(* Content-type: application/vnd.wolfram.cdf.text *) (*** Wolfram CDF File ***) (* http://www.wolfram.com/cdf *) (* CreatedBy='Mathematica 8.0' *) (*************************************************************************) (* *) (* The Mathematica License under which this file was created prohibits *) (* restricting third parties in receipt of this file from republishing *) (* or redistributing it by any means, including but not limited to *) (* rights management or terms of use, without the express consent of *) (* Wolfram Research, Inc. *) (* *) (*************************************************************************) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 835, 17] NotebookDataLength[ 1779131, 34348] NotebookOptionsPosition[ 1696716, 32488] NotebookOutlinePosition[ 1765191, 33880] CellTagsIndexPosition[ 1765109, 33875] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzt3V9sVOeZx/FIKyHFHmzPeBiDApEsERLZNEQEO8GkJEQkaLsKf2LUNsRZ KJFIIFQrF4JK1RCllqIVVSWjJm16gUTCHUjJXSxxV1nlGiGtVlqhvdiLvZi5 2Iu92IuVVvtwHp/nfc7fOWM7IeDvp1N3OPOe97znOe/xhX99z4ye/Kc3T/7d Y4899g/y3xOPP/bY/fcjAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFZJq9VaxsZW Uk+H61X1YXc9dNeBbajGD696+/IjZttUrIN24ttUr2F23/KadG1Zcrgi1Y/S 015VhrS8YVcs7zLaV+ywqGX2QEV6bVyl/+qnX95D1w6rl6vKCHsdHgAAAAAA AAAAD7VWq/XrX/96fHxc8xHduHPnTtm4ZXTUb9y9e7dstBhF/3nhwoUzZ87I 7s1m0/6EfvLkyf379/t9U4fTHVPGI6mPpHM5kHSe6i132KL80NJb0afa4Hqj Uf01PDwsA6vY+FLU3h9a3hxrNP7caHxdr9+Nfsp72fJko6HF1DaX4h6Oue1F w7Y2fsfZej116PJ9/afPNJunok9vRYOUN5fr9YOZc+naVQmtg3QrO96NDiRv Trk65PYjA0tVL7vXQVf/gwVDetW1OVVt2NJg175Xps+ekdebH5z+yYnjW8fG slPUt5cG0kzby2v7xK6i9tLz0V9+IA2KejOv/fyn0lJ6tpbyU7bYwEpeupf8 1PbljfcdnbaSFvUvZ/f8y3uL6iBDrT4qLe+yi+DLLn586KAdWk7kic2bsyOs ODw5wa7jAQAAAAAAAADgodBqte7cuXPmzBlLfDRHu3fv3szMjG7UZnNzcwsL C41GY8vo6NWrV6WB7Hjjxo17EWssbt68eeHChdxMSv4pjaWfGxkTExP79++X T/1GaSlbrly5kurt5MmTsl2OIuPx+YgcWgeZDXq089QuqbHdjSKqiq+BgYGh oaGKjb+q16WxnIVW+NU4ccu+bkdhlhXzerx9Nuohe15+2NbG7ygvOZyedckp p/qXn6eiweQO8ut6fTIeZNeuSkzGAV9uHY7Fw04FkQeLB2Z7ydGfdM2+dvX3 XfkqPd3Xl1sl3/7Hhw7OfXPzj3/7a+r1q7/8aXTbU9nsafvELvko2372i8+f f3lvNjI++ssP5FM5xBObN6dGmxqJdmud6MbsgXJfO17aI3vt2vdKlcYyVK2n HKVrY6uDP6ncChSNSo4yffbMsovgK/n7W99mj/LWh+c0JbR5XnF4b35wuuhX BwAAAAAAAAAAD5cNGzZcjfj0SuO/+fl5v3FhYWFubk62yPY7d+7MzMwMRLaO jZ0/f17aHzlyRJfUaT6YmxDJ4aTlvn37dN+hJI3wBmK6URrr4Sy70REuRnzo Iz81r5RdZHsqL7hy5Yrmg9mcyMbWUz5Yq9Wq54NfDg3JGekpHKvQ/qBbn6hb ztZq0kN25H7Y1sbveDfKIjf29VXcVy/35YLYzidxPiIs6qpk7k0Wx3z2utRo pFLLKtW7HKeBs+4spvr6UrNi0u3y6fr1ekGL8kE59FsfntOo6MTHH02+/tqP dr/47NTuvUcOz37xuWz8/a1vZaMPqrZP7NKIShpIM2ksL2mj7eW17+h0Ixlw azSmMVZJxmqp1rN7pqyZ5ncXr1+TgelLj5h+7Zlqbdokx33+5b16LuXttz23 Qw8hdGy57Q+9f0qTUzll2cXflTrUiqOSo6ykCLr93blPdCTSg56C/Dzwzts6 QvlpI5SiaSfyadnwpnaPbntKpwf5IAAAAAAAAADgYaerBe/cuTM0NKRRhUZ4 GsBZpKUbDx069MTmzbpaMBXwzc/Pa8go7W/cuFEUw/l8UBsbaezzQftUO5c+ rcMto6PaifzcuXOnZTryU5rJufi4U487Pj6uCx7PnTunJ5WbD87W6/I6W6vp 69P1631+ZNv1lcoHrw0Ophr413R/vx73mWbTh2Kyl3w01dcnP+X93Xix28Yo zJJT8PmgyI48Fcxpm1Q+KK/fRCVNRS25+8rGg8l95dwPRIM8Xqv5ZY8+dpSe s12VJClSh1RX0nmqDvqSQ1suM5kcWG71dMA6f/wSQo1ofW7lM1A5kfJ88LWf /1Qjpx/tfjE6v5rOUp2uB955W7M2K/LWsTENB+Uja2/2Hjlsi+YaLvh+84PT tmDt2andReOxVEsGY1Nd88HZLz5//PHHbXhFZBfNBw+9f6prex2h5YO57fW8 pAI6Bj8qHWqVUWkKuZIiWIx78fo1+UVhZdcRNjeO6Ag1edTfbNrJ+IsvyAi7 Fq1keSkAAAAAAAAAAA+LVvRNgvfu3ZuYmNC/z2tIt3PnTvmpS2Zs4xObN2sq J2/0D+m6VE1+WsgoquSDQy6ONJYP2p/ihbyR3jQf1F3kWIuLi7Va7erVq7rI 0dZPSTNdzGiLfUbcw1Hl05J8ULbIsTRH0EBnqq/Prz5bt26dZhw+5vChmG+Q YiflM6lP169P7TLd36/hoA5yFfPB3AV0RfmgT+5kSH6QMravk59arFM9H9SH l5bXwT6Vw2muJwP7s9srW3DdS3qTjVrtoiWEreirFf0ANBsqWvMoGzXs03DQ 8ms9hKbYO17aM+BCWF3C9taH54raa6R48fo1n21pNPazc7O6zK21aVPRWleL xmzYlg/qEe1wKXqxpLHlgxqMlrTXivl80Oazp3eErtHTVYc+gPN3QcmoxEqK sHVsTGNcCwf9EXWE+45O25XynWgdcofn61D2+xQAAAAAAAAAgIeB/tlfv4JQ /zauYVytVltcXPQbFxYWBgYGNB+0v7rrX8tT0V7FfNAyEVvP5TvRkEWHJyPR R5tq8iUjkf6l2czMTGrloxxaOpcGPjfcMjqqTyjtmg/qIilNcBrR1/b5aMli lEb88E/56eMqy00aGZaA2HK2W/W6xluaWWgzW4dlodsq5oPZp4zm7juZSe78 icubjS42/Wxw0J5o2lM+aMO7Ha3dS5VO3vgg9el4NaVtuTY4mBqY7jUZPffV pz+5Swhle0+LB/Wr+i5ev2bjtPlps9QutE5FjdIaG5rac7a9RWkyPy211Ghs /MUX3rv8z5qRDRU8p7c8H7QOc+klsHzQlgmXtBc+H8yekQ5ARqKncOCdt1MB XG4dskdZYRH02aSyi4Wk/rx0hDpV7EplOykfIQAAAAAAAAAAj4Bms2lfQSgs fZubm/OPDJV/pvJB2VF7aCWjva754JkzZ6Sf/c6W0VELGfdFdPuRI0f0kaFb x8a0Q13tOD4+Lsd6YvNmDf4sidB8ULboIseGW28o7S0fzF2OZOdiUUIqH8zG DdlQrDyXeSbZ3tas2S6aOWrcpmNYxXxQG/ioJXffg8mzToVBsou0+SoO127V 67bqqno+6I/72eBgbh1Sw9Dsz7Ycj6qXSpk1pLMc2TbOZqLGXhcPaupkS+2y WZUVR99sn9jll/Jle9aB/eJ3l+zxmDqBNRqTLY0NTV2xqF+ulwouK+aDucW3 AaTywa75l4WeJf3bKWi3OpN9Ptj1+ZyWDy6jCLLl9B8u+8WA2cNpoVTLPf7U V7J8hAAAAAAAAAAAPAIsQRsaGtKvF5yYmBgYGDh06JA9MlS/fPD+o/lWIx/M kt2H4+8f9GQA8/PzOh7tUJ8Uao/3tO891CTi5s2b+uWGcjo2Bn2v+eD58+dz B5YlDbL5YGrH3HytpGff4YH+/twIwy9WWpV88Fa97r/xcDJK0DbE39iYzTdn kwvrsuHRhuiLGq2N5nSNZApZPR88Gyd9vg6p4uu3N2aXczbib+7zpbOQzo7l lxB+un69dNXT4kHLBydff61ilKbrDU//4XKVKE2X2mm8ZdGY7KgPIM19wOYP Nh9sxV//t/fI4ZXng7KL1Lx6EWzLtud2VAz7yAcBAAAAAAAAAGtTK/4Kwq1j Y5oJavqmWaGu5tPleLLR54D2p/5e80HpUL8wzp6lqY21E/tIlwGObnvKf9eh PvXUnkV55MgRWyooDeTQ0ol8pN+HKNttLaHmg0UDyy3LMvLB8vWDXTtMyeaD ttDM5C7c8/ngtcHB47WatbGv82sVrH/02d+6det8EGyjWt18UI/rG7ei74JM tem1etZVdgmhjwvLFw+OJBOrKgdNRW8lUVpqqZ3lg89O7dZbY/aLz/VLDFOL Fn+w+aBstIemrjAf1CLILroksEoRss8yLT9WbifkgwAAAAAAAACAtaAVfwXh zMyMPlPU0jd91uj58+dtyV7qKwKtB83pqueDFgvqgTRHsM7t08XFRRuPNNCj yDj940n1gaX2HFTNB+3Ro7Jlfn6+68Byy9JTPnhtcPBsrTZbr2dfz0SJ3grz wVv1+pdDQ1/V67LFv75yyVdRPrhu3Tr56ZvZ9xuW54P2cNFUZVY9H8w2zo6t qHq2bDDLPvJLCP1qyq6LB0eSiVWVyVMxekvlg7oWMhWNjW57KvcBmxXzwdyQ OneQXb+vcMTlg0XfP7hldPTduU/8GLLfP1jyBX/Zatv/UaFiEVaeDzaKv4ex a1cAAAAAAAAAADxc9CsI5+fnFxcXT548qX8nHx4evnDhwo2Ifvng0NDQxMSE PoA0lQ9KS8sQq+SDGv+llsL58FEHoKv/tL00vnLliozwRpJs8YfWfFDIGO7c ueNXIH6n+WDJS/rR3GEl+WCVV0k+6BfN3Y2fMppdo/cw5oNFJXq1+FsI71Ze PDjygPJBuwX+/h/fyT5gsyQfvHj9mmzc8dIeGUP2tXVszPIvHeTsF5/LAA6f fk8OnX1Z+xGXD46/+MKze6Z8tz85cfytD8/pysHf3/pWFw9qlmdDLTmK9GBH SVVbi5D7lNHVzQePX/qtjDB3ePuOTme/cRIAAAAAAAAAgIedfQWhpWn6x3b7 QsA33njDQkNd06d/ute/6m8ZHZWN2WV62cU4zWbT8r5UztJKPqRU/yCvjwwV 9rzTmZkZffqoLT/0kaXlg3Lo8fFx2S5bNCxoRKsLH0g+KPvqGT2ofFBTMB+Q 6VNGZVRV8sHsNyR+D/lgtk1u9UpKpGXXGZhaQng3el9l8eDIg8sH9exke/Yp oyX5YPlL+tdubZDlL2nj87iu7U98/FFjQ9PiOT/UiqPKVluLkH3KaNd8sOuz TEdcPljykgb2q6xrhwAAAAAAAAAAPCxa8VcQLi4u+ocHDg8P6xI8aWPfJqYP +dTvAdy/f/+VK1ekzcLCgn5BoYZ08/Pz/hGganx8XHqomA/q3/Yto5Rd/DcJ 2sKiRrQOTgajKxwtH9Shyhvf+Ht4vmju6+nVyAdL+q+SD+ql+Tr5MFIZwCOf DxYtIZQ+/VQvnwkPKh/UYWefMlqSD859c1M6LHrteGmPZaY2yMcjtfj7QD1L 6EZcPrh9Ytf9JYRTu2U88pIe9LiNDU1Non2VbKjlR2m4/y9BtgjyUfYpo6ub D8oZlQyvyjwBAAAAAAAAAODh0oq/gnB+ft7/aV1+Xr16dWFhwS8IGh4e3r9/ /40bN3Rpoe5lsZ3GcPfyaDbnnxeamw9aWKAbbQmhPgHVZxZKn4O6uLho+aAG ZPKR/ByOaMubN29+d/ng2Vpt3bp1GjF4Pv5YST5Y1H+tcj7YiB4r6hO0p/v6 quSDP+Tni+oEkPe1KO+bcmeUqnC2/hVTpAebD+otkHrKqBSn5PsHNYnL5lyp JM4GmVqQ6+mxUusHLUfTNvJGnyy6a98r/heFXWvLB/XTrEb8JNiialcswgrz waI66P+7gPWDAAAAAAAAAIBHjz7Ez0IB+1u9vLc/ktujGnVj7hKb3E+zf3W3 BDB3DLZkKTUwG57f1w/SN2hlyPAakSpLgZaRD9riqUaSjcd3eKC/v9d8MLf/ ocwzQovyQU1LU08ZLc8HN8ZL8FKV+R7yQV+r6f7+onzQT0hRkg9WuaBFM+EB 5oMj8S3gnzIq/yzPB3PnoZ+KqXxwKJm5ez7ps3zQYnpdw7vv6LQmd9lgLpXZ 6WnmHqUkH6xYhA0r+P5B7WQo86WoqeEBAAAAAAAAAPAosZxF/zxuf6u3VXjZ jRbbae5gD3LUflKhnrbRZv4Q2TGkPrUObffUvn6QvXZeXpBe80ELR7LRpHom uSau13wwt3/poWI+qEnHUPIpo9nxH8x7RGfRqG6vOB/8dP36bGN5nxqGtPGL H4+76tmsk3EeS66OlDZ+YdoK88G9Rw73lA/OfvF5lXxQui3PB1t5TxnVpCw3 H/SL+HKNVA4xU1fN8kHfvyZ3uoRQS+QnTK9r+orywSpF8GHf8vLBKvMBAAAA AAAAAIBHSSpBKNk4EsdtuetrLDUoWoaT7S17uOzGkoU8uQlIxRMsqcYy8sHy nKXZbN52a/dyExM/wmw+mO0/dwxF+aCGLKmnjKbyQf/pb6K1n6mzfjKKBVOd 95oP+oRRVyluSK4JvexCTE36/EpJOW5uqpgNLi0kqnJBi2bCT04c/+Pf/vqz c7NVojT5dOvYmLS/eP1aSSiWTaaK8sGReJGsPWCzuXGkaz5YnsStJB/M9i9F tiWEqd5WKx+sUgTp/Be/uyRbJl9/rUqSm3sVyAcBAAAAAAAAAFizlp0Plqwf lI987HU8fq6jNTgW5YZPxk9AXfV8cCQOWWYzSwhtX/n0lvv0QH9/arHYn5Pr +OzplNVLIdtPuU4+Xb/e8h2rg30qg7EI0h96OhqYr16qT3/WFS9o0UzYPrHL wq+SkKvlVrrpMrcto6NFC9nkI43bmhtH7PGeJQ8y9Q/Y/Nm52R9UPij7Fi0h XMV8sGsR5FNNck98/FH5SWXjS/JBAAAAAAAAAADQaz746fr10kZ2yX1Nxl+7 5h8xKq8vo+d5SoODLvyyiNDHfKuVD+ou2aeM+n19PCevy/W6nsWxKK3zyd3G uCw+H+xaCjmEX4Sop3wsrsPl5MAO9Pfr+OUQryYH9tngoFXvutuuaxJT5VpJ PigDvnj9mqZpuQvT5J9vfXhu+8QuW6SpIVfRI0bln+/OfaJJlj0OtDwfbCUf sKk/x1984YeQD45ESwgnX38tu4RwdfPB8iJI509s3rz0ANJo9+w3jW4ZHZXK y88N8bepkg8CAAAAAAAAAADVaz5Y/vqqXtfoTXo4VqH9gXhx3HeRD2rIksra /KI/Oe7lvO8o9K/b0WM/7RmezWTuWV4KXQw4mYwIc1+6DNDSn4rVm44jRR8P LTsf1CJvn9ilwZNFhBYwbR0b04xp7pubWnwNqjRSnP3i89FtT2l73UUjKo23 5L19+WB5NDaSfMCmvlYrHyz/3kwdhpxXST64tC41WtCnJbI1sD4f9Os9i6yk CPakU6ntgXfetuBVRyIXUS/KL353ya6Izwcbpet/iQ4BAAAAAAAAAHi0rW4+ +OXQkKYPzWazEa13K4rGbkfxloUp30U+OBKHLJcK8kFdYJh9Bqm9vq7XNRz0 uUxPpbCI8FbBUW5HDy+VQ1gapRFP1+rpekPLenq6oCWTQVpue26HRoRz39x8 68Nzb35wWl76hXf6bYP6pFDNxeSnRYQaSGn7d+c+sU6kQ1s8WCUaG0k+YHNV 8kFpf+j9U4dPv6fDy772HZ22MyrJB3VsO17ao9mclMLmkgZw5UeR19axMW2/ kiLoldKIUIts/Z/+w2XdeOLjj1qbNll0qMM7fum3MsKS4Um5dBJ2nS0AAAAA AAAAAOAh1Wq1JqPFbl8ODcnr6b6+7OMK9fsB5dNrg4Plr98MDFhipenGxr6+ 47WafHQ7DrbkvWzZ6HI3OdyleAzT/f25eZaNwbfxO8qhLfhL7fhk9IhOHb/v X8OgoeisZXf5VDO1W/X6Z1FLi+10EdbySqFRqbyXDqVbCwqlzdlazfJHX3aL CLtWzxaC9XRBS+jqxdamTSc+/kgDPnvNfXNz75HDUhA/Wg2q5J+HT7+nX8xn L9n90PunmhtH/JI6HeH02TP3o7E9U0VjayUfsDn+4gt+pZ490bRKPrhr3yt+ VEWvX/3lT1rMrvmgX0IoZ61tLIDr+nr+5b06dZfywWUVwWbItud2WCBoLxnb s1O79Uql4suuLxmVLRqtMmEAAAAAAAAAAMDDSIOGgShfy65HG4kDEW3weKnU wxU1bBqKVtL5fS1jsocfWrNUUpY7BmuT3TH3OY0aAqb2taxK8zvZmDq71CCX XYrUCWaPomsMszFfxeoVrTsruaBd54Mdd9tzO56d2i2vLaOj2lv2AvkKSzNt r2sGi2qo7e3Ec4dhyaMd1CJavV5Fy+6yp2M1tFPI0g51Uln/RcOzNjYwK1r5 UXw1tP3yijDiQmT9VMsuLw1k/Rn5GLcWKxledjYCAAAAAAAAAIBHjOY1w8PD jUZDVzZlIzYfZ5TQHny4YJ2nWtqBfJLYiBStpcq2SW0sysv8CWb7104sJUwN siS266kURTs24i/yy41julZveRe0Kx+bdq1JyTjtBLOrQbV9+dhsGL4Tq2TF ZW4l51J0vbr279ukpmLXiWG7rKQIfhhVrlRP83YZEwYAAAAAAAAAADx0LODQ NyUNusr2kLtvqlkrqfogWxmreILfRSm6tqk4sIp7dW3ZtYemU1ST8vbZXbpe r/KW1Xe39tWvV5XpNJI3Y3udGCssQurstOCaNuZeqV6HV6WwAAAAAAAAAAAA eCQtIy0iYHogKDsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA5NoJAAAAAAAAAAAAYM14 AwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAfO/+BQAAAAAAAAAAAMCa8a8AAAAAAAAAAAAA 1ox/AwAAAAAAAAAAALBm/DsAAAAAAAAAAACANeM/AAAAAAAAAAAAAKwZ/wkA AAAAAAAAAABgzei0O51Ou925/x/93+h/7v/Qf9x/q/9Z+nd7qYG9iXde2pzc 3o47bEf/CE2s9VKj6Hjxgd0+rsHSfzt+VB2/59Ln4eB2bu2278+104/iAdgB ls6+3YmP1w5vlz4M9QmnEXfrxtF2R0zVzZW9k+jSjSiuWXupEKHfxPHCj7BT +iKE6xafi52sbV7q0q5bXG+7JHHp7ZK33TCtvKGOcSM3l8I+S8N1F91qZpWz UoSDWYXc9bTZGy5UouyutPa5v35+9sQzOTGtXVXDJAnzLpx+Ym64qRjfA6na 2blbm0Tv/p5qu6O58XWS7xOjCsXsxLMtDCtxCf1Jtv3phnNzt0coqh9V8l4I V87fxPF2G4ifvskzDL8QbCrHc68d/tdNA3/4RCE7bovNJrsAnXCaHWtqZ2s/ /fQPN2DyctsYE0e1yof6JoYZ5pSfKe6Ojo8TJpi/Vdp2tRJ3qrWw0zLWS3yT +BHZzWaVbYfP3G+BThhBuE06bkDWh7vY4Y7thHslvI3P282tMK/TR+i0XX9h 1OEXRHzwMAHbbuShUPFMcTdhfDw/i8K8CBchDC7c4HYeoS5uNsSn4i+dXf70 Tex+CdmRE9MjzGR/3ds2Yn8Lhg9tqO5ODW3cLHIT3y5QmJZ+xtrUCaOz6+NH mfhtZGdtfVi5rKyh8omZZpfU3dyJS+amnV3TcIKulu4/jk2/+CqHWRsmZvIg 1qv/tRNmok12O2Y4fPqqhyP5m8OOELfv2K7hX3F1wkUKd6KvZrgl3PXrhL3s t4ex0wx3WrudbuFOyCa0n3m2m5+lyYvvjutmTWJ4dj3ju8eK6G7H1NYwncOV 80f2k9qmRmpSd+ydm1OJK9QOEzWeCW6KhpnrrmOYxW1fAz9qf+ptP1y7TxM1 C7d5Yg7YlY1ngJ+V7v5I1MD2CkMJNQ/3XPJOizuzoVsP8Zm3M0O23kPzcD3t EMlZZlciHnTivd1h6donbvH4ZrTpZO3iGy5MFDdjwpj9JLRZGiacDSVZNruT 3fxt+18INpkSY7QauUvsmoYrlyx+x43CX/VOONtw69g1sKtlF9UdONwZYSra lXI3iV3xcEOF2d4JVU1UxS5SmG3u0iQmhl3txOGXKmZzO/wW8PenmxTtdmqs Np64dn5rKGuYF223SzxfO2GANm9SN6K7gOGHlTj03rHTdCcZ5mM7jM0mYVwU d1HdYPw8Skwhq6KvTaiAnzvJ6sYlj29rG1m4ccPo/cRzg0/MSDf57aKGLeFk fdnstN1gQoUTdbIS2z3nr2aY1HZ+1j78OxzeDdj9Imi7Htwg/OzuuGOFKxzu Xnfp4/3DfZiYWnap3Mm6qWxTIdxVndB54ldDO3GyNmg7ms3+9O0SrqzrKlTL Kmr1sqH5OyVZRHfDJiri5mYn7ivUJdw3dvBQqMRst10TZxE3T064MLfDRQqN QnXa/jTjy9q2EVn5fWHi1jZnXDO7E23+2BlZQcKtGCanm4mh4p3ESfipYYNN HDzcgXbIjp1vuJOtTZgXnfiudneWv9385Ai3ie+ynTyrUDZX+cRFsWLbvWCj SN2tHd+x3bjWyF1MmzM22f2daOfqz8hqnLolE1fAdxp6dvepu1MTu4TfB/EN 5foMdfJ1DXMhzGebHMkZ6I4YCpP5PRBvT9yA7maN53C8KXzkLlQYs90z7vra mMKFa4cm7p5uhwOEqeDnfjvRkZt2NkXcpEn8OrBr4npxw/QXNRzCRu/vTnfL ujG7EYY92uF/QqN4loSr0Q7n4k7apmsYqLvqYXKE//EXqG3nljihMJNsGG6A 4bZyt4hNAz8X/P2SOEO7T+L37qpaVf2+4Qq76sTN7dYI1zbcTpkDpu6AduKu DFPA3Y3xvZi4WslboGMF8fVqu9478X0cqmTV9xfXjhVOwK51OE64P21axjM8 rqa7Y0Jjdx5WXHc7hA3uKrjBdJLHS81B17FdUJtGfo7GRwi/R9zUs0KEKx6m WTzz3EXuWD1CUd2d6IYaZmoolTsJq087jMeqGgpjEy7T1g4S/uUnT2Ki2Hji EvgZHW6jeA7ZNUgMNuxlbUM9E3e4u45WTptX+ua/AAAAAAAAAAAAAKwZ/w0A AAAAAAAAAABgzfgfAAAAAAAAAAAAAGvG/wIAAAAAAAAAAABYM/4PAAAAAAAA AAAAwJrx/1oIIGU= "], {{0, 75}, {2400, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], BaseStyle->"ImageGraphics", ImageSize->Magnification[1], ImageSizeRaw->{2400, 75}, PlotRange->{{0, 2400}, {0, 75}}]], "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}, { 3.473785056790244*^9, 3.4737850735465307`*^9}, {3.485608891427413*^9, 3.485608902078108*^9}, {3.516534228793694*^9, 3.516534238460294*^9}, { 3.517925345960129*^9, 3.5179253474520397`*^9}, {3.518187873028657*^9, 3.518187875044894*^9}, {3.5181990234752483`*^9, 3.5181990242399282`*^9}, { 3.518200170676401*^9, 3.5182001710513353`*^9}}], Cell[CellGroupData[{ Cell[TextData[{ StyleBox["\[DoubleStruckCapitalS]\[DoubleStruckT]\[DoubleStruckR]\ \[DoubleStruckE]\[DoubleStruckN]\[DoubleStruckG]\[DoubleStruckT]\ \[DoubleStruckH]\[DoubleStruckE]\[DoubleStruckN]\[DoubleStruckI]\ \[DoubleStruckN]\[DoubleStruckG]", FontWeight->"Bold", FontVariations->{"Underline"->True}], StyleBox[" ", FontWeight->"Bold"], StyleBox["Mathematica", FontSlant->"Italic"], " through", StyleBox["Wolfram|Alpha", FontSlant->"Italic"] }], "Title", ShowGroupOpener->False], Cell["Michael Trott", "Subtitle"], Cell["Wolfram|Alpha", "Subsubtitle"], Cell[CellGroupData[{ Cell[TextData[StyleBox["Mathematica \[DoubleLongRightArrow] WolframIAlpha", FontSlant->"Italic"]], "Subsection"], Cell[TextData[{ "\[FilledSmallCircle] WolframAlpha is written in ", StyleBox["Mathematica", FontSlant->"Italic"], "\n\[FilledSmallCircle] WolframAlpha makes extensive use of ", StyleBox["Mathematica\[CloseCurlyQuote]s", FontSlant->"Italic"], " algorithms" }], "Text"] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ StyleBox["WolframIAlpha", FontSlant->"Italic"], " ", StyleBox["\[DoubleLongRightArrow] Mathematica ", FontSlant->"Italic"] }], "Subsection"], Cell[TextData[{ "\[FilledSmallCircle] ", StyleBox["Wolfram|Alpha", FontSlant->"Italic"], " can be accessed from within ", StyleBox["Mathematica", FontSlant->"Italic"], "\n\[FilledSmallCircle] ", StyleBox["Wolfram|Alpha", FontSlant->"Italic"], " knows many things useful in mathematical and scientific calculations\n \ (data + formulas)" }], "Text"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[TextData[{ StyleBox["Accessing ", FontWeight->"Plain"], StyleBox["Wolfram|Alpha", FontWeight->"Plain", FontSlant->"Italic"] }], "Section"], Cell["\<\ Three methods to use Wolfram|Alpha\ \>", "Text"], Cell["\<\ 1) through website (mainly for visual inspection)\ \>", "Text"], Cell[TextData[ButtonBox["representations of \[Pi]", BaseStyle->"Hyperlink", ButtonData->{ URL["http://www.wolframalpha.com/input/?i=representations+of+%5C%5BPi%5D"], None}, ButtonNote-> "http://www.wolframalpha.com/input/?i=representations+of+%5C%5BPi%5D"]], \ "Text"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell["\<\ 2) through \[EscapeKey]==\[EscapeKey] (mainly for visual inspection)\ \>", "Text"], Cell[CellGroupData[{ Cell["representations of \[Pi] ", "WolframAlphaLong"], Cell[BoxData[ NamespaceBox["WolframAlphaQueryResults", DynamicModuleBox[{Typeset`q$$ = "representations of \[Pi]", Typeset`opts$$ = { AppearanceElements -> { "Warnings", "Assumptions", "Brand", "Pods", "PodMenus", "Unsuccessful", "Sources"}, Asynchronous -> All, TimeConstraint -> {30, Automatic, Automatic, Automatic}, Method -> { "Formats" -> {"cell", "minput", "msound", "dataformats"}, "Server" -> "http://api.wolframalpha.com/v1/"}}, Typeset`elements$$ = { "Warnings", "Assumptions", "Brand", "Pods", "PodMenus", "Unsuccessful", "Sources"}, Typeset`pod1$$ = XMLElement[ "pod", {"title" -> "Input interpretation", "scanner" -> "Identity", "id" -> "Input", "position" -> "100", "error" -> "false", "numsubpods" -> "1"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ TagBox[ FormBox[ TagBox[ GridBox[{{ StyleBox[ TagBox[ GridBox[{{ StyleBox[ TagBox[ TagBox[ TagBox["\[Pi]", HoldForm], $CellContext`TagBoxWrapper[ "Entity" -> \ {$CellContext`MathematicalFunctionIdentityData, HoldComplete[Pi]}]], Identity], { LineIndent -> 0, LineSpacing -> {0.9, 0, 1.5}}], "\"representations\""}}, GridBoxBackground -> {"Columns" -> { GrayLevel[0.949], None}, "Rows" -> {{None}}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, ColumnsEqual -> False, RowsEqual -> False, GridBoxDividers -> {"Columns" -> { GrayLevel[0.84], GrayLevel[0.84], GrayLevel[0.84]}, "Rows" -> {{ GrayLevel[0.84]}}, "RowsIndexed" -> { 1 -> GrayLevel[0.84], -1 -> GrayLevel[0.84]}}, GridBoxSpacings -> { "Columns" -> {1, 1, 1}, "Rows" -> {{0.3}}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AllowScriptLevelChange -> False], $CellContext`TagBoxWrapper["Separator" -> " | "]], LineSpacing -> {1, 0, 1.5}, LineIndent -> 0]}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, ColumnsEqual -> False, RowsEqual -> False, GridBoxSpacings -> {"Columns" -> {{ AbsoluteThickness[-1]}}, "Rows" -> {{0}}}, AllowScriptLevelChange -> False], $CellContext`TagBoxWrapper["Separator" -> " | "]], TraditionalForm], PolynomialForm[#, TraditionalOrder -> False]& ], TraditionalForm]], "Output"]}], XMLElement["dataformats", {}, {"plaintext"}]}]}], Typeset`pod2$$ = XMLElement[ "pod", {"title" -> "Alternative representations", "scanner" -> "Data", "id" -> "AlternativeRepresentations:MathematicalFunctionIdentityData", "position" -> "200", "error" -> "false", "numsubpods" -> "8"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == 180 Degree"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", TagBox[ RowBox[{"180", " ", "\[Degree]"}], Identity]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == (-I) Log[-1]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ RowBox[{"-", "\[ImaginaryI]"}], " ", RowBox[{"log", "(", RowBox[{"-", "1"}], ")"}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == ArcCos[-1]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", TagBox[ RowBox[{ SuperscriptBox["cos", RowBox[{"-", "1"}]], "(", RowBox[{"-", "1"}], ")"}], Identity]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == 2 EllipticE[0]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", TagBox[ RowBox[{"2", " ", TemplateBox[{"0"}, "EllipticE"]}], Identity]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == 2 EllipticK[0]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", TagBox[ RowBox[{"2", " ", TemplateBox[{"0"}, "EllipticK"]}], Identity]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == 2 I Log[(1 - I)/(1 + I)]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", " ", "\[ImaginaryI]", " ", RowBox[{"log", "(", FractionBox[ RowBox[{"1", "-", "\[ImaginaryI]"}], RowBox[{"1", "+", "\[ImaginaryI]"}]], ")"}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == Sqrt[6 Zeta[2]]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", TagBox[ SqrtBox[ RowBox[{"6", " ", TemplateBox[{"2"}, "Zeta"]}]], Identity]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == Sqrt[6 PolyLog[2, 1]]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", TagBox[ SqrtBox[ RowBox[{"6", " ", TemplateBox[{"2", "1"}, "PolyLog"]}]], Identity]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["infos", {"count" -> "8"}, { XMLElement["info", {"text" -> "log(x) is the natural logarithm"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Log.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/ElementaryFunctions/Log", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/NaturalLogarithm.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{"log", "(", "x", ")"}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the natural logarithm\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {"text" -> "i is the imaginary unit"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/I.html", "text" -> "Documentation", "title" -> "Documentation"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/i.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ "\[ImaginaryI]", FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the imaginary unit\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", {"text" -> "cos^(-1)(x) is the inverse cosine function"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/ArcCos.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/ElementaryFunctions/ArcCos", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/InverseCosine.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{ SuperscriptBox["cos", RowBox[{"-", "1"}]], "(", "x", ")"}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the inverse cosine function\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", { "text" -> "E(m) is the complete elliptic integral of the second kind"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/EllipticE.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/EllipticIntegrals/EllipticE", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/\ CompleteEllipticIntegraloftheSecondKind.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TemplateBox[{"m"}, "EllipticE"], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the complete elliptic integral of the second kind\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", { "text" -> "K(m) is the complete elliptic integral of the first kind"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/EllipticK.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/EllipticIntegrals/EllipticK", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/\ CompleteEllipticIntegraloftheFirstKind.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TemplateBox[{"m"}, "EllipticK"], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the complete elliptic integral of the first kind\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", {"text" -> "\[Zeta](s) is the Riemann zeta function"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Zeta.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/ZetaFunctionsandPolylogarithms/Zeta", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/RiemannZetaFunction.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TemplateBox[{"s"}, "Zeta"], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the Riemann zeta function\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", {"text" -> "Li_n(x) is the polylogarithm function"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/PolyLog.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/ZetaFunctionsandPolylogarithms/\ PolyLog", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/Polylogarithm.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TemplateBox[{"n", "x"}, "PolyLog"], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the polylogarithm function\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {}, { XMLElement[ "link", { "url" -> "http://functions.wolfram.com/Constants/Pi/27/ShowAll.html", "text" -> "More information"}, {}]}]}]}], Typeset`pod3$$ = XMLElement[ "pod", {"title" -> "Series representations", "scanner" -> "Data", "id" -> "SeriesRepresentations:MathematicalFunctionIdentityData", "position" -> "300", "error" -> "false", "numsubpods" -> "8"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 4 Sum[(-1)^k/(2 k + 1), {k, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"4", " ", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "\[Infinity]"], FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], "k"], RowBox[{ RowBox[{"2", " ", "k"}], "+", "1"}]]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == -2 + 2 Sum[2^k/Binomial[2 k, k], {k, 1, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ RowBox[{"-", "2"}], "+", RowBox[{"2", " ", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ SuperscriptBox["2", "k"], TemplateBox[{ RowBox[{"2", " ", "k"}], "k"}, "Binomial"]]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Sum[(50 k - 6)/(2^k Binomial[3 k, k]), {k, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "\[Infinity]"], FractionBox[ RowBox[{ RowBox[{"50", " ", "k"}], "-", "6"}], RowBox[{ SuperscriptBox["2", "k"], " ", TemplateBox[{ RowBox[{"3", " ", "k"}], "k"}, "Binomial"]}]]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == x + 2 Sum[Sin[k x]/k, {k, 1, Infinity}] /; Element[x, Reals] \ && x > 0"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TemplateBox[{ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"x", "+", RowBox[{"2", " ", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{"sin", "(", RowBox[{"k", " ", "x"}], ")"}], "k"]}]}]}]}], HoldForm], StyleBox[ TemplateBox[{ InterpretationBox[ Cell[ BoxData[ FormBox[ StyleBox[ "\" for \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], TraditionalForm]], "Text", "TR"], Text[ $CellContext`GrayText[" for ", BaseStyle -> "Unit"]]], TagBox[ TemplateBox[{ RowBox[{"(", TemplateBox[{ RowBox[{"x", "\[Element]", TagBox["\[DoubleStruckCapitalR]", Function[{}, Reals]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"x", ">", "0"}]}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3}], "}"}], "]"}]& )], ")"}]}, "Row", DisplayFunction -> (#& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", #, "}"}], "]"}]& )], HoldForm]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], GrayLevel[0.6], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == 2 Sqrt[3] Sum[((-1)^k/(2 k + 1)) (1/3^k), {k, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", " ", SqrtBox["3"], " ", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "\[Infinity]"], FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], "k"], RowBox[{ SuperscriptBox["3", "k"], " ", RowBox[{"(", RowBox[{ RowBox[{"2", " ", "k"}], "+", "1"}], ")"}]}]]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == 8 Sum[1/((4 k - 2) (4 k - 1)), {k, 1, Infinity}] + 2 Log[2]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ RowBox[{"8", " ", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox["1", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"4", " ", "k"}], "-", "2"}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"4", " ", "k"}], "-", "1"}], ")"}]}]]}]}], "+", RowBox[{"2", " ", RowBox[{"log", "(", "2", ")"}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Sum[((3^k - 1) Zeta[k + 1])/4^k, {k, 1, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{ RowBox[{"(", RowBox[{ SuperscriptBox["3", "k"], "-", "1"}], ")"}], " ", TemplateBox[{ RowBox[{"k", "+", "1"}]}, "Zeta"]}], SuperscriptBox["4", "k"]]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == -3 Sqrt[3] + (9/2) Sqrt[3] Sum[k/Binomial[2 k, k], {k, 1, \ Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ RowBox[{ RowBox[{"-", "3"}], " ", SqrtBox["3"]}], "+", RowBox[{ FractionBox["1", "2"], " ", RowBox[{"(", RowBox[{ SqrtBox["3"], " ", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox["k", TemplateBox[{ RowBox[{"2", " ", "k"}], "k"}, "Binomial"]]}]}], ")"}], " ", "9"}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["infos", {"count" -> "3"}, { XMLElement["info", {"text" -> "(n m) is the binomial coefficient"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Binomial.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/GammaBetaErf/Binomial", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/BinomialCoefficient.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TemplateBox[{"n", "m"}, "Binomial"], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the binomial coefficient\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", { "text" -> "e_1\[And]e_2\[And]\[Ellipsis] is the logical AND function"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/And.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/AND.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{ SubscriptBox["e", "1"], "\[And]", SubscriptBox["e", "2"], "\[And]", "\[Ellipsis]"}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the logical AND function\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {}, { XMLElement[ "link", { "url" -> "http://functions.wolfram.com/Constants/Pi/06/ShowAll.html", "text" -> "More information"}, {}]}]}]}], Typeset`pod4$$ = XMLElement[ "pod", {"title" -> "Product representations", "scanner" -> "Data", "id" -> "ProductRepresentations:MathematicalFunctionIdentityData", "position" -> "400", "error" -> "false", "numsubpods" -> "7"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == 4 Product[1 - 1/(2 k + 1)^2, {k, 1, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"4", " ", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "1"}], "\[Infinity]"], RowBox[{"(", RowBox[{"1", "-", FractionBox["1", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"2", " ", "k"}], "+", "1"}], ")"}], "2"]]}], ")"}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == 2 Product[(4 k^2)/((2 k - 1) (2 k + 1)), {k, 1, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", " ", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{"4", " ", SuperscriptBox["k", "2"]}], RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"2", " ", "k"}], "-", "1"}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"2", " ", "k"}], "+", "1"}], ")"}]}]]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 2 Product[Sec[Pi/2^k], {k, 2, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", " ", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "2"}], "\[Infinity]"], RowBox[{"sec", "(", FractionBox["\[Pi]", SuperscriptBox["2", "k"]], ")"}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 3 Product[Sec[Pi/(12 2^k)], {k, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"3", " ", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "0"}], "\[Infinity]"], RowBox[{"sec", "(", FractionBox["\[Pi]", RowBox[{"12", " ", SuperscriptBox["2", "k"]}]], ")"}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == 2 E Product[(1 + 2/k)^((-1)^(k + 1) k), {k, 1, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", " ", "\[ExponentialE]", " ", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "1"}], "\[Infinity]"], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", FractionBox["2", "k"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], RowBox[{"k", "+", "1"}]], " ", "k"}]]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == (6 E)/Product[(1 + 2/k)^((-1)^k k), {k, 2, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", FractionBox[ RowBox[{"6", " ", "\[ExponentialE]"}], RowBox[{ UnderoverscriptBox[ StyleBox["\[Product]", ScriptLevel -> 0], RowBox[{"k", "=", "2"}], "\[Infinity]"], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", FractionBox["2", "k"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], "k"], " ", "k"}]]}]]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == (4/Sqrt[2]) Product[(4 Floor[(k + 1)/2])/(2 k + 1), {k, 1, \ Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{"4", " ", TemplateBox[{ FractionBox[ RowBox[{"k", "+", "1"}], "2"]}, "Floor"]}], RowBox[{ RowBox[{"2", " ", "k"}], "+", "1"}]]}], ")"}], " ", "4"}], SqrtBox["2"]]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["infos", {"count" -> "3"}, { XMLElement["info", {"text" -> "sec(x) is the secant function"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Sec.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/ElementaryFunctions/Sec", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/Secant.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{"sec", "(", "x", ")"}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the secant function\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", { "text" -> "\[LeftFloor]x\[RightFloor] is the floor function"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Floor.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/IntegerFunctions/Floor", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/FloorFunction.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TemplateBox[{"x"}, "Floor"], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the floor function\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {}, { XMLElement[ "link", { "url" -> "http://functions.wolfram.com/Constants/Pi/08/ShowAll.html", "text" -> "More information"}, {}]}]}]}], Typeset`pod5$$ = XMLElement[ "pod", {"title" -> "Integral representations", "scanner" -> "Data", "id" -> "IntegralRepresentations:MathematicalFunctionIdentityData", "position" -> "500", "error" -> "false", "numsubpods" -> "8"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 2 Integrate[1/(t^2 + 1), {t, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Infinity]"], RowBox[{ FractionBox["1", RowBox[{ SuperscriptBox["t", "2"], "+", "1"}]], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 4 Integrate[Sqrt[1 - t^2], {t, 0, 1}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"4", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "1"], RowBox[{ SqrtBox[ RowBox[{"1", "-", SuperscriptBox["t", "2"]}]], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 2 Integrate[Sin[t]/t, {t, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Infinity]"], RowBox[{ FractionBox[ RowBox[{"sin", "(", "t", ")"}], "t"], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 2 Integrate[Sin[t]^2/t^2, {t, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Infinity]"], RowBox[{ FractionBox[ RowBox[{ SuperscriptBox["sin", "2"], "(", "t", ")"}], SuperscriptBox["t", "2"]], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 3 Integrate[Sin[t]^4/t^4, {t, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"3", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Infinity]"], RowBox[{ FractionBox[ RowBox[{ SuperscriptBox["sin", "4"], "(", "t", ")"}], SuperscriptBox["t", "4"]], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 2 Integrate[1/Sqrt[1 - t^2], {t, 0, 1}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "1"], RowBox[{ FractionBox["1", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["t", "2"]}]]], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == (8/3) Integrate[Sin[t]^3/t^3, {t, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ FractionBox["8", "3"], RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Infinity]"], RowBox[{ FractionBox[ RowBox[{ SuperscriptBox["sin", "3"], "(", "t", ")"}], SuperscriptBox["t", "3"]], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == (40/11) Integrate[Sin[t]^6/t^6, {t, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ FractionBox["40", "11"], RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Infinity]"], RowBox[{ FractionBox[ RowBox[{ SuperscriptBox["sin", "6"], "(", "t", ")"}], SuperscriptBox["t", "6"]], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["infos", {"count" -> "1"}, { XMLElement["info", {}, { XMLElement[ "link", { "url" -> "http://functions.wolfram.com/Constants/Pi/07/ShowAll.html", "text" -> "More information"}, {}]}]}]}], Typeset`pod6$$ = XMLElement[ "pod", {"title" -> "Continued fraction representations", "scanner" -> "Data", "id" -> "ContinuedFractionRepresentations:MathematicalFunctionIdentityData", "position" -> "600", "error" -> "false", "numsubpods" -> "2"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"3", "+", RowBox[{ UnderoverscriptBox[ StyleBox["\[CapitalKappa]", FontSize -> 4 + Inherited], RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"2", " ", "k"}], "-", "1"}], ")"}], "2"], "6"]}]}], "\[LongEqual]", RowBox[{"3", "+", StyleBox[ FractionBox["1", RowBox[{"6", "+", FractionBox["9", RowBox[{"6", "+", FractionBox["25", RowBox[{"6", "+", FractionBox["49", RowBox[{"6", "+", "\"\[Ellipsis]\""}]]}]]}]]}]], ScriptSizeMultipliers -> 1, StripOnInput -> False]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", FractionBox["4", RowBox[{"1", "+", RowBox[{ UnderoverscriptBox[ StyleBox["\[CapitalKappa]", FontSize -> 4 + Inherited], RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"2", " ", "k"}], "-", "1"}], ")"}], "2"], "2"]}]}]], "\[LongEqual]", FractionBox["4", RowBox[{"1", "+", StyleBox[ FractionBox["1", RowBox[{"2", "+", FractionBox["9", RowBox[{"2", "+", FractionBox["25", RowBox[{"2", "+", FractionBox["49", RowBox[{"2", "+", "\"\[Ellipsis]\""}]]}]]}]]}]], ScriptSizeMultipliers -> 1, StripOnInput -> False]}]]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,computabledata,formatteddata,formuladata"}]}], XMLElement["infos", {"count" -> "2"}, { XMLElement[ "info", { "text" -> "\[CapitalKappa]_(k=k_1)^(k_2)a_k/b_k is a continued fraction"}, { XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/ContinuedFraction.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{ UnderoverscriptBox[ StyleBox["\[CapitalKappa]", FontSize -> 2 + Inherited], RowBox[{"k", "=", SubscriptBox["k", "1"]}], SubscriptBox["k", "2"]], RowBox[{ SubscriptBox["a", "k"], "/", SubscriptBox["b", "k"]}]}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is a continued fraction\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {}, { XMLElement[ "link", { "url" -> "http://functions.wolfram.com/Constants/Pi/10/ShowAll.html", "text" -> "More information"}, {}]}]}]}], Typeset`pod7$$ = XMLElement[ "pod", {"title" -> "Limit representations", "scanner" -> "Data", "id" -> "LimitRepresentations:MathematicalFunctionIdentityData", "position" -> "700", "error" -> "false", "numsubpods" -> "8"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Limit[2^(4 n)/(n Binomial[2 n, n]^2), n -> Infinity]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", FractionBox[ SuperscriptBox["2", RowBox[{"4", " ", "n"}]], RowBox[{"n", " ", SuperscriptBox[ TemplateBox[{ RowBox[{"2", " ", "n"}], "n"}, "Binomial"], "2"]}]]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Limit[A[n], n -> Infinity] /; A[0] == 2 && B[0] == Sqrt[2] && \ A[n + 1] == A[n] B[n] && B[n + 1] == Sqrt[(2 B[n])/(1 + B[n])] && Element[n, \ Integers] && n > 0"}], XMLElement["cell", {"compressed" -> True, "string" -> False}, { Cell[ BoxData[ FormBox[ FrameBox[ TemplateBox[{ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", RowBox[{"A", "(", "n", ")"}]}]}], HoldForm], StyleBox[ TemplateBox[{ InterpretationBox[ Cell[ BoxData[ FormBox[ StyleBox[ "\" for \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], TraditionalForm]], "Text", "TR"], Text[ Notebook$$17$807270`GrayText[ " for ", BaseStyle -> "Unit"]]], TagBox[ TemplateBox[{ RowBox[{"(", TemplateBox[{ RowBox[{ RowBox[{"A", "(", "0", ")"}], "\[LongEqual]", "2"}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", "0", ")"}], "\[LongEqual]", SqrtBox["2"]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"A", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", RowBox[{ RowBox[{"A", "(", "n", ")"}], " ", RowBox[{"B", "(", "n", ")"}]}]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", SqrtBox[ FractionBox[ RowBox[{"2", " ", RowBox[{"B", "(", "n", ")"}]}], RowBox[{"1", "+", RowBox[{"B", "(", "n", ")"}]}]]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", "\[Element]", TagBox["\[DoubleStruckCapitalZ]", Function[{}, Integers]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", ">", "0"}]}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3, "\[InvisibleSpace]", #4, "\[InvisibleSpace]", #5, "\[InvisibleSpace]", #6, "\[InvisibleSpace]", #7, "\[InvisibleSpace]", #8, "\[InvisibleSpace]", #9, "\[InvisibleSpace]", #10, "\[InvisibleSpace]", #11}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5, ",", #6, ",", #7, ",", #8, ",", #9, ",", #10, ",", #11}], "}"}], "]"}]& )], ")"}]}, "Row", DisplayFunction -> (#& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", #, "}"}], "]"}]& )], HoldForm]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], GrayLevel[0.6], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Limit[(4/n^2) Sum[Sqrt[n^2 - k^2], {k, 0, n}], n -> \ Infinity]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "n"], SqrtBox[ RowBox[{ SuperscriptBox["n", "2"], "-", SuperscriptBox["k", "2"]}]]}], ")"}], " ", "4"}], SuperscriptBox["n", "2"]]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Limit[2^(n + 2)/A[n], n -> Infinity] /; A[0] == 1 && B[0] == \ Sqrt[2] && A[n + 1] == A[n] + B[n] && B[n + 1] == Sqrt[1 + (A[n] + B[n])^2] \ && Element[n, Integers] && n > 0"}], XMLElement["cell", {"compressed" -> True, "string" -> False}, { Cell[ BoxData[ FormBox[ FrameBox[ TemplateBox[{ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", FractionBox[ SuperscriptBox["2", RowBox[{"n", "+", "2"}]], RowBox[{"A", "(", "n", ")"}]]}]}], HoldForm], StyleBox[ TemplateBox[{ InterpretationBox[ Cell[ BoxData[ FormBox[ StyleBox[ "\" for \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], TraditionalForm]], "Text", "TR"], Text[ Notebook$$17$807270`GrayText[ " for ", BaseStyle -> "Unit"]]], TagBox[ TemplateBox[{ RowBox[{"(", TemplateBox[{ RowBox[{ RowBox[{"A", "(", "0", ")"}], "\[LongEqual]", "1"}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", "0", ")"}], "\[LongEqual]", SqrtBox["2"]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"A", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", RowBox[{ RowBox[{"A", "(", "n", ")"}], "+", RowBox[{"B", "(", "n", ")"}]}]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", SqrtBox[ RowBox[{"1", "+", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"A", "(", "n", ")"}], "+", RowBox[{"B", "(", "n", ")"}]}], ")"}], "2"]}]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", "\[Element]", TagBox["\[DoubleStruckCapitalZ]", Function[{}, Integers]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", ">", "0"}]}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3, "\[InvisibleSpace]", #4, "\[InvisibleSpace]", #5, "\[InvisibleSpace]", #6, "\[InvisibleSpace]", #7, "\[InvisibleSpace]", #8, "\[InvisibleSpace]", #9, "\[InvisibleSpace]", #10, "\[InvisibleSpace]", #11}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5, ",", #6, ",", #7, ",", #8, ",", #9, ",", #10, ",", #11}], "}"}], "]"}]& )], ")"}]}, "Row", DisplayFunction -> (#& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", #, "}"}], "]"}]& )], HoldForm]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], GrayLevel[0.6], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == 16 Limit[(n + 1) Product[k^2/(2 k + 1)^2, {k, 1, n}], n -> \ Infinity]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"16", " ", RowBox[{"(", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", RowBox[{ RowBox[{"(", RowBox[{"n", "+", "1"}], ")"}], " ", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "1"}], "n"], FractionBox[ SuperscriptBox["k", "2"], SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"2", " ", "k"}], "+", "1"}], ")"}], "2"]]}]}]}], ")"}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Limit[A[n], n -> Infinity] /; A[0] == 4 && B[0] == 1/Sqrt[2] \ && A[n] == (2 A[n - 1] B[n - 1])/(1 + B[n - 1]) && B[n] == Sqrt[(1 + B[n - \ 1])/2] && Element[n, Integers] && n > 0"}], XMLElement["cell", {"compressed" -> True, "string" -> False}, { Cell[ BoxData[ FormBox[ FrameBox[ TemplateBox[{ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", RowBox[{"A", "(", "n", ")"}]}]}], HoldForm], StyleBox[ TemplateBox[{ InterpretationBox[ Cell[ BoxData[ FormBox[ StyleBox[ "\" for \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], TraditionalForm]], "Text", "TR"], Text[ Notebook$$17$807270`GrayText[ " for ", BaseStyle -> "Unit"]]], TagBox[ TemplateBox[{ RowBox[{"(", TemplateBox[{ RowBox[{ RowBox[{"A", "(", "0", ")"}], "\[LongEqual]", "4"}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", "0", ")"}], "\[LongEqual]", FractionBox["1", SqrtBox["2"]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"A", "(", "n", ")"}], "\[LongEqual]", FractionBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{"A", "(", RowBox[{"n", "-", "1"}], ")"}], " ", RowBox[{"B", "(", RowBox[{"n", "-", "1"}], ")"}]}], ")"}]}], RowBox[{"1", "+", RowBox[{"B", "(", RowBox[{"n", "-", "1"}], ")"}]}]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", "n", ")"}], "\[LongEqual]", SqrtBox[ RowBox[{ FractionBox["1", "2"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"B", "(", RowBox[{"n", "-", "1"}], ")"}]}], ")"}]}]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", "\[Element]", TagBox["\[DoubleStruckCapitalZ]", Function[{}, Integers]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", ">", "0"}]}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3, "\[InvisibleSpace]", #4, "\[InvisibleSpace]", #5, "\[InvisibleSpace]", #6, "\[InvisibleSpace]", #7, "\[InvisibleSpace]", #8, "\[InvisibleSpace]", #9, "\[InvisibleSpace]", #10, "\[InvisibleSpace]", #11}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5, ",", #6, ",", #7, ",", #8, ",", #9, ",", #10, ",", #11}], "}"}], "]"}]& )], ")"}]}, "Row", DisplayFunction -> (#& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", #, "}"}], "]"}]& )], HoldForm]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], GrayLevel[0.6], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Limit[2^(n + 2)/A[n], n -> Infinity] /; A[0] == 1 && B[0] == \ Sqrt[2] && A[n + 1] == A[n] + B[n] && B[n + 1] == Sqrt[(2 B[n])/(B[n] - \ A[n])] && Element[n, Integers] && n > 0"}], XMLElement["cell", {"compressed" -> True, "string" -> False}, { Cell[ BoxData[ FormBox[ FrameBox[ TemplateBox[{ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", FractionBox[ SuperscriptBox["2", RowBox[{"n", "+", "2"}]], RowBox[{"A", "(", "n", ")"}]]}]}], HoldForm], StyleBox[ TemplateBox[{ InterpretationBox[ Cell[ BoxData[ FormBox[ StyleBox[ "\" for \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], TraditionalForm]], "Text", "TR"], Text[ Notebook$$17$807270`GrayText[ " for ", BaseStyle -> "Unit"]]], TagBox[ TemplateBox[{ RowBox[{"(", TemplateBox[{ RowBox[{ RowBox[{"A", "(", "0", ")"}], "\[LongEqual]", "1"}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", "0", ")"}], "\[LongEqual]", SqrtBox["2"]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"A", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", RowBox[{ RowBox[{"A", "(", "n", ")"}], "+", RowBox[{"B", "(", "n", ")"}]}]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", SqrtBox[ FractionBox[ RowBox[{"2", " ", RowBox[{"B", "(", "n", ")"}]}], RowBox[{ RowBox[{"B", "(", "n", ")"}], "-", RowBox[{"A", "(", "n", ")"}]}]]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", "\[Element]", TagBox["\[DoubleStruckCapitalZ]", Function[{}, Integers]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", ">", "0"}]}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3, "\[InvisibleSpace]", #4, "\[InvisibleSpace]", #5, "\[InvisibleSpace]", #6, "\[InvisibleSpace]", #7, "\[InvisibleSpace]", #8, "\[InvisibleSpace]", #9, "\[InvisibleSpace]", #10, "\[InvisibleSpace]", #11}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5, ",", #6, ",", #7, ",", #8, ",", #9, ",", #10, ",", #11}], "}"}], "]"}]& )], ")"}]}, "Row", DisplayFunction -> (#& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", #, "}"}], "]"}]& )], HoldForm]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], GrayLevel[0.6], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Limit[2^(n + 2) A[n], n -> Infinity] /; A[0] == 1 && B[0] == \ Sqrt[2] && A[n + 1] == A[n]/(1 + B[n]) && B[n + 1] == Sqrt[1 + (A[n]/(1 + \ B[n]))^2] && Element[n, Integers] && n > 0"}], XMLElement["cell", {"compressed" -> True, "string" -> False}, { Cell[ BoxData[ FormBox[ FrameBox[ TemplateBox[{ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", RowBox[{ SuperscriptBox["2", RowBox[{"n", "+", "2"}]], " ", RowBox[{"A", "(", "n", ")"}]}]}]}], HoldForm], StyleBox[ TemplateBox[{ InterpretationBox[ Cell[ BoxData[ FormBox[ StyleBox[ "\" for \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], TraditionalForm]], "Text", "TR"], Text[ Notebook$$17$807270`GrayText[ " for ", BaseStyle -> "Unit"]]], TagBox[ TemplateBox[{ RowBox[{"(", TemplateBox[{ RowBox[{ RowBox[{"A", "(", "0", ")"}], "\[LongEqual]", "1"}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", "0", ")"}], "\[LongEqual]", SqrtBox["2"]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"A", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", FractionBox[ RowBox[{"A", "(", "n", ")"}], RowBox[{"1", "+", RowBox[{"B", "(", "n", ")"}]}]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", SqrtBox[ RowBox[{"1", "+", SuperscriptBox[ RowBox[{"(", FractionBox[ RowBox[{"A", "(", "n", ")"}], RowBox[{"1", "+", RowBox[{"B", "(", "n", ")"}]}]], ")"}], "2"]}]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", "\[Element]", TagBox["\[DoubleStruckCapitalZ]", Function[{}, Integers]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", ">", "0"}]}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3, "\[InvisibleSpace]", #4, "\[InvisibleSpace]", #5, "\[InvisibleSpace]", #6, "\[InvisibleSpace]", #7, "\[InvisibleSpace]", #8, "\[InvisibleSpace]", #9, "\[InvisibleSpace]", #10, "\[InvisibleSpace]", #11}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5, ",", #6, ",", #7, ",", #8, ",", #9, ",", #10, ",", #11}], "}"}], "]"}]& )], ")"}]}, "Row", DisplayFunction -> (#& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", #, "}"}], "]"}]& )], HoldForm]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], GrayLevel[0.6], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["infos", {"count" -> "2"}, { XMLElement[ "info", {"text" -> "\[DoubleStruckCapitalZ] is the set of integers"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Integers.html", "text" -> "Documentation", "title" -> "Documentation"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/Z.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TagBox["\[DoubleStruckCapitalZ]", Function[{}, Integers]], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the set of integers\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {}, { XMLElement[ "link", { "url" -> "http://functions.wolfram.com/Constants/Pi/09/ShowAll.html", "text" -> "More information"}, {}]}]}]}], Typeset`aux1$$ = { True, False, {False}, True}, Typeset`aux2$$ = { True, False, {False, False, False, False, False, False, False, False}, True}, Typeset`aux3$$ = { True, False, {False, False, False, False, False, False, False, False}, True}, Typeset`aux4$$ = { True, False, {False, False, False, False, False, False, False}, True}, Typeset`aux5$$ = { True, False, {False, False, False, False, False, False, False, False}, True}, Typeset`aux6$$ = {True, False, {False, False}, True}, Typeset`aux7$$ = { True, False, {False, False, False, False, False, False, False, False}, True}, Typeset`asyncpods$$ = {}, Typeset`nonpods$$ = {}, Typeset`initdone$$ = True, Typeset`queryinfo$$ = { "success" -> "true", "error" -> "false", "numpods" -> "7", "datatypes" -> "MathematicalFunctionIdentity", "timedout" -> "", "timing" -> "3.897", "parsetiming" -> "0.125", "parsetimedout" -> "false", "recalculate" -> "", "id" -> "MSP97319hee40i0ccia74i000057f3i3bfe6efa9g1&s=50", "related" -> "http://www4d.wolframalpha.com/api/v2/relatedQueries.jsp?id=\ MSP97419hee40i0ccia74i000018bf3ec1g356i0d1&s=50", "version" -> "2.1"}, Typeset`sessioninfo$$ = { "TimeZone" -> -5., "Date" -> {2011, 10, 16, 22, 9, 5.679447`7.506881038905027}, "Line" -> 1, "SessionID" -> 23119735929452804424}, Typeset`showpods$$ = {1, 2, 3, 4, 5, 6, 7}, Typeset`failedpods$$ = {}, Typeset`chosen$$ = {}, Typeset`open$$ = False, Typeset`newq$$ = "representations of \[Pi]"}, DynamicBox[ToBoxes[ AlphaIntegration`FormatAlphaResults[ Dynamic[{ 1, {Typeset`pod1$$, Typeset`pod2$$, Typeset`pod3$$, Typeset`pod4$$, Typeset`pod5$$, Typeset`pod6$$, Typeset`pod7$$}, { Typeset`aux1$$, Typeset`aux2$$, Typeset`aux3$$, Typeset`aux4$$, Typeset`aux5$$, Typeset`aux6$$, Typeset`aux7$$}, Typeset`chosen$$, Typeset`open$$, Typeset`elements$$, Typeset`q$$, Typeset`opts$$, Typeset`nonpods$$, Typeset`queryinfo$$, Typeset`sessioninfo$$, Typeset`showpods$$, Typeset`failedpods$$, Typeset`newq$$}]], StandardForm], ImageSizeCache->{1013., {2652., 2658.}}, TrackedSymbols:>{Typeset`showpods$$, Typeset`failedpods$$}], DynamicModuleValues:>{}, Initialization:>If[ Not[Typeset`initdone$$], WolframAlphaClient`Private`doAsyncUpdates[ Hold[{ Typeset`pod1$$, Typeset`pod2$$, Typeset`pod3$$, Typeset`pod4$$, Typeset`pod5$$, Typeset`pod6$$, Typeset`pod7$$}], Typeset`asyncpods$$, Dynamic[Typeset`failedpods$$]]; Typeset`asyncpods$$ = {}; Typeset`initdone$$ = True], SynchronousInitialization->False], BaseStyle->{Deployed -> True}, DeleteWithContents->True, Editable->False, SelectWithContents->True]], "Print", CellMargins->{{80, 10}, {Inherited, Inherited}}, FontSize->10] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[TextData[{ "3) through ", StyleBox["WolframAlpha[]", "Input", FontWeight->"Plain"], StyleBox[" (", FontWeight->"Plain"], StyleBox["very", FontWeight->"Bold"], StyleBox[" useful for programmatic use)", FontWeight->"Plain"] }], "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", "\"\\"", "]"}]], "Input"], Cell[BoxData[ NamespaceBox["WolframAlphaQueryResults", DynamicModuleBox[{Typeset`q$$ = "representations of \[Pi]", Typeset`opts$$ = { AppearanceElements -> { "Warnings", "Assumptions", "Brand", "Pods", "PodMenus", "Unsuccessful", "Sources"}}, Typeset`elements$$ = { "Warnings", "Assumptions", "Brand", "Pods", "PodMenus", "Unsuccessful", "Sources"}, Typeset`pod1$$ = XMLElement[ "pod", {"title" -> "Input interpretation", "scanner" -> "Identity", "id" -> "Input", "position" -> "100", "error" -> "false", "numsubpods" -> "1"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ TagBox[ FormBox[ TagBox[ GridBox[{{ StyleBox[ TagBox[ GridBox[{{ StyleBox[ TagBox[ TagBox[ TagBox["\[Pi]", HoldForm], $CellContext`TagBoxWrapper[ "Entity" -> \ {$CellContext`MathematicalFunctionIdentityData, HoldComplete[Pi]}]], Identity], { LineIndent -> 0, LineSpacing -> {0.9, 0, 1.5}}], "\"representations\""}}, GridBoxBackground -> {"Columns" -> { GrayLevel[0.949], None}, "Rows" -> {{None}}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, ColumnsEqual -> False, RowsEqual -> False, GridBoxDividers -> {"Columns" -> { GrayLevel[0.84], GrayLevel[0.84], GrayLevel[0.84]}, "Rows" -> {{ GrayLevel[0.84]}}, "RowsIndexed" -> { 1 -> GrayLevel[0.84], -1 -> GrayLevel[0.84]}}, GridBoxSpacings -> { "Columns" -> {1, 1, 1}, "Rows" -> {{0.3}}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AllowScriptLevelChange -> False], $CellContext`TagBoxWrapper["Separator" -> " | "]], LineSpacing -> {1, 0, 1.5}, LineIndent -> 0]}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, ColumnsEqual -> False, RowsEqual -> False, GridBoxSpacings -> {"Columns" -> {{ AbsoluteThickness[-1]}}, "Rows" -> {{0}}}, AllowScriptLevelChange -> False], $CellContext`TagBoxWrapper["Separator" -> " | "]], TraditionalForm], PolynomialForm[#, TraditionalOrder -> False]& ], TraditionalForm]], "Output"]}], XMLElement["dataformats", {}, {"plaintext"}]}]}], Typeset`pod2$$ = XMLElement[ "pod", {"title" -> "Alternative representations", "scanner" -> "Data", "id" -> "AlternativeRepresentations:MathematicalFunctionIdentityData", "position" -> "200", "error" -> "false", "numsubpods" -> "8"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == 180 Degree"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", TagBox[ RowBox[{"180", " ", "\[Degree]"}], Identity]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == (-I) Log[-1]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ RowBox[{"-", "\[ImaginaryI]"}], " ", RowBox[{"log", "(", RowBox[{"-", "1"}], ")"}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == ArcCos[-1]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", TagBox[ RowBox[{ SuperscriptBox["cos", RowBox[{"-", "1"}]], "(", RowBox[{"-", "1"}], ")"}], Identity]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == 2 EllipticE[0]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", TagBox[ RowBox[{"2", " ", TemplateBox[{"0"}, "EllipticE"]}], Identity]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == 2 EllipticK[0]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", TagBox[ RowBox[{"2", " ", TemplateBox[{"0"}, "EllipticK"]}], Identity]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == 2 I Log[(1 - I)/(1 + I)]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", " ", "\[ImaginaryI]", " ", RowBox[{"log", "(", FractionBox[ RowBox[{"1", "-", "\[ImaginaryI]"}], RowBox[{"1", "+", "\[ImaginaryI]"}]], ")"}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == Sqrt[6 Zeta[2]]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", TagBox[ SqrtBox[ RowBox[{"6", " ", TemplateBox[{"2"}, "Zeta"]}]], Identity]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"Pi == Sqrt[6 PolyLog[2, 1]]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", TagBox[ SqrtBox[ RowBox[{"6", " ", TemplateBox[{"2", "1"}, "PolyLog"]}]], Identity]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["infos", {"count" -> "8"}, { XMLElement["info", {"text" -> "log(x) is the natural logarithm"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Log.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/ElementaryFunctions/Log", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/NaturalLogarithm.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{"log", "(", "x", ")"}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the natural logarithm\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {"text" -> "i is the imaginary unit"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/I.html", "text" -> "Documentation", "title" -> "Documentation"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/i.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ "\[ImaginaryI]", FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the imaginary unit\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", {"text" -> "cos^(-1)(x) is the inverse cosine function"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/ArcCos.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/ElementaryFunctions/ArcCos", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/InverseCosine.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{ SuperscriptBox["cos", RowBox[{"-", "1"}]], "(", "x", ")"}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the inverse cosine function\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", { "text" -> "E(m) is the complete elliptic integral of the second kind"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/EllipticE.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/EllipticIntegrals/EllipticE", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/\ CompleteEllipticIntegraloftheSecondKind.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TemplateBox[{"m"}, "EllipticE"], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the complete elliptic integral of the second kind\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", { "text" -> "K(m) is the complete elliptic integral of the first kind"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/EllipticK.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/EllipticIntegrals/EllipticK", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/\ CompleteEllipticIntegraloftheFirstKind.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TemplateBox[{"m"}, "EllipticK"], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the complete elliptic integral of the first kind\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", {"text" -> "\[Zeta](s) is the Riemann zeta function"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Zeta.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/ZetaFunctionsandPolylogarithms/Zeta", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/RiemannZetaFunction.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TemplateBox[{"s"}, "Zeta"], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the Riemann zeta function\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", {"text" -> "Li_n(x) is the polylogarithm function"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/PolyLog.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/ZetaFunctionsandPolylogarithms/\ PolyLog", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/Polylogarithm.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TemplateBox[{"n", "x"}, "PolyLog"], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the polylogarithm function\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {}, { XMLElement[ "link", { "url" -> "http://functions.wolfram.com/Constants/Pi/27/ShowAll.html", "text" -> "More information"}, {}]}]}]}], Typeset`pod3$$ = XMLElement[ "pod", {"title" -> "Series representations", "scanner" -> "Data", "id" -> "SeriesRepresentations:MathematicalFunctionIdentityData", "position" -> "300", "error" -> "false", "numsubpods" -> "8"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 4 Sum[(-1)^k/(2 k + 1), {k, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"4", " ", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "\[Infinity]"], FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], "k"], RowBox[{ RowBox[{"2", " ", "k"}], "+", "1"}]]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == -2 + 2 Sum[2^k/Binomial[2 k, k], {k, 1, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ RowBox[{"-", "2"}], "+", RowBox[{"2", " ", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ SuperscriptBox["2", "k"], TemplateBox[{ RowBox[{"2", " ", "k"}], "k"}, "Binomial"]]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Sum[(50 k - 6)/(2^k Binomial[3 k, k]), {k, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "\[Infinity]"], FractionBox[ RowBox[{ RowBox[{"50", " ", "k"}], "-", "6"}], RowBox[{ SuperscriptBox["2", "k"], " ", TemplateBox[{ RowBox[{"3", " ", "k"}], "k"}, "Binomial"]}]]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == x + 2 Sum[Sin[k x]/k, {k, 1, Infinity}] /; Element[x, Reals] \ && x > 0"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TemplateBox[{ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"x", "+", RowBox[{"2", " ", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{"sin", "(", RowBox[{"k", " ", "x"}], ")"}], "k"]}]}]}]}], HoldForm], StyleBox[ TemplateBox[{ InterpretationBox[ Cell[ BoxData[ FormBox[ StyleBox[ "\" for \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], TraditionalForm]], "Text", "TR"], Text[ $CellContext`GrayText[" for ", BaseStyle -> "Unit"]]], TagBox[ TemplateBox[{ RowBox[{"(", TemplateBox[{ RowBox[{"x", "\[Element]", TagBox["\[DoubleStruckCapitalR]", Function[{}, Reals]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"x", ">", "0"}]}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3}], "}"}], "]"}]& )], ")"}]}, "Row", DisplayFunction -> (#& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", #, "}"}], "]"}]& )], HoldForm]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], GrayLevel[0.6], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == 2 Sqrt[3] Sum[((-1)^k/(2 k + 1)) (1/3^k), {k, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", " ", SqrtBox["3"], " ", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "\[Infinity]"], FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], "k"], RowBox[{ SuperscriptBox["3", "k"], " ", RowBox[{"(", RowBox[{ RowBox[{"2", " ", "k"}], "+", "1"}], ")"}]}]]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == 8 Sum[1/((4 k - 2) (4 k - 1)), {k, 1, Infinity}] + 2 Log[2]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ RowBox[{"8", " ", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox["1", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"4", " ", "k"}], "-", "2"}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"4", " ", "k"}], "-", "1"}], ")"}]}]]}]}], "+", RowBox[{"2", " ", RowBox[{"log", "(", "2", ")"}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Sum[((3^k - 1) Zeta[k + 1])/4^k, {k, 1, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{ RowBox[{"(", RowBox[{ SuperscriptBox["3", "k"], "-", "1"}], ")"}], " ", TemplateBox[{ RowBox[{"k", "+", "1"}]}, "Zeta"]}], SuperscriptBox["4", "k"]]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == -3 Sqrt[3] + (9/2) Sqrt[3] Sum[k/Binomial[2 k, k], {k, 1, \ Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ RowBox[{ RowBox[{"-", "3"}], " ", SqrtBox["3"]}], "+", RowBox[{ FractionBox["1", "2"], " ", RowBox[{"(", RowBox[{ SqrtBox["3"], " ", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox["k", TemplateBox[{ RowBox[{"2", " ", "k"}], "k"}, "Binomial"]]}]}], ")"}], " ", "9"}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["infos", {"count" -> "3"}, { XMLElement["info", {"text" -> "(n m) is the binomial coefficient"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Binomial.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/GammaBetaErf/Binomial", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/BinomialCoefficient.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TemplateBox[{"n", "m"}, "Binomial"], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the binomial coefficient\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", { "text" -> "e_1\[And]e_2\[And]\[Ellipsis] is the logical AND function"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/And.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/AND.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{ SubscriptBox["e", "1"], "\[And]", SubscriptBox["e", "2"], "\[And]", "\[Ellipsis]"}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the logical AND function\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {}, { XMLElement[ "link", { "url" -> "http://functions.wolfram.com/Constants/Pi/06/ShowAll.html", "text" -> "More information"}, {}]}]}]}], Typeset`pod4$$ = XMLElement[ "pod", {"title" -> "Product representations", "scanner" -> "Data", "id" -> "ProductRepresentations:MathematicalFunctionIdentityData", "position" -> "400", "error" -> "false", "numsubpods" -> "7"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == 4 Product[1 - 1/(2 k + 1)^2, {k, 1, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"4", " ", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "1"}], "\[Infinity]"], RowBox[{"(", RowBox[{"1", "-", FractionBox["1", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"2", " ", "k"}], "+", "1"}], ")"}], "2"]]}], ")"}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == 2 Product[(4 k^2)/((2 k - 1) (2 k + 1)), {k, 1, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", " ", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{"4", " ", SuperscriptBox["k", "2"]}], RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"2", " ", "k"}], "-", "1"}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"2", " ", "k"}], "+", "1"}], ")"}]}]]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 2 Product[Sec[Pi/2^k], {k, 2, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", " ", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "2"}], "\[Infinity]"], RowBox[{"sec", "(", FractionBox["\[Pi]", SuperscriptBox["2", "k"]], ")"}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 3 Product[Sec[Pi/(12 2^k)], {k, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"3", " ", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "0"}], "\[Infinity]"], RowBox[{"sec", "(", FractionBox["\[Pi]", RowBox[{"12", " ", SuperscriptBox["2", "k"]}]], ")"}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == 2 E Product[(1 + 2/k)^((-1)^(k + 1) k), {k, 1, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", " ", "\[ExponentialE]", " ", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "1"}], "\[Infinity]"], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", FractionBox["2", "k"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], RowBox[{"k", "+", "1"}]], " ", "k"}]]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == (6 E)/Product[(1 + 2/k)^((-1)^k k), {k, 2, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", FractionBox[ RowBox[{"6", " ", "\[ExponentialE]"}], RowBox[{ UnderoverscriptBox[ StyleBox["\[Product]", ScriptLevel -> 0], RowBox[{"k", "=", "2"}], "\[Infinity]"], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", FractionBox["2", "k"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], "k"], " ", "k"}]]}]]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == (4/Sqrt[2]) Product[(4 Floor[(k + 1)/2])/(2 k + 1), {k, 1, \ Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{"4", " ", TemplateBox[{ FractionBox[ RowBox[{"k", "+", "1"}], "2"]}, "Floor"]}], RowBox[{ RowBox[{"2", " ", "k"}], "+", "1"}]]}], ")"}], " ", "4"}], SqrtBox["2"]]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["infos", {"count" -> "3"}, { XMLElement["info", {"text" -> "sec(x) is the secant function"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Sec.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/ElementaryFunctions/Sec", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/Secant.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{"sec", "(", "x", ")"}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the secant function\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", { "text" -> "\[LeftFloor]x\[RightFloor] is the floor function"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Floor.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/IntegerFunctions/Floor", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/FloorFunction.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TemplateBox[{"x"}, "Floor"], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the floor function\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {}, { XMLElement[ "link", { "url" -> "http://functions.wolfram.com/Constants/Pi/08/ShowAll.html", "text" -> "More information"}, {}]}]}]}], Typeset`pod5$$ = XMLElement[ "pod", {"title" -> "Integral representations", "scanner" -> "Data", "id" -> "IntegralRepresentations:MathematicalFunctionIdentityData", "position" -> "500", "error" -> "false", "numsubpods" -> "8"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 2 Integrate[1/(t^2 + 1), {t, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Infinity]"], RowBox[{ FractionBox["1", RowBox[{ SuperscriptBox["t", "2"], "+", "1"}]], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 4 Integrate[Sqrt[1 - t^2], {t, 0, 1}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"4", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "1"], RowBox[{ SqrtBox[ RowBox[{"1", "-", SuperscriptBox["t", "2"]}]], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 2 Integrate[Sin[t]/t, {t, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Infinity]"], RowBox[{ FractionBox[ RowBox[{"sin", "(", "t", ")"}], "t"], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 2 Integrate[Sin[t]^2/t^2, {t, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Infinity]"], RowBox[{ FractionBox[ RowBox[{ SuperscriptBox["sin", "2"], "(", "t", ")"}], SuperscriptBox["t", "2"]], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 3 Integrate[Sin[t]^4/t^4, {t, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"3", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Infinity]"], RowBox[{ FractionBox[ RowBox[{ SuperscriptBox["sin", "4"], "(", "t", ")"}], SuperscriptBox["t", "4"]], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, {"Pi == 2 Integrate[1/Sqrt[1 - t^2], {t, 0, 1}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"2", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "1"], RowBox[{ FractionBox["1", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["t", "2"]}]]], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == (8/3) Integrate[Sin[t]^3/t^3, {t, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ FractionBox["8", "3"], RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Infinity]"], RowBox[{ FractionBox[ RowBox[{ SuperscriptBox["sin", "3"], "(", "t", ")"}], SuperscriptBox["t", "3"]], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == (40/11) Integrate[Sin[t]^6/t^6, {t, 0, Infinity}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ FractionBox["40", "11"], RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Infinity]"], RowBox[{ FractionBox[ RowBox[{ SuperscriptBox["sin", "6"], "(", "t", ")"}], SuperscriptBox["t", "6"]], RowBox[{"\[DifferentialD]", "t"}]}]}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["infos", {"count" -> "1"}, { XMLElement["info", {}, { XMLElement[ "link", { "url" -> "http://functions.wolfram.com/Constants/Pi/07/ShowAll.html", "text" -> "More information"}, {}]}]}]}], Typeset`pod6$$ = XMLElement[ "pod", {"title" -> "Continued fraction representations", "scanner" -> "Data", "id" -> "ContinuedFractionRepresentations:MathematicalFunctionIdentityData", "position" -> "600", "error" -> "false", "numsubpods" -> "2"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"3", "+", RowBox[{ UnderoverscriptBox[ StyleBox["\[CapitalKappa]", FontSize -> 4 + Inherited], RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"2", " ", "k"}], "-", "1"}], ")"}], "2"], "6"]}]}], "\[LongEqual]", RowBox[{"3", "+", StyleBox[ FractionBox["1", RowBox[{"6", "+", FractionBox["9", RowBox[{"6", "+", FractionBox["25", RowBox[{"6", "+", FractionBox["49", RowBox[{"6", "+", "\"\[Ellipsis]\""}]]}]]}]]}]], ScriptSizeMultipliers -> 1, StripOnInput -> False]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", FractionBox["4", RowBox[{"1", "+", RowBox[{ UnderoverscriptBox[ StyleBox["\[CapitalKappa]", FontSize -> 4 + Inherited], RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"2", " ", "k"}], "-", "1"}], ")"}], "2"], "2"]}]}]], "\[LongEqual]", FractionBox["4", RowBox[{"1", "+", StyleBox[ FractionBox["1", RowBox[{"2", "+", FractionBox["9", RowBox[{"2", "+", FractionBox["25", RowBox[{"2", "+", FractionBox["49", RowBox[{"2", "+", "\"\[Ellipsis]\""}]]}]]}]]}]], ScriptSizeMultipliers -> 1, StripOnInput -> False]}]]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,computabledata,formatteddata,formuladata"}]}], XMLElement["infos", {"count" -> "2"}, { XMLElement[ "info", { "text" -> "\[CapitalKappa]_(k=k_1)^(k_2)a_k/b_k is a continued fraction"}, { XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/ContinuedFraction.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{ UnderoverscriptBox[ StyleBox["\[CapitalKappa]", FontSize -> 2 + Inherited], RowBox[{"k", "=", SubscriptBox["k", "1"]}], SubscriptBox["k", "2"]], RowBox[{ SubscriptBox["a", "k"], "/", SubscriptBox["b", "k"]}]}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is a continued fraction\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {}, { XMLElement[ "link", { "url" -> "http://functions.wolfram.com/Constants/Pi/10/ShowAll.html", "text" -> "More information"}, {}]}]}]}], Typeset`pod7$$ = XMLElement[ "pod", {"title" -> "Limit representations", "scanner" -> "Data", "id" -> "LimitRepresentations:MathematicalFunctionIdentityData", "position" -> "700", "error" -> "false", "numsubpods" -> "8"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Limit[2^(4 n)/(n Binomial[2 n, n]^2), n -> Infinity]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", FractionBox[ SuperscriptBox["2", RowBox[{"4", " ", "n"}]], RowBox[{"n", " ", SuperscriptBox[ TemplateBox[{ RowBox[{"2", " ", "n"}], "n"}, "Binomial"], "2"]}]]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Limit[A[n], n -> Infinity] /; A[0] == 2 && B[0] == Sqrt[2] && \ A[n + 1] == A[n] B[n] && B[n + 1] == Sqrt[(2 B[n])/(1 + B[n])] && Element[n, \ Integers] && n > 0"}], XMLElement["cell", {"compressed" -> True, "string" -> False}, { Cell[ BoxData[ FormBox[ FrameBox[ TemplateBox[{ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", RowBox[{"A", "(", "n", ")"}]}]}], HoldForm], StyleBox[ TemplateBox[{ InterpretationBox[ Cell[ BoxData[ FormBox[ StyleBox[ "\" for \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], TraditionalForm]], "Text", "TR"], Text[ $CellContext`GrayText[" for ", BaseStyle -> "Unit"]]], TagBox[ TemplateBox[{ RowBox[{"(", TemplateBox[{ RowBox[{ RowBox[{"A", "(", "0", ")"}], "\[LongEqual]", "2"}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", "0", ")"}], "\[LongEqual]", SqrtBox["2"]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"A", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", RowBox[{ RowBox[{"A", "(", "n", ")"}], " ", RowBox[{"B", "(", "n", ")"}]}]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", SqrtBox[ FractionBox[ RowBox[{"2", " ", RowBox[{"B", "(", "n", ")"}]}], RowBox[{"1", "+", RowBox[{"B", "(", "n", ")"}]}]]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", "\[Element]", TagBox["\[DoubleStruckCapitalZ]", Function[{}, Integers]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", ">", "0"}]}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3, "\[InvisibleSpace]", #4, "\[InvisibleSpace]", #5, "\[InvisibleSpace]", #6, "\[InvisibleSpace]", #7, "\[InvisibleSpace]", #8, "\[InvisibleSpace]", #9, "\[InvisibleSpace]", #10, "\[InvisibleSpace]", #11}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5, ",", #6, ",", #7, ",", #8, ",", #9, ",", #10, ",", #11}], "}"}], "]"}]& )], ")"}]}, "Row", DisplayFunction -> (#& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", #, "}"}], "]"}]& )], HoldForm]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], GrayLevel[0.6], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Limit[(4/n^2) Sum[Sqrt[n^2 - k^2], {k, 0, n}], n -> \ Infinity]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "n"], SqrtBox[ RowBox[{ SuperscriptBox["n", "2"], "-", SuperscriptBox["k", "2"]}]]}], ")"}], " ", "4"}], SuperscriptBox["n", "2"]]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Limit[2^(n + 2)/A[n], n -> Infinity] /; A[0] == 1 && B[0] == \ Sqrt[2] && A[n + 1] == A[n] + B[n] && B[n + 1] == Sqrt[1 + (A[n] + B[n])^2] \ && Element[n, Integers] && n > 0"}], XMLElement["cell", {"compressed" -> True, "string" -> False}, { Cell[ BoxData[ FormBox[ FrameBox[ TemplateBox[{ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", FractionBox[ SuperscriptBox["2", RowBox[{"n", "+", "2"}]], RowBox[{"A", "(", "n", ")"}]]}]}], HoldForm], StyleBox[ TemplateBox[{ InterpretationBox[ Cell[ BoxData[ FormBox[ StyleBox[ "\" for \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], TraditionalForm]], "Text", "TR"], Text[ $CellContext`GrayText[" for ", BaseStyle -> "Unit"]]], TagBox[ TemplateBox[{ RowBox[{"(", TemplateBox[{ RowBox[{ RowBox[{"A", "(", "0", ")"}], "\[LongEqual]", "1"}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", "0", ")"}], "\[LongEqual]", SqrtBox["2"]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"A", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", RowBox[{ RowBox[{"A", "(", "n", ")"}], "+", RowBox[{"B", "(", "n", ")"}]}]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", SqrtBox[ RowBox[{"1", "+", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"A", "(", "n", ")"}], "+", RowBox[{"B", "(", "n", ")"}]}], ")"}], "2"]}]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", "\[Element]", TagBox["\[DoubleStruckCapitalZ]", Function[{}, Integers]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", ">", "0"}]}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3, "\[InvisibleSpace]", #4, "\[InvisibleSpace]", #5, "\[InvisibleSpace]", #6, "\[InvisibleSpace]", #7, "\[InvisibleSpace]", #8, "\[InvisibleSpace]", #9, "\[InvisibleSpace]", #10, "\[InvisibleSpace]", #11}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5, ",", #6, ",", #7, ",", #8, ",", #9, ",", #10, ",", #11}], "}"}], "]"}]& )], ")"}]}, "Row", DisplayFunction -> (#& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", #, "}"}], "]"}]& )], HoldForm]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], GrayLevel[0.6], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == 16 Limit[(n + 1) Product[k^2/(2 k + 1)^2, {k, 1, n}], n -> \ Infinity]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{"16", " ", RowBox[{"(", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", RowBox[{ RowBox[{"(", RowBox[{"n", "+", "1"}], ")"}], " ", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "1"}], "n"], FractionBox[ SuperscriptBox["k", "2"], SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"2", " ", "k"}], "+", "1"}], ")"}], "2"]]}]}]}], ")"}]}]}], HoldForm], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Limit[A[n], n -> Infinity] /; A[0] == 4 && B[0] == 1/Sqrt[2] \ && A[n] == (2 A[n - 1] B[n - 1])/(1 + B[n - 1]) && B[n] == Sqrt[(1 + B[n - \ 1])/2] && Element[n, Integers] && n > 0"}], XMLElement["cell", {"compressed" -> True, "string" -> False}, { Cell[ BoxData[ FormBox[ FrameBox[ TemplateBox[{ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", RowBox[{"A", "(", "n", ")"}]}]}], HoldForm], StyleBox[ TemplateBox[{ InterpretationBox[ Cell[ BoxData[ FormBox[ StyleBox[ "\" for \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], TraditionalForm]], "Text", "TR"], Text[ $CellContext`GrayText[" for ", BaseStyle -> "Unit"]]], TagBox[ TemplateBox[{ RowBox[{"(", TemplateBox[{ RowBox[{ RowBox[{"A", "(", "0", ")"}], "\[LongEqual]", "4"}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", "0", ")"}], "\[LongEqual]", FractionBox["1", SqrtBox["2"]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"A", "(", "n", ")"}], "\[LongEqual]", FractionBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{"A", "(", RowBox[{"n", "-", "1"}], ")"}], " ", RowBox[{"B", "(", RowBox[{"n", "-", "1"}], ")"}]}], ")"}]}], RowBox[{"1", "+", RowBox[{"B", "(", RowBox[{"n", "-", "1"}], ")"}]}]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", "n", ")"}], "\[LongEqual]", SqrtBox[ RowBox[{ FractionBox["1", "2"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"B", "(", RowBox[{"n", "-", "1"}], ")"}]}], ")"}]}]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", "\[Element]", TagBox["\[DoubleStruckCapitalZ]", Function[{}, Integers]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", ">", "0"}]}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3, "\[InvisibleSpace]", #4, "\[InvisibleSpace]", #5, "\[InvisibleSpace]", #6, "\[InvisibleSpace]", #7, "\[InvisibleSpace]", #8, "\[InvisibleSpace]", #9, "\[InvisibleSpace]", #10, "\[InvisibleSpace]", #11}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5, ",", #6, ",", #7, ",", #8, ",", #9, ",", #10, ",", #11}], "}"}], "]"}]& )], ")"}]}, "Row", DisplayFunction -> (#& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", #, "}"}], "]"}]& )], HoldForm]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], GrayLevel[0.6], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Limit[2^(n + 2)/A[n], n -> Infinity] /; A[0] == 1 && B[0] == \ Sqrt[2] && A[n + 1] == A[n] + B[n] && B[n + 1] == Sqrt[(2 B[n])/(B[n] - \ A[n])] && Element[n, Integers] && n > 0"}], XMLElement["cell", {"compressed" -> True, "string" -> False}, { Cell[ BoxData[ FormBox[ FrameBox[ TemplateBox[{ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", FractionBox[ SuperscriptBox["2", RowBox[{"n", "+", "2"}]], RowBox[{"A", "(", "n", ")"}]]}]}], HoldForm], StyleBox[ TemplateBox[{ InterpretationBox[ Cell[ BoxData[ FormBox[ StyleBox[ "\" for \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], TraditionalForm]], "Text", "TR"], Text[ $CellContext`GrayText[" for ", BaseStyle -> "Unit"]]], TagBox[ TemplateBox[{ RowBox[{"(", TemplateBox[{ RowBox[{ RowBox[{"A", "(", "0", ")"}], "\[LongEqual]", "1"}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", "0", ")"}], "\[LongEqual]", SqrtBox["2"]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"A", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", RowBox[{ RowBox[{"A", "(", "n", ")"}], "+", RowBox[{"B", "(", "n", ")"}]}]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", SqrtBox[ FractionBox[ RowBox[{"2", " ", RowBox[{"B", "(", "n", ")"}]}], RowBox[{ RowBox[{"B", "(", "n", ")"}], "-", RowBox[{"A", "(", "n", ")"}]}]]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", "\[Element]", TagBox["\[DoubleStruckCapitalZ]", Function[{}, Integers]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", ">", "0"}]}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3, "\[InvisibleSpace]", #4, "\[InvisibleSpace]", #5, "\[InvisibleSpace]", #6, "\[InvisibleSpace]", #7, "\[InvisibleSpace]", #8, "\[InvisibleSpace]", #9, "\[InvisibleSpace]", #10, "\[InvisibleSpace]", #11}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5, ",", #6, ",", #7, ",", #8, ",", #9, ",", #10, ",", #11}], "}"}], "]"}]& )], ")"}]}, "Row", DisplayFunction -> (#& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", #, "}"}], "]"}]& )], HoldForm]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], GrayLevel[0.6], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Pi == Limit[2^(n + 2) A[n], n -> Infinity] /; A[0] == 1 && B[0] == \ Sqrt[2] && A[n + 1] == A[n]/(1 + B[n]) && B[n + 1] == Sqrt[1 + (A[n]/(1 + \ B[n]))^2] && Element[n, Integers] && n > 0"}], XMLElement["cell", {"compressed" -> True, "string" -> False}, { Cell[ BoxData[ FormBox[ FrameBox[ TemplateBox[{ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"n", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", RowBox[{ SuperscriptBox["2", RowBox[{"n", "+", "2"}]], " ", RowBox[{"A", "(", "n", ")"}]}]}]}], HoldForm], StyleBox[ TemplateBox[{ InterpretationBox[ Cell[ BoxData[ FormBox[ StyleBox[ "\" for \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], TraditionalForm]], "Text", "TR"], Text[ $CellContext`GrayText[" for ", BaseStyle -> "Unit"]]], TagBox[ TemplateBox[{ RowBox[{"(", TemplateBox[{ RowBox[{ RowBox[{"A", "(", "0", ")"}], "\[LongEqual]", "1"}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", "0", ")"}], "\[LongEqual]", SqrtBox["2"]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"A", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", FractionBox[ RowBox[{"A", "(", "n", ")"}], RowBox[{"1", "+", RowBox[{"B", "(", "n", ")"}]}]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{ RowBox[{"B", "(", RowBox[{"n", "+", "1"}], ")"}], "\[LongEqual]", SqrtBox[ RowBox[{"1", "+", SuperscriptBox[ RowBox[{"(", FractionBox[ RowBox[{"A", "(", "n", ")"}], RowBox[{"1", "+", RowBox[{"B", "(", "n", ")"}]}]], ")"}], "2"]}]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", "\[Element]", TagBox["\[DoubleStruckCapitalZ]", Function[{}, Integers]]}], StyleBox[ "\" and \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False], RowBox[{"n", ">", "0"}]}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3, "\[InvisibleSpace]", #4, "\[InvisibleSpace]", #5, "\[InvisibleSpace]", #6, "\[InvisibleSpace]", #7, "\[InvisibleSpace]", #8, "\[InvisibleSpace]", #9, "\[InvisibleSpace]", #10, "\[InvisibleSpace]", #11}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5, ",", #6, ",", #7, ",", #8, ",", #9, ",", #10, ",", #11}], "}"}], "]"}]& )], ")"}]}, "Row", DisplayFunction -> (#& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", #, "}"}], "]"}]& )], HoldForm]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], GrayLevel[0.6], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )], FrameStyle -> None, FrameMargins -> {{-1, -1}, {3, 3}}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,computabledata,formatteddata,formuladata"}]}], XMLElement["infos", {"count" -> "2"}, { XMLElement[ "info", {"text" -> "\[DoubleStruckCapitalZ] is the set of integers"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Integers.html", "text" -> "Documentation", "title" -> "Documentation"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/Z.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TagBox["\[DoubleStruckCapitalZ]", Function[{}, Integers]], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the set of integers\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {}, { XMLElement[ "link", { "url" -> "http://functions.wolfram.com/Constants/Pi/09/ShowAll.html", "text" -> "More information"}, {}]}]}]}], Typeset`aux1$$ = { True, False, {False}, True}, Typeset`aux2$$ = { True, False, {False, False, False, False, False, False, False, False}, True}, Typeset`aux3$$ = { True, False, {False, False, False, False, False, False, False, False}, True}, Typeset`aux4$$ = { True, False, {False, False, False, False, False, False, False}, True}, Typeset`aux5$$ = { True, False, {False, False, False, False, False, False, False, False}, True}, Typeset`aux6$$ = {True, False, {False, False}, True}, Typeset`aux7$$ = { True, False, {False, False, False, False, False, False, False, False}, True}, Typeset`asyncpods$$ = {}, Typeset`nonpods$$ = {}, Typeset`initdone$$ = True, Typeset`queryinfo$$ = { "success" -> "true", "error" -> "false", "numpods" -> "7", "datatypes" -> "MathematicalFunctionIdentity", "timedout" -> "", "timing" -> "3.763", "parsetiming" -> "0.108", "parsetimedout" -> "false", "recalculate" -> "", "id" -> "MSP103319hee448f5i3efcg0000100feh9e0e4bahc7&s=21", "related" -> "http://www4d.wolframalpha.com/api/v2/relatedQueries.jsp?id=\ MSP103419hee448f5i3efcg00000cbc8edcdh6h75b7&s=21", "version" -> "2.1"}, Typeset`sessioninfo$$ = { "TimeZone" -> -5., "Date" -> {2011, 10, 16, 22, 9, 10.884731`7.789392686997478}, "Line" -> 2, "SessionID" -> 23119735929452804424}, Typeset`showpods$$ = {1, 2, 3, 4, 5, 6, 7}, Typeset`failedpods$$ = {}, Typeset`chosen$$ = {}, Typeset`open$$ = False, Typeset`newq$$ = "representations of \[Pi]"}, DynamicBox[ToBoxes[ AlphaIntegration`FormatAlphaResults[ Dynamic[{ 1, {Typeset`pod1$$, Typeset`pod2$$, Typeset`pod3$$, Typeset`pod4$$, Typeset`pod5$$, Typeset`pod6$$, Typeset`pod7$$}, { Typeset`aux1$$, Typeset`aux2$$, Typeset`aux3$$, Typeset`aux4$$, Typeset`aux5$$, Typeset`aux6$$, Typeset`aux7$$}, Typeset`chosen$$, Typeset`open$$, Typeset`elements$$, Typeset`q$$, Typeset`opts$$, Typeset`nonpods$$, Typeset`queryinfo$$, Typeset`sessioninfo$$, Typeset`showpods$$, Typeset`failedpods$$, Typeset`newq$$}]], StandardForm], ImageSizeCache->{988., {1644., 1651.}}, TrackedSymbols:>{Typeset`showpods$$, Typeset`failedpods$$}], DynamicModuleValues:>{}, Initialization:>If[ Not[Typeset`initdone$$], WolframAlphaClient`Private`doAsyncUpdates[ Hold[{ Typeset`pod1$$, Typeset`pod2$$, Typeset`pod3$$, Typeset`pod4$$, Typeset`pod5$$, Typeset`pod6$$, Typeset`pod7$$}], Typeset`asyncpods$$, Dynamic[Typeset`failedpods$$]]; Typeset`asyncpods$$ = {}; Typeset`initdone$$ = True], SynchronousInitialization->False], BaseStyle->{Deployed -> True}, DeleteWithContents->True, Editable->False, SelectWithContents->True]], "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Extracting individual pods", "Section"], Cell["List available pods", "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", " ", "\"\\""}], "]"}]], "Input"], Cell[BoxData[ RowBox[{"{", RowBox[{"\<\"Input\"\>", ",", "\<\"AlternativeRepresentations:MathematicalFunctionIdentityData\"\>", ",", "\<\"SeriesRepresentations:MathematicalFunctionIdentityData\"\>", ",", "\<\"ProductRepresentations:MathematicalFunctionIdentityData\"\>", ",", "\<\"IntegralRepresentations:MathematicalFunctionIdentityData\"\>", ",", "\<\"ContinuedFractionRepresentations:\ MathematicalFunctionIdentityData\"\>", ",", "\<\"LimitRepresentations:MathematicalFunctionIdentityData\"\>"}], "}"}]], "Output"] }, Open ]], Cell["An individual result", "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "3"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ FrameBox[ TagBox[ RowBox[{"\[Pi]", "\[LongEqual]", RowBox[{ SuperscriptBox["cos", RowBox[{"-", "1"}]], "(", RowBox[{"-", "1"}], ")"}]}], HoldForm], FrameMargins->{{-1, -1}, {3, 3}}, FrameStyle->None], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]], Cell[TextData[{ StyleBox["Mathematica", FontSlant->"Italic"], " form of results" }], "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{ "\"\\"", ",", "\"\\"", ",", " ", "\[IndentingNewLine]", " ", RowBox[{"IncludePods", " ", "\[Rule]", " ", RowBox[{ "{", "\"\\"\ ", "}"}]}]}], "]"}]], "Input"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"HoldComplete", "[", RowBox[{"\[Pi]", "\[Equal]", RowBox[{"180", " ", "\[Degree]"}]}], "]"}], ",", RowBox[{"HoldComplete", "[", RowBox[{"\[Pi]", "\[Equal]", RowBox[{ RowBox[{"-", "\[ImaginaryI]"}], " ", RowBox[{"Log", "[", RowBox[{"-", "1"}], "]"}]}]}], "]"}], ",", RowBox[{"HoldComplete", "[", RowBox[{"\[Pi]", "\[Equal]", RowBox[{"ArcCos", "[", RowBox[{"-", "1"}], "]"}]}], "]"}], ",", RowBox[{"HoldComplete", "[", RowBox[{"\[Pi]", "\[Equal]", RowBox[{"2", " ", RowBox[{"EllipticE", "[", "0", "]"}]}]}], "]"}], ",", RowBox[{"HoldComplete", "[", RowBox[{"\[Pi]", "\[Equal]", RowBox[{"2", " ", RowBox[{"EllipticK", "[", "0", "]"}]}]}], "]"}], ",", RowBox[{"HoldComplete", "[", RowBox[{"\[Pi]", "\[Equal]", RowBox[{"2", " ", "\[ImaginaryI]", " ", RowBox[{"Log", "[", FractionBox[ RowBox[{"1", "-", "\[ImaginaryI]"}], RowBox[{"1", "+", "\[ImaginaryI]"}]], "]"}]}]}], "]"}], ",", RowBox[{"HoldComplete", "[", RowBox[{"\[Pi]", "\[Equal]", SqrtBox[ RowBox[{"6", " ", RowBox[{"Zeta", "[", "2", "]"}]}]]}], "]"}], ",", RowBox[{"HoldComplete", "[", RowBox[{"\[Pi]", "\[Equal]", SqrtBox[ RowBox[{"6", " ", RowBox[{"PolyLog", "[", RowBox[{"2", ",", "1"}], "]"}]}]]}], "]"}]}], "}"}]], "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["\<\ Ten neat Wolfram|Alpha features I don\[CloseCurlyQuote]t want to talk about\ \>", "Section"], Cell[CellGroupData[{ Cell["More plotting functions", "Subsection"], Cell[CellGroupData[{ Cell["1) Eigenvalue plots of parametrized matrices", "Subsubsection"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{ "\"\\"", ",", "\[IndentingNewLine]", " ", RowBox[{"IncludePods", "\[Rule]", "\"\\""}], ",", RowBox[{"AppearanceElements", "\[Rule]", RowBox[{"{", "\"\\"", "}"}]}]}], "]"}]], "Input"], Cell[BoxData[ NamespaceBox["WolframAlphaQueryResults", DynamicModuleBox[{Typeset`q$$ = "eigenvalues {{1, t, 2, 5}, {-t, 1-t, t^2, t + 4}, {t - t^3, 2, t, 2}, \ {t^2, t, -1, -t^2}}", Typeset`opts$$ = { AppearanceElements -> {"Pods"}, IncludePods -> "EigenvaluePlot"}, Typeset`elements$$ = {"Pods"}, Typeset`pod1$$ = XMLElement[ "pod", {"title" -> "Eigenvalue plot", "scanner" -> "Eigen", "id" -> "EigenvaluePlot", "position" -> "100", "error" -> "false", "numsubpods" -> "1"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> True, "string" -> False}, { Cell[ BoxData[ FormBox[ TemplateBox[{ GraphicsBox[{{{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVjnk4FHgcxmcmaw5HOWYwY4wZiS7lSEPaVKQUahJFocQkRCk17XpKW3Zt 2nhEy3bIESWUVFL6fpWtVFvtOFaStesY2daV3zQYZu0f7/M+n3/e9yPcFSeJ oFEolF3T+b+FbCOtilAaHop1DTGIE6Ht9x+kBtNc94T4sfeJ0G6s+GVCCA0z Ugs9zGJF6PrBLVO8g4Ym+wxdhNEilBRFih4H0fBO7iJfe6kITyypcW/eQkPX E3FzJaEi7N6yM2liPQ3rez8UZPuJ8Gp2hdJLTMP0p8O58xaL8B+d6P3pejQ8 tn6d77JPQtSrbswp66Fi/pt/v2GWCbH85Ez9zEdUrD2X5ekTJ0R9z70s23NU fLS5W5a5QIgb3A5UZcRQUS/tO0wZsMR1Njm911dSsdS8cP6pUkusd8jcnWZC Re1icZcqyhL5h1zTVw1RMN65fyFzoSUuKaV4lPxKwd10r23BLQKcb3qw6O+L FOweWZz3MliAl4tqJD2JFLTPiXxJ67ZA+RzLH85voKDCcYU6fpcFdnU4RFtY U9Cucoih+MhHKbvhxrVRDQSmjoxckvJRq1zOLc7TQO1R/yJOnznuqHLu9pFo oMbn6JHE/ebolN9au3lyCsQyixLBMA+fTTaN0Mqn4O7td82XZDxsdZ8pNtg6 zQPU6GgVF3vrB41vzpgCmWHT0j9kXKy4O89HVTUJnT0UnbEZXFSeLci6HDoJ aW59A+EnzXCsJdFlaOYkvFmbY75fzwxVIUMHf69TQ7Y42FT5sykmvi5Gg1g1 pAaFNN/hmmJF6X3pBF8NwfeS5cpCE5TGMwUezyfgszChaKe1CfISNbH8gxNQ /JKnY17CwdMf/UzzrCcgOPmjwsGRgzKPDnny23Foe6/j7FXFRiu9Z326yeOQ UZs0krucjQ2cgGxbx3Hociubq9VgjP/SrfwLOsbAalkfX+htjL9Fesc+OzsG J9jfXFvXaITzyyqyvV3HwI1S8bBxkxF67ozjHe5XATvvhtCx1RCDA5qXOl1Q QfXF8X6TMEMcdJDt3uilgm7B660X2w1wRdLhT2zVF9BNetF8PMwA9Spun3TN /wI1o/DeuHUWtgqzqwZ9vsAS6sChEr9ZGEJrXOGrUULjvM3j2r/MxPAXPu91 riuBfiP0454j+mhFsZIfCFLCK+bFpK9D9LAz8VLYXl0l6MdfXdLoqou85kAN 3iMQy6nT0epmofdsd83JuwT4bUVm1R0sPJpgq1l7h8D6/G3hUe9Y2GYwNvW2 ksAxI/EPT16zMNc3d6qzjMDT2ijjLfdZaPq8fZJSSECRsFy35wwLOQ92qt3T CRgPpdFinFi4huWt1jpLoLctMvG2HQsTtzmon58hYCOVVyptWdjyhabeeJrA hXu3VsbzWZjlVDgRlkLAYopXuVCbhcblvePHv53+21E5u66FiYZXosdwD4Gp SrV/QQITLTO5LmFSAuViZpQshomLTjUc0UQQON5jIloTwcQNUTaq5eEE/jpc n/w4gInf23cpa3YQuBUp/WOFCxPVdUGjVRIC2zJzFEw1A3WqmE7+mwi0v1Nf thllIPdqdcJnPwLvTgc+cP7EwKU/cj7b+xCYFmPYtDPwgEQ+XO5FoAC/vuX+ gIGKv9cNlrgRcIhYbv3wEAOVTSq7tcsIMIWVk3kxDNR6VrxP4UKgSGwWtDec gaLSrwaslxL4c3VJf+FGBm5PqPuUb08g1T5AnTqXgdER8QtWLSbAVTaQcAED jwYKYv6yI9DRu7rNkM3A88uS/hEsINBVNkjt0tBRPsOl/8IcAr97Pn3dIadj J1HMdbMmQNk3v3PkKR0HFdlR760IZGxMGa6qoaPuq9E+MyEBkcQ3hX+FjrxH Bbb3BQQ08fs9bmTScd5NyZ6tFgRGWlb5V5+io9e5m4psHoEz/ImpYSkdA1JC bZy5BPxbTGO6Aum4+4i+tNmUAJsT3iRfQ8eEvbVXD5pM77GOZX3rRMcT22N6 jTjTvt5OfjJLOqb78ubcNiYQpviQymPR8bL7iwiJEYFF3PZFRkPaWO4gKxo2 IOBZkfaK8UYbH8627UmfRSCn3jcp9Cdt/A8tCikF "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV13k8VVsbB/CDdWSeMyYJGZKQJOmGZB7iJpGEDAkRorpxETdRIlKUoUGz MZr1LBVFmqSUKEkhFcpex3SOd71/nc/3s88e1trP+j1rqwdGeQTzs1gsPj4W 6/+/6nNlUdVWfpwQdblsUEAO6xzsCZWmbjQyay7hl8MGkxefxvrxYz39JRMb +OSweY9FntkWfhwiJHGokSeLPcpDFj7w4ceJflf9Tk3K4tTldyzfePJjg5QN 791HZHG/Z0DitBM/fj+eLt7aJYsvFFQROzN+zEl6mzlQI4uHRcN35YjzY+uX gTwpH1ksfut1YcVXPlzP+mQvISyLK9MkJfLu82FDJd7d43dksMS6HSI6+Xw4 /eJ7iUMhMtjZIqYuN4IP5y7wlp+nJIMdtAu/XbHiw9/1Z93dm6XxI+O8oMMK fPj9cyesHy+NVXeb51iPsvDwkytiMfrSePlVls2lJhZ2f7q8raxHCi9WjCvv K2bhGwfiJdWOS+HS8jseX+NZ+E5KQ6eEmxRuX7Qg44QzCy9LCnhqiKTwl4/G 4fO1WHhf6Z/MriRJHDq35drl8Vm4wX+zz+iHBEaV7coXy2bB9abCglo/Cbyl zrTfxWMWvjgki051i2OTs+8a/uby4PFgT/UjD3H8mNvxm7+SB5USCTs1OsTw O0tJM+lNPOgLF7x3xEUMf3s0IlctwIN/dRZfWNAmiqtu6LlM1HFBU8MEdXmK YnL03PHSrVwwWqZZ4/tOBE++jV85KskFvoe2sx3BInjCbzTuVeMMiH0Y8pKb EMbxzy9i6cgZqM/X2fn9gDCuuno7dFp1BrqLdN3clIVxaLSwms2TaTBaFZvE uyKEVeJnI1XjpmHqlbE/z1IIZw25KZZpTUON3+EVup/n4L02H9tTXk5B1HHo uLZ/DtYQfzwoljIF19JieRYL5+AW+Y0FOsumgHs9IvtzmyD+OUdjw7mPk+Cb 1GCkGSeIn4U4Rj4+Ogkl/z6yN9ISxIsrqgoczSfh3CqPdpkONl4XEKWS8H0C hi0HLdoPs/HmjW9WmJyegJZQMUhzYuMR471B6+0moNK/n2UpwsZrEhN+zJ3g QL+BqcK81wiLV11PMz/Lgb1H2GtjSxB+ZxbrPVTGgSMZkxl1xQiff2BscLKU A2KN4E5OI2z+tqaTOc2BWjUS8c8phEO4VXo1JzjgL7yrPeskwtjp2kvtIxzQ /zyvuOkYwjGD5+fN3cOB0J1Nx0sPIrw6JmjsYTwHnogmdo79h7DQjEZzzG4O vA7+fcGGulTyXNTLGA6krjk8OpyGcJvpmQdZkRzIkL9hZpWKsFZ68Xb+bRzI baj8JZhIn1e9oG7EhQPP3ZRv8sUi7DP3oUG9MweGXOLfR8cg3C00emmfEwcS 5u9K7d2FcO+IQzHbgQNcdk1YYzTCQw3cdBUbDmid9DlxaCfCU97BXnbmHHCX 84FlOxBWOWYyVbKIAwszR/rHAhAuSQ+IC9LiQG9ZYn4M9YK92b90NTmQnGXf +ccfYU3/wb46dQ48kvVUnNiKsL7B6aet8zjQEZuZP8cPYYtWgWIiw4GfR2I6 rX0Q9uN/vcZ1lkCRyD9Xl/yNcNJPS9NJLoHuv+4dueVB7/euUv/8DIEcHjGw of5Ymak0NUngwCbZmi3u9PzN1n/KxwnwsWabC90Q3lpXc4E7ROD6dr92U2eE k0vVii8NEjD8LkKeOSFclnkk7+8BAgdvFn4Jpu71D0u+3E/gSLC72klHhP3F 1X08PxEwq1c3FHSgDskRr+ggYB3OixK2pddz5wlsek3Awar/WMU6ej2LiCn+ dgKmnQ2HPah7ZewHNr0g8KDmpFCpDcIBMItRK4GresjMei3CgYpRcb5AYK/7 6aW1lginCvTsmHOfQH3H/EVB1Gd/OQbU3iMwr72IT4G679EiV6E7BH7YZ4f/ u4aev+ujdl0dAZf0Nu3NfyG8rdXlg+gVOh8GY5prLGh9qukmPLtEIMI3WgpR S8ch2aMXCaTqFr1qWYUwqN51lCkn8ER91TsvapVdOncUy+j97V6JJ5kj/LtJ YGNXCYEJsf4GB+oW5U9jp4oJeEbkO8pTJzw6rqt2ikB/wQduzUqEXysIFGoV EOgZChz8Y4bwlYiPJgP5dH6fNxY2U6c03n55KY+Aa8b7pUXUS8OjhfRzCdxV tJKwoc6635NgfJhA4bRb9dkVdHyyt2XHMwk87Ow4t5965fb8qvpDBCQfLUnz oh6QdhowO0jg6I4wSSnqtcG3Nq5JJaB1OjzisCnCynfyfrNSCGx8of4lknpM Iir7wb8EWriL3dZTl97Sal6XSMBLVEdMkTpenC9wzn4CX1uObuUuR9glsJv7 ZB+BE9YrKr5QT4vmLXfeQ8BN3cjiOnW7/85X4gkEmkMm/z1NfbneIfLFbgK2 Wj8f/EfttZVV7hFLwKrN2smP2qDug6VcDAGDfOU8J2q28M3uN9EEhPKFP62k vl4bKee9k4D/lGKGEnXmHIdq5UgC7pZVAyLUAb6azt3hBKQT7ddzTRA2q5kd KN5BwLtM7eEotaTghwNbwwh8Loyy+kr9zeeGmvp2Atu8Y9u6qBuqcu/2hdDx PA8OfkWdjyK9zgcT6Cj9T7yFOtzb/k9wEIFnxLq5kdq6UuOo9jYCmXwLcu9S KwnM6g0FEJivdC7qBvWoV1fzFX8CxQXu22qpH1+rD4zYSuv1dXVkFXUJXy5v iR+BSm3bnArq3RsjikZ8CYT+LGi7Ru181c60ZjOBzYk6mv8/rsHSaI/xIVBi mHyykpr307fa3JvAyFC4Sg31uw8F2fyb6Pye+lFbR3295WVE60YCysq7/G9T Z98UcTrmSce/arsWUIeV2+j6bCAg89ZSoJnaJi9pzsK/CSy8Hzb9jFot5dbX IXcCh1rcJTupp3b+fliznsC9Z6GWn6nf+Oqf3etGwKhMOecHdbVjSLKVK30/ 8u9nJ6izzMr8hF0INLBlcgXp+wlZ1GXxyokAXmuybi61lZycSqEjgU/llapa 1PP4XSf9HQhUxTMqpv+vn57G+lFbAuYr+nI2U1c8nc67tY7Wwxt50WjqjNvL Y5JtCCwK1apNp/7r+GUDKWuaR62fj9RRKx34IvbOkoCqs2LzM+rxaNXh0jUE lmuaGw9SX3HOvbh0NYFeM/eKBbS+082fpnNWEQha9AL+ovbXYQeBOQHuUwdx P2p5tHeBmxmttzO2/mXUqXf9C3cuI1Ch/k7BhK6vLZeLEkyNCXgM1C/zpTY7 0eHJM6Tr8V7XyXTqXzH2MtkGBOw5WXbd1D56hlkVugSSzT7FFNL1vVxxR9hu HVr/t/XntlFLCZ63W61N4NWhSWkWzY/mzwromSb1kiqNCGqjwtn9P9QIJKGe Lxto3ogdXLm5bj6tp4yEgmPU3+JiV+5XJZCY+qzuFfXp9QOMqAqBC5ucV2+g eSYk9GLnYnnaT/pvNu6g+dcbX+K/Q4yu/4jTPz/RvPT2VbqrIErz0YD/iwXN 03ar/LlNwgQ+ZNbVn6J+JJbZqjaHrt+ga6ytNH8vnd1t8oaPwGrLl9kzVgir Z4xmp7JofWYatW+3RrgoMnxo6SwDF+30pDupD5sFlGTOMNBe8vbYbZr3Uc+d hSw5DJTsbVU5QfvD4PXHgT8ZBmRFTtTK0n7iX2jdUDTOwAeV/pBj1B5BZjHM GP2/3rhZgR3CplMa3Vd+MHBKtAbdov2IpzVdNbePgfvT6xq2u9I8Fo0XedjL AD+3Nk6Y9r/R0dGg6E8MbHZlCq9R9939pvS0m4GR3frrptYj3OTefiC5k4Fc TsDr67TfHk687DXcRo+LPdhf7k3zaZtm7cmnDPgGf5WIpv05yb5UzLaVgZ6p g3tWb0Y4WvZ4Y9ljBvZaXvnd64vwhsvJizc+YAD/5AU50f6v8sZrFt9kwPi+ UVp9KMKOmpazaTcYuCrllFa2HeF9sTqz9vUMKMas2JMdhnCX9CTvZS0DK84O b44Np/PpWsTrraDjCzvPCYhCWPFJN5d1noHM9In2rgSE7RWauI/OMnCZXeM0 uQfhPSEV3IwzDJwvjlyvso/mBUriSpUyYJtvob9jP8InrNS4C4oYMM1akmeS Quv9bsCMZQ4Dgn3CKQezELYVcZxBRxlwTEt60n+Y9gNv45knRxho2qO6xzYb 4bcc/pn1WQwc1VvkppCL8HGT89P+/zGgmphbO1qAsFzlt6nk/QwM/zqZnHeO 5g33+ZTNPwwE1n8ZX1OOcJzzzSmhfQz0Htst9/sCwh3fD07lJDDQr990J/QK wnnaulNlMXR+TmUlnapBWOZM+CTezkA1Hr2xppHur/KUV/qH0vmvk0J5D2n/ TG/ZMxvMwGKB6eGRJpqnYdoTq7cxMGVvEfm4FeGDRl/InS0MXEp+HTjegXCB xjFTH18GlvGZ7D/VSfezc63iJ30YMP/W4u7ahfCDyRJmxSYGarXGj7/7hPBM o894nQcD/umrDx0aRli0TthkgzsDIZBYf/IX7a8XbsX+cWNg7YnCuzfGEF6R Kf/HyIXW763nDuoTdL/r0T5WaceA/Gc6GWw2TrZJMXK1ZeCh03cPT2E2Pmpq uOunDQPKjt22PDE2vqacPbrYmgEN8VbDbDk2HuhzGLlkwYCKTVUHaLIx6Zgw sF/FwANVXoioLhujxxd3DqxkAJb0nYlZwsYLr7J/aa1gwMOBNVhoysaGxXVL mpbT+kiskd2yiu73j26LDDJhwMFAaJO1JRv7xjb+OGvEwAZXT5V/HNk4PDha 39qQgR9p3rav3dh4n5daxGcDBs5mV1Vv9GTjE6sSh9X0GUAy3Q+H/dm4XWDl 99OLaH0njY3f28fGvcyAroUWA0+4Sy92p9DvjYGCsA8adDzNFWmuh9hYrG18 UEmdrkfm3DbXQjZWuX9O57YafR6f2nnjZ9hYr9pj+6b5DKzr0b457yob2+VX DxSoMNDh8LvRGdh4439btU2VGYj1Prc+p5WNg/ZIhL5RZGCLi9zUm7dsHLuj 4UKcAgOpkvOXB/SzcapvxDdZeQbcuYLrCv+wcY6ryqLrcgxk6AjYL2YL4lLL 1mAPWQY2XQ3cF6IsiCuN95aPSVPrPZcqNRXE9zR1vuZIMSCgofSHs0sQ/w/3 bDvN "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVkGs0lAkch2cm9nWZMTNm3tCsQa67tlqSW9P2z9aRXLaDtCvXkFu6yCVn j+2yqDZFTREVlSQqo2260fZ/tdV0Ue1ORnSRQ0iKwjvGddZ++J3nPF+eDz+r 9ZsD41gMBsN/Zv/TihToyCJZ1B/eQpnXOxIc9ryJ58+4sEO/NqSLhPljVY+3 RbCoXJ3OuqROEjzfSKTu4SwqKvbTvcMdJARWbph7J5RFDe/YMq/rNQm7F9WD ag2LOmznMJSjIuHdmujsCV8WdcMpPLDpPgnnimRqb3cW9ST6dUpSNQn9hslb CzksSnfezgMTiSRwbjwvudTNpELdTWtMFpBQm8M1kt5mUt1XQwYu0kIwWpFk 4HCESbm2ePyO14XgJ0mVH9rIpOyTwyp8fhOCj31JT80yJlVFG+2IBiHcdZbG 5pswKZehAIVmlhDM0z0LvT4zqODt1Tj8WACLLjCWn7/HoKQpNwcKCwTgaJpW 2XmSQVW3ya/vWSuA8sr6wO4MBtWw4xDVZykApZ3l3mI/BjWPZnNYPcbQ1e6c LLZlUM4tby9HyYwhnnx4sXpEiyUbnlvkpRmDTq1yTtUpLVqJdf3MFxtDuNz1 nX+gFl943BL36hqDy5nWv4KmprFQnJ2Q38QHxVTzEKt2GjcRYaGhxXxoBa47 /+dpPHhsaKcwgg89dweFdbOmUbDP0c7Djg+ya9/6a+RT6PODtjZ1iAfqgoqj 5ZFTyF35VdKleh6MtWR4fOZOYdw2KXM4jweaiM9p/zZOooviO/2CYB5kPK2i +CmT6D26/zWIeSC7cDN+wnwSbVJrcppfcCF+i77F8gcTWJq5SJmWzAVRhjbF PG0C/zxQ1vaMyYX9fT+ZnrKdwDKZV9RQuRFkLW9X7vpnHPeGOo7kuxqBNUfx nr1rHNfw+9pfNnPg4eyQIoeF4yj2ubawIZ0Dnwjr4Ir2Mex+YSlZwuXAkw2r UhQFYxjkK6ryrWOD4yVZ0SrPMXx59/SQ+So2rIjeLMr8oMGWuJK5Cf2GsC5E 5eZyQoPFb1Ui1wJDGHTOil3trcHdZ399+sXREJZmZ34kNaPY5pAqn3pmABzZ lRzPM6MYdL81xyzFAFqtiuSD/qMoWbIu4z7bACJYz5cGaNV4Q87NLL2iDzGP /F8Z1qgx543FwfNB+mDNsFamhqrRvs8k7MG4HnRklEUlsdUYu5VHBZzVA5Fq rZa6TiN3hXKfm7ceGJ9OHqMSaJTriTV6XwiwlM7xiIqnMbzGuXLfIAELch9u 18bRuCU3JtJggAC/RHvNkhgaH+mYTRj2E7DHqUtdH04jZ7jpGbebgMnG0BF5 II3dXXYDZm0E9Hb6DJ6X0FiiIKfcGglQN2vmr1xMo1PZj/71SICOompTrweN /UfzaiS3CZh7QXfA1o3GO7q++csaCAjb1vjxjBONVy8rPvpeJUA5y+PDCTsa VYURVjHVBHTQvd9IbGk83v63V08VAYO9RYmvrGlc3+i5NfEcAeymkfdmVjS+ Xx9Gb64gwPtIXW+RiMZjHQml2ScJCMmLtHedQ6PN6WAb5gkCYrcbxatMaSz/ fnVDTikBu8M29ghm0/hLWzovv5iAwgCR3RUhjYJd5U+5RQSUw6O4QMHMf8LW EukRAmqdsyq/8GnMWmeRaiIl4JaNQ3chb6b3dfra44cI+A9DxlGL "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVkGs0lAkch2cm9nWZMTNm3tCsQa67tlqSW9P2z9aRXLaDtCvXkFu6yCVn j+2yqDZFTREVlSQqo2260fZ/tdV0Ue1ORnSRQ0iKwjvGddZ++J3nPF+eDz+r 9ZsD41gMBsN/Zv/TihToyCJZ1B/eQpnXOxIc9ryJ58+4sEO/NqSLhPljVY+3 RbCoXJ3OuqROEjzfSKTu4SwqKvbTvcMdJARWbph7J5RFDe/YMq/rNQm7F9WD ag2LOmznMJSjIuHdmujsCV8WdcMpPLDpPgnnimRqb3cW9ST6dUpSNQn9hslb CzksSnfezgMTiSRwbjwvudTNpELdTWtMFpBQm8M1kt5mUt1XQwYu0kIwWpFk 4HCESbm2ePyO14XgJ0mVH9rIpOyTwyp8fhOCj31JT80yJlVFG+2IBiHcdZbG 5pswKZehAIVmlhDM0z0LvT4zqODt1Tj8WACLLjCWn7/HoKQpNwcKCwTgaJpW 2XmSQVW3ya/vWSuA8sr6wO4MBtWw4xDVZykApZ3l3mI/BjWPZnNYPcbQ1e6c LLZlUM4tby9HyYwhnnx4sXpEiyUbnlvkpRmDTq1yTtUpLVqJdf3MFxtDuNz1 nX+gFl943BL36hqDy5nWv4KmprFQnJ2Q38QHxVTzEKt2GjcRYaGhxXxoBa47 /+dpPHhsaKcwgg89dweFdbOmUbDP0c7Djg+ya9/6a+RT6PODtjZ1iAfqgoqj 5ZFTyF35VdKleh6MtWR4fOZOYdw2KXM4jweaiM9p/zZOooviO/2CYB5kPK2i +CmT6D26/zWIeSC7cDN+wnwSbVJrcppfcCF+i77F8gcTWJq5SJmWzAVRhjbF PG0C/zxQ1vaMyYX9fT+ZnrKdwDKZV9RQuRFkLW9X7vpnHPeGOo7kuxqBNUfx nr1rHNfw+9pfNnPg4eyQIoeF4yj2ubawIZ0Dnwjr4Ir2Mex+YSlZwuXAkw2r UhQFYxjkK6ryrWOD4yVZ0SrPMXx59/SQ+So2rIjeLMr8oMGWuJK5Cf2GsC5E 5eZyQoPFb1Ui1wJDGHTOil3trcHdZ399+sXREJZmZ34kNaPY5pAqn3pmABzZ lRzPM6MYdL81xyzFAFqtiuSD/qMoWbIu4z7bACJYz5cGaNV4Q87NLL2iDzGP /F8Z1qgx543FwfNB+mDNsFamhqrRvs8k7MG4HnRklEUlsdUYu5VHBZzVA5Fq rZa6TiN3hXKfm7ceGJ9OHqMSaJTriTV6XwiwlM7xiIqnMbzGuXLfIAELch9u 18bRuCU3JtJggAC/RHvNkhgaH+mYTRj2E7DHqUtdH04jZ7jpGbebgMnG0BF5 II3dXXYDZm0E9Hb6DJ6X0FiiIKfcGglQN2vmr1xMo1PZj/71SICOompTrweN /UfzaiS3CZh7QXfA1o3GO7q++csaCAjb1vjxjBONVy8rPvpeJUA5y+PDCTsa VYURVjHVBHTQvd9IbGk83v63V08VAYO9RYmvrGlc3+i5NfEcAeymkfdmVjS+ Xx9Gb64gwPtIXW+RiMZjHQml2ScJCMmLtHedQ6PN6WAb5gkCYrcbxatMaSz/ fnVDTikBu8M29ghm0/hLWzovv5iAwgCR3RUhjYJd5U+5RQSUw6O4QMHMf8LW EukRAmqdsyq/8GnMWmeRaiIl4JaNQ3chb6b3dfra44cI+A9DxlGL "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVkHk41AkDx2eKqaioNiHe6GBsKeW1pcNdOmkk2aVcRdnS9rh3XOWI1cur FSltr3EssTIZx7i+v7AlFdtvDrIIg9G4ZpyD1Pb+8X0+z+d5Pn99dT2vO1xa QqFQrnzd/5nkXLk2QHUawZFr756MohG8wCPO+irTuEVV1VCOoBHqv/Ifdaya xuRVQ+4rJo1gvZXSLZWn4ddfbmMbTCMqrAzMV9Om0XvfJMHaj0b07HjwY/7C FPR8Ol9auNKI3dSwxs7BKTy1t9W020cj+AXmQYdrp8CqkClypIrEr+YvCjZ4 TeHD6KGLb5wUif0BrErR6ikkxPeL0aRA2PNXPnaqmYT8F5nCCnMFojMk6Gyz 5yT81/e1uhUuJRxqTMR7VSYRvchcsXPLUsLCZupoHmcCSsvIB44pS4jMWYtb 1S4TOFHawh9YuoToOSZKa14+AbVCue7tm1QisyeG2VEsQzVTuLl9mkJYqoUd 6P9BhoceMF0SSCHOBFN5qctlYFVRNB2kX9CtFbf/yFMp8jK+zGX2fwbDwz1c 5iJFc2VF++vRRRySmP73EVUK/Sda3v4Dn7DzkPV0D2McWUZI1x5YwDNRbdTP RWMghlx6BfJ56K/bW7R+bhR9TT/Ibi/M4VqUS1IOYxTdL9zr3q2ZQ05QhKpJ 5ggS6eKH/hvkKG+otVwnGcYBxQzbwK2zyLDLNxiwHsbnSL0hI5sZXPNMYVcm S0BkOTannJnGGs42aaT4I8Yul9ntCJxCiquwK9XqI1opJ9T0Hk2CmhT7Y2Hy EA56uWkPfP3NavHD07IhMThBS1/Od8kQML0v9bmxGD6BJX4dM1LctCnW33hr EEnx9rzk9VK4vWu5cblzAGXRvZ6OCWPYKR51qaAPgDUbbhbwYgRv91d+movq x6uDe5V1twzj6MBvJ3/pFKF12FFCSfgIjnrMQa1vRdD5lCvyeiOGNOEbUVZ0 H/bWMMdOGg5COybbwKC1Fx/2B1y08e3HxpouvRy9XkxsZpy61NCHqeP/5l29 2YPb24Nn7m3uRdifa839Mj9Aif4qWVLeDfZP6w5LTnXDePvbhXC3v9FkuCbx iqgTJnmZUQ+r25B233ZXTOTfKG2WXC2l86EYybeIM+5AQXOpY0PnX3AKvnA3 8XU7nt7pHqe1NOPosBkjhNmGmP/Fqqc0NqLFvvSGQ1AbNtwqebeiuBFnOfp3 d9xog/Ee7/I76Y3wDFfl9Xi34dlwsBnbtxHhKn2OxxzasN3mwmjQmkY8M451 1jRog/3laDHVowFaYa/daoRCTF64wQ5bXg/ZSmc/yh4hclPTo1fJ60BcevPQ d4cQ3t/xtFlv65BUZ/GKryfEvPxDvFN2Hb79yWBrwUYhTMZTLTfZ18GTN/+e ofi1d71mZ5xfC37Go8PZ7QJYntt+Isy9BuV6Iq0jkQLo/IuisVvCRUzkueMl oQKsWrSeGGvgwqH9dbBmgAD19Fif1kdcjCdwyLHLAvy22HJNzuCCPhobn+4g AK2qnhiprkRGKX1qaJsAcbJyD9+0CoRZ+L1OfMPH+TlWobJ3GUwn09POvuRj 5ftAl5AjZZjJfe6xqf6r1/WfV9Avw3Xl9fJnFXzsmkq8/PMQB57C6q0dLD5+ Tyub6b7Kge3VFRH0UD5SqArMO8xSrL2fY/TnNj7+qLiyyCxho/V4y0KSDh+u 6gKBIJWNO4uzL5w38iEhpVT7UDYUvU6cH1Hlo8F21vqxFRtyw4mEdZ94OChe PlMuLEFXg7nIg+Rhhjt2pU6hBPnjHfc+R/CQsqR28/x4EUaWjZgYhvJQu8a3 b7CqCEY6iwIXfx4YY2rXN8UVofL0JjWuDw8fu1qZ/tpFaGJ7pfmf5sGhOGBL jn0hxP4jaUO6PMh5jGbl+gLoyRfTyUYSjKwq7peuPPiqquyjgsSywVMx257l oZiu076LS4IUhRTfjcvDd99bqf/nDxIYZ0ZYGeXhcFXcfds0EprC5HuTcbm4 GKaSUeNDQrmVcjTEMgf5qTqmwx4ktCae6FM1czBStPu9hiuJbc+b5lomshHQ dUYj+DSJ+GXRSqa52Ygxu5+x25TEAXYU5/CqbDQ5FZi6G5Mo1tirPy1mYeX1 qvdJhiSS6WZHJPUspD7u1BjRJeHnpVfwJJSF9opRrqYWiX12jm5hZ1nQ+uvz 98fUvvabj3fk7WbBfUhlPliVxC66au251SxkU3Qf5CmRyN+zzElpIgv/AAWP uGI= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVkHk41AkDx2eKqaioNiHe6GBsKeW1pcNdOmkk2aVcRdnS9rh3XOWI1cur FSltr3EssTIZx7i+v7AlFdtvDrIIg9G4ZpyD1Pb+8X0+z+d5Pn99dT2vO1xa QqFQrnzd/5nkXLk2QHUawZFr756MohG8wCPO+irTuEVV1VCOoBHqv/Ifdaya xuRVQ+4rJo1gvZXSLZWn4ddfbmMbTCMqrAzMV9Om0XvfJMHaj0b07HjwY/7C FPR8Ol9auNKI3dSwxs7BKTy1t9W020cj+AXmQYdrp8CqkClypIrEr+YvCjZ4 TeHD6KGLb5wUif0BrErR6ikkxPeL0aRA2PNXPnaqmYT8F5nCCnMFojMk6Gyz 5yT81/e1uhUuJRxqTMR7VSYRvchcsXPLUsLCZupoHmcCSsvIB44pS4jMWYtb 1S4TOFHawh9YuoToOSZKa14+AbVCue7tm1QisyeG2VEsQzVTuLl9mkJYqoUd 6P9BhoceMF0SSCHOBFN5qctlYFVRNB2kX9CtFbf/yFMp8jK+zGX2fwbDwz1c 5iJFc2VF++vRRRySmP73EVUK/Sda3v4Dn7DzkPV0D2McWUZI1x5YwDNRbdTP RWMghlx6BfJ56K/bW7R+bhR9TT/Ibi/M4VqUS1IOYxTdL9zr3q2ZQ05QhKpJ 5ggS6eKH/hvkKG+otVwnGcYBxQzbwK2zyLDLNxiwHsbnSL0hI5sZXPNMYVcm S0BkOTannJnGGs42aaT4I8Yul9ntCJxCiquwK9XqI1opJ9T0Hk2CmhT7Y2Hy EA56uWkPfP3NavHD07IhMThBS1/Od8kQML0v9bmxGD6BJX4dM1LctCnW33hr EEnx9rzk9VK4vWu5cblzAGXRvZ6OCWPYKR51qaAPgDUbbhbwYgRv91d+movq x6uDe5V1twzj6MBvJ3/pFKF12FFCSfgIjnrMQa1vRdD5lCvyeiOGNOEbUVZ0 H/bWMMdOGg5COybbwKC1Fx/2B1y08e3HxpouvRy9XkxsZpy61NCHqeP/5l29 2YPb24Nn7m3uRdifa839Mj9Aif4qWVLeDfZP6w5LTnXDePvbhXC3v9FkuCbx iqgTJnmZUQ+r25B233ZXTOTfKG2WXC2l86EYybeIM+5AQXOpY0PnX3AKvnA3 8XU7nt7pHqe1NOPosBkjhNmGmP/Fqqc0NqLFvvSGQ1AbNtwqebeiuBFnOfp3 d9xog/Ee7/I76Y3wDFfl9Xi34dlwsBnbtxHhKn2OxxzasN3mwmjQmkY8M451 1jRog/3laDHVowFaYa/daoRCTF64wQ5bXg/ZSmc/yh4hclPTo1fJ60BcevPQ d4cQ3t/xtFlv65BUZ/GKryfEvPxDvFN2Hb79yWBrwUYhTMZTLTfZ18GTN/+e ofi1d71mZ5xfC37Go8PZ7QJYntt+Isy9BuV6Iq0jkQLo/IuisVvCRUzkueMl oQKsWrSeGGvgwqH9dbBmgAD19Fif1kdcjCdwyLHLAvy22HJNzuCCPhobn+4g AK2qnhiprkRGKX1qaJsAcbJyD9+0CoRZ+L1OfMPH+TlWobJ3GUwn09POvuRj 5ftAl5AjZZjJfe6xqf6r1/WfV9Avw3Xl9fJnFXzsmkq8/PMQB57C6q0dLD5+ Tyub6b7Kge3VFRH0UD5SqArMO8xSrL2fY/TnNj7+qLiyyCxho/V4y0KSDh+u 6gKBIJWNO4uzL5w38iEhpVT7UDYUvU6cH1Hlo8F21vqxFRtyw4mEdZ94OChe PlMuLEFXg7nIg+Rhhjt2pU6hBPnjHfc+R/CQsqR28/x4EUaWjZgYhvJQu8a3 b7CqCEY6iwIXfx4YY2rXN8UVofL0JjWuDw8fu1qZ/tpFaGJ7pfmf5sGhOGBL jn0hxP4jaUO6PMh5jGbl+gLoyRfTyUYSjKwq7peuPPiqquyjgsSywVMx257l oZiu076LS4IUhRTfjcvDd99bqf/nDxIYZ0ZYGeXhcFXcfds0EprC5HuTcbm4 GKaSUeNDQrmVcjTEMgf5qTqmwx4ktCae6FM1czBStPu9hiuJbc+b5lomshHQ dUYj+DSJ+GXRSqa52Ygxu5+x25TEAXYU5/CqbDQ5FZi6G5Mo1tirPy1mYeX1 qvdJhiSS6WZHJPUspD7u1BjRJeHnpVfwJJSF9opRrqYWiX12jm5hZ1nQ+uvz 98fUvvabj3fk7WbBfUhlPliVxC66au251SxkU3Qf5CmRyN+zzElpIgv/AAWP uGI= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVkXk81Pkfx41jptLPGbl20S9XG7F+ER3vryuqrRyxSltiSwfKErXONKyr iVjHVmpRS6sUQqF30pYi2u+M+6zJsa75zBhXqO33x+vx/Pf5eL50fU67HpWU kJAI+LL/k+NZpRSiMI0Xb02si0hjUdyz2z0N5Kdx903RA5VUFqWWzrve9Z9p FI8Z25VwWFTeG2JoIzuNcfkhCe+TWVSlrRHIMaexMt02d0c8ixpY/9upwgUx Op8bmFEPZ1FmjIjnPUNiLOKmHKj/kUXxiiDUoVaMrxyd+jZtYlHp8KJota8Y LbZGmth3MCnrkLwqvpwYzx6S0A6MZlJ7eStveNRM4dlBzgFZIybVcy7U/bXP FH5d9myDdpMM5VqzcdhSfgoz1T5v1g2VoSh7sdPtchEmTfp980hdhro2S8VW e4lQxcHpfQNKUwM7+Jmvl4mw8pzMfLq/NHVtgB3edU+IrWb5XqrK0pSNasTm DweE2HGXOWL5VIpyC2NwM5YJcYSj3J59Worq04q33l5CUKJZ17tRTYpyOeId KfQimFhZoH6iQZLaOmqVep1BsLDSeng0SJIy2Wo3PeAiwFX2TL2bX0lSpfza mJ+LJzF7SiSb1MKgDJQti1XmJ7Cs/kO1TziDCojx4hS4TKDuy4dpe40ZVEFo lMLGa+M4c797zKRTgqqor7VRHh3DBv0FjvQvElTOnkKjQbsx/K5pm365tQQV 4JP2oOryKFpVJwdcevsZFMv1SPTwP3jzzO0STcvPkHawrTfD9h9csfVXN8bv n4DBiTv15+URTA00yfL9tAS2S/0lD0eGse5q40+lx5YgZHpTRp35MObvd5Rc /2wRLtjfM9CMHcLUqVlHV51FOPx3c9DxnkHsqf/FvydhAUyGJ7wqDQeRWX1H 7m/+R3hjXbU4H/MBK7olE546fQSnwdzvknr4ODUjyU4umYdyNfYWrXV8dKtX 68lnzQNJXMX//eJ7PBb8+pn6iTn4ip1vZNTyDpMerrFuejwLmjW9+gX67/DU nHmFr8osiHf+j+t/YQDdx/u9As7MQMRfShB4rR8rcvMUNB5Pw4Mzyg6ju/vQ q3VNU+nKaWgwVkw+we9BC90pu/zdYsjMdtzAju5GP2X3bZqpUyATzaPizbtw MUzRRtgvAo+wQ1eSGzvwjOK3lgf1ReA0ts3lXHg7HugqXuplC6F5b1mQa2g7 hu+THI2LFYJ7ucGV9UHt+IS4MTbECMEnUoE7cKwd2eaxVexwIUTKv9+3w7Ud ry8YRW37SQil5nGeGkbtuGKlwfKJw0LQimg8XNPWhiVX6xpttwhBuNIzUOLb NkwpV/c1myfw9GjT1ZPr27DKQi2DOUuA84R6xdNvw6E7/LxeMYF1Z4zWFmm2 4Z0rk95phIAP92Oni0wb+l0wTZUfIcDLue6Q39GKmxOc1h9vJ1Chz9faHt2K NosXNDIqCbCjv995/3wrLoYbLPzxkIBrR2OYRkgrWqgcHaotIyBILKcnj7ei j5PHgKCEgOFEXEKWayua3ngb7l9IIKfMUDyi14onw9dqv8ohEEEFNiY38fDQ C0awShQBq6msTPeXPGzhKmQkRBCYuVV3RPsZDwfqrC4v/UzgtKzKXGklD5/k eKpMhH3xb6te25XHwznj3BPvgwg4+i+PMjzPQ8fcEBv9YwSUsgtM/9LjYcqo Wr2SM4GWnc0LHB0exvvau9XtIZCyNPvCU5OHSyLP2qDdBGR8d/0wrsDDexrM rzt2EpgzFiUqL3Lxv6KJZdUOBHrrgX+E5mJQSB/VuZlAoaDr109RXOSWHtgX YkRgnDW+0fg8F52caxW3GhIw1Vlq9QrmYv35AtllBgSqnLVVH/lxMUqz5UHB WgIND3wzg525yKqQLpnTJjAcPJ45ostFa72syBWrv/yVsmSxWouLAbYLl2ZU CAQWyLU7qHJxk/SJ1x9WfenDM12dv4KL5e8Y9S+VCDAtzmb9MEXj9P3kjD/k COjPLWXRz2msmWm5+4ZJ4KSC/CYG0qgY1CzqliFwz1CnY8MjGjnSu5zHpQlY 7LdVu3SXxnTdi3uVpQg4PI7Pdsyk8XD1jRDxJwH8GCGfU+NH40a7ORN3oQAK M3Ssxo7QyCyWSywTCGC82KxT/SCNc1dCR1QmBRDS66Ye5kyjP4f359CoANjb snPMrGhMss4VV34QQINHkZW3OY1San2GFnwBrDz9uJNjTOPy45a7qt4JIONG j/q4Lo1r+g/uaegTQEflxCMNLRoHHbYYefQKQOvtp/07VGnMzPUaGu4WgPeI /McwBRrlEp/HRnYJIF9C97fbK2jUvxWzoNopgH8BGVGeng== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVkXk81Pkfx41jptLPGbl20S9XG7F+ER3vryuqrRyxSltiSwfKErXONKyr iVjHVmpRS6sUQqF30pYi2u+M+6zJsa75zBhXqO33x+vx/Pf5eL50fU67HpWU kJAI+LL/k+NZpRSiMI0Xb02si0hjUdyz2z0N5Kdx903RA5VUFqWWzrve9Z9p FI8Z25VwWFTeG2JoIzuNcfkhCe+TWVSlrRHIMaexMt02d0c8ixpY/9upwgUx Op8bmFEPZ1FmjIjnPUNiLOKmHKj/kUXxiiDUoVaMrxyd+jZtYlHp8KJota8Y LbZGmth3MCnrkLwqvpwYzx6S0A6MZlJ7eStveNRM4dlBzgFZIybVcy7U/bXP FH5d9myDdpMM5VqzcdhSfgoz1T5v1g2VoSh7sdPtchEmTfp980hdhro2S8VW e4lQxcHpfQNKUwM7+Jmvl4mw8pzMfLq/NHVtgB3edU+IrWb5XqrK0pSNasTm DweE2HGXOWL5VIpyC2NwM5YJcYSj3J59Worq04q33l5CUKJZ17tRTYpyOeId KfQimFhZoH6iQZLaOmqVep1BsLDSeng0SJIy2Wo3PeAiwFX2TL2bX0lSpfza mJ+LJzF7SiSb1MKgDJQti1XmJ7Cs/kO1TziDCojx4hS4TKDuy4dpe40ZVEFo lMLGa+M4c797zKRTgqqor7VRHh3DBv0FjvQvElTOnkKjQbsx/K5pm365tQQV 4JP2oOryKFpVJwdcevsZFMv1SPTwP3jzzO0STcvPkHawrTfD9h9csfVXN8bv n4DBiTv15+URTA00yfL9tAS2S/0lD0eGse5q40+lx5YgZHpTRp35MObvd5Rc /2wRLtjfM9CMHcLUqVlHV51FOPx3c9DxnkHsqf/FvydhAUyGJ7wqDQeRWX1H 7m/+R3hjXbU4H/MBK7olE546fQSnwdzvknr4ODUjyU4umYdyNfYWrXV8dKtX 68lnzQNJXMX//eJ7PBb8+pn6iTn4ip1vZNTyDpMerrFuejwLmjW9+gX67/DU nHmFr8osiHf+j+t/YQDdx/u9As7MQMRfShB4rR8rcvMUNB5Pw4Mzyg6ju/vQ q3VNU+nKaWgwVkw+we9BC90pu/zdYsjMdtzAju5GP2X3bZqpUyATzaPizbtw MUzRRtgvAo+wQ1eSGzvwjOK3lgf1ReA0ts3lXHg7HugqXuplC6F5b1mQa2g7 hu+THI2LFYJ7ucGV9UHt+IS4MTbECMEnUoE7cKwd2eaxVexwIUTKv9+3w7Ud ry8YRW37SQil5nGeGkbtuGKlwfKJw0LQimg8XNPWhiVX6xpttwhBuNIzUOLb NkwpV/c1myfw9GjT1ZPr27DKQi2DOUuA84R6xdNvw6E7/LxeMYF1Z4zWFmm2 4Z0rk95phIAP92Oni0wb+l0wTZUfIcDLue6Q39GKmxOc1h9vJ1Chz9faHt2K NosXNDIqCbCjv995/3wrLoYbLPzxkIBrR2OYRkgrWqgcHaotIyBILKcnj7ei j5PHgKCEgOFEXEKWayua3ngb7l9IIKfMUDyi14onw9dqv8ohEEEFNiY38fDQ C0awShQBq6msTPeXPGzhKmQkRBCYuVV3RPsZDwfqrC4v/UzgtKzKXGklD5/k eKpMhH3xb6te25XHwznj3BPvgwg4+i+PMjzPQ8fcEBv9YwSUsgtM/9LjYcqo Wr2SM4GWnc0LHB0exvvau9XtIZCyNPvCU5OHSyLP2qDdBGR8d/0wrsDDexrM rzt2EpgzFiUqL3Lxv6KJZdUOBHrrgX+E5mJQSB/VuZlAoaDr109RXOSWHtgX YkRgnDW+0fg8F52caxW3GhIw1Vlq9QrmYv35AtllBgSqnLVVH/lxMUqz5UHB WgIND3wzg525yKqQLpnTJjAcPJ45ostFa72syBWrv/yVsmSxWouLAbYLl2ZU CAQWyLU7qHJxk/SJ1x9WfenDM12dv4KL5e8Y9S+VCDAtzmb9MEXj9P3kjD/k COjPLWXRz2msmWm5+4ZJ4KSC/CYG0qgY1CzqliFwz1CnY8MjGjnSu5zHpQlY 7LdVu3SXxnTdi3uVpQg4PI7Pdsyk8XD1jRDxJwH8GCGfU+NH40a7ORN3oQAK M3Ssxo7QyCyWSywTCGC82KxT/SCNc1dCR1QmBRDS66Ye5kyjP4f359CoANjb snPMrGhMss4VV34QQINHkZW3OY1San2GFnwBrDz9uJNjTOPy45a7qt4JIONG j/q4Lo1r+g/uaegTQEflxCMNLRoHHbYYefQKQOvtp/07VGnMzPUaGu4WgPeI /McwBRrlEp/HRnYJIF9C97fbK2jUvxWzoNopgH8BGVGeng== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVz3k81PkfwHFHVEQyk2Yc6dRt9dNp1nyIJGO1dCqENSodSM6HMrItIhQt acldSRSlhN6fJHKMmS/zG2VcGcZ9m68j5be/P16P59+vta6edmw5GRkZ/3/7 v0YsmomhUiPI2ZcUxRTnAC2pEt2WbQQ3MrzEbPINkN1e6NsMAZb7ZBTrpeUg 2KmD9o0R0Dxydl506AMU3qhhxvYScI9ngJ/s+Qhxdb5MSTsBoQmVO5X6K+EK bR3TWEhAYJLPBNurCqzZDcYJXAKWp+yP02yuhq2FQcaDlQS8Yl69Oby+BpYs 6BkfKCPAoq1K//6ZWpCwmn59UERA2YWzsqGhdZDRs+3XQxkE3PUVWkylc4Hz ny+M1AcE5B37ZKid1gBOIX8ypHEEJLkW71+ewANNeptRZggBCTo/U0pf8GGG HWk050fAWbMt2VarCRAW7jayvUJAbFPKV6+Ifz+sY/YvOBBwtXXY7MHRRlDi oH1njAgo/Ztlxaxrgr76wb2FOwmgO2py360XQBU9ae/SLQRkqUSfORIkgJtF Y3verCKg85ypt/66/8KsJH03RcqHFk6vjMVZITQb2uz2GOKDAs0hjv5MCK85 c7s+iPnglMqpyZMKwVvz6C7PRj4IospYVuHN0P/bIsO6Aj6o7znm+jrlC3x9 5W4Q5sGHO5xWnbxHLfBGlmLQ4sKHo+y/coNaW+C+Dfyy054Pr83LXZNpIrDt W/VLxyE+RG18d70rRgQ1WjU7GBv5kFo5b659rRW8FU6ekAAPykzNpio3tENe ZKOT7nMe6Hn72io7toNExebcqWQeaGwpj+UmtMNpjYMBtdd4EKxqM9Uo1wEH Nhkm52/hQXXuy/X7vnYA9fDydr/4BhDlcNK73nbC2+hq9uJzXICghmBjgy6Y UDO7YnKMC6WcIW1fiy7Yfv+9X6ApF+J1Gk9EOXRBesrr8EEtLizyOdp3PKIL budnPuXx64Hu8lnJp70LHPghw4lG9VD+jLPV+JYYFij7fDer1oFUY471E7pB 8MNVKW2+Ftz90z2fE93wpPfOo1WDtbBpT6XIStwNdqXiGsXPtbB5JcfTVrEH slxjV/eE1sLngRH3eFYPWL6UVKdLa6DuG49Ka+qBezb3NbXaPgOttXnKpVkC GyInQCWvCuQfOg3Xl/VBhz8xID1bAddiLyTdoQ7BiWXCMpPLpeDfGhvvYD8K OmTpd1FJISx+WPjiC20clJj6SdOJGRDNHWH53J2ANQZ+fiUHNgAz6MZI2PQk sN6IfHsM0tHF9ITP40wpmBatNb0pfYkC+ju6nqaQkF+e4ckqeoeSbC/MC7um wd9j+Ep4xgcUe2ql9P2aWQgX2rTlWFYhE1God0HgHCyIhLrrH9Wi7GX5p43K voPENIveZsdDsptR7iatH6CdmEO3miFQ5lSO9A/fnzBrH6N2TFeAnh8qKKC/ WwAVLk08f02IVpDZNYwYGSyMLtYVZHxBgRYXhl7vksXCeXKv1UILStsSp+0w IIuVDTZ2vv+9DQU6VaxTTJXD0gL3CZegDuT+sOn6Vwt5rOy1ccy2vxNpSUeM TRbksZ/+Wu3bsl0oyjzNryRvEQ5uoMSZUsXIZNb5gNIpBZxa1extyexGG4ZH OmwpiliTnR3hfqwHGfm7Wfl+VMQvz5irCEIlyGXC+bI4bDEWG7Z8xU970Wiv xTm3A0uwZ2GgqLK8D1VadjZESJfgVZEDVrT+fmSxLMbYq2QppiuyR2/KDCLH XqJb7K2Ei92EokvqQ0h2pprP2KyMr2jR9+QwhlEiJel7y6gy5gSwP5G/j6AQ NcVM3rNlOH9HWMXf10fRK+Wo2eBAFfzQ/PicHmsMRVfn9ZxnqOLtf7jtrRCM oYEl/s4nvqviuh0O2xQ8xpFl8tuUf7jLcWLdl5Kj0nFEKattGz+shr1XMhcO R0+gKCJg661iNUznp/aFrJlEQb6dF4+sW4FHHP+89CF3Er17or2IDF+BiUS7 x7kmUyj46quDF6dX4G9Z2cGP6qdQhHqkS56zOn6/bkradFyKNJbOhcnXqOOn 1tv0XgxIUYT0p340g4I/HO4dS/QlkYKpiverxxQssOfoLwog0Rqd5yj5KQX3 XaBf8goikVxDzibOMwpWvc3qtQwh0V/yRWbWBRR8uragbTaCRHcoN/J6iil4 yiqg9sw/JLrlb2+mU0XBetZLs3Q/kuh8w9yDR90UvN8h41vUJxKZZ9k9iJBQ sPUlhu5MNYns5pwKvfso+Gr05WR+PYkuB6ftNB+iYKgn4kKFJMrU12APTFLw qd+Sr4v7STQ6Z5HBkKfii46GpUeGSJQrNGLqKVDxjcv1M6UjJLKOUJtSW0zF 2Xd++iRMkuhFxaXnEiUqnuC6ehz8QSJp/96T8epUrND+/fHLBRJ11EZW3KBS MW0koUdHbhpFbRcc8tCgYqZqtTOpOI3uVjummWpSse1q51TXpdMo81mGzw5t KnbTnxU1KE8jMXvQmb6aigOY9+gM1WmUX2d0XmENFUfZbDv5WG0aORTGR46v peL/AX2zCSk= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV1nk4VG8bB3CUypwkUaEiEhUVpbLlPrYKIW2SNWTLViKkspSEJCV+KluW aFGISjxIdmUiZMm+b8PMGUvkfd6/5vpcc57rnGf73re4tdvJi1wcHByBnBwc //9V1hMi99N+Ip1bqTu/y8YhodgyCOX8iXbHbBL+sPw/YPe5Q/csHWWxN37m n3wJjfJbQJFBR927Nz/J13oP2Ter1B4M0lFYjS/X8jMfILLGU23gDx3lvbxg NTL6EVyFJNQON9FRqVk3Oij7BXZl+x4eLaOj6W+MzTbzxbBqSeqwxhc6irFR F+bULYUBvQbV/3LoKKGhYefzu18huV9G9WgyHan1ntmQ2PQNRIQ7lF/coqNE wt9rJaMKZi/eU573oiOH1XtIVlc1NGUfUDZypSMpzqttNdU1EHU8QmnJjI6e /fKkO4bVAc0fFE2V6UhcboombFcPQ7Wjh7Ll6chSnHnSo7IeyoVjD/HspCNd Wr7Mtx10CMxhHMzfSEeR5mH8Rb10mBtIOiBA1aOfIbG3Q7UboHm/wQGnsXr0 Rz3FSzWuAT74zyuU9NajNY9j+iPGG+CyyCkFt5/1SNOX9kM/shGG9Zfvr8mq R2W7du8Ir/gFv3Pt5IKc6lGybXjbfe4WyOcUkGu9UI/em+08dF6nBaIN0F55 k3r0vIJ/6Xx4CxgNbdzbebQeTfWvS+db+xuqNlXtVtlej/7JOZrWr2mFy9zG ZwfQD/Q5Wfao5XgbvL7300LszQ80Z3b0k4lMOwzwGtifi/uBqmp9ifcO7XB+ g7Z39dUfiGPc2/h2dztoSO+Pe7vzB7KZmVYRru0AQR2+P16PviP+NK8vfnc7 waAudCDL/zuSRm/Ds750QojRiskhl++IJvlA49JUJyyaLC6dP/YdLVnlZpXK dsGA06g4LNYhxaaN/IejuuBjeMXFlfZ1aMK19q3HqW6YXqvpSp6uQ2Md3Y3I qRtko4u8fNTrkNjXhqKOgG5Iev7h7uimOuTvHeDxMKsbQt++yPhRX4teccfN D6/qAbP6W+MxyrWIy2EuvDOnB5YEFD13rKlBB+9579We6IXGRWta4kI1mi1m xsUs9cLLwfsJG0er0Uavpbnva/vgZEFv1YrKavQia1Xu+L4+SLF+INofUI1S 8rZ6TXv2wbH3AxVJVBWKXYiuODHTB1EG0SKbOipRiXQEbXKoH+wUi7OiaipR WnAU35mZflCRGNWifa5E/zT9lqVzD0AfRbrNPalElbzdVnwSA3Dw+djX5hOV 6Inn7ki2yQC0jWq6PC6rQEm8hKRG+QBI3ptGvK/LkYdAWcX3h4PQuTzeqiOu HOnNWRPFzwchzl+H8829ciSwnc84OWMQ1nonahy3L0fSE8NeyiWDsGBn8C1U ohzxB/d2F0wOQoNWZvXK/74h1TqRYWHdIQjksP7FGVyGZHp0do6yhuCwH68X /WoZ6sqJ5dqzNASzMx83JNmUoazsst+2PMPgOsl3jlQvQ5JHnje83TIMJn8K W28ufEUSyeMiedrDIPdFuOvvla8I2QToJD8ahs5r9BHKshSZtBldd5YeAaE/ CY9P6Jci/dByTgH5ETip5ar2SrkUGYt+Yr1RHoGytUSU1fpS1GmpdKlEfwRe Zmgp1VSXoJ69kS+tPEbgSlv+3cQDJUgN9jhGfhkBboiX1COK0XqxFJtdR0fB T/f3M70phNoP+xv4G47C5AYvBkctQpU3rn6uNR6FxqysmEsBCCUgdSMdh1F4 3i0xQI4Vocl2S86GkFGQ0+YJGi0pRKOz32QUKkfh7OqmL6RLATp/dpVUCDkG iy/oOz10C9C2y3uOHT86BikqdU9SpQtQh6dQMI/BGEw7lbnTej6je0dbvd1M x+BBVbZk49nP6MjpoP0jnmNQGfwg3J78hA6LaxQmZ4yBMqeOWYRAPqo5Opxs snocumO1qooZecg2UTzLaN04hMiRB5l1eejC8L92TaFxaLI8tPZcSB7S/VD5 aYPkOHgUbS8TX/yAVNf5qV5TGYfX17lkPwzkoowa7/s7HcdhC7vgb9unbNQT sYUeWDwOxdaLvpKPs1GwTJLD4fJxsP2hNu/smo2ebPuyfroGj39ZMrsokY04 x4LrdZrHQdm0ghILf4/+tQg9zRkfB+Pin5M2Fu/QZYPuYi/hCZBY31DRzP0a CV7b7D3mPAGOE2fKHT6/QjtsC5/OXJ6AdxUtZXOur1CBJX/2otcEgO+fkk0t mWiSy7J+3n8CzDqHCywzM9Ch6/LBnx5PwJMMjneDBulorHPPZoOCCaCp7Ymd iUlGboa/FBeWT8KIRU7ZkH4yuq3w08WMZxJqbilO/V6WjJ5dmrv6kXcSwks0 dL+4JaE5wye8thsmgU/beMH/aCKyvZI3fU96EqRjOUoEJ54iH+OAFkGdSVDO TTFSfh2Feuf/o47cm4Stcl5enzQk0Ze8h3WrlyZhQMPxBdNBEaweuD+V5GTA xPcVnMk++sD7Nf9qCRcDfKpHYhY4rCBSZlBkhpsB89fjbda9cIfzkZssTq5m QMFpb50tLH8YELfnqhZiwCb1i1+SNz/EdehCRoUcA/Ty2zz75ZJAYZjWrG3O gFVneafrrieBXWa7Va4FA8pYaq555UlwQCciV9yKAWr7ku3umiXDaZWnaNaa AfveOBjvDHkB/XpREbEODBB6QSm6dKaCTVnRiUQPBgxE8C2w7mfCcOlFodYQ BqjniKsHUu/B7cxTf/V3DHDKb7voI5QNDZ97nUzeM+BxQXSou0o2XDsTGOme zYChrzyNFgHZYCz+6OGzXAZENE7ZqfDmgEvDpzujHxnQTpWEsyRzISaRTtiV MMBb0brF7nQe+K75ur+RzoC3hcluejmfQWS3xKYKBgOuOY273k0ugSWZRMpL egruNhl0pB0rh/e/w7temk3BUluT2LaEanh2tNjcI2wKBtRThDtO/oBjstv0 thdNweaYNGHdWTq8c9eRHp6egjmTiLWnxRqh+UL/VNDOaeCtE+pduNoE/Fe0 UYHLNKzWIsjcG01QlvHGr94Vu2Dx2aXgJnCM2TDR7zYNtIyes60xTeD3lppc d2UaVtx5XZ3/uQlsAg7e8fSaBo7DZPYVjmYIu+ESb35rGqZf2wcMhTVDYafV PvRwGprC88Qak1vgXv2dOfbHaXgSsXFW+3UL7OruiTr/eRrORnrX539ogc/v cg6jAvz8I+WAp5UtwBScqwkrwo4r6rGeaAEOZ55h+TLsl+WpU0q/wS5su3zO D+yyJhk++m/IlEmJixrEXmAf0l1qhcMTlj08m5jw4kMMLXJVGwjai/rmbGaC u6tixy/+Nmh7M3TRQpQJPF0+gRck22DwryR8FGeC6teFWm+dNng32yrqtwOP v8dlnf6oDd447a3UPojHb1gTvnxHO3zu4HcaOckEQm57V9GJDmgjzRPKI5lA O+jqfNGkAzi9+6TeRGGr5s8S1h0QtqxSKvox9jEdfhOPDjgaxhftGMuEVVYu GszoDmi/E2kkmciEFZEfUqTbOsDnUptPTxYTOBjajpEX/8BGoYRlYfVMoLLs pi/4dsIkR4pH6wYW5JGi86VBnfD6x5k+U2EWeNF/cUre74TvKzVvdG5iwey0 Fv9AQifYXjkpN76VBfMHtsk5feuEPJuWJgkZFix1TB5UWtUF6wxEuOaABcts X19VP9UFAfMaeZaXWEC4b2cYDXfBtWJyPLqKBcstf9Vnj3eBoYED381aFvzT v/NeYBr3LUeGoh1+sGBapv/Kr/kumD9k0qL1iwUtgynUudXd4GD8y0WkmwVp lpJ/Lfd2g+imwfcqcywgDbetcPXsBj2GYJCdDAVee8Q3h3L2gJBXYM5gDAXs WcZcI3cPBF9OOu74FP//tbhZjNYDCglDFePx2OesHn1Y1wPIKdptKZWCa4EJ tO5tPZCeO1WnnUuBd9OWuUNHcN+TsiBygU6Bz02Rpv7QHghJiI/t42WD33eB SHXBXrwOjwc/RbLB7E/cq2GhXjjTo2ZiH83G50i84uGWXnAr2sklHMeGf7xy /7qleuGrfRjPvRds8Nc/7hyo1AvXKiLNnuWx4Xbt7WNfLXpBRGevx6MONtyv pji0M3phb8t/F/7smYH48ubLx9T64I68cHxR5wwILe4bSdTog3/kusX9/TMQ tT/Ceu5IH4yPNba+GZmB4EStU5mGfbApem5LFjUDrr7vFVZf6APRoIf8Q8Qs HN4TNvMjqA8kPwVLHlSahfZotRvGVX1wyEM56EzMLIhcTA2xO90PKTUGjcLW eIe78tU2m/SD2j/V+BOOc/DDrJpFN+8HQcazo/fd5+D26Umrw/b9UKluqSZ0 aw7GNZWUBH37Ybu9U+/VZ3NQLFE3XJLQD6UcUs46LXNg18XS3TLaD9WyfrfM Ts/De1Mt3saAAfgi2BvYYP4Xeve3/i7GfdeWRRnfzcmL4Jbt01ZWOASL5gLv 1o8vwcZ7I7pCw8NQzrYZ6VPiJIVXXJwM5BiF8JVlgWYWXGSebVOb87ox0K75 Uuvmsox03SR8MA3X8c6rM5ERt5aT/t4Xv7FPTMB/RQXCrs7c5NvdQaVPbkyC /puXB9xMVpBPtc7MS+kxgN/TENG2ryRlbWwPlTYygPOnUFlB+0qyZreZDLfT FEg1jy0lRK0iY2paPp2ipuDSu7hcVVke8vJ6tSWdcJx7hkHDw8U8pHB9/NCt rUw4la+4z4CkkSfs3k68lGBCXhEK59agkSELhSy6JBPi9nH9LtCkkewdHRyS O5kQdClJe/tRGtkYsEm4Up4J5z2S7Ef1aWTE/lidtZpMoNs5PdQypZHLYx5m Jl5kwk9lhagdnjRywvy2c0kmE3pLD5unpdLIpidu/MJvmGDXcGHyYDqNLPxx Ps8d58QR622y5S9pZLi6PMfWXCZc68t+0fWKRu7a/ufRzUImcLW73uTOppH2 Y4cKVHCO5GQq+a0popFdvqM8eRQTnHbubhL+RSMrc5re8s4y4Zktq/RmE43M Gis5dXGeCfusrHV6mmnkTYvY54JLTLgwOrw1tZVGbtbQlvdYxYKo6MwR4S4a eY4n4Zwczp1U49WOaIRG0mNOpmeSLMgOeDRG/aORK/rSfVs1WHBspYO+EAdB Ksst6tO0WfBCytJWiZMgkyvTWY46OGe2m2ZfW0aQHnML6jtPsmCoWKCobyVB rjdNb0+3YUG9d+Na/7UEaSK6wJ8azIJuHeng/K0EGeFk1N8YwgJnkeG7WeIE WZqX9nF5GAviS7pl0yQIcpehkaXtAxborHc3fyBJkH9vpb3eFsuCX+drNY12 EOTz7hNHkzNYUJ7eeT1qL0F2p6T6JeCc2/Dw1HHuwwTZ8ifUoOw7C6qORGjW YtcLuW8drmeBrJJ+40M1giwKVy7bh3Nv5+4bSIgkyGdXfxDlHSzgLc18uV6T IM9pzcWNTbBA8YSTVM0xgjxx848z/xQLfGi2Vtd1CPLox69qB5l4/koOO3bp EuRB2YieWzMsUL1VZRGkR5CCgtt2CXBQQAQH6koa4Pf3Hv+kxE/BP5mLumKn CLJyy74wCwEKfsSVMfOxkfFG86D1FMy/FdxseJog39Z0c9QJUxB/qrjf+wxB hud4HbOSwONtWjQ+G+P3ByU2B++nYNYw+QTTlCDVCu9kvDpAgeHt6mseZvh7 Zpyu1x+igO9B1ZppbMlLB8REVClYnXsnZMScILlOVdu90aKghf9eZKUlXg8J FtVwhoKwmpNiijYEabeUayd9jgIn1X7vdOw17Z7NvucpyJO/MSxoS5Dm0TMf xS0piFGz4hnBXlj597qbAwWFav9tvGFHkCl9BWOlThR06U4utGPrlfiZb3Ch IPB8/JiyPUHG+f5TK7xMgaNBTh8DW2mck4u4TsFTvkuEtiNBdlWVXrG4QUFS kcrGaOyQtKDe97cosOcu3NqL3WLJ/e3cbQrOSN6Q8nEiSH/V8gOvgykI734o VoItLXw3bSmEghSOZWtXXiJIr5+rQtLuU/BkT1p9OLZoVtXs3AMK/CXePq/F Lg8LddSPwvPVKDKlOePzq71aj/WEggv1ySm3sHPz+dZoJFLw4dXew0YuBGn2 uP5mdDIFQcEydv7Yyy4/nBxKoeCR+F2PN9gndwnQH2RgW/Mc4HQlyPkVjeq9 ryh4PM49II2d3Ps4++BbXDe51ngex556tuFxRzYFk5uFpB9gx/o0L5f/QMFL w+Ajb7DJs7Get/PxfJ43qFZhD+0zGWj+REHBOsbKXuxIPhFjmS8UlH+uSZ3H VhxrrbhZREFi0lnBtW4E2Vn5VPFnMQUSDf5G27CDU80ytn+lQNJU2VQBe0/g FhGfb3h/tD32amI3WfwJra2gQCB+U60h9k2VhL9i1RRku2/bex5bSsjK2aOW AsUq37PW2HWsrR3l3ym4lcNPOmBfpXfri+A6bqnSMnwJe/Pb5CKXBgpynIuM XLDLQm32lvyi4PSpXE9nbGd7yUTBFgo2/c045YgtqNW/1qGVgh63B8M22AVb 0wIK2vH3FZ4+YIZtvWg3vaaTgl+TwwonsWmt0jbW3RTkroMBbezsvKGGD734 fshrHT2Eff5RhhbPAAV+JsNnpLC53J0+mA1RIBQtulYAO+O4jNS7EQrSGA0e i3j94lXPfmsbo4C3qFNmEDtKNsB25SSeX6FR83fs4M2vl+2fouDbrN/VXGzf 1c3JFkwKXvnkcsZiuy5waoRS+D7r6N3wwbYZk+3+MEPBDY/H/eewj9cGivEu UKA3d8+T///7++VNkeI/CnY6tv83gs/Pgdct5rYcbLAz2Z1Sgi0avudZwXI2 SPRssHXEXudnojK4gg2mnkc2KGOvcL7duo6HDU2XldJXYU/qtQo54b7Jsy/F LAGf3z4V7o/RfGxw4Crxs8dukZEzLuFnw+mG3iu7sYuJ4GihDWzI7rjdko3v Q+7fdwpaQmygitI0r2BnjLY1uImw4XvyBr+92FE18usqRNnQXyJ9/AW+b8EF Zu+nt7KBmeLcaYJ9/dXdE6Lb2HCo9cihNdi2YR0RntJs4ArjknXH9/eA3j1C Uo4N8/tCx4QccN6r5GYa7mPD+l/O9oU4D0RlOnWuK7Ah1cEj2hJ7BXEg5Kci G0pz9nM9x3nSUt21PECdDforr3b/xflT+5lIea2J52ft+PE+dknmQc0Wbfx+ A375LdiZoeEBe3Vxnydd/E8B59l1XcV/HSfZYBhmUXv0AkG6K9s85znDhmcX 5N3LrfD37opQPWDMho0NKEkD+zitzzfclA1S85XJ+3FeilY/mFG2ZYOjb3zd DM7XEp1BRownG9qNBg1WnCPIRhP/Pcu92eAiGxZ5DOf1kKOws7svG86t3HX/ 7lmcp6F6g8dusUHIPiP9L87789VZHXMhbFB27mUWGBEkS9e72vQZG4olD1/8 D9eXlab8qyrj2dBw/a9rKq4/IpcytRWS2PDUlj7+BtcnMqy9eHUaGxbs1h/M PUKQ92vI/MIsNqx6qGgVrYHv63GeFLGvbLAILXqcqoTz1iy5O+wbGyT9AoO8 FPH8nFXEZivY4DPx4rHmIYK8Eu4SV1+L16v+BM9PBVyfaumRAU34/J2JyES4 3p7Tj7vRO8yGqs67Ci24Pl8y319gOMaGNQryNxy24bxwqZ0tmGCDtoJgIAvX 99T7/zweM9mQJfYuZUmUIKfrrJ20F3FfzzIP7RYiSO4/f9PfL+G+fn56ymAj QQpNPO7fwjUDvr4Cf/LX4/q2psKKvWIGYurFdvitI0gjUat4a54Z2CWy1bsZ 9xe2e+bavhMzIP6tUW4PH0F6q0UJq6yZgSPEMT1/XoIMM5AxTl87A7ZSt4vr CIL8H9PLA4g= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV13k4VF0YAHBKERKRfU9JKEvIkheRXZEioZIoiSISLagkJbKUlH1tI4RC XST7MmQr24x1xtJg5s4g8Z3vr3l+z5x77j3nvsu5Mm6+dhc2sLCw4KwsLP// 6lgKG6hzdmFOYcC31E8F4aQ6iGLtwkybHmyZ7qUCY/wqkJY6MfFvMRfHu6lQ fKdJP2aqEysLjri+SKDC3uLgQzN1nRh3fsc7vyYqcKzvPmRU1Ym9/VfolNdA hUnLn3ovSzqx0OI2jfEfVMicUNQzzezEzLM2mAXWUkFUZEgn624nJlPY9nWl kgpLFx7prAR2Yr759z76VlCht1hDx9anEwvXKrg9+5kKcVZPtdedOzHXwJk7 /0qpwBkKB0/rdGL35u//C/lIBXLrjFaxaicWV1GWs6+QCvUiSVpbFDqxvFDn XvIHKoSXzGuWC6HnyXbN939HheXJDA1+nIBVpO+nk3Kp0Kduo+E1S8BmK8Xr OnKoUBq6cqBmjIB93GveUpdNhWuixw/4dhEw8nzTybpMKhz1XFevbyJgVQ3y De0ZVFD+9E5dooaA2SfkHyGmU4FizabeUkjAVvPlLYXTqNCQ/FFNNo+Ayeir VOmnUiFnylntZioB0zh/VcA7hQrnwkpV5aMJWIHwe7uBV1T49clD5Z4XAXu5 bzON8yUVyln5VX6fI2BP1SYfeSZRIdEG2696ioCVxuZ+aX5BBVuy0P4RUwK2 cXiqKvs5FfZr1O3TBAJ2YpVxSwx5a/jVfdGaBExQjLMwKZEKTWJNyrq7CNje 0trDuQlUyLsYoBwnTsAa5b7HayI/KJVRpvATsKysKypt8VQ4v6FdyYCLgI2+ 8+X1QjY8Gqz0YgMBe1seuHcrsv5Ba8dBWgcmZagSUBZHhZXOHIeo0Q7sYq35 1AXksstrJw92dmD5pVdviCFf2+RwchLrwDYl2on3PaPC+0ddrlIfOrCFaJGe eOTJrTaejskd2O/enNcOyNJxTb7PHnZgf2/e8JRFdhI0CWq+3oFFyZ7ZS4+l QkJydehGtw6skaT8uxW5XVLvkd7RDozW+Onye2SOrPJnAXodmCWl7mccspG8 enKBQgfGZ7+fPRT51ruCzCnBDixc9MeKP3LZ/r3vpNk6MKK1Q5YP8nxJTsmp hXbs0noZ7ouseFCmKm64HXMxKJ28gexR9bqupaUdU+uXvByBnG4g3Mb2pR3L IzXdeIX8uy6+51BuO6Y4IryhHFnAfNtwYHw7VsH3cL0f2aYtarIwtB07VhFz gRWtL9J2M5V8pR2jiBQoqCDX9oQxZU63Y6HXXAwvIP879W/dyawd275BJDMd +eBwEEeCRjuWzO1sOIrs50bnbZNtx/i7MgT2ov2e9JqRgX9tWMszWeVWZGmq x96g6TZMafG0y270/pz8R9WK+tqw1VqWpAjkjpBfh3cWt2FWsdabTqF44GQ5 YeWc1oZltp+Ua0E2vk+wT3zShh31j959GMXT5ycNF9g92zAXf5MPxijeFnkP +xjYt2FxvHsk25GVEr8F3jRE93+xYuGC4jUjpfThjFgb9olPregJiueogqw3 HYRWzJpvU+4+FP91alLFHN9ascgHCTPjyGtlyRWG71qxz9ommemvqeCPPWsp edCKqc+k6O9B+eRMuDv3QqcV89xtcOAGysfn9n9xgnwrJmHgzeaI8pXQH7i2 ZUcrdj9769qhLCqYkK5su0VtwYTN1yxFUL7vWzyteja7BeMa++zB/YYK6/wH A/bwtGBR0YaHh4qo0P3PjTN9tRl7XVdxd6mYCvlT0WlCM80Y63Vqs9AnKthV jjVtbmzGnNVTrruVUSHbLUZyIqwZC1t+6CGP6ptZ0WRDBt6EpRqZOnuheij+ is9FZLwJM5X4kPG9ngoL9/UWY7uaML4aYqJ0IxWSHePEQwubsFtyntcnmqkw t37omuulJqw0hXwlGdXfOJtEUbGhRkzwa0bQ+0EUfwerC+NaGrGKPmkB/WEq 6MrOGHNWNGIpWdocP0eoMI4b+C4/b8QcXtlObh6jgmbK7Pe+Y42YrHTrn0QK FQZmDl9JqGvA0s8p/bJiUkHu0SK29X09lhdzoP0O5zyMsKWeHUquxxbxZ6n+ XPOQHGrO+uFRPXZqkaPuEvc88AalG1l51mPsK42bnXjmYdXD5keUbD32zVlT y2L7PPw0ftvM/vIHVjbwN91TdB7CWdx6WCPqsFsekvJRimj+G53T+JlabGC+ Due3nQfh4bSEY9a1mJv8cuJlu3mwM/bRf6dTi13X4zpWd3we6ni54s7uqMV6 ifJcN0/OQ/4bY+2W5hpsg8KAD/X0PPgNlD9M16jBnmiQQ3k852ETpMpZclVj kbLZnlx35uEkd2+VwZVKLCGfx6qkYB4kGJV/B74UY+8VHG1P8i0Ap/6+JOaL TGzYO3Znw/0FkFYJDPxiJIeVW5Zja38XwLJ8IGBCJQM2KLydivBZBMMSGcNw vAiuXpZYTptdhIKvmb6WJRXAnmWeV+1Ggxtecz4PM2sgn9BzvK6HBg97bYZy zephmZEpcu0YHdYHeqV2pjVDJOysasXoMGmYLTJk1wFjPewZA+o4iL/IFbFY 6oSlffoCjWk4LJ96ymsv1Q3PdarO9f7DYWub8Njq9V44TdzlqXGaAb1PyqS6 M/shmN70qTafAc+fCi2ZvO+HbBEeztU3DDgZG0QoL+2HvvqIuAPv0Ph4nbBX jf1woKVCJ+sDcvK3Ubc//aC8fKcvsBg5vz5nQfsXqPZs/MqoRK7rVdzW+QvM J125T7Sj+eu12MJ+/4Innavp/h1o/sakwcWxX8DPV3PiGQGNb3GK7mX8AtNg J4nmLuSu4T8p4r/hnZ+sgGofMnGySOnibwiajBPtHkFeZWhZrP+GgiN77Lzm GZBV+oIzlmMAnAxc+DwXGHDV5+BQD98A3I91nnBbZMAW4s3wc3IDQL+9tcmB zgC976utQeYDUBR711tzCV3/aINbXvwAED8ORtevo+sFeZ6w7RkExzLdJ8o8 TDjUUeBqoToIiwr8L7m2MYEz8qhqrM4gCBgezSEjZy/H9opZD0JCltmXND4m 9A3yy6j7DcKM3sMq1h1M0M8SKTtXNQgmtJqkBDEmcKnsIn47NgRFVbZ28/Jo Pk0f7wunkA2lj6TvQdYrX+JyG4L9nm9Njiogm5nznfIfgiNHnC+83csEjrNX jGiJQ2ChJbPjhDITNseWZssPDMHGpYicEDXk52sq7WND0O4fyy6uzoRNr02/ Xp8dghQnlsuVyGz5v3pq/g0BWeyOOvMAEzZW/9vsLD0MKUcHP7tpMYFl3uRS 7IVhkK6o37BFD5nxFNf0GYb+WD2ll8jrf/vChgKHoeytmNWeQ0xYY/dK3hs5 DDFm7N6H9ZnwT+ppS93bYbB+tl/oigETVo72Ki9ThwELSfONNmYCXuixeC54 BIp+93SsWjKhzEBypfbeCHwruhjob8WEwM4eVrnoEVjZxWwgIy8tGvNNpo2A zA+Zix3WaD6NnSpeP0Zg69KlsCdHmVBR/1urpX0EgroS3ZeQQxziQKl/BB75 06fdjjFhNYj16J/pEVAWOjKkbouef4iqqc1BRH1rWeuHHRPO5rZUULiJUD7X umP3cSZU++TpJ/MRgapUF/0AOXTd9chfUSLMiNwwNbBnAqtM+4mvykS4u/Fi TfYJtH/u768bHieCf7VByx5HJrgrRS4tOBDhJO845odcRz9/K9OZCL4vBfQq ke8/ELu/0YMIKp036k1PofeTFxX/IwiNV6recNSJCR6+HkKBt4ng+OoIfzRy vZbRq93hRPDU2pbZhBzRuJz58DER4q/WaOifZgL79MVi81QiJOrt3LHDmQkX i401VzKJcOHSAeYR5MZg6Yq3eUQQLNezuYEcydVfw1WE1r8/+uRPZPLPEpOq UiIYPQ/ftI5s9jqmybuCCBZF9XIKLkzYomza2fadCBT8Y0EQshcue+JOIxEG nRMEU5Gbv67172sjAvmNCaUGOcqmjBjTSwQ7qbQmNlcmTAvGuRsMEEF9MLp7 J7LFyBXy/AgR1PL7jA2Rua7umrelECH2+ZZjN5DZzvQQiueIwANXjj9FXrN+ UMS/SAQvTGk2C3lJTyPuOoMIw0eURD4jLypO+PWsECGH7divZuRZ0cTjmutE WJK/pTiIPLHF5MCLjSTgIybwzCIPL9EFlthJoOB8J2wFuX8qG3fkJkFIi/g9 9jNM6Oq17/3CSwJDF/vt/MitP9jKRXeQoMRgyz4J5PpPn16EiJCAO0eqZxcy luUeNChBggdfQjYrI3+OEzh1SJYEpz6w1qghF4fVaafuJkFNYeJGLeT3V6+L ru8lAZMq1qaNnHtG7u+Z/STQSAkS10VOt+keqFYnQelkzLwO8stD96tkDpKg 8K+J2f/j45QOpITrkeAM111ZTeQnYuO3xwxIsGYsdUcVOYIzwdXYhAQ/+jid FJFDlw9DjjkJqIu7SnciB5NpUpttSFD2w/6pKLJ/XxaLpx0J7O6GjG9D9q4/ Tmo4ieazuVO2EdmjdGPtntMkoJ833MhA+3U2uyTz0RkSPFZ40zSJ7BR//t70 eRKIcz/n6EW2D+d3t7xIgkhm07fvyNbXvhu/90b7Vbw+XYhscHTnZp8AEhz5 cDr9HrKO/s/J9psk8A9m7r6MfED5XsP+OyTI3h8qaYsszzUWuRBBApbLh08L I0uvxF2ye0yCjNu0lGUUb6IUI4uSGBKoPwux+oXM05DJFZBEAqHutal4ZI4y u9me1yQYifHt8kFmzdnQpplBgogLWTvNkOnhbk+X3pDA6QbgOIr/AX1ZvluV JHgxVqaqj9yt3LUwiJGgWbxgHzdyu3h416E6EnzK0I/sR/lXu0KKX28lQUqe oJU3cn5ZhuC9YRLo2vHS7qJ8zcyxZY6NkiD3BRQZIL9OYO03niJBltNwzTrK /xi/cy83z5MA/E70BCEH7pMRj2IdhRvPX2ScRPWCsTS/3L1pFF4/FDvJhRz4 vbpPinMU7ORWzn9zQHY8G1+6fRQ8lbwipJBvhKdxknai8SzW1W2oPi1Z+ZIV 94yC7MCCSABykBDUByqNwuMPe2pF//f74TBujVHQ8ZtcOovqW1CvxLLWkVEI Yfv9qx/Vx6X0ud5wi1F4IH8k3A856PLXT202o/C7OMiH83+zuFw97zAKL3Ra uDVQfQ3a+3rq6cVRaH7hohuA6vHNO6K9E1Gj4NBNU01H9X7FbLpEJWYUhLf/ ui6BHMxf8SwkfhQWk+YmkiyQ809Z870ehV0V+tZR5shdSXV6H0bh8q48TgdT 5N1CJfEdo7BzqGrtuRGab34ydvjnKIQG8N5iGKL/K8t8FPpH4b30J177/33s 5F6MOAp+2wWCt6B+FBKcmDG9MAofhW3lXFD/utXOH2soMAZjDokxuaj/OQ8n v6MIj8G4p1xgrybq/39kGp5JjAEb9zQrG/LaVpU10u4xYLmfxeqI+meotZV3 uPYYaB/UuDKmgup7632z765jIOhQZhyB+rf7IJf75fNjYC/ClxyD+rvJbNxd /otjEENfDniO+v9m7oyy89fGIK0B+/J6F6rPll/l2O6Pwe1X0rqPZZgQ3Yyz mLwZA64e54A/wkzw+X1LfO7DGBDKwapDiAk20xsPJhaPAd9KX9QHQSbwcm73 nagcgx1++lpuAqhemO8betA+BsLdm4Teo/PK80aPL/W0MXD/uc22ehMTUuv7 rpnpjwPJkT9niMoA4X9q0+lG4+Ag+3oo9A8D4tSfui0fGUf99XeazBwDItKN j789Og7dZapVp6cZ4BNcdID73Dg0G1jtLx5nwKF9j5kd98ZBknipb7KfAYOJ +rcdmsbBleU9qweGzn+tL/HCtnE4rDU4Xf6VAYQN+BWOrnHwbN6pyV7FgDrf d65ffo/DTlMuaspnBrw3FzYQmx2HDI/K9ndFDAj5t7BhhGcCFlNTL5llMUD0 Qk6kh/0EPFTtELh7nwF0Yrm++KkJML9So3ssnAEdzs30TpcJMHmmdkAylAH3 7alnD3lOgH3S8RcfQxgwd1hbWyB4Ago7hgUL/RhQLdtGqUmbAJl6h+fbzzLA g0i3kJiZgGrtWrmAgwwoOm28tTtsEiglelw9IzhsLwms9o+YhJD318kzgzj4 cb7x5388CWTX0cX1Xzgc+LL1t13CJLx8K/xSqhuHz4J9uZ25k7B3fpPvoUYc vnVeMuhomYShsIZavBCHZtMY/+YdU+BUorf52m0cxtR//6p+MwXKxn8a/Plw 8C2+OVD3lQzWpVuGKjTpIPRo2kKYQgHvXyt+PQY0ENl8gRrOMgPS69cNjp1b hDL33gHv7bPAJhvU8SVuAXzERDRzdefAn0o4o/B9HkKDLvxgHPsDiYrrn3X4 5qFA+V7t89vou1539GBIzR94ZXxiZbflPDySjY3amjgHSufdtWq75+HPQ1Ni VuQstCg7K27yWgAh7TmcGjYDL1r6vxzHFyC706HNIm8aru3QXzd/gr57dq9G tfZRwDlprDf56SJcKaYaDXZT4IjYo4KZ2EWo/6A9NddJAXGZbpfoxEVQP+LJ EGylQL2SVxUhdREM9ufqhFZTQMz4+U2HokWYLf1QX/iGAj/8/tDcexdhpM/i SsRtCogQUsl3pWnwSvpZ635FChzzKPiTL0uDtfX6p+Q9FIhc/UrvlKOBtfGC WNZuCjD2DLHIKdCAQo94KSFLge4wMZFGVRrovNFV2yNCgafqSea8h2nwgEl1 SWCnANuLZ2/TL9Cg7pVQbesEGXSVMz42edJAKs91S/UYGfy+fyxbvESDDrnt +0tJZCBRO2qNfWggI3lDOGeIDN/MeAbIgTQwemkS+KqHDDdXorhUI2lA0jzF GP1Bhj8u971r3tJgmS43QcojQ+9zXz6RDzRo3KRxYiaHDF87nMquFtIALCjb mVlkeGKoyiL9iQZWk9ohO9LJsHfXcPydrzTY8+m0mE8SGTxntSp1CTSg20vc jHlEBmLwzJYynAYBCSp6yVfI0FjSW7B1iQbMp6KXqJfJUDhbc/zCCg2i357a bOpFhjuuSSkC6zTYNnvh+T8PMogbmaj6c9Dh781s5cizZHDckuaoIkYHCf0T JwXsydD5wi7vrQEdjJJ6kvkOkWHzeF7wbyM6ZKk1q7TrkkFH5Z81pwkdHlxy 5IrWIUNmYx79kjka7zsVx3eQDP7Lq4YKdnSoU3Tk1lQnw47TeYN55+nQOeNW MKdABou81cK+C3TYNkoQ7diDno9me4/9Ih3OF0qMFMuTYfLxqoKnNx2aSu9e D9tFhvIq2xu7A+jA+JbE0JEhwynJVb6cCDpY7ftyU1qEDE+9bCe6I+nw0lR/ XV6YDLVluZ/ZHtMh/9L1BVUhtJ9Hbc+4x9ChYKxMxnoHGf7ezX2/M4kOxKvT v9L5yJBCOmaa+YYO8qtfZr5xkqFLOVe06x0d5oaVKHNb0PqD/86xFtCBS9vF SwrZZ3tuwrli9Dw+X/49YicDHP5Lkq6kwzXB3LjbbChesnNupbXSQU1426+R tSnoH46yqWunw1jd8HZdZILwVWkKAT3vqEdH0r8p+PZEp06thw4e31J7T69O wevrHVz1Q+j64lwzlpUpSCj4NDQ9QocDP499912egsfkl4XbRtH+Sdq2kZam INjZ/fipSTrE3iMmtjGnwNF4OXn2Dx182njl6/ApOHZn2JtvAa3nlpGFGbLp 5+/6mjQ61KyMbumgT4Gm0tPRu0w65JSsuo/TpkBAYOdefhYchJ0Pf9m3OAXc NhyrWhtwKIjv/tOwMAUbI+fanNlwiKxJaD+PvPi3/FouBw6NX9vis+bR+sas vmijOpd/0d7zMHUKGiXUHrvy4xAfHiO9+GcKMAchl3s7cDDgsY3LQi5oIbG0 ieCQdDA+lwc5d1ND14IYDjvL3lg1zk1BCrzPFpTE4VxtYPF95CclgWZnZXHw 2LtQtwn5/txp0QdyOHzoiw5onp2CEHnD2Te7UV13/zT3DNnrFVcsbS8OW3/c 1lNAPtczf05YGZm6TWh5Bu3Xtl71Q/txWM/krGlBNr2X3hehjkP0ceHHN5H1 vz54804Dh4Qc0UJ7ZE2mVwhBC4ezSu5v1ZCVVY9Z49povXGzd/iR5S5rSInq 4SB1790+5vQUiOeILujr43ArP6lyCJl/ZL32vAEOQ4Uf5RuQOUUmEiKNcLgw KxBQgrzheLPHB2McKiJmcjKRV54UHuw6gsOwzKmqBOSF+gROphkO3WfDKx4h k1mCB8UscUiffJwZhkzUOVNgYI2D8cnkwFvI/deNQy8cxeG7XdfBYOSOAgW7 KFscpO86zvzvejKPXOFxHM7csY29g/xNlo7/PIFDOI2k8ADZY/2Th7wjDu5+ Kh9ikHkGA/qCnXAgtjt+TEEu+6xp1u6MQ9CQuGYhsksi87PMGRzG7dwM65DZ /D4rBJzDgeOzRM8g8nubm8mN53HgTTtMX0K2V9ThEvfAQSG5MUMY7d8q+98Q 34s4hOpmEHWRs8crZ2u9cDDcUVvihmxZc8tF8AqKly9SktHIiymH2i/54lBS USBbiZwcvKb/9Rrqy2/P180iGzlghbzXcZgUU98si97/tHqotHsgDjvS+Wac kLXnWDdwheDA7JZ824dMbKr1c0V9O9UkP0oMxVdk7r2xors4jH5oFT2P3H9m 0w/H+zhkpxWd/Iccqlev8T4CB8f6Po5jKH7lRR7mrkei9Um538hFDuziiMyN xgFPD37uivJBsrBpaTkGh5OeXtbVyPWPoy5Zx+GQ8+px2y6UPztMuC3pz9G5 4cYrzVXkT+XbeIzScWCI/OTuQ/nonEC4k5iJQ1NWq7cDyteN155Rydk4zHYF Fw0g2+3l74x5g8OcRA+DivJ74bVgwlAxDlO7An+aovqQdLOPTbUUhz/Dzyqn kA1OJgXcL8dhkV865zGqJ7HbRB0Uq9D/VyMej6B6sy9cQvTmDxyONMnzfEb1 qdd1OKq1AZ2L6PVeQah+3dFN+yvVjIOkntGUHqpvbXTpofp2tH9qDUe71qfA 21MuXaAf1Ys9JJv9G8nwxkpx98dpHDqVhZJLUb1N1Tv5Y2AW1ZvmP3b5XGT0 fRzmzk5F+9n8aTCVmwzB3H2ZrjT0fjalXHvBQwar1nCpravoHHY9n6N8Oxmo lr+FvbYywCbqk1qJGBnGdTd9TtzGAIW/jIpxcTL0K6o41PAx4KvE+jFRSTJU c0UkCgsyoEXjYtkzaXS/FtXtDZIMkOs+MlCE+o2G5SMuORUG3BzS1a9UQf1D 99Pbo2oMeJhW/nK/GhkkFUfMQw4wgHfA3jQf9bfNXBqRXehcqb7i9y5XE92v mcgWZsiAEtlxkX49MoRYHFwbsmOAoXN4JZ8FGWrMp+ZfBDBA9fPr1I0XydB9 KnQfWxD6n0Ux3wz1a/IlEe+rwQw4o3RrLN6bDDxRllNmdxkgGBrEe+gaGZya C4eWIxmwqm++fyCYDHSLoObTrxkwnbu22yaGDOyn+TgaUxkgO2XjuPKMDKKX 35ocyGCAmXqY+YcEMhg8HqzmzmWA6W7FOPlkMkS3GJR/LWRA5N0HnT7ofLLb aku21HcG5Gpbctiic6q2cybp8Q8GOBWJLl+pRvvvrSu11MCAbzK7beO+o/PS kyvJhFYGFOycdl9oIgPW2hkb1ssAz5ri85x96HxhnXx7jMIAvNk6oHiRDJdd 1CuPzjJg5P67cEsG6v9XWpcq0XeKZCz52+wyGXKi1/wTaAyY6dD6a8pKgcU2 Ny+TfwxYDqVvO89LgU3Df/OK1hmwqWWDNAhQQPhPwoTEBiZc7Izu2ilMAX2e hrOMzUzY8zTalV2aAraSZ1PdtjChUYjfabMcBdz3LQ+0czEhx00deNB5Mkg/ TkSXhwnx7GvqUkoUeGyj6JDHywSxLcXBh1Qo8B/kqZU6 "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV13k4VF0YAHBKERKRfU9JKEvIkheRXZEioZIoiSISLagkJbKUlH1tI4RC XST7MmQr24x1xtJg5s4g8Z3vr3l+z5x77j3nvsu5Mm6+dhc2sLCw4KwsLP// 6lgKG6hzdmFOYcC31E8F4aQ6iGLtwkybHmyZ7qUCY/wqkJY6MfFvMRfHu6lQ fKdJP2aqEysLjri+SKDC3uLgQzN1nRh3fsc7vyYqcKzvPmRU1Ym9/VfolNdA hUnLn3ovSzqx0OI2jfEfVMicUNQzzezEzLM2mAXWUkFUZEgn624nJlPY9nWl kgpLFx7prAR2Yr759z76VlCht1hDx9anEwvXKrg9+5kKcVZPtdedOzHXwJk7 /0qpwBkKB0/rdGL35u//C/lIBXLrjFaxaicWV1GWs6+QCvUiSVpbFDqxvFDn XvIHKoSXzGuWC6HnyXbN939HheXJDA1+nIBVpO+nk3Kp0Kduo+E1S8BmK8Xr OnKoUBq6cqBmjIB93GveUpdNhWuixw/4dhEw8nzTybpMKhz1XFevbyJgVQ3y De0ZVFD+9E5dooaA2SfkHyGmU4FizabeUkjAVvPlLYXTqNCQ/FFNNo+Ayeir VOmnUiFnylntZioB0zh/VcA7hQrnwkpV5aMJWIHwe7uBV1T49clD5Z4XAXu5 bzON8yUVyln5VX6fI2BP1SYfeSZRIdEG2696ioCVxuZ+aX5BBVuy0P4RUwK2 cXiqKvs5FfZr1O3TBAJ2YpVxSwx5a/jVfdGaBExQjLMwKZEKTWJNyrq7CNje 0trDuQlUyLsYoBwnTsAa5b7HayI/KJVRpvATsKysKypt8VQ4v6FdyYCLgI2+ 8+X1QjY8Gqz0YgMBe1seuHcrsv5Ba8dBWgcmZagSUBZHhZXOHIeo0Q7sYq35 1AXksstrJw92dmD5pVdviCFf2+RwchLrwDYl2on3PaPC+0ddrlIfOrCFaJGe eOTJrTaejskd2O/enNcOyNJxTb7PHnZgf2/e8JRFdhI0CWq+3oFFyZ7ZS4+l QkJydehGtw6skaT8uxW5XVLvkd7RDozW+Onye2SOrPJnAXodmCWl7mccspG8 enKBQgfGZ7+fPRT51ruCzCnBDixc9MeKP3LZ/r3vpNk6MKK1Q5YP8nxJTsmp hXbs0noZ7ouseFCmKm64HXMxKJ28gexR9bqupaUdU+uXvByBnG4g3Mb2pR3L IzXdeIX8uy6+51BuO6Y4IryhHFnAfNtwYHw7VsH3cL0f2aYtarIwtB07VhFz gRWtL9J2M5V8pR2jiBQoqCDX9oQxZU63Y6HXXAwvIP879W/dyawd275BJDMd +eBwEEeCRjuWzO1sOIrs50bnbZNtx/i7MgT2ov2e9JqRgX9tWMszWeVWZGmq x96g6TZMafG0y270/pz8R9WK+tqw1VqWpAjkjpBfh3cWt2FWsdabTqF44GQ5 YeWc1oZltp+Ua0E2vk+wT3zShh31j959GMXT5ycNF9g92zAXf5MPxijeFnkP +xjYt2FxvHsk25GVEr8F3jRE93+xYuGC4jUjpfThjFgb9olPregJiueogqw3 HYRWzJpvU+4+FP91alLFHN9ascgHCTPjyGtlyRWG71qxz9ommemvqeCPPWsp edCKqc+k6O9B+eRMuDv3QqcV89xtcOAGysfn9n9xgnwrJmHgzeaI8pXQH7i2 ZUcrdj9769qhLCqYkK5su0VtwYTN1yxFUL7vWzyteja7BeMa++zB/YYK6/wH A/bwtGBR0YaHh4qo0P3PjTN9tRl7XVdxd6mYCvlT0WlCM80Y63Vqs9AnKthV jjVtbmzGnNVTrruVUSHbLUZyIqwZC1t+6CGP6ptZ0WRDBt6EpRqZOnuheij+ is9FZLwJM5X4kPG9ngoL9/UWY7uaML4aYqJ0IxWSHePEQwubsFtyntcnmqkw t37omuulJqw0hXwlGdXfOJtEUbGhRkzwa0bQ+0EUfwerC+NaGrGKPmkB/WEq 6MrOGHNWNGIpWdocP0eoMI4b+C4/b8QcXtlObh6jgmbK7Pe+Y42YrHTrn0QK FQZmDl9JqGvA0s8p/bJiUkHu0SK29X09lhdzoP0O5zyMsKWeHUquxxbxZ6n+ XPOQHGrO+uFRPXZqkaPuEvc88AalG1l51mPsK42bnXjmYdXD5keUbD32zVlT y2L7PPw0ftvM/vIHVjbwN91TdB7CWdx6WCPqsFsekvJRimj+G53T+JlabGC+ Due3nQfh4bSEY9a1mJv8cuJlu3mwM/bRf6dTi13X4zpWd3we6ni54s7uqMV6 ifJcN0/OQ/4bY+2W5hpsg8KAD/X0PPgNlD9M16jBnmiQQ3k852ETpMpZclVj kbLZnlx35uEkd2+VwZVKLCGfx6qkYB4kGJV/B74UY+8VHG1P8i0Ap/6+JOaL TGzYO3Znw/0FkFYJDPxiJIeVW5Zja38XwLJ8IGBCJQM2KLydivBZBMMSGcNw vAiuXpZYTptdhIKvmb6WJRXAnmWeV+1Ggxtecz4PM2sgn9BzvK6HBg97bYZy zephmZEpcu0YHdYHeqV2pjVDJOysasXoMGmYLTJk1wFjPewZA+o4iL/IFbFY 6oSlffoCjWk4LJ96ymsv1Q3PdarO9f7DYWub8Njq9V44TdzlqXGaAb1PyqS6 M/shmN70qTafAc+fCi2ZvO+HbBEeztU3DDgZG0QoL+2HvvqIuAPv0Ph4nbBX jf1woKVCJ+sDcvK3Ubc//aC8fKcvsBg5vz5nQfsXqPZs/MqoRK7rVdzW+QvM J125T7Sj+eu12MJ+/4Innavp/h1o/sakwcWxX8DPV3PiGQGNb3GK7mX8AtNg J4nmLuSu4T8p4r/hnZ+sgGofMnGySOnibwiajBPtHkFeZWhZrP+GgiN77Lzm GZBV+oIzlmMAnAxc+DwXGHDV5+BQD98A3I91nnBbZMAW4s3wc3IDQL+9tcmB zgC976utQeYDUBR711tzCV3/aINbXvwAED8ORtevo+sFeZ6w7RkExzLdJ8o8 TDjUUeBqoToIiwr8L7m2MYEz8qhqrM4gCBgezSEjZy/H9opZD0JCltmXND4m 9A3yy6j7DcKM3sMq1h1M0M8SKTtXNQgmtJqkBDEmcKnsIn47NgRFVbZ28/Jo Pk0f7wunkA2lj6TvQdYrX+JyG4L9nm9Njiogm5nznfIfgiNHnC+83csEjrNX jGiJQ2ChJbPjhDITNseWZssPDMHGpYicEDXk52sq7WND0O4fyy6uzoRNr02/ Xp8dghQnlsuVyGz5v3pq/g0BWeyOOvMAEzZW/9vsLD0MKUcHP7tpMYFl3uRS 7IVhkK6o37BFD5nxFNf0GYb+WD2ll8jrf/vChgKHoeytmNWeQ0xYY/dK3hs5 DDFm7N6H9ZnwT+ppS93bYbB+tl/oigETVo72Ki9ThwELSfONNmYCXuixeC54 BIp+93SsWjKhzEBypfbeCHwruhjob8WEwM4eVrnoEVjZxWwgIy8tGvNNpo2A zA+Zix3WaD6NnSpeP0Zg69KlsCdHmVBR/1urpX0EgroS3ZeQQxziQKl/BB75 06fdjjFhNYj16J/pEVAWOjKkbouef4iqqc1BRH1rWeuHHRPO5rZUULiJUD7X umP3cSZU++TpJ/MRgapUF/0AOXTd9chfUSLMiNwwNbBnAqtM+4mvykS4u/Fi TfYJtH/u768bHieCf7VByx5HJrgrRS4tOBDhJO845odcRz9/K9OZCL4vBfQq ke8/ELu/0YMIKp036k1PofeTFxX/IwiNV6recNSJCR6+HkKBt4ng+OoIfzRy vZbRq93hRPDU2pbZhBzRuJz58DER4q/WaOifZgL79MVi81QiJOrt3LHDmQkX i401VzKJcOHSAeYR5MZg6Yq3eUQQLNezuYEcydVfw1WE1r8/+uRPZPLPEpOq UiIYPQ/ftI5s9jqmybuCCBZF9XIKLkzYomza2fadCBT8Y0EQshcue+JOIxEG nRMEU5Gbv67172sjAvmNCaUGOcqmjBjTSwQ7qbQmNlcmTAvGuRsMEEF9MLp7 J7LFyBXy/AgR1PL7jA2Rua7umrelECH2+ZZjN5DZzvQQiueIwANXjj9FXrN+ UMS/SAQvTGk2C3lJTyPuOoMIw0eURD4jLypO+PWsECGH7divZuRZ0cTjmutE WJK/pTiIPLHF5MCLjSTgIybwzCIPL9EFlthJoOB8J2wFuX8qG3fkJkFIi/g9 9jNM6Oq17/3CSwJDF/vt/MitP9jKRXeQoMRgyz4J5PpPn16EiJCAO0eqZxcy luUeNChBggdfQjYrI3+OEzh1SJYEpz6w1qghF4fVaafuJkFNYeJGLeT3V6+L ru8lAZMq1qaNnHtG7u+Z/STQSAkS10VOt+keqFYnQelkzLwO8stD96tkDpKg 8K+J2f/j45QOpITrkeAM111ZTeQnYuO3xwxIsGYsdUcVOYIzwdXYhAQ/+jid FJFDlw9DjjkJqIu7SnciB5NpUpttSFD2w/6pKLJ/XxaLpx0J7O6GjG9D9q4/ Tmo4ieazuVO2EdmjdGPtntMkoJ833MhA+3U2uyTz0RkSPFZ40zSJ7BR//t70 eRKIcz/n6EW2D+d3t7xIgkhm07fvyNbXvhu/90b7Vbw+XYhscHTnZp8AEhz5 cDr9HrKO/s/J9psk8A9m7r6MfED5XsP+OyTI3h8qaYsszzUWuRBBApbLh08L I0uvxF2ye0yCjNu0lGUUb6IUI4uSGBKoPwux+oXM05DJFZBEAqHutal4ZI4y u9me1yQYifHt8kFmzdnQpplBgogLWTvNkOnhbk+X3pDA6QbgOIr/AX1ZvluV JHgxVqaqj9yt3LUwiJGgWbxgHzdyu3h416E6EnzK0I/sR/lXu0KKX28lQUqe oJU3cn5ZhuC9YRLo2vHS7qJ8zcyxZY6NkiD3BRQZIL9OYO03niJBltNwzTrK /xi/cy83z5MA/E70BCEH7pMRj2IdhRvPX2ScRPWCsTS/3L1pFF4/FDvJhRz4 vbpPinMU7ORWzn9zQHY8G1+6fRQ8lbwipJBvhKdxknai8SzW1W2oPi1Z+ZIV 94yC7MCCSABykBDUByqNwuMPe2pF//f74TBujVHQ8ZtcOovqW1CvxLLWkVEI Yfv9qx/Vx6X0ud5wi1F4IH8k3A856PLXT202o/C7OMiH83+zuFw97zAKL3Ra uDVQfQ3a+3rq6cVRaH7hohuA6vHNO6K9E1Gj4NBNU01H9X7FbLpEJWYUhLf/ ui6BHMxf8SwkfhQWk+YmkiyQ809Z870ehV0V+tZR5shdSXV6H0bh8q48TgdT 5N1CJfEdo7BzqGrtuRGab34ydvjnKIQG8N5iGKL/K8t8FPpH4b30J177/33s 5F6MOAp+2wWCt6B+FBKcmDG9MAofhW3lXFD/utXOH2soMAZjDokxuaj/OQ8n v6MIj8G4p1xgrybq/39kGp5JjAEb9zQrG/LaVpU10u4xYLmfxeqI+meotZV3 uPYYaB/UuDKmgup7632z765jIOhQZhyB+rf7IJf75fNjYC/ClxyD+rvJbNxd /otjEENfDniO+v9m7oyy89fGIK0B+/J6F6rPll/l2O6Pwe1X0rqPZZgQ3Yyz mLwZA64e54A/wkzw+X1LfO7DGBDKwapDiAk20xsPJhaPAd9KX9QHQSbwcm73 nagcgx1++lpuAqhemO8betA+BsLdm4Teo/PK80aPL/W0MXD/uc22ehMTUuv7 rpnpjwPJkT9niMoA4X9q0+lG4+Ag+3oo9A8D4tSfui0fGUf99XeazBwDItKN j789Og7dZapVp6cZ4BNcdID73Dg0G1jtLx5nwKF9j5kd98ZBknipb7KfAYOJ +rcdmsbBleU9qweGzn+tL/HCtnE4rDU4Xf6VAYQN+BWOrnHwbN6pyV7FgDrf d65ffo/DTlMuaspnBrw3FzYQmx2HDI/K9ndFDAj5t7BhhGcCFlNTL5llMUD0 Qk6kh/0EPFTtELh7nwF0Yrm++KkJML9So3ssnAEdzs30TpcJMHmmdkAylAH3 7alnD3lOgH3S8RcfQxgwd1hbWyB4Ago7hgUL/RhQLdtGqUmbAJl6h+fbzzLA g0i3kJiZgGrtWrmAgwwoOm28tTtsEiglelw9IzhsLwms9o+YhJD318kzgzj4 cb7x5388CWTX0cX1Xzgc+LL1t13CJLx8K/xSqhuHz4J9uZ25k7B3fpPvoUYc vnVeMuhomYShsIZavBCHZtMY/+YdU+BUorf52m0cxtR//6p+MwXKxn8a/Plw 8C2+OVD3lQzWpVuGKjTpIPRo2kKYQgHvXyt+PQY0ENl8gRrOMgPS69cNjp1b hDL33gHv7bPAJhvU8SVuAXzERDRzdefAn0o4o/B9HkKDLvxgHPsDiYrrn3X4 5qFA+V7t89vou1539GBIzR94ZXxiZbflPDySjY3amjgHSufdtWq75+HPQ1Ni VuQstCg7K27yWgAh7TmcGjYDL1r6vxzHFyC706HNIm8aru3QXzd/gr57dq9G tfZRwDlprDf56SJcKaYaDXZT4IjYo4KZ2EWo/6A9NddJAXGZbpfoxEVQP+LJ EGylQL2SVxUhdREM9ufqhFZTQMz4+U2HokWYLf1QX/iGAj/8/tDcexdhpM/i SsRtCogQUsl3pWnwSvpZ635FChzzKPiTL0uDtfX6p+Q9FIhc/UrvlKOBtfGC WNZuCjD2DLHIKdCAQo94KSFLge4wMZFGVRrovNFV2yNCgafqSea8h2nwgEl1 SWCnANuLZ2/TL9Cg7pVQbesEGXSVMz42edJAKs91S/UYGfy+fyxbvESDDrnt +0tJZCBRO2qNfWggI3lDOGeIDN/MeAbIgTQwemkS+KqHDDdXorhUI2lA0jzF GP1Bhj8u971r3tJgmS43QcojQ+9zXz6RDzRo3KRxYiaHDF87nMquFtIALCjb mVlkeGKoyiL9iQZWk9ohO9LJsHfXcPydrzTY8+m0mE8SGTxntSp1CTSg20vc jHlEBmLwzJYynAYBCSp6yVfI0FjSW7B1iQbMp6KXqJfJUDhbc/zCCg2i357a bOpFhjuuSSkC6zTYNnvh+T8PMogbmaj6c9Dh781s5cizZHDckuaoIkYHCf0T JwXsydD5wi7vrQEdjJJ6kvkOkWHzeF7wbyM6ZKk1q7TrkkFH5Z81pwkdHlxy 5IrWIUNmYx79kjka7zsVx3eQDP7Lq4YKdnSoU3Tk1lQnw47TeYN55+nQOeNW MKdABou81cK+C3TYNkoQ7diDno9me4/9Ih3OF0qMFMuTYfLxqoKnNx2aSu9e D9tFhvIq2xu7A+jA+JbE0JEhwynJVb6cCDpY7ftyU1qEDE+9bCe6I+nw0lR/ XV6YDLVluZ/ZHtMh/9L1BVUhtJ9Hbc+4x9ChYKxMxnoHGf7ezX2/M4kOxKvT v9L5yJBCOmaa+YYO8qtfZr5xkqFLOVe06x0d5oaVKHNb0PqD/86xFtCBS9vF SwrZZ3tuwrli9Dw+X/49YicDHP5Lkq6kwzXB3LjbbChesnNupbXSQU1426+R tSnoH46yqWunw1jd8HZdZILwVWkKAT3vqEdH0r8p+PZEp06thw4e31J7T69O wevrHVz1Q+j64lwzlpUpSCj4NDQ9QocDP499912egsfkl4XbRtH+Sdq2kZam INjZ/fipSTrE3iMmtjGnwNF4OXn2Dx182njl6/ApOHZn2JtvAa3nlpGFGbLp 5+/6mjQ61KyMbumgT4Gm0tPRu0w65JSsuo/TpkBAYOdefhYchJ0Pf9m3OAXc NhyrWhtwKIjv/tOwMAUbI+fanNlwiKxJaD+PvPi3/FouBw6NX9vis+bR+sas vmijOpd/0d7zMHUKGiXUHrvy4xAfHiO9+GcKMAchl3s7cDDgsY3LQi5oIbG0 ieCQdDA+lwc5d1ND14IYDjvL3lg1zk1BCrzPFpTE4VxtYPF95CclgWZnZXHw 2LtQtwn5/txp0QdyOHzoiw5onp2CEHnD2Te7UV13/zT3DNnrFVcsbS8OW3/c 1lNAPtczf05YGZm6TWh5Bu3Xtl71Q/txWM/krGlBNr2X3hehjkP0ceHHN5H1 vz54804Dh4Qc0UJ7ZE2mVwhBC4ezSu5v1ZCVVY9Z49povXGzd/iR5S5rSInq 4SB1790+5vQUiOeILujr43ArP6lyCJl/ZL32vAEOQ4Uf5RuQOUUmEiKNcLgw KxBQgrzheLPHB2McKiJmcjKRV54UHuw6gsOwzKmqBOSF+gROphkO3WfDKx4h k1mCB8UscUiffJwZhkzUOVNgYI2D8cnkwFvI/deNQy8cxeG7XdfBYOSOAgW7 KFscpO86zvzvejKPXOFxHM7csY29g/xNlo7/PIFDOI2k8ADZY/2Th7wjDu5+ Kh9ikHkGA/qCnXAgtjt+TEEu+6xp1u6MQ9CQuGYhsksi87PMGRzG7dwM65DZ /D4rBJzDgeOzRM8g8nubm8mN53HgTTtMX0K2V9ThEvfAQSG5MUMY7d8q+98Q 34s4hOpmEHWRs8crZ2u9cDDcUVvihmxZc8tF8AqKly9SktHIiymH2i/54lBS USBbiZwcvKb/9Rrqy2/P180iGzlghbzXcZgUU98si97/tHqotHsgDjvS+Wac kLXnWDdwheDA7JZ824dMbKr1c0V9O9UkP0oMxVdk7r2xors4jH5oFT2P3H9m 0w/H+zhkpxWd/Iccqlev8T4CB8f6Po5jKH7lRR7mrkei9Um538hFDuziiMyN xgFPD37uivJBsrBpaTkGh5OeXtbVyPWPoy5Zx+GQ8+px2y6UPztMuC3pz9G5 4cYrzVXkT+XbeIzScWCI/OTuQ/nonEC4k5iJQ1NWq7cDyteN155Rydk4zHYF Fw0g2+3l74x5g8OcRA+DivJ74bVgwlAxDlO7An+aovqQdLOPTbUUhz/Dzyqn kA1OJgXcL8dhkV865zGqJ7HbRB0Uq9D/VyMej6B6sy9cQvTmDxyONMnzfEb1 qdd1OKq1AZ2L6PVeQah+3dFN+yvVjIOkntGUHqpvbXTpofp2tH9qDUe71qfA 21MuXaAf1Ys9JJv9G8nwxkpx98dpHDqVhZJLUb1N1Tv5Y2AW1ZvmP3b5XGT0 fRzmzk5F+9n8aTCVmwzB3H2ZrjT0fjalXHvBQwar1nCpravoHHY9n6N8Oxmo lr+FvbYywCbqk1qJGBnGdTd9TtzGAIW/jIpxcTL0K6o41PAx4KvE+jFRSTJU c0UkCgsyoEXjYtkzaXS/FtXtDZIMkOs+MlCE+o2G5SMuORUG3BzS1a9UQf1D 99Pbo2oMeJhW/nK/GhkkFUfMQw4wgHfA3jQf9bfNXBqRXehcqb7i9y5XE92v mcgWZsiAEtlxkX49MoRYHFwbsmOAoXN4JZ8FGWrMp+ZfBDBA9fPr1I0XydB9 KnQfWxD6n0Ux3wz1a/IlEe+rwQw4o3RrLN6bDDxRllNmdxkgGBrEe+gaGZya C4eWIxmwqm++fyCYDHSLoObTrxkwnbu22yaGDOyn+TgaUxkgO2XjuPKMDKKX 35ocyGCAmXqY+YcEMhg8HqzmzmWA6W7FOPlkMkS3GJR/LWRA5N0HnT7ofLLb aku21HcG5Gpbctiic6q2cybp8Q8GOBWJLl+pRvvvrSu11MCAbzK7beO+o/PS kyvJhFYGFOycdl9oIgPW2hkb1ssAz5ri85x96HxhnXx7jMIAvNk6oHiRDJdd 1CuPzjJg5P67cEsG6v9XWpcq0XeKZCz52+wyGXKi1/wTaAyY6dD6a8pKgcU2 Ny+TfwxYDqVvO89LgU3Df/OK1hmwqWWDNAhQQPhPwoTEBiZc7Izu2ilMAX2e hrOMzUzY8zTalV2aAraSZ1PdtjChUYjfabMcBdz3LQ+0czEhx00deNB5Mkg/ TkSXhwnx7GvqUkoUeGyj6JDHywSxLcXBh1Qo8B/kqZU6 "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV0H1UDXYcx/Eopwez6vr9UMqlu+u4N93mjLqb8o0WdUjzLFYJPexOEcni Oik9sBV5uOq6lZVOejJEG0b7MpKHE7PQk+r2MGWoKL+fRttvf3zP97z+fH+m rN+8NGykiYmJv7j/v8eBgmk3bBiE5F4Is3AieBlONXcLL3w/lCIXVveXZY6x ZeBnu6NonvBnyyv5SuGGcYnPtMJK+5qaHuE6aaWmX9iu6GWk9VgGDtHfxjbK CL69qi5ZQxnkO0foy+UEz76sVfTbMdilNCiWKAje2teOHTIGSedsotUzCA79 3qRzcWEwkNHpbFATvLvbptrXjUGT3NO3EQh6bZuervBicEvx0PviAoIPLFSZ oX4MitadDbUNIGjWOE4ZsoyBPN2kzHIVwceK2VJVEIMvwky3tQQTvGHns3R5 OAPz6GxTVTjBlT5uE722MDhSnid1jCZoajvGaW88g9VVex6nbie4eK00OSuJ ge8i/7P3tAQ9jRO0MekMRnSdiK1IJuhrzs8V6Bj0OgdrJemiN7Jqt/4Eg4zR aVckRwl6+2FhaAkDkpEMvQaCZbdPWSZWCDe8KfU5SfCXlDiz8CsMsoytZzzK CLYYlZ4FNxkYxss2n64gWBJfPbrwPgOdd+K43y4TlGTmztrRwMBoN6Ot/DrB rPlrcvPbGahtwyzIHYKoHj5+6AUDl72wy+Gh2ONu2uP6QdE/95VjXgPBv5oW RfUPM7itP5jyTxvBTdPe6e9bcOCSoOyhboIf0x/MRkk4fLX16Z6tfQSXeZqN MnHgcOjrrg3pnKB758V19+Qcnj7yn55kQtHNedlQr4rDpMDCqD5zig2n6xQN ag6hzW8/GmFDMevB7Cy7eRx0QZZv94+nOBDTEuK8kIPVoFP4q0kUBxdHVo1c wWFib65ucCpF23tP1swI5nC89P75WBXFP5JVGfJIDp5z4ozH3CiWP9V82BLD wdpLUvvpHIpTK9trMnZyKD08KC3yoehdM1e5JZnDJgtjR5U/Re2u1NslGRxm zjVYBaygGKipGC7O4iCXRQwkBVGse2J3MD6fw9/StI2HwyhqusKD8ks5FDzJ q58QRbFQZbh24AIHifPS7d7bKQ6Nr9zw51UOpo7Xuzq1FF8lWIX2VIv+M7ba 0GSKqbIFAzcecIg6oclLSqf4ecQ3N1kDBxeXWHf7oxQzlZ/UT27kMDI5e4qH cPfLlud+wjuDmkcHCx+LXW6TIyzVX2/LF36dCGu9mjjcVVumK3SiP4f272vm oJyf0K0+RlH68JqDfSuHvvfWl1ZlU4zTaV29hcut5KfihWtXu8/bJByRH6gz CGtbyyOqhH/UTNnaKlz/IqtifRuHX2OcXSL0FA+bR/uWGcW+CYqSuOMUe+5M W1snvHemuz5b2OtAR9QHYVncxv2XhXtJ4JGAdg7n8xw1w8KLnL5seSOc872V S6qB4smu4T6HDg7DRWRSsfBQ8SXT+cKyJXOs7wgXu7oqsoUTAvr6x+RQ/Pd1 z+xrwg6F33W4Cq/8uXDxc2HftMmPlgj/FB8SOraTw6x3z6q3CY/ytI/1ECZD tRd1wv8B85BjCA== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV0Xs0lXkXB3ALvRMzJtfJcUyMwcsxuYWSyzaoGI1mkdwdIowS3k4uOV6V U9SLTOUyhThDkUsyodHwY4ijTM6Tu3I7dw0q0fOkSe9v/thrr8/aa6+11/5+ dTjB54i8nJxcPK5/umM+16RXlQRu2s1is1EZtMOt5zJsaQO7rZ0jg12v6wpU 1EiYqPo7k3NABq3cJndr7HdMVkGHoQx2HGyhDmGv2fhNr36UQtOm9vp07F63 l/5Ws1Iwb+sMr8B+z32qHtYtBYYOj7eA/XGxyF8jVwo1jwfZn6uTUDmc2T9+ QgrGGYTlDuxfZV5jcyFSMJibKmFj79BZ2VC3lgLt5lLsFg0S7okdxqfFEijy X9G1wfZKFsf5jUhAU4nkB2CHayof/L5HAqrH5Oy52CEBHPUirgQ2W2so2Wpi h1gx7h6RwNuOXbVBWtiql9+nvxMDK8EpNBM70NlYaW1RDCv6rmpV2LIj1tvL 58SwlOWVtoQdjRrPp/LEIPIM8zz9BQmiankW/ZoYhkezFqq3kpCekhw54yaG pqUnpq9pJDjfjlrsui0CXUezVW0dEuxNWOlfVorgwsXsThfsgNnoc/nFIjj8 bxffAmxbFk+7niMCjYi7bAs6CZKAqH08pgiSR64MxeuS8MQru9CMJgLHBwEn X2wjwWXaTZNVJIQapRZQ1yNBWd/qSGO+ELQC1JR3Y6fYHGW/OS+E5dWB8gvY G/RGj7IUIdwwd+CZ6JOgt3x4NC5QCPLcL+kxX5GQwRfvHtwmhP4cQZfwaxK6 swg33h0B3Iu3k202JGFL80xoTq0AKnwubjHHlrVaJXv/IoBTutZhqdiRlikh i0UCMG868/4zIxI+2HcbxP9XAFfH9e3sjPH+lKvGSW8BhBsz63JMSFCKVR1x XpmH9Z5nhdu3k2C2OP978N55eJyh2udhR4KN9R5ONW0OXE58k2vqgv999MPW 795MA3+zeUGEJ85Dzn0L87PnoDj1BYPpS0JXR8i5BaMpGDN10DMPJeFpQ20M FTsBvbQ9PgejSYAfrvecnh+DQ3vs6C6JJPB3Wx7w9x4FBTUVg6w0EpiJBhVr kmHwDtbjFJ8lIeuHgozQq0/BaV6bnZRLwtzxu0SUNQEen1B3uYUkyBkO9cRK huBtbGfGzzdwPpF+dvP7/gQ3z66qiFoS1Oqb0hUGHkHdwC2lM80kjH7DSH/M 4UHbuWTF6N9JUBdNW0i29cHMPMOJ+5CElfU8ic7LHqhN6/u0aogEus+eloay blAvKLNNmSRBO8m7Oq+vE4r3BpVVCkiwtHO2P9rcDl27Nq79tIjv8ZksqAtq BcXH2WMTayR8t6x4IzqsGSTP9se/3iChbdrmrM+nDXDM5N3PQ5spyBMxhk2H q+Bzrf8pblKnYMnMV9425xr4OiluktOlICTCtlyliwM7RffDB40o0AwsnSU0 TyI7M9/1l+YUlFganWU2XkGTDSOmk7so+I+V6M8rlypRMd+hmOZKQelp2sTO OzVoNWmGaeZFganjJaFyyR205h3bKe9HwbSpZu6tM78itcHxIKswCuaqJ5Lv L7cigmOeZxRLgWp5oaFjaTuqn477kJhEwfp7QZaOQicybhHw8k5RYBzRJuis 6UJuvG8ZiRwK/mpSeD6c8Adip58fqM2jIPzl4k/yWr0oMK55o6aYguLTwf4d kw/RyDjtUlolBf7SbYXVl/tRnDg6tPI2BVHX05aFjAFUZX69O/8eBc7Nri9C BI/Q+taWyOEOCoLeHp/kpQ2i5UzliIU+CuiJSpll/3qCzn+9b7WXj12S7h7R PITsY358SE5S8NtxQTTnBh8VMAwn9KcoSLCp3U9y+Ui2NPPCEzsyah897iYf FbEOqpZi7+2nnTjQwEcrZyDY5RkFzHWOCu0BH9WXar3OeU7BOF326tYYH+k9 7dbVmaXgQaRt3j0VAiUXsi3csPuH2IWGagR6ErDT9Rh2WebW7KuaBGLP1sd0 Yhvz/YxZdAJNLBY3H56jYMo53M/alECXPznuUTdPwXL536m33Qm08MgkeARb 5b6zNs2DQC75wvgP2EX1qpXZXgR6qRl45YCAAun3JxKifAi038B95g12xamy j7rhBPpFvPFKV0hBbirvr4uRBFqv+U1hL3ZHWWU3FU2gGgsL0xLsqax4xkg8 gT6uLDh0/zMfj+n4NolAh1qrvF9gD6fq7b7DIlBjGjNCQ0RBvWVJhW4qgTY5 6bAcsUt4o68upBPo/3zijsg= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV0nk41mkXB/Cn5/eTLftDSJaKsYSZlFTMuaMsjak3TEmyzWtJsqeEZoqJ 7CpJKEl2MzKWyptUEkOWPNmSZJnh8cgSfneIud8/7utcnz/OdZ1zvream5+N O5vFYsWQ9/9qnJijWS/JwPfubOm8uHF4DPn9Y8S7rJaar/WPg9FMcbKYFAOj PQWT5tI8qMop27eNeNHnaXesCQ8M7CrxEeLoY09S2914UCbwuCSMeKOyuqFU FA/0qmtdsom59J581xweaCs2No4TL/+qM57Xw4OC5pZwcWkGlCLudTnP8EAj ouNbA2K/0loDrtAEbBrsuxlObJ6fy8naPgEKeZNeEjIMSJiMcJouTcCNo7NK 24mdJAZd265PAEeYabcnzu2S8fopbwIkfVi7cohVq7OqhRonQGibjPAODgPb dw/+9vdaPiw8MSp0kGWgFO1MkjzLh2A/kxO/EHc6uHvKRfFhVtVUKpd4yGZx Fz+ZD5ORP4ROEts9il6WKOLDiJWT1a9yDNyx2yvl3ceHzreR4/fXMyDqK/F9 7vZJKJts1ZpRYGDO7KxL49tJUDLWmZNXZEBexTOX+TAJV2KjaxFxnP9YhDRv Ety+QbbJxOYtJgvrViZBxvVBuP4GBuxFq5+qqX+CEO61ttNKDPg4pXO2+H8C 4xr7MzxlBrJWV8srlz7Bq5ihuuHNDDibupcenpuCitOGY0JbGBAYYTXIL01B tk2shB6xaeIXzGdNw3mlbU7niGuuZ7rfF5wGvbKLS+vUGaC25evOcabhereq oaEGAzFr0DZJ/Wlw0XAujtFkoFjYeiHAdRoWX7xL1dVlwOyQ4++iddPQHCHZ YGnIgLbkutUmzxlAQVvjtRAD52cbv7MSnYV2Ib1kVysGjFGQXGfaLNB9ctrO tgycy7nWEKnxGbq09qjonWBA0VFXSrv4M9Qr7Lex82Bgxoa6VqI2B0f2G25A /gz8mV7oeytrDigpsU2RoQx02cRENIrNw8HjKlFplxh4bzsmKhI6DyYf5cMD 4knebf1XhnnzYCmIH+SkMmB0a5P4N7YLsOBVG5F+h4EMxZF4z+cLYGZVl+ta yEDIjzmOWnpkz6Z84YvlDDwJEd2akcJA9W8htMf/GGgVVa5PWmZg4KO2Sc5L BlKcrvJrnTEUhjaI5rYxwMnsV3n0Fwbp5KwdZ3vJPb30hgIMvkCauUPW3SEG LNNldQVTv0Cd0cqtFD75f5rx2oMrX4Buju7qmSf5W9x/O+q6CH+/sz49s8LA /RdxidYvFsFH80t6mxCG/3Av9IXpLoG4bBwtII1hzYH2qR0pS2BrQguwlDA0 7S631lpZgp0jD11a1DGI6HM09LyXwVDHdnFKD4Pei6cG69qXobeUq9VrhEEi IqJzCr5CWvueNAVTDJpnDXi8wq8wFzDgrPMDhpjcgMVgmRWYP+hVy/4JQ9+q Dp8TswJSLd0O3zlheCV/1V6dWYGOKL0EdS8M8tOxco6Bq1Dy3vurfwDpf4cL AsZWQaNyqDHhPIZEtaadtfosZNa4V9s/CoNYxCYp30AWCg+73FSYgGHgzM4G 1p8sdMy7fKUgDcOtB5Ua7GUW4nYrJIXexVBTo5bibrEGeY96nLhbhKEUd1l2 pqxBuXoZzxIrMNwYUx02HluDFtdX/tz5BIP1dXERNmKjT7+IuI43YEiVMRt1 u8NG4YFH2yRfYagLMtyw4S4bibrnmhgRi0cM2nFz2EjzwPeK0cS6ttr9Vnls 5MoJ7NzSiCE2+vC5vaVsxC3o3e/ShEG9bJD73xo2etxRoN3dTObLVg5L6GEj y/r5myvE/DKPZu8+NuquMhXUaCF5rK8ItOpno7mM/uFg4khHD67IIBvpekhm Sb/GsEH6hPntf9goe/GsxMFWDM8N8LIIw0aXN1vM1bdjcKXs6+XXUyi1JO7p OLGfxICxgAKFcne0x4p3YLj5JunYZ0UKPbM4pmZPzFX3T+EqU2j51KmDE8TN KYHhxRoUCqpIKpDqxPBjkZF4mSGFXPb3ODq9xbDWytcF7Cnk16qkGUmccNwi 85QDhS4cdf2cT5wi+OHQLUcKZZzkXZkhtmU1ma26UKgrYbkqqgvD7cQm97GT FLLuUpUq7sZwcrREbm84hXZ5nnzJ9GIwtclO8L5HoWTtLT2qfRgsJctKD+RR aGxygGdF/KBUWf/bQgrdCLaTzCT+FFs0KvoHhWYvwnH0DoP97g5ZkRoKlWTK zsT0YxiradpnwaUQ5dJOlRPfl3s1mtxNIYfNcXLviH+uiO0d6qOQcBHLWPc9 hqDNJcPZHynkUT1xuYO43VROOnGKQipvnikpfsAgat7xIlKMRiGp4fpmxFvr wyovSNGo1X6nqQ+xn4qz0hVZGoV/KPGsJV6Jb0hq20ijHn5audsghlP8CxtN 9GmkX2bzMo74pcrNf14b0OhykFhPBXGluNLrECMa7Vi89HXtRwyZJzlX15vS 6Kqgr2UxcUZflWPHERqN/6V5nEus+KY0wMmRRihx+PRXYmFh/9fybjSa4hy7 dmgIg0dblIOWL43Me2TyzhFXROtYxgfT6HZG68O7xF3Nzz0Mw2hkvWnfwGdi VCVelnCFRvdGV6aVhjGkj0dsdEih0WLBI8qcWFDnffkf6TQ67BMs50csZODr VZZDowJ9fa2bxDEfJmWSSmi0Oju+5xmxSk+R3e1qGh2pyj3II76ne+PhmXoa /R7q7CozgsHOPqvOl0sjARPFYGNih7BdLQN8Gv0Lg0YqeA== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV1Hs0l1kXB3ANz/P8fo83uQwh74RSLsVMFplczo6IEkNRKLcZMlI/t8Ik JdfcQq9RSb3KFFFJKSRRSEOi3IlQyn1cn+M3pTnzx1l7fdY5f5z13XttFU+B vdc3IiIiQeT8W41SrqrXSHKobGt5dpm4OJSjG72fiLW7q8uvEBtMF6Qul+LQ +E+RrTHEuntKsCPxIyr4ix2xpmJ9/QhxYbCD6igrDgrXJ3xWyHBoPsQpR4F4 4bFBvrMsh8TCnAKO8sShaKJJY1qBQ8bf1yNlShyexw9WDa3h0MHyU4U3v7Ag fNaTsXEjh7LvKm3yWWCh4YRknaU+hwatG3yXTbEAQRuSNIBD/XcWDa4Ps9DM 0071sOJQZHvuo/g+FsS65TTddnPo46y8hmcbC+0ahqu1D3Bo9FSnLNPIQo2C uf0ebw6drjWRn3/KgqO5/irw59Cy6zKKFaUsiEotV40K49AO4X/vNt9mwcZl dXTmaQ6ZeK5oLstlwXhAPjwgiUO3R3uGnS+wYMngu1czOBQ2qarrkMLCgk/l iQtXOLTT+kTfaCQLZlZVuR75HJptC002OspCwYsb/MhiDoVPad2d9WHhYcwx Me8KDm3aZauyyoWFvgFN46u1JK+Kpj8LdrGQH1YnnvuKQ41vxwRxJixIp2br hXSRfm3KYcR1WMi0cM7OGeRQMvcwTVSZhSqDpYtp4xwyiPm4fvkKkkdDXHvn PIdujaQJkpf4MNxjfXh6iUPHfhOTK5vgg5/64oVXPIwGFyWTirr5ICGbKEZJ Y7T7uWvF+no+7DYWo0SUMNoQmmqhdY8Pm9+XujeqYXSsNerH89l80NfaLZzS xoj2eOKWEM+HrlutGl0GGIUOrQ3M9udDZrNhpoIpRp7bk1Q2OPFhLqDPTWsn Ro1Njmckt/Jh3san8hsHjOq+tmXHqfFBqrHD+QdXjFzfca1+LB9aorWT1Xww 2iaImHEY40HhW98v/gEYeVW4ZsQ08mBdyWB98m8YRa37GCko5IFZ/VZN/2iM lKo4ZYjjQfjx2Bf5yRiNW/I0//bggZNv8VJeJkbed3Q77PV50NqhcDYsB6PK NrPuKIYHvh+8D+TcxEhX/J5WUgcDudpZ1Sn3MbLbmW58OZsB4cqSn988xqhs acYd3Bm4ePjmI47YtHch2sSNgS3PrsgoVWIU1PVZxsiVgbAjCc9+IR71jhXo 7WcA17itWSA+veW1qMo+BrgAdki+CiNHdfeeblsG5hrcPF2fknu3nqHXJgxM nmQ9RuowcrfrPvm7IgPhgXtfST7HaCJPJGaXAgPiXrnGBsR71YVRovIMqO8w UYwj/s9XY28/WQY8vg18s7YeI4f1H47/IMlAa16XufsLjCZN0kdjKQbKW/I0 Oxow8p27mrZrigbLmvnzS8QzpwZX9U/Q0PHAlFnXiJHhUJ21YJyGuazeoWBi lUXhucQRGjZ6S2ZLv8Qor9zO/t4QDf8XhqywacLIwOise0UHDbFrts/VNGOk LeRNZlbSkFGY+GSEWO/tyjTpxzTk6jUnSLRglHLkeHLiIxqqtzup7CPueJcf EVpKw+dDh2zGiK8NRZcZF9MQdP9sntQbjNLSbSUC/qDB3bxzv2sbRlkn42Nt E2gQNCmpRxEvFdRLJ8TTELHXY/YGMe+92bqnsTRk/Tp6Zpr4uU1GuWYUDe3J nx9Et5P85iwjeo/TYN2uLFXQgdGT1mm1Mj8afjz4ay3XhdH/jpaE4J00pGqu 7VTuxsjCvKgkwYqGTxN9o1bEFdlpSSu30/B78B7JS8TnXNrjlE1pmIlELtBD +uXukDm2mYbCS7LT8b1kfqtKHUGVBlH3ZtFiYnCyH/ZZTYPzmkS5HuIsf0OF M0o08G+KGG18S/7nGLX/jhwN3g/HYluI9YtOXE5gaVj9ulpJsZ/kv2FMT+0v Co5lhOuYEcffGTS7NE5B077Npn7ETm5xL0VHKAjvLzxYSXyxyMIsZ4CCzvHM Ys93GHVF7DX7u4UCnSL72kRih49Wjr0vKYgNWt55n/i10PynP15QoCc8/YUe IPvBS0LzUxUF6cwRywLibQx1aP4WBSN/qru0Dvz7fgfTnUcBpAwd/kLMK1T0 TrtGwdS3TudsBzFSvRas9Mt5Ciw6Za6HEi+brnsVmE7B5aym0hzi75bpGmxJ osBadVvfLHH/J8uR2ggKrn1Y+ktpCKOH6fP9viEUCPPKRC2ItcoiL8QKKLDz C5YTEMdO1ilx3hTk6ehonCcW6S31OnOAgq8zI4bVxE9C8ltH7SlwfJBrM0rc HPg+LcqCgtthbh4y78l+0jossahPAWWsGGxELBguXD/5HQX/AAjoeC0= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVkHk41Akch8fZKsnRGOP8uVPIOZFlvihmhjG/ldE6ciRKTMMU7ZPIVh6b dhBFRLvlKmlLVkjDd9t0y7EqSrW2CVk74SnNdKy1f3ye98/3fT7mW4WhicoU CiVkcf9zrFgpPkIqZy40ZFVfrKKilB/BfzgtZ37dSS+8UEPFScNmtv97OXNF kc4fjY1UnKmNc3FQVzBLp5wSLrZT8d/2bhWlVQqm+gph440hKhqPZdefS1Ew PXveODku18dw549/f5hTMLPjNvlqHtDHewNzmWVKn5ghwsGUz0k03J2l6xkZ /IWZRT/l/yWdjor2oRavtAWmU23a7PE9Rnh+x5HZX25S4GmlqRM93wQZ55mx KpNK4N4tyqe9NsNm18Dz4x+UgfuSB+7G5iieS2SLTVXhp1/rS4qFFjh4+ob/ EFMNPsnSqxweWqLaiTTDRq469JYWBq2xtsaT3e6B/qIlQOlRLhxotEFDt2Ay 5dBXUOsWkbTfdhWqlf3c4lqkARa+lq86muyQtNcUdDcvhSTJwwc+iWuwQPOu 8lNcBvN9cvN8HQe0Mq+WtY1rwkCHsmHnO0e0tbzkxliiBbyoXSmMdCekC3U3 +69cAZ5mo+lGcc7YuvfWhIaxNpSFrzeVpLrgo2j7Es9abbA/O+eSkeaK1qPV E/fW6YC8XCpsK3XD1aGOO5vu6ECmnvTOuU53tBFMRD7i6cLz/ueqV4YZGGrR NB/7ly5oRY7m5dE8MGN/BcUlRQ+Sl2SUJ3M8kdtbty5sVg9EetyzsgPrkd8u oQ8fXAkLnJKc1BEvDGP9m1yzlArhFarZ81beeEjESeyvpkLlDfoy3zIf3F7a KuY66sNsb81bkRqgXwTbSrdVHz5/zlnb3QbI7ZhM9AikgU139Bf1HF/kdV2m 1vfRQNEQNN/l5Yfq18rnEvgGsDvG9Yn2Rz/8h1ew79C4AXA/+lxI6/XH+wV1 aVMCOsSzW/9klG/AkdgHOi0UQ5DnbxucytyIL0aMzH8/YgjbNHZe3hscgCc5 BVsstY1A9YFBgItFIB7kq258fcYIZJeyCya0WJig1lApszMGXsy3y7bNsHAP j38qQmIM+bHKkitv2Li+2OLuyhATCFt+zE30ioMfMgwSaY9MIDcxRTHUH4TS 9/SmrO2mQJMJZxWPg/Gu4YZ42xlT8BRPJ+j2c3ErQ+xvmWkGzaUFg853QpA6 n7YDVQgIz7SKTh3hYUbN2vGSQAKKaPTbZwUkpiY5SX5jEXCN3KkiFZK41c75 +AybAPcTV32sRSSGXHLxCwkmYNg192JDJom2ne6nNb4hwEQlltN0gMSRQa/w 3EgCushcu5ZjJHors24JBAR4f2J+19BKolsPq7pqFwELjknnpG0krv6Bvee+ kADJXo8s82sk6msFWdiJCKh78nSyoovEt/SQHGkmAeI6yezh2ySecQ5jROUS ELn5cIDHCIkn34UtL/h+0c8aG09+RmJhG1/afpAAz3UvNCufk7jPe3OJfh4B L9Sv2rwfI3ETO1I2cISAjpHrgsIpEjmaUT2UowSETg8oNU2TCH1RVWt/JOBJ XkX2TRmJjJLo3TFiArb7dmY9niHRnr+FIy5c7DMrHH45R6KFQYz59SICjrpU zI++I9HgWYx8qpgAfoDlvVvzJGqdju2jlxAgT3EgjspJVIuPq2eVLv4rfuMo UJD4H10fPsU= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVxX041AccAPC7vB3CFY6EfliFJpLXovt6P+X4uTrjLnnP62FJ05knFBFz x3pWj2RsJ2+bFu3xlt03q/RIJG+NelaI7VJ5mbck2/74PB+j8CRO1CYKhcL+ z//7iqhhQZMrzEe5yt0LGf3SO58+HuudWWGe5KTQ9ayfSvckrrDcFleY48tf On3x+qmUxn5vZaG4ypTfFJZq6z0o7VR5QaGarjKndyQfdVcakdrltlTUxK8y e1OEqdNhz6WGGUkvl+dXmVq9lg+SAyek7+NehHxHXWMG3/P/ptHsrdS/fInG 81lnDnPwkbhnRbp3jpdwMHmDGaShEZlhTkWTg4GdDfcocCK9yOHgogKKaytN 5P6igmF7nqc5TxXbqunhU8ubIK3uRbU9m473/csXCw3lgVbh5d7mqYnvLksm BpgKYO2tmNTMZeBQ9JOGWrYiOD+7ktlPbsOyKb0+11NKYPopj/P6F300WrzU E3eeBl3qNQaXPuzAe2Upn+0XKcMF7jVZQp0RsmaF/b/dUoGJlVnqWJEJ5g9U 8/9AVQjdaTB4I3In1oUvHGie2gyvLBTcY1N3o+xS82lbJXXYeFJcwBeb4bRr ZYGrlgaMkTdY3Vf3YPjAYLqyPh2cXY6040sLtHocTzhK6LDGEm9lqFjhO/2S pG77LTDnMlYZ4rEPnVr/eVP/cAvYCFyHdHOsMcZANjzotxVyVFzthC37MWck MSFkfCukqwZLbmnYYmZQbvK+eE2QdJjRs4LsUNV0tPLonCYUYqJ5RZU95vp0 ZIxka4E9f7W7S8cRXzrsf/iDijYodsyIvhIeQPN0h46+69ow5l249FHeCeVU hH/67GVAWMSHioISZ2wP9U3e8isDuI7LgdnqTIxQa6y399KBsp+UvvbiAcqy arhVfTpgrfggZtnEBSluY59HcHVhQv6wg847F1TkXW/IntKFUaoP83ivK75x mC//W7ANWuWpti4SN0TBsGMjRQ8aZO0BNsXueDqO7daZrwfXlcY1nVM8sLmJ IjSmb4efE66VHON6oozjxp+s3A6lGmmHyvy88GOrbv1bM32w6TqnNu/Mwk9n MqoCO/ShNn8tNN7DG8WZho81fQ3gycWFqnD2YaRwOBGMIQOIVxCWRrKOYOhZ bYkw2hCiGbmBQ8E++H1M/NFds4aAUBw2HcVGgWTd0vjMDtj1Ywo2CHxR+5po TCpHwEb1ZofWYj+c7IoNKPEiwCB0/Xe/YyQerwi2uMsioN5NsLkrgMShNH/5 WW8CAkr33jwUROIDM8dGtg8BnZpGNMsTJNYU0NSV/Qnwk8mZacWQKPCrvn+O R0Acby1vLp3EpeFJG4GAgFB2WxNNQmLizWeqZYkExI4N7BPdIHH6Ys94dxIB uVeUYhi1JD5zuC02PUWAfWik3u4GEttKz89MnCEgtevAWU4LiedOGEt4mQTU 3Rptft5D4oodIz0/iwCu6U3+6T4SkzVUOC3ZBISXXR1Qe0piOM5taOcQcFmO s+E5QqK78V1+fz4BjeuvU0dfkXjnw21rSgEBotgrS3mTJNoO1ChbFhKwNJ85 7TRN4q4L4ubCIgKOUOOi22dILD9+oahdREBhtEd7wXsSdWzTomRiAk5G8puS 5kkUqyU4bSshwKT+zfmziyTSpkI0Wd8SYNVEX4haJfFfusc8aQ== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVxX081HcAB/A7c57n8TpPR18PSULd4bij3eenK/JMaG7JNA8rjz2cWtda MWRyKeehsqxGUXpAKEVaKFJ5qUykFnt5WF7l8mpz9cK2P96vt9XWtLB4FRqN Fvif//cupsdG/TknbDfSZpqrMaBaJI58ND0ndD6+4NFlwEBnYYP/2g9zwkQv 66lYCwZ8j8TznNSUQo0xp4FkVwaCsrq16fZK4ee0qpUjsQxE7TjWVJ2kFI4/ LR+TtjCQHmilM/deKZzPsth7OU4NpxlUcwn9k5A+Z2rz4pw6pHLj2+KAeaFX 3YPYYk8tCDTe7/NKXxTarKhiR5bpQKOFJrnSQUPIaMTVybe6cF3cyFCdpIMX 9aOM3qGPPl5N2sQ/KvDnscWpqoa4NN/NlVmqIrpZsPNMshFKkB38TMjAyJsm j84XTLyTeK+/GKiGybjE+3reLOQJHhSLdqrD/IYRPfWZMeSKiNvJWRrovWly NjfaFBdspd5uRzXxtfj75MlpM9Ankizv1GmhXL7HJOkKG92ntjwdbtfGdkbK lHucJfpfscdujOtgpDeod3Y5wXiFxN9DXReKUytMf7W2QlJYX8E6ph6s9yZc H2Zaw8RPytRm68M2WXRy2NYGrnF6jwWV+vDcOjCcvdIWM+s0eb3uBhhvu0rr Dl2G+vi+7kv3DbCKJYnM3G+H2gNlPQPBhuis5ZiqlC+HT0zXnthRQ7gEFqjE jtjDjP/hmEuSESoK7c7/ZOiA2RDFYITCCDmeYmNXv5VIXr2x93kmE2l14Zff VTnCQrPJsUprCRJkT7QOzjohreYAv//nJXCqvdA/nbAK93KZu4KdWVBmz+c9 Sl2NTTEXTZmNLOwK7dqtZc1B7sL5ZIGPMbqb82+FTXEwU1LlWP3YGG41Ppg7 z8WWlHTThAgT6LO+LOAmuiBF+0x99rgJspaeqj/q6YprZ/uvT6eYgqkyPytS c0M5fXtSI80Moup6J/qEG25FqeR35pkhoM15KL+Vh9F3ib8v0zcHu6ghz1fu jupAl76JM+ZA+PMTNpkeOFe56KZYwUa429Dpu3F8rLvL8d3cysZmzT5+YowA fy3l5BoHWeBEvKpfqdgT9yQcF7NnFtjXKNCRbvCCqKg0/0CiJeS0YMUPoWvw sWYhxGHGEoP25haXAr5A4wJ3rV3GUqydzFcE+whxuGB85s5nBPY9us5LnIEw k2sZch8CP52NbYV1wDcDg4F3fQnU215N/dEA7JbP277fQNDh/jfFaQJK9H2e BAcQ6He17+lvAYY1hlZphxKcsHqkZHUAccrFyUNigrM7BjdVDwCSIf+v0lII 8mLI/ulPQE5ZOvd0KsHxFDW+9wJQFlms+TCNgCXea11Go9DS/7LZYSdBkAFN KmJQWOjZwRzPIFjT+4t3hS6FnJulDzcfJAg34DlGW1Eo/e5WZf4hAubw67pG GwrV7q+lLZkEh2Vmcbp2FHoaHBxMsgkiP3CD2h0o6NW25jzJI/AsofPtXCmQ 7aPRKvkEgkMsm4M8Clx7dTfOEYKC4ev8IQ8K4ZUhYzIZwVtyblq2hkL8VklL 61GCBCfF4SkhhQxy8th0IcHCm+5QkTeF3Jdt35ofJ9iWstqnQkShrHxM6FdE IP7NdtvH9RT+BXTa+7Q= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVxX081HcAB/A7c57n8TpPR18PSULd4bij3eenK/JMaG7JNA8rjz2cWtda MWRyKeehsqxGUXpAKEVaKFJ5qUykFnt5WF7l8mpz9cK2P96vt9XWtLB4FRqN Fvif//cupsdG/TknbDfSZpqrMaBaJI58ND0ndD6+4NFlwEBnYYP/2g9zwkQv 66lYCwZ8j8TznNSUQo0xp4FkVwaCsrq16fZK4ee0qpUjsQxE7TjWVJ2kFI4/ LR+TtjCQHmilM/deKZzPsth7OU4NpxlUcwn9k5A+Z2rz4pw6pHLj2+KAeaFX 3YPYYk8tCDTe7/NKXxTarKhiR5bpQKOFJrnSQUPIaMTVybe6cF3cyFCdpIMX 9aOM3qGPPl5N2sQ/KvDnscWpqoa4NN/NlVmqIrpZsPNMshFKkB38TMjAyJsm j84XTLyTeK+/GKiGybjE+3reLOQJHhSLdqrD/IYRPfWZMeSKiNvJWRrovWly NjfaFBdspd5uRzXxtfj75MlpM9Ankizv1GmhXL7HJOkKG92ntjwdbtfGdkbK lHucJfpfscdujOtgpDeod3Y5wXiFxN9DXReKUytMf7W2QlJYX8E6ph6s9yZc H2Zaw8RPytRm68M2WXRy2NYGrnF6jwWV+vDcOjCcvdIWM+s0eb3uBhhvu0rr Dl2G+vi+7kv3DbCKJYnM3G+H2gNlPQPBhuis5ZiqlC+HT0zXnthRQ7gEFqjE jtjDjP/hmEuSESoK7c7/ZOiA2RDFYITCCDmeYmNXv5VIXr2x93kmE2l14Zff VTnCQrPJsUprCRJkT7QOzjohreYAv//nJXCqvdA/nbAK93KZu4KdWVBmz+c9 Sl2NTTEXTZmNLOwK7dqtZc1B7sL5ZIGPMbqb82+FTXEwU1LlWP3YGG41Ppg7 z8WWlHTThAgT6LO+LOAmuiBF+0x99rgJspaeqj/q6YprZ/uvT6eYgqkyPytS c0M5fXtSI80Moup6J/qEG25FqeR35pkhoM15KL+Vh9F3ib8v0zcHu6ghz1fu jupAl76JM+ZA+PMTNpkeOFe56KZYwUa429Dpu3F8rLvL8d3cysZmzT5+YowA fy3l5BoHWeBEvKpfqdgT9yQcF7NnFtjXKNCRbvCCqKg0/0CiJeS0YMUPoWvw sWYhxGHGEoP25haXAr5A4wJ3rV3GUqydzFcE+whxuGB85s5nBPY9us5LnIEw k2sZch8CP52NbYV1wDcDg4F3fQnU215N/dEA7JbP277fQNDh/jfFaQJK9H2e BAcQ6He17+lvAYY1hlZphxKcsHqkZHUAccrFyUNigrM7BjdVDwCSIf+v0lII 8mLI/ulPQE5ZOvd0KsHxFDW+9wJQFlms+TCNgCXea11Go9DS/7LZYSdBkAFN KmJQWOjZwRzPIFjT+4t3hS6FnJulDzcfJAg34DlGW1Eo/e5WZf4hAubw67pG GwrV7q+lLZkEh2Vmcbp2FHoaHBxMsgkiP3CD2h0o6NW25jzJI/AsofPtXCmQ 7aPRKvkEgkMsm4M8Clx7dTfOEYKC4ev8IQ8K4ZUhYzIZwVtyblq2hkL8VklL 61GCBCfF4SkhhQxy8th0IcHCm+5QkTeF3Jdt35ofJ9iWstqnQkShrHxM6FdE IP7NdtvH9RT+BXTa+7Q= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVx3k41HkcwPGRq1gdq+jYZX7HhMpWtiSKT1JKxjHGGN8okiPdlFolPPK0 yLW5siK7kTY7qo02ik8lRWOr6XCEJokyolY6XO1v/3g/7+dFbdktCpzA4/GE XP/fpb27Q3iCD5mZZrf2fXHD2jmahWc4ax2R6wmG3dCGMAEjnNNVs3yecDZt 2txTksGHHx0uq1uOuqH6w+YB9Sw+aKi6j3wad8O/axt4lTl8EJo5CA5puCNV KqPn5vPBoqljcfwUd/wQGRE0XsIH69x8pzMCd4znxQ7HIh+qtDcmN3q6Y2j2 +uKIp3yIkq3U0Ihzx+i2q1PHVHxQ5hQ0pJdxnlR0TKJOwT0PZYGJ0h0fOboY ULMo+HLb5MY1PRFO2xV2sXoRBTrBFVcC7UQYY2+r2+9IwfSwjOjQPSJcbXr3 cIovBV/nPxD75Yvw3ZB8WG0/Be+r3xcdfCDC949T07oTKWhz/Hwj8qsImS3D XT6nKbh81G9eg7kH2jU9X1N8hYLjmU+kTn4eWOYbV+3XSEH29xFhxakeqCMv XN3fRYHFpVdT7W55YObr4GN6oxQYd5pHmn30wH0GfZ2nptGQlbwv54VAjLYL VE5qZjRsbPy9uctbjBs9Shqe2NIgu1mVKksUY8AWpSRKQsPkkOil92vEmGeM hRU7aVAPls9d8UGMpv2+Gv5xNNgfr3P0F3hiwZmI8I5cGsZK/9LsI54YukM4 LL9Ag7NuaKlJsicGdt6zE9bRML67a2phtSdugNvpp9tpqK7V3prywRPjyw6P bB2kYfbxz1eMTCR4Tqts76gOAzHOMTU/bJLguG5CsYBmoOqGsWZshgTP0tRg zTIGeoWWeiF3JGhNLXE2d2VA+W/4zvZxCVKLNa/rBjKgH9suVFp44fKBqL5D kQxMKmzoMQjyQpvMvaY16Qz4uTykek95Ybozczj8LAMO300fW6HwQoXKtW24 mgHDqLClVrpSDMqzFg8+ZkC0c0rteZDi/BF5YlQvA7vyarOE+6X4bFVrY6sa C6JHvxgXy6TYcbLI9JwhC3WJbyZv65KivEWV6rSQhWa9ZdH9Rt6outNSHrWW hcqtreXFUm/0vRM/SPmwcC1ZS68qxRsrZaUrT4az4DfnXdrpem/cfja9IDaB hdZeZqCVR9DZxQhH8llgV1scW76M4Mx2wdt1FSzELp3164EwglZRqsXachbW BPX8NnqO4FD9jnUhnLfvmjht6A+Clwz6N9VzToi9Gff2PMEFF94lJTWyUFSv dqDjT4L8l0Ovptxnwep1aQZeJDhxPS93poKF/Jzy0virBJunz5gwr5mFC9kn XPXrCWb6Z81M4pxb/tTtmwaCIpnhwj7ObwcuSTTvEZQ7zvaRtbCQipZ7PskJ YqRxhcUzFoINd7Q+e0CwRGkWatPBgnV9WlJRM8FA8/MxeZwbxcFP81sI0pEL ssc4fyRNgpxWgnn6C2trnrPw0uqoIrGNYNraJUYOL1gI+WdGwB4lQeGJ8iVF nG3Grym2vSCoo7TcoNXJwiJ7nmNAJ8GjPy0/eJfz9jf+KyVdBFfVVaaYvWRB P+HnGtdXBMe/XVGUyJn2D1i7vptg1ebrVSrO3iJzhX0PwYOltgrnLhaoDYHm m14T/A/GwVOF "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVx3k41HkcwPGRq1gdq+jYZX7HhMpWtiSKT1JKxjHGGN8okiPdlFolPPK0 yLW5siK7kTY7qo02ik8lRWOr6XCEJokyolY6XO1v/3g/7+dFbdktCpzA4/GE XP/fpb27Q3iCD5mZZrf2fXHD2jmahWc4ax2R6wmG3dCGMAEjnNNVs3yecDZt 2txTksGHHx0uq1uOuqH6w+YB9Sw+aKi6j3wad8O/axt4lTl8EJo5CA5puCNV KqPn5vPBoqljcfwUd/wQGRE0XsIH69x8pzMCd4znxQ7HIh+qtDcmN3q6Y2j2 +uKIp3yIkq3U0Ihzx+i2q1PHVHxQ5hQ0pJdxnlR0TKJOwT0PZYGJ0h0fOboY ULMo+HLb5MY1PRFO2xV2sXoRBTrBFVcC7UQYY2+r2+9IwfSwjOjQPSJcbXr3 cIovBV/nPxD75Yvw3ZB8WG0/Be+r3xcdfCDC949T07oTKWhz/Hwj8qsImS3D XT6nKbh81G9eg7kH2jU9X1N8hYLjmU+kTn4eWOYbV+3XSEH29xFhxakeqCMv XN3fRYHFpVdT7W55YObr4GN6oxQYd5pHmn30wH0GfZ2nptGQlbwv54VAjLYL VE5qZjRsbPy9uctbjBs9Shqe2NIgu1mVKksUY8AWpSRKQsPkkOil92vEmGeM hRU7aVAPls9d8UGMpv2+Gv5xNNgfr3P0F3hiwZmI8I5cGsZK/9LsI54YukM4 LL9Ag7NuaKlJsicGdt6zE9bRML67a2phtSdugNvpp9tpqK7V3prywRPjyw6P bB2kYfbxz1eMTCR4Tqts76gOAzHOMTU/bJLguG5CsYBmoOqGsWZshgTP0tRg zTIGeoWWeiF3JGhNLXE2d2VA+W/4zvZxCVKLNa/rBjKgH9suVFp44fKBqL5D kQxMKmzoMQjyQpvMvaY16Qz4uTykek95Ybozczj8LAMO300fW6HwQoXKtW24 mgHDqLClVrpSDMqzFg8+ZkC0c0rteZDi/BF5YlQvA7vyarOE+6X4bFVrY6sa C6JHvxgXy6TYcbLI9JwhC3WJbyZv65KivEWV6rSQhWa9ZdH9Rt6outNSHrWW hcqtreXFUm/0vRM/SPmwcC1ZS68qxRsrZaUrT4az4DfnXdrpem/cfja9IDaB hdZeZqCVR9DZxQhH8llgV1scW76M4Mx2wdt1FSzELp3164EwglZRqsXachbW BPX8NnqO4FD9jnUhnLfvmjht6A+Clwz6N9VzToi9Gff2PMEFF94lJTWyUFSv dqDjT4L8l0Ovptxnwep1aQZeJDhxPS93poKF/Jzy0virBJunz5gwr5mFC9kn XPXrCWb6Z81M4pxb/tTtmwaCIpnhwj7ObwcuSTTvEZQ7zvaRtbCQipZ7PskJ YqRxhcUzFoINd7Q+e0CwRGkWatPBgnV9WlJRM8FA8/MxeZwbxcFP81sI0pEL ssc4fyRNgpxWgnn6C2trnrPw0uqoIrGNYNraJUYOL1gI+WdGwB4lQeGJ8iVF nG3Grym2vSCoo7TcoNXJwiJ7nmNAJ8GjPy0/eJfz9jf+KyVdBFfVVaaYvWRB P+HnGtdXBMe/XVGUyJn2D1i7vptg1ebrVSrO3iJzhX0PwYOltgrnLhaoDYHm m14T/A/GwVOF "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVznk41AkAxvGREK3usG1pfoddowObLop3zP0b9KzoactRjg5pd2tiS6ZY XehxxGT1SMaTo7KONorWsftYKjMpFLlL2+42Gkrz9CDa3/7xPt/n899LhHzv Gz6Dw+F4s/u/Pn2v+r0zuOhTO+QZSfho/MJEfZV1J89SUcrabQcVOsn6gGeh dKeUD/vO4L+LM7mwsAuaviXjw/hx14jxRS4UXuWqfV583Gl8wKn5mYshql/x 6Bs+iJJS8stcLiSGYH1+AB/vY6L3TBdzQZIfe3wP83GaEz8R38AFcSb7fZKa j4gsWWH0Uy4KD0YtHtTycbK3et6Ujgt9WJs2bZy1ecHZbcYE+g4aytfxPNEu 8bEiPicw1HO+XufvifnfHa6ocyIQmL6rWn3GE3Ge7rP1EgJ6v96W21WeENjf i00JJGDz+k3HwyFPjBo0E0ZRBJqSVBGGRQK87UhNe5VEYOv+4zWLBQJQIRMv A/IIVOXMvX72BwE8OgdEhbcJ1GWWRVjnC1AWmFC3S0tgiYV8TsYjASw0aoH+ JYFE64WbNxgLofpn71nLjwQGymsT16wV4ojV8IvL80nwba3PfxYmhPtKHWPE I+GxJ7hiWZYQO7cWP3jiTqLlQ46vSbMQoSGD25TbSHSX+g84TQqRs7xBXXWQ RJPGYd4vq0Ww1wfO3J1Awsm1Wfk2SIQrV6MV/ZdI5L4SxJ3LECEi0ntCU07C TFcSO9goQviLFg/vJhI+VqlZMQYR5PgzPa+PBHWqOjPKQYzTZbGTYWPsnwXm N6gAMa6Zlh36aEFh2azWMPcLYkzPTiy0Iym0VkTWXmkWo4gkxurXUxgTnfhQ MC6GK+HitWoLBb9wn6ivnCQgnE1qZ4dTuNDeoRKHSrBxRDl8PIbC1IqCzssq CdxUh+zr01k/ZtQnNBKke1GxiiIKJ12rXUY+SdCm29I7UUeBN/CHuWG9FHty XP3GOij0pj3dlRApxYpJTZLyNYX20ZC9wjwpevjd2m4jGqPH38281iVFf3aB /TVrGinOAa7nLGXQPNOlMo40jkgqHlpJZNA1P6tUimncyq7P7D0pQ2Dz6TEi gEan1vTmnEoZakpLNmcraCRH5T6d1stwoCj9SnwijViTsTl+dgy8fGwbJnNp OG41f/d4BwObPrs30ioaLrV77ZeqGGxQ6pzNNDScfu9Lq21hYLgfKd3H+kbQ MdObGgY3rfRB91lzHpTEFWoZrCwfTU7W0vhg0fNTaisD7pDhr7mtNERu/nW7 2xnMknEu2bTRyD3RMN+sh0HXosUzHLpoHOtWOPi/ZqDafdEmmfWvKeZrGB0D 31Jrx2HWpVbr4THMQCNZElD6jEZ+/rf7eHoGDTHLq77uoVFc9tvI1FsGxYO8 CLd+Gj82T3QXjTMIX3UjLod1m9Zy1eUJBmTMyqwp1s+v30m4MMkgZ6FjY/0A jSf/PnFXTjFIE7vYCp/T2BS3etjXSA7vjEqXAtbb+ZxQ6Qw5LAbXyU1f0FB3 7+/fbCzHqWMbj95jHX1x5pC9iRz8ppoU3hCN4Oq1kbamckwv2FSQxNq5cnp8 oZkcd4Nr7+pYL00KPm8+S46jJe5tXi9p+GzYTn1i/R833SXP "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVznk41AkAxvGREK3usG1pfoddowObLop3zP0b9KzoactRjg5pd2tiS6ZY XehxxGT1SMaTo7KONorWsftYKjMpFLlL2+42Gkrz9CDa3/7xPt/n899LhHzv Gz6Dw+F4s/u/Pn2v+r0zuOhTO+QZSfho/MJEfZV1J89SUcrabQcVOsn6gGeh dKeUD/vO4L+LM7mwsAuaviXjw/hx14jxRS4UXuWqfV583Gl8wKn5mYshql/x 6Bs+iJJS8stcLiSGYH1+AB/vY6L3TBdzQZIfe3wP83GaEz8R38AFcSb7fZKa j4gsWWH0Uy4KD0YtHtTycbK3et6Ujgt9WJs2bZy1ecHZbcYE+g4aytfxPNEu 8bEiPicw1HO+XufvifnfHa6ocyIQmL6rWn3GE3Ge7rP1EgJ6v96W21WeENjf i00JJGDz+k3HwyFPjBo0E0ZRBJqSVBGGRQK87UhNe5VEYOv+4zWLBQJQIRMv A/IIVOXMvX72BwE8OgdEhbcJ1GWWRVjnC1AWmFC3S0tgiYV8TsYjASw0aoH+ JYFE64WbNxgLofpn71nLjwQGymsT16wV4ojV8IvL80nwba3PfxYmhPtKHWPE I+GxJ7hiWZYQO7cWP3jiTqLlQ46vSbMQoSGD25TbSHSX+g84TQqRs7xBXXWQ RJPGYd4vq0Ww1wfO3J1Awsm1Wfk2SIQrV6MV/ZdI5L4SxJ3LECEi0ntCU07C TFcSO9goQviLFg/vJhI+VqlZMQYR5PgzPa+PBHWqOjPKQYzTZbGTYWPsnwXm N6gAMa6Zlh36aEFh2azWMPcLYkzPTiy0Iym0VkTWXmkWo4gkxurXUxgTnfhQ MC6GK+HitWoLBb9wn6ivnCQgnE1qZ4dTuNDeoRKHSrBxRDl8PIbC1IqCzssq CdxUh+zr01k/ZtQnNBKke1GxiiIKJ12rXUY+SdCm29I7UUeBN/CHuWG9FHty XP3GOij0pj3dlRApxYpJTZLyNYX20ZC9wjwpevjd2m4jGqPH38281iVFf3aB /TVrGinOAa7nLGXQPNOlMo40jkgqHlpJZNA1P6tUimncyq7P7D0pQ2Dz6TEi gEan1vTmnEoZakpLNmcraCRH5T6d1stwoCj9SnwijViTsTl+dgy8fGwbJnNp OG41f/d4BwObPrs30ioaLrV77ZeqGGxQ6pzNNDScfu9Lq21hYLgfKd3H+kbQ MdObGgY3rfRB91lzHpTEFWoZrCwfTU7W0vhg0fNTaisD7pDhr7mtNERu/nW7 2xnMknEu2bTRyD3RMN+sh0HXosUzHLpoHOtWOPi/ZqDafdEmmfWvKeZrGB0D 31Jrx2HWpVbr4THMQCNZElD6jEZ+/rf7eHoGDTHLq77uoVFc9tvI1FsGxYO8 CLd+Gj82T3QXjTMIX3UjLod1m9Zy1eUJBmTMyqwp1s+v30m4MMkgZ6FjY/0A jSf/PnFXTjFIE7vYCp/T2BS3etjXSA7vjEqXAtbb+ZxQ6Qw5LAbXyU1f0FB3 7+/fbCzHqWMbj95jHX1x5pC9iRz8ppoU3hCN4Oq1kbamckwv2FSQxNq5cnp8 oZkcd4Nr7+pYL00KPm8+S46jJe5tXi9p+GzYTn1i/R833SXP "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV0Hsw1WkYB3Cym7ZIsocspnB+r3TSinJZl55uCJ10mcq5q1zDKZeMqVNK K9SEstoN61KIoxbdjmx6ZLDULqKEUixL5K46srLv/vHMM5/5znznmcf4gHSX 7zwVFZXddP7fnzJ3hnj1soEzsKHn4AAPj6mKW6Ook2y0Lzi84+HUoWCHLOqe xq4zHdRhf0Tn1lJ/X2wiDB7k4Rjn3Dcj1KKj4r2fqEOTUo+w+thQ8LVLj2yI h8MTOW2O1Po5466q73k4WP573nlqE8uYg6rDPAwwatC4TW0dUzd+kro/pi28 g9rUy8t6hrrXdWKj+T9syGoTxo+N8LDruVlXLXX7aFJF8xgPazW/cJ3esWGb hv/tpUoepsmKLFeNsOHoCp+RxfP5uDV7Rvulkg0LX/U+TDPlo1Nkd13TPAbu m/kub3DmI+vMs6ArGgw0R7uFbffm42xzBcdKjwHd7Z5a05F8XNNqX6VnzEDU UKHst2Q+SvVLIpo5DBT77/gz4yYfU9LWsrxtGBi5uPC+agMfZ2pcEznAwM9F DamnevkYabfX6Jk7A4tX33ZxUhWgnXD6bPUeBlQapufrGQqws7yg/YyIAWPZ aWepjQAvenM9dQMZSN8Rq6WxW4CJ8oTLU2EMqKnbedSGCDANHirzZQyMyruH 6hIFGKv5r7tZPANhoaZcjwIBKi40Hp1IYSC5tL9sqEqAs9z0eykZDPgsaO5/ 0SXA89UzjcfzGXgzmCfvmhag+fE96j+UMjB2R+eutZ4QbwQpOLUVDAjrFcJF 64Qo1ShlZ9Yw8OrW0NgsV4gu4zkObk0MKHzieiBYiH7xZmbOHbTv7oKWzHPU +xRzqr0M3Nvqm3w8V4hRgRs//jLCwJRjWVbxIyE2WYirTigZOKDWfulDhxDt 10cWWasRKPd2t0pVCjE2Ii1GoUngrDz/zR2WCFl+npx4PQK6O9QMhixFqLj6 eZJjQuDtYeXnaK4Ir512SvluNYHIySIroyARSrPPG7StJ5DTFqEBP4rQY96z an8g4FOoFVqZS3Pdm7DZncCtg/IybqUIr4fEdE7sIfDA1v6l4ysRGkcNuA+L CEzqel12UIrwlIJfcDeAQPF+W+NyHTEOO9YZ7wonYJOtjLyyVozXwuuO2MsI OMsvP43dLsag4Uevp84R0Mq2c2s5LEbtrGrbk5cIJFQ7Z+QmiFFVTeC3K4PA qGbfRlkeddH7ss/5BKRS068qq8W4TW1p63AJgbrNsfcXvBVjWOqmnlsPCJxI eB7bNCNGecDhxVtqCLSoaxSqaErQYnSlFruRgNW0V5mhgQQHl1ibeVELP+kg n/qGldOGE9SbHnj8dZWafWyntJU6PkX//TJDCRrORjeebSIQlrnGgmUkQY1F T5L6mgn09DnXaC6nfSRkSUErgcSlXzznTGifW9TKFmqWCz/Q2VSCfkGnYY76 W2+LOBl1z82fjux7Tu9fYVk1Q92xrrJJ/QUBP26Jo5ItwfpNWikBbfT/r9O3 jRMJxh3SL0ylfhzsGmJpJsEtcaZVSC0f8E+RUmO97fiylwQ8i9Q7h6kVXpKd 9dTrgx+HD66U4LGwoMAP1K7RrHRzcwmuS404bdxOoDP69eMA6pK2+NJo6u79 T3X6qUOnL9XnUc/ZTTqSVRJcbZDZ3Uz9USvJz5d60LFgepb6166s5OvUN0Sl 2qs6CDzJYyr+pv4PxoZ+Sg== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV0Hs01GkYB3CXrbYw0R4UW8ua3+sySC6VsF4imjqFbK25/Ubktrk0xKHk 1oU4K5LUUrohJNTsjlI9sm7VZkhLtDaWaDBy2S002nf/eM9zPuc55/s8z2u4 P9LngIqSktI+8v6vH4q8w72GmDip7EKw8SgHYpXprjjiVH2Gtx7xbOBBh8vE r56qvncnFrXGX20m1h+crzhG/J51armcWG/w8Y6HxBHZeVHaw0yM+tz8VN5x YGL6SrcjcV2+S/Z2Ylld/Y1M4sltl6r6iUPWPlG/Q2z9IhZYMg6MJHdH9xJn OLAMEoiHPKZdTN8yscGb37T0xjjQ/9K4v5nYS9U2KWCcAzx7O3c58Y0h6f5f ifsKXSu1R5iYk3e9RW2CAz0B/IRA4gOF7WNi4s6pXB2VUXJPQ+QjxiQHmjUW dzm9Y2K7Hvbc71McyE8stzKTM7G3uaedhYID7sULWj0fmVhkkmIu1uGC0+GB FqkKha2TFJZL1nNBO7Uz7Lw6hdXOJFfqeXBB0XGfZa1L4ZPOvLsH/blg2WXf oGtI4ccZpm2GCVyIXFMd08GisLBRUrX8HBdy8jdo+22k8MZqgUvObS4sNHmc ZmEKV0Y79wW3cuHw5r1rO9kULt5RQEf8zYXN/Lnjjb4UltcmPn/wiQt9daWv UgUUTrM0YhRr8+Anv107dUIp/JWdMeeOFQ9OV2ScnRVROGNgLv5LNg/y8YOP JYkUHpV73DlzgAdpGp/YxukUFgTU7SxP5oEkq/3QdA6F0w0CXJUu8kCx6+df cgopzL04LM8U8yCzcaH9SAmFVYPZEd7tPDA94rtsSw3Zvz6QsXuMB2VhElbz fQp/mC+X9S7lQ6R6DbOoicLS9KwfCg34sG3qioOnlMJvTN1fFzjyISjd2Pi7 XgoPxqX2te4l3if5rDxE4Ssip7epUXyIC3X594Kc/He7SJGQxQepBd1w9COF fbJyx6+W8MHe7nC5jSrC9WWzIWqNfEiLyU+WaCBsqNuZudjPB+2gnax0XYTr BGcW1s7xQXJxfob1LcLPt/FXpGgL4FqKU46eOcJVp58XMqwEEFmcqd9th/C7 pnpXI7YAdqh0NgZjhJktWzOOBZG+zi28lY0wiuEzlFMEcD08uW/aF+ExcWvt syIBGMaNsicECJ9QafvrgUQASRJuqTgE4d0Rd6tsXwhgwrHF0Cca4WuLjtc+ TJL50S1R9okIBwk3zLxeQUPYxKM/Z0+RvCMVo5omNGhdbtx0LBfhkpvj3z91 o0FZlRfkU4iwUeB92XWauHy8dr4EYZvV6xykR2nYrrqqa6IaYTOHylVrCmgQ 5bkOVt1DWOA88s1wLQ0VIT8y3JoQPjg3JFsipcFi0mQlsx1h4zA1C5cxGmSa NsZexEOy3oF7xGXWTs5HifcUlJy3HaeBGesd2UUsFlkvNZmg4WtFfPtxKcJO k/qTjEka1NWeZg93INx91vb962mSh8I1S7sQDo87dDt+nuR5xpm8INb0a0yb IQ4KS8GfiRNttPzCF2gYvHUuat9LhIXPipf6f6Kh1/ahdNkfCC/6Z4d7LtLQ 5royJ6QbYQ2+r1hNWQgnA9fczCPeIuaVehK7nTRqAGJKMXjhBDG0bZpa3YPw Er/Q5M/EEi+hdxtxsxl/z4yKEGJFYaH/EFfJfLdbqQrBNi8mxfAVmXf2iXM4 cXV3ek08cfnl9ZYjxBFzuW03iEVK3yDmF0Iw1y8a6CCO9cha508scyydUxDL o+N0LxGXCWq0zHoRXnnijWYf8X+zhaE0 "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVzn0w1HkcB3BLneqsh27Yom7a7O9razEUiuje1Obhtw8/hrruIudqQyfl YU1HSUkbxawcdZdTFB1luE6z0uMJt9OU9ZTo6iapqKSoi7R13/vjM595zWfe 7/kIYxLDNpuamJjI6fy/35WGJnCDIrhn3QqYMZOFmrexO436aVjNq63Ubzb9 sKKMWj1uV9ZO/UpyYOZL6j8WunwsnsXiWeOl03mPRRjVaJsZCxYPepwetD4R 4bJpTdIqKxat/I8Kv2ERLtQsiMm0ZVG8q9pt8UsRHLvsciaFLKQnpmzuToiw 7tS7PBs/Fn6pD9sMpgxOL97dGr+Whe3ezvgSCwYh+05e4xJZGDuaJEsEDEI9 W5Ojc1m4dntfFwgZDFuWZtRWsEicW5fSIWEwZRV9VnyVhbbY3Xa9FwOfhpSD bv0sploCcyVg4GWz92byOIvU5Wvnd4YwGGq/7/3EUoblkZPZzeEMIh9UHi4U y3CvsapvbxQDD+uSAr2/DPnrFTK7OAbffL2hbkmkDLk1B4+8SWJg/jS3r1Mt QzEuT1TuYvDhQsHhqkIZ9vE/hDhpqG+U/m1eK4PuUPuOMS2DgYJo6fE2GYyK Xy5ojzPYpsn2jX0kQ17zVHt6JYNw157bKqMMi9LDzX3qGQRM7Y8qmyvHmXid pLWJgenzs6oYTzkSLepFpS0M9mf0CSKUcqx5fXJFkIHBIWnEreytcqg0Tk4r +6lTMmsG9lOv033iDTIor0vg/VUmR1qc/7/HXjJ4VKtRjjTJYXDZeD1jgoGg dfSp3x05vD1Tq5eaERyy0D82jMmxL6V4j45PEDy9N+iFpQK2KplEIyA48CX/ M7dFCuh+fj8uWUggJ2UujVIFKrL8tPbOBDkx5m5x0Qoknshz6PWk+QLesV9/ VIA17WzeAgIHMRM1r4Te7c5hVQhB1Nom4ZV6BU4l7Lk3Fk5wnvfFuerbCgjT hkJGogguGfQNjcMKZOq+rWqIJXCf2ThNPk2JEd82YVgyQQ//vLWrUImK5Lbt 3rsImm/4X3T1VSJ+5Or9NwcIVI7BBZnrlbApa162u5BgKHbL0Qi1EjyzDaqw 4wSbIw/Lg7TU1S9+f19JYJRmeeTXKhFsNrt7pI7gn/IdgaN6JZKKAgZqL9J8 ZEx+56ASNbFbLVe3EHitcDZO53FwGRVbidoJrojRX2vJ4Zn1UieOurdC+uQ5 9Zklfl9lUD9X3xgTW3EQqUMTu6mnM678Cup5xp3t2QYCycn6wBJrDhaf3yx4 3EGQYb+zK3M27SMJ1lXd9D/7WWtC7WhfUJq4i9r8qM93+dSq+Cx8ol6WMJhx k3rg3E/b1/UQWC841SAVcOj3uGIwv0NgqOpy9pnDQR9gpY3tJfgT4+6O9hxy Ns39rYj6PhrDo6lX5zhev0btdWwirZT6mn7Z6zl3CSrDHl0VOHDQcdGheury odgIi3kc1EnxcW+pb1dPpgdTexSlZAn7CFa3mFXkUNf1aup3UvPNssdM5nPY NlmoP039PXlvv5La2aH0YQf1jPLhVenUz3yrJo3UH1LDEnTUZ6LqbRb3E/iX e5S8pf4P/3URqw== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVzn0w1HkcB3BLneqsh27Yom7a7O9razEUiuje1Obhtw8/hrruIudqQyfl YU1HSUkbxawcdZdTFB1luE6z0uMJt9OU9ZTo6iapqKSoi7R13/vjM595zWfe 7/kIYxLDNpuamJjI6fy/35WGJnCDIrhn3QqYMZOFmrexO436aVjNq63Ubzb9 sKKMWj1uV9ZO/UpyYOZL6j8WunwsnsXiWeOl03mPRRjVaJsZCxYPepwetD4R 4bJpTdIqKxat/I8Kv2ERLtQsiMm0ZVG8q9pt8UsRHLvsciaFLKQnpmzuToiw 7tS7PBs/Fn6pD9sMpgxOL97dGr+Whe3ezvgSCwYh+05e4xJZGDuaJEsEDEI9 W5Ojc1m4dntfFwgZDFuWZtRWsEicW5fSIWEwZRV9VnyVhbbY3Xa9FwOfhpSD bv0sploCcyVg4GWz92byOIvU5Wvnd4YwGGq/7/3EUoblkZPZzeEMIh9UHi4U y3CvsapvbxQDD+uSAr2/DPnrFTK7OAbffL2hbkmkDLk1B4+8SWJg/jS3r1Mt QzEuT1TuYvDhQsHhqkIZ9vE/hDhpqG+U/m1eK4PuUPuOMS2DgYJo6fE2GYyK Xy5ojzPYpsn2jX0kQ17zVHt6JYNw157bKqMMi9LDzX3qGQRM7Y8qmyvHmXid pLWJgenzs6oYTzkSLepFpS0M9mf0CSKUcqx5fXJFkIHBIWnEreytcqg0Tk4r +6lTMmsG9lOv033iDTIor0vg/VUmR1qc/7/HXjJ4VKtRjjTJYXDZeD1jgoGg dfSp3x05vD1Tq5eaERyy0D82jMmxL6V4j45PEDy9N+iFpQK2KplEIyA48CX/ M7dFCuh+fj8uWUggJ2UujVIFKrL8tPbOBDkx5m5x0Qoknshz6PWk+QLesV9/ VIA17WzeAgIHMRM1r4Te7c5hVQhB1Nom4ZV6BU4l7Lk3Fk5wnvfFuerbCgjT hkJGogguGfQNjcMKZOq+rWqIJXCf2ThNPk2JEd82YVgyQQ//vLWrUImK5Lbt 3rsImm/4X3T1VSJ+5Or9NwcIVI7BBZnrlbApa162u5BgKHbL0Qi1EjyzDaqw 4wSbIw/Lg7TU1S9+f19JYJRmeeTXKhFsNrt7pI7gn/IdgaN6JZKKAgZqL9J8 ZEx+56ASNbFbLVe3EHitcDZO53FwGRVbidoJrojRX2vJ4Zn1UieOurdC+uQ5 9Zklfl9lUD9X3xgTW3EQqUMTu6mnM678Cup5xp3t2QYCycn6wBJrDhaf3yx4 3EGQYb+zK3M27SMJ1lXd9D/7WWtC7WhfUJq4i9r8qM93+dSq+Cx8ol6WMJhx k3rg3E/b1/UQWC841SAVcOj3uGIwv0NgqOpy9pnDQR9gpY3tJfgT4+6O9hxy Ns39rYj6PhrDo6lX5zhev0btdWwirZT6mn7Z6zl3CSrDHl0VOHDQcdGheury odgIi3kc1EnxcW+pb1dPpgdTexSlZAn7CFa3mFXkUNf1aup3UvPNssdM5nPY NlmoP039PXlvv5La2aH0YQf1jPLhVenUz3yrJo3UH1LDEnTUZ6LqbRb3E/iX e5S8pf4P/3URqw== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJxNx2lIkwEAxvG3aUTpZssjc1jONV0Jhstra6GFYpqzWLnC1GkeyytLbeoH PyiWQYGL2UKwNGXNNDfB0SEdM4ylHdR0IYgiXjOzZqFrS20V1Pv0wJ+HH/N0 sSiHQhCE8Hd/nunp7qyVUPTE33HqxqT0/xxsV78qTYf5YwJFZBosUuX6P0+B a8J6o03J8HRyZtXKYfiOUmuNi4Q/uRScl1Nh6sOhxq6ZdaQ1tW40xVOYFpu/ idMAJwpKdNcK4fjAxtmOA3A/V5F9dSvse4EvP7hIkA7rJGLaX8BB3mWqyZtw s6pXNCODjQF+l28kwlPj3ILtbFjqOXDv7pLj2T87a4w+6hY4TRc+LRTBoa0j T46t/SRtWBv+RtHAI9FukfST8Gy/xaPbCdbe3y206dZIW+vbrjdLYPsHGW/R DbalL5a971slLXur1tOLYG3nI+mKLyw9t3FHzMsV0gyZo8i3DL7y8Yh3Cxuu jBk3Vr/7QZpFNcy5VsMDXmIlZy/8eQPreNu4nfSb3IQiQz0c1KVVJvDh2Mxi Rvm8jfQpsSkitAm2cCuzj8bBUVXlC56276Sp2p5afis8wlTqLEI4nTIUleSw ks4aFI66dMAsgmUsSYEnZLcy8l1hhumEQ/9gmfSW2wV2/RnYT+HDy5DCey4O VDhy4MS8QNv+LLguZMramwav9qUs6USweTLe0i6ArcO24EP7YGeD+qyZB/t3 rv/CjoBTS/sWWkNgoxNvvikAnlg27xKwYYtZmTfKgl1fL81tY8JxDd1mJQMW X5IEhvvA2RU0qckbrkktnHX3guVJjIAeD7g5ejBH5A5ruJWqr3T48U7OjHwz /AuCs1E6 "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJxNx2lIkwEAxvG3aUTpZssjc1jONV0Jhstra6GFYpqzWLnC1GkeyytLbeoH PyiWQYGL2UKwNGXNNDfB0SEdM4ylHdR0IYgiXjOzZqFrS20V1Pv0wJ+HH/N0 sSiHQhCE8Hd/nunp7qyVUPTE33HqxqT0/xxsV78qTYf5YwJFZBosUuX6P0+B a8J6o03J8HRyZtXKYfiOUmuNi4Q/uRScl1Nh6sOhxq6ZdaQ1tW40xVOYFpu/ idMAJwpKdNcK4fjAxtmOA3A/V5F9dSvse4EvP7hIkA7rJGLaX8BB3mWqyZtw s6pXNCODjQF+l28kwlPj3ILtbFjqOXDv7pLj2T87a4w+6hY4TRc+LRTBoa0j T46t/SRtWBv+RtHAI9FukfST8Gy/xaPbCdbe3y206dZIW+vbrjdLYPsHGW/R DbalL5a971slLXur1tOLYG3nI+mKLyw9t3FHzMsV0gyZo8i3DL7y8Yh3Cxuu jBk3Vr/7QZpFNcy5VsMDXmIlZy/8eQPreNu4nfSb3IQiQz0c1KVVJvDh2Mxi Rvm8jfQpsSkitAm2cCuzj8bBUVXlC56276Sp2p5afis8wlTqLEI4nTIUleSw ks4aFI66dMAsgmUsSYEnZLcy8l1hhumEQ/9gmfSW2wV2/RnYT+HDy5DCey4O VDhy4MS8QNv+LLguZMramwav9qUs6USweTLe0i6ArcO24EP7YGeD+qyZB/t3 rv/CjoBTS/sWWkNgoxNvvikAnlg27xKwYYtZmTfKgl1fL81tY8JxDd1mJQMW X5IEhvvA2RU0qckbrkktnHX3guVJjIAeD7g5ejBH5A5ruJWqr3T48U7OjHwz /AuCs1E6 "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVkmlQk2cUhd98CaKBhCCLIqAgIlCsGgoaKLJUGcoSpaGS1gUElKjEnYJY t1AWl6ooIShVESESAQE1is2A79XGpmChCmJFi0W2uGCCyhcCBNL0x5kzz5w5 M3fuHNekHbxNBEKIa9L/7mpnQ6tNIOA5P7HU4ygLPPO6BNYmbjxWcp9zhAUL Ryse7okn4NXo6cGIPBYEdAUWcNYTEL/93yRhDgt40pS599cQwK5z6rwuYkGW nyKkYzUBvkUug0H7WNC3OvHAeBQBio/c6sRUFlyR1OrCOQTwu8ILm7gseGeR uiufQYCnw2BuIJMFjDvt5671U2D/uxtkTIUV1GRbMQvuUqBsIPS3Hj8rYIZt pXuKKVCYnN69s4EJ0YG75aeFFLARcpKKo5kQ4XFuoDKUAnx1VzS9gwFKn4KN P88w9TlzPsYkMsD5h4D8r4YQhLJnaDp1luBXhVbIHiAwBmt3meVYgvfMNGnP BQSHn4ubw5wsoUSq4PWnI0hrEXVS6i2gbb7LkaJoBAovL4oi0gJ6X/qkznY3 ccyJW4vUdBDYNVVfHTbiNwHK7rf76UCraZtVccmIdbL6uGX2dFgvX9LH5Rmx MKm66FP9NPC9/KwxdmISu5EX9BGx00A18eQjUTOJw1vrHJ7qpsKzECuO9XeT uDyozztKPBUGlFrbOuokPl431uvjNxVqb3/G1csnsDyo/AzZZQ66U2WFJQkT OPXqk6Kxw+Yw+jTdf8hqAp+NCWqv8jYHffxQ2uN7Bhz1k8F9d+cUSG+tAOtt BnxQqbn4SDQFaqt+FYw7G3BGw6PYLPYUEOycNmfFH+O4YTF/zvR/zMAx3bjN OW0cn+dXV7UcNYPjb1bNvORuyrsXMERBZpC54mWb6NEYvi87qU/R0MCNoXpt KRrDj0c8F9hJadBkHyfx/GIMB9mlLc+Pp8F7c7dvy16O4mFJe+sJGxq0pERu U50axR0OPrFjrVTwvlYriQwYxX+litReuVQIS9zhmPFWj68OpwjOLqfC2riO pb7n9XhtKedVBZUKWp/MjTHhesyz5y99gAkIPpAxaKcfwQuEHx6qRAQwam9m B1wewSNOvFzbEAKeuUrkWu4IXjW73pFJMe2aaA9eadThvs29v5xWUSC5mfvC olKHnYonxOXHKOCG3Np2r9Hhg9EyN+tYCnSnX9yw1VKH3ws03GZnCjh28I1Q T+Lrg5z+b/oRTC9NHYXNJGZmCwpfXEfgUjDLf4OAxBvKZRn6OgSLcpr2GjeR OHxe0C47E0dv8dAvSyaxpTihclUNgjx2r06xnsQLhVzfB5UIDPfWDMt5JI5U xkvlZQjUPRFaWSCJrUOuDJUXItA90S/8+ksSt1QvUSjFCGiqiu1qfxLTqQPF fQUI5laZadyXkjiisbh03hkE6/bcG7zMJvHR0s+V0pMI2qj+b8/PJ/E5Tda6 6jwE3aTaK9CdxLf2+he15CLQqiVbXriROIo9/FqTg8Dyz+HXDq4kdjm04zE7 G0G4uE4tcSSx++8rb985jCAuN8FjySwSNxpGZM8PIdi4lynomGm6n3b2huEg gqx1wgEbexJn/X2LHnoAQf5Kx/k3bUncHLX4++T9CEpCmjfxbEz/6Sm+m/Mj ghqfTOkHaxKHaT8FyPYhaJjn2Z/PIrGtyr+1ORPBf2VmgMM= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVkHs0lHkcxn/zzkiNMUYuJRRJWG01lhpWfG051mXKjs3sdiGUqUx3S9pu Y126bKUwylYSkwmhUto59HtrtbO0bJE2tVq5TRfNqLxjMMzO/vGc53zOc55z nvM4x+8QbCIQQnyj/ndnGytGdSxBPhfGFbsd5YB7dpfI0sgNx4ru845wYOFo 2cM9MQT5avT0YGg2B/y6/HN56wkyZvu/8eJMDghkiXPvryFIbo1D53UJB9J9 FNCxmiC9C5wGA/ZxoG913IHxcIJUfORXxiVx4Iq0WhvCI0hhV0h+E58D78yS duWYE6S73WCWP5sD5nfaz13rp5H7392gIsssoCrDgp17l0aWDAT91uNjAezg rUz3PBqZn5DSvbOeDRH+u2tPi2mklZgXXxjBhlC3cwPlQTRSqOqKYHaYQ6NX 7safZxj7vDkfI+PMwfEHv5yvhhAZxJ2h7tSywKcCrZA/QKQhULPLJJMFnjOT ZT0XEHn4eV5zsAMLimQKQX8KIpNbJJ20OjNom+90pCACkQoPD5oizAx6X3ol zXY1cuSJW4tUTBDZNFVeHTbgN36N3W/3M4FR1Tar7JIBa+V10ctsmbC+dkkf X2DA4vjKgk9108D78rOGqIlJ7EJd0IVGTQPlxJOPRNUkDmmtsXuqnQrPwIJn +d0kLg3o8wzPmwoDjRrrGvokPl4z1uvlMxWqb3/G19VO4NqA0jNUlyloT5Xk F8VO4KSrTwrGDpvC6NMU3yGLCXw2MqC9wtMUdDFDyY/v6XH4T3rX3Z1TIKW1 jLTcpscHG9UXH0mmQHXFr6JxRz1OrX8Ulc6dAqKd0+as+GMc1y8Wzpn+jwnY pxi2OSaP4/PCyoqWoyZw/M2qmZdcjXn3AnNJgAmkrXjZJnk0hu/LT+oS1Qxw MVe+ZknG8OMR9wU2MgY02UZL3b8YwwE2yctzYhjw3tTl25KXo3hY2t56wooB LYlh25SnRnGHnVfUWCsdPK9VS8P8RvFfSRKVRxYdguN22Ke+1eGrw4mis8vp sDa6Y6n3eR1eW8x7VUang8YrbWNkiA4LbIVLH2ACAg+kDtroRvAC8YeHSgkB 5tU3M/wuj+ARB0GWNRDwzFlaq+GP4FWz6+zZNAJiiPbAlQYt7tvc+8tpJQ0S mvkvzMq12KFwIq/0GA1ckEvb7jVafDBC7mIZRYPulIsbtrK0+L1IzW92pIF9 h9BA1lH4+iCv/5t+BNOLk0bJzRRmZ4jyX1xH4JQ7y3eDiMIbSuWpuhoEizKb 9ho2UThkXsAuGyNHbHHTLUugMCsvtnxVFYJsbq9WsZ7CC8V87wflCPT31gzX Cigc1hgjqy1BoOoJ1cj9KWwJV4ZK8xFon+gWfv0lhVsqlyga8xAwlGXbVb4U ZtIHCvtyEcytMFG7LqVwaENh8bwzCNbtuTd4mUvho8WfN8pOImij+749P5/C 59Tp6yqzEXRTKg9/Vwrf2utb0JKFQKOSbnnhQuFw7vBrdSYC1p/Dr+2cKex0 aMdjbgaCkLwaldSewq6/r7x95zCC6KxYtyWzKNygH5E/P4Rg4162qGOmcT/j 7A39QQTp68QDVrYUTv/7FjPoAIKclfbzb1pTuDl88fcJ+xEUQfMmgZXxn57C u5k/IqjySpN9sKRwsOaTn3wfgvp57v05HApbK31bm9MQ/AfJglpD "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwd13k8lF0bB3BaaEWUJClkjaQNUUrxxKPsSwtRVKJNUmQpUZGlkjUqpGiT JSL1i5DwqMa+L2PuGVuZuYdK1Ht6/5rP93Mvc851n3Nd15E7eNLKbZqAgECU oIDA/38dXol7i40hdGtN9J3tgag/a+ygLDoGweLQxoYbaZCKaUhpmz8Gbk2t waxfWXB8cZAZOW8Mans20hH52Uj7b1Rl29wx1Gq+TggyygV7MPAEf/YY6uJK fhUeyYf6rPn5j2aNIXH1sU0s2wIUGqoaiAiNQczOUaTpfREmDxSGlM4g92fG hvlavoZhgFG19/QxdBZePpb8sQS1hS627QJjSD/Tk7M5FOhRT/LI/MWHvby5 8AvNMiiaquTsm+Aj+7pAru3bMhw7UjAu8pMPQelm+cad78FPZVw6O86H+l57 4VyrcsxaPDfBkMuHf7PUr+nbKqEl6F/eQfGxo13KTOj5R/jIzplzg8WH0YkP l7wlqlGil2C+vZ8PF73yMIdz1TD2yW/L6uVjXsM9pYpNNdg7NDzq08HHHgmZ mbU5tQhudFy2gEHGY7X55LNjn9CQZeBj9IaPKY0/f+plGVhVPh8dr/lwtSiW yjBiILirXdi7mI+Sln8F5T0ZWCNxPjGtkI9Xyy8ZK79iIML/RcmfHD7ctSLY MWb12GEuN734IR9bvc7OdznagHz+tBurb/Cx8Un+zQTvJswV/dJSEcVHZq9m SUFMEw6q3pNzjOSj0fLLmszcJog56eVdD+cjtt6DITzaBM8PZ5o4IXxoLvBs rz3ajJVJ/TLpvnzoLHx/dcyqBTEGlVmLD/FxRYT5zGJ+Gw6/EGyrdOGD1xw3 uUqpDTpym+f4OPOx/KvX2q9b2tA1Lf9YgyMfErNPOqmcaoNKZeqqmw58RFk9 /+H3pQ0lZgHP5uwm8Uy8+vtzdDuoPetzpnT4WLy880TFZAc2eae9Yorw4ZD/ 5YB3ajeKl+mHJM7n44O9dfSGl93Y9KHR3HweH6W6/yoMVHVDT3o2u3g2H2I1 Ve3Ko93Qf3dy0a0ZZLzWF+WnL++BwbzNXlsnaLwxqH72zKMHOx40r0ph0Qg5 aBoaINAL84Z59+xKaASK7nESlO5Dx3kf2+qDNGjbzM3DW/thVbKBrS1Kw3KZ OatsNoWtO/g7H+bzsEXcpSqtio3k71uDX+/j4f5Kodwa+wH0mDDjqmfxsNtv z9KTzweR3BNyoe05F4Oy7l/HZw5jm6S/Xv9eLt6851/YqzkC63OC9bdncTGc YrlqlcFXdMlc2WScPQrHVy9Emiy/wdLFOYC7bxStqUVPN60YxeZB3RspgqNY ZubTE5IwitWbt4/1kPsSH7o4j8zkIpf55qLf069IMEoUuebKhbKE9tNFP0cQ /Jqu/Pc9F8cv7ot6YDmCgdWDHtELeXjgEyi2IXkYfwzaVw+58lDw/s02icEh zL8065r0Ux4Sd2eqsrYPodjqfkAGm4fjB2/mvIoeRGCsR96LFTQW5CuOBrEH cCXt88P63TTyfDq2D/cPQO3B97d+5jRsdWPiHfoGYHjgmYecBY3EtwIGWp0D OKqRGXzckobcx/bIPsYACvcueChgQ0Or6+Yqo7cDKAs+VCK+h8R91u/Dc2IH MBAWw2eR73Jzf1PnbcMB9C+kXxqfpWG3ZL7OR4MBHF7zMrKLWKZp+60p/QEM +rj0n/WhkWmeY3xYewAFeYYi6edowDAiW1t9AL7rsq2++9IYUTG81LZoAHdC jt26GkjDZOzZyhUDHKSv1482vkpDJLc/0IbiYKn1WrU64oYTS1uvMTk4Ie5q aHuNhjPnWiS3kwOXtB2DLmE0zrUfGi9jcJC0+5Lk2es0MkqXVLmVcMA8o9AY HE1DMCrU40k0B+6u3wL04mm8/R53WzSSPB/7O+cxsb9L5psz4RyEiR33WpJA Y3x9jah+KAfb6tUTxogH28Xya/042DA36WxmEg2GavLkiBsHNmYGHj9SaKRV 5Eau0ecg0cy2besDGgc0ywtu63Iw8f1FQCqxTGJj94+NHOzcH/NEMINGnOcP rVItDi5uznn4jjhcYkuTpTK5zsyT0n1Ew8vlo+wZcQ72ved0STymYTjVnf2S w4aFb07EqWwaCi6nu3tZbMzlczZ9JJ5RMU1UhMmGXxZ3v9wLGhURiicOd7IR KLxo8hPxThkP9cUMNqzcvqcr5dLYrTeeef41G58sP4YU5dPQvHe15cErNgqt 7rvOfklDbPqSWV9esnEmqbTAgfhLtd4R1RdsuG+7lDNGbLP3kmLbAzYiynb+ Vimksc93XppeFBv/6sV3exfR0O9M+XLkOhvbQ+62vCaW2aYpePsaGxor3A2n FdPommXlPBzMRmsMdSSS+GBCvGzKOTYYBk3fk1/TOFoof+e3MxtMa2XJ1Dc0 vMd0bpeuY+NVUWiqfimNF9VXJibWsNGs9zHyFPHwvQbn9avZiA2YP5JO7GZ6 SuORChsny/VmzC4j6/Xeo8qIZWws/PPoVi2xtonkT3thNn6sdVyqW07eL+t6 4OYMNow3p6u7Er+gcyqqBdnIYu3NjiJWubvr1uZJCrcWZs3qI5aiQ1YpcCmo C10VDq6gMZFMO35to3BQ3E/mUSWNjV7bypVbKBR5CWl/JPb6J1rNpZFC/kX1 0kHiIa7a9/pPFIKyPimof6DRYXzwRlE5hXsmOssziaVkXozzSinsW+uQV0Fs w53arw4KIZ8VC/qI/7uTqHqviIKglo3w0iqynkc/l4U8p8BJed8QQjxRIav6 9gkFk12L21OIN97xjP6eSaGnSN28gDjbaNb+Y+lkPnVKF1nE95MMxswTKBgK yk7b/JGM52TkvrBYCuEvjc5YEksZtZeW3aLwefV2SzfiG998ojZEUtD2NrG+ Tnxpx3PlpcEU8txMPD8T51c27Q8JolDvyFzfTczZ+efmiD+Fq3aP/UeId++y mMQ5Ci0RB8JmVdMI/nReS/UshfnDy3YvIn5pmXr4lhcF4eism3LEMna8z67H KZxjVt3WIbZokRaqO0bhSoG6zXbiy3u362kfJeMV+31zF/Gg0+2M2YcopCaH XXMmlu0tafNyprB7VGKbO7HlIZZohyOFFSJPz50mfnVko99zBwpHhjKcLhIP DzhlL7ajcLa2WeQq8XLPq/0XrSm0FhfqRxJbfc1eMmhBweWDBucW8ZVTLbut d5Pr0+QXJBAX8wRCSv6lMC/QvzCZeMRbtUjRhEKViWL7feIV3y2/RhlTaPaZ 4f+A2MbXT+HHdjJfyWlJj4iv/UpzcNlGYaWO0IbHxK8DaiKrt1CYGPlh9pT4 6x+6bJ0+hZjsst5nxPLBMj+SdSkc7d5FPye2m2GkIaRNIaAs4FI2cdiV4wdP rqeQJrQ+4q9LZsXFt2hRyNhjJfHXo+Fva7dpUrB3L5b8+/zK+WzBJ+oUQpm7 4v7+n320qPZCNQoCPl9v/h1P+AIdzwBlCrF1AbMzid/GOKdSKyksutM5+Xc+ vEVhTebyJN5h3zxSiRUTcuYWLacg+k+sXQqxg3TbVvllFFSCX5T8jVdE8jSf 69Jk/Bz5uzHE72RXPeEvppCiXDfxN970fesex0UUEkZiGH+/h5KC/6IP4hSU OLaKl4j3ZjwwXSNGYXHFGM+XOEr5v6DE+RQ2rbXV8yIuzRrLnzaXglOn7e+/ 31/lufHyxpkU2A9KaXvi/WtO2myZTmFQZlRxN3F0bnzYIwEKauHGjL/ra7yA Q/v+YuH+L26CBrGa7gJV5g8Wzuybk/d3fTq+1nUyG2eh9MgX47/rtxzhVbJc FoQ289omyHr/sS1v6upXFpJdRNuHiVeVt6/lDrEwMOBi00V8q0o95T3FQm+H Ri6ID3ypO320g4Xvu8UW+xMX7Dr3LLGVhS2HzXYdJRapXj5Q3cRCjDyTaU1c UnbKWeMLC0odoVqqf/drvrg5r4KF+dFuprVkf59c8zpc4T0LQ3P0g/KIK58e qrR5x4LFJ22JJOKzGfmbC4tZOHp5hoMbMSPOTt0/m4WxhkILPsk3qhJ/jjx7 yoLKlwC/JuKL0Y/Su7JY2Fu0btorYs1rP6S3PWDB616Dmi9xhG/SbKFEFu78 zu6gSb4z3t9FRQezQA2M368m+TKl5Yp8aRALv3TvxKcR8200nXj+LEyVlA/4 Eqfvuthoc46FkGfz7isRCxjIly/xZOG99waL8yT/FssdTk23ZcGhxyl5kuTz BXdFOhusWDitcE+nmviodKGUkAULGS2vNeKJF0vMunHUlAXva5VymsTeMx4H ahiwsOJq+Sp7Ui9Ws0f2FaqwcNksKPkqSD8gdvqwlBILgmNbynYT1+jyT/kq sGCrkGO9iPhoxESoniwLb2/PL7r/ltR/LeEXkGDB3sU07AWpV5L+K2ZU/e5H vv2oTD6pZ64Z6SKqk/1YBOWh08R5dUpLwn/2w6woRl6T2EJOY7UZvx9BA+61 j0g9DK/Udfg80I/iT7nCt0j9/C1m/bSloR/h7vU/TUi9NdvUVKDL6EfXgfSd vwto3Dm0pzTpUz/mjKv+ziHWKTjQtL+6H6qhr5MXE3vt8yRddz/+qYhJbyf1 nsoItRl43I8Flze8NCb9wH+bXk3+vNiPaxPpnx89peHT+H3z0cB+3J38GGZK vOKUdlDThX4EWKQ8Hn5C4pdRIJjn048Wmwh5TWIZsZdCnp79KEjbTT3NouHJ yhHrsu/HZ45fzPWHNObceLKybHU/DtYqbWi4R+qD2pDbGvV+LJujevUQsVOF 2qO7qv2Ir2/fxLtLI3ciS/XCyn7MOx1TOZ94r1vm6vXS/XiaOf/Y5mQaWZsy dB7OJPG6v6MwkPRnO1l3zcI7mHB1Pr302g0Sfz+n2+9amcj8sIv7nfR//SKy HeNNTLQ25sw8Qhykk+Jx6AsTy2VkBgyjyP66fidcv5IJ+v2HGC7pHxXWJlR9 zWbinTu9TY30n78Db+6wvkze73Pzj1AAjVoJy4iwi0xsjaqTc/KnkZQp1oAA Jg6Ux/rmX6CxgRF9SP08E2Pm0VVOfiQeilHBM48zcXpHVXsW6Ydba8LfFdox IZomc3uJF4mHVIi+jBoTm1Y9Wut4mIbvXlnrYGUmNNbcu/zIjcaW5FfunJVM 3NAWlOG60qhaPhKXv5yJQ+Wz5YMPkXqtZMc1W0S8aK//HWca0zeoPAwQYELl 4b21T/aSemVZK9rd1AeHd+8f6JPzwmjYQmbq5T5431/2WXIdGU/FaoHPF/uw Luil87K1NMoETZb9DuiD3GvvaQpaNGJ8A+z3nu/DMb/ec6s0ST/hTtWIH+/D hNub5VqraFzY+Sr/sh15/4kf80QVaAgJ77/iptoH+0Y/XXFxGstC0lVVP/Ui zGzz2qUjPEx6Jiy6WtsLrehNRt+HeOiwjRRkfexFla7ZCcYgD8nK51rvl/di nd9ywSscHmRqTMOkinuheCNTto9JLM7jCGf04pmpR8vxNuL7WzMpv140nyge /VTJw9KSTqUHSr0Q1TnNS0/mwU4y2kR0ZS9kDj5u33mHh1untnr6yfVicuFg 5XAiD7MU03MsZHqRsm5XqlY8D+ORR/WnFvTCTtXaLvsmD4wDtKXdVA/E7/Yb +13h4dr02QGzGnqgx7E6YXqSB77p+nrPSz3oqy1c/HIzD9b33CbvBfbg2h/5 nzw9HnLpOMX6Cz0oZT4L0dzEw6nkn+d0fXqwOKko7sFGHkZG3soIkXPyhedV UYGaPFA3TA7fs+mB9fdyUe4KHlqbnH5+Ue5Bk/hax+ppPPhXiBucSCbn8htp VjJlXKhWqWmuj+/GvOt3BOXfcdFUbbh84mY3eCUK1kpvudD87PUn9Go3JKTD 29SKuehrYyDFqxvGQiaHFHK5MBm9tfW/nd1wn3sw9UsqF5JLJQzVx7qQFtD9 ROYiFzmnJIwGd3UhJ9xWZ6MOFw+PrDLcurML6hO/eI83cJHktN0gzrALq2+p 1Cxbx0Ww2RldQ+0uKB+RqZvS4MJGpV4jaUUXXBse8R8qcDHefUvSlO7ED+3F PskiXOibi3OyEjrBmPagZTZzFFUaC667Mztgv9laNCF0FGeE08ZaOztw/bqI e1zwKOnn1jqbtnSA88Ui+lbQKM7ettmw6r8O/H7yYVOI7yjkf8V3Dxd0IM9+ XrfZ8VH4V8muPxXeAe27BwZO24xC85B6p49WBxZoyRf8Juf7uIR/NEOC2rFJ Z5+al9s3rKmN1Lbxa4fk3WV/8p2+ofpPvcHKs+1IjfigTtt/w9RhZ4vyY+34 UyUV6mL6Da4bfE/PsGuHt8L9jzM1v2Et43FeiHo7yi+/SXX//hV1c0V0Qlvb kFJc7HAl5CtmBjVsvbKuDe9+ZNcbRY+AeihtR2m0YeybYVTslRFU1Tl7GKu0 4fx7/9ddASMIlx2JFVrWBtmqC3scPUcg9nbm0BWhNphUVC6cazIC6amNsVdb W+HgG7FgpeAIVl9IHLgW1ArNN15bVTyHYXfO6db1mhYw3zuttFAfgtLPPUb/ VrbAc/5kZ6j8EMb9bH/MKW1Bco3nq3ypIcQGmjmFF7QgwPH2m6kZQ2gI3aQW ltoCEYeoMP3OQVjdliy7cq4F/BFFKfeIQZjn1HEvKbSg5Uhi/H7WAHYObbE8 f6EZTm2P4uIvclBnnnfayqcZ6pxIvupZDmzzlW+pn25Gku+fwHx3Dg4GiNX3 HG4GpSc7PdeKgwDRPhsTq2ZcqfNdtXslB7nrQh2kVZsheZNaJFTJhox/zYGS piZscbseaTKdDe48hxMCa5sgvSVgNPoQC+/cau8cU2+Cz5PSX59tWIh6u/Vj g1ITnujLxgoZs6B2SnVl1tImhOoH6JuTun+wfqLVcmYTLD/ZUjbD/WhITDFK b2lEy+O8vSu9SF1TYsoYBzVicYOepIM3EyFB9qYvfBsRaO24YK4rE1YtNeek vRvxY5GY1QtrJr6F5TO+Hm1EYVyzyZe1JA+PhF6Lt2rET2kdn2OjfUjMU+Fz FBsh7OLC7DnaB/+tJ2qu1zbgU66mtMDuXujS8XG2HxrgFuL0bUK/F+MZpS7L y8j1k5aK1KpenJy76EduYQM8tmksjJzdi4NNr1e2pTVgZqRzmlR5D/7xnB2o 4tsA2+qkT4IbSd5KeLCmQrEBLqeFd7gs7sIn07pfUSsaIBMV0po/2omIqe+V DksbEFbHcGz/2ImZh/51HCYlTbfUL+HuBbJPNXhhEpP12LOAHT/U0YHO9wZM F0Y9lgbJ7p6IbUfmt7bY34H10F4q5+bR3oJh4eENGr71KC72L5DKbMGaFVON +87U46LL6TxX7xa8slguWXSkHmZ5Kjs+zW1BVc6huDMW9TC2zNDO3NAM9pnh OI5cPao+Li0r9GqEWsTUxsUy9Yi6Mc2A1m7EiQcizUaS9bg8EX0pfrIB4w1r FqfPqYesK2e6cEgDhDaejXekGVBk6Gb3hddD6cdUPKOcgYt6S+UMvb7gmJio jiAYqLsrrtKn9gXPVVa0aBYxcC0radaRvs/YuMdQKvIZA4WHNO/37foMo+Ir Cf/EMdDwPeOGp2odrjHidXxuMKCVeNdqZeh/qB3MbHkQzoCNtOUjl85a2Cyt kZoWxECAoruRR3ANXP1FE0uOMDA+7dfBD7FVyLy9QnfIhQG562X4WPsBw0+1 WpfsZ0DhlHeK8lQlvDutl5yzYOCFY/ErjnEFXo25FmWYMrDIfya136kck/N9 9jTsYCDN4/PLjR7vEbIlIVFLlwHzwH/WSTiVosouS9d5HQMHgnc5aRq8w7yT xa1RGgzo/TcxL0PyLSyu1vi+UWYg9s8zo5++r3H7XseSYTkGPMbPrrsU/wot hSNF0jIMWGwUPzNl9RIyn3/vMZFk4EjcPPvCszlw5ohOnBNjoFkj5YjkQCbS BeSSHs5hYLbN0ntn2MH4H/G3ZUQ= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwd13c8ld8fAHAatIzICClkk7TsTim+6avs0SAziZZEZJRQZFQyo0KKlpmV +kRI+Ipr73Hd516r3PtcI6Hf6ffXfb1fz/Oc+zmf55zz+TxSTpfMXVdwcHDE cHJw/P/XtlTAm38Gwg40xD4+FIRarxnayvPNAGd5WHvb/QwkGteW1sMzA8yG RrTmdw6yy3OiRm+YAaUT+8ioolyU8d+0wsH1M9Co9iEp2KAA0ceDLrLXzkBT QsXvErcipLKGp+jlmhlI3nFem2ZVjEr0FREv1wzwW9vxdnwpQ4tnSkIrV+H7 s+Mj/Mw+IP1Ag3rvlTPQX3L7fOq3CtRY4mjVyzEDmVeH8vXCAA2ppHhk/2aD jbQJd55aFZI9qpB/aoENufc4Cqw+VaHzbsWzvL/YwCnWKd1+5Atip1NuXZtl g8pJG+4C82q0RmR9kj6TDQGdor9XHqxF6pwB1X0EGw73ihpzvfuGfCTXrbtP Y4PBxa+3vAXrUYVOksmhUTY46lRH2PrWI0Ofop6cYTZsaHsqV6PdgE5OTE77 9LHhhKDE6sb8RhTSbrdlIwXHY6536e3576gtB/kYfGTDkuqfP62SFKRczQN9 H9jgYloummVAQSEDvdze5Wyo6PqXU9qTgnYKXk/OKGFD6dZbhvKlFBQVkFfx J58N7upR9DjjVnTYRGpl+Qs2HPC6xuN4rg0VsVfc33GfDfteFz1I8u5A6/la umpi2JA9rFZRHNeBnBSfStlFs6HdrGVndkEH4rfXKbwXyYb4Vg8K93QH8vx6 tYMRyga1jZ69jec60faUUYlMPzZobvpyZ8a8C8Wh2hwRZzaE81LfmvL0oLN5 nD21jmxgdSYsKsv1IE0pvXU+DmzY+sNr14/9PWhgRdH5Njs2CK69ZK9wuQcp 1KYrP7BlQ4z5u3n/lh5UYRz4dt1xnM/kO8vNsb2IOLEnf0mTDSJb+y/WLPYh be+MUiovG2yLWs54pw+i8i26ock8bPhqYxG79/0g0v7abmKygQ2VWv/KjNUN Ih2xtfTytWzgb6jrlZ8eRLqfLwk9XIXjtbgpvXLrEEIb9LwOLJDwEdW/fesx hA4/71ROo5EQ6nQ0LJBjGJm0bXhqXUFCEN8Je06xEdR33ceq3okE0ipbb/LA KDKv2EvX4CPBbIsJrWotgQ4cZh95UcSC/QKOdRl1dJQ6dyDkwykWPNvOVdBg M4aGjKgJ9WtYcNz/hPild+ModSj0Rs87JoxLuv+YXT2JDgoH6IyeZMLHL+wb J9WmkIUvZ+ujNUyYTDNTVkY/0IBEuLZh7jTYlebxdpj9RGaODoHMU9PQnV72 RnvbNNIb17qfxjkNW4x9hkKTptEOvUMzQ2Y/IfmFo8PUaiYqoH686f/mByQZ JPPedWEieUGNN0K/piDkA1n77xcmunDzVMxzsykY2zHuEbuJhZ77BPHvTZ2E P6h3x4QLCxV/+XhQcHwCeG6tuSv2hoWSj2cr0g5NQLn5s8AsOgtdcHqQXxo7 DkHxHoV520i0sUh2Opg+BuEZzS9aj5Oo0Kfv0OToGCg9n/vkb0IiK624RNuR MdA/89ZDypREyZ84kHr/GJxTzQ65YEYiqW+90SOUMSg5ufEFhyWJ1AceKBt8 GoOqEOcKgRMkMluzfHZd/BiMRcSxaU4kenC6o/+R/hiMbiLfG14jkfVmHs1v aAzO7nwfPYAt0XHo4ZLuGIz7OI5e8yFRtkm+4VmNMSgu1OfN9CUR6EflaqiM gd/uXPM5PxJNKejf6hEag8eh5x/eCSKR0czb7dvGGJC5RzfW8A6JeAtGgywJ Bohb7FJqwm67KN59l8qAiwIu+lZ3SeTAuBvN7GeAY8bhcccIEvn2Os9WURiQ cvyW8LV7JMqq3FznWsEA6lWZ9pBYEnHGhHm8jmWAu8vPQJ1EEn2aS3jEF42f j1/Of4Ud4Jj98WokAyL4L3htTiLR7J4GPt0wBhxsVUmawR7v5S9q9GfA3vUp 17JTSERRTF2ccmWApTHymE8jUUZNQfROXQYkG1v1HHhOojNq1cWPtBiwMJcX mI4tkdw+OL+PAUdOx73mzCJRgue8eqU6A27q5b/4jB0puL/DTB5fpxaKar0k kZfjN8mrAgw49YUxIPiKRPpLg7nvGXQw9cuPupxLIhnHK4PDNDqsZzO0v2Gv qlnBx0ulg38O87RUHolqomQvnu2nQxC30OJ37CMSHioiFDqYu85lyhWQ6LjO bPb1D3T4bvYttKyIRGpP73Q9L6VDifkzl7XvScS/cvOalvd0uJpSWWyL3VKv 46aYRwf3g7fyZ7AtT96S7XlOh6iqI8sKJSQ65bchQyeGDv/qJA56l5FItz+t xe0eHQ6FPun6gC1xUI3z0V06qG5z119RTqKBNeYOkyF06I4j3KKxnZISJdN8 6UBBHXOpH0h0rkT68bIDHagW8sLpH0nkPaP5qHI3HUrLwtJ1K0mUVx++sLCT Dp0636IvY08+bXPYs4MO8YE8U5nYrkcvq75UoMOlap1Va6vwen36sjZqCx02 /Xn5sBFbw0j4lw03HeZ32YlrVePxJV3OPFhFB0O9TBUX7Dwyv6aekw45tJO5 MdgKT4491Fsk4OGmnDUj2KJkqLIMkwAVrjvcITUkWkgl7X70EOAk4C/xspZE +7wOVst3EVDmxaXxDdvrn1glx3YCim6qVI5jTzCV5lq/ExCc811G5SuJ+gyd 7pdVE/DUSHNrNraoRN4sq5KAU7tsC2uwLZlLp1WAgNBm2eIR7P8eJys+LSOA U92SW7wOr+fp5qrQdwQw0r60hWIv1EgqfnpNgNExkd407H2PPWPnsgkYKlMx KcbONVhz+nwmnk+T3E0a9rMUNGOSRIA+p+QKvW84nkvRpyLiCYh8b3DVDFvU oLey6iEBzTsOmbli3//pE7M3mgANbyOLe9i3Dr+TFw8hoNDVyLMZu6i243Ro MAGtdtQ9g9iMI38eTAUQcMf6VcAU9vFjpovgS0BX1JmINfUkCvl+XV3xGgE8 k1uOC2G/N0s/+9CLAO7YnAdS2BLWrGaXCwT4UuseaWKbdolxNZ0nILxYxfIQ 9u2Th3Q0zuF4+ZcfHMMet3+UtdaZgPTUiLsO2JLDFT1eDgQcnxY86I5t5kzj 67MjYBvvG98r2KVu+/zf2RLgNpFlfxN7csw+V8SagGuNnbx3sLd63hm9aUFA d3mJbjS2+Y/czeOmBDh+VWU8xA6/3HXc4ji+vkJ6YxJ2OYsjtOJfAjYEBZSk Yk95K5bJGhFQZyTb+wx725zZjxhDAjp9VgU8x7b085eZP4TnK7wi5SX23d8Z to4HCdiuybX3FfaHwIbo+v0ELEzNG7/B/vGHrNqtS0BcbtXwW2zpEIn5VC0C zg0eI99hW68yUOXSICCwKvBWLnZE+AWnS3sIyODaE/XXFWsSErvUCcg6YS74 19ORnxoPqhFg414u/Pf57Tx0ztcqBIRRjyX8/T+bWD6NTUoEcPj8ePA3nsiN mp6B8gTENwWuzcb+FOeQTmwnQOhx/+Lf+bCEIjpMpHG+I356pGPLJuWvL9tK AN8/8dZp2LZiPQektxCgEJJX8TdfUakrfO6J4fgZ0k/isD9LKr9mixCQJt+0 8Dff5DOLITshApKm4ih/34ecTIDQVwEC5BhWsrewT2Y9P7qTnwCRmhmWH3aM /H/ByTwEaO+y0vHCrsyZKVqxngD7fqvlv+9f4Z3h1vbVBNCfV5I22Kd3XrLc v5KAcYlp2ePYsQWJES85CFCKNKT8XV+zxQzS7zcNnv1mJqliK2ltVKTO0+Dq qXWFf9en3Qcte+NZGlS6tRj+Xb/VEFknyaQBlx6rZwGv9/mDhUt3ftAg1ZGv dxJbubp3F3OCBmNjjpYD2A/rVNK+EDQY7lMtAOwzLU1XzvXRYO44v0gAdvEx 37fJ3TTYf9b42Dls3vqtY/UdNIiTplItsCuqLjuottBAri9MXfHvfi0SMGHV 0IAn1vVoI97fl3Z+iJT5QoOJdbrBhdi1b5xrLT/TwPS7hmAK9rWsIr2Schqc u73K1hWbkmCtEpBLg5m2ElM2Pm8UBf+4vX1DA4WWQP8O7JuxLzMHcmhwsmz3 ilJstbvzYgef08DraZuSH3aUX8parmQaPF7O7SPxeWd4eoCIDaEBMTb7rB6f l2ld4dKVwTT4rfU4MQObbalmzwqgwVJF9Zgfduaxm+2WvjQIfbvhmRw2B5Ku 3uxJgy/ee02v4/O3XOpseqYVDWyH7FMX8Xm+8Qlvf5s5Da7IPNWsxz4nViLK ZUqDrK4PqonYIoJr7p87SgPvu7VSatjeq14FqSIabLtTrWyD68UO+tSpEgUa 3DYOTr0DuB/gv3JWVI4GnDP7q45jN2ixL/vJ0MBKJt9CCPtc1EKYjiQNPj3i KXv2Cdd/de48EKSBjePRiDxcr4QDtq2qWx6FIptpiSJcz1yyMnkVF0dBCOQn rmAXNsltjvw1CsZlcdJq2KZSqjuM2aMQPObe+BLXw8haLdvmsVEo/17A/RDX z2V+izddbaMQ6d76ywjXW2PtjmItyigMnMk8slxMosfOJypTvo/CulnF5Xxs zeIzHafrR0Ex7EOqCLbXKU+OYRiFf2riMntxvSeywizHXo3Cxtt73xvifuA/ 7dLFXzdH4e5CZvPLNyTyaZ/TOxc0Ck8Wv0Ucxd52WSO448YoBJqmvZp8jfOX VcxZ6DMKXZZR0mrYEvzvuTw9R6E44zjxJodEnrR8/gGbUWhm+Mfde0Gidfdf b6/aMQpOjXJ7257i+qA04bpTZRS2rFO844xtX6P08oniKCS29mqznpCoYCFH 8cb2UdhwJa6WB/uka/aOPWKj8Cab57xeKolytLM0X6zG+Xp2uCQI92dHaE+M I/uo4OJwRfzufZx/f/tHn7upkP31GHMO93+jvJJ9sx1U6G7PX+2GHayZ5uHc QoWtEhJj+jF4f917HKlbSwXyy9c4Ju4fZXYl1f3IpcJnd/KgEu4/l4MeHLa4 jcf3efCHK5BEjYJmURE3qXAgpknKPoBEKdn8bRBIhTPV8X5FN0i0lxLrrHKd CjMmsXX2/jgfsjEhqy9Q4crhut4c3A93N0R+LrGmAl+GxKPNXjgfoqG6EkpU 0FZ+ucvuLIn8TkpahMhTQXXn09svXUm0P7XUnbGdCvc1OCWYLiSq2zqVULSV Cs7Va6VDnHG9lrNmGgthC50MeOxAopV7FV4EclBB4cXTXa9P4npl1sg32DEC tp+/PNfF3wvTEZuo6bdHwPvZlmbh3Tiemh0czTdHYHfwe4ctu0hUxWm0ZTlw BKQ+eK+QUSdRnF+gzcnrI3Def9hXWQ33E+5Eg8CFEVhw/bhVXZlEN46UFt22 xuNfnN/AJ0MiLu7T4a6KI2DT7q8lIECiLaGZiorfhyHCWG+X+BQLLXomCd1p HAb1WG2DuQkW6rOK5qR9G4Y6LeOLlHEWSpX37X5WPQy7/bdyhjNYSKLhaIRo +TDI3s+WHKFiC7AY3FnD8PaoR9eFHuxnB7IJ/2HovFg+/b2WhcQr+uWeyw0D n+YVVmYqC1kLxxrxbR8GCadXvUces9DDywc8/aWGYXHTeO1kMgutkc3MN5UY hrTdx9LVE1loNvqc7tLGYbBWtLDOfcBClDOkmfXSEAg8GTX0D2ehuyvXBq5p GwIdhvnFo5dYiH10T6vnrSEYaSwRea/HQhZPXRefBg3B3T/Sv1g6LFRAJsi2 3hiCSurbUDVtFrqc+stXy2cIRFLKEp7vY6GpqU8SXB5DcONdXUyQGgsR943O PrUcAou5aj7mNhbq7rD/1SI/BB0Cu+zqV7BQQI0Aupg6CNr3M8wlqphIsU5J bU/iIGy495hT+jMTddTrb114MAisChkLuU9MpNbs9SfsziAIikX2KJUz0UgP BdK8BsGQy8hZpoCJjKYfHvjvyCC4r3dKb0lnImFxQX2VmQHICBx8LXGTifIv CxqMHxuA/EgrzX2aTPTCTVn/wJEBUFn4zXq1l4lS7A+hBP0B2PFQoWHLbiYK Mb6qpa8xAPJuEk1LqkxkqdCqmrJtAFzaXrJfyDDR7OBD4aNkP8xriPik8jKR rokAIyepHygrnnetpU6jOtWN99ypfWCjZ8GXFDaNrnJnzHT398G9e7zuCSHT uJ/b5XC0qw8YLaaxD4On0bVHlnuV/+uD5ddftUP9ppH078TByeI+KLTZMGh8 YRoF1EnuuRzZBxpPzoxdsZxGas4q/T7qfbBRXbp4GX/fJyT9oxYa3AvamqeU vFx/op2N0RqW/r0g/GTLnyL7n6j+Tyvafq0X0qO+qpA2P9HSWQfT6vO98KdO NMzx6E/kstfvyirrXvCWefZttdpPtIvyqjBUpReqb39Md5/7gZrW82qGdfdA Wnm5bXjoD7Q6uO1A+O4e+Dyf22oQO4WIF2LWhGoPzPzUj4kPn0J1TQ4ehgo9 cP1LwIeBwCkUKTkVz7WlByTrbpyw85xC/J9WT4Rz9YBRTe2m9UZTSGxpX/yd 7m6w9YvauJ1zCu24kTx2N7gb1D56HVDwnETWvvYP7zV0AfWL/XZTlQkk9+uE wb+1XeDJs9gfJj2BZv2t5tdVdkFqg2dpkegEig8yto8s7oJAu0cfl1ZNoLYw baWI9C7gtY2J0O0fR+aPhKvCfbuAPSUr6h41jkzym5i3ZLqgyy058TRtDB2Z 2G92/UYn2Pe8TEi8yUBNJoVXzH06QYURzVa8xkBWRfIPVa50Qorfn6AidwZy CuRvHTrbCYSO5MoCcwYK5BuxNDLvhPAmP+Xj2xmoYHeYrZhiJwg/IIS4aulI IqDhTEVHB+x3vRdttJKOmBtsL3Ls6gCx/YHTsc409Nm18fF5lQ7weV35u9mS hmI+HfjWJtcBr3Ul47kMaUjpsuL2HPEOCNMN1DVRoCGn1oVus9UdYPbdirCc HEVtyWkGmV3t0PWq8OR2r1FULEeVMAxuB5E2HWFbbyoKDbY5mufXDkEWdhvX u1CReVeDr5h3O8wL8ZvnWVDRz4giyo9z7VCS0GnUsouKFKbC7iaat8MvMU2f 89MjKLlQgc2QbQduR0fq0LkRFHDgYsO9xjb4XqAmxnF8GGmRiQlWX9vANdT+ 54LuMJrNqnTcWoWvXzKTJZSH0aX1QvMFJW3gcVB1U/TaYeTU8WF7T0YbrI52 yBCtHkL/eK4NUvBrA6v6lO+c+4aQQNLznTWybeB4hfuwo8gA+n606XfMtjaQ iAntLpruR1FLc7W24m0Q0USx6/3Wj1Y7/2s3iUuaVqV/0pMb/WhelRUhuNgK JzbSEyf6+lD/F0R1pLSCeLDk8YX4XpT9syd+OagVNMSlXD16u9Ak9+ReVb9W KC8PKBbN7kI7ty21n7raCjcdrxS6eHehUtOtwmVurWBcqHD4+/ouVJfvnHDV tBUMzbI0svd2IvrVyQSGVCvUfROvKvFqR0pRS/tEJFoh5v4KRGq0o4vPeTsN hFvh9kLsrcTFNjTbtlMkc10rSLowVnKHtiGufdcS7UgKyFK0ckciW5Hc/FIi pZoCN3XEpfS9WtB5fj5NTqBA0xMBhRGlFvROYVuXWhkF7uakrHEbaUb7TuiL Rr+lQImz2rORY83IoDw86Z8ECrTNZd33VGxCdymJmj73KaCe/MR8e9h/qHE8 u+t5JAUsxcxeOvY3IkvxBtEVwRQIlHU38AhpQC4BfMkVbhSYXfHb6Wt8Hcp+ tE1rwpECUveq4FvjVzT5Rr1782kKyFz2TpNfqkXe/RabfU0pkGdXXsowrEGl My5lWUcpIBSwmjhtX40WeXxOtB2mQIZH8/t9Hl9Q6P6kZHUtCpgE/bNb0L4S 1VnnaDnspsCZkGP2augz2nCpvDtGlQI6/y1syBL+hEzvNPh9lKdA/J+3Br/8 PqBHT/s2T0pRwGP22u5biaWoq2SqTEyCAqb7BK4umb9HEs3LJ4yEKeCWsMGm 5Fo+cmDwLfjyU6BTNc1NeCwbZXJIpbxYR4G1luJPr9JD0P8Awf2eNQ== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV13k8VOsfB3Byo7QQKkmF7CJLRMmaokWWaFERqdtFKEkiKltpsYX8tOFW RCJKpT4SXXErxj7NzJkZWRLX3mGy/J7+mtf7Na9z5jlzzvP5fI+ip7+T9ywh IaGFwkJCvz+v7y2TCpIcw01Lz76ys0IVjae37FWTGMOyc8GaPSFCFbLJTbeZ C8YwXB8QupQ469OguuW8MajOP7onOFio4oWVhvlC0TGkVjjNNjwlVMFdk+Hz 6Nco4hUN9Z77ClXoCYdVsbpGYfLGCP+4C1U05ZoH27wZhaj2Di+1LUIVyeYf cpd6jUIt5u2iXAmhig1BWWUdC0fhM5Nvr14+g11N8++6lo9gvfHzDueDM2CF BLvUeo5AKIiRLT0xDadyw+71EiOQ/t7zoff2NCw2j9o+KBnGTGzrZMGmaWTS Fhdfuw3DdOS/v1/wpsC160itnTOMF/vr+xWuTyGTG3WO+WQI141adRoMp2C5 JGzjt/1DkL3mlhbZOQnnM8KNKXOGcEDKOKk0fRIc+ZgNWwoHsU/cQfTC1kk4 HvYIH3IbxPRIim3e1C9s6jVJuC08iPqrglkFhb+gs8l6jOs4gHrfwHxF718o 7ngTGZr/Hzb9EaJ9SPEX1KTX5y+e6MdRmzGHt+0C+EW6Xc9x7Mc7aevBzHQB coLPSxpm9sHvqMkMz1mA5+/fWEr3/sBMYuNTMykBbtk/0ui0/oGBahfjnJYJ +HkmFpXd6IVizLKcurQJLCpRGYzo/o6fCl/b6g5NIPFACzvF6jvWeUnoX1Kf gPD1aJ/HN3pgefmwTNDAOKymqMLSnm7Yp4m4Tr4eR9CYcco7g250tAae3hQz jgubn6gtv9iFwM9ry/Ocx+He8DnwT1YnXJX2j2SojkOnu9/thXonWubHLLIc p/FpQ9nkROQ3VKYomWZ8oWHbeWfHFVYHHjoOLr2QR6NENspUXrMDrTIBZZXR NAYvy3Tcv8SHaBb7hu0xGu3VOkL1kXw8rZD1+nSURqWw3YrpcD68fqyLdSJO Phu+Z38IH8/nTVUe9KZhdLyrTsqPj9diNhIhXjTO2ZaVXHLlo+KvEJ1ydxqi YgdivDX4uF2ToBK1l8aAVXB2siofawyvx0oTt51PqHi3mg/rbw2W2Xto5P6s EqxYyUdYsGzFe1caO7q0/Vuk+Gg//7h3jguNpOqZPVsneTip5m+U40hjRVS2 hsYXHuJZM3cVttOY9E1fHPsvD/3KshaV22iwXK4Jd37kIXr713VHiDPVzrTf q+JBOnzHilw7GvJ12y7LvuLhy2mrQSNbYqnhHrG/eejmlDd42hDfs3jUFcpD 9aiz5pQ5OX+cYcrmEB6G+SLNucSsQM3IrNM8rFrpwnIlzrSW2XsogIek+Anh YjNyfHe3WIs3D7nP5It8NxHr3DhW7cBD71t39sgGGsvL2ao5qjwIRoI8txvR cF1yw05CmYct560TZhMnBVj4hiryMClZtKrCkMYclewiB3keRrnBR4yIf177 03RqEQ/fPy+4praOBsN9xNF1igt/nfOZ8vo0Fr7KCXon4IL9IVyUrUfDTsY1 bc04F8n7v7fcJq6oKWPNGuEiQ9U+X4G4QO/8scIeLravc9LX0qURJzI3fE4T F0IWXiPOOjSqDr66e6qBC8+I6l454pkXPpWcz1zMjX61k69NI9j3s1jpRy66 bj7Yc5LYqzk56TC4kCm6EpW2hobZw5WPXuVxId59/8pPTRqhwvW1Ko+4UApv PFxFXOp2oT/hby7Cct7mJhGvkfymf+weF8/2zbumS7zsbO4b6VQujllezAvU oDG6bV2j7wUu5q//cHWuOg3nu96Td89zcVhmpYCpRqN4JFWl8RwX9Sfqh/OJ AzInzpgEcxGbZRrnRNzf/1Ze1IeLdRt+OeSokufNatDG5E8udAwHVEOJ81MV /X29uXAr177qQPyXedQ7hjsXLcEXRWdUaHQl2B29u5sLvQanGk9im87QGwxH 8v96eqluIs4xyS+bvYsLixtPlsoSe/EXzvO140K0sq/0izINrkFTobEZF8sr 6/+zIW5vOTTRoMbFboRU2K+mYayVoDRbhYsDJjbX9InTI95tN1biYuNrs7El xK7qynfuyHMRtW/2LZ4Suf9nv1v5LOIi8ua4+Xlivc9yvncWchHcsfnnUeIE pR03G+Zx4WS+Z4cD8a66J93rRbmoyZZjKhOnmfTIzv1JgVNicLVZkZyfv83H f5CClViNw3timfiCN829FG77vX5ZRJzAOumZRVGwmJh3LoHYPrq5ZA6TwnyP G02RxAt0jMX8myi0HnzbFEh8JWLq8caPFALv+9S5ENuqe0zff0+hSl3yvS2x aEOlw5y3FFbW5nuZEledVck+UUbB8kFTgS7xJaW4saZiCoNsuSwVYqu63q0b Cyj8SJSyXE4sFLQz4/5DCqN8+/hFxGHVUuYnMilsonirhYg1ajTXrkujcKvA amhcgUZLrdUqQSKFb6O1LsPEFz/tl6i4SuGw47BjH/Ha+pMz0bEU9rjrdnUR sxhXBrZfpCD+elKKTxzXnEUtCqdwpexzG5vYsO3Vl9YzFAqqlY2ZxHwmA7dP Uvh7y2W9VuIb7N5CLz8KGgdiq5uITbmz7mn8Sa5HNW+UQfydL5cw4Emh+J8w NBCndupHlh6koOp+RfW3rXu2BZzbS0Fk4SHN3x7s9fSwdKYgPHax7rcz+0Md xOwptKyLEm8kthtMsvhkS2Hjf33dv3/v53CebrI1hW5L2yO/15M1Vqmwz4xC ooNi5O/17hpnSq4yIevZIGLKIZ4UDAt1GlAoVzyb/vt6c6fEh/J0KDxWWZja TewqtJoXoEEh+NhOw35iEZGNDUbKFJrEKoNHiJ/Odn43uZJCmBq9X0B8cI5P UeUycj3dZ/jC5H6Iz7t0P06GQtyxLwvEiZ8v+F+ivQSF/R/j2FLEXpLPLsiI U3DWXuskTywpXRfI/IOCVslOX1Xi8sUdh+/NcJBx3n+NHvGS5dJWa8Y4WHL4 +73fz9P7FVr6wwMcJL/a4/r7eQtQsFYq6+XgEnPsmSdxrcqpWZu5HPxvsP94 BPEZ9fjhuV850Fc/9P46sbJWNv9LMwfLcjX/uUMcrttY6VbHQdnc2fUVxJoG P4oVP3DA0dRoYRC3GIpkd1eQ42Vb4jqJdTcaXDr1nAMr5s+x+WR/fbNJto6/ z8GX+tJpL+JE28cGjpkcaOsUhJwjNtv+fvXSNA5OGH7KTv69Hx1GRLKvcpB6 bY7kB+Jtbs5Vr85wYBcy5mhA9j990Kck8iT53vj1UQfiHI9LOVv8yPo25Oud IJ72fhbF8OTgjENi32PiogBpm96dHBQ0D4rpkrx5cEzLysKWA4WUPQwX4oxD 1uapVhzcDbodEkZ8cccpE6v1HLBLf7r9S7xbvVE7Q4EDscG1KcEkz2xX/dAc lOMg4TTXOZvYdImI+pbFHOx1rB+rJ1b5w0BpeC4HlSp3OnRIfv6kkpZsG2Hj wbhV+Bhxb0ue9L1+NthdZt4aJI+pT5WSP7vZiHVnGh4irnk9LJ7FYmNtiVJK LfGtNKeZiWo2wuanHnxC8t50l1RPbjobxqf9+rJIP+hu0eycSWKjK3PnP53E Kpus+C7X2IiKHkjX0CJ9qHWSJXyRjWMe4solxJQoo36fDxt38tOHm0g/XXyb +HKuGRs5K34Zb1lL+qw097m7MRtyN+f/SCf2yX/3rFSfjep6jaw+4t0ZQwWH 1dhQ7fFYnUb6UiXYMeulJBuT3aNXx0mf1mgvij/ewQKn2L6ln/TzKbGssXY2 C4uEh0J3kf5eydP32NbGwiEjFc1i4tMpuw21PrHQ+nTwcSjpf6VfaVTfcxYO uje4yhqTPKtZuS7gCguRp/KWxm6koZZVeIcbxcLg7ubGCWLGOYu5jhEszMT8 letnSvJurSdHL4gFhJXn7CXzR8vNv+NGDrLgtsCN3kjmlbVea9jBeixseeHd bWxNg2n6Zmu3Fgu7DoQUviGOWWJfvEeVBYWGtHvWm0n+ffSPNV7OQufHTmFn Mh/F6T7TE/xB1uMqx4rYSvJuyiQmvO0r9O4OfZTaQfIrfevaqIivSOwcjVQm 85zuv9fW7w79isqyF6girp1pNFc+/RULrFLkj5L5b+qoh0PVX18h5sIyyCfz 4RHDs4F/uH6Fxo3TAzZuNPQZec+i1nxFzZESh6ceND7PW2gc3c6EyDIvx6O+ NP40323h0sQEb7EfX8uPxqxTGbYqX5iY9NJ6PExsyFTdV13FRPjQUNclf5KX j8xDZz9l4smOwhWlJ0m/2wSWR8cwMVDcpON8lsbsiCaLGAMmNjqdnX0plvT9 AznXLm0mmhoWKETHkfv72cNnizoT1QrMqrjLpN9W9t8UXcGEcLnV05R4kldv Z/+IEWVCotFfGTdoyE0Z3Yxtb4c6W9bAPZ2Gzrlb3+Mi2tGwM9m1gcznEtnU dM/ZdsyMfTQUzSf5XqsiYxfUjsKI9c9NC2g8kys2m3u8HV8wlPmkkMwHr2qT Lzu142F+2KIHJaQPJ35tuqLSDuvaMulvb0k+nzmUFF/Xhun90953m2ioTuyz 2f6hDTy9gA1DzWQ/hrqMi79rQ0WWcPTmVho3z+84dOV5GzKeWoUPtNNoit6g efk+Od769IwrRcMpZUllzJk2vFgx6eDbS/qi6PPQhdVtcM9c6FooPA7bH2aO IedaIcP4EBGzbhyfdz0LdApuxeEDtkNaRuNwKVFLWhPYisoVviWM9ePwDJds 5B5thVJF4hrljeMIl+DvtnNqRaCf3JcWy3EUG0TvldNoRd32isWhu8YhH1bn Xt7SAt37DVJFPuMYmr/3hJB+CxZ7849nPBxHmMWJuvh/mzAq3Sq62GgCjwaY N6fPN5Ieazmt934CfWJ9htpnG6Fi+N4+v3oCugpTzW6nGqGaki2vVjOBModV S14ea0Sgm9A1+U8TqCnySj3l0Ijj2+zPirZOoPtUX2qPYiMo4cDgpt4JqI5P pTGqGMjJjF5pR94P/5KUMBYGA7WuIYveygjwRF2hbe1LBka664r0lwpgtM9K 9loBAwkpecNy8gLYvIpJ35rKgIhp+6ZuFQGOhEncKj/GgKWy4lY/EwEepSiY /DjMwJ2y12qsjQL05eu1LzvAQGBMado2MwGC2M7LzjgwYPCxYqWqtQBRZum3 9EwYUAxISG/dIUCNa66JhwEDaf6t7612CTDf/1X7dW0GHv67OLDAUYCUu6xl fYoMxFPq2y+4CtD2ov+lnDwD+0ubg3r3CiBfP73PbgkDL9U15ZzdBPDokRCc kWTggV2SyeuDAmQLKWY8EGdAQT20QclDgP8D6TSNow== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV13k8VOsfB/CRG6WFUEkqZN+yREQeRoqSLNGiIlK3i5BdRGUrLbaQnzbc ikhEqdRXoituxdinmTlnRpbEtXfGZPk9/prX+zWvc+Y5c87z+XyPgqe/k/ci Go22UohGW/i8cahKMlhiCm5Zeg5VRdAsWkN2HVIVn4J150M1BsJpFjLpbXeY K6ZgvDkgci123udRNctlU6Cy/NTB0FCaxUu6OlopMgWZNU6LDYNoFqRWjs/j 35OQrGCo98KXZqEnFFXH6psEk7dG8I87zaKtEIVav50EEW07L9VdNIt09LFw rdckqCa8W1UoTrPYHpxX1bNyEnzmi+3VqufR/rbl91yrJ2Cb8Yse52PziBUe 6tLoOQG0YEa+1PQccqo27N8mPgFSPwY+Dt6ZQxY7J20eVozDfGLnTMmOOZRL WVx64zYOZhP//f2SO4tI257MxiXj8PJI87D8jVmUS8adZz4dgxtGnTothrPI ck2U6fcjYyBz3S0rtncGOYcJtWYsGYOjksZpldkziCOXsH1X6SgcFnMQubh7 Bjme8IgecxuFuYkMm6LZ32jHoEnKHaFRaL4mWFRS+hvp7LCaIh1HoNk3sFjB +zcq73kbG1n8H+z4I1z7uMJvpCq1rXj19DCcsp5yeNctQH6xbjcKHIfhvZTV aG62ABWEXpAwzB0Cv1Mm81xnAXrx4a2l1OBPmE9tfWYuKUC37R+r91r9hJF6 F+OCjmnk55laVnVzEBQS1hU0ZU2jVRXKozH9P+CX/LeupuPTKPVoBzuD/gO2 eonrX1abRkI34n2e3BwAyysnpINH+Ig+S5RWDvSDfZaw68wbPgqeMs54b9AP PZ2BITsS+Ojizqeq6y/1QeCXLdVFznzk3vIl8E9WL7gqHpnIUeEjnf5ht5dq vdCxPGGVJZ9Cn7dXzUzHfofaDEWznK8Usum9a3eV1QOPHEfXXiyiUIVMnJmc Rg90SgdU1cZTaPSKdM+DyzwQyWPftDlNoe56HVpzLA+e1ch4fT5FoVoh2w1z 0Tzw+rk10Qk7PSL64JFwHrxYNlt7zJtCRmf6miT9ePBG1Fo83ItC522qKi67 8qDmr3CdancKiYgeTfBW58GdhhTluEMUGqGH5qer8EDL8EaiFHbXhZSa95t5 YPW9xTL/IIUKf9UJNmzkQVSoTM0HVwrZ9Wn7d0jyoPvCk8ElLhRKq58/uHuG C+dU/Y0KHCm0IS5fXf0rF5JZ8/fk91Joxjd7deK/XBhWkrGo3UMhlst1od5P XIjf+23rSexc1bDu+3VckIq221BoSyG5pj1XZF5z4WsIfdTIBltyfED0by70 c6pbPK2x71s87ovkQv2ks8YswudPMszYGc6FcZ5weyE2K1AjNi+EC5s2urBc sXOtpA8dD+BCWvK0ULk5Pr6/X7TDmwuFz+XKfHdg69w8Xe/AhcF37uyJ7RRa X81WKVDhgmAi2HOvEYVc19y0FVfiwq4LVimLsdMCLHwjFbgwI1G2qcaQQkuU 88sc5LgwSYaeNML+df1Ps9lVXPjxZcV11a0UYrhPOLrOkuCvcyFXTp9CK18X BL8XkMD+GC3C1qOQrbRrlhafhPQjPzruYNc0VLEWTZCQo2JfLI9donfhdOkA CXu3Oulr6lIoSXhp9JI2EmgWXhPOOhSqO/b6XlALCZ4x9YOy2PMvfWo5X0hY Gv96H0+bQqG+X0QrP5HQd+vhwXPYXu3paSeABOmyq3FZWhQyf7Tx8esiEsT6 H1z9pUGhSKHmRuXHJChGt56ow650uzic8jcJUQXvCtOwtSS+65++T8Lzw8uu 62Kviyh8K5VJwmnLS0WB6hSa3LO11fciCcu3fby2VI1Czve8Z+5dIOGE9EYB U5VC5ROZyq3nSWg+2zxejB2QOx1mEkpCYp5ZkhP28PA7OREfErZu/+1QoIKf N/qotcmfJOgYjqhEYhdnKvj7epPgVq19zQH7LxT3nuFOQkfoJZF5ZQr1pdie uneABL0WpwZPbOveyJsMR/z/enqp7MAuMCmuWryfBIubT9fKYHvxVi7ztSVB pHao8qsShUiDtlJjcxLW1zb/Z43d3XF8ukWVhAMQXmO/mULGmimKi5VJOGpi fV0fOzvm/V5jRRJM35hPrcF2VVO6e1eOhLjDi29zFfH9j/hB91lFQuwtPrqA rfdF1vfuShJCe3b+OoWdomh3q2UZCU7ooJ0D9v6mp/3bREhoyJdlKmFnmQzI LP1FAKfC4Fq7Aj4/b4+P/ygBdNEGhw/Y0sklb9sHCbjj9+ZVGXYK65xnHkGA xfSy8ynY9vHtFUuYBCz3uNkWi71Cx1jUv42AzmPv2gKxr8bMPjH9REDgA58m F2wbNY+5Bx8IqFOT+GCDLdJS67DkHQEbG4u9zLDrIpTzz1YRYPmwrUQX+7Ji 0lRbOQGjbNk8ZWx60+Bu0xICfqZKWq7HpgXvy3nwiIBJnn3yKuyoekl0NpeA HQR3Mw1bvUFjy9YsAm6X0Mf48hTqaKRvEqQS8H2y0WUc+9LnI+I11wg44Tju OIS9pfncfHwiAQfddfv6sFmMqyN7LxEg9mZGkoed1J5HrIom4GrVly42tmHX 66+dYQSU1CsZM7F5TAbcOUfA37uu6HVi32QPlnr5EaB+NLG+DduMXHRf/U98 PSpFkwzsHzzZlBFPAsr/iYIW7Mxe/djKYwSouF9VWbDVwJ6A84cIEF55XGPB o4OeHpbOBAhNXWpacO5wpIOoPQEdW+PEWrFtR9MsPtsQYPrfUP/C7/0aL9JN tyKg39Lm5MJ68qZq5Q+bE5DqoBC7sN79fKbEJhO8nu3CZhzsGcE4rdeAgGqF iOyF6y2cFRsr0iHgifLKzH5sV9pmboA6AaGn9xkOYwsLm7YYKRHQJlobOoH9 bLHz+5mNBESpUkcE2MeW+JTVrsPX0x/GE8L3Q2zZ5QdJ0gQknf66Qgz7xYr/ pdqLE3DkUxJbEttL4vlFaTECnLW3OMlhS0g1BTL/IECzYp+vCnb16p4T9+c5 kHPBX0sPe816KbrWFAfWnPhxf+F5+rBBU398hAPprw+6LjxvAfJWilWDHLjM nHruid2oHLRoJ8mB/40On4nBDlNLHl/6jQP6asc/3MBW0sznfW3nwLpCjX/u Ykfrtta6NXGgauni5hpsDYOf5QofOcDRUO9gYHcYCuf31+DjZTqSerF1TQ0u B73gAJ35a2o53l/frdOtkh9w4Gtz5ZwXdqrNEwPHXA5o65SEn8c23/th89os Dpw1/JyfvrAfHSaE869xIPP6EomP2HvcnOteh3HANnzK0QDvf+qYT0XsOfy9 8ZtTDtgFHpcLdvnh9W0v1juLPef9PI7hyYEwh9ShJ9hlAVLWg/s4UNI+KqqL 8+bhaU26hQ0H5DMOMlywc45boUw6B+4F3wmPwr5kF2RC38YBduUvt3+xD6i1 aufIc0B0dEtGKM4zm00/NUZlOZASQjrnY5utEVbbtZoDhxybp5qxlf8wUBxf yoFa5bs9Ojg/fxFpa/ZMsOEhnx49hT3YUSR1f5gN7D5zb3Wcx8TnWolf/WxI dGcaHsdueDMulsdiw5YKxYxG7NtZTvPT9WyIWp557CnOe7P9kgOF2WwwDvEb ysP9oLtLo3c+jQ19ufv+6cVW3kHnuVxnQ1z8SLa6Ju5DzXMsoUtsOO0hplSB TYgwmg/7sOFucfZ4G+6nS+9SXy01Z0PBht/Gu7bgPqssfOFuzAbZW8t/ZmP7 FL9/XqnPhvpm9bwh7AM5YyUnVNmgMuCxOQv3pXKoY94rCTbM9E9e4+M+bdBe lXymhwWccvuOYdzPQaJ5U91sFqwSGovcj/t7I1ffY08XC44bKWuUY4dkHDDU /MyCzmejTyJx/yv+ziKGXrDgmHuLq4wxzrOGjVsDrrIgNqhobaIphVTzSu+S cSwYPdDeOo3NOG+x1DGGBfMJfxX6meG82+LJ0QtmAURVFxzC80fHrb+TJo6x wG2FG2WK55UtXlrsUD0W7Hrp3W9sRSGm2dvd/Zos2H80vPQtdsIa+/KDKiyQ b8m6b7UT598n/0Tj9Szo/dQr5IznoyTd53qCP/B6XGVZMbtx3s2aJER3fQO9 e2OfJO1wfmXv3hIX8w1SeydjlfA8p/vv9W0HIr9BbdVLqMNunG9FSiHfYAU9 Q+4Unv9mT3k41P31DURdWAbFeD48aRgR+IfrN1C/GTJi7UYhfUbR8zitb9Bw ssLhmQeFvixbaRzfzQThdV6Op3wp9Cc6YOHSxgTuaj+eph+FFgXl2Ch/ZcKM l+aTcWxDpsrh+jomRI+N9V32x3n5GEUufsaEp3alGyrP4X63DqyOT2DCSHmb jnMEhRbHtFkkGDDB1Cli8eVE3PcPZV37tJnQ1rJCPj4J398vHj671JhQL8+s S7qC+23j8C2RDUwQqqY/y0jGefVu8c8EESaIt/orwU0Kyc4a3Urs7gY1toyB ezaFdM7f/pEU0w0t+9JdW/B8Lp5PzA1EdMP81CdDkWKc743K0rbB3VAas+2F WQmFnsuWmy890w1fYSz3aSmeD143pl9x6oZHxVGrHlbgPpz+veOqcjdYNVZJ fX+H8znseFpyUxfMHZnzvtdGIZXpw9Z7P3YBVy9g+1g73o+RLnyx911QkycU v7OTQrcu2B2/+qILcp7Ro0e6KdQWv13jygN8vFXIvCtBIaeMNbUJYV3wcsOM g+8g7ouyL2MXN3eBe+5K11IhPrL5ae4Yfr4TpBkfYxK28tGX/c8DnUI74cRR mzFNIz5yqVBN0wrshNoNvhWMbXzkGS3RSp7qBMWaVC0lUz6KFucdsHXqhEA/ 2a8dlnxUbhB/SFa9E5r21qyO3M9HclFN7tUdHaD7oEWyzIePxpYfOkvT74DV 3rwzOY/4KMribFPyv20wKdUpstpoGj0eYd6au9AKM4KOEL0P02hIdMhQO6IV lA0/2BfXTyNd+dl2t6BWUMnIl1NtmEZVDpvWvDrdCoFutOtyn6dRQ5lXZpBD K5zZYx8h0jmN+oOGMgcUWoEQCgxtG5xGKvzZLEYdAwpy4zfa4vfDvyTEjYWA AY2u4aveSQvQUzX5ri2vGDDR31Smv1aAjA7TZa6XMCAlo2hcVk6ArF8nZO/O ZICwWfeOfmUBOhklfrv6NAMslRR2+5kI0OMMeZOfJxhwt+qNKstUgIaK9brX HWVAYEJl1h5zAQpmO68Lc2CAwaeajSpWAhRnnn1bz4QBCgEp2Z12AtTgWmji YcCALP/OD/T9ArTc/3X3DW0GPPp3dWCJowBl3GOtG1JgQDKhtveiqwB1vRx+ JSvHgCOV7cGDhwRIrnnusO0aBrxS05B1dhMgjwFxQZgEAx7appm8OSZA+TSF nIdiDJBXi2xR9BCg/wNHswaj "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJxF0XlIEwAUBvApKaQ5JIs206alEplDkLKUpgsD3dTUPDKVzJyQzatSl3gX eFYS0sRCcXmgROYEw5YuzYN0HquxzLHU1M15TJtubmmtgnrvwePjx/vng+eY kBbGMiUQCEF/9m96MUm+HhYfhYR/Q6oZ8Ck3QesW0n3m9GIwP/8D7ZESfYKf c25lAG1Llns9L0AbFA2nbLST4AyzqEiFcAJstDmTeZw4CnYq0witXgyBZ7LF y9qr/eDIfdK3vikCsL1OsCPr5oMtaNSabS4P7OCeldV93gnMfC3LXHRv8Plv eqcjvVjbAX7Zw0tjdr4BZyevpZbw+sAl0mB5s/8Q2CiTUo7Vj4AV9EayPGwC bMdtJjP0YrAh+qF1OEUCthojze/ekYKllV0UCW8KvavzZBinwZbuzrO9IXKw tj1Jcy1nBu/pzhuhqllwFtXRrtzkGzh33KaKfmAeXDf0OcOftgC2ZTWVJoUv gjti/KwkRQrwvMf0l3etSnAa/65soGcJfKhsmUFSqcBkc9Z6MWEF3JUolbH3 r4JTD5NPN3uvgQs5rEFdiBr/4Xav/0neOvipX8QPF+YG+OT1RM9+CXrULdbV LPk7mDs61X1Ji844SDMGVGqw32TdUoHDJlgdd5/d14YWc8Na2ny3wHONTbn1 InTv0S3tpwgtuDXQ1eXVMrovQLnBzdSBJdGF1D0c9NINMjs9B00sZyr9C9BX RtrlhlL0FoMzEvMM7RK4t5HyHn02ljdXMYgOZHtT9MPoW5UptZMitFAkriqS oi8H1ebNq9A34zwEF1fR+SkivUCNbnrw63b1JlozlpB84Sfa7OtOS4cRTVJX L9qbboNpxOF4nTk69Eh8XcJedCLVIBu3RHNoj8neRHRFsGtUizX6N1PfTOE= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJxF0XlIEwAUBvApKaQ5JIs206alEplDkLKUpgsD3dTUPDKVzJyQzatSl3gX eFYS0sRCcXmgROYEw5YuzYN0HquxzLHU1M15TJtubmmtgnrvwePjx/vng+eY kBbGMiUQCEF/9m96MUm+HhYfhYR/Q6oZ8Ck3QesW0n3m9GIwP/8D7ZESfYKf c25lAG1Llns9L0AbFA2nbLST4AyzqEiFcAJstDmTeZw4CnYq0witXgyBZ7LF y9qr/eDIfdK3vikCsL1OsCPr5oMtaNSabS4P7OCeldV93gnMfC3LXHRv8Plv eqcjvVjbAX7Zw0tjdr4BZyevpZbw+sAl0mB5s/8Q2CiTUo7Vj4AV9EayPGwC bMdtJjP0YrAh+qF1OEUCthojze/ekYKllV0UCW8KvavzZBinwZbuzrO9IXKw tj1Jcy1nBu/pzhuhqllwFtXRrtzkGzh33KaKfmAeXDf0OcOftgC2ZTWVJoUv gjti/KwkRQrwvMf0l3etSnAa/65soGcJfKhsmUFSqcBkc9Z6MWEF3JUolbH3 r4JTD5NPN3uvgQs5rEFdiBr/4Xav/0neOvipX8QPF+YG+OT1RM9+CXrULdbV LPk7mDs61X1Ji844SDMGVGqw32TdUoHDJlgdd5/d14YWc8Na2ny3wHONTbn1 InTv0S3tpwgtuDXQ1eXVMrovQLnBzdSBJdGF1D0c9NINMjs9B00sZyr9C9BX RtrlhlL0FoMzEvMM7RK4t5HyHn02ljdXMYgOZHtT9MPoW5UptZMitFAkriqS oi8H1ebNq9A34zwEF1fR+SkivUCNbnrw63b1JlozlpB84Sfa7OtOS4cRTVJX L9qbboNpxOF4nTk69Eh8XcJedCLVIBu3RHNoj8neRHRFsGtUizX6N1PfTOE= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV13c81d8bAHBKSSIrO1IkaUg75UEkGaUoQqSkJEQptFCSRCgrmZkZGRmR x85KGcn4CmXPez93yLi33+f31329X+ee1+c55/Oc8zwfOVvn03bLODg45jk5 OP7/e0hfXGP36jYMNBlIMbZZQPHIGgjgbMO9Q+bTQ5cWkDnkAoN/WzE38cqy O/YLmPegQT14tBWTM5W8IpwWcGue55HJmlYUfLZcoeHeAkpK9B1KetiKflnK 3pORCzg/krBXmPEdu3a93C74fQFvrjh3dgS/oW/mrkNqBxcx81nbBdmsb+i5 sVgx4/AijvAZ2ZtFf8NkiyftohqLeF5U527jrW9oxZNsM35sEbUUd0dnK31D 9fmqbW4miyiit/aXe1gL2jsdcRZ3XsTiwC923PZfUShZdFdS4iL+Ez5wewt/ EyZaz95+t2wJO1i2q+OXGpHVZmluuGIJ00ZfxIlNNuLVkNJddO4lPF36p2Fl fSO+GRioUuNbwne2wTLD3o0YY9N5M09sCY/njnxJYDRgjsFla/VtSxhq9FpS qq8en2kd3N9xZgnlnxHIl1mHD5Isb0u9XcJ+rlibvug63P9SSVktbgmjH+lx Zj2rQy/VQ4LmCUsocDdey8C+DvNyFG8GJy/h0hWj2oCNdai4V+31SNYStmtn NHJH1WLriL8olC+hD4ftD06/Gnz3JepcbN8SHrnH5956qwbb/V2CnvQv4d+5 YtGESzUYZLua//rgEjrNrjXT0KzBUN6kCZXhJTT/9bnnwVI1dq1S2Jk2tYQq ZRIDi67V+NnsdJjOIhnvndYJhnUVJvLs2qcpxkLxX3GvThlWoW9xe5GYBAtP azupvz9UhY4xbcZTkiysEeANtVlXhQuDrW3BMixMS9c+2NRYiVGep+QrFFjo 2lv0NH5vJYbb3umv283CFRArr89bgcJcWy67GbHw3onuGH0qouR06jf+Uyyc FXWncDQjjtwXdE0zZmFHTk7EdW9EeaqedacJC98ObhzRmCrHqPAJurQFC1V0 eHwnKz+jWXx5t6k9C8+u6SzTuFGKIQ1Xuu89YCErqVXJ7UQpap7w2N7wkIXv 1L6GJyuW4otNJ9aIeLOQcKhxWf37E+46x3JM9mVhcEOefMfZT/jjp3VLoT8L 6/2CA+01StAi4mD6q1AWHuLUswwSLkIRE8HbmsksHIzUbqigFKJBboCrTQoL /VU09tG+FqLfwz0CD1JZ2Gm9X8DMvxCDSpN3fExnoVu5Qo0c6yO+b+jgEc5m YabXsm0fRwqQkJOuf1HIwvXM0sXekjx0uSZR4VvHwgpblqf8qzxUuOJkFfiF hZe/qS84OuWhQPzHW2H15Py0yr+sjXl4PHK9yNtGMj6LLwzZwFy02W2vHNvC wnMVbbOXLnxAQyG7y2adLNy4rv3LzxWZGPTm5LK8IRZemzGtu/rpPVabeOg+ H2bhhy9dNfNO77E0xmr9pREWguevSqmuDNz9RugB/xgLLfvHS60z0lE88dxm k0kWhqdzfBg1SsWNfjUZb6gsXK2+I3IuIhFdC4fmZVksnLiQXzNmmIg2ZTwe DaSbHh6gdi9PRCYnM/0mm4WBlVonypwTcPW/e5vK/7Fwrc65pUe68XgxOfeJ 7jI2KkZyVIrMvEFnjoan0txsHOteLTln/gbHHntczSWdIbXOrbs2Gpn3J5br rGLjtjglhdi3Ubhwd9uNqzxsVEk5/UzRMAJzNLjF43nZeKjgnfGhzFA8+fSr TvtaNi4ysjOkxUMx+9J6IRMBNpbtL1n+zzcE4WJaQjtpKP36sdriJUpcD1rz TZCNTx9P744WDcQv9jc3FAmzMTo+pAY7fNAjk5lnIMZGafkU98eZ3rg/8yOl hHRc6qcteo8f4R9q3ryCOBt1rb5IJNvfQzFzY+cF0uc9rmc0KrihXt895itJ Nm5QcXcv0ZLHwVn//pfr2TiidS2JdvUAXJN/wTVMeqZlJWeihyFsFw7YdECG jR6NExFLHDYQzrN4qpf0glfsJaEkF1CoCrm1bgO5P5X+14qaXOHdbqVbF0mb c7s5W9JvgfXWcpdM0sWhul4pOh7Qe13HFuTYWGpyV289/RHMxgSomG9kY+id G83Oq3zgWvg3ubekHaJtT1ZJ+0Lh216hAdKSAwam9jpPQDw6i2G7iY13r8td zA1/BqvSFr5YyrNRStOuLFE6BAR4tKc3bGajX1s/qyklBGIG6rlMSROXzgND JRSUfqbK+ZNu9DtZpasTBi+HuxwnSXs2H6yfuvEaEvLrT6cokvthVcAj+vc1 8NzriW0jfXp2hz74hIPII04ai7SSkHxLSHgE8NFbCoy3sLHrHH/HPoyC89EK qdOktcf919noRUOWUdxhISU2fvBcfu5ZezS8/pD1317S/m//dveOvgG5ffVH PEnTd7hJrXCNAa19t/5Fk7apmLbcsRQDRAy9+RPp/X9+9z8SiIWls3mBc6QT b1nJZUTHQqtf8EORrWzkX9ll2y4fByqdjx6qkHZ7NUKESseDT2B/qh1ppb6k sNSL8UB8m/r+gHS/wsU9ZSnxMDxpuCqCtH5R7+1hlQQwvKKfVEN61Vk+4qtX AiSmPWzsJV1DV3cqrEsApXU8P6mk1VUTrzy1TARnkfwESWUyv7+3/3ZOTQS2 Z5zNdtLFziuszYhEsMq/uxJIq2ZdPafknwQvtJ6vsiY9qx/dLtieBPX10XY3 SGdONJ1cWP8O+s/sfO9J+uozVtPvq+9gWiSx24+0wpadx5vy3wHvEQNqCOnf dTY1+ex3cIblR7whHWsXqhGjlwx9fu/73pG24Kope/wqGWpWC+dnkhZPYhy4 0Z8MGz+JuuWT/qGp+NF0awrw162VKSEdOmC2S/12CiRbnyv4TPrkw4CszRUp wCo6tq+S9BqZMqW1vKmwm2P/u2rSDWXTyXOmqXDhmje7hrSfhezGgfhUiJR/ qFNLWmvhVGz9ZCos2j7z+P/4v0gfydx9aZBgOh9dpfz/818QHuWdBknbt2Qg 6budw0I+zWkgKe2cWkp6722xYAexdJA7rRhWSJoQ1uM9Y5sO3zkybnwgnZPn +VQtKx20zE/tTyftaJy5XP5vOgQHulHiSStR+h6uOZoBrU2OURGkR4LWLtFf ZMCm469VX5BO2q55t68rA96qHivzJm3T7Eqv3fQezMq69t0mvf76O5dsp/fg IpqSaE+6h6dzKrzkPSzd5OYwJx2Rxn3tIVcmiHGcPalH2kT34LD9yUzooU68 PED66+OYvgPDmVBeYzAlTDpgU4u5nEoWCK9qXslB+ljVvx88Xlng7sYUmSTz qeKfbUuPQDZ89cvlKyd9P/bViWqLbKC/pP9NJn3oSF3d+5RsCH6q2x1IusBT Ce8dzoEAtrfnOdI3JSzU7J7mQA6f+GE10juKA4sM23IgTFKIvp50x8LcubV7 PsCOqIvHB8jzY3TA4tRAwweYlv0UYEY6k/tWkMnsBwgWLOPeQ5r3Z2BzvUgu mHQ/us9Puv52+fFc61yIOOdjUkGeb818OU0fRi7sXZFbLEbaoajXzkM8D1bI xXPNkPfDq9LXAS5qefDsocqNatJj1TwdF7zzQO2P8uvrpIM6qFfU+PJhs4Wh bi55/xR3vX+uqpIP7okrHz4i/fs/uw9KZ/Lh9bjRDyPSe4e758Wi8qHF1PfX mAIb/2NUBtLlC2B1mZqDEOmVC165k7oFkCe2/W0PeR+qsPd2/nYogKMqbygJ pH1XZsi2fiDH3Yfmt5PeKhaal3X4I8Q4Tcao/f8+PWDbdcWkEDJsbphvJ+/n xMPSLKs7hTC0Re/DKHl/N2t0yplGF4Kv+gHlBNKyeieuHx0oBKNC2SBB0nXm qmxZxyLoCke+MbI+CHstk+/2LYYowQQ5R2k2Zn9OdNbP/wQpMT0r20TJ/Y21 uB/64xP4l09vdyN99YHI8+65TyDB2/9UmPRG8EuxP1wKAf6yP4zXsTG84lqf b20peOpZ9NSQ9fBBtYp+2c8yaJMoLHhM1k+jhvLN25fKofiOfbUjWY/fp9/Z c0sGIVayOZJO1utVASpapRpkmeXTSPEiXXUi0UrvCYKi6ty1p2R9lxrRalTl roDkUN6o1yvYGGy/mfPkywqQT19XEsjJxjsO005PEyvBts92zehfFm6hpEzJ fqyEfQf/deiR7rpt41D8pRIsB+OL3s+x8IB3u934VCVIT0Q1OTJZOB9RYqm/ vwpqkydVh2gs9Kp9cmJtcxXkrTLZlDbDwocbZDZHMKohaxct88kfst9M+Zm0 c1UN3E+SW9n8m4UDyiFy9ZI1MNx/+oEgaY39XOvnoQb+bVZvjhpgIafRhLBF QA300D4NxvWx0NerkFNWthZUC+zW+vxk4dNOo76U43XQt1PzbBzZv8UwzVo4 zteBcUiNTFcDC/NEL+H563UQVj+4WYD0r7N3EviD6iCK/zTzPtkP7vsZZ+fe Xgefgypenaph4fBPyrTOhS/wulJnsPUzC492h7KH3OrBt7LpiM4HFv7r7ZTd FNcITTQ3ORrZz4YLlnMTuY1goy+WMRrCwh26ybMVNY0w8/WXae9LFl7Ic8ML E40Q7yQsVhHEwjJ/AevovU0g252o+TCAhXf3nogVbG6Cq1u6jnb8v58O+izN Md8MF6yf23Q7s3BE851E3+lvQLFXKzytx0LpiBSJE39bQf9k9HQlbQnnzYME TGQ7IGqmMkskcgn5vor/WbrVCcnjk58eKy5hZ2ChbEdiFxwyOhnbnbuInUvM /Sf+9YDnZYXDO+UXkVdFYaD8VB+8vSTP1glYQEbOFeKiZz/cGXRYxj09j7wu ChTj8QG433qi1Wb3PLrvkJMO4PwNjQYmgavv/sV7LcIvNUX+QOqaJQOXgjmM rft587j6EKyy8JG37mSipF2y/xWTYdAMfrlQwMXEXAttvg7vEXAOvZmrsI2B QvnuFW5+I5Di5KHLqcRA19XpbsLPR+BI/IGMXwoM3FPC13P61Qiw79mPxcoy sFj0Z0pryghcTjvbQH4YY3nrNY1vTSPw23JKuHKBjo26wW6N60ZhNuBDyPUm OirHVW52kBwF9fpFeFZPx0AmrZtHdhReY4dmei0dDZPNNPS2jMJ5KQMjCtLx +7KNfPWHRkFBQ3Q6uoCOnZ8LUmqtR2Fkt5qZXSwd/+zu6a5IH4WWWV7/ITc6 /sodGBfIHgV8yCny8CYdu3aOztvkjUJ3+655KWc6NivTJThLR+HX9PKflg50 LNjEf16zeRTqKz24Fm3o6Ces1VM5Mwozt0d2ZRjRUYmW3lO1ewwUP6hhrzId 5W9+mBA6MAbZDyI+VyvRUWa2cMH28BhYiRrtzlako9BkteRynTFQO9n/JGAT HRd+950/enYMhNOlvtlIkc9vE+ytvjsG1+4vyD3mpaNznkdvzecxEBV9opk0 TcPG2/uVXKvGYPXKLtf8SRrKH2S4y34h57vaPagbp2EPugh5fh+Dhecu6xnD NNT+aq+3888Y6GhGGNz6RUOJMdOiqFXjwOebOP/3Gw2r16uGOZ0ZBzFNlyn+ jzSUGZwdkDIbh+CLvJPu+TS8+y5rR4PlOCRo/Hw8mEvDHcpKjZuujMOzsheP yrNpGHlgA2f33XFQfztvGpFGwxtn+J2Pxo5DSvyITFUMDcWeTZwQHx+HoY8a p8b8aLjG7R7j9vQ4dH/3Mi14QkMOK/74duo45C3FG/s8puGYiiojaGEc+nfE y8v70Mh65BG3Ys0EVIapzD64T0OzLTx0YscELL+2cyjoFvn8L4pvv96agKW0 FouVl2kYmFuiq+wxASr32MZrLtHw0Rt9wv/+BDDHNaaFbWl41dlZV9tvAuJb I1ZtsaHhAbEi6qeICdCbqHh2yZKGXVeOHUv7RPqpt6eCKblfK+1mfTgmYbDn pE61Lg1fNYlGNHJNwud/U3+WjtGQP6ReXYhnEkwKHjXsJ71MeltQguAkGLWe ssnVpuHULtq2io2T8GGB6ZWvScMKK28HlvYkfOx3saeqkfF8fDt859kkVCmp +WnvouFvz5Mv8MUk1ArWJieq0NBKg3Mvd+gk2F3fWstJ+nTT5cfh0ZOg0aC/ WLWDhocHlTd9fD8JirqwxngbDdfyfbIhvk7C68uxi1GKNCy83NnrKDQFUq1j 7O8yNAxxhkpBsSnov2HVC6QdPdNSCqWmyH4+PDpnPQ03vvS8yaEwBcdyGopC pGn4olSG+9X+KTjXf2WrjSQNLwvZq5ZaTkF6w9GBTaI0FKqY8+dJnQI/Xz7W Pn4aOklJ7EtRm4ak3gwLUQ5yPQZn7y7CNHAlPG3J/0fg2Qdhn05pT4O7x5Ew Y9IwyAeLBtNw/YXxmiA2gQKpy46fujANaVdGw1azCMxTnTJfeDQNAS6YK7BA 4Jwe3jeqmwaKZmaILp3AR3ftapmnZiB+7dkQ0XECTWfNddJNZ6Bnpv184RiB W68Y1Vqcn4GjWq82niXdfmZ/bcWlGeB/Lpj6epTAzTt5agPcZ+BMgJuFyAiB zcOZNTIxM7Dd6d72tX8IFDtDrz42OgNWKZu9Kf8RmL3dtyr8/izci5gwE/1O oHSTfty89yx4bt8zlfuNwICrIvcs/WZBRXhQ1ZD0laTkvRuDZ2GxxbnTp4VA WYn6tKz4WXAQyD4/0UzgSy6+4JrqWShjrfNMbyCw5EbT9nkuCsQ8/qs4WEWg S9nOmK3cFMioP3TkJuktvK9WW/JQwE3NZoSDdHia5Wg5HwXutT+hyFQS6Ppn Ov6xKIXsF8MaTJFcv7mAiMAWCrx441WSVUrgG23Thc36FOgQTB75l0+gqLee vaEhBfI9z2zwJf3y85EOt5MU+Ko62bGC9ON9m7MrzlDA/snJ9zx5BDptmbt4 3pICx+0O0Vd/IFBjTVTDixsU0I7k30V7T+BQ+3+R9GAKrL/jttUkicALAq0r pEIpUNc/x1ubSGCXQa2r5isKLBzfbbCX9NfaLIOgSAqcoWoPCycQWFj0gGNL AgXWXl1zsSGWQP83G65a5FGgzJooFokmcNuly/urOijwTcK8ePNLMp+09hwV +0mBV0kvi9yCCfSW4zrp2E2BzzqhPzGIwM7+pCuivyigeM/ktukLMl8s/7x2 GKVA5UkPbvcAAjtMbelCCxQ4/OSa7/PHBN47bpN7SZYK5i/Kq/7dITBFUeVz sRwVfCJS3+4g3bqSo4FPngqzyoq3LN3J/KmNGyjaQoXMPvG1H28R+F2zf+0a VSqcbeLvNb9JoLzaBacCbSo85PL/7OJAYNN2S+UVDlToNhA53GRBoNaGcDtV RyoYZlb7jJ4n8JPQ9zhrJyo8yc+sWUY6be6oyCdXKtCNV+zbZ0a+j0pllpMX FSIWq3NfmhCobrrY0hVIhQdXBRSEDQnMvRftmplDhQXJycJjR8h8ce7I7M6l QiTPgI3GYQLjL/KPriyggneRztABNQKDjvlYXCymgsWdPtfNBwl0EHDQFq2k gnTo62DaHjL+dwdFH7VR4fbzgQaTbQRGNHWVnGFQ4eWJd+eUJQkst5kJzZmj wmapwJIhcQJHGMsdeReowAylhseIEbhnw06ZajYVtnGfKudeR2DbrSc+qqsI OK6xL7RpLYH8Mqr6glIELP7e+4d7Bbk+l+f/tWgQ8OfczRbdGSpmrkj4uPUo ASIUWZ+vU1Rsjy4M8tMh4ItW1H3jSSpurB3UUD9BgHe8k47JGBVR4kBy1hkC /F33Tmr/puJC1dCNwCsEnN2zd1XrDyreXKf+Ty+QgLZW3tSnpVS0jPzTGR1E QMnOo4M9JVQ8JvUse/IlAQ85EtS2FVNRWq7D6sVrAhK6f+o1FFCxbptD2fdY AlYUVEZPZVFRSjvc41wuAUVWn6w746hY6zpDu9xJwLr68uwtPlT8wAhr+thF QOtr3UOHH1Ex+u7BpJW9BNC56KmGD6jo8uDx6bR+Avotm+UcPKkoGSCZOzlG wFBp6ulnrlR0Tjjm5LpIjnuV5lywpaLE99ixhxtoIP1KKsBUg4qnrmTPpG0k LaLJo6tORf+lz/RWeRrUiVi57jtMReaWPg55JRrUF7Ln+Q9QscNbSqJ+Fw0q j4q+S9lJxaDdkXoCR2kwnM/1wkmGilwRIRnxdjTQvtLDMF6goNr2hA8N9jR4 krM6ZmmOgq7VHwqJazQIyhUafceg4ODstyptJxq0GovYzlAoWH6cv3fMnQaL sl/SLo9S0GMhgHeXPw3Gu3fb/NdOwRmrx46VGTTYy+Q0Hc2gYGe4s6BEFg3W 6sm9WZVGwc/fzhe65NBA6Ydh2eZkCgZq7uLYUECDmo+F3uZxFNyq8CvswWca OF3cUBgZRkH7qf2lat9pILJWK9vTi4IDnpM8hQwamO88XJ17nIL1+Z3ZfH/J /+sXKdvrUDBnqvKM3QIZb+BfQlyLgg8uRL4V+UcDd3WrFzfVKCitpbPLbRUd TA3FPZnbKWjGE2emIkUHEdvjgvpCFGyNOJ2aoUGHptm0TYs5s7hyKNWzR4sO YalH9abSZvGQCstwtQ4dtoSYr+5MmMXE+lT6NT06bD6hphYWNotu80uaSqfp 8NavwCrffRbXWaT+l3qJDneO/KjyUZtFc5klwWQ/OnyPCD4ijjMY5GA83OFP h54cKcPVRTNYVZhSzPWcDpdLR0po2TO49aSx9eVgOvD0X/fMjJ3BxYcpmZsi 6eBeFKJZcH8G3w6e0k1Mp0Nb0jE1oUMzOPgu+V5cMx32z0b9zXk/jV2/Aoxq Wuiww0FuNilxGr+Lu2wY/04HL8007qCoaSwPPFSj+oMOSvdoV7WfTmPMrW+8 dX10uO20x+6A7TSaac9HT83QQTRsqnOnKDn/j0HJQUEGGI5be0zfnsL69arP Lwgz4GyhUNnT61OI58SsfNcxoPvWtKjoxSnMbhrk+CrBgD6R2838BlMYmO9+ 3GYjA4z0a7Y7yU2hrm/8T7/dDOCxKn3U1jCJ5RvpjHZTBpzK4h2PEJjEK/8K riiaMSCq9HfYk+WTyP/f7Z+e5xkgqkeZuMicQKvXc8Vy1gxYEfRFbKR3Ape4 F72crzJgVbaHjXjKBB6c5lzG68UA7otuY8v3T2BB0Vp+rXgy3jhC8afeOFq+ +v7gdSIDLn9efGp4aByX3wyZHXvHAOsUjn1ZW8fx9Fbh1uB0Mv4CzveKvONI jRF91ZfHADFtR4XlTWO4w2e9pEctA9yjYwnZY2OYbqC8+cMEA2aUiR3SW0Yx 9vDZ2t4pBtzvi9d9IjqKodu8L3PPMuCntRtPO9coeq75mXiBxoAS40fGUoMj aNDsI8u3xACGOueas5EjOKvfI+7AxwQdidG+rZwjOKS2ovj1WiYcGOy4WzQ9 jF3KKucqBZmQ+yT9+KaeYazg9XstLsqEuUA9RnjeMIY27RL6IsOEfUsCer8v DuNe/We88ipMqDvrYJ9UMoRb1QoyTqoyocex4Pd00hDKKPfree1hwnveqlUC QUO4knevf9sBJgQMrqB3XRzCrsYBLm9NJjyNW6nkyD2EXicOsPtOM6E+wIPF deIPVuqNUiJuMyFx//tCw9RB7DB/tIPrLhOoYbufND4dxLFrEo4unkyw2Xxc g2o/iPwB+qPHHzJhkkv/5h7FQTzfmNM378+EkpV+e0wTBpB+4m6jRQwT4pe3 mfou70duC8FV9bFM8FqkH3Yp+oWS1zN09iQwwV7SUf+cwy/UeP5fxZoUJnhK te+jNffhiyaNos85TLB2EWFbPf4PNxvwvJOtJuN/8ditPrcbD1omDj6vZYKm TlPZrlPdaOCoJvv3CxO2shrZ5VNd6Bp4I/p7M7nfrh8FRmS7EJtbX3p3kutr uH/T5Hontv3n0DLdxYRon4mS1rkfODK1fM35XiZc+LdL4ab3D1zDt++p6gAT 9mu3Veg/70Azw+j7f8aZcKnEftjWtQ2vW+0uPTlFvp/vX3NoA6344Ebz39IZ Jnzk239i64lWTH7BdntFY0JbcWSG/OrvWPw2IpeDyQTuGwmCX8tbsDlLZdbx L5kfT+UUHc2+IvHV1kGHxQSfwpMya4waccWvxdTcf0xYrzVUfCOxHsVnXg2v XzYHGWnjoc0/6lCZvX1TANccrJbxPPu2vwbV+b/YMFfOgZLrbteveVVoLGMT a8szB282mTU4H6zAyzvme1t45+A/U3O/pZBPeFc9VEKNfw5iG1mfcsfz8LmR 8rlUgTlYHxkf71Psh/8DToVFhw== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV13k4VV8XB3BKSSJTxiJFkgZpTvWlSBKlKEKkpCREKTRRSZJKg5KMGTNk yBA55kwpkQw/oczjnWW4t3e/f93n85x7nrPO2mvvtY6yvethh1l8fHyT/Hx8 ///dbiSrs2H+dyrIrCve1G4Ksi/LEcj/ndrUYznac2oKnB43dP9toDJizsy6 4jiFzBvVux71N1BxKeo+oS5TWJXpvXO4vIESvz9btfraFOTlOrbH3myg/FM1 fIdfTmGyL3qTJPsb1bL+8Rrxb1O4OOfY0T7qK3U7Zf127W3TSLn//YRS6lfK e1meWvKOafSJmDhahH2l4qzuNkrrTOO4tP7VmktfKRuhOLvBvdPYrbYhLE39 K7VrsnS1h9k0pAwX/vJ8Wk85uux0lXWdRl7QZwdBxy+URJz0+tiYafyT3Hp5 pWgtFWM7fvntrBk0ce3nR83UUNzv1pbGc2aQ2P8wUma4hjr7pGA9S3AGhwv+ VM+tqqFed3WVaovM4K39I8Ve3xoq3K75YqbMDPZl9H2OZldT6QdO2+5aPYMQ k+fyCh1V1P3d27Y0HZmByn0GJZJSSd2Itb6s8GYGnQIRdh1hldSWx+oa2pEz CLtlyJ96v5Ly0doubhk9A7GrUbsPOFZSmelqFx/FzWDmjElF4LJKSm2T9vO+ 1Bk06iXXCL6qoBr6AqRRNAM/Pvsf/P7l1NvPr45FdMxg5zURz4ZL5VRjgFvw 3c4Z/J3Ik44+VU4F288XPd89A5fxhRY6uuVUiHDskGbvDCx/fWq7MVNGtcxT XZc4MgPNQrmuafcy6pPF4af60yTeKw1DbNtSKkZo/WZdGS5kf0U+O2RcSt3O a8yVkePisJ7LrnfbSynn8O+mI/JclIsJh9gtKqWmuhu+P1LkIjFJb1ttTQn1 yvuQSrEqF+7tufeiNpVQL+yvdFZu4GIOIlSMhIspSYGVpz1MuLi2vzXciE5R 8qMJX0UPcTEu7Unjq6Oovuvi7ommXDSlp4ee96UoFbqhbbMZF2+6l/XpjBRR r14MsRZbcaGpL3R7uOQTZRFV1GruyMXRBc2FOhcKqCfVZ1qv3eCCG9ug7rG/ gNLd77Wm+iYXb7W/vIhTK6AeLt+/QMqXC4ZTudv83x+p9ce4znG3uXhUnanS dPQj9eOnbX1OABdV/o+CHHXyKavQbUnPQrjYzm9oHSyZS0mZiV/WjeOi+6Ve dTEthzqQEehuF89FgKbOZuaXHMr/5kaxGwlcNNtuEbMIyKGCC+LWfkjiwqNI tVyZ+4F6V90kJJnGRYrPrNUf+rIphvLiqoc5XCzhFEy352dSbufkim9XclFs z/VWeZZJqZ5xsQn6zMXpr7umnF0yKbGoD5eeVpH7E0v+cpdlUvteLpF6U0Pi s/rMVgrKoOw2OGpE1HNxrPj7+KkT7yljCYfTFs1cLFvU+PnnnBQq+PXBWZk9 XJwbM688+/EdVWbmZfCgl4v3n1vKJ13eUQXhNktO9XEB718lCi3J1IbXEjdE B7iw7hwssE1OomRjjq0wG+biRRLf+36TBGqZf3nyazoX83etfTkRGkO55/RM KnG5GDqRVT5gHEPZFQp5VRPX3txKb50dQ3H4OUkXeVwElezeX+gaTc3/d215 0T8uFuofm7llEEWdjMu4azCLB7WXfCVSY68pV77qe4sFeRhonS8/YfmaGrjj dTaDOFlhkUdrRRjFuT40W38eD6sj1VUj3ryipq6uvnBWiAfN+MP31YxDqXQd QdkoYR62Z7813Z4SQh2890W/cSEP0+y05MWyIVTaqSUSZmI8FG7Jn/3v9hMK JxOjG4lR8OVDmdVjSu588IKv4jzcuzO6IUw6iPrseHFpriQPYVFPyqkmP8or hZN5QIaHxSrxnndSfKktKR9o+cSRCR9XGt65Rf2hZ06qyvJgYPNZLs7xGiVj aeo6RXzc63xyjaoHZdhxjfNMnoelmp6e+btVqO7xgM7HS3jo230ulnl2K86p PBToJR6rn8sf42WMNZKBy7cq8uBVMxQ6w2eHF0LTh9qJp3wiTknEukG19Mml RUtJfkoCzuXWuuPtBvVLJ4ktBT1crVmXYLuqyC2FOC/EwCde3wvt5/XtocxD gdlVwyWsWxgPD9S0XMZDyJULda7z/HDuxVflN8ROYfYHSxffRs6bdokuYvmu A+aO+nchG5bKtl/Ow9XzyiczXtzHvMSpz9YqPCjoOhTGLH4CMSG90aUrePD/ 3smtjX+C8K4qAXNixqnjYGuGQP1ngnIAcY3/wVID/ad43NviPEzsXbetauTC c0RnVR2OVyP5sMkWkv77HELX2iK+Ex8eX2sEvxeQusXP5BKrS6jUP3kRChFW fbbpSh5ajok2baZe4XiYasIosd5gwCI7wzCkmkTukFDn4b337GP3G8Pw/H3q f5uIA978bW3vfw3lzVU7vYlZaz0U5riHY/fmS//CiO2KR63XzoSDEc6q+0i8 5c/vzltiEZg5mhk0QRxzyUY5OSwCDf6Pbkqt4kF0bot9o0okNJtv3dQk9njW xwhZHAW/oM4EB2L1jtinCSejwPg68u0GcafqyY2F8VHoHTaeF0pslNt+uVcz GsZnjGLLiecdFWF88YlGTOLNmnbictYul5zKaKgvEvpJJ96lFXPmnnUMXKWy ouU1SH1/a/ztmhADnnek3RriPNc5thaMGNhkXZ0LYq3Us8fUA2LxcPeDebbE 40ZhjeKNsaiqCnO4QJwyVHtwaslbdB5Z986b+Ox9bu3vs28xKhXT6k+sunLd vtqstxDeeYD+hPh3pV15Fu8tjnD9Ga+JIxxCdMIN49Dh/67jLbGVQHnhnWdx KJ8vmZVCLBvL3nqhMw7LPkp7ZBH/0FX7YL4qHqKVCxXziUO6LNbvuhyPONtj 2Z+ID94MTF1RHA9u7t7NJcQLFAvVFwonYAPflrdlxNWFo3ET5gk4cc6XV07s b6W0rCsqAS9VbupXEO+eOhRRNZyAafv7Xv+//u+ln3zG5kREm0+GlWr8f/9n v3jlm4jYNSuTKeKrzb0SfnWJkF/smlBAvOmyzCMnmSQoH1Z7mkPMkDQUPmKf hG98yRfeE6dnet/TTk3CbstDW5KInU1TZqv8TcKjIA9aFLE6rePmgj3JaKh1 fhVK3Be8cIb1MBnL9z3Xekgcu0b3akdLMt5o7S30Jbarc2dVLH8Hi8KWzZeJ l5x/65bm8g5u0vExjsRtQs0jL/LfYeaiIJ8lcWii4LmbAimQ4Tt60JDYzGBb r+PBFLTRhx5vJf5yJ7xja28KisoPjEgSBy6vt1TWTIXkvLq5fMR7S//9EPJJ hacHR2qY1FPxP/v6NrE0fPHPECkivh7xbH+ZVRpYj1l/44i376ysfBefhkf3 DFqDiLO91alrO9IRyPP1PkZ8Uc5K2+FeOtJFZHdoE6/NC8o1/p6Op/ISrCXE TVMTxxZufI+1r07u6yL7x2Sr1aGu6vcYVfoYaEGcIngp2Gz8PR6JFwpuJBb+ GVRXJZUBs9Zb10WJqy4X7cuwzUDoMT+zYrK/dbOUdf3YGdg0JyNPhtgpt93B SzYTc5SjBMbI+fCs4Hmgm3Ym7t/UvFBGPFAm1HTCNxPafzSenycObqKf0RbJ wgorY4MMcv7ktbx7oKWZBc+YuTdvEf/+z+G9+pEsPB80+WFCvKm3dVLmVRbq zW//GlDl4T92SRBLJRvzC7WdJIjnTvlkDBtkI1NmzZs2ch5q8jY1/3bKxh7N 17Ro4ttzk5Ua3pPrnj2Ta4hXyYRkpu74gHCX4XDt/5+nW+1bzpjlINnuguUa cj7H7FjMtbmSg56Vhu/7yfldp9OsbB6Wg9u7tmpEEysZ7j+/pysHJjlKweLE lZZaPCXnXLS8oEQGSH+Q9Jml0no7D6/Eo5WdF/OQ9inG1SjrI+LD2+Z+lyb5 jbC6HvLjIwKKRtd4EJ+9IfWgdeIj5IQ770kSL4N/vOOOAgQGKP0wXcTDi+Jz HbcrCuBtaNVWTvrhjTJNo8Kfhfgul5N9h/RPk+qiFWtmipB3xbHMmfTjd0lX Nl5SpBAhX/eSRfr1vEDN3QU6FApEdOJ9iEv3x9gY3qWgpjVx7h7p7wp9u2u0 BIsRFyL86vkcHh45ruA/+LgYKkmL8oP4ebjiNOpyL6YE9h32C/r/crGSFj+i 9KEEm7f9azIkbrls55T3uQTW3VG57ya42Orb6DA4UoLFQ69qnTlcTIbmWxtt KUVF3LBWD5MLn4q7+xfWlSJzntnyxDEubi5VXBHKLkPqembK3T9k3oz/Gbtu XjmuxyrPrfvNRZfGE+Uq+XL0dh6+IU6ss0VgySTK8W/FrrpXXVzwmwxJWgWW o435sTuyg4vbPjn8SkoV0Mp2WOj3k4t7zSYd8fsq0bFO92gkmd/CORb1fMcr YfqkXLGlmotM6VPU8fOVeFrVvUKM+NfRK9GiwZV4JXqYc53Mg5t/Rjp4Nlbi U3Dxs0PlXPT+pI3qn/iM5yX63Q2fuNjTGsLr8ajC7ZLanfrvufjX3qy0PLIG tUwPZSaZZ1+IFwkyMmpgZyST3P+Ei7UGcePF5TUY+/LLvP0xFycyPagTQzWI cpGUKQ7mojBAzDZsUy2UWmN0bwZycXXT/gjxulqcXdmyp+n/83Twp8V8k3U4 YfvArtWViz7dt3Idh7+C5qidc9iQi8Wh8XL7/zbA6GDYaAlzBpOWwWJmSk14 NVaSKvVyBiJfZP/MXGpG3ODwxztqM2gOylFqimnBdpODEa0Z02ie4WzZ/68N 3qdVd6xTmYawpmpX0aEOvDmlwtMPnAI7/QzjpHcnrnQ7zRIcnYSwmyrNdLAL 1xv2N9htmITnWuXFgfy/UXPALGj+1b+4Vi/5WFfqDxIWzBxwy55AROXPi/t2 9WCelZ+KbTMH8g5xAWfMeqH76PFUtgAHGVZ6Ik2+fXANuZihupoNiSzPYg// PsS7eBnwq7PhPj/JQ/JBH3ZGbU3+pcrGxnyRtsPP+sC75jgQocRGnvTP+Ib4 PpxOPFpNPoxR1HBO52ttH35bj0iWTLFQY/DIo2ZRP8YD3z85X8uCRmTJCif5 fuyqmsb9KhaCOMxWIaV+PKeadJMqWDCOs9AxXNmP4woHTGgUC99mLROp2t4P VR3p0bBsFpo/ZcdX2Pajb4O2hUMEC382tLUWJ/Wjflw4oMeDhV8ZXYNiaf2g bvJL3bzIQsu6/km7zH60Nq6fVHBloU6DJcdf0I9fo7N/WjuxkL1c9LhuXT+q SrwEpu1Y8Jfc3VYy1o+xy33rk01YUGcmtZVuGIDae22qXYMFlYvvhyS2DiDt RuinMnUWFMdzpux3DMBG2mRDmhoLEsNl8rP1B6B9sPNu4HIWpn53HN9zdACS SQpf7RTI87+Lt5ddHcC561PKd4RZcM30ai//NABp6bu6saNM1Fzeou5eOoD5 c1vcs4aZUNnG9lT6TO53d7hROchEG+Um4f1tAFMP3Jawe5nQ++JouO7PAPR1 Qw9c+sWE3IB57qt5gxC5HTP59ysTZUu0nrocGYSMrtuI6AcmFLvHuxQsBvHo pPCwZxYTV9+mrq22HkS0zs873RlMrNVQr1l+ZhD3Cx/eKkpj4uXWpfytVwex 682keWgiExeOiLruiRhEfFSfYmk4EzL3h/bLDg6i54POoQF/JhZ4XGNfHh1E 6zcf8+y7TPDZiEY10geRORNl6neHiQFNLXbw1CA610apqPgxST/yipyzYAgl TzXHb1xnwmKlEIuxdgizz63rCb5Env9Z7c2XS0OYSay3mnuaiaCMfAMNryFo XuOZLjjFxK3XRoyA60PgDOqMStozcdbV1UDPfwhRDaHzVtoxsVUml/4xdAiG Q8X3T1kz0XJm797Ej8T3fL1VzUm+5jqM+/ENo7vtoH6ZARPPaqVDawSG8enf yJ+ZvUyIPqnaJSE0DLPsW9VbiGctXh0cLT4Mk4ZDdhl6TIysZ64uXjaM91Mc nyxdJoptfJ24esP40OnmSNcm8Xx403vl/jBK1bX99dYz8dv74EPq4TAqxCvi YjSZsNHh3yQYMgyH86sq+IkP156+8yJsGDrVRtOla5nY0a2x/MO7YagZYIHp aiYWiny0Y3wZxvPTEdOv1JjIOd3c7iwxAoWGAd43RSaeuKJEXGYEnRds2kHs 7J0Yn6MwQub5F2HpS5hY9tj7Ip/qCPamV+c+WczEwwJFwWdbRnCs88wqO3km Tks4ahVYjyCpek/XcmkmJIonAoQSRuB/W4S7WZQJFwW5zfHao4htT7aS5iPv c+Do1WmMQiD6Xn3WPwaO3nj68ZDeKDy9dj41JUa3CKYPjOL8Q9MFwTwGxBJm 7Tt0YhSJZ/qfzucykKk1Yjl1axSBblSG2BQDE4bUdZPKUdB0U54YsBi4ddWh gnNoDFELjz6RHmTAfNxSP8l8DG1jjcdzBhhYdcakwur4GPbsfrbsKHHjkS0V xafGIPpAPOF5PwMr1glVBHqO4Uigh5VUHwN1vSnliuFjWONybc3CPwzIHGGV 7e0fg038Cl/afwykrbld+uL6OK6FDllIf2Ngca1R5KTvOLzXbBzJ+MpA4Fmp a9b+49CU7NYyJj4TG7dp2aNxTNe7NvvVM6AkV5WYGjUOJ7G040N1DDwWEHlU XjaOQu4i76RqBvIv1K6ZFKAh/M5fte5SBtwK14WvEqQhuWr7zovEK4WfzbcW osFD266Pj/hFonV/kQgN1xrv0hRLGHD/Mxp1R5pG5sWn1eYUeX9LMSmxlTQ8 fO2Tn1rAwGs986kVRjQ0icf1/ctiQNrX0NHYmIYs7yNLbxM//rSzyeMgDV+0 hpvmEN/ZvCKt+AgNjncPvhPKZMBl5cTJ49Y07HPYzpr/ngGdBa+qH16gQe+l 6HrmOwZ6Gv97yXpEw5IrHqvMYhk4IdYwRyGEhsrOCeGKGAZaDlS46z6jYWrf hgObiL9UpB4IfknDEbper2Q0Azm5N/hWRtOw8OyCk9URDAS8XnrWKpOGQltG nlQYA6tPnd5S2kTDVznLvBWPST3t3rhH5icNz2If53o8YsBXWeCgcysNn/RD flLBDDR3xp6R/kWD2jWzy+YPSb1Y/3nu1E9DyUEvQc9ABprM7VkSUzTsuHvu 9oM7DFzbZ5dxSokOy4dFpf+uMBCvpvkpT5kOv9CEN2uJG+byVYuo0DGuoXbJ 2pPUT0VkV+5KOlI6ZBd+uMTAN93OhQu06DhaK9pueZEBFe0TLtl6dNwUCPjk 5sRA7RprjTlOdLQekNpRa8XA7qUvHLSc6TBOKfPrP87AR4lvkbYudNzNSimf RZw4sUfqozsdLNM5mzdbkPUo0eC6+NAROl2W8diMgV3m0/UtQXTcOCumKmnM QMa1MPeUdDqm5Idz9u4k9eLalNKaQcdLoS47nR0MRJ0U7Z+bTYdvrn7PVm0G gvf6WZ3Mo8PqSof7im0MUpdOetIldCwOef6IuZHE/3ab9K3vdFx+0FVttpqB 0NqW/CNsOh7vf3tMQ56BIruxkPQJOlYoBOX3yDLQx57tLDxFByeE/iJchoGN S9cplvHoWC14qEhwEQPfL93105rHwD6dzSG1CxkQVdQyEldgYPr3pj+Cc8j7 uT34r16HgT/HLtYbjJG8zon+sGoPA1I0Jb8vI3Q0huUE++sz8Hn3q+umw3Qs q+jW2bWfrHuUi77ZAB2U3Na41COkbtw3Dev9Jnko7bkQdIbUycZN8xp+0HFx 0a5/hkEkjgbhhHsFdFi//NMcRuokf92e7rZ8OvYq3E8bJnV1ky9aezXJy2Ll JpuHzxmIbv1pWE3yVrnaqfAbqcs52SVhI6l0KOi98DqWwUCuzUfb5kg6KtzH mKebGVhUVZS20o+O9+yntR9aSN08N9i+4xYdYVe3xc5tZ4AlwEowvkGH2407 hxM7Gei0rlN28qZDPlA+Y5icUz0FCYfvk3V3jd7r4j5NrvsUpJ+wp0PuW8TA zaVMLH6mEGiuQ8ehM2ljicuIpXSFDHbRETDzidWgwkSllI375h1kHVZ28Kmo M1GVw5sU3UpHk6+CXBXpMyV7pN/Gr6MjeMNLQ7E9TPRmCTx0UaRDIPRJcpQD mRvOtLFNyb7QXhP9vtqRibvp88NnJmhwL3ufwzjHRHCGRP9bNg3d419L9VyY aDCVsh+j0VC0T7R9wJOJaaXPiafJPvOaChReH8DEYOsGu/8aaRizueNckszE Jg6/eX8yDc0vXMXlUknfMlR+PS+R7Nuvx3Pc0plQ/2FcuCKOhiDd9XxLs5ko /5DjaxlJwyrVX09vfCJ95uTSnJdPybk0sqVA+xsTUgt3p3n70NDlPSyUw2bC ct2Osox9NFRlNaeJ/CX/N8rVcNSnIX2k5IjDFIk36C9DdjcNN068fCP1jwnP XTYPL2rTsHi3/nqPeSyYG8t6c9bQYCEUaaFJ5jIp+33iRhI0NIQeTkjWYaF2 PHH5dPo45vYkeLftZuFpwh7DkcRxbNfkGs/XZ2HlE8v5zdHjiKlKYJ0zZGHF fm3tp0/H4TE5o6t+mIU3/tk2WZ7jWGSV8F/CKRau7PxR6qc9DkvFGfE4fzLX hj7aKUuNIdjJtLcpgIW2dAXj+bljKM2JzxN4wMLpgr58ZtoYVh00tT39iAWh zvPeKRFjmL4Zn7L8JQueuU90s6+P4U33IYOYJBa+x+7Vltg+hu63cdci61jY Mv7qb/q7UbT8CjQpr2dhrZPyeGzMKL7Jui0d/MaCj26iYPCrURQFbS/X+kHm 3GvMs3r3RhF+6atwZQcLl102Omy1H4WF3mTYyBgL0k9HmtdJk/v/HMjfJs6G 8aCt1+jlEVQt0Xpwgsz9R3MkCu+dHwF1TMbm9iI2Wi+NSkufHEFabTffFzk2 OqQu14keGEFQluc+u2VsmBiVr3FRHoHB7aif/hvYELIpuPW9ehhFy1jsRnM2 DqUKD4aKDePMv+wzahZsvCr4/fTu7GGI/nf5p/dxNqQNaUMnOUOweT6Rp2zL xpzgzzJ97WROFJz2cT3Lxrw0LzvZ+CFsG+WfJezDhuBJj4HZW4aQnbtQdHcU iTeSofbTcBDWz77deB7DxulP0/eMtw9i9sUn4wNv2bCN59ucumoQh1dJNjxK IvFn879TEx4EPVz6WUcmGzJ6zqqzawew1m+JvFcFG55hEQylvQNIOqCx4v0Q G2MajLWLyXdMxI6jFe0jbFzviDK4K92PkNW+pwXH2fhp6yHUKNAP7wU/Y04w 2cg3vWWq0N2HA3V+SiIzbLB38S84+rIP40Ztsk4iHOjL9Xes4u9Dj/acvOcL Odja3XQ1d7QXLRqax0rEyXfc3aR9y9t6USzs/1xWmoOJIEP2i8xehNSul/is yMHmGTHD3yd7scnovrCKJgeVR50cY/N7sEo7O/mgFgdtztm/R2N7oKjRaeiz kYN3wqXzxIJ7MFd4U8D3rRwEds9htZzsQUtNl4CvLgf3IueqOwv2wGf/Vl7H YQ6qAr24Avv/oMSwnxZ6mYOYLe9yjBO60WR5a63AVQ7oTzfcrbnXjYFzcs5u 3hzYrdinQ3fshmigUf++mxwMCxhd3KjWjeM16R2TARzkz/XfaB7dBdb+qzVW 4RxEzf5ufnt2JwStxOdVRXDgM83a4Zb7C/Lnk/U3RnPgKO9sdMzpF3Qe/Fe8 IJ4Db4XGzcy6Djys1cn9lM6BrZsUz+bOf1hxQOitUhmJ/+Edj6qMVmyzjul+ UMGBrn5t4fpDrTjgrK309zMHq7g1vKKRFrgHXQj7Vkfy7f5BrE+pBVRdw2Nf 8h0dU339otn5Znz/z6l+tIWDML+h/IaJH+gbmb3geDsHJ/6tV73o+wMLRDbf 0+riYIve92KjB02wMA67/meQg1P5jr327t9x3mZDwcERsj7fvqQzuxpw40Ld 34IxDj6IbNm/an8D4h7yPJ4xOfie9zJZZf435L0JzeDjcCB4IVr8S1E96lI1 x53/kvq4p6zmbPEFjC/2TvpcDvxyDiouMKnBnF/TCRn/OFiyuyfvQkwVZMee 9S6ZNYHkxMGQuh+V0OCtWR4oMIH5it5H33SWY5foZzvO3Amou29w/5JZClNF uwh7oQm8Xm5R7bqtGKfXTrbXC0/gP3NL/5knH3F1V4ictugEImq4HzMGM/HA RONYgtgElryMivLL88f/AIjgSPg= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJxN0GtIE2AYBeChE62wvGQ1EyzN2GZuRKSLOVyaNskWqEk6zGaka2g5EmM1 CWuZkNoq1tKUmI3c0qIku5GipGumqJWoU5ttajjRbKZpgusC0fleOLw8P8/Z mnk68YQLhUI5+Cd/f2R5Db3NazGK8u9eRdWOTBLmOOpUnt7wruTGpRTCTH+T yU6Ydn9Gss4X/tHEMaT5wY9nuhkOGvy2xNYyFgwvvxlWh4XBnYVeRkE4zD+z o5TBh3s9WCpxPEwd2sDMSIL7GdxAVjrcRotNTM6CU2LDN/PzYFdvz6BLclgo ClRqLsI86yaFrBQWuC89qVETfSXNhRV34Zj4Fp3YANd11K4qaoCfXy6gZr2G LVYmr6YdNsiNa3Q9sI+qevdZM6yJS6vW2uAWjrPy+jSxR+eV/sEF+MtwQq7D CefQf1b0eCz991q/q1Q3HziJR3WjBMAR4y+OdYXA4aFJy7Ms2Pywj2HmwJpe roYWDc/LLBmhB+AFoaTZ5TDs3TWQtvMo/F7JKguRwPWfpCt5Mnh7o81Udg6O Me1l5ilhxfniDkMZnCptcOo1cN8A7ZpcC0snstK1D2Ad605r+VN4eWPj8Y9N 8NcLq8V2I1wcvH++rRfek32yfdEMq5jbBrcMwZMzlql4wrfyk72qCM8VRYn4 w0T/Kj9HyQgc+KE1wH8ULlAr2DGEu49EROcQVozWZzcTHpzWNGR+hm+4nxLU WWH7O7qojzC/fCx3hfDs+tSbh2xwQtA+y3fC9yac3wLGiP30L13jCOvZbMZt wr/m7NxWwinPdMIpwo/kGWLfcdiN558fSfg3gwBMMQ== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJxN0GtIE2AYBeChE62wvGQ1EyzN2GZuRKSLOVyaNskWqEk6zGaka2g5EmM1 CWuZkNoq1tKUmI3c0qIku5GipGumqJWoU5ttajjRbKZpgusC0fleOLw8P8/Z mnk68YQLhUI5+Cd/f2R5Db3NazGK8u9eRdWOTBLmOOpUnt7wruTGpRTCTH+T yU6Ydn9Gss4X/tHEMaT5wY9nuhkOGvy2xNYyFgwvvxlWh4XBnYVeRkE4zD+z o5TBh3s9WCpxPEwd2sDMSIL7GdxAVjrcRotNTM6CU2LDN/PzYFdvz6BLclgo ClRqLsI86yaFrBQWuC89qVETfSXNhRV34Zj4Fp3YANd11K4qaoCfXy6gZr2G LVYmr6YdNsiNa3Q9sI+qevdZM6yJS6vW2uAWjrPy+jSxR+eV/sEF+MtwQq7D CefQf1b0eCz991q/q1Q3HziJR3WjBMAR4y+OdYXA4aFJy7Ms2Pywj2HmwJpe roYWDc/LLBmhB+AFoaTZ5TDs3TWQtvMo/F7JKguRwPWfpCt5Mnh7o81Udg6O Me1l5ilhxfniDkMZnCptcOo1cN8A7ZpcC0snstK1D2Ad605r+VN4eWPj8Y9N 8NcLq8V2I1wcvH++rRfek32yfdEMq5jbBrcMwZMzlql4wrfyk72qCM8VRYn4 w0T/Kj9HyQgc+KE1wH8ULlAr2DGEu49EROcQVozWZzcTHpzWNGR+hm+4nxLU WWH7O7qojzC/fCx3hfDs+tSbh2xwQtA+y3fC9yac3wLGiP30L13jCOvZbMZt wr/m7NxWwinPdMIpwo/kGWLfcdiN558fSfg3gwBMMQ== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJxN0GtIE2AYBeChE62wvGQ1EyzN2GZuRKSLOVyaNskWqEk6zGaka2g5EmM1 CWuZkNoq1tKUmI3c0qIku5GipGumqJWoU5ttajjRbKZpgusC0fleOLw8P8/Z mnk68YQLhUI5+Cd/f2R5Db3NazGK8u9eRdWOTBLmOOpUnt7wruTGpRTCTH+T yU6Ydn9Gss4X/tHEMaT5wY9nuhkOGvy2xNYyFgwvvxlWh4XBnYVeRkE4zD+z o5TBh3s9WCpxPEwd2sDMSIL7GdxAVjrcRotNTM6CU2LDN/PzYFdvz6BLclgo ClRqLsI86yaFrBQWuC89qVETfSXNhRV34Zj4Fp3YANd11K4qaoCfXy6gZr2G LVYmr6YdNsiNa3Q9sI+qevdZM6yJS6vW2uAWjrPy+jSxR+eV/sEF+MtwQq7D CefQf1b0eCz991q/q1Q3HziJR3WjBMAR4y+OdYXA4aFJy7Ms2Pywj2HmwJpe roYWDc/LLBmhB+AFoaTZ5TDs3TWQtvMo/F7JKguRwPWfpCt5Mnh7o81Udg6O Me1l5ilhxfniDkMZnCptcOo1cN8A7ZpcC0snstK1D2Ad605r+VN4eWPj8Y9N 8NcLq8V2I1wcvH++rRfek32yfdEMq5jbBrcMwZMzlql4wrfyk72qCM8VRYn4 w0T/Kj9HyQgc+KE1wH8ULlAr2DGEu49EROcQVozWZzcTHpzWNGR+hm+4nxLU WWH7O7qojzC/fCx3hfDs+tSbh2xwQtA+y3fC9yac3wLGiP30L13jCOvZbMZt wr/m7NxWwinPdMIpwo/kGWLfcdiN558fSfg3gwBMMQ== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJxN0GtIE2AYBeChE62wvGQ1EyzN2GZuRKSLOVyaNskWqEk6zGaka2g5EmM1 CWuZkNoq1tKUmI3c0qIku5GipGumqJWoU5ttajjRbKZpgusC0fleOLw8P8/Z mnk68YQLhUI5+Cd/f2R5Db3NazGK8u9eRdWOTBLmOOpUnt7wruTGpRTCTH+T yU6Ydn9Gss4X/tHEMaT5wY9nuhkOGvy2xNYyFgwvvxlWh4XBnYVeRkE4zD+z o5TBh3s9WCpxPEwd2sDMSIL7GdxAVjrcRotNTM6CU2LDN/PzYFdvz6BLclgo ClRqLsI86yaFrBQWuC89qVETfSXNhRV34Zj4Fp3YANd11K4qaoCfXy6gZr2G LVYmr6YdNsiNa3Q9sI+qevdZM6yJS6vW2uAWjrPy+jSxR+eV/sEF+MtwQq7D CefQf1b0eCz991q/q1Q3HziJR3WjBMAR4y+OdYXA4aFJy7Ms2Pywj2HmwJpe roYWDc/LLBmhB+AFoaTZ5TDs3TWQtvMo/F7JKguRwPWfpCt5Mnh7o81Udg6O Me1l5ilhxfniDkMZnCptcOo1cN8A7ZpcC0snstK1D2Ad605r+VN4eWPj8Y9N 8NcLq8V2I1wcvH++rRfek32yfdEMq5jbBrcMwZMzlql4wrfyk72qCM8VRYn4 w0T/Kj9HyQgc+KE1wH8ULlAr2DGEu49EROcQVozWZzcTHpzWNGR+hm+4nxLU WWH7O7qojzC/fCx3hfDs+tSbh2xwQtA+y3fC9yac3wLGiP30L13jCOvZbMZt wr/m7NxWwinPdMIpwo/kGWLfcdiN558fSfg3gwBMMQ== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJxFygss1AEcB/C744gucXncHak7SkzkdZIZ62r3yN1J92d34jx2UbrchDaq ibXl6rBTUjnLPEqzZGauh+jBQiXGlmpt2nVMJW551dJjq9/vu3333Wf7stNz 4lUUEokk/tO/O1lJTpOblqNJ/2Ii5MTLz+hpVruQt4Cea0wN3m6zAl419liR t6E9Jk8138xGJwR9/7RkQQ+OWAqqyT/Ax4voEYrYn+AV41hHpOYXuCWrbP72 U1LMf3NbopVW02Rwewi/xbxEAessKqHO0xo8WveYNxZNBVMvaVi3xDbgmp4w Pi/XFswKjY3LLl2D/+rrHSEVduA4f5q6p90erKUNUN70rgV7sw2zXWYa2Mer LZRr6wBm5tATec7rwZ0n+qfsPBzB4wf99RGN6C3vDFOD4U5gv/iAI63P0FvV U4pxKR0cz2ldVH5A55+8QgrO3gAWv2gKl82jCWM383WJM1gmWD3cYO8CLs0V qV4Z0JlVnTpxgCt4t1zoTe9Ei+9Oq3by3cDSh3dcmofRNvcuWzIIBviLVFtY akYPaZs0M2omeEL53KmDxAK/n3BnPylD14i0yV6O7uASwnrvx3p0BvXG1Vlf D3CelLgm70bvquQMOEs2gpfyGSq3cbRpgdlalOkJHmDtSfOZQ6dzdTyvgk1g l0VNVq/VZnB+Q6BZz0cfPbSj+5EAne4bdHFOiJa0Be+WxKJ97ofV2e1HT4xG JhQr0FEUQb9ajQ7tExhqj6H9zgnzhnLQrg77OL656K9MyWlTAbo+SMZNKkbX fJOt055Bl3cRJmMJujAqUe96Fn1AqJgdKUOLaEl9pPPomOGk2sALaH8iWaQr R3MYKewHFWjG25TlmUq0Q51ymKlHU9NSmwVV6N9bgfrp "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJxFz30s1AEYB/DfRdydvMV5i4vTjMpLCSc2zbXRdsfupHEUnRk59zKZiZl3 7TB3U+uPQrQzJ5uWtPNaGGVGsvNWZhm3U8hbeam8VFs9z7M9++7z1/N9nAQS XuIRgiA4f/ZvhslJN6O1u0HEv+k62Lv6bgV9RrwbytpCkzlrXu4GP8B91FmC 5Ir2LWmrVQnR9BzJ3M4mei1lNu4B6ReYW7NN5rP3wR4b/NQA6SHYOSCqr7mf uPTfisY6Z73PJHBHg5lAt3MEPMCt2Sqn64NX7ysXNEFHwRNJ75sbOQbgKp3d aHCaIdhpq3Q4pZAM7q+6fcpbTgGHrmeNvXpOBcs0DTEfeozATwXfLqp1x8BL pep0H0MT8GJwXVmwpSlYoBnPptibgb1GhI7+SvSqfaVkyM8cHNj+fblpEJ3s sDQ5Hn4cXDwlTo2bR+dFl0jPCS3ARq4f6yI20CXs7pypAkvwHNN78AmVBj6d zewerUbrUbM+sT2swJ3xYVLzl+gE45YmvxBr/D9fFVk/iiZYM2cTIm3ABvzq 5gIdepm5WfNFZAvuEU36txB24PQUDqtPhla/ILIYZifwHo8Vo61D77XbNH11 swcfZOTUR3WjFXn0EYswB+zH4yVYTaDj79CUWUl08ONkYYTLOlqk3PdkZJwE 0x7JZ17rOYK1b29dqwxBx9Zed+8NRU9kcvXXr6DfuPm3cNhoVRnZhMJFi8Ib BnL56O1J7QWRCC1+Nm1UJUYv3h2eH5Kgp5mtCtc0dMfDwpWFDHTuDYaSn4fe 9bXKluWjpaZUXlsBWtCzcUgrRl9m9MaMydBdP1vPE2VoH42K4lmOdilSqMsr 0DWxRRWdcrS1T2bikgKtME4NtK1Ek3VxFqH30L8Bt/8K/Q== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwBMQbO+SFib1JlAgAAAGIAAAACAAAAQpUBYVnk+D/iLoUXlT6JvwSTWlbO 7Pg/ot9cAj9Uw7/FkLNLQ/X4P5heBdEXTcu/ho4MQbj9+D/KTbZGZbfQv0iM ZTYtBvk/0dto20ZO078Kir4rog75P9BDs/5Ol9W/y4cXIRcX+T+9BGL7JKnX v06DyQsBKPk/EYWW1GZY278QgSIBdjD5P7sFdfOyBN2/0X579uo4+T/0h4o0 lZrev1R6LeHUSfk/eFVXC+PH4L9ZcZG2qGv5Pz37P9VlbOO/Gm/qqx10+T8r I/M5tAjkv9xsQ6GSfPk/tpyq9NWg5L9eaPWLfI35P0StCqP4xeW/ZF9ZYVCv +T/ZjtGaRuvnv3BNIQz48vk/3V6e5SbK678yS3oBbfv5P/noHSZNPuy/80jT 9uED+j/XHUFMCLHsv3ZEheHLFPo/ptgg1IOS7b98O+m2nzb6P7JouC88R++/ hymxYUd6+j8XlHV5GUHxv54FQbeWAfs/89ceH9c69L/aX2DHwQr7P+KtBc8g bPS/Fbp/1+wT+z/M02QHLZ30v4xuvvdCJvs/aAmA+ZT+9L961zs470r7PxBa Su7WvvW/Vak2uUeU+z9LNRwniDb3vwxNLLv4Jvw/Mni93iYL+r97lBe/Wkz9 P5fDuopmdP+/Ogjyejxw/z+nJuNMYp4EwAi6AHWvxABAJ9zL8tBtCcA0/1MF BOgBQMUw3bBkyQ7A0Dapb+f3AkBXb/k1AvwRwK39yTKOHgRAoEAx6u3nFMCW QIVP1T8FQG2kLD6r5RfA73VCRqtNBkCRx7aRHc0awIk6y5VEcgdAEEHMYdET HsCU8VW/bIMIQLiH4XjjoCDAqiR7QjWPCUCFg5rEhD4iwAHnax7BsQpAB718 6NMPJMDJm17U28ALQCDv+U+T0SXA0t8c47nmDECjWtZoIMonwOafdUs4Bw5A LN5/i73KKcBrUtCNRRQPQNMYLdRGuCvAGEp7FAscEED8jgQkeeAtwDRkD886 pBBA+LHxBsbzL8DwRQk2zDcRQGfSGgtpIjHAsmXQya3IEUC0Xb3MUU4ywKx+ mMrWTxJAPBzOAPZtM8BHX8Z3YeISQGyZuwVmrjTAGjn1kTNrE0A3v5+Oo+E1 wPNQ8dhV8RNAw9sYFmgWN8BsMFPM2YIUQPtK2GTYbTjAHQm2LKUKFUDwObd1 TLY5wG+pfjnSnRVAZYBiX/YiO8DHhxRzTy4WQBwahUTCkTzAV1+rGRS1FkCg EFdzu+89wIf+p2w6RxdA37+SutVzP8DwlqUsqM8XQI/G3boWc0DAXm1wGWZV GEDn+KPFYyxBwG0LobKF5hhA03J1BbH5QcC0otK47G0ZQF1LVPI2vULAnAFq a7UAGkBkRhP2gZVDwLxZAovFiRpApuu3rYxjRMDi72fXJRAbQKfzs2ZfMUXA qE0z0OehG0D2be8u6BRGwKak/zXxKRxAu66/xkjtRsBFwzFIXL0cQO8jwGYl 3EfA6h8xhxdOHUDoZufZFstIwMd1MTMa1R1AQazhNPKtScBEk5eLfmceQFrf 6yVAqErA+qn+UCrwHkDomRe7/pVLwLX+MkMmdh9AWMLUnt+CTMCIjebwwQMg QOkP/qAjiE3AUhi0dpRHIECI6fUT8H9OwGPW2E3DSCBA2h3mVEuETsB0lP0k 8kkgQBpu7+KmiE7AlhBH009MIECdrk3mXpFOwNsI2i8LUSBAZsU6itKiTsBk +f/ogVogQHD350bIxU7AddpLW29tIEBM2ROU7QtPwIaYcDKebiBAFHlMeFIQ T8CYVpUJzW8gQLqWoKm3FE/AutLetypyIEDJl5vzgh1PwP7KcRTmdiBAxMbe JB0vT8CGu5fNXIAgQKuFqvxfUk/Al3m8pIuBIEBL8qOyyVZPwKg34Xu6giBA uw26tTNbT8DKsyoqGIUgQEudPKMIZE/AD6y9htOJIEDaNJ0btnVPwCBq4l0C iyBArS1+OiJ6T8AyKAc1MYwgQM9tfKaOfk/AVKRQ446OIEAuENFlaIdPwGVi dbq9jyBAjJgnudWLT8B2IJqR7JAgQHS0m1lDkE/Ah96+aBuSIED1di1HsZRP wJic4z9KkyBAHvPcgR+ZT8DnOgdu "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVj2s4lAkfh7HkML2Z1mQ0GT1J2orKscj2/zs0I2PmaS21bLGEvMvEVuMt XErtNIqUGocOpFiRtEtCYyfbCuvQ5hilWBQqvePcPKZ4vR/u6/fhvn4f7lVB kV4hGmpqakEL/H9d0tQDfV8rYWCjmJm2/QxoXvLb/feoEm727dUA7xqovXCP 5zqthEx/rVYmvwlOpyx2rvyshEZ+OSekogXck0PsLRdR0NoT1sMRtIPe2Ycb bi6hoMX13pwgoxOaJMxVTCYFcs0glVlhFwhONdDUv6JgqTi9I/S7HqAnmKpH b6agSks0War5ClrjY2febaVgSnLWNu1KL3jHWPZ37KTgqM8e2mD9P+D7U2p5 QTgFX6ugMyRiEFiR74rYRyjYsHrSoUznNbyMcL1xMY6C8mu3pzpzXoN/2HRS 3DkK3Ir1cpW1byA4wDdw168UPE9pvcJ5PwxR/FWLlRMUvPLPfmPe+B6seTHq QhUF1AjbnL99FCbd22f6v5iFLrazp07JKES7ifubGLOQ3010nLr4AeK2vS2/ bj8LpWGVm5y4CpCsKwnkxswCUyo6ttx5HLK1nCvS1VUw2WWysstxCl4E/FD/ SE8FA8VaT4mIKVgmO941aqCC5vZgbcusKUg++PCji7kKwnRPUNK5KYjp2rZV 4aECup/Hf589nAafQvsHXKkKeHbGaxPtP8JivkWV0vwTWB+V95rTZiFWyqz2 8/wMGTWys6FH5sFRZyLGKWoebpkPegZla6KOTE3062M1XPuyaaJFqIu2899q aY6oY+3mV78FNyzBFvvCyOGPGrgnkrLT+LQUiz83WKeYaGIOWr37MMzAdBST naCFwjyL7UVvmKgQuXCK+Iswtb48lf2EhWccm9LcDmkj3bk5sNXABKXjPtUR p3SwUtJ/dDCHwNtmsS5253VRfOrK45+3m6L6cLjJoxI91JbHjbTrm2HDVf+O nj9oSCgo8lLrGmzrMx58MLQYc/2ehRGNa3Houoi3VXsJWvQeT5I3rsNwr5Zz Oxj62G5k2cGp3IBGHrEMmjEdP6Vomh37xxJtg/WfOubRUVkyvqhuchOO7dC1 b96yFA+0sWj/NrXC0pCWhuK/lmLZPnnzNwJrvBOf2fiM/BKdjP9WmxHaIDeg 7j+BA19ixOUqrdC7tshymE61CTfALdXXU3L77XBy13i3z7gB1vQYGYYZbsGI zd82Pz/JQJVHd3C3cCuydcstftFbhmMOFSLPcgeMLIx3aMtahiEnggJmTLdh vYRxmNxoiMYssdufqU64J6BoOeO+IebQ9xyuUnyNkrlbEY5cJvZVX5R1HgYc S//FouApE8/XvZIZHkb0F0YtD/UxwmFlbu1+C2cU0m6UioeMsP2QSKuEcsay m22Vo8LluI/nPWEvd8Fr6j+G31djYTDHYCYhzRV/99VIqj3Dwvz3FcXJ+91w QHGgaw19Bd6avBcaYLUDC/g2LcM3VuCMULFxhMHB/Lx5u/F1xlh1t7rO/QMH d9RYue+VG6Ni9R+ha15y8d1KKwlTwMaR0OHnhk3uWC+ysmF1stH5Tr/tRPFO dLuUkRR/wAT9+t6vwQIPnC2c27V+zARHLjOr5tJ4eH/O2tU8eiV+92dHdt9J T0w8NzT26AsC3+rP5axO5KOXUVm0lEtg4ttpg7HjAtz/rJtf407gC/aQN+9n AR6Rfjab2Ekg66BiID9RgOl0bjvpSWDWXf6Qf6oAe3RebKJ9Q2BorePZtpsC DKbmRxL8CIz6OMz5q1aAohe87yOFBHo+N5B+oJF4OjPKOvsggYxjnke96CRm 7k7TfRJJoCw9p7CCQaKsrbdi/SECGzKuTp5kkzjX+BNjKJrAx3W9ZuxNC/+q jCd7TxBYJL79KcCLxIxjv+clJRDIm8gtbdhNYsGW/ljZSQKr/iW7b/M9iY33 1q83Ei/4LKdcnWAS9e/IT7efWeizzVpRLiKR+HFgn0YSgcWW8Y6mMSRaf6Vt Z5VM4FNhXH5KPIneebsGU1II3EhvDQmTkBgSJJLJzxOYnLn2QWcSidHEldTR CwQeKbvq63qBREnvw7AVFwmcjrbklkgX+q4NgsclAk0mXyasvEzi/wAljtZf "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwd13c8V98fB3BKRArJSNLH/XxsSfELiY4oiURDKitSSklLiIqGKLIpe48k IyPrfDI+drI+18qoyIgUKvv39v3L4/k4n+vee87r/T7niltfO2a7ioWFxZqV hWXlr+Hnod4jQRTkOhrRvIQscOWWNXGJ4J7hmneZbj5Y/QzVZh6cmL3c+CQu EOeEa0kcC6Ygs4cmqiGMUCxNWn5PBV+TKVVqOvAKxwjcS1sG635qHk85E4UF T0Tam4RQ0PIdRvAYXyxe3dzxc3UoBQUavGJO+sRjV56/2WfAFL25jfZpCXjy iMCtbDD//g4N/cJE3Ftn/M8ijILoosHHWt4m48LKOpaicArKlLK+zZBPxwqr R8p5X1JQ6OqDBjmz6ThJi+PxRfBmYcuRIPprHFimzSnwioIuR+r3yWi+wVcK S/gcIyhopqrX2Zk1C4tnZBKS0RR0hlu8iP12Dg4fbfjmBh4NZaU8KM3BG2TG klvBoWsF6J1suXghSUrOI4aCYjbuiLL0z8XMmFilnlgK0qB84+2LeId9ggJ1 AhMoyNbzgQDH83zM0pLFPgLO9O71HGHk4zu8TTX7EilIbCI6S461AJ/3XXdk HIzv/Fz39WYB3uf16OShZAri7hl96H+sEE+7Ol1YSqUgx1TtdI5/7zFXEuOW WRoFBYkkrZlSKMKUJsGHReCjo/XV1rZF+Ai1IMYpnYKUawLUuz4V4eT6vx0T rynIYGOV/a34Ymwq6qLfl0lB8t7ptVd2leKS0ruK9HcUFF66MXorJx23fK/X FMuD63/qsX8To+NhPtEjbmCKwoiltzIdC1wouaSaT0Fb2C4V3bCkY4cNi/FZ BRSkaZnZ3JBLxxTLewJxRbC+3N/2rD71AT9m8ZjzoFPQ+5lZOX6fctxPKDZ2 gn9NVqnrRpTjvQf6YnZ+oKClwl8udhnleNpb48AA+EZ1nP7Nj+XYmn/uBaqg oNUmDp/e8lVgTcmbEstVFHT30DGL8eAK/E/f1sitnoI+6Z9D4S8q8eUwvWQn JgVJMDq4is0Y+J7pFG4AC9bclxO7zMCBm6M6CZKC/udy4q/THQYujpjkbgLr B8y0cQYyMHds2E2pTgo6sHOrVz6Dgd+mDqKObnj+eIfKPQrVePq9R7faAAWl z52NN/9Tje/3vOddHKOg7brVyv+u1uL7nEleJqvFkd0R16OPUANu1TUUFN8s jkzWXOUJ9v6I+RxuZJcpiqPFpTxi4Own/GC/5roJXXEU3/hv1tOwGWtL17j5 mYsjz1qvfOnNLXhypmGO9bY40rttsP5ebwv+1fbCf8hHHOkMM025HrViqvXc N7NYcZT+MPq3r2Ab3kf2HUguEEdPT4t8Nk9qw2/NH5ZZNYqjZ6Ufi16KtmOu hjjtiW/iKLXteW/4i3YcMnzRa/2CODKrzzk4/rsd3xL88SWKj0Aj/rJV/DpM rCk/dphVhkAdN1UnRP2ZuIsyGmkKFs1RbBEPYOI7AiMTb8GKyfw8koFMnLU0 FGghS6AJjpkg+WAmJpq/dBXLEWhYJKlhZzgTr3HquuykQKA1NXnrt8YycQOu 9RlTItDxpzcd7rxl4rPHU+vaNQn0bd+Np6iBicOVOu2U9xHoZa9+hkIjE7fx c3EEgduVOTaKfmRigzZ7bSNEoNW8LgnTTUy89+SOkjotAi29T+iPbGXirafy 32AdAj2MH2LWdjFx35lK/7TDBHL+k6UXOszEouozCmv1CVR982rrlREmNt0i 2XgB7DZSHLd/lIk/dXtx0gwIpMo4z/1jjInpZvqe0UcIVOaORHf/ZOI4i5ab QUYwH69/qabMMLGNdb+JuwmBzuV6LS2ykth0YN3eLrDiolPd+1UkNrBSEVc5 RaDPR9W/3VpN4t0WfmOT4LuGbqwjbCTmOrP3wfnTBJq64PithoPEOcbhafpm BBrKTza9uJ7ELFpGC5utCYRsXCy2CZN4Bt8dcAKHi1ayVIFHNVMYreDM1je/ L20mcdveJX9fGwLluIRVZYuQOEU1Q4LVlkAnz56QUdtKYkPFtUeHLxKIKjU3 LUmQOHIbPS7/KoG0r1NZ78uRmBl6WH+9A4GUXAw2rZEnMe+G9mkbsIuk5wsf 8OOFEV2+awQyGNMqC9pOYodO/gl7R5gPJ9Ol6B0k3hd0cY/4TQJ9j5Hkf6lE 4i/sPK3PnAlUfJDetUWdxKL3Xrp9AfuG27G9AJvMUCXVXAikp2IcxrqXxPVf VV2GwPaPWWa/gd/Rrbdp3YX3807ISNSE+7vm2/9xh9+bm3Vz7Cex9IQ527mH BHLwjvc2P0TiVcYic2Xgmip5Fga4J5f5U/QRgYJ2hjC265HY3+Vodwe4pFxC ex78l00rx+gJgShzegu++iRmbKFZIW8C3VGiOwUakjj2Xv/JaPA956c/f4Jd ByL1F8CzLysKDY6SWCFFQKXQh0ABUQV72YxIHLKLY4PicwJxM1+tszcm8Xm9 0eJtLwjk5HmtUegEiTUzkrPdwbdi6caXwcI8Nind4B+6m6VKwA1t3YFh/gR6 ZsFeZX6SxEpWjZd4AgkU7abbFG4C73cnS2g5mEBRpSxyE6Ykjkl0utn7ikA/ r+8XFjQncdlywPbdEQRKc+RuMAT3nnnz3RccMjzz/QlYlO/bWY1IqPdMRdMZ cLi7sU5kFIEGPbxE6i1IHGgiL3AmlkCHE2ulz1iRODtbtykbfKs0ydIb/Inb xpszjkC35xlLBeANFS8XC8FDRl9u858j8bMdHENCCQQaO1KmWwF+tPZLfnsS zP+UiBu7DYkTbBYdtyfDfA3YqMqDy8uE5R6D18cKmRuDWW8fjVFOIdCl2Zq+ l+B7AyVeQakwzhVSRz1P4qi9HVpjYHM7pzodcEnY1Pz+NAItXmnfZQueOyLr +Bu8uU1AIxF8pyjM1Pg1gSTZv6hssSVxqEDuxjSw5cPfd1XA+Y4fG1gyCFTq FiR9HDwtuUYrC9xo6F/8FOwYdEOGJ5NAqWYFNT/ALyZ8v14A26b4GrNdIHGm XlpUGXizDof2FvD4ch+fw1sCGfeOW+qCL185MteQRSArzzqPcPD+CzbzRDbk SW74dzpYxMplwRncIRbdUgKuO560RMsh0HhF9+decPyR4mVXsOvgRc6fYFfd ZpZm8JhiSMISWFZ9cZV7LuRXoocqehHy8T9+tlZwgcYcpyy4S0Fmjcw7AnVa lluogH2IkxztYOvY0yeMwNai9mvl8iBPCttnzoL3CHpweoC5knPZLoJHON+s 254P9a345dpdMH11BfdDcEiOX/0jcPhix/pO8NDinxBfsOPfiQ07CqA+9LY2 hYAP/WLjfQzO/7j6ThSYMibC1w1eW5nhmwj+901x485CApHnRPhfgz/1HuT3 AvP0G3Jkg1M7zDZ9Boc7GVzOBz9ouSGg9B7W31xgbzHYtOGpoDf4YMNrNwxW ZEQL9YE15vnkK8Br6e+E/1dEIHni8GEGuP993eZn4EVnE7IGXJjbLzIAfqmi 1loH9n/zZ4tKMYFGQ6Y1GsB2KdxbfcGd9T5CjWAUR4h9BRvzLVmuWDhCdZta CYH2RBv9Nz4ZbEh5Ab6f/ui/62v8zosPgjkdIltW/n/sU1dCvZRAHyivmCv3 d/b0pwaAA+fu6608n5FbMu072FbJSG7l+aWcSiQ0yuD5zm/47/2WrrVIBoH3 /q1RX3l/5qVhqRFw44cH/81Pps2S9D4M/SZj19qV+Xtivkk2BHw+pnvTyvxa nJKVGwN/8HT2X5n/3cZIXotOoPea7HdX1mdI54rCOJg68D1yZT3LND13aH+A /hT2v7aV9Q5VDVd8CZ6vvui6koeD8pW7DpQTKEL5Kv9KXsQku5QiwJ5ae9jN wH+2TSr/Ap+167u4krdkflGVqAoCBScm3VnJ4731u1SnwHo+dImVvJpwHFLT q4R+J5uyfyXP7PM31WfALer1NSt5t/1Sv+8Ig0Bia4TZS8E91fy+6eAa94iY NPCJN2e7OKqhXky2+oWAdZzHbpWDV5txX7YHExvWpavUEoigyWzlAb+aOvY3 GOzCudPiD9Q3X+crnd/gv/lC0z1glkTZvow62K+jr4ulgnvVDm8iGiCf3CNX doNNtgWeuw/mj3E+IQxuZOvK7AFbWVf7z670p6ZLemGNBOp/E8hRBI6w9b7H 3QTnpcrr47vApgE1w3+aCVRn8jmUDfrdJyfe3SdaCLR97ZOabmsS65qZPswG by7KNMwB75Ya3nqllUCvjjuamoMFSjmOD7QR6E3tgXOvod+2DB8srScJlCBR pSMF/fnwRz8umQ7YT2eDSqYsSfwhl3nqCXghKuEpBmfdu/AbdRLoqe/trSfB fpueSOV3Qb3euK3mDPuBPqoKiP1MoMlCR5VoM6gnsSsJf8GO2fXbzoMr5zfm GfYSqK3F4oYMWLPAqmNhxe8pJjlnSbxLYUHsdD+BPqm/Fyo9A/1OVCmD7yuB RKQdHuTD/kXOdpbagcX86rhugoPJB00YfLJCblkBvCHo4++r3+D+lT8lkk7B /sB1Wa1uEPqjLs3eB/bD4b+xDM9hyLetY7Mq7J9J7bodneDZqPC5sePQ33In RhRHCLTRINA3GtzjsHd9H9h21/gkK7hpkDyuPkagJ1aDGR9gv85v3TAwNU4g Hz2eaRrs74/fus2fnyJQ3pT+A1c4L3xxPnm6AvzMV7tuI1hzv0KB+DQ8T3e8 dTqcN/619d3oBccev3yP1IX+P7d/9NQf6D89HVYyB+H8dYCz8/AsgcJKBKpf w/lFqDskX3EZzje8IjWycB66leiw6QV4/6+Ymow9kIerujfGwTzXtwgqgH1Y Zrens1BR/LqqMAU1Ei9ImCVRV1ERf1e0spQK9DdHIlhwDRV1HTSs+7OLxGns b68vcFHRn7yUTTyyUM8OnoKn11HRXd1fJ9xl4LzIPFmcB65VPPh9VBr6S/IC 2zVuKvqpM8RaKQX1pHs4fGA9FTlzNa53kIBxr8EyBi8V2VTEOcVRYJxTlDtA kIqicxv3PRaE8XXeyRIEFf0aL47VYIF8XynmcQMvJOVUPl9m4tyGcecW8JdQ DsPuJSa28z2mf59KRYp/ff2dFpm4dYPoZAeNio66n25NmmPiVL63as+lqMh+ 3nj/92kmPibU3vBbnopyo+ZNZ+A8n0KIT2EVKtp3rWaVOnwPxDs8Tt2qSkVj PGSZEXwvRBaNmN8Fy43codvC94T/sZya3Wpw/Rwl2LeeiV09taPf7IH5ezHo 2lYN3xdfbPUiNKhovVS/8j46E0/Gpcc4aVMRtu5o8spi4j3iygbbj1LRDU5V jX4/JhbfuaZ0nS0VWbBdHf+py8RqP91/3HWlosI8mfTWv+1YPeS6NA6gouOW eTqPg9txgAHV7WYKFdXb8GxJlmvHLWNHe+bKqOh603d6w+s2fCFyz4mpNipy 2pDtqiDZhuXmG3zcR6loNTmQUBLciru1uhq7WGlIel4ryGiwBfe+TJJOE6Ih 45wkUdUdLbihc+zF4R00ZFCq2KR9vBmPVXfmuR+koV9t8rK/rD5h8+rHU+Jm NET3i3TYxviIizIzNF7epCG+rjTD6ycbsH1KQIyHNw0VRHCMteTVYvYu/qck 2JEnUrskvRbHc4c6bvehIYbHjsLomFrcdf2VVie4wTWlydC7Fh/am/BV8TkN OV2UzjpjVotpze+k+v1oqOh666wway3umSPfagbTEPuTf+XjOjXYwFCMPh9N QyPHtuy2y2Vgryst06YxNCSw5vETWhIDl/s8kckHz0RXUdtDGViteiLQMZaG zjAN6RtdGVgSYdvBOBrSGLKOX9jHwMs7rdY1JdKQqOSIyK3aKpwjEG8Sn05D Z3N2HN/TUonHlUyeLYN3nVktbFBeiaWPcdHNXtPQhWWzCMOcShzjd0NGKIOG 3LRYNSQCK/FzDu2FZ29oyCYh2WuTcSW2nf0adzuLhmSa5IU66iuw8GeJ8UP5 NFQy7JjIyC3H4VOqQzHg2lLBW23x5Xgzl0HfH/BHQ7vapoByLKJyozmxgIb6 qbw6ftfKsWhAWR7LexpqXO++S0K2HFMOnLpXWExDS1LnK19EfMDSb57ySH+g IcVjEdm3rtJxakXE2vvgTN51zaWn6VimK5OVCS5btZw7doCOZTnapx6W01BH +bmFqa10LH9OvKOvgoZMR+Q1TrzEWFGgKDaMAXm5mFcbcKgMq7qP7eRooKF3 7+RLOK4X45naK4fswBPaxQU09WKcIzhhUQvO6abT69mKsXzW5LNnjTR06dxg /uvQIkz5OjPI00RDhlc9Tpq/e4/X6rG8Em6hIevnOlxhbQW4KsQjywUcqrHt fXFIAfb8sqq6C3xyaoeJnEkBXri7ZjqylYZcPj6ZYLbl48lMLkPxdsiv3R4y vCYPd2wSWCXbQUMkf1WOk2cuDjkXKvwM/MGpYFWEci4+lim04we4fIsc5/XB HNygK2KW2UlD9yXj10zuz8F01235u7pp6KLYeM+n0SzsXh3bEATuOtCgoe+f hfdsIr5Og9kYj/eXKGXhd29ovAU9cP05+0nG90yc2i9zWb2XhgYD5qrMU19j 2+2vH0SChRW2+VvXpGPCVT5sEfwi4M6H0v40HMm/oxL30ZC90eOhlD8p+LRV VhelH/ITdPcXy+9kLPhm5y8PsLHE4bnR/iTsf1BZTGcA8jF09vPvgAR8JChP OQmczKu8V9cwHnP179Zn/0JDfroyqrt+x+Jq+cJzF8Gz81d9mBPR+JGLmnMN uJ6Vd5I7NQJrMYr8ZL7SUJqX/Y+iiTC8tHFvkg94PAfVtnoE4WLL0uIx8KLS /O/nDs+wc4Zmi8E3qL+JCTuqXGPZ/wEc0xVc "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwd13c8V98fB3DKiBQSSdLH/XxsSfELiXNESaQ0pDKKRClpCdHQEGXPsvdI MjIyPxkfO1mfa2VUZEQKlf17+/7l8Xycz3XvPef1fp9zxS2vHbNexcLCYsnK wrLy1/DzUO/hQAp2GQ1vXsLmqHILe2wCuGe45l2GqxdSP0O1mgcnZC03Po0N QNlhWhLHgijY9JGxajAjBEmTFt9TwNdkSpSa9r9C0YL3UpfBup+ax5PPRCKh ExF2xsEUvHyHETTGH4NWN3f8XB1CwQEGr5iTXnHIhfdv1hkwRW9ug11qPJo8 LHgrCyywr0NDvyAB9dYZ/TMPpWC6aNCxlrdJqKCyjqUwjIIzpCxvM+TTkMLq kXK+lxQcsvqAQfZsGkrU4nxiA94sbDESSH+NAkq1uQRfUfDlCP0+Gc036EpB Mb9DOAXPVPU6ObFmIvH0DEIyioLP8IgXctzORmGjDd9cwaMhrJQHJdlovcxY Uis4ZI0gvZMtBy0kSsk9jKbg6A07Ii38chAzOkapJ4aCNSjf+PrC3yGvwACd gHgKtnZ/IMj5Ig+xtGRyjIAzPHvdRxh56A5fUw1KoGCxiahMOdZ8dMF77eFx cNmdn2u/3sxHyOPxyYNJFMzTM/rI71gBmnZxvLiUQsEOKdppnP/eI+5Exi3T VAoOFElkn1IoRJQmoUeF4COj9dWW1oXoMDU/2jGNgpVr/NW7PhWipPq/HROv KdhgQ5XdrbgiZCLqrN+XQcHynmm1V3aVoOKSu4r0dxQcVrIhaisXHbV8r9cU y4Xrf+pxfBOjo2F+0cOuYIrCiIWnMh0JXiy+pJpHwVvYLhXesKAj+/WLcZn5 FKxpkdHckENHFIt7grGFsL483/asPvUBPWF5OPeQTsHvZ2blBLzKUT+h2NgJ /jVZpa4bXo727u+L3vmBgpcKfjnbppejaU+N/QPgG9Wx+jc/liNLgTlfXEHB q43tP73lr0Cakjcllqso+O7BY+bjQRXon771Udd6Cv6kfx6H+Vaiy6F6SY5M CpZgdHAXmTLQPZOpsgawUM19ObHLDBSwObKTICn4f84n/jreYaCi8EmeJrC+ /0wbVwAD8cSE3pTqpOD9O7d65DEY6G3KIO7ohuePs6/co1CNpt8/7FYboOC0 ubNxZn+q0f2e93yLYxS8Xbda+d/VWnSfK9HDeLU4tj3scuQxbkCtuoZC4pvF sTH7Vd4gz4+I3/5GVqmiOF5cyiUGzn5CD/Zprp3QFcdxjf9m3Q2bkbZ0jauP mTh2r/XIk97cgiZnGuZYb4tjvdsG6+71tqBfbb5+Q17iWGeYacL9uBVRLee+ mcaI47RHUb+9hdoQIvv2J+WL42enRT6bJbaht2aPSs81iuPnJR8LX4q2I+6G WO2Jb+I4pe1Fb5hvOwoetvFYtyCOTeuzD4z/bke3hH58ieQn8IifbJWADhNp yo8dYpUhcMdN1QlRPybqooxGmIBFsxVbxP2Z6I7gyMRbsGKSAK9kABNlLg0F mMsSeIJzJlA+iImI5i9dRXIEHhZJbNgZxkTsjl2XHRUIzF6Tu25rDBM1lNV6 jSkR+Pizm/Z33jLR2eMpde2aBP6GbjzDDUwUptRpq4wI/LJXP12hkYnaBLg5 A8HtypwbRD8ykUGbnfZRTODVfM7x001MtPfkjuI6LQIvvY/vj2hloq2n8t6U 6RD4UdwQs7aLifrOVPqlHiKw059MvZBhJhJVn1FYo0/g6ptXW6+MMJHJFsnG i2DXkaLYfaNM9Knbg4tmQGBVxgWeH2NMRDfVd486TOBSNyy6+ycTxZq33Aw8 CvPx+pdq8gwTWVn2G7sZE/h8jsfSIiuJTAbW7u0CKy461r1fRSKDcyriKqcI /PmI+rdbq0m029xnbBJ819CVdYSNRNxn9j64cJrAUxcdvtVwkijbKCxV35TA Q3lJJjbrSMSidXRhsyWBsZWz+TZhEs2U3R1wBIeJVrJUgUc1kxmt4IzWN78v bSZR294lP28rAmc7h1ZliZAoWTVdgtWawCfPnpBR20oiQ8U1R4ZtCEyVmpuW JEgUsY0em3eVwNrXqaz35UjEDDmkv86ewErOBhvZ5UnEt7592grsLOnu6wV+ sjCiy3+NwAZjWqWB20lk3ykwYecA8+FoshS1g0Qo0GaP+E0Cf4+WFHipRKIv HLytz50IXHSA3rVFnUSi9166fgF7h9my+YKNZ6iSas4E1lMxCmXdS6L6r6rO Q2C7Jyyz38Dv6JbbtO7C+3nGpydowv1d8uz+uMHvzUy7OfeRSHrCjO38IwLb e8Z5mh0k0SojkblScE2VPAsD3JPD/Cn6mMCBO4MZ2/VI5Od8pLsDXFwuoT0P /sumlX30KYEpc3oL3vokYmyhncOeBL6jRHcMMCRRzL3+k1Hge07Pfv4EuwxE 6C+AZ19WFBgcIZFCsqBKgReB/SPz97IdJVHwLs71ii8IzMN8tdbOiEQX9EaL tvkS2NH9WuOmEyTSTE/KcgPfiqEbXQYL81old4N/6G6WKgY3tHUHhPoR+Lk5 R5XZSRIpnWu8xBtA4ChX3aYwY3i/O5mbloMIHFnCIjdhQqLoBMebva8I/PP6 PmEhMxKVLvtv3x1O4FQHngZDcO+ZN9+9wcHDM9+fgkX5v53ViIB6z1A0mQGH uRnpREQSePChh0i9OYkCjOUFz8QQ+FBCrfSZcyTKytJtygLfKkm08AR/4rHy 5Iol8O15xlI+eH3Fy8UC8NDRL7cFzpPo+Q7OoU3xBB47XKpbAX685kteeyLM /5SIK4cVieKtFh22J8F8DVipyoPLS4XlnoDXxWwyMwKz3j4SrZxM4EuzNX0v wfcGij0CU2CcO7iOeoFEkXs7tMbAZraOdTrg4tCp+X2pBF680r7LGjx3WNbh N3hzm6BGAvhOYaiJ0WsCS3J8UdliTaIQwZwNqWCLR7/vqoDzHD42sKQTuMQ1 UPo4eFqSXSsT3GjoV/QM7BB4Q4Y3g8Appvk1P8C+E95fL4Ktk72N2C6SKEMv NbIUvFmHU3sLeHy5j9/+LYGNesctdMGXrxyea8gk8Dn3uodh4H0XreaJLMiT 3PDvNLDIOecFJ3CHWFRLMbjueOISLZvA4xXdn3vBcYeLll3ALoM2XD/BLrrN LM3gMcXg+CWwrPriKrccyK9ED1XUBvLxPwG2VnC+xhyXLLhLQYZd5h2BOy3K zVXAXsRJznawZczpE0fBlqJ2a+RyIU8K22fOgvcIPeR6COZOymGzAY9wvVm7 PQ/qW/HLtbtg+uoKnkfg4Gyf+sfgsMWOdZ3gocU/wd5gh78T63fkQ33obW0K Bh/8xcb3BJz3cfWdSDBlTIS/G7ymMt07Afzvm+KGnQUEJs+LCLwGf+o9IOAB 5u035MwCp3SYbvwMDnM0uJwHftByQ1DpPay/meDeIrBJwzMhT/CBhteuZWBF RtSmPrDGPL98BXgN/Z3w/woJLE8cOsQA97+v2/wcvOhkTNaAC3L6RQbAL1XU WuvAfm/+bFEpIvBo8LRGA9g2mWerN7iz3mtTIxjHEmJfwUb8SxYrFg5X3aZW TOA9UUf/G58MMqT4gu+nPf7v+hqfC+KDYC77iJaV/x/zzIVQLyHwB8or5sr9 ndz9qP7ggLn7eivPd9Q1ifYdbK10VG7l+aUciyU0SuH5Lqz/7/2WrrVIBoL3 /q1RX3l/5qVhqRFw44cH/81PhtWSNCqDfpO+a83K/D012ygbDL4Q3b1xZX7N T8nKjYE/uDv5rcz/biMsr0Un8HtNjrsr6zOkc0VhHEwd+B6xsp6lmu47tD9A fwr9X9vKeoeohim+BM9X27is5OGAfOWu/eUEDle+KrCSFzHJLqVwsLvWHg5T 8J9tk8q/wGdt+2xW8pYkIKoSWUHgoITEOyt5vLdul+oUWM+LLrGSV2POg2p6 ldDvZJP3reSZY/6m+gy4Rb2+ZiXv1l/q0WEGgcXYhTlKwD3VAt5p4Bq38OhU 8Ik3Z7s4q6FejLf6BIN1nMZulYNXm/JctgMT69emqdQSmKDJbOUFv5o69jcI 7My10/wP1Dd/5yud3+C/eZume8AsCbJ96XWwX0ddF0sB96od2kg0QD55Rq7s BhtvCzh/HywQ7XRCGNzI1pXRAz5nWe03u9Kfmi7phTYSuP9NAGchONza8x5P E5yXKq+P7wKb+NcM/2kmcJ3x5xA26HefHPl2n2gh8PY1T2u6LUmka2ryKAu8 uTDDMBu8W2p465VWAr867mBiBhYs4Tw+0EbgN7X7z7+GftsyfKCkniRwvESV jhT050MffbhlOmA/nQ0snrIg0Ycc5qmn4IXI+Gdl4Mx7F3/jTgI/87699STY Z+NTqbwuqNcbt9WcYD/Qx1X+MZ8JPFngoBJlCvUkdiX+L9ghq37bBXDl/IZc w14Ct7WY35ABa+af61hY8XuKcfZZEu1SWBA73U/gT+rvN5WcgX4nqpTO/5XA ItL2D/Jg/yJnO0tswWI+ddw3wUHkg6Yy8MkKuWUF8PrAj7+vfoP7V/6USDwF +wP3ZbW6QeiPujQ7L9gPh//GMNyHId/WDs2qsH8mtut2dIJnI8Pmxo5Df8uZ GFEcIfAGgwDvKHCP/d51fWDrXeOTrOCmQfK4+hiBn54bTP8A+3Ve6/qBqXEC e+nxTtNgf3/y1nX+whSBc6f0H7jAeeGL08nTFeDn3tp1G8Ca+xTyxafhebrj LNPgvPGvre9GLzjm+OV7pC70/7l9o6f+QP/p6TgncwDOX/u5Og/NEji0WLD6 NZxfNnUH5ykuw/mGT6RGFs5DtxLsN/qC9/2KrknfA3m4qntjHMx7fYuQAtiL ZXZ7GgsVx62tClVQI9GChGkidRUVC3RFKUupQH9zIIKE2Km464Bh3Z9dJErl eHt9gZuK/+Qmb+SVhXq2dxc6vZaK7+r+OuEmA+dF5smiXHCt4oHvo9LQX5IW 2K7xUPFPnSHWSimoJ91DYQPrqNiJu3GdvQSMewyWMvio2Koi1jGWAuNcojz+ QlQcldOIngjB+FrPJAmCin+NF8VosEC+rxTxuoIXErMrXywzUU7DuFML+EsI p2H3EhPZeh/Tv0+lYsW/3n6Oi0zUul50soNGxUfcTrcmzjFRCv9btRdSVGw3 b7Tv+zQTHdvU3vBbnopzIudNZuA8n0yIT5WpUDG6VrNKHb4H4uyfpGxVpeIx XrL0KHwvRBSOmN0Fy43coVvD94Tfseya3Wpw/RwlyLueiVzctaPe7IH58x10 aauG74sv1nrhGlS8TqpfGdGZaDI2LdpRm4rLLDuaPDKZaI+4ssH2I1R8g0tV o9+HicR3spestaZic7ar4z91mUjtp9uPuy5UXJArk9b6tx2pB1+XLvOn4uMW uTpPgtqRvwHV9WYyFddb8W5JkmtHLWNHeuZKqfh603d6w+s2dDFiz4mpNip2 XJ/loiDZhuTmG7zcRql4NTkQXxzUirq1uhq7WGlYel4r8OhgC+p9mSiduomG jbITRVV3tKCGzjHfQzto2KBEsUn7eDMaq+7MdTtAw7/a5GV/nfuEzKqfTImb 0jDdJ8J+G+MjKsxI13h5k4b5u1INr59sQHbJ/tEPPWk4P5xzrCW3FnF0CTwj wQ68EdrFabUojifEYbsXDTMe7iiIiq5FXddfaXWCG1ySmww9a9HBvfFfFV/Q sKONdOYZ01pEa34n1e9Dw4XXW2eFWWtRzxz5VjOIhjme/isf16lBBoZi9Pko Gh45tmW3bQ4DeVxpmTaJpmFB9idPaYkMVO71VCYPPBNVRW0PYSC16okAhxga PsM0pG9wYSBJXGY9GEvDGkOWcQuIgZZ3nlvblEDDopIjIrdqq1C2YJxxXBoN n83ecXxPSyUaVzJ+vgzedWa1sEF5JZI+xk03fU3DF5dNww2zK1G0zw2ZTek0 7KrFqiERUIlecGovPH9Dw1bxSR4bjSqR9ezX2NuZNCzTJL+po74CCX+WGD+Y R8PFww4JjJxyFDalOhQNri0RutUWV442cxv0/QF/NLStbfIvRyIqN5oT8mm4 n8qn43OtHIn6l+ayvKfhxnVuuyRkyxFl/6l7BUU0vCR1odI3/AOSfvOMV/oD DSseC8+6dZWOUirC19wHZ/CtbS45TUcyXRmsTHDpquWcsf10JMvZPvWonIY7 ys8vTG2lI/nz4h19FTRsMiKvceJlGVIULIwJZUBebHJr/Q+WIlW3sZ2cDTT8 7p18Mef1IjRTe+WgLXhCuyifpl6EsoUmzGvB2d10ej1bEZLPnHz+vJGGL50f zHsdUogoX2cGeZto2PDqw5Nm796jNXosr4RbaNjyhQ53aFs+qgp+mOkMDtHY 9r4oOB+5f1lV3QU+ObXDWM44Hy3cZZ+OaKVh549PJ5hteWgyg9tQvB3ya7uH DKvJRR0bBVfJdtAwKVCV7eieg4LPhwg/B39wzF8VrpyDjmVs2vEDXL5Fjuv6 YDZq0BUxzeik4fuSceyT+7IR3WVb3q5uGrYRG+/5NJqJ3KpjGgLBXfsbNPT9 MtGejcTXaTAb48m+YqVM9O4NjS+/B64/bzfJ+J6BUvplLqv30vCg/1yVWcpr ZL399YMIsLDCNj/LmjREuMiHLoJ9/e98KOlPRRECOyrL+mjY7uiToeQ/yej0 ucwuSj/kJ/DuL5bfSUjozc5fD8FGEofmRvsTkd8BZTGdAcjH0NnPv/3j0eHA XOVEcBKf8l5dwzjE3b9bn+MLDfvoyqju+h2DquULztuAZ+evejEnotBjZzWn GnA9K98kT0o40mIU+sh8peFUD7sfhROhaGnD3kQv8Hg2rm19GIiKLEqKxsCL SvO/X9g/R07pmi0G36D+JiZsqXKNmv8HcVVkTQ== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVy3k41Akcx/Gh1cF2sZXyPJnfwWqXR61ObfqiTcoYc/pt0ZSSEpVrkqWy ZT3GlqbLmVJhZt31REvNfHvWEo2tlcpN2OkYKelag/a3f3ye9/P640ME7RcG m3I4HB67/+vbpe/mneFCzBaJpVMmH2ttzPKusj6ukFtGZvFx9WZqh5H18wHv eVXZfHR4InumOsuFrfftXdxz+Tjp79bXk85zQW9sqZRc4ePN2kZOdQYXfK+b Dh0p4SNRXEra53JBkX3Fpu0OH9/FyXdNqLjQKDBG5b7kYxIncTQRueBa4DhW QvhhaLp3gfwxF5wLKrSCTX54pPP3WeMGLuyfk94gjWY9LT9ZOomAqq/z183I 88OHXr5zifkEXFPrcKLRD2fvi6zQLCZgt1VFa9EnPzzq4WYx5EVAj+CEjcZO gJ4Od+NPBhKgSbljNc4X4Jv3ulGTGAJkJ+fzzQ4LcLgl7ZReQYADB8Zc1AKk gkYHAi4R0HaK5tU8FODaJz0/FFQREDkYvNLaVIhlgcc025oICFspyU5zEqK5 Ls9zaICAeuOPt/UBQjz3PCR5+hgB1oG84KxUIUbPHey7MJuED0t2QECVEN0c DRtNFpGgiqw+ZP5MiFtEqsZHbiQc9inLRysR7gjqlSZISehRj28LXyfCHFvM qwxn/wOHByKiRegwFPjF9mMkvH1nNiUyT4QXr8qjurNIePBkbUhMswhDw3ij unISDL/Cwn0cMQb33VvLqyPhgn7iy2tOYtwEfyovdZFw8IpNhplMjEll8cad IyR05wbEepwQo3pyWcSYOQVbLYpsM7VinLBIKbAjKfiYPLnfbViMhSQxol1B wZjHeOkdWwm6Ekt9nPgUxF+NeB4qlCCxxOy2RTAFdamm+peJElz1OmHwpzgK 2jdny0vKJbj6XISDVkmBaEhy73K/BJU+VHxUIQVrhv94EWQlxWYDv3NUQ8G7 WOUbmZcUd+W4ikdaKOg9rY8mYqX4rVGnSHhJQU37zsdclRQ73Nub2k1oCGnW J+3plGJ3Zr6Deh4NrRqNOnS6P+raDGkbnWnwnDbLR+vhj4b6thsJ62lY4X6z QnLQHwPrk0aIABqmdd5fkaHyx+rS4jWZUTTsVrS8cO32x72FyouJKTT89e+r qGOzGPTxXYjGXBowVb3YxINB6y67VxsqaYhxb5MbDjK4MsGwZIqOhs8f5Gf2 /8bg+4awDbtZ28t06YIiBq/NHdrawLoAF1xyKWbQsfxNamoTDZIDl299LGGQ 2//+n5n3aWj+JdDuaAWDU705WdbNNJy4/vMN5U0GW7+aY/pNKw20veJBVR2D 57aft05lrZzyWZRVz6CwdJ7zIOvtz8I64u8yqPNaEFDaRoPusssH90YGMc62 8rsOGpZND9+ia2JQ1bsodHU3DekP0waetjAY7FR0NIe1TenZwtpHDJJxjunj rJNTTu8rfMxgjpVzrbaHhirPQ1PDWxk8tX7pwnVPadA3vN37qYNB3pkbS/NZ W5ZrfTs6GTTvXb5pch8NezKSlmm6GDx+aFXsXdbLD4zNON7DoHtd9clF/TRM yEpMQnoZnLD8Pl/BWin0/+T9lMEa2e0aA2vrDaNvHfsYjC12a/YZoOEWnB+e 2c/gf7skXlk= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwVy3s0VAkAx/Gh1YPtxVbKOZl757La5ajVU5t+aJMyxjzdLZpSUqLymmSp bFnH2NL08kypMLPedaKlZqazlmhsrVTehJ0eIyW91qC9+8fvfM/njx8RtF8Q bMpisbjM/q9vl76be4aNmC1iS6dMHmptzPKuMj4ul1lGZvGwejNnh5Hx8wHv eVXZPDg8kT5TnmVj6317F/dcHib93fp60nk29MaWSvEVHm7WNrKqM9jwvW46 dKSEB6K4lLTPZUOefcWm7Q4P7+JkuyaUbDTyjVG5L3lIYiWOJmrZcC1wHCsh /BCa7l0ge8yGc0GFhr/JD0c6f581bmBj/5z0Bkk042n5yZJJBKq+zl83I88P D7185xLzCVxT6bQTjX6YvS+yQr2YwG6ritaiT3446uFmMeRFoId/wkZtx4en w934k4EE1Cl3rMZ5fLx5rxs1iSEgPTmfZ3aYj+GWtFN6OQEHFsZcVHxwgkYH Ai4RaDtFcWse8rH2Sc8PBVUEIgeDV1qbClAWeEy9rYlA2EpxdpqTAOa6PM+h AQL1xh9v6wMEOPc8JHn6GAHrQG5wVqoA0XMH+y7MJvFhyQ4EVAng5mjYaLKI hDKy+pD5MwG2CJWNj9xIHPYpy9daCbEjqFeSICHRoxrfFr5OiBxbbV5lOPMf ODwQES2Ew1DgF9uPkXj7zmxKZJ4QF6/KorqzSDx4sjYkplmI0DDuqK6chOFX LNzHEiG4795abh2JC/qJL685ibAJfyoudZE4eMUmw0wqQlJZvHHnCInu3IBY jxMiqCaXRYyZc7DVosg2UyPChEVKgR3Jwcfkyf1uwyIUksSIZgUHYx7jpXds xXAllvo48TiIvxrxPFQgBrHE7LZFMAd1qab6l4lirHqdMPhTHAftm7NlJeVi rD4X4aBRcCAcEt+73C+GwocTH1XIwZrhP14EWUnQbOB1jqo5eBereCP1kmBX jqtopIWD3tP6aCJWgm+NOnnCSw5q2nc+Zisl6HBvb2o3oRDSrE/a0ylBd2a+ g2oehVa1WhU63R+6NkPaRmcKntNm+Wg8/GGob7uRsJ7CCvebFeKD/gisTxoh AihM67y/IkPpj+rS4jWZURR2y1teuHb7Y2+h4mJiCoW//n0VdWwWDR/fhVpj LgVtqmqxiQcN6y67VxsqKcS4t8kMB2msTDAsmaKj8PmD7Mz+32i8bwjbsJux vVSXzi+icW3u0NYGxgXaBZdcimk4lr9JTW2iID5w+dbHEhrs/vf/zLxPofmX QLujFTSmerOyrJspnLj+8w3FTRqtX80x/aaVAmUvf1BVR+Pc9vPWqYwVUz4L s+ppCErnOQ8y3v4srCP+Lg2d14KA0jYKussuH9wbaWjjbCu/66CwbHr4Fl0T DWXvotDV3RTSH6YNPG2hEexUdDSHsU3p2cLaRzTIOMf0ccbJKaf3FT6mkWPl XKvpoVDleWhqeCuNU+uXLlz3lIK+4e3eTx00uGduLM1nbFmu8e3opGHeu3zT 5D4KezKSlqm7aBw/tCr2LuPlB8ZmHO+h4V5XfXJRP4UJaYlJSC+NCcvv8+WM FQL/T95PadRIb9cYGFtvGH3r2Ecjttit2WeAwi2cH57ZT+M/H0832Q== "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJxN0WtIk2EUB/CpHyTSdIGaWR9Wy5mvRnlJTVfLrGyZqEgilUbYmiubeRui K2eiS6OY2aJSNEpnirEFxWt2UYbK6MM2m3kjQdEoaZZm5SWzguh/Hjg8/Dhw Dn8O75Q86bQjh8M58qf+/j/qErMSJvgizr9X4JBuUxDPZZyLrCf+wlSsmiae an/eWDUJj/YLRnvewz2uv+KFH2GtsmW7/zS8v2GJOzgPC/PHei2OW/7bo7RP dssFXrZ2MEFe8DZbRJcXD5Z76/OsDKzR7vBI3QkvdR+sZERwfvjRjX1iOPzE QpkxGR5p1w2VpsHXUuPjPDPhytYrN+ZyYK3oxXyTEr7s+lMsUMPsVfOFWQ3J E3/3qaYWrjIumYua4K1Fyc67DHCzjGV6OkheFwO/rhs+MHMvMtYCS9QCwe5h 4hR2xWECVmTu/X57GrYEpncVz8MRofktwU6+yJOnLWFdYQ9JHKP2gtk7i1+Z TfB9lVCzPgCWN1T5DITChx37jGdEpO/ZJtonhh9klYzMJsM8xQexPQ2+xB7T PZHC9qheXlIu2Z/bmx2hhGX2V+/mKmBuvTHsYjXs4HRcklRL3PLp8WITfMhp rc2uh3NqoscfPYNbpWfXxHTDgZ/93PhmeMo9WJBA3Bwk3FNMzC9IlNuINywX mssssMvq19cnrWSeb5a7zkbmxSr83hBLZCrRCvF4283slH54OOSlxfktbIp2 00gH4PIM74c1xDHlm7s6iTtNYTPrBsn9E04mmogLcmSZ34hDavJUvCFYP6A2 FBKfX6g2NRIH+NSNWYmnonQLy8TNaQau/zD8G48GEW0= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJxN0WtIk2EUB/CpHyTSdIGaWR9Wy5mvRnlJTVfLrGyZqEgilUbYmiubeRui K2eiS6OY2aJSNEpnirEFxWt2UYbK6MM2m3kjQdEoaZZm5SWzguh/Hjg8/Dhw Dn8O75Q86bQjh8M58qf+/j/qErMSJvgizr9X4JBuUxDPZZyLrCf+wlSsmiae an/eWDUJj/YLRnvewz2uv+KFH2GtsmW7/zS8v2GJOzgPC/PHei2OW/7bo7RP dssFXrZ2MEFe8DZbRJcXD5Z76/OsDKzR7vBI3QkvdR+sZERwfvjRjX1iOPzE QpkxGR5p1w2VpsHXUuPjPDPhytYrN+ZyYK3oxXyTEr7s+lMsUMPsVfOFWQ3J E3/3qaYWrjIumYua4K1Fyc67DHCzjGV6OkheFwO/rhs+MHMvMtYCS9QCwe5h 4hR2xWECVmTu/X57GrYEpncVz8MRofktwU6+yJOnLWFdYQ9JHKP2gtk7i1+Z TfB9lVCzPgCWN1T5DITChx37jGdEpO/ZJtonhh9klYzMJsM8xQexPQ2+xB7T PZHC9qheXlIu2Z/bmx2hhGX2V+/mKmBuvTHsYjXs4HRcklRL3PLp8WITfMhp rc2uh3NqoscfPYNbpWfXxHTDgZ/93PhmeMo9WJBA3Bwk3FNMzC9IlNuINywX mssssMvq19cnrWSeb5a7zkbmxSr83hBLZCrRCvF4283slH54OOSlxfktbIp2 00gH4PIM74c1xDHlm7s6iTtNYTPrBsn9E04mmogLcmSZ34hDavJUvCFYP6A2 FBKfX6g2NRIH+NSNWYmnonQLy8TNaQau/zD8G48GEW0= "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV0HlQk2cQBnCBmWIVCtjKITojJd8LEo9WUEClrhfGiFQYquT4iHUEIUqj AYlUEIIZjSBqgKIgjFwmCMVCL6MoLCLXMCNXKIejVEusWMCKoFzBvv1jZ+f3 z/PMrstBWXC4+bx58/bQ+X+/zw+K3jvIAX76gMTxr1CMM5MYFNS5O5OUsdTj h45uvE79T2lOcTv1v9xzH49S21fWDqkHQ/HVnXs30owcCHPlJ0wZQ/Fpt9vT xhccKHzRhP0vQ7HRei7Qb4gD0wMRTfmjoZidWPaFxygHJvLXtjLTobijYMau d5ID87dg9JpPBeh34llTuzkDS5Nbpdc8BLg4pVN6xYqB+2TcM2+LAE0d1dy1 DgywKYEPrwkFuNrgW+fgwoDy9veeM8cFKHOqjO3gMtDVV3dGlCZATfaXiwXr GXCZqY0OKhHgTMPOVC4wEFWnKi+pFuAJn33LOvkMXFUGHp4xCNCHnVLVhzAQ 2+DKvTUswMd3dH0pYQw4ebm/eWshxIuCwAD7KAYeOT6q27xMiKnl5zPH5Qz8 Ope03OglxGy4P6lNZODvvM+KMgKFeMZ6lu+mZiC5uXqs67AQ9Rfajo9pGGg8 7so7miREU+C13zV5DCy0rhfZ5AgxrX6m7ZSWAaEHb8X8KiGuOBViuaGKgZib T9usW4VYKtVzG6sZKHP34WsHhSizquLkNzAQblwzppkVov+bwo28dgaCTiXa pduLMELt5vZVPwMr95js+ldT79d/MBuk+XOH9tz2F6Eiasu7nFEGhi8PpWsP iLB9laQuYZIBP0u5l/GkCH3XnSjztCAADrFT3pkiPBObnay3JuBfWNvoXCHC xREBXLUDgXvxKllAgwj1udNvuZ8T+Na0qytzQITFSj/NkpUEPGvmGsmkCGUF ac496wioLwxxebZi3G3eWX8YCKS4d/ekeIhRZl8B2/gEnnM25H60TYwl0cmP x0IIKPpSq2+wYnRRvOSPhBGQ392hvRAnxiS9SPdbJIFISdd8s0tiHNnU5BIc Q8CqM0iQeVOMxTFNx3wTaV9/5zvpAzFKR2qfjJ8jUBRXknfwiRjtrtd7n84g YNi5UP3yvRjNLMQRwXkEdAsqvapsWTQrG/55Wkvg7HnpuTwui7ssFhlGKgn4 nvb+umU7i/Ksrc9v3SXwTfnWh0qWxfLII59sbyCQmFRwVHKSxVWv3W04bQQC gg/aJGhYfGXr6baX2nWfnDdMXbrWb3MC9YttISniDBY5cUEyA7Xnk/TJTZks LjXFt6naaZ9l76gpi0Wrha2XjB30vxubzZOv0jwSbaszECj3dmxWXad5PIV7 F7XT6XDnCeoIqRI+ULfcUsnCC1h8XvHDsf3dBGYf+SzxL2Sx36um3fIP6gUn 4y2LWWzZaqOJ7CHQGxMsSdWyePaQ080s6nuSmtpp6u1nXeuQetH62eVHdCxi i/cbx14CjkUjxt2lLOr3Hghqoe5W6OKty1iMk0ujJqhVt4v+TKT2yopVuvQR uPNMxhulruxRV8VT40TSkrZyFr+bymi5QX1l4IFq848srnTOf9ZBPfdLz+uf qF9t0k2ZqKfkNaLlFfTesCo7j34CaUsVzZep/wNVkFov "]]}}}, {{{}, {}, { Hue[0.67, 0.6, 0.6], Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwV0HlM03cYBnCBZDiFAW5yiCYy+vuC1GMTFFCZjxfWikwIU3r8qDOCUGXV glQmCMVGK4haYHhB5LJFGA52WUU5RK6QyFXGYZTpqBMHOBGUq7jv/njz5vPP 8+R9XfbLgsPN58yZs4vO//t9blD07gEO+On9Ese/QhFnJjEoqK9uT1LGUo8d OLz+OvU/xVcK26j/5Z75eITavrx6UD0Qild37t1IM3IQ5spPmDSG4mmX29OG Fxzkv2is6XsZigbr2UC/QQ6m+iMac0dCkZ1Y8oXHCAfjuatbmKlQbMubtuuZ 4GDupproVZ8K4HfsWWObOYPFyS3Sax4CLEzpkF6yYnCfjHnmbBLA1F7JXe3A gE0JfHhNKMBKg2+tgwsD5e3vPaePCiBzKo9t5zLo7K09JUoTQJP95ULBWgYu 09XRQUUCTNdvT+WCQVStqrSoUoBjPnuWdPAZXFYGHpw2CODDTqrqQhjE1rty bw0J8PiOrjcljIGTl/ubtxZCnBcEBthHMXjk+Kh24xIhUkvPZo7JGfw6m7TU 6CVENu5PaBMZ/J3zWUFGoBCnrGf4bmoGyU2Vo50HhdCfaz06qmHQcNSVdzhJ CFPgtd81OQzmW9eJbK4IkVY33XpCy0DowVs2t0KIZSdCLNdVMIi5+bTVukWI Yqme21DJoMTdh68dEEJmVcHJrWcQblw1qpkRwv9N/npeG4OgE4l26fYiRKjd 3L7qY7B8l8mubyX1Xv0HswGaP3tg121/ERRRm95dGWEwdHEwXbtPhLYVktqE CQZ+lnIv43ERfNccK/G0IIBD7KR3pginYrOT9dYE/vnVDc5lIiyMCOCqHQju xatkAfUi6K9OveV+TvCtaUdnZr8IhUo/zaLlBJ5Vsw1kQgRZXppz9xoC9blB Ls9WjJ3mHXUHQZDi3tWd4iGGzL4MW/gEzznrrn60RYyi6OTHoyEEit7Uyhus GC6Kl/zhMAL53W3ac3FiJOlFut8iCSIlnXPNLogxvKHRJTiGwKojSJB5U4zC mMYjvom0r6/jnfSBGNLh6idjZwgK4opy9j8Rw+56nffJDALD9vnql+/FMLMQ RwTnEOjmlXtV2LIwKxn6eUpLcPqs9EwOl8UOiwWG4XIC35PeXzdvZSHP2vz8 1l2Cb0o3P1SyLEojD32ytZ4gMSnvsOQ4ixWv3W04rQQBwfttEjQsXtl6uu2m dt0j5w1RF6/225hA/WJLSIo4gwUnLkhmoPZ8kj6xIZPFYlN8q6qN9ln2jJiy WFjNb7lgbKf/Xd9knnyZ5pFoW52BoNTbsUl1nebxFO6d1E4nw53HqSOkSnyg br6lkoXnsXhe9sORvV0EM498Fvnns+jzqmqz/IN63vF4y0IWzZttNJHdBD0x wZJULYvTB5xuZlHfk1RVT1FvPe1aW0O9YO3M0kM6FjXN3m8cewgcC4aNO4tZ 6HfvC2qm7lLo4q1LWMTJpVHj1KrbBX8mUntlxSpdegnuPJPxRqjLu9UV8dQ1 40mLWktZfDeZ0XyD+lL/A9XGH1ksd8591k49+0v365+oX23QTZqoJ+VVoqVl 9N6wCjuPPoK0xYqmi9T/AbmsM68= "]]}}}}, { GridLines -> Dynamic[ Map[{{#, GrayLevel[0.7]}}& , MousePosition[{"Graphics", Graphics}, None]]], Method -> {"GridLinesInFront" -> True}, Frame -> True, Axes -> False, FrameTicks -> True, AspectRatio -> 0.66, PlotRange -> {{-2.296734277972267, 11.426115954712177`}, Automatic}, FrameLabel -> { FormBox["t", TraditionalForm], None}, AspectRatio -> NCache[GoldenRatio^(-1), 0.6180339887498948], Axes -> True, AxesOrigin -> {-2.3000000000000003`, -9.200000000000001}, BaseStyle -> {CellBaseline -> Baseline}, FrameTicksStyle -> Directive[FontFamily -> "Times", FontSize -> 10], LabelStyle -> {FontFamily -> "Verdana", FontSize -> 10}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {Automatic, Automatic}, Prolog -> { Opacity[0], TagBox[ RectangleBox[ Scaled[{0, 0}], Scaled[{1, 1}]], Annotation[#, "Plot", "Frame"]& ]}, TicksStyle -> Directive[FontFamily -> "Times", FontSize -> 10]}], TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ RGBColor[0.24720000000000014`, 0.24, 0.6], AbsoluteThickness[1]]}, { Directive[ RGBColor[0.6, 0.24, 0.4428931686004542], AbsoluteThickness[1]]}, { Directive[ RGBColor[0.6, 0.5470136627990908, 0.24], AbsoluteThickness[1]]}, { Directive[ RGBColor[0.24, 0.6, 0.33692049419863584`], AbsoluteThickness[1]]}, { Directive[ RGBColor[0.24, 0.5939180232054561, 0.6], AbsoluteThickness[1]]}, { AbsoluteThickness[2], LineBox[{{0, 0}, {1, 0}}]}}, {GridLines -> Dynamic[ Map[{{#, GrayLevel[0.7]}}& , MousePosition[{"Graphics", Graphics}, None]]], Method -> {"GridLinesInFront" -> True}, ImageSize -> 13, BaselinePosition -> (Center -> Center)}], StyleBox[ RowBox[{"Re", "(", "\[Lambda]", ")"}], LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, {FontFamily -> "Verdana", FontSize -> 10}, GrayLevel[0.5], StripOnInput -> False]}, { GraphicsBox[{ Directive[ RGBColor[1, 0.3, 0], AbsoluteThickness[1]], { AbsoluteThickness[2], LineBox[{{0, 0}, {1, 0}}]}}, {GridLines -> Dynamic[ Map[{{#, GrayLevel[0.7]}}& , MousePosition[{"Graphics", Graphics}, None]]], Method -> {"GridLinesInFront" -> True}, ImageSize -> 13, BaselinePosition -> (Center -> Center)}], StyleBox[ RowBox[{"Im", "(", "\[Lambda]", ")"}], LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, {FontFamily -> "Verdana", FontSize -> 10}, GrayLevel[0.5], StripOnInput -> False]}}, GridBoxAlignment -> {"Columns" -> {{Left}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.3}}}], "Grid"]}, "Labeled", DisplayFunction -> (FormBox[ GridBox[{{ TagBox[ ItemBox[ PaneBox[ TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"], ItemBox[#2, Alignment -> {Inherited, Bottom}, DefaultBaseStyle -> "LabeledLabel"]}}, GridBoxAlignment -> { "Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], TraditionalForm]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Labeled", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{#, ",", #2, ",", RowBox[{"(", "\[NoBreak]", GridBox[{{ StyleBox[ "Right", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], StyleBox[ "Bottom", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited]}}, RowSpacings -> 1, ColumnSpacings -> 1, RowAlignments -> Baseline, ColumnAlignments -> Center], "\[NoBreak]", ")"}]}], "]"}]& )], TraditionalForm]], "Output"]}], XMLElement["dataformats", {}, {}]}]}], Typeset`aux1$$ = { True, False, {False}, True}, Typeset`asyncpods$$ = {}, Typeset`nonpods$$ = {}, Typeset`initdone$$ = True, Typeset`queryinfo$$ = { "success" -> "true", "error" -> "false", "numpods" -> "1", "datatypes" -> "", "timedout" -> "", "timing" -> "3.174", "parsetiming" -> "1.419", "parsetimedout" -> "false", "recalculate" -> "", "id" -> "MSP116219hee40c662hh43600001daee569i5141d62&s=36", "related" -> "http://www4d.wolframalpha.com/api/v2/relatedQueries.jsp?id=\ MSP116319hee40c662hh436000014e9eff9ddeh3218&s=36", "version" -> "2.1"}, Typeset`sessioninfo$$ = { "TimeZone" -> -5., "Date" -> {2011, 10, 16, 22, 9, 23.429896`8.122345343753073}, "Line" -> 6, "SessionID" -> 23119735929452804424}, Typeset`showpods$$ = {1}, Typeset`failedpods$$ = {}, Typeset`chosen$$ = {}, Typeset`open$$ = False, Typeset`newq$$ = "eigenvalues {{1, t, 2, 5}, {-t, 1-t, t^2, t + 4}, {t - t^3, 2, t, 2}, \ {t^2, t, -1, -t^2}}"}, DynamicBox[ToBoxes[ AlphaIntegration`FormatAlphaResults[ Dynamic[{ 1, {Typeset`pod1$$}, {Typeset`aux1$$}, Typeset`chosen$$, Typeset`open$$, Typeset`elements$$, Typeset`q$$, Typeset`opts$$, Typeset`nonpods$$, Typeset`queryinfo$$, Typeset`sessioninfo$$, Typeset`showpods$$, Typeset`failedpods$$, Typeset`newq$$}]], StandardForm], ImageSizeCache->{967., {151., 159.}}, TrackedSymbols:>{Typeset`showpods$$, Typeset`failedpods$$}], DynamicModuleValues:>{}, Initialization:>If[ Not[Typeset`initdone$$], WolframAlphaClient`Private`doAsyncUpdates[ Hold[{Typeset`pod1$$}], Typeset`asyncpods$$, Dynamic[Typeset`failedpods$$]]; Typeset`asyncpods$$ = {}; Typeset`initdone$$ = True], SynchronousInitialization->False], BaseStyle->{Deployed -> True}, DeleteWithContents->True, Editable->False, SelectWithContents->True]], "Output"] }, Open ]] }, Open ]] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["2) Plots of Riemann surfaces", "Subsubsection"], Cell[BoxData[ FormBox[ RowBox[{ RowBox[{"w", "(", "z", ")"}], "=", RowBox[{"log", "(", RowBox[{"1", "-", RowBox[{"log", "(", RowBox[{"z", "+", "1"}], ")"}]}], ")"}]}], TraditionalForm]], "Input", Evaluatable->False, FontWeight->"Plain"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"ToExpression", "[", RowBox[{ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}], "[", RowBox[{"[", "1", "]"}], "]"}], "]"}], ",", " ", RowBox[{"ImageSize", " ", "\[Rule]", " ", "600"}]}], "]"}]], "Input"], Cell[BoxData[ GraphicsBox[{{}, {InsetBox[ Graphics3DBox[{GraphicsComplex3DBox[CompressedData[" 1:eJx1mXtUzOv3x6dmFEJEboUiB0noJKXYQyj3ky8OEqVc4hQOcjun6Vu5nJBC Eio6Uamfk9ChnPYYcivRdJFu0v06NbeuU/Od9TPPx/I56+Mfa73WrOez9/t5 P3vv58l4+761OzRZLJa9BovFVv3PffpLXObsGJCGrOoNjW3FuG3DpzS37cOT uoMnn9T6CMZlqx4ola048MTBQ/3j32F5aHHu4E811O8ff7q136qzDDd0NxsW XKzCnYeSI1K9mnDULWObsf6lcNHcR/B4n5Dihgcv1VjfzwbyXcL/0Gk1txlx FmNcnMxMFYUUD9P9e9jKJx+o7xIuWj3WeveVCvSZ93Ipe2wbxR9XbuycUV6P iunRsTwHOcVDAv5inZzehtauU5e7m8hQS/fY8IsetVje8+ba362N4F4WVfSu pQXv6gz38yqpxTFZgd0LB9UCyYtw9/bMgWZJ5VRehK/aE1W8aGYOlRfhTcny A6/zw6i8CN/kxH5cd1pI5UX4zmumU1+tqqTyIjzyql5IGjZReRG+4nS+j767 BP3HHdVUHOqmuM2wZ45tznLsr+vkejRGCSTfnw4NtaiPllM6iGIO7zRZVonV 796kdfdroXQg/OPpKrfjP9ZTOhA+3OmCjXdkBaUD4bM2Dz1q0PWe0oHwsPpB /BDNG5QOhEc2aJQopuRTOhCes/3xvvCWKkoHwtfbtt+ZkCSidCBcW6/O0L9K RulA+HVz/6Aj7zspHQi/mGhzaYxTJ2Y4acR/durCHf/vkxJ8zJKH5ye1AdGH 8IPBF1bMrGil9CHcOiAhv0LaSOlD+C/Po3MtdSspfQjfs23n/k2SD5Q+hNec Np6fM/YmpQ/h67YmsuF0AaUP4UllM7KmbK2h9CF873rT/HFP2yh9CJ/0QDy4 7U4HpQ/hWw4FjGAv6aX0Idxl54Q7Wp970IGlv617lyaXcOfz8Y94wnZKt696 CnGTj1v8ivdi+N5XQpy2O1UiSBHTfCXEiGO55XejRTRfCdG9OOvVpPNVNF8J 0b7SLWx9YS7NV0LMf/2hV7z1Fs1XQkyyDeVNv1RI85UQ53502fNHQC3NV0K8 lvPA9F2rmOYrIbIU9Tqj/ttN85UQp47Of5qcocH/3ldCVMKeA+kaLD7RjfCO v1adzT3ViRunVb3tMexT5yVArXelBg6nJfC9ngKU2x7PW9YuoekpQLR6mKiV LaXpKcAXyQ7usR1imp4CHDZn9X7LrGqangJc9+lhtu8JIU1PASomJzzZpBlD 01OAFYq1Rr62H2l6CtBk5ochZQvraHoKsHYO/1PqCwlNTwGumZjOkTcoaHoK cPBoXbv4NC2angLkGaUGLx2vSdNTgJPn3n/1/HkXblfrwFL/s6vWmrx3tJzS 4Su9ab1oPMc6flUNpQPhUrvKcxsef9OB8IY1k/wzLL7pQHjE3rLrkkPfdCB8 ffOLz+0B33QgfPin9VZ+w6TYrdaBcLxu3Zjd2It+ah2ejbNNt1qSa8v5w/zo uJzBfJpPgMEnwOATYPAJMPgEGHwCDD4BBp8Ag0+AwSfA4BNg8Akw+AQYfALE J7R6BQz1ChjqFTDUK2CoV8BQr4ChXgFDvQKGegUM9QoY6hUw1CtgqFdA6hWt PwJDfwSG/ggM/REY+iMw9Edg6I/A0B+BoT8CQ38Ehv4IDP0RGPojkP5Im6+A Yb4ChvkKGOYrYJivgGG+Aob5ChjmK2CYr4BhvgKG+QrIfEWbt4Fh3gaGeRsY 5m1gmLeBYd4GhnkbGOZtYJi3gWHeBoZ5G8i8TbsfAcP9CBjuR8BwPwKG+xEw 3I+A4X4E5H5Euw8CuQ+S76rvg2B1bNjmiRH/ug8CuQ8uueIxO02nV+2HFExZ evVzzLAB/NrnUQ7XDTW4hLvHx+3Sy+rDu3ZnfTY9YFN8+4MF5l9utqP/25bC yPoetf9T4EqUub+LiRR6ikYcM05vp/h8142c6CEyOFxna3D7vJji5ifD7GJm tMP3/kxBsy06xRGV9H6RggE3NTwvGXRjcvHIjy/FHIrfq7i4enmflNZHUmBG wZYDFoFSOKfV7+rRHX0UPxM12MKskt6XU+Cex5uGe5UyoOkDDPoAgz5A9MHY s3nzyzuovEx+fba6YQqb//05TcEdVkZn70cN5FdvEo1x5veoeQxG7lzSntgx lP/odlV6kw+LS7jzR/6zlcM0+EfHf2hMGMym+KLc2rG8tZ30fUGyL9VaHiLF j71qHgPKmFe9WyykYBR8BBdEdlP8vLnFcO/z/9pHJPu4Rf9siJ9WJ/X7Udte jLmsK4NrN6LcBPvkFGe5ZmU1Ffxr35Hse+GkFAvOJwn1+47PqzbnmbVDaVPm cSd+PbUvZrljtB8Jmmn1OQW+5BU7dr6UwvDETPbSRW3UOrOyk37TSe2EO8Ji xzE/91F6mrInvGqq60frszF4Inr3n3Zj2fyRlZvylgs0KD29PS71v7ZNgd/7 MAbT9bZGTLboxpLNSzUHbOJQfHX8r80z58mx5PdVWeFH+qh4Ck5tf3tDV0r3 ORCf0+IEEifN/0D8T4sTSJy0cwHkXNDiBBInTWckOhP+dR4Osf67cHtGrFEL 3PRISdD9uYnKq39BTtKt4WJq7rXZb7BUR9cPEt/rRZb2SKnzpV2xYLfGUD+w mz7+p2kv5TCpL1yUFNGF0V3+tmEhPEyY0Vlv0yKFV6Zpu2b9IkPH/qWGGcE8 LNubdUcaJYdL54TvjRUcboHxLaHtFz/8tWjAJFuZFDU3D5yxslEJnunBOzwe 8UBH1k//QpImn3/7wJLqs5rc42qeLE85Y5DVhXnnnjmhSAFH/hxW8uMVT2xN 33b7nLsO/0/ruYUz6pVg7yZZ2JXpi5utzk5flKzJH/lX4jl+F4tr5PqV3w5d M+jzLSWO0u8/tiBIk/tQzeeLRlmuy+nCkilX031D2Fyxmve7M6FljXYHDp2s KZrn04dHrS573Yvm4egTKfamllK4Pj6n1sVcgadzf9i8r94X5qSYlNf8JoWV h9f9XhTTg1lznji/aPQFe40FypOhUjC74RmkN7ALh4SNMQpQ6ebsecLypo4M wn2X6texOnDRx9msyCZfuBe5LkLvsgwGJMSucj7cjgGZ1dNLVfytS2qO9zMZ ZAduDQovlWLwMP2oSSqdNY/seeoilkPAmAJfrzwx3rzvkTRC6guKtazF+s87 YIr2L2/i94sx+9r+nAPNnuDjOSJpw6FOqMDlcfucemGCWjf7i1MebwsYwH9Y FKrpAxqUDifDwoOMvfrwmJPvbMtCNveOmq/Zn6zb4tqOV820pw853odJaUfi r770gyLO1XCjH6X09YFhfWBYH8j6i9X1vKhyXefcLh68OrXW4V3mQKqeE34n qeLNBI6SqueEb/wzQjD4QTvyxge59G9WQBAmVbG8g2xf+5okJh3U4V819fdO /L0P2+5JPqRODMTgDAMdv1lSIHU4YOvClMR8Hm7RL3ZOPvWN5693X1I5xA96 3/3mE6birj+kGQaofOKaFptWdpsHe5eVHzJS+WR1PE/jdngXLhDMM9JW7ePD wou8JtV5Ieeu6+Vmk/yzPCxIG3drnOJb3Y5Q2pdk5vHwsjbH826CjOJ3Z762 WK86p3YPXkh4Ks6bHq0zdlAX/p+dJNpEtf7rAyteHFX5Sm/31MPT9sjwoLPg iqzZFzLEDWNP3pRT53qEduaYoj94+E90RmiM6lyTOh+dPCHGMJuHSs4s09OT Oylec9f7y7ThflD6d3tVm0knzJ4RUn2tXIqGy6ZatbX4wtYc8aC4NjmcOHTY Qeolxoxi/eM6plqwJKXIckVwJ+yt2dMo2KKa89V+8zdbOOjdfTaftr9I9pfU 2+yNzQ0hyTzUeV/+e6gZm3+8yTh2whJNrsn2r+v81yVnWV1cN9L8gMQPpA6T dfZJCgZvs+lGdFhbGaSqS5gmGsSp5WHs5ctvHaRSun+Q+EdbHQ/x1esLXSvO q+Kh5QUkL/Jd8nu/23c8XVTfpcUPJP4xJstZTn0c7o1TtXNYuoFwd9f6E2da pfQ4gcRJ5l7J52r2xepmzHxqdWRaWwm8vxea2vCxgfq7QKRy8QxxyxdqHh4w 8YEyNFaEF9PnON2tywIyx/6K2Y4mCSJ0OXjtUFlzLTXHkvWlgTHnRo5sRetT B8QD9nRS7/8r/QpFA6LESPr75dhK8xKrRpwe+jLH7nU1fNAz27gnSkq9519b t+5J67xGIHPUzs/6z5TQiOOnZPTNdJTizWfrvHmGSuq9vSprt4D1HzlK1vSt f9rXQb2Hr42c13o/UQSuvOGpuzNIP63EC5aSgtxsOTVPWjZxl5b4VOBLvzNm 4we2waB47+4oZTf1bvz23G/jnvDbgOwX+b2J2wAP4V9y9E5c0b94AZt6pzW2 cLiS6yrHwIfOV/r3KKh31AxR4wGdf8Rwd/aiwmA7DvU+aSJRuK0VyHBk88n9 Z95xqHe2sW33Ep7M+hcHwmnrA8P6QNan5QUkL1r8QOKn6QNEH5rOQHSm6QNE H5r+QPSn+QGIH2j+BOJPmh+A+IHmNyB+o/kfiP9pPgcGnwODz4H4fJwF97xr dg3WLZm92sSzGRcHjAz5ObAcBmbvHZ3oXIa3fCx+KClswVJr+RybinzI31Y9 9/J/srAvbGexo0SEu+b86i3KewF6vRZmo9wlUOem9PbqaUHd+Edm0bcaUfeL /sR7U8UYvMj7hFdWPS7d3BgcM6cO3j3Xkok3NeOBY298vNIbMSg5SuAXUgVh QhHPdEM7Cj99cDOxqUb2Vhebk1NaIKbF1PW2dzd6jErRvOhRhmkX5rj8dEG1 j4sfPRKf7sSuuGD7kitf8GY9VkWsbwXDJ77zSwcp0CPuGM/L4CMqlo6sOrZB DP+MWnHdvJjN9YjQa3VcW4h5Yt/2udkyvGFvs6ViVS/Gj4h7mDrjA0rnHdTc qxTD2y+BNZ4vOdyTxqYLSgqfI6asHOz8g2pezKxqfiTkcA3z4noc9Z5Bo/KI taeRDOd2zXrSvYPDVa8Da/zhvUGqDOP9vIwcrVTxfP0u9DlmZCVwxdDxIC/h aKYqnq9xwrwn8Q37HeT4pUu0g83W5KrzggJh+sTcXjna5EyzdWnX5Kp1gMb7 hh8MbsvxIV8na0Iji6vWDSzDA0fkjWjH1KFmQ4ckdoFaZzB9WmOYekaCny8s sH5+RwHqfQFJxtlwN3sZcmymbex/uQTV+whB7uPKSh3zIfzw8nm6uS2g3ndY uGL20y1F1Zh/y75UmS8BtU9gUZxbbWBGI1a8er1liUc7qH0FomE5z+ebt9F1 Q6Lb/wCYXxWj "], { {RGBColor[0.24720000000000014`, 0.24, 0.6], Opacity[0.66], EdgeForm[ None], Specularity[ RGBColor[1, 1, 0], 20], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxNl3fciFUUx++1R8os8tp7Zb1G1str9do7m9BrhURKGW8pI0QkQkYiGZkh FCKlnTIqo5SKokhFKp3f536fz9Mfv8957jjn/O65955zn2L9RnQYns45t9s7 l95kZoN9OvVlQar/ZkMGQ0bDLchMhpxI6RVkTH256JONPIashmyGAoYc2Ev4 39zb6ZN+bvSkU4hx9VU0FDEUNZRDvxB98pHXUMJwq+E2QxtDsqGxoSR9+Q2l kOJSGin/ZZBaR1lkAnNvgnd5fBY2VEAWQeaGxzTDeMMEQ2VDMUNxQ1X4iUs1 pLhUR4pLIlJcaiDFpSZS666FFJfaSHG5E6k4JRmq4LO+4Q64NEBqrCHj4tKW ODUxNKJPvFpiqyHjifBqghSvpkjxaoYUr+ZI8boLWcewFR4phrex3wJOxYlR K3yKS2tkMqgOjzqstZKhHZzE5UHDQMMgwzLDQrgsNyyCy0bDCsMLhi2GlYYl hp7EQvZ2GLYblhruhqPi0R1OOl+DDT3Q60Gf9Lcxv4uhF/baG/Ya9hhWGQYw Ltt9DR0MHQ33IDsZhhgeNjxkOGDYb1ht6Md4Z8Nbhn2Glw396ZPdVENXQzdk S+I6kD6t4178dyVe3VlHN+a2hkNP1jEU2dswAq7icj9S/scy7z7DcNameSMZ 17ofQMr/KGQq6xyMz0fRl59HDMNoj2buQGIzBH9jWIP01xheceE8PoFdzZ0A D/mfiBwFV62pjwt3937mpTEun48hdb4eR8rnFLiOM0yGa9Qega1JzBWPqYyN h/dYuD0FP/GagW/5nI1d+ZlJn/w/jZTtZxiX7Vn0ad1z6FNOms889T2Lv+mG 5/An288b5jI+Fz3NW4Ce+lQflNuV95WzlTMLuLgeKIerZih/K49nYF4O9HIx T2O5aWtuHto5sKe8m92FvK2cPg++4qpakhedqFbJ9k3o3cbcicRRnArCVf6U wxPwV5i2bEW5XLaL0pZv5aTi2C1JO6olJV1cS0q5uJaUdnGdKI8/5e2y+CtP Wz4qMi+qrzfjvxJjUa6vBQ/lysrwqEo7qitVXVxXqrm4rlR3cV1JdHFdqeHi ulKTvUkgXlFdqQ2POrSL4f8OoBpTz8U1pj6ckmhHNaMxnJTPG8IpmXZUS5q4 uJY0dXEtaYaO8pJymWpHCvYTsZ3s4nrTnLlR/ktCT3lZea07Y1GNaYUN5W/l ceWPdnBY60JOUS1Z50JdUS1Z70JdWQzvdui/5EJtUU5XbVENUb5WzVGd6QjX NvhWnVHN6AxH8Y1qjmQXF79LyqDXgzUotyrPKDeqDqg+9IGLcrVy9yq+27u4 xvSFUz/a8t2ftuKi/JqKf+Vn5WvVLtWZ3nAagI64KO8OgnsqOm1dXBu7My67 VdnLJBfXjxHYVS4eCj+taRg+RjIvqh8jXVw/HsC/8usYfCg/j8b/EMZT6Rvl 4no2BF5j0GlsCe5F9lT+lcuV068ZXjfsRD/NhfwiTsrl4+A0gXZUM9JcXG8m uLh+PIaO8vMUuCtnT8Kn+iajoxw8DY6T0B9P31RsT2eezr3OaTNsKOfPxp9y /AwX14+Z6M9hnuzNpS1bUR0QVBsWoK+aMY+4iOOT+J+HThrzpmNLevPhddJw 1YU7ugi+OpO6F52A7ktnYq2YL2PuMubvNuxy8d1bjj3duRXYe9OwwYW7KNsr sa17obutu6DzpvPch3ipvylyDXMU71nEayH9zeC4HZ7Kfa8a6uJvA1yUBzcx Ll6b4aKctZVx8XoNe+8YDro4F0jqnnXAXkfmyG8Kcgff4rUWzsuIW5SvdtK3 nLgplrp7b8NF5/0NYqlcsYfYHGROC+RBfG3jW/0XDcdY53b4bSOu+4jtQfpT 6L9h+NBwzvA5sfvLcAp+vxm+JEbif93wqQvv9vOGoy68238xfEEMrhhOuPDG /s7wjQv5+V/DZy68k88azrAXPxvedeFd/b3hW+Kns/kx+3LJcIiY/IDdP104 w4pvL8Z6s56zrG8ztn+F9yes4x/DaWL9EX5Xw+8wfBWLC4b3XDhPis+PLpyp rw0/gSP0tYfvD+icw4b247LhfRfOzhFiJ3/eB/9HicNGfOteLSeml4ix1nDc xWf3OHGvzx5dZp/+YN9+N3zlwplWjK4Rs9eIpcZ1H46xzqXMvwLXi3BPYT9l V7VBuVJ5cSfxlF2dY52Z6+yz1rAYflvge4T1b2DsNHO1Bx+wJ7uJ/98unNl0 PsRIZ0gP3r0u3Al93yDeivtaYrkavQvEvh7r2cH6tM8HiP0tNr+yD+/KfIac Prz1dHZ0RnV+zsBBbZ05+V/FnqxkbToXdfF3A709nINV8NPermB/FaN1xOw8 fYrLVdaxkL1d4uLzuxn9L9nvaJ+3sj+nsLeLPVzKPp9gfAd7tRPfh4n1emK9 i/Yh9LS2k3B5nf3RPik/ZbV4ZPPh7b8LfeUM3dsMPv4/1nd6H+6K9lx1QGd0 E2s4xv5sIsb7iPtpzof8ZbL+cj78u2jP97AHsr2fvbzVvmv48CbObbKKD+9i jdfkTKguFvahTiaYrOvD/14xH8ZUO9VXhP58Jqv58KYuarKeD2+CUiaL+1DH K5nM7sO/TkGTtX14I+UxmdeHfwadi0Qf1lnAh/rR14X/siw+/G/dbvJOH95b FT3xte+SJpN9qPGqew18qH2NTJbxocarrwT98lkdvw19eCfoDaB6X9qHd4XW IVtaS5IP69FadA/0j6e7IJ9l8atY5iKe5U1m9uHfSHuSkX0p5MP6tfYKPvyX 6h80v33U8qHu/Af9XUD7 "]], Polygon3DBox[CompressedData[" 1:eJwtkbtOQlEQRc8YRMWLTxQxqKBGjSAJiAoEo8bG2h/QUPtohZrQSSRRKz/A z2TtzClWZt2b85jZp9x7f3ybCSHsQQrmLYQqZPAFyOIb1CVqjrpPLcMI/4JF vAZZPNE3nJl7Qu1ACYZ8f8A1fgi/+Cec45tap30wh1cgjc/CFb4NL/gTXOB5 eAi+p4UX4Bl/hYx5z+pVM9TxZd2h3mEFXze/qwQNfE0z4TVYNd+jtfqnu+7h L/idTeVhvrarHvFT816V3zF+C9/4D5zgd+aumS/xLfNZ/mEX3zHvfQBtvAj9 4DMr27T52co4HzNOYsZH1Bvzt5joHWPmylpnHJhnrqzHceZcfE+96xSqLxu9 "]]}]}, {}, {}, {}, {}}, VertexNormals->CompressedData[" 1:eJx1l3k4VH3Yx0VRUj0toixtHhJSEVK5KSpKIZIIUdqUbKWEIoksRbYsITwi S5LsP/u+78Y6+5gxlmRpofeced7+ed7e+edc17nmOnOf+/eZ77LNys7gCjcX F9fRJVxcPNj1oIue4IajJGA5b0vU4cuCt6cpTjcUmKDnSFS4fo4EAg9DoyzX VkNUYTnh+NtR0JC5MsM7QwSllaVPauvaoW8b+35VBQMuy/nyqAoSgd+CNye1 qhqNma+1++7IBN+YUo8XgSQoDV+q5TacjrZF77Go5GICT1N10KW9ZCjhFQp/ JJ4K57yPM+MCRmHlDbbhCycyeKfUhYfYVsL3RcOVZmQGOFeqaT47QAZWRliC q2w75B6WtqwYpUPRSW7CsUIiDIklNg9xDUAuF8XB5B0NLBfbz3H9IMC+hK0q L3zJcKHnbMs1Jyps3qq1y7C4HUi2hcXq833I9NClkwk5LBBXPmKQbzUILiay D7MXupC/Dv8NbmUmeNBtrKUOk6BVLSH/hX496ux6fuyr0yjUbewPs48kwxHL bQ7aOtmoeuHBlOTeUbDizZLx2k4BWbK60qHEt0C/Z/PLsIcBfRoqVXGPKGAQ vnvoGpTDat/JOTMJBoCNxu7wSArw8yW5PGe3wtRrP6rDdxq49n8xXRtEhvuP 5Rb0tfuhYDycK+AcFSw6j/Z5xQ/BJqM000EZCmw1VvsujH1PVowk19lQDQNd mroZJ0eBJ1HsSnQpCeyMLMr2z9QgtlzAfIsJAxrSD6VOj5Dhww5Xd/G5VjCY XvbEYN8Q+nH6aEAqgwlal2M93vYMQf8PeaEcBQJKfqYSeryeATYvCXWEYDKk epCXXd7UhGQ9ukyuAgP8Y4c9j8RSIDaQkcy9PQfd90khvzdmwKC+8vHWeQqk WvvPqitHwafrvlnxUgygXZ493GhHBT4bkYzEhRK4YTJSV3eHDlt4tQWPsKgw kH8Fzo83wUjSk7rcDTQIWON61MePCi/oMTwXDPtgeM81tXMLZBioFckpzyAC y8i4eV6WAn+V7Ki8a08Ef0KO8CvBWih5KS8ksI4FYr6bcybHh2HukOY9ZZs2 tOPm23uf94/CmuJTJK9MIrw9WFD6JiILhnsbo2tL+pGqcnLkyooxqG2jaCw9 VA+z+XtNUjqIyMHlbGRC6SiM5jycd9YbAas203pnqWFkK3FBKDObBqs+s2aW SVFhYWOefvl4E3q2+YzeRCsN7g83rT8QTIXXYUT/ZeEf0V6VHmUrTzq4fnit YJVGBUkRiTxZrpdQHF1VZuJHh8Q2O0cjZRo4WwZKdFnnwUe3uYs7Ommgq5Z7 8dlmOqSFuJi53aqFhIglxUonqLA/a9vfsSF0uEfi2WmQ3wX98b8kbuaSYC67 26WpHNu/RaqAxVIymIR3SpjcHAJ7SxH3maZ6sEJG8h5RY/D3heD3ny/0gaaq WsBwYx+6TK+YMlIYhUbdxyT/rkHwSNlgHihDRvNrT2zi4R+Bu8d555R+kKGM 7jTn5xqEihz7xW9SB1AYd3+mtf8Y8Dq+aH038wmOC1iKiKRQ0NodXxUWTzAg VGcPoeUfIsQMWPOT9Emo6kdK1I1rZLi9VUU+6xsNdiZJJpfl1CPjDP4H80CF A+EXax5Z0SCdwWW2qzsTGR8XFx2uoUGSBOmfZftokLotvmDIwxNiK7Z3pwvQ Yca5ySqqiQbP4KBGYG8WFIT0/Zw0ocFDN8m/v65mQMfzHQcrLMpAdb8WNCdR oPzRQmO/wyi48J9bYyzdCjxXGm2E3xLhzDn3wm+BDFi5xceMHjUM1wJf5chL E6A6bSlBsLYV/OunbXhfsKHO7fGdi31tEGZeWNEzQELesetFA6g0eOcSJF22 2AMvzreKnRqioYElOlUxhF5YxafXsSaWBA3Uh593RGShIg3XON2OTsQKFan9 Ij8OA+Y2wuOvCxE5svBW2sEBxFUrNennOQZvSqvcgy6VIc0r8gXMn1RkTz3w aKqbBr0Byhnu7RRYQ7P+2jZORqF2mwh8Df3whGDzABUwYJ8Sr+XX3FI0dcb5 Z88wGTI9Epi60zTgCq1TdFyVgORlHj6y1aKBzwcui1FvGogf/zqjtN4O7kY/ aREvpMFW2eBXS2Xo8KRaTnZeKR72St7SEBOgwRP0vlg0kwG7JokrNTZlg8Ls qXfThyjASlqacaaNCbzWdZop1mUgPQn2nxkjcH7IQBpdGAPjVtbOuYF2SA85 rZJM7QYJQ13T2cR+UIhvU2ffGQPCzIXWkpgKeN7ptPj8GhOFCXzIkWgYgh33 DLaUjLXDzm0f78k1jqL4mUXloagG2MYKeO8aT4SZY5nMc5snwGx55Y6bwXfV Wj9dIAQKN0P63Msf3T6jwDf3Pale56jav1cyzP9KXdsvRQfzrk+3ol+ol7iL xtD/3oid2zf53bcSsP3874fxvv1+SywNztwWXvikQ4e1Ne/GLaf2l/x7pUL+ qxm9VXQGcLWFyKcKK5b8e6WARsz7+0VnWRDU/2jGKVm95N/rCJRsOrLYKDYO yqYpUzIJRiX/XrugsexxqO7EBHzbmVohK+FRknLUZGTLuaz/cgL/Dyfwm5Mf iokPcU4UFvYVY5xAybJbbjgnFx72fcQ5US8gsTBOwF44lohzEvheksOJXFn9 dYwTSCrU+BMn8P9wgn5zMvShisOJk8XKlDmleESXi+VwstNqmsPJ0Y4osvqm bEQffvonTtBvTt47GUninNge7TyMcYJ6XSn7cU52klKccU6SIqMOYJygDbOr yTgnT/VPT+GcPN4SQcc4QblfqYI4J7dSjRxwTmLs09IxTtB6DXIKzonP47jv uF493e2+HtMrEJsvyMb1KnlavQPXK23HLiFMr2BrAFsJ16usOfVBXK8WCYM8 mF6Blx/fG1yvJN/HyeF6pTbf2IzpFbzreOnyB72C33oV4z3I0Sv9XG7HYQ9P tGZOjKNXfdH3OXr1YueQC6ZXaNzah6NXXyonOXr1iFkkiukVutryhaNXjG0q DbhelSj3bcH0CknsCb6C69XDmfliXK/Gjd8aYHqFJkNVPuN6ZVguOYrrlely SytMrxCL5/WjP+gV+q1Xc2neorhejSfvbcL0Cqm1H2nH9cp98/ly3B9Xq255 ifkj+Lk4RuP+WHGy+jjuj7ev6elh/gjiOpve4P646UHkd9wfc13MizF/BBUv nc24P64PMZvF/VHZcOIY5o+wrKeW448guHwD7o9mI+3XMX+EwZSNKrg/WmY/ 4/hj5JzcIzmul4iwJpvjj3Aqj+OPQcVvuDF/RMNzGua4P74tijbD/VHwyEFX zB9R94nFQtwf62TfbMP90TSqTx3zR3TFTWk77o/68YfccH9Uvq+9DPNHFHL2 mAzuj0jumy/uj/myUrKYP6LlzQ2fcX8cZ+eG4f64596mMcwfkZCoM/sP/oh+ ++N/8hX8zlcsd88neL6ytg3gxvIVbJyUjMTzldq9Y/V4vlqmePm79SYs/+w0 vYDnq1jF65x8NfHVdQLLV8DKF+Xkq2OKWpx8dYH9PRjLVyj4aiQnX52mAydf GUxemcbyFSpuFP5TvkK/85V8YusRPF/93dfJh+Ur1LGy/jCer6roaz/g+er1 k4gOLF8h1ysSZXi+SvpouBXPV6z2mvVYvkLJbkolf8hX6He+En/AlMHz9go+ 6Wwsb8Nl+VZdPG/nRJ01xPO29rKYO1jehuYg0k08bytaVHPy9kof+3Qsb4Oz 4NrjeN4OaRcOx/P2wXnNY1jeBnHjek7e1uuO5uRtu66Bq1jeRhkNpzl5O+p6 cyWetz+nsCawvI0+0Bw5ebt2X6UcnreTyn66YXkb/fqySPlD3ka/83ZzkRgJ z9s9sp0GWN5GPYrUX3je7mqQVsDzdsv1Um0sb6Pj/s7X/5C30e+8zbZicOP9 6A53YhPWj8DDSvg23o+cSFOcftSsos98OJwOgsnOnH40ee3ffvSKRcL7ERLm +rcfCUjFcfpRvCrzLdaPUPPOL/x4PyrqP6qF9yP/2IhwrB+hM0tuX8L7UXZw 2QDej4Ic9YuwfoRet9rc/UM/Qr/7UVfJPk4fbLXiLcH6INJ9l8/pg8cGptzu Yn3wSKLZEjH+aqTryTRIwPqgRyzpK94H11655of1QaQgdIDTB0ftLz1YdX4U ZV0g7RmTIEPAi6f50zIIbEhMGm/cGDqq3iVmXVoJpVGVQXMpBFgUtSisM2ag eJmCpeSEHOh9qpu5PZoCIl/PtmZ2FKFT65o0DxC7wXn10fKWVDbolN6sXvhe j+QmX70wuDcCj5zaMrMimIA2pMYlPmlCa50177sPsmB3OO2sZn0/yPoX3JCJ ZCPz+XXL3Ta2QV31QriuXhtoe00vBCQx0clAI9Xka0VQMnlSbM6UCLze5YMR YjTE+1xQLeVOJnjbbtA2WkmHMf0ld52iKpBt2uqZqJX9cPzGBLs+dAxqhIaD LuZ+Qq4aRectqB3Aa1DGv/zkODipbFQoEGxHBdRAfrt+jLsggan7mI/qshYd 8P080KKoYvtBQgb2Wfh+uFeZM/D9NAxTZq1KK5HjSfGX+H7Oqa7m7OfUcLoc th/0auUKzn6WPBJLvUVhQ5GimrYXrQ0IbGZ44qVGuJo2YMPOoUJgAa2pVI8O B1LJZibH8mCX+4KpBzcBTRuFhK1WYsOH0H/epYkngrL5tUA7OuYTKkrrSD4F wNNP2W3d0AWnvbS4BTNH0YH3i6axKikg0Pe0eDkfGWRcJ5vwc/GWKtbHzgWd LW9C+LmMZHuUJjMKUVBA+hrt+k6ocRn0XP/XOFgMP6mani9HynGzpAuSvaA/ wjoRqf5/zhH9PkeH7szPhJv16MP23A+22QPQ9yTZ7EonC468yNepHm1H7aWL fi5+WF4fLxxPXTEKvA6CUfi5q1p/eYCdO+oMSzqNn3vYXgdjiyECSvq7xa5i Bw2WTe4NUmwkAbq3/tWpPSwI7C1o4yFWwOVF4kf3rSMgd9rqEJ/aKPRunJ0b J4+AsfLXEgOpTnCuXtHrnxEATYOaP066TIBcotrzqK01UB534nJe4ziyXR0/ x/u4DprOz+7SDq6B3uQMA72AcaSx00v7ZkQZBHzQXr+M2AreVeOmgr9YSO+u K5ei9AfQ9S1Nac4egip+CT3xISaSm51vmIl5D8zaBM8dOkRoNVBf3KxNRwdE 5cUNxuJhxV7q03JMx29pRFzIlstDNxsKudc6dYBUfB7PtNE4PL42b45z/qXZ 0xLjHPH8EH2Jc75Ewd8En9OPntrM97gOpU+UbMfnfOWNfuL8my4oxmP8o28n vURx/n+u8byIz7ltadAuBekPSKT0QSo+5xzbi/O/uE4djcT+F+itYscJ/H+h zz3NmZPgoHtNbywe1VwN8MHnPC0xGYrveWtC0mtsz8i78GcOvufd67lrykgs SPNLZAm6mKq9oTucS7s8DMNU0U1a82Pg8PaXj8itcvCrOKBnE9IHrrDun3TM 1783J9WESRBgu06DrMiLMUjZbN4TwEdAVWYLgYHLyaASueLg+T00EJx9v306 vxpVByYt85TvRENRwR/CO9nQ7/TJ4BovAW0/rS23R78Hle/aManWwgQdxuH5 789oSPmMP5+3UiDiv1RbTc+lwRxv8JdXXOPIUU37VmpKFexmOD2/5NABq2lL Mi9KMdHfVn79h1bngJLphnw7TRKwzDK1XjqNI/elu6ckHKtQ0XRBpppzK3w0 yjGU0MT2f9dLa7gAQVjlY5tFxQ4omtlx81oWGxmcXZXmKZMG0x/nq7jf9kAR v8/1kGNMtCJP2uj0TBqo2T9YfXg3CRKPyNk9PzCK7qA1jjTZcIj8BloG6WRg vgs7u+dhIdb3FrPHqjpRzGvy6svrxuFw0de/LvEjZMZvPMIS7AavtSX652rZ cMOf7ZcpWYFGxrk81jX0QPQH4fU39dmwa/aS7hpSHVrOdA1WezmAIhcfLXBR WbA8tM/gYXsT4nETDxlYMwwLxnUaD+aYYBg13/llXQeKSDDRCtpOhMywpQoe 2qMgY+AQ8WmyF2289zNzQI+GtP+q6XwJZFC1BDb/kkFEuLQrvyKeAVobikU+ Vg1AUVL43ffWHSD2j3vaIOb/Fbx6akZ3GBDME9Oi/hcbtfbX+6UZ9cHj7VMm UuZlMPvh6Q6GxRji+Ueld11fEZzwnMu1wnTi0M28/n2Ijh6sW58qvCoLnITe sHhNqeD8YGpzu1oBYo+8ufgE+52mpp11+frjoKrNFWmSMYHEVMbS+fe6oryh kKyaJeWQq2GxfTBiDHltPm62y/AFmqQ7DIV+HABlO+nKvBY6uuhSyb+jMxhN PiSbZJhTgfJ8m9ZY0QQK7bWTiajMQUax+eweyAfD+rFIwZ1stEIgq/SrfTDa vm+a/6AJAZa+Mj6q/5SBwn5JCQ3t9EQZbbw3agIoENt2ruzO0ATam5SY8/aj c8m5dtI0j+RnSN/kyqs6lY+cpcZkDu7oQBRlnvZ5s3FQasrbQA4pQ/J31myl krsQ//WYVccQGyxX3HAQwO4T+zM/KFC6YPLriaeA3W/UFIizlylAwxbfdXN2 dABJK5gkhj2nxzghQPduDYqIOukyLtgHb4zuKVzqG4OTdlNPKKdq0dOvbbs/ evehWn/tmoxPY3B2Q/Sn5MttyHaDkqGO5RAaOV2eubueCcxjRXVx1m3I8OMt 578vDcGosPR6Eew+b8YWWzWFOsSKU4pomO0DZ+JdnfagMWigv1GWwDixVGgt Xr9AhLp2tw3LztNhtiEiv2YNAXn369sPmJJQEiVfKrOYBr7QNkmgk5EfX39s 9gMqquv06U9v7IM9DUzZJjIZmQzffRjsTgXDoKOCx7H7rjY3n28/0Y80Tt5W ivlMgljfdwUELPd2v5zIu4+oKNSEIHF7GQU+8PLIXvPshT3qG7vTuSfQ3MOn /W+Wx0GoVWCIjWELHCn6qI2f72qryathlTmwL9hsCj/f5/7Ly1YOj6P6/RcS y+piYV6t5CupqBWIfs+XZMqzUObGhRWvV/oC/232wdHhEbCAOxweXgexnebt g6EqyZPDQ0iR0J0Tk0wkUVR1dYTwDKyX3G6208Tzd20xWZqGgoOSo8P0XGGJ SW3Lpw10iCs/xOGH6PNuirjTE8jGk9dxfqIjG+fmh8ZRlM47a92/3qD3YT2K LGweccL2Lvy91FedaY1fHoc2ukYE4++12c3vlCb2u7cWq4gD631R+U1RMXvs d9/Y5nHmD98q2x660hfVaq84hM9/3O/HN09JGnrDvliULPkY8SWTHJqF6LBK NZ0z57quYckEPVeky07jzLnKSPJ7QvEIiEp8r9AIrULsx6IW/oVMqBdPk79A GQL2qRGX9t4WRLPK7yANMcG3dzQnu50I529KbJ6WTkEtIfao4BkTvpE7Og4G jMDnLBqsnu8HHpdaTVF/OpTo2Uq1/ewDvoEn7ZYaZLgln+lwnBvrmwpGaqFC 7aAoaXMu1ZAGB0XU5I+uoYL2lBPR4sYA1HMrHp7R60AK899OnvvFhC/upAN3 GR2gknSk7p1XH/JYtk3YK4oFA/eZNmIq1WDPN+QbwaaDVoLy6i2eFIhZ7rfW i12Osk2MNbgwHTN0m1T7C8v5V8IlzghaVYCqq2ep15p+VPsp85Je+BiIbVw4 eUZsEPV25V2z6sC+d/zqeTMXCvB7R+ctvi6AaVuhJR7eBMRYmjZdOD4GQq80 XKcVU0BXp7qsRrUP1VdMTCaYs+GsjBCPJ3sENVUv3n5zkQheR753fR6hgLRd SJbBaTLaR08VL7zVD9OGBg1vvakgFTo72/Q+GA1GZNyuonajVQZu20+NsKFH WV+coEFF1zeGSfH2tsJQ536kaE0D+0rTeq8fVET55Ju4m47gCLd00VcGDQbi btTg98uk9nyUpyNUKCScj9+/2uo9jz+/8ss/l7DngyD3Twn8+VyqVzfjz9/l d0Qfez6iBG0sxJ9/U8TBDX+vpfIWn7D3goae8Gn8vd5py2fi838udJTC5kfD ulV1+Pz/2Q/83s/swW96+J59hKpysD2D1A+ry/ie/7Mf9Hs/ST6Jhvj+W+SP WmD7RxaTD83x/f+HB/jNw5jcib04nwJqaRYYnzD3fmsXzufyG4dtcR6uF573 xnhA799sW4/z8B/e0G/exurtOfy7/bOQi/EPTUtCOfwLaVI4nAuqXJLCOAcl resczk2U3Ttxzq892HEQ4xw51xZo4ZzzJonuwjmf1uVuwThHHdtmnXDOhV73 hw1fGIGBcYOgDXJ1KGKeVnSlmgm1H6l3uzE+pmL/SnOfLkRefUwVrWSsV1aX NC5gfc272+1Mb2YoSjYPjfx4H+uhGhf5bDOHoHmzFebsI5B24AB7kEqD3FWP fE+M9MITljStJbob5aWzzLtUWZByieuTvuMgvN5oVoR+taH7xK9NkV+YcOHy gblI5QZ4HmP3zFK4HyXUkuT1do+B/Uplv/OdWfDtrs/n6OI+1Fc7JtKnwoaD cdRuSUYpuLk3391MISAW/yq+mIIx6E0Pyw++7Qf0UJHWadFe5PmFIPHqLRvu VSuLMmIoyGyAMkA83gWntkVdEuCnQdWo+O3pgVhUSKQJdNl0I1vbxtzGGcwH 999Tvj1JRe0Fhu8dz5fB2z6jNnMyDS6+iKBf4aEhWsx2yVNFxejAxU4bATYN dp2qEap7REUioRUDMRZNaOftPILCMxpMlE7d89RzB99h64cvWT3gMFtHXpvB hugzarLaThTUyL57X1G2G1mmP5nwmaeCWqLlBL/YMDr9zbmskEhCwlTCzftx FNj5RDX7YQQJwY379wWXDKG9AcbxrtpUiGi/Ldev1I20uzv4hXRoKOm1uriJ MAWuZmh+2jfXACJrjsQHmNPRkPyku14uBdrbLGNV1eNgpeyA5AYaA3k8HhE7 tZ4C5/h5u8adiGBlJvqYcTIf9jlbZdTFM2HeV9Wxg4cIxfd+BLd/6kPSg0UJ Hf10iMjMOv1j4xD4224NMsodQQJ3Duy3r6RB8MuPD3wCe6BJQXSfwBUKWlv1 3XP2HRVMKkmj+N7Svs0dPVlUDPuHla7je/sfQs9GJQ== "]], GraphicsComplex3DBox[CompressedData[" 1:eJxlmHs8VVkbx51DCEXSUC5NKlGSVLr37CFSMu+blKYkSqJcapTogsmQmlIo pYtboRhNKZdSLY7kJU115FKSCMk1lzjHOXuf93zeOXvvz7v84Z/vZ33W3ut7 fp71PHvaTn/H3Vw5OTlS+icv/SMe+2SUzk+FgfMOZMzNXnQ1Pc+/6oAIItTH zYxQrIVpDQ73JZJeFNvd9jCHJ4KPMe/fjHvXyqw3degJGVIQw+aRLr3q2M/I 8+DdhDzfTpTSVVqrHTECsWaBvAJ/PsM7y836b1uKgH4uzXetOWSZlimC1O0b TGeLaxiest1S7YuAfS7N/+j+tPKRuRgClz23lZ/yjeGvfXfmP9sqBvGcpJuh a76z6wdt1bqOimGJm/G6XTMG0aK3Nr/5bmtDgj35iXeWCmBXQ2Ldy+5ulKk6 Mcy3vg09L7s8Du4LmXPR/OSMTYNT3rLnonmZX5f19gj2XDSP6g7V3N/Lnovm ciZz1gcvEDPnonlTg9uvb3ay56K5+SXVNMNI9lw0PzxgbzacIoYT+kFc8cER hk+t23aurkAMyuob3IJSJUCfN3C2Mkp/xXroST3kOWNtM0J97o63TVkPNI/x yKr2FLAeaD6SXZ2rvkzEeKD5oW9xKXFNrAeaWy85M+C4XMx4oLne+81JnQdY DzRfP0mfP/cS64HmszSiPnTlsB5ovv/c3wcH/8N6oHlB+wLztfWsB5r/+ETr 3MRO1sPu/+WkHjmd/jmpT531QPPP8i3l1a4jjAeaL3RMKFJHrAean3dalyq2 FzMeaP58ziLDxLOsB4b/GesWd5/1wDw3deJXx5esB5qPM1JbVvmJ9UDzmYdV 7dO/sR5ornrU76AlxXqg+b51pi+XqJCwRm7SjpE9XILm3l51tXqTSCwPfKR+ 9bbosqIIywMfPdVITYreJ8bywEenTgrb15aIsTzwUcfk02NfteB54CP3IQv3 Q8N4Hvioqda5P1WBxPLARy/L5vpvVSexPPDRH+rOF8t0SCwPfDRtjvkH/2kk lgc+sv4hV+uiCeuB5l7/Nv1963zcAw/V7jKobtkkxjzwkPyW1kElgsQ88JCd nkZdnxWJeeAhi7/u6oevIjEPPDRoMGz+7xUk5oGHwNPH0nMF7oGHFLzKLY1W 4R54KMpCRWP8T7gHHsr1trTmrcY98JC/6/ti+bW4Bx46/6ywKN2BhB+6IvZH vVRgeGCczdZ5jqwfpL+80NKmqXChzVSdfW8ljB+at+tajY2YTjF+aD7cldDD KWH90PyCwZbF9y+xfmiu4tXyIT+M9UPzjDalNbUBrB+ax81Yr/fQhwSRzA/N S8omWM/1JuE3mR+a25ZdCxHuIUFJ5ofmSq+Csnd4sX5ozi/+NrtNuo9aMCe6 gKL9WEBy1PFwO+lzt5h8rhDpUXQeYLxdS352A4d4uoFzq3GDkOEzhfckZXUc 4v/rMw+ed/7ovBBxCCyHEDlwtOn5JTkCyyEsdyMjx7VReA4h2Detdu0yCs8h pMeZHlvePSqHkH3AwQNKRuUQFFbXBVhkjsohzLJLMk+8MiqHIB6zsfTd+VE5 hOPnanWaT4/KIaw7P3n27ydH5RAaU8fcJyNG5RAKpjuHvJHy//fJh7yzkwwu p+M++cANUGnS9MJ98oE3Z21F+UXcJx/eCbwTtPwkeH2DBJ94LUEK7pMPYoH1 vZAVFF7fYEqWk20al8LrG1zPHU4t/TiqvkHfTx0lXmWj6hs8W+wSXJk/qr5B XE6xkn32qPoG9qZdYof0UfUNjh37Nr8qhfUmq/9Q2dv1180jrDeab9LV8Ckw Y73R3M1ghufEaNYbzS9G/fHAq1SC349QsBhNSR6m8PsRJhp9MakLp/D7EVw0 nHWHVlL4/Qj5Kll7SQ0Kvx/h+4KOeY/6Sfx+hNUuc/aVNpD4/QiGX39bovSK xO9HOHXF3uras1H3I1jEZQw6PCHxPgp007YoJCrjuWqGl+bxDSUn8Vw1Q/mf 7bbNJJ6rZnirGHXSf4UE76PAUnXf7rs8PFfNsGHzG99rB/FcNYOT0bjJvgSF 91GgbDS+30aPwvsoaFV2VoyW5hPro+DXykP8nl48V83A7wqet6GZxPtqWD6n 54xSnxyB9dWg1vsilzrBeqC5ocOvK5U05Qisr4YjN8LvLQuQ4H01HCus0LcR UnhfDd6xgunb0ym8r4ZdkR8+vfah8L4aei+b5FZZU3hfDbPu/h40MpPC+2q4 MW+a3id1Cu+r4eO/+o4biUl8DoKndxYMJkxlz0XziUXT3ignSfA5CJxb5/c5 GUvwOQieN14Isq2i8DkIJhsKe1TiKXwOArVnezeDN4XPQXA9Td2yYw37fyeb 42CVWfmqLAf2ubK5DyLqY9MTRBQ+94H7pmm50x9K/VR011xvF8lymwPBtp8i m79xCFGdVvC0wiGGH7yYppH5nUMc+rJcN+1sH8NPPjil1vABvwdzQJBiI9Eb 4BBnFMdcDtpNMXzJA89ZK3vxep4Durd95h4a4hAtih494gWkjKfC2k+ZOxyF HOLH6MNo1fURhkP3ZH4UySFcJv1xPkxRwPAV1scHM+S5xJVrie48/+8Mr9Gp uytQ4+Lvj4gitd5SbyHUTM+xUHjXz6x/3PCqY6cul/jQWXpkQ1E7856E876P 2vMlWD+ZA7ExNsYGoXLExKxSeVurb8w+9y37+3fUcoj64w4vLh2mGK7gVh/+ ZJiD748+uybw+DUk0Pyf/uRNYWN8xcvoGAqSPXJuqzt3MvsYlGjtOf2rhKn/ dc1OgsXCUNjxMXlFhAqX8UxzryH9IYkJl9AfrFq/0UyMVrn3/yQsDYGZq5O+ 8rhcoi1Zyb09VYR0ZTyC2pTCUZD65Ip6auSGUZXbPzzGUzAYpsUlXP8yk/c5 NISmytZbX6z1Pa/NJTQnGMZsrepDQtn6/OsNR2ds5BKKHy8vz9zfh/7OmFC/ IN4bxlTp6AZ7cwmnvcdOmR2h0OfsUwnBT8JgZ/Kz2bYUh6DzSb+/7eSgC2ul v69miL5zWiCFWiZ3D66MC4VT0Y8t90rXuxz9on/xkhDxZc9d6Fk5IX8sl8kz vU+578Hc2klcwtBY12K2mhCJZOsD88fMu6jKJWpOjS/S2TuI7sn4ptYmXbdZ bH5k+6D1t0x3lZ0UAMbBZdHT8IXbuMRVS6u32R8H0JBsn6z3exV+mcslcvzd 1wz49qHb4Vt46Tr8Qq/l26/FRQuY+tPf2CIf29KFKpVcC8wOjMCrOzF5X2u/ Mt9hPBa5hqi1C5l7Z6zhfUnMzR405Lj6Y6GSiKknNOdbyj87vJKdN+n9zX2L q6fsl87RkQf6xu4VMN9b0iO8A7adETM5v3Cz2azesgPdCThwrDFaCK81Tbfs TRxgvp8sDJmpaecuYOotvX6Kn5WqSrIYkoud/EL1JMz3De17YxI2VIjBLXRi ntdTDkHP9SfuOccHfhcz9/XCTsK2PvATarzq/HqJdH70y7JXfr9KnplzHf17 cl2lc2LmfKua6BUKzNyXbH2l+IYlCb8/2BavLBIz/V5G39UVCnkcAlsPR1ym mH9Pkvb/t/xGEiUjTJ9T95Pj1vQIDoE9F+I7MnffKWT7Ltl7wsE+l203PThE /7+oTY+pYaYfCOgh8wgrDoGdCxLv3I+IeUniHuBSLier5T2J+werXIU928Pk CCwPcDryRM21X+QIzD8Y5oacOGNE4b8vOOUtvZG9hMLzBjxBXVStIXvfyfID P2h+mdWTL8FzBUHdMVncExSeK4gy6DW2c6RA34I461bZir7YzP95hncX2nwN XQ6wGQGVyn06WdsaUEqghVF9TTe6XR1pv6pgBN7uaFl8YeMLRF30fG/X34PM zq3XVzYQgSZpYaq9qx++uEv8fEVSH5FzyamOYlBvmmR4x7gPRVv5HfV90Y4W 6zzih2kL4WWJ4mDfL13oQHB5oG9hB7rypDh5da4QnmjbXzV7L094JGj22jnW oPONIb4aJiQsFpo/HNmtQNzSyniQN/c1JBukPHJLIOFWmO+PdpZiJFsPjdt6 W92SOMTw/arbQaXSfTKCQ311a6Fq8zjFbGnf3iTs2S0vrU/CjGjr+vgmeCYO e7SpmoSlf5ss3z7EJTy0c7ixHg0QVF2852wxCQ+KVF9M7ZAj+O9eu89Y2gIa p4PdN34lIU/DVGN8lhBk7w/JMdebvedS0Hhu1ZKSdDHIzgsmu49/fKNFgcJS ky3KF+qRzA9E3eiYHC6UwKVD65apv+kGmU9wPfrg5z+jKXibYv1B8rYfZP6h wiSt6LEXBZ/K/uNi4zEEst8LJrUf1W21o6AnrWVt0lIJ7LQ+WD6V14ZU2m59 MX0hBoPhwgWnCweQjMOWY6+qVNrlCAUdo0rjk+z3yQqFeQ5jxgvgHe/e0D0T 9nsdzel7Kkzo8/CFEcs1Og3bZhUPMN+jaP6co9gUYU9zHsMLoXWNxbVBZNxq NrMrh33usmWiwHFzBpHrnAueR4PZ/Ssr7DW/NAwg61hhVHblG4abBBTIpc0a QCphi7V/SHjCcHvRzwF+4f0oc/XflAk3g+HhavJPLsj3oz9bS8PvdIYy3OWz qnFX0SDKC5tQvKikleH/BToLXqQ= "], { {RGBColor[0.24720000000000014`, 0.24, 0.6], Opacity[0.66], EdgeForm[ None], Specularity[ RGBColor[1, 1, 0], 20], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJwBHATj+yFib1JiAgAAAFkBAAADAAAABwECDgQFCAIDJBgZEAYHEggJDwUG EwkKEQcIGAwNGQ0OGg4PHRESHBARPTEyJRkaHhITGw8QHxMUIhYXIxcYPzM0 JhobNiorKR0eKBwdMSUmKx8gLSEiKh4fLyMk8yH0MCQlMiYnPjIzMycoNCgp NSkqJxscNyssOS0uOi4vOy8wPDAxb2FiYFFSYVJTozhEQjY3QTU2VkZHqTlF Sj0+Rjk6Rzo7Sz4/TD9ApUVUT0JDTkFCOUZFSTw9oJyZp6abop6aVUVGTUBB SDs8V0dIWEhJW0tMXExNYlNUZFVWWkpLXU1OY1RVXk5PX1BRLiIjQDQ1bmBh Z1hZaFlaWUlKbV9gZldYaVpbZVZXaltca1xdcGJjcWNkcmRldWdodGZnc2Vm fG9wdmhpe25vd2lqeGprfXBxiHx9hnp7f3JzgHN0gXR1em1ufnFyhXl6gnV2 h3t8g3Z3eWxtiX1+i3+AjICBjYGCjoKDlIqLlYuMkYeIj4WGk4mKkIaHCBIR lpCRBhAPmJKTAQcGAggHin5/l5GSBQ8OAwkIBxEQBA4NkoiJCRMSKzc2DRkY DBgXICwrDxsaER0cDhoZEx8eEBwbFCAfFiIhFyMiGycmGiYlGSUkEh4dHCgn GCQjHSkoHiopHysqIi4tIy8uJDAvJTEwJjIxJzMyLTk4Ljo5KjY1KDQz+Tj2 KTU0ChQTLzs6N0NCMT08Mj49Mz8+CxcWMDw7NkJBNEA/qUQ4NUFAO0hHOkdG wN0EPktKPUpJTl5dQE1MQk9OP0xLnJpRQU5NnptSpqVTRVVUSVlYSFhXR1dW nZlQSlpZRlZVS1taTFxbTV1cUWBfUmFgU2JhVGNiVWRjVmVkXGtqX21sWWhn V2ZlW2ppWGdmanh3YG5taHZ1YnBvY3FwZHJxbXp5YW9uZ3V0ZXNyaXd2ZnRz Wmlobnt6qJ+dcX59cH18iJKRc4B/dYKBcn9+eYWEdIGAeoaFe4eGfIiHgIyL f4uKfoqJdoOCgY2MfYmIgo6NhpCPh5GQiZOSipSTi5WUkZeWkpiXUJlRnZ+Z nKGamZxRUZpSmp5SUptTqqtEnqSbqapEU6VUm6ZTq6ZEb3x7q6qlqqlFpqdE papFOak4s0SnPElIorixuKKasbqivKeboay5nrqtnLesmrC4o767taCZRLO+ 0Oh4pqulz+VszVBfvbKkp7yzpK29m7K8zuZrt5ygn7S2+qP7rKGcyssssJqh raSespukvqNEFckg+CHz9xbyma61ubChr7egup6irpmftq6fw8QKtJ+o0c9s oLWv6Y6D7tuU4cUM2daPjuuN69eN7ZiT7NmP1OmDltqQ2O+V6NN44MMKXuRd 3sEFzEM33b8Ey+MshNJ579yV3wEGA8IJ0wuRyQ== "]], Polygon3DBox[{{11, 225, 12, 198}, {191, 222, 5, 4}, {226, 192, 4, 13}, {197, 226, 13, 12}, {193, 223, 6, 5}, {228, 206, 107, 93}, { 227, 204, 55, 44}, {194, 224, 10, 9}, {229, 205, 95, 108}, {210, 209, 108, 121}, {220, 238, 148, 149}, {251, 163, 187, 252}, {244, 33, 45, 245}, {230, 208, 120, 107}, {213, 241, 132, 133}, {219, 237, 147, 148}, {32, 20, 200, 21}, {211, 231, 119, 120}, {215, 234, 140, 141}, {23, 11, 198, 12}, {218, 236, 143, 144}, {245, 45, 56, 249}, {196, 199, 20, 10}, {231, 212, 131, 119}, {234, 216, 149, 140}, {253, 11, 22, 247}, {214, 213, 133, 143}, {201, 202, 44, 32}, {242, 22, 33, 248}, {246, 56, 163, 250}}], Polygon3DBox[{{199, 240, 21, 200, 20}}]}]}, {}, {}, {}, {}}, VertexNormals->CompressedData[" 1:eJwVlwc0l/8Xx2lKEqVQSVIKDSoq60ahoRRCdj9EGRUyKySUqOyRkfVF1tfe 3SR7z4wICVmPUEj0//y/5zzne87nfM5znvu6977v+/L9d1fFeBUDA8MyeVaT p9jtx3i2ZBauvzYCXfYFOJl9/RzHBwru7UqxkmxKxmyrhA966bl45Urg7uhW CnTy05p76HGYo/GnpvBwNv574PO07isFg61+Zh7en/DpYIDv4HAJJhYcWpnU ocBcpnJReWcRfuH6GRAhj/iHQ1YRAigYzi6QZF7IwMOpdnYd8sUokslY8rKA grMqWmXr1yUh28KXNV988/G/TjrTjSYKPJ3CLGXNYjClLaHpqkIOphwsd9To o+Bl0yclx0fhKLQ0ckX0dSaaKmyQkh2hYOSB+3LyXBCObj/3AvToqD7R1nZo ksRVo2F4dVsLJvFE1bII+UNYiNrfTPoUPDSYjrvD14S5crH6pdr5uPEPFcvb PAXTLytaBWzL8cmv3TfvbSjD3w6Mt0OPUrCcdtg0PLAALVaf1RvX/oi1qbKf u10pcOgTdKuqSUcvAaZzsvqIGC9upZpJwSwz0GaM4tF8y8VTnpqFaFuhqqVc Tzjs5vX8tzYKFav5c500c1HYyHP3ry+Eg9K6nIjvwVgJS3xHIAvlAs0b/Ycp 4BXc9eCpkj/auISeHm2l48EbCetbJyiwVWOkVwq9xqInDW/Km1LRYl/d+a0/ Kei/mlV4WPUF9t7BF+s/vkOz3XuEt85R8O1prk7gvnY0VLbfLSf3FpI/B2rT j07BWb9LjVsnW3DHNEePIVcpth7iG8VzU9Au0huS4l+Okndsajo9q9D1hGZW 6vQUKIhVfha+n4tZ2mM/LquXY+Vhdg0jCwpmUMJsYioJk9KfsQkLluIn57se lskUPGF4MP96/C2OdYdNqA8XYcf1VdzZNRQ4M77THlQPwXtjkr0qUnl4mqeh 70sPBQqFUcNZrX6oKTwpOF+bhVzcOx04CIfrXOmXrxe+xIRbrbHxIhk4vhC3 M4hwEPJtEFu13Qu7Ld67Rl5LQ3Hvj2a/piloua/me7XBA1Myep/NbU3GuP6V vnWEAw7QhmriuvDtoQ1q6tfpUBH88JQFTEJY4o67z2gdOM502UHUuBpfKrRE m5PzqwyRp5uqylDg+9P66uxGVOjoHdj4ZgrE7ndMlW/LQDkwfROlWIUVnkqx yZoUXFZZ1zYhG4Mm2/2Erpl8xNWSiSWR8RRQO+rK/qkF49q6R9+KuEqQ81mP QEUVBVaLWU4pY6+xstvEM3AwD5UlJ2P2EQ72vrqnt6EXrnY3N1E5mo3PXJ/5 136n4Neph3uFLTxwgMWqpOpeBvLs+fPMgXDg3SLFKRjghn0HrwiVJqVhQ7hA 7jjhwC9w8I5ogCse84qyTldNRj03Z7u1hMPw51cRz7hdcPnmTy/+t4nIkVPA cu43BZyOKbvzpXqQqTWS18S3DfmGM/N62cfB+RudcZ61GMs9l88vMbbh2VD7 SXPRKeg1Oquqph6D7uxiRveja/CZaRGfniIFYXPP/EcnfbHG3uRQ7ekyjIFk v9poCuys1u67LOmJP+PlTbc2lKCZeZnsx0oK6kbnbIWnXbF/0ilwi0w+av6R 7+nrpoAvrYtflPYYnYrm1awMs/Hi2N1HSDiw5r39IpfphHE+HsZPfDPw1z6W EmfC4fK1G3NXWxzQfZOPhFRHGg6fEROYJxx+vfozrOhqjz81DlfPWidj3vxA EDvhwNltWszkYofJs5UlbfmJeEp/7ooy4bBVImTVEssX5PMVXKobGsQbgcE+ jenfQZlXIGNDyWvkcqaJzu3/jGNL33LF2iYh1/wIg5ufGaSwq8Z5xdZivuVJ zUwZCvIMIkKa9Y2Bf4ewiJFNGTKm3FSqe0tBCGtiRNtdRZC+mXJ+ZKIE+xIs M9sJhz3O+ZOr1l7AasahXd/l8zF7KeE0J6mHfGm27SEvdTH7GadjiVE2inPo Jc4SDrbmXJmRqUYY7RV5SYRwcNcbqU8iHJqXCx9XfDTFsB/f799tT0Oh5IAt XEQf7l6vmZkPNMN3hgo2g4RDg5SKqjDh8GHfheECTws0FhXMohUk4jXWtiBD wqE0pHRL1CdL3Bj8obcsmoazcWE3qXkKPI6Lqzr790LwBmGH1V9G8U/2cPUT /R44kZpvtjO8CMwWnY4EXejA2c6a36frJsG+pPKjUQMN+rquK/OV1ODjDjPr WTkKapSw4tiNYPjDVW2qzlCG0jx7SjhiKVCTyBZ+8fs5FGlyft9jVoKrbnw+ yl5NgZ5GuYXvuUeg6rm7+/J8Hm5eM8veRPiIzNHvpEndhcWf7qU6x7IxLOT2 ignRjffDUiLPDbSBdl2h2+duBt67xKcyT/hYvzG4TuM6AviA3f5EQhqm87Lt ukL4DBXKHj2kcgEzL2wzsyX9crj7rrEK4fMqOrKLT0cTZb3MgiJiEvGIhkWm C+Fz+l9tpIWRAdaf+z605Q4NrZ6Fn+JboMCkwqC5eLUNrGUaCMl88B72ZrHy 5pRTcCEpdV506gWwqx9npblUQHOMsHScM5l32T01xz/lggqNvlNHqx1ywiBU kGkKTqULmCcsfgPpwGKX/+pisPlkVMvAwiik2698MhyugrfJRYa7eJqxdzh6 zcHjU9CYPq57Qz4bdCSsTMaYq3AqfZSbQY2CvbttpYz+xEGRyif1nT9KUcup w/ZBItHbY/tYogxC4MwpXdioUoxTD7rSbtZSIEgzF2f75wNJcWNuz9Xz0DiU XYmxl4Kn9pu0V7qfwJNpfTvrhiwca9XP4iLz19rGWWTeyQ4Y8vdTlYczsDti l9otMn9d2UJcojrM4Latg/EPpTTkXKw6EkI4JxyUWE6Z0YFXHDq5nkSfb18r E/IgnCsGOz/bWJ2FvaWlu+RtEnEuliZFI5wDNDML6zcewrgrYg5jFjR8wHk9 bS/hzL379dNfu5NgPjK20NbhE2z45aLt4U1B8O0Q4daST6AaPpvJGF4Pasmt 0Y6ZU5DYUpl66kQXjHsoG4wUh0DlV56tt00mwVZI5+0dr1pYat3UplVXgTFe P7/PFBCfkHXBLHFDITw/uV/CTvMTRibkNTebEz/wPOcag0UKtExY0g5qfcDV jhJM/HQKfFyGrd/tj4ZtoaU/WooL8ZCpipZ/A9HzbveZ3MVAcLX5I3vZMhdT qpluhBI/kz1Xbv9ivw+cCWT5PCWdhXRmkaAVwrNHm/EDa5QbGAnL2ho30HG9 cp3dLOF5R1PP8M4NR2i/zOyqV52KnqwnXs0RnjoKGs+/Kt4HLtvrPpjzDl/A 39RywnOTiQEJzBhO6slsjz+aiH+5bOJbCc9B4ZsLgeqZYJFv7C5iWgoGe2js CZEUPOzYoe1kVg7fMz5G7Ygvg+6FkJi1QuR8U+px6Y5mEFUJWExiCYFx6jUH G+FTu5DZvBBVDaP7HR3EH5bgu+E3dU/2kjm7aTiCgV4MVk9OUSqvPqBMpKAV jyfpl2Fbl+52OsgFX73RsbMEWU+tXFlLfGD7Us7ytkPxwHzfbmC4OR8D19+a 1W2hwKnd/40CczhsXDwhzXglBxdPBf9z7idxRbnq7jntD2W6MwXjnpm4JaN9 bPMP4ivCk62HxrxgzbaQZubrdFxgPn4+bIqC1Re9FJ6vc4OWgp9ib/ekoszE 0KLBDKnntrUPhjodofyvrvMTqXf46k5pxuZfFGQqXJTlS7KCtfK/HCU7EnDk 3OgxJqJ78ls3btibXAa+kRk0pdlCGBwMU429R/rlR577GctaSN+1u3oJ/SCI 53i9/BkKpvu4g1n9K0CPfXpyXVwWul/pid9sQkHVYliNzdYSuNC3VDn2qBAv yqTezif8Lc2TAxVuZ4K6dcm2KusCrH5ca8X5keikY3ed3olEONiYJyVWmIse 5Tc2PeggdZVkfWXx+Vsojs05qrg+G1k2pfKHDVLwbnOOGbtSMISN8lv1Z2fg S8VrrrJjFOjf3ujHUPYaTMXel1zzTket3699r1MU/EjW0PW99wxC4i7xp2ik YHrnt5puwsdbzWCaadwV9ji0Ha59l4RDb7aX/Uf49Jl2n7CpK4UDW2fHRRay wIBXWUYsmPgxoakuCekKGDbc73X+P284x0wrePOEgqhJ7jmX1DLQcGimr7JM xnDvEr5cPwpYzFfM/A8Uw0T3pb+/D+Tg12XaGh7in+/PZvu38mWBT6zh/ZPr clHitmtFNPGNtOgdq/cqvYNXu/9JlYdmo+7AhbxA4hNcuAqTrJ/FgHpQzpOn yZkYkGhmUz9E+CS4bzQpDQO1RZcT2fV0lNSf6fEcp6AoWjBNL90ftm7Zz37s chqKdYa38hKfsNzveF9S1wcq/dhTeWySsf7GBgH9WTJ3arxDleLd4e+l0K6D nEl4yXiJI4twMNMd3XlKshRS29MN3m6LQ/38aBX2dAoeKbgtrIooBINz3xZv rM/AnA7Gcr1SCtL/cieGSmRB5WvtizGLmejClmgiR+p87Mvglkv+ybDrxONL tBeZWGp8csaH6ANvuEn0wfVxwKqkfmX1RbI/KX0VWE30gd409VI/JAL47HRP dOWko7hV04lOMtcsHgZneYsHwYWcIbWnv1Pw28Sm6FkSl/eDn/PbZjJhvHp3 qp4XHZOzljfqd1Jw1KtHykk0BebfOgwdj6ZjnPvneWlSPy19pooTjPHgs+Ns nu8GOh6gSSr/GyUc+NhsPrDb49JDKyampVLo0DmzPjqNgrjtW0b0ex6ieuX0 eGNrA0yUjfUnshId2+BCVbytAs6P/Tlt2kNwImXl6OvREdA3mu18zPEYfVeL yEy+rwA3+cd8xo/IXODm4NhyyQpZTi+3H/9RAtLpAjyNxBfVfkhg0RV3gczH Fkz29p/hVtuc4OKnSUj6cqwu1M8dk/Nldtce+wCNLTpsaSUU/O1l6QyIfIl/ 3QN52JbLIKjluIRfGAWTWVp3WxyD0CntNOvC5hrYtCuzSl+FAgH1L+LVO6Lx UMFV/vCYFnA+HmcsFzIFds87B9YUjiEnOF5rHakBta3xzCty/aBQwz0UcpSG l8Slhj0yvoLQc0Vvvk/j4GrKnecj1AaXPXjzaCtd6LZNbUO+1TiExTUyCP43 CrmeF6LsR+oxay7peZ/qN7BnffU4KX8QLh+g09F9BEJrt1g5TbbDKpk7rhMa T/B393N6cnwJ1K7ZH+BN9gUj6Sn9fe00qKyXtd1lPoCDnsfYM+rHQFjMY709 VkOnrvvPTIV+LNzKLbdcPQZb7JIKooq7IXc27dN/igP43J/n6eebI+Ckwn1S rzQEP383W9poVAk9GfMzkdakTxkF+5J/0bFwEaUbr3dBpI75VVHlSdh42qBX e8EbJW/+DE3XKYWWFX9L2ywKgsxfqdTwBaDF7N/Jn71lcHeqfRfvGwoWeoLr tS3eInMlb+CJI/Vw0lBibpafAo1wualviUkYHlt2pOdhC1z0u5nMSDjHmsSu f7dYiIbzgR6RV4Yg2kxAZpUL8TmCa+z3G/UDi/bZmprRb3hyabpg/8wgHHz3 6vztag8cUm3ccMHnPZTUZv6b/kT2/fXr3wqy+OHJMkEn+4pS2OHEIKRB+lEp xVTnis9zfBt3YFnSuQTSH2ov1RKe9uPqikp1oVhfLzJR1lIOI7FzcmbuFOxU m27Ny4tHM7b7vDLKDVB/xV7NcjOZI2NFw/qy4RjzgUFflLUS6O85L3baUpCU cN+/rzsT5aRX7dWebQdrr4550/lJODRz+l7002EU6DUJEPMahLI7vRW6Kt1Q sr08uu1zJW6V2SZhJzEM9/UvijJKkf+8tWeHl3Pwn80Ax12HTtjuzFjx8t4k /DW/9uzwvf/e//n3/x+FdxW/r/tZriYzwPPRqPHIJ1xqX5azKi3C2HjBpAhT 4v9r4zhrNKqRxy/t1nWJfDzyQEHy6ikKHvzul7jrWoSrjJXbVPuKkPXqers3 URQwW0/yfr8Vhdr9VjYjazLxm/Cm981EZ2zTLQKsN4fg5Gu73YvH6aj2tZ9J mfgQ71dloOsYgJLzF3ViH6WhrsFkYzOZIwv8laqPNtSj5t9it40OWXj8SVcE 6xayb6oU/pbtbUaN+W3qI3IOoLsYNiNZOAVnJvmYMrX80BxuentopeJiTaig GPEzRTniGyzlvPHbeeaC8H/vcOyVqE4L0WGurmmd8emnKEElXMxnS8Kz8nfi keiwbo57/QH6E2QQ2n5g0T0RL3hIRMsSnyNrc3m039gZGx5yNFv0JOBmUU2L L+Rc/6GTkOCoLR4tlpce2J6AJ3b0v3lO5nuANP1Wv/gb2Dffb77NDaGwJbiy 6j0FX/Z6LyTb60DlGqlI1iQaDt8/1f2L3Dfra+l8EJcCp2MeHxMYQ5DZoeUk SPoiqrPKe8TpHiTkmC3v2J+APDFeAq/Iffq6Ad9d6tnQJMJvPvPvPdBFePxi kig4Ltl8K3ksH2T/7DSyUi6BqfjSusUYokvuCx/WytmB4qqKRpHgBLSbaB0V Iu+xUHb4IWv2EDxucEy6zyWgZ8a6xjYSl7ZUkH2ZWxk8dHFZqOH0BPAw4Mwh +V2n0mUqH/0RClm+aImzeaAPYzFcIP6/pHBNOYfqa4j1bjlvi+/w/biOfjnh 7EEvqtpS4wdrf1myyVkkY9N8hGYP8QOcXKluhi8+wGRpy/p7mjFYrJa49U8O BV5XfmuJGRaA7CNv9UybVOSRnjZcIvsa66Bm00GpKPA84sZbq5WG3o/evSon 9aNw8cEh4+kgUHnB80PZPQWPW0QmnCJ5b2VQFuUeL0dRkc8tJtOF2OZZadGu ScHKoNiOJw0fUP6Y5rmiG8VouTM+WsaD3D/8UvupbAG+OS9QoXW7CO+hcW82 iStSfdeQwtgbLG4wvihI9pG+d9Ysj4j/CeoW2/9RqwnF/fhzcqNoyJuZMVw8 MgV3ehfcOANrsdv5tZDDqxzce72DoZiPgjNZefeePHLEWyo/TFgNE/Crw/mD ioR/cUTWi5EyNdg187pqNoiGW6hjAmvIPmJ+XuCGfFQsVNWtqSj8giB/YSVC qpD450hHYa4EE5gYlDloM0BDWtNv7irynh4GoZ0PtR3hahkzu2BDAj52Gnu2 QPK4MnH3SFitFQymM09du5SAM8HuFy3J/QJ5Lu4DRq6Qf95JTtoyEdmE9J7q k/vK5kEP3M75gq//Y+W7DMkoYhy1YknyONB3eeZX0wsI42hkvrKW5Fd4RDqR 7AVyCroivdnFINrCw+ZXk4SHNX6O9BJ/cuCp5a4dxW9hf4eROMenNHSeofc2 El9Rp+Q8FRoRBhp5hp9e30xFYb58+0LS77bKSQF/bgVCIS1Fk48vBf/Jv/jQ TvJYnBhx1Z3NG23h6aPZn+9wiJ8rrp98z+etUwxdgh+hrCmpe3NEJqzo0KOP Ed84eDPwb/1oG8ppKYd6cdCgR0GZ+5b4FAhbfmTgj+zC96oTrFte0eFeQUWc wZlJqNSqK7av60K9IpVVTDl0uHhI7ki32CRIqFtcaODoRxvW1BaP8hIIq5ng 33xnHJyjzCPicr/hkZmTfp99m8B1udPGrGEETvXqGNp4tOEbpZCATkEa6Q8L piOKU/A0unbzSGAXXkpWA+aXdKhk6RUQkZsEt4EUM8vt/cj89/2Suc8H4O74 2lV7YxyyWpY6fykModaH3g3W1q0w4a2T0Fc2DBKse5q81L+jXDL7iqtNLzCo 37LxLB2E0HK3eyeeDaERj0vv2clBUDURF9gv+xXwZtQcj1wLfq78qWxnFg3l f3b9CadNwf8AeXzAvw== "]], GraphicsComplex3DBox[CompressedData[" 1:eJxlmHk8VHsfx2eGJ0JxSaVUl1yyJFS0f09Ei/TEVSrqqhDXVjdEm5tsbUpK aSHKUqpbtpRuP43kqrRMRNlF3GwNYsacmXk8z51zzuv5+cM/79d5/WZ+7/Px XUZnR6CTJ4fFYg2N/MmN/BGP/TJLzdOg/4yDOP5GL1pmWr4s20EKUarjfooa Uw069Q65Umkv+m3S+o4wkQQa4j+9G/exjX5++wad/JkPJbBxuEu76uxn5BV0 L6nAvxM9uTt3IGkGizhrGsItDOTRXKNY551iihSoz6W4S5s533mWFNK2OpoY kR9o/rzxXKjde+ZzKa6lK+xRSpRAyKLndnJTvtFc5dmvG8FHAqRxyo3wld9p fjVd1fLrSgkscJ+1ZqfeAJpfaXvE3/ULWmzcc1KBzyJ21ifXVHR3o1vKGr/7 135BKr0v8yURLIK6F8V1HX5bqqDO3Ivi+68fvb9oL3Mvih8sejHNViih70Vx n7OCmVszmHtRfGd0XdNbP+ZeFO+9aJj/3oa5F8UN7kWGDv8kgYhpoRwyaJjm 1+foaDepSkBR1dE9NE0K1H0b/s0/pE+KaQ89acFeeqtb0NT0TfLJimzaA8Ur zBLrS2IYDxQvv91h1yKWAuWB4pVjYmMClzAeKG6p7Ot5j8t4oLjjxnf+V4IY DxR31h+n5U8wHiiuqD++z1ab8UDxNkWXMXEcxgPFf3sVzOvpFdMeKM7rCpvj 2CKGJ47srEZHIfL8X05q0averj9u7GcTlB+Kb5iq5ldoyvihuPt0PS+NOMYP xc/HnsjzLmX8ULzQCk25NiSh/VBcQ7/dsOYo44fibmouUweXMn4o/kAp+1ex GuOH4t/nfp3zqE9M+6H4Cjdj39J6Me2H4rp/H1mg8IbxQ/Fjl+ytrzwTw0qW 5i/DuzgExS0SMgcc/mS8/eOThwpOaU6/mMF4ozhnr1KzujeeKx7iGq9+UX4e zxUPfRT4JE0IwHPFQ0l+iRMEqRIsVzxECmzuH16C54qHpmQ726Vz8Fzx0NX8 obTSBjGWKx7iL/9a4l0mxnLFQ8+s3MJePRBjueKhhJynCvZ38FzxkL1JF+mQ wXij+MGD38zfp4phk+HnFyJtiexeXDR+VeuDO/Vs4v99ctFPwvvSshrcJxc9 7/zRZR7CfXJRdP+B5ucXcJ9ctNhdHD3uiwTzyUVh/unVqxfhPrkoI8Hk4OJu MeaTi+7scfCAEjHmk4vkV9TstbiF++Qig1UpZsmXcJ9cRP7r59KPZ3CfXHTo dPXkluO4Ty5ac0bLKDIG98lFjWn/yhVHiWFiV9Tu2Ap5mhfOdDn8boRTftC0 xUWWts1F82xnTPatlNJ9iuIdU63HRs1k/FB8qCuphz1yX8oPxc9N32SVe4Hx Q3El79a6B78zfiie+UVhZfVexg/FE/TWaj/0E4NI5ofiJWU/2Mz2EcMRmR+K 25VdOSzcJQYFmR+KK7wJvfOLN+OH4ryn34y+jJyjEsaOK5RQfiwg4HFBi6kf 40fmDap3Tq9q3UAClh+Q29Q2oECI8fzAKm21Gr61GM8PWPxxb9rRZaPyAwPT h8zWLxmVHwAvP0uvJaPyA/Le5Zb6y0blB2ItlNTGLx+VH8j3sbThrhiVHwjc 9ump3OpR+YEzz4qKMxxG5QdCEmy3zHHC/fBA9fJN0cUxIswPD56opaXE+ZJ4 vYJjMcKO1SUkXq/gq9bxsW9aSbxewfZBi+3BQyRer6C52qUvTX5UvYKKstmB W1RH1Ss4oepyvmzyqHoFOsZmdYE6o+oV2EzMn3DecFS9Au/1JpFbzJk5QVb/ wfn4uhS+qgCwPgif5VrLq7YNA9YHYZ5TUrEqEuF9EM44r0kj7Um8D8Jz4/m6 yadIvA/C89tn3RNySbwPwuc0jb+dKki8D8I4fZVFr5pIvA/CT/uU7TO+kXgf BOUDAUGWEhLvg+C7xqRigdKoPgg+3jXV2pqj5ihA/O1ON00EWH5aIN4ju8pL IMTy0wLDd6ryVReJ8DkKgr8lpCY0i/A5CmwWnOx3WoznpwW0P21M6dyD56cF 1mpO482+QOJzFBioxdZ15ZD4HAW7T78OGviLxOcoKOyYa7a6lsTnKPjxzwmn NTpJfK4Gwa4HyXcXMh5kcyk8L7s4DnIZDxSP0dswMKVyGLC5GsoCumy2Ronw uRpiu8PVd/eK8LkaWIbGa8PmkvhcDc317r+920HiczWYXVBO140m8bka9vXb mw6lkvhcDTNqXE/XFJL4XA0hRooo4w2J70GQ2lVaPSmKuRfFO8tN+25aivA9 CHauDLZMvyXC9yBI3Wqp0i4Q4XsQnOhuWvrIjMT3IHjrv+PBsy0kvgfBiQE7 la4DzP+dbI+DyxkFge/3MJ8r2/sg01BzZwJXhO99YOLQc3hQnoTg9sVT00/x ZbnNAaJYpbfURwgRL7o/XO0QURyF2TVFt3xjE6KaCWE6RYM0DzqfrnbrO5vA zkExecdU6uvYRF1n6X7H4g76/M/bkri8D3h9zoHNwdoP/juPaWSXytlZf5Px NGiQ9GdkPSEBOwcRLr4Nk8ylNP+nb74rakx8UREXL4FrHjk3VV066XOs8q5P 7AmUQMGVR0G5SULkUxTn6ZEfjmKuhgVeHsshzLKbJ1r5DdBcbkvq2BkGHKJN y+bk9hAJst8R/dAxJxy9OBrJ85awiZIxq2qVlZhzToz3+BitzCGWagYeOl3X T3Ot2xOPELM5hPoPuvFb3vOR0L1vubD0MFTNC77pP1kAYxouLr61m49eZ/5Q OzfRB/LkZ5wySRZAnVdPJO+QBNUMVnI+GEeiDZtFkdViNkG9l5oWZ4GVMBzZ aYWeWy3HoefPMxteuzTfD0ezrmglnlDi0O+Ler7cPyi/WpNDz6XU86m51z6N M+LQ75F63m3+k6PzXEdxWJtlsrMsRgA5gdtX9vvz0c2jm7gZk3lFpinxu/J2 c+g5tq+xVe5saxfiCmpiq3VZxJu78QV/V/9N/55wPDriw5XNzD4+VjdXGn+j B01UbzfoeSCl/y8oHtodn82JYPZH6vzY6b2zVjlJYEH0Hv7YXwX07wbOBQuv 31kgofN27kaLaa3lV2SdL79r6+8s4q26yaZfk/vp3wFSWWtfOnxmEVTdoJ7X zT8ccVJ/JFdPnQPCtaX0nq73ZFG/hCWBvn9LNjyWDNF79N4ecQFhzSbcwzUK vJ+wCYpfyGdnt35i9q95nYRdbUgTCuK7ud7wYBMqWQHDydJhet+sWe60JSOK TVD9i3o++W5uVHyFGAKy7RU/LZOj97vEr7c87xaJITLPNVFRRNL7Vyb/8hL5 AjZxy9z6Q9wSeXqv2e82xex7ihgwDtdsLj29bjnqfHAK7MnfNpnpp7LvA42X Xd4uGJlzsPtCxH2XxJDvJO4f7u7dc7AxTghYHsBj/rbDKh1CwPzDlABrZaVr JP5+ISPKZ6/rSaZuy/IArxS2FZruYeq2LD8w6LSioUhBhOcKeJZyz/YtJfFc gZn/06opu0mYZkGccn/Vhtptzdfp+XShgNfHXC7PZRFKr3wnZ7vWo9QQC/3a D93o7BqzicYSKVT+0mp17ueXSHLe69Oqvh6korDvWleyFNTFFiaTdvZB+3Zp gL+oGwX8HsmZHyAB1WZN3buz+CjOOuCA/8sOtO6868PlWSyiomTMAH9zF9oT Vh7iX/QVXWSZV6MAFnGe1xNutHEQ8T6+3a63sBWdatSYWaXNJtK6jdzTA4aR x6QczlmPeiS57mqUc4BN9K3Iz+fHCJAwM86mNrEZPXMIWKSxnk1oPzy8tE6F RB6ZYeH+U6uRkcgyxzGVTfw5yf6y6Sc5wiNJvXeV0wekUjnwaP9tMVyxWejW 5CBGWRMy8wpmv0WCe5/t+rhswkpo9nDYU56QcXBrM+i/tlQMQ7nvb4aWjpzz z/lw6dydVVwDMTQLezzlRuqW7PtAoV+nfqaIhIWvDRdvHeQQsu8Pw9rqp//6 QQx5xcovZ3xlEbL7wp63LJd5bSQUqJmojc8WgswP/KidMfXRRRIaTy9bUJJB gswnbDtge3NJHgnyCw03KZ6rRTL/0FQy4ZuUOwwXgtcsUn3XDbL3BenV97o5 5iRUptrUSSv7QPZ+werF6a6Xm0hoKvvLzdZjEGR5AOspj3uy95PQk966OmWh FHbYBJXP4H5B+x7zdQxG6sP0oaK5x4v6kYyDe/OwY+rPAtDw41Vdte+n97KJ Se3J3eME8MdDgwnrnvbT+wjFqbodUWwQumNmLc2LnYfW9xsycz7F2/L1dINj mPmW4i8z1grV2P1oTepcN9LhOc1fbPZ0ejxrAGXdmjdnrBdzTuyK26rtmf2I tW6D9Lvee5prNRSo+AYNoCuejccOcJjz9zf9dUTBqw9d4lxqPZqaRfN2y5ld xQb9KHRriH1t0p80X/hooX9XZR89D1C88P7FWb7NfLQ2C+48PhRB84LxHMuf G5h+SnELzbwdt7MHEMt5zdrQV200/w8MHDZZ "], { {RGBColor[0.24720000000000014`, 0.24, 0.6], Opacity[0.66], EdgeForm[ None], Specularity[ RGBColor[1, 1, 0], 20], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJwB4wMc/CFib1JiAgAAAEYBAAADAAAABwECDgQFDwUGEAYHEQcIGAwNCAID EggJEwkKJRgZGQ0OIxYXPzAxGw8QHBARHRESHhITJBcYGg4PHxMUQTIzJhka NigpKRwdKBscQDEyKx4fLyEiKh0eMSMkLB8gJxobMiQlNCYnNykqOCorOSss OiwtNScoMyUmPS4vPi8wcGNkYFNUYVRVoD9LQzQ1RDU2RTY3Rjc4TUBBTD9A Rzg5nD5Kn56ZVUhJN0ZFT0JDUENEUURFUkVGVEdITkFCU0ZHSDk6nUtXWEtM XE9QW05PWk1OQjM0XVBRY1ZXXlFSX1JTZFdYZVhZbF9gaFtcZ1pbWUxNMCIj aVxda15fal1eb2JjZllacWRlcmVmc2ZndmlqdWhpdGdoiX1+d2prfXBxeGts em1ufG9wfnFyh3t8gXR1gnV2g3Z3hXl6hnp7f3JziHx9gHN0e25vin5/jICB joKDjYGCi3+AkIaHkoiJj4WGlIqLkYeIlYuMlpCRl5GSAwkIAggHAQcGCBIR BA4NmJKTBQ8OBhAPBxEQk4mKCRMSKTc2DBgXDRkYDhoZDxsaEBwbEx8eEh4d FCAfER0cFiMiHSopGCUkGSYlGicmGygnHCkoHywrHisqFyQjIC0sIS8uIjAv JDIxIzEwCxcWJjQzKDY1JTMyKjg3JzU0Kzk4LDo5Lj08MkFAMUA/MD8+ChQT M0JBLz49NENCNURDNkVEOUhHOEdGOklIVmNi7mLqVGFgaHV0V2RjXGloWWZl XWppZXJxYm9uY3BvZHFwX2xrZnNyXmtqWGVkW2hnWmdm1gsWmZ5W0bQF5s+V Vp1X174h0gEGop5Knp9K8pn0naFLoaBLnqKd07YK1LgMA7UJoqGd723sUl9e kpiXoKFKaXZ1Z3Rz9JnzP6A+np1Wi5WUipSTPJo7iZOSiJKRh5GQand2kZeW S1hXTFlYTVpZQk9ORlNSRFFQQ1BPUV5dQU5NQE1MP0xLoEo+SFVUT1xbU2Bf TltaR1RTRVJRUF1c4sqN48yPls2QPKaso6uaO6Wqpjybpz2cmqyjsZxKn7Cp raabrJo8rps9pK2bm66kq6War6ecgIyLwMEtwtkuqUqfe4eGeoaFtrcKeYWE s9AEfIiHfYmIvNYWfoqJO9s8pTuav9chdoOCFb0gf4uKPaeusJ+ZSqmx623v cn9+dIGAcH18b3x7cX59zMmPy+aVgo6N0LIE5c6U5JiThpCPwdotgY2MPZs8 juKNbXp538Z48XntnLGv9qj1maiwoaJKbnt6x+CDc4B/Ydxgw0k6a3h34I6D xd94dYKBPpw9xN1s1SRqQA== "]], Polygon3DBox[{{237, 121, 132, 247}, {184, 213, 13, 12}, {240, 110, 109, 235}, {200, 232, 132, 133}, {190, 216, 34, 33}, {198, 222, 119, 120}, {202, 225, 140, 141}, {219, 194, 46, 60}, {32, 20, 187, 21}, {218, 195, 58, 45}, {220, 196, 108, 96}, {181, 211, 10, 9}, {221, 197, 120, 108}, {180, 210, 6, 5}, {178, 209, 5, 4}, { 222, 199, 131, 119}, {243, 153, 86, 233}, {23, 11, 185, 12}, { 236, 109, 121, 241}, {216, 188, 22, 34}, {201, 200, 133, 143}, { 183, 186, 20, 10}, {11, 212, 12, 185}, {213, 179, 4, 13}, {234, 98, 110, 240}, {225, 203, 149, 140}, {217, 191, 33, 46}, {205, 227, 143, 144}, {233, 86, 98, 238}, {207, 229, 148, 149}, {206, 228, 147, 148}, {245, 168, 153, 242}, {189, 192, 45, 32}}], Polygon3DBox[{{186, 231, 21, 187, 20}}]}]}, {}, {}, {}, {}}, VertexNormals->CompressedData[" 1:eJwdl3k0ld/bxlGhlKJISVIpUqHS15Q7ChUh8xRKIkKGSqJIhsxzZBbHzHHM cmxD5nnOLMkYjzI38O7fe9Z6/tlrr3X2/uzrvu7r5rlvrWpCR0NDs4a/bfjz ffpzje0XBeYajmYZeJMhI+8fk+EXAjz5uS6qn8uEduraWfoEMpSPLdLJjBPQ OWIm/4M2GfwOXysK2kmG0yQJ5a1pAizuTnOKSlRCVk+OUTxbEhgWJ6iy5BCw lL+0ThdTCk7PU0t1GHJBcdOzxqCSgJy/h1IjxfOgLlDvVuIGBVz2pZrKdBIw OzTOqhCSAUcuvVIg+VCg0uS/X34jBBQosSTwMSSBVGe/37ZbuVDepXFq2xQB 1LoX/oYRMVBsE5LXX5ADLhdUL335QYCl0/s838vhcLNgQv3taiZ8+7EnYWmR gIX+dyL2zZVwgk3PSmg9D/G5eYDIewJUt7ENiF+phVzXbR+u3/dF6mzDJVFv CIibP7TsklUNWi86yHRWGRDtS+UpDCZg9+NNi5DTZfBjQOHv6ukCGP1H2s5F IcBmKT+kiycP/D4a2/xHXwjij1xrExoJmLRN2HZcMR1GAvL+fY7Mhx2C80Vh AwS4cJSm2XklgmZ4wZu3GRQITbWwb5kgwCHFncm08gOob7hcym8hg4Thr0HP OQKO/zeaZZATAlbb7QIv3M6GIM6TXdz4XuyvRm0k7vrB3dOJ57jsMyC169kp wyUCDBp9IxWT3eGvQmQ/38E0UDD5cyBvhQDZ/Uw7j2dUQ1BsLklxqRSNj39Q +/iEAJpjL9yvWjXBoP9a2T8UjL6EzTXLXiXANNnjPXNILeSEueTQJ+XBl1hb 0l5TAuo3PjTa76fCzZE/dbPOpXBLKutRcSwBc8sh4XKPKBDms/q+zq4EPCL1 7Q9WEdDoONBscCkV+NqKJEVKC8GjRmfP014Cwnl5lDbexYPSHLu1PEM+kNf3 nPiA9bZxScmCRfE9PIf03LH8XGgy+uwiPUuA4SOmYJrqQDATKafe8c0B3dXA IA2CAJIY7d2gJ17g3UZJzNTKBOY+28aBXwREzJ5aZJxzhdoaraym9DSou0Su uo85jAvcWw/TpIBlsYm7kFklMjpGYknB5w/e6arz0qIGlL7HDh1OrkZfy6/H 7zhDgNOerItXejtAWDV0I213BJojAg/sK1mA+QrzzvW4BjgUwSh52YkKghdf trw5ToAEw99oGnIZ+HmJMqsFVAD3Yz4bLk8C9usuugz0kEHAh3y4l5MKZ1i/ Ke8oIYA+XnST7Wwy6A1aJE52FAPL/TPLd3FdvOwJiZLbFQ1MG5eu0CoVwIbo +63XYwREtfPdPSYWAs1frTbmPCmwICszu3eGgIeLV+wmZr3BqvwCC5MGGfwW yfIfFghosWmTe0fvBh1swYVxx7IggUnntxHmQ5rMsp/44ggDt4c230img1iF du5ezIcid0uaJ80WdsiuOEr0psDU9ekLjGsEpDGEvVk5mgYiRtzrz158RtZc 23U8fAmok1Xg76J+hjyfvfO00S2oGlnEOlIW4JmIS5bopX6Yb3l9eaYsAgWq NbI+Mp0HJEcba+7dBFMk/716zbUgMqvy7RfmaRcma566sxTI9bXaz7U/Q1mR c3vHYwL+vSu4Q2OZCZ0/rEh8uhWwzVGc8QSZAD+XSbt03gRgi6yc6SwrhbNm qrohrQRkczP9KtwIg1v3xF1vWxXC4RZN7UjsJ/nLNQ4+vH5wNWx338KVPCDv EgrfxH4yqEdbwRznBg8EpJ+ZtJKBQbn5+dI8ARxmf++b6zgC3SNjGsOGLPC+ Q/Vf/kmAvpzWu1F5G+B4puGHCtLBB/5m1SwTsMfUSD/e3AT+M5BiTxZMhb8c 9sldqwTUcF9oL9tmD97XBNjznpYjMenzXAU1BHTRXFsRXvABO6GrCiSXWhT8 00Y86TX24fzBxoufC0GVRObU1+1BBR8gkp9xAbZZDlukbHwDF4rUDePmRNif eK3z6/o0WJ8eqDSerAfBHbWvj3B1gKlxJw3fxQWoO/pPX0c2HypkM9xnd9WD 8L/nHDTqBGTKlEk8+J0EDIdbn3LOVMI52vKnT1MJKCpwYIozigDuqrOvmFTL 4HrzRta9JgI275WL7Nvyg0wWrup3mkUQ5qStQDuM72VM1t0ceAMqes2Fdq15 4KtZReHAPC0uFAquvXwOZI4bVvXncsGNhkntIeb5uu28S1yvBbDIt0zMKGaD wwWV8xGYZwqf+L/MX/oQcEC/0HN/Bjy6U33GA/OsHf/SZ297DY5XVh6RtU+F 5Y8kSRLmydFoXNrCdBYZ0vetz1qSYNjnT9bxdQKeaP879TpkGNxdwoO2DU1D zdGN+DeGg3Apq9iCM/oTWGy8PB9+sxeWvjSuijXPgwO1rupBKwlG+jWUeaiN 8KrXwm5JBvuVIqq9oPMefnM0mGnSVMMVrmPUAx8JUAtYPeOz+g6IoM4TPBZU uMFLnGdpIOBbJbtl0HVn4Logf0hprQgUf19iaR8kQP7RnEW2pDXs/lgko38h H+RL07dMJwn42Vcj+M5ID3hsug/5W+dCpX34nTXcv5aLujRIHOdh98vK9Ysp 2fBPwfuIEuYzUSoteFb1JqLcZLN4ppYB5wasTVQxn2v5av08+troV+0GW2xi KpxjYKK4YD5cDAv3G2yNkG7hquJZcxLQGzzm5sF8juZIsv/ZPYT6+p+MN0+M g6poXXRbzndoVgyg7KQGIpqvOSeXefuAP960RKR7HqbvlW6+CbYAi64jVd4f myC3J0iTIoV1YhQT0WFoAicOCwg9sK8G2sx7is3xuO6ENWO7reWhifnPzqkf VHjfoJvXU0fAX12eebodN1GUP4P+d9lieOkzJXoQ8ym+so89wv8uyvc66Eh9 kA+XDxikLn3HfkhvR4nNeoAOCLLuFgrKBSMpu9Y0zKfjX+mr2ioz9GHmu411 TzacyQhl5cB8rDUaf62FWaB0Yzn7cbsMaJVUVRPAfCpO3pws8bREJsL8eaSS VLjD3B1ujPlk+HHsj/tshYbajhlUJ5DAZHP5HoH9jfmex7FiyUF0v/LlftOg bnD+9q5kmGUOlEKqtq0xl6F5dwOJP7TdcCKMQjwWXoDhB9fU1DUTkTuLyAOb hEbwMvvEYyBPQFXYSPD0fBDqDlFVaBKrhqyMV0FNCbjfyd/lvS3hiQw/jc6y tlLhcF3ktSrMZ9fxe88FFl2Riq22JqtUMXzjpx8awTlBc+XKCWHSKxT2US/U 1jgfpvpbnBDmw6x/ekiG8hIlBLMmv8F8fl9zKXuN+dy+o7Os0vkCue/xE5fs zYbJqyKn1nBOWAn4PSnv6oB+ap1rWMJ8ita+hrNgPox3jpUxujxH+uPqV3qK UwEVBSkpYz7Pw+m/Nyb1Izf5ukOaGmQ0gWZELWEe7Br2W3mRelHiJ5MwYZMG +N77Kv4xXlehiRVrr69Gp76/bWnIbwO53uGvTFELkHydaaGGLRcJCcaXxMnX A0N1X0KGNq4Lh8zuH9KJaOZnCNMd0ypYFKsvj00m4KQMV82W+nt0+/SWyScO Kmh3kvhq6wnYweHslDkbiPTh4M6w8SK4tWqadBLrp+7whBgb8kb9T+n5VAXz gXmZL7QJ81kRdTouYOmBvu62pdY/yQWuY7+9XmA+rRseB/lD3dBgw1Z6RVo2 aLTHF85hPqFCPx4Jh7qiPHPWpRxcX6YerM93YD4c2gYxXodc0NdPr3adjE8F sydau69jPt/eFuqHnexBxsoOR2Vk4lFGX5geWXAB/KKd2/fPd6LK0bg4Y45K UI3fNYuuL0AU63BkZkgN6kwmZX7xrIeQY3X5WYsLICdS1ydgU4jy9GZnbmvW QN05Fq0HlgT8QuIWPxbSUFqO1z4B/kr4/NrawyqDgDc0T9cC5+LR7MCHH5qT n6BXg+5QPs6Zr2nT9cY1I9CTWYlhVckiEONqHRnCfORK4ybzuoKRtsA8/1pT HnAc4nxxAPtPp67AbY1SfzQyev9bslAumB4+whmO+eiD8GU6dm/kfdOSLvZO NtQZSTxewXw6bdSDVFo9UGbusNcy9ueksc0ResznSaOWsQpbJ0rjimvafSYE fYhQ/0sh43ttKCWb87SjyqGA45V6xeCYl5TE3bEAN5L8uk89q0GeS3EyT3ZW A+/n4+aRggS8mzvwKDqsBN06aApzelVgYWvwZcCVgBcj/G71jTnI+xTjdWlD BCj5sq0aztsmbE2kXw+Skc6U3oaHdils+3lCT7kF5+2j3J5bO+KQfMOJwpfa hSDwwPPoyhD2SUX6gpjv71Ed/OE5D3kgE/a4LQRz4OY/8vStYgiyd4kUm+4i A59OCkMX5hAmWJNTdyYQtU+c4KxtzwInFY0b+7HPjIUwfzqn5oPMnG7sZqhK h85eb4H9y//rj/yPPXw/I2XOQrXxSSr8fMO6Na+P/9co4rcy5yfUNVKiGSOL gL/40g0IxfdqlJDYtZ6LmDNPFvbKlsHW/RNl/jgH7jy+VM1An4a0VDprBoOK IYDbbqdOO84DLz9YSVskoszulHYVuQLI5Ktx1MJ5ZiPhxm1H52jEqW+9VziQ AlHj0ZLSuP9OPXX/l7EcjqbZr/uAARk0f3R3n8X9t8xtZi5fIg8x3JmCfocS mM/XuH6gggDaLMc29+4MJC2lUFBALgQmQw/fyC6sh+LsjkFyEirQ+t1Yei4f tp76vW0exT6W9Wd6e+ksOkFhKuycakRajX+ZN2XGwIBnn30FiwP642TLyPin EvXqX2VIyCYgiZ11ynDQCWnWLc61dbWiH9WzY6nMBM5N7F9q4+tBiEers1tv ArnSXT8UOD0FD64sGJ7sIUFdi/SzI4+/wrjnBZbcllk4T8d+725sKzqdqppO f2oWAjmnFO/Vj4EE36GmxUvzaE7D60tddA+Qu5surNm0QM2R8Dy/M92AGJha SZv9MMHsu73Ydg7Uveu3O6AGKFZxWqXIjUH3ToB/DbMgcnw0bYdHFZjLPhRu OzgJOTMxdE7Zk3BDkKw0sicCbaCVhwfFKtGJMs1u0TwCfhfrecw45KKexas7 uF83ocbR4IvC53A/Ev/ZcuS3B5LQWRY6fbQCVUUhU7lyAhTeHFtdp3uPZujr AvRsG9C698cIQ10CIt07LhfwfUQymlZVXFyjKKtlnPXy4hy4aaxPmohOItsp Gl5Wn0EkqdhXEmw/Dgdusn/YOTuP/ok27zoc/xFNHP6zejeiF5Tvr1WLz3qh yIQmZYo9FeUs9/H/wf5paNwQy787GO2NUC5xqK1EDzs6T2vhOd29MkPhxdwH tBYr0VP4uBalHLeMtHxFAKf6YldRUTKy2GfDLaXcilqUHNSt9uI5QoVu72vp fLRGjRsyPt2HyrxuWfmWzAOVvSahu68O7ZdiE38uPolsDG8J00pOQuE9snvC 20l0/KuVjYj3OKr5tTR6V3UA1hMeWpVGQfnW///wHL7QtetnjbrUQY4sN2Of Cpiv7GR4op0IZeqp+38XENA2hcxkE6rgEWedsvg+DyjtCISbOK96K63qihiX gLSzrybFPgu4riwa/8F5jHlcu51PMg48z7txN+lmg69zekAN1r9p6omzJovh wEA4mam4Z4J45dkUUVzXWTR/61kbg0HdjDZI2jIDmlWZdAbxfKQnGe5Q7VYN Ti4u640HPRF4GB0siCNgoHFCl/laFbjr3TKulqKgvFiC99R7Aqil22sOqAXC R9/OG89QOpTP6RvW4Hn8bsem1IsSD3jXMjNfK5UGT0SbJj3xnCUmamaSMVsM XSJbY7bKVDQku9a4kYjzgErrjLSFEyxkuli6L6dAmeLDtm7cd8j0X4OOaOZD u9CJx7+2yhFZiCs4MY0Au0PMfU+TMkGmQTXn1CxCkTQmL/ixPuVdrCt2yDyH aYPlVuH3KbAn6uD0GZxz3C9F+k69fALjexicOXlTwFXq/KkAvB56hfxw7HIU nFwbe8zmhlBp5/u6eqzbQ/lD6xkO+kBzO/oocxoJIqeDB1bw/iFP6hn+6WeI OJ1OHWNPgcnrktHv8HrMn/TpMZPXaIvT5Y7lYAoomBVZDuHza8+Xt5wmv0GC Yl4p6+6p8Px+dIL0//J8/6L+3OJbJE6k3CrelwbXZM2TEeaj+O2KmvPOFiTO 7F7J9CIPppPkYphZCZDxF+do1GpAElwtfBrixaD5a1NCRZSAacNURopuMOKJ yvZz180C6Vq3MyL4fX0DquGuYyiSWLul/9E5G+4azbd1EPhdUkUftJ3/jLQY WV1tKz+B9ye11BgzAp6ujolbu35CdCbK3Wojn4BZheF5FH53UzMj7u8P49C2 sJ95U9spIDTiTO3AfrtiszvUbm8EmqbsM9i4SIamXkNGZay3FSJ+kKxTCSdD +CbnOqJBsaF8iSsXz5v8X0p1DKnwUt4278NwKvxMDJUVwD7sKO7843tFEfAQ x3hRRTakcZhsteC+dvqYXZKhWhTQmDRLB3hngSt9gZwVPr/AM+6tiMBqWAVf 6ZUfHxFnaJPz00gCEnnlztni3Dlrc3PIT/E+ipbc7GHG80vAIOd3d95y2IxK VXdjLEVuD2mpEtEE/HHa+1VclwztOxW1wj8jNKSyfaID+8PakIzwF44iuJrc IBTDVo463Su83+OctnVKVXt0LAlW/OI5fSYQ8qUpJJRx/3K2077VyfIQ/n6U eZvQR4LCtEMy7VgPr9TWqpOjwmA67qvRWSWEdLsdGbPxfQN5YrpVuZ6iheCR Q96rJCjfPNqXjPdH2T80eXX5JbptTLr82zYFXp9t2yeG1+VyJHKymN4iGFDi Xe5LhYDCb6dXsE58p9KXY4td0F+vDru3B1KB33BTNQ3ryot8u1GW7InijgYE 6NekgXn7G3kWvN8luN2e+2wISqlr9Qqpy4L0i47PcnHO0azY17PndiAKvhee Qr2QCZT2lnEP7AOOXddo0mUqkLqXAnOGVhk8NNf6b9Ab++qpz80XiuLRt4X0 W4EvKdA7F39FCucKHaNrxoduRSGvt8MOS9tzQeZyTN/KLM7bLZ6D8qXhqHDw YNml/BwwjLH7Lb1AgH24Qv+u1x5wrtruVbtIGnAJ3QsIwudMVmFaEpnpQP/0 e+yb2N+gg1OHJ1WLF0C4aY5Vv/Abosn44a8S3I7cnxg4BLdOgcAkc96HA2No id0jfbWOipbiRdqPm89hvQxu3W/tR5RB5gBKCRlFP6oRNxaZhzuroZ/bY/rR yDkTUl8QGc3kRRs8vjoPfiT5qqjpbkTLOq5IcJBQsU1RiMXlBdAZIKe+2zWB 0vRcFWYbahHJlFSVenMaKnTyg6I/9iOqUfivRX8yspk0nzuH54JvjWfqTNtG UcmSwah8dgn6/em8W2PoHHhEUFP8BXuQoP/VYcXyZDT8SjlT+cwC6Hktybhu n0QSWvR2vDCEOB400xVbjYNn/hJvuNwEqhh/y+Jv14V8VPy5zn+eBJUthbTt GxPIbvufdDrxfvQugzv1a8wEeGQ78idIfEcXWqUJjcxxNOpj9YhxbRjop9PF zDm+IxfuWuuHU+NoOVrxpnjtMJg9y/uydL0THamzZql/FI9y3Lr3ItIC/B8B tzWq "]]}, BoxRatios->{1, 1, 2}, Method->{"RotationControl" -> "Globe"}, PlotRange->All, PlotRangePadding->{ Scaled[0.02], Scaled[0.02], Scaled[0.02]}], {192., -189.}, ImageScaled[{0.5, 0.5}], {360., 360.}, ContentSelectable->True], InsetBox[ Graphics3DBox[{GraphicsComplex3DBox[CompressedData[" 1:eJxlmXdUVEf7x5e+iwUsYAELkQgiGgULivJckaJGzUtiQ1RQQMUEMAiIbRcL vxhFJFiwgiIIiCGKaCIYn+sqGoN1QUDAwkoTdoFdBKUt756fc29O5vUfz/me OXdnPvOd5/nOYLUu9NtAXYFAMF9HINDT/s/c+iG9YHIKrJq4wcM6sxnTz452 G1DTCDEm/b6MMSwFq1eLrvX2NuOlGyW+hmlKeP1L+fN+L2v48S6uNywXT2uB ZZ0KyxcJ73B9+JWTN4IbMTltpWWnTwMkTIyU/hEq4/XyGt3oPW/rgftdTndz FixwKq2HlNVe9nbdJbxesvhl7NPpDfzvcvrwk0eyoqcoIXLmfQ+94S28bl5f 8EZso4Lu8cmpEs82Xq/L9g9JGt4GTn62C/ytP+DUYvfdwT61uPN2aETo0mbw f5VU9lipxEt9BkUHV9Si+D9TrkqfNfDr4nTV1K8k4Uwdvy5O32X2TduUqBp+ XZz+u9z7bJB7Db8uTg+TfAEhu2r5dXG6/GnhJ/Nv3/Pr4scLPUYFhjbx6+L0 t5MmTdoS3Qp7RkTpdod38nqlyeMA78IOEJp4+UWl9AK3Xrnp1SljfAQMx6Ep JWK99Xw5Vlm/jRygUfIcOP3rvLSFOqPqeQ6cnp150trlwTueA6f7j/3OOPdO Fc+B09nM4j3SkCqeA6fnhLXN+hgu5zlwurNw19Q/BTU8B04fcXLTEcN373kO nO7nuevq5q0qngOn29+QK/5j+A8HTs/DZqj+U8Dc9tLJeOPVgYH/75MKXJxU FvTYR8X7hNNjpxjh/iwFz4fT93uckG4bVMPz4XTn0vG5gelveD6crpE3MWPD Kng+nG671W1cbnY5z4fT/U03KkSelTwfTv/WbGVBHbzl+XB60XUn89TYap4P p7ekXRjGHFLyfDj98KzpN9fqfeL58Ostun0OxTqMp8DMt3ODLsPpLomq1sOJ +jy3zzxlKHoQm5G74B9unD52WeCCj381Ur6SYUKcz5QXQVWUr2SoMd7b5iYp oXwlww0dP59eysooX8lw+r0p34wylVG+kqH49MfTW2yKKF/J8Pfzd7v0HUoo X8nw5W/eicL8SspXMlzjlv1Q7VhL+UqGvc6H5uz/oZ3ylQy/Cxqc7Vimy3Pj 9GubQrf4lRowMyuS7i6z0aBlUXrXvIF3UCz+Qs91cyv8m6cUFRl2zTVhNE8p rkqtcVHIaZ5SjOn23vU+tIziKUXn2owhmqsPKJ5SdKpKsoswuUvxlGKXk880 nCWleEpxxqQlkbNX3KV4SlFsiq9ND9yneEqx/tSaUcuzHlM8pbi70VcjiSqj eEpxZLvlxaV31BRPKc50/bNh7NcGFE8pLg4KlNv4GzFGBe8U12X6DMdTbexf /2yYkFlH+AjIP6Gto6n1iPJ8js9n9ZwT+f8Pjg+tc3xoneND6xyff+sCAceH Gu/USfj8W7/yRzThc2eEc/409+fO0tXWNmX3RLco/wDxD1L+AeIfpPwDxD9I +QeIf5DyDxD/IOUfIP5Byj9A/IOUf4D4Byn/APEPUv4B4h+k/APEP0j5B4h/ kPIPEP+wlH+A+Iel/APEPyxV34DUN4qnDEh9o3jKgNQ3iqcMSH2jeMqA1DeK pwxIfaN4yoDUN4qnDEh9o3jKgNQ3iqcMSH2jeMqA1DeKpwxIfaN4yoDUN5bq p0D6KVL9FEg/RaqfAumnSPVTIP0UqX4KpJ8i1U+B9FOk+imQfopUPwXST5Hq p0D6KVL9FEg/RaqfAumnSPVTIP2UpfopkH7KUnkMSB6jfCUHkscoX8mB5DHK V3IgeYzylRxIHqN8JQeSxyhfyYHkMcpXciB5jPKVHEgeo3wlB5LHKF/JgeQx lsrnQPI5UvkcSD5HKp8DyedI5XMg+RypfA4knyOVz4Hkc6TyOZB8jlQ+B5LP kcrnQPI5UvkcSD5HKp8DyecsdZ8Ccp9C6j4F5D6F1H0KyH0KqfsUkPsUUvcp IPcppO5TQO5TSN2ngNynkLo/Ark/8r9L7o/g4BX+MPqCEqn7I5D7I7ofD5ic 16eH+CEH93yz843uOH2m9m6S52lLHYbXrYv3BlQZMZdmHYz0vqbH64EF8X/p hguZPX8rS87WdxH/58AmK4uXTn+osats8Dar/HZe36h2u5Ls1IIRdc4WaYdU vF5hb5xekF1D+TMHH46SnkkYZETlkBy8Jrud2u4iZK6Um5feV+nzusOg8xt+ OyqkcnIOrE6yTXx4VoWxhgYnogI1vF7l8fL065OtVH/JgXDDNe2+hxU0HyB8 WIoPED4sxQcIHxZTDxbNfv2RX1dMrNKic0sxlcdycOiy+ecMxzRCtXfTMB+2 i+gpmBpRGhtnIGCup73Lb4wUMJzeqPPromvLhUzUyGcNmf30eH2wkc9wY/yf fUGyL1BtGNDU7dhD9BSwi5k1+IhrK46O24ouZzt5ffaTpT7H5/3PPiLZR1hl djA+2vATP16snDL72hAVnjqTtFYa2sbrW5d4Vv48pJnedyT7DiVjchz0X6r5 8cNrr7ngtgasbCzY7sXW8/syrh829m1Aqj7nwKqMyDnh3k9xUFaBnodrC/+d 7e5tba/sKvGirHzesOUanuer96+c7U8aMf/2Wwq69+y2vWomZMzl3kULpDo8 zznPvnI0OyOkfJiCJYfcUOeKkKlY6aEr8tbndc2dW532xVp916LCxK0afj5j U8cfd8xupX0OxOcsNU8g86T6fg4Q/7PUPIHMk6XOBZBzwVLzBDJPluKMhDNw +ud8HM/n6nMBOZkmyxv5delOdcz0dLzO5+EZmy08+phEw9PJgSsKn/6TQ4ze umzUMY0Gk+thZUMPK3GMJrHp8skOTO7Y43wsXoK3f7X5fWuzCh7Y5W2Y9MMH nCestLwdJ8G63Q6vVYImOBIre2rVrc+8sDovc66KxmjNhKDLA0SM7krjCQsb eiEoPy4w4LoEUgzepC9pFLJs2o/u1Qd1me1EL0tOWW1kLGKLYu94YVM3bL0w oMLxeBDmOSh6zCqFzAWn6SUT6nth7lr1nI4CMUa7x+wqUWj98FtWLNshYEb7 fdbzVuVV+muEzBAz4fAXB3SZXKLXVg1OvmEsYipsTuSL4/UYFdGtTzw9+qWJ iDH9UrdpZqQGo6YdDc5OluBQs8zLt262wumRT2pXT+zGn56PXRlaL4b7BSkj Wj+ocWHEkl1lKV1YOPWmz70GMXwslDSd1eZt+zNBBwYad2D/Y8NG79Vy892i HHbuNxUkij3M6gQf0bV0suBsoxiG6J64fiSrBUWZqYt8Itpxb0H1+Eqt3mFr 77t1VQs+2rfmQGJlK8YNMEsao+UsOrGj75uhStg77IU4uEiF564GXB7cKgaL 83NUthn1aGP0w8OMzSp8dGrzkx8VQfB9p7XifXodvsUF6aFePTCKcDuab9Ld P0nI5Jb9ohsJOjyHM4KZp5boiJhtXuLJU0r0mItED3115PlAUxFzwt5ofP/t GryctzXjxP1oOHrGd29WXiv9fSDfZ6nvA/k+S30fyPdZN1LPy+RLPk3vkIBO UXLAvmghX885/VijV3yiRsjXc06ftiQzva6/iJWMPLBaqOiGA3j5nSDkgPPQ CW5LuqxErO+wwPLiXRrsngntvcV78XR0Yb1/fitwdXjvmjk5WcUS3Dmmf+7a CjWvFy/1d5f3j4aEgy11yyrU6Dc2z3Kv1id+eal5r9IkIHa880XRzVZcnCHR SUvsQBfpzNFG2n1s9rzp/XuTij93HfdXWhcflGDUopfzG56qgKvbJ3vnVhQU SVBtnrnJa18Lr1/66i+HpdpzGt2502LGvhaUjE/uM7xvB/46S51srf1+rvlf z69cUeHAjbYR4zZ9wC0+0uMfFGLwnDFAKNHmZO5cDzYqGFb2swStLsysvndY CVydT74yKsXykQQ/1bXuSCus4/WaSyFV4wZFw8h+t8cd/rsOJ0+Irz71uhUt 59tOa1GKQdN/UJbJCCXuCI/wbA3Wrq/cbHsfO0N4u85OkFpYh9/XbGqQrtLm fOK3+Q8wwqBGyFD7i2R/+Tr/aIXiffwVCaZs9p0sqRMy2xutUke56zLW6z5/ Z2hCa8wkkYih/IDED3z9577jMS1muat2fJj5hWmrO/WZiwn7rZ7JJDh84Y5T 2QNFDOUfJP5hjMh8OF81COMmd9QKWWpdQNbF139u/PJboVkikYil5g9k/mzC ky8f7NPoM/o7hcOeGOyBe4erwrK1/qfmCWSefO5Vv6nWS6hWYL3zqstdro3w NPuXG+9L3/N/R3CZsGGWzSgF/64Vho/mWWc24fq0vJWe5o38exSnl5T2vVj8 nZp/j+K+X7FU1/d1TBs4/d+PKtGmT/zfC0JfZfm5LP3Ev7Otf2N2pxcasDur q2zMBQU8G2i/YlNSK//+P9Fw3roQw2Y+Rx1NlU+smNaAIaKSOxPcOuHcnSUh Este/n3ePN6meZuyF9TfaJbe0nzk389dwrrPP21uAT/JoBsbb3P9VI6xJ+a9 c6zR5fPklEbGoyLyLXr1/domcbcK+maEdCb1dv7zji2X7O8yVgO3X9z4tD+2 xy/U12dCsr4Wlrvo8e+6Peo1VoMGGzD7cn2OC7u6+XfXascvgz49V8Olya4l cbP0+fdMvx5Tj58vGzIrxr37u8uSyxVSTFBOmBgb0ArmipjN+x/r8+91s4WV +6N6jejxQMYjNR7IeJaaD5D5IDUfIPNhKQ5AOCC1XiDrZSmeQHgitS9A9gUp nkB4stR+AdkvlvIPEP8g5WcgfkbKP0D8g5Q/gfgTqfMC5LwgdS6AnAukzgWQ c4HUuQByLnCEA3PI71EN1rlPXmwdpMDot04BbVGNYPzo+6FZPq/wfKTD2IoS JS40Ejs0WzdCsW/19KPfFaLm2PryeeomjLZasGesRyMM7HGwH+Kvhrq1vSHB XUq8u2PqsyFFrWBSZfZFtq0K41xDdgQXau+rxa8rsrcq4fFdww8qbwX+uO1h ZHB+A24v+HVJyEoFHJM1SeyWtaPs5bO11jOq0XWLa/4W1xZIUdr5pYV0YsCQ HN2EgFcYf2u5bXiJCtRu16+rfvqEHelxcyuOV6HdEKvpVhYqsLwpnl3ZtxsD 0rdJgi1K8Ur8aof0zWr4c8jXpyeW6zEBJwc2z/u2BKO+yn58Vm3AnJk7Y9Xb RT2YMTg998aEZ2ibvN9A1qOGv6v21QTd12dirOxcKkru4thAWz1hpRHDDq7K vd1fg0SHWzP33PbxacXpHZNudgbqM+Q7EFbbT3BiuBGbER08et407Xw+/y5s ypPt8P1JjR+vFWVGFWjn83meEL8Wslw6DNiqjqZAPT1dhqwLKjUZ3h7f6LEz noxzXt2uyxAO0HO0N7/8T302l+1TOKpBwBBuEHrwzfPdl3TYG6b2pv2zOoBw hrCrFuM3ru3AN4ddnO5e7AayL3Cvrdhj/bZu1J8xboXwaAWSfYTsgE9BvR6N mBixYKbJcyWQfQeL6cfuFZWqsPj83MreYjUQn4C5nv0aD6U2Rz34a5V7QDsQ X8EZcf8X+r7tOLHgWeYXLb3gdf6ak8/IWlzm63B4aaz2nplWPT95Ri+smxuu vaLU4v24pJ2nLATMyI/5jgfyW5HosPla7fG08c34XzZx6FQ= "], { {RGBColor[1, 0.3, 0], Opacity[0.66], EdgeForm[None], Specularity[ RGBColor[1, 1, 0], 20], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxNl3m41lURx89RXFAoAUUTZd+uLLIqLlcRhAwV8ioaCEpERKCCa4sIuJX7 bloK3FLEqwLmhmwqkREuqUUpmprmkomVRrln83nO5/e8/PF95j3bzPfMzJn5 vZ0mz2w4bZuU0v05pW1D7hCIn4m5XQLbO7ejc+z5UqBZYLtAq63Wv+wcZ1o7 1zywp2dY3yPQItAy8BUla3tpD31tPLdToJ3nWNvbdXT3DnQIdAx0Deyu7g6e 3zXQJdDWtW6uY7O7El49lNjpFWivjjo5YfOywJzA3EBP9+7l3tba28e9zI0J DAsMD+wb6BToHBgR2C+wf2CwttE3wDvAcaCyu3t7ymWQcz08X6fNQ7TRL3CA d8A39YG+rg0N9NfOEM+x71DPsXaY6wOd66z/RmpviPcZJPfDlXD8quvYP0J5 YOAh+Y0KjNYGfjlK2xWvLt5/vfNHum+g9o52L+e/Lg/sH6PEr98LfDcwPXBf YFFgYeAXgVvleFtgvhwfDCwONAZuDywIfC2wMrAi8PPAifImnt+QF9zHy2m0 9tg3IfCwe05wPEa+E5XwPUnZEPh1YF2gKfCbwOOBu9T5fe/0rcBxgbGBXwXW Bu4MTHHu+MBUbcLx284xHidfuH7H9XH6aby8pznHeIa84XuKEr6nKk8OnKac FJgVmCzH05XwOkMJlzOVcDxLCZezldg/RwmvH2r7VH0wXV4/ULJ2rutwIc/I 9z6B2YGZ8vqRZ9A3R37wmquE1zwlvM5XwusCJbwuVBKLi5TwuliJjXsCd6fy Vi6Rx3mBS5VzlLPkUd2H85fLCS5XygP712qDe1zlHFyuVsLlOu1h5xrnOHO9 c9Stmz3PuRu1d0XgJu2x9rPADa7f4Dn2/VRdzN3i+k9SrXZTT6n31GdqOP2B mk8/oE80d0w/2MV9rLVyzFprxy3UR62m7lO/22jvCrk2d44zWV3o3tlzbd07 Tz/CaU+5Yo+a3U57eztGV3vH6O7gGPsdHaOXGtVZO10dw7eb46qvdFMXNbZO e9TwHtqrc4yNXu5rJteW2uvtGnupvdRYegi1vK88+jmGR3/H8BjguOolA+Q1 yDE8Bjvuqe7Bxqad/oLTEG3D4wDH+KOP/Kre2d3xge6DEzW/XhvU6mFyGppK fYfTYY6rXjJcfsNcg9cI1+gLo9Rb9Ziq5yB5d9Rd6tsJ8h7peewd5Tr2jnaM jdGOsU19HpNqfYXx3f5Gz5JU3vmtchzj+aWp9Bj6yh2p9JxjA8tS6TcLtDdO fvSlxlRqOn2GnkG9phfRc8bKabxnsHGi46r+UvvoAdTkBrlMcF/VbxjTK5o8 R5+ht0zSNrV6spyow1PlQa2ekmq9aqKcpngGHtTpafp6qmfIS2J+sLynqbef MThEe9TAmanWY2akWo85JdV6yaxU6yWnp1ovOUP71OFzUq2XnOX9p7te9Zsz 9cUM16p+w5mPUvlGGaVtegV1+WVjsVwe1O7Z8qhqedVL5qRaL5mbanX/klTr K/NSrZdcoA3q+sWev8wzsz3341TrQ+er93L3UYup19Rmah318Ub3Xekc565y XPUMxvSHaxxj+1rH2KbOX7eVjeu1WfWEqv9dqN6btI3emx3P0z7nyCVymxyp +uVF6rvFO/BmeDu84dWBVY7H6n90PBJYk8pbIm8bXUcu9vdjgV+m8v7Io3ON JW9xkecWqIPawXvgXUxKJffudA4evG9qB/lKbpDT1AHefoPr97jnCO/AuWPc 1+D6En/fIbeF6ro/lTcCrwe8x4ep5Nxy77Tc+28I/FY/jlT/CNdW6J8N/iaH /xD4fSo1aZm+u02frpL7Un3NHN+9j27lmzXeB3+s1Sfr5YB+6gffqN90jjXq Kt+ufwu8qV/X6duH3XekcoN6Vvib9X8FNumX/wT+rN/x3yeB5+T8ufd7N/Cn wL3ekQ+BP6byPf9+4KVUvv83B15IpfasN5582/838Eoq395vB95I5bv6rcBf jcs/Ak8Yi38Hngx8HHhVP+KfdzzDfXNweCbkZ4G/6Mdn1N+k37aNPc+G/CLw mn5/Vr+x3uBd0XuQd/x7Knfb6F258z8DT4l3ncNn9frtvcDzqeTcS/J/0PHr rr/gHe/T71sCT6eSl5u08bSxYf2DwIuplq8v6usH9NMHxnSl8a2X0xY5fWRs F8pts/tecY18ftnY9Aw/jcylppCD2+Ti3wX6jXgvNyYfGjP2EENyc/v4vV1g aC71jTrbNn7vn8u3y6CQbXL5nhqYy7djW+NDHMjduvjdPZd6+D/j+Yixne94 o3PL9Ne9+o/zzXLR1w/9uXzP9g/ZMpfvXOZaOE8e/M682GxMFppTTfrgTe/F O3tD/eQv75j3/mkqb5v8/MTYLlLXGu9Abq5yL7mMb4blUv/JQXTf5fkl6sPX 3A/f8/6Wev/3zalGY7bSGPIeiAPvg7xb7L53nCPHeRNwb/Le3J861D5s1efy ffOaNh811xrNtU36mJzsEHsPzuVbYotz5B3v5iDj8by+JPdb5RJvYv2E+haZ R1XdHZ5L7In7oSG75NJLPtV3q/VZD/1GD94nl15JzvY2b3fNJc/IscNz6Xf0 yhHxu1cuvXK++YRfX5fjY4HdY32/XL6nOubCAw6dcrnzTGO+2njwrdA5l28H 8mKd/uVNrDUeXX0PvIXdcnkPvAX+o+2Uy/+qvshc/s+9avy5c5+Y2yGX/yi8 11HGe99c/oPx/+s5Y0ve8CY2mnPk7OPm1o656ELP/wEilzqS "]], Polygon3DBox[CompressedData[" 1:eJwtkUsvQ1EUhc8Wj6ItpVWPEi1FPOqRePWWRBDtFD+A/oB2jjFmhAQj5kZ+ om9ln8GXvc6996y7197ldvey0xNCqEIvrFsI5/CJ/oIBdA364vtB9Cb0B3+2 h85DGV2DYdjmnKZmqQnMQYfzDYyjd6ES/M4s+opap7ap+9RJqKM3oAF/kMCU uccv3EKJ8wWMwTznQnCvH7iGGZ6fwIp5lhc4Ri/CI/oOKuoduugHOJIX3Afv uQXf0IRp8z4OzPtSP0OwparZwBK6Cs/oN1gw/6f+JU9lz8FE8BnIq2g+O3kq Rx5GzfMoZxJzl2LWgvls9G0aPWJ+Rz0U4w6ycQc71JT57jKwij417+0d1tBn 8BF855q9Mh/GHShLC56CZ8qYe8pL/g3zHWp3muFynLlm/Qr/lgYkPw== "]], Polygon3DBox[{{271, 328, 21, 272, 20}, {98, 314, 83, 283, 84}, { 313, 73, 282, 72, 58}}]}]}, {}, {}, {}, {}}, VertexNormals->CompressedData[" 1:eJx1l3k0lW/U/lEoSZkpSilSGYoMlTYZSpIhFA2mUilNpFJCCiVDlKEkZEpl pgy5M0SmzPN4nMFxOEclkan3uVu97++7rPXzj7Uez1r2s/e1r+uz19lfMjvN wcbGZsDOxraI+P1HzdjhMk8Goswfalq2dxBCUyqHV6kwoNjy0Wtb/gqkObhV 9ZzlILhrnezY92oYuPiag3dUN6Ew5+HDqeMk2KE/4v+unA5vPouUpn6ugCO+ 3Ww7hUmQdZnn8rQLAxx3fASP/nfQfVHDNyRoEPIMI63L2RjwoD6b13tNKlp5 vuKR3TYyeF1cORobOAzR88FhYRfK0Ra/6mMhrmTYMqLAdZxMh0XFEjG3tjYh tf0de/01yMCxRdq+bHgIvJWXNPax9aDPLZZt+oUkkPvDec3qNQ0S3eZ2hDwg I8N37x3YZrpgp5N63VlXKuQsjsv5ztYFriE52r4FTTBexhzgzx6Bp+8Tr2TN tcKvIFnjfPteOCO+xplDjQFR2qdfhJhWQ06UhJ2s5iC8Y1904KfrMOw49cbB 4EAWeOw9+exKFBmSLg6zZLYNw6R6tPHuhFdI7XWcos96CtSvlJo1b6eDbJIl 6SyUIpt7flWxXhQwcV738/gGOjzdNHkngNmASqOFt0ZEUaCw04x2dZoGg1KL 2MwMuhG3I8OKP5gM1YsD2QMtqfBTe71F7xYK6nHqYfrE9YHBzZEpMeLvKuJX jdMMh9FN+c0bWmoqoG2CYR/9aRB60ho4NY/TUZqQJHN46RcU2c00deohw82L MoFm2/ugrWLm2prJBgjK4nmUSmeA27vEZTnKXfDrUZPvq/Y+uBvGHb6vmg6c KqemHcTrYM91/equUDIMbDpmfQbo4D/OzOZYnwOuym7ee2MooBmWTnl7hA4P 9vIMa6k9R7xc0XoNUxQwNP2RGSdLB+aDrtyEuWJU+F1Au/YSFVSZfRVVl4fg 1+5nhkdZdWhfpa3g3hEqtD+zrc4TosHws6+c1uadyP5alL7fQyrwqVjvtJwj g+WK7uqprRSkuISCStNIsGzDziK3KySwFmUX5hUYQY2yeZZPhL9AsEV9+jdW PzD9aZff7xhGOdW8AWqOjcinaemQTzoJIvM+v/hS3A2xvNvfv4zMgNHtXlHL ykZhf+ILq5RmEpgEyqsv3l0NVKnkqPhPw7B5tqL4mmw/jDA9p66ZDADPVtPV 6Vk0WOJ6VqeUVQeuFaG/OWWpEPxS7NBYAw2Oprk+5IzIBnoZh6hGKBVkRFgq 9neHoFdbB+TZHqMj813K9m+o0MB1tcTq4RBMvcnlb3X4gE6Ksy5ZqNHgRmqm nXQLDbgDBY56OH9B7eb+dv6rhkA9dGu+6n4qnDXy0TfLb0Vn5YvXxYQNgWua k9T5vEGYc7nMZ7OYjBbrWrnXlVIgs1JPwup8H4jqR273fD6KskpaT0zUVUPd HYek99adYG26ethCeRhJtX591l/biQ76cP981NoLrdZneRfxDCCDFWlOQVvI 6NwhvQnVGTKos6KFzlN7QCzq4JFHt4LRHVvrLIdHo7A9kbJmdQoF2NdmPHo9 kQsDz0a2ze+nQ5qvDteg6SDsqavtqk8mQeKHPzFOZ8lgYPMjqSSnGoxOhylk /KbBqqq37lNAhQAw19nclg7GeaQvXvY0mLAvW9VfSQP3DGXRPs+7yGboeSrn dhp84Qtofsc7BMppIXZBHRnIdvuMw/M64j0d3ZlvVjQwX0JbW2ZTglTZwtb/ 5KODql2OztdECiT+NN5wRK4BBZslVHVfHYbMlc2OYq9I8HTL3uNDz/vRq3PG Rb+D6MBe3ZapKNcFIq8O2XGFMJG8kjqnyJcGyAw1cD7R2Qi+qnIrAqk0JGQW V9/eM4jqGVd2lMy3w7iIM3rR1YG28qpLH+yjoWvGcV9XxAyC35Y4cb7cFnCT kX1uZpyJgiWGGh4qs8DybJzrm109EJfz0oD1rBBxTWUzH94dhbo3r0oYs1SY 7PsTHGxXglQ4d9343kYDIflGSiOLDKcF3xbcaaLAq00uJO6abvDbpWX+M+8T 2B1Pvo0K6GB6Wn+6vZ/wV4vmNS7L4+HerDnDaJwGNR29Xhf0aOAoNJazQ/AS ktzMbzd8nwZV6e51awppYJdym3dKNQ59cp4JXbxlCCxMtulI8tJA/sHaddri Wch/k0+RRDodJH+cTx3fTYGfx19CikMJGnb5/ca4kQHfM5tc39MHYMPvXI3J niZk6XhhE7IehX1aYwpJ1DYw5jqtxrw8ihb1Ftz/ldANNZn1hcUvymBZDCN+ Q00fkvgqx/3oLAOprklcVjzaBGExKnf7ntegjI1Xb8rXDqMH3kXxt+JIwArw TzYs+ohUnWIZpxfREKfGbUdeJg3Y/v1s1uVjWq4ag8vjG7ODxL5CyszPAPeJ lx/0eSNn2/yGoXF9bEL1ATLwBctv1fX0+tCi2CzQLTsE0uGOtI0iNGg7HUev P2SgfjZcQ8E5ngYv+apu1sfQILA/nRlz9I76ybx7s7kHhqA8TH/M9jsVpEre 9qiuCFHf7yFnunyIDvZ3DiumilGA7ftI/8jOl+q5TcM3ig6PwJegT79ckwZg OLIV7S7MVA97uGq2VpIFq3OS57bEt0LA+RSX6MsrdwfJiT81GhsDHf7rglKW Gf+rH7RQP9fZjK8R+kFh1rr8WD+jOg4srB/BV1OlhH7QUZ6fR7B+Tm97cRPr R2WkYIzQD1L6svEN1g//49RvWD8HjUssCP0gV0nZW1g/d3VXzmL93LrrsJbQ D3r8LXkY62csL9gb68c9dSiX0A/0J1jZYv1I+ip9xfrh+6WG9QP3rI3DsH5E LTr3/kc/sFA/nvbNWoR+4PEapb/6qdsxfw3rJ/vmSi1CPzBtVL8R68ftaaIq 1o/NYTkdQj/g1Nx7GOun1YRZhvWj7/X7E6EfeOYkOhNA6MdZbs0arJ/1k9eD CP3AtuX6Llg/KrqPU/+jH1ion+bkeuxvKNtx8rM/4W8NHo/++ptwoAP2NzTU w96K/S219fBff/NeErKE8DeUX1/Uiv1NROFSHPa39n3rUgl/Q/U32LZif1NQ 2eGB/Y073FiP8Dc0esW5Evtb2zkFCexvFo8rsb9BhH/Pa+xvhYd0WrC/FcpI OxD+BrLrRuywv/HoWs9hf4sfvCBF+BtcsFn0198UEsx1sb+xOKZkCH+DSg7V SuxvV1Xzz2F/s141TVhnP9w4YFiA/S0+kZGD/a32PdOe8Dewrv40JUz424yi 7kXsb+Wx6kKEv8EbqbpK7G/h7mgn9jezqohywt8gkCd1Dfa3nau9mrC/De45 ifMUdYL7N5ynCd+E/uZpSiDgPEUPHH10cZ4uU1n7N09jPRU/EXmKPto5/sJ5 2tdyRALnqQ5v4z4iT9EuruAJnKeDFFdTnKdvGm4HEnmKTiSxCeI8zfV6rI7z FMo7tYg8Ber269twnn6nJ5ThPGX+cBMg8hQ2U5T+5qlAqKM9ztMnlAdWRJ6C udFeW5ynx5+4FOA8nTbdZkjkKcRtui6J8zQv7uqG/+QpLMzTkFv8W4k8hX6V LWScp8uynsXiPL244SONyFNwYzdKxnkqQNL4jvN03uTsCiJP4Zi5/imcp+Wc HL9xnrovNX5E8BhKZe6+jXlMruRAAOax6gJRPoLHkIblIQ/MYzupRyIxj52q EZwleAzNdNp+wTx2sab0GOYxB4WsLILHkGylpg/msZTKbWTMY7Ni+QyCx8B8 JVkH81hG1uVszGPnmpLzCR6DuOl2TcxjRqKoCvOY9MNWA4LH4HxnuxDmsbWv BKr+w2OwkMdWlLo0ETwGDs+KMzCPnXarKcU8tsNRX4TgMTB9RVfDPGYnZJyJ eSxWPcOV4DF4ttjQCfNYrGjWMOax5N1fswk+R+b3l+7/y+e7l/+Xz9FCPj8n RY4h+ByZx/w6ifnc38bVEPP5oob+0wSfI62ai+GYz5+0/fiO+XzdznoTgs/B 51qJPOZzzyMJc5jP3WQDyASfg2j61GfM5xv28U5iPk8smfUg+By+bC+Xx3z+ 58c8BfO5K9sZdoLPwfjNnqOYz+VNXnFgPr8ULHyU4HNQ1f/Sh/m8oKNyBvN5 jtp1I4LPIVn1lTXm8+5tLnaYzxXW7+Ym+BxEhqorMJ//khc5jPn83z2FFt5T nyIW6xH3FHrw4pMnvqfWRSvZ4HvKzkt6GXFPgd1kYxC+p4pr/Bn4nvJfrxhB 3FOgcpFuge8p9uxIHnxPhYzKxBL3FFxR5wJ8T7HvbTqF76mA0f1fiXsKyrt1 uvA9JTlQexXfU74HP6kT9xSE2gua4XtKN0arAd9TFjxwirgfgdNVvAHfj+Xn jUfw/XjzQMWMBE8FnGnm8nAj7sc51/7D8f/vfoSF92PJftnJkQ1ktElaPGn5 USLfZTuzx7cgUOPKn7T/VI48m9ePcsWOItq1z16TKV2QWXFamByfg4qDGKjq CB35P337en00BY55y5lrkNqQR9TnuPTmIpTWyP6pPpUJxY+SI8yuD6Dlsasj 56arEWubbVpGJANKL/7xudM7guQrGgwS7tWhsu+joFvdDZraV7k9RBpRbXLm hS1RTBQuuDXAyKQRnlRlmiWdLUJxz1M5ghIZaC7kkvDkMRLAHnOvlMvpyKj1 dl+kJJEjmtz7LZYNwd3hQY7oZd0ok13b2fV5GXokwDNS/XQUrBd/drShNqOt MakGJ/JykVja7qVLDFmwi6eK/1I3BbWzufAXCDehjd2rv98kcnWdQ6bQ6AYy tOr1BOH+nFb6Qcb9ka0LnyH6A/VDdQzcn8blH+//pz+wsD/KwszbPrRGFHr3 eLwzhQn9ktsjE+xq4Zbsod5PJkPo+12LI8wcKmS4J6230v8AAnlcvnyqTKSW RU7w5OhCQlz7171dkwDzDAmJQb8CVKv5MuTSEBNF1M6uc6hphbF3qsEx6imo Q5BvkXA6cY+OqBYt4SZDuE0pngtYPFE6g+dyfOmXv3MxCuoXMqhuQTmT89+S 6IXI6rKOt+BKFjRHvBu2lulAngp7MsenStF172P7o7SYcI/JCifmCH119zPx HHfP7XiH5+hvu+39hawedK4n637X+WrkKKFy8nTLCMifGwy68ZCEtpIk1SqG m5DN0byx1KXD0Mw9eJOYO5xQebIkkZh76P22HXjucmKH3MukaehHTfFWm74u tNFbNFSldhCOlDyNW0QqQ/Ev5cIPKo3AhjmBnDtSA7DKWWiMRR5AAi0MTe49 w7CleFmrmWwLlHE4/TG8MYYcGQ2se2mBsFRAdtdzqUr4MMfLye1dhZb4hpz+ UMtCQqGv2Q1CK2GGSzHufGQJClHwMDUJZKEeLSFOTlIDfNQos1eWy0SdXxg2 wn9GUPWBgpdfs/rAU3pO/teLt4jbX9JyTR8DlZe+vyF9gAR14ZBkOhqHLvg+ 5l5tMISsH9t5lBL+bdHpy8Pv2ozsHoeqZ8l/QJu1qRzjFiywufpnBaFziDLe 5oR1/li5LQzrPCAjWoCoE0g2OqdwnbXbt/PhOv/pHxbqn+O8nA1RJ1xIfG+H 67xhbBCF6/y3F7BwL/7VCQvrjOesjSb6DKKu6ZG4z6RnShm4z5/qTawXn4r/ 8Cc870vJ4AhYMx1M3pzqh/CW3ZtXO5eirCSGhN7UKGSKk4wdwzphuZ6lwAfF LvRrraflBE81kin4LJfpNgrTNK5Fe6cHkTJdbJeCRg/qWi3y9VUQFf5EOT/J P9MBl9PdX3CPlaM6uXcvH0kyQaDbdfPalyRweTtbIifWitJTBY7bPKTDxMTh U0IuT9Ccw4kre4ppKGz57Zp7XjTwsTKzJT+Oh17jJx+7lJnoNaLbzq7sAoXH CqElDg9B7EuR4NkAOioTR54b/CjQOKw1ycbJRMFKUsrmYV3Q671jR8j5LHib Xz381PIN0lEkdfs9YCHFjPb325qaoKGTU/Wo6FNUvvSmFwc/C91U+clR0NcK L7S+3+47G4ns/HqvPnNhIKR14ZHYPAleHMsbW693D5nEpg7r5g4jKx/NG07L yaDLFvhG0bkFnjUmmZ65no/6u0vkUjexICOv9uy4XCtS6m0XVOP+iK4tKQhe M8ME6YDwdNTRhjzfDInw85ajbyoZm0avM+GCU9H345o98DEsTPw2pRL5X1aK jRIZBe/S1o8qx3uRtO+kSa53LTL5ox/82XcEWrgVHoQsI3zY3bxHx7YF5R8R qXIvHga+3I8MCWL+/us7tw4t6UDrNn0wS5kmQ3SSpe22FhryXvpTaY9zD/KT Wsxce5QEinoTD3vNmChhqoPx/VsLUini/FDoW0f4p9S3CpEilLT4XafIrTEk 3V7stnxLKUxJXOOlLIlHuyc53qrlj6L23QYVLWt64Pyehpzqn6Go0nMP4wIf HWn/4PozKUqFrDMxVK3EZqTjFNsyq1WM2ocmjDers0A01KRzb3IulJ/YX7z2 1BjaYCCZfOJkBWhn9EiZZ4UCf2Sux2aJUWTE8+z0zeA+WCvZc3Fs413Y6aXR 5n1kCLX9LD5pSKZCh0/cy/DyHOg60W0wWjSGHuaIv2+HfCg/2Hr815VQiBfi eCG8ifBVXvnZnVZd8PkUI4C06S6YPfm5z9SXjsZqzU9VBlL+786t7ZAsvdw3 hqb87NMXybwHxdkLu+PXN8PVyx5G9uP5iFW/PGDpCRYckzu7ikpuBZ+EeUFy WAkSfpjGp4+YIHJTMVuZ0ooMle9f5CWezyvK+gLx/MhVsmmOdDPyIzmmX9lS gBSCEUnyOAukAusvsYQ70a8A7lNGbpVIZvCCml3nKIz06qln3++EDneTCMrB L0jvu2p5Wu4ohL3baHXAtg+Mz6vlJJ1qRCYc4WkK1QzQlpv12GjXh+yifUti HRpR3UZ+gdXEc1RTEFbzqxO1Hexy3KNchfbLVBg2BY9Cl2FaqeAcCSVN14pu +NaBmE6a4pxHh6Dpxj3vnmODICygnly5ogut0WKsTf9Igyt5BYVZ7lQIqHvQ 0TVERu8sDlW8q+0E8XrfkNA7VHSFc+WKOjIZWX+4obCPeF7qR9r14v0g4ttk 77J+fzdiul3/2EVw75lDX9QuclLQR5mjMTcRFfHdf3jw7N0O+NRz4nDcklj0 4/eK9nccY8h6QviGo3k9MNTvRxLzReTbSw/g+Sa+cE3D8y3K611WXhWD4qSj S5b1s9AuJf7RwaIGmL0i8Txi2QOEfFW50xVH0J5QTuXh/gEIf21jRegB6V2V isF6mGHtmsR68Dp5c5Ta5Y+cJlRc9n9joKitglWXdIl71l5C88HBW0i13nTq szwNtWomPpxeOfS/+kEL9ZNbW/Z4/8qXcJL7wvRUHwt9E7+8eYSo5993wcLv omrMCPQJPoApfQsTXeL/GqmIiF4h/u+unV5PifrhhEfwUlx/LFVTEdfvtKvD oLvhDihlHxPQlaGhInTmyhoxgjPfHlAl6oQEDpN5XGfW9sF7uM6T6g5l2k8/ g9r88Zn4jwPwLczu5KNCBjAU+E42ddSD4c5LqtaUPvi2qbx5sI8B3hoR2nfW pQDDeMWhlEYSpFnKHbv2gAG2HCdU+Ka6kT9PVs+uwAHIbvmtLfFoCJx/7P9q q01GG+3NtzfOdgLbgS0u+zhooOx+1zzVnIbkj64wfCraBFyqPgo6K6ig0bQ4 ZPWBZhB7e7/465ke2CM1F7abfQRWSC+reO3TCZ1jpapu9GaIuHhJ3Of5CGg6 ZF40+D6E7jAdui9pVMAjr8v9HzwoYKn6S5Mtjo6iPbuW+jBL0XDyU52VA2RQ HeYp9lnRDSS1dWrC9mVQ/tLAwSRiFIy61G3tm8lIpy11r7FkLxrUHHc4foMC JQ1Biz3vd4FTM0/Y/LMC0O08N17IIpjVVQlV7uyElZke8z9UUiClkPI9/iQT GkStL7w8QUK3pDg57zIHEPV5dNv7AQpw3jLiL3TuRlccDmabHSKjD3uk617d p4Lij5xLn6ltoMBccbLubSi6/8N+/cEBJtgJGqtwdTSg8MNIokubiqbrDxWr ONAgv9cr1ai5BZT2pkRKR2agDZSEih+KLKgYlxBWHEJIV7q5wWeGilZFemf/ pP/f+2jh+0lmExLE+9DoXVGN33drkc7H7/+rB/1/6oGF9RxzYBQTfUD8i3Jd xok+2G8J+9uHf98LC7/3Xz/Rwn6Ohkt9JOaCGBkrD+O5tPKa2eO5/OsnLOzn ONnFmpgXpD5f74DnpaE3fwLPK1et+TGhH3Tm97tsrB+HG/fCsX7+6Rkt1PPq kmOXCP3Am6P3KrF+9hlzDGD91ETcOEzoE/iDkTnWp7CbvzzWp+VQ8WdiX1CI 1d1feF8GDY3s8L6Y/irXI/YC+WZu24f3Iv1jiQ3eC5IxlxqxF7BX2b4D7wVh 27r/2QtYuBczb5KChOSroFZMLLLfegBWflYsOl3BAOG0wpA744XQuUvsehvR D8NT6hp6SQzQbIgR70h/Cot4r3+dmyABe/61yOybRD16hSZV2gNIsf/Sygvp ffCOn87qpdKALWvXYH10GwTc+eW+f6ADxB/xObTuHIHzz8bT0Z9G6CsvzjN1 6YXNFoH1UT8YUCsd6mEr1g3tT6dZUWo1QKuY326iMAqHyvM/RX/shFF3dv+j LRmgfH5EvFOdCeMqO9xWUbpgdWNSnQz9Exyf9ON+UUDkVI921bhEB7TPFhSF XnwI4AYyT14xQdCzvZ20rxVNZERI0l9Q0Kz0QzteHhqQYo+tbnVsg8SqoMYf PTHowaRWTu0EE/yWlLe7HC1BGk8idl/8RkV3d56oPkmmQaRWmfTq6RZk+qZ0 PssiHYWK58mobmHBPvGVtS9s6iCMdViqyouKpMRHm5X9afBuYNz38Ug7urZT V83H5A7oiyWR+NOY0EHdeEZlaxvY6AjJG7hS0Jn7x8f9pqhwokygsJA0CBGv JX/ySPaj+xaMSzdjKfCDveCEMHsfJJ87mnc7chCdnL6ffMuACnY875eIHqDB q0uSot2qbYjkXCZjJUaB0I05rwJPDsEKDc3k7ZM1sLfruIdJHgW4E5xlhGh0 4NCRH9ulFQtLJo5KHhSkgOSDQCu6YT5SGD/QynIl5htek1YVx4DXbLMRTbmd oH4t4mrzIhLsVOqIa+4egtsd408s8gZAfz9Vb0akD6YfdilfKadBrmjDDt7T FHDMNTrvF9QO09PvfH69psKGwYLFqTJ0ZFUa8sOvuxpFmX/N56WQQU9yr5xe GB2Jt4+NqXKWo2MbLp9l9ZMhM5ERcjimEz1U/7BMNqUZeG9d8+mOHYH/AbMb QcY= "]], GraphicsComplex3DBox[CompressedData[" 1:eJxlmXk81Nv/x4UwCDGDYcYy0aLlVlKJ60y5hFtuom7ZKilkl4SLUZSSJN+i VWXJkpaLJNQ5TZEiy5BkWpAiZG+xxHcev+bzmcfvfP3j8Xg+zuPMOa/367zf 73M+um7+m/eIi4mJWc8QE5MQ/GeX+2RXLEsHzks8LPVyB6A7HS3cnkVDRxRn 6R+RegV0324snJ4egOZbrY85+tLQu9OtDbNefyTHx11SfeFBpaGt432Ml8kf 4N7gO+eLfXuhe0uJUkQzDSUvCeGW+PNI7lJvLtk7UxURv0vwO/qSf1KlVVG6 i90ig8lmkv8ukes2gy/6XYJ/vd9g5v0PDYWsqbSU0BgkuXLh5kuaLVQ0ufBK Jmf9V5K7rr1RYs9XQat3zrfZrTcKjZosDvk6fYLWRil7Nq6iod1v01pefPkC 8+RUon35n6BMBnOq46loXwR3tHR90mesSu6L4J42F+6OBon2RfBHg+d0bMNE +yK4wdsdCRs3q5L7Ijij0OBAyXfRvggu6+N0R8GBRu6L4G06q4+9W0tFh5mh 4pPB4yTX/aw0oXdbGcko2u0MTZ8GxH6zM3vve40qkTr0px/Yq2fdASPme+ob u4l0IHjdgdsGmlqqpA4E7/h+55RKrkgHgm+oGuM9+SzSgeBtqZ8l5oyKdCA4 NyrLx7lRpAPBZyecufnhkCqpA8FHXzcfuvBRpAPB2fzOedpPRDoQ/CRHju7R JtKB4CYbN6ygPFZCD+1m5Ly3G4N7/s8nfBg7s3ZMuppK6kPwo5a7TeMTRPoQ fL3ekGYCR6QPwTP9Z4zFzlMj9SF4t5nRYMs+NVIfgl//eHu20kE1Uh+CK+dH 3o13USP1IbhfzzmnKboaqQ/BXVUjG/YmqZL6ENyxRNHOPoBG6kPwUZdvH1m6 KqQ+BN/8uDPmopsSWi9G2zHuIc4m+DA3pWhv/ixSt1968uDWCR0D2zoq5ise tD/8fd+bHNxXPGhZVnITjeK+4kHPyV5J6VI1zFc8ePjkifGvX9UwX/Hgy7ZN O8bE1DFf8eDOwliN2AE1zFc8+HM4TpL/UA3zFQ9qJNc+t9mqhvmKBxPcFSYi nFQxX/Gg+rs289dHVTBf8eDbwf3jXG9FUjeCRw6oG6X4yKM1/LTHW+dNQUZj 9oSV8iMYevKfxh4LKqYnF749HNaytgLXkwsTQj1qLmfhenLhppN+5ZMX1DA9 ufDTx6O7vd3VMT25UGHlQB7nuDqmp2Ae+9OOtCRcTy5MOXHa0zhOHdOTC8+s sH2R56uO6cmFa1dbX7y6Qh3Tkwt3LnF12C9Y5//XkwuTBsp7sgKpmJ5c+E2t +kHdD3lMTy7sGGRV1rbJIumKD313eZJsQk+zv/SRvoEschPqIyb8U1v8h8OE Lp3U5xe9ulpdyAl9cE7og3NCH5wT+uCc0Afn40J9cB4t1OcR06RspUWDCcEx /4CSGvmXclNM3D/A/pVCfVEUE/cPyGzXebMtjYH7B7TV0PvGcjRw/wCb4BkW J97Tcf8Alt75nyGldNw/oE3q+8b2QjruH3Ch9ht4UE7H/QMu6a/h/9lMx/0D BnTBrK2KGrh/QP1CA4eYXA3cP+DqvuoHm3hM3D9Aw6PB/ekHXdw/oC2gLP2p Fwv3D7B6vaYzMJWF5zfQ6uoRlROM68kDb18l/a5xEdeTB3rS6saN/tLE8xuo crmUMXBcA89v4FbN5E0xWw08vwGnsFXWP9dp4PkN1F+XSAxy0MDzGzD0EMvU PKKB5zegWnX/7Y0vuJ48kPk17GZYtyae34B6RLY784EWnt9A+9Lss7LrcT15 wHjoZ+VLKRZeT0G+Q+mt/lAmXk9Bnoq+j889Bl5PwWej1IR9TzTxegoSeo7e DmRo4vUUWGnalzBfa+D1FMQHt6R8qtHA6ynQuiU74v1JA6+ngOs/sOHHAk28 ngKeudyrU4WaeD0FzddC/85oZOD1FJhOnuY2srTxegr8q+2Sbw7q4PUUOEdo ZbcX6+L9GChaphPzoB33VQfY1dkSyddn4P0YsHV7pf7hgibej4HO04kvlzlq 4v0Y2MRNy2wU+BPrx4Afv8PkQoAm3o8B7dqRcWWuJt6PAdPof+c6uzLwfgwM RmVEv+Iw8X4MZLRGnDq1Wxvvx0C4lFZpCNLB+3PQpTe8LleeiffnYP69fXkq EQy8PwfNKgadFFkG3p+DKsX+4RkNmnh/Dvy9BuJynmvi/TmQipzPyB3SxPtz QM12MTTbwMD7czC3f9GPrgEG3p+DTcabdNTFtfD+HCgGHrzZcEYb78/BE0fb g5XZOvh9CtQcqksN92Xg9ynQePyPTDkzBn6fAtErYl06TBn4fQqMbH1v8dWT gd+ngMnVYq8TVQz8PgW0so3k+d5M/D4FeOpvB9I9tRB2fwQ17KqIy2mi3xXe H4HZvSBf72YGfn8EuQ8C+Ym/MZFFivuyUrmfQj8UwFuy8s9GNBTQp8dp6y8y ZrBJblSkl+wmi/JMT4RsL5QgefWZ7+9H6ijo8PMvzZe7J4T+LwBBX+PjKfVM NNFCDdMt+0byAq8t7DlLmehAl4lm1skhkhcG6VOaXmli/iyAHmsq5dyXymF5 rwBGxj2TEJspi+60qr6qHJIk+ZRlF3v9bQpWRwrAbQeFUt/jTJQgNfNc6J4p ktdHrZkIktHC8kAB+PRF0b6rkIHrA3wMZriZXdTF9QH52mrVW4+zcH3Ax/WW zlM3WQhmnmj8/d13cl+bHI4UlLXi/VgB3CJuEn3hAQ11bu+nO6EJIU+HlkEt s1Zoz0Z3sz6U9YaIsQlusY3vaN5HQaFa9T25syRIzrBfnNgX+z9xgQ/dfzK/ 7KeiTin3/knDn0KeDtxs7elXh5lIJ/EgNLs8TvLsq/RenaL/iSOMGlzu2ahC Q860E0nRUj/I8aGep+d0ezDRhUtpu7j+X0XzqL041Sf5P3GHkV1uV1g+qqh5 TsFyydfD5Hh+roapYSADvemtCLdD3WRcNi4Yicu4RsfycwFw6vjrWyVDA6nc qJCwXDdIzhNwKMMwt1MDXee1WtH/niL1tA/I83meJ4v5LR32OktFWyyRRaod 2xttuDNIPQeObzvQnk3BfJgOHWvMP4/+h4L4jpbilO2SJF9+rvrmM38Bj9xY nXpwilwPS7XO+NgsvL4XgKi0zXYdW1j4OoHEafp9q4Ms3P/AuNrOvuwqC18n uCTb/028hIWfC7DdSTZ2QTELXyeQX9/QLVPJwnWGH5ae1bFPVyf5rz45ieyT r7oX5Cr+3Uvuq2+sO6gqhE6eO+MATUs5xWiQEOZi0H9W1IdIt5l5zlCKBqUx m/3fCer4nKnU/vzzY/DK2GGTs0kcmLM2fC/zOhU9NSj1WOozCq1k3jAeJnIg /02k+ttdNPSfBF6d7qQk+6XuNZ5JezS84+QIbJZTkLij7OINPdPAqyxxj/td Dhh9RW/iVbMQygq06Dwhzg4X8sMP4w9xGlmoMeGRHeyfBAczZvMNU7xgyLxL eW0eFJSxelXz4u5pYL5reO1YRRS8Q5VYqPM3BanevpGAxsTYOjt/8ZCfL6qT LShIjSaj8TJenF0k5Dah+ylsY0Hc550ri0qSYA8JuTy3RKVhBQUp6Yv3rwmZ gqErz/jeusKBvC76ggRDKrqoVfvJZckkjGuY6+jfHQXi3+Vrrn7PRBsOOES2 pE/AaqP7Tk96ooCqTmedm6DfXnTJK15ZdgwqnKXrxAh0Y9dXbVQppqLUKEta l9h3uO7VMrHLvVEgbXHe2rYNTETJzdzodOAbjKnoXPhGwLeuUlxEN2aimljX +NQ3IzBxNi1tjkBntdKioPdRNBRDfxnl2zgEr/7rnk8diQImu3yCxFYx0Dxp n2c5AUOw5kJAbWCfF9hTU3X6hyoDtUGbbH+7n0BbqNultND8riwKKmo5LR4C ZpA6nNluq5C+joLC7KKWrWiWYF8X8kcRo80fDCno3CLphQrhUzC/9GDOucpo YEplGF1X0sLnB4Ez53odEvgcmx8Uptyp39zAwucH3bPiXMVfstAfwnze0uHw Y9UYB2yQs3ms9S+LzOcEDzy9MjGjXpTPCX7BW/7MvSYW4mjFu8j0TYJ4mP9B zC/ehKdryIl4zUI76HtamyKn4OQa8G26KQYObZjtyBLEl8jDMa5rC240caBx JruL5S3iTVt2W3QoRIPJv9gKDS1MtHNuKSNG4JOdpZmlb7M44EfYKCNAoINt DmdGVuoYNOOu0ZEWxJHKKTDIvSy6h45VOuo1neDA0tcvHondopJ5+/y0Ob+i kQOdu86PfRKjkTzvt6rlWwTntMR7zkWKORNxFl6R05AfgzdNh6/oCeavWF58 bF4iEyl7zj+wYN8o3O/ETRntiwJrHSyNqgV9MnGuqdIV9JbjHFjUUn5PPIBG 5vkrd7TTGTUcSL9TkXl0virJP+b5tS9QiQbl/f8Yb9RkoGWLkzovvBuBDOv5 Kwe/RIEfidetL1cw0D/BB9aP+A7Bh620cDkDKRAcZt3kLxjv/XFfD9dZ0OcL /daVXLV8yJWCxxf+FtdtHvSYQubbmm19n5PucGDi5/kHDzpTUHivbqa2hThb z+3XPOpVZ1iVayi4H+BFv5XqOyxE+Z+Yp2eOhF2RYHyQasZKl3FJ9vXkY7r1 PA5UVZilYLWMgvsHjs98L6ZoREHSwvUQvqo8d+Rb2XMWvi/gKpMsDZ6L8j8x Pn3mFJUtyGPY+oHyRFq1tYAn1+o/jZ2SZEtGyNBrZx4GEeGtlgsE/sfWCZI/ o025Ak70vcPvOyWSO/vghaySdxfv01DdrdPFn199Jr8jBKy/56OaJvq+EARr rPRy+6F3S5/ncih6Pyc46zsykDop+i5AzJ+eGlMeg1TQ6qOBQ5R9P8jvBeVG 9PIb8ipkfd/7nvZoGvTAc/f0XqecpKF65UXb9qWNkO//mxdNxC1eK3pfPZPZ sYS/sgeW59V+GEhSRlcfOfhxGNPk+7yydXjLpbmz0fBfU1vKp76T7+fHlCq8 pT9R0U6OSrHnQ6KedsDMR6CC66pInq8VvWxLfkgblNwXGH/2ERXJ5/iNp02P i96xV+gFmV6hkvEixp+4Nks9Dyggvxt/yrSaSZDvuoYeC+I+/DYLxRY5pchM TJLvrtpt48aRvlSUt2xdc6KpJPmeWe980M03VQ5tW/Dh+QSD6Cu4sOjfEqsW KypS7TsScOyFJPleN2KXrx31hyw+HkTk1O3QmmDi48El9e01/CQWvh4wO/yk X1gzE18P6NxyfULblIXrAPL13VeWZjLx/YINjWFB4s26uJ5g0aCq1q7DTDwu IMf6semACxPXExQ9YdcqJevi8QK3TEfTbWx0cf+Ac+m763YUM3A/A6TcYNKW xcD9A4Jv338iVaiN+xME6/n32azSxs8LSCmqe+YYz8DPBag4dBE8iWXg5wIo 7H4aOVjMxM8FSORK9gXFaCHmcvbJnTUfYZfFMls9rz4oM/tB9psCGpKt8Va/ 4fQWXgtZPpff/AUu8Rn1dRHcF5p2dK46Y18Np87ubbUa7ofd3eMxKwXnV/nn 8kVqu4dB165pP9+JL3Be7cqdRoupSLGdxro1fwgmrvP7x7e6G8ZurgqduZ+G XjyWGh3a3gcDw56F+Jb1QM/gW8dvptDQWV4/x2DrN8h7Xb9Lz7gTWiXt3+M6 m4bSvxjszPIbh+5qBeLJ7m/h6O9LbFzzqWj4j7t3h+J+wLHsRHN+Sju07fpH ypBPRYz7Ub+/kZ+E7tlhHF/NV7CvKj+u4QgVPVD78+KSVgm2+3nlAavNzbDE oLV1m508umRu7Ny28SfMoWYXFS+uh7YzO3hH3ajoeXvsR69KSfYRXQMzfvNj KPt1R1a/hyxC1PaihwpTUMhBZVmnOe8HE60aW3p/fI8kWzgPMEjSz8v4m4Vy on11rFYK1vPrd0Ehf7Vh42Mm+l7YmBtaIVjPr3WCwf4hh42KLNQ+1r9HQkKc LdwXWLc1gV3nrouMaxeYuHwTZwt1ADUTutuDkS4qQnLV2j1ibKFuwGPsvFba hA4qVlqkpHBjDAh1BsF0uR1bwrXR+1Nmqx9fnwTCuADLu5NBBjo6SNJ4wTaZ M3wojCO4aRyzli/wW+oBmzWKDV+AMO7gfbiXxWAqEzVdM38z3TQMhD4BbxbX 9W5gCvqop1XOFu7fgNBX4GFN3PHy+1poSUV9LmtwGthdK1ztpPUJ+v7MS6jn K6H+rE7rK8bTwM08+Jk29xMs+jhKW0KdjbS+lxnGl41AIQdHJXSlA6SZ6L+3 XLM2 "], { {RGBColor[1, 0.3, 0], Opacity[0.66], EdgeForm[None], Specularity[ RGBColor[1, 1, 0], 20], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxNl3m41lURx89RXFAoAUUTZd+uLLIqLlcRhAwV8ioaCEpERKCCa4sIuJX7 bloK3FLEqwLmhmwqkREuqUUpmprmkomVRrln83nO5/e8/PF95j3bzPfMzJn5 vZ0mz2w4bZuU0v05pW1D7hCIn4m5XQLbO7ejc+z5UqBZYLtAq63Wv+wcZ1o7 1zywp2dY3yPQItAy8BUla3tpD31tPLdToJ3nWNvbdXT3DnQIdAx0Deyu7g6e 3zXQJdDWtW6uY7O7El49lNjpFWivjjo5YfOywJzA3EBP9+7l3tba28e9zI0J DAsMD+wb6BToHBgR2C+wf2CwttE3wDvAcaCyu3t7ymWQcz08X6fNQ7TRL3CA d8A39YG+rg0N9NfOEM+x71DPsXaY6wOd66z/RmpviPcZJPfDlXD8quvYP0J5 YOAh+Y0KjNYGfjlK2xWvLt5/vfNHum+g9o52L+e/Lg/sH6PEr98LfDcwPXBf YFFgYeAXgVvleFtgvhwfDCwONAZuDywIfC2wMrAi8PPAifImnt+QF9zHy2m0 9tg3IfCwe05wPEa+E5XwPUnZEPh1YF2gKfCbwOOBu9T5fe/0rcBxgbGBXwXW Bu4MTHHu+MBUbcLx284xHidfuH7H9XH6aby8pznHeIa84XuKEr6nKk8OnKac FJgVmCzH05XwOkMJlzOVcDxLCZezldg/RwmvH2r7VH0wXV4/ULJ2rutwIc/I 9z6B2YGZ8vqRZ9A3R37wmquE1zwlvM5XwusCJbwuVBKLi5TwuliJjXsCd6fy Vi6Rx3mBS5VzlLPkUd2H85fLCS5XygP712qDe1zlHFyuVsLlOu1h5xrnOHO9 c9Stmz3PuRu1d0XgJu2x9rPADa7f4Dn2/VRdzN3i+k9SrXZTT6n31GdqOP2B mk8/oE80d0w/2MV9rLVyzFprxy3UR62m7lO/22jvCrk2d44zWV3o3tlzbd07 Tz/CaU+5Yo+a3U57eztGV3vH6O7gGPsdHaOXGtVZO10dw7eb46qvdFMXNbZO e9TwHtqrc4yNXu5rJteW2uvtGnupvdRYegi1vK88+jmGR3/H8BjguOolA+Q1 yDE8Bjvuqe7Bxqad/oLTEG3D4wDH+KOP/Kre2d3xge6DEzW/XhvU6mFyGppK fYfTYY6rXjJcfsNcg9cI1+gLo9Rb9Ziq5yB5d9Rd6tsJ8h7peewd5Tr2jnaM jdGOsU19HpNqfYXx3f5Gz5JU3vmtchzj+aWp9Bj6yh2p9JxjA8tS6TcLtDdO fvSlxlRqOn2GnkG9phfRc8bKabxnsHGi46r+UvvoAdTkBrlMcF/VbxjTK5o8 R5+ht0zSNrV6spyow1PlQa2ekmq9aqKcpngGHtTpafp6qmfIS2J+sLynqbef MThEe9TAmanWY2akWo85JdV6yaxU6yWnp1ovOUP71OFzUq2XnOX9p7te9Zsz 9cUM16p+w5mPUvlGGaVtegV1+WVjsVwe1O7Z8qhqedVL5qRaL5mbanX/klTr K/NSrZdcoA3q+sWev8wzsz3341TrQ+er93L3UYup19Rmah318Ub3Xekc565y XPUMxvSHaxxj+1rH2KbOX7eVjeu1WfWEqv9dqN6btI3emx3P0z7nyCVymxyp +uVF6rvFO/BmeDu84dWBVY7H6n90PBJYk8pbIm8bXUcu9vdjgV+m8v7Io3ON JW9xkecWqIPawXvgXUxKJffudA4evG9qB/lKbpDT1AHefoPr97jnCO/AuWPc 1+D6En/fIbeF6ro/lTcCrwe8x4ep5Nxy77Tc+28I/FY/jlT/CNdW6J8N/iaH /xD4fSo1aZm+u02frpL7Un3NHN+9j27lmzXeB3+s1Sfr5YB+6gffqN90jjXq Kt+ufwu8qV/X6duH3XekcoN6Vvib9X8FNumX/wT+rN/x3yeB5+T8ufd7N/Cn wL3ekQ+BP6byPf9+4KVUvv83B15IpfasN5582/838Eoq395vB95I5bv6rcBf jcs/Ak8Yi38Hngx8HHhVP+KfdzzDfXNweCbkZ4G/6Mdn1N+k37aNPc+G/CLw mn5/Vr+x3uBd0XuQd/x7Knfb6F258z8DT4l3ncNn9frtvcDzqeTcS/J/0PHr rr/gHe/T71sCT6eSl5u08bSxYf2DwIuplq8v6usH9NMHxnSl8a2X0xY5fWRs F8pts/tecY18ftnY9Aw/jcylppCD2+Ti3wX6jXgvNyYfGjP2EENyc/v4vV1g aC71jTrbNn7vn8u3y6CQbXL5nhqYy7djW+NDHMjduvjdPZd6+D/j+Yixne94 o3PL9Ne9+o/zzXLR1w/9uXzP9g/ZMpfvXOZaOE8e/M682GxMFppTTfrgTe/F O3tD/eQv75j3/mkqb5v8/MTYLlLXGu9Abq5yL7mMb4blUv/JQXTf5fkl6sPX 3A/f8/6Wev/3zalGY7bSGPIeiAPvg7xb7L53nCPHeRNwb/Le3J861D5s1efy ffOaNh811xrNtU36mJzsEHsPzuVbYotz5B3v5iDj8by+JPdb5RJvYv2E+haZ R1XdHZ5L7In7oSG75NJLPtV3q/VZD/1GD94nl15JzvY2b3fNJc/IscNz6Xf0 yhHxu1cuvXK++YRfX5fjY4HdY32/XL6nOubCAw6dcrnzTGO+2njwrdA5l28H 8mKd/uVNrDUeXX0PvIXdcnkPvAX+o+2Uy/+qvshc/s+9avy5c5+Y2yGX/yi8 11HGe99c/oPx/+s5Y0ve8CY2mnPk7OPm1o656ELP/wEilzqS "]], Polygon3DBox[CompressedData[" 1:eJwtkUsvQ1EUhc8Wj6ItpVWPEi1FPOqRePWWRBDtFD+A/oB2jjFmhAQj5kZ+ om9ln8GXvc6996y7197ldvey0xNCqEIvrFsI5/CJ/oIBdA364vtB9Cb0B3+2 h85DGV2DYdjmnKZmqQnMQYfzDYyjd6ES/M4s+opap7ap+9RJqKM3oAF/kMCU uccv3EKJ8wWMwTznQnCvH7iGGZ6fwIp5lhc4Ri/CI/oOKuoduugHOJIX3Afv uQXf0IRp8z4OzPtSP0OwparZwBK6Cs/oN1gw/6f+JU9lz8FE8BnIq2g+O3kq Rx5GzfMoZxJzl2LWgvls9G0aPWJ+Rz0U4w6ycQc71JT57jKwij417+0d1tBn 8BF855q9Mh/GHShLC56CZ8qYe8pL/g3zHWp3muFynLlm/Qr/lgYkPw== "]], Polygon3DBox[{{271, 328, 21, 272, 20}, {98, 314, 83, 283, 84}, { 313, 73, 282, 72, 58}}]}]}, {}, {}, {}, {}}, VertexNormals->CompressedData[" 1:eJx1l3k0le33xkXIkJIhSRIKSRNp1EapiEgokrlSkpQ0EOEt0aCkUipDJUnI kLltOAkJmY/5OIPj4FASSvo9z7v6vd+WtfJPa909i33v/bmv69qLnDzMD/Ly 8PAYTuPh4SP+pRX6qp0QTsUUrcpOEf1ucFk02CWrxYGZ3nPzHcRLUem9ie4R q24YMFKo2f6kF4xrzwSuqahF+sdl1onDNLBd+ST4FYUNVtoNo4nvSqHEvfP7 eikaVN/j8/x+igPTqprPXuh8BSreT/1v3uiGXFUhewoPB3K+qrYEyCfilwqr UMdVdNhVN2cg5novhDhsuHz7GAV9a2fa3fSiw0G1efy2dDaslVya5LOsFrfN k9l0ZT0dmEJMl5LeHvj6IDuzg6cNv0h7tGzLowEzQ++89QsWrOi8tuJmCB0/ UFJP8Pxogc6wadWuXkxwjEp6/pmnBcp7LXUu59bCdM1Mhnh6Hwz0cBzSfjYA aEq55Ti1Q1JypSvvWg7cN9HNvbm7AjSy+6xVdLphMsrY5KtXL5SqRhkZGqXB hpCAB5736bCtVHpwyapeWORpH7rx6ROsXCO2PEiRAS4z+CYtmthwb/tD3iNQ jKov9CtjLjKgeJfOkK0yG2a/3nL56kAN6upsVL13nwF6v46zT35nAc956+nm hq2YcWe9tXgYHdrlK3muWzEhSrFuX7s6A5WPyzKCYjvgiMDgmAzx/2n1jruS d/aiF7N4cf2HUliisdHlYWE3yM7I4NOxZaO3w8Rgr1AZRhwwsTjaRgeRb5NX zFd3gEVXvLf8aA2EScpeT2QTcz9Vypeh2QJXnQv9nzR1wGcZ0wfbK9iw64OT uMu8jxD28nh5SzgdzjWYWh8GNoyrF53kVcwAVRU4o/+YAWZLlnOT9rJB0+6s M6yNQsPKLYY1YwzIuqOZEqvCBnl92/inP9+iWDN1Q6UHE6Lf0SrLT/TAI4fk Y/u4H3H6iruz9fuYYBi6r+KNJAuOJ1C+W1tQsaHouVFwKBP2Bp9fb/WT6Icl rWxsGQPh/Iyi4mQa7IuxKfD2pEGfh52k6Jw+FOPIHYqQKgNl71kpQ9xOos/T PLLW9GLeK/eotYc+4ZeUTGZQCg1U3397WPa2FcROFavFRKaCdfKLSJGSfmDK aNon1BF8z6a6TN9UASNBn8PjCnvhp9ARymmVTlhZMG/otFkXWFa7LUxJY4Fi 20aHYu5HKD7o/YNfhQlPV/8wHKxhwbs5lin899KhqttBcn04E/j827WdAnug RrKtfgXPLbw58+kKp5dMeF7SSrEO7YGZFQPCDc7ZOJ3vnpvlWhZ49QkeUqpn gatAyp4L7mX4SrTK9opsD2QKR7/V3sEEPdkWc/OcBvQt+rXw8e0e2G47Y6Hb m264HRgrZj+djrv4WOc/FjMgp8NI1tqNmOeTj6v9o/pRSXnJnpGPFaD6wiAh y4YKvgtCOZaavcibcCSys5KKZmf0P19raIcGG1dRPuEuNJyVfPSGOh2P7DIY 0f5Bh0fuijPdmG0goG+SfssnDIe2dqU7X+uHo8Nui+cnMMDodmL1i5FMiCl0 U5/cwQbl1xS+7t3dEK38rKX6OQ0aPvnFHnWlQ9+YenRRRgXwiItopI6zQNLs s+8YMGGf1ez3ao0psHJTcOFFJxas3R+v1PmeBZQNivId/oE4cfpJLP9qFiwX W972SrQH6q19Zt1oTsUTJUNHoj6yIH23yrchaxascQndWGJfhA02q2S/irEh Ydd046pnDLB28JLdq1aDL4ysq1tP9sJVRaqDzBMa1IpQjHuiOvGxFE/x+A02 OEuuSlmh1gIW/HKOAjcH0Dqkk1+6rAaEb/1wP0D9BJe11WZdZ7JQ0jy2uqmt G6s5nmuKJptgWNodH7U04zLRdUrGHSw8bRpbNetxN9RFGs8Ty6yH8JDtTeam r1GzxK0mVJMLskndPi83tgGNw97OfZCHpZXcvtDAfjjQZlTGmWDC5Kolm8Mc i1B/JOv050YWiApXMD5x6TD+4HyWXy0DPJzn9Ql+aIWRx7z7v74pBP2kw/6Y y4Znc/y/NXXSCZ085HRqZhyoOGn3mgyzwOloVcAxAxb4S97+pSXhgRX0TIfe Syw4KNP4UT6PBbe3rPMf1Y5F03c9N6er90CucZXBAlEWvNkR0K07Lw0/PR9/ K5fCBsVBo4ThTQwQdLtknuBchC02/S9MP3EgMbjNO4vdBWMnB/RH22pRyGya Ctr0Q93ogeXxzEZY0eelPXCiH6OSjod8e9oKO+vT8t8+KgGRx5w45Q8dKFel JnjNlYPa8s9E3vbXwu3HWoEdUR8wdfHJcxqVvRgSkB/nE0sD7tUrz3fmF6D2 0RjOQT4W8q/3PSQ6QOjn7x/lMIkBK9lBiDlelXZDpuq/8++rP403BvdCBdU4 ocKI/t/5Irm7c1tVemBngittsfT/fo+MjpuaexwLHi6L9Kt+/L9z0+MyPzON ekD8/Quuw2fmf+eBTUPmM3vY4K2zUCNRhvHf+W1/BZ/8PX2wIUB+2Cu+67/z E3YxE5ULuJDn+/a7elzDf+fT9sjcMRkcBJ6+TgkFq9T/5wf/wg9O5SfPTK2U 4Af35NTeI/lR2xFwiuQnbMyNQ/CD9vvPpJD89PUNfyH5wQMznAl+MNH20BmS nz1iQjzN/+MH/8IP/IUf+As/8Bd+YCo/e7axdxD8gNftq8okP51qMWtIfhTT 4rYQ/IBQw53dJD+tJeXvSH5OeUpXEvyAXFzy6FWCn6+JsxeS/Gwq++5C8AOL t74/T/LTF/fsCcmPIKx8Q/ADLUXXOkh+gihlniQ/IhYDpL7htTNj7kGEvm3K Tcj4Q9/wL/qGf9E3nKpv7+LWZBH6hkb2apWkvq1U3iVD6puoBkOS0Dfwc7r/ itS3CbHEGlLf/mlrn0voG9w/PGT3r75ZbJ/2mdC37SinSegb+BxWVyL1TXUh jz6pb6v2RqsS+gbUnU7FpL6BnukJUt9CriRbEfoGQcXR+aS+Fc44lEXqm4G3 gTOhb9BrpTsiRejb3GxDD1LfGJaF0oS+wVdBegmpb+f0D+mQ+rbsDvUNoW+w ZJCtQOqbq6JFPalvvPERjwk/RdX42K3RhJ+ey7J6QPppd4OSE+Gn+HjbUl7S T4s4K+/94ac41U85tnuPE36KGyIfcUk/PTc73+IPP8WpfvpJwKWS8FPQG3Ha RPqpafaiHNJPK22ok/XO2aBndfQM6ad0zxwb0k/FjL5uJ/wUKDsmD5F++mD8 UMYffgp/8VOY6qfXRpLVCT+FutgHDNJPF2/+FvuHn8JUP500c51F+Cnst9jm QvophZ93nPTT33kM/5LH8C95DKfmMS4v3ZXIY/ie4nOJzGPR5dD9Rx6DqXls nYLKPSKPwamMd9vJPKa7wLGIzGMT5VfsiDwGCwp3yZF57EYlG8k8ZmPnxm9j QQV3sxwg81jioW49Mo+JyoxUEXkMPl3hZJB5TDAlqpjMY3Eze6WJPAazaQGq ZB6rGBZLI/NYo7JqAJHHYNldv1VkHrvhyfg3j/3O5zg1n+ufX3mEyOdo+DFD j8znnj8STv6Rz3FqPv/adGwPkc9xc1JJKJnPJw9u+vFHPoe/5HOYms+vnDvh R+RzcBxIWUPmc7vy6vY/8jn8JZ/D1Hxu87NgJ5HPYcZ2l+NkPm9Q2eZE5nPY RBEm8jnkuN9/RObzfZMdu8l8/nufwr/sUzh1n5L1if9I7FNwRiP9AblPGRQ0 dJH7lGlhdxixTwEj7MAucp8aYbfP/mOfgr/sUzB1nxoOnbOG2Kdg7wpXE3Kf GhkVbyD3qYt7fqwk9kfIbV9YRe6Poxs0Bsj9sfzhgS454VK4UvYtwJvYH+uO 1uyOI/bHIp+YUGJ/hH2xmjvI/ZH/sEs4uT8W7VAZ7VOmo6rSvPiZ+wh/V6Gm D6sjrBXIGXUqpKB/nWK/QEw/sk6/uzia0AKvSw9K0eMy8O0NDpbvZeOVO0kv FB8yoFpnv+V6WiOqhkUtS6nLRyG9G0XViQPwedtghPmZLizRy7n483sFGtaE vk6N5MCRV5v/8WvvQ8+g3ZpP//mIx2LYW7dWtIKO3knBC9KfsPL562Pq9wfw rsSyqyZmnyCi/LV5vGs+xkYl8t54xsGfNz2kRvfTADZbXEw4kYImDb4dkQuI HKIjuMNSpAdojaHfo0RaUczdKtQrqgR1lCh9FXf6oa3qxk57Zh2qpLrb2r7J RMEE29kzdnJhW6OfoEcrA3/yC8vkStXiZK7Z+DnCV6Mtvef2K9NB/FbyNbI/ uiFebLI/JRqR850LKQBpm3rI/twsqr9B9sd4udRgd1wGzEgLopD9iUhtekr2 R/vhEf8g1iecO9Ye684YgH/SdB88dayEiOCotkKzHtzoJrVvIIMJVZwnitbb smHOG4HLYtoDuDaN/tSftwUlBXYsSpJ/CpMcObnu4Fys1Im+6dEzgPcqJxY5 f2iAwVfaYY/XJWCzhBifVEovnuvTzp8hSIduyqg5MRcofDIonUrMxcTp9Fty LnbNcbMMK+qxsPif6fHsPLSxu39JYjYXUvclDdssacalqsdthseKsX5bjeF9 3QGYUSEaTswReMcdWeQcL/ykJZFzrBHiKT2W1oYe97YGtrhVYLzAPZuD9X2w plYy5GwoDaVwlWVpby1y+OdxE4V6Yfyw1Dli7pDVXcP/jJh7mNj79eTcHWsm zpcosZBS1qlq39GCt6gvw7Uqu0Eh7tkDPloJ7lIeumO8sg8u5U1k+Cl0gUDt tiEuvQt1N+3XEdzcC3N4m+vMVephZ8O5XzvPDuKvsH3UoOTrUJG2emOUwnvI /inKLxhQjjMu3zyYXclFyfAX0wzD38MPgRWxbpFFeHP5hd1m17nYpivJz0+r gYL1JU6aaq+RWsaxl/rVhxVGudFVaR3gr/RT49ujJBS8ssBKvoODlOKss0pG NPh4F+J398fiscu3BOcb9qDNLccLxYR+Oyi584p71SHbHV+naWRjhFMK77Al Fy7EW8oTnEMB75fDJOd06sw7JOc816/JE3XCw6pEZ7LOPI+CmWSdF35IzCX4 h/G5B/hI/lOb6P/yz+umZk/UCceeZTmSdZ41NbxP1vnosJfkixMpcNVVppl8 F63R9ibkuwgwuitB1An502TnkHWuVHpxkqzT8rpiONFnSNpx7AHZZ5chyWSy z/+fhyv8mWVF3X0wqVtg+tKlE1q1gtfPdy9GEw2KnMFYP8g6V5kcuk2F1Tus 5mSvaMEJeX+rEeEK9Ml5p/baux8uswT49L934+xemY3L17fh2Hzpqic3mCAZ 6R6Rc7gZzmScfyQ4SMFxtVfR1xYMAF+r19KF0TToSJooUpNpwLjEObb2oWwI jjd3kTwVgcouBzw3v2Vh1kzfD/9cZEGJjbkD/VYcdJlGFLRoErqBbIeJ2S2w tnp5eJFzKGiW5Uu4XmVj9Dz0Vw5mQF2v7igP/wCGrlTQtLjdAuUBa9bcdEuD azkVvXesXuKWFbTW4BAurkxtylpVWwsmrfza++beQYrQuYu84lw8r/WVN7ej AR7pfvbtcI1Ex+D2kw9OcRB1j12TmaTBo/1vBhUN/kGzmMTerZm9aB2kc/bo TDosE7/+coV7PVyvjt99+EwOClGL1BJVuTA/u9J1WK0BN9GaJNYKFuCSGblh 8j8GoPb63RRsbsSgjB5pcVEKztBKVe0/MwAXj+Z/ttVpg6u3b8/zZbzHyydW xtyX7oew4oYCLdt2jLo0apYZUImWv7aFvbvcB8eElofcFOnCt2cs2rY41OPK vdLl59/2AjezgCNHzJ+yiLqsZ0YzHlbJNk/4Toc98VYOq+pZuF7468rN7m0Y pTB9YOE+GhwwGAltNx/AqtFmzueheizK48/Ou/wRRIQUhkql8zFx+iuqtM8g Kje99Z6pXgyjMqdFGTPiEEZ5k9bm9GPzJsPSevk2WLqwJqPiazh+8N/MOSbG xq1fBH6NzmVCvt1jpu6zOkzdE1s/ofsWnzFHTJeu40LRTTOq/vNMqDiw4+1C l0Hk7Fjw/IBdKUxXb1ewSAsH5cjMC0vl+rFA6MHBc2EdML+s9fjg4kB47b++ MWBvDx4feWu3k84EhUPOb+5SMoBxNtKwP38QZXcczmmCHGB70fO+eYZDV4DE YynVAbyvs3J0gzWh547Ui12qgdDb+GP77stsjOy2cXl//X97Zcgn2eITHcR9 bd1T+ZZkwUVTXa04xTqwtHxR6jScg3sNckKFDnAhe9r8+Ux6A4x+r/rWfbsI o27HztqGA/BkcHumJqMBUeGbtChxHqTKEwLE+anbEjYZSnW4Jl1P21M9F41Z 0t0LbLkw2ml3mitFxWO7/B6YeL/Hne9OajpS+yF/fEI3/RIVtklsPc8wLsN5 vjUlyZn9sCogQM/IoQM09Q0o8S6f8HJwctryCg6st072XuzYgefYBcUxzp9w Se6QxHzifKjM958P36io4Uo5slmzHAfKJExrw/rhoJf0e4mfNFyVzBRRHmpG kz7+efz7eqDwFc/Ftv3dMLh0W8L7WS1I4TYopBSwIL/hZX7aeSbUPTdubumh o6w4u+RVJRUKno5eD/dj4t6TByU+0uk4vTpObTtxvmNl1eZHWd3Y/3Kpp+KO Vry3JCmvhci9W/oXaB3nZ2DVfr64c8jE90v8d7oGNkNh24E9sTNi8Mv4rKZX vINoMyJ19pBFNXDWXYok5ot0XyEjcr7PHnklk/PNf9MuQil/jLFKD4tEOrm4 caV4f3d+DUx4ykXdEwlBvKwtmLKiDzeH82v2dnbB3Rf21gQPaHBS4V8efnA3 /svDRbtz/cyWK3h0ROvUjiEO3l8mUe6xlQZcJzmdEGMf1K7ePfZOg4UNOs9C v8/ugXcunKs01UA0j/j6Lz+DlRb/8rM0wv2Y4exoeO8hMT7WwcWrgWWr+4h6 RK4p3SHuBWb09EbyXtSKVz7kvRpaKeLtEiHg1MzZu5X4u8Kh+0Q8ib/7u36Y Wr/DqlExao0f0O0PymxdwkLRNS/c5GV64NvNzJHLxj7AebhbuJSoU+OS4zmy zjnZzC69O+/Ab77fcFxBF8iq1jpey+NAw5uzG2ubq2FT9rXlNowOkFKIbO7u 4MDa1jc1FxYlEJ19ZZ3wiQaqoiV7TodwwIH3gJbYWCteEU5r23i9C9Lrx/Xk rvXA5DPLKgc9OmrFjy36NEGFZLuvZ7bzsuAu6lgmWrAwepbznjtza8H54xf1 LbOY8O1pcuR8ozoYenmotupwGxxt0r6+aVofqAgEpr8IooIMp1nSm10HTz/X KwVF9cG4vMAJw8892FjyNN1jfSnwykd0ZV9ggFPhXOCJJfSFPtYdOFCMN0z9 t87uooN2r/DboFmtQFu7aK2UUwlQog2dze71g0nLOgenOjpuaUzUN13Qjt06 w862Zxlg7L1x0u9SC/ALKSlOPsgFVfD9lsfth/3OnLfvN1BBnC/z1LBWAjip 3/4cZzcANXNtjkUfoKGPAj9/4EAXMqMeNmZ1MYDfx0Q8z70VPZ2N08130TF7 s9LHJ5eYMDHeaP2O2QgJuh4aNUnheHah0hLjrgFwlDDVEmiuwbt7UK5Fj4nf q3e91XJmgdvBpAiTunqIb6tqVIpMxcezu8q/rOBC6bCc1IoexK1KdTVBP5go GxmQ/pXNgnmHv9whvscGkT0sReJ74ZjsD+T3EYJ5EcT30PzoagH5ffmpDSXk 99VlG2yIerBTMcuzkqjnlvWzf+tZsItqQdQDvNP7ZpL18N/bWkrW87sPOLUP P+KPyxH3haPqD5+R953e3tFA3netb8EPop94sldG8BfRz70GlGGynyIxjrnE XIh80BlPzkXAws2enIs51+YI0U8ofxkiSvZz407eOrKfdweSLYh5wVeHB0Hk vK4ZC+0j58XdwI4m+MG1NMHnJD/T1lncI/n5zTNO5fk3PzCVn998wlQ+f78X nPpe1lxobSXeBc7aaredfBdU+ekOf7wL+Mu7gKnvQnNWf7CkRjk0iZx+2mnT BZQiwcyDpRxYKB9n6DecB/pFg26NRD8iliToGcRzgEeKJtuccgf48ldX/hyh gfSSX/fTz3Eg0WDt3nK9LjTY6TDhltIBm4QFPrczWWCRmdhe/bARNnbpWuzo aoZP/s3HGjb0gUBlbSr++gTeZh6vd59qBxm/1pr7X4h9/7DhaQeZVjCp+DB0 f+0H0PHq0jJb3g8L2k1zHhZQwf7z0JV99angqX11PnUdwb/cbHtZRgs89nlX s4RdCLfnNYg+yu2HR8f904flmiFI/VVh+PFQ2KOdtDTiyQBI+Dc10bY34Ejq vQXsRwycUAp1FBVmwZc2fsmGQ41wp+tQ8XDbY9QZdsysHBmA4BmUplP7inB9 xL1Nx4eYGLjhQIUdnQVDNxPWzf9ej3cs9valW6agQIC8orY6Fx6KX45+ZP8R 8q7nrC+/yMQsZzPUvMICSQ3rs7f6mvBN04H9N8z8QKHjCEM8eQDan6Wf1VrW CL7F8xYaejHQR/fLj+AxJpRv+VaaR+uG70r7q4UXdKLBdObJczEMiMy8BFLT OiBSmFLnG9mNrtvPRPoYEpyPnZwz14gFUWc/dLZoN+JdXT11axkGzMEbT67b 9UDVzpjK1aMfgGlnf97sDQMKH95VlmSxwYmay7NRNwZOazgpGEswQDbO9il7 Zw5++Uxp5XrRgCf8xIvyWA7U6gXfrM2kgp/dXY86PhrUdE8+q2vtAfSdiLJ8 0wXTHRfr/ZDuAKsr+is9KSxQawrVEj3IgIe8L72CbxDO6GsR+O0FE96kqfAl LmGj64VImSutFbh5a2C2KIMOBgv01Qxus3Fe0+CgNj8F9yufcOV20mGvzPrw PY+puPT+TGWVhDoQ+lzn1xrTB/8HSUAscQ== "]], GraphicsComplex3DBox[CompressedData[" 1:eJxlmXk41Nsfx4Uw9svMGMxYJlqkPRW5zikRbpTSRkml7EQluhjFbbEltyiV SmRJ6qKS1NGUUlw0ltSkrCXJHtl/8/ya73ee51z/eJ7Xc57zPef9eZ/P53PO 6O7x27hPXExMzHqamJiE4D8s9s4oXZQKdsx3s9TL6kEVsCzkSgoT/qWkoP+X 1Fug22ibPzXVg75LAJ3L9Uz48ez7Nwrv2snxWY/9+XELWHDLaBezLqEV7T90 9+J9n2+o4lhV0lEfJkyYH8gt9OORvOb0mjQ5MyYkvkvw8KWRO1tMmTB1p72h wXg9yQe2fLL44S76LsFXXrvvEV3GhIEmLywlNHpJrpVhJM/3YsHxuVfTOGt/ kJzHaOxJddeCK1xm2+zVG0RGtRbHfJw+oy96/auz5Flwb2NKw7/fv6NsOdVw H/5nNPuBZ7ZqCJPcF8HrVQ3aKLKifRG8TKm7f9obTXJfBPfz6DmZ+VqT3BfB pUJnM7P6NMl9EZyasXOJ2TrRvgg+s9vw55ceJrkvgm8w3qDDENeCx1lB4uOH Rkmu5H/k9ptz2lBGyd4lKHUKEPt97mh35EWGDqlDd+rh/XrWLahgkU7E42Ym qQPBd7c1hPL1RToQ3G7PW0ZrsiapA8HbzsbVLXIU6UDwDdyUtJr1Ih0I7stv WZl8QKQDwbUrB0ZVuJqkDgQ3Df9n5g5nkQ4E7w27Ef6WwyJ1IPiN9yFnzuwV 6UDwo1JaRYElOvCJ/bTMT/YjaN//fcJHOQ5Fud1BLFIfgmer6nt7PxDpQ/Cv Rkkxns81SX0IHtN54o4/U6QPwa00NxWy3mmQ+hA86lBD4ucKDVIfgmvlyg54 fdYg9SE4169n3c85In0IzjOXe3smX5PUh+D114O23qhhkvoQ3HT8LLeGLdKH 4H7l9gm3e3XgWjHarlE3cUjwHSFaGc33dUndfunJQ++d3cIyD7EwX/FQ49v4 3zUu4b7ioc6UqlGj9ZqYr3iobOflGz2nNTBf8VBuxfhtMTsNzFc85BS83Hpi tQbmKx6qvikRF+CggfmKh5a4iaVp/qWB+YqH6GUPG29918B8xUNpP4JvB3do Yr7iIUZIhivrsRbmKx5qXphxXnatLqkbwY37Jl7USbGhCT/l2ZZZk4hZkzFm pfIUFVbI18lNsjA9uWjTW8XqgjBcTy5Ka9b5sC0F15OLmirUu0YyNTA9ucjm 0DSL6E/qmJ5cxNa7OBFYpI7pKZhHati2OV8d05OLkiuHwONidUxPLrqsb8L/ o14d05OLenSBwhYlXE8uqp5r4BCRpYHpyUXXPMsfb+CxMD25SMPtjevLVlxP wToPPEp96cGG0qWtXfd4kpDQ0+qdSZt/EhvuEeojJvxTm7fGYUxXndTnF722 giHkhD44J/TBOaEPzgl9cE7og/NRoT44Dxfq85S18tEyizcrCY75BwTF/lnT aUHF/QMajwc3rCql4v4BMUFuFVfSabh/wIZY3+LxZDXcP+Bz+4m9Xq4M3D9A cVlPNuc0A/cP2LDprCMtnoH7ByRGn3U3PsnA/QPOLbX7N9uHgfsHrFphfena UgbuH+Ay39nhoGCdmH9AfE9xZ7o/FfcPGFIrf1z1Ux73D2jpZb+obJLF/QPM 1uuX6BvI4vkNbBnTMbCrwvXkgU3Hhz0/ZOJ68oDlo8LbJYN0PL8B9/FvktJF anh+A8djo0d//FDD8xuoa9qwa0QM15MHXPIjNSJ71PD8Bib6T0ryn6jh+Q1o JFS+ttmihuc3EOOqOBbiRMfzG2B8bDJ/d0IVz2+gsffgKNdLCc9vILSHYZTo LY/XUxA5vXJEupyK11NwwnKvaVQMDa+nYK1en2YMh47XU5DmN20kcpYaXk9B h5lRb4OnGl5Pwc32O78pH1HD6ylQyQm9F7VTDa+nwLfzgtOkuhpeT4EzPfTN /ng6Xk+BY6GS/aYDNLyegsGdQ+1sXVW8noKNz9oiLu1Rxusp6OcmFuzPUcD7 MRAy213feA/uqxZQdfiOgaYW7qsW0DJ894xqFh3vx8C6shHe8690vB8DTUlf JWYI/In1Y4Ablu69o4aO92Pgt5hzt1uP0fF+DAy+qz+W3E7D+zEA+W2ztJ9T 8X4MxHLk1N2aVPB+DKy0XbeU8kwZ78+BtVHiPtvlNLw/BzI3WJMtL2l4fw4c LZ2fdxnT8f4cuNsk3xsMoOP9OXjae0HHLpiO9+fAoHFXjO1GOt6fA2a+weHC YRrenwNZb6e7ig40vD8HTTorTn1cRcX7c6D7VXlM744K3p+DjLRvDz0GlfH7 FHBtKFQOqafh9ymws9pc8tt0On6fAnf1Jf+gStPx+xT4XSJrzzQ+Db9PgR8P 35h5/UnD71NAJX/jZc0GKn6fAs6rbhVu4qtC7P4IXNVL5m4X1Bfiu8L7I+hP pa2M9qHh90dw8jL9XzcqDVokui4qkpsQ+iEPeRtM22N2SRd+fpay9hJzGiR4 jrZa+ZbTbJhtGh24PV+C5O1rLXdM3mbD46+/11/pGBP6Pw88cZ1gfT9IhWMN 1GDdR0MkD+td7F6jSoOHv6zUTI/tI3nolz1X2d50zJ95KCxlo33LZjaW9/KQ cbn9pkfX2PDue/rbF32SJN/uJBs55z4bqyN54Nj0o92niqgwRmr6haB9kyR3 4dvejliJ15c8YOMdtFkp/j/6gFxZ+VcDGoq4PiDXqEAvYY8srg8oPzf8aaCK AlFadM3vH4fJfTVNlxgy8cD7sTzE32o7e8cJJmzb3q3uVDIm5Knox8BW290J OvBeeuujb4FikODSW2NDO2+yYZBWdWeWggTJ7RsKF5aU/CcuKOBHVBSlmgXb pFy7x5dMCHkqqJQzOrPFngp14o4gsyujJD/90Pdx3Zn/xBHleWyGMxay4A5a dHy41E9yfGHfUKTiBypMvpyym+v3QzTP6kcMWfCfuKP8AH1K7VtNWD8jb7Hk u35y/Oa7Pt7PeDT44VvpUfuSDjIurQvP62xKZWD5OQ/UHVmRt2AWA6reKpWw XN1LzlPS0HbIdpcavMl7b6W+dZLUU+Ks+kOrI2zMb6mo8fzqQY9ENqS3bK+x 4U4j9bws2z0kXoj7MBWJmwyoTxazId/RUpyyXZLk8mvfdMi8EPBQ2/KkI5Pk ehTXPPT1XYb3S3nAzeSFnOtCOXydYNOBbO/X2bK4/0HoyVcSYtNl8XWCntPb DjdnUPBzASYtv8C1dyj4OsHiC+W3X/lRcJ2R7ZyBkzeuq5P8V58cT/bJ11zz spS2fiP3tcblqtH8fxnkuTM+oGkppxQO0poMwmRyRedLusnMfZpyOAisNzJm COr4jMmk7pyLI+jqyPGV5+M56BRDcfW7Kyz40qDIbaH3ILKS+cB8EsdBm0Nl 49VbmPDvGF6V7rgkrNO9zlvZHI4ME32eu9exobij7Lx1nVPA41HcPtd7HBDn kCWWuo0CS9L9LdqixeFRId9W1G7TY0yBNTFP7VH3ODhy4zf+kkQPZDLjyhyJ Mja8sWJ5/byOKWC+u3/VSGkY6nKLsF5SIfDDnVsxJSNiUMflFy+6veF6YjUb qtFkNOqixGGBkEut/2J/q0YQ91kXHoXFS8A+IT8/vlnpZS0bKuuLd5sETqKg Zed8cq9ykHOAL8dTWQte0qr8vHP+ODr5ZqajX0cYuPknP+aJKxWuO+wQ2pA6 hsqNHjo97wwDGiZpDX8L+m3Dyx5RKrIjSPG8uk6EQLfe08ixNZYFk8IsaV/E htHqt4vErnwLAwmGH/fTh6mQkpVm63R4CEWUts39IODv2cEhjbI0WBHpHJX0 YQDF/UZLmSHQWf1ajZFaKRNGqNeF+dT0oWv/uOZQB8LAj5+ay4bk6XCWtPer zAN9qCL5QKV/lwcoj0X0SUM6bEI2GX72E0BbqJv/9JkexwTnpaDhrHggmEbq kJ94t3rjGzYMtg9btLReAt4U8g6Fk87igjheMJSeq3h0EuUUHcm88CIcDFp4 H9ywhIrPDy6nBOV8Safg84Nz2+0UU1dT8PnB05DB+tYlFLhGmM8bWhx+Lh/h gAUnO8wDnlHIfE7wS77LGLssKGQ+J/jo9E9iSkYUyNGK2inTNQ6iUE6rmG+U 8J5IgbvU972vDZ1E4yZgaKo2AgGFI3a1gvgSeTjCeVXerVoOGr639mlNA4vk tZv3WrQohoOlslbJ+l5U6DKziBkh8IlLUVpRYzoHrGj6O/qEQAe7TM609KQR ZMY10ZEWxJHJrwu1vSm6h468cNSrjeagwPCizz/Os8i8fXHKnF9aw0G1Ad25 SuYinr2gbPFmwTkN6nZV+C5Gg5y5V+U05EfQbdP+q3qC+b1m8bSr7lGhivvs w3M8B9FBJ27iYFcY6Jm++uBcQZ9MnGuqdKl6w2kOCjlW3jtQwyTz/NW72qnM Cg5Sy+ZKHNAU8fZs3+Y5quHgkJe8X9ZsOlw0L74t+eMAYlrPXtb7PQysKG92 3h5Gg38eOrx2wKcPPXlPOypnIAWKm8xqTwjGe7V7dnJ3CPp8od+cZRKkwWs2 Hl+0Ts7mmdY/ojxfsa3ra/xdDiroDw5sFIw/+k03TdtCHOrt+TWPylhKubXg /GJ+QP5nl8XdqBblf2IeLVcJaCcYH0C/sWznqCS8mXBKt5rHQQlfSzZk1bFx /6BkL/lzDwR5QFq4HsJXlvajgRM7KPi+wJeEssV9zhTyu8T4d1cYE10mFHz9 gFF2jv1CwBMq9V9GTkpCyRAZ9crpx4H365tGVgL/Y+sEdEUFRatFFLLv7f/U JpHQ1oUSC6peOUYxYVXu2ftf334lf0coUXmzsild9A4fgCqs9LK6UemxS+B5 pOj9nOCKe1+G9t4X/S5AzB/HlewKiNCCK07491E8f5K/FxzS8+uyWa5N1vf9 n2hPp0AnupC6t2rXfSasVjHc5pkyQL7/f5wXq/NKXPT+fC6tZT5/WSc6dOfh c6l8bXjtqYMvhzlFvs+fkZHuyInTgf3rJzcXTw6T7+eZ1s9Me3ayoAtH9b77 E6KetqBc08FUGxvRu+vSb9CSH9iEDHvpWruPs6B8pu9oytSo6B1b33VZURqL jBcxvuA5rFRO0IW+t/6QeW8mQb7rrqsJDhCv14WRBU6JMmPj5Lvrb0djfYPr WTB70er6OFNJ8j2zbfPNMW1TNtw2p/X1GJPoK7goJLNql9YYC9K7/jpw6l9J 8r3uMmN7BT/+P+NBwT+FVg1WVHw8GLDP0Q5bI4uvB2g3jRqH+lDx9YDqHUf2 +CTJ4TqAyKV6AaZXqfh+wRK3OSdbFyjgegJJT/+o80+peFzAKeVSL+nPVFxP EH1dgZENFPF4gbSnoJTrrIT7B1x4oPcuMZaG+xkcWPvAm55Cw/0DirMrW3vi VXB/gmIj9eJb8qr4eQHJ6YUfLz2k4ecCeDV0uS9GNPxcAPZwiYFULBU/FyA1 KaI4okQVshbDWJeKdvTFYpGdnkcXmm1dLqZxlgllK7wYt5wa0fXAxTP59d+R ePffJhcF94XaXW3Lz20qR5Pn97+36u9GVv6xeiWC86sysdhQbW8/+LJ7ytdn 7DuixNhbPaVrQaVmGjt3dh+KW+37p095B8qRLlnQV82E/z6TGuzb3oX8g18F +jzqRGXt77SsbzPheV43x2DLEOK9q96tZ9yGOl5RzS8sZsHU7wYu6b6jyFUt TzzBtRGZMh2dLySxYP+ae/f6Tv5EIxlx5vzEZtQSIJ/6zJ0FmQ/Dfv8gP45c M4I5Pppv0ZqzfB39Jyz4WO2PS/PfS0DXiyo9VhvrkWdqLCtdgQ0vmxvvaLKd QJnUjIL786pRi8PNOr9mFnzdHNnu8UIS/qVrYMavf4bqF3RlT51kwxJqc8ET xUkk5MAz5Yar3h9UuHxk4cPRfZJQOA94cvBopvMcOZgZ7qNjtUywnl/fBaFh 6w/PCKfC4fyarKBSwXp+rRNc+2k18cBGHjaPdO+TkBCHwn0BB6dPdncHFaFx 5ZyVO4fEoVAHsKT0VJfmCQVYUCJXrt0pBoW6ARc3B6+idcrwvrKhsuKtESDU GRTDUOvrr1TgpzNmK57dHAfCuICMnjjudQkVKGk8Z5vMOT4SxhFE6Ex30xT4 LemwjYnSm+9AGHdg/0lrr1QOFdZeN/8wVdsPhD4BDoYPi7NmCvqol2U7LFyH gNBXICBWTNskShXOL63OYvdOAfvr+SuctD4jl9xuBdUCHdid3mZ91XgK7DE/ 9Eqb+xn9XmRt3ZakA7WGHy2JejSAhBxkb3G7fsKUBv8HlLgLQw== "], { {RGBColor[1, 0.3, 0], Opacity[0.66], EdgeForm[None], Specularity[ RGBColor[1, 1, 0], 20], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxNl3m41lURx89RXFAoAUUTZd+uLLIqLlcRhAwV8ioaCEpERKCCa4sIuJX7 bloK3FLEqwLmhmwqkREuqUUpmprmkomVRrln83nO5/e8/PF95j3bzPfMzJn5 vZ0mz2w4bZuU0v05pW1D7hCIn4m5XQLbO7ejc+z5UqBZYLtAq63Wv+wcZ1o7 1zywp2dY3yPQItAy8BUla3tpD31tPLdToJ3nWNvbdXT3DnQIdAx0Deyu7g6e 3zXQJdDWtW6uY7O7El49lNjpFWivjjo5YfOywJzA3EBP9+7l3tba28e9zI0J DAsMD+wb6BToHBgR2C+wf2CwttE3wDvAcaCyu3t7ymWQcz08X6fNQ7TRL3CA d8A39YG+rg0N9NfOEM+x71DPsXaY6wOd66z/RmpviPcZJPfDlXD8quvYP0J5 YOAh+Y0KjNYGfjlK2xWvLt5/vfNHum+g9o52L+e/Lg/sH6PEr98LfDcwPXBf YFFgYeAXgVvleFtgvhwfDCwONAZuDywIfC2wMrAi8PPAifImnt+QF9zHy2m0 9tg3IfCwe05wPEa+E5XwPUnZEPh1YF2gKfCbwOOBu9T5fe/0rcBxgbGBXwXW Bu4MTHHu+MBUbcLx284xHidfuH7H9XH6aby8pznHeIa84XuKEr6nKk8OnKac FJgVmCzH05XwOkMJlzOVcDxLCZezldg/RwmvH2r7VH0wXV4/ULJ2rutwIc/I 9z6B2YGZ8vqRZ9A3R37wmquE1zwlvM5XwusCJbwuVBKLi5TwuliJjXsCd6fy Vi6Rx3mBS5VzlLPkUd2H85fLCS5XygP712qDe1zlHFyuVsLlOu1h5xrnOHO9 c9Stmz3PuRu1d0XgJu2x9rPADa7f4Dn2/VRdzN3i+k9SrXZTT6n31GdqOP2B mk8/oE80d0w/2MV9rLVyzFprxy3UR62m7lO/22jvCrk2d44zWV3o3tlzbd07 Tz/CaU+5Yo+a3U57eztGV3vH6O7gGPsdHaOXGtVZO10dw7eb46qvdFMXNbZO e9TwHtqrc4yNXu5rJteW2uvtGnupvdRYegi1vK88+jmGR3/H8BjguOolA+Q1 yDE8Bjvuqe7Bxqad/oLTEG3D4wDH+KOP/Kre2d3xge6DEzW/XhvU6mFyGppK fYfTYY6rXjJcfsNcg9cI1+gLo9Rb9Ziq5yB5d9Rd6tsJ8h7peewd5Tr2jnaM jdGOsU19HpNqfYXx3f5Gz5JU3vmtchzj+aWp9Bj6yh2p9JxjA8tS6TcLtDdO fvSlxlRqOn2GnkG9phfRc8bKabxnsHGi46r+UvvoAdTkBrlMcF/VbxjTK5o8 R5+ht0zSNrV6spyow1PlQa2ekmq9aqKcpngGHtTpafp6qmfIS2J+sLynqbef MThEe9TAmanWY2akWo85JdV6yaxU6yWnp1ovOUP71OFzUq2XnOX9p7te9Zsz 9cUM16p+w5mPUvlGGaVtegV1+WVjsVwe1O7Z8qhqedVL5qRaL5mbanX/klTr K/NSrZdcoA3q+sWev8wzsz3341TrQ+er93L3UYup19Rmah318Ub3Xekc565y XPUMxvSHaxxj+1rH2KbOX7eVjeu1WfWEqv9dqN6btI3emx3P0z7nyCVymxyp +uVF6rvFO/BmeDu84dWBVY7H6n90PBJYk8pbIm8bXUcu9vdjgV+m8v7Io3ON JW9xkecWqIPawXvgXUxKJffudA4evG9qB/lKbpDT1AHefoPr97jnCO/AuWPc 1+D6En/fIbeF6ro/lTcCrwe8x4ep5Nxy77Tc+28I/FY/jlT/CNdW6J8N/iaH /xD4fSo1aZm+u02frpL7Un3NHN+9j27lmzXeB3+s1Sfr5YB+6gffqN90jjXq Kt+ufwu8qV/X6duH3XekcoN6Vvib9X8FNumX/wT+rN/x3yeB5+T8ufd7N/Cn wL3ekQ+BP6byPf9+4KVUvv83B15IpfasN5582/838Eoq395vB95I5bv6rcBf jcs/Ak8Yi38Hngx8HHhVP+KfdzzDfXNweCbkZ4G/6Mdn1N+k37aNPc+G/CLw mn5/Vr+x3uBd0XuQd/x7Knfb6F258z8DT4l3ncNn9frtvcDzqeTcS/J/0PHr rr/gHe/T71sCT6eSl5u08bSxYf2DwIuplq8v6usH9NMHxnSl8a2X0xY5fWRs F8pts/tecY18ftnY9Aw/jcylppCD2+Ti3wX6jXgvNyYfGjP2EENyc/v4vV1g aC71jTrbNn7vn8u3y6CQbXL5nhqYy7djW+NDHMjduvjdPZd6+D/j+Yixne94 o3PL9Ne9+o/zzXLR1w/9uXzP9g/ZMpfvXOZaOE8e/M682GxMFppTTfrgTe/F O3tD/eQv75j3/mkqb5v8/MTYLlLXGu9Abq5yL7mMb4blUv/JQXTf5fkl6sPX 3A/f8/6Wev/3zalGY7bSGPIeiAPvg7xb7L53nCPHeRNwb/Le3J861D5s1efy ffOaNh811xrNtU36mJzsEHsPzuVbYotz5B3v5iDj8by+JPdb5RJvYv2E+haZ R1XdHZ5L7In7oSG75NJLPtV3q/VZD/1GD94nl15JzvY2b3fNJc/IscNz6Xf0 yhHxu1cuvXK++YRfX5fjY4HdY32/XL6nOubCAw6dcrnzTGO+2njwrdA5l28H 8mKd/uVNrDUeXX0PvIXdcnkPvAX+o+2Uy/+qvshc/s+9avy5c5+Y2yGX/yi8 11HGe99c/oPx/+s5Y0ve8CY2mnPk7OPm1o656ELP/wEilzqS "]], Polygon3DBox[CompressedData[" 1:eJwtkUsvQ1EUhc8Wj6ItpVWPEi1FPOqRePWWRBDtFD+A/oB2jjFmhAQj5kZ+ om9ln8GXvc6996y7197ldvey0xNCqEIvrFsI5/CJ/oIBdA364vtB9Cb0B3+2 h85DGV2DYdjmnKZmqQnMQYfzDYyjd6ES/M4s+opap7ap+9RJqKM3oAF/kMCU uccv3EKJ8wWMwTznQnCvH7iGGZ6fwIp5lhc4Ri/CI/oOKuoduugHOJIX3Afv uQXf0IRp8z4OzPtSP0OwparZwBK6Cs/oN1gw/6f+JU9lz8FE8BnIq2g+O3kq Rx5GzfMoZxJzl2LWgvls9G0aPWJ+Rz0U4w6ycQc71JT57jKwij417+0d1tBn 8BF855q9Mh/GHShLC56CZ8qYe8pL/g3zHWp3muFynLlm/Qr/lgYkPw== "]], Polygon3DBox[{{271, 328, 21, 272, 20}, {98, 314, 83, 283, 84}, { 313, 73, 282, 72, 58}}]}]}, {}, {}, {}, {}}, VertexNormals->CompressedData[" 1:eJx1l3k0le33xkUoScqQVBIl8moipdJGGSMSQmaKEqWkQREq0qBIk8qQJCky FIVtShEyz9MZHYdzkIok/Z7nXf3eb8tanX+sdXvWOfvZ+3Nf17WXuhw238fL w8NjOI2Hh4/4Syk8o3REKB3T1Cq7Z+lQwW3pYI+0Ghtm+83Pc5pbhvLvTbQO WFGBYyRbo/+oD4zrTgSvr6hDWtU/NikjFLBb8yj0eSkLrNQbR1PelUGJV/e4 hgQFPt3m8xk/xoZp1S0nz3Y/hxV+iYHXr1HhjeJMx1IeNuR+UWwLkknBzxVW 4c5rabCzfh4n7mofXHLadDHqUCmeqZvtcN2XBvuUFvDb0ViwQXxlqv8/dai3 QGpLmAYNGDMZbiV9vfDlXk52F08HfpY83Kb3lgKMLO3TNk+ZsLr7yurrl2j4 sTT9CM+PNuiOmPbJw5cBzjGpT4Z52qC8z1Lz4ps6mK6aTZ+b2Q+cXrZTxs9G AFUJz1yXTkh9UenBu4ENd0203lzfVQEqOf02KzSpMBljbPLFtw/KFGOMDI0y YNOloHs+d2mgVyY5qLC2D5b6OIZvTnyEletFVoXI0cFtBt+kRTMLbuvf5z0A xaj4VKcy7hwdindqDtktY4Hoy20XL3NqUEtzs+Ltu3TQ/uXNOjrOBJ7TNtPN DdsxK1rDZm4EDTplKnmuWjEgRq7eulOZjsu8pekh8V1wQGBwTIr4f0aD884X O/rQl1G8vOFjGSiobHa7X0iFz96S/Jp2LByXp6qzZ37A1ixNk4MdNJj1bTLM fF0XWPQk+cmM1kCEuPTVFBYx92NlfFmqbXDZtTDwUXMXDEuZ3tOvYMHOjy5z 3RZUQcQz7/K2SBqcajS1cQcWfFcuOsorlwWKK+CEzkM6mCms4qbuYYGqw0lX 2BCDhpXbDGvG6PA6WjUtfgULZHTskhJ/FqBIS+umysMMiH1HqSw/0gsPnF4c suZW4fTVt0R1+hlgGG5d8UqcCd7JpeM2Fq3YWPTEKDScAXtCT2tY/ST6YUn5 MPYPHeH0jKLiFxSwjrPN9/OhQP9hB3Hhef0owl60/6bEB1jmNydtiNsN8/ZP O/p6fR+6vLiQtWF/LSrYb2sPSaOA4vtv9z8UtIPIsWKluDvpYPPi6Z1ZJQPA kFJ1TK4n+BZtdZu+pQK+hgxHJhT2wc+ZB0qPr+iGNfkLho6b9YDlJ88laRlM kOvY7FTMrYLifX4/+FcwIHHdD8PBGia8m2eZxn87E6qpTuIakQzgC+xUdwnu hRrxjobVPDfw+uzE1S7PGPCkpL3UJrwXZldwhBpdc3A6321Pyw1M8O0X3C/f wAQPgbTdZ70+4HPharsw6V7IFootUDdggLZ0m7l5biOeKfq15GFUL+jbzVji +YoKUcHxIo7TabiTj3m6qpgOuV1G0jaexDwfVa0LjBlA+WUKu79WVYDiU93k 17atcGZxONtStQ95kw/c6a5sRbMTOsNXGjth0sxjDp9QD+610HO7pkzDUn7e 7+o/aPDAS262J6MDBHRMMm/4R+DQ9p5M1ysDcHDEc/nCZDoYRaV8evo1G+IK PZUnDViw7GUpH3UXFWKXPW779IQCjbUB8Qc9aNA/phxblFUBPHNnqaR/Z4K4 2fCZMWCAtZXoe6WmNFizJbTwnAsTNuxNku9+z4TSTXIyXYHBOHH8UTz/Oias ElnV8Vy4Fxps/Odca0nHIyVDB2KqmJC5a8W3IRsmrHcL31ziWISNtmulv4iw IHnndOPqx3SwcfKV3qNUg0+NbD61H+2Dy3KtTlKPKFA3q9S4N6YbH0rwFH+/ xgJX8bVpq5XawIJ/kbPAdQ7aXOrml/xQA0I3fnjZt9YC3bJQ8iqDiV8EaSXN HVQ8pbNfs2iyGf6Jbn31oK0FFQZZssZdTPSQs2iY85AK9XeMF4hkN0DkJf1m c9OXqFriWROuygXpVKr/s80dQGGz9Ln33mJZJbc/PHgA7DuMPrAnGDC5VmFr hHMR6nx9fXy4iQnCQhX0Wi4Nvt87/Tqgjg6HXRf0C35sh68Pefd+eVUIOqnu gfiGBY/nBX5r7qYROrnf5djsBFjhot5nMsIEl4PVQYd0mRAoHvVLTewwVtCy nfouMGGfVFOVzFsmRG3bGDiqHo+m73qvT1fuhTfG1bqLhZnwyiCIqrUgA2uf fC9YlMYCuUGj5JEtdBD0vGCe7FqEbbYDT01r2ZAS2uH3mtUDY0c5OqMddTjT bNoKtB2A+lH7VUmMJljd76vOOTKAManel74ltsOOhoy8ggclsESGJ3bZxy60 21Ax84oHG1Wk9/IVDNSB8amgs10xH1FW7LC3SmUfGiqaZvrHU0AQ1rzakZeP bUVXuvbxMTGk9IOPMIfQz9+fZRFiHCvpQYjzrs64JlX93/n4utrvTaF9UNFq nFxhRPvvfOmiW/PbV/TCjmQPynLJ/32PlKanklcCE+7/cyfg08P/nZt6S/3M NuqFue+fcp2GGf+dBzcPmc/uZYGf5hKVFCn6f+dRgbL+ebv7YVOQzIhvUs9/ 50cc4iYqF3Ph7ZmCceWExv/Op+2WijYZHASe/m4xWav0/+cH/8IPTuXnrZlS GcEP7s6tu03yo2QQdIzkJ2LMk03wg457T6SR/PT3j3wm+UH7Ga4EP5hit/8E yc9ukZk8Lf/jB//CD/yFH/gLP/AXfmAqP7v1WAYEP+AbdXkZyU+3Utx6kh+5 jIRtBD8wszF6F8lPe0n5O5IfvXPfCwl+4N7B+T8uE/x4KcnIkPzIjZ64RvAD a2frHSP5Udt+I4Xkh3s57AnBD6gfjGOT/PBrnNlP8jPLgkPqG145MeYVQujb ljfJWX/oG/5F3/Av+oZT9e1dwvrXhL6hkaNSJalva5btlCL1TViFLk7oGwS4 3H1O6tuESEoNqW/nOzrnE/oGd92HHP7VNwv9acOEvunjIlVC38DfXVme1DfF JTw6pL6t3ROrSOgbtO5wKSb1DbRNj5D6dinshRWhbxBSHJtH6lvhjP2vSX3T 9dN1JfQN+qy0vkoQ+jY/x/AwqW+lcRvFCX2DZ7JV70l9u3UaN5H6Zl5+u5TQ N7gqlCJD6tumhefqSH3jTbr5kPBTVEyK3x5L+Omp11b3SD+lNsq7EH6KD/VW 8pJ+WsRec/sPP8Wpfsq22+NN+CluuvOAS/rpKdE8iz/8FKf6aa2AWyXhp6D9 1WUL6aemOUtzST+ttG2dbHDNAW2rgydIP6X55NqSfipi9EWf8FMoNZjcT/rp ve/7s/7wU/iLn8JUP73y9YUy4adQH3+PTvrp8q3f4v/wU/iLn8JUP/2dx/Av eQz/ksdwah7j8tI8iDyG70v9L5B5LLYcqH/kMZiaxzbKrrhN5DE4lvVOn8xj Woudi8g8NlEe5kDkMVhcuHMRmceuVbKQzGO2Dp78that4GWWC2QeS9lP1Sbz mLDU12oij0FtGDuLzGOCaTHFZB5LmN0nSeQxEKUEKZJ5rGJEJIPMYydFo/2I PAZhS9k2ZB5T2STQT+ax3/kcp+ZzndNrDhD5HA2rsrTJfO7zI/noH/kcp+bz L82HdhP5HLemloST+Xxy35Yff+Rz+Es+h6n5POzUkQAin4MzJ209mc8dyj91 /pHP4S/5HKbmc9uf+TuIfA4z9N28yXzeuELPhczn0jOy+Ih8Dn5OE4N9RD6/ aW9iQebz3/sU/mWfwqn7lLR/UhWxT8EJlcx75D6lm9/YQ+5TpoXUCGKfAnqE /U5yn/rK6hT9Y5+Cv+xTMHWfGgmft57Yp2DPag8Tcp/6Ojq3kdynzu3+sYbY H+FN55Jqcn8c3aTCIffH8vv2PYuEyiDsw7cgP2J/rD9YsyuB2B+L/OPCif0R rONVDcj9kd/dLZLcHwdHN33rX0bDeUL1SbOt+3C7o3XGiDICZ+5SYdfCUpx0 uj4gEDeAVOdvp0eT28B4lcQgNSELZ2SElJbvYeHN9OZEuft0+KS511KD0oSK ETH/pNXn4Uzta0WfUjgwrDd40/xED5Zo5577OV6BhjXhL9PvsOHA863nAzr7 0Sdkl2ri+So8FMfavr2iHSyPf5A4K1mLI7ZHDyrf5WBfrusVE7NaOPtDbH6S Rx5+n2/Pd+0xG9ObaRKjeynwwN1X/OmRNLzsIdVyZzET22MdTSxn9QKlKXw8 ZlY7inhZhfvGlKCmfGl/RfQAdFRf2+HIqMcV6V52dq+yUTDZTnTGDi7oNQUI Hm6n409+Iak3EnU4+cbs+ynCV5e6vhQfWEaDRt2Oa2R/9q35TCP7s6Lq1g+X wlL41FvFJvtTOzv/Atmfl2X7JGgJWVBwjY1kf8KiU5+S/VG/fyAwhFmL88c6 473oHDifoXUv0bkSbobGdBSa9eJmTwlrThYDqtmP5Gz0ckDG+sgFEXUOTjAv PgnkbcPHRk5LU2USQb49aZwS+gaNZhVFHO7l4GMBYyXXj40w+Fw94uHGZGwR E+GTSOvDU/3qeTMEaUAtHTUn5gKFjwYl04m5mLgcLyDn4tCSMMewogELi89P T2K9RVuHuxfERLmQbp06YqvQgisVvW1HxoqxQa/G8K4WB2ZUCEcScwTe785M co5nf1JSyTnWzOQpO5TRgYdvbw9u86zAJIHbtvsa+mF9nfilk+EUlMC1lmV9 dcjmX8BNmdkH390lThFzh9fUGv7HxNwjRN5rkHN3rpk4XSLPxNIP3YqOXW14 o/VZpFolFWQTHt/jo5TgzmVD0cZr+uHC24msANkeEKjTG+LSelBry15Nwa19 MI+3pd58RQPsaDz1a8fJQfwVYd0a8uIqVGSs2xwj+x6uPjwhLBhUjv7T3Pfl VHJRZrvgT4PI9+CyLOi5550ivNiVusvsKhfHJ87z8FNqgNdTyVFV6SUeevza WeJXP540NbxbndEF9cph/N8epGLFh0c7ZbrYGJJ457y8EQUWJvou3zUQj8FH T/2UNuzFRzUhYcWEfjvJe/HO9a1Hlhe+zFDJwZsuabwjllxwPPprDsE53DVd +y/nN1SbokjOL6ffn0fUCRTHbW5knZXr1okYEnXeLH9pTvAP8TEpvCT/P68f /pf/33XC1Dphq8W55CNpYNJ4pou8F/yaggbkvai6BUlEnXDo4g3BhUSdtjec z5J1Wl6ViyT6DKkGh+6RfXYbEn9B9vn/83BFIONDEbUfJrXyTZ+5dUO7WqjG Qq9iNFEpXaQ7NgDSrtUm+6NaYZ2B1byc1W04IRNo9VWoAv1z3ym99BsAW6YA n844FYtZUptXaXTgxkWS1Y+uMQAfeN3MdW+BY5mnHwgOlmKj4vPYK4s5ENLu u3JJLAU8UyeKlKQa0Sllnp1jOAuem1q6iR+7iXOc7X22FjBRQ/TMx/PnmGDp YO5Eu5EAbaY389tUOZiELKcJ0TZ4mrUqssg1HOZ/yBPzuMzCkgUYuCyUDu19 WqM8/Bx0WyOrahHVBlrB69df98yAC1kVfdFWz3D9akp76CUuPkpvfr22rg56 G/nVredHY/LMU+d453JRYv0X3jddjRBmMXymy+MOeod2Hr13jI1PtA5dkZqk wMqMV4NyuudxJDalb3t2H9aGaJ48OJsGy3muPlvt1QCFtUm73E/kIr29SClF kQs1OZUeI0qNKEVpFtsgmI8CM95EyPzgwNPwW2nY0oS/snol5wqXYrxauuLA CQ48dM8bttPsAJ6bUQvO0N/jRp81cXclB2C4uDFfza4TAy+MmmUHVeKWX3oR 7y4SPj5z1aXrs3rw4wmLjm1ODWiwR7L8dEEfXM3KZy8i5l8u1/pP74wWjFHM MU8ep8HCJCuntQ3EXif0Zc1Wrw58Lzuds8SaAqd0v4Z3mnOQ/a2FPTzUgEF5 /DlvL1bB7ZmyQ2WSefh0+vNWSf9BlGou8JutXAy71h8Xps9IwE2jvKkbcgcw fothWYNMB7QI12RVfInEl4Fb2YdEWOj+WeDX6HwGjG57yNB6XI/51vENE1oF 2N/31XTlRi5Qb5i16jzJhnf2BgVL3AZxmeHiJ/YOZaCd3iFrkREJc+9kn125 aABNhO7tOxXRBRT9Du/B5cGgcU6jKWhPLzZ9KXDYQWNAS0h87K3SLGizbzcc yBvE8KwFr5shF0qNG+2++URCgjjvAwlFDt4WVpnYZNMG79zYlymKwWB+84v+ rossHKy0cHt/9X97ZWXL4uIjXYM4FuqSxqfwGs6ZaqklyNWDpeXTMpeRXNyj mxs+054LOdMWLmTQGmF0vPobNaoIY6Li5+ghBx4N6mer0hsRZb9JChPnIYo8 l4A4PxYlZpslX4/rM7XVfZTfoDFTkrrYjguj3Q7HuRKteGhnwD0Tv/e4491R VefWAcj7PqGVeaEV9MS2n6Ybf8AFZ2pKXmQPwNqgIG0jpy5Q1dEtTXKrxYuh LzJWVbBBw+aF33LnLjzFyi+Oc61FhTdDYguJ86EPZ85//NaKKh6lB7aqliPn g5hpXcQA7POVfC/2k4JrXzBmLRtqQZN+/gX81r1Q+JznXMdeKgyu1Et+P6cN S7mNsmn5TMhrfJaXcZoB9U+MW9p6aSg9l1XyvLIV8hNHr0YGMHDP0X1iVTQa Tv+UoKRPnBusqd764DUVB56t9JEzaMfbCqlv24jcu21gsZo3Px2r9/IlnEIG vlcI3OER3AKzrshHx8+IQzNaZtNz3kFsrXjuv9/iE8Qz1qUQ88Xzl3r/ne+v A9Ep5Hwr0xIk35U/xNKQJ0Wzurm4OqKuj5pXAxM+i2Juz7qEeFFdMG11P26N 5Fft6+4Bli/tLcED9gSJPSR5uKu5ZpTkwUiEO4/RFob6WqsPGAyx8YR/ecvh 7RQw8ZgQDTX2R41P1p/fqTAx56XX9XHRXjB2bj3XoxiMfU0//uXnDtX2X36y K0tuGIjGgoPgofGxLi4OLTiysp+op7DDfjfxXvD5+5xm8r1sv0qcJN+LofFj XpfYJRjTszTbTvyuiZrkfB/idzdvOhdN1A/2ZyNmkvXHMTRXk/Uf3Nxi2F4T AGsy987brsDEPHT3kZHqhcupRuqXjP0hkddskqwzYx31PFnnvBxGj3b0OwhY GDCSkN8D0op1zlfesqHx1cnNdS2fYEvOlVW29C6QkL3TQu1iw4b2VzVnlyYT nX1uk1xLAUXhkt3HL7HBiddeTWSsHcOEMjo2X+2BzIbv2ouu9MLkY8tqJ20a qiWNLa2daIUXDl9O6PMy4RZqWqZYMDF2juvu6Pl14Fr1WXnbHAZ8S3xxZ6FR PQw9219X7d4BB5vVr26Z1g8rBIIzn4a0ghS7RdyPVQ+Jww3yITH98F1G4Ijh MHHPSxIzD2uUAa/MzZ6cs3RwKZwPPPEs3E4bowZzivGaaeB20R4aqPcJFYTM aQfKhqUbJFxKoDTW0NXs9gCYtG10cqmn4bamFB3TxZ1I1RxxtTtJB2O/zZMB F9qAf6a83OS9N6AIZ7695Q7AXld2wftNrTCXL/vYiFoyuChHDSc4cMCca3sg 1p6C5c8uCQdzenDzDt761z10mGv6j8Bbr3Y8EDNRaL6Thl5x7qWPLjBg4nuT zTtGEyRrHVapSY3Ek0vkFYx7OJBhtVZXoKUGvU0GFdq0GZgYcvylmisTPPel 3jSpb4Ckjuom+Tvp+FC0p/zzai48u2xzfHUv4nP5gsaQHwy0DH6Z+oXFhAXu n6OJ57Fx1m6mHPG8UFzOR/L5JPOvi4jnoTaorIJ83q9BPpd8/tOHTbZEPdgt 99qnkqjnhs3jf+txFjNVI+qBW7txEVnP+KedBWQ9v/uAU/vA728yl3hf8HE1 ziTfN2erfBX5vhvO5P8g+olH+6QEfxH93KNbOkL2c1ac8xtiLji2sDuJnIuA hacjOZea+baHiH6Cvyw/P9lPRsz9JrKfI7RjtsS8ICVGzpWcl4bupD05L+4m VizBD26gCD4h+Zm20eI2yc9vnnEqz7/5gan8/OYTpvL5+77g1Puy/mx7O3Ev cM52B33yXrTKTHf6417AX+4FTL0XqnMGQsVVyqF51vHEbtseKC0SzN5XxoYl MgmGASNvQado0LOJ6MdNhWRt3SQ28EhQpFvSooEvb13lz68UkFT4dTfzFBtS dDfsKdfuQd0dThOeaV2wRUhguJPBBIvslM5P95tgc4+WhUFPC9QGthxq3NQP ApV16firFvzMDr/cdawTpALaa+5+JvZ9d8PjTlLtYFLxcejuho+g6dujZrZq ABZ3mubez28Fx+GhMOuGdPBRv7ywdSMHahaJOkrT2+Ch/7saBVYhRC1oFH7w ZgAeeAdmjixqgRDl54WR3uGwWz115c1HHHCkGlAo+o0YEJMpynpAx2tpuzyF hZjwuYNfvHF/E0T37C8e6XiImiPO2ZVfOXDF8CL9mHURDpfvW+k9xEDbtart DjQmDF1P3rhwvAGjLfb0Z1qmoUCQjJy6Mhf0F4hWPnCsgijubtnycwyUXTBQ rxrGBHEVm5M3+pvxVbP93mtmASDbdYA+9wUHWhjL3dX+aQLHbeIqhr50dL9g NxI6xgD7knlv31KocPvp4i9Ci7vxgiX78Kk4Onye9sZeYloXPDlg/erMHSo6 jF944m/IgN67GTPmGzGhcVG+YLt6E7qoz1C2kaLDPLz26KpDL1TviKtcN/oR GA6Op81e0cFt6XlFcSYLBF+v0tyiFQchvcHSxmJ0kE6wS2TtyMXPw6XtXF8K 8EQeeVoez4Y67dDrddmtEOBw63A9HwVqqJOP69t7Ac9MxFi+6oHpzsu1f0h2 gVWYzhqfUiYoNYerCe+jw33eZ76h1whnPGMR/O0pA15lrOBLUWChx9k7UmHt Fbh1e3COMJ0G83QfK+tGsXBo0jlBnb8Un+13OMjtpsEeKY3I3Q9bceXd2ctW JNfDzOH6gPa4fvg/jucunw== "]], GraphicsComplex3DBox[CompressedData[" 1:eJxlmHs0VPv7x91yujgKoUKkkpDQPdVHFzUndUqnlMhdJZE6EqHRTaUSRSWO IxFRlHCUy8OUTqXr5LjmLpRLzGXPbCPznfVr9p7f2vuvWeu19vrs/Xnt93ye 59kzPA5t81aQk5NTk5eTU5T82pQczKi0TEXcmM0/YtO+Q1HSSqdbDAGcnfjr 7LPKtWhG0+bHYvF3UFi4rd72lQCaYxs+/lr/hbw+/zxj55HFQnAY7tP972oH 7A18mFDo1wuPp1V3/Gjhw1XzIFbRITbJfS0SZ608gwFxX4J3rr3DaTMQQOoe ezOTkRqSD2mlHEvMkt2X4Kti+C9TZgghaPmL9YrTBkke42qi0X5eCCOmf6cx N/BJfr8tLmN3hxCWuhlv9JzFg0XVtif9nLrgqd4Vy6cneeDZlFz3tr8fsiZo RPg1dgEsNXeIessj90Vw413mp66Gy/ZF8FUVgcOd62X7Ivjdi7M97uMYuS+C m35c7197RbYvgs9ZmW+upyrbF8G1ymf+Xhci2xfBL51hG6ysFcIpvWCFkcBh ksdMm2zqMReHsRPt3YJTxYjYr0Kjm0/ZYZz0MJB6dO+s39ohSty03+Azl/RA 8CmN8uNdjGQeCN7SYrv3X22ZB4IHPE5QK1CVeSB48V1F7fl1Mg8EVxIwXZ+G yDwQPGdcsKbFqID0QPBpmhEWcX4yDwSf73kJNr2VeSB4+227DsUZMg8EV9Wf 7c3wxaHMXj6zxR4H7//LSSNY2hThzBIu6YfgehvGrJUTcEg/BK+ZsWyvjhOX 9EPwKv2D3T75PNIPwbuPLdUya+WTfgg+IehNfViZzA/BU+f8tnSJj8wPwU+E idXsOTI/5HM6tx/b4SXzQ3BPF6XRB5UyPwTfV/s6PGSazA/BjxolhEd447BB TtN1eJ+CDcGXHspoKcqUefvpkw3WyVPfFKhxKbliw7ViP0HjpyFKrtiQ21I1 xcqRQ8kVGx7YO5mJ3HiUXLEh2/G8o1IFn5IrNgQUjmDJOdRcscFH5dQzPVdq rtjg6pq6qfkbNVdsqPd3zrZzoeaKDYs23BwXWk7NlWS/O9wD2ZrUXLHh4ZdL Z63dZd4I3mDwS3dJGtUbC8wLvr95tp9D8cYC+cgbwYMegxRvLEiy2BiLjxmi eGNB5d0IVY0lVG8suNA/MiL3D9UbC7Lzrr2dk0X1xoJ5Xbb/CJ2o3lhQ/Gxj 06QeqjcW5O9+kRTrRPXGgj3h4/+rKKV6Y8HsyPh0LQ2qNxaE9jxaccKF6o0F Xf1j98ul4qDVdzbg/Fslkk8bkP94sQEn/YCedfFi27bifWM3TPl2cZD0Q/Dh m807P/4h80NwM6PzjcGVMj8Eb7ZYUvLkkcwPwd9ald4c/H+5Ivm/FbN4X2V+ CJ57nO1i4iwEkdQPwZOn7mo7JfFzUuqH4AFBZa9t1XH4ReqH4IOhlvMYe2R+ CG4732XwVAoOKiHy0UWjhB8rtLi9J8GzCYddcztei3RHiTwgB9sSECwSUHOI vliHThk5i1FziLSG72vdtOZTc4iqP42vWLmOS80h0uoKSqsooOUQlW7FHOV6 aTlEH67eEJY8p+UQzZ958nvpAVoOkTAg8ajHIC2H6IHV/i1ybrQcokMeZt8f Ai2H6PG9i3t20nOIXBtaUq/toeUQea1RibFJoeUQad9xaV5RRzsPkfPJD+vm JVB9spGbeS5rfTTVJxsxi6vF8depdZaNLl1zND20mFpn2ci1LOV4ygxqnWUj pz/Nvwe10c5DlKEe7fwolHYeImzflZVjRbTzELFeTgnr2ks7D9FpYW+25XPa eYhAt5qzXIt2HqKmzaKmHa608xCdnM0QWN6m1V+EHbbyTCjFqPUX2aQI4h5y +dT6iwqiJP2GJ59af1HRisj3KgV8av1F22Mbd5e5Y9T6izZfP/QgfIyAWn+R X8+yT+9jafUXnbBwN/IbJ6TWX9T3us0yKYBWf5H14B5Gy2ta/UVzg1QU6+n1 F91X5IUzPWj1FzH0BHmb7tD6N7RIMK1MeTtG7d+QSO1JUjfGp/Zv6IiWxfyG 2Ri1f0MP1iasGUmj9W/I955p5G/mAmr/hnpyz3ng2bT+DZVG7ZkkryOk9m/o xUL+dHYYrX9DoULjyqhPtP4NPdztrjKZ3r8hDb+7Oj/24tR+Hhk338zgp2DU fh6lRO0bee+DUft55LPwjcV/5zBqP4/C0NIdtt20fh6xbwVl3nEUUPt59LXx ZbTqK1o/j4zD1ceazKf180jzbIO5xUVaP4+CUjqyRpto/Tyaq3Zq6JUxrZ9H d0ua47QP4tT5CzE4k1+LP2PU+QuliLjWIUYC6vyF7I7rbK87S5u/kDa/JmdC D23+QhqixalbbWnzF8qsa7V1SqTNXyj9aNVn+W9CoMybqGuM/GS7HNl9pfMm CtIeTtQeK6TOm6in+v4KNUm/cep1f81fPSJpbvOQ3bw5sfUDGIjqJofMKMZI bqHxh+HvOB+OdlvrpF8eIvnFnqOT8nO4lHM7D4W5p+ePkdTBS8pjbgZ7j5J8 xNzszj82Asr/Lg+1BuZue2TKpz4PKD7SbMcncqFT2WtgZMEPKU9FNcVGn7N0 BWAQfQxW/TVM8q92pQuLymjPD/oZ2ltKhIPgrHkxJkJZSF5fd3vL+R7JvHkr KdmddYhPct7pxn0zbvOhZmaelVI9h+R+Lkdu7IrlwefeyuP25T3k83/+sXBD QhB17stD61Zt22CpxwGN7ErF9WsGyXWCbTtffLgyBI3hm6tuHBslufECG87k dQLq+uD85axw8iCH5D/7lo/FDzt2qnvrcCHFK+/exJ295DqRbGf7vsMc8r3U tW8XLsGZ6FWSbmboBVldIHh6YnZD8iI+FCY9DXycgINPcbS3VwET1JqsE6+P DMGXqWsvuQeNgp1H5BP7PCZ0CDTyy8q5oMf7tOkP8xFY5c5ZjVeeQHvZB3zv iDDoSvnFvSdVBDpSznqY7KTZg8EzZUbjhPGy9VcZ/lveUjoEtxREAzVyAvjk 9vN63Tvf/no0CQOXXHPFg0cx0Jeuc/f4s/TsAT6oqxnG7pbMQ7j0ev/UAkZ7 DxeUm29aZwUMwbsMtcYF131QSkL5y+UxXNh+IOyC+fFR6HhwISGkNALxzbzk kmwFZN6kHmATttFD3MmhciS6XP+WM4SB+gm9nekSD51T+3krrzERs7PXdJVk HefQbr34Gziwpc9zuU9+THk8RvqP2fFuZ9sjJkxR/br3WtMQmU/ivv+Fy9Wc ShikcsT0ENthYj4YGutYmajgIJKuv0XhWFJ/GAY1F1TLpxzgwSMpj0pRHT9h q+x/SqyT6XXTYGEmFxIXr6l+0MwFTHr9au5p9dypsrrGaelUvNrZB6fPjHOo +MGH9zmxhV9rv5LfnZbMnfn+0RVZPzDO8LE4Nm0AfHQmGHx8iJHnGMHVj5Y5 LIiXnWPE+txPcY6t3UJYGnl4aNwBIfl96Z26mlGrhmweiUtrN29c/A1yNN9k 5kny+UHdbNeBZC75vSjGIaIzO5FHnvPE9c6qJ4reWeCQUrHdn6krJr/nKNvl 5szyxYGzZXRHyaiA/N7SvNG312oFD9yYGoX7y+RtCB6cX67ekSTrrxb22qxv DGqFtPL0exZ6PFDJ9B9OFg+T3yWiQoxmvdXgkf0Gcf15T7X3n7Nx8M+2G9uw SpH8DhBT61J9pASHM/lO18eKRsg5PShbfcyoPA+yLNfURK9QIudfRsav776+ p80j4HxD515SL5e6Dkprwo9c0BZQ10HW1n+nRVbh1OdHMa3PK1ZLck55ThQw 91pcYCHNA0rrOPbXrnqM6hMNv2o2+iqZRygeUDhKvG+djlM9o0xf05Q112nv HUVOfP5DNRej5hBFjJlv5fgBo753pPDsoLf/fJyaK1QYfwA/oYlTc47ixCZV vTyMmmfEuHjex3CrgJpnpPzcXQEyaHlGW6c3mzIGhKBnZXPZ7c0X6La1/H2W Tx94pxfxhpr4MP6N75Rspya4HWRl1FjTD6nnlov/dsGg2rVzSdwfVTAav7eB wZH8X/780m0g8an+w8pM25ODut3F/n6ifngRwvS69VQIE9s0DXOMhyB6jX+o X1UPHNe3WN4v4MHbZ8q8Icc+OBzyKsiv+BuYF8crxbvxIZ49wDRxwIBd/8F9 1rJOuGAyfWvLVh6k9pu4pfsPg5d2nsJVryaIy5hjeE2FB5x1BQVD54SAZ0Sv bbzeBqcZK3/PNOKB7pMTKz+rjIBXRgjTT6cWNk7POFaJc6FU2y7RvEHRxitB /TtjWw3s9tU+l/gSh6S1y5xbN/+AzMkZ+YXzPoBJetZru0EuLMEtngx7K9lI OdLyHMdRkeQ5M8LPgLFYsv7PddAy+ZJazV8FIHj86V5wpWT9n/dFWSaRq4Mq cGjDB7wVFRVspM+J4qr7u4wk/9Nl7+Za78EUbKT7QrYBC7Ydf4hDfvmEKv1v cjZSD2jhjgVaRadxKJxkNkk1G0dSb0jNPqh44mwcWq6sWvrs7giSekbyl293 hDNwUFo2d9fYuEaQvhcUFd11ZuYcAdw4unH5xI/9SPoe0XOOla6W5Nyrvr32 s7iag6TvHRlkJD9trhJC678vnW29MCTNCdqQZ1idKhLC8sbkZw5zRkH3U4aI oV4Bk2c2D+74ygVbx/d2B4JH4Z5jlOeL1DtwP4cJoR+5MJDe+dvfy8TIY23g K31WF8zDTas/SvrY6YLiBVHFXJBytGbdJUfVNFndl0tfutotohwcmgy2u68Y hPYlTyeYrRmAQF5f68mi1mKCzzTP+vOf+AGI3RDornr+FHn9y01PX9cKuVDo NuLrlFtBciUdlQDDbd9BNdPCtiEDSK6/NjRK9x0fgtuUahVPZJB8uumiiTOM MUhxCDyyq4dJ8ikLws6EHRqCeDV9xzqeMyI4WIk35r/hQ99ocpJibSZ5vXJw gSlXch5HeBqc2Vwi29f/ANaLNhU= "], { {RGBColor[1, 0.3, 0], Opacity[0.66], EdgeForm[None], Specularity[ RGBColor[1, 1, 0], 20], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxVlnf0kGMUx+8voaFphUJKVGSUzBSyQ0bSkF3K3pVRSLJHSmYyQ0YiW1bZ /GHvdex5OObh5H7O83nPmz++577P897n3u973+f53qfjwcfsdXSjiBjdELFU 2mUT+RjMtU4s41wT5/BpmWicWDrRSotfmyV82yWWS7RItHWuaWKdxKqJ1RLL O9cscQocEmMSq7iupX6t5NLBHMRbXUuMNbQrGLula9q7jjWdEislVk501sJx bS05u2iJsa65idHN3OTsk9ggsWFiI+N2dryW4+76wms97ZqJjfUlZy/zUY9N tOTsak7y9dS3izk7mqP3Er6bauG4ubnJuYV2/cRWiR7G2HoJ7v3kRJ6+zjHe zHjE2sb38N1WC9/ttHAZ6387ItHfOXjtYCx47aiF1z3y2CUx0Fis2yuxvev2 dI7xbnKFy66uhe8ecmL9AOfw211f3u3veuaG68f41sSsxPWJ2xM3JWYaa6Cx h5mPNfv4DTsl7krMSdyQ2Fu+vLvTbxqSGOoz60eYn5gHaMlxoJZvPTQxKLFv 4iDnqMfBWvIcooXLYfoOjnJuhsp3pHP7JUZp4XP4ErzG6DvcfzbcOh2phe/R coXjMVp4HauF11H64ne83wCvE+VB/pO05D9ZC98T9B3pP2a/sFfGyQku47Xk Ye+zf9nHZySOM+epvofvaVr4nq6F7wR9yXm2PNCbic7B90wtfM/S4ndZ4pzE 5MQk1411PE6O52rhMkULl/PlOsEYY11zobnJeZGWnBdr4XiJlpyXaomBtqFP 6NTl8iD/Fea7IDHDWMSY5hw5p2vJeaUWv6v0Jc91viPG1c5Rg2uMRYxrtfjR K9B89J/+0MQxfaKp46pPtNSvtWP82jhu7PsWrmnrO3oDuo6+N4+i2+g4vaWd 46a+b+u3TrC+LaxTO/OtZu3QFc7XQGOh2WuZZ80oek1uNLh91P2mQ9T9o1PU PWNt464T/9f0XlH3mM5R96rV5bKuvuTo6ph36G63qPtHd3mt7xiuaPgGxkWz q160ke86GKOr+Xvq10VePa17e7lMjbKPpsijt9+AVu8cpe8Rd+uoeyB2K/mh 7ZtF3Xs2l0tf15APTe4XdS/ZJuoe1lt+/VzTw9hbRt1vttWvv2Pyob3bR91j djD/To7JjQbvYmy0v+oVA3y3qTH6y2l3/ci3h+Nu5sO3SUPh1qahrEOf2U/0 kvmJBVFrZaWdWLQJjUSL0C/07wTHlVaiQegzWoHWjHQOv9HOoUto5Dj90D80 Z3zUOnhq1Lo2MWo9Hed6tOUs16MrlbZN8l2lg6yvtJu5EeYj3v2JJxI3J35I vBTlrH+feCHKmf418WYU/V4q6/VdFF35N8qeY7/9k/gsimbTi59NPBKlJy9K zIvSq59K3Jf4JYoWcHaftOa3+D/4L83T/pz2tSg68VPilShagi69HEUzqj5B vejd90bZJz9G0TW0il7/XOIx/xPagqYfYK2r2vMdVR/ATtYPTT7Puk+21lUv r3o7lv1CP2dPsEf2dO7AxNwo9w3OIfuZM9nH+twR5R5CfWZHucPMkTf+1OO2 KOdoP79ziGvmODfXb+cdd4eR8qjuDdU9YpTvOBvcE6r7FHaYtRvqul2dY8z+ eDrKfqnuGdW9AztGLnea5yb5wYUzvI81G6Zvdd8ZLb/qLlXdrbDVnWuEOTk/ E/1/N0Y5q4Os20xrvzjxZZS+ygb4OkpfbZTP30bpk+xL9uTt1pv9uDDxfOJR /8fDxqzezzZPs4byT5o2lPyzzPt24p0o+j7T9ZyBqmfTd9GUW+VNjnnmXKj/ bGsGB/brg1HOC2s4G49HOSvsg4f8H/uajzq/FeWsck5XTLwRpec8alxyvhjl bDc2/x3+K+4Q3Be4D3BfuNpaceZejXLuLnEOP84SdWCPVneR6VHfLbhrvJv4 LUofGCwH9sb7iT/8DtZd55pB1oZv4vxN9T++HkUv0IoP9DvUGhCDszHftVWd sHcLntkvnNvL/D5iLzb+V1F0jW+e7Bx+1R2O2rRoKHlau6e+iLKvZlq/wea4 RR4NDeW7ZliLb6LsAf7lAv8t53WudZzjM+enui+S+xm/k9zo9ANRziJr0RDO 6+dRtBj9qu6g/JOPEn9F6VOL5Mmer+6s7E321yx5Pet7vulp81Df5/zP/D96 M+cYzWO//x5lz080Hne396L07i0cT7NWExyjpx8m/o7SXz+RKzzR1D+j6OnH UfoK+o7+fhpFj+/x+6nbf5MfrOA= "]], Polygon3DBox[CompressedData[" 1:eJwt0csuw0EUx/GZpmhdu6C2LWseAH0AW4/QdK3sq2vsCAnWEk9gZ2flEurS StGgbkHcEneJ+J7Mb/HJmcx/zsw555/O5kdGI865XkSxjWc0I44d7KFTe+3e uXXiCtpY/xDPMIExJHz4NoQY6zrxFwWducA5xlFEGW/oQRqt5GSIw/Ye6w/i MQbQhxa82DmUsIUnNKIBG3jU2vrZxavVqpwv1FRrFin1to8und1UruV84xQ5 1XyFJuqaIk6rt0tMqsdDHKlWu/sPt1jCDK51h+XOqfcDJDWDd1Q0i36rg7dO iINYxieq+mZ7d3A+3DWPG71pb83avHz4FxnN9t6OExeIizYnH96wu1fRrRmX NK+4D/9iDR2sH4gRH3Ktp39kT0bP "]], Polygon3DBox[{{209, 262, 21, 210, 20}}]}]}, {}, {}, {}, {}}, VertexNormals->CompressedData[" 1:eJwVl3c4V+8bx0lCyiZFA5XRIiUZ3VmJpGGPskNmSCgzO2TvLR9kfczsx95k F6GQnc+pkPXF7/z+Otd1rnM917lfz/t+3++by9DmsckBMjIyRnIyMgr8SfVo HkadKqHm7eJyqXgJWilVk2Wpx4A3utfzaWE5hBG018T6clH0j/LTaYMYfOS1 fFd1qRS8I/UfjRM/IAOvb97d3zHwno4Mm56rhenBcAvfoGaUXXlxb0UXg8HJ SvUkOQQy+rHbDziqEX/FtbsQiQFd3tnyEbkacO4UFz+8WYT2DXlqQioxEK04 1fotrAKo3+/LUh3KQbZ0IzRafRi4D67SP7pTBsRlUWspi3T0QofTRWMSg0MU bIeFQovBqJB3w9k1EQmG1khIzWPANvnXFp4SwT+04VfuWjSiXzg6fHEFg7u7 VINHBCKQ/raI+UPWAXSPwnGnmEiCcukMvQadCnij//vDc64+RLuNZZzuJ4HX +ikDW5om+B3SOnjesQX9cyY3j7uCQUla+dNlnUYQZe/iT4yqRJbHqb+OeeL1 ZgfJSOkhkKVyJO/oLEQ0U5UvVIox0JrX2fLVrAIT1i7CX+NMRPGHR+dBDwby HTzlrzXLYe7Uab99yhR0wdjv1Po4zjnlEdtlKIEgkg0xaTYG+UQHfI6Yw+Aw UY19YZAIrOVh7j5KEYjpRgvV4C8MpmksJlv68qFOQ1agXSAUBbi53WX+g4HG 6kMFqsaPQErz0b+k8g6FhuleYF7DQJlM/4+UdCoK6Qgyjjo7jJIGlbWJV0jw eXZ61Ii9ARy5OCaYVwaQlTLFHJIlwUAmIe+rXzskME3E5UW0oIgzbaX5v0mg 76fbdV+9BZi0ir9eeFGOXjhqaxpbYfA27RHDBf4GYJCPWvxFykG+szS+1rkY LI3F/1KfqwYvspcbocupaETtwPHSTgxsl8QnHkt8AnfyjzrT6rHo5sneyfFv GHCR/5Le6CqBb2bimSWD4ehZ8ZwTC85BMEqgL1OwCLpb+zRVq0LQRWFVjmic g+G629nkRwUwJT10l4ItENlRHrVc/41BHP9buzXmXNDRFFJ93OuLdMp2Jw/h HJjqOL4pRrYhubEjz8Vl+tE+Va5A4S0SMFit7KupEZENKWyq88MoYjKbvWkF K6C2qxEhZNIBopGTLv6EEXRbgyvZEn9/fta7p6P0MzwkS77Z196E7oxMTNEm kGAr+0BCinw7+CvdvtTKWoRM9TvSczUxWPwTQfvItBHknfKGfkmlo9832+uS MzHIc677UM1eC4EFDs37qjFI9FIDb2s7BrNEzbtR05+gR+iRa+5SKDI8051x Fudz1ixb4PGVUugW3MZYUCDq4j8f2TWLgRkD13C7bRGYRnpECFj5ou+Z3f7O OJ8cueWbDTkFwJMQ2M4b+RadsDtbvozzuab3Pq9QJRe2DIf+CUZ6IuqOx68o cT4jFWzDPKnZUBC+1eR/3APR6bkfkf2H61YwSNGq5TMipIwP+7/rR5lbE+bi 1Stw7IxE1ebXBjRqIK8RyvIdHTNaCHBKWgb6X80nTcOGgPlrA3+FxDeUJihT NsG4DLl6hxR3yIdgN/Zp4D+6GnRAlhqzFCLB+WEurxdpncBbrfpYVT0dLSif PfNUHoOhiMf3um42QWPUZPjCShjKz3UL60rDIJcYzs/cWwvUT4rO3hf3Q81x BdKNbRg8tNNUZ7pVAYe5DV5d+O2JZvgPjU+OYeDcl+VjZ1QKXmqvXl8luKGj d0hvEM7t9K1coldYEWy7hI7cLn6NZBusatxxbvXBtCISIwXQFUoerjTgjFCb /PkNnFsaiyvbmn0uPKMNj5TzdEKkj4RoRpwbq5I223BFNiDhdsYjHq+QDj1B +QHO7e1uLNfr2iE0Y8yWMH2qDz2zFbx+4TKun6CbRHM0iCZFD+nFwBTy7Gnc e8GyCIUOlvPdP6dh8Na44M6RcXSafOj958JZIJsqPLt27gt0K70vpqkNRfyp ppXXh1bgFsWxxsCMLlgVMOgNDLcAHZl36sW3MDjz8LKgsUMTlA9ZETv0TEDj 5zOl7lQMGCz+o5n/VQss7z1HSm3kwUFct2QY55YQQqU7K1cB/2lzrRygVECv 382LHsP1NhuU31xrXAqiJolngkOeoJAfaVmrODfO0QppQZzbpUPPsuPyjZHC jb2eHJyb//SBJzbDBTCfVbba0GiGZLXzmNhxX0pauto7jXO7L7WsuhVlge53 UKhcwLnZUmsNESqzIe7bicFyPyvkeLM22gjn1iSYm9SURoAqineLic3WyPVY pwG2gcG93T9aFOML0B1C1+seMQGlLjHlXnrfgMbMmCtaYQRoC9atOBKrQUn6 +tbN7hUAQ9oHXLWd8IwqEkx6CaDdymK/Ko3BD6+fZupkTaCi3t4hpBUDOw33 a1kyMDhBd2X2jEUt9DGLXgn4FwBl/35fYezAQMXv1Nj9jU/wVKPFKkzWFegP rjL24XyqLRhf6F4thdLpeX6ihA3YZgjvm+J+pXS67GuwTRGQkYgBwfo6cL2D 5/EGzmesfOXwtawC4A/JDcpivwzmY06cyjifOIYbbxzxfnzJ2rN967EC0pHT N3mM8zl3ZOJ3Uno2RPfeoeLR1UTyZrzFHjgfqzJGbubnBKD2yFuyNtZHJtu2 olybGGjuDaQXv6xDHv9OvEYUDiA8NnWqrAUDqK4SJni0okOqBaFXSe+AWtBR /IM7Brt+I0K62sPIPqWwULi5HKr506P4qUnwZUChwKg7HULVFk2ztmZAwujM 8NTmAqTmVhtxnuyHQqe9ZqO5dpiYSzvIJ0wCXTE706XD7fC5cPmJllwpkAoX jpOpYhDb8VedY7EBtEsP1xltfwCpRL5XL7Pxvmu86Eb7uAY+lTnRpujHgmz3 Vr5BFwZXrMi8A9Q/wWxohSjdfjDsqV9RIp/AoD1dINC+twT0uw9Q7I15Qa/5 tRJ2fO4zGFaxtl8qgoyY/cD116+AxqpX5Rk+9+3vqFouKhWAAeuBc/EjFjDB 03Y5FufMmTmW6YfPhVKa2uSqv7pgdaNXwBfnfGb7ISbrkA3VP7nibexkYCC+ Q4KAc77Rlze3ZEWA75Sq3XG0F9HWK+oCbpzz06uxy47OzYhdY992/VQO7AtH avkGYfDf7cp18sQexPNo48JgbTPkC3QkuRSTYKZeQGGhJhYNUTBUiV4bhQdn 7jGYm66AvWTvH+3uVkisuJzyPLALLMXSfv6tJEHAjXNirzSb4U2JgkU2TRUk Z33q77fEfczoOoFPux70GZn6yKzyoH27k4qHiPfFiXy+wZoquB/hYP/xXBqo sbhrRfTiPs9zXPq+dTnMnypcLduKgkCDa1pxeI76miu/SZIsAcVzshyB54LB bHg1ag/nObN1JtiklwgLNw/E0KW8BcHKpFerOM/W48w7Tzvy4aXjD73nWi4g 9LAxZA3nKZqZY4TKPkKl3GbuhPwLSOHkKWjBeXayc7zJvJINYTY979Ofm4BA 0LnMQZwnf5K5naBZAzp6KXUwSr0YzBLTmbKS8byU0JF5IrMJ1cVxP39t0QJZ P8vTKAVw/esFUuYciUULnxLOSY70g7ppFxsDzud4LLWEyJtaWKl/PrCZ0gFX hF/3eHFjEOwvSqfyvh7Eqf5LJCPWwGlLvhcn/TC48I54YoSjFpi1f3uMDRNB gGnmASWePw+/eDU1118Bwztlu6wXMyGK6tnqkwHcD9voJcmVy+DL1LN4+cOJ kBSut+/+A4OOi/Vzy37FsDHvHXvmZgRsVxkv0S/iPrYbyEirRgSlpyZ5s0uB 8KQmRT6ehMH83DOq1DP5MCIkqRlw6C0sFdNt6//FIJrPKchL4iO84DBzmvnq AjVblUX06xi0DQbcEh/JAq+NZ3U8OXbg+ZZemBr3PQv35kGl1SokwbS7y5Xb BBS71ioZthgwb3K376Bw5N/sn3Hbugtu+oV2yd3GoJk6q+DQhxJQz1kto4to hWudbJn0phgoTO60LblWQftWfKcDcy0o3so3r8D5O+2PjrTZV0I+8XT0HfNi 4DsSaX+sEQNKE3uJ61Xl4GG3fE/vWjZ0kLaOvBzB79cg6Io8VSncIhvv2QpI hddPLXjip3E/vHWw7UdpEbR/mo9nVIqBAeUgD6klDOReXy18FFQIDRwZuWRN oSC/lRCmhmEQ1jt8L08jDxQDdSvf2/qD0r/BzjGcD/lRP+j6mAPmp2j9Dy97 Ai/ndqMhzmd/4dgvwc0S5Pt1jtqhuwEObozB9RgMJC/pvrtrGIR66fWqxSRb IY9uvyrBC4NIX3SZwjoXfuh8WfXIbwKy2sdc5eF4vQ35Yhu8ZXB58vDHCN4a qN7koTiJ53aHnW3bG4fKgfs+NjDIVQJOGkstaXhexcqqJVriSmFm+bIXt9JH kCJMlUfhuUI9uszLO7cYPNircuz90yEy28Kh5ycGHJ86bpb2EMHhNGWxaUM8 7Gg3f/NbxkBAiH5O6H4BcLaP0+gVRkBRzKfB03iukFOt8zrpkAtFdebfxJ4E Q566yHm9Vfz8sZkpvmM5wOx9nFE50wce7/5kKcE5iI+GTKayfgDzhFExUfEG MCmQfcRYiMHfWfZqLaoiYC44U3UgqQquZGu1Pm3A4Pk3MsX0rWIIjTKcjxMr Acm/9KbSuM6vGKsfIbzD/z/9TqRiRC74rN1YDcb94dbAaDCFYhGUKTOm8VF9 gLpBtfMUuD+kOuzKjZYVglxCLbtebBIMq45d+4rPtfT4g8be//LAbYywHCQS DbOO/1JX8bpeMZNZPw0kwsGd+QrWv8UwMcp2VO8rBoqW1zKF04gQqy1Q5yKU B8NBXZuSuH60xYpehdEQ4eZ4jfwv8kzwFqt+sL+AwZ6bIRv1TgO6KGvvUMfo hBR+tB1KK8Dn1/Kjtc+DvahyqeLk029vkIOK5Y9sOvy+JEV6h3R+oj8F6t9b U9uh+eVDztCFeXDTeC2xUteK4gx8/3NlcUPWd6K4TFwx6AtInhderEWfaC7N 0d+zQ4Gqi5yf8VxEw6nI6uT0BX1YDqfSE/EA5Rht3q3mFYjZdODaNBpCb7co 8xa3mpFo/GGGSz9WwM7QWrzraj0y3e4hiwn3Qb2zQfQFtXhdb0VOMuw2Ic57 ZuuRySFovfu6WHg87p/PFT0fXx1DQlfbqYc5htHfdnL0VXQZBOgtdjboO9GM 2kOtfpdodMJwskPvMQaXjYdvJKYPIPtT5y90nEhDK3OBhtKxJJBUTj/gV/Qd cfD4qcdeIaBIumRvruZlCBNLLCHsjYK+08DnYIEh2PZMpqywWwbxnloZ5/ke COhl3OIzXIB/tH5vJ1VmIDBZhKzeZx4hbaPjORXT0O2v6fh6ZRjIC8p3cjNr UdNB+ruLGl5oX0kgIgjfU1YVPlpyWk7BtAhP39lhAojS0B8r6lkCC//zv4vv /AAhQUzMCXWAUcYX2O1YAr3/iG2G8lMw/nZ3LKVmDEY9nzh9MZjH8/aGhc3Z NnRQubeGriEZRYdGHJJ8ifcjvWm8Z9VXxBzFSuEvVYUcdYL9MdUV4GEKzGC8 /RXJr6npE4JqkEuB19qcyQqM/Rj1NegZRBv/dd4WyWxArf6U8ImDBGWzqp+K OutRT7Avp9KEB1oQZlT4VYHnzPq5PJXVRiT47pzZAf4I5Kq7mSX3AYOYuY2+ rPFRZLnA8vOaSB+aD4RPD8/8Ai9yJwPt1i50LsU6z8MwHO3NMcs4iuP99cNQ x4i6HzFXBF6IVyQgkX7GdPc+EtDqN6jvxk2jQvm/C2+40uCG3FLsqYNLUHWC oOF+cRGxuZ9zctkPh7O0bNdOoRlQfbDGEqBRhxwD0vNXKMMRV79/wnYzBo6H aUN6k4ZRp7CKs6hSI2rx6JLkaVmB+DyVeqfWBvTEri2c70g4IpJX8WrgPlBF 4U4p4V6LtsvnqB4EByCaBeGdLvy+TBU9dpsGWlC85cdFxe44pG/9RtrCBwON 9TmbUPZRJL0uxaWs3oESJodtjNAv8N0ua/gvZQJ9n7NbV5UcQGXXhQo3vy3B cNSFk7ce9KI77AyCFZ8yUYyOjqo1PQYpiWwuQnRtiPEeG6+eVCIKFaVU+OqI 56i6BiadVVzfL707J8eKUedftm2zjRXgUtp78EpsDjEwpdAMfWlDihpR58gl 5qDP5x67jfNXdCGeVmhutwzxBXu2hNiugAY1k6ddQzU8yRY1/ny5GQVWq2Qn meF+eLKHT02sAqRDxNg7NTqQ+t898YeieN9xBjGrTlaD3N2UHWvPanTP5eCr hBR8T/zCGzN/sBj+yh2zm3uWgjTeW9T24/7W0LB/f0uYCPmdqpQO9LHIlNOC +gGef7LGpW9luBaAf9c6xROXSBSQztzXj8+v70F29bTOJQBJ5bauND1oNjM0 gY4Jg67nUtoL0s6ob9FvU2qiH80Gqv4VryKBcAXnjI92PlDnEY4WaYcjGRUt get4jlKbSWJL3P8It7l1iZbSQShiokd3APd/n08jJvff1aENSRLdy7h+xK3M vKPgR4JLj35yVzDkANszAbtfv72Rzwm3TITPhatX7ivG5DYhXkWdpj9pfSia OX2u1JMEnlXzbTpf2hFVRaouY14PIjvFoUTwIIG5G7F70ycb+klF73iJXuiP gleaFJ7TOqfpXlp9ywKHlwxTUybuSIEuzmocf79X1n1yLbkXMXkvNkzntCHy fvH8VPwcm1uPun+wZYHFJH0i74IjkjsvkhiA5xbHLf/6JeV+RLmdOEIh24go 4lT4kl+RoE6PP5z1LUJ0I+apP0QSwOb5Rmt7HQaDxlZZdDkE2LPS3St30gVH 5ytj6/g5r1l51c4vIaRHE0h8+SEPuEl/XfhL8NwuW+XPcS4LFNQraxdf24Ln ba7z7/Hv523ti/7u16EvghtvONVLQdZJJiw9BwPPLuFAuwe16AEDi3XuUgVg 8Se7t9IxSN5vcRKKyYK8fK8vh6RfwSK16oLA/88hMmf4rGVBsZjaWSmLN+D8 8/bnIZxD/1b5bvsxP/Sl0C+m6W0T1PDcYSvDdcUS+UhNlMEXlhO7zeTSGiHT nAAK+L4TixmJOKKP0KoTFsSiEgrJ7+31WvD7ZX8a3S1llQvcrr+vM3eGQxlv u+Y3PP+sNAxQ2WqmwzH2/LdG7+qhRjWbebsMAynXIPVih3wIVP6nfd2oEk5K /jbawfdTAzNxoS7tAuAKa1nnk0iBEdfQ9y24bsUqfXge+uTBObcdyme/o2Ff VCZLFNfbqPHmoOnvKohwnmI6vtyCWunYbYY1MVirTvaq1qqBDwH1x71661H2 XnvqLV88D98936ptXg2Dl0J0vKUqkS0ymSjF63rnG32RH9+/1pSp9O8sJSDt ir4jrnjeY2ngDitPIQBr5SnqRu0+FHwnc6lmngQpaVKmzu/LQGLmWNqxqC40 axi2V82Fwfu1TcKgeAmaSR2f5hIfQDsyN569iCTBC+zqe5mLbejJh51V30Of EWlZ5vpJXG9hagNJ+QwNaODSJDmXVD9aV6KnL/EmQeh1vbaa+S70g2Jw9H5r J1JdW0jlw/XvLMlvQGeUBfGP59N8XF2Q9rA0nzx+v0x+9lJuhM+o+vzE3TSD VsQtmpym5E6Cc9z9qqvRBAjl5Hv+u0kV8u++PX8Q3/sY/3C9rhpHaGj+6HW5 lAw4ayWVIlGF58ztsBsOUwQYY2DX5MgyBTf3xePt+Pkm65m3+Xuz4P4zv4Nu Oi7AV1nvv4nrZ4qqAnt0LwvKWH4KxHfZgbWpt6I1/n2vupWvpHU2niPmqfmN PcHw6XFvPfz7ku0UWxuyXHh1vMr4rWwY1Ob57Fnj+om1WvdUpvwIoVwXDf/1 vQMzBg/JbHz/Eho4yRDemQPSd54ITpTWwCWNP/MTeA68RJtextJcAEIPLnOe qEmFmJciE5/x/EaXgbRCDfKhl9XcOT4pHj7c23Wqwv0tRPmTDBdXHgQP7bhu PYuCCdPu+mFcPwvfPvYaWvejn7vTPzn/NKArq22sIo4kqHCwlz30fgBNyNzZ cBKpRZY8x5hZzUiw9y86ZfXPR+h3eiDryxCEvKlIGT/w/xfn/+xEn1SMDPRY 17/yN0LIJkXGVTzP35V9Z5x2Yxid02Gz/n5tCplpmukl9S4A09UUbS7hRWDU OtJFo/cdquauTUssfoGrIcqfk1h/QY1yyLEZ/i9w9267TB3nELwfCyXStwyi AzaHC79VTKHwxK0n1+sWwEdR9W6WyhQsaJnZnpWfQZstdpHbTdNA1W4W8Ht7 HElvbq9fk/mCPo8mpvoeXQKrF9zDZJ2TqN41WcJlYRAtHNcytRdbAqlLmsN2 gXMoiJvgyV7ai4i0olqJ+rNg/NxRPaJnHF28oekmbPEF5bWXj59lXAIm40CZ hfUhREErKuemMIUCq8L5AK/rf/eCYTc= "]], GraphicsComplex3DBox[CompressedData[" 1:eJxlmHk8Fesfx3GKQlmKFs6MXHWzVDdusuVx7ZFbWpRwsxOhRbJ0o0W3VJLb QotKZb1LiTbqmQ6SNY7SQpYSZc0SjuX4zevXmZn7muev83q9X/N6Zp73fM7z /X5ngWfIeh8JMTExBXExMQ75a1awI714eSoYSHCYOHOzF1qfndW5YBAjYuVm LIyVfA0WvHe4OznZC+c9SipbMxsnGs+8q5nx9hN9vdVa5Y4Ly3DCabRL9VXi R+gbejv5XlAnLNYzrBxNxojEpWG8ByF8musJAq5IF2IEdV+KKwi7qvU6MCLV zVFHa7yO5i91dXRTZZn7UnzxmYNHvbRwIszomTVn/leajxfNfKtniRPj2ldv Rtt8o/lhH01hzVacMHBfbOelMQhXvLQ6GOTSBv8YTG/ebo4RXu9T3lR2d8Ms mVkxQfVt0Db/xRe3TRi9L4qrF74Y3HaQ2RfF/d1aEnPvMvuiuERC5Q7fZmZf FPdqebWsbyqzL4p7mvRdPbSQ2RfFMW6l3y4zZl8UN64Kv1y2GScOccMlxkNH aV6gN71pww6cmCbn6B6eOgmo/b7xutwTcIDx0JO611dj9Qc4+ldUMGce44Hi jTeK6hK1GQ8Ul7/1akm3H+OB4oPJWUkZtxgPFC9Rnjpf6g3jgeJvtTS6tosx Hih+ZFmq8x8LGA8U/03X2919FeOB4q1WPx75dRPjgeIJSnMcTAIYDxRvCD0V VLkfJ544imc0OQqgz/9zUg81VuWsV1HAaD8Ubzow1Se/iUv7oXj8Xv4S3giX 9kNxmRV4ldJaxg/FFe35zpIXGT8Uv2R3P+5iDeOH4mL7nNRXj2O0H4obyBYl ncYYPxTHi0xy5I0ZPxS/Y1lc67uB8UPx/g/37ib7M34onheWtcclCidsxJS2 jfpJmFG8bdrSk5onGW/fffJh+lm7Ev82LitXfDhxCV/ff57LyhUfTlm4753N Ay4rV3x4WNwFNzJi54rkFmkBJonsXPFh7laO4o1Kdq74UPe2RjFPgLFyxYdf i3a056iyc8WHVbYqIN6QnSs+/GSapTx/PTtXfOh3yLUvxI+dKz484pu+wi6S 8UbxX79Njdc6wfbGg97zY2x0CtjeeDBpZsDu+0ZsbzwIHp5/EOHF9saDpU6t c4hlbG88GOl/+M/802xvPFg4L9MmtoLtjQdvpCkdEoywvfGgVOP5E5MqbG88 WFy4N7/JgO2NB0MqjpYGOrK98eD1+MwJwpftjQdXpu/8eDGC7Y0HE/2tg6Pi cEK5K3bnscopNE/JOGKbkoTTfiDXOF/fqiVft3fTu2+WjB+Kb6o1zurVZ/xQ PFV/0QnnPxk/FF8ncCzcXsX4oXh5xJ7I4f/kiuIyV0Pdwv+TK4oXlY90TiVz NSbyQ/EYvYuyrqSfgyI/FM8tG3h2kvQjJfJD8dknE7Y5/McPxb88cJFXJf3I RojHPxBSfnRBms8To43JOLFF82PZmKqQygMIMtWzjOjF2DkECuOeWyMLMXYO QUpgr3PLTnZd4IEZH44WSQ8gOQQpbR6PA9ciOQQ2T58G5F9GcggqFAIStWqR HILWvRrVWeNIDoHT9Oy+WRiSQ1BoiPmPIf9fHsi1kktoR3MIYueka9egOQS3 fxg3cUdzCO6ssgmXQXMIGl/Vn5BOQs5DEOIQfsv6OdsnH9we6Z1yKpbtkw9G XAxfXrNh11k+GDszH78QgpyH4LZr126vLOQ8BL2lcvLO75DzEPDu+GW3I3WW D5SlMrweqyHnIbDdZjeQa4ych8BQG0CpDch5CGx/FsjHoechOC1WWF6N+OSD cH1lvk0cUn/B+VL5vz1qkPoLFisdimhPwdj1FxSfzkr6HImx6y+wLlh4zPQ0 Un9BkMJYR8AjpP6CbMVrcOtHpP4CvXTF1SGSOLv+AoOIhitOGkj9BbVXC9zV TZH6C37MdFl0dyNSf0GqndS5O2j9BZylT/UuRSL1FwQMih+sikP6N/Cpo4wz cQ/p38CFXbuN864i/RvI1ZVv3pWN9G+Ac6DD26gc6d/Anjkv8k51I/0bUJzX 9pdAFunfQMlpl6T8xUj/BuwixRuW/YL0b2BlYPzURiekfwNFh103m6H9G3B7 vuTSoyiknwep3lpPDMqQfh4Qcr9tCClA+nmga7Tv2tdCpJ8HwyaJmRX1SD8P Kmo9TL1HkH4eKHoPDZvORvp54FlhW1e8BOnngVvV6LYSS6SfB/pKE8JIZ6Sf B553blYvQft5YN4QZSj+OzJ/gaztpdbGb5H5C4jp/HIjuROZv0C2jP32XRyc PX+B3zoEQKiCzF/gfWfN/rV6yPwFzL0KFvJtkfkLHJTeVx7lihOseRMkBlvO i5/B3Fc0b4KhHHNjcQ1k3gTrPUNuQLLfOFTWXXfl85gotzkgcOTUgzvvMWLs zeyIBflDNG/te9Pw6zWM2NturHLrVB/NjdM9tmTMYNfBHLAvNuipCZmHk5JT k8J9hDR/bSC3SrOffZ7ngHXSXzPad2Ds54HOyaUVgk9colXSu2dcb0LEU8HM BgeZRV8wQi1+HzS9MkpzxZg9Hpk1yPPDZmVpfy13LuGqdCIhRnKEvj5eaUtY HjlvXryc4sEL+UZzpZnG/1jEYUTdDzm6U9720/xukVqkozVGNHQWRzoSn+nn P71DIe36JLvPzAGZBXPTbDK5xKzsYo61+Vd6nTDTidjeWC5R/7tD+YV9Qpp/ MHyZIDaArA9D0nwSxRq5NP/et9Tkcxa9S3r5mUtc887JlNvcSa/zyOOSf9gT Lv1e3nzYOLJSEA3sNtqbbi1i/FNcfHavtBdZH+9dfhR6N1kAt+fH+3jnRUNX jVljate5xKd5Fic9woTQ3vPoQ8ecaCivvVpcWxEjuIO1azYsHYemHv2/CIoP gJwWbFkrOae3XZPy+Jw6BlVE3PatdrZYA0YUStrWy0gz62d822u55wyXuCgx 1lMnNgxr3b9f3/TqSf6PaRjx279LOTv2DkFctA5PJm9V2hWMUFRQP7O1tg8K RNfnntvVpqeKEZKNScZZO/tgVbpCvd757SBmQ6iktCRGbAzYf3xppBB+/Pt4 csTjGLDJwG2j5wCTN5EHmN1Rp2Ncz2VzcCHhkVR4I3nfA9zNt0gPrfO6B1f9 GQ0MFoEmO3Id16h27rkLAsgXPY9xxpFNgSXM/yJhU9XmljvRMGWncIl7MpfO J3XfU2uKprvaIhw8mGrZPnIdI9QXq+hqyQrgmGj9v7o98vWfkvk8PpOYGzAI 74i40asSZeFe5n9KrWNuHeA6TRYjLumbv/y7cQAOia7/rPlprp8/c573N7Vy Elu7oGH8s8xA8r4v/jlz78vrL/R3J99h2eftscx5OF397uSZmz1wYMD68jKy z6fOMYq7lg1o2tow5xi1vpJnZsCAC1l3ju7qmx4wQn9fqtj13G3Al5lHzt78 sLRevwMe1t0n9CPzWa2osyUgZYD+XvTY3NuhzRajz3nq+n9ve0ksC8aJa083 BkerTtLfc95O9kYX7ceJ/rXCTQXCYfp7S/UkJjdtOUa4R8+65/9E3Izi+lsH 5/58nOmvfu40s64Pa4ZmV/4+YKOJEbIZwaMpk6P0d4nIcocrPYswut+grh+N nXasn5z3g7Ptp70z5dDfASY+uEyfewYnjuS6nJ82Nk7P6UOvj72KVMeIrOXm dfEmU+j5t+N8Scm3c8g8AnsVTxz4QOaftQ44eFPizvt2ZB3QNhY40XAWZz8/ MPHJK7Inc856ThA67B+RdBrxACQWpUY5vsHYPsH5prErK2oRD2B4PADYkfM7 yzMQn7Z2/MQfyHsHoz/lzYKVSA5BeM+Lawp1yHsHb9yudtcFIbkCR/kpii5+ ODvnYKJrpo1+E5Jn0LE2rYczhOQZzE9pmN1pj+QZ/JVrvO2UG05wdc1OuVd8 gu1Wy3/V2N4FdzvtrtmXjBHSFYFzs13ew+thuovq67qh+AvFjTceYsTLba0r z24oh8Jzvu9s+3tgw/FV8RakT8UJXZ05Xv2g3WMyOGisG8bJeHdfX4cTci1K 6v8s7oPx5sFRQeWf4dDP1alD2zCislBysM+5C+6KKA0Lyu+ArZe2n1Mj+/lz /J5oLachyH9b7aFh2Arz79sv1iPn99RuLfdbwaPQe06ORKL3ezihXKWqtpB8 j5Z5eX1/jEBBerxF/fkWaBhd63dLGyNUHx5Y1SA7Dr3TI6KDVF7DrMElOTvU MOLxHPtLS99xzLyTFXtt19fBHilpfXUyV5ctDF2bHSZgxuz03HtLqqFnXY/1 TAwjVgp+ejjqM8VMxEFj7LOEJ2SeM2KC1Gz1yfW/rwN8l+iVmX3CiOG7tZnh xeT63+8LePdvtW5JxIkWQY8PhyNhJnpOYJo6OWMq+T81rNI0dhuSMBPtC2hO r/k8Lx4ncgmZcrxDzEzkAfhK1Dh/OYQT9+R15GdmC4DIG3B9usACBOJE02lT g8K0cSDyDLYk6FTOD8WJKYaaW6adrYei9wIeVf++oojsAy/stTOSq+kGovcI Sr+sqzcjz72X1y0aJl/2A9F7B811nRID5PzSXPLc1cp7CIhyArLerpne6o4T RvUphU4/CqFqbfqYreJT2JAXVb2O/F9bOb+wDwgXwkznOK9nqTcgb66G5VZl jOi51br6quEk8LQILcV5bdBTe23pMrKPxYbz9eLyB6CIg8Wm6R3CMqbuf7tp 8It7DAGDvNdkzlpO1veVj2R0zHtgyGBX88EHzfkU11yatef+uR5oYhvqMfPY Ifr6kjWPyl6PDMAc9/FAl3+f0lxKRXan+vpeKJHxk9W7dEhzFYuoONWqb9Ck ZcprzoF0hmuvkFuweAhecwrdveVzNM3n6u0/sj+kDx5WwJ3fDLoCij/WnbTL rfgGy4UplzmvM+jrJcPztAe4g3CPl9oRhwJmX/8DVOlEPQ== "], { {RGBColor[1, 0.3, 0], Opacity[0.66], EdgeForm[None], Specularity[ RGBColor[1, 1, 0], 20], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxVlnf0kGMUx+8voaFphUJKVGSUzBSyQ0bSkF3K3pVRSLJHSmYyQ0YiW1bZ /GHvdex5OObh5H7O83nPmz++577P897n3u973+f53qfjwcfsdXSjiBjdELFU 2mUT+RjMtU4s41wT5/BpmWicWDrRSotfmyV82yWWS7RItHWuaWKdxKqJ1RLL O9cscQocEmMSq7iupX6t5NLBHMRbXUuMNbQrGLula9q7jjWdEislVk501sJx bS05u2iJsa65idHN3OTsk9ggsWFiI+N2dryW4+76wms97ZqJjfUlZy/zUY9N tOTsak7y9dS3izk7mqP3Er6bauG4ubnJuYV2/cRWiR7G2HoJ7v3kRJ6+zjHe zHjE2sb38N1WC9/ttHAZ6387ItHfOXjtYCx47aiF1z3y2CUx0Fis2yuxvev2 dI7xbnKFy66uhe8ecmL9AOfw211f3u3veuaG68f41sSsxPWJ2xM3JWYaa6Cx h5mPNfv4DTsl7krMSdyQ2Fu+vLvTbxqSGOoz60eYn5gHaMlxoJZvPTQxKLFv 4iDnqMfBWvIcooXLYfoOjnJuhsp3pHP7JUZp4XP4ErzG6DvcfzbcOh2phe/R coXjMVp4HauF11H64ne83wCvE+VB/pO05D9ZC98T9B3pP2a/sFfGyQku47Xk Ye+zf9nHZySOM+epvofvaVr4nq6F7wR9yXm2PNCbic7B90wtfM/S4ndZ4pzE 5MQk1411PE6O52rhMkULl/PlOsEYY11zobnJeZGWnBdr4XiJlpyXaomBtqFP 6NTl8iD/Fea7IDHDWMSY5hw5p2vJeaUWv6v0Jc91viPG1c5Rg2uMRYxrtfjR K9B89J/+0MQxfaKp46pPtNSvtWP82jhu7PsWrmnrO3oDuo6+N4+i2+g4vaWd 46a+b+u3TrC+LaxTO/OtZu3QFc7XQGOh2WuZZ80oek1uNLh91P2mQ9T9o1PU PWNt464T/9f0XlH3mM5R96rV5bKuvuTo6ph36G63qPtHd3mt7xiuaPgGxkWz q160ke86GKOr+Xvq10VePa17e7lMjbKPpsijt9+AVu8cpe8Rd+uoeyB2K/mh 7ZtF3Xs2l0tf15APTe4XdS/ZJuoe1lt+/VzTw9hbRt1vttWvv2Pyob3bR91j djD/To7JjQbvYmy0v+oVA3y3qTH6y2l3/ci3h+Nu5sO3SUPh1qahrEOf2U/0 kvmJBVFrZaWdWLQJjUSL0C/07wTHlVaiQegzWoHWjHQOv9HOoUto5Dj90D80 Z3zUOnhq1Lo2MWo9Hed6tOUs16MrlbZN8l2lg6yvtJu5EeYj3v2JJxI3J35I vBTlrH+feCHKmf418WYU/V4q6/VdFF35N8qeY7/9k/gsimbTi59NPBKlJy9K zIvSq59K3Jf4JYoWcHaftOa3+D/4L83T/pz2tSg68VPilShagi69HEUzqj5B vejd90bZJz9G0TW0il7/XOIx/xPagqYfYK2r2vMdVR/ATtYPTT7Puk+21lUv r3o7lv1CP2dPsEf2dO7AxNwo9w3OIfuZM9nH+twR5R5CfWZHucPMkTf+1OO2 KOdoP79ziGvmODfXb+cdd4eR8qjuDdU9YpTvOBvcE6r7FHaYtRvqul2dY8z+ eDrKfqnuGdW9AztGLnea5yb5wYUzvI81G6Zvdd8ZLb/qLlXdrbDVnWuEOTk/ E/1/N0Y5q4Os20xrvzjxZZS+ygb4OkpfbZTP30bpk+xL9uTt1pv9uDDxfOJR /8fDxqzezzZPs4byT5o2lPyzzPt24p0o+j7T9ZyBqmfTd9GUW+VNjnnmXKj/ bGsGB/brg1HOC2s4G49HOSvsg4f8H/uajzq/FeWsck5XTLwRpec8alxyvhjl bDc2/x3+K+4Q3Be4D3BfuNpaceZejXLuLnEOP84SdWCPVneR6VHfLbhrvJv4 LUofGCwH9sb7iT/8DtZd55pB1oZv4vxN9T++HkUv0IoP9DvUGhCDszHftVWd sHcLntkvnNvL/D5iLzb+V1F0jW+e7Bx+1R2O2rRoKHlau6e+iLKvZlq/wea4 RR4NDeW7ZliLb6LsAf7lAv8t53WudZzjM+enui+S+xm/k9zo9ANRziJr0RDO 6+dRtBj9qu6g/JOPEn9F6VOL5Mmer+6s7E321yx5Pet7vulp81Df5/zP/D96 M+cYzWO//x5lz080Hne396L07i0cT7NWExyjpx8m/o7SXz+RKzzR1D+j6OnH UfoK+o7+fhpFj+/x+6nbf5MfrOA= "]], Polygon3DBox[CompressedData[" 1:eJwt0csuw0EUx/GZpmhdu6C2LWseAH0AW4/QdK3sq2vsCAnWEk9gZ2flEurS StGgbkHcEneJ+J7Mb/HJmcx/zsw555/O5kdGI865XkSxjWc0I44d7KFTe+3e uXXiCtpY/xDPMIExJHz4NoQY6zrxFwWducA5xlFEGW/oQRqt5GSIw/Ye6w/i MQbQhxa82DmUsIUnNKIBG3jU2vrZxavVqpwv1FRrFin1to8und1UruV84xQ5 1XyFJuqaIk6rt0tMqsdDHKlWu/sPt1jCDK51h+XOqfcDJDWDd1Q0i36rg7dO iINYxieq+mZ7d3A+3DWPG71pb83avHz4FxnN9t6OExeIizYnH96wu1fRrRmX NK+4D/9iDR2sH4gRH3Ktp39kT0bP "]], Polygon3DBox[{{209, 262, 21, 210, 20}}]}]}, {}, {}, {}, {}}, VertexNormals->CompressedData[" 1:eJwVl3c4lu0bx41C9BqFvEKZJSlFvco4kyRlFMpKCFFCZkayMrIzU/bee6/L Y49sD8rIyM5zZ0VGfvfvr+c4nuM+ruO+P9f3PM/Pyf3UUtWYgoyMjImcjIwS //Xg2yX/6lAJApLsFiUSxchJVuk2cz0GbyRpm3Tzy0Au5ZSdRG82snpqyJ04 gAEqZ71bLVwCR8ju9X8rSEEXdFc9v3zHwFw9jjg1VwsjrtZZ3gFNqM/y2d+V xxhEiDDHxMghqG2m21c5WY2yEhnuQTgG2hEqm0NyNaDS/mn3yHYh+q3bXx1U iQHbabOW0Q8VQL5H10JFlYmU98VptXoxIBx93Xv/dim0xS6uyJglIVXWN04a ExhwzPb6i4QUwUuuK1tOLjEo906mlMw8BoKKtFbwpAA2DjuuZG1EIqvPEsTz Kxi0l2do0J8LQ59KxF7fZ+lHp2sF/xQVkED3Td5jgk4F8Gp/Ibzg7kWaAZcT TvWRYJJqge/VkUYYCDlcLmDfjGgv+b2MvojBjnQ++bJOA8QZzbyIiahEmbtR 3765Y3BbMuGQjB6CN0KVbu0d+ahaS9RarQiDsJzPld6aVcApq8i3YZSK9v1+ a6t0YeDr1lXqrFkG5Gn278ip4pGuzlGuzTEM8lVWh4ShGCLWmfMSZqPQFYGw nrA5DL69PuSwMFAAGr5tru8UwxAzDw/1wE8M9n5cmGjuzQUHTEyw41wIymKQ vnN8FQNL+q801A1ZoNFRrC+s5o98/EOFjm9gMPZGJ0LmZgLy8ngkGcFHRIwb fgYFF0kg69CzbchGAK7Aou7jK/2Iyeb8PLpFAuOpkaARnzbQ3xj7lBPWjFKP Xi3L/UWCYp2lRaVHzXD7SuuwkFUZahVm0jAyx+ASR0HfOUECeLdQLKyQMtFQ kKaPRTYGcQkuLzTmqkFI2vN1yHICYvANOFHSgcGq7+aYqmQ5ULFyaf149BGx xJpPjI1iwCe0J73dWQyB4h3JxQOhiE7Yzp4Z5zAlPXiQKlIIGjHNDzWrgpDG qQL2SJyDAzFbM/5BHsiprSocsPih8VIOs81f+Ps4eqyuH8+Gas98NfVubyR6 Vf07Fc5B7mhq293wVkRp6v1CQrYPxR64CuVLk+CZOv/Aw4cFqO1OFLEj5Ss6 n7goaQ4roHySTuOScTscXnCP9E0bQjL//RPzEv8/iLbfpr2kB5q8CJG9bY0o SnFxhu4zCWp5jN/Ey7fh9WH3soWlEDXtVyVna2KwNHGD7oFJA1Ae8ulbkUlC 1HrX6uJSMbBvPJZazVYLY9NCbfvqUejsDc6zLW0Y0Lvl+oVPl0NI4D9vcpdC UJogIZUP51MjPrr84GIJ1AblbNIjP3RSjSWicxaDVOe9wbZXhXBMPSNYxNwb PSp47+uI86EmEL0JmXlAYtZvFQz3RM5HWkuXcT5yPv++zFfLBsOytd8i4e4o aeH968M4H7onabG8CRnwgJWhyfdfN8TMknX01m8M5EUC7po396C0+DGir38f Sv0z/lyiegUMVGL7tkcI6BPv3r0Q5u8omocvwCF2GRh+NnGafBiE4yMEwQrJ UZQoIls6zrQM/0koPdslH4Ql0gL9b/oatPWb9+fLSyQQIHJ7WCV2wJlqdVX1 R0loQZnv9BN5DI5NSZ7vvNYIdzddApdWPqBeIePQzkQ8/8IZgse7a2FmW+7s PQkflOfZfLOhFYN9Q6lHx6QrwHQ7w/riL3f0MWZ6dOIbXkdutTdtDEtgQjTb UyDtLZIbFHdGOLcrGaNuHh8KAauxHLxV5Ix+8bfXuP6/vta5YiSG8uCXhHH4 nX5HpKewKLCFc4uJsGbdsMkG9J02TMHdAZnZfIpkwrllZ88qESsyIL/DiIXM 7TU6oRWnrIJzO5/1XMa5dhDpjNamTnP1oitejBeELqxAi55xyXM0gE7nnX4U BVOIf5P+kDXzIuwSZ7AvP6ahdeYNz+7RMdTk9W9gT/4s3PgZfGmDfxgeO5XH 09aGILnZlrIrgyvgJqOU4pfcCeeuEnv8Qs3g6ZiIZpE0Bj5MzCpGto1g/DAh v13PGCx7rt77koDB9UfbR+Z/1gLR/kCY+ZU8DM9qFBNxbp+DqB/PylXAnjb3 CsVhBeTsPy9+As8bnVh2U61RCYj2hx6PDdJFdWJx6es4tzIdhSQRnNvH1vH0 6FwjdOy7UFcmzm3SjmbLkpgH5Ftop7DBFJ2l5zvGhvclwr9nuqdxbjJ0m8pH Is3QW5rfqkI4twKamZi0ygywCB3srfMxR8F1k5GGOLfLnh4SjYlpwD3btRjT ZIGWwxmeYls4T7vzOpRjC+DTm9PmGjYO1XWr5R56o8DHkX0nUmEIXLOlTU7G VIME1e/Va19WgDOL/xJ3bQfMztbeMO5Og77jubbrNzGQUmW4+4isEbbzcrpE tKLALySljjkZA1e31KfcZrWwXFsj/P73e5AJPn2BqR0Dzsvy/ypvlcMMgdX8 wy0XUNwRY+rF+VSbMVk9vlwCJdPzggWSlvAqWfTABO9XrsX8joGWhbD+xjrW XF8H4p7uqm7hfJ52rb4STc8D5+a/rWfYLsCzE/9wKuN8DLZ59+3xelwst9uR VlVAO4fWjFRxPmoOqmfjkjKAVTiLkfKxJqqupyhyw/kMqLDzHH+RBpqT0b8e GemjZHAR597GYPF4fVKRXR263+v8spXSFthPdXOVNmNge3ridppbC2ozyne9 SvIH8XjD6ymueL34DF16rE1ENvH5+aJNZVAtmBQhSEOCW+vqzEZfkoBdetMw /c8MGPPtD09tL4B1+h0NDs4+ULG2CTCca4PP6ipHzoqSoFP/6LMl2ja4tVPK pi1XAm7PWNnI1DFQoFj87+QiATqDm+oMd1LgJauMg10GXl/T5G/pVGuAeSzv SIL+R/ia1Z5r0InBWbLuW+8flQMl8dk1+oNA+GKzoEg+jkH/mIi8bXcxtLWp kZGNesDdi4qFbPjc/9q2MdsqjNcvQ3rgqvNrYNm9of4Mn/tPtLVPLSrmwVL1 1NnQITOw4zxx8SPO+V3DZKoPPhdcTaWyPq09hgUL4jlvnHPluoXbLdsMWCUv SFaxlgWB9FNSaThn1eSXakvmaTCXo2Tx7z/nUZG9RR4Pzvkem9CIvWMTIg+O t9rkygReM11t7wAMWKs1xshjulBeaKbpQG0TpBTUxzgVkWBQq91ovuYjYh3A wsXFvoJrvyXbc5MVyC83HdL+0gIpH+qNX/h1AgUr1+JaJQku8xnt22s2wVYt 18WMI1VQ+XxjsO8lBkL2GWlnteshkkJr4OBlDkj+yaThLcDnSJLvYn9NFazL 7a1l8SdCXQq9dlg3BptpQ42KFmXAz7n1u/hPBDzxw7SjcY/aeyhYikkVg6Tg teOh/IGwVVEe9hfnOWaeuW/UXQBO+0GRjPGeoMRT4bCO8/yvmM7gSXsuFC8/ 0n+h5QS5Kw+CN3Ce4qmZhqg0CyrltrPH5a0gnoM3rxnnqXzq0HLqxQwQmZ75 8OmFMRzsDKUM4DxTaFJtREwJqAC2hsMfFQHpw3fm9DgMhhbUieypjagj74yP s1kzbF3/GHf4HM656g59xtGP6KPvpKjUUB9wxSwyM+J83D5RkV19Uwv0r6F0 O74dHiZM9HjwYFDslYupBtfDvE+SHllBDZw0prHh9MH5XHwdNXSyFtKkBdE3 YgHsk0coHcb904rUozffh3vgRpwLy/lUYDx2aU23H4MJZjlXMuVSKBVQjb1N GwNaMaHkbpMYsPe7pC/7FAGB5UYUz7UwcCNkLTEsYqC7yeRB+7AADgiPc2eX /ID7avOdTyQMDv9Wqoo/nQv7be4a/lSe8Pi3zI7+Gt7HvKgVPSRxTxvfd/w+ 4gSzinuFDJsYVDCxUksMpYPOSdc63kxruD8uLkqD9z0z16YBxfUqJHlsf587 uxEo9y3Ukl/h3sjB1b6LQpHgYrnXDYtOiOQU7ZK7gff5uX5B6hT8fvk2VunD WuCOm0gigwnu+ZW6t5ZdqmCO3J/a7ngtxMueN6nA+XMn7Gq12lQCBWMG2+3n RdB8T97+RANejz3lkleqyqDD6duXJ2IZ4N2s9Y/dEJ6rPP48eeoSuKQSr7jz PgFEfJa5P01jQA5/fSZLCkG9lDOGUTEKr+vb7jJLGIjFDGL3A/JhVpkqh6wx BDq2NUMfYhjU7Rf/zdbIgeTR7IoPr3yBf/Wg4xvOZ6KntK4jKxOmavT9Di27 g4NKVONTnA9dwvLJS9vFaCj3g7HtFwJ8yuaSvBKFc74t76T4NADt3W/9el2q Bc4dWFR+9sDgS1huDqVFNpzuCF93y20Ew5X502WhuDcScq9vnSmFCxO0WWFn aqB6m5eSE/d2vfwFYXGqMnDMwxgHuYuhP1ChMRH31c+3qN80R5dAPHuGO49i FkRpSpdF4F7BX3VC9l12EcxUOQja+iaBtGGZbdcPDE6Wt18r6SoA21OHi0wI n2BXu2nUZxmDH0eFTUSU8oAmuoZWLz8M6Cp5iKdwr2h9UtbDaZsNC7/kv0nq BkLP6BC/3joG485GPIInMoH/2hajcqoX3NMpYi7GOeQS8/UTWFLATHfhpLgE AfQqElWZ8jG4wcR1TZu6EChHjm1TxFYBe75z0xMCBqb7On5Jf4rgPcsFwejr xZAvctP0Jp7zW01UQan+RRAgTB+lEJYNFMeubQbi/aHB2l2Z8m4hnA/Y5z5L nQIzyxfOUOL9gZfORGGkNB+C6e3Zn3yMhbsCjFdH8Lk29ueep9fvHLBrW10K uBoJymxr8ev4d90vr8p94lcArGE3HVnWiuCfBcF/9EYwUOzNSr+cWAB2gYUE x0s5YFxfvSuF56ezrNYx5EgBHB+7fHeZPBU2M/VVDxbwewkSOUuzS0DXrbZt 6pgc0AMxAarEPAxslm04ewe6EVMe977B6BvUn9s7nkGPgTN/zsigzg/kQVKp b0log5OeJiwhC/PwVsNZcqWuBUUbeO+5ML9FFrcjuI1dMJh9nt8iuliLms/4 b1Dfs0aWn19z9uBexBYxTubgMIwU9V2Eda+6wX0FK6E/TSug+IokuG04iKJl 6YMW/zQhKZZFBuHJFWj3qXftvFyP+rzL12JCvZCzIdc/ebW4h5socDLuNyKK E2O7oXFBKClL7XroJwy+R8W6qF7+hk6u0XITTxLRAx6R6hHxZTgY4JvfYuhA 3VZbygNOkYjhXmiHnio+13zu3IxJ6kcMGTfPtbMnInG6Df2bH0mQRbxO6VP4 HdWP9TpEXUxDJvm8XtxNy+CXH1Sd9vcrqE23zwWeGwTu5XcH5dbLwLXDreI4 3wXDp2X3zj5dgJsrxm8n1GaAc0eArN5rHpF11rFlVkwDpHU5OK8QQSS4dTc7 tRZdyA25N6/hgfyNJcMC8D3lHTmnKcfLKRA0rzXhI6bBJRNd9sKuJaCY+7JZ dHsShqhduBxQO2Q94JLeb18C6XWriqfyU+DkMDMaX/MNpij1PYcN5mE6ZMvM kq8V1Rh119AT4tDLkDAqKTsMjI+ZfHKvGkF3wlkofWWq0Kh2oC+mvgJS9H7J TDdG0LHdh/ppATXoQr7HxpzxCrhPfvU26BpAE3sdN66mEtCQ72EoP0kCo3n1 8sKOelQf5M2hOO6GvooyKfyswMAEzeWorTegZVV+UwrBMBT2eDtdLgX3/B9b veljX1H7AvMPsau9SNkfyu+f/gknqB0MtFs6kUeiRY7b01CUP3dc1l4C36cm nuoY0vShikY/oU9305BjH1OSay8JRvQJj/ajp1Gk3NrCG+5ESLm19JHr0BKU sqdpuJ5fRFJv+R2cDkLhPB2rGBeaAcrBdeb3GnVIvSU5d+VwKOrs9/2804TB zlPaqO5YInpiLSwtrtiAdukspXmbV0Dcc6/PoYWALH2uBZ47Goo+6w8IaOB9 gHBF3VTStRaV9SEqlcD3eD6b/3Ti9/Wc2n24sb8ZLRuQrd/5Eo2yRHxvmXnh +5G1jl0I21eUSXtCQ/lRO/LZzDUzRD/BlUGmeS9+HNWbNI+pS/UjuhiTou3R JRBPE6eRVulGv2w3cyrKU9EbjnsPLRgwYMbEAy/Rt6JM9oecBjIxiIa3RH7E HgOOZJ7jOutEVDKxEDTxrQgNXfu8Y7q1AuYvy+6/vj6H4MPZjYHhVqT+TkmA XHIOpqp6Tlg6jiAtZxezuf1S1JPysyno1QocvLy+b02ohge1/IY9F5rQ/fn0 tFhTDP4I8Ak9vF4Bju8lx9o12lHmOAXcF8f7mOCdD+oT1TAgnlBt4V6NeBbP 2H+Ox/B6EWNZOFQE1sfJXs0/i0fLaow1fXh/G5ekePtHtADOYG+prBk+otAf z2lUcP9Z8dlfSnLJg1arpkOPncLRYbqA3j58fkUERzXQORaDumDzFZcjXWgp eS+O/hgGCdGNErM3HVEji/iYzHgfMpB481uiigRqbtcjvbRzwTZPm75AOxSt pTWdu4J71Bpld3TMQRZMbRALXtwMQMN3nR/34/3fJGjng5J/HSq01V+zjcYv 85zbXwUfEjwJlrUvZ8yE6NhTVr9+vUNK0aOpCJ8LsYcctKKyG5E0e8rKamIv aua/OVniToKcEmKUznAbyhNxomHK6ULckK2W5kaCDtOLh/54ZUDPGATwF3gg jmcvEmX+72ludFnmo+nwFJV+nzV2RTs9BuZj+P8vjXbObcR1o2ZN1r3pzFYk TBOZmYCfo0Aw+DLJmg5tI1Jxpxbs0T0KpZj3uLdMO6yhJeU+pNdkt0F5qwFB zt0zca9JoMv0o4TFE6EN+vNJ369+hj3ylJa2Ogyss1gZ6TPTgMf2C1WUw2NI GU/8tomfU1kgf1FgCSE21Ylc+5QcEAhMcxIsxuBhTNwiO386PGKjRrPOr6Ck IEYgGH/+ouHUyNpBHUpPDX/D8agEZmmzQpIycc+0P09nrVKLRDI9hHKWKoA5 PL7zTxIGr0RkCy5FpYPQrs8Ixc3XUFx2deEcfo6LheNzr410yPY/waNg9gbM UlR6BnEOt21WKFpP+CAlXseyRs9GECMIsZTiueL2PikrzegNtCXxaXKJDfBD iEtKAd93HKiCeu1RFoy+UglgVgsBTr+1J834/Qa669jcNM+G4uFYMZaOUKiY X9EYxf1HMkDhiKVmEoT+VW8w9K+H00Eix3ZKMYi8clujyDYXHJ5TcFwxrASt 7AqjXXw/lbl2tqBTOw94jFd+C0jGQ3BDeHAzntv5CVsjFa8c6HkpQWP4KxIE lF5niON5Y0XXmU1/VUF5rx2RbbkZMSsvvSJq4rmVm62v1qqBuyL3/vXorkcz Uz/jpb1xn9EuOaL9HK87L9mYdzKViGWJ93sJ/l1Zkj6fBfH9i0G6y0B26TO6 ZfX+qAvue+Z/DMnL49PAW2iEr0G7F4Gc91zNPAmw05k5DsGlUGHvWH8iAu+j Vl//VnNjEHeZ+u2ARDGaNz9o4ZboR/OWzS+swklghV0Olj3finRTdte9qXoQ aVn2Cieet8NOeoW5jAQUF+1Bzi3Th/xVzemL35Eg5Ipea818J5qkHPiq1NKB 1DcWEs7i+e82Cg+nN0wHAYG2RC8XJ6T6H+dZefx+Vf5tUnmb1oNWrEqNEw1a 0Fa/bryiKwlSY38vrUemgeyfGQPGJnUQOzgucAjf+z5okWtWjSH0PSSn7FZ8 MjgWciRIVuH+826O0nYqDaKr6NWF0k1APp2CvQ0/33gz9YZgdzooPfM59FbH Cc5W1vtu4/kRY2Z+9+BeOvD+Ejwf2WkNG5Jjdy3w5/8SShqkLDLgV/85GiEj d1Be+Oqphz//rN34lSVZNnj2dxp63foAk703/lrg+flveMJd+XAWHHJ7YrDd 6w8CakZSGfj+te1BZAztyAT7v6mrYyU1kO41sDCOe+CFG18vszblQe3DIPaT NQmgUycz2oP7G9HTvznEIBcUnCtfx8R+Atquiw5VeH/b44iO4+bOgds3xF12 nkVAZMKDeiKen5DNYvTUog8ZYlxzHKsE9N/jyRNX7UkQ8ZFXiiq4H003q287 XK1FusUizCymJFB3YplaX80C0wuDch6MAShqhZQ8ib8/W5r8d/rYIvS3cJD5 q2AD7BIUki/jPs/3zNsy8T8isln+YvpdbApVHa7Sj+1eAAeRh5rcoovAljfb d0TvO7yZmZiWXBwGmW+ZPbEsP8GOr5ptRnAYqMctb9RxDIIi+5NkhuYBFCr8 umK0Ygo9fjamdaVuAUyFU++lq01BedSkBZ/8DJI03wzdaZwGI8nPH3/tjCFB F+KamOwwItWzxnr/swSiJc/HyDom0I0iUQmnhQH0gNvZ2Ob6EsgIaxKt/eZQ AE+aO1tJNyqgE9eK0Z+FJdvTamFdY8huXOO5qNkw0hLXnuZjWoJfr0/BwuYg al5VlnqrMIXurhy6CPh3/Q/mSWfn "]], GraphicsComplex3DBox[CompressedData[" 1:eJxlmHs4Fdsbx2WXVEr2jOrkmqiUKEohrSUVRUrpSh1qqxA6hYiDhI4UXUXF qV0Suipyy8p2VCinNoeOTblVCrvI/bL95vm1Z+Y8M3/t5/k886yZ9ZnvXu/7 zozd3htdZWVkZJRGychwiF+YfyCleCEf/DizbvjszW/oa7HP08r1GIxQnKgT IVcNZtStezQy8g1NvfatLtUAg+/P1ryd+O9H6vrW8YcKduEY3DLQpvrPuSa0 1+dBQpZnK/KYtV40mIrBc/p+gmxvIcWHndUmtIVikLwvyTWcrlQLtmOQv9Ne b+5QFcWdZjv5OSyh70ty+RI5rfO/YNDP9PlqzvTvFF90MeBvwQgXDs3782aI VTfF73btStP+woVLnees3aPdhRZXrjrm6fgJpbrWvzg1Cod76pLevW5vR2kT sFBP0SfUkpRdEC+m90XySZeyH8UJ6H2R/OXQLeUVZ+h9kVy/NNfszB56XyR/ 7Z/hP2Y5vS+Sl6tdkvdRp/dFcq55HozgYNS+SN4draig18aFYWr+skM+AxT3 mRVSwq/mQnlFe2d//ggg97utpzUnupj2IOb77tVe04iM7yqY/phLeyD5xqyi t3um4ZQHkmtmZhwdV0t7IPmyZ3WKdkm0B5K7WR6P+eZBeyD5VgNe/ilL2gPJ 78z9ZOetRXsguXC2tnWcHO2B5La4i/ZtMe2B5NdW/uaY+y/tgeQOHwdMdV9w YYH9qNsf7PuR6/9zIkIKalWbRYY45Yfk9qIwSzMe7Yfk/ObMo4tsaD8k19Fx q6nvov2QXF0xy+57Ku2H5BcV36o5HaL9kHxB08LIu1a0H5L3rftLcZ8O7Yfk SnE2PR/laT8kD1Euqoz9Tvsh+fIjb7ucRLQfkgc21S268pILrWSUfx3YJwtJ vtZ+h+rrJ7S3nz6FKKrYvOH0TpyRKyEyKti/ZfRdZq6ESG+xUvm9aGauhOju tvlR+eNwRq4IPqXRPPchM1dCFDQSHrfJj5krIZKk7mkyWsvMlRDBiyqFlrOZ uRKi3UqebvvHM3MlRDYq78/WdjBzJUQl1fOeRNYycyVEd37UH7pTQnsjeSMv bPqrbKY3AXoF5F1KTzC9CVC8jboxGKfM8CZAHdc6vgXVM70J0D7OzTPGONOb AGV1jFY2e8z0JkCe8IPzb0eY3gTo9KNDs4ZZ3gRIN6hDtZflTYA84rjtUyYw vQlQ4elRH052Mr0JUGzZ+7TFdUxvAtSfMbXYsZTpTYCSOixMA3O4cEpbxME/ Xo+m+LmHHOdt6VzKD1IzyzNe1ZAncTcslxmh/ZC8JtJWIjeR9kPy0zN3qyU+ oP2QvN7Z+OMpX9oPyV3rcf2RNbQfkuvkYTbB//FD8gMxsfnfiVwNSv2Q/MEs 8ZXLhJ9jUj8kD4q90OBG+Bkr9UNy1fJe69T/+CG51XW9+BrCj0LAqJhsCenH EJzsKvHkp3HhNt2m0kFVCZkHUKSymfe7A8bMIdDYpWMXRNRlRg7BOXG8nXIF xswhmOk/qrl1AyuH4NzhWa0nu5h1QQC+xD83N0th5RDwrNWnvDrIyiGwbd7z zsaKlUNQs6Euq1GHlUPgqekOB8excgiC8IBpiuwcgvQVDUE67ByCUONTHnHs HIIQVYsFrewcgo3hd1Tb0lnnIShUmMx5EMj0KQShLvE33AqYPoVgqcSucvMQ xjwPweKXnlG/VjJ9EusMX1l8PoF1HgKLM/7xiW6s8xB43dYcnsSqs0IwfVP9 SpOZrPMQtAyYZ1rIs85D0Ku/5ov4O+s8BC06sZcOsM9DcH17ca0Oy6cQZM88 VHUvh1V/weUzRwYvHMKY9RfIr5IzUEzGmPUXeJTWKU4qwZj1F3xN3K2Z/ZhV f0GR9emn0VGs+gsirFparjiz6i8YzvD99YQ5q/6Cvvr08dc0WPUX7Mwts6oc w6q/YNxDvTDLb6z6C2IUj2Gr2PUXzNd74eNYwqq/4Llr5Ow5Oaz+Ddh4P73Z f4qZq0aQ0KLsaXGTmatGEDTb/2V4PKt/A/NrEy3z/Vn9G3i6Iqdz/xZW/wbU LfiDQ8as/g24lepNNlNh9W/g04fIV89lWf0b6Bf386e1s/o3cKBqnn0Wu38D FWd3TFz2ktXPg5junV+fBmDMfh4cXDt384kTrH4eSDSU5OVCWf08MFHrkeju Z/XzgBc5y/2cDaufB+o9Zx88MWD186D8NBAumMLq50FF9Glrg//MKSQfWBmd GviV1c+D8ttN1S/Z/TwQ/67g3f2cy5y/QOT3Apc8d9b8BRboW43ZuY01f4EI O3MQAVnzFxB6x+zvm82av8Amr6x5KZNZ8xcQ95SFaQ+y5i9wf71S3dHPXMiY N0FSq2XsfmP6vtJ5E5imrPLs1mDNm+B977QxS4h+I6y0vSqxZVCa2wxQ7DLw beVeos6+wwNm5PVQ3Hb//bKUGxj0/Wymkny6g+LdGbM22BnjjHM7A+RUTv+c Q+ThlNyYeH9XCcW3zwjweG3PPM8zQP36+JFJ1aznQdXPCkRDRD/cLMcTDxkN SzkfaAWbJr7ZgUHNmCNoeeIAxdVrcKt1h1jPjzZYBsNXTTh0Uo4+EyrXR13P X7nA0IKYNy9fTXIReHdTXMV23UBGDgarZmYYjv63k+K/X9ynnzyMwdrW4qP2 z1qo57/e7ie7eSWzP88AJxK9Ze9fxiGWXsxZveI7tU6uSrTW2AIcin5fV3bp iITidpqPp/ZsYK2PCh9pTelxxSn+s295m6e36J6iliMOr/EyUhW3tlLr+PW1 gdAI+r28a3ToW9IfAj6NMXe/GkL7J7nB6oTE80R9zLqa6/MooR+55cW48jJD UOVi37v/8HH48RfLUy5+EmSzOzLHPiMEaRqAlLKFOFTrqrDdpD+Elrt0WvQX B4Ngf7cALjGnf7o21qWFP4hUpLwl1Gm4ex8Gi+SsRRPG0+v/wePyjmfg8LLs oLhKphdVOP+83j68pK08EYO77utzDvj2IA3pOl52Fe4bbmGQq6R1dkdFB+qX Xh/01xSBYDYO5d7Hm6Ud7EDlKUoiozg38EAO57eZ49DBPShK/6gENd2NSgh4 GgpEM+Y5XNhA503qAUV4PwzM248zOUgoeX0t2JW4b7Da1mTCQ/Mv7V3m50NA n9GaknRiHafAz2oXL/UjofR5uh9yNkUH0f3hmc3lWxsehqBzX6KOxqXhVD7J +96Y+FfS5UEWB/4OKwuHr2NQa46K4VyFfjQoXT/8wKx2FEbkM2rSs2nuXeih lPeEPzvb95r+n5LriDF1W/ESHF4xXlF59/0P1CO93nrBjdhYEX2ed35o5pxr bkO9ZYWSk3wM/n3vbNaX6i/Ud6fS3YH1kwro83Cc1qORszfFyHyvhcILX/oc I3ll7IXge0P0OUaur9L33pzTQtSdyN86xrn3Ud+XeC1oLaeOnkcu3GzUFxl/ RXdnK6XFEPl8w9Xb5p70g/pedHiqtuPkQYw658nrj6Vq33rxDxdeK3TwClEd ob7nbN0RP8fwBRd2rpdszpf0Ut9bnHe4JYi5OHQOwbL2F4yCJB8YOR8ryKX7 q0WtcLXIrx59z6/RvT8dhwq3vQaSRgao7xJZMaYT5NVwqt8grzeuDNEcTcz7 Xuk28jXLOdR3AKMjen++z+DC8MeOcfKDQ9Scbho2IgycgcO0hSuqYpaNpubf 1UXP6mXuseYRZGE1rIsT+WesA+5nRvROc8KY64C1u1TTf7nPZT4/6OoSNqUR OWc8J8jfrWGw6zHLA9Bf9Ekv2QNj+gSXj54aX0jMIwwPwGSnmtsdYn5neAYG G03uuOez3jsw1q24sMSPlUOQ7ZE99qMn672DbUMtuRpVrFyBtBNfLl6p5TJz Dow8A1ye8Vh5BqvHN+Z0rmPlGUzJTz8/oY+VZxCebLvG7RMXqhnC086vPqLP qxbaabu1oQLOlOrgNAyOf+UxLd2xDl33M5wlqmpHBtG+DptOYrDy1+YlFzaV IcnFvTXWnWLk8Gbt9EeET+6wod7UPZ3gs8uIl+dgO7plp53n8IMLFRuUte7N 6UAxK7wCPctakKlO9hiZZgy+LpLr6tjehn4LKPHzzPuKbAvUsSqin78oFIfM 3dKDhP++cdE2aUa+/GWhRcT8zm+f65zsNYB4UzNkz/HqkJFlbnSVOg47V2Zm dpzoQ/0pMZaiuAbUW/MY2k/DoWpOsHmtwhDipQSEeKpUo0jXHT1RM3H4dKrN Ff0aDuQlcL9Zb6xCKzYGH6okcnXV0sSpft0wuo2nPM6a/waVH09wadHB4ZL+ BTkDrqOhlIONlYVTlxJ5vh3qqWltTKz/cx1Qqrf5feYuDPY+qkj1LybW/3lf 4MVvLEp8yIUN/WJXDkcWSp8TdD7543IH8T81Kdc129kjC6X7AmPtn6DaTC58 /GxCmcZXGSj1AEq3PrGbWMiFWZP1Jk9K7wdSb6Ayfq/rk3dc+CF2+dKiW0NA 6hm8K3EUif7mwtEmutvkL4iQ9L0Av6jxhw2JPvCS71pTxbftQPoewb6DS15n Eude5XXL2pHKTiB972DD8avJHGJ+qX/x0mkVrwdIcwIiQ83+5DZxoakoqWjL bAlSrUgZtOYWIoebCu+Sif/1qu1/27j7S1Dq9pN7nvNvIC8LHu/qfByKk5vX /GkyAnZb+pRoCD6hcn2TD8+JPla9N8/oZN4PJOVAXrXhaa8/Xfe7by61cA59 hoq6zUYaucrw45LcCXorxMi7q63+WHZ9Hsl19dMOP7koRsusfVwm/RFGXf/C Nre0uu8HynAe8nC8X0jxsSoKB7U2fkOytxesqklBFFexDDypWt6NljWMruYE p9B83mLFGXN60LUtPoe2tYRQfJpRUHiQdwc6rqSx/V2XEyD5U8ORtY9fdaMy SdJVTvVt6no5/8x5P9S60OE9muHr8ul9/Q8PgdBE "], { {RGBColor[1, 0.3, 0], Opacity[0.66], EdgeForm[None], Specularity[ RGBColor[1, 1, 0], 20], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxVlnf0kGMUx+8voaFphUJKVGSUzBSyQ0bSkF3K3pVRSLJHSmYyQ0YiW1bZ /GHvdex5OObh5H7O83nPmz++577P897n3u973+f53qfjwcfsdXSjiBjdELFU 2mUT+RjMtU4s41wT5/BpmWicWDrRSotfmyV82yWWS7RItHWuaWKdxKqJ1RLL O9cscQocEmMSq7iupX6t5NLBHMRbXUuMNbQrGLula9q7jjWdEislVk501sJx bS05u2iJsa65idHN3OTsk9ggsWFiI+N2dryW4+76wms97ZqJjfUlZy/zUY9N tOTsak7y9dS3izk7mqP3Er6bauG4ubnJuYV2/cRWiR7G2HoJ7v3kRJ6+zjHe zHjE2sb38N1WC9/ttHAZ6387ItHfOXjtYCx47aiF1z3y2CUx0Fis2yuxvev2 dI7xbnKFy66uhe8ecmL9AOfw211f3u3veuaG68f41sSsxPWJ2xM3JWYaa6Cx h5mPNfv4DTsl7krMSdyQ2Fu+vLvTbxqSGOoz60eYn5gHaMlxoJZvPTQxKLFv 4iDnqMfBWvIcooXLYfoOjnJuhsp3pHP7JUZp4XP4ErzG6DvcfzbcOh2phe/R coXjMVp4HauF11H64ne83wCvE+VB/pO05D9ZC98T9B3pP2a/sFfGyQku47Xk Ye+zf9nHZySOM+epvofvaVr4nq6F7wR9yXm2PNCbic7B90wtfM/S4ndZ4pzE 5MQk1411PE6O52rhMkULl/PlOsEYY11zobnJeZGWnBdr4XiJlpyXaomBtqFP 6NTl8iD/Fea7IDHDWMSY5hw5p2vJeaUWv6v0Jc91viPG1c5Rg2uMRYxrtfjR K9B89J/+0MQxfaKp46pPtNSvtWP82jhu7PsWrmnrO3oDuo6+N4+i2+g4vaWd 46a+b+u3TrC+LaxTO/OtZu3QFc7XQGOh2WuZZ80oek1uNLh91P2mQ9T9o1PU PWNt464T/9f0XlH3mM5R96rV5bKuvuTo6ph36G63qPtHd3mt7xiuaPgGxkWz q160ke86GKOr+Xvq10VePa17e7lMjbKPpsijt9+AVu8cpe8Rd+uoeyB2K/mh 7ZtF3Xs2l0tf15APTe4XdS/ZJuoe1lt+/VzTw9hbRt1vttWvv2Pyob3bR91j djD/To7JjQbvYmy0v+oVA3y3qTH6y2l3/ci3h+Nu5sO3SUPh1qahrEOf2U/0 kvmJBVFrZaWdWLQJjUSL0C/07wTHlVaiQegzWoHWjHQOv9HOoUto5Dj90D80 Z3zUOnhq1Lo2MWo9Hed6tOUs16MrlbZN8l2lg6yvtJu5EeYj3v2JJxI3J35I vBTlrH+feCHKmf418WYU/V4q6/VdFF35N8qeY7/9k/gsimbTi59NPBKlJy9K zIvSq59K3Jf4JYoWcHaftOa3+D/4L83T/pz2tSg68VPilShagi69HEUzqj5B vejd90bZJz9G0TW0il7/XOIx/xPagqYfYK2r2vMdVR/ATtYPTT7Puk+21lUv r3o7lv1CP2dPsEf2dO7AxNwo9w3OIfuZM9nH+twR5R5CfWZHucPMkTf+1OO2 KOdoP79ziGvmODfXb+cdd4eR8qjuDdU9YpTvOBvcE6r7FHaYtRvqul2dY8z+ eDrKfqnuGdW9AztGLnea5yb5wYUzvI81G6Zvdd8ZLb/qLlXdrbDVnWuEOTk/ E/1/N0Y5q4Os20xrvzjxZZS+ygb4OkpfbZTP30bpk+xL9uTt1pv9uDDxfOJR /8fDxqzezzZPs4byT5o2lPyzzPt24p0o+j7T9ZyBqmfTd9GUW+VNjnnmXKj/ bGsGB/brg1HOC2s4G49HOSvsg4f8H/uajzq/FeWsck5XTLwRpec8alxyvhjl bDc2/x3+K+4Q3Be4D3BfuNpaceZejXLuLnEOP84SdWCPVneR6VHfLbhrvJv4 LUofGCwH9sb7iT/8DtZd55pB1oZv4vxN9T++HkUv0IoP9DvUGhCDszHftVWd sHcLntkvnNvL/D5iLzb+V1F0jW+e7Bx+1R2O2rRoKHlau6e+iLKvZlq/wea4 RR4NDeW7ZliLb6LsAf7lAv8t53WudZzjM+enui+S+xm/k9zo9ANRziJr0RDO 6+dRtBj9qu6g/JOPEn9F6VOL5Mmer+6s7E321yx5Pet7vulp81Df5/zP/D96 M+cYzWO//x5lz080Hne396L07i0cT7NWExyjpx8m/o7SXz+RKzzR1D+j6OnH UfoK+o7+fhpFj+/x+6nbf5MfrOA= "]], Polygon3DBox[CompressedData[" 1:eJwt0csuw0EUx/GZpmhdu6C2LWseAH0AW4/QdK3sq2vsCAnWEk9gZ2flEurS StGgbkHcEneJ+J7Mb/HJmcx/zsw555/O5kdGI865XkSxjWc0I44d7KFTe+3e uXXiCtpY/xDPMIExJHz4NoQY6zrxFwWducA5xlFEGW/oQRqt5GSIw/Ye6w/i MQbQhxa82DmUsIUnNKIBG3jU2vrZxavVqpwv1FRrFin1to8und1UruV84xQ5 1XyFJuqaIk6rt0tMqsdDHKlWu/sPt1jCDK51h+XOqfcDJDWDd1Q0i36rg7dO iINYxieq+mZ7d3A+3DWPG71pb83avHz4FxnN9t6OExeIizYnH96wu1fRrRmX NK+4D/9iDR2sH4gRH3Ktp39kT0bP "]], Polygon3DBox[{{209, 262, 21, 210, 20}}]}]}, {}, {}, {}, {}}, VertexNormals->CompressedData[" 1:eJwVl3c4Vv8bx41ClFFIQpklKZX6KuNOkpRRKCshRAmZmVkZ2RFS9njsvefH Y49sj5RRyM5zsiIjv/P761zXuc71uc7ndb/v9/2+eZ9YqZlQUVBQsFBSUFDj Ty+BbcqvjpUgJMVpWSJZjJzllG+x1mPgKkXfpJdfBvKpJ+wle7OR9RMj3qQB DFA5+51q0RI4QHG3/1tBKjqnt+z9+TsGFhrxpImZWhh2t8nyDWpCfVZP/y09 wiBSjDU2Vh5BbTPDrurxapSVxHQX3mOgE6m6PiRfA6rtH7cPbBaiP3r91SGV GHCcNG8ZeVcBlDsMLTQ0mUhlV4JeuxcD4sFXvfdulUJb3PySrHkyUmN3ddYc x4BrujdQLKwIXvBc3nB2i0W5tzOlZWcxEFait4bHBbC232kpay0KWX+SJJ1d wqC9PEOT8UwE+lgi/uoeWz86WSv8t6iADHqueY+IuhXAr/OZ+Jy3F2kFXUw8 0UeGHzRzAi8PNMJA2P5yIYdmRH8h4EXMeQy2ZPIpF3UbIN546nlsZCXK3I7+ 9s0Tg1tSiftk9RG4ilR6tHfko2rtSzbqRRhE5Hyq9NWqAm45JYE14zS0G/BH R7ULA3+PrlIXrTKgJDi8oaRJQHq6B3nWRzHIV10eEoViiFxlzUucjkaXhSJ6 ImYw+PZqn+PcQAFo+re5v1GKQKx8fLQDvzDY+XluvLk3FxwxceGOM2Eoi0nm 9pFlDKwYv9LRNmSBZkexgah6IPILDBc5sobBqKtupOyNROTj9VAqUoCEmNcC DAvOk0HOsWfTiIMIPMFF3UeW+hGL7dlZdJMMJhPDIcN+bWCwNvoxJ6IZpR28 Upb7mwzFugvzyg+b4dbl1i8i1mWoVZRF09gCgwtcBX1nhIng20I1t0TOREMh Wn6W2RjEJ7o915ypBhEZ71dhi4mIyT/oaEkHBsv+66NqUuVAw86j/fPhB8QW ZzE+OoKBgMiOzGZnMQRLdKQUD4QjBlF7B1acw4TM4F6aWCFoxjY/0KoKQZon CjijcA6OpGythPt5IK++rLjHFoDGSrnM13/j/+Pktbx6JBuqvfPVNbp90aUr Gt9pcA7yB9Pa7rxvRdRmvs8l5fpQ3J67SL4MGZ5qCA48eFCA2m5HkzpSv6Kz SfNSFrAEKscZNC+YtMP+Oc8of8IQkv3vUOwL/H0Ifb9te0kPNPkQo3rbGlG0 0vwUwycy1PKZuCYotOH9Yf+iha0QNe1WpWRrYbAwfp3hvmkDUO/z61uSTUa0 +lfr4tMwcGg8nFbNUQujkyJtuxrR6PR17tMtbRgweuQGvJ8sh7DgQ665C2GI IExME8D51EiMLN4/XwK1ITnrjCgAHVdni+ycxiDNZWew7WUhHNbICBWz8EUP C976O+F8aIkkX2JmHpBZDVqF33sjlwOtpYs4H3m/Yy/y1bPBqGzlj9h7T5Q8 9/bVfpwPw2NCHH9iBtxnZ2ryP+aBWNmyDt78g4GCWNAdi+YeREgYJfkH9qG0 v2PPJKuXwFA1rm9zmIg+8u/cDWP9jmL4BIIc4xaB6VcTt+m7QTgyTBSukBpB SWJypWMsi/CfpPLTbcpBWCDPMf5hrEEbf/h/vbhABiESr5d1UgecqtZQ03iY jOZUBE4+VsDg8ITU2c6rjXBn3S14Yekd6hUxCe9MwvUvmiF8pLsWpjblT9+V 9EN53s03Glox2DWSfnhYpgLMNjNszv/2RB9iJ0fGv+F95FF7w9aoBMYvZXsL EV4j+UEJF4Rzu5wx4uH1rhCwGqvBm0Uu6Ldge437//trlSdWcigPfkuavL/d 74T0FeeFNnBusZE27Gu22YC+00coejoic9uPUSw4t+zsaWVSRQbkdxizUXi8 Qke141VUcW5ns57JutQOIt2R2rRJnl502Yf5nMi5JWjRNyl5hgbQybyTD6Nh AgmuM+6zYZ2HbdIU9vnnJLROufJtHxxFTT7Hgnvyp+H6r9ALa4Jf4JFzeQJ9 bRiSn24puzy4BB6yyqkBKZ1w5gqpJyDcHJ6MimkVyWDgx8KqamzXCCYPEvPb 9U3AqufK3c+JGFx7uHlg9lctkBz2RFlfKsCXac1iEs7tUwjto2n5CtjR4V2i 2q+IXAJnJY7iemMQz26qNS6BS/3hR+JC9FCdeHz6Ks6tTFcxWQzn9qF1LD0m 1xgd/i7SlYlz+2FPt2FFygPKDbRV2GCGTjMKHObAfYl47FT3JM5NlmFd5UCU OXpN90dNBOdWQDcVS6jMAMvwwd46PwsUWvcjygjndtHbS7IxiQC8013zsU2W aPE90xNsA+dpf1aXenQO/Hpz2twjxqC6brncS38EBLiyb0cpDoF7tozp8dhq kKT5s3z18xJwZwle4K3tgOnp2usm3QToO5Jrt3oDA2k1pjsPKRphMy+nS0w7 GgLCUutYUzBw90h7wmteC4u1NaJv/7wF2dCT51jaMeC+qHBMZaMcpojsFu9u uoHSljhLL86n2pzF+tHFEiiZnBUukLKClymX9kxxv3IvFnQKtiqEVVebOAsD XYh/sq22gfN50rX88lJ6Hrg0/2s9xXEOnh49xK2C8zHc5N91wPtxvtx+S0ZN EW3tWzFWw/moO6qdjk/OAHbRLGbqR1qoup6qyAPnM6DKyXfkOQG0fsT8fmhs gFLATYJ3E4P5I/XJRfZ16F6vy4tWajvgPNHNU9qMgd3J8VsEjxbUZpzvfoUc CBIJRtdS3fF+8Ru68EiHhGwT8vMvNZVBtXBypDAdGW6uarAaf04GTpl1o/S/ U2AisPtlYnMObNJva3Jx94GqjW2Q0UwbfNJQPXD6Ehk6DQ4+XaBvg5tbpRw6 8iXg8ZSdg0IDA0Wq+f+OzxOhM7SpzmgrFV6wyzraZ+D9NUn5mkGtBlhH8w4k GnyAr1ntuYadGJym6L759mE5UJOeXmXcC4bPtnNKlGMY9I+KKdh1F0NbmzoF xYgX3DmvVMiBz/2vbWvTraJ4/zKlBy+7vAK27esaT/G5/1hH58S8Uh4sVE+c Dh8yB3vuo+c/4JzfNPxI88PngruZdNbHlUcwZ0k644tzrly19LhplwHLlAUp qjZyIJR+QpqAc1ZLeaG+YEGAmRxly2OHzqIiB8s8PpzzXQ6RYQenJkQZmmC9 zpMJ/OZ6Or5BGLBXa45SxnahvPBMs4HaJkgtqI91LiLDoHa78WzNB8Q+gL2X EP8K7v1WHM9MlyC/3GxI53MLpL6rN3ke0AlU7DzzK5VkuChgvOug1QQbtTzn Mw5UQeWztcG+FxiIOGQQTuvUQxSV9sDeixyQ+ptJx1+Az5Fk//n+mipYld9Z yRJMgrpURp2IbgzWCUONSpZlIMi98af4byQ8DsB0YvActfNAuBSTLgYp4atH wgWDYaOiPOIfznPUInPXuLsAnHdDopgTvEGZr8JxFef5XzGD4eP2XChefGjw XNsZcpfuh67hPCXSMo1QaRZUym9mjylYQwIXf14zzlPlxL7FtPMZIDY59e7j cxPY2xpKHcB5ptKl2YqZEVEBbHx5/7AIyO++s6bHYzA0p0HiTGtEHXmn/FzM m2Hj2of4/WdwzlW3GTMOfkAf/H9ckh7qA57YeVZmnI/HRxqKK661wPgKSjcT 2uFB4niPFx8GxT65mFpoPcz6JetTFNTAcRM6W24/nM/5V9FDx2uBICOMvpEK YJcyUnk/nj+tyT36s314DlyLd2M7mwbMhy+s6PVjMM4q706hUgqlQmpxt+hj QTs2nNLjBwac/W7pi35FQGS7Hs13NQI8iFkLTPMY6K2zeNE/KIA94qPc6YUA 4L3SfPsjGYP9f5SrEk7mwm6bp2YgjTc8+iO7ZbCC+5gPrZKXFJ7Txnadvg87 w7TSTiHTOgYVLOy0kkPpoHvcvY4/0wbujUlcosN9z9y9aUBptQpJHd7d5c1u BOpdS/WUl3hu5OJp30bhSHi+3Oe6ZSdEcV/qkr+O+/xMvzBtKl5fgbVlxogW uO0hlsRkiuf8Sr2bi25VMEMZSGt/pBYS5M6aVuD8eRO3tVttK4GKOYPj1rMi aL6r4HC0Ae/HnnKpy1Vl0OH87fNj8QzwbdY+ZD+E6ypPME+BtgQuqCYobb1N BDG/Rd6PkxhQwj+/HyWFoFHKHcusFI339S1P2QUMxGMHsXtB+TCtQpND0RgG HZta4Q8wDOp2i/9la+ZAykh2xbuX/iC4vNfxDecz3lNa15GVCRM1BgH7Fj3B UTW68QnOhyFx8fiFzWI0lPvOxO4zET5m80hdjsY531JwVnoShHbutX69Jt0C Z/YsKz95YfA5IjeH2jIbTna8X/XIbQSjpdmTZeF4biTmXts4VQrnxumzIk7V QPUmPzU3ntv18+dEJWjKwCkPYx7kLYb+YMXGJDyvfrpJ69ocUwIJnBmefEpZ EK0lUxaJ5wrBqqNyb7KLYKrKUdjOPxlkjMrsun5icLy8/WpJVwHYndhfZEr8 CNs6TSN+ixj8PChqKqacB3QxNfT6+RHAUMlHOoHnitbHZT3cdtkw91vhm5Re MPSMDAnqr2Iw5mLMJ3w0EwSvbjCrpPnAXd0i1mKcQy4p3yCRLRXM9eaOS0gS Qb8iSY0lH4PrLDxXdWgLgXr48CZVXBVw5rs0PSZiYLarG5D8twjesp0TjrlW DPliN8xu4Dq/2UQTkhZYBEGijNGKEdlAdfjqejDuDw02nirUdwrhbNAu72na VJhaPHeKGvcHfgZTxeHSfAhldOB8/CEO7ggxXxnG59ro37vePn9ywL5teSHo ShSocKwkrOL3uldelfs4oADYI244sa0UwaE54UP6wxgo9WalX0wqAPvgQqLT hRwwqa/elsb101lW6xR2oACOjF68s0iZBuuZBmp7c3hdQsRO020T0TXrTds6 Fkd0X1yIJikPA9tFW+7egW7Ekse7azjiivpze8cyGDFwEcwZHtT9ibzIqvUt iW1w3NuULWxuFl5rukgt1bWgGEPfHTfW18jyViSviRsG08/yWy7N16LmU4Fr tHdtkNWnV9w9eC7iiByjcHT8gpQM3ET1rnjAPUVrkb9NS6D0kiy8aTSIYuQY Q+b/NiFptnkm0R9L0O5X7955sR71+ZavxIb7IBcjnkN5tXgON1XkZt5tRFRH R7fD40NQcpb6tfCPGHyPjnNTu/gNHV+h5yUdJ6H7fGLVwxKLsDcgMLvB1IG6 rTdUBpyjENPd8A59NXyu+d2+EZvcj5gybpxp50xCEgxrBjc+kCGLdI3ar/A7 qh/tdYw+T0Cm+fw+vE2LEJAfUk349xXUJ9tngs8MAu/im71ym0Xg2eJVdZrt gi8n5XZOP5mDG0smr8fVp4B7S4ii3mcWUXTWcWRWTAIQuhxdlkggFtq6nZ1W i87lht2d1fRCgSZSEUH4nvKGktuM68UECFvUmgqQCHDBVI+zsGsBqGY+rxfd +gFDtG48jqgdsu7zyOy2L4DMqnXFE4UJcHacGkmo+QYT1AbeXwxnIePNhrmV QCvSMumuYSTGo+2wCBppewxm6U0/elYNI/9INmp/2Sr0/FGwP6axBMosASks 14cRYeuBASGoBoXmea3NmCwB1Y+vvoZdA2hhp+P6lTQiWvDfD+XHyUAxqVFe 2FGPRkJ8uZTGPBCtOIvirwoMTNFMjvpqA1pUEzSjEo5AEY820+VTMfg7vdGb PvoVpcyx/hS/0ov2BUL5vZO/oIza0VCnpRNlJFnmeDwJR99njsg5SGJQP/5E 14iuD6HGAJGPdwjoWR9LsnsvGeoMiA93YybRSfmVOVfeJKi4ufCBZ98CPOYk aLqfnUdq9oKOznvhEM/ALs6DpuDY5zXWt5p1yKQxJXdpfzg61uP/aasJg60n 9NHdcST02EZURkKpAW0zWMnwNy+BhPdOn2MLEVn5XQ0+czAcfTIYENLEfYB4 WcNMyr0WlfUhGtXgt7g+m/924vV6Ruv5pbG/GS0aUqze/hyDssT8b5r74PuR ja59GMdXlEl/VFPlYTvyW881N0K/wJ1JtnknYQzVmzaPakj3I4ZY06LNkQWQ IEjQyah2o9926zkV5WnIlevuA0smDFgxieALjK0ok/MBt6FsLKLjL1EYdsCA K4XviO4qCZWMz4WMfytCQ1c/bZltLIHFi7J7r67NIHh3em3gSyvSeKMsRCk1 AxNVPUetnIaRtoub+cxuKepJ/dUU8nIJ9l5c27UhVsP9WkGjnnNN6N5sOiHO DK+XkIDIg2sV4PRWarRdsx1ljlHBPQncx4Rvv9MYr4YBicRqS89qxDd/yuFT Aob3izjb3L4isDlC8XL2aQJaVGeu6cP9bUyK6vXfSwVwCntNY8P0AYX/fEan iuefJb/dhWS3PGi1btr3yPk92s8Q1NuHz6/I0OgGBqdi0BBuvux2oAstpOzE Mx7GIDGmUXL6hhNqZJMYlR3rQ4aSrn8kq8ig7nEtykcnF+zydBgLdMLRCqHp zGU8R61Qd8fE7mXBxBqp4PmNIPTljsujftz/TUO23ikH1qFCO4MVuxi8mGc8 /in6keFxqJxDOXMmxMSdsP79+w1SjhlJQ/hciNvnqB2d3YhkOFOXlpN6UbPg jR8lnmTIKSFF635pQ3liznQsOV2IF7LVCR5k6DA7v++vTwb0jEKQYIEX4nr6 PEn2/znNgyHLYiQdnqDS79Mm7mirx9BiFH//wnjrzFp8N2rWYt+ZzGxFonRR mYn4OYpEw88/2NOhbVg6/sScA7pLpRz7Fs8tk44raEGlD+k32a9R32xAkHPn VPwrMuix/Cxh80ZojfFs8vcrn2CHMrWlrQ4Dmyx2ZsZMAvDZfaaJdnwEqWNJ 39bxcyoLFM4LLSDEoTae65CaA0LBBGfhYgwexMbPcwqmw0MOWjTt8hJKCmKF QvHvzxtNDK/s1aH0tPeuXA9LYJo+Kyw5E8+ZDmcZbFRrkViml0jOQgWwvk/o /JuMwUsxuYIL0ekgsu03THXjFRSXXZk7g5/jZun0zGctHbIDj/IpmruCeapq zyDO4ZbtElXrUT+kzO9U1ujdCOJEEbZSXFe8vsflZJh9gb4kgSCf1AA/RXik FfF9x5EmpNcBZcHIS9UgVvUw4A5YedyM1zfYU9f2hkU2FH+JE2frCIeK2SXN ETz/SAUpHrDSSobwfxoNRoH1cDJE7PBWKQZRl29pFtnlguMzKq7LRpWgnV1h vI3vp7JXTxd06uQBn8nSHyGpBAhteB/ajOt2dtzOWNUnB3peSNIZ/Y4CIeVX GRK43tjRNVaz31VQ3mtP4lhsRqwqCy9JWrhu5afrq7Vr4I7Y3WNe3fVoauJX gowvnmd0Sg7oPMP7zkcu9o1sJWJb4P9egt8rS8rvkzC+fzHJdBnKLXxCN63f HnTD857FXyPK8gQC+IoMCzTo9CKQ952pmSUDdjIzxzG0FCocnOqPRnYiL+uv /6p5MYi/SPt6QLIYzVrstfBK9qNZq+bn1u/JYI1dDJU724r0UrdXfWl6EHlR 7jI3rrf9zvqFucxEFB/jRckr24cC1SwYi9+QIeyyfmvNbCf6QT3wVbmlA2ms zSWexvXfbfz+PaNROggJtSX5uDkjtf+4Tyvg9VU91qT6mtCDlqxLTZIMW9BG v16CkjsZ0uL+LKxGEUDu75Qhc5MGiO8dEdqH733vtCm1qkYR+h6WU3YzIQWc CrkSparw/PNmhtpuggAxVYwaIummoJBOxdmGn2+ynnZduDsdlJ/67Xut6wyn K+v9N3H9iLOyvrl/Nx34fwufjeq0gTWp0TuW+Pf/iCUN0pYZ8Lv/DJ2IsSeo zH311se/f9pu8tKKIhu8+zuNfG6+gx+91/9Z4vr578u4p8r+LNjn8dhwszcQ hNSNpTPw/WvTi8Qc3pEJDv/SlkdLaiDdZ2BuDM+B565/vcjelAe1D0I4j9ck gm6d7EgPnt9I3oHNYYa5oOhS+So27iPQd513rML9bYcrJp6XNwduXZdw23oa CVGJ9+tJuH7C1ovRE8s+ZITxzHAtE9F/j34cveJAhsgP/NI0of1osllj0/FK LdIrFmNlMyODhjPbxOpyFpidG5T3Yg5C0UvklB/4/3MQFL4zxhWhf4WDrF+F G2CbqJhyEc/zAk99rZL+IyHbxc9m38UnUNX+KoO47jlwFHugxXtpHjjypvsO 6H8H16nxSan5LyD7LbMnju0X2AtUc0wJfwHaMavrdVyDoMT5OIWpeQCFi76q GKmYQI+ejmpfrpsDM9G0u+nqE1Ae/cNSQGEKSVmsh281ToKx1KcPv7dGkbAb aUVc7gsi17PH+R5agEslz0YpOsbR9aJLks5zA+g+r4uJ7bUFkBXVItkEzKAg PoInR0k3KmCQ0I41mIYFu5PqEV2jyH5M89kl8y9IW0JnUoBlAX6/OgFz64Oo eVlF+rXiBLqztO884Pf6H0E6aAU= "]], GraphicsComplex3DBox[CompressedData[" 1:eJxlmHlUTesbxxtwi66hWQkZktB0JSRPV+JccXENSWlSSBqunyINJ0MucVMU opukFBGSDKW3TuKSDKdUSqWBIp1OZ9jn7KbzO+vn7L1/a++/Wuuz3vXu/X7O t/d5nm3sE/yHn4qSktJ4ZSUlVflfh+I92RVWGSBMWDOUmNmLvoxU1nbOk0Ds uJ9nxo6qA+OmNfdksl5kewWNWKYmhebEhnc/f/hMru+qublkgpsUNvd/n/T+ TDvase9OSmFgN2IJtF/KPmJwxjyM8zCYS/L0AaFduIkEiOcS3Pmg4cb6WAlk bFs/12ywluR64tq8MV0S8rkE1xpYkLHOSQphi5+tUDXgkzyn/pOT2yUpDM65 nMleKSZ5VmjlR+VvUljoZbpq+wwRsqlxOhTo9gWZNl/IFqdjsL0prb6qpwfd GKMVE9j4BaXH7Rx844+R5yK4//xXlu//os5F8EhYuMmpEyPPRXDuxbCcq67U uQj+tfHf+LEvqHMR3DRKU83MgjoXwXViG8wtT1LnInhYevuN4SYpHDY6oDK4 r5/ksycc7nthioPauPVeBzJkQJz3WnFzkt4enPTAywjdMeO3NmQjMSgZtZHy QPCBCY9SOzEx6YHge3UtLRpmUh4IfssxZdlgJuWB4AHX5xz7zZzyQPCu23/5 4LmUB4I/ids2XtmQ8kDwZ/PFk7mRlAeCR0hNK+KqKQ8Ev7PVW0PbmPJAcK3A a4ZDO3AoWa+c07IeR37/y0kjwv603p7yBCP9ENwhXZJ0Rygm/RD8flzKhPvb KT8Ef7jk2BuN+2LSD8E3JjZuLfGm/BB8zbngW1EjKT8ED+xaVP0mkfJD8GhL b5NAdcoPwb+/bLVKDaH8ENyOv43V8pLyQ/DZYRqqHwwoPwS/qSqKYvvgsFJJ x7N/p4oDwVlGkvzVVylvP3xykfuht8vnpWC0XHGRl/ltzop4MS1XXMQuqpEl nxPRcsVFp866zgleIKblios8S9IPphvTc8VFbv8x7w1rxWi54qJszXj3uxH0 XHERtvO0vdqAhJYrLuL8qx/5ZQc9V1x0RNqda/WUnisuQpNqBIt16bnioqY1 A02bPClvBD80kyWxuoLDltntLwcmDSvOxUGbnYqRxEZC88lBn+0i9Adj6T45 SLf/pu4FO7pPDqqpHl1mv1xI8ylf/yUss+y+iOaTg56sw1yVusU0nxz09sx5 afFTuk8Osph+qPfJbrpPDpKGXAr14dN9ctAt611rlbzoPjko2Gdu7x1E98lB 966f3OaiRffJQZ4NLRlnt9F9cpDvMo0Eh3QcdL/HhhyvGkFyvasezUvqcdIP MrIrWuDUWrRTbaX+t5N80g/B+y80u7zbQPkh+FyT440HKig/BG+2tC1+dJfy Q/Aq6ycX+J6UH5I/L5sh+kr5Ifjtg1wPM3cpDCj8EDxt4pbWw0+kcEjhh+Ah YSUvnTRx+Enhh+D8CKt5rP/zQ3AnCw/+YbkfjXDl+IfDhB9rmJw3+blvE/3/ lwPm93tfle8S0PMGysfOH+D78Ol5g1TLVYn4yD563qDiWsxYLVtG3uBEz+Cg 0gNG3iA3/2zVrBuMvMG8L04PpG6MvEFR+aqm8V2MvEHB1mepiW6MvMG2qNHv y54w8gYzjyVn6TLzBhFdd5dEezDyBl961HYpZTDyBgY85XcnGxj3IdilTXx1 f4KQfh/C2aJASWN1H/0+hNstlfrWrgL6fQi31rvNHfCi++RCrutx1xFldJ9c CCkcxNLyGPch+GscLjfyZNyH4OmZsbr5G+M+hA9B7rnOHoz7EGxWXlCPKGXc h2C3yXsfV4dxH8Kdz6di7bwZ9yE0TP2psziTUX/ByuEhzi4W0usvGK0c6agk EdDrL9QaL9ph6Cak11+onLKn079ARK+/0Ll/oe7cT2J6/YUxYa8+RJZg9PoL GbN+W2jrz6i/EB0pm7BeIKHXXzByb9u/yZdRf2G7x4jhWxWM+gs7615GhTPr L4SapETF+DHqLywMzm55mMPo3yBO1rRr6kchvX8D/Ubl0R4m9DrbBi0tTjue 69HrbBuE3JP3M2MZ/RsUXVPVs6in56oNRkjYno/DGf0b5Kkf0LEcpueqDQx0 YiyTAhn9G1hsP4VWVzH6N2i74tyuyuzfYOyUmX6sAJzez8Njo9NWjw+J6P08 oIXmm+OqRPR+Hky3mB8+EyWm9/OwtGxff8cKRj8P107O9LmJY/R+Hua8WxFU d5rRz8Ms+wJzo7GMfh50S6f/Xh/O6Ofh1FHuVPs6Rj8PCQbac3xmM/p5UGn0 8i/5E6fPX3DPoKZ9qEVMn78gwPLSDPujGH3+gg7Hq4LWqYz5C/p00/dfusGY v2BpgvjfdGPG/AUJnmZabccZ8xfcbE3K3touBdq8CQ9T7d0usqjnKuZNCDIN dfr/+YhYX3Cc5bJ3gdzPy57af7oGFLnNB9W7Om34OCEM1GuHGxdhJJ+Srbe2 WMqn3c/58DdbOWG1oQBOjRp54YDfMMmlohStfxqE9P2R87xZiR94GHSM8uUN /jKk4Bkgm6U/T7pTCFPj96Ol//STXEPGY2ORAvr7IEutDdN+x8XgrnMyIWaU lFzvkmBjMeTbBxdT07w5wWKShyZO1PZR50Nop51h1t995D4nu0LHF+QJ4WN3 xcH1pV3k+7t/jpVq8wW0eyAfJHaa16o38aExak3l+f3D5P6LQ6Of/fGasQ/6 ODR/ZUoYxX/0Fe+K7rS7aPoZCiHdN//6OJducp9fW0dNT+zvIz3Xt22U2uJs 0FJ3nHK1qQ8KUx/vu5eCI/+ieD/f+2yU0LixRO8cBpa5rbq2e0QkPxF/q6Rk nRg+T3Q85R02jJx9jj1an89GF5DWMxsnCRiJqldvMB9ES70Fv+IV0dCZ55vW NSSAL+k/eXdlDCBDBVer2qC1olIA5aNYjWNGU88dd2UD+0gkBhdVBni1ShJU 7fVjfXNkgI0a4oPHbXPVPaEYmkLsH5t7SXsvH+x1gqNOfxSS+3TIytUe6Ith 4+7IE+YHh1H7rRMp4U9ioMk4eJ8xR+5tB+8oN2oY1WM1KrVzjqLkxNcWyisk ZK4UftDA3x+qBH0YncNqbJWPrEMAmtFGLllyDx0Te0T2Z9mQidQT3pYKwT2i 0yj5PI64ivdXLzFwjhyg/Cdseu3SepeNar3R6agTGJlD4rlsH5kzJhPTObyP Uqo9nMKHaaaG1mYaOBpQ7L9WeOb1xZI+8r4l9s9e5deTaSMm80nsn+N7Yer8 HCHkB3uvFAb2oetHtnCu6XOLemwiTwwnUvVa0NKheqbjO0qSmVV2izB4k5dY +LXuK/m9KGakhbXrW+o7g/q0e7LETB5inTzuP20dVV8IPuqptwrKpu4fYv91 k5vnsHhSWHjszz713VLyu1Bh8m48WoeaF5Iy28wbF3xDx8Y9HRp7G4O3mnO3 7E4Tkt95Vm2bzvt0FSPvZ2K9SvkevyALHNLLNgaxJ8nI7zAdMRabG+R1XLB2 eFPxsIT8TtL/otnkq3zO8mJrFe4qUXYgeE7AnPRl56i+aH63w4rGsE8os33/ P1s+YKCRE9SfJusnvyckfHpa9qs8P0SfQKyPgks37bJwCMp1VmtYqkrO7yGz zybtK8ThaIHbObWBQXK+zmzC957Qk8ANq2W18UtGkHOrnd3lzGOVjLkV3M8b Xk/tFtL3gbBczZHDyiL6PsDK/vn11zc4/f0hLtxkRpWWiP6ekFDnUbO3mOEB Mkuzrlsaieg+oXlVQLf1EhHdAxzfPuHNx1yc7hkOFJRqtqcyfnfI03mVky/P My2HYDt7+pu7p8X03x3cx0Y/fG2J03MFrzUnmHzSwuk5hyNH1TeXDYnpeQZ/ wzFT393B6HkGzdCSzb8kM/IMwuok10+dUjCydvjb69Vn1Olk9fsM/+8IbQ/R v/sVg9GvAvRz3ZrQlTBrk8baHhSXlek7aZYEajw7bJM2VKLh5B0NLAEPbb21 84KGfK7XHLKeq7ddAJ3esqDAgR7U/dz87LfnUhjXqjMtz7QPxS8Ligis7EKn LlZMy8/CoKp8lKjP9Tv6M/xFWGDRN5Tj0bJ8nbx/Tuby2GabMcT98NZ7xqIO 1DbUP/PsdXm/1GPmlRXUj3z18lXO+DahmwER59Q/YyBYfv9+319ShGfHOzae a0UsvECVX4HBpEfR9h81BpFvdjg70LAOmQdPqNqpJIEnes6XzBtUHXxTNHtZ f9Qipzv45sRyHFIdF7l/WjOEcrSzCwrnvUW1jx5cZk2WQKl2a0HJ2GEUa2y2 tLG2HNhr+w0OioVgi1s+6vcb4aBYD9ql03ZPrMYhJyZwKmuB/Lk/9oclvcb6 vQYikNyrvn6gQv7cH+8DB5c/O/39GQ6tOM9PVVXFQfH+YOOladAlnxMXvZ5t tw1TcVCcF3xN6vK58v+7gtIxlVO+KTko/MCd/orKZXE4FI6fO36sPKcKn5DL /wtCZuLQcnrpwvJrg6DwD6VjyjeOX43DiEWzt6glNSLF7wX6J87tmuWJwfnQ VYvHvesBxe8Lux/ET0yMlkLNFcePshoBKPIAx7OuXVaXz3Gfnv/r7uSLgSI/ sHWfQF9fIoXFjWnlm2cNo0nV2QMszTLQnt7M3/RVCLysjt8uL5KBj+O+F1M4 X1DR4ecfInbiMFlS9EtckRApOPQ9lUb3nRFBXOGyZtd7vehE/V7O0XUlsIR9 ZoH3SHk/s3qEftFjIfJVul4rqy4lOVFf3oTYd180KSb5AfPkciuBiOxnCF4z 11PPIUCM8lXT7PeqZ5A8++gRMx1fMcpZkMvR41Gc9ehpQnY2j7GPuKvggctK HjqlNLE4qvw/JFdbUHc6wISH6nUznlkduktyl472R1deidGgoj4SnL/3/YZF wX1IxeqgsaPKFpJrtNbdi4jhIVMseb34ti3J/wvrTKLa "], { {RGBColor[1, 0.3, 0], Opacity[0.66], EdgeForm[None], Specularity[ RGBColor[1, 1, 0], 20], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxNlnmU11MYxt9fUdrGZELNTFrUTGVKmxZRo00aKpXS1GhRSmkGFW1MYkyi IiRTMrRohixlRkih7P6wO3bHvh6O/XDC+5z7uec7fzzn/d573/u+z/cuz3vb zSgZW1zPzKanzOq7bejwT1NfK0czR5rjKPrq0z7CcaTjaGwDRzpWMZpjNe8Y bCNHriPTkeXIoK+xoxN92Y6WjqbkzoFHJmPpxG6NVewTsBn4pcErC6s5JzqO cxzvaINvC0cH+pSzI1b5hjh6O05xdCa3cp7qyHN0dXR3tCf2yY52tLvgK14n YZWzB77K2Yt8OeTJYW2GkrOPoye+8jvd0Y08ecRri18nOA5kXLz6wUP5+2Pz iJ3LnHw4Kc9gOInLIGJorC+xFesMfOU3jNwaX+yY65jnGE6f8p+JVf4RWK3f TriOdIxhrfXf52IV+xz4KecDcCpwjIar5pxNv/xG4auxscQQl8n4Kd54OInL edizHNsclY4tjiJiKc84YmhOIfkVq5lfkGq3TdxOIbbmVOEzyXEBMfR/U7H6 v2lYcZzlmOCY6JhOn3LOwIrvhVjxvQjf81lv/Zvyz6ZPeedgxfdi7GT2Zgr/ dwlWHOdjxbEEfuJyKVZcLnfMhG8xvvJbQJ94LYKH8l+BVf4rseK7EN/ZdfY7 7v8Y1msJXMWxrYV7pnNbZuGcaXw5PMT3Kqz4Xu24DL6lWHFcgVX+a7DiuxIr vtdixXe943pHueM6+pT7FnjEsaWOZY5VWPFaDY9S/JbgdxM8lH8NVvnXYpV/ HVY5b8Yq343E0/xbya2cUWelbxuJpRi3M0c5N2CV8w6s/O7EV3nuYkwxKujT v24ilmJsxsrvNv5TOVLwkO6rNkjPpfWqD9JhaXisE2mW1Am16+Fbt040J0YG bdWGFrSbWNBq6bjqQ0vaytGKdtT9TNZd52g+fdK8XEvqR7Yl9aM1OdrQVs62 tJVPut2efB1ox5rRgfw5tJVDOtsbHrmMRa3vRT5pamdL6kQX8uXRzmZcvFVb pO3d4NGdtnj0oC0ePWl3JE9P5vexpJb1pS0tlv6NIJY0OdYZ2dPg1I85sZb0 I98g5iiHtDefnINpp/MPWXDKZ04eufuzHkOYI35DaSuftHeYJbVkuCW1RG3V hZFwUGzpcKwJsgX85zDiitMo/JRvNG3dXZ0RaUoae9aKedJk6ZRqwx7HPgta KG2R1kj/FtCeSgzFks4tZCxqYtTIRYxFfdSYdEJ6ofs+zYKmKZZ0czF+UbOi hsmusESvS/CTbkhHdPaXWqKpS4gV9W6lJfpYyvqO458fdey3UBt1r1+ycC+/ c7xo4U6/7fjVgkb/6/jSgjbc6zjgeNjxvQWN0L0/7Pjcgr7+7fjEgn5Xkush x8+ONyyc912OB9njar6riPskeX50vGpBD36yoBG6rwMcux1POH5wvGxBS6Rp X1nQNe3TMtYo1pLlrFEZ6xhr8Az8ytmnWKe19rGua/9Vz3UmZrKO0xlTfdbe 61w8ZeEsbbVwVnWOB7IOOxx3469/nWRJjSmnT+tSwLxdrM8u2gWsUzX9xfyT Ykwk/yxL3gripPugt0F8K8kWEqMKLhrXGdJ5jO8Gna9Ya1Xz4ttiniXvjzlw KiTnaOYXkWcufvGdpLEGqcC1YSrczyLyx3dbfMeNZx8qWbMJrKPel9IvHbyv LdS6bx3PW6hLGn/OcQi/vY6DxKh1PMP4TtbwBeZrrvZe51f1MT0Vxpumwnn7 zYJmag91lp8l1n3E3ks+xd0P72341TJvH31biFVj4S5th+Mj4Gn6aomtuarH Ote6g+85frdwDnX2X7Fw/uM7IL4LNjBHb4KNjL1m4S7pHq1j/TR2rON1C3Xx HccvFmqF3gsV+L1p4Q7r/n7g+NOCTt5v4bzfQw69OTazZ+Kv/X7LgqZ0teTN sYm1qMT3P+ZuZI13MFbDem0nx9Y6ayid0P7US4Ux9cc3lv5PuvUZ66b31WH2 uIx9ll98q61hD7cT+xD7qj1NefxvWAvtufb+MfZT+ypNfddCzVX9+4I5Fexn DXGlbbvhfZA+5Xzf8ZcFrY/vyPiulNX+7+H/9P//8D+riDeAmI1TgV8jt4/j q/05wLj+K75H1zIuP+nWDY6PLdx36eIfFnTwI/Zbe10KF70Ry+GwnjmrifEp /MTtQwv1QPor7ZKWSXf+B+hHnRA= "]], Polygon3DBox[CompressedData[" 1:eJwt0skuw1EUx/H7b0pV0S4MW5VY8gDSJ7C0qK4ba8Mea+wICRa6lHgBT1A0 VXNMMRPElJhJmvI9ub/FJ+eX29vbc+5tMjvQ0x9yzrUjjLrAuW7qEurJReoG GlGLdxygCx04RIh9C9Q0fnGBMQzjCpeYwLRymP3jWvvCMQaRxbnOsO+O4Ayn GMIodvCKNiSxjhfr1XpHDM/KJazgAVWabw2PqNZaAU+aLYofnOi3radY4O8i Y/vJ39Qj9Kmna5QxiSnlG8xrbRt7uqtWvGFXvXdqli00ayabZVW92kwf2Nfe lM6wt9hEEz71Bmn1dA9Hn3PqoYacoy7ajORo4PMyGsgturOS7sxmtFl77Y7I t9SK3m4GkcB/ltPZceSd/88kyHfUP8w638M/LTVMfw== "]], Polygon3DBox[{{206, 259, 21, 207, 20}}]}]}, {}, {}, {}, {}}, VertexNormals->CompressedData[" 1:eJwVl3c4V+8bx0lCVERSmmS3UH1RuSMjpZRZGiptlBCKsjJCsrf42NvH3m57 U/YWiszPUWQmv/M7/5zreq7neq7nvM59v9/v++D9F+oPN9DR0bHT09ExkO+q PRlGd1ypKGsISzt+Z0Ay2rLpdRPgfdfCcBOFinUm8RKaR5LhwRfDDfIjBOjK pFt4sVBRur9IeZo+Bt7LFKqtjxOw/6jMt4gd0SjhUswrdboMpBbU1TnSCLC2 iC+4wZSOc1lzSxvCCkD1n3PVnTICajxvXoxczsC0v7vig2QywZY9/rF8KwGn C7jZYt0ysPX4fc5LPklg8rH+98dBAuaWNnowXEzHKtm4g8JM0WBmGiPI8JOA CLM1xZ7sNFQMKebRCwyDDs3eE93TBBgVH37wfiEZqYyy026n/EG2gI8yN0vA +vjO6eNLmeDUPcZs1lgGGxd74WQAAWP6Aq4X7ruDqCitR+ZsNShsjs0PsSfA 1wmPMjxPwqGbXXO2KRVAV6x+MMebAMuyFJlFoWw8Org50UeoCAqX+Bn2ZhBg trpi/N+mHOS7TLS2HcwES53JKko9AUR24ZmqoCz8PnXUnk81EeRih3P8esn1 9CH790kZeDXlmqipSyT4qWabNf0g4H3JqHRWExXj7ToyHpUFw9Og5T7nKQJE xbeNiV9OxT21/Sx6aT6QHpDbtp/8LkXNEvu9ZkmYXvK0T+b2R0jWPiWoN0dA StP8sPDOBLz+u5FDNcYR0n1XuDL/EGBgU9mmOlcAZ7avrR1MqgCGtecaUcYE cC7x1a6iN7hUukSde94A0s6eDYrnCKhkjkvdFJ2J2glz2Vt9quFEPXfMtscE qAyu1ky+LcDa5eB6M85iuCib8jTvM8lnvaezxjQfU6j7/ZWeZoAwm6/pznIC GB+anjlZkIO2JlOX9E7EQx1tme1VJwFFUdnHlJmy0DLB9Mryhwhg25LCH0zW W6HsxpqhrHSszf0ZzKEaAK1X3G3lJglItOFIu+aehkLybEn0FZ4g5P/GS4sg wKu541KyTjJedL2V/8nYBVQX2up7fxNg89gPGhIT8M5iiQvzlB1cXWWtuE9y EAl7anL8SRlsORLR5qedAU9CI7fHkfdvtPOP3R1TAY1rXZesDKqga3Y1klGU AAE9V8YEtkAYzw0RONvZAtqPG7jZ82nQzRQkc8q6GMdaL88uhdfBh+2LDfZ8 BHx0kdqq8akUTzP9DaWjFsF+Q+GXe50JEHOj7u7kLUZO3Vnb3g4qiG7/rsaY T8DmlxbDYy152LGavbbjcAz4MT2au032BevyibP0V7LRqsMnRGlzKCxLBazb DBHw8G7n2JRzBnoYawTtl/aB4wuuk9smCPiTEcjBqkXFuWveKd8nXWGTa4Fy MI3so1AtpogDKWi3oKPjtskBPhWtLt8l+fSIGrnbn0nER63/zH92vwEz/+T0 bSQfripP2dOdcWh91w33J5hATyuPJPMiAXckAqfMX1cCj8668Z99CbAu6XvD yZ2Av+fy/9CHNgH/tUWxtuJKSBGtC3uTQYPGGarCeFEgXGUYb5U60QNeR5Y3 P308A6Znm3/pNlZjaN7R8GeuDWAoQ/nxm+T54T8BGYvrlWidqWIQz1IAn+Ny W1oMSW7m8bHCuqXov+FG27phMpxZTmDmpxIwxT4m3FZUgONNd+YTBChQ0VV+ w6eZADuzFbnLz3PQstfxd86yHyTXMd8IIvWkO0l5iXY2Ey8KKPC6CnyEJx1z fv9IPRGWF/v4sJmKIQzHAtnCHYBPPt1iboaA6l2cq3fqUvCV+ZDesxtvQPxq ucf8LwKkYhL0MTsR8xWXkgaUX0L4Hv7UqnkC6nl4rWOOxaPXi6ZPkc8egqi7 QEzbAgEepv2RGa9KwOfDM/tCBjPA3Kl92VUEOLA3S8baVsPDbY2Bx2luMAFe p6NtCFhz7hS/pdsBpuFpaZKVOVAoEuknwkwDeNMVqd8YiadjFt7ELX8Htrip quGlcYhIKtTfs7cF0yz/VeqP1cLAGGWjsCQNbsmYPJ7cXItf0qZu31DMAlra +C46TbK/1Cu1eSfKkG+f+ZkHK9Gga9Vp/iqe1PPyw+9Y1YswN9uSNfxuICg0 LqfcayDgmBHd+w/auTjqmSe1df0j/NM+pko/QICe4ilX0+ZMRM3QjX977eGd kHImD8mTjidrR+2RdNxRF+WybGUB1KJyjUckT1MlTcMJ1VS8t2ODQHCnAQzw 1xwNJHm2ZA7EOHMm4R7pt9GJv2+BWFuLqBPJM4ztKqFgFo+RD2o8P5mcB70H tWdiSZ7/fU0emzSKxW+Mmo1BrIdx2YI5lW+JgEflEuYM/ePY/EpJ3cZnALQC Mjvs9fqA5cmDg/4qncia+seIN7QQVOVPLks3zgDcZ1U7WFyPj5h84WFzLOhW c5nOyROwwlP3RJuuAutVsVriRgCc3XugmCuK5HZ95+gBg2LUlMkSc1v4ABtu dB3jqCNAw3lf7+XFXLyjU2XkpfAWtm2c4/jaR8CoHdvLWxJZyKXyhj/vzAso HBJbfzxGgNNqTvfHF+mYdlzK5+3dm3BCXEh9kfSv3pyZzSfiUlHEI8k9juco PO213HOF5MP+TMraXCMJJWatNu1XV0HtnnsP1Uk+AmwDs2GR8ejfrMTEf+s6 Kj8RyrAl+UBJhdfhZ7GodDlCs8HkLvYfOL3/IMmHn/fJAavidrCxLY0f2fcV 7awcJMWOzoCguzT1KbbBoNQmvQAYRrum8n8vuSbgM6VtvPHHCDoE7BJeZevH YCVjry9poyB8JejQvEAXTscdoGwu9sT3Hy7mn2yfAYO2PeWuUQ04fq/gn723 AaR3eGlnyBJw4OrR4w/MKjCn3Yhap/cQdH48Um2MIKBh6yrLz+liTBXX/tz+ QhkC6nQzO2oICPFgujWqmId/dQ/ObGBUQSu3n1I7/8/TPaWy+EEWSj0MPfDR 4zZ6DFHi5kYJuLoxR/64Vzq+P/QxipLyAPdvX25KIHm6jGy4/aIjFX/GZc+V lT9BBd3k7Twkz7BJieYR0yS8LDeluexngJfrGDTESJ7GzDfaY/PjMahvd1uO sxGaSxf765M8zcpiwioosWR/2fyMrnyOJ5+V3yNIPVzg8VY1qvoCdxn21rq4 teA0pdzgdOEMCDguFy91l0GR4BF5T65vqFCS/skybAq2TVfufezVjpzdZSJ5 Z/qQcvx89gDHFFQ5r11YpW9Hm+9U+sWtRXg+yHLGUJwGgh0H7V9S6lGoUFNd UzsSx68cOnBHmYBl5bOXGqQrcDt3z6eJGS+sotz0aqCQOnwkXoSzuRi/LykK XzrtjKkOVfLlJM+rJte1t8vm4Wa+exZis3b4XWRT/yCZQ15/jXM00c9Cey0L K4nYd7hFiWaNJM/9sklUe5LnyhvPznMZVqhQZlRkQ/L04Vs/eaYzFS22cXte bX2NOZMygotkDgn1M+GeJ3nit80+KnaWaGAa7M9B8pS+rc/dkRePWuObOJlt LVCxNv2KGsmT6VVo/0XfGqATZbp1+nwL7rYNPJwmSwN2o5l1LS0qvKB5DddH 9+D2J6PSRjADWms6PuIP61DKd/CNS2wnntM5+NmQXHf4Rm2uy/qCjvwlvF9r K5Dp8foIawgN0raHBYcr12K3UKJB9Y50ZJJWiky6TsDELx/Wa4/LUdkyuX1a LhJnpWtLPscQkPy6JLqQpxhdU80q1zUDUOpImVB1LZmLPsIFv5FcLHThsU6e 9MSmwMSoQ2QdXpbOF1U/loXHSzN/bUdX5C8+59tAcmsb5OqoNU7H5XdS3oeN nJBFM8flNcmtyK1buiwhFd3ufawR8XVAvVn2nCmS25d7tslpZF+P72BdkPC1 w79ychaMJLfOPO4O/oh4TPVernDZZYtb9WzYFEhuyUrRv+XkI4CI2K3jd6gD p4bib1GP0eDL6EiPPk8Zmh/kHeCcaUWjKwxjqECD1pjY5G7nWgzZPhCU7FOF PgdqslJmaaC4q7XhsnYVjklpBIu9zMEXFKYbD4xIP6JcYxcTKUN2Zb+JaVoC Oo2yOD1PImCyN3hae6wQ7eleLXpORWCn1oZdWWS+NZ48PaB+Jhdt6BNvjmgH ovTe5sF+kk9gbbv8YkMmXl7Uis5q88ZR5TJLLlL3bPfu/hpzPB3r8qx1tAs8 kPPzSV5/kg8REXDo87VUnBPoVaHndsX5DUKGf0g+ac/9TeZJX5AWoNe62uyE 4SZc3zaRfC6sMbWxifrA3ZVTT6/uaMVLDOarGVQa5MhH6ZXdzCNzy2z0s4Nf kXWFiNrfQgP7P/vuGbNU4KxHdZugeRUuvKZ/GnSMgExKzp2pm+UoxdMgEuqX j4a7mLt77cj/GO9+Xk4PUYHJnL6uPg1ZhvNfapA5/8bPm8tO1wvw4Y6G2N8P YpDhF/9NtSYClOv4c6yu5+DYvv3O64zhKPbAed+ffjKvhl/jPgqZ6E57QQ0b DUBH/w9ffEgO/4inPONtVNyiI2/7XtUHxylTTG0kB809HwarvqbgAGujaI2o Jy5mf77ASeqVztxVFabyRKRRHO8e0XBDT69bYpwkh/cjvl4jY8U40uZt4ORe ifH5h//N3CLAiu/W9TBFxNHZ9LdqvIXosrNPBXwJoJTFZncqFuHJ4TtvNi+l YxePf6EHmT+l8vZV93nlIfOndQWmTQlovLWT5cZXcg5irdh2TSkbaVtcZuQM IpFbpe21Dpmj7i6e2izumYHnpQ8sWb4NRSHJP2fkSN/nHvxtDHeo6OJZNp00 74/bxrd0HCZ9P6zz7rkey3wU2VuVnHU6E5WOzihwlRKgRJTOZ1NzsOwjoebY noQFM+fcg9rIPM8f4VZwJAtFqNytfdRo9Ak/4tj4jYCAJbODS/rt4LDMmDyx XIlSwZvZjwzNgNSzi3bqEr0gLlHL3MHbgb9r6bFbagpstphF/BTsAs4Tg6n5 u5tQ55wrrxdtGn6+rd6253Ar/CkJFthgj8iR8COwx4gGHE03uZlXyyDzueyz cg5LVOMq2kRJJWBcLW+TVkUbKHafzd5YWYrFKiznHwvQgPEM/Y6kwE64al5E 0fhZjWPKTEqz92fA+rnC/Je2ZmB4ZLd+r88aJYruDMVvJXO4sYwNo0AvaMhy GAlKfsXlsfC+DezTkDKad+2y4iAk2rPayR3qRi6jlSdf3kzACQv+lvabP+BG laxDdUQt6F8r3e85/hOUZ9sM9xgO4zgT/8NDHbFQvkdtZ3rTJPz4aRWzSXAS TVwvMt753IzWE7ly92qHoFjs0r6Pga2wee22+/qWYhx8l5F0+jENjIduZ8f+ 60GT2VcVH0XbAS+9ZsozmQL32hO/M5SGkJLbMmOBdTDcIH1+rW4S+K5IiH7Z OYaVY2zPGZ3KoSczjc06dQyUaMd/sUn2QCTx59M70q/WCi/YdMdOQyZbibHA cCUIR9J9ZTCgYNgdCRfLjwTs/PLd0E2hHUY0UrOPVRWikvf5pvtCNOBRPJ7z JAph17ctksnP7HHhl5f4AFknktHztQ6O7aA0edwz+FEFnv8ebP9qagZYCeV/ Z990gpbmddnJP1XoK5e3RdFsBv4TbjX7YFwHYuH9Td2Z7hi9zfRV2c3/z8Ue rHX2fTAT+0yB+rcV1Y4bqfWoTEHtvbN9t9MH4UHS2z4PwS5006b8veQ3AW53 TfylnwyCnYOqRr+eJfwbdE84JjwN6gN8zPn72+CYv/vP9UOFaLipvffaDRpE XX/Cn2FWDF79Gg7Sky6oc8JddJX0keBkjVLL6jK4bVLjLczmjVT6AiGdNALM N7N6NId1QL2kxmsp1XKssm04y181AzPYycY23wpn1Xu1xKULUdP4ifqIHg1u lJ/2p1G74VnXvlqD57Uoev8ap8rINCSdWBjLMayGRLbSXVZTwZj+7Fyg0TsC tPL69siqNUNTAFdyXm4MpjiwaD7fRgCz8Sz+DR8Aw9g6eq2zreiywT9lqW8S It7FnHvt1AOlPLeaa+TqcfcL4YEfQdPgwue1oC/UBeK/k/++k8vCAPEXT93z Z+CmiKOKhcwYsAXV1bd31WBbGe9++jNjwHHltNKCwz3ZxfX/PwQoFB2reJ12 V3b+0FNm4+uRGFD87oG+Wyl8VU7mWskm503fa1pS7E44Fdr4RJFSDjFPY0GF nEemKlu1MsxSMFByMuikfj4MNQvpr5J5e8cFOvEG3VTUGluYFzkTDkGq6p+q SJ0RdU3lv+qYjNPu3psezvqDKWEcJ0Xq52GnnEY5oyScSXhxanu9NzCEzVzv I+ffluWctdqdztCV5hxQ4VABRfxK3NnhBKQnjvlVyGZAh9cx/a3ny+E93VEB wQDS1wj9U+aYiNU3vdy5NDzh8ydTvao5AsL/Y8uvlk1AHtOka5b5TjDttD7m TM7RGy/afDBRKwZlr9LkpMk8mK7SbViOJKCVnSXKcT4O46X5+RUNrGElR+JL O+nvYjZd1N/rJZAg/KNwj3YWTB+P9oxMIPV8h5AW2dagx+JKfRWdDHy0329E Mkk+n5otxQPikKE8pnuDvAXYRemNi5K59IBCgQuvQByqaOcXT1gZg925g4Kf yPUSPRHvHQ4IWzufRgydCoEXzxara0vIuX7iRdzWhFjMT3ywIc7yFpRvkuz9 Q+43X3YpnbzSAowroZ0MCuXIEKQh/NmCBtZbBffPf26GtkrT6JGEGnzT5pMa YUuDf38vNA5xx5H+shQsNm6OZ/NEQz+Q56gxKdfd7KqFjrQK4Ehuwkdv6i/H kvvrR7a+MuqLQ7NX7MPDD21QZWuQUT/JwXeH46WApAp4JMaX/YvyFd80OY5n 2dEg1KPr8WW3EjjC00r3KqgFO4c511ScafD0HbVxyTEeW2jpbkJUe/ylYk+R I8/ZkTnPl8eegAG8/SaTs++R5Z93DJL/5Zu7SSnr60yEsBzjtyxNOBrjGbJ1 OwGn9zYJa8nkobyHDE+9Th1q//53+qoUAW68qyOOuinIeI13S4auN9bhCdGT ZF3F9cvLRr1NRZeGPwy33/jih0jOry0EAap7121MygqR/XaP/ZejlZhF2RMX 9oSAvYXN2zUHC1HKj1/mhV0hZvgeMQ8h621l16WAnxszsEqU23T0UTje+pdQ 3EL6aVnZ+uVlSSqm1Gsymm0LxMd7DJjVyDo/s+vd9+mWUHz8166PeqMMzp9z mtubTuZ2RUGJkIF4VPJ9W3BDrxiqcyUUxUj9pDPuFMDSVBz6YpQyWpoL9k0H 6JrJ3PKz11Hjk2sKJq59d9HTCAF9p0Sl5+T9+dIyq+anoyBjy+6dQZ4V4Hbg 8NtXQQT03X5U7ad6H8oznhEvpStgnF2jeys5FwuvHr/lwFwAEvU/hhwFSkAj canodCiZB+oUH/pXIkwfzU2T0aXC54MSP1pI3Tt/mPtV2I4SEKmnv9LNkwsq o08+BJA5fG44ldHtB0L1N7E/g0PRkGSjNqtG5pOe+LVuSlcs3ulTONzC8QjE fwzIfSXrymrhGvXwFYS3/8X+iQ7xA8fYB0yp5PcObWc+JCbYAglbthccTS1H eeuBId3XNKDji239sBCLPDUSJWp7X+F3Nd2uGPKcFfH/trx40Ai6+v9Jb1Cq R4oL/YtZsj4lonPZV0zicJhNTNjqlBVWMS2wS5P7N94Jjp/rikeRM/O+Kazv kZKiKPyHrKtdjrcM33PFY4Rh5M3wPFu0CafTSCDr8G9M4sStqgQ8drvcSJHq jFMvZJU5yP2UZo8Vn5oUFNTKHdh/2Ac/PKYzTydzb0z9OLVYIhk3bbPn3XLZ E3vkBkacSL3SdLm0NUmniOy383SJ8qX46JnOf32uBET7SrJ6WmXg/CGOJonc CEzvlZSVJXNmx2pP1NzGdBxplxzedTEEP4YIdv2ZJPN221raiaw0ZN8KnBcK /FEj99WKHI3MOX2Jzfeft8CPtZEfe36V4bG5mh2nzGmgO95v8PVkAtJL2p1n s3ECyqTeJy/y/pdLDD41cNvDa4lI2smJFuSxKxlTz6OBbOud9xWHh1CyXJJj /tcPXOJK2pa+Ngxp7+cfs5W3wazRnWjd5yMobo+iX6TGIV12YkTiahc0hwwP rLMNo7tXMGx7OQ7Jzv6j9yr7INcm6uS2i/24d7m2zHX/BAjUW4YPaA2ClW7M 8ZWj3Tiu5TagbToBi3lx6rGyg+AoEDHH9rgbvaZWZvoNJ8A+3OofxXEClY85 Xpwu70bpoBDr4c8D4PFQ3GzZfBLZo3usT0r0QcSXSd6dHl1QxZhWqmc5iZO+ XBZdpV8xuEf/l1HrN3geU9PwzOMbLPxNseRl6cALCcEs1dUTMHwkLP5f1nc4 UKk+AHRjeKqvp6wvvBs8aKyfHKwmUP/pWAHt1BB4ywkFrvJ3wP8AuiKyrA== "]], GraphicsComplex3DBox[CompressedData[" 1:eJxlmHs8Fekfx11KKqXODCm3Lu5JurGyeoiiyKYoFYWOQh1aKxFFQr/KLUVk E2KFEMqSyzOOVa7tdlhal3KrlJyQ++X4nd+vMzP7mvnrvF7v17yemec9n/N8 v99Z4+RxwFlESEhombCQkCj/17D0bHrVphTwLWrf7K3UrzCx3zjSRQfBQiSX KIeItYA1HfsK5ua+wloTtPGzIoK9vdX6esk/74nr347LzNddjGCHpr7I/R3d A095PYkvZPXD0MFyxxI3BIvW8mYXeXAIrq1lOt/eFsHw++I8xNIAhBgiWIq9 labGTDPBOR4RLhOq5H1xftC9cH36MgTz3v5it+iqQYJzx+qClKYZ2Mz6B6kB pqMEz/1pecfFjwzsBwe1vSeVRuC2pl1XWMc+wIhR+89lvgh2siPxTcPAAMxc jASy2j7Ac3s1bK5dI/eFc57icnGxQHJfONeTH+Opu5D7wjkzVMUt2pzcF84V xm49+X0juS+cvwoHHG1pcl84b7wZbrZxjtwXzqdMbmb4fWZgQfI+IjNeU+Q6 j3paqlsYmLiklYNPyhzA98u9JOEx+oL0wE05f0ppTzc09yhLnQwjPeA8vk+K ZZRKesC5v6pPdXAc6QHnG9rvG5f6kB5wXrazeNjlEOkB5wpGKdMzOqQHnLvW ai7TlyU94PzDu9D6FyII4QHnk9zJFJkB0gPOzzavtyr8h/SA88ZbR5f8WM3A yq2EH72zmoTO/89JG7wXdWH6jidC+MG5+C6xjZJppB+cn6ntkFxaQ/rB+ef7 TquLnpJ+cF5pFl528zrpB+chpn19CQ6kH5zP5p8/cc2A9IPzic6sRUmKpB+c 2z+vM22aT/rB+cI8zSDjr6QfnEdIXkF2tZF+cL5B86XXsRoGZiokdWLqtIgh zl84h6qqFZPevvvkwAqJZaJP/BBKrjgw0DHuoWs5NVcc+APPsslmhporDtxW zbp+oomaK/46swnbbsdTc8WBRlE+cfddqbniQPdHq2eXGlNzxYGrDnaa6K2j 5ooD+6YMnhmJU3PFgeNaez5xB6m54l+vHHn3bDs1VxyYfKSqXbmW9IbzonWe zTl8b7bqPbXTcjzBvtiwUtaGeckaofhkQ8Xjypb+gVSfbBjNjbOUaqT6ZMN1 PsK9/ftRik/+9b+o9N8Yofpkw09xLwz006k+2ZBppiBdf47qkw0tek++MTel +mTD1v0dhd3KVJ9syFrtZji9kOqTDf1RXxnJYapPNsza2eWv3EH1yYaBOmFn Ymk+2TBAzki7n+9T+kvIuf80zCP4geDHcl+yGIQfKK9forOrq4TntvmV0Bzp B+etoRY8sSUo4Qfn4euc5O8/If3gvNNB533YedIPzp07Ua25PaQfnCuXIOaX VUk/OD8bEVk6uAjBpgV+cP5EhZtwj+/nisAPzv0j73S58v0sEPjBudyrcbOM f/nBuWmyZlwr34+Er3BEEQ/3sxlEXfFfm5JJ/f+yQT0Qd6y9hlLzBuLMFXTA Qilq3sBQ0tBX/05a3sBp0dQoHRSl5g0UDs2T0n9KyxtgGb5z+PkCLW8gvMBT ZXYvLW9A3X9IblyVljdwJpYxIL2YljdQES787gY9byCy7m3mNnrewGT+iqpj 9LyBxCGj7X70vIHoPFEH2yzaeQiuVxl0hdtTfXLAlnKXQ/OyUep5CDS3LX+V c5PqkwOybTdcL11I9cnn0t0Gz/No5yHwnwuOPehNOw8BL+NkzxaaTw4wjJGt MKb55ACn5SxXl0W08xCYy7691T5EOw9BTcv630Pp5yF4/K3T83EN7TwE3cyg VfVFtPoLJOSbbdo2o9T6C6zagoz1mSi1/oKU3mcXt5qj1PoLlJVdWztHaPUX KEgWWg5m0OoviJF8LW/nSau/QLtnU2i2Ka3+gol9f0ieVqbVX7A81nzsvTit /oIAqcqmyEFa/QU7LrwesaPXX+DX07E1oZpWf8Feq6NyDb/T+jegky2x/ZsG NVfd4EBh5euTMtRcdYPVz/IvLmyn9W/gR6xD0jKR1r8BV+OrEV/P0Po3cHgj szSMVme7wWOND5Yea2n9G+CoKpnFitH6N2CBOio94tL6N5Bk8vOx5/T+DVi/ n9qu/pLWz4MM586XYcIotZ8HfYlF5XFcWj8Plt4tKohl0/p5UD3zm9TOKFo/ D7Rqn+tHnaT186DBJ99n/g5aPw9eyd8V91Kg9fOAYVBiGCKKUPt5MHpTUkLz C62fB14qATUp9H4e2I71F9+sYlDnL3BG5ae26Qza/AVmHeQXfwmkzV9A0S6h hX2ENn8BO1U7b2td2vwFxGvE1t5eSZu/wNYY3z/Zc7T5C2SPHM9U+sTAKPMm +FzlVdb0E3lfwbwJZro/sP89H+HX9y/yLD+OIlhQ7UDz/b5pQW7zQQtW3jbD P2+n36C+a0rGCL7f+LJhfQ9KOZ/zwbYGY221BBQLE5sf5+PMI3hrrr2k9XqU uj6scpz6anIKwXrFmNyZLbMCngJk1vHMZk1RbHXEBbjj/hTBbVhmT8uCaM8D LVxy69IfIpid1M2oQLEJ4nqRGm/x0moUu/droiPbY5TgJdUGf6YoSmHnP+rL poUPEeuM5qvst9RBsfb+qotWWB/x/BUFa6XHnKnnQD5YlQjdQiWksLZL++ru XuAR69dGpqac0qKtA5MHvEVsTEj+va94XaK5NUdy7TEUS2LmZ0ge7ifWqfYK Wnz4Ien5Tbf1hO5kAGh0+yUsOhPFCn997lUQPwldSyKcmc8C4NaxHOZ5fwTT zuqS1j07QnDvmrjUugYEe7/SOMzRmwfNnUKLrfID4GYD2J29H8HkRxotDmrN wB2Ow0aTVZfBceEszStOKPYhaYFjX8o0lBXwZj2PP9U9UKxSzKxt8SLyvk0m Hl6tQQh2T2Sa2yw0Dhsdvl/fue/Tbr1hFDueqyV69vwYVBSsk2h+ZIP3fCnM QMrjUmT7N2IdxQ1IdEMbglm7+V/XusiDPdnX433LAkEyU23ccxPf2yluMOcS D74ZaxJpXh8MC/6zX9xvP5lbgR8YX9OQdNmZxkGIR55fiQuKMS7LH07je+hd OTBicDsAbCwz0n7JX9/O76N8zN1JyBE8f+ylS0Zy//IfZfPqcFdeAEyxth5M CECIHOL39bE2qZhNpnHwcMkfifemUWytmuxmDYlJOC1Y3+TcgyTrfLIu4+u7 t36WiebPa3g+8fW5iIIFVxfF8j0cTb+xhmDGVVv2bzKckvuK7/P8DMh6NPyu VzS69wvcwvJ1xJgI9mfOrcJPLZ+I70VFZ4oWvGeR59jCtQVzt1K5cPei7uLh feT5g3Pp0qzbiyfI8wdfPzjNYo/rB369CP15aKHbBPFdKPPap5iEdnJeuJPa rdWm8xnqqDfe0eX3UX8xNG3dEr8R33mqbEpkRH0R4nzGr7ed6Xuu2MzAkiqs 3QPk5ojvMJ0WReXB/Do+/BPPppQ3TnwnuXcxbFEFf85yCEAKXcqFDXG+8YDe Y7dSsi/a2m+4u827E2pt/aCZxq+/Eo/cpxLnpojvCSMjnJ5Mfn7wPgG/Xs9e 3vUxv79yzzIXb90hSszvpU6KG48/ZWDBT4/Fik/PEPN17rOQcRk7BMvctLM5 4sd5xNy697hc1spc2twKjExn1VFVlLoO2B40x/Fbg1LXAbsrsU6hHAb1+UFh xPbF4vIo9TnBlguaD97m0zyAwdJW9dxVKNUncDjqGs9loFQPQKcpYPU8fr9E 8Qym5m5Hsp/T3jvIVl2eGdFEyyGodfLrXFpOe+/gSobSby//puUKMPvgXtEO BjXnYLyugncjhZZnYHDKSOLleVqeQVPkncs5M7Q8A9mJtwaifQxMfrNhuEP9 e/hx1yZLJdcvUA1VWxp5GsEW1Z+RyTrWAZO9N6u0NQ/AQlFZ/a22CNZ0olf3 zsE6yIs51Wo2zIVsIw0tH35/y5jdrLni5DD46DjnzpoegAp+PrlC/H5Vsktq bY7aEIzY6e7HquuD519E10X4IFhDpdjI0JEv8GffGm9WyWfobiNhfJrfP8dw uAEah8Yg55+/HJX0emESq+pG7P/muwENhzT3KchckS8SzeyAmgfSuEUuCDZs 8uzZ0LUJOJkeYdwW2wX/4B46GMD/X8gVXzZol5iBzHTfAJZsC7R8PefQ5Yhg ZSvME7RaRQ2Z8YyvZgea4YKKEJ50HgP71VjPrnPfLHyEpj8t3PAXTNlxSNP1 KIJhaNfT8qU8GLJGY0dbcyX4IT6k4VclFNOd1C6ecp5nKLgeIJdKJrdmM7BH gazVZjr8+35fH+zJ048Asig2XtCY4VPFv+/35wFTCQe0DZ8wsK5JrrOoqIih 4PnBohi4z4g/J+q9Ute3HxMxFOwXBJ6MSN/N/989xRbXKX4WMhT4AWdzDiS7 QQZWuExz2dKsSSDwCQa0nUwevGFg7yJ3/FD52wwQ+AdqbggYf8XA5ump24rf aYOC9wU4NxQubrqBYHfP790u+XoACN4vMAjoXHJYhP/ek43b55qGgSAPoPDq 0S8T/Dmu82W13S7mGBDkB4hELbDc1svAtrclVh5S5UG5xvRpM0YFsE6VeJPG /79z03r3PNCbA07GXjWK7A/QxYJjL8c/3xTGS7bcKPkGBRy0TYeM7JhFsLjC nW+PFHyFh994soP3lwPz8AdiD1dLYSyLeTIlz79BM6GM5rlGjOB4fUHPGfTf Uykl+CmtmMpNwyNEP4Pzes0TKwzPjEJj0UQDz4UpBL8dfFVDijkK63Wz2Cu4 JLcv/iMqPZ1LW2e67+nvh025sFN4Zemlyl8IvlSnJfKMCv9/Ip3yYtOVPIKb 9/YUJ9ePwhlBfcT5oOffB/U8hqDepotrjEVsCS7d1VLgF8iF2HiM1WiuLsH/ C7G+Nuk= "], { {RGBColor[1, 0.3, 0], Opacity[0.66], EdgeForm[None], Specularity[ RGBColor[1, 1, 0], 20], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxNlnmU11MYxt9fUdrGZELNTFrUTGVKmxZRo00aKpXS1GhRSmkGFW1MYkyi IiRTMrRohixlRkih7P6wO3bHvh6O/XDC+5z7uec7fzzn/d573/u+z/cuz3vb zSgZW1zPzKanzOq7bejwT1NfK0czR5rjKPrq0z7CcaTjaGwDRzpWMZpjNe8Y bCNHriPTkeXIoK+xoxN92Y6WjqbkzoFHJmPpxG6NVewTsBn4pcErC6s5JzqO cxzvaINvC0cH+pSzI1b5hjh6O05xdCa3cp7qyHN0dXR3tCf2yY52tLvgK14n YZWzB77K2Yt8OeTJYW2GkrOPoye+8jvd0Y08ecRri18nOA5kXLz6wUP5+2Pz iJ3LnHw4Kc9gOInLIGJorC+xFesMfOU3jNwaX+yY65jnGE6f8p+JVf4RWK3f TriOdIxhrfXf52IV+xz4KecDcCpwjIar5pxNv/xG4auxscQQl8n4Kd54OInL edizHNsclY4tjiJiKc84YmhOIfkVq5lfkGq3TdxOIbbmVOEzyXEBMfR/U7H6 v2lYcZzlmOCY6JhOn3LOwIrvhVjxvQjf81lv/Zvyz6ZPeedgxfdi7GT2Zgr/ dwlWHOdjxbEEfuJyKVZcLnfMhG8xvvJbQJ94LYKH8l+BVf4rseK7EN/ZdfY7 7v8Y1msJXMWxrYV7pnNbZuGcaXw5PMT3Kqz4Xu24DL6lWHFcgVX+a7DiuxIr vtdixXe943pHueM6+pT7FnjEsaWOZY5VWPFaDY9S/JbgdxM8lH8NVvnXYpV/ HVY5b8Yq343E0/xbya2cUWelbxuJpRi3M0c5N2CV8w6s/O7EV3nuYkwxKujT v24ilmJsxsrvNv5TOVLwkO6rNkjPpfWqD9JhaXisE2mW1Am16+Fbt040J0YG bdWGFrSbWNBq6bjqQ0vaytGKdtT9TNZd52g+fdK8XEvqR7Yl9aM1OdrQVs62 tJVPut2efB1ox5rRgfw5tJVDOtsbHrmMRa3vRT5pamdL6kQX8uXRzmZcvFVb pO3d4NGdtnj0oC0ePWl3JE9P5vexpJb1pS0tlv6NIJY0OdYZ2dPg1I85sZb0 I98g5iiHtDefnINpp/MPWXDKZ04eufuzHkOYI35DaSuftHeYJbVkuCW1RG3V hZFwUGzpcKwJsgX85zDiitMo/JRvNG3dXZ0RaUoae9aKedJk6ZRqwx7HPgta KG2R1kj/FtCeSgzFks4tZCxqYtTIRYxFfdSYdEJ6ofs+zYKmKZZ0czF+UbOi hsmusESvS/CTbkhHdPaXWqKpS4gV9W6lJfpYyvqO458fdey3UBt1r1+ycC+/ c7xo4U6/7fjVgkb/6/jSgjbc6zjgeNjxvQWN0L0/7Pjcgr7+7fjEgn5Xkush x8+ONyyc912OB9njar6riPskeX50vGpBD36yoBG6rwMcux1POH5wvGxBS6Rp X1nQNe3TMtYo1pLlrFEZ6xhr8Az8ytmnWKe19rGua/9Vz3UmZrKO0xlTfdbe 61w8ZeEsbbVwVnWOB7IOOxx3469/nWRJjSmnT+tSwLxdrM8u2gWsUzX9xfyT Ykwk/yxL3gripPugt0F8K8kWEqMKLhrXGdJ5jO8Gna9Ya1Xz4ttiniXvjzlw KiTnaOYXkWcufvGdpLEGqcC1YSrczyLyx3dbfMeNZx8qWbMJrKPel9IvHbyv LdS6bx3PW6hLGn/OcQi/vY6DxKh1PMP4TtbwBeZrrvZe51f1MT0Vxpumwnn7 zYJmag91lp8l1n3E3ks+xd0P72341TJvH31biFVj4S5th+Mj4Gn6aomtuarH Ote6g+85frdwDnX2X7Fw/uM7IL4LNjBHb4KNjL1m4S7pHq1j/TR2rON1C3Xx HccvFmqF3gsV+L1p4Q7r/n7g+NOCTt5v4bzfQw69OTazZ+Kv/X7LgqZ0teTN sYm1qMT3P+ZuZI13MFbDem0nx9Y6ayid0P7US4Ux9cc3lv5PuvUZ66b31WH2 uIx9ll98q61hD7cT+xD7qj1NefxvWAvtufb+MfZT+ypNfddCzVX9+4I5Fexn DXGlbbvhfZA+5Xzf8ZcFrY/vyPiulNX+7+H/9P//8D+riDeAmI1TgV8jt4/j q/05wLj+K75H1zIuP+nWDY6PLdx36eIfFnTwI/Zbe10KF70Ry+GwnjmrifEp /MTtQwv1QPor7ZKWSXf+B+hHnRA= "]], Polygon3DBox[CompressedData[" 1:eJwt0skuw1EUx/H7b0pV0S4MW5VY8gDSJ7C0qK4ba8Mea+wICRa6lHgBT1A0 VXNMMRPElJhJmvI9ub/FJ+eX29vbc+5tMjvQ0x9yzrUjjLrAuW7qEurJReoG GlGLdxygCx04RIh9C9Q0fnGBMQzjCpeYwLRymP3jWvvCMQaRxbnOsO+O4Ayn GMIodvCKNiSxjhfr1XpHDM/KJazgAVWabw2PqNZaAU+aLYofnOi3radY4O8i Y/vJ39Qj9Kmna5QxiSnlG8xrbRt7uqtWvGFXvXdqli00ayabZVW92kwf2Nfe lM6wt9hEEz71Bmn1dA9Hn3PqoYacoy7ajORo4PMyGsgturOS7sxmtFl77Y7I t9SK3m4GkcB/ltPZceSd/88kyHfUP8w638M/LTVMfw== "]], Polygon3DBox[{{206, 259, 21, 207, 20}}]}]}, {}, {}, {}, {}}, VertexNormals->CompressedData[" 1:eJwVl3c41u0bxkNJyCjRojfJJkIvKVeUpERJGYkyUgkhkhGRkWxlVdZr7z0y Lntmz+yR7OdbVkry+/6ef57juI/7uJ/7/jzndV7nddTAQt2Yetu2bSxU27bR kN+uQ65pet5ZuKwZbcu+lAPyzh30+v0EqBnRLO6IyUJJ4RHxmyJpUCDwjlph goBdpfueB+zKwof135QWqeKh3GzP9a0ZAtJ7Mu9G74tD0zszh6RlK0G/KEad NZOAc6xcMjo7s5Gmf8869cdPcDDToUavkoAffD+8Yn/l4O7n13gjTudCQuG4 sUInAU6H6Xzj3+Tgyn3H4CvBqVBi47bsO0JAldVLVZrL2Sjss3mUf2ccTM6L 8tFME3CMwUS5Pz8T/ZlsD+qFfYTLvCyn+hcIGPp1xc19LQ1tGn7M+ZwKAdX9 S1HL3wnQMUrmEl/PBdsbCbPWnyuhtOvpOalQAnZcVLJXMfCBP9fqv5w+WweC W+bF710J+BycnkZjnor/NL1ddkmvBsPF6X8Kggiwq0w//ZMvH0VH6FOC+Uqh ZP0YDWcOAW1qb05I0xZghRItW9fRXOjpjq+NaSLg/YWdjrXheRh1MOklt0oK hGrJFbwbIOAVf835V6k5yMzUJ2TlFQtnlodsWr4SUNwtczqvJQuPJ13MN6yM gFSN8CHPeQK+MoqYiF3NQLrwUnr9zGBgKObuOUK+q2/jYDvn01RcrRkclrzj C8wrV3j1lwkYdjDiFuBIxuMyP1lU493hyu0cttxVAkyda7pUlj/BmT2bm0dT q4Fm0/zGf08IyDzM1biBQSAwW+h+zrwZQjglWhTPEfDrgIzIzrhc9GA7Z8cU XAddnVEJzCYEOBbfuTDv9Am/Ub3ZabO3DKLOC5sURRJw0l9Qq966GOUMHuxT epgDK1Q0TzmqCOBvKzwj9akAm+wHPutJJoFHrfZum14CygqaMpR25iHfyqbq +utoMJNf4o4g9XbZKNRzLC8bBQJHwthUQkFGyddFfo6A0vRrxDWfTHw1k5K8 vToAzjzuCrxJEFC+mfs3VTMN/xtMLQp84gXHf2w1DSwRsGjsWN6Ukoxi2oGe jPMvYaBTrdqA5PBRXNRS7EElSB1Ubgu5lQPVCcYsieT9e2c0eg7GV0NTBp+n g2kt/DwdFrlDkIArny4xJTGGQZjXmMTZ3g7g+jDLxlJMgVfal35LOZbhQnmz 8K+oRijmbG105SYg1z2dUPevwGnPWP1tWaVwyJjOmtOT1Odf3fDeQ2Voudu+ 6ktPFuRZJqjtKCbAktKmP91RhMdWIp32CccDyx7xpTtkXexXy3qxTTUfz2tF hl2m/wCD1HnbXMYI8InuTZz3zEEWafsILplguJNxfp55loA7q6yu9DezcKtS N31qzhuOnqq9FEEhdb529VPUP+m42fBS8w2tG+iuyf++S/IRdt+p4nomBTWH N5+P9tvDlMqfbGaSTxEr+07Z3kS8fci5/FiyFVwblpag+0ly2C/Ub/u8Bqj8 oyxXuZLhmOkdHQ8fAthLNIeoPrRARlDyg66yGojLqvhgn0MBLqYJ9enSMKDv UFuXlvwCHjv5aR6aLEJm4YNenc91GBdYYfzIuxmo2blml0ie3DO3N2y1alDg 1Txf8q5PoDjW3tHxmAAh26QEfp0KDKHW7tp6nAZnfiXTHcsiwDbWa7az9BMu K/5ZSjkeA+VxTDrBrQRILtyuVjEvwBgG9aXCX++AEJTXCSf9xIw7P584m4ue Mbv/cT3uC6ueUW//kn4yZJa8adSahfabfiEsUW5wlbvIbnmRgH9zGe7pNaZj 7vytu4+07SF98br/yg8CpOOTDTE/BYsV11OHlSwh6vCxjNoVAlSPbJ+PP5GE YhOTgRGPjGHrd29c1xoBlTNTsTk25RB7+NPrQpqnoPRulSu/lvQBGyGlBJc6 cFfnjRalvIHKkbbTcc4EbHr2iuvq9IB1VGamRE0BlAjEvhOgo4BEmjCD0edY fM4hYZ34axLkVjqbx9dn4NQtHo3DnB14pj19m9G3BvD7U03DL0GBUddZkzn6 BoyWTzqirZgHnzhfHdymQYAy9ey/h2Yrsdm/ptzwdxw8Zpe3s0ki4M8E1QsG 9VJkG8rYFX03DL6kNKbfaybrd1vrhde3CpGm574M05YvfLaeUaEaJkDERF/p aWsuZswV064PuMJ23tDs/STP0OjBqXqRbBzt+fcVleMzSJfZo3Gf5Kmno3Nk ViUD50rG+YN6TcGGk+NEGMnzVdVYvOfeVHR+cDYlYkkXZsx7BD1InslnTV0u PE3CAeqLL9qszoN2y8GzCSRP/2GzG3NmCTipyrNwgEEYQ089yeBeJ/d3llnT DM2gw9KuO87Bw3CZeavTVX8QeA6nXgpR7kXnVDmTQx9KQJZ27YfM50XgTDku frSsCaemys4ZtyZAx970p8sKBMSlxCjf2laNS15elZLaoeC/uVjG9h8Bzi7x BkdNy3C+rFTk9dprkPf/R5S1kQDOk0oHVH8W4mQlu1ngBSdQ+S3J2j5IQIkp q6XuyTzMm5gWyDpjAU/+k9gy+UZAkALXc1+LbGy2vvks/e5t+FC1qP6T7F8G LT+eSCRmoEPt33q+/aJwn2M3pyrJ5976sU3bG6k4W2jzW05dGX9vXzJS/z+f g8r8kbGk3lRjNxV0tXAifC3bheQzFOsoJvwoAan8G9W7rO6im7TDkaMkH+GU h/IOZd1we7AsfoKrHaXcWUSFRBfBvWh32kPsgpDqeZNQGMfBeNtflmyzsNEz SXz+OoH1k47cG4xDWON+wLctcwrOLfiLrxzvQ137wij6sgBUnKorkOpeBD5X ozjv/5pRhuV0oGmQKWQev6KVI0eAJyubmtHTajS+GZ3ZqG8MFm2nrnyOJuBG /eau6YUytFlIY3pnoQSq6Xdye+rJvum3U3dKsQj/6BxdpN6hjA5vpqU5SJ4M kqk1ZUZ5KNEZtPej3x0sl4xMXJ4ioOC2cqxYYDaG1Q8nhqcb4Z5RoZZkkqd8 /Pc1i54MlJ+tme+oeoBWBgx79pM8rUvkWiesU/His3Gd2XemyO7NekOI5LnQ +etDQnESOkn4DER6muEryb8hhiTPk26ustUxCXh0qmX2Q405zr9lNiBIP1QS 87lsVtsGCVFDPV5vOjD+1/BD2ZJFuKf2sWO9vxIijv25EsA2iuHcPD52H+eB eaGG0ySwG/f2VwoUnRnEGLHz+cOs8/DkjazRBlU3Trr5bq4xlaJbzPbZx+IU 4O056moZ04R8JRrqGrdicUaV5x89JQL2jJ8RbpapxsurTr5zi4HYLmQc1BxD 1q9IksDe1jKcXFfkvyLriRlutQpVJM8PLta39sgVYeSVA458318iT6HA0AiZ Q5KCQhSsDfMwyfSa7amEF3h9YcMeSZ5SSYMuriRPotSi+0KOA34/3ljqTPL8 s8z1QbY3A7/LGr+91Pkc9ZVneX+SOeTDOyv2FZInjtIHK7+0Q1PriBBWkieP SeXVnqIkVFt/yMLi8gztbSxU1UieiozxDZff1gPNA49Hsuc78OOWs1CmHAV2 7hJsuXkzC9TXs2mb477geJDESTNYBDs2BX1x40b8WXrL0CuhFwek3OIfk+t/ ll/aNea1YeAehSPtDdUY628xw/CeAmXcxo5RSg1opmHzuG5fNtZsfvovVYuA qe3TDNdNqtB5oaNvXj4Wu9g0MTKegIETj+JK9pchn31ZBdXNUJQ/aMxX10D6 OfOeN28nCtFH/LtL8lwArikpJfCQOjy0Ejp//UQe3r1eR2FHb6zYkfq2meS2 IS/S0/AkG9uSG97ym3lg9s8Jr+ckt52VPR6VyRlIYbtbL/DWDR121efPk9wU PQ88ziTr2rBgaU3s7UuMnXn9bAfJjUEv4eOx6CS8zs5c43XABdn2pTBeILk5 G14OkFeIBurjR6ze8fRgbzm3VtYJCpy3a1s33F+JXL45rXsXO5HVWngaL1DA eLzfr9+zAe+uDEWkBddiPOOpgvTvFMi9PTd79VYtXpSq7xOyLMB6EVZNIzMC WjR8OgUFKvFXchhlnpKMvT8pXuapBERGOz3S/FaCQnJuzwLmo5HZy4cjj8y3 81dch9XPFOL0gpTe2K0w1PooOjpE8vl5KUpuvTkXlywlowu7gnDDddSGjfS9 WE72bQli2Wjeve/2tU9+mGcteCiE5CPHp6wVdT0DU+q+KO5k98YOzHu0SvJ5 6dv2Y5nsC/SFlFsqrR4oJ5Q5SkvyqRQb0GUSDAb1xmK5a/s6UbvZnio3iwKM u8IMKm8XYfN9Nq9HR9ux2CQ98UgHBcZoZ3ie7KrGroAdhby2tUgv7v04/AQB NEVONPO3q1B9l7bl+3fFyJ+SPTzwksxdEn608vqI4l5envVNmejzmPfpDTLn P6/M/eSh9Qnzy3X4l4zikSXmkq5aCwFbrPYFDloFmBda/3pzRxT+eEx9ZHWI 3P/dsE8EcvHS5/bsD1OhOHrsenswyWHg2Xa7ma4s1PRqcH6lEoxs3Nw7u0gO NaKJI7Xt6fgbbwjVCQag4WL5pb2kX1kwfaHbWUXmtKbcuyI33qDnmyChvSQH mVr1gfFvZfjS8bSYh08N6RM3aSi6BDQXakV9UET88k2ORu1QCRrc1VWFtwRE zGsu9yqWojgP3zr9ejZek/pY7EfmT38XmdrBwCLcUhqopKNNxgb5dDrtdgIe CJ/uuHYxH3PZ0r+DaSzm6Ec7aJI5yqlAw0csIAdLFTk2bJ0+4IvuN3LyZN8X UKG3BL0sXNnxfDFlJQQt38v2CJN935Vng+qLXTHynjloniebi/bnr15kqyDn uD2VtvlZBahpJ9v5qjsVdQXZ/cK7yH7acFG5RCQP7wVatQ1lxaHxTJLr51EC VJ5QBNYNuyH8PJPf7K8aPLtvlllkbBH8z/x8pX5yAOSs3L93H+rBQIuuqn7p eTAI0/ef5u2DtGa1luKDLfhhg54zkLIAm2Z0Rw4Ld8LHIbNpKldE2BEV+sWM Avp+Yvx0G5Vw2nLdupzVDq9L8tLGZJC55exh2pvVXfCxf6Rze00FTv57SMHk OAWcwveypYb1Qq+XaPmN6TrsPtN54bvBIljPW3O2d7UCa8bRzXuDjtiZ3j6c xERA2PZ6px3HB0DlkIQ9r0Q73pVlHaBmWQC1ou5bVxVHYMb7orc8Tz9eUrho 3GY/C2V64YPdt7/C7+3SRnXRDZCr17c/YGYaXlFxPjj8eBwFzMpMeHoSQNzk zsHsljlYXuGLp+Wdw1l3g6E7ka24v+nrxXsNY9Am2HTYN6wT9nyxOLeNqQyv 7jqbLGtCATqld1UJf79gXJVmvq9gN0ju+U5bZDUP1N8+r+ZcHMPenU5cdtgI Kde55DYb50DjwLBoG8c3tOQUFNjhUQW2dEkMjhnf4N95sR+MEl8gnVj1f0H2 q+TSS879CQvQtqf8yfHxGrjqu62dxjQGH+id9LLzJeBh9+TjNxe6QVg1I/9E bQnaBp5vMeCjgIWdWMGD/xB2Ebsl0h65osCPQPFhUidpsSsNbu7dMDonFhBx vxpdJiNcbeYXgeG70t+z9r2QoaElN7dai/ryRbsVny4CtWjn09dPGsEicail P9cHtZitbSpvk3r77MfQ6DoIzImPLmT96cRUMTO1L8rz8E3v7OCd7BGQTHEa 9OPtw3TNmD9X3s1Cq75ViMyDERj3UbkxpG8HYqM+ySf4FyB2xzG64iNdwO7v M73FU4Ii27oHrmtTwIOK51jO0zIw5W20gzkvbLJRENwg+4j0wpVOu7pKGFGI CuVlDMKIxbt8mpkE/DagD2392AN6ViJy0ipVuMFgIXesdhEOjB7kYVzphPy5 hEgxGZLPPq3rE/oU0K6SDaFk9cOjPq4GU/MGFDS4vld5YgGMdPMkCx/XgVFj Pt+z+QhcC4h9Z/aC/N0EaTo5tVb4/nQ1ragwHh0PX7lpzkyA95Rg+Z+oYVgz /ofp5tlOvN32O3V9cA4iz9LpPPf4Al2+bMH18k34UHJq4Gs4qU9Mpjfi64OK GEYpZ/k8dM6eN/IpXoT8GbZLz05/g5cRBavdffWYbZLKSXXmGyRtN1FYc7sn 93Pr/x8CLpWeqH6eeVdOav9/DBZasRj09r2i4ZsKsNA5x/47n4DplksX5Vg8 cLdSuqBiTBW0c6TLK5PzSIjURc2cp+lo95D6sJRhMWinFhltkHl7b5FsZrNO Bv4ozlkWPBMFcZvv/WpJnxF532Go5p6GLeKjO0y+h4CWdUWiNOmfY0eHrBXM UvG3d8Qp1qYg+FHqpjVIzr8XrRep6zk84eqx5wXVbtUgWSm0Lz+KXMd5w2q5 HEgL8D3OdL4KhjwH+XhDCbCj9Wu3xRQcfKLmw3YjADi9l/Rql8l5f+Xcszq5 ZIx9mKz2otgDhm4Q3zzJObrW8e9uK7UyUIlvF0udKwLemZTWX7Gkf5o/f+i+ koipbzi4lU0dwTROra2b7O8nDMf7l7bKITH+rePhW3kwRZ8SEJtMQIoNozhZ 1sC5VyHvaVwabCk+cBTIJeCJ2Pks8dBEFNrw7KdWeAa5BadmBMlcCk0esweP J6JjXtmnVYcncLrJgdefXP/nHnPePjcEuedXwydPvYe28pbahnLyvWGMLEzJ CUjtmrrWa6cL5knBA6vk/gm7JZxT7QD9GpsVmgtVCGmX+SKfUeB+nb7YSmQr tN8Gj4nkemTds5YR7UIBv5Jzn8fYE3Fjcjz8xIwtSl0+8uE1eY7jS62g230N 4H6d4sCa1oKeLYsqCeT+OBeGFLPBRDTA/NEpY2f83XbPbIjkIBKpqReaWg1X ojDvR0w76u7umM57SQGakz9fX31TDj0MHYI24R3476DTmrInBerF1mh+uSeh V0rca5EsV1zuPBIjT57zl93dtpAlGV9Yf7Oe+f4K7/CdSEDyf+HxvlrO8DwX 2VmTUp12teBAIk8Y0x4C7Pfa8t48XYS/g6Q1mjQb8S/thvQ1adJ/due9c9dJ x/sKIox5OkFIpX1SUIrU1aLn5lysUwbWW9Zs17V/izsYfNo7CAKKKijrVpUl SBWQNNwmWoNLzs0xHx+Q63HqfhojJej+ODvf4mUJFqh/tnpP6u3GWOW+me05 2J2wYT15Pwo3menLOsh+OnyG+sUviSzkI17QWjGHYdDXh3RqpM4Vjl6emO/4 gFTcrFrZ2pVwPt6J4MwmQPDHzpyI4SS07BaW1tEvg8n12vNCpH+25sjFlVdk YNRp2pRvFYVw3TF1s4XMLYXJlK9+3uk4XE55rXfjPSjeUVIyJ+/vX80+uLzw H0RqhK6HBVSDxnXKC5twAtqd+DI/qhgA/4YJYSlTDaJhqv1M5FxsoZOu40b3 Ce5+eXvH43g5yG8dLZH9QADtZvH+kBoEsSpfUVmdLMhT1P/aQfreeWF2m4/7 ykGgiUq1f38hKE89eB1K5vBcWSz3/orgMyv9bGQsDpbj8IcamU82xrLlYvoS MEDmpeAX1vsQEHVRoZ3UlVGI62VhVYSu4xxb0e/fAUtV7K4M8r2p3cXbhXg7 YINWYV00owrrGScndJ5TwIDjnfnrtQTc5fwUr3DaoDGm9cWT53ylSuG0MPoM YWgmTX2xCavMOMy/k/r02lgf+mWViDU0IzyepxzwgdAyiwy5X+PnnX+X+5Lw WGb/u1SGV1hWks2/SuqqMt3o1Cu2JDwpMawdX+SCh7h+qieTOtQQYLLUrU1G L2t6c8UsT1zKjFJiJfdzKS4qv61Px8FF7+EjwsF4wrzAJpvMvRuc/C3lJ9NQ oNvnAMvVAHyU4DLuQfpV1e5571TNUlzJuruVrFCBHO2RUoPe5DnK3N4BDjnY wPfs88nCaPz9Z/dZOTJnrvWLmy9vz8bWpwe/sl9+j6yhZ/pX58jzHz+OksjL xKnhdDalTyGYG5+9IU8hIGA1Fw3MO8CQ4Pp2+Ecl/qs7xnHKlqzTUa30dqlk 9L/WdIHO2QMOyWv7B5L3v9m0fbSO3RUsInT4Ts12oKVYwoh6EQWWmYs8q4XH 8GhHAfPKj6/oNGLIlL05DvvaWfUZq7rAZf1svI75BBZemhJqk54By/HcxZPX +oDjUkD/FuM4frUrO8dsOQONElJj92oGIfuwvgjz5SH8cy281vvILOyOvBQ7 fHMEivyqLvwW7cf1qMW+W9azcNiXWz9BbgQEJFg2GE36MXPJYWbo8Sz0HIre inGfxW5ZmQsLVf24l4lwGo8cBk7l01a/bOfwfVm5m9TJQZCcbjzM4dcHNZvK Ffp2c5jlYWTZV9GOX4NzVs06RyHV+sDAI79RSNn70ebQrh7s+tK/o66OPP+1 WuLfvEm4rLg0Atu+oeeadMVgVD8E8x/1c3OYRW3bVyWUU2NQq5ERsXGsB/4H lD+d9g== "]], GraphicsComplex3DBox[CompressedData[" 1:eJxlmHk4VVsfx41RlKHQ4Oxz65UblW4UIda6KVzdbmlQQsgYobpkqqjU7VbG JpQhDaY7RGiglg5uGeOQhBIJGTM7xve8b2fvfZ+9/jrP83n2s/Zen/096/f7 7aUHvXY6iQgJCckKCwmJ8n9h3uHkorVJYDBi21Tk3T4U5bl5UdhcNjwnM3f5 uVlvwdL32x7OzPQhZwXvN1IqbPghsr5q7rvP1PU7D3rdQRvY0GK8W/lN1Cfk 7P0gJsejC6UdKjbWf0fAKI3jnMdeXIoLrfrxTkwXAcn7kjxdauuho6JsmGRj vkp9spbiBzp5YHoJfV+Sv++qOrFdiw2P6/1jLLr4K8U3OeQt55qy4eTKhLtB JsMUPz3HtzTQmg032K0wc1AZQutrtpz2sGpDSY7qzzeUENDhfXxdeU8PSpOa H+zR0IbyZQ7s8sojqH2RXFPPN/FrAb0vko9ujEota6D3RfKyantDxzGC2hfJ 5R1HRg0X0Psi+cEy09qi1fS+SG5TMW77cjO9L5JrK0xNB1iy4RmWn8ik9zi9 TsbdytWH2VBSxtzOL2kGkPvd1BioK3yS9tCb5OOs8lML+txZIjqVQ3sg+Y2j x/SzE2gPJM/SlP14NJ32QHLRU52OeqW0B5L/qvQ6O7SH9kBy+UVtf/CkaQ8k fxluFZ27gvZAcrMA4cY1P9IeSK7jHib+wYL2QPLCs9Z7oRvtgeQ2r1bffBrI hs/NhVOazHnI6f85aUDXi2X/tK8iKD8kX6Fwxr89nvZD8qLwtOiOANoPyY3z ll8wDKf9kNxDbqLT7Snth+Tp8olo/yfaD8m1kuV/8ppF+yH5Bv/GOAsV2g/J qxPy7JYZ0n5I/n2qlerD3bQfkieZSVzLcKX9kFxU44XWzQA2NBFSsB13EYEk dxsSPl1xkfb2zScXeW3zu2f8imDkiosejPWJhZ5j5oqLxqx0axJNmLnioonI xewbXsxc8dex7j7mkMbMFRf1FcvIWtYzc8VFnAyX9HYhZq64SFEixeHZd8xc cZGprdlglj4zV1ykuxIgiV3MXPGvX8eTvejCzBUXhQsVlFb6095I7qetyDXh e9un9qlkQnlasC8O8jDU2uzfRzB8cpDc5MH9AQVMnxwU795n2XyE6ZOD5rac L5wzyGL45F/fZv/MfTvTJweZvHjhlnuL6ZODyuTcotSrmT45qNVHpTJtkmD4 5CCL2en98wmmTw4q0CVcJ3SZPjkoa4tMRLs50ycHnVNKXlnlzPTJQQ/+M7nR DvPJQRkGJn5SfJ+K3eeOXCgXo/iHNw2X5kSzKT+IpZ+rvaU5V7NvT/3wZtoP yfdU66f1adN+SJ6krXrJ8grth+Q7eOYFhypoPyQv9f81YJRH+yG5VIK3jZ8y 7YfkhaVjXeJ8PxMCPyQP1oqVtub7OS3wQ/KsksF/LvP9SAj8kHzB5Qjbbf/y Q/Ivj61klfl+pP2Fwx5Pk340QWKd1PndMcz/Lwc4Lg42WZXHYuYNRM9zO/ZI j8XMGwBPrj/2d8DyBootWpXy12B5AwGuZ6/khmN5AwWLUk3OlWF5A3fuK5zh jWF5AxIfrl+aWYLlDRQV+OQ2bcDyBrzKzhe743kDt8NSp/LxvAGd5COfYvG8 gShXY89APG8gPiXEND4aOw9B8lWzl65tTJ9cMHWTvXPgOtMnF4gt9603ecz0 yQVnha3YenrYeQjOGt132xiFnYcga7+o/J1y7DwEmg9Uijg8pk8u+Fp4uD1T GTsPQYXpEhCG/X+54LNhmuLindh5CFzOWPd74echCHFOXm8WgJ2H4Jdh8TD1 S1j9BSoGmTuXyGH1FzSdEnfKbWIx6y8I8+Gu5oyxmPUXSK1nVyhsx+ovkN/K tZwVi9VfcNPs0cXYKqz+AiFfi2U//evcI/kG6cLocAKrv4BduDFTVh+rvyBj c1G18y6s/oKBlpyHMXj9BdnH0361CsTqL2iT1Lisdhnr38D4H4Geoouw/g18 uFNYG7US69+A7L03q3tcsP4NDMWkRafcw/o38FJRfLFEHda/gXfqKt2HsDrb AkLWJFn+thTr38ABTUc7OwOsfwOtW74P+WUP1r+BCAWlbRvx/g00eod6lJ/A +nnw21Dyx0ObsH4emOa+/mKzB+vnwbKC10O2p7F+HrjaNEdlPcT6eSASUX7Y +SPWzwOH5jdr+sWxfh4c3NifcGY51s8DglXuchRi/TzQr/C7VbIX6+dBntbs pl14Pw/qHG71up3C5i9QpKVbPh6DzV9Ai+cWN6cAm7+A3HR3pVYnwZy/QI3m Ks0kaWz+AisiT593UMfmLzBZOO+d1mZs/gJnndSmq/azIWPeBMZX53ctHaLv K5g3wTrf25//PR+R12/Zrth5Yw3fT0lPbVzHhCC3mcAypriM95kFJ+oW+C/N HaH4R8U5rup2LMb5nAkmLm/2q0hhwcuzxKP9nKYpbpGmHpO0kGCuj9zHQh9n vCdg6yzH3kmtKQFPAgt1LtryJljwuzBfZBg3TvGGbjC04QX2PKi1v67xl0QC WitcigieNUZdrxEpl6gXyIKxt+LtOV7DFPeJNHu3S4UFfdr1l9wL7afW0U+2 35cyl4CNXUUB5vkd1PN73XeKEvrArC+ZQDHvlcERHRZsOLmt9IbvNLW+c8kn 8QgFbB0Uflju/u0ZFsW/9RVVuaKq9dE1HSyY6JiZKrO3i1rH9bN4XEIi7bmu ZfeYDi8I2PQtUHaMYcGcW0+9H8bw0KHcMCfH7CA06fDO6PRLAv6Q3qyoc3iI 4k8j+kRXHifg50VGl+2PT6OtB88/Mc8MQtPKxUWmgwRkDVX/vEtjEhnaD/zI KzoFuPveB/o0s2BbooR9R9IEWiLg+79b9K6shgULZpk2SM2h72utsGid8gsC xopM9NYKjaJqu2/X75BOsH9mzoIH/tYQPewzgtiCdaLmrQkMNmRBAwWvk+GN g9Q6cqt9FNVcCbjb7cTvGgHT6NOfv8f4PwsG4cO2GWfl+T6de0O4J6dR3UiN SO3KEHSySicxcJDOlcAPuhHxVMLvA8ZBemftKv0GFpQ/xdp7j++hdVHPkMGV ICAcZ+y3hr++dWA769oNHuIKnj+2cY5L/b/8R+yp2NucEYTCxNc93l9IUDkk 7/tYfHP72G2Mg9CfC2dbm7LgshVLNNWleWhCsH73lw6JpEi6nyHX5wTFhTvy 5zUyn+T6m4zdrCWlCZjpZW8y6NGPUs/u49xfyM29ondnJGAWfQ4PNLWKRrV2 o6nueSbaTQR8/Vdkzpe3X6jvRX69rxPlaulzbPayhzORd3tR5/b7vaIjBHX+ kHxxfOOCrq30+UOu/0eWvm2oDb9enD/aP9ttjPoudJ4bL2/lQs8LV++2aDRo d6LxH7LnI34fVSm/ap9b/CD1ncddrDx8sISgzmfy+jqbhJ5aDzZMfLHbM0h5 hvoOs2Nu5Zej/Do+sH16T970KPWd5HrTRNx6/pxlFzQ/x/W5MCS5sOT2yUu/ 0X3Rui5o3HD8IxJRTQo059df6RTP8fiZcep7wkan7MKt/PyQfQJ5/eikGzDj 91ee6Vsl6w1Fqfnde9TVPzqcDUOyrK5LTkxS8/XpuyIZ79sJmLZ2U23YRjFq bm2bcJ9qvIrNraBP/tKpFmWCuQ4YeXvhTcAybB3Qef3ly+FrbObzg4DSbXG9 qgTzOcFUi9XshZGYBwDj/jxlokYwfYLKGUJGci3mAYyfk7wwwO+XGJ6B9v6h het+x947OKvpO+3iheUQOI9Kv2o/h7138PcDB5E1nliuQNnRVzaDzmxmzoFu 2D+p7rexPIPBQeNbayqwPAPrkkE1UxMsz0DhYKrboBUbsjRhqF3ZZ9S+Ze0v Koe6kaSxXaxLIwHnlLkvTLd6j24f11RtqO1BARYeHpwuAtbYtupc3VWKpq85 15sO9CLPhQcCTvH7W/kpzVVKDgOg3X7G02OiB8k3yfCG+f2qTLPCsr9W9KOw TZ6BHqUdKPfKcKNLKQHLC2YN9Vt2o6P+xcc9cjsRR+yEUzi/f77G7Q1StxhB 3HeV9iq6rSiim8Oy+99816Nud89zHDkqZYpEOb5HYpKfnhg08N/j5uzs/t/G EC85zKjhejM67L52jy//f6H85JRBo/Qkckz2D/JY8ha1XLhgotBCwGdKW29q 1ItCxxj5PtOdtUgtRiStKYoNbxnpWn/cNoVSFiRn5ayuRGFLNE+EfiFg/oLm rOfzptG5peqGDbUFYCxfpMGSTUAd3g9Pxp3EoOB6wHpf9teL62yYEuzxnak2 /77f1gftKT8vfrSCgKMPq1P9ivj3/fY8QPv5er+cK2zYzOt1EhUVgYLnB6pF r/Zn8+dE3Qo1fZsRESjYL3gwwhN6wP/fZeVLlbI7haDADyhMXy9xOYQNc2RX yc5L5wGBT2Ckpuq4150Nm8INNxTcnwQC/0Dyq/ehGW82FNNV2yd5tQEJ3hc4 8PqQRtETAt7wMdOTqeoBgvcLBuuTYxN+ZMOa20aNMzUDQJAHEFC7Om+KPxd/ fPnKeovjCBDkB2iUBO9/YcuGeg3xBRbfTyPl6uQJU/kXoDE7sHIH///ee6/1 pwTdGXDQyLuYzWlDr+bmmNXzzzdiNFfrYu4gEnCw54BI1iNjAkbnbPpg+bAP 7a07xgnZ8Rx8Luu4ves/LOjxs9jC3KeDyFQotXamOp/iZH1ZcMSgK1Y1j+LO GtcK1g4MUf0MyctW2SpB92FkJBpvcGx2EsWvhJxVV3AcRmU66RylXprbPCmM SE7uxdaZ6Mh6tNekF30UXpR3suBXis/TfhvurtqLOIpJ/6w9nUHxra2fntwu G0aTgvpI8q/H3uzS9epHumsDlhqJ7KO4YvPbh4HBvSh/9Jr58N86FP8ve7fM Eg== "], { {RGBColor[1, 0.3, 0], Opacity[0.66], EdgeForm[None], Specularity[ RGBColor[1, 1, 0], 20], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxNlnmU11MYxt9fUdrGZELNTFrUTGVKmxZRo00aKpXS1GhRSmkGFW1MYkyi IiRTMrRohixlRkih7P6wO3bHvh6O/XDC+5z7uec7fzzn/d573/u+z/cuz3vb zSgZW1zPzKanzOq7bejwT1NfK0czR5rjKPrq0z7CcaTjaGwDRzpWMZpjNe8Y bCNHriPTkeXIoK+xoxN92Y6WjqbkzoFHJmPpxG6NVewTsBn4pcErC6s5JzqO cxzvaINvC0cH+pSzI1b5hjh6O05xdCa3cp7qyHN0dXR3tCf2yY52tLvgK14n YZWzB77K2Yt8OeTJYW2GkrOPoye+8jvd0Y08ecRri18nOA5kXLz6wUP5+2Pz iJ3LnHw4Kc9gOInLIGJorC+xFesMfOU3jNwaX+yY65jnGE6f8p+JVf4RWK3f TriOdIxhrfXf52IV+xz4KecDcCpwjIar5pxNv/xG4auxscQQl8n4Kd54OInL edizHNsclY4tjiJiKc84YmhOIfkVq5lfkGq3TdxOIbbmVOEzyXEBMfR/U7H6 v2lYcZzlmOCY6JhOn3LOwIrvhVjxvQjf81lv/Zvyz6ZPeedgxfdi7GT2Zgr/ dwlWHOdjxbEEfuJyKVZcLnfMhG8xvvJbQJ94LYKH8l+BVf4rseK7EN/ZdfY7 7v8Y1msJXMWxrYV7pnNbZuGcaXw5PMT3Kqz4Xu24DL6lWHFcgVX+a7DiuxIr vtdixXe943pHueM6+pT7FnjEsaWOZY5VWPFaDY9S/JbgdxM8lH8NVvnXYpV/ HVY5b8Yq343E0/xbya2cUWelbxuJpRi3M0c5N2CV8w6s/O7EV3nuYkwxKujT v24ilmJsxsrvNv5TOVLwkO6rNkjPpfWqD9JhaXisE2mW1Am16+Fbt040J0YG bdWGFrSbWNBq6bjqQ0vaytGKdtT9TNZd52g+fdK8XEvqR7Yl9aM1OdrQVs62 tJVPut2efB1ox5rRgfw5tJVDOtsbHrmMRa3vRT5pamdL6kQX8uXRzmZcvFVb pO3d4NGdtnj0oC0ePWl3JE9P5vexpJb1pS0tlv6NIJY0OdYZ2dPg1I85sZb0 I98g5iiHtDefnINpp/MPWXDKZ04eufuzHkOYI35DaSuftHeYJbVkuCW1RG3V hZFwUGzpcKwJsgX85zDiitMo/JRvNG3dXZ0RaUoae9aKedJk6ZRqwx7HPgta KG2R1kj/FtCeSgzFks4tZCxqYtTIRYxFfdSYdEJ6ofs+zYKmKZZ0czF+UbOi hsmusESvS/CTbkhHdPaXWqKpS4gV9W6lJfpYyvqO458fdey3UBt1r1+ycC+/ c7xo4U6/7fjVgkb/6/jSgjbc6zjgeNjxvQWN0L0/7Pjcgr7+7fjEgn5Xkush x8+ONyyc912OB9njar6riPskeX50vGpBD36yoBG6rwMcux1POH5wvGxBS6Rp X1nQNe3TMtYo1pLlrFEZ6xhr8Az8ytmnWKe19rGua/9Vz3UmZrKO0xlTfdbe 61w8ZeEsbbVwVnWOB7IOOxx3469/nWRJjSmnT+tSwLxdrM8u2gWsUzX9xfyT Ykwk/yxL3gripPugt0F8K8kWEqMKLhrXGdJ5jO8Gna9Ya1Xz4ttiniXvjzlw KiTnaOYXkWcufvGdpLEGqcC1YSrczyLyx3dbfMeNZx8qWbMJrKPel9IvHbyv LdS6bx3PW6hLGn/OcQi/vY6DxKh1PMP4TtbwBeZrrvZe51f1MT0Vxpumwnn7 zYJmag91lp8l1n3E3ks+xd0P72341TJvH31biFVj4S5th+Mj4Gn6aomtuarH Ote6g+85frdwDnX2X7Fw/uM7IL4LNjBHb4KNjL1m4S7pHq1j/TR2rON1C3Xx HccvFmqF3gsV+L1p4Q7r/n7g+NOCTt5v4bzfQw69OTazZ+Kv/X7LgqZ0teTN sYm1qMT3P+ZuZI13MFbDem0nx9Y6ayid0P7US4Ux9cc3lv5PuvUZ66b31WH2 uIx9ll98q61hD7cT+xD7qj1NefxvWAvtufb+MfZT+ypNfddCzVX9+4I5Fexn DXGlbbvhfZA+5Xzf8ZcFrY/vyPiulNX+7+H/9P//8D+riDeAmI1TgV8jt4/j q/05wLj+K75H1zIuP+nWDY6PLdx36eIfFnTwI/Zbe10KF70Ry+GwnjmrifEp /MTtQwv1QPor7ZKWSXf+B+hHnRA= "]], Polygon3DBox[CompressedData[" 1:eJwt0skuw1EUx/H7b0pV0S4MW5VY8gDSJ7C0qK4ba8Mea+wICRa6lHgBT1A0 VXNMMRPElJhJmvI9ub/FJ+eX29vbc+5tMjvQ0x9yzrUjjLrAuW7qEurJReoG GlGLdxygCx04RIh9C9Q0fnGBMQzjCpeYwLRymP3jWvvCMQaRxbnOsO+O4Ayn GMIodvCKNiSxjhfr1XpHDM/KJazgAVWabw2PqNZaAU+aLYofnOi3radY4O8i Y/vJ39Qj9Kmna5QxiSnlG8xrbRt7uqtWvGFXvXdqli00ayabZVW92kwf2Nfe lM6wt9hEEz71Bmn1dA9Hn3PqoYacoy7ajORo4PMyGsgturOS7sxmtFl77Y7I t9SK3m4GkcB/ltPZceSd/88kyHfUP8w638M/LTVMfw== "]], Polygon3DBox[{{206, 259, 21, 207, 20}}]}]}, {}, {}, {}, {}}, VertexNormals->CompressedData[" 1:eJwVl3c41u0bxkNJyCjRopdEVpH0ErmiJKWUVEgpI5UVIjMiI9nKqqzX3ntk XPbee6+S/XwzU5Lf9/f88xzHfdzH/dz35zmv8zovbh1TVX3qbdu2sVBt20ZD fjsPOac88MzA5buRVuxLWSDn2E6v3UeAih7Nwo6oDDwtPCJ2WyQF8gQ+UMtP ELCreJ+N364MfFr7XXGBKhZKjffc3JomILU7/WHkvhg0vD99SFK6HLQLolRZ 0wk4z8olpbkzE2n69qxTf/4CB9Ptqh6UE7DIv+gR/SsLd9vc4As7mw1x+eP6 8h0EOBym8459l4Urj+0DrwYmQ5Gly7L3CAEV5q+v01zJRGGvTe7jO2Pg69wJ fpopAo4yGCj15aajL5PVwQchn+EKH8uZvnkChn5ddXFdS0HLusVZrzNBcH3/ UsTyDwI09RK5xNazwepW3IxFUzkUd744LxFMwI5LirbKOl7w50Zt/9lzNSC4 ZVL40ZmApsDUFBqTZPyn4f2yU2ol6C5M/ZMXQIB1eerZn/y5eGKEPimQvxiK 1o/ScGYR0Kry7qQkbR6WKdKydXJnQ3dXbHVUAwEfL+60rw7NwYiDCa95lJMg WF0278MAAW+OV114k5yFzEy9QuYe0SCzPGTZ/I2Awi6psznNGXgs4VKubnkY JKuFDrnPEfCNUcRA9Foa0oUW02unBwJDIU/3EfJdvRsH2zhfJONq1eDw6fve wLxylU97mYBhOz0eAY5EPCb1k+V6rCtcvZfFlr1KgKFjVafy8heQ2bO5yZ1c CTSbJrf+e05A+mGu+g0MAIGZfNfzJo0QxCnerHCegF8HpER2xmSjG9t5a6bA GujsiIhjNiDAvvD+xTmHL/id6t1Oy70lEHFB2KAgnIBTvoLqtRaFKKvzZJ/i 0yxYoaJ5wVFBwPHWfBmJL3nYYDvQ9OB0ArhVa+y27CGgJK8hTXFnDvKvbF5f fxsJxnJLPGGk3q7oBbuP5WSigP9ICJtyMEgpejvJzRJQnHqDuOGVjm+mkxK3 V/qBjFGn/22CgNLN7L/Jd1Pwv8HkAv/nHnBscathYImABX370oakRBTV8Hdn nHsNAx0qlTokh89iJ8xEn5SDxEGl1qA7WVAZp88ST96/Z1qt+2BsJTSk8bvb GVbDz7Mh4TsECbj65TJTAmMIhHiMiZ/raQeuTzNsLIUUeKNx+beEfQnOlzYK /4qoh0LOlnpnHgKyXVMJVd8ynHKP1t6WUQyH9OksON1Jff7VCu05VIJmu20r +rszIMcsTmVHIQFmlFbtqfYCPLoS7rBPOBZY9ogt3SfrYr9Kxqtt13Pxgnp4 yBX6TzBInbPNaYwAr8ie+Dn3LGSRtA3jkgqE+2kX5phnCLi/yupMfzsDt8q1 UidnPYH7TPXlMAqp87VrXyL+ScXNutd339G6gNaa3O+HJB9h153KzjJJeHd4 02a0zxYmlf9kMpN8CljZd0r3xOO9Q46lRxPN4cawpDjdT5LDfqE+K5sqoPKN MFvlSoSjhvc13bwIYC+6O0T1qRnSAhKfdJZUQUxG2SfbLApwMU2oThWHAH27 yrrk6X5w23mc5qnBAqTnP+nRbKrBGP8y/WeejUDNzjWzRPLkmb63YaVehQJv 5vgTd30BhbG29nYjAoSsEuKOa5ZhELVG55ZRCsj8SqQ7mkGAVbTHTEfxF1xW +LOUdCwKSmOYNANbCDg9f69S2SQPoxhUl/J/fQBCUE4zlPQTY57cXOJcNrpH 7f7H+Zg3rLpHvP9L+smQceKmXksG2m76BLFEuMA1ngLr5QUC/s1mePSgPhWz 5+48fKZhC6kLN31XFgmQjE3UxdwkLFRYTx5WNIOIw0fTqlcIuH5k+1zsyQQU nfjqH/ZMH7Z+98R0rhFQPj0ZnWVZCtGHv7zNp3kBih9WuXKrSR+wFFKMc6oB V1W+yBOUd1A+0no2xpGATfceMS3NbrCISE8Xr8qDIoHoDwJ0FBBPEWbQa4pG Gw5xi/hfX0F2paNxfH0aztzhVTvM2Y4ybanb9L7Xgc+fSprj4hQYdZ4xmKWv w0i5hCMaCjnwhfPNwW1qBChRz/x7aKYcG32rSnV/x4ARu5y1ZQIBfyaoXjGo FiPbUNquyIch0J9Un/qokazfbS0X397JR5rux1JMW97QZDGtTDVMgIiBtuKL lmxMmy2kXR9whu18wZn7SZ7BkYOTtSKZONr97xsq+5eQKrVH7THJ84Gm5pEZ 5TScLRo/HtBjCJacHCdDSJ5vKsZi3fcmo+OTc0lhS1owbdIt6EbyTDxn6HTx RQIOUF961Wp+ATSaD56LI3n6DhvfmjWOw6/XeecPMAhj8JnnaTzr5P6OEgua oWm0W9p13zFwGK4wb3U4aw8C7+Hky0FKPeiYLGtw6FMRSNOuLUo1LQBn0jEx 7pIGnJwsOa/fEgfte1NfLMsTEJMUpXRnWyUueXiUn9YIBt/NhRK2/whwdIrV 4TYswbmSYpG3a29BzvefE6z1BHCeUjxw/Wc+fi1nN/a/6ADKv0+ztg0SUGTI aqZ1KgdzJqYEMmRM4fl/4lsG3wkIkOey8TbNxEaL2y9TH96DTxULqj/J/qXT vPhcPD4N7ar/1vLvPwGPOXZzXif5PFo/uml1Kxln8i1/y6oq4e/tS3qq/+dz UOl4eDSpt+vRm/Ja6jgRupbpRPIZirYXFX4Wh1S+9aqd5g/RRdLuCDfJRzjp qZxdSRfcGyyJneBqQwlXlhNCJxbAtWB3ylPshKDKOYNgGMfBWKtfZmwzsNH9 lWj6NoG1X+15NhiHsMr1gHdr+iScn/cVWznWi1q2+RH0JX6oMFmTJ9G1APzO ejGe/zWiFMtZf8MAQ0g/dlU9S5YAd1Y2Fb0Xlah/OzK9XlsfTFvPXG2KJOBW 7eauqfkStJxPYfpgqgjXU+9nd9eSfdNnp9akQgH+0eReoN6hhHbvpiQ5SJ4M p5OrSvRyULwjYO9nn/tYejo8fnmSgLx7StGi/pkYUjscH5qqh3tGhZoTSZ5y sT/WTLvTUG6maq694gma6zDs2U/ytCiSbZmwSMZLL8c1Zz4YIrsn6y0hkud8 x69PcYUJ6CDuNRDuboxvTv8N0iV5nnJxlq6MikPuyeaZT1UmOPeeWYcg/VBR 1OuKcXUrxEUMdXu8a8fYX8NPpYsW4JHK5/b1vnIIO/rnqh/bKIby8HpZf54D 5vkqTgP/LtzbVy5QIDOIUaIXcodZ5+D5O2m9Daou/OrivbnGVIwuUdtnjMQo wNfN7WwW1YD8RWqqaneicfo67z8PFAnYMy4j3ChViVdWHbxnF/yxTUg/oDGK rF+RBIG9LSX4dV3h+FVpd0xzqZavIHl+crK4s0e2AMOvHrDn//EaefMFhkbI HJIQECRvoZuDCYY3rM7EvcKb8xu2SPKUSBh0ciZ5EsWmXRez7PDHsfpiR5Ln n2WuT9I9afhDWv/95Q4b1Faa4ftJ5pBPH8zZV0ieOEofqPTaGg0twoJYSZ68 BuXXugsSUGX9KQuL00u0tTS9rkLyVGCMrbvyvhZonrg9k77Qjp+3HIXSZSmw c5dg8+3bGaC6nknbGNOP4wHip4xhAazZ5LXF9OvxZ/EdXY+4HhyQcIk1Itf/ LL+2rs9pRf898kfa6iox2td0muEjBUp49O0jFOvQWM3SqGZfJlZtfvkvWZ2A ye1TDDcNKtBxvr13Ti4aO9nuYngsAQMnn8UU7S9BftuSMqrbwSh3UJ+/po70 c+Y9795P5KOX2A+nxFk/XFNUjOMldXhoJXju5skcfHizhsKOnli2I/l9I8lt Q06ku+55JrYm1r0/buyGmT8nPGxIbjvLu93KE9OQwvawVuC9C9rtqs2dI7kp uB8wSifrWjdvaU30/WuMnn77cgfJjeFB3OejkQl4k525yuOAE7LtS2K8SHJz 1L3iJycfCdTHjph/4O3GnlIe9YyTFLhg3bquu78cubyzWvYudCCrhfAUXqSA /nifT597HT5cGQpLCazGWMYzeak/KJB9b3bm2p1qvCRR2ytkloe1Iqx39YwJ aFbz6hAUKMdfiSGUOUoi9vykeJgkExAe6fDs7vciFJJ1eek3F4nMHl4cOWS+ nbvqPKwqk49T8xIPxu6EoPrnE6NDJJ+flyNk1xuzccnsdGR+ZwBuOI9aspG+ F83Jvi1ONBNNuvbdu/HFB3MsBA8FkXxk+ZXUI26mYVJNv8JOdk9sx5xnqySf 196ti8tkX6DPp9xRbnFDWaH0UVqST7nogBaTYCCo1hfK3tjXgRqNtlTZGRRg 3BWiU36vABsfs3k8427DQoPU+CPtFBijneZ9vqsSO/125PNZVSO9mKdR6EkC aAocaObuVaDqLg2zjx8K8XhS5vDAazJ3ifvQymkjinl4uNc2pKOXEd+LW2TO tynP/uKm/gVzSzWPL+nFIkvUZS2VZgK2WG3z7NTzMCe49u3mjghcNKI+sjpE 7v+h2ysC2Xi5qS3z02Qwjh692RZIchh4ud16ujMD73rUOb5RDkQ2Hp6dnSSH qhPxI9VtqfgbbwnVCPqh7kLp5b2kX5ky9dPtrCBzWkP2Q5Fb79D9XYDQXpKD VLXqwPj3Enxtf1bUzauK9InbNBQtAhrz1SM+KSD2f5elUTlUhDoPta7DewLC 5u4u9ygUoxgv/zr9eibekPhc6EPmT18nqepB/wLcUhwop6NNxDq5VDqNNgKe CJ9tv3EpF7PZUn+AYTRmaUfa3SVzlEOempeoXxYWK3BsWDl8wldd72TlyL4v oExvBg8ycGWHzULSShCafZTuFib7vjPvBlW/dSHyyRw0yZHORtsL1y6xlZFz 3J5yq9yMPLxrLd3xpisZtQTZfUI7yX5ad0mpSCQHH/mbtw5lxKD+dIJz0ygB ys8pAuu6XRB6gcln5lcVnts3wywytgC+Mj/fqJ4aAFlz1x9dh7rR37Szok9y DnRCtH2n+HohpVGlufBgM37aoOf0p8zDpjHdkcPCHfB5yHiKyhkRdkQE9xtT QNtH9DjdRjmcNVu3KGW1xpun+Wij0sjccu4w7e3KTvjcN9KxvaoMv/57SN7g GAUcQveyJYf0QI/HidJbUzXYJdNx8YfOAljMWXC2dbYAaxr35qNBe+xIbRtO YCIgZHutw45jA6B8SNyWT7wNH0qzDlCzzINKQdedawojMO15yVOOtw8vy1/S b7WdgZIHoYNd977B7+2SejWRdZD9oHe/3/QUvKHifHLYaBwFjEsMeLvjQMzg /sHM5llYXuGPpeWbxRlXnaH74S24v+HbpUd1Y9Aq2HDYO6QD9vSbnt/GVILX dp1LlDagAJ3ih4q4v/0YU3E311uwC07v+UFbYD4H1N+bVrMujWHPTgcua6yH pJtcspv1s6B2YPhEK8d3NOMUFNjhVgFWdAkM9mnfYXZRdJFRvB8eUFZ9X5H9 6kLRZce+uHkw2VH6/Nh4FXR4b2ujMYzCtQenPKy9ydzY9NXo3cUu+HgjLfdk dRG2BVxo1uEn87/uybwn/yGYLu4WT3nmjDar/mLDpE4s4lbqXFy7wHxW1C/s cSWOTIQ5W84twGdC8e852x4oV1OXnV2tRgu5gt0KLxbA7kTHi7fP6+FZ/FBz X7YXqjJbWJbfI+Bhmw9DvfMgaMQ9u5jxpwMLTxqr9CvNwUOdc4P3M0fANtFh 0IevF5vuRP25+mEGch+ZB0k9GQFLL+VbQ9rWkDrilXjy+DwMz/DQFR7phO4A r6kt3iJ8tb1r4KYGBdyoeI9mvSgBQ756a5j1wAZLecENso9Izl/tsK4phxH5 iGA+xgAMW3jIfzedgN869MEtn7vhgbmIrKRyBW4wmMoerV6AA6MHeRlXOiB3 Ni5cVKoIrfap35zQpoBGhXQQJaMPnvVy1Rma1KGgzs29ShPzoKeVczrfqAb0 6nP5X86F4Zpf9AfjV+TvxknSyaq0wI8XqykF+bFof/jqbRNmAjwnBUv/RAzD mv4/TLfPdeC91t/J64OzEH6OTtPGrR86vdkCa+Ua8OnpyYFvoaQ+MZFej78X yqIYJRzlctAxc07Pq3ABcqfZLr88+x1eh+WtdvXWYqZBMieVzHdI2G4gv+by SPbn1v8/BFwuPllpk/5QVmL/fwym6tEY8P6jgu67MjDVPM/+O5eAqebLl2RZ 3HC3YqqgQlQFtHGkyimR80iQxKW7WS9S0fop9WEJ3ULQSC7Q2yDz9t4C6fRG zTRcLMxaFpSJgJjNjz7VpM+IfGzXVXFNwWax0R0GP4JA3aIsXpL0zzHuIQt5 42T87Rl2hrUhABaLXdQHyfn3ksUCdS2HO1w7apNX6VIJp8uF9uVGkOs4p1sp mwUpft7HmC5UwJD7ID9fMAHWtD5tVpiEg89VvNhu+QGn59KD6mVy3l85/7JG NhGjnyaqvCp0g6FbxHd3co6utv+721ylBJRj20STZwuAbzqp5Vc06Z8mNk9d V+Ix+R0Hj5KhPRjGqLR2kf39pO5439JWKcTHvrc/fCcHJumT/KITCUiyZBQj yxo498rnvIhJgS2FJ/YC2QQ8F72QIRYcj0Ib7n3U8i8hO+/MtCCZS6HBbebg sXi0zyn5smr3HM422PH5kuv/PGLO2eeCIGtzLfTrmY/QWtpcXVdKvjeEkYUp MQ6pnZPXeqy1wCQhcGCV3D9hvYSz19tBu8pyheZiBULKFf7wlxR4XKMtuhLe Am33wG0isRZZ96ylRTpRwKfofNMYezxufB0PPTlthRJXjnx6S55j/1o94F5v HbjepNixpjSje/OCchy5P8aJIcl4MB51MHd0Ut8Rf7c+Mh4iOYiE330QnFwJ VyMwZzGqDbV2t0/lvKYAzamfb6+9K4VuhnZBy9B2/HfQYU3JnQK1oms0v1wT 0CMp5q1IhjMudxyJkiPP+cvuapXPkoivLL5bTP94g/f5T8Yh+b/wel4rZbDJ RnbWhGSHXc04EM8bwrSHANu9Vny3zxbg7wBJtYa79fiXdkPyhiQBKbtzPrhq puJjeRHGHM0ApNI4JShB6mrBfXM22iENa82qtmvZvscdDF5t7QQBBWWUdfPy IqTySxhuPVGFS46NUZ+fkOsxqj5qI0XoapSZa/q6CPNUm8w/knq7NVa+b3p7 FnbFbVh8fRyBm8z0Je1kPx2WoX71SzwD+YlXtObMIRjw7SmdCqlzee4rE3Pt n5CKh1U9U6McLsQ6EJyZBAgu7swKG05Asy5hSU3tEvi6Xn1BiPTPlizZmNKy NIw4S5v0vSwfbtonbzaTuSU/kfLNxzMVh0spbx/c+ggK9xUVTcj7+1ayDy7P /wfhasHrIX6VoHaT8soylIA2B/70z8o6cHzDgDCTqoQTIdf7mMi52FQzVdOF 7gs87H9/3+1YKchtcRdJfyKAdrNwf1AVgmiF9wlpzQzIUdD+1k763gVhdsvP +0pBoIHqet/+fFCafPI2mMzh2dJY6vkNwWtG8uXIWAwsx+CiCplPNsYyZaN6 49BP6rVgP+tj8Iu4JN9G6kovyPmK8HWEzmMcW5EfPwBLRfSuNPK9yV2F24X4 2mGDVn79RFoF1jJ+ndC0oYAOxweTt2txuMvxBV7ltER9TOmNJc/5RpXEaarX BCFoLEl9qQErjDlMfpD69NhYH/plHo9VNCO87mfs8InQMosUuV/t5/1/l3sT 8Gh634dkhjdYUpR5fJXUVXmq3pk3bAl4SnxYI7bACQ9x/VRNJHWoJsBkplWd iB4W9CYKGe64lB6hyEru51JYUHpfm4qDC57DR4QD8aRJnmUmmXs3OI83l55K QYEurwMs1/zwWZzTuBvpVxW75zyT7xbjSsbDrUT5MuRoC5cY9CTPUeLx9LPL wjr+l02n8iPx95/d52TJnLnWJ2ayvD0TW14c/MZ+5SOyBsv0rc6S5xsZRYjn pOPkcCqb4pcgzI7N3JCjEOC3mo06Ju2gS3B9P7xYjv9qjXGcsSLrdFQ9tU0i EX1vNFykc3SDQ3Iavv7k/W83bB+tYXcG0zBN/jMz7WgmGjeiWkCBZeYC90rh MeRuz2NeWfyGDiO6TJmb47CvjVWbsaITnNbPxWqaTGD+5UmhVslpMBvPXjh1 oxc4Lvv1bTGO4zfrkvPMZtNQLy4x9qhqEDIPa4swXxnCPzdCqz2PzMDu8MvR w7dHoMCn4uLvE324HrHQe8diBg5782jHyY6AgDjLBqNBH6Yv2U0PGc1A96HI rSjXGeySlro4X9GHe5kIh/HwYeBUOmv+y2oWP5aUukicGoTTU/WHOXx6oWpT qUzbehYz3PTMesva8Ftg1qpxxygkWxwYeOYzCkl7P1se2tWNnf19O2pqyPPf qsT/zfkKVxSWRmDbd3RfkywbjOiDwOPcPi52M6hh9aaIcmYMqtXSwjaOdsP/ AMt7owU= "]]}, BoxRatios->{1, 1, 2}, Method->{"RotationControl" -> "Globe"}, PlotRange->All, PlotRangePadding->{ Scaled[0.02], Scaled[0.02], Scaled[0.02]}], {576., -189.}, ImageScaled[{0.5, 0.5}], {360., 360.}, ContentSelectable->True]}, {}}, ContentSelectable->True, ImageSize->600, PlotRangePadding->{6, 5}]], "Output", ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzUvWl0FFeW7xvKSEmQxmNNLndV2lXlcnlmnmyXjZnFPCczmMGAAYMAIYQQ mkfEJGYkJISmTIXG0CxAwjYcbJftruruutXV1cPte7te3X7le99bb6231lvr fej33/uciIyUImXJt+6Hx1o7M5XkEHn277/3PidOnLP4vSO7d+5/78ie7e89 N+/Qewd379l++Lm5Bw7hKT1G0zxrNS1m+nMaPf4PTbNuwv/W043zmf/fPVHP d/p/vP/++9b/yBc1yP8P0p3X/u8J9p/J8v9r6I7f7qFHHvuVYyP/w/EVuNeO yndX2e+JdXkRP3h1yJeoz7lpf1k8P+F1/h778Yvf9Kok+Wnl9lf6hvi0Fwa8 KjbiVdYBHpEfWWp/9ZghXswPfmq/9FH3b1cfec3+/scHNAz9NbDR/8Py64/t tz0xxJEclt9x2T6WJ10+T4/2HT+03/bUMA/toPy+C/YbvzuS7/uB/Zu+N7Lv O2+/8QcuL/JG+77v2Ifp9ja3wzwgv++M/cYfurxoIOD29z1hH+YzwzzMD+X3 Fdtv/NFIvu9R+zCH+7b98vsK7Tc+O5LvGz3it6nvy7d/309dXhQX7fviRvy2 ffL7cuwDfd7lRfHRvs8z4rftld+XZR/oL0b2fSN4h/qqdPsYX3J50SiX5/7f Eb/jA/lVafYxvuryotEuz/0/I37HHvlVx+1jfH2Yb/y/R/wO9VXJ9hvHu7zI 5/Lc/2X/quG+Y7f8qiT7jZNcXvSIy3P/wz64icN8xy75VYfsN04Z5hu/tg/O 7R1jXJ57X37VQfuN04f5xv9mH9y0kX3VfvuNb7q86FGX5/5txO/YKb9qr/2r 3nZ50WMuz/3riN+xQ37VbvsYZwzzjf884neor3rfPsZZLi9yK0j+MOJ3bJdf td0+xjkuL3rC5bnfjfgd2+RXvWcf4/xhvvG3Q77DrWh6T37VZvsYFwzzjb8Z 8TvUV22w37jY5UVuFdpX9q8a7ju2yq9aZ79xmcuLvuPy3Of2wS0d5ju2yK9a Y79xxTDf+Kl9cMN9h/qqVfYbV7u8yK1SvW8f3KphvmOz/Krl9hsDLi9yq27v 2e+YTI984tO8wCPiYV7ALSa5fcAm+c1L7R+5fphv7LPfwTnlSfrmx+ibPULk BdyqqCG+fpH9Mza6vOj7Ls/12u/g7PkD+vpH6eu99PVuRbjbp8hv0xbYv2WL y4vcqvwu+x389c/Yvz6Ovn4YH7BBfvM8+2e8N8xvbrffMY6PQXyWF/gRff2T duPLTiM9ssztg9QQgOHyX0+7PPdf6TbO/ran6NvkS6wv0XS6dfOy+qq5dqNt d3mRW5+o1X7Ha/RodOSPHfD1sXTrpq51jq93/BfuVeiPfLlbL6vF5b0vyxb5 PC8QT8f1zMDjeqiOK55uVTkiPi0IiM8Kpbzdum5rncc6qPPvBkn0wx30du4U PGIf8dN0xE8MOGL6azQdcbx1xIU44qKA+LwooHn4VhefnwrY3+XWwY74Fe5j DFtd3vZXLs81D/EZP6cHj9m/h4PA4y6/5xH6PfI4Y8Vn8MDnhfx76HeIXxVD MOKL0wG3nmbA+UMi/8vtd29yec6tE900zM97jm694vP8AP9KH/3K79ixRulc /Uoyn5S/2bHZL77Ab/uyGHYGUeGrM+S2r84GxFfn2Oivc64/eU30n+wWVt0C 9nB/stvn+en2EfrJPvrJo7/pJ8uAO8rs2OQ3OzfDtijb6he/Ph8QvymBXUAT /OYi/ejfXAqIX1+EXSCaf13imqlkotfc6kc3zbo1wY9dnmsc5uexDB6LbIKn wk0QybaHbnXVCF3r/GbXBhgaovs92DbYdr/Zs53vPeK31/Ay8XfXA+LvSpXh 8d9eg10NiL+5EjA/OuB3o2KIJnF7+Qb14xzPmfPGbXBrlYZhfiTnhyeoVUbb WnjKTvturSLjmNmz1m/eRsPcRcPcBhm30TC30TC9O2A7/Zpu9r7v10abPTv9 4nc3A+J3lcrw+D9VBMRvb8iWQgu5jg6tit40bi9f79Y0412bxi03u30k52ud miZO/IrbZ1AjjYnaSD7TXIkGCfjNj9fDIKN7aJx7O/1m//uw3Wg42J09ft28 vdsPyHp3+8UfggHxD3UB8fsaWJVsr/9UjrYqC7iNMq2M3kRuL1/n0kTzx2/w u7zU7QyG20d+326iMdREsXYThQPMI9E5MtvQRHfRRJ+giQQYEmDn/h78/YHf /Giv3+zb59c85l3cPmLexd93YLc/YBP/ZATEH0Iw1V5/f0uxdcOdpyEay21Y ba17Yz3r8tLQMD+SiygPNdET1FheOxSNsnmK3lijzLZVaBA01gOrscCSQIM8 +BB8fej3mPcO+LUxZj/+7IPdJduPNiPb5xf/3ByQbQbG/lAr+fr7SleuVkRv KrexOqvscjZVwoT1z7m8NDjMj1TdYWohaioy1Bi41cUX+Wgl+lv+L5qPTPPZ 9Qo3pG8IYVoNKZwNuQ+WCPIOoTFhHx2iBk304+X9B/Fy2N0DslHRoOI/twfE v7SiQRsD4h/ruUHdPL48ekO6jUQOaEhz/oQNsPVuzLk1pNtHPmE1ZF64Ib2S vi+4Db9A3YZH/Bc/F0//OyayNUcPgWX7atmaD9GaD7eiFRHeBJgTh6HlJLTi J0mE5cdH0Kiwe3j6Hhq4H43dB7t7kFtV/JeegPjXTrRqG7fqCFvTbcx0zYDW BJLmgomuWNYN8yN58M5DbaPLcPcFhTs0ocduOe4HxNnRb1TUlovnluunlkMG fYjs+XAXWg2AiSMU9R4c82uPmfeTweRRMEmWpJpQNWP/IW5C8b99HBB/7Atw E/6LySp3a75l0ZvPbVR39cDmm4jmm7T+Jy4vrR3mR46xm8+jFMzkFbBpT9Gt lWmd9A3Vhh3UhmtVGyLBPkRSfQihiiRqQ3Ec/D1IIf7uH0NDojE/TpaN+RHs XpJszP7DfvGn+6oRu1nZbkFp6f9cA4I9c+HwG9BtqOmRIRvwu3Qb69KA8dxY Twys8Y0rb/vCDbgRhnr2IdKvkA1oCrQZmtB8QJaCprxPN58cw83HoDPO/ChZ NqLdgHfRgF0Bt0C0JHrjuf3SVQMbb9IGc9Hk9W6nFmtcnnMbZZcnRDlZQL0q HlLYi6N2ixdfFiBrRGnBOG7BRwe14FW0YOcaNAJaUKAFBVpQOFswOQJDnVqQ GpBMs1sRf6uWFP/+WUD8CXr+tzsjbUW3n7xyUCuuNxdP3vAzl5dWD/MjZWTh lrFyr0wujgblrPIoNeioaA0ayw365KAGvfaOz6ic4ZMNusnRoAc5Lpri6CAs tYFcxpofp6gWPYIW/ZRb1DWeL47enG4nT1aEm9N8Z9w6qzndzj9XDfMj41Vz fpobiGhSZ3N6ZIb5km6+oubEI118VYgc/iWBS9rnVGRleGncU4tIRl5u9MfC jZ7LZlx7Wzb6R1ajowwXH8iCiNK4ItkBsk+C7DBq8o+Py3vEVvHnrwLi3x8G 3ALjItnqs13+y+2Mi0z7PFRlzqBWn7zBXDJ5vZkwaZ3mRrJb07udZlK9YfFp TsBqfs3jEh7CzT/GbnTtSXrSvI7geQ12BXYZVeUl2AX0ac6v8JvnYGdgxcv9 5ilYISx/md/MXeo3c2BZS/3y68Ki0GWiI59IH+VyosPtY8Z1+OgWfPQxutxi s/LRXiWMQ1HFwdpAlXYff37iMHbVMeWqL0bqJrezVcucbhpPblpvLpmywVw4 eZ3mppBbw3S/d6CbcodwE56Dd8hNZNoo8VWRlIr2jFmJUusmYnUFrBxWBqeV wgY68aLlRNhZhxOLBjgxG5YBO7nEb55Y7DdTyRb5Y53uxLE+brnSllspXHn2 FZ/5yboB/Y8PB0lOJg+dvKmTD3Xzk1RKI3Cd+O9/I/sLbr5bGN13bufkljp8 9y58txC+WzoF5cqU9XI0eMDrbw7zc+Xga5wQ8N1D8l9YanYRExHdCnkEtSgg /loauiR/XaSeM2sQnqrXUptUBfx/IYcWwJl5y2xFmhlw5snF0qEpZIsgoZSF 1OYpC/x84BQnHpPhFL9F6vOJQU4+9lOfcQ5OfmA5+X2l1/0umk2xYyvfpJJs 4Wcvedv85ATLVfyfvwu4JeQF0V3tdtZmidPVE9barl40dd2wXf1dxZ3jOfon HmQHjIZFPulqR0JTEh3gaQ+5Vhe/LqIKDA/NIJqqDlYLPytfS1c/OixXX1Ku LoGbz60EJsa1eT4t3rg212dchV1Rdplsjs+4NMeH11zErW5cwN8XZrPRX7j1 Ggen+8wmHA4sdGuOPkpW0vhdrhF6jHH8eXzmS77IjvAHyuMHBklbtz0OP8Pl 5HHLPJbMU/x2o7tVyQnRfe92wnCxw/czJ0iZL5u6zlwM37/g8vqKqJ/7iPM5 8ntY4vD7p1YhExGaY52h2RI5nS0ooo5cA1rNQGvXw0IwBwwQPHBAEqsGBeAh Gg0e48Z8nxZrlM33GWXzfEapsuvzfMOHIY687yHnx5PnNZ18L39VLoEazf+P Gifg/6uW/9GdF7tU6bpXhfbBmVpzk73lfKTp/3XOl8JfNm2duWTqes1tWmO5 y3PyZH88//RPsgLiPuxBjnS+crzKzV4pejj8S2lhycPZTWiiRmXseFj9enY8 mgSu97DfY2UYCHvduDmf3FQxHx4qn+/T2eHxA51NrrYcDTXDzVCzw9Hk5ljp 5guzyNfT6GUOuQM13Mayr58cFNlPws+l5Gdr2IZ0vtuhdaevVRpnsWu6rMpS 2agzqJztVp3Oj+5dtykXi9ykDe8unRYYtnfldIbHxJklP5PezR7k3XA4V579 qsCWs8ds2UA+a4YjycFNG+Q9HAynwsWIcxHqXuvXjcoEePFmgm+gU70RKoZT pYBjB4n30lwi4hJH8YsDo7jl4KnSy4+QWz3s1qcGuTXj5z6j/GWf+TW68V8j XD/coUbkLAkPDONSwnpkgaZxhWY3qVuXb150z7pNKJGlXJzDs+vM5fDssulr zYTJATfn3vgG534M5w7HwcqxprkBnLZuoLN5cDE7uHlD2MEOFRtVCdT0txJ8 XnKtx3atTq7lAO0hr8KREWKdJ8XqYbHGSseGxUrpWTrUSw71kkNJsdPCih3N t99hr36qPLr7OZ+RBa9WklfRZfoaNfbXh6VgHw4VnJO5JHPU3p6wYM37J/xC cMk3Ite6Tf5ZMMC1C9i1683lcO3iaWtedHlLWdR4ECfuZQbER7ABLvaQf2mI wfKuHC402wF6O1zYtoF+quVjqWLdcrBRvYCaumqBb4BX8WRFgo9cS6Z5RuDf OEu4tn8vStF6jJLZ+B64mLw902ccnAybwr4e5PH4sMftMu3MVN3IfcFnVKPw /hol2Nd7pJa/ThoQpt16W8esMO01RaodpmVafnDCT/OwcsPzc9yUPTe6+92m YSU43P+ucv8KuH/FG2vNJdPXuF0AUBrV/WNEP1zvhoCtcNl3If+bnRvxozro BhTgB7dtZA6IAoJAN2rI4fC9h1zvJdeHYzWCs+X6cmmujr8+yPGjojme/G6U zLLiNVzvId/jw+B98n3YkKul578b4fmzU/XQ1el6qOoN3fwa3a2v0af+Gtr+ +qCK5Jb33bpgyeFIrsU5c7Q0KXi3MY850R3uNn9sfoTD19oOX/kGEvUbAdY7 T8tzC+DSzT7RlxGwXU12eoCrH8pA7iEfw7OdNIFnozTL4R6jlpxaQ+6VPk6Q 8o515uMER9CGZh25OOxaysvwrIcci0IsilvDiiYNT1K6nkxYwL8eJe5ERwGm 8+33Brn4Glxc/YZu3F7oM24vgi3xsZv5zMVOR1h3H07hsO7oeOnkYHIuR/Qn 7fYfIo67Taab5/DrrInSryvh11Xw67I3Atyt5ndoPDXLeu8QwVwXd+Fm5WqU 1HA0+k+nF0e4muYk4Sd0sZ+7LD9v8ht1C9GodQtIqLVoKDibfG1r2mv720P+ hsoqIeObykjWJPKBBHgHltmyIgt3py5bFZkLBABA+h8J/F34fqJPcjDJF4mA I757XBA4BwSuA4HaN3WjF7+IMVgMWwoM9oeV/jCa0o/ao2r2kAtivYfc/1g0 Lw0R1d1m5MmXx9swLJwiYVgNGCixL5q+WvuJ/V1uE9WiB/nHxB0gwWhkSrMi gULD7EYA7wYGdA8wGAvcx0kmaknsNURANbEQiYE3AoOb82XhpjECVrB35HlH SCh1CQmqy+Wo4jxWXU4BYSYbPg44aGOMgxMioLASv5GIkA8o7NjQuM5PzeKh B5o3eGaSFrw2RQvVvqUbPfQDexf60BNXSBi3V/jCUcGtdxbZE1dIUICQUYHb /BHbV27T5yQVmtvlN27zquY44JgzaZ25aAqi//T15hrAsWJ6gKo++T5+m9vc nOhwjBK30wMMiBMSBYhZu2CMh6jwEB74id2IE0HIBwafBFXE8NqI6JGIcPb3 2lTEMgxe4sBJgYfHWnQLBOZA5oa4cC2vwoLCQGcCnjIOjvdFUjCYAOPQGz5u OTg/dHG6Hjw7SQtVvqGz+7vxWyQCi3zaY5QYjNvLfUbTEjZ5WtutF+c8beIO wCjbH26zKv4nAJgLABYrAAJv0P1asW9Hvkwx/Da3c5bXowHgEb3pNPByO5IA j9nDCaJuwRh6ZJmuPA+nU2wggz9llOD/cGQNjWGAD6tR9t1yWKW898heQSV1 8yxC4pyEhCnxOPvyAwbgeCxWRonnZYR4V9kMsDBuMB+JsEPg4xD4ODSd2Qhd QHq4BDbOERtvSja6UCl0w3rJFvskHMs4PkhAkD4eOrsFA7v5fO5T9g9S+PQa 1wtxQ/ppCDCejfpyCcY8gLGEwEDaCExnMHgg52n7C91OBFxzeY57/XokGGYv COilUrCHIwHAMEJwdGghVeigwqtgsGoHRYLH7g9oXEE4SVCdA4uAWHs0R6aK 0W5jsvYwncJADeN47cKBI8S7lDdm+LQnjYNjfYOiBBFwGAQcmcbeD+4fGxPc Py4mVIqocBPer1Pe7yFbTF/Ru8SnPS6zQzg8EAFG0zKfe3hIsimQmYKcz3nb E80VQ/jebfqZfN0o9v38yTIoUL8g8MYGc9V01JDTAmbCtDXfs7/T7TzpEO7v SQ9wcPCYtzfB7fA9tFw12yvdvsAnE4F8HGcTgDSwUOaCb/S81/Y8DQvIAlIN C0SAwF1ETzhTjGEGHEN5xsW59oiPLf0L78DZr3MI8JD3tUfI/8HdL8cEP3g1 hv1+4PWY4EH4/vD4GFY9+Z0U380+71lCwasXPu5dNkj5HnK8NiqyMBjseva6 PBnNTazMbRRoCO+7Tf56l29Hm9PGBWz1MwFTN0D9G1A4rjeXT0MhidrgKTsC uJ1ujYqAV3ST9+9s9jMCcFL9QhY8UQCfBinVB1n0QbRaiAxxEo9RFSzibICn OB4spAat4QxB2aFamsZ0hDuSmm7lhnBp6RnAhxpEUmODuuIjoqcRUVA+w5Bc lBbMnxQTBkNGhuD7L8YEd8H2vSKpSAQViUTFuJjgUZARtHIBfls3vN8DInqW SSp6l0sqbq8iIpZSxwZcGE3LfTIgHFRB4VAEGaJk+c880dwxBAdu89hmKA7e cHBA9eFycLBmGjhAJlhBHYhpATn6xG93OxngxgHnDo/oYg62UNy/u8VPRBAK 8ANF/9HGrdkMAwcEKzAQJjYRrKfQEq4Zl/DfRh0/h1sPUYK0TpyoyoH5qJJD iIPRuGWhwaHDyxHD6xxWJPPa0UMnOtQjKi4eDxZPjgmemhgT3P2zmOCenyMc vBAT3PsLpICXJACHXosJHgIEhwFBMiA4PiEmlDVdJ+fjkLuXUsLrUc5nWwkA VkakBA8hoMVHQNCxdYzZsW0MOZ+jgtvptiGc7zZp6R2+jTXfHLdW1oYT5Tmc 5VPXo2sC98NhK6avE/u28XIwjl6J28ji0ADoZh8A8BoGnGrAV/XSPMyAzgwo n5Ov2aX18DO8Lg0NU7+UmaHoCQyocCQQVIyw0obmle5PsC2eXB5HHo8lj+sy O1QkyILBK0ccKC6MZkbwDnTx4NLnoWm4dz/c++EvpGsPvxKjecjB6AYeJddC 3xnT9FDOG7r0bDx7toe8ukJ6tncVvLuaPYuDp6gfC8C9ZsemMWb7ljFW5JcJ foQ+dZvhJFea8JlvKZ/OkROAzWUQ9eppMrivhE8PbCsy509dE+5nuA0rRHUp Cjv41Ox/z2/2b2XTaRIGfqHDt5p0bqzTuSzoelZCPTmynmCvJ9jpoRGCBZf6 BnpWxn3ZI+D+QBWPFVUlyFFiOZSgy8g/n02OL41S0b8ywRn9b6oCQvs+fxZF DOqQqFokeB7a/hDOPwDnH1SOP4K0f/jVGNb2UWj7OMq99Kk66TqUh7KviMYC 4PUeeL1nJXUIV9E39UrHG8EELw43uMArhe11CpuGyd3i6RB+d5sy85ZUqDll 3Frzl+PW2b6n6aJLpyCQU2Kfxr5HWb8WpV1ATkbkj3l2mM5n3XvI76htGuGk xkXSGkjWUtqesK5HGbfmRGZ3uJ4cz842luNlxgqW+nLpe5I5hfg6DgO1zlJQ nhCyxK15IkcJHpfJvpJUzUTQa37Avq0N+9aohxnw8QE/fPwTLZj4gvLvSzHB I69IHzv9mwlx58K/BSjvin+pW/41elbREbQv9eKo2pd5rbitecLRWycn8zkQ OhM2Qg+7TYx5U3l4Knl4vPTw7AnKw5PhWXh4LaXsaXQWnkq3gBZer8ot+UeX ty5+fyZAFw+G7q/W6VctpvYnhzdIw3OGDNJWslYGh6sA/ig7POR0OFqvYSU7 Xj63RIIRXBhWuhXEaxKk0lUu5y4Au/YJmbstJ3voVdpf8esGKJk8bTTgcxsX wuPPweM/1aS3ka0Pw+MI58Fk8vZYhPEp0ts506W3T70Fj78ZY5iLvUbbEi95 nOXcu4a9rEp4XbqaXGy34AiD+FCungZXv+1w9XwIegm5ekrY1XRa/s0X5mpc EbpFhqGCOHn5o21+oxmeaqZiqoluGummgepw8vFTto/JT1YsZ1HDfwY6sE1r /WZjwG80wrcN5Gfy7eKwb+ukf+38rHJztTR24yhVpd2aHw7hXhnCbTnrNhAy HNCnfZ/lbTmd5b3QdrrRBMcffkaVZcjjh1CnH0IoP/pq2OlZkHk2nJ47LSZU MD0mdPqXeujc28jnPRzCe+DznjXwe8Dpd40dbzQu5xFi1ykUQ7jcbfqEXCnr Uah7nTnd4fY57PYNNOXfXAG3z31hgTnr5wnmjBfmIYcXI4cHXBGK7vVY8Yez AbNnk99ogf9apOfpBy2mJreCugroCOaLVKXOLVxJ8jZb+GxZM50ggeubAjSS 3RCgnGAQEot9Ecg4wjhpOCJrx9on+NUjKWnqGpJ7/bZ7I3Qd6WKjeaEciDmE ipzcnEjRHG5OeS0mlIbqO2MSKvCpMTJTUyR/i10cuvAOqnLo2vJxT4D9bDQu xdc3kpfJu+KjLDkmO8IY7jaTYprDy2/A3hm/PuzlCRvMN38Kzz6/wAxM3Wiu QTxfOW29OLTjjJkwAi/LNTTFH2hhiLCbueRqXkL4LqHBjCbysxXPVfKutxL1 Qp95c/4Ys3W9n13tIVcjHCmdk6vJ7FrecnSdNW7H+bk6QQ7lq8JMDeFoj9Pt KIegrfFePlOkBoeD0iiT4PbpCI+TNS+SHt/7Ay14CHXagReQy1/Ugkdf1kJp E/VQxmRE8qmyNit8Q0bzsxB2yTt66NIMeH11hNc95HIPuVwnbw/h6Jku//Wy y3NTlaOnwclvjQ87etJPEsypsEWQ9PLJ5GTp6FXT5KzYhVPXjszRkPM/ng+Y tzf7zV5Yz2Z/MDgbvRTyODscIZJ6lo2Lw0Y+Z5EqX9MEDIe/jVoVnBGMQ2Vo sVJY2Qw5fhNUWrT0rJLwLT6lO2CYTp3oHdz/jre1ztlApXtr2LeOB4bo80Mc 4elrIyRPhz3XKyX/vAbny8h+9OWY0IkJeih9EqL6FIroSOXkfEj+DJx/HpK/ OEMPXZUAoMe2hr66WyqejOTujUbArOgEvOLyHC/ipT3GUv/Fs/PMV2Fjn5uv OtobzASYkwKS/CqQQPl80bS1I4NAF/9YEqAVMULGXNRrhAJ+WSt+VQusVQYA iUOcLX0bhUW+UN1cXYb60Vyy1y20lUxeYu9XzPMZ5XPhVJ7ZXJPg8P9oQkXz On1sV+bx8hGXb66+9ti+5p6DUnstHQV1HmCW2nd+XwsepF4ZHJ78EmL7eCgd as+G2vOmSmdTfFcpnOJ76DIcfn2mbnRB7fA3eZvVHvst3Oy2ZCmvo821l/a4 +YJ/Pod1JG/z3QlS8fPgY7qQdDFs2aSN5uopG8218DV1yGi8fTH8PX/KWtdO 3dWhHR5qnKeT0zW+9RjmMorsltcta5anG0JGgh6qh4Xm66HgPF1V8eTzOKNK +ZxM+Vx2qOTJeDo3T5VZFY+u35J9avXcLatSG1C9cQd8gNB1Tg06BxiV1Llf TIegzgYZ1TgUshpYA1UOkLz2PRI9M3DsmZjgDkT9D8FB0osxodRxYGBCmIHC 6WHBEwMlb3PED119F3FsluSgCxx0oZ6LJwbcyvUhGHjN5TleX5afktcePc5h /00K+xPWmTMVCFTFLWQQNprLCQQIf93UTQyCzPPnzIQp7uH/SlQQ4ln5d2hY 1bKt8p7AYCY8hITmDTUt0EONyhoSdA8RoY2RPMzXI7JC1eAYIEU938fe5ZPy 8Q6vW5HdI2d0cd/ccjj725HY0YWg7vtsrxopMCwvf9f2cvIPY4Jp6KMnPouw /pOYUMpYPXQSXs5BaM9HaC+aRr0z5HTk9fO/lEq3vAy1h27A052rfaO+hYPd Fgt+2XawnDrzBBy8HmW6zO0zULzNcjh5EZy8hJwMB6+avMlcN2UTR3h00EXS jvOU40fmYxnd78Kvd+Ug+laa8n7nPT89MtrQETGX+0ItixD5Q80L4VOjFb0w igOwkAF3s/aln0N18/RQzVw9VDVHD1XMiglVzNatnpkzf4dPrOPRaHmClUPC rfkD03mc3RHXZV6o5fm6s+gsT6Ua3FfyDrscid2R0OlXU5wPHvyeFkyC5488 FxM6+rrO+s5EjM+bLL1+GjH+HLxeAq9fhNevwOvXYKXK6zie0eR1t8vQhvD6 WJfnXrC9Hu/w+huwt2R8N2dN3MBe51wOjy+Fx1dMphi/CTF+E3L6Js7py6by tW4j8rqH3fyo2Uduh6v73ou8v7tN3gODUMtindwfaoY1LSQMoHHt0VCD5foE 6fpauL56Ll9dFKqYGRMsnxFjT7lQBZ/mdVwUIc+NlM+PODcS62SB8rujlE+w iv8Kdj4QkLFempXpF9J5Nauqsyq7BjmSaIOQhECfDBA2/UALHX5Nt0NANkJA IQL9aQT68wDhIgL8ZYBwFXYdIJTN5Nxk1qz0m3Wr/KP+QjD8zIZBLpHwJOS/ 3nwT9jbCwMzx68054yUMC6m3PnEjJ/uVkyB9gmGKhGE1wgCdWluMUn9elKT/ DUTEMhFEAY2+923jewQFPPIY7SuQ1UKtwKF1UQQSoUZYA6NBUf+RUAgo1M5l HIK3ZmjBm+9owep3JA7kSp6VSRUfT5q5MU+eA2MYvPK8CZ9LsSiIc1AA3yv/ cxyIcLxD/z+Q+lcup6Ke3J764xjSfyjxFd1V/+cQ9S9B+1fg9mvUN3kXmM71 mdVwd+0qvxlc7TdDq/0yt4/Q7+NcnnvW9ru85PmpkP/pBez3X8LnM3A/e/wG cy4sQfl/6QQEAfh/1UT4Hv4PTCb/b4bvN/EIzlIEg4Qp60bkevKv8jru8Rd8 jpttfu27Zv92PLndb3Ss9BntK32h1iU6E0BBoRnWtEh6v9EKBvA8eR8lf7Aa nr/1DgLB2/D+2zHGTfbzPOf1bdfnSiudK/8u48l2eI1ObMhpV/RZiDB0Qx0J +ah2dox8jjDQCQNNd6YCzcGCboUALqQ9RIP2neDJH4EF8JCKCiCJQgBYSFdV QBFCwBnkgosIAdfeZukbFXO4dyKlLzkw69f4TSOgeHA7YT4ED26L+fNpMsdm LU+Fnns6AQlhPXXxzXdlHKBF28wFiodl4xEHYKsmQP9gIjBpM5jYzHFh5ZSN KAlKaL7uCENBnwwFKgz0b5NL/X20nUZr7m2ndcR2+LWnzP4dfiqEjI5VvpC5 FGDAWpZIMCg0qFqQiwMCIzhHhoOyt2OCl9/SgiVvxQRL3oyJU9dI0bTra3Mj oEBEqZ2jczAZ7eCgZnZMHD2KC4XQI/UScXaJHxkH2PccAxr5rA/5/qngUfg+ 7Tnp9xMqBuQjBpxCDDiPGHAZMeD6O9LnNwfo35A+pzGqb+P2CS7PhWfByck3 3wk9+0OEAbj5bQoDsFkwFQbMRZbrxyEUjEcNAFs9gcKBcj1sJdxPJ+YWTXG/ Bn6Ikp9LQYoH/a7u/3gH3P/RTrp53689zt0dMBBqW6aHTAoOSyJTA1UJqmMY vDVLC16bAZ//MiZY9IYGdxTOgOOD2ZNijOJ3fca5WWpuPc2aDFXP0TW4GtUE EKB7PFfDz9HflF5qaTiCbuOJDY25oMhApnGg8NB/MCqxhEoskeLMEkyGKg6I jWAKyDj5LKrD12R2yAYZhegTnAEZF97UjeszkbVm01C1igQrJRX1q+XIJY1g Nq7loWst7lvg4bbvxndtPOSHfTf0E+DxFlCgqEDVwWxkinnjgAds0biNMlMA j+XjEAUIEYoOE4DGRGQKYEIdh+VTNpqLJ6+n6Xlup/qjEzJqECGKDvOjHX7z 4520pMf7uPl4F03LQlfYYgQuQZTA4bcucSSPxXqwPgGJYh7YmBUTPIeqsRAs ZL/p5fsCGCgJ3ZylhyrJZqPChFXNlp0MUBIbDQuPDBmggh95XYiIYyIoOskL MxiGBgVDOmDIBAzJr+qh44AhCzAUAYZz03Xj6gxkq5lUjwCEFYAAIIQQIgwH CE18pX/zWsqpLWt5rJ9M078FGG5buDxhgyG7od8zp8HZb3Hc2IDyYYM5C2DM seAYu8FcOFbCsQRgLIOtIEDGOeCArQQgKwAInRRKiLLUzdC5Q57DHxXJBeyT nX7z/vuwXXi8i64U3+1Hx+fjPX6jex2PmhidAYSS5QglsFaElBZY8zIgslgL Vi7Uglfnxhin0eyFMxmNUPlM1AE3Z5P7iRA8IkLg/lv8HFFSLSmREUUGklib lWr0UasRMcCIFq40GJJ4euQlSHQbEg89AsF4SL+dsxqMwkcwH7RkgZZjoCV1 LCcV49QbiGZvI5WBlnKQUr1cklKvSGFKAn4bknV+GidnSGK/BSSTXZ4bY0Mi 5YuO5vjNoecRQQiSd8kAx0xAMgv3c2HzAcoCC5SxSCQAZPlYggWRY9xmD2jZ onnNlRMlJ9QvXThp/cgxoUpTRZF775FSKMPEm584SHkAUh7shu3B3x/wwmh7 6WTRJ3v9Rs96IANsOtei+lgJXFYBl1V6MLQcqCzRKJswBR4mQrIBXBQtNDDB D70DQ4qkhYNKqAp4WFYrgwzFjMGc6DYnXg4m/NBCRGNItMeDN6ZpoZRXdOPk JNA7DQnvTR8tuGeUzwyjYQCNhtWMBZ8Ta1mrzpOJexQ6+KJWuriVL3P9Bkbe dfmvqS7PhSdqybO4T5uTx283p47fajz/cmrQ/5NEkZF8GX0SyjhWYNmArANe xm4EL5KVRa9vYl6WMS8IJOBl9fgthIu5EgFmOWzZ5E3iwLaLI8s4PxGf5was uWDEiowssI8RXYiX++Dlgbogli6Msa99UNdHPcD9/X0IMxvBDKwT1rER3Zm1 cM1GWWVUKwRuyRjCvFBMGZKZW5IZxJtZMZrkpcZZrXD96nGhJpyCPA5qJDGI S/Wcw+i5McEKUHMdvZAyVKRnQc3lt3zGjXd8Zu1SpBxFTBOIaQ4wKRKUWCco ZvsmPy18D/10bPZ/U/pxo8Zt5yyvTY2csflXYt/RTuOlsWkiOaVWpKbcEKnH ykDOVZGZfBl2SWQlXxTZRy+K3KRLIi/psjkH9MxT9CwAPUTQUiII9EiCQM/4 rahhtjA9yydRWgJxURbK+yaE+iyEFEZOhB7slOHGwucz4PMZsPkU+DxUl9Dc x/0nB4DRVmAE69zqC7Wg09O0XGaTGplquDCxMKqYbYceBBWiJ1Y+T1gpq7LS EzMTa/d5Ym1mNO780iP+KzYyN2lemYkkOHyugB54qPOjjQ7enBYTKkWXpvwd HNIMHOZM3axdDHgAUONKhkeFl3heP6FdUUNbJXRstrdLAD1dW/gK7C12LRNt IGTmN6EUuedIZPjxicPHu2Cd4khqm0g63gxrFMdS6mA14kTKDWP6hB0A6qqH yNK+I7LBVg5zdVnkJ10RBUeuiqLD1+gTxZlD182F4Goxs6W4GrsFmWwr87V8 /GZzKWwJ2FowccMIufqx5GqLPyI8MVewT7ar0LRLhqZPFVefg6PPwNOntCrL Qfw/7H6i3+hAZ7odnSmr8mlZoVvnxCVTsEpmRUYhB1t0b2U6QoueCldCXn6r qpftOsirclrd3HDhPAzkZHKjR/wXoyYbRw608OgL3cYHK6fGhMpA3k2QV/Mu fgy69aF5PrPVTmhevsab9qEAW2bXVv9o2pDC8y24mj6Aop+Joyd6RFJqN6wT 1gEzxdHUZnEUNKUcrxMpoCktpQJ2Q2Qeu0ZEwa4gTF1WSHGYYqQKGanrFlLi bGKpOJd4A1gBn9eBEWzl2K0okrai27WFkVo6cTOS3RVz7qT1rtdHXHZ5Tk2C pfnsj1ulkfnRe4PTnVCx6rO94Alx6guw9DnsM1ofIpHOzqHb5TE6eRpCB5XV q+VZMuu8uuKnXMUoK7kxTZzgGB2PTG8RsWlEyMRLZOxxmAa+KIdu8Z1v64SC xIFvvTxWS5MImpf4aPcN3by9g25oxOH2+xR98FBuybGd7dug8obLc/J0/fMi GdAkn+iCdYjkVDIT1gwDNKlBcfx4rYKmXJy0wDl2FdBcATSXRQ4Zg4M4lHQV 4FwTp2xwSsXZQ2UEjihJrBAlBysZnhWvAxzAswxxaSngWYzKadHETXTCzy0c XYrGjfZDOxz1hStric/2cDgidD5V6PyK0EE4+hJprUdNV6MJTDRxpWst/kaF 3bvRZ/Zs8fP0LTk9upwXx7gxz15cwcbISnW6HZB0R1+sytkXcwWqzgLK41Zg DxjTs1mS8MQazTialgTYIp54aLTwtOlWmkZrtK7wmR8h+N7bxz2PvbQySj/+ 7qNtORCY7+7hHUyMO5t9fymmZLf8CXEsrQvWKY6BqWMn2sWx1Faw1AxrFMdT QyI1tU6kHq8BTxUiPaXceHPCTjB1XWQxV0hzgEr7LrC6bGOF9BbG6nAkVhcS K8XFg1Xi0oFqxCVgBSPMCKuFiEsJEzaacye6Lj0eHa0nwmhZ2e69cLZjtGgB XxThnyLTfYYG/Zw6aXI+O12y4CG2tCeMXlB1F/V3/2YfDSbzqWaqMFpoybyA P3TtLd24PsdnlM2Vq/FUqOsr6KRw2SyvLoNUpcxqjpGgKkpoFlZeWXfLYUHF Ff/ljWRLhigXrGQG85mmDE9GM46oDUfTgaPoBF3ty2DL8dwK2EqfbrSt8qHo vn9I7biRqOwQd2wPUmS7t8sngUPb9O32u00dGCFfsoh/URxP6xYpYCwlrUNZ m0g50SqOn2gGX43gyxAnwFhaao1IP14JxogzxK6UUjBGnF0jzoDZFRW/CLSr ErQj1weDdqh8AGg14vKBWnPJa1thAA2wLUSdtWD8JnPehA3DBe0ZFcN+5Syp HDHMKqmoVBdyyTOjG+3fvVJeOGFdDnUHsatvPQhD3KJxJxpv6t3K60HRwC2N xtCijrmod42rc+Sl2zfCC8UYpbO8ar4JTTWxU+GAGDYANrcYNiApqgsTcTtK EmfRRpQhJpkcw1pmgzAc0e0F8rp+/DJNTieMt4bIKJ8b7WRrfObDY9YSMA+S aZb0g0Sf+ckRtekLioF7iO7A7i+Am7xI+zsi9WQ3rEukIqSlArfUtHZYG6xV pAK51BOEXANwC8JqxcnUamB3U2QAu0xglxXGTqPYdlX7vkTPxu6axO6IhR2Q O3wD2CFlJt4EdrckdgcJuzpxfn+NKNxbZS58FdihHksYu1ns3Iq6a8IGt8uT o6Pn5Rh3N1zNe3hkKta4i3a26dvhN7qWs09WUFBbyddcEnprGD0OajzcuVsO PtSv8XslbeYt9LaqV/n5XKdF3PWZXnVJccRElwGjl/qA8yG1nEUVd3PC8Y25 4yny8WHGuMgKMzbaaARjXTiGu2CsD5GsD4d+F4q5swEq2sBjJPh9nRtoyl8H nu9AFdC+1md+lgbVpfLCIkQbbYdjfnJYhrqPDvhdL08ZIWQ8qO0RJ052aY/h tkOcAF0nQNeJNBPWItLSmkUaCEs70SBOngiJdAS2dAS2jNRKkQnKMlPKPUCs TNMZsmzENkJMgvY9kXv0Cgp6BVnSdVHsClmlhCyxWlxWkJV8WCeK9taI7D1V 5vxXtpgJr202543dRJC5XgQfnTIfweAMcnSFrrPONzrgkk6aW0ec+TjG9Sjr xUstQK3xdQVanIIMgJk1q/1mXcBvBgN+4xoAu2lPoYuYPcezqWLtSdF8FjWW TqGOCZ8ki+VLndRsGiJJnkanRxKnUUYTcOoGTn0Kp37g1L8JSG2BKrbQZGi6 6dpMOHVuUsNvG3zm51moFNJRMZwAVoTUUSB1xC9+fyMgfnc94Lrc9whxkotZ PCXS0rthXbBOkQaq0k62w9pAkwlrESdB1cm0RliDSCeqTtSBqBqRmVoFI7Iq AJUkywOoriNP5SQzWmy5sHwgVQCk3LA6T1gdIqyqFFa1jNXFD4OieF+tyNlT JdJ2VZpzXt5szgVaNDQ2Z/xG19U13NBSq7jZAayPx2tAifYYDXcZHUt9jJVC i8gyupczW+adTX6LLVotwLiDaAeuvMQof6I22gwBpto10urWMFjmlTljqGIz jbV+NQ+/yp64bcGl6XKClj0hl9dkimDNZ+VFdVWdQdMFuaD/sR28LANvoUtT daMZxPUo4vrxM/oDXFAafdtx+LBeWA/ZNvzE93xyxA40KvrML/LR9ckBfZmg j4Lacb/4w62A+IeKEVM3PRp1HnEyvYtuOrRXcdsm0k+asFZYi0gHb+ngLR28 ZaTVi4wTQZF5ohasVcNuiSwwl8XM3RDZbGUiB3kzByHN4o6Yy1PcFVrcJZUq 7hDKDpeL84dvOrhDKEusE1cOBsFeSJzZXyfyPkBJuKtKJO+sFAe2lYdee2qR OXfcxuFiJy/sjuVodjfcNzDal5KvO/i69M6lCjnqjPFqHV4LPeuaV52mFDBv 2uM8WN26Ua7EW79WouaCnNmwVp1rX+e3rt2WFwDQig3hiYHW1GDJHsc5XieG LzWMJ/YYvfhvIg6FYi+I61+oiEM3ph9E9b+POLcLwiHD496dsB2Svgjy0N35 6hQ62oUgL9cv/qUxIP45FBD/WP0XIe5RmzhtHG47CTuRTtCxtSrwJHQZDJ0h MtNCgK4OJgNdVgR45S7gSfgs8AqOXh8M3hECr0KBdysCvKsA7+rBehRsIRRs gH13tUgBeInbK8Se924EX358gTln3MZnRwSfbqfTuzwpvZ0usCPy4nldqNsb /RZ9TF3Pch8lTpRCqNN0muBGc16QSXu2yH4o46cWhW7gM/iIfXi5jZ68IpG2 cqDLM+P4UsXmtWzMHV+CYs1K89oz0+scVx+FAeSLnB9h9nQne2o87OnQ5Wm6 0aLYu4eO5z0oph/lWD+46gdzfXvBH+zOHthuySEx2ONgsEsyaP76nF/8W3dA /NeOgPjXZubvL4Ce2gQvPaMLBXQ60Etn9NoJPQ+xp73C5GWcbAJ1jaCOyKuH yZCXBfqymD4i7ybTl63oyxlAXy7bNdB3zUFfqU3fWZu+SlFyGBXcoWqbvmuJ IXE1sV5cOFAvivcGUcnViNT3q8ThHZVi73sVYseWstArTy12XczMDb8fh/Ez ezbImCfJ04k8TrmdHAcp8nkjJlPJWXTb1DzLMfx/NOG6FxB2b5anXugEHg2K 0FlgAu8aAFQzz5g/LVZeIUv4WWbNNeHLaMPTYx0YKmMCNXm5teMy+yeikvjD 0BWLRHRa7i2GoVzop242COsHef0fgsb9sH2KyA9Ao0Xk+5LIbiISObnrPZ/4 072A+GMvaGwHjU2gMRhw3XNnhDjKKdRPiPTMbmJSWQSVMJODYkZ6C7BsFpkn CcsGhSaCYlqdh7jUnrfJzAaZ2YrMnAgyS0XuMUlmHpsiE3aKySxTZJY7yKxi Mi8n1oLIOnGdyTTQoTWQlOuRlIPi5K4acXRHldi/7SY6szeYzpefWuy2BGN0 ONElyFFwLvERkBaYHiYT9IWHWeTEX4qL2ySnRKZHTgbu4/k86sIfBpRWYaZz hXRZJ5FXOneMh7Kxl5jky7eZQ57TIos5Nb1FQfV0VNBGSdDmOkBDTXoPvdJ+ gNO/B8fev58u9SXW7jpYowhIvPVavO300cas4t/vB8Sf+sBaD1hrA2uNQ3I2 w+W/3HoWckPNUZKzzC5pxFlGh8jIaAdbbTDTg5tW7XEHZuEImIUImGVHwGpm LdvBWo5kjfqu1OvIPVaqE2Pa06IApBURYUcdhCWBsCM3bcIuHa4RVw/ViuuH QNihEOKfIa4kNopzHxrIvoi/u+uQfWvEwe23xO6tFP+YMvOdl95z22R8GJSF SZO08XksnuvDU31iGbAxDBxfeaKMLiojruga4+5NvKo3s2WCrfJ5YxxT6Bg1 edU4xTe+dFxy1SKnysi/no0Kly90FXC1Aq7bBBcO895qGPqj9yRcRj9oAl8e CmPao4PgUsGMt639iHb+TQRgnyjAKLWafxG4Rim4MgBXBsCS1gmwFFwZBFeb hGucyEwnuJoi4lgW4lhWWp0DMILrlg1YThgwDma5ZMfKRB4CWl5yKQezfJhE rXQAahWMGqdYoHYZqF07XCtKLdQOGUCvUZQcaBBF+wyk2hBSbR1SbTVSbSUw I9zKCTnz7Ze2uS0PFbXg8xBttFWeTLtmL+/2gNpPrgLmiGlb6XRhP0804wsc 7G4xU0nV4mj72vZua0V5mjWzXl6yrriiTULWWQC2OAH0D5Etbc5QDd5DJdC/ mgekjf7tKlsCqv59zJqdMe9+MKCOA2jWNtM2bB8DtjuAresvAlq8UnBGVrfI BGSZFmiZHXjc7hGZGW0o6zKRMDORMDORMAGbh0hDUCPWsqxA5mAt28FazgDW ctnKENTyjiGoATUPGCtFUCtKJsrKxOmjTsrQdz1yC4RViaug7DpRdjiI+xAM lB1uRIHXKIr3N4jcDwykzRDSZh3SZjXSppO0CjfKLn4TZapvwV1Tj/giL2BR Zs0lsinzEHge9b/UF767mU3jZSrRyUDPl9cqplXMOzdI1CoTxlCY0/g8uMVZ 67owZ9ERezJ0DYiZ6BbcAWL9S8PDbv07ZNfAEc4Ysb7BiNGWbElUSSrExJ8f BsS/ozD70233bum7I8Mrjm/BD+GV1aUQ6wQ/mR1oXRBGgMFMtC4A056UsSxd xrIsMjuWhRnLdjCWw4xVKsYqwFY5PguUMWDaj0FYGQJZGUEmCmGEWXFyGLNz wKwkqVJcSrolrhypEteP1Iiyw3WwIFCrB2YNCG6N4vKhZnH2QKMo2IsAu9tA 7gwhd9Yid1YBL0LtpsKtynVTBTfW5OtieR/Jz2CfW8a4/Yp2Y/yCNgY1+wAT B7YtVIkBNy+TNsZa9JIG8dhuy7WQOaB1gbBqENa+XiZTc52fhzk4eP10KLKm I3jR+QEia1l4eI2D184BdDnIuruH6aJ9yfFZnxz1S7x08yPUYX8WQKv/L4JV rIVVtsIqy4HVjyRWmW0WWipyNYsstiaJ1UkrdIXRklhVM1o5bIPQ4vCVR3aM DGRRECtIxk1Rcpn2Q0XWDSarBGRdBFmXk6rEtaRqUQqybhwBWUdCeAyyjoCs I00IYs3i/MFmUbQfx7WnAanSQKoMIlXWEE2wW0SX8fzTu3Ff50rXhah06U66 NA5sHjm0y2iJL/PUmQhOiP0884j+dsQwmzCLLopjtP46EWbFMkWZPMn0i6h0 PU4bXnDc6kuIHLzl+n6HHFJzpkiiq+8DJoxmgB/j7X+T/UQZMWZ+TJbkp1Qp /scXAfHn+67DGiNkTF6NP0Zk5oCxbMVYVieMMmPHYMgyWgFXi4co00bjVoWv k0YEZ9lhzqiuT61C8g1zdlPkHpec5dHJBoBGAQyoATNRACsEXgBNnIIRameS JWoXjt4EZpXiKlC7DtRuJAG1JKCWBNSSDDzXAGsCbi3iQmKzKP6wSeTsbRRp uxqQL+uRL+uQL23ccGgIaYADuNkt4rbjlxt2z1jYZQcs9CiTKuxod3okVLDH BvrEV3kB2T+4xz0FlUY9FPSQW5383dmolvuOZ/x4UxCFX8d6iWAb787Xtg4f Bw6/p/qepqPv6YvK5iOhUrDZRsO81okFa5j3PRX9LD730MAO4p/mJT5pZ2pp tGf7fbqhGOgN8wk2//vnfwkueS8XD2GJ/kFmTpfIApxZADMLYGZlkrXD2kRW BjqfWRmtYBhchoNfugp+ADMbYGYDzGwFZg7AzEmtkVzG4vYWc5mruMxLqaCy DQnWyzEwH2AWwAqP3aDwh5vi5BvaM+KcgvJi8k1x5WiluH60CiBWi3IHlGWA sjSpEVA2Iza2oLfaKs4gBubtaxLpexrFsZ0NyK71yK51gJDArFZxsFLdB90W Co7Oo1c8JB7DTMoSj886SCIllR5CEk9/RWDmBzjr3tviH6W4tJG8u0naHVqB /vYgJDsjsaQtyWgkxKSBEU7BePT4iOAcE0r/mc6TkPgcxAoF56YBgIbTs733 R5hNFT/jZPw8GhE/xf/x5V+CT7lMTazIyu0RWYidWYQoY9oJeAApAkBWlkKU zSRKw7HTa2OaTYieNDzEqBavCK21KIVVqzRN8Sr3eKX2C5EnMVVWLvLZbExF EexU8g0ClWKnOK9QvQxUryZXilKgeuMoUD1ai/s64BqJ6vWkVnEFdi6xVRR8 iEp1b5M4vqsR6dpAug5RvHTgaqVuPN4aGnb8lHOAheBLBQEtrUPIQVQSGxsm NhxD8X9fcTYHsuKvyQoCdLU2R9UtVOH3q9NzVEmy0bL5RC/NqUU6Dy4cw/1p 3lJHbsTlzq88OcvQKot34TjWplye3Xhq4Jm10Pt/pYfSn9ONjvnyzEb/SnVm Y6MqB7ZGlATWrjYeteeZItqimnY0Acy0XWmSXQ58u1oz3vkc/RNZeWA5Dyzn dhHDOV2U4LNVyGVzsJzZKnnOaNEYaOCb3ugJg+wTOQxy3SCQcxFvc1EL5B0n u+nhgOsFvxXMcQGskMqComPl2rOi+Fg5Y3w2uVyUJJczxleB8XVgfCO5SlQk 14gKYFx+NAiU60XZUQMGjI8C46Ot4trRNlGCqFt0oEVk72sWJ/Y0iaSdjSgF DJQCFsq1CucqhTT+3mq4LkoaFWVayXeBj3h2huCR0yx+XYDu9z2elrVF9rdp uGezzTSNA4HnJ4xL8+S+CqdneI3zuD87x2ecgRXP9hlFsIJZPiN/ps/IheW8 6zOyYBmwk7C0Gb54wjbWnuESZz+Swfl7g1De/SM9lAmUP52lTtJZKG9wBGiJ s9smTWq/LiLZK+dVkcno7CGeqZt+JLwJr9vOjd9I9WjncyIrXxGd10VUqyjN ETq7g0IwRWiimsmmQiKzFf7IzgArKCSy05u0MNccm0PAOuRAu9ZCm2IzygmU DMBbog1LAd4AG30nMP5TcF0BrCvEKRiBfRp2Do8vHqtgsK8fqxRlybdEOcC+ SWAn1+ExwE4G2MkNsEZRmgywkwF2cpu4eKRNFCNG5+5vESc/aBbJu5rEgR2N KCcMQDwQ7mp5vzU4XK7V3gP3EaJHM9gisrbgTvyvcmywNa4qBlINnvEXbj3m RzR+SYH6R0Z5gs/eZOo67BrsKuzKPLmjzBlAfQH3bmAXEtizJNjZsKyZYbBP zPAZx9/xGcmwpLd9xpFf+ozDv/RxjOYKI9aGneP8qHBUt4BXlchToQ8AfPZP dOOL2Y5TNIEI6AdvPBXespLB51L5AcVtoA7weTJh2L5V6B5jPSeyCnqiQQ5D yM4G4NltVJG0EdiI3NmI3NmZFLWzM5rpOZQhQFzkpDdQV43iNxBHOT0Q8lzE byAOwKsk5CqG56eQ3ZSM65Jx2Ckuo4uPVWh/Jc6A8RLYJcV5KTi/cewW+HZy HmLObzDnTTbn18H55aQ2ceZQm8g/0Coy9raIlN3NInFnk/hgWyOYtlgP8rAB 9elqZJ+O6hFuMLcZm1GBh84/yQwQ9Ww296qPZ42ZWsH8Swk7V9OMu0SezCt+ U0DTr2+hm3VzgdpeCcbsJzD76F6Bfu2HvO/eZdhZcE9BvSQK+wUD2M+EpcuA bqTCUmaE2T8MS4QdggYOvUVzRayIHzugoBmA/hOhvUA/56e68Wt89R9RhP8R vcF7a2BrfXKnVue+awcH4e+RNcwD7h3yhMeweb4193w5pcgG82z53WA4rwsd xGxgn53bKbKBvLR2kZ3dJrKzyBDXAT1elpPZAmsWORkwYJ8jsSfoYfUSfB23 QQt8juo12uuAvVqBX2VH+HxYQQrZTWLfSb4ohp2GnYNdwP9fTrnJB1+G11eA /MpjVTCQf6wOFhLlxwwoAuQfa4K1MPmlx9pQ6nSI80faRdFBZKj9rSJ1T4s4 8n6z2L+9CeWLRX+9Rb+K9HVSEVuNkYE/RnwM8F3hVwJwBvwooZ4LGOQ6oG8a 6+TkthBNcLMmuQX8RiXEULEgQghGqZUEIIJzEIG1rZhTCKcHJIG8AULgJDCD k0DowgxerNoTOk835/jmbbpGL/FNn1XSS/i50o8LK0JuUe0o80P7f6yH8qCG vyU1IAn8ERXO10cH7F08UBHhLafsXQiT5YTyB/JCBho4hh6+nRTE0tW5Tino LIXRkEGHqwxyskxYK/hvpTCf2UwjcqyDxrAO0h06iLN1kMtGCaCGdOAhEUBN JIN8SwZKCoVAvQh2ivJBccpN7cfiDBRwHk9dhF1JqWQV3MBLb6ZABSnVsBo8 hgpSoIIUA9aIx82wFpgJaxPXUzrEhaMdovhQu8g90CZO7kVb7m4VB3Y2i93b mkC7UwkhzgF1nAMoL9Rzi7k1c3QpPMr7sX+s7H7mYDlY9Y+SAivBQyrQZcVD 252aDdLgbYMqCrN+XVgMdbBaiOGmlRHmO4Qwj/bR88pqSJX5qhqi1Vk9oWsz dS2eF2u9ArvsuL/0Li/kqnlopW4tlhd2pUXbzyuDEjSvlEJo/2TYJLm6LK81 GB9WwfdsFSglhA749VDhT/VQ3S90uVE7aP/6UHgXb2EpYW8UJRzl/Xo5J1C/ 4EHYPFQXeWgTELezvUoN77j815sqYy9dY6mhG4ZskN9FgoBRtQ9RAOqcdhrt yyYtOPXQovSAwJ9h5YRGei6dSn7oQZX8IZELQeSmWYKg5JCH5OC1k0M+2fFb OslB+xnEUAkxVEIMldBCJfLBTXEWVoLHl2BXlRoqoIRbKVUwUkMt7utgIVEF NVRBDVXHm2EtMFPcPN4uSlM78P5OceZIpyhI7BCZ+9tEygdo5l2tYu/2FsT9 ZhgposGqjlgRQVYEKaSBW82tqd0UobZDoM3MB8vigZKFqyRkWpApgeexeGi+ M28D7WFdeKUi1qn0QFP6amkXDLMGwigPCyJUOiMmdIPAL5up81K1HtIBEIYQ LBkAebr1OmVAIvBQLvCQCDQlgbfZpAw8of0TdZ+EfzD3NDE60a8bZ170GQ2v IupvA/O7/bxteVT2B+9GKonXzQfcywXw9rZGI+RdRn/E5lM9YtmaHJFT2C1y Csi6RE5+F6jN68RNLvVuATysTSKfjSoIvNNbrSqIKyEQn8HR3wl87kmCPRL4 PBv40Qx8vgK+gOz4LU4BhbCi40w81f64fRbxvxJVUCWqoEpUQZWI5beY+psg vup4lag9Xg2rFXWpQVgIZsAaRTC1GdaKx6aoTG0XZSc6xJXULnEuuUsUHUat d6BDpO5tF0m728T+na3i/W2tA8ln6kM29cbIqUcr9mXIrdrJAL+HyNd8nA4e WGM98ly2+JUa2/lKjuXQeUIPzR300AxXD8215tnUEv04WR1Z+K/jhEDrB3vU 1j03ae+Id2NoTWZCn9fl9YTR9zrRJ/MQ9wj4RP7Fd+VGDWQXOBkMpt/WwC91 koBlj/DVUmEp8K+DGUk/Q/6BDJpegww2A//tYSk8hCwe7hggBbfuwRGug5JQ cz34dgFfToZFLV/cExZBEQRQ2GWJQGkgr4PCPcqhATrQbCFkOYSQ6RBCLoTg hQjCQshLC4J9mi9LMtBJBoCfRFCNvyAB7RcsgiJlp2DFEMJp2BnYedhFPHcV Vnq8itu1EvDXQDwGPstIrYUFYSHRcMKANYrGE82wVhE6YYqqtHZxI61TXE3r QvroEsVJXSI3sUuk7+8QyR90iIO72sSeHabY8Z4lgoiiiIVguFVAJdEqIA+B jx6B2ojewl/GfRf2wT2NoHvozKTHmu1Du6HI+d2ahT+H//V+Pbzpide56YFR OtMrd5zlNZIJfOLeDvvgm1anvzZzYOQfzD53AKKw75GRH+hDAPvHA/wJtgDG yCu6aIov/TpqGrTfQ4rVRvLzqMVe8hnm69AAfl1UHbw/IB246MAruwbfUgfT rERwukdqAbYsYGvBQ2Ig/vM7SQnSpBaI/5w2GqDPViUQm9RCLlujyIUWctPJ lB7iRR70kMdaYD2QHKAGKzHk0wnVAuodkBp0UQiyi0D4qeNVlAqO39J+AiXc EmdhJbDL+L9rsDJLDVBTHawJHY0WfHILvqElrV60phmwRlizaE5rFfVpbaLm ZLuoONkprqd3iYtp3eLMsW6Rf6RLZB7oEsf3dYrDezrE3p3tYse2toGKkErg lEApopFb0W2kOaowEBnupAfEXRilhv6MgCyN4mx5fGKVRVIeOp9ZiucrHWjC b5sy2jOoVU4u1zhDeO0Nnzxydy+5mHzpTN4chNcTv+lYU36ej5VROnOIeohU IWshlQ00Loa0cJfAzgQ6qcFDYvCQGjTWAl/qY/cOdFqvj4WhfZ+rpCa5CKyR 8rwveNYfY5hjfea/QxZ/3jhAGh+GKyXuL38QRRqHqK98xM/SGLApoJs+ZkTX h1wBEAI40wvrsXUCjZAAirqo3qd8UdBJItGshJGbiy5mDlmbNE4YuUgYyAgQ iRRIE4nEQyqBMKARkYeuMxuJ5KQtEo2zBp3dOlELq4E42Fgq2ktSJcpOwYph p2Fn0Lc+h/uLsCuw67AbqdWslCqoJMQqqREdUErHySCsHtYAaxSdJ5tFa3qr MNLbRG16u6hM7xRlGV3icnqPOJvaIwqSu0XW4W5x4sMukfRBl/hwV4fYtcOp FtWF4PzRwIppdGv96BLRxW3IQ8lEk6lkNEklIo0onZjt6+SclnbrdCzdWmv6 8bxnyIWv5I4duCXaLZkxNN3eqdyjtiZXy7B75GrrzjopMlmoRKFGizQeLtLD 2UFulbF/rE7C0KQ8jINT0VfgFU0bA3SRByTglEOwZJIWuvWGbrRBDn/Cj/hv m/zm/05y2Oq3O84RmWK3iyTCHQgvSYJzhNtw3hAamKJyRO65XpF7tkfknlFW 3C2Wr80Bv5AB/hulUy5kkFvQIXLzYcgVkIFO/BP1SBPgX1mLhyRAT0MEecgS bJQl8rhqykuPEAASQxqNxOSn1YqCE2Q1mkcqoBAK8EaQD/MA/SqkihL8eQl2 FbCXwiz4awC+AfDNk7WiJ70OFhK9+MpeaLAX+aorvVmYGa2iMaNN1GV2iFuZ neJGZre4mtkjzqf1oD+OMJDUI04mdovk/d3i4J4usWdnp9ixvWOgAChJbG10 K5rORy+aetORDgA+woIjQ4h7En2zYx3PNQDSnVQIdYJrmpBPwG/yW7v/0fZO C6ylCyzgrU3Yy2ba9ZLmiaSeSia534RlcicCr70TQalcdN5DK9CrteivwC7P kXZpNn3mxdn0lgu0TDnswkw23bjwLj19cJLPODgZNoWNtRDn0IKlg9ClaXrw gtRBqO5N3ehe6DN6FiI9QAN/pk402P8aFdLXBxypwU0LByLSg06C+DZaUKsG i9zzvVIP53oorp/p0R6z9CByT3WRJNwFkYeckKtyQo5JquC0AO6zmpE38pAX 8kgSmbYkNKmJ2LAmYPmoa0gSEAELoyBCGIUkjCII4xcQRbUjHVRxOrgAu4zn ryOLlMFupNawKuqgiEZ8UDsU0QvrywjB6mENog8H1YODa8tsFU2ZbSIEVVRl dYryrG5xLatHXMjoFcUnekXesR6RfrhHpBzoEYf3dot9u7rEzh1OZaB7sZWL KUoJW5tGpAydlOHIC3esvMBKAP+dUAYemV2sji6enrPRHye3t6u1dqu1NjWW +6Q4dk6Mk8IIb1/O5VJ4B6YK3k9tgDxYHZwhPLwPw2jekYF2Z7CUcUUp4/Js Vgdrw0PawAGwMt5lo+fepecOTlTymEzPQSD03FSfkTjNx5u86mGpcAXFMima qIVuTNcHSsXoWeQzehf7zD9Tytg1IG04zzw4x1sPUAV1kHvZiWrolVbn+haK mSQjWm5Jr4fVMkrkIYfkIX/kne4WK6CXPOglr4isU+QVos+dV9ChPS7yIJc8 yCUPcsnLITNFXjZZK8RC1kKiGSyZjEjJ5CO255NkUOAUpAVZLJZkCk+QkWSK Umu0F6GWGqilmu0MW5U4j/uLsKv4P1YMckc5rCpNqqYFSumC3c0Ioh4JoR4x YA0I1E2iF8fXgWNtyWoT9Vkdoia7S1Rkd4vrOb3iUlavOJPeiyzWKzKP9orU Qz3iyIc94sM9PWLXzm6xY0eXUk27pRoSTPMIBdNDqYRUE2upxuwikayTIvEq 4UAq9uIPvOaIFmtvI6uqd9bPoG3BpVnV1A0lH7XVqBKOpsv1wqRp4eJKbmDD iaWMRVTKiyVa+rE1NDCzsHhYLbiZQfljIt1MZqFQTiGxTKULyUkuo0MlU/XB OnlTDwXfUjrhDU96FtMKQr1LYEuhl72OtKJKrIdWWtlH+tjPve8PHdnloF// 9hLJK+lFdzrvPJRxrmeASrJFXnGXUgqppMNWSX67VElem1IKFJLTOkyV5Kcb dFOPNHKSZo0WsEbqbCtkqxVF3DkvglJeUhqpQUapYY2chZXg8WXYVeji+gmp kQpYTVota8SkGgv66Ic+RFZIfJpl4L5RfJTVJO5kt4guHG0rNN6Q0yHqcrpE ZU63KMvtFZdzb4tzmbdFUVqvyE7pFWlJveJoYq84sK9H7NndI3bs7BmgkzbS ietMjaga0VgkohvWw/mkh3MMNGN2I5V0y1TChRaNulLJRYsF8OIUVmZRa0TJ XXTl/rs3ZnnDe7Bae3Pqcs82uZsnnZlQOURzdjOsAotMk1VWvFMDpADjApms rCiLzGD0J/hk7pjIeQNyGMNySCQ5TOfcETo/Fd2UabYc6ALy0A2kjCrIIfQW uiXdi2jpqe7FUMUSaVCD0bvMZ9xe5pNnKyw1yGV16WzcXprE6lxFXslCpgy3 7V2H0IPc2OVRkXcR9cSFXhLGAFl0u8uiqEOTunhC6aJtRLrIJ8sga2BpUJJA AilAAiF5kEiCJBJbGHUAk4wFIk5xIik+gdrrDB7+XJyDAi7CLp9QysALb8Bu wupO1rEy2qGKXqjiI1ZFvfgi2xCf5jSKj3OaxN2cFtGNY27D8TfmdohgXpeo yusWN/J6xdW8O6Ik5444lXFH5KbeFunJt0XK4V5x6ECv2PdBr9j5fi+UMUgd w1aGmozKquhyGCtEznvuJkl00SCs2lIsvIYQbSbL680GF8kdyZXptJmpFhfO LGrPQ5VNPLyxbRxnkSq126ljx1NWUFx49CrOVtANZZxI5so6zMPyiZdJZI5K IrMdAprFBdcMEsmFdyCa8b6wgFT/JFGKJ7jrtZjg7rExlnA8pBotjnVTLXVj dOGXkmi6aX9nqEZ71NZN73JoZ4UvYuzqodp9we6kSO2Qlj70fxvRyM2y4kXe 5d5owiFxnOnWRosV6wYJh3IKSQcG4eS30Wvz2ujzLOHY4pHCyc+iAj4/s4lu GmlsCr0EiAZyIaOUkh7C01COKERaYUur00ky2iviFDRQTAbhnIY2oBhxFlZC msHzl2FXYaWsmTpx62SdCKVLzXRCL3eo0oJePodefp1riC/yGoXIaxIf5bWI O3mm6MpvE63odDUUdIm6gh5RWdArygruiIvQzZmsOzisOyIr5Y5ITbojkhJv iwP7byOjQDc7HbrZxroZmWZ0kgl+d9fJAF1ub/as56UedNIMCcK52Ja9IWOQ FhCEVqAiWjg6tJiNNLWINm5cRMtm8pbQC+y9Pbny4jxDYiFxyP1g1Xbvaktg 3vrZEowncjzLQ1IB/Fa2cfZYONPALs7xBQsmxUiBjGWBcLEFuhMn+4K7X4Eu Xo0J7oU+9r0ew0mFaqurSCrl4aRidOEHdS3hdUCXkCZ7oIyeZWF19K7w0cKO tJg5FIDcosXJWmuwQlgbblOPh9CG3D8QiF69LfKhj/xLsIvokOSX9OAGvRJd 5J/tFvlnukgbxH4xDWnlnXLVhpQGehe5psiHLNggjfwsmgRCwoiHJppJHJxT CsigjoIMVgclkvR6Ti6QBhknl6KTQQ+Lwwtx1EEc0k6n1SKfpNVqL4hz0EIJ zNLHNfx3KawcVo0Ky0gPsj66oY0+aOMBtPF5jiF+k2eIvyloFF8WNItPC1vE x4WmuFvUJrrx09rQ8Wos6hF1p3pFRdEdcbnorjiXexd55a7IOXEXeeWOOHb4 DvLKHbF37x3kldsDNTIieXhYHjrLg66kuc0js708WksrooSAbogX3wyqPUut 9ZgogyzySUWQOGKN0BIplfol0kJMWHAxv2WRz944u3aBXGRRbYtaLgWjcbaJ s2qzeeE+vzUcpjZXt7ot4TEADw0B8LkTXaqJui3f5+xjZSL8X/D0pJjgKdiu 52G/gFLIXooJfvByTHA/lHMAqjkoVRNMHBdD1/qyaqyU0kmqWeyTotFt0fTw grq9tMMsL0NJSzlDOM6SjISjyjLdfLAvPE9khMKRG7E+LvKv3ZbiudIrBYQE k3+hh/Qj8pFgICFbQCuRXPKRXPKLO0X+KTolkl9E6xfkF7aLfAgon5NLPiso 36kgVpGloFhRgCRTAAUVWArKpB4LNARhUo4pRGkmLSSKyE6GlIhO0Rn2Yro5 Azm9IM5CK1I7deIS7AqMtFOGnHITuqlLD4rGjBBrpxe6uQfd3IduPs8l3TSI vz/VKP72VLP4qrhVfFpsik+K20VfcYfoOd0l2k73iIbTvaKq+I64VnxXnC/s E8U5fciEfSLzeB/yy13kl7vIL3fE7j0R+nFL8G66eUZl9k5I5s5Gv23q+nK6 XojyBicTSzNxEZqxcgpEohv1S+m/Q0tZL6QWfglpxRoks8RSjh5MNeC3xWKd S6yaL8+ZKIsj9Xjt7eh1uTl1xTz5iJ/Tnqb/Dp6BGj74GewF5IwXYVDDfqjh IHLIodekEpLG4jHUUDFYCSQEoxtH3r3MloJcjZVWl4YW8MNoP4ymJWxyFFim EI/5YO/Ac4FDVFhvR80ij4uC67dFwdVeUQAxFEAMBcgmBRd7RAHEUMBi6I4U w+mBYogPi6GgjQRBcoCZoiCX5tUW5LSSANAxZhFYlknXERXQGUPSgpfzSSGZ VIOXZAD6SQLFJ+vQVT8NyM8oOws7D7tAIgD4V2HXT0oR3IIAQhkh0ZxpicAQ /TlSBL/KbxB/W9Qo/uF0o/j9mWbxd2daxV+fNcXnZ9vF/XMdov9cl+iB/JvP 9oqas3dE2Zm7oqS4T5zO78NR94nstD5x8lgfkkifSDzQhyTSJ97fdRdCuENC cHVCdBXEig6owLqc+K5UAm1gzIvkcqfcksCjYQlYMlgsmSf2DZADJci8sVhK JLhQLXxKi6I6Ki3WQYICP96qs+b5ZNLgznvlPLkHt0wSVhbBMdDtKBYMKUkt d8nVHw40uA+ZYd/PYzzB/S/GaI8FD0IKh1+VMjgKGRyBJY2PYRnUkwwW+axS yikFD6eEWGuBWGdSoG18KXnYOwM+2KP65G4X2A4Bv8wEo0VB6W0pgGu9UgRO AVxgERCk57q1x0TBQAEgZuaf6iAJiAIIoKCArE0UQAAFeWQsAJt/dH8jNdBE RRPxX5iJHjrQpzN/gL8IaaBIpgHwj27HK6IYSBejy3EadoYNEoCdg5XALsAu kwzwuuuwG7BqSMBA7dSaVS9lkK1kkNcgvkD99HfFjeIPZ5rEfz7fLP5wvlX8 tqRN/LqkXfyqpFOIki5xBwGgDV2u0Pk7ouLcXXHpXL84e6pfFOX1i5zMfpGe 2i+OH+1HPugXH+7vQz5gKbgm5egS8IrfFQWsq5JJBrz0uMdKAwu4fiK6ZJdc e9yom6+IWyDjPOmB04HSQQO4MRBNDaqj6PlFco1LeyFgtUhwjdpT3jp74g3n BN2ZE/By3I6RnQ+eisivo6TypIU+H2Q9JHAAEvjw5yiGUBwdRDo4/LLi//UY TgVJ42KCx8bHBFMnxhgdOLBOhrqLetndtHAt5wK1WK2tALU7Dw6r0Uk/l0Bu KyEMAf5YmSpEwQ10GssU/Nd7HRmgxwk/MkA34S8KznaJVeuzRAHgLwD8BYC/ APAXEPxFNvweol8bJdnPayX+Cf8w/NkMv4fpj+VCqNC2BlGUSd2JogglQABk SAJQwsviNP48A7rJzkIJpIDzeFwCuwi7DJMqCIkKKKAWCmjIrIcKDKkCKKAP lZBAIvgSieC3p5vEP51rFv92oVn868VW8YeLbeJ3FzvEby51ik8vdol+NEYH 6kPjwh1RWXJXXC3pF+fO3hOniu6JvJx7IjP9nkg9fk8cTbqHhHAPCaFf7Nrd 5yaCcy7PWev0/D1EQJcz99Ol+Wp3I154H5DXS/OQGrgoog4BhV1LCAutSUh0 Cu1RowHgG4vU4q6OJYitJFAbCT6Fckn8k4R3rBzYDcugSukjvLw7OgeOsM/s 03E2LPAFD4L/g+A/EfwfflGVQCiHjrwm4/8x8J86ISaUOU03OiDOziUy/nct 5fjvIf5R9gxYJJwV0LjYpwQQUfaMMPK/zrdjRGHFHVEIERRCBIXIAoUQQSFE UGiJ4JJTCN2UBOiiOtYAEkHBaRcNFLZ7SAQEdn7bQA1wIdTiIQkg2HPwL8yy 8SfsUQXFkgRIAGynyNJpomoxZwHJftjOgvNziv0LsEt47jLsKqwMVgn268C+ gV5AS7bkvwf89yMDiMJG9ADA/9lm8U8lzeKPl1rEn660iv9ypU3809UO8dsr neKLK13iY7RFD7Ji86U7oubiXVF2sV+UXLgnik/fQ7l3T2Rl3RNpafdE8rF7 4tDhe2L//nvIBPdcs4CbADgLeMTvTwVA9cPVcPNC2+ROTLpTCDInyA6CNepE EwV5TeTmgNo8V1mjXK+brp0wjMVyJwsSU8gSREJk5yAMOtX5VXa8l5UQp4N5 bNpolQicO2poz0SoYoAyjEaljkSo49AvVFZAt/kI1HEY6qAK6Tiqo4xpeigb Xee8N/QIdfAq5jI5qP1nuldSbuqW0pCGXgJNRHzm22giXmqinHQBPZT1Sk1c Y13QNIzLPdqjopA10U2aQHLoIlmIVRuGFIUWTRWF3D0ozGlBH7gwp/n/Y+3M A9uqrn2tSHYSBJ1uW1p6e1U60fb2tndqS29pS5nKWGYwECBhaukMdIAyEzJ5 kCzJsizLkuXZko8nHc2j5WnFmQcSQkjDHEIYSunte3+/39p7H0l2nEDS98c6 sR3HseXvW2vtffbZm+pRHepXc4wKNxpWj7AWI9INi3CjUXrBTjw5JDqjoXle NCOcCBfCjfAoJ9oQ7agHwafYiyEaWM1eaDS2RnmxdphK6IrmUBN2oCvah5rw omecXvdG6S/+KB3xx+gVf4Kea0/SjvY0zfoylEO+iLblKewtUKd3gjytJXK4 JvEaTNLT6ybp8acm6U+PTtLvHpyk394/uWiqOqYTIG6uzkrPN9bJ5R+8FYyZ rcDvfFg5MnyUGEuNKVm5laTal36AYeU0f4pcJnWxNdJxrjhWODx4/hLhhPJB gGxWq0l4askoEMvKBUKNmKvuaFQ5YKl2AF+IJ78+wZ1R+YwPUSU+tUS48MBZ ygOMFLhKYLQQfhCd0sMYMD9xtiXyFDxYg9hwjkVsLMznSaS4SvC26hZ5ksm1 IkxCBzNboFapqyNqF3Xh3GO78A1x/Sdq6M5TA3xogA8N8KEBPjTAhwb40CDq RIaNoHrUiXpPmurdHCmqL/uQZB/MLAQPbhulDvUc9eiT6mEEqF+vU/06DmED Ypx9YCl4qR0L0QAZEFwgyjo0ilLRCB2aOJ6UYX+SS4XjySEzNT8Z4RlW8O5G eBCtCC/Ch/ALD4aoezV7oJH2dJUH60ZoErVhrmmUdqI27ENteLE1Sod9UXq3 Q6d3AzE6FEjQgUCSdnekac6foSJel0R7njRfkbp9E+RrK1Fz6xQ1OKdoTcMU PbF2ih5+Yop+/9AU/eb+qQ+qgWxtl2qbb7LSgaY6DmOPLW2MZRjlW3BsxEel CVX9ElwQh2X1X2gp90DGzQqBuZwIEgm9i+c8Qz8W/c7FCy2QsBsLDI32X5UD NUrAoMT4i9qyD+YFPgwa08CqeA3JwMf41JuPVWrEp4UbsnP6KrxQNeJB1IhH /h1efMfC3ZOoEeu/Z4k0YDRt/75FnTdQPjuqVkvCjtS1Kq4TBUIeG7/YkOE4 RvybuC6nht58xYpQrmJFhzADaPoyaKwaIEWDIUWLkgKF4gZIUd+cpHqIUW9P UD0KRX1jwsxKYCQOKdgJGVVWNHDAioY146JWoHlq4A4KSigjGtmIJh5CQwaT lexQwmHEk0NwYUiY4GIbQL0H4X0KkvieGjKdSX68G1zNMmjUDxGG0CCNrR2W gwUUhKnGUdrsGKNdGCbvR0F4GU3SG34pwt+6YvRGKEEvdqZobzBNWwIZmsRL ku7I06i/SH3+CfL7S+Rqn6JGzxSts0/Rk+uUDA9ChvumF/tlNB9Thho6YK+j P9vrxDacad4SkW/EWbUxPjv3isqfqjqIg8Ej6mDeQXUoPZg2uiAxNKic16Sm RyuzQLL3qS3P+PSqgA8mY6jcXTVUXlpumE5ZMILoNY4gq1XFxRiJDIi/GCzP 90aEdFUnQrEZZlbD9JHwfWdIMVA4wr/H8Pr3KBwPQo5HvqnEQNFYzc0Toh5i NH3fEmn+QZUcFtYCb13Lwwhec2+UCQtfF8tMxzHj6+L6KWroL0g7ehBdi9qB upFhQagBdUMoAj0aWlLUAD0aoMeNt66mBujRAD0aKnqYpB8YF8CPhg0q4EfD Op07onW8hYf0Y6wSXDaeHlWlgxVZPYIv0YSWqukpjmEREAVfApqYvkrNkMUJ EzgMSVqFKBo80agdb3fAkCCiC5b0w5LImmEaWydNyaFtmm4ao81om3a7x2k/ 2qaXUTIOo2S80wlTeuP0Tl+CXu1N0f6eNO3ozhB1ZymHZKKHijTYOUGdwRJ5 AmzKNEyZhinTMGUGpswsVsSPbYlFGJKVNxQwAoArGB2oHe6EIojI8MX87ILG Z3XyMeanCk/EgYp8yOKFloWSlCeN+oxJUFUFOmRxAPzdXADmGWApI185GK1C O5/Ccqn8TxTw5iratdHLrPJu2pfEkIEH1KIcPPwN0P4tSfvTKAVruUVCKWgE 8Q4Q7/qBRR3BVVM+9Y2rAUJAX3PSrH+EGgfy1NiHAO+NqAaNYL2xE3wHs5Ue yV/Nelqy7uH980A7cphg3cmsJzjw4Sa+pdbQGKcG9EdAnT91A2/O1LBBV7jz UAFXM9New5jjbxsBeePqUcF3DfNtBtQoBGDazEibvgKgNXIhWhAeBAPdBoh9 CD8igOgE0N1rGOphimAcMLpuRECdR+qfQerf6hqn3Z6ogPrFdp1eR+p/C6n/ vf44vRdJ0OFwig4OpmnPQIY29+eo1J+nZG+RhnsnqKd7knyhKXJ0AGrnDD25 doYeflxAvWhrerzcf9BRZ9wmiwwhmfMbim5t/Cfi3GumWrw9LtaAjvEiDFkA LhKhTg49JdKnzk/uvsAS6UKEzpetiur31dKl+Q/bqdvHp8mFSz1qkFxb6f5r 5p++ZlC+dB7lVQMBiwRdQP7z003hB4yZI6T2h76+JPLof1siT34bkJ+txgGV fkc8od3yQwW6mTk31fA5NTKry6hl0BebiTgO6P8qrp+gpkiBmgYBeL8BO0Dv krA3AvZGwN6I5N4I2BurYW8VsJeT+423CdjNFdJrKqQ3xJh2CftyCfp61fOI GJe5fa3I68jj4vL0qIB9VCZ0GQB/9QiS+ephTuZg2qnCjfAgWhHe1fPZD4L7 EJjvRvSB+wh6/9H1kv2CfYxmkMw3I5nvQv+/D8n8BbQ9rwVjdATJ/N1wgv4+ kqC3R1L0ynCantOytF3L0UwkT9lIkaKDEzTQX6KO7ilyhqZpg3eGnmoA+0/M LraH+WLYG8tZ/+yoiwwD4WE+UVmcIrhMz/KO5Aj+M3ObTYtidAjsIyOXMOLD l6DT0ZDfPxwZurjC/6A6Qbdfsc9niIP9cOcPl4gBQV9lUGA0PlW3vwwNMIju 4qmhbrVKyZDgkuNLULuYBKaqfP9RocHdnzCF7/20KXw/OpzfQYUH/3VJ5JH/ tEQehwpPQYU1yPfrubv5nupuEG6o0HquRZ26yDtmGwLIJkdosNidyeNo8DVx /Sg1aYWyCk3I/U3I/U29OWqCDk2hLDWVVchIFdqlDo1QobE1DVyR+E+lxooJ aHMSMvWjzYEPiHk2LMj9UQ6Z+0XDI5VoXCvy/5oxCzU9zXOp7IFdBjc1uH4N HgzDgWHhgQvRgrc9iGoX2uFAAPwHEV2I3rUj1A8Pwoix+lFZB1ADpp3jtKkl SjtRA5716XSwI0avoAYcRg14ZyhBfxtL0nt6ig5HM3QwmqVnxnK0aSxPEyNF SmgTFAmXKNQ/RZ7uadTJGXraNUOPrZtddEP/Y8uwjGUoH/iQVxLwFuk5sQeq OGLTkENKcaXVLKz4J7aCpRBR1uLHVVpcJJXovtASDv1wSbjnaC14rGzhtRCg vP08sRuBEeb5SySWynVHYj2FWM/XJ26asSQDlxhnw4bL80Sy9b9M3fg7vXrW lINfCh7uh+/6pCl831mySjz0NVSI/7BEnvgvqIF2aM3ZUg2jFWqWrVDE80OL 5r/Qyi/JsnL7c1I6nC51GEKE81KJ/ioduqBDp1SiCSPBJujQBB2aoENTW1op kWIjhA918KERPjQ2ozA0OrgFajR0aORZUwgxr/PXDSWMVqhx3Tj/I5QHmMDB 06JreLlR05pRFoPsIqQWZtYCfRFfoAX+pVsJ4XmaFyN5cT2TfE8Pkx8isBQh yNANEXoRAyzFehSIBilFrnmMplAc5tAYbYcUe9EYHUBxeKknTocGE/QWisO7 epL+nkrRW8kMvZzI0r5EjrbHCzQVLVJ6dIJGtBL1hKfI1z9N9p4ZWuebXeyo nmP78BHhQ3kBhXLBODZAHJCyUrhhOKLpV1m16FXCCxSKkUu5RggxEEOXSDHC 8kR1IYTqk8Jd5y4RUgxAigEphJltWPB8qe+8mqXiCQj5YeHGxSLM0p0udYdt wQySKCKWsiQ1/H/ULDJEEPcBuXB8wtBDqnGZNfzgZ5aE7/oUKseZGA9/AVXj 36Uaq6HGWoyN139XVQ0eJZwjnuHWvOfjW74A4/kLrSetxlfF9VNkHy2SfbhA di1PdnQBduhhhx72PqjRAyUw3DMqxmJ6NHlT1AQ9mo7Ww1T2AyWjEX40Cj8a G3gOtbE+phxRfmyIUuN6YQdXDDgCQ2TFqGE70Cqt4ZvPrIWjKpqfZkWcT8MO N188fPGuEU7AhY41IxSEDyF40IPogwsDG0YpUj9KIw1jcr4IRaLkjhKhYdrW ptMef4z2h2L0AorEqygSb6BIvBNP0d8yKXo3l6FD2SwdyORoVypPFC9SPjpB 0dESDWhTFAhPk7N/hjYET9CJpdKF2ytRlMe51LIQ4kgqM2tg+hgXCFZAxPCl FQkiqjqoyhDu+5Ep3AMBuiBAN6IXEqhqYDJXP/nGa61/VMPPPFwMzMX6bAP9 BWuJLOXbzGrdxTz0+XG9Syr30cLlZbRGiaiSQAjAM6d/PGNJ+NHPYagMAR6C AH/6JtomtE5Po3Vai9ZpA+pDI+qD/RyL5vqRfE61FQK0nW/Vg1fb9K5rqurD YsuAlQQ/OKYEp5Mdmc0+BglGqkRArbAP5CADojdLdohgDxm1AvB3KBl86aNE aIIIN922Gmndyfw3oXVqQuvUZBdONMXRETQ2xtgEGfCgcQOHjuA6AROEBFEh QtM6nkVtWjtmNkzgYgEfyFEOmLBGmIDrV8iF992IFoQH0YrwItoQ7dAhgOiE Dl1cJtaPUh+UGGQtGsZopElqkYEWE+idZlEmtqJ32o0y8Wx3nA6gTLw8nKDX o0l6C2XivXya/l7K0JsTWXoxn6M92TxtThVpIj5BiWiJhkanKAQ1POEZauib NZ2YFzVlL9Se8bUshoXPoZRHAtaExy5doulXW40igfpwmUWMJkwfk12THEiE B84zhXuVD/4fLAn7vr8k3HrOknDLOUvkk54XqYd0eIfKH9WIj/l/rJ6Fs8hn eoI/lk8wWKoNqVq3bWxkIJZk9IoSIdbcVcIi7+sNXiJHGOK2gumMeTfbVBtl KMLTwuH70EL9wbYk/MfPL4n88RsWUSeegiZrUSfqUScav2vRnOdaNTcU8UAR 1Ai9A3qwIqFrbHrPtRiAsSeWk/bkDHLAEwc8cYwihvPkGELAFcdgjhzwxAFP HD2GKxmywxM7iob9mJ4k2RNqciVYFRaFQechd1MTz582VVsiTWE7Nuj8gIKs GNTEwX0VNBGW4O/saK5giRFmlgQ9FF9YkLOOKYgPYvghRQARghjdiN4NShDI MdQEQexSkJQrSkX0UTNenTajZuxAzdjTF6f9kQS9iJrxGmrGEa4ZxTT973SG 3pnJ0quTOXpuIk/b80Wayk5QOl2ikcQU9cbQT0VnFjvH9QTcqFFn3qxSRwCf YhzbqsWusXKER9mVq6yR0csskVGuIWLkzYPuj3LtCPfDkU440gY/nHCj/ntL tCZk28bzrOE131qiOYCW83y5n4b9BzXiQTZ+TsdnbMVRIx7j6VBhOKMqTads qmSbxaVl/vrVanEs5aryvq4IT4wbcX9AOXnwX5aEb/u0KfK7f7NEHlLlZPV/ W7SG71m15h9YNde5LDi+8fOsuv8qmx6AI52ylOi919r0vnmuLPas+3Fc+Yr8 BZEDnYFDhyfjCAwpHSMIrcqXAXYmK52BLw744oAvDuWLvT0tnan2paXsi6gt Va4swzUmfGlqkCGqSr0ubMHnbOCKolwxKgqucGXdmPRFBobhKC//yrLAlUq4 EMIYGOJBtCK8CB9M6Vg3SkGYEoIl3RvGqLd+jPphy2DjGGl2GOMYlw/NocvK w5gpdFlzgRhtQznZPZCgfVoCw+8kvZLEUDybpncmMvTX2Qy9uylLh+Zy9Dzl aedMkWanJihXKlG0OEUDhWkKZBc1xrHIx9Q9BmEMr1mVp49M3G6cTVJaZTN9 Ui+pI9+rj3433odQWpw14lJztSg1sg0zxiGXouW6yBTuOB9l5UdLNDs0gTqA HfKYTtEaQFwTYv05NZoTGrnPlw9Ps0JtUiHTsR26mLsr5U85yuXHvGBw0mvc xVO3B1XtMQmhLCyUela28qiTeHaDh/GfmueU4dXDcOqPtiWR+79uifzhGxbt sW9ZtdXfwU/zP/ipzoFTP8RP8iP4dCV8ukr5hOi5Rvik9yMGr1demf8Br5oT RWqOFag5ioBXzfCqGV41i1oEpwazx/TK0cFupcnuS5F9oVe3wyt3lVem5WjY 4iyXVGueXjo11etslc5VaoOqQvPssnM5glwQai33a83wyyliVIRrLS8PceP6 RWqBQB6EF9GG8CMCECoImUKIbgjVA6H6IVQYJUhzjNOoMyqkSqBHy6EEldpj RJ0x2tIbp50oQXtHknRAT9FL6NEO5dL0Fnq0tylLf9mWpde35enAljzt3lSk jXMT0KtE+swUDU5NmxY7sf7YRtWWjRILYeWpp/IgK4s+eQfMmryTL3fZTB/V S3dJpUqGTteKqqTpiCiUGr8aSl2OUc1PLOHeS0xh/0VLtGZo4pAqmbVG+PRh rUEWJK1BxRoYZT9PfppRnFounGcWe2WWG0Z1iHIUqDwjJ8vRYs2cRd0MNBZi iaIkJhIGRKtnVKeqibGyTBYpkxDJmBfjVVSPfVYUKO2Bb1q1P/6nVXvkv63a kxBpzXetWj0KlOP7Vt17hU3vgEhBiBSCRN1Xy8IkJLrOpkeut+lDkGk5y3SC Hp2lejlnukhOuOSES0645BzPk3MUIXzKUTNcaoZLzXCpGS41w6VmdqnT8ClN DrjkYJfaEHDJ7uFI0s3SJZMcANVUBkCOODvFFYuniquqFX9qPd8bh1HSJzEO glH8z+EUbDICQq1DS9e8jjf+d64zrBojF6xxI2CTmXUyfV4I5YNIfkgUQAih IFM3ZOqFTANN4xSBTMPOKI25lFCoUBkIVUSFmumK06b+BG2HUHtGk7Q/lqIX IdRr+QwdnsrQG3NZOrI9S2/sztPBnQV6ZkeR5rZNUHFLiWKbp2ho8z8uVEkI NbmK76DAKH0aMQWLpu6q+vNu8Tl3cyXjywR8O0WLXwe/4JiOP6M3WMPDVy4J 911hEnI4LxDCAFa72L1DdHmqZEnRPqSt+X6NEIw/zuWsGf/Gxbupqe0LvGrE pARTe4V0iBLGswpBFcaAySJXbRn3YMzHNYvXy18yb2WupVKkPl32SrkVWWtD s/cvFu138OpBeFUuUPCq8XtW3XOZTffBq8CV0qnq4jQAp8LSKV3juEHOKZyg Wl8W1zPJmYNWGUSKFYNaOrSKIsakXk7o5YReTujlhF5O6OXEsKm5KyMUa67W qz1FDujl8M7Xy+5OkB3DJrscNh2t19J5zaCqWKyXRbhVI6qV3QiuVQ55EbWK raoK1zqepHbj+iXYNQa5xqh1/Rh5ET4oJfSCVkFoFUJ0Q61eqDUItSLNURrB UGnMrfSCWmlfjArQawoN4Bz02jaUoGcwZHoOeh1Mp+nlYoZemcnQa5vRAO7M 0eFn8/Ti3gLt2VOkzbsnaGJXiRI7pkjfP31idtUYzZ9xQLdo/0wfYr30qTtk TEOqGcQ0xJq+W8ilT92D+KlNn+TA26V7RP8I7U7TEjdYtfhNUO1ma1i7dok2 eIdVD1xnE5oozYxukFUSrpk+oq2DXY3KOmWe5rhAWuZWu+u0qk1D3s+yThnG XR4eWHVVdo6rUU9EGQvCjOgX5lXGWPKp3aq+0JjB5lfSrEdvspk+YZwlGXkY sv2hSrY1Z1t1+49tuvsSm+69HAXsJ+gCr1TF6xpZvAYQ4esqog3fwFvI3WgT Ow4vNinxw/ez7bPkxFDamS2qggbbYsexbQDRx7ZlyNmNULY1s20d821ztCrb Vs6zDT1dM9c0O8smhBO9oZl1Y6sM2aRwQjb8E3FZz08UOtaPs2kimkXwPVGn uEIzloxa1rNuHlw/LzXboDSDYoEGpVnjOHVDsT5HlAah2BAq2AjGV+MeXWrW FqO0P0b5YIwmoRlhnLVVS9KusRQ9G0/RgUyaDmKc9QJawpe2Zunl3Tl69bk8 vXSgQHv3F2nLvhKVni1R/oUp0+dOyLHTyo5VtYR8YJ6UbJWsYCzYLAQjLlez 93B7OAO3Zu6VMY2Y4vgZXENM/BzxC5uWuM2qjd0BKO8Rjul+hA9Uea+xmdkg oRSgXgu5msrljK+nlOVyLhCsqoypEZiY8uPlZBy8+uZC3mV3UL5fDrxvquHp 9uoHr5Rbpvm3TS9ZsJxYrpi08Fp/fgXFozBSsI+KA2oeh1wPfsOqPQS5Hv2W VV9/oU1vvtimt15q09shVxBydUGuXsg1ALkG8RJEpFhmtooP7bnRpo9x8JM0 J+HXl5RfrokJchWK5EJVc6GquVMFcify5EJVc8ExFxxzwTHXECKcJRccc7Fj vRXHnGganXCsuSNFzeyYz3AsSY75jplZMvarOS4cE2GHX3ZR1OwoavYGDl0G ipp9g17LiplOIQdaR8d6I2AXwilCFTJhlnu9KGT4mGeDjFaEF3b5EP6GcepA BGFYCIZ126PUD8MGYZgGw0ZadBozLEMhS3fEKNsZp1JPgmYHE7QZlu0cT9He RIr25TK0fzJDz2/M0gH0iQf3oJA9n6eXXyrQvheLtO1giTa+AtMOTZ25yO/A fkzJPsLH01RaRNkmliWbRswYkqF60T1Vu6XdK7bl+LnN9DF99hf4HJg1hT8n f4X4Nb7ebxD32fT8723ayM+tehB5ugNotQOxNkQrcGsBdu6rbdwcgueGo4yz aPYLuJQo4yI9F1hE9F4g7sua+QZtDa/oqTmOWstYrVqx/s0SiVxkqWoPecwl 9q3Wx26qRLVMFiHTRyJrPydE0h//oU1/8nybEMmhRAqgHQxBoh4Ms/rxE4Xx 0w1dV65MeJVGb7TJ/Rv18UrU/gMyuUsQqIhA0XJnIVJayuRG0XJjBOYeyZF7 GDGUJTdkcrNMaBFdhkxdLFNayOSETE7I1AyZmkXRqsjkgEwOlslxTJnM7JKZ JTKzRfxZ9VHWyIgatgnjrA1oC+EQPoEtcsEUN6Jlw5iF1UG/y+K0QRgfwg9p OiBNsClKIYjTg/LUD3HCbp2GIM6IB/J4Y1IelKdUME7ZUJyKvQmahjybhlO0 PZqiXak0PYNB1p7pDD27KUv7duRo/948HTiAgdYrRdr/WpF2vV6izUcmP39C 4nxOiDNvfHW7FGdqpRRnulKZxFZpc5BmE0rRXNV2aUIcCDMNYaYgzCSiBGkm 7rfphQdteuZRG2WfqiuXKBbHcw0j5braZmF3QOiT555WHnLV8ppOIYmprAlb YhKuWMqumFkNc/mtpexIDTtiZkXEEnwMIReYwS+DfN5S1ZhIvc2i1Z9l1Z/4 gU1/6jyb3niRTXehcfNhlNSF2tJz5XwlhqHEyA02FoKLipk9kIdFiLVqfNZ4 ZeXaCbrxRXH9BLXMTFDLVJFa4EgLHGnJF6glAz9S8CKOQFPnHlvgB5o6N/xw ww8X/HCV/UgBWj+fG+JUejRDj1vuWM2K8KIad1kOB+RwOGSUK42FHE0xo9qY qjSxCE0cHGIYxVcMmKAMRCGnCtcGngJ044o6g/c9HPXj1IrwQhOhS2OU/NCk AxGEKl1QpReq9Lt0GoQuEagy3BqjUUOXQJxSUCXbnaBCX4KmwknaOJKirXqK tqGb24FB086ZLO3ekqU9u3K0d1+e9h0s0HOvFun5I0Xa806Jtr17grp8uayL oYzQxVDGqDXVyqDObIIyW6DKJsScocwvEb/F5yKmocokVCn9Hl/3YZueftxG qSfrKPFEHUUfr6Oxx+p0B/BrQvCfTgTEEQ1WUDzF0nuxMXMgCku3DLRjPeJa ZdD8WiNLS7nIiPdqWSKTuElc9YDX0KVyvUKN3NiFVy7UGOXFCKnAhzU7VHoS Kq2DSi6o1AaVOtGm9UKjQdYINXMYKo1Ao9EbZF82fqPNwv/cwvKYxNEq5QWg 5pPW6J/JQxPkmSmSByp5JhDQyINS0wKNWlBqWtC3tUCjFpSaFtYoYmiUERq5 oZE7lCYXNHIFUrLM+GWpYZec8GgFPGr2JKRH7ArGRpCJVeKPOeK4sElwiBWZ 37Phww3skQOtm0O6xO/JWsOnWTkhU5VIrBG561GFWurHMSLywJ3WBvYoKhzy NSmP4FAQDoXgUA8c6oNDg54YReCQ5oVHPulRHCUn1ZWgLEpOAaOiUiRJBI/m 4mnalM3QllKGtmJUtB2jol278/QMRkV7X0C/hpKz780i7X63ZPrCB5ToM8er OQskmr2zUnM2QaItqDdbf65EgkBzagPCjWo39FnIs+lRm75tnY2KT0OaR+qo 94+IBxEPIf5Up2s32oxnwnrEzEDwvBrxvKS6S7RUrYDm6TYhTd/7SFO+YyTe WsaWLK+4wW9xheGQbpyqueHG03CjEW54f4yhCzqvPnReg3BjSHkxer3wwST+ jbkiBJ8wIY5RMfNVnjJxEmrI39YXyLO5RJ6N0GMWWkwjUGk8ReiRQ2Ty5Eki 0Il5ojnyjCK0LLVAj5ZF9HBDDzf0YEVci+tBzdyFyU5M6uGMKzkcvEYUiogq IwKOOMTK0aPlMPMVcvDFKYqOC3/jrgTMaIgKM6LkhRHeJmlFO4zwIzpgRbBZ hxk6dcOK3pYYDcCMMKzQ2mCGPy7NCCUohVFMth9mDCappKVoaixFM4k0EUYy mzCS2YKRzLZtOdr5TJ5278/TnhcLtPcQqstbE7TrvRM1w1JdXuQNWdNn5nVk M2wGhjKkNq7dhNj8M2nHNrYDZmyBGZtgxhy6sR0P2fQ9KCf7XXW011lHtKGO kigtAw/ViSkoMRXF87089TQk+ntIIhbGBeCGeIqg9+KjR/N9vDChn2fJjh7S izkza1mIZUII8eMaMqjxyLJIz/9Y9A0Yi7RgLBKADb1ouMJouLQreWc40VCJ U4QM8C3MvEkcraKnbhPBO4GLFePpW+c9N3OCUsg+4CzybC9R65YJap1DUJFa UTtaJxEsRl6JgdrhQQvWCjFaUTs8w1nyQAzPYIZaIEbLPDFS5A6mpByoHS4h RlKKseopcrIYLVKO5moxym1YrFw8zOwF29DAduiGGw26payEhZxQ5CxygX13 VcAI4YNH+dDGTsCFdrjgR3TAhwB8CLnZiRj1wod+VIpBdqI9TqMB5QS6rRS6 rSx8yEdSNIEByiRG99PJNM1igDI3laXNc1nauj1H2zG63wkndsOJPa+jUrw9 8cUT0qHWOJZcFgtZMPhu6u0882oMUGZUseC9nOdQMDZDia0oGNugxHbosB06 7EaH9ewfbPqBh210qK2Ojvjr6KCnjmnSei+yaqHzrGba9DTj1sNWwIgBMeSN CCUghu6/6DTehuVYSlgq08fGzZujbtyoqJ3vx4InhRHSjsWMsURC37VoXefh /7yAn4RnQ2rlyRErxLPU/CCRnrmdb45lVtpqxJuiRpRf2sXu4igvvn/MYnEW te4okXfrBHk3F8k7h0DR8KKn8pYK5C0gsnnyphHoqbyxHHnHs9Q6AieGpBce eOGBFy3daWpZ4IXbL71wKS9uVV444YVTedG8uBdiYGJhL0Sp4GaKRWhgEfgt F18gAMpdS6PEv7VJKWDXyefQoYBOfuDfAfwDrhh1Av8u4N8L/PuB/6AvTlpH nEaCCaFADI1Ssj9JmcEU5YZSVBxNUUlP0xTG6DNQgKDAHBTYDAW2YYy+/UCB dr4M/A8Xacc7H1gB+VBNjawItyr8b7MZ9HO7VDaAC4IyYBMbwO0SYisKw3YU hWcwHN/3gI1e9dTRYV+dGNJnV4r9hZDlrfxfWAT9y8v0998gagLzr7dfCPLx 57Bxws0iU7u15fsmljLipzLiSwXi4vZ/meWaRfheJq7LtVFUntFLrXqWn3XA z5bH91rAz1XAz1W8h9d/38WfzO/m75KRw6fk7hCfLoRYbO3/cQiXmf9z5H0G hO9EbAflWxTlqADeaUl5WzFPbTkEKkBbUlEezZJ3FKSjNWoNVyj3gHJPF5Oe opYqyt3tSXK1IbwJuvWOMuW8UplH4M3O+LwRuEC8Zl7qb9Tnp34Bew3DjsEp Z30XEHeraAHmHkQrUPcC8zaHQh64+4F7B3APAPcgOqAQkO8B7n1tcRr0x2ko kKCRkIF8khIDSUqFU5RFxs8j4xcxPiilMzSNcfbsdJY2bsrSpp052gLktwH5 7UB+5+Gimuv7oLxbqlM+d0C4fjySvcJSGR8o6GcV9HMG9PdI6JH2eTtGOthc J++0rJJrAvg2SvGnNllUTKfofddVSB+8UdLuA+kaky5pNwnc5dFO5QWYlgVL XORzkQbuYsh8yiJ81yq+o+BbhzkxpPrYlXgbEb3Sqk/C1alfQrDpX9lMp/Gb +iTULd2r4ufqpg/enuAbQD+1aYVbrVKNO2wnhfxZ5N1TorbdiB0T5NtaJB+S u28jAk2Pb6pAvok8+fIIJHcfmh5fPEdtjPwYAk2PN5Kh1gFGPq2QT5GncwHy SOpuhfxtQN7FyHtkYne64+REUm/mqFBvLmMviI8Z1FeI53Vm4J6xV6GTs5FX droa8QnuJp37/yadPIr8Mv0gv90ZI38V+UGQH0Ky7/bGqQ+9ziDIjwQTNNwl 6Y8i2ceR7FNI9hkk+yySfSGZoQmMjqdA/8xMlmhzjuZ25mnzs3na8ucCbX2l SNuOLE5/0yIfkws3PymyfeFWWyR9uaXc9FTfziiPjqtSPpoe2rOhTt9yj628 BXP+Oqv4N7wSZqkg/kOiixkE5f3XS+oHFPltoJ7/ziB/pGrrOXWu2VidmuQs G7CckV/OyH/kmN1KrTZ+gVVLgvb0ZfIojpTY5SrJu1wlrreaPqxvwqh94+/k KYCz96npMIxbpn+jZpN/bdOm74Yev5AegHva41z08a7j8C5vJtnIu3+S2p4F 7+DetxPMb5PMtyPVt6OhaQfz7aU8tRcQzHw6R74EIpalNmZ+JEPeIQQaGm+f Yj4kmfeA+ZYOZj6pmE+QWzJvZuh5JoeRd81Hvlng7hCkVwbAJvOx6LcI+msM 4mU0gXlXkwL/TEAfIw+KRyvCi2hrjpEP0LcDej+gDyjoOwF9CNB3o8Pp9Sdo gMHvTJDWnRTgj/enKIaUn0DKT42nKRPPUB4pv4gup1TK0tRslma25Ih25Wlu X542HSzQ5leLXz4h5mvKGV+t9DJX2pxT52V8tDm0a10d7V5fZ+y1OW8Hfgsv TBYFBNk2wQcxY9Q4ht5YqxONDNI5N/XLhAReQM/NjQH+yI0Lgef70XXihjH/ aVrKV8G1uHVwhuxkqqnXdeOOggIfqT5/uVUr4HvMXy9OCLiJ9/nK3AQREImb rPqWx1G5HkEFwzh94x+UC7+zaRt/bZ3nA+oB7UP7ttd9cux/ntqenyTfPnC/ F7F7gtp3FMmPnO/fhKAC+WcQk3nyo83xo81pz+SoPZkV7PuQ831g3wf225j9 /jR5e6rYD0j2W45mn9zI9S7RyPNkKNBnEQBjM6AE/CJUp1PL0PMEKef4Rpno zUy4mRFn6GGHC+EG4G4WB5RD61Z8KS8HvqwPjLeDcT8YD4DxYGucOsF4CG1N V3uCejoS1I/kPhhK0JDifGwgRVEk9/hompJI7mkk9yySex7JfQLd/CSB9a05 mtmdJ3ouTxtfKNDcax+Yc9sCzotHcV7D3Q3tANs719XxjpliO2XeHVBiLlYR 14rrR8WTkPx0fEqeolymnNP2kGpkmG6jfV+Q2tU2u0cDXiuu6M3rbGWiDdo/ LbC2zaNdER/xfMeijV4IpIF7AbgXoWPxRqs2cSvev82q5RBpRAqRxMeSK6z6 9jVo1FbbBP6b/gTs/yjRn71f3RX5tY32Y5y+rxXRcry5nOMh7/szkN9fonak fD+6ez9Svh8pvwMpv2NjgTqAfMdUnjrQ5vjR5vizOfKnsuSPZ6kdyLcz8hoC yLcx8r0p8nbJVM/IezqS1IKOvsXHYSD/pESeWxtXnBczOTmROyu4y1Qv+pta ht3CsLMVIpXHKgHKXTz14xb/pgX/2oOv0urk8gDWTZ8hH0hvB+l+T5wCID0I 0oMgPYTvpgsZvRsZvRe0D3QlKdKbErSPopUZH06TPpamRCxDqVSGMrkM5ZDR C2jkJzZmqQTap57J0/T+PM2+WDzrA5L+Ofmx6oyOpMudfC3DTtvW1nEw7bxz MrcCV/L8B2CfvwqxyHMX/FDKKeKBLt4ggic3ksA9Btx50R2fyY0enXt2k5i6 tIjp/Zp5LYyB+inHYftTi/QvMo2fEWkF22NgOw22i8w2WqsJZhssF+9EWkdk EOk7EKsQK8H57VZ9px0j7/WK8UfB+MOIB8H47210IFhHB/x1tN+H8NYtepbV ceCWr/EXyPfyFPkOTlL78wAbed2PnqYDeb1je5ECGL4G5goUQF4PTOcpgJ4m gJ6mA4B3KMD90Qz5AbgfgLeH0+QD4G0MeHeKWlVO9yCfe9ol3C0qp9++CoC3 xAXgLlesmm9nNd+1atjapItRq0lQTs2Sba4E/LdAnOfvHSKdi2hp5rSOL/lZ kc69ANwHwNsBuB+AdwDwAL6LIL6jTqTzENJ5NwDvDSWpvztJgwrykUiKxkbS FMVPGUtkKJHJUDqfpSwgz6NfL8zlqLgtTyVAPrm/QFMfHHKRXczMN6gG27QV tG/l5Ue32bS4oBpsi2erTJbqBbasAj9hBaLl354idj/Jyl0QxQwez3PrctNb PXCRmHaRuz+LkahYHGqeD7WZmVaTg+KfGQh/8jhYe8+2aOPAOqOwnmCs6xC3 I+5B2v6pVcty4O3s3fi8uxTiK0Ua13c22EQK3/qkSOH04kAdvdiLMXd3Hf25 E3gHFp+F+cH7Yf1F8r0yRe0vTpIfuduP3N2BdiXwzAQFdhYpiHYluLlAQWAd nMlTUGCdowCwDgDrALAO4BceUFj7I2lqHwDafSlqA9ZetCutgaTCOkEexhow uVursY4x1uQSWXZB7rYrtpeXp2TMTHQVzF8QEpSBxj9sAcUeDpekuQ3e+ECz IBr/eQciALeC+IY6kbJDSNndnUnqAdF9PSka7JNEa1qaRsYyNIaUrSNlx9Gg JAtZyoDoLBrx3KYc5bfnqbgnTxP7C185EZotguYacXpLUVLMYeEPLOWPCF5r GFfTcgGs2ohQnOwdl0ug9dCPT2MsKx10zSKofuaYWH5GYnmRxHLCwBKN8gQy 68TPgOovkXF/gfg5uop7FaJ3qwy8SmbeXci8O9YLPOnVkTp6eaiOXhoEnn3A MyQy72IJ9zhkyvbta+R7HQn3VdD5EshE4vUj8XYg8Qb2gM5dIBOJN7ilQJ2U p07Q2Qk6g6AzmM1SEHQGQWeQ6RzNUMewpNM/CEJBpw+/6DbQ6QWdrUwnyPS0 GXTG6faVoBPguCt0iia6KutW6LRKOpvFANJoJBhOM38u+iKXQtPtlMFoevDV vRweiacPTjCefnwXAXw3QaDZie8uFExSF77TbvjUi3LRjzHiYCQtEB0ez9Ao 8IwCzxh+6kQxSyn0z2nKUWZznrI78pQDnvnnC+oh+vmvdOMiH/t8JdvWiJMb q87bWsp8qhzL6Mr3cLWIM4hOMY6zk7TeImlNgNQYwOsCrbw08rRKf2Cp7g9M ZxyH1DZFapZJvQJxHeIWBJLkBMic+C1oRRR+DVp/qYj9mUyonEwzMpnqu5tt 9Hqyjg7F6ui1aJ0kNqySaefJkXom+Q6D1EMg9WVQKnIpKEUuDTw7QcE9oBS5 tHNrgUJzeQqB1FApRyGQGsLvLARSOzHOZ1KDSDcBkNoxxKSmyI/fdTt+7z6k pzaw4AUTrVWktngEqWbGlHdmqoAq0bMwo+Yyoqj83A4028uEWgSgZ5KrDCeQ d8WpBWAyoK0tDGiC2gCnD/9hOwOKb6AD30gAzXgQcIYAZxea9O4eCWgfCsCA AlTDDzWCH24MP2QUP2wMgCamcpTcmKPUljyld+Yps7fwtQ/I5hckmzzhYJH9 7goJoZWvZoYQJPJKDT5Tcbk4fJQxNE57ZxR7Lj5N4IiRVI1qUsfmL7AVqdR6 goD6AGiUAb0EMCKbT1yPWIFAqpwAjBP3Ie6vQFr4lUytC9KqXvqtjY4U6uiN bB0dZlAZ0mFAyim150QBlTM+n6e2t6fJdwSAAlT/awiAGngRgB4oUXA/IH0W gO4uUmgbIN2Upy5A2gVIu/D76lKQhvB7DOkS0iA6vQAgDTCkSKd+QNoOSH2o pQyp14AUqVRAevsTJkGpWdT5SvfqFN3rPErFuwaY/HmuKjA5Jws4W/AfAEwv wPR6JZw+/If+doYzSQHYEkRTzXCG8M11A8we2NSL/N8/JOGMAE4NrepIOkvj OQCKwh6byVEclia25im5M/+vJ5Y0xX09zpyCwnKKXC6uNTKLriiHRVB6iqA0 e4s8Jjd9s6S1D5TGVeLUJWZ1ttPKRb1mETo//QHozFXTeSsCqXHiFzJ9GnQW q+jM31tOo/rkAzZ98j6bIPStiTo6woQmQOg4CNVA6MDJ0YkW9C/T1P42qASh fhAaeA10vgwyX0CA0M59IPMZxPYCdaGsdaPgd0/mqBt0doPObtDZhV9kCKUw pOgMYjwSGEDgF9+Bwbhf0eljOgFJKwbtHkFnjOkUhR750yQAlXW7VmTJ5qoA oiZV7PnNU+VfqHZA4MxYA1UX4zoPWb7lCGBNn6ZWhWwbcPXBEz9w9QPXQDBF QeDaCVxDyKVd+M67kUt70bb0ahmBbBjIDiWyNJzJ0ihGV2NwNApko0A2htFV fFfhgyJ7ZhnZWka2hnPpUplGCyuq0qiF2eSTaRWd/Rfz8B+ZFIOx+E2K0DoV xp0IAWmtmsBVtzLEW8dOoadE2gGp/mMF6ZWIGxZA+hse6gFV00e04m8kpIVf lGu9PvV7mz6lIJ38LUD9DUAtAtQMQI0D1DGAOrT4+P99Kf0y+d6dJj8HSA2A 1MDhSQq+CkJBaufBCQo9B0JR7Lt2Fqh7i6S0B7WuF5T2gtKedIa6QWmXzpSm KTScpk5QGkRaCvbg9y8oBQ+K0jZQ6gWlra1oFlsUpS5Zp12yFVUNZs0CUHkC oElfplZqANQviQnfMqgMaXO8AqqC1O1Gwm7hrgK5FZB6vPwNyGTuA6TtKPh+ QNqBvBoAqEGA2glIQ/1p6kZe7YlkqHdYgjqIHzICUDWAOoxB0wheiFG8IGPQ N7o9//UPCOnnFKRPy7xay8N+MWqq4SUa5nLVNzOupmWi98zdItNpdUqV0CbF us6EgjYmYAWyixGrpmqjMmT6PXaC/Xik/buK3UutWukqxI2I2xB3K3Z/JfiV fSr+LEp29ZkHbfr0HxCK3an7xYP097FdItEyv2nwi3710Ohx2T3nOOx6/zpD vvdmyP/eNAXeBbtgOHgE/L4+SZ2vlCj0AvjdD3b3Fql7F/hF+etBTulFbumd kPz2YpDRA367kYO6R9PUpeFXHwYCZX7REyp+2zuATDt6Ry/49fBgJ0Yrb3u8 wm81uw4d/OrMLdpTnadp9aVldi3iXp0V4MbL0ApwXRwJAa0b0PIUMMA1M7Wm 05He0S23JwW3vkBKcOsHs4EuyW2wFwIiuXaB2W4NP9iI5LY/lqXBZJYi+IEj xRxp4HYE3I6C27HthQ/Kra3MLTeqT4vJWdEYLGeCT1EDJ6MfkAeAl3PtUtGz Dlxy2ry+NcGMxrhpNe56mcup9VR+69jTqtaIX+GZX4DnxN2qO5WImkWOXc50 6rN/sukzD1XonP5dmVAJaI1MsHkAmgKg+vGq//HYbH1Psfk3sPkeuASfwbem qPONSQohv4ZenKCuA+ASPWr37gL1bAeX+HX0YZDbj8FuH+pgH9jsRfXviSIV jaBuDqF+ojcN9SWpsweDacVmR5DrLQbbvjjGNDHytlSxqfIqs8ntJ8+gOiWT jKSpAqas/rXyLpp6cof5bG6Wtx/ipn8hp4tvSSzgUyVVTxtPOPBwDsO6jpQA tF0B2tHNPQv6FyTVzkFUCgYUQ8LuMQloHwDtR78zCEDDADQylScNgI5szqtD d96fTvHKW5hOMc63MpNmOYwv8kUN6yudqqSzRtC5TB8EmWJUdcs8OrkbABQx TqiyEdCrMuhpfD39OC0qIxrjO1pAdOLq+dOjPBdVhSlTqtMjNsHoLBid+eOi nOpTshOgv0zVGaCeIKSfVZC6/0oAdZZ8f5OgBv8XkALWznemKHQEkB4qUdfL E9R9sEg9SKS9ewvUtytP/WjKBjYB1Gn82gr8q8vgV4iGDg1AL0DtiXCTl6Qu gBoCqJ0ANQhQA4E4xjIA1RujNo8EtbUKVHezfhSkCLGMQTeWrSlwLZLZymNl Yt2Dg1nla41cFqGWSDh5iwHAy4nZLW8kM7ruVny4xZs0fVKQ62lPUaufp89S 1BbkCQoQHOJxYFrQGxhAFw5yQ0itXSMVenvjXEfwMuRyNDiRo/B0niIb8+oA tfkvfcOx8qpF5VV100tOVTHDy2gbegTVGage1sL9gFmQWyPIFS2BpLe6I4iX OwIDYDPz+yHG9tgz+6fKzMqz+pdWzeqvVJn1p2V0dfqTeOz5Ed7sw8B29kGJ 7kwVutML0Z0EurkTLvyS26+S+z1w+zfF7f/OUPDv09QJdkNIsl1vTVL34RL1 vFai3pcmqO/PRepHEzuwp0CDO/M0uAW/pJksDaAB6M9kUBsxdh5LUd8wxtHg tgfcdvclqAvchkLgNhinAJKr3xcjH5Krr4rbVeC2xakzt+Tigi+LPk+a6vPu WUloY2q6yi4f4LJX8qx8fqVZYCuQlSuVnfywMYA1fUasd5PIJsntTVJLG99P 43trfANZMutlZsGrrytNfvDa0Z+hwKBkthPZNjQKbsezgtketLG9aQSY7Z/A ywJmwxvzHxTZf5GtwCZuYY2MK2hdzrTiJ+b7s8ZMQc2C3Ju7ReReg+DaeQSr ma1KY3vzMTFepnra6ows+txPHBPtD0c6VEaeuKzqzsBKNaV1N5AGsgR8CSgD b5GR8aeZ2cZPUqb794JuM6OND5fhRvPwTvGk8/FfiDzvErW9O0PtaG4DaGxD f5+i7r9NUc+7k9T7Von6wHb/qxM08GKRBtFAhPcVKLwbv8Ct4JpQQktgO5uh gYTkuh8NbV84Sb0DCeruBdfd4LozTkHk4kB7jPxevi0qb4+2uXXyIlbd+jh5 mGsH514QLRbNlJsGDrXkwN6IXpZ5ruWnfKt5Nh5bdCZMyyTQLgG0XL6GBMxE u1r5sWG3yMBu0NzSrogGza2g2dvJNzTS5EMGbu/NkB8ZuCMMqodANYjuHM1S KCqJ7kaD253JUU8e3X0JRWomr45zfX+cPytxnltdZ1rKUDPT5VCdrkU0FArv 7cjQ29eKwI+Hqxi6qXtf5dkwJpxhP0UM28KgvDx8U51GVS/M8w+C8XjVUE40 x+Yy8bXyNq3x1scF0/+8cD1NpOVsSyRgcM53wK4tc67TfXKZJPESMYP1B6t4 Vyl8Fh+f/YMEfUal8GkxjgPn+C6nkMbfnRIPhCz6MMhxcP9nlcYdRzaS802i lreIvG/NUvs7QB7Yh4B77/+Zor6/TVL/X0o08GaJBl+foPArRYq8gNhfoMge 1NjtqLVzQB798mA+gyFOmgbGUzQwlKT+QSDfn6AepPGuUJxCSONBf4wCSOP+ Vp38Hh3I6xJ5l053MPKOKLntUXI1RYE7PwDSJB6ixbuORhEmI6Hb0YmI59jF cnq58YNYhGBH92wvG5CwCAE+K589UeCLZcueJMNPLi8vc0tJ+P1y+ZtYMhHk 5RNp8iKVt/XwvecMtQ/w3T7Ar/G96SwFx7LUqeAPpXLUnUUUMMQt5f/9pLhf fWzuOaMz8hJ702l8Fc01P0SxYh7y5akK8G4yepQFzFcnd6PJNvNVZHiTGA2W 59+inOkN5NVDH+ITjNR+qrj+01Ea3PtZS+SpL1q0+CVlDXS6Vz7vS7+xHa3C H4QOZnYAX5SObYF41p7zPVvw3swJNzLSgK+T/dAcOV/fSO7XYcARGPA2mhkk /y4k/l4k/oG/T9LgeyUKv1OiyJEJGjpUJO3lIg0dKNDQXhiwA2OlTRjUoxEP F2BAKk1hPUWDGgxAwu9Fwu/pjlM3En4oEKMgEn4ACb/DIw1ohwE+NgDJftWK x6gF9LubygawAAb+JvFQFJIdPzci8dfLGohd8cR6HDvPcMgNHxy8gTIcUA8j qid23WURuLR4kqZPkdObgggIJYJ7ngi8PjRNrd28cC5Dvn65kI5F8GtZIUIA IgRjSoR0jkK5PHUV89Rdyps+qAnyN1JLBAk2IuZkaON8MpVozWuEEGqVTqUW 1FTXAtqxtq6WV2DClx1rKyWiVlyPGn2KKejIpacZM3t8QKP4WJUqpsVcsVRc wbWu7IpJiKJm/aKqVzpN6HH6UXr8AnqsPtPCK+v1jSvkgwDE+0r8chFFHpin iKwW0g8zPzOPb4P1mCkXiWmjSPBOLidfJL5ETS/PkeNlKHIIirxB1I5CEUSh 6PorFEGhGEShiECTob+WSIMmw29AERQK7c8F0p7N09CuHA1tztLQbJa0iQxp mTRpsRRFRrhIQBEUiB4UiO5gjEIoEEEUiAAKRIAVgR7t0MPnipK3OUorb36U F8eLh8XZkEYZzY1RXlSPi10sqpdb1ZWtMAapYrNjNEl2OzdGrMdS3vbuKD0c 7iRKjzSjNSXsEIawGe3qaRheKc1mdLIdGdiREXZ4lR3tkaywo4PtiCJiOWFH MJOnznyeQsW86T9OyAwLm6ENX2plO0yiZJS1WPNBtKjhRclmdqOG310qjKgp Fw22wBgRzLNA3jrkh7XnjWrnVwwzS1DL7FvKE4nL+S1ZGj6+kH3tN5+3auvO suq7r7MJ9jcy+/cuwv9vj+KfB7x/5PlMdoG3i5jlFccPSPhn7sd3UGa//Bou xv7334/9r1DjwTlqBv/u18D+YSI/SkQQJaLrXbD/HthHidD+7yQN/2+JRt5F vFmk4VcRLxRo+Lk8jTyTo5FtWRrZmKXRyQyN5dI0kkjR0FiSBsMJ6kNp6OmM UTdKQwilodOrU1CwHwX7UWoH923OKLWiMVp506PkbhwXDwS6RDnghwVrxPNT DhV2fkxWbEbSJB40qZKAtWjiVUO8/Xd516xmuddqhf4kOVrkhlvNnhQ1G/i3 yW0geEsIdwdvEZEW+LcAfU8XogcKKPzbBrPkA/7tw1BgjBeo5qgjUcE/mM+b /vMDoi+fH6/RIpdYafapOqM4yIbJUh4oiHvjoktaWt0lGeQz88uZ/qXSAwE+ tV/9Rf5kI/VbFPOpKuaPmflrmfl/Yr6tcv9Q8dNtxLeiQrsPfG8A33uvB9u3 yge8eA+hYzJ+n2JctkJmAfpSgbzAexHEF1uZeRym5Wv5Ve2ajVFqYq5fAtev bCQv8rr/MLh+E1wjr/eB7UHkde3/TNLo/y3RKNqfsbeKNPY64qUCjT+fp/E9 OYruyFIUrY8+naFoPk2jqRRp40kKRxLU3xunXuTzbuTzkE8H11EKgukAmPa7 o+QD014HP9Q6TivrFNcN4+RqGDewFkjXC6Q5ahYS3WgQXSM3tBdEJ5houdci agHDLIHm3smTMp0utmds9qo9TfhRdT9vBySBdgczEuhu9fBvHz8VmSVvOEtt Q/zkDGIsR34dkciLX3kgm6dAPv9fi7ze9cf8HZxC02B5BjG7um5ew1Me+a7h FH/sXG5hmmv4Kaql/BZ+2J0G6mvF6Fhc26/5oviH28RX28ZfbatYf1c9+EVY Fsz0lFN7BfOlopmhOdSbM45i/f4vWLX6r1j1/WD9bXD+Nj8FcvcxeP/1Inn9 d6qv+b18G7Dj/wfuplqGXZ+5T/b7CH61Fu313xf8L9P6ZzdTw/5N5DgA8F/Y SK0vE/leJQq8PkuhIzPU+/Y0DbyLZgbwj/29RFEkdf2dIsUOI14pUOzPeYo/ m6P4riwltmQoMZMhvZimsXSKhqNJimgJGuyPUx8n9HadugB9qFWC3wHo/YDe 5xgnL6D3NI7Ryhsf4bmXBt6DEOCD+3Fqrh8nB29NaOeNQJq4pWlSLU2Zew6L sRu2Ql9slN0szxuS2/m6k6ZPi721HR65669Av01urOj080aLEn0XsHd3Irp4 VweFfj/v9sDPwgN/tDFtIznyjfMDlHlqV+h3ZPP/fULYf4imgPz7oW80MyqP 4xWSMKs8LnA3K+jFU4Qy8DFcxYdEoyP+gWz7yc8eGIMBw4WlalTN6/2SchJI LkAx8wqpBbNAoseplXf1Y5z08dZyYcMnxWsxV2XDA7ChETYcvAEm3IN4YIER P3vfKoD/Dx5IBSzyYar7hAb4DvkqesHyq/vxk9HhX2nt7s20Ye8matqHWvD8 HLUcRC14CbUASgRfRy1QSkSgxBhqQAJKJN4tUhI9Tuq1AqVeyFPquRyld2cp sy1DScpQrJSiaDZFI7EkaSMJCg/EqT8Uox4/dIAKnVwDhArj1A4V2uxj1AoV PA1CB8gwRu76MXIimjeMQQU+GG4DnyzK23c21YsQZUD0ODFx3ILcGn75ojI0 uZLiQC67O2VmHUyfLMvg8KWpuT2tZOCtfDNShpDa9qcnSy192bIMvDVQq5Yj 7whvi5KnNsjgkzKYvvUBTThDmTD5ZJ2wYZ4RTx3XCGmCuZz+F/Bv4edpLfym uSyBWZWDKgHKPolnuNRXlgtg5FzTZr5pG+dBa3kli8CbYf+wuJ5eRl5hr/3+ i1bNDuRfuhGoA++3keTfvr8Ke2hAxyoGBvbc1ZDI+QbwRgjw+aU5qcT/TVqz bTOt24Xkv2cT2UG7E7R7QHvbi0w7Op9DIP0NkP4WSP/LJCVAe+a9ImXQ9WRf L1D2pTzlns9Rbk+WstszlJpD8p8E6bkUjSUSNDyaoEg4TuGuGA34o9TNSd89 TgFQ7m8eJx8o9zaB9AZF+g2PCMp501mnpJwc68eAOMc4NYng/G+wTo0iYvKg UTOfs2iMZ5vE6QjygDnTZ4/ivqlFHgYkTllg6NvSAnwHwG/2Z8rg817WLgE+ bzsqtx9tGTDA503jctQ6khfgewF+mwT/xLj/KJXAvWD/yeOzX10JuIVR2V+C X1MNPmNfQ8+sZ4rxZvnD+BS9W+z9FLqBN4UOIh0HEB2IDeefprejWWnD4LMV 4bnWprcgXAjnNTbdgWhCNF5t0+uvsunrEeuussmh9jKhCH+Hy1jRjwknPj3P CYT2Rzjh/KpVf5WdgANv31vxgge787z42XHKgWySzPxGDevwfiZ875gmfJGe mthKq2kLrdm+mdYrIxzPzpFr/0by/BntEIwIvgIbDsGGw7DhTdjwTomyfy1S Aa1Q4Y0CFV/JU/HPOSo+m6XczgxlNiH3T6colocRyQSNjSEGYzQS0ikCG3q5 93eNU0fzGPkdY+SDCd4GcRRAPZ/KsfL6h8XWy2xC83phAs/O4LoMFowZNogQ pyPWCx34rMQG7v7FmaNNMXkWL58T0lglQlKJkCqLwKdj2b1pspdFyJDDz4cl QIKg2ti9K0uuKhF4v+qWMG8sypvE5ckzioAIrTHeKKtw4iLU0AQEKKmAEGa2 AQODmff3QHY/IsmbK5mfDRAWmHkPEbM+KOYiBwBfP6JXBYTQuxAhIQaUMH1C r7/gNN0PGYQQCK+S4phCXF0WQn/6Spv+FOKJn9j0xxGPXmFbWtZjaUWPM47S 48EvWTU39DhcByVWqnEDlw4o8PZvlSJ3SU3KpeMXxxhHSE14Xug+7prE7M/s b8Vg4f0GDMez5cnMVnqqtJWe3iiN2bBzMzU+g24JxrhhjO8AUeeLsOXlGYq8 BlsOw5YjsOXtCSqhU5o8UqCp1/I09UKOJvZlKb87Q1kMHNIzKUrlk5RE7UiM xCk+EKMobNECUepvi1IXakcHTGlv4h3IeRt/PlPNg6uVboctrvWj5EQ41o2S XQQs4VjPIeqHRRy5u1TI0tDAERMhjhvljonP6/2QPMPaoQLCNC4qDB/XKIWx +zI8lPZnkMr56LlmIUyWnN3yrB+XIcxgjtyoGm4tTy0jvDMvbz/K25AWxEt8 wsJ8jIpP1NHEE/OkKVcRo4JUW1MeQ6wVYwbWxWRZzBd96CaeaYmg1Y8AxjAC 8ugDiH6eyu+70Wb6Z72H7blR2tOJaIQ1XE78HLDGV1VO2Bx3lTn2Y5nzE2nO Y4iHr0BcbtMfudwmt5gQCtVWFPr4UcPuP0Gh1q9Zteg3rfrbGM2/fTsC2rz9 0wUaGZXGqDK/EKr8UswvLabSb21Cn5MvNF+jJ2JQJ4tiM7mFnp5D+4UWrH4n 2i/o494LdZ6DOgdmqe8g1HkZ6rwKdV6HOkegDtqumbcKNPt6nqZfzFFpf5Ym oE5xc5oKKDR5qJODOlmok+mPUaxbpxGoE/ah2LSMUZCLTMMoeesRG0ZZHGqB Lrdd9ydyrhuhZoRj7Yg4zHDUwubwqdTwpoFDnNDWILY/b2B56mNleRoauQFr gDmfpQaY0+CQ0eiU5jS65GnxC83hU+XtPnkAKh/WKA5tDPLBcxVz+LQsV3+O XMKcvDDHPcJbw8OeaMG8yGu92KTThmP+TmqoAHuKKmCSmTUynVoWabqqDasu PVUSSXXM+gjP8A/zUFkTT14OsTs3SXcW+MP6yNKj5LFfeJqsPB8XrVh15RGt 2HWLuHONdGeDcmcN3FltuANvHrmCEz7s4eulNrGCT86gGQqJgYuZrVGdWrVH j3zZGm62LdF0ePQmPHprBdy5DXGHGsDDpY13VFyihYP4+WWphmXihUq/KReg kxbpq/T4yLaKTFOoQ5vQuW3dTPYdGLHvhkh7IdI+iPQ8RDoIkV6cosSrJcod mqDJN4pEEGnucJ7opRwRRJrZlaFpiDQ1laLJXJJKsQRNDMcohxqUhEjjwShp EKnfM0YhJzq2RpZohFrXj5AH4YY8t10rRYJEcAgmoVFDGWpSZagR0cAhlDJ0 Wo7rQp3iLBMiwTqZ2SVcnEnT6WWVGoVKSiNvRqjU1K7OEu6QGjk6+TxUdZYj q9SXI+cAIpwn1xACHZt7lFUqWP5RjcyUf6IOxW+eSwsqkjGmoQXVyKhEu7k/ G2d7xm4WB7Hwpj8qylJ9YlGpqoXiitR84WnlilQe4FxfZdV1NnGYWsdFVovm v4j3aDHOgxdnwl9oNWveC/nDrerwQ488QaqGD/HFh+/7H6uxAQtHDcv0oYpM n6qWSbvnTGv4D59ZEnZ9DjL9O3o7iPQGRDqCwvTWSlWc1DBICGX0d/cskEoK xUXqVzwp8GvRz/260s8d587H8YrSY4NwaWwrPZmAT/kt0qeNGAVt3kTObXPU unMjdewm6t47QwP7pmn4+SnSD05S6qUSFV6doJlDBdoGl7a+mKXN6Oc2Y/Qz tylFc5MpomyCZuHStBajIkY/6V6dYp1RGvGP02DrGPU4+ZCzEfKyR+ukRy7E imseIseaEbKvGdEvuxKjev1SdY3rl14lAojwFR+7KqFferUIfu+aBP/NNUn9 0mvLgQ9clzTrl12fwuWGFEg1jGni0+oDWbLDGLsyxiGMyVGzMCYvjHHCGCeM cY0WyPX/wRgkhywkySHyKgqVImSSVWipkGdaTQtzG7eJBz1r6yy8R5BZj4pb c+NIzuM3izBJeT5clmdYhYaoNmdhKXJddBqfI2hRZ7Xz2dOd8rRBkzzTvVYK I6URwd6Y2Rv8nbJGhFcexou/81xgrWVhzOzLKSyKVfRsH2UtqhUJ33b6kvBD /7xE6/2GVSjyGvR4/XapyJuroMmdquZAgbd5MIOigzaNTaGFk2i/sIkuzsKW sCC/+gcFOYse7dlGj0eqJMlCktIWWjeDgc/GTeTaPEdtW4kCO2apZ/cMhfdO 08i+KYo9P0nZgxCEz/56OU+7XsjSzn0Z2gFBts+laGspSVszCdqsx4lGYlQK xygLQRKhKI1BkCHvGPU6+LR1FJp1w/oVV8X0K66M6Zcj/uf73RY2o4bFMLMX FiXFJdDjEigh4uqEmY3gS9JSNoE1uT7FOggbhBO43MiXOr7clDItj/zb2Uly 9PLB9XlqHkREKho4Rws1/6gCFjYAvVOVA+AeBoD76iHNtCoam3gKVhePwupq IyHxJ4fYNj/KD9GOCyfG8MHRW4QDJtGTmZYbDohz00Xw4c+IjvNq5KEZhgBm Zl9gb2bq+YBAyXsV86dI5i+ax7zWeoGVqRdHvbeIwwgF/i3ilLT7zrZq931X FA7TqXytlfPG1TZoj37FGl71qSXhh2FDH9vwH1b9VdhwGIXiDZhwBCa8ieLw 1k9V0eAzQlYtKByyaFjYB7MY11hEJzb7S3mjUIxgTtAFOd78Aj3s3U6PBLfT Y+xEeCs9MQInuBHLwIkimrBJNGEzGM1sRBO2GU3Y1lnq3YEmbPc0RffAh2cn aHp/kbYeyNPeg1na+2yG9mxP0zMbU7QbPuyCD9vhwxx8mIrEqNAX1W+qi+s3 3hDXr7s2rl9zdUy/8krdDBFwufxKHT/bd7/fDRV0USiED2wBHLkExUKFhbUw sxP4/Eu4WFwjwlQxw2KYcV1K2IHAe/PMAHlQA5HWL7s5rV/OcUsaX+PyFWne WAFyNA+Lobzp/4MdGR6MsCI1C8uEtKSW7ZArUm+SOsQE7TFhAO+dGFsh9lDk j60Qq1fxflTFOK9ngiYWeShMr3ECunE4hjxJRh3iLKUQZ8p0Vh31HDCOWK8V drSrUGbg63ETVVu2wiOtED2Uhd8STnxECPFJdoFfBe3hr1i1J75qDd/xqSVa 69etWt83rVoMFryGWnAIpB+GAYdB+REk/jfRGr11r6oLv5k/HsHYnrn/GStw r3gT1WH25+I4N3mr8KQU+Cr9ybWdHm6FBh3QoGsbPTYADTRoEIUGKQzs85tp Q3ETOSbnyDOzkfxEFNo0Q4NbocD2ScrsLNHUbiiwFwqgX3p+b4b2Q4HnKEX7 JpK0N5XQV96W0G+/NaHfektCX3FzXL/pRihwXVy//pqYfi3KwE9+outXIC7n EOjrUoOfwIpLfyIqQszCFpjn429m+kWDlJBNkmyUlmrfPjdp0b71oyT/3Q2i LjD284pC2szY4xMuuyXNyMu4NV1D9/9pxz88FLdQmsk+DvVyDalYR8ekLxOb JfLBQXHJuZ64FYFkGb9VMH8r72t+qXHeeOUoiz51GrlJHJVsnAQjj774R5k3 G8xfeDTzNUYh+I5VFoOzeY9opl8MGCKe71oi3u9awnd9GuT/m1XrB/mJ/0T+ R+4/BLIPIb8fBvWHkd+PgPo3AfNbv1T3T+6bPzksZrZka8QDhp+JVuheJcDP 1Y3DT51cDfiTHQK4IQDXAv82erQTEvRCgggkQI/0VAIDiAwGEDkMIIpz5C0R BadnaXB2msbnpiizGQJsLdKW7XnasytLB5/J0AvbUvpddyX1u1Yl9DtuT+ir IMDKFXEhwC3I/zch/9ddG9OvR/6/5koBv5npNzPyogZ0gXudw6QMuERcDAO0 b/0wUYtL8hRGHb+Fb/8oybxL5sUVn3Me3j8vxSHeS5m1b50vysCKNEPOgbzL 15MjXaygrKHU48x3+vE6ynCAbxBvqXqmJibOjIjdXOGb2U7yvriAIbXKxueu XMbnE/FpXNrApVYm3QhzNeJ8CFhVy2OZ3+uIXl+2+DWVFv/HotWRnc7Scqfj rep0PKKvUc0NLueJYfG3rdVwnyoze8R9tngRIq3gGxG2/5cp0vk/lkjv9yxa Eny/ArZfBbevgddDYPswsvobYPUIsvqb6G/e+o3i+44y4/gdg3LUY6P9n/2Z intVcv/0Iq/+Oe/H9lfooYbtVXyDbfD9WOdWyfeg7HeeiqH3T2ympgwSfHYj BfOzNDAxQ2OTYHsGbBPYnsvrq+4G0/ck9Xs47kzod4PtO1eC79vigu3bborr K5DYb74+ptchsd+AxH51dWK/AokdcSniu+d0cW8iWAfYTDOHaZm4Mt1J7dsy mO0fJpcz5suY66VlkGv186+YsAh8xdbeBtIci609PSbBSysEG0vjOMTz6LxT jeK2zCzvDqqFL7Mu1cKXc3YcvNyqDXBcZjXYNVVBa+FzH41T6/AXPTJXq35d hWU+w3glVHouY+yXGAuKzUwxvnC5W79AjVDx70S3fl4l7vuW1UAZnwOQlwuQ PxFxnW2JuL9bgRnJmvciiXR+T8AciZxj0VJXAGgk4NcQh+6RMB9G0n0DifoI EvWbvwXQ9yMeUMPYWjmMvVvGLP7JrMjZoFkk6TNOBuTP04PrdtBD9e8Ds4am fRyJWt9EnsRGCqSI+jMAOTel37gyo9+8Kq3fuiqlr7pTJuef3p3UfwaQ7wHI dyNJ34EOZSW6k9uQoFcgQd+MBF2HBH09EvRVIhFffkWU+4UrogJihPbvZ4/W gs/EcgZ3KXMrSF1qZOAfpcoZuMbIw+enGFwOJEW+ykdo8ZZkma+LPVJ5TH7N gt/llET2TT5WjvIGC8yz2AIkbiRjcXAnb7tvHOvOyZdhtmgRgBy5QgTeC1/B KXMQ7w8agFcgV6eYGkebVpoQczk1L8QaCfxiazXaovswi6HoskrrMT81i3aj nJX/ex7SgmhxarDpjIgTRLtAcEsV1T6mGuk5BKL7mOrvI03j5wHZWvoKcdKF fgjp+TDS82Gk5zeQno+A6iNI0W8+ALJ/p55b4BCpevZuvv98j+T5MyfJ85od 9ODaYzAdkkw/zp14BMlZ20zNI3PkGyf9yhUZ/ZpbM/r1t6X1mxArbk/rt4Pp O1eB5zuS+r2InyIp342G484VaDyQlG9HUr71uph+M5Jy3VW6fh14vvInUYNn 7Ts/jANhGeB5KfOMBPuDRA1DzSmZe+lzkzVMtpk7DUF2UtL9o5TkvHYRvJfP x1u+x1fB+GJbjqxf5GPq8UnQbabEY3XzFjLLkAuZTUuZbeNANwGpOPenwjZo 1sI/Adti42e+WsT74uOXi9PZRRciznnj7kN12Uy3wFyMKZeVwa4pt9Xz51cq 84oms2w9fKL1UEyH67+zJLzh20u0lh9ZmWczw1zVSd+PTlrsHG36SKSZkUZ4 JMoC6w68HQTSfgPrcxbFGv93+ko+bP51YH0Yyfow0H4DWB9Bwj7ygDiXhnG+ U9zIQtaevVvFP8L2mfTHp8D2auZ7u+TbUeH7kfat9Ghgq8zb3Vv1827I6Rfe mNMvqcvql9+U0a+6OaNfe0tGvwFjsZtvRb6+LaWvvB35+nbkanD9U+Tpu5Gn 70SeXoU8ffsNMf1W5Olb0GzUocm4Fj20dvYP46jK1VgrtJFivi37ix8kyj2H uUx5LVPO/ca56DzOTYH0lIl5Z7YV4CJhi25Dgvz/qjvT8CquM8+X6t4rgdgS L0kn7siJcZx2YhsHBIhFEps2Fi0IkG3wipfYwbHB7EISAolVZl+F2BHcS2GW EpIAIYn1GIS2LM7e05NMd9Iz/WGm58t8mefp+b/vOXXqXnEkg9NfRs/z1r2q W3epU7/6v+97Vg9tsOcFI6ZJ9PrAur6Uag3BtTd/o2UCnNcqtAbHwM2AT5XK HJ4mKQbTzuk8mKSclRyvscKTkOf4b/X4PjQpyNId1GyHNNsBQ8qoQR+kQWfd zkwMbx4ZF94Ee/cHsGfjwu/8EI+w934UF/7Jc3GR3aMDMlSzBlDIzDAfGStB psdagHx6nA9y44wYkL1FZNy/AOS/QKP/Cpj/CpD/9RNOCN8iXZ7PT99O8npP W31QPMbw0rcVxUvKusXS1aC4PIrkKtjWDtAMkne1u2n5TW76zCZ3AmxiYZOb MfuKmzP7sjt9DkgGzYUvXXLnvHzJfeWVRvfVuYg85jWwMr+HkPntVy6686HO b0KdX4c6v1pQ54xPr3fGwsakXWSKbYIYxT8yVSNMjyaKKQCBQidzvUc6BcgT GpldX5xlvEwnG2/QZQXwohVdptmeTQDLSbgCRDCPPL/MQ2svUU2cxpgg5hgj IBejonU3QxLBqZJepjY3Uc6cj9ecXNA7XRrHIlM5QMlRuhyS3OYwt97ShpYP MFX7+VE1kPd4jtdazeFIkPZZwXBVclz4feD6/j8A0R/GBSSd4QXPx0UOQWaP gsxjMrmL1I6VxHqyy7SOD9DCGNNpEZgZ+ORLtBwMMLUAbj4CC0D6F0D6F0D6 l0/kSmC0/CktOn9rPjP6918FzyfEkpJusaQUiJZ2iaVlJLidCCqA6fpOd/y0 Jjd1epObNgOWC0TzYAVN7iRgmll4xZ0667I7A5jmA9NZRZfcoqJGd+5LDQh+ G9y3XoHIIpt7BwL7VlGd++bsOpxg6oR6lLHE86KTAhRHp17kyIHkMlWRmXoR GMrgQQXDIRk3AEjK3Ro5BLa1hCYaMOSQwSYMn3koDIP+pAhz2eTw1hDx6C39 xyYD3lOSQ7X+q1JVdrlBuXjDGV4604EAOYDwNAcHhGKAP0RpqOXVyBGLJ3SC 59c+e0lfiP4L6MXMH5ERxDFvYVo+HwLP5u3g8AcQzw8gnD+FcC54Li784Qtx 4Y+GxUVOAbvwWBZJwo9xjEIxoEn01iQCj6yahKRNSOI+/2cA+c+L5EqkbG8x iN95OBDl6NnviSWrAGJJl7TSTsDY6Y7LuuKOz4blAMRpV9w0AJkGINMB5ATA ODn/iptVcNmdOvOym1uIiHbWJXf27Eb3pdkN7rw5DYha60kbnQmT6530SfVO 2sR6QtBJBYDjCMI0DaEzKvWi5ZGoKGR5ZBITDBByTRifyxADf/01f6bVANcZ 9slx9/Hii/VF0TM083yixKFacj7sryks+fNW467N1r0vVNQ3UHKjZAw6FalJ DzCHtOYwrT8cmaphJg5ttZ5xNIaBqDrh476ZRDKB/gvR03jFpHpTFJOP6tAD Pz38wXet8IdQzQXgdAE4/Rk4/QicfvR8XHghOP0MPJ6FnRrH1QnMqWLUqZ+e 6ElmA0fg5OVBKxNr0ypauF2I2cZ8NvfP4PXPcrqDN5OSvgqlQbG4uBsGQou7 3DEZl213bOYVmzi1vumOz2oCqVfc1KlNmtSJIDUj94qbnXfZnZYPb15wyS2c 2ejOKWxwX5nV4KRNamAyPULTQWiaJvQieXAiFGdHfPrBKD0OS5Fa2V+5caro SpZGlQTKjRO1jfGsmnRGjxpYVfpJsOoT/t4DUqvmcfwNdVNqJkpP03qoEWKJ fe0phgfXO3J8MlzgpICPbD/dAHHcb3eOHEhHHJcWIFT5I8jj52h5tby6guiq sKBBKe0ebXfEI28TFLj3y2XIj4p9RClmwHZI+MMngCdQ/Rkc/M+A6sdAdREw XQJJXTIM9mIc1XRFjozjGJRRJUwvMqYEa5DjUbDqGa+Exeu94Vk+IwxM//Rx UpQePCSh8WLxym7xycouN2XyZTdlymV3DGxsxpUoUh+XmpoNTc2RpE6CtmZO h47OgEPPveQW5DU6Y5GYj5/Y4KTCSDeZ0okeoRcloWmSUOinItSPMUdKQm16 wlVbtGkI6VqAeOKSg0o+Dw40v2GAc4CGs1uf65MPCOffSzh/u4FSIyDq3C5I dM5wIEgrrvMq1f0iJ6fA8UXZCYBKsB4HrGFytyfZ8xpgtbjFwGKHzPtOZPdR YxsyKykzyoLJL/FRfBqqDZqof5SXkw8ri2TzQvL088MLgOVHTwNHYPkRVHQR sFwCLJcByRWwpT+Oixwfp9MiibtTNz2RBZRXrSIwCchcbfD/efTrASUtXPXV cewnPlnR7Y6afMkdrSyFrAeW1jfY04/zqISlQ0cn51x2s6ZeclKQQo9BKj0W No6ohJEXJyqZSHqeTpp5UWum9Oh1NkFps0oGmcgXUs56dDKU8dw0wDVSnnaS 2ZpQFk1qCGv8u169vDvxPkJNpdUrobb4HQhNcD6fmUjP5AwSyHdAKnEaiUxB chAJYxuMnAKgBOxJAFo7OWATrdgNXqUjl6ply5XZZZZ0QgUBHrikf/EenxN9 PuM1jcxgv96EMiQBr+W3KJnUfCo22Q9Ygx0HiP7UQxTquQiILgaiy4Do0ucs xnTpi0AWmCrHLtWgjuC8yKoJTglTzwAuh6TMah4DatniennRVyI0EPn2sw7s TOSJZ88gNACjNkGK+N3HVKE6Dqg+Kt08UJ2QfRluuBH5dQMQbZCI4vk4PJI4 khtPZ7sIPC8i65F4yoCzjvCkWiGCVPKZrPhMlnyScsqqU1ZOW+Xk0q1L0bQ4 R3dGqPpTxvTbBky5tilEmD6UcuLj7xQCyY1F4vcbafBLA2dCDVF4nrkfT7rm bL1FAtH9DmwZSx7P8pqyjqs22ZqJQdsH0GuqtQaoVq+ofbKhwBPNoIT4BH3q lxNq0w+lPIkQ/T4QfYbMCi9RiC5/QeEJWz48LuLAobvT+H5wXCLUwzQQRSat mEY8kkEWsH3I3Nyb3eydj4U7amKDO2pSozsShkcidNIl6+/clEmXlIu/5Gkp pPQyMeoMB5UjYCNhHqFaQEHm+DQZYJJopqcrOgGdlw6NSmPhZDDrqEYIYtoD TmJT1hml1/udCNixU9YuZTMka5BGTJDVSH/fJ5kPqpjqtnXugsw/gEyYnIgH d2yDmg1cmc2+Pp4AJTzZovTTlgIK6bRCkWPQ0yOTApHDsEMT4XWZyBMys87y Y0gv2/a6xxxlRLEdRBzyacdrBFkkg1KLWZXDfLTy3SyRTKBNU3VZAzWCi6GS S36oVFLFl8t/HBcuBoKrUwLOBYmgTQzi8wAhMahCzYszlFsP0FJoGsQQbZ94 OBCld3JHTqwPYNMQAI3U22/0JOnHx0xmgXSGp1L9NqizhoAVyR2rInGXJrkb n66YS6tn3lI1c3U4ro6YIzVMU9AFGDoFHFetX+TaIFJB2bBfr3OdgPbYFkuj 563I+tMO1YA6QpqV1CeHPRy5qda3DyzFHzYViT9uKqLqIjknms1sBry5Y53P OPykLbwdQFRwWoymlSijUBWBIl3SUB6eGAgfHG9J8cySmmnr3lk4c9Vh1+8I cDRbvcZPtYRylKm08hiLLzn8E14dgpf8WLasaY3mNtvI7aDwx9+U8vnh05BO sLvsR+TdwbEKRIvh3UtHByJrxmh2LYaX2cUvArly3RSyeUn9iNWHrG+XGpso Fi3rEguXdbnJEy7C6mENxK47Eo+jJjTy4+iJlwJM7SPOCPA6IrUBeil7ioyC jQZcKWlUfU4pTj1zSrym0iNYHQeT3Lo43sX7XEaX6zDrZD1myllJbUiLI2vD QF2p/t2HodDU28FE4bdjKRT/uKlILpsU9FEMOWenJTqfkU1li0QyPAc+0NfH HhgelSiGD6XGhQ+mxnkY2hrDgKoC6oEhJUiMH1eT+zjGhpT9tBOP17rp8xfs oZtOLH9fC3/8rbjwJ0kwRJifwH0Te5wEQTtXIi8vAXtlKYHI2jGByDqZmzsX IJggkAAMUv1aYm/Mje2dOVnV2Y94EwuXdrrJ6XUwcJeuuCOjqO3HqQ3Wt4g4 WAMbMZecKpkjrRydKnkbmybTamJuPGuk5G0MOGPeUjVzAM2VwOH1YSmfMYIM XVB1fyInjS+IquMgrWzkoFHpotxG7Uvg6NKdPL3VRGiQtv2J0AcVRg9JhaNa yYu35J6jW3zmeuvOAFOG1AMVx9lM6ZBIOCPWj0cn7GA0fDgtjhk9kRbnZ+zK d9u6kx++u3oiN92o/+T2sOKV/5Me9n79jKpA0r1nQ36qHowJOKPp9bN2SW+A 6R0S/ujbceGffttiepcq5STPv3IYVHMUyCXlBL2VoHeDT68qtcs8yAMAa0/f /yuTnACKmWTx8ZJOd0SaC6tzRzDR5IUJY8A8vt4ZTpZKjd6AGXne8PE+0qOA MkkoI812kZEmjMenE86uhzOFmS4izFFmmjnSTE6VDUGyqUd2jaLEnBD9Xg9E J3JOjm1A1RotjKrSNPXr7Z3YENOqnFLkdIZcKZGlIqAKPWoRBBTEWWoeJ78+ hFCld/AjAevBqkCVkKaxkIZr8XgYgnoiukqJ+1mDqv0TZJs5jzyD0V7VayAW VtnSLmve1cCFqDTdzCQjibeezk70cjZLMjk4/P43rPBCePQlXiQKJotfAI8j JY/l4LGC1BQevSqd1Vx6GJTJIOLP5LH64C9JlTnxB/bYPiIGgQdxd5E0lCRN gcfYSfgGxoKXKn13CqAj8MYq/RyXLqEb7UEXYuAkeHVsgI5D0ItehWRa/UDC LYGzGuDWwn01WrQYKoEk3rgAJnLzN7bc+Gi6Ayv7EEjgFjmjMJOLx8brtYxV G5D3GCIAbefcNGp5Pj0lzhNKgk4KZaIvkODtGBg7QpzBjsOOgrvq8XFSDg/L nhmqO91eEIdHVQF5iPshHc5k8vhIPj4kGT3q5UNaGwPajwe1Ivp+nKtTg4o6 J4o6WynhT+HHf/JNqYSf/IMkb+Xz8N/JgchqKGH56IBTmZrobEhLdDanJzpb JkjyKKwZQtSZujcr6lIMLz3J23ixcEksdZn5LUCrjviiRpfh4y9C9C4SgWxg kEhMpXxjBHik/hMjJXs2gYe3jEkll01hotY6S3IXkELHLrxO3sy2buxm3qje sWEQkcb14fEyHvQI4//o1VbTLdYrYHJ1wqg5zXkwyFW5BpyMuskgcE20dJFs +KZ3EGWeM6bEBdtBLG4qeQmfTLfI2zJkBNgBwLVnfFx497i48K5xcc5+2edY 61a1353eUr02a3jgCOF3KMoOZ0bjFlXL3idpttY3Ji3gx4lDwm8/boXfA1+L npF8IU+JFA8POOVjEp214xKZrfWwzeDrU/C1TfIlrpXTdHYPz9d3lap9DL4U V9LyWli86nDW0DYJFxsDRq+Nr7fZwYYkYeM9wi4yYIQZ8ARZKIjRXhpCdKlC Hum1D3pxoGofVPXcVrzKnKPqvTl0lI3cLHaPEYHc+tKPmLMN0SBjaCoTE4be ZFaUHau1hojGkLcQIa3nDsOjXJZQ1l+4V6RRpEN4OucQs5/1zHO5/SIOSAxP sJhCInAnCKwCfVsm4VJOknpm9XeqJiY6W2Gbx/OwI+4VTL0pqbewB2rAhzLY E0qbqAz2yaPfbBOI5ZH9rV/tqKGEq13xVFxk6dBApOSZgLNqZKJTNjrRWQMo KwHlOgC5CUDCzbo7ZyS5u3OTYqE0xTVfCmWAoHQzC1rIUNTAEvd+Rn4zAKwD iHX0yJ4XpRYV8UnD8xHUaQzMjlR9J2yq1EYxpKS6PdpV45Xi1emKw2Ep50jt Ah6ECkwagaTqEUdyTwtZrdMYIhypXruFnW2LlkGWRlMntIEPD2YgGkwroBYI agGRLQpWPA8RoswqvqIJr115VRE6N8k5DyLPTfezFjyGT02O47R5X3qc1L+B HpHaqmDrgSPt3wrbocbHUaf1vTzciDu2ewPsAtzj/aCehsB30UcyZTBoa+8c iO2G4Q/064Gn75ijasW/TgMLI8ueCITf/jsrsuQp0Pn9gFOSDDpHJTrlKYlO xVjQOT7R/XRakrt1epK7Q9Lp7o0idNDfQOiy8s5oQgtabAKUIkE4TudFYpS9 MosnhYbUCj0Cu5hL+k+p4ehUCvwukEqSF8ZWtrYkc35c77yQcl7RNjJdNlEH fRhlduwZZciE4+OEI6UaLQN648901hW9+WdZacPu2ecv4La+miQZfJUUkAls eY2WFnyNF3N/jfVSGrttGtx5jqvUzubqOhaOMdwDM0k+ia7tirStNNYY2FkD GMAqBeQWHLJtsgJRjaDYm6E10rJ9lfRGX1jeWDnltz0e1Yi6o9y2revSvazZ 1hmKSSmtxykz8ZaKYxiXfjsQfvMbVmQxYCx+GlI5ItFZDRjXQi4rxyS6m3OS NIzbYbsA4x4Jo1uTn+Qeyk+SQJrGOH8ZkLZYXt4ZZBjj3YyCZmJRCub4875g gkqpmsxjDyVEJjG+TuUbMuEdlUpUXgg/P/K05VVwsyYCyVjH7LPJ1TYaS0a5 MZGY/Lpm0tQjbcDDM8kLsrstc6UG8pqWrfMoLyEsr8HosRUQXnuNH4Nu6+us mq/L3UCVSLUJVHLnryb1KJBg+MTUuEhNdoDoJLPd6pl06H78u68gydnG00UA VGuwswGMKmyliILPrYrV7cTrFCOvSjtBaYAzG2IzoCWyVy57RJSyK4h7Tq12 zIv2WI8QleGPEVW+8U0rsmJowFkxPNEpTU50109JcjdlJrlV2aBxqqSRnLci 0t2XJ6kEke6RgqSBXwHKJ3kbEsvXdBKZnrmZMxFcEqYBolQ69chzybWg0iVO gzK1I7VMgFrWIX2pU1wSkxeISfDoWCGN4oUYFBs5btSaaFGdTGNCLICP9Qag 6ST7EsW2tVIUWzgEbNWiSPRde40XKn8NHvn66/TCtTewE+zhES9gi3e8kSS9 QILbBBqb3oSvnp8UcfICkRN5AbemkLGzmDvGzgoReO5eZZXpA30IA8Qb4hmP tp2xxPHwnF7VMcZVZ0W56uhIkvdxo05MG6LsgxSgLsWxfTxtIjIQRWRkyROB yPInA5FlTwWcpT9OdFdPxEmAxo2g8VNF4w7SRt9Zu/vzktzqfEkkaHSPzUwa 8BWI5EocBjJAFALCmc24hApQ/7YngXQBnxJNSoTYRpBJIAk0lSxfCL8wygk/ lywFkp2yr37OC2MuUHujrMT2wEyPUkYKCaJgTdCpDbWztHyrt+6QX5nTuYpT mxBlOoPujdfp2Ru8ztCbPTVwgNsKKFtgzcC3eT7sHbjz95IiZwoD7sVFSeLK ajkavpGmAtKg2u4+8uhu5YSBmtZ9vLuA0nZPFbfzpFMgFdzumqLDSl8hPWSD Glk9OqcXYG3dAd3Qm8115uD3nZlDJ3sGqH4WjWvgPlyLn4Rofj/RXZ6W5JZM SHLXTEpi8dwMXLfBne+EO989Q4kmrBqoKlfOFw2ouicUrqZZE78MV5vwtMUK 2tAzN3PW1aASjAwailN4xc2YeSXy/EgSUDj61AuR50aeYvfu2s4Irr5OZsU8 HX5hNEAdGQk/P+q0n1mnS9cNbhWrXlOLopPqsv2n7uQZLVzV6EeZKunx8Hyi t35oXwXZlmhkSUHnSWm9zvHmDfLdN9ml33xDcyvDyRtv0TLS14HrNbK3pLUC 3db3YO/jcxdAaz9OchuW+Ahf4tmsGrBNcPcDWPbzM/3HdQSzFGHe0v79hdKq SasL6XdBtWkUZCzFXv7ea5qkJi9hxXVPzUlyw9LwgRFi9vQcmk5xDu5Xn96z Znqtxyi5ccqeSqSJdSNznwi4xelJbhm0tkJp7RZo7U5o7Z7pClxYTR6D6x6G HS2QAANe92ShbH58SIC/4wFMg71JZVes1aZSHzdr9lU3a9ZVwpqigllN2BQ2 WYNpAE/k+VG1zoi0885w5EYj0lwIZV34h8lO+EfJJLjEskMsswAT05plrqL0 cnbN9UgeGeG1KEqSZ1Awgm0/HR881dtonR7NNaaVSvoIVaNxdlvnJnlEX5/H NLs3QLS8sYM8fEoNnXJvzseht95Osoa4NwHvjbdhAPg6AL72U3wSIG79GTR5 cZJ7aYUCeTWDTHos6mEXGep6mosHIozPVxR7FpC6vN8Lb4My2gXOB6XZ7qFC ov3wLESDsKPKjs2iMzg+i147MTvJrVV2kowZPUXMhmljRPi+eEEizJn5Y+EP H4tzVgxNdJeOT3JXQn9LDfq7G/q7H/p7APgezJPoHoEdK2Dd5asYxllECpP6 /00Iy65TYkUFcixAC23Jmt0EdJuI0sgLo06CUFCa7oKwOhB6GnSeZtUdlvJZ +Hko7/OjT8sazRg8G51hhKd8ztVJ1PSTHqXCJLq5lNQB0/6EKQWqLT/oDVPT GX4Zl82SScklNFbenfHuTYSkt+D1b8OEP49LgCa9sL7G017cgt0EkDcB5PUP YATlh7CPAOVSKOwqM5R1ZUUBUceDgsGnWD11KMPJiPYAUtYNIBgGlTWSSKsv JG1GMugeB4ZRWNrEJZCcbUTSFBMEaBvPND7iFD+FKGCcJJGD1skQ0gwErVlI n0DiHpBYDRIP5t5HoXsSBgqlZzo9S3YgekgU5WABqRDOuGmXCEXPQmJFZWeQ ntlu9pyr2IDQRI/MyLDRp4hKJ3lCHagMg8pw+IWUM4gHQOno0zzXQVBNsCRp ZLGU4SoKckpuCyHIhuc+iQRcC0UCrU/31l3oQXH0Oqi1yQnlogLQfp4+ujfJ CMnXY5C03TvzaVWUz9VsLLfelljeIHtfInltgcSyZSGwXI74dTWwLJdYeki6 paST50qoM+KFUv6fCBVlU4f6GipdP+dg+wp0cODFvQc4KqjxpZMwdQ8zsEdI SI+yZIJSYpQ5tYlRWwNqE6ABN0zPIrPp4NPAF5SSWSZUmc9+vH3cKYXLX4t4 tThNuvt1nlbC3e+Cu98Hd19DhEIrjxKhsBMFitCZrJMEKF/HM7PkZyd8BVq5 cls1qZF8OmNzLpPfx3+glLaVIHcdmxXP26Dc51ONsHdthzUICJ8AwrWwk5EX R5+KvJDihIeNAb4pENiUiDNqYgPPCzZqgnwkkG2JLuHM+GZIi6d/QsRvvOaX SG41yWn8w/D7LX172hyxPiMFlby77+GZ4FtRBNPkWHcgqm3w9HeB7Z235URw ND3FrXdxPOwW0L35IS997F5fnCRuVRSJq0D3bHGR+Ax2tgSPMAcWWSUf6X+A LM7DSoCvh/JFnlyE5+lrkGIsQ1hfaQlSil8TNL2KYOLXk1pweExKLEGsZNbD OEAY4zVwTBh71ivOIdFaXiT5/bpTAX4rnkl0SxS/VDVQBX53gt894PcA+D0E fo+C3xNgtzaK3dP4gQ7/uDN0l/G1PDtbMhzfW33BmN4ZflxfUjVxtDM2+7Iz hkHuUiDHR4MsVqzvFCvJNgBePMFmHWEMugcpujt8W9vhJI8/6YxMPQULIyaN RF4c60SGjT0dGTYm4mYWXOWGL8h5Zl4znmbkNrsjUh16xDlmEMigGS9MkZEs R7MB2gY03BTXtj7XW0+5Ht04HzSkfVzf3Lav2rSgeUz1AsLb794H/u3X5cy3 BP1d2D2Afw+wt3nwR80M9zmAv7coSfx8Y5H4xaYiBr8eEJ9aViT2LywSuz4q Evs+KRJHVhSJ2mIF/yoJ/8qcoXQD2OJCCcEexT/hHyDybc72ghzo1hTq0EJH Fh7y92Ef6ok9UY8P6gt70QJH01LOBkEF8QnM5RBnI4hfB8UuTU3SlWGbFfH7 EVMcRExxBMQfA/G1ID4M4iOSdkV6yP0Mvweku+fmSOXGo+xQb6pP74P4r+sL G8//B3mCm+WerSWWK7RS+9DbRDxOcuVGZt/7b0MHNus76C7osAaIlZXtTnJq LWA/icdTbkZ+I/C+BLviZuU3EfBuVkEz/ie+ifmgm5HnMd+iibcJ+JCifdKM FtXpqYWZlnL+ooH4gIF401Laa/ssmASf+B61EwO5doLU3gg87C7Uvk1B30Gz a917h5bjaQPvnQidf/mzJPGPW4rEn7YVid/jsX091Bmatxl5z4pRXB0kqhYU ie2LikQ17oEjK4vEcXB/CrY0eyhzf1YJP7DvCT1Xa9iafH+qYpsDlACTruJo GaMo0k/0IF3GKaJ5NRhuoeW+WohmjfQjzkbgXAacy/HDNwLnrcB5N0LkmmkS 5eOwkwrl00DZwRefIYR9jN1zdOucn6N0nD7YH6/UB9WjDS8N0TqeyP8nyMlu NNUwL+io7LSkXIeklhPLmzpF8aYOUVzVgW8v3txhDZH/b2r3bSNsQzs4b2fK R4Ly5FSKVk6AY0l5lqQcpZcFYY/HcyadOJeE5zHhHG2zpAeJ8BABzqLeSlyT WdTfoHWkgXD7byB8sC6kAX1r+uPujXkqFIfdBuLi9Si8YfeAeDsQ74Se/xxs f/F+kvgTeP5ncP3XHUXi3/YUia4NReJKaZG7Fn5+UTJdZfrSRFH10yKxBXzv At+HoOtHwfjCzKGs7VF8e7qu8S5lvHvQHWS6aUZinA7PSbyaDW/ENt5AsEz2 BjpbEIKUj09y14LgLSB4N5K8atyKRxF+nFD0RkDvGdB7hnzGWb5nAK17XkUc Qd7G0mt/BXoHaOkZSM9sghdhRyy+XR6+ml4idyOR20nkiuJPO/CLire023ja Tk+rYtAljW7nyURqw8+POgIqG0BoI1gFuQU0jUmTm12AUCQr/yp0lsAlaAle hCM9oLUJWhLoVoqyW0fJgCMa1d7aek1kJuoCGKyckkematCQ8vuYll9Pgm/1 xiesHYx2zE/ikSj/VFUk/ry1SPzL9iLxP/YWif95FNq6sEi6wIFiK8KMXQgz 9i0tEgeB5IcZQ3W4ES2556Xs2lyrEfSQ5OwyhkpeQSFgoNLWVPbXVPYjKiVK g5wdoLICuroRVO4EldUIEY6AylpQGUZ44Cgiz0JPz0NLL0Cs+/fAkP4z9Tzq g8B+Whq+Jp2hWLa6Gxh2GyDs8kMDReBKn0DiT6zaBtvejnPHM9piH5AkIElf N7VbgwHlPWfs5BPhF8cdcVImnXKzZjbyRDrZIDF7JpHINBKMFCC7yWmngSLo RLhALGIzOdeLDlg6Z7BszmgdSEAOj9VO0ktj7/s1fRbGo33QKKUyPgZFigbE a4yi7d59AymW+GJdkdsOGjuhlr9ExPtrRAG/X5Ak/vt+ZCzSd4kwUDu8HPgt KRI7gOHepdL7vz9lqDiqIl86xoCi9aUs9qqQzGKIWEyMZVFWzvZ3dj2d6G4A i9sQsu7PQHgK/34S/j2CcPUMFPJcfhIuZAx7fEIPqX5BffM/2pO9aB/eg7sV HnebOyR7W2BbFXs72nF2JbtIBEt23hMlO6St2n7PxgFt1mNi1dY2YNkGLNvC oyYccsZlnnRSpoQjw8edBH7AcOYVN4cwhGWxXXVHpp/mAJZwzCDLu8oJG2CE 985tRtCa24rwdUZrD28+qAeRnvc2rntjItIvIlm2CdGe22tu4JqIa9xJAUzi Sz0nrkRS/KKyyP1cCaXnxCGQ7s+RkP3mgyTxX3cQFP+0o0imfI+IO/Dg1ygj K5dVDsfhqQ+Cy71LpFS+N2koc3uMGMVrETOjfyOiAUJ0ICFKORZ+Sqs0mWNJ WAPuFkQZeyfBfWeqprEeRdhHxcBoVcZRL2kFkOWdKJaVdSsse4aVXbpaYAVX CWzqxOG+GsIkkaJkNyjc1yZKYfRYsrcNkO5psx7FS/h3F2xHG/EZTs2ocSZO rXVSs085YzMjkRFpp9ycWUSkEsdCIpOIjLiZeIyiEld/Sh7VKmTkt+JZKzFJ 9Qe5rYlE5gBC8ccqiPwEGKqT7gNFc8FEVeYSiGSWrcRxLmdKc5OisyXRXVHk u2sYkwiDTIr/sgXXEXkRiuKPiCL/+GmR+APsV/Dc7WDwdiWS6jWABlicL5Wc EXPE4vuTh4pDy6R+Hse+k+DwtORQ1vTa/6kIJhJz31J80V9f5RfNF5ei1wF9 aWl3FFHdNiFlfc0HqrLrPp1bWaV87NYOSdMu2N57orS6TZTVwA7etfHkrvW4 KDtwF7vvALS74Au28244I+eAk5V33MmYccKZmHPKSc0MR5LHn3SnFl4CTVeY KNK5kROIKErUm1jjMgtbdHcu8q9EVUaebyCMWw9a+xFdQR0QvhiFmCqm3hHj snmyT6BsWtfT6i9pitY1pW1/QID3xypGB+WL/+CZfo//fwf77WaJUjdQaltX pGtXKWEmqToFZD6CqyV8TqwABbUr6ENot0OVr6tYyWQ+EhJ1JUU9cxKZclu8 UAr3MbjM+740EOyB1TcJK9MCdqYEr48qHq83OVG2VFJmUU7RbT0ttUthtpwx 6/K0S2K2udMXrZ1AbI8SrQNA7NBdUXb0jlgNo8eyI7CD4OwAsQbbfcfJm7M3 nJOz35mRd9TJmXbMmZJVG05OOxZJTquNjEiFb511mf3ryAlhN3sOXGbWbOpo kjmrRaJW2CL7W+cjUyajYSoEWQIxFk+M9edIj4cH66xY1n6GNG3eH1Fnqt03 5SDfVfdmFH9Mn2hfW2SrZlMeEQf8xO+Ak2e/h/1hM/j4/Wa6yr/bLHf/dhNP +bWJRsN+sbFI/Bz0dYC+uxCz2yDwOgSNWk0vgqflWUNxhSIrqRKbxMtRdkbV /59bpWWshJtTPfZK76vu8YWM1/4Mas78II9he5xgCxnKwVRDrGAzDZuUiUaC WFrS3VPW5NTZa7vwE4Ebpa1d1rOatOJPYds6Yl1jNQuZKDsMso6BtBN3RHmt EOVHYYdhNbdF+b7bYvXuW07hS7vCM6ftcebk1zgF0w47OdnHnInZJ5zxU09G kifVRoZPqHWnvdvkphQ4bvbLzW52UbObRTa7xc3ycJspccso0LgBNqpl9JAL auR4tO8/8GxbxJlpHbFHDPtMleuMWoAVLuQ2v4IILsrIe8rZDMVvN5IO0eRH CijaY4vfbCR1+zV4+iLKfgWjhcI71/FqwkKA4RtrZI00rWi5JmeocImjc8XY nF9FHF1YJasRZSJxgdlySd9KmEtLzukd5OUYGmXfKbJgrLQxaAECLUighQi0 BA3aowRawgOWlgLNNCe7jMR+yNMF9wFbrLJtgHnOE46zeDtUbZdStf1K1Yg3 KBkxtuboLbH22E2x9vANsaYGtg+257pT9PIO5/XZO5x5+fudomk1Tm5WjZOR c8RJnX7CSX33dGTUa+HIyHkRdwwsZz6S1rlUjfJyMykbkMucA7SAHalcBrDL mMnIUQtPPo0oyaOKlbzWoIrVJudy1Mb/Kd86mSFUo82Zv3hDEX3dsI+HG3Er O8+naTN18SRqRB5N9cr2a7INuGy/4ZkKNVy04rz41XoaRfNLWgs4yroq5YLb tPwpLQVJ6wqTi6uYOpQmgRd1qwidC3JLddW+sY7ZhJg3a3yjT5gVjNWxQCxe 3M7SX+P1dcKr/wMWhsJrnC6Tb8oyAVPWcw9PlVKw4h2Kqr0eVXfF6prPWa3W HLwpKg5dF5WHW0VlDWx/i6jc0+LMm7vVeWPOdueN3N3O3JydTmH2Lidn6j4n d8UJUVbfTmtou1NLGyPDXjnqZn9Q72a+0ehmzL3sZr5yBYb47GX4zsyXqP0k c04z6ILNYrKAEkFFMhbgdvEYlCwWNK/ChIyzVmpvocBtRisN42jl+Yk4eDPd uF8z7DNNZ/2ULNwv1uE6EkgBRurX0uCtaRuU2gX6fgWkfkmH/oI23ZVFSKO6 aBnqCrkkNWF2S1ayik3ThrKmETVArR+7xRC70vpS35R7lIAp+dKhWVDrVyDW UfYAbAgBNuABi0EBlmp46TEp+ktWdVNo5qOmQrMXJGoVCjUOyxRqCMlWbolC bTcJGIRrLxzkPojWPojW/huiovqaWFfdItbXXBXr98P2NDmvzq1y3pq1KfxW 5jrn9axNzpycKnGh8ZrY9zshNt27y0tKr2m95475uNbNWdroZn1wyc14DajN uwzcrsCAGtkrVwk5N6NIsQYVmwKnCdTiCbV4L830ubIStWp9R+G0stt0ow4x 7DMtEDRU7mNQlGzJuaoVRLRPgcQQ4dCf0xLmZBV00Tspg+ClzYmnO2qt+60z hvJqtiRdtOhbYwnVLNDqLCxNIen8SnXOyBIV0gSpdXKbVFwf35tODSKMBj3g 6SuM0gwvPepjNML3hTGK1c2KtUwplkZpYxev+iBRAkLboVQ7EGftQFy185ZY swsI7b5G6iTW7WkWG/Y2iY3VV8S6HfXO9OmrnPkz1zjvTVvtzM8sF7+qvyyu /KFFnPhft8SePwux8Yu7ouJem8it2utOW9vo5iy75GYtuATVAkavw16DzZM4 Zbx8FeajNKWwWTlDwBQimOwooZri+0LWqME6w3xCQ5X4gKW6sTeo+hMzRJYv Q1aUDg3SOkRG/FB+cFfxsw383CiXKyK3qJXDwZHFS7Fx6BTl3nj8hI7VQ70B FDIANIAAMp2WaZ9MC610emBH56lPcbfVT010L7FZej82NjGDSEv6uS7khFTF Ct9WBWK2gJgtIGbbLdhNsWYHqNkBanYRNRAdEFOxs96ZNm2VkzNlmZOdukj8 +4kL4oubDeLyf7sqav/1mtjzu5tiQ5sQFXfuiLxNu0V5XZs7dVmDmw1ist7q SU2TpAY+L+MlkFN0VQkQyCmA5TczOEEPnJZewHnUkDZ+UyM00FCGgw37NukC /b4PTkiHRvfrzQCqt6Boi61tjdSd7WDmpvJlXtgk6whAToBW7+OlKAOxqV1I hUQUXccE2/101f1AgsQU+ZhORkEy0fCS7AzBuCRrXJao+oSlGhdYRbdc/YtW tWOH1SnbGzeBl813RWkVePlUiNVbwMtW8LLtuqjYBV7gqCqrm9zC1z51cqaX ONlTljuZKR+Kf9nzmWg/XyfOd18Wh9qvim3NrWKDuC0qW4TIW71TrInccad9 WO/mvA1e5je6mW8iJnoDyvI67NUr0mkRKy83SVbmXHWnzL56Hy8yQIKQyIxP BUot3M9qSnRQ9Bhxw83xNHSgNUi0mArTtG+zYR+vxRBPxAR6OKkuDc1AFpl2 VRHhQbMjdygHQNHgtMhVeLmPh8rKLpVFhzvaWfXUmqYYZxVPGMXrNnLGyFTr ZHJgCqNJhpe+JjFaXNxtM0sBzdESDnxAkvViLEs6zqZudtRuDY423hUlm8DR ZnBUJXVn7R7oTs01BD1XnZxZFU72jDInY+IS8e+Hzopf7zwjbh48J04114t9 Fy6JLRebxfqWW2LdxVsif8l2sYZqEvZ+7k57hzhqdLNJc97qhaOXaFUv0hxw NCuGI3DTrFGyiSRbdl2aTG3kHjocT/PgqBChYwoaTYVaZdj3fVmav2B0KjU6 FdHoDL4PHfJTu4AOxc+iXMbQ2l+t5gWcCQoOZhKJlPjoqnDllvwuFUHdpSJE uMRr12Rq9TPJqsJlsuEl9mQJChekZMM9VNhLsez0kB7qEkE9corX3ROrNgCT Dco9UUCzH6kXJfLVzU727Eonc1qJM2nch+If9zri822nxeVtn4kjcE27jzeI Leevig3118W60zdE/k+34r14/z6FydvAZL7EJMuTm9eaZEADRKYoqdGYFMJm RmGSz+k99dhkTnJVD04OlKmx0I6FJUHDYqohMRXpp4Z9z9DWJk4YE1zK7p6w cNUmxMYjhWw3SPEi49tRtFz3IxxbKo7HTFAzE+ytGw4z04+YCcQyY+ql0Acz U/ic/F4K7LrVgijdkDnaxvvuKtplre6WadazjA+NUFtZAWwq26As8FLbkErt kfWLa47eFOXVLU7mrEpn0pTFTnry26Jt2ylxqSosIlWOqNl+Tuw6VC+qHCDj tIp1R66Jgvc+hRLd4FSsfC9Uas/nomz3HQM2V3REQ9hMUdhMicWGY+HmaO8E o+c8QsODKKghUsbp1yOaI+7+G09FZFJyU0a7RZfvs1JqKI55NCb67YhWl7Wx zEQrzM0olWn1lUbSwfAk6vw7SPvidf7d39DUG6/7HpomMjedi0Im0/DSICkz KBjg+UmxJojIYQ9l/Si67YTbfGls48oN1I3lHrWnibL9d2SN9NFboqy61Zk8 Y5WTnrpA/NvZ86Jxw3ER2XBSVG+MiL3bL4hd1aDlFLKpI8iqalrEzPeqEPsg Dtrfg5hd1FZ3DzHwFaYlE74o89UmSUxUTNODGKKlgDqPQ2jcyflMiOVVAGlq cnkUZK/YJMhnk9QzBqgfFZGp0c6UcG0z7HtWalAXSQ05p/je8LGJH7k8uKc6 kKgbPGf4tShfReFOM9cQ9pAgPEugfaHY5g6OifkjnnzA01DYZPWGjWzSZN0h flimbRaeYRTh3C8+Hkflss6QM+8990QpNdlyO9ptUbyz0UnPXOyMH/W2+O2p z0S44qiorqwVO6rqxLYd9WLr/kax+egVselQk9hwsFkUvrdZVB4AP9WIp/fd Jiclyqidd/c9roekSiKuLNrayfxkzo3i56XomLin4gSjGVIRTR5185NjEHL9 yh0fGuq+2sodrxI0NKZ5AU1VP9sN+37E24S+1MaSvPSXimNQneu+8uBYbvdq VjoTktoTU6U8QLNiEytPPeCvV6xkG15iJ8ZLz9iakICvL0MRzNA6nLT+Jnio vifKjreJVdCGZVWfOePSFzgpw+aJ24cjYn/5EVG1rl5s/rRRbNx1WWysgY4c vCo2HkaufRBa8pMqUXGAghzoyH4hyvbd4cpBj4VVHgtbZIsbtYSAQ45rVX5E 134W9Ri53wMpHvJieVD1yrGy0hse8YRHUKoL8Eik4jCtAdDPsG8H6wftkouI J8YEtuR27qrcKBqE23QZb9HmhtebXMMQUL6lWQW+wMBK1MLRT8PA/uaZB/yZ ioMc/WtZKRLp6nOEEiAnAw6Ku6ynxZLVnWLZhg6xYjsuzL42sXxXvfikstZJ GTNf/LXZFe6+WrGp5JCo3HBZVGxpEuuoOm5fC9fsrqtBuHHwmsh/f4tYU4ML Xi3YEXGPIr7obdzfTV70dtmQ/6ls1KcmV+5Psp4bMbyExqb6N9+BcLRKJl2H FdDJMV1jFoKAajTwfcZ06ThsfoHOlS+yaTUNU2vCLsM+eblD3j6+xOoy434W 6gJDfb0b/obs9krXGQe00n3tX+ioPhdlsupkQHSXslbZbZG/8tkH/NHqkk8z vMTBSH9uIuZep9JhLGKjpnDaPoOkBhggv122qU0sXv+5+Ki0xhk5fK74ZcM5 cXjbMbF6TZMo29gs1my/JtbsvC7W7MY9vhdGMcOBmyLv/W0cra4+AO2vhh/Z hyg2CoGSHbIrJHXH5W5DCgEa7hCFAXc14gaHtV2aBFsBMMW/7y3Tjc89cAdq CAbQpWfgTSv3mdordxv2PW/YJ/vEhLy7WycmN3WY4N/lsQTYsiIVl3ywvrdf fMBfp67xdMNLHDlwd5MQXVlc6OXd1vNi4bJuORG/tk6xuLRDLCppEx+tuCMW LD3sDP9Robh21hEris8h/bgmyqpuImNFELkNtgO26zacOQm5ENPe2cENiWUH 7vB9XrYXF1l3FbwXe4E3qQu80bvA3vAt2WdbXWTZykSdGMt1x6Cy7ge92NLh kzMbTBfbtK6oqUvJHsO+53orVgR30S78Gl0/73KyQA+hZ6Me8KvVRZzR27fZ sRcxSNeQZibFlfx4aZf8Pbz9nvPUc+vhwW+I5eW3RPF6IYo3wjZ/DoW9I1Zt hW2H690J231HTH1rF7fPkTvWV20nbLu8aqv0bamu3MboW1NdOR5MqrprreEr x22FXTZduABft5DMbkujrIRz4BKcFMKNAXStEuha/cBQAqY+LHu5VGiX6Qqp Ggmd0pGCDqbthAf8eHU9cvW3sFzG0wWwxcLlOC1cANn/+Bu4Z9rFR8t9+3jF PVibWAhbtPIuTutznKlA6dwB33fF8nVtKEEYRLW46i7uDQTF22Db74rsV3fj nrlLXWxtuhQoOmoBK9mKCyKHJvDAL5sGfsmxjvFR91CnHriOq+HNd+PfSl10 RYJ0RbjXnU1Xwb8IQ+gi/NBQGKa+fvsN+0xe6e0H/DxV4PmGlzimDRD2ASp6 LvUQCriDZsFptwaKhSvbUc7tKGeyeziNezgpWNk9nHSbWLYWZV0JW98GglGu xZvbaOhcVZvIemkPylX2sV+1Bf6ILKasvaF1uAEoDt7QwYWuBzdFzROwfC0X u8XlHuDBUSGZmJdFWWm3ZSr8gVT4JqdiG/ZVG/aZ1pB/5wELX/Ystwp6K3yL S1/v64dy76TC77AGyYLXhd+O02hHhglb1c4XYWkpLsLqeyiTeygluhD3LBri dQ9krlx/T2QW7uUBizzyC0Vt8/CbflElT6+pkl/f4UEe9Ib/UqH7I4NlsQei i125jiAVfbQE9bgA/egC/JjPLxRdAvxHHTQPGkrHpFbvPuBFVIU+kx5YYljo B1DZ0uJMKzphHShaWHEHflxHj6Jtx+9HaS0raUeGubysXSxfDStvFyvWwNbC KtpFRsFeORR0PQ9p2tAeoGYvcFmsinPlOjI53jToTXXRyRNl+CLOkhGMLTSu wGQfm/xlhcZnZyqq9/p4p+pbMKs3JuOpoCh07aTUtdNKiCqmDvy2juhismQ5 9QMDiGWprMpUWanyysjfRzWtNo2ZDfAARBQRVdhT245XTJUddMerIqLSWhPF Xrlkz3d6fnmFdHl5zUsoNX02MkSIHb2A54cNJ24KZH5ifrsqvtmGdzBndPt2 2rL4Fq3spHiYCrK4k5fuRuHpQuygc+igsivpoFKUZVjarplbUd4hpuTuD6A8 OniiFBqaT86pgoYpo9ToGd+uti49nkdQUba8XKLGt22Xd+vq27ZH5MCdkoL6 tu3ZhYnQOWI46aGGfe8b3qvKbY7hcFl9G5S35kptXHSUO3dS9Qk2S1Z1cgti J5Ublx3RhwJZVorN8jIa/jpl2n6xYnUHlx3MLzu+CTt6zj3TGfDmXewK6vIi 1LoC5lIKUilxJQ79nu6J+jY8ajgxU0XSB/odqkSK9A5uQqYG5s5gj7MOqrOW tqykk865k287oFMGTKbupwIANrBy7/Q7B9DZ0TQmPDEv30w0V0/0eRINXSoJ iFZyhD840wz9447pZw90Vi8bDhqkz6/HVaXWvk66GyjoWkZnWCptMk5rGTLl 5WXE9GralJOHKvdUgk5MmZwcm08xqEIybf5JBrxAocQXCm5W4hv9pOFXP2nY 965+h1oO8BXDQUMU1jhfOl3PSKQ6Az1OOyAm0anK06bfX0bno86aL5k+T7rZ yztDtIte8E/S0tzyHV/W4wTZGziG32mqqHlLn2C6PMG5hoO8ZIBObLE0i4RY QRuKgXZSTjVdWoask34enVsZncdqfenoAuMUsvWXX9BYmX7ka/o42ZhszdOH c8NiQCkGf312tSpo7+4J6d/AxdipP3aa/thGw5ea6i5f1uUr2w3kL+txkKlO fI7+qquGV03LN83W75D1EtbrhoNMzaoz9RuvP+CPK9DvkMmD9YbhIFOrf65+ o9AXxPQFM/RxMhix3tSHmz52qj683fCqqZ0qR7/jJfkF8w0HmRpHM/Ubf254 1TSiKEO/Y578KlN+ZhpaM0m/8dcP/Q55QWQ2wsVmOjxNH/6HBzxO/nQVRBo6 9PTYN1a/8U8P/Q4ZZKlYyySfsftG6Tf+5aHfsUB+Vc/YhP4z9d3ijIXv6X/T xWb6guH6Cz6WX+C7QtPHPq8P/9+GV019H17Q71gsv2CB4SBTC/iz+o3/52He wee8XH7Vh4aDTK2m39df9X8f+h0l8qt+ZjjI1Oj2Pf3G/5AF/R/RWV6vB5fL b/lIH2767O/EfraprcfUGOC/Ta7tYy00HGSqYf5W7PeZ+oH1/TbZo9laZDjI VBnqT+rG/5u6F/X9NtnRyPrEcJCpss+fUov/l4Nt6F/Tt/gHy1Zha7E+3PTZ g2I/+zuGQ0yVA/7bZOODtVSddtRB/PcuzYsf+x1PPdChsgLPWqZKJfrgd9Xc Yv7eH3zZUbJyxOL7kc9E1tLpNzynXwjo98hUxFqpX+IjR+jXa+Xr/gm88v/b Divu/wHJAS9V\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}], "[", RowBox[{"[", RowBox[{"1", ",", " ", "2"}], "]"}], "]"}]], "Input"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", FractionBox["1", RowBox[{ RowBox[{"-", "1"}], "+", "\[ExponentialE]"}]], ",", RowBox[{ RowBox[{"-", "1"}], "+", "\[ExponentialE]"}], ",", "ComplexInfinity"}], "}"}]], "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["3) Tetraview plots", "Subsubsection"], Cell[BoxData[ FormBox[ RowBox[{ RowBox[{"w", "(", "z", ")"}], "=", SuperscriptBox["z", "3"]}], TraditionalForm]], "Input", Evaluatable->False, FontWeight->"Plain"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"IncludePods", "\[Rule]", "\"\\""}], ",", RowBox[{"AppearanceElements", "\[Rule]", RowBox[{"{", "\"\\"", "}"}]}]}], "]"}]], "Input"], Cell[BoxData[ NamespaceBox["WolframAlphaQueryResults", DynamicModuleBox[{Typeset`q$$ = "w = z^3", Typeset`opts$$ = { AppearanceElements -> {"Pods"}, IncludePods -> "Tetraview"}, Typeset`elements$$ = {"Pods"}, Typeset`pod1$$ = XMLElement[ "pod", {"title" -> "Tetraview", "scanner" -> "ComplexMap", "id" -> "Tetraview", "position" -> "100", "error" -> "false", "numsubpods" -> "1"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> True, "string" -> False}, { Cell[ BoxData[ FormBox[ TagBox[ FormBox[ StyleBox[ DynamicModuleBox[{ CalculateScan`ComplexMapScanner`Private`meshN$$ = 20, CalculateUtilities`GraphicsUtilities`Private`more$$ = False, CalculateScan`ComplexMapScanner`Private`showDirectionsQ$$ = False, CalculateScan`ComplexMapScanner`Private`showMeshQ$$ = False, CalculateScan`ComplexMapScanner`Private`\ showXYZFunctionQ$$ = False, CalculateScan`ComplexMapScanner`Private`showZRangeQ$$ = False, CalculateScan`ComplexMapScanner`Private`vp$$ = { 1.3, -2.4, 2.}, CalculateScan`ComplexMapScanner`Private`vv$$ = {0, 0, 1}, CalculateScan`ComplexMapScanner`Private`xMaxScaled$$ = 0.7853981633974483, CalculateScan`ComplexMapScanner`Private`xMinScaled$$ = \ -0.7853981633974483, CalculateScan`ComplexMapScanner`Private`yMaxScaled$$ = 0.7853981633974483, CalculateScan`ComplexMapScanner`Private`yMinScaled$$ = \ -0.7853981633974483, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$ = 0, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{ Hold[ CalculateUtilities`GraphicsUtilities`Private`more$$], { False, True}}, {{ Hold[ CalculateScan`ComplexMapScanner`Private`xMinScaled$$], \ -0.7853981633974483, Subscript[ Row[{"Re(", Style["z", Italic], ")"}], "min"]}, -1.5079644737231006`, 1.5079644737231006`}, {{ Hold[ CalculateScan`ComplexMapScanner`Private`xMaxScaled$$], 0.7853981633974483, Subscript[ Row[{"Re(", Style["z", Italic], ")"}], "max"]}, -1.5079644737231006`, 1.5079644737231006`}, {{ Hold[ CalculateScan`ComplexMapScanner`Private`yMinScaled$$], \ -0.7853981633974483, Subscript[ Row[{"Im(", Style["z", Italic], ")"}], "min"]}, -1.5079644737231006`, 1.5079644737231006`}, {{ Hold[ CalculateScan`ComplexMapScanner`Private`yMaxScaled$$], 0.7853981633974483, Subscript[ Row[{"Im(", Style["z", Italic], ")"}], "max"]}, -1.5079644737231006`, 1.5079644737231006`}, {{ Hold[ CalculateScan`ComplexMapScanner`Private`showXYZFunctionQ$$\ ], False, "show explicit representation"}, {True, False}}, {{ Hold[ CalculateScan`ComplexMapScanner`Private`showZRangeQ$$], False, Row[{"show ", Style["z", Italic], " range"}]}, {True, False}}, {{ Hold[ CalculateScan`ComplexMapScanner`Private`showDirectionsQ$$]\ , False, "show 4D orientation sketch"}, {True, False}}, {{ Hold[CalculateScan`ComplexMapScanner`Private`showMeshQ$$], False, "show z-mesh"}, {False, True}}, {{ Hold[CalculateScan`ComplexMapScanner`Private`meshN$$], 20, "mesh lines"}, 2, 60, 1}, {{ Hold[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$], 0, Row[{"rotation angle in the ", Row[{"Re(", Style["z", Italic], ")"}], ", ", Row[{"Im(", Style["z", Italic], ")"}], "\[Hyphen]plane"}]}, -Pi, Pi}, {{ Hold[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$], 0, Row[{"rotation angle in the ", Row[{"Re(", Style["z", Italic], ")"}], ", ", Row[{"Re(", Style["w", Italic], ")"}], "\[Hyphen]plane"}]}, -Pi, Pi}, {{ Hold[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$], 0, Row[{"rotation angle in the ", Row[{"Re(", Style["z", Italic], ")"}], ", ", Row[{"Im(", Style["w", Italic], ")"}], "\[Hyphen]plane"}]}, -Pi, Pi}, {{ Hold[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$], 0, Row[{"rotation angle in the ", Row[{"Im(", Style["z", Italic], ")"}], ", ", Row[{"Re(", Style["w", Italic], ")"}], "\[Hyphen]plane"}]}, -Pi, Pi}, {{ Hold[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$], 0, Row[{"rotation angle in the ", Row[{"Im(", Style["z", Italic], ")"}], ", ", Row[{"Im(", Style["w", Italic], ")"}], "\[Hyphen]plane"}]}, -Pi, Pi}, {{ Hold[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$], 0, Row[{"rotation angle in the ", Row[{"Re(", Style["w", Italic], ")"}], ", ", Row[{"Im(", Style["w", Italic], ")"}], "\[Hyphen]plane"}]}, -Pi, Pi}, { Hold[ Style[ Overlay[{ RawBoxes[ PaneBox[ GraphicsBox[ RasterBox[{{{0, 0, 0, 24}}, {{0, 0, 0, 9}}, {{0, 0, 0, 10}}, {{0, 0, 0, 10}}, {{0, 0, 0, 9}}, {{0, 0, 0, 9}}, {{ 0, 0, 0, 8}}, {{0, 0, 0, 8}}, {{0, 0, 0, 9}}, {{0, 0, 0, 8}}, {{0, 0, 0, 7}}, {{0, 0, 0, 7}}, {{0, 0, 0, 8}}, {{0, 0, 0, 6}}, {{0, 0, 0, 6}}, {{0, 0, 0, 6}}, {{0, 0, 0, 6}}, {{0, 0, 0, 5}}, {{0, 0, 0, 6}}, {{0, 0, 0, 5}}, {{0, 0, 0, 4}}, {{0, 0, 0, 4}}, {{0, 0, 0, 5}}, {{0, 0, 0, 5}}, {{0, 0, 0, 3}}, {{0, 0, 0, 4}}, {{0, 0, 0, 3}}, {{0, 0, 0, 3}}, {{0, 0, 0, 3}}, {{0, 0, 0, 3}}, {{0, 0, 0, 2}}, {{0, 0, 0, 2}}, {{0, 0, 0, 2}}, {{0, 0, 0, 2}}, {{0, 0, 0, 1}}, {{0, 0, 0, 2}}, {{0, 0, 0, 2}}, {{0, 0, 0, 0}}, {{0, 0, 0, 1}}, {{255, 255, 255, 0}}, {{255, 255, 255, 0}}, {{255, 255, 255, 0}}, {{255, 255, 255, 0}}, {{ 255, 255, 255, 0}}, {{255, 255, 255, 0}}}, {{0, 45}, { 2500, 0}}, {0, 255}, ColorFunction -> RGBColor], ImageSize -> {2500, 45}, PlotRange -> {{0, 2500}, {0, 45}}], ImageSize -> Scaled[1], ScrollPosition -> {0., 0.}]], Pane[ Column[{ Row[{ Invisible[ RawBoxes[ GraphicsBox[ TagBox[ RasterBox[{{{255, 132, 0}, {255, 132, 0}, {255, 132, 0}, { 255, 132, 0}, {255, 132, 0}, {255, 132, 0}}, {{255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}}}, {{0, 2}, {6, 0}}, {0, 255}, ColorFunction -> RGBColor], BoxForm`ImageTag[ "Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable -> False], BaseStyle -> "ImageGraphics", ImageSize -> Magnification[1], ImageSizeRaw -> {6, 2}, BaselinePosition -> (Scaled[0] -> Center), PlotRange -> {{0, 6}, {0, 2}}]]], " ", Column[{ Row[{ Row[{"Re(", Style["z", Italic], ")"}], ", ", Row[{"Im(", Style["z", Italic], ")"}], "-plane plot ranges:"}], Row[{ Manipulate`Place[1], " ", Manipulate`Place[2]}], Row[{ Manipulate`Place[3], " ", Manipulate`Place[4]}]}]}], PaneSelector[{True -> Grid[{{ Button[ Row[{ RawBoxes[ GraphicsBox[ TagBox[ RasterBox[{{{255, 132, 0}, {255, 132, 0}, {255, 132, 0}, { 255, 132, 0}, {255, 132, 0}, {255, 132, 0}}, {{255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}}}, {{0, 2}, {6, 0}}, {0, 255}, ColorFunction -> RGBColor], BoxForm`ImageTag[ "Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable -> False], BaseStyle -> "ImageGraphics", ImageSize -> Magnification[1], ImageSizeRaw -> {6, 2}, BaselinePosition -> (Scaled[0] -> Center), PlotRange -> {{0, 6}, {0, 2}}]], " "}], CalculateUtilities`GraphicsUtilities`Private`more$$ = False, Appearance -> None, BaseStyle -> {}], Button[ "Fewer controls", CalculateUtilities`GraphicsUtilities`Private`more$$ = False, Appearance -> None, BaseStyle -> {}]}, {"", Item[ Column[{ Column[{ Manipulate`Place[5], Manipulate`Place[6], Manipulate`Place[7], Row[{ Manipulate`Place[8], Dynamic[ If[CalculateScan`ComplexMapScanner`Private`showMeshQ$$, Manipulate`Place[9], ""]]}]}], "4D rotation angles:", Manipulate`Place[10], Manipulate`Place[11], Manipulate`Place[12], Manipulate`Place[13], Manipulate`Place[14], Manipulate`Place[15], Button[ Row[{"show ", Row[{"Re(", Style["w", Italic], ")"}], " over the ", Row[{"Re(", Style["z", Italic], ")"}], " ", Row[{"Im(", Style["z", Italic], ")"}], "\[Hyphen]plane"}], { CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$} = \ {0, 0, 0, 0, 0, 0}, ImageSize -> Automatic, BaseStyle -> {}, Appearance -> "FramedPalette"], Button[ Row[{"show ", Row[{"Im(", Style["w", Italic], ")"}], " over the ", Row[{"Re(", Style["z", Italic], ")"}], " ", Row[{"Im(", Style["z", Italic], ")"}], "\[Hyphen]plane"}], { CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$} = \ {0, 0, 0, 0, 0, Pi/2}, ImageSize -> Automatic, BaseStyle -> {}, Appearance -> "FramedPalette"], Button[ Row[{"show ", Row[{"Re(", Style["z", Italic], ")"}], " over the ", Row[{"Re(", Style["w", Italic], ")"}], " ", Row[{"Im(", Style["w", Italic], ")"}], "\[Hyphen]plane"}], { CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$} = \ {0, Pi/2, Pi, 0, Pi/2, 0}, ImageSize -> Automatic, BaseStyle -> {}, Appearance -> "FramedPalette"], Button[ Row[{"show ", Row[{"Im(", Style["z", Italic], ")"}], " over the ", Row[{"Re(", Style["w", Italic], ")"}], " ", Row[{"Im(", Style["w", Italic], ")"}], "\[Hyphen]plane"}], { CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$} = \ {0, 0, Pi/2, Pi/2, Pi, Pi/2}, ImageSize -> Automatic, BaseStyle -> {}, Appearance -> "FramedPalette"], Button[ Row[{"show ", Row[{"Re(", Style["w", Italic], ")"}], " + ", Row[{"Im(", Style["z", Italic], ")"}], " over the ", Row[{"Re(", Style["w", Italic], ")"}], " ", Row[{"Im(", Style["w", Italic], ")"}], "\[Hyphen]plane"}], { CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$} = \ {0, Pi/2, (3 Pi)/4, Pi/2, Pi/2, Pi/2}, ImageSize -> Automatic, BaseStyle -> {}, Appearance -> "FramedPalette"]}, Dividers -> {None, { False, True, False, False, False, False, False, False, True, False, False, False, False, True}}, Alignment -> {Left, Center}, Spacings -> {Automatic, { 1, 1.5, 1, 1, 1, 1, 1, 1, 1.5, 1, 1, 1, 1, 1}}], ItemSize -> Scaled[1], Frame -> {None, None, True, None}]}}, FrameStyle -> GrayLevel[0.9], Alignment -> Left, Spacings -> {0, 0.8}], False -> Button[ Row[{ RawBoxes[ GraphicsBox[ TagBox[ RasterBox[{{{255, 255, 255}, {255, 255, 255}, {255, 132, 0}, {255, 132, 0}, {255, 255, 255}, {255, 255, 255}}, {{ 255, 255, 255}, {255, 255, 255}, {255, 132, 0}, {255, 132, 0}, {255, 255, 255}, {255, 255, 255}}, {{255, 132, 0}, { 255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}}, {{255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}}, {{ 255, 255, 255}, {255, 255, 255}, {255, 132, 0}, {255, 132, 0}, {255, 255, 255}, {255, 255, 255}}, {{255, 255, 255}, {255, 255, 255}, {255, 132, 0}, {255, 132, 0}, {255, 255, 255}, {255, 255, 255}}}, {{0, 6}, {6, 0}}, {0, 255}, ColorFunction -> RGBColor], BoxForm`ImageTag[ "Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable -> False], BaseStyle -> "ImageGraphics", ImageSize -> Magnification[1], ImageSizeRaw -> {6, 6}, BaselinePosition -> (Scaled[0.3] -> Center), PlotRange -> {{0, 6}, {0, 6}}]], " More controls"}], CalculateUtilities`GraphicsUtilities`Private`more$$ = True, Appearance -> None, BaseStyle -> {}]}, Dynamic[ CalculateUtilities`GraphicsUtilities`Private`more$$], ImageSize -> Automatic]}], ImageMargins -> {{20, 30}, {10, 10}}]}, {1, 2}, 2, Alignment -> {Left, Top}]]], Manipulate`Dump`ThisIsNotAControl}, {{ Hold[CalculateScan`ComplexMapScanner`Private`vp$$], { 1.3, -2.4, 2.}}}, {{ Hold[CalculateScan`ComplexMapScanner`Private`vv$$], {0, 0, 1}}}}, Typeset`size$$ = Automatic, Typeset`update$$ = 0, Typeset`initDone$$ = False, Typeset`skipInitDone$$ = True, CalculateUtilities`GraphicsUtilities`Private`more$462688$$ = False, CalculateScan`ComplexMapScanner`Private`xMinScaled$\ 462693$$ = 0, CalculateScan`ComplexMapScanner`Private`xMaxScaled$462694$$ = 0, CalculateScan`ComplexMapScanner`Private`yMinScaled$462695$$ = 0, CalculateScan`ComplexMapScanner`Private`yMaxScaled$462696$\ $ = 0, CalculateScan`ComplexMapScanner`Private`showXYZFunctionQ$462697$$ = False, CalculateScan`ComplexMapScanner`Private`showZRangeQ$\ 462698$$ = False, CalculateScan`ComplexMapScanner`Private`showDirectionsQ$\ 462699$$ = False, CalculateScan`ComplexMapScanner`Private`meshN$462700$$ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$462701$\ $ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$462702$$ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$462703$\ $ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$462704$$ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$462705$\ $ = 0}, DynamicBox[ Manipulate`ManipulateBoxes[ 2, TraditionalForm, "Variables" :> { CalculateScan`ComplexMapScanner`Private`meshN$$ = 20, CalculateUtilities`GraphicsUtilities`Private`more$$ = False, CalculateScan`ComplexMapScanner`Private`\ showDirectionsQ$$ = False, CalculateScan`ComplexMapScanner`Private`showMeshQ$$ = False, CalculateScan`ComplexMapScanner`Private`\ showXYZFunctionQ$$ = False, CalculateScan`ComplexMapScanner`Private`showZRangeQ$$ = False, CalculateScan`ComplexMapScanner`Private`vp$$ = { 1.3, -2.4, 2.}, CalculateScan`ComplexMapScanner`Private`vv$$ = {0, 0, 1}, CalculateScan`ComplexMapScanner`Private`xMaxScaled$$ = 0.7853981633974483, CalculateScan`ComplexMapScanner`Private`xMinScaled$$ = \ -0.7853981633974483, CalculateScan`ComplexMapScanner`Private`yMaxScaled$$ = 0.7853981633974483, CalculateScan`ComplexMapScanner`Private`yMinScaled$$ = \ -0.7853981633974483, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$\ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$\ = 0, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$ = 0}, "ControllerVariables" :> { Hold[ CalculateUtilities`GraphicsUtilities`Private`more$$, CalculateUtilities`GraphicsUtilities`Private`more$462688$$\ , False], Hold[ CalculateScan`ComplexMapScanner`Private`xMinScaled$$, CalculateScan`ComplexMapScanner`Private`xMinScaled$462693$\ $, 0], Hold[ CalculateScan`ComplexMapScanner`Private`xMaxScaled$$, CalculateScan`ComplexMapScanner`Private`xMaxScaled$462694$\ $, 0], Hold[ CalculateScan`ComplexMapScanner`Private`yMinScaled$$, CalculateScan`ComplexMapScanner`Private`yMinScaled$462695$\ $, 0], Hold[ CalculateScan`ComplexMapScanner`Private`yMaxScaled$$, CalculateScan`ComplexMapScanner`Private`yMaxScaled$462696$\ $, 0], Hold[ CalculateScan`ComplexMapScanner`Private`showXYZFunctionQ$$\ , CalculateScan`ComplexMapScanner`Private`showXYZFunctionQ$462697$$, False], Hold[ CalculateScan`ComplexMapScanner`Private`showZRangeQ$$, CalculateScan`ComplexMapScanner`Private`showZRangeQ$\ 462698$$, False], Hold[ CalculateScan`ComplexMapScanner`Private`showDirectionsQ$$, CalculateScan`ComplexMapScanner`Private`showDirectionsQ$\ 462699$$, False], Hold[ CalculateScan`ComplexMapScanner`Private`meshN$$, CalculateScan`ComplexMapScanner`Private`meshN$462700$$, 0], Hold[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$\ 462701$$, 0], Hold[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$\ 462702$$, 0], Hold[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$\ 462703$$, 0], Hold[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$\ 462704$$, 0], Hold[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$\ 462705$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Module[{ CalculateScan`ComplexMapScanner`Private`xMin$, CalculateScan`ComplexMapScanner`Private`xMax$, CalculateScan`ComplexMapScanner`Private`yMin$, CalculateScan`ComplexMapScanner`Private`yMax$, CalculateScan`ComplexMapScanner`Private`fc$, CalculateScan`ComplexMapScanner`Private`x$, CalculateScan`ComplexMapScanner`Private`y$, CalculateScan`ComplexMapScanner`Private`u$, CalculateScan`ComplexMapScanner`Private`v$, CalculateScan`ComplexMapScanner`Private`z$ = Symbol["z"], CalculateScan`ComplexMapScanner`Private`w$ = Symbol["w"], CalculateScan`ComplexMapScanner`Private`inset$, CalculateScan`ComplexMapScanner`Private`mat$}, Dynamic[ If[CalculateScan`ComplexMapScanner`Private`xMaxScaled$$ == CalculateScan`ComplexMapScanner`Private`xMinScaled$$, CalculateScan`ComplexMapScanner`Private`xMaxScaled$$ = CalculateScan`ComplexMapScanner`Private`xMinScaled$$ + 0.01 If[ CalculateScan`ComplexMapScanner`Private`xMinScaled$$ == 0, 1, Abs[ CalculateScan`ComplexMapScanner`Private`xMinScaled$$]]]; If[CalculateScan`ComplexMapScanner`Private`yMaxScaled$$ == CalculateScan`ComplexMapScanner`Private`yMinScaled$$, CalculateScan`ComplexMapScanner`Private`yMaxScaled$$ = CalculateScan`ComplexMapScanner`Private`yMinScaled$$ + 0.01 If[ CalculateScan`ComplexMapScanner`Private`yMinScaled$$ == 0, 1, Abs[ CalculateScan`ComplexMapScanner`Private`yMinScaled$$]]]; CalculateScan`ComplexMapScanner`Private`xMin$ = Function[{ CalculateScan`ComplexMapScanner`Private`y, CalculateScan`ComplexMapScanner`Private`L}, ( Sign[CalculateScan`ComplexMapScanner`Private`y] CalculateScan`ComplexMapScanner`Private`L) Tan[ Abs[CalculateScan`ComplexMapScanner`Private`y]]^1][ CalculateScan`ComplexMapScanner`Private`xMinScaled$$, 1.]; CalculateScan`ComplexMapScanner`Private`xMax$ = Function[{ CalculateScan`ComplexMapScanner`Private`y, CalculateScan`ComplexMapScanner`Private`L}, ( Sign[CalculateScan`ComplexMapScanner`Private`y] CalculateScan`ComplexMapScanner`Private`L) Tan[ Abs[CalculateScan`ComplexMapScanner`Private`y]]^1][ CalculateScan`ComplexMapScanner`Private`xMaxScaled$$, 1.]; CalculateScan`ComplexMapScanner`Private`yMin$ = Function[{ CalculateScan`ComplexMapScanner`Private`y, CalculateScan`ComplexMapScanner`Private`L}, ( Sign[CalculateScan`ComplexMapScanner`Private`y] CalculateScan`ComplexMapScanner`Private`L) Tan[ Abs[CalculateScan`ComplexMapScanner`Private`y]]^1][ CalculateScan`ComplexMapScanner`Private`yMinScaled$$, 1.]; CalculateScan`ComplexMapScanner`Private`yMax$ = Function[{ CalculateScan`ComplexMapScanner`Private`y, CalculateScan`ComplexMapScanner`Private`L}, ( Sign[CalculateScan`ComplexMapScanner`Private`y] CalculateScan`ComplexMapScanner`Private`L) Tan[ Abs[CalculateScan`ComplexMapScanner`Private`y]]^1][ CalculateScan`ComplexMapScanner`Private`yMaxScaled$$, 1.]; CalculateScan`ComplexMapScanner`Private`f4 = N[ Dot[ CalculateScan`ComplexMapScanner`Private`mat$ = Function[{ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv}, Fold[Dot, IdentityMatrix[4], {{{ Cos[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy], Sin[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy], 0, 0}, {-Sin[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy], Cos[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy], 0, 0}, {0, 0, 1, 0}, {0, 0, 0, 1}}, {{ Cos[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu], 0, Sin[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu], 0}, {0, 1, 0, 0}, {-Sin[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu], 0, Cos[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu], 0}, {0, 0, 0, 1}}, {{ Cos[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv], 0, 0, Sin[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv]}, { 0, 1, 0, 0}, {0, 0, 1, 0}, {-Sin[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv], 0, 0, Cos[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv]}}, \ {{1, 0, 0, 0}, {0, Cos[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu], Sin[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu], 0}, {0, -Sin[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu], Cos[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu], 0}, {0, 0, 0, 1}}, {{1, 0, 0, 0}, {0, Cos[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv], 0, Sin[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv]}, { 0, 0, 1, 0}, { 0, -Sin[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv], 0, Cos[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv]}}, \ {{1, 0, 0, 0}, {0, 1, 0, 0}, {0, 0, Cos[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv], Sin[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv]}, { 0, 0, -Sin[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv], Cos[ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv]}}}]\ ][CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$], \ {CalculateScan`ComplexMapScanner`Private`x$, CalculateScan`ComplexMapScanner`Private`y$, Re[ Function[$CellContext`z, $CellContext`z^3][ CalculateScan`ComplexMapScanner`Private`x$ + I CalculateScan`ComplexMapScanner`Private`y$]], Im[ Function[$CellContext`z, $CellContext`z^3][ CalculateScan`ComplexMapScanner`Private`x$ + I CalculateScan`ComplexMapScanner`Private`y$]]}]]; CalculateScan`ComplexMapScanner`Private`fc$ = Apply[Function, {{ CalculateScan`ComplexMapScanner`Private`x$, CalculateScan`ComplexMapScanner`Private`y$}, Evaluate[ (Quiet[ Blend[{ RGBColor[0.7963836, 0.268482, 0.000061], RGBColor[0.877821, 0.665659, 0.], RGBColor[0.882352, 0.863645, 0.71895933], RGBColor[1., 1., 1.], RGBColor[0.861799, 0.82941939, 0.655313], RGBColor[0.877821, 0.665659, 0.]}, If[# < 1/2, 2 #, 2 (1 - #)]]]& )[( Tanh[Last[CalculateScan`ComplexMapScanner`Private`f4]/1.] + 1)/2]]}]; CalculateScan`ComplexMapScanner`Private`inset$ = Graphics3D[{ Arrow[{{0, 0, 0}, Take[ Dot[ CalculateScan`ComplexMapScanner`Private`mat$, {1, 0, 0, 0}], 3]}], Arrow[{{0, 0, 0}, Take[ Dot[ CalculateScan`ComplexMapScanner`Private`mat$, {0, 1, 0, 0}], 3]}], Arrow[{{0, 0, 0}, Take[ Dot[ CalculateScan`ComplexMapScanner`Private`mat$, {0, 0, 1, 0}], 3]}], Arrow[{{0, 0, 0}, Take[ Dot[ CalculateScan`ComplexMapScanner`Private`mat$, {0, 0, 0, 1}], 3]}], With[{CalculateScan`ComplexMapScanner`Private`La$ = 1.3}, { If[Take[ Dot[ CalculateScan`ComplexMapScanner`Private`mat$, { CalculateScan`ComplexMapScanner`Private`La$, 0, 0, 0}], 3] != {0, 0, 0}, Text["Re(z)", Take[ Dot[ CalculateScan`ComplexMapScanner`Private`mat$, { CalculateScan`ComplexMapScanner`Private`La$, 0, 0, 0}], 3]], {}], If[Take[ Dot[ CalculateScan`ComplexMapScanner`Private`mat$, { 0, CalculateScan`ComplexMapScanner`Private`La$, 0, 0}], 3] != {0, 0, 0}, Text["Im(z)", Take[ Dot[ CalculateScan`ComplexMapScanner`Private`mat$, { 0, CalculateScan`ComplexMapScanner`Private`La$, 0, 0}], 3]], {}], If[Take[ Dot[ CalculateScan`ComplexMapScanner`Private`mat$, { 0, 0, CalculateScan`ComplexMapScanner`Private`La$, 0}], 3] != {0, 0, 0}, Text["Re(w)", Take[ Dot[ CalculateScan`ComplexMapScanner`Private`mat$, { 0, 0, CalculateScan`ComplexMapScanner`Private`La$, 0}], 3]], {}], If[Take[ Dot[ CalculateScan`ComplexMapScanner`Private`mat$, { 0, 0, 0, CalculateScan`ComplexMapScanner`Private`La$}], 3] != {0, 0, 0}, Text["Im(w)", Take[ Dot[ CalculateScan`ComplexMapScanner`Private`mat$, { 0, 0, 0, CalculateScan`ComplexMapScanner`Private`La$}], 3]], {}]}]}, ImagePadding -> 20, ImageSize -> 240, Axes -> True, Ticks -> None, AxesLabel -> Array[Style[ Subscript[ Style["x", Italic], #], GrayLevel[0.3]]& , 3], ViewPoint -> Dynamic[CalculateScan`ComplexMapScanner`Private`vp$$], ViewVertical -> Dynamic[CalculateScan`ComplexMapScanner`Private`vv$$], Background -> None]; Column[{ Sequence[], Quiet[ ParametricPlot3D[ Evaluate[ Take[CalculateScan`ComplexMapScanner`Private`f4, 3]], { CalculateScan`ComplexMapScanner`Private`x$, CalculateScan`ComplexMapScanner`Private`xMin$, CalculateScan`ComplexMapScanner`Private`xMax$}, { CalculateScan`ComplexMapScanner`Private`y$, CalculateScan`ComplexMapScanner`Private`yMin$, CalculateScan`ComplexMapScanner`Private`yMax$}, Mesh -> If[CalculateScan`ComplexMapScanner`Private`showMeshQ$$, CalculateScan`ComplexMapScanner`Private`meshN$$, False], ColorFunctionScaling -> False, Axes -> False, ColorFunction -> CalculateScan`ComplexMapScanner`Private`fc$, BoxRatios -> {1, 1, 1}, ImageSize -> {400, 350}, SphericalRegion -> True, Boxed -> False, MaxRecursion -> ControlActive[Automatic, 4], ViewPoint -> Dynamic[CalculateScan`ComplexMapScanner`Private`vp$$], ViewVertical -> Dynamic[CalculateScan`ComplexMapScanner`Private`vv$$], Epilog -> Dynamic[ If[ CalculateScan`ComplexMapScanner`Private`showDirectionsQ$$, Inset[ CalculateScan`ComplexMapScanner`Private`inset$, { Left, Bottom}, {Left, Bottom}, 0.48], {}]]]], If[ CalculateScan`ComplexMapScanner`Private`showXYZFunctionQ$$\ , ReplaceAll[ ReplaceAll[ DeleteCases[ Apply[HoldForm, { ReplaceAll[ Column[{ Grid[{{ Style[ Row[{ Subscript[ Style["x", Italic], 1], "\[ThinSpace]=\[ThinSpace]"}], GrayLevel[0.3]], Part[CalculateScan`ComplexMapScanner`Private`f4, 1]}, { Style[ Row[{ Subscript[ Style["x", Italic], 2], "\[ThinSpace]=\[ThinSpace]"}], GrayLevel[0.3]], Part[CalculateScan`ComplexMapScanner`Private`f4, 2]}, { Style[ Row[{ Subscript[ Style["x", Italic], 3], "\[ThinSpace]=\[ThinSpace]"}], GrayLevel[0.3]], Part[CalculateScan`ComplexMapScanner`Private`f4, 3]}}, Alignment -> Left], Grid[{{ Style[ Row[{ Style["coloring by ", GrayLevel[0.3]]}]], Part[CalculateScan`ComplexMapScanner`Private`f4, 4]}}, Alignment -> Left]}], { CalculateScan`ComplexMapScanner`Private`x$ -> Re[ Symbol["z"]], CalculateScan`ComplexMapScanner`Private`y$ -> Im[ Symbol["z"]], CalculateScan`ComplexMapScanner`Private`u$ -> Re[ Symbol["w"]], CalculateScan`ComplexMapScanner`Private`v$ -> Im[ Symbol["w"]]}]}], 0. Blank[], Infinity], Complex[ Pattern[CalculateScan`ComplexMapScanner`Private`r, Blank[]], 0.] :> CalculateScan`ComplexMapScanner`Private`r], HoldPattern[ Pattern[CalculateScan`ComplexMapScanner`Private`\[Xi], Blank[]]] :> CalculateScan`ComplexMapScanner`Private`\[Xi]], Apply[Sequence, {}]], If[ CalculateScan`ComplexMapScanner`Private`showZRangeQ$$, Row[{ Dynamic[ Function[{ CalculateScan`ComplexMapScanner`Private`y, CalculateScan`ComplexMapScanner`Private`L}, ( Sign[CalculateScan`ComplexMapScanner`Private`y] CalculateScan`ComplexMapScanner`Private`L) Tan[ Abs[CalculateScan`ComplexMapScanner`Private`y]]^1][ CalculateScan`ComplexMapScanner`Private`xMinScaled$$, 1.]], "\[ThinSpace]\[LessEqual]\[ThinSpace]", Subscript[ Re[ RawBoxes["z"]], "min"], "\[ThinSpace]\[LessEqual]\[ThinSpace]", Dynamic[ Function[{ CalculateScan`ComplexMapScanner`Private`y, CalculateScan`ComplexMapScanner`Private`L}, ( Sign[CalculateScan`ComplexMapScanner`Private`y] CalculateScan`ComplexMapScanner`Private`L) Tan[ Abs[CalculateScan`ComplexMapScanner`Private`y]]^1][ CalculateScan`ComplexMapScanner`Private`xMaxScaled$$, 1.]], Style[" and ", GrayLevel[0.3]], Dynamic[ Function[{ CalculateScan`ComplexMapScanner`Private`y, CalculateScan`ComplexMapScanner`Private`L}, ( Sign[CalculateScan`ComplexMapScanner`Private`y] CalculateScan`ComplexMapScanner`Private`L) Tan[ Abs[CalculateScan`ComplexMapScanner`Private`y]]^1][ CalculateScan`ComplexMapScanner`Private`yMinScaled$$, 1.]], "\[ThinSpace]\[LessEqual]\[ThinSpace]", Subscript[ Im[ RawBoxes["z"]], "min"], "\[ThinSpace]\[LessEqual]\[ThinSpace]", Dynamic[ Function[{ CalculateScan`ComplexMapScanner`Private`y, CalculateScan`ComplexMapScanner`Private`L}, ( Sign[CalculateScan`ComplexMapScanner`Private`y] CalculateScan`ComplexMapScanner`Private`L) Tan[ Abs[CalculateScan`ComplexMapScanner`Private`y]]^1][ CalculateScan`ComplexMapScanner`Private`yMaxScaled$$, 1.]]}], Apply[Sequence, {}]]}]]], "Specifications" :> {{ CalculateUtilities`GraphicsUtilities`Private`more$$, { False, True}, ControlType -> None}, {{ CalculateScan`ComplexMapScanner`Private`xMinScaled$$, \ -0.7853981633974483, Subscript[ Row[{"Re(", Style["z", Italic], ")"}], "min"]}, -1.5079644737231006`, 1.5079644737231006`, ImageSize -> Tiny, ControlPlacement -> 1}, {{CalculateScan`ComplexMapScanner`Private`xMaxScaled$$\ , 0.7853981633974483, Subscript[ Row[{"Re(", Style["z", Italic], ")"}], "max"]}, -1.5079644737231006`, 1.5079644737231006`, ImageSize -> Tiny, ControlPlacement -> 2}, {{CalculateScan`ComplexMapScanner`Private`yMinScaled$$\ , -0.7853981633974483, Subscript[ Row[{"Im(", Style["z", Italic], ")"}], "min"]}, -1.5079644737231006`, 1.5079644737231006`, ImageSize -> Tiny, ControlPlacement -> 3}, {{CalculateScan`ComplexMapScanner`Private`yMaxScaled$$\ , 0.7853981633974483, Subscript[ Row[{"Im(", Style["z", Italic], ")"}], "max"]}, -1.5079644737231006`, 1.5079644737231006`, ImageSize -> Tiny, ControlPlacement -> 4}, {{CalculateScan`ComplexMapScanner`Private`\ showXYZFunctionQ$$, False, "show explicit representation"}, {True, False}, ControlPlacement -> 5}, {{ CalculateScan`ComplexMapScanner`Private`showZRangeQ$$, False, Row[{"show ", Style["z", Italic], " range"}]}, {True, False}, ControlPlacement -> 6}, {{ CalculateScan`ComplexMapScanner`Private`showDirectionsQ$$, False, "show 4D orientation sketch"}, {True, False}, ControlPlacement -> 7}, {{ CalculateScan`ComplexMapScanner`Private`showMeshQ$$, False, "show z-mesh"}, {False, True}, ControlPlacement -> 8}, {{CalculateScan`ComplexMapScanner`Private`meshN$$, 20, "mesh lines"}, 2, 60, 1, ImageSize -> Small, ControlPlacement -> 9}, {{ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$, 0, Row[{"rotation angle in the ", Row[{"Re(", Style["z", Italic], ")"}], ", ", Row[{"Im(", Style["z", Italic], ")"}], "\[Hyphen]plane"}]}, -Pi, Pi, ImageSize -> Small, ControlPlacement -> 10}, {{ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$, 0, Row[{"rotation angle in the ", Row[{"Re(", Style["z", Italic], ")"}], ", ", Row[{"Re(", Style["w", Italic], ")"}], "\[Hyphen]plane"}]}, -Pi, Pi, ImageSize -> Small, ControlPlacement -> 11}, {{ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$, 0, Row[{"rotation angle in the ", Row[{"Re(", Style["z", Italic], ")"}], ", ", Row[{"Im(", Style["w", Italic], ")"}], "\[Hyphen]plane"}]}, -Pi, Pi, ImageSize -> Small, ControlPlacement -> 12}, {{ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$, 0, Row[{"rotation angle in the ", Row[{"Im(", Style["z", Italic], ")"}], ", ", Row[{"Re(", Style["w", Italic], ")"}], "\[Hyphen]plane"}]}, -Pi, Pi, ImageSize -> Small, ControlPlacement -> 13}, {{ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$, 0, Row[{"rotation angle in the ", Row[{"Im(", Style["z", Italic], ")"}], ", ", Row[{"Im(", Style["w", Italic], ")"}], "\[Hyphen]plane"}]}, -Pi, Pi, ImageSize -> Small, ControlPlacement -> 14}, {{ CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$, 0, Row[{"rotation angle in the ", Row[{"Re(", Style["w", Italic], ")"}], ", ", Row[{"Im(", Style["w", Italic], ")"}], "\[Hyphen]plane"}]}, -Pi, Pi, ImageSize -> Small, ControlPlacement -> 15}, Style[ Overlay[{ RawBoxes[ PaneBox[ GraphicsBox[ RasterBox[{{{0, 0, 0, 24}}, {{0, 0, 0, 9}}, {{0, 0, 0, 10}}, {{0, 0, 0, 10}}, {{0, 0, 0, 9}}, {{0, 0, 0, 9}}, {{ 0, 0, 0, 8}}, {{0, 0, 0, 8}}, {{0, 0, 0, 9}}, {{0, 0, 0, 8}}, {{0, 0, 0, 7}}, {{0, 0, 0, 7}}, {{0, 0, 0, 8}}, {{0, 0, 0, 6}}, {{0, 0, 0, 6}}, {{0, 0, 0, 6}}, {{0, 0, 0, 6}}, {{0, 0, 0, 5}}, {{0, 0, 0, 6}}, {{0, 0, 0, 5}}, {{0, 0, 0, 4}}, {{0, 0, 0, 4}}, {{0, 0, 0, 5}}, {{0, 0, 0, 5}}, {{0, 0, 0, 3}}, {{0, 0, 0, 4}}, {{0, 0, 0, 3}}, {{0, 0, 0, 3}}, {{0, 0, 0, 3}}, {{0, 0, 0, 3}}, {{0, 0, 0, 2}}, {{0, 0, 0, 2}}, {{0, 0, 0, 2}}, {{0, 0, 0, 2}}, {{0, 0, 0, 1}}, {{0, 0, 0, 2}}, {{0, 0, 0, 2}}, {{0, 0, 0, 0}}, {{0, 0, 0, 1}}, {{255, 255, 255, 0}}, {{255, 255, 255, 0}}, {{255, 255, 255, 0}}, {{255, 255, 255, 0}}, {{ 255, 255, 255, 0}}, {{255, 255, 255, 0}}}, {{0, 45}, { 2500, 0}}, {0, 255}, ColorFunction -> RGBColor], ImageSize -> {2500, 45}, PlotRange -> {{0, 2500}, {0, 45}}], ImageSize -> Scaled[1], ScrollPosition -> {0., 0.}]], Pane[ Column[{ Row[{ Invisible[ RawBoxes[ GraphicsBox[ TagBox[ RasterBox[{{{255, 132, 0}, {255, 132, 0}, {255, 132, 0}, { 255, 132, 0}, {255, 132, 0}, {255, 132, 0}}, {{255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}}}, {{0, 2}, {6, 0}}, {0, 255}, ColorFunction -> RGBColor], BoxForm`ImageTag[ "Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable -> False], BaseStyle -> "ImageGraphics", ImageSize -> Magnification[1], ImageSizeRaw -> {6, 2}, BaselinePosition -> (Scaled[0] -> Center), PlotRange -> {{0, 6}, {0, 2}}]]], " ", Column[{ Row[{ Row[{"Re(", Style["z", Italic], ")"}], ", ", Row[{"Im(", Style["z", Italic], ")"}], "-plane plot ranges:"}], Row[{ Manipulate`Place[1], " ", Manipulate`Place[2]}], Row[{ Manipulate`Place[3], " ", Manipulate`Place[4]}]}]}], PaneSelector[{True -> Grid[{{ Button[ Row[{ RawBoxes[ GraphicsBox[ TagBox[ RasterBox[{{{255, 132, 0}, {255, 132, 0}, {255, 132, 0}, { 255, 132, 0}, {255, 132, 0}, {255, 132, 0}}, {{255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}}}, {{0, 2}, {6, 0}}, {0, 255}, ColorFunction -> RGBColor], BoxForm`ImageTag[ "Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable -> False], BaseStyle -> "ImageGraphics", ImageSize -> Magnification[1], ImageSizeRaw -> {6, 2}, BaselinePosition -> (Scaled[0] -> Center), PlotRange -> {{0, 6}, {0, 2}}]], " "}], CalculateUtilities`GraphicsUtilities`Private`more$$ = False, Appearance -> None, BaseStyle -> {}], Button["Fewer controls", CalculateUtilities`GraphicsUtilities`Private`more$$ = False, Appearance -> None, BaseStyle -> {}]}, {"", Item[ Column[{ Column[{ Manipulate`Place[5], Manipulate`Place[6], Manipulate`Place[7], Row[{ Manipulate`Place[8], Dynamic[ If[CalculateScan`ComplexMapScanner`Private`showMeshQ$$, Manipulate`Place[9], ""]]}]}], "4D rotation angles:", Manipulate`Place[10], Manipulate`Place[11], Manipulate`Place[12], Manipulate`Place[13], Manipulate`Place[14], Manipulate`Place[15], Button[ Row[{"show ", Row[{"Re(", Style["w", Italic], ")"}], " over the ", Row[{"Re(", Style["z", Italic], ")"}], " ", Row[{"Im(", Style["z", Italic], ")"}], "\[Hyphen]plane"}], { CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$} = \ {0, 0, 0, 0, 0, 0}, ImageSize -> Automatic, BaseStyle -> {}, Appearance -> "FramedPalette"], Button[ Row[{"show ", Row[{"Im(", Style["w", Italic], ")"}], " over the ", Row[{"Re(", Style["z", Italic], ")"}], " ", Row[{"Im(", Style["z", Italic], ")"}], "\[Hyphen]plane"}], { CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$} = \ {0, 0, 0, 0, 0, Pi/2}, ImageSize -> Automatic, BaseStyle -> {}, Appearance -> "FramedPalette"], Button[ Row[{"show ", Row[{"Re(", Style["z", Italic], ")"}], " over the ", Row[{"Re(", Style["w", Italic], ")"}], " ", Row[{"Im(", Style["w", Italic], ")"}], "\[Hyphen]plane"}], { CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$} = \ {0, Pi/2, Pi, 0, Pi/2, 0}, ImageSize -> Automatic, BaseStyle -> {}, Appearance -> "FramedPalette"], Button[ Row[{"show ", Row[{"Im(", Style["z", Italic], ")"}], " over the ", Row[{"Re(", Style["w", Italic], ")"}], " ", Row[{"Im(", Style["w", Italic], ")"}], "\[Hyphen]plane"}], { CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$} = \ {0, 0, Pi/2, Pi/2, Pi, Pi/2}, ImageSize -> Automatic, BaseStyle -> {}, Appearance -> "FramedPalette"], Button[ Row[{"show ", Row[{"Re(", Style["w", Italic], ")"}], " + ", Row[{"Im(", Style["z", Italic], ")"}], " over the ", Row[{"Re(", Style["w", Italic], ")"}], " ", Row[{"Im(", Style["w", Italic], ")"}], "\[Hyphen]plane"}], { CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xy$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]xv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yu$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]yv$$, CalculateScan`ComplexMapScanner`Private`\[CurlyPhi]uv$$} = \ {0, Pi/2, (3 Pi)/4, Pi/2, Pi/2, Pi/2}, ImageSize -> Automatic, BaseStyle -> {}, Appearance -> "FramedPalette"]}, Dividers -> {None, { False, True, False, False, False, False, False, False, True, False, False, False, False, True}}, Alignment -> {Left, Center}, Spacings -> {Automatic, { 1, 1.5, 1, 1, 1, 1, 1, 1, 1.5, 1, 1, 1, 1, 1}}], ItemSize -> Scaled[1], Frame -> {None, None, True, None}]}}, FrameStyle -> GrayLevel[0.9], Alignment -> Left, Spacings -> {0, 0.8}], False -> Button[ Row[{ RawBoxes[ GraphicsBox[ TagBox[ RasterBox[{{{255, 255, 255}, {255, 255, 255}, {255, 132, 0}, {255, 132, 0}, {255, 255, 255}, {255, 255, 255}}, {{ 255, 255, 255}, {255, 255, 255}, {255, 132, 0}, {255, 132, 0}, {255, 255, 255}, {255, 255, 255}}, {{255, 132, 0}, { 255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}}, {{255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}, {255, 132, 0}}, {{255, 255, 255}, {255, 255, 255}, {255, 132, 0}, {255, 132, 0}, {255, 255, 255}, {255, 255, 255}}, {{255, 255, 255}, { 255, 255, 255}, {255, 132, 0}, {255, 132, 0}, {255, 255, 255}, {255, 255, 255}}}, {{0, 6}, {6, 0}}, {0, 255}, ColorFunction -> RGBColor], BoxForm`ImageTag[ "Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable -> False], BaseStyle -> "ImageGraphics", ImageSize -> Magnification[1], ImageSizeRaw -> {6, 6}, BaselinePosition -> (Scaled[0.3] -> Center), PlotRange -> {{0, 6}, {0, 6}}]], " More controls"}], CalculateUtilities`GraphicsUtilities`Private`more$$ = True, Appearance -> None, BaseStyle -> {}]}, Dynamic[ CalculateUtilities`GraphicsUtilities`Private`more$$], ImageSize -> Automatic]}], ImageMargins -> {{20, 30}, {10, 10}}]}, {1, 2}, 2, Alignment -> {Left, Top}]], {{ CalculateScan`ComplexMapScanner`Private`vp$$, {1.3, -2.4, 2.}}, ControlType -> None}, {{ CalculateScan`ComplexMapScanner`Private`vv$$, {0, 0, 1}}, ControlType -> None}}, "Options" :> { ControlPlacement -> Bottom, Paneled -> False, ControlPlacement -> Bottom, FrameMargins -> {{0, 0}, {0, 10}}, Paneled -> False, AppearanceElements -> {}, LabelStyle -> { "DialogStyle", FontColor -> GrayLevel[0.25]}}, "DefaultOptions" :> {}], SingleEvaluation -> True], DynamicModuleValues :> {}, Deinitialization :> None, UntrackedVariables :> {Typeset`size$$}, SynchronousInitialization -> True, UnsavedVariables :> {Typeset`initDone$$}], "Manipulate", Deployed -> True, StripOnInput -> False], TraditionalForm], Manipulate`InterpretManipulate[1]], TraditionalForm]], "Output"]}], XMLElement["dataformats", {}, {}]}]}], Typeset`aux1$$ = { True, False, {False}, True}, Typeset`asyncpods$$ = {}, Typeset`nonpods$$ = {}, Typeset`initdone$$ = True, Typeset`queryinfo$$ = { "success" -> "true", "error" -> "false", "numpods" -> "1", "datatypes" -> "", "timedout" -> "", "timing" -> "0.528", "parsetiming" -> "0.157", "parsetimedout" -> "false", "recalculate" -> "", "id" -> "MSP83219hee4734e98dhb4000051h1eib02a2he345&s=27", "related" -> "http://www4d.wolframalpha.com/api/v2/relatedQueries.jsp?id=\ MSP83319hee4734e98dhb400003ga6gfce7i12bb46&s=27", "version" -> "2.1"}, Typeset`sessioninfo$$ = { "TimeZone" -> -5., "Date" -> {2011, 10, 16, 22, 9, 35.533508`8.303213064385133}, "Line" -> 8, "SessionID" -> 23119735929452804424}, Typeset`showpods$$ = {1}, Typeset`failedpods$$ = {}, Typeset`chosen$$ = {}, Typeset`open$$ = False, Typeset`newq$$ = "w = z^3"}, DynamicBox[ToBoxes[ AlphaIntegration`FormatAlphaResults[ Dynamic[{ 1, {Typeset`pod1$$}, {Typeset`aux1$$}, Typeset`chosen$$, Typeset`open$$, Typeset`elements$$, Typeset`q$$, Typeset`opts$$, Typeset`nonpods$$, Typeset`queryinfo$$, Typeset`sessioninfo$$, Typeset`showpods$$, Typeset`failedpods$$, Typeset`newq$$}]], StandardForm], ImageSizeCache->{981., {251., 259.}}, TrackedSymbols:>{Typeset`showpods$$, Typeset`failedpods$$}], DynamicModuleValues:>{}, Initialization:>If[ Not[Typeset`initdone$$], WolframAlphaClient`Private`doAsyncUpdates[ Hold[{Typeset`pod1$$}], Typeset`asyncpods$$, Dynamic[Typeset`failedpods$$]]; Typeset`asyncpods$$ = {}; Typeset`initdone$$ = True], SynchronousInitialization->False], BaseStyle->{Deployed -> True}, DeleteWithContents->True, Editable->False, SelectWithContents->True]], "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Equation solving", "Subsection"], Cell[CellGroupData[{ Cell["4) Solve Fredholm integral equations of the second kind", \ "Subsubsection"], Cell[BoxData[ FormBox[ RowBox[{ RowBox[{ RowBox[{"f", "(", "x", ")"}], "+", "x"}], "\[LongEqual]", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "1"], RowBox[{ RowBox[{"f", "(", "y", ")"}], " ", RowBox[{"sin", "(", RowBox[{"x", "+", "y"}], ")"}], RowBox[{"\[DifferentialD]", "y"}]}]}]}], TraditionalForm]], "Input", Evaluatable->False, FontWeight->"Plain"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ RowBox[{ RowBox[{"f", "(", "x", ")"}], "\[LongEqual]", RowBox[{ FractionBox["1", RowBox[{"12", "+", RowBox[{"4", " ", RowBox[{ SuperscriptBox["sin", "4"], "(", "1", ")"}]}], "-", RowBox[{"16", " ", RowBox[{ SuperscriptBox["sin", "2"], "(", "1", ")"}]}], "+", RowBox[{ SuperscriptBox["sin", "2"], "(", "2", ")"}]}]], RowBox[{"(", RowBox[{ RowBox[{"-", RowBox[{"12", " ", "x"}]}], "-", RowBox[{"4", " ", "x", " ", RowBox[{ SuperscriptBox["sin", "4"], "(", "1", ")"}]}], "+", RowBox[{"8", " ", RowBox[{ SuperscriptBox["sin", "3"], "(", "1", ")"}], " ", RowBox[{"sin", "(", "x", ")"}]}], "+", RowBox[{"x", " ", RowBox[{"(", RowBox[{"-", RowBox[{ SuperscriptBox["sin", "2"], "(", "2", ")"}]}], ")"}]}], "+", RowBox[{"16", " ", "x", " ", RowBox[{ SuperscriptBox["sin", "2"], "(", "1", ")"}]}], "-", RowBox[{"8", " ", RowBox[{ SuperscriptBox["sin", "2"], "(", "1", ")"}], " ", RowBox[{"sin", "(", "x", ")"}]}], "-", RowBox[{"4", " ", RowBox[{"sin", "(", "1", ")"}], " ", RowBox[{"sin", "(", "2", ")"}], " ", RowBox[{"sin", "(", "x", ")"}]}], "-", RowBox[{"24", " ", RowBox[{"sin", "(", "1", ")"}], " ", RowBox[{"sin", "(", "x", ")"}]}], "+", RowBox[{"16", " ", RowBox[{"sin", "(", "x", ")"}]}], "+", RowBox[{"8", " ", RowBox[{"cos", "(", "1", ")"}], " ", RowBox[{"cos", "(", "x", ")"}]}], "+", RowBox[{"8", " ", RowBox[{"cos", "(", "x", ")"}]}], "+", RowBox[{"8", " ", RowBox[{ SuperscriptBox["sin", "3"], "(", "1", ")"}], " ", RowBox[{"cos", "(", "x", ")"}]}], "+", RowBox[{"8", " ", RowBox[{ SuperscriptBox["sin", "2"], "(", "1", ")"}], " ", RowBox[{"cos", "(", "1", ")"}], " ", RowBox[{"sin", "(", "x", ")"}]}], "-", RowBox[{"8", " ", RowBox[{ SuperscriptBox["sin", "2"], "(", "1", ")"}], " ", RowBox[{"cos", "(", "1", ")"}], " ", RowBox[{"cos", "(", "x", ")"}]}], "+", RowBox[{"4", " ", RowBox[{"sin", "(", "2", ")"}], " ", RowBox[{"cos", "(", "1", ")"}], " ", RowBox[{"sin", "(", "x", ")"}]}], "-", RowBox[{"8", " ", RowBox[{"cos", "(", "1", ")"}], " ", RowBox[{"sin", "(", "x", ")"}]}], "+", RowBox[{"4", " ", RowBox[{"sin", "(", "2", ")"}], " ", RowBox[{"cos", "(", "1", ")"}], " ", RowBox[{"cos", "(", "x", ")"}]}], "-", RowBox[{"4", " ", RowBox[{"sin", "(", "2", ")"}], " ", RowBox[{"cos", "(", "x", ")"}]}], "+", RowBox[{"4", " ", RowBox[{"sin", "(", "1", ")"}], " ", RowBox[{"sin", "(", "2", ")"}], " ", RowBox[{"cos", "(", "x", ")"}]}], "-", RowBox[{"24", " ", RowBox[{"sin", "(", "1", ")"}], " ", RowBox[{"cos", "(", "x", ")"}]}]}], ")"}]}]}], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["5) Solve functional equations", "Subsubsection"], Cell[BoxData[{ FormBox[ StyleBox[ RowBox[{ RowBox[{"f", RowBox[{"(", "x", ")"}]}], "=", RowBox[{"f", "(", RowBox[{"1", "-", "x"}], ")"}]}], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None], TraditionalForm], "\[IndentingNewLine]", FormBox[ RowBox[{ RowBox[{"f", "(", "x", ")"}], "=", RowBox[{"f", "(", RowBox[{"1", "/", "x"}], ")"}]}], TraditionalForm]}], "Input", Evaluatable->False, FontWeight->"Plain"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ StyleBox[GridBox[{ { RowBox[{ RowBox[{"f", "(", "x", ")"}], "\[LongEqual]", RowBox[{ SubscriptBox["\[ScriptC]", "2"], "+", RowBox[{ SubscriptBox["\[ScriptC]", "1"], " ", SuperscriptBox["x", "2"]}], "-", RowBox[{ SubscriptBox["\[ScriptC]", "1"], " ", "x"}]}]}]}, { RowBox[{ RowBox[{"f", "(", "x", ")"}], "\[LongEqual]", RowBox[{"\[ScriptC]", " ", SuperscriptBox["\[Pi]", RowBox[{ RowBox[{"-", "x"}], "/", "2"}]], " ", TemplateBox[{"x"}, "Zeta"], " ", TemplateBox[{FractionBox["x", "2"]}, "Gamma"]}]}]} }, GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ StyleBox[GridBox[{ { RowBox[{ RowBox[{"f", "(", "x", ")"}], "\[LongEqual]", RowBox[{"log", "(", "x", ")"}]}]}, { RowBox[{ RowBox[{"f", "(", "x", ")"}], "\[LongEqual]", RowBox[{ FractionBox["1", "2"], " ", "\[Pi]", " ", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "2"}], " ", "\[Pi]", " ", "x"}]], " ", SuperscriptBox["x", RowBox[{"5", "/", "4"}]], " ", RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"\[Pi]", " ", "x"}]], " ", RowBox[{"(", RowBox[{ RowBox[{"2", " ", "\[Pi]", " ", "x"}], "-", "3"}], ")"}], " ", RowBox[{ SuperscriptBox[ StyleBox["EllipticTheta", FontFamily->"Bitstream Vera Sans", FontSize->-1 + Inherited], TagBox[ RowBox[{"(", RowBox[{"0", ",", "0", ",", "1"}], ")"}], Derivative], MultilineFunction->None], "(", RowBox[{"3", ",", "0", ",", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "\[Pi]"}], " ", "x"}]]}], ")"}]}], "+", RowBox[{"2", " ", "\[Pi]", " ", "x", " ", RowBox[{ SuperscriptBox[ StyleBox["EllipticTheta", FontFamily->"Bitstream Vera Sans", FontSize->-1 + Inherited], TagBox[ RowBox[{"(", RowBox[{"0", ",", "0", ",", "2"}], ")"}], Derivative], MultilineFunction->None], "(", RowBox[{"3", ",", "0", ",", SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "\[Pi]"}], " ", "x"}]]}], ")"}]}]}], ")"}]}]}]} }, GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["More calculus functions", "Subsection"], Cell[CellGroupData[{ Cell["\<\ 6) Carry out Frechet derivatives\ \>", "Subsubsection"], Cell[BoxData[ FormBox[ StyleBox[ FormBox[ TagBox[ RowBox[{ FractionBox["\[Delta]", RowBox[{"\[Delta]", "\[NegativeThinSpace]", RowBox[{"f", "(", "y", ")"}]}]], RowBox[{ SubsuperscriptBox["\[Integral]", "a", "b"], RowBox[{ RowBox[{"g", "(", RowBox[{ RowBox[{"f", "(", "x", ")"}], ",", RowBox[{ SuperscriptBox["f", "\[Prime]", MultilineFunction->None], "(", "x", ")"}]}], ")"}], RowBox[{"\[DifferentialD]", "x"}]}]}]}], PolynomialForm[#, TraditionalOrder -> False]& ], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None], TraditionalForm]], "Input", Evaluatable->False, FontWeight->"Plain"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{ "\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ RowBox[{ RowBox[{"2", " ", TemplateBox[{RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"], " ", TemplateBox[{RowBox[{ RowBox[{"y", "-", RowBox[{"b", " ", TemplateBox[{ RowBox[{"a", "-", "b"}]}, "HeavisideThetaSeq"]}], "-", RowBox[{"a", " ", TemplateBox[{ RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"]}]}], ",", RowBox[{ RowBox[{"-", "y"}], "+", RowBox[{"a", " ", TemplateBox[{ RowBox[{"a", "-", "b"}]}, "HeavisideThetaSeq"]}], "+", RowBox[{"b", " ", TemplateBox[{ RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"]}]}]}]}, "HeavisideThetaSeq"], " ", RowBox[{ SuperscriptBox["g", TagBox[ RowBox[{"(", RowBox[{"1", ",", "0"}], ")"}], Derivative], MultilineFunction->None], "(", RowBox[{ RowBox[{"f", "(", "y", ")"}], ",", RowBox[{ SuperscriptBox["f", "\[Prime]", MultilineFunction->None], "(", "y", ")"}]}], ")"}]}], "-", RowBox[{ TemplateBox[{RowBox[{ RowBox[{"y", "-", RowBox[{"b", " ", TemplateBox[{ RowBox[{"a", "-", "b"}]}, "HeavisideThetaSeq"]}], "-", RowBox[{"a", " ", TemplateBox[{ RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"]}]}], ",", RowBox[{ RowBox[{"-", "y"}], "+", RowBox[{"a", " ", TemplateBox[{ RowBox[{"a", "-", "b"}]}, "HeavisideThetaSeq"]}], "+", RowBox[{"b", " ", TemplateBox[{ RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"]}]}]}]}, "HeavisideThetaSeq"], " ", RowBox[{ SuperscriptBox["g", TagBox[ RowBox[{"(", RowBox[{"1", ",", "0"}], ")"}], Derivative], MultilineFunction->None], "(", RowBox[{ RowBox[{"f", "(", "y", ")"}], ",", RowBox[{ SuperscriptBox["f", "\[Prime]", MultilineFunction->None], "(", "y", ")"}]}], ")"}]}], "-", RowBox[{"2", " ", TemplateBox[{RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"], " ", RowBox[{ SuperscriptBox["f", "\[Prime]", MultilineFunction->None], "(", "y", ")"}], " ", TemplateBox[{RowBox[{"y", "-", RowBox[{"b", " ", TemplateBox[{ RowBox[{"a", "-", "b"}]}, "HeavisideThetaSeq"]}], "-", RowBox[{"a", " ", TemplateBox[{ RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"]}]}]}, "HeavisideThetaSeq"], " ", TemplateBox[{RowBox[{ RowBox[{"-", "y"}], "+", RowBox[{"a", " ", TemplateBox[{ RowBox[{"a", "-", "b"}]}, "HeavisideThetaSeq"]}], "+", RowBox[{"b", " ", TemplateBox[{ RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"]}]}]}, "HeavisideThetaSeq"], " ", RowBox[{ SuperscriptBox["g", TagBox[ RowBox[{"(", RowBox[{"1", ",", "1"}], ")"}], Derivative], MultilineFunction->None], "(", RowBox[{ RowBox[{"f", "(", "y", ")"}], ",", RowBox[{ SuperscriptBox["f", "\[Prime]", MultilineFunction->None], "(", "y", ")"}]}], ")"}]}], "+", RowBox[{ RowBox[{ SuperscriptBox["f", "\[Prime]", MultilineFunction->None], "(", "y", ")"}], " ", TemplateBox[{RowBox[{"y", "-", RowBox[{"b", " ", TemplateBox[{ RowBox[{"a", "-", "b"}]}, "HeavisideThetaSeq"]}], "-", RowBox[{"a", " ", TemplateBox[{ RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"]}]}]}, "HeavisideThetaSeq"], " ", TemplateBox[{RowBox[{ RowBox[{"-", "y"}], "+", RowBox[{"a", " ", TemplateBox[{ RowBox[{"a", "-", "b"}]}, "HeavisideThetaSeq"]}], "+", RowBox[{"b", " ", TemplateBox[{ RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"]}]}]}, "HeavisideThetaSeq"], " ", RowBox[{ SuperscriptBox["g", TagBox[ RowBox[{"(", RowBox[{"1", ",", "1"}], ")"}], Derivative], MultilineFunction->None], "(", RowBox[{ RowBox[{"f", "(", "y", ")"}], ",", RowBox[{ SuperscriptBox["f", "\[Prime]", MultilineFunction->None], "(", "y", ")"}]}], ")"}]}], "-", RowBox[{"2", " ", TemplateBox[{RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"], " ", RowBox[{ SuperscriptBox["f", "\[Prime]\[Prime]", MultilineFunction->None], "(", "y", ")"}], " ", TemplateBox[{RowBox[{"y", "-", RowBox[{"b", " ", TemplateBox[{ RowBox[{"a", "-", "b"}]}, "HeavisideThetaSeq"]}], "-", RowBox[{"a", " ", TemplateBox[{ RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"]}]}]}, "HeavisideThetaSeq"], " ", TemplateBox[{RowBox[{ RowBox[{"-", "y"}], "+", RowBox[{"a", " ", TemplateBox[{ RowBox[{"a", "-", "b"}]}, "HeavisideThetaSeq"]}], "+", RowBox[{"b", " ", TemplateBox[{ RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"]}]}]}, "HeavisideThetaSeq"], " ", RowBox[{ SuperscriptBox["g", TagBox[ RowBox[{"(", RowBox[{"0", ",", "2"}], ")"}], Derivative], MultilineFunction->None], "(", RowBox[{ RowBox[{"f", "(", "y", ")"}], ",", RowBox[{ SuperscriptBox["f", "\[Prime]", MultilineFunction->None], "(", "y", ")"}]}], ")"}]}], "+", RowBox[{ RowBox[{ SuperscriptBox["f", "\[Prime]\[Prime]", MultilineFunction->None], "(", "y", ")"}], " ", TemplateBox[{RowBox[{"y", "-", RowBox[{"b", " ", TemplateBox[{ RowBox[{"a", "-", "b"}]}, "HeavisideThetaSeq"]}], "-", RowBox[{"a", " ", TemplateBox[{ RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"]}]}]}, "HeavisideThetaSeq"], " ", TemplateBox[{RowBox[{ RowBox[{"-", "y"}], "+", RowBox[{"a", " ", TemplateBox[{ RowBox[{"a", "-", "b"}]}, "HeavisideThetaSeq"]}], "+", RowBox[{"b", " ", TemplateBox[{ RowBox[{"b", "-", "a"}]}, "HeavisideThetaSeq"]}]}]}, "HeavisideThetaSeq"], " ", RowBox[{ SuperscriptBox["g", TagBox[ RowBox[{"(", RowBox[{"0", ",", "2"}], ")"}], Derivative], MultilineFunction->None], "(", RowBox[{ RowBox[{"f", "(", "y", ")"}], ",", RowBox[{ SuperscriptBox["f", "\[Prime]", MultilineFunction->None], "(", "y", ")"}]}], ")"}]}], "-", RowBox[{ TemplateBox[{RowBox[{"a", "-", "y"}]}, "DiracDeltaSeq"], " ", RowBox[{ SuperscriptBox["g", TagBox[ RowBox[{"(", RowBox[{"0", ",", "1"}], ")"}], Derivative], MultilineFunction->None], "(", RowBox[{ RowBox[{"f", "(", "a", ")"}], ",", RowBox[{ SuperscriptBox["f", "\[Prime]", MultilineFunction->None], "(", "a", ")"}]}], ")"}]}], "+", RowBox[{ TemplateBox[{RowBox[{"b", "-", "y"}]}, "DiracDeltaSeq"], " ", RowBox[{ SuperscriptBox["g", TagBox[ RowBox[{"(", RowBox[{"0", ",", "1"}], ")"}], Derivative], MultilineFunction->None], "(", RowBox[{ RowBox[{"f", "(", "b", ")"}], ",", RowBox[{ SuperscriptBox["f", "\[Prime]", MultilineFunction->None], "(", "b", ")"}]}], ")"}]}]}], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["\<\ 7) Additional special functions\ \>", "Subsubsection"], Cell[TextData[{ "Uehling potential (", ButtonBox["arxiv:1110.3433", BaseStyle->"Hyperlink", ButtonData->{ URL["http://arxiv.org/pdf/1110.3433v1"], None}, ButtonNote->"http://arxiv.org/pdf/1110.3433v1"], ")" }], "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ RowBox[{ RowBox[{ FractionBox["1", "2"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", FractionBox[ SuperscriptBox["x", "2"], "12"]}], "-", FractionBox["5", "6"]}], ")"}], " ", TagBox[ RowBox[{ SubsuperscriptBox[ TagBox["G", MeijerG], RowBox[{"1", ",", "3"}], RowBox[{"3", ",", "0"}]], "\[InvisibleApplication]", RowBox[{"(", RowBox[{ TagBox[ RowBox[{ TagBox[ FractionBox["x", "2"], MeijerG, Editable->True, Selectable->True], ",", TagBox[ FractionBox["1", "2"], MeijerG, Editable->True, Selectable->True]}], MeijerG], "\[VerticalSeparator]", GridBox[{ { TagBox[ FractionBox["3", "2"], MeijerG, Editable->True, Selectable->True]}, { RowBox[{ TagBox["0", MeijerG, Editable->True, Selectable->True], ",", TagBox[ FractionBox["1", "2"], MeijerG, Editable->True, Selectable->True], ",", TagBox["1", MeijerG, Editable->True, Selectable->True]}]} }]}], ")"}]}], MeijerG, Editable->False, Selectable->False]}], "+", RowBox[{ FractionBox["1", "24"], " ", "\[Pi]", " ", "x", " ", RowBox[{"(", RowBox[{ RowBox[{"x", " ", TemplateBox[{RowBox[{"-", "1"}],"x"}, "StruveL"], " ", TemplateBox[{"0","x"}, "BesselK"]}], "+", RowBox[{"x", " ", TemplateBox[{"0","x"}, "StruveL"], " ", TemplateBox[{"1","x"}, "BesselK"]}], "-", "1"}], ")"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ FractionBox[ SuperscriptBox["x", "2"], "12"], "+", "1"}], ")"}], " ", TemplateBox[{"0","x"}, "BesselK"]}]}], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]], Cell["Minkowski ? function", "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ FractionBox["2047", "1048576"], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["\<\ Units, unit conversions, and physical quantities\ \>", "Subsection"], Cell[CellGroupData[{ Cell["8) Dimensional analysis", "Subsubsection"], Cell["\<\ G. I Taylor (1951) Trinity test yield approximation\ \>", "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "2"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ StyleBox[ FractionBox[ RowBox[{ SuperscriptBox["\<\"[pressure]\"\>", "5"], " ", SuperscriptBox["\<\"[time]\"\>", "6"]}], RowBox[{ SuperscriptBox["\<\"[energy]\"\>", "2"], " ", SuperscriptBox["\<\"[mass density]\"\>", "3"]}]], StripOnInput->False, ScriptSizeMultipliers->{1, 0.71}], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Having fun exploring", "Subsection"], Cell[CellGroupData[{ Cell[TextData[{ "9) Finding anthropological ", StyleBox["coincidences", FontSlant->"Italic"], "(?)" }], "Subsubsection"], Cell["The importance of the number 42", "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ StyleBox[GridBox[{ {"42"}, { StyleBox[ RowBox[{"\<\"(\"\>", "\[NoBreak]", RowBox[{"\<\"according to Douglas Adams' humorous \ science\[Hyphen]fiction novel \"\>", "\[InvisibleSpace]", StyleBox["\<\"The Hitchhiker's Guide to the Galaxy\"\>", StripOnInput->False, FontSlant->Italic]}], "\[NoBreak]", "\<\")\"\>"}], StripOnInput->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}, LineColor->GrayLevel[0.5], FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], GraphicsColor->GrayLevel[0.5], FontFamily->"Verdana", FontSize->10, FontColor->GrayLevel[0.5]]} }, GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ "q", " ", "=", " ", "\"\\""}], "}"}], ",", "\[IndentingNewLine]", " ", RowBox[{"Column", "[", RowBox[{"{", RowBox[{ RowBox[{"WolframAlpha", "[", RowBox[{"q", ",", RowBox[{"IncludePods", "\[Rule]", "\"\\""}], ",", RowBox[{"AppearanceElements", "\[Rule]", RowBox[{"{", "\"\\"", "}"}]}]}], "]"}], ",", "\[IndentingNewLine]", " ", RowBox[{"WolframAlpha", "[", RowBox[{"q", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]}], "}"}], "]"}]}], "]"}]], "Input"], Cell[BoxData[ TagBox[GridBox[{ { NamespaceBox["WolframAlphaQueryResults", DynamicModuleBox[{Typeset`q$$ = "round(log3(diameter of the observable universe / diameter of \ earth))?", Typeset`opts$$ = { AppearanceElements -> {"Pods"}, IncludePods -> "Input"}, Typeset`elements$$ = {"Pods"}, Typeset`pod1$$ = XMLElement[ "pod", {"title" -> "Input interpretation", "scanner" -> "Identity", "id" -> "Input", "position" -> "100", "error" -> "false", "numsubpods" -> "1"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ TagBox[ RowBox[{ TagBox[ StyleBox[ "Round", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], HoldForm], "[", TemplateBox[{"3", FractionBox[ FormBox[ TagBox[ "\"diameter of the observable universe\"", Identity], TraditionalForm], FormBox[ TagBox[ GridBox[{{ StyleBox[ TagBox[ GridBox[{{ StyleBox[ TagBox[ TagBox["\"Earth\"", $CellContext`TagBoxWrapper[ "Entity" -> {AstronomicalData, "Earth"}]], Identity], { LineIndent -> 0, LineSpacing -> {0.9, 0, 1.5}}], "\"average diameter\""}}, GridBoxBackground -> {"Columns" -> { GrayLevel[0.949], None}, "Rows" -> {{None}}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, ColumnsEqual -> False, RowsEqual -> False, GridBoxDividers -> {"Columns" -> { GrayLevel[0.84], GrayLevel[0.84], GrayLevel[0.84]}, "Rows" -> {{ GrayLevel[0.84]}}, "RowsIndexed" -> { 1 -> GrayLevel[0.84], -1 -> GrayLevel[0.84]}}, GridBoxSpacings -> { "Columns" -> {1, 1, 1}, "Rows" -> {{0.3}}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AllowScriptLevelChange -> False], $CellContext`TagBoxWrapper["Separator" -> " | "]], LineSpacing -> {1, 0, 1.5}, LineIndent -> 0]}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, ColumnsEqual -> False, RowsEqual -> False, GridBoxSpacings -> {"Columns" -> {{ AbsoluteThickness[-1]}}, "Rows" -> {{0}}}, AllowScriptLevelChange -> False], $CellContext`TagBoxWrapper["Separator" -> " | "]], TraditionalForm]]}, "Log", DisplayFunction -> (RowBox[{ SubscriptBox["log", #], "(", #2, ")"}]& )], "]"}], PolynomialForm[#, TraditionalOrder -> False]& ], TraditionalForm]], "Output"]}], XMLElement["dataformats", {}, {"plaintext"}]}], XMLElement["infos", {"count" -> "1"}, { XMLElement[ "info", {"text" -> "log_b(x) is the base- b logarithm"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Log.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/ElementaryFunctions/Log2", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/Logarithm.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{ SubscriptBox["log", "b"], "(", "x", ")"}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the base-\"", StyleBox[ "b", FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"logarithm\""}, "Row", DisplayFunction -> ( RowBox[{#, " ", #2, " ", #3, " ", #4}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}]}]}], Typeset`aux1$$ = {True, False, {False}, True}, Typeset`asyncpods$$ = {}, Typeset`nonpods$$ = { XMLElement["assumptions", {"count" -> "1"}, { XMLElement[ "assumption", { "type" -> "SubCategory", "word" -> "diameter", "count" -> "3"}, { XMLElement[ "value", { "name" -> "Diameter", "desc" -> "average diameter", "input" -> "*DPClash.AstronomicalP.diameter-_*Diameter-"}, {}], XMLElement[ "value", { "name" -> "EquatorialDiameter", "desc" -> "equatorial diameter", "input" -> "*DPClash.AstronomicalP.diameter-_*EquatorialDiameter-"}, {}], XMLElement[ "value", { "name" -> "PolarDiameter", "desc" -> "polar diameter", "input" -> "*DPClash.AstronomicalP.diameter-_*PolarDiameter-"}, {}]}]}], XMLElement["sources", {"count" -> "1"}, { XMLElement[ "source", { "url" -> "http://www.wolframalpha.com/sources/\ AstronomicalDataSourceInformationNotes.html", "text" -> "Astronomical data"}, {}]}]}, Typeset`initdone$$ = True, Typeset`queryinfo$$ = { "success" -> "true", "error" -> "false", "numpods" -> "1", "datatypes" -> "Astronomical", "timedout" -> "", "timing" -> "1.059", "parsetiming" -> "0.78", "parsetimedout" -> "false", "recalculate" -> "", "id" -> "MSP14319hee4h75h98ch7g00002c8hd5a3ch8h98ag&s=57", "related" -> "http://www4d.wolframalpha.com/api/v2/relatedQueries.jsp?id=\ MSP14419hee4h75h98ch7g000039d3efe6be18i030&s=57", "version" -> "2.1"}, Typeset`sessioninfo$$ = { "TimeZone" -> -5., "Date" -> {2011, 10, 16, 22, 10, 18.92399`8.029587694132845}, "Line" -> 17, "SessionID" -> 23119735929452804424}, Typeset`showpods$$ = {1}, Typeset`failedpods$$ = {}, Typeset`chosen$$ = {}, Typeset`open$$ = False, Typeset`newq$$ = "round(log3(diameter of the observable universe / diameter of \ earth))?"}, DynamicBox[ToBoxes[ AlphaIntegration`FormatAlphaResults[ Dynamic[{ 1, {Typeset`pod1$$}, {Typeset`aux1$$}, Typeset`chosen$$, Typeset`open$$, Typeset`elements$$, Typeset`q$$, Typeset`opts$$, Typeset`nonpods$$, Typeset`queryinfo$$, Typeset`sessioninfo$$, Typeset`showpods$$, Typeset`failedpods$$, Typeset`newq$$}]], StandardForm], ImageSizeCache->{974., {58., 65.}}, TrackedSymbols:>{Typeset`showpods$$, Typeset`failedpods$$}], DynamicModuleValues:>{}, Initialization:>If[ Not[Typeset`initdone$$], WolframAlphaClient`Private`doAsyncUpdates[ Hold[{Typeset`pod1$$}], Typeset`asyncpods$$, Dynamic[Typeset`failedpods$$]]; Typeset`asyncpods$$ = {}; Typeset`initdone$$ = True], SynchronousInitialization->False], BaseStyle->{Deployed -> True}, DeleteWithContents->True, Editable->False, SelectWithContents->True]}, { StyleBox[ FormBox["42", TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]} }, GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"]], "Output"] }, Open ]] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", "\"\<(mass of bottom quark in MeV/c^2)/(10^2 MeV/c^2)\>\"", "]"}]], "Input"], Cell[BoxData[ NamespaceBox["WolframAlphaQueryResults", DynamicModuleBox[{Typeset`q$$ = "(mass of bottom quark in MeV/c^2)/(10^2 MeV/c^2)", Typeset`opts$$ = { AppearanceElements -> { "Warnings", "Assumptions", "Brand", "Pods", "PodMenus", "Unsuccessful", "Sources"}}, Typeset`elements$$ = { "Warnings", "Assumptions", "Brand", "Pods", "PodMenus", "Unsuccessful", "Sources"}, Typeset`pod1$$ = XMLElement[ "pod", {"title" -> "Input interpretation", "scanner" -> "Identity", "id" -> "Input", "position" -> "100", "error" -> "false", "numsubpods" -> "1"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ TagBox[ FractionBox[ TagBox[ TemplateBox[{ StyleBox[ "\"convert \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, GrayLevel[0.6], StripOnInput -> False], TagBox[ FormBox[ TagBox[ GridBox[{{ StyleBox[ TagBox[ GridBox[{{ StyleBox[ StyleBox[ TemplateBox[{ TagBox[ TagBox["b", $CellContext`TagBoxWrapper[ "Entity" -> {ParticleData, "BottomQuark"}]], Identity], "\" \"", StyleBox[ RowBox[{"\"(\"", "\[NoBreak]", "\"bottom quark\"", "\[NoBreak]", "\")\""}], LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, GrayLevel[0.6], StripOnInput -> False]}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3}]& ), InterpretationFunction -> (RowBox[{ TagBox[ StyleBox["Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], HoldForm], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3}], "}"}], "]"}]& )], LineIndent -> 0], { LineIndent -> 0, LineSpacing -> {0.9, 0, 1.5}}], "\"mass\""}}, GridBoxBackground -> {"Columns" -> { GrayLevel[0.949], None}, "Rows" -> {{None}}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, ColumnsEqual -> False, RowsEqual -> False, GridBoxDividers -> {"Columns" -> { GrayLevel[0.84], GrayLevel[0.84], GrayLevel[0.84]}, "Rows" -> {{ GrayLevel[0.84]}}, "RowsIndexed" -> { 1 -> GrayLevel[0.84], -1 -> GrayLevel[0.84]}}, GridBoxSpacings -> { "Columns" -> {1, 1, 1}, "Rows" -> {{0.3}}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AllowScriptLevelChange -> False], $CellContext`TagBoxWrapper["Separator" -> " | "]], LineSpacing -> {1, 0, 1.5}, LineIndent -> 0]}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, ColumnsEqual -> False, RowsEqual -> False, GridBoxSpacings -> {"Columns" -> {{ AbsoluteThickness[-1]}}, "Rows" -> {{0}}}, AllowScriptLevelChange -> False], $CellContext`TagBoxWrapper["Separator" -> " | "]], TraditionalForm], HoldForm], StyleBox[ "\" to \"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, GrayLevel[0.6], StripOnInput -> False], TagBox[ StyleBox[ "\"megaelectronvolts per speed of light squared\"", FontFamily -> "Helvetica", FontSize -> Smaller, StripOnInput -> False], HoldForm]}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3, "\[InvisibleSpace]", #4}]& ), InterpretationFunction -> (RowBox[{ TagBox[ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], HoldForm], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4}], "}"}], "]"}]& )], #& , SyntaxForm -> Plus], StyleBox[ TagBox[ TagBox[ RowBox[{ SuperscriptBox["10", "2"], "\[InvisibleSpace]", StyleBox[ RowBox[{}], FontFamily -> "Helvetica", FontSize -> Smaller], "\[InvisibleSpace]", "\[ThickSpace]", "\[InvisibleSpace]", StyleBox[ RowBox[{ "\"MeV\"", "\[InvisibleSpace]", "\"/\"", "\[InvisibleSpace]", SuperscriptBox["c", "2"]}], FontFamily -> "Helvetica", FontSize -> Smaller]}], Identity], #& , SyntaxForm -> Dot], LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, ZeroWidthTimes -> False]], PolynomialForm[#, TraditionalOrder -> False]& ], TraditionalForm]], "Output"]}], XMLElement["dataformats", {}, {"plaintext"}]}]}], Typeset`pod2$$ = XMLElement[ "pod", {"title" -> "Result", "scanner" -> "Data", "id" -> "Result", "position" -> "200", "error" -> "false", "numsubpods" -> "1", "primary" -> "true"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ StyleBox[ TagBox[ RowBox[{ TagBox["42", $CellContext`TagBoxWrapper["StringBoxes" -> "42"]], "\[InvisibleSpace]", " ", StyleBox[ "\"\"", LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, StripOnInput -> False]}], #& , SyntaxForm -> Dot], LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, ZeroWidthTimes -> False], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,moutput,computabledata,formatteddata,numberdata,\ quantitydata"}]}], XMLElement["states", {"count" -> "1"}, { XMLElement[ "state", { "name" -> "Show details", "input" -> "Result__Show details"}, {}]}]}], Typeset`aux1$$ = {True, False, {False}, True}, Typeset`aux2$$ = { True, False, {False}, True}, Typeset`asyncpods$$ = {}, Typeset`nonpods$$ = { XMLElement["sources", {"count" -> "1"}, { XMLElement[ "source", { "url" -> "http://www.wolframalpha.com/sources/\ ParticleDataSourceInformationNotes.html", "text" -> "Particle data"}, {}]}]}, Typeset`initdone$$ = True, Typeset`queryinfo$$ = { "success" -> "true", "error" -> "false", "numpods" -> "2", "datatypes" -> "Math,Particle", "timedout" -> "", "timing" -> "0.994", "parsetiming" -> "0.653", "parsetimedout" -> "false", "recalculate" -> "", "id" -> "MSP272419hee298766h260b00000h1g7efg9209cff3&s=1", "related" -> "http://www4d.wolframalpha.com/api/v2/relatedQueries.jsp?id=\ MSP272519hee298766h260b000013iefbhgd93ha7d3&s=1", "version" -> "2.1"}, Typeset`sessioninfo$$ = { "TimeZone" -> -5., "Date" -> {2011, 10, 16, 22, 10, 22.336255`8.101585342217634}, "Line" -> 18, "SessionID" -> 23119735929452804424}, Typeset`showpods$$ = {1, 2}, Typeset`failedpods$$ = {}, Typeset`chosen$$ = {}, Typeset`open$$ = False, Typeset`newq$$ = "(mass of bottom quark in MeV/c^2)/(10^2 MeV/c^2)"}, DynamicBox[ToBoxes[ AlphaIntegration`FormatAlphaResults[ Dynamic[{ 1, {Typeset`pod1$$, Typeset`pod2$$}, {Typeset`aux1$$, Typeset`aux2$$}, Typeset`chosen$$, Typeset`open$$, Typeset`elements$$, Typeset`q$$, Typeset`opts$$, Typeset`nonpods$$, Typeset`queryinfo$$, Typeset`sessioninfo$$, Typeset`showpods$$, Typeset`failedpods$$, Typeset`newq$$}]], StandardForm], ImageSizeCache->{988., {86., 94.}}, TrackedSymbols:>{Typeset`showpods$$, Typeset`failedpods$$}], DynamicModuleValues:>{}, Initialization:>If[ Not[Typeset`initdone$$], WolframAlphaClient`Private`doAsyncUpdates[ Hold[{Typeset`pod1$$, Typeset`pod2$$}], Typeset`asyncpods$$, Dynamic[Typeset`failedpods$$]]; Typeset`asyncpods$$ = {}; Typeset`initdone$$ = True], SynchronousInitialization->False], BaseStyle->{Deployed -> True}, DeleteWithContents->True, Editable->False, SelectWithContents->True]], "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", "\"\\"", "]"}]], "Input"], Cell[BoxData[ NamespaceBox["WolframAlphaQueryResults", DynamicModuleBox[{Typeset`q$$ = "ceiling(log_8((size of universe)/(Bohr radius)))", Typeset`opts$$ = { AppearanceElements -> { "Warnings", "Assumptions", "Brand", "Pods", "PodMenus", "Unsuccessful", "Sources"}}, Typeset`elements$$ = { "Warnings", "Assumptions", "Brand", "Pods", "PodMenus", "Unsuccessful", "Sources"}, Typeset`pod1$$ = XMLElement[ "pod", {"title" -> "Input interpretation", "scanner" -> "Identity", "id" -> "Input", "position" -> "100", "error" -> "false", "numsubpods" -> "1"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ TagBox[ TemplateBox[{ TemplateBox[{"8", FractionBox[ FormBox[ TagBox[ "\"diameter of the observable universe\"", Identity], TraditionalForm], StyleBox[ TagBox[ RowBox[{ StyleBox[ SubscriptBox["a", "0"], FontFamily -> "Helvetica", FontSize -> Smaller], " ", StyleBox[ RowBox[{ "\"(\"", "\[NoBreak]", "\"Bohr radius\"", "\[NoBreak]", "\")\""}], LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, { FontFamily -> "Helvetica", FontSize -> Smaller}, GrayLevel[0.6], StripOnInput -> False]}], Identity], LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, ZeroWidthTimes -> False]]}, "Log", DisplayFunction -> (RowBox[{ SubscriptBox["log", #], "(", #2, ")"}]& )]}, "Ceiling"], PolynomialForm[#, TraditionalOrder -> False]& ], TraditionalForm]], "Output"]}], XMLElement["dataformats", {}, {"plaintext"}]}], XMLElement["infos", {"count" -> "2"}, { XMLElement["info", {"text" -> "log_b(x) is the base- b logarithm"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Log.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/ElementaryFunctions/Log2", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/Logarithm.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{ SubscriptBox["log", "b"], "(", "x", ")"}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the base-\"", StyleBox[ "b", FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"logarithm\""}, "Row", DisplayFunction -> ( RowBox[{#, " ", #2, " ", #3, " ", #4}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement[ "info", { "text" -> "\[LeftCeiling]x\[RightCeiling] is the ceiling function"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Ceiling.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/IntegerFunctions/Ceiling", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/CeilingFunction.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TemplateBox[{"x"}, "Ceiling"], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the ceiling function\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}]}]}], Typeset`pod2$$ = XMLElement[ "pod", {"title" -> "Result", "scanner" -> "Data", "id" -> "Result", "position" -> "200", "error" -> "false", "numsubpods" -> "1", "primary" -> "true"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ TagBox[ GridBox[{{"42"}, { StyleBox[ RowBox[{"\"(\"", "\[NoBreak]", TemplateBox[{ "\"It is not however known if the size of the \"", StyleBox["\"entire\"", Italic, StripOnInput -> False], "\" universe is finite or infinite.\""}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3}], "}"}], "]"}]& )], "\[NoBreak]", "\")\""}], LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineIndent -> 0, {FontFamily -> "Verdana", FontSize -> 10}, GrayLevel[0.5], StripOnInput -> False]}}, GridBoxAlignment -> {"Columns" -> {{Left}}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, {"plaintext,computabledata,formatteddata"}]}], XMLElement["states", {"count" -> "1"}, { XMLElement[ "state", { "name" -> "Show details", "input" -> "Result__Show details"}, {}]}]}], Typeset`aux1$$ = {True, False, {False}, True}, Typeset`aux2$$ = { True, False, {False}, True}, Typeset`asyncpods$$ = {}, Typeset`nonpods$$ = {}, Typeset`initdone$$ = True, Typeset`queryinfo$$ = { "success" -> "true", "error" -> "false", "numpods" -> "2", "datatypes" -> "", "timedout" -> "", "timing" -> "1.135", "parsetiming" -> "0.885", "parsetimedout" -> "false", "recalculate" -> "", "id" -> "MSP26219hee4gdhc38ghi10000341ei890b7179h8b&s=22", "related" -> "http://www4d.wolframalpha.com/api/v2/relatedQueries.jsp?id=\ MSP26319hee4gdhc38ghi10000253825ehee090f81&s=22", "version" -> "2.1"}, Typeset`sessioninfo$$ = { "TimeZone" -> -5., "Date" -> {2011, 10, 16, 22, 10, 24.192288`8.13625192657662}, "Line" -> 19, "SessionID" -> 23119735929452804424}, Typeset`showpods$$ = {1, 2}, Typeset`failedpods$$ = {}, Typeset`chosen$$ = {}, Typeset`open$$ = False, Typeset`newq$$ = "ceiling(log_8((size of universe)/(Bohr radius)))"}, DynamicBox[ToBoxes[ AlphaIntegration`FormatAlphaResults[ Dynamic[{ 1, {Typeset`pod1$$, Typeset`pod2$$}, {Typeset`aux1$$, Typeset`aux2$$}, Typeset`chosen$$, Typeset`open$$, Typeset`elements$$, Typeset`q$$, Typeset`opts$$, Typeset`nonpods$$, Typeset`queryinfo$$, Typeset`sessioninfo$$, Typeset`showpods$$, Typeset`failedpods$$, Typeset`newq$$}]], StandardForm], ImageSizeCache->{988., {119., 127.}}, TrackedSymbols:>{Typeset`showpods$$, Typeset`failedpods$$}], DynamicModuleValues:>{}, Initialization:>If[ Not[Typeset`initdone$$], WolframAlphaClient`Private`doAsyncUpdates[ Hold[{Typeset`pod1$$, Typeset`pod2$$}], Typeset`asyncpods$$, Dynamic[Typeset`failedpods$$]]; Typeset`asyncpods$$ = {}; Typeset`initdone$$ = True], SynchronousInitialization->False], BaseStyle->{Deployed -> True}, DeleteWithContents->True, Editable->False, SelectWithContents->True]], "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ "q", " ", "=", "\"\<-log_11( vitamin C in a trillion of brats / dietary fiber in a \ cubic light year of sauerkraut)\>\""}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"Column", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"WolframAlpha", "[", RowBox[{"q", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}], ",", RowBox[{"WolframAlpha", "[", RowBox[{"q", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]}], "}"}], ",", " ", "\[IndentingNewLine]", RowBox[{"Dividers", "\[Rule]", "All"}]}], "]"}]}], "]"}]], "Input"], Cell[BoxData[ TagBox[GridBox[{ { StyleBox[ FormBox[ TagBox[ RowBox[{"-", TemplateBox[{"11",FractionBox[ FormBox[ GridBox[{{ StyleBox[ GridBox[{{ StyleBox[ StyleBox[ "\"bratwurst\"", StripOnInput -> False, LineIndent -> 0, LinebreakAdjustments -> {1, 100, 1, 0, 100}], LineSpacing -> {0.9, 0, 1.5}, LineIndent -> 0], StyleBox[ "\"amount\"", LineColor -> GrayLevel[0.6], FrontFaceColor -> GrayLevel[0.6], BackFaceColor -> GrayLevel[0.6], GraphicsColor -> GrayLevel[0.6], FontColor -> GrayLevel[0.6]], StyleBox[ RowBox[{ RowBox[{"1", " ", TagBox[ StyleBox[ "\"trillion\"", StripOnInput -> False, ShowStringCharacters -> False, LineIndent -> 0, LinebreakAdjustments -> {1, 100, 1, 0, 100}, FontFamily -> "Helvetica", FontSize -> Smaller], 1000000000000& , AutoDelete -> True]}], "\[InvisibleSpace]", " ", StyleBox[ "\"sausages\"", StripOnInput -> False, LineIndent -> 0, LinebreakAdjustments -> {1, 100, 1, 0, 100}, FontFamily -> "Helvetica", FontSize -> Smaller]}], ZeroWidthTimes -> False, LineIndent -> 0, LinebreakAdjustments -> {1, 100, 1, 0, 100}], "\"vitamin C\""}}, AllowScriptLevelChange -> False, ColumnsEqual -> False, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxBackground -> {"Columns" -> { GrayLevel[0.949], None, None, None}, "Rows" -> {{None}}}, GridBoxDividers -> {"Columns" -> { GrayLevel[0.84], GrayLevel[0.84], GrayLevel[0.84], GrayLevel[0.84], GrayLevel[0.84]}, "Rows" -> {{ GrayLevel[0.84]}}, "RowsIndexed" -> { 1 -> GrayLevel[0.84], -1 -> GrayLevel[0.84]}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {2, 2, 2, 2, 2}, "Rows" -> {{1}}}, RowsEqual -> False], LineSpacing -> {1, 0, 1.5}, LineIndent -> 0]}}, AllowScriptLevelChange -> False, ColumnsEqual -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{ AbsoluteThickness[-1]}}, "Rows" -> {{0}}}, RowsEqual -> False], TraditionalForm], FormBox[ GridBox[{{ StyleBox[ GridBox[{{ StyleBox[ StyleBox[ "\"sauerkraut\"", StripOnInput -> False, LineIndent -> 0, LinebreakAdjustments -> {1, 100, 1, 0, 100}], LineSpacing -> {0.9, 0, 1.5}, LineIndent -> 0], StyleBox[ "\"amount\"", LineColor -> GrayLevel[0.6], FrontFaceColor -> GrayLevel[0.6], BackFaceColor -> GrayLevel[0.6], GraphicsColor -> GrayLevel[0.6], FontColor -> GrayLevel[0.6]], StyleBox[ RowBox[{ "1", "\[InvisibleSpace]", "\[InvisibleSpace]", "\[ThickSpace]", "\[InvisibleSpace]", StyleBox[ SuperscriptBox["\"ly\"", "3"], FontFamily -> "Helvetica", FontSize -> Smaller], " ", StyleBox[ RowBox[{ "\"(\"", "\[NoBreak]", "\"cubic light year\"", "\[NoBreak]", "\")\""}], StripOnInput -> False, LineIndent -> 0, LinebreakAdjustments -> {1, 100, 1, 0, 100}, LineColor -> GrayLevel[0.6], FrontFaceColor -> GrayLevel[0.6], BackFaceColor -> GrayLevel[0.6], GraphicsColor -> GrayLevel[0.6], FontFamily -> "Helvetica", FontSize -> Smaller, FontColor -> GrayLevel[0.6]]}], ZeroWidthTimes -> False, LineIndent -> 0, LinebreakAdjustments -> {1, 100, 1, 0, 100}], "\"dietary fiber\""}}, AllowScriptLevelChange -> False, ColumnsEqual -> False, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxBackground -> {"Columns" -> { GrayLevel[0.949], None, None, None}, "Rows" -> {{None}}}, GridBoxDividers -> {"Columns" -> { GrayLevel[0.84], GrayLevel[0.84], GrayLevel[0.84], GrayLevel[0.84], GrayLevel[0.84]}, "Rows" -> {{ GrayLevel[0.84]}}, "RowsIndexed" -> { 1 -> GrayLevel[0.84], -1 -> GrayLevel[0.84]}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {2, 2, 2, 2, 2}, "Rows" -> {{1}}}, RowsEqual -> False], LineSpacing -> {1, 0, 1.5}, LineIndent -> 0]}}, AllowScriptLevelChange -> False, ColumnsEqual -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{ AbsoluteThickness[-1]}}, "Rows" -> {{0}}}, RowsEqual -> False], TraditionalForm]]}, "Log", DisplayFunction->(RowBox[{ SubscriptBox["log", #], "(", #2, ")"}]& )]}], PolynomialForm[#, TraditionalOrder -> False]& ], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]}, { StyleBox[ FormBox[ StyleBox[ RowBox[{"42", "\[InvisibleSpace]", " ", StyleBox["\<\"\"\>", StripOnInput->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}, FontFamily->"Helvetica", FontSize->Smaller]}], ZeroWidthTimes->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]} }, GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxDividers->{"Columns" -> {{True}}, "Rows" -> {{True}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"]], "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell["SI base unit coincidence", "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ "q", " ", "=", " ", "\"\\""}], "}"}], ",", "\[IndentingNewLine]", " ", RowBox[{"Column", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"WolframAlpha", "[", RowBox[{"q", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}], ",", " ", RowBox[{"WolframAlpha", "[", RowBox[{"q", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]}], "}"}], ",", " ", "\[IndentingNewLine]", RowBox[{"Dividers", "\[Rule]", "All"}]}], "]"}]}], "]"}]], "Input"], Cell[BoxData[ TagBox[GridBox[{ { StyleBox[ FormBox[ TagBox[ TagBox[ RowBox[{ StyleBox[ RowBox[{ TagBox[ StyleBox["c", FontFamily->"Helvetica", FontSize->Smaller], HoldForm], " ", StyleBox[ RowBox[{"\<\"(\"\>", "\[NoBreak]", "\<\"speed of light in vacuum\"\>", "\[NoBreak]", "\<\")\"\>"}], StripOnInput->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}, LineColor->GrayLevel[0.6], FrontFaceColor->GrayLevel[0.6], BackFaceColor->GrayLevel[0.6], GraphicsColor->GrayLevel[0.6], FontFamily->"Helvetica", FontSize->Smaller, FontColor->GrayLevel[0.6]]}], ZeroWidthTimes->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}], " ", StyleBox[ RowBox[{ StyleBox[ RowBox[{ "k", "\[ThinSpace]", "e", "\[InvisibleSpace]", "\<\"/\"\>", "\[InvisibleSpace]", "h"}], FontFamily->"Helvetica", FontSize->Smaller], " ", StyleBox[ RowBox[{"\<\"(\"\>", "\[NoBreak]", "\<\"Boltzmann constant elementary charge per \ Planck constant\"\>", "\[NoBreak]", "\<\")\"\>"}], StripOnInput->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}, LineColor->GrayLevel[0.6], FrontFaceColor->GrayLevel[0.6], BackFaceColor->GrayLevel[0.6], GraphicsColor->GrayLevel[0.6], FontFamily->"Helvetica", FontSize->Smaller, FontColor->GrayLevel[0.6]]}], ZeroWidthTimes->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}]}], CalculateScan`CommonFunctions`Private`crosswrapper], PolynomialForm[#, TraditionalOrder -> False]& ], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]}, { StyleBox[ FormBox[ StyleBox[ RowBox[{ "1.00083", "\[InvisibleSpace]", "\[InvisibleSpace]", "\[ThickSpace]", "\[InvisibleSpace]", StyleBox[ RowBox[{"\<\"m\"\>", "\[ThinSpace]", "\<\"A\"\>", "\[InvisibleSpace]", "\<\"/(\"\>", "\[InvisibleSpace]", "\<\"s\"\>", "\[ThinSpace]", "\<\"K\"\>", "\[InvisibleSpace]", "\<\")\"\>"}], FontFamily->"Helvetica", FontSize->Smaller], " ", StyleBox[ RowBox[{"\<\"(\"\>", "\[NoBreak]", "\<\"meter amperes per second kelvin\"\>", "\[NoBreak]", "\<\")\"\>"}], StripOnInput->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}, LineColor->GrayLevel[0.6], FrontFaceColor->GrayLevel[0.6], BackFaceColor->GrayLevel[0.6], GraphicsColor->GrayLevel[0.6], FontFamily->"Helvetica", FontSize->Smaller, FontColor->GrayLevel[0.6]]}], ZeroWidthTimes->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]} }, GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxDividers->{"Columns" -> {{True}}, "Rows" -> {{True}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"]], "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["\<\ 10) Quantify common mathematical idealizations\ \>", "Subsubsection"], Cell[TextData[StyleBox["assume a spherical cow \[Ellipsis]", FontSlant->"Italic"]], "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ "q", " ", "=", " ", "\"\\""}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"Column", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"WolframAlpha", "[", RowBox[{"q", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}], " ", ",", " ", RowBox[{"WolframAlpha", "[", RowBox[{"q", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]}], "}"}], ",", " ", "\[IndentingNewLine]", RowBox[{"Dividers", "\[Rule]", "All"}]}], "]"}]}], "]"}]], "Input"], Cell[BoxData[ TagBox[GridBox[{ { StyleBox[ FormBox[ TagBox[ FormBox[GridBox[{ { StyleBox[GridBox[{ { StyleBox["\<\"sphere\"\>", LineSpacing->{0.9, 0, 1.5}, LineIndent->0], RowBox[{ StyleBox["\<\"volume\"\>", StripOnInput->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}, LineColor->GrayLevel[0.6], FrontFaceColor->GrayLevel[0.6], BackFaceColor->GrayLevel[0.6], GraphicsColor->GrayLevel[0.6], FontColor->GrayLevel[0.6]], "\[InvisibleSpace]", "\<\" \"\>", "\[InvisibleSpace]", FormBox["\<\"average volume of human body\"\>", TraditionalForm]}], "\<\"radius\"\>"} }, AllowScriptLevelChange->False, ColumnsEqual->False, GridBoxAlignment->{ "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxBackground->{"Columns" -> { GrayLevel[0.949], None, None}, "Rows" -> {{None}}}, GridBoxDividers->{"Columns" -> { GrayLevel[0.84], GrayLevel[0.84], GrayLevel[0.84], GrayLevel[0.84]}, "Rows" -> {{ GrayLevel[0.84]}}, "RowsIndexed" -> { 1 -> GrayLevel[0.84], -1 -> GrayLevel[0.84]}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {1, 1, 1, 1}, "Rows" -> {{0.3}}}, RowsEqual->False], LineSpacing->{1, 0, 1.5}, LineIndent->0]} }, AllowScriptLevelChange->False, ColumnsEqual->False, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{ AbsoluteThickness[-1]}}, "Rows" -> {{0}}}, RowsEqual->False], TraditionalForm], PolynomialForm[#, TraditionalOrder -> False]& ], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]}, { StyleBox[ FormBox[ StyleBox[ RowBox[{"0.2512", "\[InvisibleSpace]", " ", StyleBox["\<\"meters\"\>", StripOnInput->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}, FontFamily->"Helvetica", FontSize->Smaller]}], ZeroWidthTimes->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]} }, GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxDividers->{"Columns" -> {{True}}, "Rows" -> {{True}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"]], "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["\<\ Letting Wolfram|Alpha entertain you\ \>", "Section"], Cell["\<\ Use randomly selected parts of Wolfram|Alpha results as inputs for \ Wolfram|Alpha:\ \>", "Text"], Cell[BoxData[ RowBox[{ RowBox[{"makeWASlideShow", "[", RowBox[{"startQuery_", ",", " ", "n_"}], "]"}], " ", ":=", " ", "\[IndentingNewLine]", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"counter", " ", "=", " ", "0"}], ",", " ", "allPlainTexts", ",", " ", "newQuery", ",", " ", "newPlainTexts", ",", " ", "usedPlainTexts", ",", " ", "newQueryList"}], "}"}], ",", " ", "\n", RowBox[{ RowBox[{"allPlainTexts", " ", "=", " ", RowBox[{"{", "}"}]}], ";", " ", RowBox[{"usedPlainTexts", " ", "=", " ", RowBox[{"{", "}"}]}], ";", " ", RowBox[{"newQuery", " ", "=", " ", "startQuery"}], ";", "\[IndentingNewLine]", " ", RowBox[{"While", "[", RowBox[{ RowBox[{ RowBox[{"counter", " ", "<", " ", "n"}], " ", "&&", " ", RowBox[{"newQuery", " ", "=!=", " ", "$Failed"}]}], ",", "\[IndentingNewLine]", " ", RowBox[{ RowBox[{"currentWASlide", " ", "=", " ", RowBox[{"WolframAlpha", "[", "newQuery", "]"}]}], ";", "\[IndentingNewLine]", " ", RowBox[{"newPlainTexts", " ", "=", " ", RowBox[{"WolframAlpha", "[", RowBox[{"newQuery", ",", " ", "\"\\""}], "]"}]}], ";", " ", "\[IndentingNewLine]", " ", RowBox[{"AppendTo", "[", RowBox[{"usedPlainTexts", ",", " ", "newQuery"}], "]"}], ";", "\[IndentingNewLine]", " ", RowBox[{"allPlainTexts", " ", "=", " ", RowBox[{"Union", "[", RowBox[{"Join", "[", RowBox[{"allPlainTexts", ",", " ", "newPlainTexts"}], "]"}], "]"}]}], ";", "\[IndentingNewLine]", " ", RowBox[{"counter", "++"}], ";", "\[IndentingNewLine]", " ", RowBox[{"newQueryList", " ", "=", " ", RowBox[{"Select", "[", RowBox[{ RowBox[{"RandomSample", "[", "newPlainTexts", "]"}], ",", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"WolframAlpha", "[", RowBox[{"#", ",", " ", "\"\\""}], "]"}], " ", "=!=", " ", RowBox[{"{", "}"}]}], ")"}], "&"}], ",", " ", "1"}], "]"}]}], ";", "\[IndentingNewLine]", " ", RowBox[{"newQuery", " ", "=", " ", RowBox[{"If", "[", RowBox[{ RowBox[{"newQueryList", " ", "=!=", " ", RowBox[{"{", "}"}]}], ",", " ", RowBox[{"newQueryList", "[", RowBox[{"[", "1", "]"}], "]"}], ",", "\[IndentingNewLine]", " ", RowBox[{ RowBox[{ RowBox[{"If", "[", RowBox[{ RowBox[{"#", " ", "===", " ", RowBox[{"{", "}"}]}], ",", " ", "$Failed", ",", " ", "\n", " ", RowBox[{ RowBox[{ RowBox[{"If", "[", RowBox[{ RowBox[{"#", " ", "===", " ", RowBox[{"{", "}"}]}], ",", " ", "$Failed", ",", " ", RowBox[{"#", "[", RowBox[{"[", "1", "]"}], "]"}]}], "]"}], "&"}], " ", "@", " ", "\n", " ", RowBox[{"Select", "[", RowBox[{ RowBox[{"RandomSample", "[", "#", "]"}], ",", " ", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"WolframAlpha", "[", RowBox[{"#", ",", " ", "\"\\""}], "]"}], " ", "=!=", " ", RowBox[{"{", "}"}]}], ")"}], "&"}], ",", " ", "1"}], "]"}]}]}], "]"}], "&"}], "[", " ", "\[IndentingNewLine]", " \ ", RowBox[{"Complement", "[", RowBox[{"allPlainTexts", ",", " ", "usedPlainTexts"}], "]"}], "]"}]}], "]"}]}]}]}], "\n", " ", "]"}]}]}], " ", "\[IndentingNewLine]", " ", "]"}]}]], "Code"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"Print", "[", RowBox[{"Framed", "[", RowBox[{"Dynamic", "[", "currentWASlide", "]"}], "]"}], "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"makeWASlideShow", "[", RowBox[{"\"\\"", ",", " ", "1"}], "]"}], ";"}]}], "Input"], Cell[BoxData[ FrameBox[ DynamicBox[ToBoxes[$CellContext`currentWASlide, StandardForm], ImageSizeCache->{214., {1., 17.}}], StripOnInput->False]], "Print"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["\<\ Three things I do want to talk about\ \>", "Section"], Cell["1) Use physics formulas", "Subsection"], Cell["2) Use function representations", "Subsection"], Cell["3) Identify real numbers", "Subsection"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["1) Use physics formulas", "Subsection"], Cell[CellGroupData[{ Cell["\<\ Electric potential of a charged disk\ \>", "Subsubsection"], Cell["\<\ Obtaining closed form solutions for many physics problems, especially \ multivariate ones, can be hard\ \>", "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"chargedDiskPotentialData", " ", "=", " ", RowBox[{"WolframAlpha", "[", RowBox[{ "\"\\"", ",", "\"\\"", ",", " ", RowBox[{ "IncludePods", "\[Rule]", "\"\\""}]}], "]"}]}]], "Input"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"HoldComplete", "[", TagBox[GridBox[{ {"\[Piecewise]", GridBox[{ { RowBox[{ RowBox[{"DiracDelta", "[", "z", "]"}], " ", FractionBox["Q", RowBox[{"\[Pi]", " ", SuperscriptBox["R", "2"]}]]}], RowBox[{ SqrtBox[ RowBox[{ SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}]], "\[LessEqual]", "R"}]}, {"0", TagBox["True", "PiecewiseDefault", AutoDelete->True]} }, AllowedDimensions->{2, Automatic}, Editable->True, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.84]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}, Selectable->True]} }, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.35]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "Piecewise", DeleteWithContents->True, Editable->False, SelectWithContents->True, Selectable->False], "]"}], ",", RowBox[{"HoldComplete", "[", RowBox[{"ReleaseHold", "[", RowBox[{ RowBox[{"Hold", "[", RowBox[{ FractionBox["1", RowBox[{"4", " ", "\[Pi]", " ", SubscriptBox["\[Epsilon]", "0"]}]], " ", FractionBox["Q", RowBox[{"\[Pi]", " ", SuperscriptBox["R", "2"]}]], " ", RowBox[{"(", RowBox[{ SubscriptBox["U", "D"], "+", SubscriptBox["U", "\[ImaginaryI]"]}], ")"}]}], "]"}], "//.", "\[VeryThinSpace]", RowBox[{"{", RowBox[{ RowBox[{"r", "\[RuleDelayed]", SqrtBox[ RowBox[{ SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}]]}], ",", RowBox[{"p", "\[RuleDelayed]", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"r", "+", "R"}], ")"}], "2"], "+", SuperscriptBox["z", "2"]}]]}], ",", RowBox[{"n", "\[RuleDelayed]", FractionBox[ RowBox[{"4", " ", "r", " ", "R"}], SuperscriptBox[ RowBox[{"(", RowBox[{"r", "+", "R"}], ")"}], "2"]]}], ",", RowBox[{"m", "\[RuleDelayed]", FractionBox[ RowBox[{"4", " ", "r", " ", "R"}], SuperscriptBox["p", "2"]]}], ",", RowBox[{ SubscriptBox["U", "\[ImaginaryI]"], "\[RuleDelayed]", TagBox[GridBox[{ {"\[Piecewise]", GridBox[{ { RowBox[{ RowBox[{"-", "2"}], " ", "\[Pi]", " ", RowBox[{"Abs", "[", "z", "]"}]}], RowBox[{"r", "\[LessEqual]", "R"}]}, {"0", TagBox["True", "PiecewiseDefault", AutoDelete->True]} }, AllowedDimensions->{2, Automatic}, Editable->True, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.84]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}, Selectable->True]} }, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.35]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "Piecewise", DeleteWithContents->True, Editable->False, SelectWithContents->True, Selectable->False]}], ",", RowBox[{ SubscriptBox["U", "D"], "\[RuleDelayed]", RowBox[{ FractionBox["2", "p"], " ", RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["p", "2"], " ", RowBox[{"EllipticE", "[", "m", "]"}]}], "-", RowBox[{ RowBox[{"(", RowBox[{ SuperscriptBox["r", "2"], "-", SuperscriptBox["R", "2"]}], ")"}], " ", RowBox[{"EllipticK", "[", "m", "]"}]}], "-", RowBox[{ SuperscriptBox["z", "2"], " ", FractionBox[ RowBox[{"r", "-", "R"}], RowBox[{"r", "+", "R"}]], " ", RowBox[{"EllipticPi", "[", RowBox[{"n", ",", "m"}], "]"}]}]}], ")"}]}]}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"HoldComplete", "[", "Q", "]"}]}], "}"}]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"\[CapitalPhi]", " ", "=", " ", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"chargedDiskPotentialData", "[", RowBox[{"[", RowBox[{"2", ",", " ", "1", ",", " ", "1", ",", " ", "1"}], "]"}], "]"}], " ", "[", RowBox[{"[", "1", "]"}], "]"}], " ", "//.", " ", RowBox[{"chargedDiskPotentialData", "[", RowBox[{"[", RowBox[{"2", ",", " ", "1", ",", " ", "1", ",", " ", "2"}], "]"}], "]"}]}], ")"}], " ", "//.", " ", "\[IndentingNewLine]", " ", RowBox[{"{", RowBox[{ RowBox[{"Q", " ", "\[Rule]", " ", "1"}], ",", " ", RowBox[{ SubscriptBox["\[Epsilon]", "0"], " ", "\[Rule]", " ", "1"}], ",", " ", RowBox[{"R", "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{ RowBox[{"x", "^", "2"}], " ", "+", " ", RowBox[{"y", "^", "2"}]}], " ", "\[Rule]", " ", RowBox[{"r", "^", "2"}]}]}], "}"}]}]}]], "Input"], Cell[BoxData[ RowBox[{ FractionBox["1", RowBox[{"4", " ", SuperscriptBox["\[Pi]", "2"]}]], RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"1", "/", RowBox[{"(", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", SqrtBox[ SuperscriptBox["r", "2"]]}], ")"}], "2"], "+", SuperscriptBox["z", "2"]}]], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", SqrtBox[ SuperscriptBox["r", "2"]]}], ")"}], "2"], "+", SuperscriptBox["z", "2"]}], ")"}], " ", RowBox[{"EllipticE", "[", FractionBox[ RowBox[{"4", " ", SqrtBox[ SuperscriptBox["r", "2"]]}], RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", SqrtBox[ SuperscriptBox["r", "2"]]}], ")"}], "2"], "+", SuperscriptBox["z", "2"]}]], "]"}]}], "-", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["r", "2"]}], ")"}], " ", RowBox[{"EllipticK", "[", FractionBox[ RowBox[{"4", " ", SqrtBox[ SuperscriptBox["r", "2"]]}], RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", SqrtBox[ SuperscriptBox["r", "2"]]}], ")"}], "2"], "+", SuperscriptBox["z", "2"]}]], "]"}]}], "-", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SqrtBox[ SuperscriptBox["r", "2"]]}], ")"}], " ", SuperscriptBox["z", "2"], " ", RowBox[{"EllipticPi", "[", RowBox[{ FractionBox[ RowBox[{"4", " ", SqrtBox[ SuperscriptBox["r", "2"]]}], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", SqrtBox[ SuperscriptBox["r", "2"]]}], ")"}], "2"]], ",", FractionBox[ RowBox[{"4", " ", SqrtBox[ SuperscriptBox["r", "2"]]}], RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", SqrtBox[ SuperscriptBox["r", "2"]]}], ")"}], "2"], "+", SuperscriptBox["z", "2"]}]]}], "]"}]}], RowBox[{"1", "+", SqrtBox[ SuperscriptBox["r", "2"]]}]]}], ")"}]}]}], "+", RowBox[{"(", TagBox[GridBox[{ {"\[Piecewise]", GridBox[{ { RowBox[{ RowBox[{"-", "2"}], " ", "\[Pi]", " ", RowBox[{"Abs", "[", "z", "]"}]}], RowBox[{ SqrtBox[ SuperscriptBox["r", "2"]], "\[LessEqual]", "1"}]}, {"0", TagBox["True", "PiecewiseDefault", AutoDelete->True]} }, AllowedDimensions->{2, Automatic}, Editable->True, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.84]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}, Selectable->True]} }, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.35]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "Piecewise", DeleteWithContents->True, Editable->False, SelectWithContents->True, Selectable->False], ")"}]}], ")"}]}]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"Evaluate", "[", "\[CapitalPhi]", "]"}], ",", " ", RowBox[{"{", RowBox[{"r", ",", " ", RowBox[{"-", "2"}], ",", " ", "2"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"z", ",", " ", RowBox[{"-", "2"}], ",", " ", "2"}], "}"}], ",", " ", RowBox[{"Exclusions", " ", "\[Rule]", " ", RowBox[{"{", "}"}]}], ",", " ", RowBox[{"Contours", " ", "\[Rule]", " ", "20"}], ",", "\[IndentingNewLine]", " ", RowBox[{"ColorFunction", " ", "\[Rule]", " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"ColorData", "[", "\"\\"", "]"}], "[", RowBox[{"1", "-", "#"}], "]"}], "&"}], ")"}]}], ",", "\[IndentingNewLine]", " ", RowBox[{"Epilog", " ", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"Thickness", "[", "0.006", "]"}], ",", " ", RowBox[{"Line", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", " ", "0"}], "}"}], ",", RowBox[{"{", " ", RowBox[{"1", ",", " ", "0"}], "}"}]}], "}"}], "]"}]}], "}"}]}]}], "]"}]], "Input"], Cell[BoxData[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJyMvWV8lcfz/41rKRSHAsWLFShuZXH3YoXiUtyhhQKlUKS4Q/HiFCtugQ3u 7gRJQtAACRac/MPZfW++Z/LL3fs8uV6fM3vtzsza7OzsXlna9mzQIVaMGDF2 fBkjxqen/fnyvL61u9/W7u80ePsn6Bfm8PTs1admr/7M4Vue9MEOz/TQAx2e 48HnHLYPH/BYQ1fgieZ9hy+b/B2ebMp3eLPhz+Erhn+H7bNcdHLKJ/KCkReM vGDkBSOvtx59fcDIC0ZeMPKCkReMvGDkFfVWLrp6lHLKJ/KCkReMvGDk9W4n vj5g5AUjLxh5wcgLRl4w8op2WS66dirrUcopn8gLRl4w8nr3A18fMPKCkReM vGDkBSMvGHlFvysXXT+U7VTWo5RTPpEXjLze/dzXB4y8YOQFIy8YecHIC0Ze Ma6Ui26ckf1QtlNZj1JO+URe73HM1weMvGDkBSMvGHnByAtGXjFulotuHJXj jOyHsp3KepRyyifygpEXjLxg5AUjLxh5wcgr5oVy0c0TchyV44zsh7KdynqU csqn93zk6+M9H/n6eM9Hvj7e85Gvj/d85OvjPR+5ea+cwL5yXpDjphxXZL+T 7VLWm5QLLJ/IC0ZeMPKCkReMvGJeLxfdPC/nQTlPyHFUjjOyH8p2KutRyimf yAtGXjDygpFX2C3lorNj5Dwv50E5T8hxVI4zsh/KdirrUcopn8gLRl4w8gq7 rFx0dpq0Y+Q8L+dBOU/IcVSOM7IfynYq61HKKZ/IC0ZeYXeWi84OlXaatGPk PC/nQTlPyHFUjjOyH8p2KutRyimfyCvs6nLR2dnSDpV2mrRj5Dwv50E5T8hx VI4zsh/KdirrUcopn8gb3TpC2tnSDpV2mrRj5Dwv50HkjWbclOOK7HeyXcp6 k3KVk88en5Jv/aB5Ij+4m3kqQXfv3fbk76cXe/jY5/BwgxX/yyd0mU7+f97k 5+hg6JJP+AdH95RyyPfAyEM9wQcYPsDwB5Z640k52zzJP2qe5vWP0f4vn/Ap 08n/ZfmyHNJD53/aK3Lv8fx/SW/04I2Ojh6g9zF0h9GH1CP58JR65X/yk+no L+R33CPYcZcOOvlBJz+wN38xfKPRc7lgk97xCyY/MPlJvsHySfp1Rl8uPZh0 YNJv9OC7Tn7GC/Dr8E+/Wy4/0qMP0oNJT3k7TXpX/4xn4DgePvydPkhPfqQH k97pxfKDPJk//T01yJVPf6Ifgml38OvqxeZHejDpyZ/0yE96+Icf6KSnPOjk K+sRTPsDkx+4xid2sr9x429OD38vvHGsUO1JtuOD40+Ov2DkBW/yDP8hivf5 n3Llk/K9cET5nvdyvnHlQ6d8MO0CTL2DqT8w/EanB8nX//mM4M+TbvoLxx90 +APDHxj+wPAHhj9ZL8aXGur4A5POC8eKfMIfdPgDwx8Y/sDwB2YeAcOfrCep F3DNTzDivVqfntfvuv95yn4Bf7Kfg+EPjP7AtMfYnmEgajuW7UrWo8feiuA3 36f/e/hF4VM+o7NLwPRn5qmspjxHr2L4cRh9y34n271sZ2D4L/IJ1tinc5nx yI2fXT7lFx5ixpuI9PDD+/ADhh8w/Mh+J9s5GH5CP6mh6j5jF0eUD6Z80lM+ mPKlPSb7uexXsp1EN85HZ/eB5ZP2BkYezzgcgZEHOvKAkceL34h+29nTPO5G addynnF2jZhnJV9g+fTw+yHEzBNX7zp+ocMvGH7luP/e065DHH9g+APDHxj+ wOQLpv/yhD/o8AeGPzD6k/1MtnPZ7mS9Sb2A4evjp+ImvXD/84Q/MPyB4U/2 e9nvZD+Q7UjWk1e5sUJVFzOfRuFLPuEPTHus9glv/uD4le1Wtgsw+uF9qQdZ LvYm9g/2G3aOa/92/AJj30g7Hwxd2vlg6K6/WDoYOvYX9Hoe/q/qcx682MwT Uy/oBgYr6GDGfbCzq21+7zzl7XL58SQ9dDDvgbH/+H+5p7xDinw842z4aUV6 6GDWJ+AEHv7OOD4OmfQOQyc9dDD1SHowdJ7Qdxn5HJbpoIOpF9KDoWcw9eHo 5Ux9OAyd9NDBtEfSg6Fj36Nv7G0w8z3tkPTgjp52f8PVa2VP+QEOQ6d86JQP Hcz6h/Jrm/RO/wNMeoexB9AbdCkf7dT4g2678ugf1Cv80Q54n3YP9vYr33bt DMz7+MOk34j/me9ZR+Mfk3a93LeEjr6kXUh+yAed+gXjHwMzvkkMn4x30PGX Sb+SlAuMP1Cuo+Q+LP/38fwdEmXfEjr14F2er4+0K+U+kbTz5L4KdMZ/1nNg 1k/oQ+qHesMPAp16lOsjuc8u121yX5r/0Y/cx5XrFrnv6c2frw8Y/YDRB5j2 Itd7rKdoL9DRF/MwdLkeIz1Y9gO5Xy/Xk3L/Xq4v5T4+dPQn972hoz+5TyzX o3JfFTr6BKNPuT6V+1jQ0a/c94HexfDv6LQ/WR/STpN2EJj2Kf0mcr8dOvUh 188yvkCup2W8AXTqQ8YdyHW23KeX61q5rw2d+gBTH3JdJfcR5TpG7rtBZ/3E epv9BWnHy30dWT9yH0TWlxz3ZbyD9A/I+AfpL5DxENA9/o44oVHiI6SfQ8ZJ SL+CjCuQ/ga5Dy/9D9J/Kfd1SV/JI+8DN19TP9DpL3LfUK6roFMfYPQP9t6v iJx3wOhb+jego2/o6Bs69o1cT4CREyyfG41dFK3fHXsZjP7B6Bf+0C/5ol/o 6Bf+0ScYfYK9948i93/kPC3jO6R/RsZ7SH8N/gzaL3qQ4wLtQO6TyH0RMOOF jCOQfgy57w4dfUFHX2D0BUZfYOnHpv9H5zdGf9H5bdGfWzfa8VjGk0h/lIwv kf4pGW8i9QYmnfRTybgM6ReScQzQ0a/c95d+EejoG4y+ZTyO9B/J+A5ZH9Jv j3+H+pB+c+jUhxc9wo7CrnLrJUunPnjfrfctnfqQ8TCynUq9Sn+cjIuRfjkZ R8L/1IeMu5B+KRmnIP1Ccl9f+m2iW9dQH1L/YPRPevQPfZfRu5kXpkfO49Jf J+NxoKNvMPoGo28wckj/oozLgY5+ZRwLdOSCjr7AtM/o1n3oS+rHy+7Hzs8a acfIeVXOC9KfKeN3pH9TxvPIdiPlBKMfGeci/YrQaT/RrXvp73LdJzF6lnY6 +pF2hpwn5TwgxynZL6Qc0o8r41ykHxM69R/Nut7F80j55L6PxLwvx1nveJDI +B3ZTiWf0h/L+zk88r7XPPFvnvPkszjKE/8iGH8QGHsMuwn7S8ZRgOUT+xWM PQVGDuYZ9CXtPxlfAsZfi/8Jf9g7z/u7XHr6Eel3GbqLN4Af8pV2ZXR+asqh fJ78T3rK53/Kl3Yp6aT9KuNXwPiDKZd8KUfmS3rSkT/p8E+SH/5TysPfSv7U L/nzPvnzPvlTz9Q77dT00/dKPvEzUh71B6Z9gxlPpJ0Pf6SHP9oH7Z18eMr/ GZ/IHzr5Ud+yf6FPMPlRH2Dosl9BZzzkf9JTPph8SSfpst7hF31RHvqHHzD5 NTDvOf7IF33jr4dOe4DOeEC5YPLB/wyfjJ9gxiv4ASM/78v4JZme8mqZ8p0e GP9kXAN00qMfMx/cdvrDnw9mvJF03ic/yQ/yMn+C4U/GT4HJn3oCu/Zq5IkS /0X5+Pdlf6Yc9AmGTr9ifgOjb9oR4wWY+iI/2oOLI7P8uThDi6kPzz781jsu PzG/ujh0aSczLon51MX5MU6Bp3nyeevWFdgJ2FsyzlvalXKdJOPesaPIT9qh Mo6a9JQn/aHSDpN2C5jyaGfoX/rD0Df/y7hG2Z/5H3+PXM/LfQjph5d06ZcH s36Xfky5PpJ6BvO+PK8g1wfomfQyvl/awzK+Hb179L31set/bn1psZH7oRuf mRdpj9g70v6hv0q7RNoJMh3jhNxnlul5Mr6THgwdewFMv6Q8MOMr8xO4pUee k+qSJ/1WR2d8gz7T0NVQgzXp4Z/xjKfkn/8Zv6Aznsj5gvLNeOXvyu9t0jv5 mA8kRj7GY+hg6GZ893fy0P5oT4xDtAvklfOvnG+944EfuvmZ9kj/BXvvhz9y 6WmvpIeOPIyX8pwEfNOvGd+ZzxgvoNNOGG+Qk3RgxhUw74NvePh47tZHMT3v v3bPPkZeh+mHYN4jH/nkfTDygGU58j35dPv9Frv4eYvhh3TkL8uV+YDlk/zB zO8yf9KRv+RL5gOWT/Qr15Uyf9KRP5j+xPhY1dO+n7rxk/ddXL99H0x6MOml 3DIOFCyf9C8w+YO7esp/GRlHb/nhPcqT+zoyX7B8Uh6Y8sCTTL9zmP4ZXT7y SX5Sb/J/MOWB5f+UD0Y++T+Y+UTOd4wD+A9oD2D6P+MYdLAcN6GDoWNPQgdD Z3xifIQvMOOTxMyfzGdzPfTVbj770nPgZrXmf54dPPSLUTDz0TuPPu85fTGf UT72CJjxUrZz9Ih9DmZ9gpxu39j2P7fPbedX8ocf5lPmD9YD5Ef56Bss9c38 zHtg9AumfDDzEOeZmIfk+SrS9TTt12HkYlyU6Wqa/uAwcoLpP2D0yzgk85FP 9A9254HsuAL/pIM/MPnLfNw61OYDlk/GKzD6A9OOJJ334Bc69QuGTnr0A53x Cgyd9Ngv0BmfwNBJjz7gk3oAox93TsnqR9L/S26wfPJedP/LfXDan1xf4yej P+H3umrkcfYW4zEYOvl98NTHqyjzMXwgr/NXWn1IOuMB9jHjDfVBesqXWM7n yE3+YGc/CTr9jPqGTvlg6KSnfOhg6PR72in8gWlP0p6Irt1H50eJzu+Cnv7/ nguEb7B8km90/9O/+B8MHf1BR79g6KRHn9DB0Gl/clyjXOpX2k/RjRPoL7o4 V+l3ik5OqQfS8798Qkd+/gdDR37oyA9mnSf5l3qPrhz5pDww5clxUfZLxg3y l/mA5RP+Zb+mXNqr5AMsnzJf1rvYF9Qn9gMY+wE7hvGIcRO+oGMvQIdPuQ8E Jr3c9wFDx36Ejn1L+dBJD53ysX+Qz+Brzl4Ez/W8v9rZR6THPgKX9+R/1tmT 9Q12+SX3pJvq6Ob9awq64fd8FDoYfzLlgZEf+ww68xn6YD6T55epbzD50T7B 6z3pbqpkRg/2PMF1ldwspG0/CnD8OrqVG3sZ/sx4FOD0Y+bZ65r8WJ/S3sDU p0tv80cf1JPxDwe68mkPyAu/TT16Our0yXyPvQ+GLs87QwfjbzFxFLddO0C/ 2JX0P/wQjAvYmazf5D0C0JGTeZT+Dmb+YB6FzjzLOEB6yiM94yrzhDs/bucR +Cc/yiO9sxdseuSD7uwDS2ccIj/83cxDrIfAch1F/bp9JZPe214NC3HYjZuC P+jwxziOfuT70E3xHx0debz9cjF8oRNvyLhK/5B+JRnPLO1bGWfLe2DSMT7I eV7GM0MHy3lfxpFBp/7B1D/zLPqU8d7SPvaKJ45oJ+7cm60nSac/+n/6PzzE 5Yd+mXcpV/rXpJ5kHLJcV8i4ZXkPh1xvRHfPB/OHjLMAM17LeGbv80PBUfxc 3nGUD928iz9Drme84p0j6ovyoIOpH6/44wj9g138oZ1vqC/otHv5Pnqj/nif +mO+xr+P/PivwMgl90ei2zdhHpL7N2DqB4y+vefHR5F2jNUvdDDl0D9Ij369 4qEj9I8+Jhv53fzNeQH0wfukpz9JfyztCn2DqS/p34VOfblzo5aOnUx+tEv6 F/Mz9QW/jDOUR3+S8dTQwfKcbHT30oBlnISM44HO+AYdDJ36lvFXXvHYEfXl vZ8VFCUulvfZF5X+c96nPmX+XvHgEe2B92kPcv1HeuwK+MKOQA7mfejYFdBp P+gFTHppJ1D/cr0u5xEZDy7X7/LemOj8qKST+wjkTzoZHx5dOupbrsdlOhnn LPcrSE99gKk/uX4nP2nHoW8w+qYc+q+L+7H9k/T0T9LLuAR3P4aV47/8fvLc DHzL9buM/4aOft25EJvOa98kTqjD1l4qB6Y9S7tT2pFg5Jd2NRh9SzsQTH+R djGY8rHz4Bc65Rk1fHTtG8x+Besf1o9g1idg1j/sdzCvg5n/ZFycPBcPlk/s Dfe+nb/AMu6Q9iD3k+T9VdCxUySGT+3BNzXrS+jMJ2D4ie9Jd0XP9OCtbr4h zgFMeviTcRIyvkPGsfI/87DE8M86Ev6hwz8YfrBD4Acs41Jl3Ab/M69SPhg6 +ch5UtLlPMn/JYw8yt9TvnbzDOWBye+VJ91lF29Ce5Lxg+SPP4H8WSejP/bv wNDJn/pBv/Qf0oNJT3+Djnxg9Ex6sOyf8Et+YOi0R96f6+FvtcPQqW/yB1M+ 9ruL47X9ETsVfwT5gtEv/gvojCfwS/yNxCk9zwNuPEe/7D94x9cEuf4Apn2Y +eahw557qWLcF/7EIFe/+IPAxO+AeR/56d/SnnT9zc4vlI/+6If4xxgXaI+0 M/RHOeiX9FM8+XB/4Xvt+bt7uI1je+vWmzI+Sa4LoWPHg5n30BfxcvyP/eQ9 /z5y6T3nvvyeCH9hsMO0L/TB+2Cjv4dK+i9pL7RrMP5L2g9Y0mn/7LdDZ/yQ /UP2T4l5n3YBX/izyQ8MnfELOu2B/Iz9c8fcJzb1gPW/BDpMe5WYeYD2C536 h38wdPinfPgF037l+Vrat/E3Bjv9gBlPmLexa4grA2PHgOU+HZg4Tfq7tDOl P5B1qZdfLyI9/7t9SA+bjx3GvpXrTNKBveJv/8fulXYxmPTSTnT7mTa9tLOx G6W/EDr6xW5Gv2D0CEaPki73z738hRH6AkOX9yNA538ZbyDveZf7qPI+A7kP KOOsSI8+5bqB9HIdgp1NevRJerD3ucD3Lj32ttSHvJ9AxhvIeGwZXyDPwYBp X97r1IfO7gaTHnmxW8HQkc/LXxlRv8wPyMO8gDwyXsCbftvZEcgXnZ3JeA/G P0H+8Ev+8CPPz/cx84XrF/L7CYxr6FeewwHT/uT5ePKX+8rwR3r0KeMHwPQv ygHTD2QcEPLKfuLmDSufjLOR59vlvcJg+AbznowbkOfZo9s3p/6kfqATZw9d 7kPb/uQb3b6PjBNCfukXiS6uAf6j29eHf+jwDx1+ZT+U++1y3JHfLyA96eS4 JeNUGKdknAHyePthY/iy/qe+eX+rmVfdfjv7W8wT7E/J85zyXhB5r4W8p0Gm l/dcyHv0Oe8Cf9JvL++Zlt8Lgk/mPxlPxfhI3D3p0RPpmQ8pV8aRkx96pT2T nvZBesqDTnnQkR868kOHH+SWdhDjLeOq3NchHzDpeCIPmPYlv0NB+cjn5f+N kA868nnfux6jHHTkk+dJaTfUn7zHT95jLr8TwfsyDpn35T0n8h4eeS+MvPdE 3tMhv8vAfQXIR79mfSTv7ZH3esh7JeQ9TLLdSrnlvRPynib49L6PPUY5xgHO VRm+OTf/wcVDsD7A3+d9D9K1KHTve5CuadYPrFvxD/Aez3ceviPjcFhHQJd+ o10mvas31n2kh+59vum6oxOP431vzjW3foEu/Y/oDf/fJQ99q9v/o9/19/x9 0dGZj6W/tI+1L0g/18P3aodnmvfdOov8yZf1MeOS9LeSv4xDJz/ovEf++Kd4 DzrppR8SO07SwaxLKR//GvI1MPy68klH+dQndDD5kw/vsX4lPet98gOjR8YV 9IK/Rd4fSn74q3gf/w35s16GT/JHj+Qvz98jD/4m9AiGP/wBtFf6F/yRnvLx n4Ghww/zKpj5Bf7IH/7wl6Nv/A3UA/4r2iHY1bMdj6CDoWOHgdEX5RPfRHnY lYyT6BO+6c+MU9Qf7ZD08jyyu5fC1icYuos7tPy7ew1sennfqoyvZt4T47WL 08Efgj0JFuO5b3T7rGDsTlme9BOwb0R5YPRKeuxf6NgfYOYn0lM/0JmnwchD +uj2hcHyXkd5LkKeC4B/0sM/dPiP7hyBXBfTDuU+NflHF0cu14XunJyVn/ej 2+cGU+/Yz9Tzf51rkHH/Ms4/unMByCvj8qOL448uTgNs1PVRyfLkvQzR3etA efKeBXkPA+lp97LdRteO5T028CO/cyPvoQFjj4KxGyT2jt+K4ct84/q5LZd+ Idcn8On6kU0f3bkl6Izv3nIFObuC+A7ex5/PfARmPmJ9QHrWnWD0IemUT3vw vo8ghi/zj/QLow+5PqJe0Ic8pwVdnuNy/lVLl3Ht8C/pvA//0GlvctyLbhxE bvmdJjDl8z7tR2KZn7w3XX4n6b/ubZHfbRLxEb6sf6gfGYcpzwnJexPkufX/ OtcT3Tkg6XeiPmQ8yX+dm4runFV055r+65zRf52TkXTpF5NxwXJcke0CzPuu 3XqmlRC3fmTcpd3IOGjKQ4/kByZehvzQM+9TD7Kdsg7CPsc+wj4DY1exrmG9 RXy+mc/PO/uT9WZyz3OqW5+BsZPdfqLNh/ehgxkHwdQ3mPUm+YGhs34C0x7A rEN5n31fSQezfiI97RGMHUt66GD0QHrW5RKTfqaR39Fp3xKTnv1V6NQn9cf6 Gr2z3wp2dMuno1uMvS2/dwBmfU+94d/yvv/CP8r5ERnvRHmkB5Meedk/RT7W P8iD/0SeL+F9+D/nyX+xO69BeZwfIT380S7gD0x62gFY0mlHzE/4fxi/o9un JR10/Lxgea9FdPuO3INC+5R2THR+WDnPw5889yz3LbnHh3TR7QMzPsp9TbDX d9X+x56W+37y3gu5jybvtZD7WvIeC7kPBJZxsvg1JR350Rf+d9KxfnD2ka1H 8P/5HYf/ueeE9/9rHx39yvWJxOQX3Tn2//Me/v/ZV5X5yXvi5T0kch9T3jMi 9xXB7nuPFlNf8nsJMi5Wfi9Bxo1CZ36V/Qq56QfyewZy3Sfvk5HtGBzdull+ p0PeGyCxzN/dY27rX6aX302Q++DyXnl5T4W8d0jeeyr3fSVd3jMm4wvk9xTk vp7c9yM99QlmvSC/r8D72EkyPfXJvWRy/Yj+6N9yvSf9GvQD1h8yvfzuirwP QWJ5Dk5+54L0+Bux7/BHyrhTMP0Jfxr9R+7byPgG6PQf6OyrgLGr5fcU5P0J yOP8K9bukfeIePtlIuMhpN8C+VhvMx+jD3lPBOVjD8tzRaRn3ic/+oe810b6 6eW9XPKeUBm/Ie+9hU48KuVTn6TH3gcTr4L9BmbeN/beA2fPUR/oF/3Tr9G/ /C6QvK9BflfF3b9g+7f3evqFw5Qvy2OcZ7yT476ME5NxZPLcqMzPKz4kTmiU eAj5XRj53S/5nWj5nWN5z7OMg5H3VsnvGXjdUxAWEmXdKr9fIO9HkPdFyHvC oTPeQWc+hC/sVHleAz6lH5z5k/TYnfJ8Eu9Luwq7UdphpHd+VYvluWDqR96j K8+1yv1q6T+R93TKe7rlvr6ky/My8l4L+b0EeU+EvHeMdM5P8r/vhYVEuReC 950/0Kb3ugf/f/wKpAfL+pFxnzIuFH9VdHGWMg6T9NSH/H7Cf8XZyXvtZFyb vI9NxpXJe+hkXJLE8CfjmGScFnqTcUgSy+81yHglacfIuEkZZwiWcYjSL8w8 IMdd0rMelOMIdMYJeY8eWMYde98rHOn/kufs8achn4wjknEoYPiR9/jJfiDT m24Zec8fGD4l9v7+Ad+D/+DiEfBH4D8DnzPzv7Mb+F/6y8DOP2L/x37BTsBe kfemyzgk2j32A34z7AfSsT8Lpj/iz6E82hH+P/wf+AexT9i/xr7APwPmffxi 5Et5yMP/vEd5pKM8njIdmOdM83R+KjB6kueHyBf/I5j3yBc5wOTH/+THe+QH 7mPaheuHYBmPQ/0QDwE/+M/A+PeQh/4CP7xP+bwPji6OFX7wP8KPvAccewEM 3fu7addcPdIewKxLGKfoT+iX/ibTww/jHxi6PCcnvysh44egUz76o3wwdNm+ 4Jf+jzz0c9JBl981lt8hgR/Ghej8zHKc4fyabM/wR/uU7RfM+gJ+wKQjf/Jx 9/KL/iX96+TPOgf58NfzPusveR4IfSb3PKdG2WeQGLnhn/fxr5Oe+CUwdPiF Tn6sr+inzC8yHtR7ny3AvQ9Gf/jj5Xk/eR8BdHe+w+qL+QO5wYwr8AOd83zU A/aXjI/yvm/lrht3iZdCP8wfYPz31D+Ydoq/Hzr8oE+wO2dp7QMw8yP6wJ7g fbA8Lyy/D+Hi8Ex9uHbl9h8sho7+4J/8SE97pf6QF/sQ/qBTP8Q3gdlfoH7Z z5Dnd9EL4zZyMV7DJ+0fPdAeJJ1xEIwdQH7QsR+gs96R923K+HHv+7b8Xb/n fdoj8xPjAOs2eV7HfVfE6k9iGU8m78+R38+Q9wPT/kkv15XwS3rvdegdJx/r AOZF1g1y3c06GXnluhq/tLz3Ua6T8dd532vwwnudFkF353ytfHIdTX2D5f08 Ekt/FOM2fNFO8b/QjpFLxnUhJ/4nGcfFOs3rOyH/c27QC8cJjXIfBpjxT77v da4w4n15jxj2Dv0QjPysS+l36Ad7mfEUe1na0/R/6GDojAe0W/KXdjL2sfyf /KCDoZM/45abD6JJF12+jKPMf7QLiaUdwZP8wYxPvM/4JO0J+GE99M7IYe2h E6qTh77D0ZFzhaecUyqXoSvSgxmXyO+wSa/Jz8h9wmHGA/g37eNulPPKyMP8 Cv/4v7FP6I8ubtzzfOjsF/y9YOLL5HlBGUck49HkfVbIa/h/4urX8P84CqZ8 xjPpn6Z8zjcjL5j88D8xTjCu4bcGsw7x/p5yDF95Dzj+KbDc98Ge8/Jzuu8b x/BFH9CRDyy/IynvoSHOB4y/lHGMcZ9xDkw6+JXfDwHL73oy/8j7JMkPvbFf yrwk46qpB/jkfXlPO+nkvqfcFyUd847cdwAjH1h+15VxGTryg6kP+MZvBd9g 2c7A6A19UK68t1Deg/d/znsRmPYChl+w/O4q7Qc68oBpT9SfV5xaRLsH0+6Z p+R5d+oJecHIJ79zIPeBwMgDhl8w/Mq4Fvk9eew9ygMz/mPvST8o8np/fz5G Ofz+yI/9ByY9/FAu/8v7BsGkA6MPeb8jmPGvj+cZGQfKPMh4zrof+ShHnkuF fzD8wwflsX4Co0fyJz35g9EfdjrlYb+B5X119FsZx0+7BtMO5Xlo3me8kn5o MPlhH5Kf3L/zPh/t6yPv+ZPnneU9Z2D4AcOP/H41/n70ybwBJj36AzMe8z76 jG4dQT+V937KeyjlPYRy30N+P5pxFvkYZ8FyngEzD5EeecC0B/Knvcr73OBD 3vMh76mQ95wir7xHUcYTy+9JQ0cOxmH0wzgMlt9Z5j3ql/xoD2D5nULmKfJH P2DaN+Uwb8n76+S4Kr9zKPdH5PejoVMv8Ee9QOd/eR6e8uEf/y/1STrv8TXy e9Lsu3h/v/t9lHs1NppxU8t7UsH0X5le3pMq77mV3xX17lcBbjymfcnxVJ4X l99pdfdNWrq8l1TeA+z2F216ee+ovA9B7m9Cp77lOXvqByzPoUMHQxf3YJfz 3jePUY71GvY7+xOsb8CkI14ZzD4b56jlE38D9YB/nvpBf2BH95Qz1ekXfMmD t0bZP2J+xk9LPYChyzgh1ofQZ5r83PvMu/CPfxl+mQfBjm75dXSL2d+Bb9aX 6NNgfxXHk3yzSz/XU5+r3XrT+54If13JpHf+CPy1+LvgH/8k+bEex++B3eDt X7zu1unwg97g390T6Hn/nsOUR3rW12Do1AtysR4DMy9Fd+4LTPvnfTDvU8/y nBSY97DXWffJ84bwJeO6yUeeZ4MP0ks+5Hkv7Al5joz3vO3ma1H6TwPP/4vd fW/nDHbtEzrtw9t/EKDk/YDkT/3RnrHDwMwn6FHGrYv5xBd9QGe+dXGGxu5x +WE/gBkfeF+eK2QdIeOgvNf775SHjeofo13Hy3U+fPOUceNyHRrdupT4YPk9 NuknkX4U9MT428tTfmScP3T4im7dTzroMk7e696c/zk3xfvMO1JO+ousRzDl uP5g6V5x0xGYcpjHeA+MXcN70dW7bCfRtSPqRZ7rlvebQccfzXqRcuV3guU+ Khj9Sf4Yr+V3R4ifZfzkvkQw+cj1r9sPseOljF/lfeZLMPpkXoA/5jX0B0Ye sPS7RWfngLFbpN0b3XdWqC/pN2P8xL4Cy3Uh/PzXukHSyQ/7W37XSZ4DpBz0 I+PzpF9L+r0oh3qUepN8yHWfXBd6xRmGhTi5mFeg83906wrqR8aXeX8//KHl /3UUvw/tUfpJ5L1K0s/hHS/2UJE/fMAX8ka3zkNO6Nwvy7zA+GSa/0cl/NXl GKegS78ddOod/mU/Ib33vXVR/TjsB0KnX0AHkz9yQqfeoMt1oXe8eYxy6BE6 8UAyrguMfcJ6C7uAcQYsz4mCkZ/3sVegE8+DfYK9wziHnQJd3gOGXSr3y9w9 a0Yet/5BHhkXxvvQ5X4/6cFuX8yT/q4br8H0a+IlvL//EaBl/jIewPtevoAo 9ymDaf/R+X3oD9Cpf69z7hHt77/8QJJOP6J9RedHoTy5r8y4KP0y8PtffhZJ 533Kx16hfPot+3O0W7nPgZ7od2DmGeSW35OQ+wry3lew9z1lkd8Vi24fBbnk PbvS34fe4E9+J+z/cx8jYvyT9YjeKB89O/2Jc+cu3sfzXK5aeNIddHqG3sD0 a9f/GQ+84x0vuvfxV9CvWd/Sf9gvZr+X/kx67Cm3P277p9t3t5j9Ufor6U0/ vKuTep5HnN+C/oz87n4pK7+Z5/ar5p7nXIeRH0y8G++jDzD6IL2xf8477B0f uF+x/wv/tFPkZX/Xe70eHOW7QNIOZLyQ34Ugf+97TB85Ou0FPUk7X54TJP6N +V+esyHeBkz8jLRHpB3OfEd/lOe96Uf0S7CMy2JeAiMvekE+eU4vunNC8l5W eY6S98HYT/KeFLDc55DnTOhP3u3rqtMbeqE9OD3ZeREs76OV9puhR4672B/0 H+RAn95+2ruRcR62fr3XS3ftOuxYFL8O4xmY8YynXEdTz+TD+CnHTcZfaYcy Xph5KTKd9OeD5b4v+mG+pv2BaX/yO6nyfmd5fyrtj/YBlvtmtDfmVd4Ho3f6 00bTDrRsf3Kd533f53lxn8QFLe/LwJ5h3KH9gWl/YNof9YG+aIfoFz7kfRDy O6LyvKPct/c+L/NQ077JHz7Qi/e6671LJ+/1wf4Coxfsa/on/YP+y/wJZv6k /3jHG9138zDzIfq96Xnecf2J+Yr5l3aL/sDUg4wzkPXC+Ii+8D/I+xyw58DY h/CD/c38QH9j/kQfYO947fNOHuLnyY9+5G3fn3PzKfXGuCC/SwWW9wBTPu0b /qhPMHRvfq65958dzl/x/aJnbnxw9/gvSdW2uQrXC4aVKfhv3wtOr9ix31l6 joGJ/P7687Wju/3aFQeK+N2K9EM1v5JmaJx879y4ss7Sy7wakr3pyrNKxj8V qVu1db+jL7X/koQTWoy4HSWeKM/TRj71L4W5/FJaDH/365j3v8zzscXugWFu PeDiFZofm/nr/ch4nh9SVRy4oftTPW5Liu4n+ge4fplrdN6OG+MEO5xkTbov YsyIPAdJu2xt8wsae2zEEr9wR6fc1ZPOle+W56G+9vZExg1Hn0X5HkSRfrX2 rSgQ7P7/ZsrOjA+yBUd+B+FK1ipfhEbG5zRUpUNPHXjo5F9k6e77sfZ9xuOG PUz+ffNlHZuvebCzp9w6YLLhz82jRd/8PPXKQz0q/KdfFq96FcWfOT2dT692 ZQIdv2FtRo2smTBAd1qctsqhr4OixPu0rX1/56FCkfcA7Vi4tO+NRJHx7Z0t vWvF/cvKX4k89+O+M2jzR56w1Kb8UeP89ifKGOzS+wdPDWn2OPJc6bmxla5O 6BMZL0R9HEh2f37oh1O6VLk2X99RUb/fsOZkUI7vj5/Vuz++KHI27JGjI2/t PqfDd+Y/o4MO3So5a9/tKPFEOXLeHdc0+Kz7f2Wb37tvzx4ZP5Tf0pHvB5sf 8p1cv3/k40Nndc/5fX/+/ftg7++NRtTXIct/4tpjpizJ+8zRN887dqtk3chz s30bP//mHxXmcNrPOy559THSbzbe1q/8XkSN98G/dI63LNJPvqTE9Fstp6iG tn5Jf8HWl3c8UqAabNMjzzCb3wpbX6S/b+vL2Ru2vsDJ3pn+Qr7wc/dExzFL El9w9Xq8bXCBVFMvOrmCel6aEzrzvMvnmKWTz0f7fuGCpj/wP+NYCtP+3bhR OWfiZo0G3Xblz/+x2dlJLyO/M75udvNFsQ7fduVtsph8n9r0xbea8QW9pLDj i/R3T89mylvytxlvoL+y44trJ0vN+Mh78POyQrpMsddGxgO9t7hibjMeyvii vmWu37wy4pl6EGbGYxk/84OlH3pg5gtpv6WfOyh8SIHIeJaMU0unCF/0TrXt 65k/3LhCuf/8ZugPp+36tU+XZ7pQTv8DcSZF2KcFIxaV15+qHKunLv3y2jvd rUDHKxlPv3LPv++fyfFT7cf6r3hJrlc+/ko3jF88+4oV0/X56t2+/yz/K537 dcYhfb5/rwM6vCnsn/+5bt7kt1atJjzW517Uv/C66XN940WPXz8uCtTbPrs+ 6ov+z/SM9xVuVVwUoKaUOBE8fX5EO+td70LmpJd0sxa932+u91hPrFM0/cV1 4epAutgrPkv2SF/csvTpubrv9Zis2/b8mCRIF0+7dWKWaRHzZ+Js4zLdCNS+ 9RKc6PXLbfdctjNevzv7L+i5IV/HHjnqtr5xZfmrpAU36rXh303JOSlIXz+4 1ef9wJOqfdxya4onDdKxv5gfc8+gV/rIhrq7Oxy6oBvOybi6Qvbn+q93c17O 23JR+46L1y/mkUf6x1OD9u/4cEEfOZHm3Nb6Qfpjv7tfVG92SWconWRZ/HuB enn9s9se/nFeT2j0VaxecS+6Z/uKBS+36jZdH8nlM+nhpPO68vhGjWMeP6Fi jvhp4JF8l/Tf/l892FP8qWpY5EmxXRMv6cJtsvU8/e1znXV61bnNU63Vc76Z 0O2Pp4/0k66vvrhaZqXulC9xnLZ5Hum5G9al6DBjlm72daJRL9cH6hcbyoWW 2fynLvVOzUuW85nKt2Z6nHd//q4HbcuSs1PxMDXkcLE0G4ct1Y8z7RlW5d1b Ve3dndWp583TOWc2iOP76JVeHPfq9q3xT6gvY1de/u/uczphldpDZ184q6Zs uT09X8O/tf/aNeELMp1Ro8sPKP7Fm7PuGfZZw3W3/gxQzV62PDbn2BlVNH3p HH41glWV4Ns5usc+p3aXy1Ph9+TPVJkZJ+vP6nFWVR02eUWGfE/VqZwnTyX8 57j6suXly8P2vVS1TvTOF3jsuFr/dHThc4veqiNftb+TLe8pVenVupYzNwTr PEHxk1aOG6gS7S/47cw0F3XjRhf3BQf4q8ABrxNXfvCbXlr42wQNEgaq4es2 tO3R84wa23nIoOo/BqitQ9I0PPBT5DPj/PNLJnYMVhcSrW/2vnygylko1XfN mj5QNxeGPj9c2F+V/yHdxYdlnqrQCQ/SbCjor76b3r/9gqRhalHvIY9HbvBX 3Q/7fzOy8CNdffnbMfdXPFQ/rj5aMcXxQJ2s4OPcR4Ifqm8GvTmVLu0lnWR8 qu/KjHqgniVsn3zAohl63MxreTb5PlRTB+1IlnjQaVVsxM+NV3z9UC2Z0H9l 8pSB6tFXc54uLRGsVvg0qtKhWuSz5Jh88cu+fqryDC1y8MHxh6pCo6HHCpcO U89GbopV8ZuH6lqTnIWq73qrrr2+OcYvwUNVJea+H1veD1ftdjyd3rdssMp7 JPbsbJ+t0fXj/dl/f6en6vO3GbevuRGh5zk740wp9FT5X2z+19SJkc8CJ8d1 vromTCX+402lyemfqfdtR+eP1/acznDzeN2iF8NUxrEbNpYsfk6lG/3y47NL Ycrvw+ObA5f7q2bXvmmRNlGYOrM1TevmM5+qF+Gr/liaK0w96PXl1CJxLuoD 2Qb6PdvzVo252utux/pTdL/n51XvXO9Up90fr/ZWZ1SyjM2/qRH8VuUeU2lc t6ThKqba2DHbkLcqW58B9xM0C9IlfnhwYcKriPVU5xmF+qcIUOWz5qyXq0O4 qv/xZI2vF/npoZsS9o67bp+O13ZMti/T+OkWp1LE+jFsn/7e78biYRH0dt1z Z9m+bp8q90ad2BV3v+Z5p3H+XkW77tWtnrXbnOLr/Tpz3dv398fbr2OYp9pn 6Kqtpecw76nK9v0yI3ZVzNxlrzpy8JJ/rlz7VfCLTQWPpI5Yd670uRfz1T5d yfCnRlr+zrXx8KdGGv7c/Sl9io6utbLkVLc//ayIB7v7Tz4rZujgcSa9m3/+ 7bjjTtzLvvpa1kut/WJf1pnfFC7l93CjPhTabtmoBZf01LRfX/Ets8nZh0VT 3G6e8NAhtcHSlxl65L2YW5qoLwv66MQPL8T8y2eT/qHV7qz/XvzX2VcXujce nvrqftWh5vvQOE//1TnMU51/YNLXN+ndfLjd8lczcNXFz8cdVT+9Gp5kVfy1 urPFrQ1WvQzWv1r6BIt7WnpwDVNOXlvuRVOeqmv5y2X54DnR0htZftYbedU6 q4+pFgda+ctVr7b63tp76urU9+0+m3ZQl2qfe+rc+XfVvo/Dwv3q79Wtvy7g ++fGQBePc2ysT6ws6W6pzm8aj14UtEVPmR1UNXZZf9XyQfezZUtu1ulSdS73 dt5dlXHfb9sb192r3n32/nXhXfeUT50JKdJM3x15/8a767kOR7SHNjZ//HmV lj45dfE7f7W5yp6E54tvVlUNf/qS5e+rJJ78dFqTn266oerVJZsj488qmPf1 UvO+TmbTN7HlVzPy6V1GPlXb5n/K5O/slTGWv7aGP7f/tcDIq8sbedVC/1I9 bp2769rRD7EfNDw8NEitaTAtaeE7G9U3+x8OW9/WT/35T2jRPb/46WotL0w/ 09dPNTVP175bhqz5PFmb87rGmg2D5yt/lb1TkVP5up3QRV8W7t005i3V50Tc N3G7ntTP1bd5F/x+T3Vsnu5Amp3X9Z2AhdmuX7qjqi4M2zytfeR51bHtcung 2ef153fSDZyTN0gVq1r3z94JTurdBRYNPLg1SLWuv6zAyvDjzu7dk7bt9Dql rujfL74ccf/UbddP8W+vLPjzH0tiLXO4g8GuPoeWfJu3Z+ej+sjxMyd/Ph95 r5VbX6bo3ipLp62uf4B5//NJA4unfr9DJR4/4N7fJd7qAhcTfBZ87KO+ExKc 6c/C9/UfGXSWB20/6lrPPViVzmRwloCdjffue6KGx3+SoWn6D/piyS1rJ5V6 qd8Mr3ruyok3umbHmgOG+t/VUydeX5n+6zf6i9vH3hU6e1cvuLxm+frcb/SL /KrDq623dJ3Q2V0Di73V4QU8WM2w+Ji/J73ac8Wk7/CTJz+VfZLJb9rVJTtn 5Xure07+YmadOS/1xnaBVRL0uKezHpjRbabfCz3yQGjnFjPuaN/58WvWL/pS j320afb894d17tADsa/5PddxamQu2PTVTlUsd81Uc14/123DVjw+cPuSSnQ1 86oTPZ/rKfs876utC8z7+9t78lfrbf6TasyYXEN91Nl63szac0yoDkjd4c3g xA/0jAuV/o6f9qn+bPPuFA9y3dC1wlNMPNEjVOf/KkPFGdOu6JAOKTuO2Rqq z83anavAq6O6xO22zYakfKIHPfy15K9+21ThIvMr5Oz8RC816dUpm377Jk9+ qrTNL4kpXy3pYcrfWGZarzQ1Q3W6ezFnz+t9Tz/J4uN/tOF99xyW/XmRLX/c 1GOyL7j9qON9nWBg4lU9qt7SK8d/dmbKkyD9omL3eJ1v7deT+ged/1junq7x 8PnAjD/56no+oYNDvr+nYxismln83qRXs2362iZ/NcDmn3RC/F6/dr+qrjTN FbOe3x39S1YPH2qYeep4Pdf/03zvHfW5eerJs/qXrFQ9VMXpPzPG/n739IAd e/e2PfRYpW2RNUXSxUG68LXBr982/6BP72r0b4mr13W3uBVe/vzXG91txO1x tcvf0HMW5CnS5fO3evHIRgWaHLqsR1UpFO/084h63fu44cJ7N3Sv1bk758wa que1TzmsXpifvtG7Ubaco+/pPLrN5q8PXtfB+96NDl8epId/9k3JaZdu6V9y nt8eJ1bkM1aSWm2eRYwbPAtWf3Xz37Z+emb2oMs+EePLs5Sf/d115xGduMDp ts2W39S3EhR+lq30Fv1hVNxcwyre0rkCN09r4Bcx71/Zdm3h0mu6i6GrRKMN PdS8r9Lb9/svzZCh9kdfdX1Ak8w1j1zT6+6nSfG22CZ1MlPSNLdTX9azTw4b 3T1LgHqZ4MbBapmu6hJNG7yJ/+0t9fHgN//2/+ySvmDkV1/6Gvk7tPp1wKWe L1RI0uTZHt2+plsb/akaVn/FjH7VTqvfCUlvjjwy5oPqODpRma5bItI/6Lxl b52PusD0gNONExzW35X+Ppdf14+6Wa0Tg2pX2KF9us2qeK/oC/0ifuY5hfMd 1EObrvps9KBQPfL+tFc/ZjykW63OWb1Xxqe6xIftGdvs2qi7XAo/dGPWHb1v 4pZlR/vv1GumNt6ae06Qvtira+bcYzbqX814rtOY8Vzva/P+8PBBoSrgsySX gyLy+yPB04eF1oSoZlVaZNz71lfvNeWrf2z5vzWI8TxBqxdqfM8dcbOt99WL d+zbk63ia/VxT7+hrX/dqlsaeVQhK09ZK08iI49qZ+XNa+hqpXlf3zXvq+Em f93S5K+6ZimRq0+EfF0LJfs7566Nauy2lh3HbgrR6ar94FM/1V6VpUKTd423 PtFrYyaoFqviTrX9RN3J2XY81rn6tkjTpvlG9fOLQ4XmROgreOuZJIszHFKp 3jX2qbUpRN1OtmxEk9R7VbJFwbFKbH2iFlYPKZ2w0k6VuPKw6hHvq196T+/V LuL9Xfd+btI341M1OMv1Iq92boQ/Ndzyd9jqp7nRj0Ifh6w8mY386mhtI39/ U/86ZJSn/tUS2796mv6l+tr+97NpP6q2aV+6h2lf6lHsYUsn37yji93euvV9 36tqne1vPns8/U2dmtt70L68V/Qe81RrbT+bb54quXd/U5ls/0ll+o+aZPqH Pmr6h0rwwNM/9AHTP1TsVKY/xjH9Sf1l+9NNm/6+7U/HbfpzAZ78VV6b/5H4 pn9mNf1THbV88gyt5un/aqvp/+qakVdltfJWNeOJWpXEM56ofX8uSZ6u0xPV 4tjmGA++u6Loj7esvvrZ/jrOjFfqqtG3+uMPo+/Btj+mNP1RZbL9NaGPp7+q zIdKN1l+6LHOselkq4t/Bynf4V8Fv64VqpcEd/lmRsS8Vd2Os+XtuJvQjsMx 7bhc2c4Hv5v5QOUz47e+bMZv9Z2dP1qZ8V0lqGTmi/Fm/FdhD8z80MjMDyq3 Hf9v2PezmPzVOJv/1B6GD55+w4r0HxEx3k95kjTf0wj+E4bWSVak8Av1266G EytmvKuCc93cODr1a/V+Tp2xTXWQmmPn3zxm/lWbzfyoC5n5UeW082tzM7+q HsGe+VWXN/Ormmnn2/wW2/Tqe5v+Fzv/XjTzryo/JWVo0Xp31LhsJUse6fdE FewS2DzofOSz7J35oecSvVBFSqSZneLpEzV5w6ze9S+/VpPL3q03tEOIGmLt k9jGflD7jb2h0xt7Q5UKNvZJXWOfqFPVPPaJ/tLYJ+pKdWOvFLA4h0mv6tj0 46z9kszmF+ugsV8GGftHTZ3un656hRfu2c3aZwuNfaZyWnssjbG/VMZ7xv6a fNFjf6mVbZuXHHrkic7S8Prwd2k/qKNPjH344kuPPajWLnz51diDT1Sl1RuG LEr3QV1duTBG/aOXVLlvwnoMqX7crTcb18vX+u7LHQ43MNitc574JVtffc9O t654brBbp7y1dPBLS8eeb2XzBzey+WMPt5x2PWepRit0wwV7c+Z6dVX3+nNv jeBOs/TyHk9ihM+7ot99XvDvlOnm6f01vj1+uvIFPS9N/RYha5aqKjZ9TZNe bbDpd5r0KlOXQ9tzP4k8b4Ed/n3VF2d3ldvg/Oodbfmt3gf6dbx0Ro2O36Z3 8/crVVuD9VKDdU+LoW8z/Ki3hh9dzfCjiln+5xh+1HdJDf8rvNOrwjb9cMv/ Cps+pUmv7nT28O/iBEobeVzcUbnzT3qEL76tugQ3O7Z2/jI9bcr9/Nsi1lvp A2aqzXciz81dXn7/4eb1a90+eb02je4sKXXI4c2PR+Z/kcM38rs83W+s2l9n j8OLa04cH7v3QZ3xr5P5Sjy9rq6uPXI5d5PtusDXwe3b1g1QNVsu3lH8gI/+ MdPGogtO+quKjWP+3CTHHh2YavzhdoMDVLKLfzdJN/sv9fHN9OshYf5qr1o4 9d2NBW59edTyF2bS66kXPOn1B5NebzbpdW0jry5p5FWTjLy6rJFX+eTxD7x1 7HaUc8mFLvbK+brTQp1vTLM7814Hqo+fD36+f84q1z4rv+uSeFf4EX186/kS ZXz8lX/4rP6pSh3UA8rvqZeqXpDq0rJw0nhNLumPvxddM6f9HRXr/fQVx4pd 1LNTbGuTK2/Uc9FvNvdb+eL+Wf13w8mrgnLeVqV+HltiW9Ap3XlsSIxBuW6r oV9dyNwm9LCu87Jg4yPTIr9jUTzTd6vWZor6fYtmd5e2zH7unV7TbXjHTGOj ns8pE5jxzL8zwvWDg5dmtD8a7N6jP8fdU2hdvd3hOv/vHrrb7/+7hGd9qI7+ btaHX5v1pqpr15u5X3j4c+kpd0K3rofyDHjj9nc7xWvb7/2017rKlAa1j2YI i3L+ZubdkBr/zg1z+5mrYuW6l6T0ax34z5B+t9qFRjlvs+bb4Oev07xy403J JeXzdUj3yo0vuS2efs2z3lT9ppj1JnpbOL91kcVlXug1JX3npMr6zsUJIcf4 X6s/TlUr8jsQcRqlLD7y0XM9aP2m0YkGh0b5/kZQideP6y585tb7hy/dLLNx QeR9FYPejPmyzYrIfc1L21OvKR/vhRtfWls6+0hjfjDlffOlZ32qfC+Z9WlM O599b+YzPX6GmRcmm6eukedM125nn6jxuTPOvHXxiX4aZOa3xcU985veu/fX 5dVjfYhy/if9YCPvuE4lD7avGHm+Z43fV8uvrY08F1X833aZ4oU8cueD3HcQ Fm33D1seovMOevTs7zIBjo4+Cg8am+n55seuvZXLFqd9j1WR+7ibUozamuv3 J248umXzezXQk1+U71PUs+8P3OrhJ8r3KXIPNOUNt/P5YDOfa/8QY58UM/aJ Pm3tkxPGPtExss4cW37BO8f3nLKDlq/q9irK9yqSxIrzWf1V/npJsz/i7pz4 Mkr8QOrZE66XaXVXb44Xli7x6ofu/dz/jq84rWSo9zmpiPbTN8eF7Sv3Bur6 j7u9+L7SbZee51eHz39V3SfAtaf4/Z7Unrf8rm5ac37MVI1Pu3TLTv+yfOfi Gy5/p+8mG34pvTIS//NmasDXSSPv+2j5w5ZlT+dF7iOnsfm3Nvm7uM06Tzz8 OezGR5s/eJ3Nn/bc5S+jjx8SevTh3m9UuMCYPUfvuHHe3Xtu5U0yJ2/RRFlD VZGvbqcJjFj/bz7y+Le4EfZ49586/pq+7BX90dSPyy+tqT+H5+xL/33X/a9d /sQpVbL1lytjpQFqbeT3KA6Of3ayZaLI82WMO9NzFO+5/9Y1HVgt2dRJJ8Ki fGc+9b/B2S+/v6ZTF036sEvRZ47+yy2140SXl1HiNfZ27bd0St7LevuZtT1e znzk0u/LsGNn2b6hLr2+kTBJqViheppKU7fgpAuuXjdY/+MB439076/8Y3Xd gIB7Ub5nkW9g5ZCAxefd/+l2dtmYaPBVfTjoSNIb52+6/8mnSuUdGz/rdN61 j+k/tx+QKrufw+dyXCtStNhlN/7m3vZj9xlHLzn8bE321E/ynY9sT7Y8xufv bHpw3LUmfeJWvxS7fetmlO8A1KpY+FD+4LOuPX3exejv8WmP/pz/dXvzXitq ln6olsbo29c/wVWd98yZkeHr76txDwoXrPbsotuX37XB1FcrU1/u/SdZ/5w8 LvGTyHu+dzQPShEjVPUK79Gg9LwLLr6oiG0PZ0x7cO8XHdl2jM/YyHsyDvQq sb/9r5HnAWO3XVn6/qNnTk+ZisVsN8XnqcPu/OaXQwZmTBqJP57InTlDh616 zbBaxzv3e+zSV0+3uP/CH4Id9vMv1XfX5lBX3oSeqTt8nicSV5jTuNzLiPZU p+XX42ok+Eu/adg6cdLYofr9419S7nw3W2Uy/m+dwtv/rcta/3fWDUHjvy3n r9v+GiPpkB4ndPXqyTumjnlLd85ePenYrif1A7N+0KwfJt7oV7pMtlPuOe/J H8fSPz6sS/3W+FGDJ6d0+23n0i2+s1Z3Pbc77YR9R3X7JfMuFsq8S1cekObD d1dP688NViUtPrvVk151tOlpD34/bS6X4rN9elnojHLVmwW7dcmBUc2LTx/0 QK05EiNOkTeb9ejdsc7+O+O+mvih3+Jvl67W2Y3+Xfp4pn4czvTlF4G3moQ4 e7FOjzLJZlR74vC2kG4pE7wLUbkLZ66S/NtF+kXyWu+OvA1RJZrHixtWfJG6 vWJQ3uFTXrj0v12tULJWw9cOf73Ev+7iJB9dP4lv2wf9IqttH+ChdjyR8UHJ jvWb9a7MMXXItg/S97btw+VXoOPSgp2e6AbrNv6hv7ui6vQcsr9a1lA9Yurk 3y6/9HPjYMBEs7+wzI4n8vsjgb3/DfgxbuS8kMGML+qYHU9IT78oU7lBihxb Tjuc34wvTs/NEx2YeWHmaYfzmvHB4RdmPIk8N2HTg5VND/5o0zMf/WrLBze1 5dN+ph41+mtn9OXymWr06TDz0z0rv/vug5U/l21PpE9k2xN4erzxnvEF/byM XXRtr4j2U/eLlhv/XX5BlbbjB/SHdr6B70Bjr+jb1p+Sxc430EsY/4u+bP0v tI9Te28/StLxhnp91sw3pD/a9ZbHHsHuqlcm9Ze5w0N0mzM5E4/847pqX3Z5 81FvQ/TV4UXrDd8TGe9Vv/GHL+bfuq4aXjLzD/m5/S4zf7txsNqAB4fT+dxQ q6194uIIbXuYb+yFyPZi7AnXT27mPfBz6a6R33cpa/Nz8a+Wnz12Pw5+3Hdf bP7gijZ/6r+Ir9HPxqNmPiFdr0LGPnH3ydj6Tm3l62znD6/vkISFqLHJ6++I sOfUFTs/QF9r7RH5vZjaxh5Rza09Ap31yvOKf/3z07h7KiyLsU/ld7dz3tNT Zw24r3ysvQp9grF/9e/Wn9XC+Lt0F+vvyve5sU9Jv2HE4XkLLj3RfxevNTjX uSeuvqe0/O4r3xr3VBZj/7n0tyZ71iM6i/WvlUln9tP0Rc96RdWrZexT0lO/ 8Y397up3ypGlS3ONuKeWmPROz+jhZ1v+AmMfR/n+SymbXw9jb0f5/ks+s/5w cXSlHhh9FVXGfiQdcXSpKhl9f2HtSejYeyNnx/129ZtQ1d345XRn65+jv42+ kfjayv4RdsN8s17ivPlduz6S32Mpb9aLrr9k9xtS6vuEkXGY9S2+bddD8jz8 Olve+V1mPQQdvg/Y/LF/Fk43/NNed5RN9Wn9qu7Z9aE87x4+yLM+VDPt/m0P s3/r9FEt2/cH7qx7GfndUrP+duNeSovJ97OiJj3l1/zDs55XE0t51uPuHE3w 6ke5/7r1Osp59THGX6BaWn8I9cb6vfs9jz9E7S5u9rdvDPP4L1x73rGi3Q++ d9+49rXI4jvjPf4JVw5xkjeMP8Ppo4DNP7ndfy9q/CHu3EA5429x7WF/gzIB B49+UP+uMf4X8qE/XJl/+nIdHe7a8xfGH+Pqt2OblqmrHIuol3HGPyPPh9dp WDL7iEsf1JPnxh8DPX53jz8oynnwE0GGv6Tj4qVbsfO95vnljs9LpDxyQVdb mi//kFdL9EXrT51o/Zevsh2sN+30SbVlepG6lxOt1vWtP/Qv6/98bf138csZ f9zDYr4n9v0ZMT90zzF4fs3DakT6oFYltgXpYu83H+kb84TqX7bL9DKvL+kW qeplTlfkuHpq7cdvjf2oftuVOf+F4C26ffDvSVrNO6reWXuxt7H/1F5rL35v 7EN189Dt2T/+fsQ92xl7UxU29qbqVW/yOxXvptrZZOK5YoMOq7fVPParOmLs VzVozOOfJ5y4r5ZOmjJzSZJjTo/lrX+N+vra+gM5t/0qRejVRF/5OpzP+k85 X7U3bEqiZnEORt5j0jDhgMzf7dG5jb9UH7P+Uug+hu7OZ+0y76vwn66XXnX3 io7RemKy5h18VE5rjzcy9rgqZu3xnlYe+mOOz7bcXpTlqM4y4NbM4NzH3HqB c0FxE598fj/7Pne/yMXTIVXTrtrvcObFK15UOrdL/9J40aq8Gw/rWXduvyzl u0OPaZhn2cK8h/TQPxJvT//5Tpc+vUnvzo+dNfmp+1UK9nveYpdeaZ6qd9tC esBvEfZ+4lWvwprvUv/YdcJY81SH1sa993fp0zo0gqPjCw+riXb9kMvWJ+PL N1a+PqY8Bb/gy1aeRUZ+pxfOWaWz8sd6nfNk0NAjKqt56ut5v731zaUDavL6 kRPX+h/RwyzfvlaOloZ/1dTwr6f+bPKHL/JPbfJXJY3+1AyjPzXC6E/1N/pT Mc/+vLDt9bXqXNqvS33ne1R1suufqrZ9T1d5AxfGvamyFDuwMOyXw3rn7CTZ KuW4oTI8/6bWvI+H3fnddbZ9gW370a9M+1GZTPtx6+u4KT3t153vK2/ar7Lt Ux017VNtOVcuVqEIO/vasBJ9VET/xD5Z3MiMP/ir6Td58i69NzTlWd0n0Y0y u77cpvW6i0vy1Lyqt+YqVCVtAh+duJNpz59bfnrM/+HojjEXddwE43oMrKqd X2JPzmbhozOcVCOMfqN8XyZsT86j1XLsUyPs+6nN++q42R9x90sstO2tia2v +Ctf9Pnj6SLd+mWa4FHpfHSeLnd+HjNtiV5xtfSp+8l99PQVht7M0NXflr7E 0FXrZl2P/17tjJqZdWPt3t0O68RGXrXeytvOu35dewtvc/Hh4sfb3TrplJUv LI95f695X/Ww+U81+bv2FGLed/I/sPklsvreaN9vYPhXv1r5rnX28K+0lY/+ 8fCXMidGLtuv2hv9qYxW/4d3t9iw7uMDFda+weBcl07pi6fGfdjw6wP1NsGI olljbVHj7Xq6pVlPq3dn+s8tmS9ItZ51K/xF3JPK34z/6ogd/web8V+VsuN/ Mbs/pMz+kKpv94eamP0hdcbut1ww+y3ufPh9s9/k8GazH6Xq9N1TZ3N41O+x LN36uH6G4A3qlJFHh1p53Hd17f4VuLTd38I+G/rthNc//npYXzLy65gJPfLr CUZ+3cf6Ezr+WXpXyneBumTN61eXXdmmixv5dFW7/9XDyKefNzL7X8rwG+V7 LasNv3qKzb+g1e9VW/4Vq/8LVp6HRh53vvdbqw/waasv5qfctn+Dl5j9PRVs 99eemf01Ffut2V9rbffjvrPylLb11drKk9XWF/ZmqXd1qv/Sa4tu+aRX+Kgp 96J8n6WYoatOlk59dTL6UxWN/lSJkisfjUx7Uak56e70DfDXC0v0bvD42WU1 5M6xk3qcv55UUcePmSFABf7ye+iHwzd0mvkd9z78cEF9bZ46yw9N+z04ekHV HN7yzdNHV9w69cP1V202fXdZd784cfeLZdfdPJsn17gvLo0JUGfznpw8+sgZ /WBD2WWvE91QadYm7Vlq5Sm96eCL2U/HBakCbw7cr/f8lu4bt4PfjMYPVOG+ 5abGLuSvq8SMf7pBlfsq1pSMg9RNfydvjJijLv393RUdu+HGSrVfR/0eyjTb voYU7Ty42vM7qsDm9hmv/XLG8bvF2IfOf33/ttnPe5muX88+n4erc2cCauQe HHlvSf6PX3v2z17l/TBu+tsQ9eeAcnPDU7+KvOc3jtmPez/J2LvYrQXWGntb 3ufS457Zn4PfALu/dah09dXZ34eolnl6dt0+P/Ic0gW7v3ba7K+5e0US5Vr4 yZ+gFm9vUHf4nkDt32h7sZUfQ9TBy5PazBp53X1voU6vUuk3Lzvj/N39bLws 68Xa/3S5debOUZe+V5Psm55W6eBwaF0PVsetP51xNvhV+nrNYoXqbOO2fRzT 6bi7D+X1jrdrdvxxwemho12PT7f7O6wTvrf7Y+j59XWzPwZmvIhn9p/ceuSs XT9t/ZB+1Kf9Q9ZBMRpU/KQ/3WdCsk/6UyvN+ifK/S6sd3r/3rDvp/1Q6vGn ZWGf6ld/luTKnIj6VX0mmv1V6i12rRKpSgY/Uu8arJqX7coK3aXC0YLXjzxW Gx5tGZhpxwbHd5rwCs2zfrVUj0vUtGvn98Guv8482Cdz2osPVauit/u1SLBa t90bf2e/mA9VnqAOGerMm6vXGXtEF7P2yB5jj+hi1h4pbu3bfdZ+SGHtKp7v jX2lsa8aWftyvrWP/rH25QhrH91cbuaz/nY+rm7mY7XVzsfYlTy/tfYZ9uXk XH0e/VDgghqfb26VSakOqb52vsNeCLT2URFrX3cx868ea+d3ztnvG7U84dMx e939KMctbjxkaNs9rSLs1g1dFhX+ZrsecHpSlw9+J9TSkbl3556y3aU/YNKr fjb9PpNe1bHpN5v0aoCha/KbZ+h6ts2vgbFr1MUjWdenyrXB3Q/zT1CWRiVP b1Yxu43OumjWHTWw9LPfr/eN0N/gk8/6Jb+rkq/evvHh5O1qpIk30PlsvAHf P4nXJW2ZtJn2ajv/6vM23oH8lza/ubNSLF91u2yXPUte3Hf2NP0v+cKTg16d 2avLl2j2oELnh2pyw7Bpq3r46O+bf1Mp25LHauLWqkUvZYr8Hsr33ceV2Fty r05yqPCI0NmPVOsFA888XbzLtc9yy7O1+6LgMd23x6E/NyWOvL/m6vy/G8ce 8Eit8k37W+Muh3TqjB5/QJTvJM4qWmhHt3/funOPxCfsLnla/Vg2XMnveyQz /kTd53H5fNOHBLl5smLV0EMjzt114xDz6xe/LD6aOuciZz9c/tmD1e2Vxbr8 NjTQ3c+APdvUxBM5/1chE2/k/D3Q4eeLFZ74F7UvdZxZLeKG6Fl1f62WpvEr Pbn7/h+vfucbke/4jJczvNIFbRwAz8kHEsd+2uKJvvvj5llX0j7Xm6w/8LLd D4931/gD95c08QHFHqz/NseFyOf3Jt5Az7fxBmdir/t57a1AfSzz3PQ/dw7R y57snnQq3xX9cU7lmHk/f6yLJcoyrt+xdzre4X5NnmW5q1Vu469eOtfsr39Z 69yK69Ve6+f/Pr4wKUaQvmP243VJux+/OteAlCMPPdZtZtY//uzvIH1q/vCj pRo91idGHTry4HmQXmDiDt0zu4139LPx6s/2Leye5ew5PTFTweo9Z93VhVqN epe5+zXd40yZ4T2PBur9v5h4xn02fj7Vt1dHVSrgr8oP6rp6wt6I8o4U+GF3 uJ+a9k2es19PDdSVbXxsaxt/fT4wMGbGTk/0sMGFb4VGzOf3bLxsGRM/qmss +u3X013v6EE6RsI2uS7qQzZelufq3Tvf7z58QZ/N+L5XxpAr+vU/VydUenRV jyx449bMY+f1WBsfe9nGjx+77xUfq1P89XmNc1f76NGDK0+tm9VP5583+2qM Khv0rUnxlxXLcFkHxu948nEbX/12484Xusx5/crGx+ay8evNKu2K+9miM2rT pVt1Fhy4qmdvHTK1cadjaln3dlN3N72kV8ycf/PLoP1qbYu+JRalPk88tu5m 47HHlN1bf2mK5zreP8m+qf1wm57SbFrNPlNe6OU3zt34yi+PvlRpXf42m0J0 cPFYtVel3qvLLrlQtcLWJzp1u+LtmlfaqZfHfNf6U/x048Zd8rVvvlFXqbog tHfJxzr5oSS/9iqyVadp8kvHL/c81l0fLSyZMNlGXdXGczW08Wu+W4t2fvYq UB/IeXRL12WrdGCLDct6Z3yqEnYdfDT/ro26eet9c5fffarexs3p07nLHr06 cMCe3lmfqtJTQp7+/fVGfbtC6NLSK0PV5IXlU6+utExnWNJ5XNz8oeqfPpOz Vr8/hnh0vcbGW/++aV5Q26PP9P25d7KnqXlI3al996sEN5/rRD0LhZcLPaXW nk9RYu3Sx3rbrIA4H7MfV0n6/VG85x+PdMl0S2PFW3pILbvovzNl4hDdcGCt jJcanlEb6z9MPXFQqMq2cW71GRkPqYJb5vSeVeyp+mOhz6wJNyLqwZ5/uGLi /9WmxKHjz018rleuitOueAV/1d6edxhm45P94z+LlXF8kP5piPZZ8fyWOlAs b42wY4G6gN+3NZv1vq7ilPzTp+Lwu/pKSNistyGfvntlzj8stvHPB2pVf1Om 8AX94Wb3Cqeb3FDtMvQ5NPP1ZV2nyfHR0yf6qyk2rptnEhvXzbPFgKtx+3wV oIqlqP3iy7031EkTL64SmfMZKka8su12fH9flRt/986VM/4qw/66ffNlDVU1 9q9Z2SnMT4WNuXW8Q1BE/eRI+XJDjBuquY516cquMFWi15mWiR75qapT2nTs FOeJ9h9RuG2zvg/UmNX+5Z/MDtRLX/TpWDxvhB0dUiPd6Tp39LUSN75LG/BA /XW0eIc/f7isC/k2yLyo3QPV2J5v6Wvjn+MfKlHwztwAVfJEcNq1Y+6pg+ac jXu+ilmvTf6aoWpJ718HHut9T51Ka+Kvxtv9jEEt6pVZ/2k/ec3E0yPehKpV xh+uRlp/eIjxN6sUJl5OVf15+vmye66r23XDYt5cHa72jDXxc3fOG39xrfI/ VOh47a16Xe94vHw1Pqo+xh+q2ht/qF5Q5sCcOL9cU7/vS9+swfCjeujoZlc6 v76sKjatejHDiAP6sjk/5uYj7oH//GbRL8Y2H67BP173YOdvbjfv1qhKb9c6 f+Ygg908nq5KrrPzfNdHxikY7PxayS0dXNbSWa+csvm7/TebP/PfGHOeTYvz bbraiw3V08Y95+7DOWf9zceNv1lt2V+g2oIlJ9XrJvUr78u8WiXL7qHrs9Yf vdvQdeqmHrou9P6ArvPXUjW8xLhfk2bZoLIa/7Yaafzb6sirerpv+osq862K H0513qz6W//vv8b/q9ua8y7qgD3vssKcd1EP7HmXkSPrV+weYU+l7Tg7f64I e4z1ykOzf66XNVqz/fCBAPf9OubzB+a+C51rfeDgFjtvu/Xg67JLmvmO9HP1 hD/uxKAC/2RYddPhkm/rXOkW+5qLJ82Y1Ldb0z2ReMqQzwcNeXxLT9pWdXu+ BsGuffT7EH4nX5Wo35U6NKvMx8cvlrv7nQpmCEl7MGtHhzsZurtPr3VKD92t dzovTj7wzTVf5y/Z3jJL1lTjt+jfnjYfn+6fIOffmHDuN7/7f95zmPRtzPsu v43mfTXbpsc/MMPmB0afS8z5Ux0jVevZRUL9nX2I/ye2brW/Zo7j7nupP9r+ Ab5u+wf6zXag0ehq6ZfqlSuyH9/awt/FV0MvYOhqv6Vjh9O+t5jzzJH3xJjz 0s6+s+ex1X7TPtz9la1KeMYDHfyDZzzQ1zt5zrPrbOY8u/7ejCc6yIwnesto z3l4PaWs5zy8vhnXc/+GOmvv37hp7EM13tqHA/7ynL/XcwI95+/1WHNeXxcx 5/V1YXt+P6vFw839HGqivZ9jkDn/rxub8/96ia/nXgD3HN7OMz7qf1d5xkc9 ydzfodra+zsWGXtRvbH2YjVzH4HuZe4j0DfMfQU6wNxXoGuZ+wx0/FGe+wy0 z0jPfQe64EDPfQf60BZz38LrbZ77FvT6w3U980WCPlk+zRe6pK/nngT33GPv Y9hWwHMfg85j55M6Zj7Rsex8ktPMJ3qWuX9B+5v7F3RtM3/o2Gb+0B3sfQ6v x3nuc9AD7fyTx8w/OraxL/XX1r48b+xLPdHalznN+yqZuQ9CDzXvqyL2/d/t /Q/nbPnVDpr5K8ZJU/4Ec5+JmmXvM/Ex9q/629q/Xxn7V/Wy9u9yI786bOVP Z+RVla28B4w+VKjVx057z8Q+89SnzT0q6rK9TyXNaY/+1cIFRv8p7pb7pH/1 /vvkHv1XsPdTVDT3U2jfnz32vDq3xtjzOc39GbqPuT9Dtzfzvy5k5n+9xNo/ U4z9owu18Ny/oc/O8Ny/oftP89gPuvW7FJ/sB93ikbkPJG2I5z4QffJ6uuBF H4O1jnXo7dhJ1/WzVEmyfPXssc73sOvIImX8dXNzv4oeXNTcr/JNltSvepV9 pqut+rvH/Qp+eury4NP5cz/V1/e8Onvr8SUdq1Lfdi+qhuoiDbOVetHsvM5j 7gvRAea+EJ3V3Beir5n7QnRWY//o/Mb+0dusvZbT2Gt6i7XXshh7Ta8vYey1 ccZe0zfMvSTuOcLYWzqhsbd0PHvfSWtz34neYO25t8ae0z9Ze+4HY8/p3Dl6 lb/k76/7ZXtXeG+6i/pI5XVr0+cK0FXfFE++JO9V/XOsIafCi9zS+Xs1Hdk9 2SXd8WSFl9uqX9cZS2dakyPHeT3O3E+jnww399P8ZNYT+l+7nphr1hN6pvd6 Qs+z64nxFTz33ahj9r6bB9M96xnFeubIXM96Rt2365lFZj2jEm8y65mWmUYX epc3QH01qNUA31RXdcPt3ftPr3xdfZmzer5YWc7rZaa9qPm2veS297MMs+2r prUv/7Ttq7G5z0dtsPf5fGbu+1Fv7X0/Q6z9/8jY/zrA2v8Jjf2vN5v7a3R6 c3+NLmPur9G9zP01Oqmx7/WpRR77Xq+x64VzZr2gY9v1Qn6zXtAL7XrhB7Ne 0MXMfT36xHpzX88PZn2j59j1zbhHpZq1yfpU/5UhU/7ROTbqaqkqDh2yNFSP ydUn1991luq4ZWsu/itnqO7TatG509V+15XsfQ7H7H0V0439ogM6GPtlu72P p5SVp4K9j+eQlSe7Xa/EsfLcNvpQZaw+fjP6UhnmGX0VMPcVqa/sfUUjzfpR PV5l1o8zzPpRjbtw1rN+LGrvN7owzZNejbfrzTEmvWK92aGFZ72pilv9zF3r 0Y+aYPXRx+hDVbf6yG70odDH2BYefagfrT5HGX2qefY+pfHmPiXV2d6ntP1f z31K6nJls16tcdazXlXZ7Hr1dLBnvaq2e7cHVd62h1+4z8i2hzpGf+ovU546 Z8trb8pTsc39Tapy25TLpuvH6nHJDBVUrI1qZiVP+Sqlnymf+5zerTLyt7Tr 37tWnjV2/ZvCrH9VkF3/5jPrX8X691gvz/pXDTXtU2Ww69nQvp72qe6mNevZ WDmGNt4bN0Rty9b+ZbVWZ1RBW797bX1Rn60beupT/Wnre6CtvxG2faQ17UPd s+2ntF1PJ7f3bT0z/U+1svdtbTX9UxW088VQe9/SIDtfnOhp1ou77f1bV839 W4r7t2aZ+7dUR+uf+db4Z1T3uWb8zpDQ3PeU8Vszfp9cYO57+vz/cXXVcVU2 TRsEu7sQCxW7sMUxsBW7u7sxsEXF7sbCwkIFVEQFhy7pEFCkuzwonZ/eM7t8 7/PX+c3Zvbd3dmqvrUb8e/Bp0l9bMP80If4JJswvdYlfwgrmlzWIX0IA89cx xF9Bj/1SOuynusj2oEiyB0EZ24O2kD0IPJjvI+NTzWH+P5317ZnMj4uIH4ML 818z4r/gxfz3HvFfOM78+gvxa3hE/BdPEv+FZOK/GEv8F+zZnlRK9iQYQ3hl 4E78G84zf9Yk/gzHLhI/P8Xlnf5ffg76jG+Wy+3dxPYoW26PGdujrnH7rdke 9YDbf4Vw0+SvC40XmPF47aPxhFgez8o0X3CH54vPOxDzsZ/mD/rw/G2m+QMd nr9UZ+V8hSWMJ2ZF5yvw+Qrz6HyF6Wwvcaf1B8W8/trS+gMrXn89aP3BFV5/ 0SQPwC6233wmeQB6sP3mJckDcILtN4GnFbw52O+j4M1B7yjCh6s8TJFfYAbJ LxBF8gtokPwC9+wV+QWub1szcfpoFRyodvVrl43BcC5ZkZcg4g/hpzn/VOQl eKapyEvQ/GGTf/IStLm785+8BEP4vOzP+/EAn7cGbJ/i/fuXVdH+/TOL7Lf3 /RR5D/aSPIiPGK/Mj+VId5YrHyLJmWb0C0JeNiV5GfJ6kTzdgORpeMF4ftdJ /gVztv++IfkXdNn+u4HkXzjL8rwP46nlkDyNM9ke9I7l6UdcXvlikp/38Pdc Pjzl8n9Te6AJt0fYj89ye6ewfJ9D+gFsZ/m+I9unbnK/xe9Uls8bM17cfJbH D7K9azLL69vY3uVwj+Rp3+M0vssJfw4mMf7cdS9FH4L8HYo+BEMIHxHiCR8R dk1U7PHQ3Uaxx0M+4SnCV8JThG1kz4fD7oo9H64yHuMs0ufAm+3/CaTPwVnW 9+Zx+gnW90o5/TT5D0CtreI/gOeM/2hG+iV8PUX6qBrjx51n/fMipxstUPAj ISpPwY+ETp/dNbMXZcG1RcHXw5v9lUMIbxL+EN4kGFQnPMow0ochjv0lrA+D HeFVQiinX95M+vJ2Tu+er+BbQnRtBd8SUkdo/PO/gOVnxf8CA3orOJjy99ZV BT8TYgk/Ey4k9q8DvULgpYXO6XlN3fFq3LU+p3RCIWxwiFmmrZuMF4xxIXvD fbInyHglkR5B6fCR04W94YqtmnpZYoS0L7WZlX200ZcwaV+Zqtg/IjD/9ofK 3VtZ4yfOL+wNWzm/sKeI/AWUH45SfhDl61B+6R8W+NbFXL4H5xfln+P8onyR v/odKv/dvAXdE5y+Y+aS8rdv+77B3Xs+1c4xjcAmZ7MP3UUrdOH0eEqHZZze g9Khx6RPE+FcIPRPRndD3WcwmWgcTDSmjLzbV81lK+hMrXshZ6g19Hz0OK1d XXOIjd/1pX03a3hB5YP2Uqp/NZUPWlz/y3mHrRoHB8F830rHXt20AFvOX8jt mcz5gdszg/A2YaQN4W1+IH8F+LC/QjdZ/droqgngdKfqzCatHLF95Yc7w4vj YF7neq9coj5I+2ClxwpeL+7NuhOeUhYjx1vYs7S97TsYZFiju2/VGcHTIqXd VtizVNm7Ts8xdUJjK50dDYqjQLx3IuxXz0b5XPP4/k7aC7H5w6qnHtvgtTEO LtVnJMr5Vsuub9mmezS8rbIpbdUjR4xYM7DZ8lFR4FBzjH7TXk7o8eqL+83Z kXAhWnu9vtY5nDInbbJ6biS4H71YOGrISdRvOartobxY8Hzbu9HvNW9gw40T uUP6xwIU9+oZ9tkagvj70CjlexjB35vS9zJe+z7hF+NQKg/dqDw8SOWhLpWH IVQeduP2rKTycBi3ZyHjoe63UuYH3rM/qYDmB/rR/KAtzQ/0ovnBkTQ/EMXl 7+D2zuLyy02oveSvjoeTGjUfnIjbhoJWU1NoyGzXfMKRv+uj4Hr5n+43TsH1 +CL7lP7xYHBv3aC6a/ZJ+/nrhHlNC72dcfel3HbH0mPh3PrW2v3yvfDo2R7G 9UbGQo7v6JZf8r1xybjfUUPi40B/4+2uMw781X8tVQPtAxLhSXrlzzX+6q+i /sNDW8Q0UQuW8x1y/FzTOo2/SdrYP3FQjQk+ePJ7vNvVbQmwfmxGyOeqQdie 7I/g3Zbsj/57yJ9xhO2PdSyI380fSHjBQweTP6PGXLJfThis+Nfxv+8gNiJ8 Ysy2I/7qllVLwQ+u33nAzX/89eTs6LH//Nt3HQkv1K36C8VeqTaa+P+zdMIP /tBwrsL/21+uqfi36/YiPtyQfvHALPLXvLEie6QTnz+B7L/e/4VwTQ/TL+5j fNMFbN+8lU/nyUzGL67cbuzExZVUuPb098Ppccm4pfEHe72VWdJOLuzXEe2M 2lk2SkXDWsMrNf6UJNOFXf/d0eVedt9TcOCOmhm12kfIdBnvxembKF3a3UX8 VTMdKj+gjlK+TPc5d2DHtMJf8KTh5Q2VM5Jxiu3sG/ors2S6AePDlhM+LAaw PNC0NuEl+zBerAfbX2uxfFDzLfnrBzF+7DS21zL+Mpxn/OVeLC/UYP8/x1s4 Cvx65b6ImgpTSkquDjeOxBUd2h027pYlzzmx32svUvC5Mah1yK2aj2JkXIX4 3Ru1rsfayRX346sG7CiecOKnLGfgqOg3+1Jj5Xgf/Ho8YdPlREkfnTRvV+TO HzjTaKpxR48f8jv5Pj3hg+NXql/GUYr9soXrF/N1lMuX+5fLn0/ly/gR8f2x B+cPtPpVcd+9vT+1fw7ZN6H9dbJvul0l/2idPLJvurL8v53kf+xSouCxSz4p 3qP50e3rNqPrMTi7+Tenozm/5b2Cz1dzqqp1y654H/VY8Tv3eTlyXAwabAl2 H6pC/2ZP/bts/iHfxXk1p7O6o0aYfL9mrunXq0v2ROB3wouXcS0if7fnJ045 V/LB1l+15h0sycL/eVf+7/xn7XwzvLT9V7x5v0q73b9/yXsIoh8J7B/TJv+Y /F7MQyX2bwl6FPu/TpD/TPZHjHs79pcJOoD9aaLdDoRHL9M76jT6+flrBT3s 5NmF5pmBkvac0/xASICPrCcv8Mb8TsPDcGSDT/7bbkX+5x1jR/skwr/H3yMV fH5Zr+i3/+joGwfHf5O0pfH2Uw0sKtJvpnxoon7dT/pj63kZLT1h/x2nBNWw u9DeUdYn/Esu3B/hn23G+WeGKPmlv1HIC4fn5nUOf1Vx3/7IgNp1Qzx80HDR hdMqs3SZv9/10S98D6ZI/6SI96oVvfjF73vfcfcsn3lmDmlwoJf2J4sh4dg9 2GBkl9HJcPFXy+d3tYLRjtab/F7Ef02LnfB2bKVguX5Dc+9drt47GA+/GTrk 8Ywc2e+6aUahzaxUGBMyucWt/3df/jS9Z4BFRlWfHcxNl/JvjcnGjdZnpUq6 W25Qyum/fP9X62i/0r/fi/Xsob7ny4kAb0nferJ1zJDxTpIOe/Zh0rLNNjj5 96Gnqb9TZHsEXx2idyU4PNRJ0gG131ueKLCVdOs2P9c86OmF1el9iArcE3of QtJi/2wy8974091K7ifd2woNZnNdhlb7u3/yTfM7Gx50wN3Bmka/Bv6S/ctr PVrX8FOmpK27brzQtW22pMuPtExyXKSStNiP2V6nT9zY6wAD9Jqa/Msv5PXs 377fHf7mF3TJpPU26X/rE3TlY69b/6tP0L8J7x2nE947tjXrOajzhBhcpkpt HfQuED3Pqb1fVOsnvl155bzmSz/cGJrY0PtjNJYV9rDIqhSE90hfwhesLz0g fQl/sL60j3Dl5a9mPxfjS2MDsel141o/t/pinfEd4ueruePcH+O7Zer4o0lY m9SCLyexRp8fbRqFuuCwADv3yUmvMd0E17V/54KHT+VmDHc6iSsW3/N5GOuF JqFKfhD5D59Q0kGkf/FXvgfxvbyPTHjZ+OkPxS8IeVvin9z/VDCory2OX7vk oupimpSv+1hfa9tvV2bFvUmFn2XAMb1rp06Gf5Z0jQemhTp/+1WT8JnBmPGc U7a0v72hQSr0um3w/ZSaMyZUM695pEEKjCzbNBDV7dE0LCK0aqtkmL5j6Onc We9weJ0pOya+Twa9BkbnPwy5jYd3qR2qlJcCkfG1GySO3Y31xgf31LZSgc1q G8/Ff9tzlPafbJ8dvb8i/dpi/9YLCK0e+P6W3M8G/goNwae751VSU8HDaS2r xB5wwG20vqQ+M1LN79/6kvSo1cr6kvQwWl+SVuLLy3+BS+fjGttNHMA/Q1n/ Ur8c1EZZ/5JW0fqX9NQLyvqvyE/vzcj+iPusRfSeC+Tssf2Te/i3vLezzGdp 7Jae2ZLm8ZF8NtCgnlXXv/xJf0PbVlbjnOX9z3v0fg1sv3up/MX5zIrvYz6e HVQ9XdKTWm0r9f/Ln2K6dO87cZyzfJ8smPiRpEOJH0n6PfEvWMD8SbRH8J9F xH8kPZj4laTtiF+BG79nMZves4DO9N4BfuT3Dh6dIH/r9S4Ur/WZ41ukvk/6 quQH4j5LgZeir8r4jvyYK9X07nrAu2s9JoYUJsj+d+/mVmn54BRJi/O2L52/ knak8xf+c15XxDfVvz7Rpo6XpJ1LJvs386vA04+j8xrG8nkt7sn9pPdzKu4L 8Pl7hc5fSYfSeQ3/Oa/lPikZVMmpoLuXpF+fbtnzqpaLpDXoPIatdB7L+iV+ BX8v6Af8vaC1+PuV3+g8F98L+XMa3U+VdIMg6q8l9Vfmn0nrT94ra0zrU9Ib aD1V4M3zeb+H14+gq9eh9SPoLbzeZn9b2TBw3S8IOjuqZMLf9Sz4wyo1Wq+C 7sPrW9CzntP6Xk7vG8m4GSE/690PH+ybHijpLIeDTS5M9ZF03wTXdNsW3+R9 pEReb21pfcn+vaD1J2lxL6Nmfdr/G2m/y/QM4geSvt/4zMFuf/llyfbqQ/7t 9xPML8V4if6YxyvyDay1wNHt/vJD+/cmxlo6XyF4etV/8q8sr5Fdq3/yspwf IQ9dJnkIIvm9mwtsnx3O8dZpbJ+dxfE0R/h9j5Wkv+ECtu8GcHwN8nsgd1n+ F+tkBr+fU7MW2Yf7cfxNAL8nInHO6P0vWEHx8VJuFPK4N8njkt5M8jq4s3wu 6hP7t9Y+RR6X9FCS1yW/eEb6kUzvT/qd3M8nSN8CQ9bnRHv+o//JeDEfbr+I 7xf5f3L8nWifjAfj9gg6i/QHud5MuH9y/XH/RTnXuX0vWB8U5Yj0w9w+IS8c oPfcIOzxxC4XzVJlfrGe4nYq+pesbxfpk3K9Z/F4vTuT7Fk6VAWr6j9pPepv PeI9yuzpij4HziyPi3b8XhC1N/zv+Xr5fpztiL2R8G3Io9I93bJk/c3o/S85 jmJ9Xuqq6Jswn+PD+vD7MOL809+hvHcHut/IzqJDv3I9taX38eR6cSX9Gqby fYOR7C9ouIDiyxJeUfytmN9HZC+BA2xPEXxItHMSly/GaxuXL/qN/L0521vE 92I+ZtF7fXJ8w9or9hfYwvYXkb+188bVO9VVEFH8advlhGTYanr3n31Ipov7 J+I9s0SyL+Et9lckkn0LG2aQf8Pg/ePK/+5vnLm7XPFvhD+j+L2CbHo/pz75 HbA2+x8u3qH3uM7GKPY0MAnacOvffRGr8yP/2dNgK8cLjqN4QTB+QO99OfQl f4Ud2evke6ZjOR6x0nyKT07meERdfl9nOMcjpnJ8802Oz63E8bfD2T7fke3x emwPtmf77S62Bwv77cUH2kGd1sbh+mb3L/V2c4YORm8G3NSNx4t7Qkan/PKA bHo/B9fQ+zlwm+KhcSjFQ4MVxUvjaoqXBgvWJ8xIn4BrrE8Ekz4BU+l9Hgzh 93lcO+uEVkl+hzWf2r5tfNMFqjm3nxXUwRF7zRx3b+WEv+dxxP/oE2BN+gEu Jf0A7Eg/wEzSD+C3Ib0TJH63Dd2r9inYFX7cG7qpbbwnTKH3h2Avvz8Upnkz L07nJ7i2aP5kcbmHeM8F+D0X8DscZh6dVCLfZxXr/wnbiz+SP0DqpyL+O5z9 AfvJHyDfPxd6/aFWK1e5j/gq6YxAyzaf6rzF2mT/x5ds/88j+z8+ZPu/yJ9N +aWdYAeVByn83lALem9IvAeGE/k9MC3WDxeQfgi5zXOrD9WMw8pTbr11X+gC x1RrflVziMFjSSlTxum7QY9wO90FGbHY5Xi3fpeKvGAr64+/SX+EYNYvX5B+ KeWtRRmZu4Y0c5H93jR4VEebFxX4F2XT+0xEXU+pF6/1em6g/t4LX3q+7L+p +SfpX6tsOGO44eSvaP+5R/5nXWfs7kPpQv4V36+n7+Ec66kH+D20TD3SVzuS vgoXGjv2yB0XgG9vLmg0d5MHtGT9dTTpr1KOEO3fQO2R+qOQs9dwe0XcvBH3 T8gVajOofyJ9I6VLuaOY+g8NqX/gTf2TckjlIFoPghbrxZ/mF/rze1K1/cgf Jdot7Eu/aP2BLfujRDvqsH/pNa0vcGH/kgetL/D+ZYRtnwWi+mfzDO2qTjjK bVnvVtsCsJvZ8Z5pq53w8WGdPRNvfMW0+ZdzL7R2xmOv+5rMmeOPTYL3N9pv 7oRJd6t8N+oViN3urCjKr/FBzneV9u3318+xAwcqH6px+T2pfOjH5cfR9zCf v99I9YH6AqpvPdUHWlxf4WQavwBeH+K+55IljaynOnyQ9K3Ii7MM056jJ9df 9kmpH9pw/X2ofpjA9WlQfXCI66tP9UE2t282tU++C25C5Ut6FdUv7yEe5PoF PZvb15Lf52tH7/PhKLYX3K6v2Avg3Lwtnx90igev01UOv0z2gwk5/g0KtyVA 1F7XzceqBcFp4t+wlfm3DvFv2Mb8u1PR5/o6OYlgpF9j3KW9AbDl89eGjnkJ kAnf3vY/HAghA85MuGkUAwd2evQ0boCgFbTPf5V+DOh0yNjzLbEC7yGe/JXw mP2VYv/tvfXa43H7JMn/xHvtPR171Rut54Kt938s3uEWL/mAkDfusv/zPJUn 93un78cvr1mVjs7Wzzcnd3LGbzW3b4xcl4blqneWO3fYY2B7l2j/M6l4Icpv QA9LRxxD44VqbF+5QPYVHBdD9pUSvWp1WlRJQFVwm4FrmznieJ3Gty1V8Vi6 +eWVyfqOGET9x03Uf5zA5ZmI8efy7H4q5YGqkXLfQe5zoW+7fFHuO0h5+TD5 e6X8EnD2hr+6nyMWK+sjGVr8eVS5bK8Vuq2e1GanbizsOlZF68GXn7h6k/k6 nY/RUO1yavG4SkFosTzmzalDSXC6ueGZ4ZmxuGfbZaerHnFgN1Vt8I31kZi3 7pTHyrRSWD16eL/hDyrer77J9zMiuL1iH4r2OlJ7pV18DNvTvpM9Tc6XsNN8 o/flpJy3c3a3A/OXW6CW/cubPU+nyvsa9TTiXw0s+4Xn0j4eSUlOhqXV2/3z h8nvhH6xmvx1cKQm+etE+pVi/PFRJwNq3BxXY2nMdVTPszu63iULPjxvuzTb 0xy9O18e8q5RFlS7Fbyr764TqHPmwIXyS7+g9tuNZ9a+eYWJx2f46F5Kl+2Z 3Vc3Ny0/VZ4TJJ+mgXGXBLfk51bS3tetpF7WmBhLLIwMfeyokQ7PnN2LT6Q8 w5vPTfLKVWtA16ftj2Hd7eFP6efjmnHWMPhnUfK3kM8QuuRR2fjZQVA/v2NU Oyd3SDLe5WnQNRi8jbM6JBxzhLy8BjFwJxj6HZ5QvcEiR8jP+Dxvdudg6DSm kVW613twrd/Oe4NfMASr1yi5Nfc97Hjmbdi4JBSef7Xa1yz9C8Qxvx/B57m4 D97mZUBKw9GP5XmxsOTC3Hu13kr8lfyR634XDXGArC1v77s2T8Qv6HuwwRpX PPJseMZug0Rcrmp706aBK95X21M9fk0cel7V3KLt6ozjGkXqz/wrD3xfVRq/ aqELGvr3tXe4EosWzUwXB1V2xUPkH8fz7B83J/84mrN/vD/xDyzWUfiHXG9B 1B5Jt7515lIPC1dUNahyqlafWNRT+uUq42werhrTtqSJPSxsdmNBw5shEKPs GwSxf7bf6zP1o7er3E+9tuR8LlhgL9fRhoxxez962WJuh99OX3qkyPM75YZ6 fNfMdFhqXrhj6kRHNB+j+3iEegaYt3hwsUplRxx0PC9X1zod8MaF1e9XvsPR 3dRv7T1UjGFTJ3S971kq8eyfEf4SHtfT9mlc3xXs6jaJ2tAoX/IF6xHjKx8u zcPIpc+ii1SJ2OHem47pwdlo//L6eNPeKujumN1k7cHfmH8++R8+hcT1E/ri m2/m7buEZWPNka1ON/32G41bheT/PluBgx98RcETxIJ7a5ttrP9b+i0CTs/v eKVyBhat29Uha6JK+msKCa8Q957qr96lWhyoVmZuroy/cMWt3sVu839Cp2dT NgxbmSH1+K0mKZkmeenY5qJSHlhspPIuL7iak70qBfBxx+ZDCjLkeM+e6VtS fiYDJ45Q2gsOWtTeyzlHx1t8UkH1ls3cRidlyP7tmRe926pnBs4ZntnGuVsu THjSPuTZwwx8RPj3Uo/doJwnuaA6ob7gw9x0zPm54fWA88WY9jls4RatZDkf 5wmvE2MarF2cVlwk/UAL3Ad0faCXj+qtr94POZcs8cVjUhQ8Sjyd3iNow+08 md83dFndQ4kFePuli3aZdyzabJv6ZFGbP5hXNS0y+lTKX3ls9KxKfr9l/p+k j2NL9v8K/juI8DPRhPBM5f/i/NvP/mihL9ddQvnrBSh4rVJPF/Mxg/3rSQ2G aB3rkA5eXs/yB19JQq+9qryeb1LgVe/FQUlaCXI+AjvfL20eEC/p4tM/TGfP jMHc7Up/4GgN6o9aoVqmxb5suNVk4sbtwxNRvcv8E220VJBjo/Ho5Kk4rOGg 4OfL9oj5K9fWb7JgeQzepPEFEx7fs+b3DAN75ML64GVJeibxuIHwXOT3Yj7T 98V0GuoWi1WjlPmEpvY0n4MIj1eeS2J8w9g/KdZFP8LXxZpPFHuN9BPXnh4e cbpmlvxe2OtNE8nfKdoxlPEmfmSQPU18L+ZnANkzJd3oPb0fIvZ3NPuPBW3H /uOS5sp9J5iSRfedWnJ873oNug9lZ9+ptmHlNDhsPKXFnRoh8jwy6dxrvYd5 MIp4YhXfh3rA8cSdkO5DrYtYrsQTD1Ud+RdPjB7FJS+n7lDJe5Bifgo4HqD7 spyA04F54HEscFTXMT+wtO3Nvum9c0Hz5FI/S48QVLG/RcgH89nfIuhowtOW coAY/0qEf41b2L8i8u9g/4qgg+9PCQob/0t+72fnE/JqVJakxfz0IP+VnK/N fuTPuk7yL2aQ/IuzSP7FPyT/YizhfUi5ehfrfaasB7L+Bx3YX2k1ZXLG9UMZ YNgiQ3vAe39cxfZm0d5ktjcL2uSDQ+oTO5X0V90uDo8K7lNBi/HueJf8x4KO IRqG83oW9nSxnhvlkX1ZjKeeloI/L+kuvgr+PFTaSf51oXfWZ/+69LdNpfUu yhfj15Dt32K9P6H3fKS9rwPb8wWdxvZ8QWuyPV+s73PsjxG0H/tjBP2I/TGP CY9c+g8E/2rH/iRBV5tL/iRBC3+SsP+15vEQ9DgeDw0aD+lPPOK7ViN/dBro JqzoOkA7AjLta9onv00BNZfnd5oVhcLrpasOvB+XDCY1FrV+1z4YmiRXsvy3 X0T7xHwNfaHsF+jD+8Wb9guU834pO6HsF1Bvp9CYzzRQfszi/Ml8fnjR+QH3 CX9a8nnVT7r/2Azo/kDKKLrfaD9Dud8I4j5kf75PkPuE7kPO5fsEYv0spfMG mjoo/cVR3N8P1F88xv3t6qeMD25IpPGReLz0ngXU4XgfIUfWofdBZHvFejjP 9m7BZ3rR+xJyH1yn9yokHUrvVchx7sT5RbmOXH9vvo8v6p/H55/IJ9bHcvY/ iPUwkt7zgCKOlxHfX65P5+MmT+V8hGnGdD5276Wcj9LftMhGeY8Cfl5R4rPk 91cofkvSI4vofGzaXDkfwbbDGeV8PKy78t/5KHGSp9L7FDDs05SGjcbly+/T +TxsE6Kch6CprXyP05rT98OpfKzB5fej8xyr03kO6Y2U/uCXr9SfKRyfJ/Ry K46XE/QGlu8iSL6D0yzf9SX5To7f2hvK+zBw63/lOdAb76S1xDNbltfgiZki v431Mvgnv4EnkLym81iR12ArlY/aXP5Zqh9/c/1rlpH8u5rkX7me3I8YpCxs VuHXQHp/CFLGb1Lk46nqXv/kY2hnMe/2wqtp6Dr8pOadDjlg2Zfk7Vskb8Pb B0o6XBxG6aJ/dacr7zlBzUrDNc4PzZR+ExEfKfCl7xAeFQr7+761Q7v00FBh O6tDcYOCS3CtgS4+L/wFPdK+24/5VmH/tXhgcTt74B9Jj40tvax7WSXtIAev 9V1glPtH0t2mTQrFxRXvSjzmdEHrcrrwj1hz+YIe/p/y39yOm1dzaZako7rf mO9vliZpt9vW1zpNS5blu3J+QX/j/IIO4PxmJotXDL1eJt93qtMnwruvVjm0 XWlzbc3AivrCvKs87X0kQdLP31h33vcjVtI2T28FWHSLluWncn5Bf+L8gnbj /NWqftJvf6DinbRXNVpu2uZVKOkT/N7qOH5vN7dRvSpTomPAZ9TnF/5aoZg0 /0RSD4NY2PJ9zhKTwBD8QN9Lv1VdKl/Sz/n90Ln8HrLzzCUP1ncrgjM99P4c X/sNL415m1nev0D2yzXwgm150zxJW/B7t9WQ3su9YJHU9dvEAjTf7fD0aNOX 8v5A+4kvglP73pW0aoJCgxOVJ+3m56k+Ses8azEvuEMejFMdH/do4EesN27z GM2EIpne2Caz4dnUImhResnyzhR7XBzvknVpdVnFeyr8Xm1PQ3p/uP/mpq+b 7C6DA/Ma1Fpb9Rle5f6JeXDn/gn6T+VvUR9z8nFhUqug4w2/QhnhzaIR482a sXwWxfZJQ5bPvrF9Uvgnwobe7uKkEShp+5FHOzy+FyLtMjfH7+q9tGmApGfc UHO9vj8YzjIutfgNZHluGNvzuxMeN5xnPG5t8m/AGPZv2NJ7KvIcEvrQy4Pm ua5vAyS98PinKrPmhQLPr7Sn8/xL+kVG5KPqXrkQ2E2/y+hIb2jI8yHS604q b77FqQi899rfXf7SA5bzfIj05fyecnd+L3mEl922hi3KYNCmESYG9gHwpwqt f7HvbXn9C7oVv+/dhN+ztToOHTILS7CB8Xz1cf4xct55f0n6I+0vScfQfpTt +sD55Trg/IJO4PyOvJ9Ee4qovZJexe9lT+P3jkV9GcRvJI3Ebyri3Ig/yfqi Ob+gvTm/oG05v9jHo4k/Svod8U9Zfnvir5I+RPxXlteD0//Dn2W/JnH5gg7j 8t8yvxTvP0SOp/fmN9N789Le+V6zkXPPkoo43M749HGjzRXvlExhWtiLv2tQ fvF901xt7Za6FXzMwH1TjOGBIvm9vRvR4vtrfyi/+L7X6lu/0+6XVbynwzTh npaA//fzfu2jSlDjrPIuAVShX3mfzeB4ypO9+S6Sdt/bdXm/nvZooLmp1jT/ CDxV7Xuzh/cq0p9RurzfNoG+B3fGI79MeOSwi94HQAt+H6CA/LH4kP2xehuz lhtvdUe9jv2Tmr1zln4Cl32XQhI3umDnhje0dp1xwI9BP/toznXBqh7KOwSY zO8RnCH/L8ay/1f4Lbz4+xpUPgzj8lfT+wcwjd8/SHdS/NGgx/5ocZ/Oi/sv 6Gk8PlbUP/jIeOvOB8l/LMa5G9lvMeeBv3rNb+9Q0GfN2vUfM+ExuhM+FrYg fCysTfhc0o8o8p+h/JJOovJAl9+T0GO8rQAuT4PxtsT4bVsxflTiXis5ng69 7SuPWvQZe23wNDCw+YjJ4Y+Krc9ZST19LOH/Sru6YfvERb5drCGO8L5wPeN9 ifKeUnmSXkz1ST9kvaLp7oN6v5b9cnqxbHKo6iNWsdSprWbhCYlTNn0tX/Pq v+ny+9+Fyvcy7teHvxd0VS5f2AVUOw+qqdwr/HGq+5GnbpU+l9+n/qe8cK6v 7KXSHqw8VWkPfIhaNb/bUj+sZjToYt0eduDb8MtAox8+WFDi02boZTuJS7WS xgffMR7aERof6bcW4y3oaTwfgh7H4yVoMZ71aH7Ag+ZH+gMq36b1I+gqD2l9 NWX8tWf8vogd46+15fUl5O9mFwg/7Q3jY4l5E/fZ2v2O+TWvnZO8v1CvZf9+ Xcc+l7Sm1r5j109+wGkti/ZbrowCXZ0VtV59eIqGlgUPTN9EQxvnoya/fB5j PsdPT6H4aUjl+OluFD8NZzh+egDFT0v9YBnhUcv7fsXZSnvgP/VLuha1D3YQ vhyeYHw5FdWPehy/nUz1YyuO3z5B9aMWx2/Pn5bX3ntgPF44v+Hdtp1OMr4j qSX1V9CRLWg8zvL3lbj9uVyfLvc3g+tT5/5uIbw7tCS8O3hHeHcYQHh3wHh3 2JTw7uAI98ec30sR+vwuHh+BJ5zH4yPa50ztk3QGtR/W03zhn/bKfMF0mi9U o/kCHZ/OY51GJULhUtV0zZ7XUXPONYsaPZLgUFSvNs3sn2N1pmcSDXsNnxb2 /5v/+wvzh59aXZfnTcme3/1N9j3G7I/DbetqJ0s+ItI1jZV0UPtE6WIfacxY ccy4Y4KkxfzbLnh9GQ7YSvr0nId1l2dbgP0C7avgEw/XJ/rNWa//XurhhoWb XlQ5Ei7tHPpa/pdu20ei97UmRqtLouA7/aLvydQXdzqEw0/6xT2znm2PSPwO zf3NW09cESbX+746x9p9fekh6esn1B8sNfDDRht66w+xSIA29k5+LcOjcdmJ I7vH1UmCVX0nHXm/KgpX7L7de++0RFg0f4HTzF8R2HeJ0eJFJYmSj8+ubZ0U 9jwFvrRY7vtmRiC+t7w5pefaZCiwWT7MwdxX7sdc+1Z39h/wkPTyvPDjnhv9 0HSdjhdGZmPatsuPW34vRpOanxqYZ6nw8uzddvsWlMj7eyPo/Ef3fcP07/VJ x+I9fvZrQkpxxPZdKdXmJ2DXeakh5/LL8GPJ7FeabxPwsIf+vq/pZXK+VPx9 0RYlP0yYT/knlin5YZIn5de5rJQPHpuofHl/kOQZdPBJCdy6Ox4Xr85Za/e5 Qs+bSPINrrK8ZnF3WAyuMCz7Etq5CDtsbXlZTzMUC9sb//j9pQijhtbSH98r HBfMDd2x4F6RlJOX8fdxW5T8UEWH8g/VV/LDLs4/4aVSPmRw+aJ/gdy+19Q+ mM/tE+1/SPIcmpx+k7OqdQJq7XcLXXcgV7a/N8lzeKY0M8rYIgb7fu++qFmN PDS402Xy7aCfuFRvo5neyDzMWHaiR5XlQbgy6uuUfqF5mBTvknC1KAILC3oN enIwDwuKR0aPMo/F+IE+6Vfv/sbeoeFGnQ2jsFPGo4Ej1P9gx6pfBrbu4YcJ jk2TXdz+4K/UEdUexzyA0EFTNQ00KuKMx3B79Jcr9cFErm9kglIfNCqk+tTL lPbCdm7vbjOlveDP7dV/+6yyvv83MF71qarL1j9yvDZWpvFYROMBdXg8wgz7 tQh9XY59mms8rVUvAyeTPQHvsT3h8l29l3O8Q3F41GD3STEqnF3Uys7y51e0 M/ukealPNrrbN5/VKsYbL9b/ZTy6fzY+9tC42b6WJc6rcmqny9psbH7fKzB8 sC1m39I692pFNrbRW+36/rIPYlFOp5ZqWdjDU8kP0zh/jXtKfkjg/DZUH3hy fbWoPnjE9R02bmw988AzWPss612XPVnYmNoLHbi99/Z+rFdzrz8OOrp79tNO adhgxMQLS/Tc0aVnd62U7WmYUXNlg13m1/Do9e9d3jqm4Z43hlV2HL+KfeJr T7l1KBmf5GVgy7Zf8EytiB6X7qfhcHdb+xJjX5xRebjlgLoJqPEZU/v/CsQs u+txu14n4bOcH8lW6V54I/zVU4/eCdiFyocjXH5jKg+OcHljXiv1QS+u7ya1 F4Dbq0XtBTtu791wi/y6vWzgVbn+pY4XEvBM/uPmP1bagJufxYyg8wn4nvXN 9qRvoiPZS3AH20t2v7ZevnlLAB5fd2Dv+IWxWK4/2K31LFeEqLNuHdxj0b76 69ofGvvj/W/RSeVdo7D2/oKao1MP4cO+vatNrx6H+lXaBtoOeYOPwi697z4r GmvNapG4544jWm8ttSj8GYuPdiv54RHn707p4MTpzeh7eM3fH6H64BXXd57a AzO4PVeoP5C0h/ozk+wjWLyQ7CO+kbMPv4gskvaettenazpm5GNG5Qg726o+ qGL7yEqyj2C69pfDY4qLMLwk8WWTO3ewCdlnMKmE7DNtFoeFHXbORSOfbd3i vL+iFdkTMIrsCXjwQ9uOawfk4VmP/k1tDj/GTmT/wcFs/xHnuwOdf5I2ovPv 7//K+YfmdP5hXA29vA9/9dLvj45ZV+/0FW8N2LL+3/0H4d9q62+56lTBL3Az 1Q0tnPoVz9jWT1tskwWdL7072meAOw5UOV9d+jAL2nx97j35yUf0KkhMz7XL hJd1nY8WzLPBptQfMOT+PGH7iHZ36s8gGi+oyeNVSuMFKTxeL7JP9A0yLwLX 1isT23f1wxpsP6m/T7Gf4Fmyp/1drmxPY3tJf7KX4HCicRTbT/x5voQef5Ht ccW7lO8hmOpD3zZKfdCH6sNgY7LXiPHPdVfGHzrz+Neh8Qcdnr9d1F/4wPN3 nu1B++l7COTvef6gB38v+qNB/YFMWi8wrkhZL9CU7Xm/ab3AcB4/a01l/EC9 Co1fKtvjBrA9rwnZ88CV9+N22o9wmPfjEdqPcID33xvaD3CF9+d02g/waBvt r6e0v0C/Ku0nF9pPMIH3myPtN4hke2k812fG+ymd9hOUuRE/W0D8DDKYf5kT /4KhzN80Pir8DTQiFP6DL4j/gDnxH3Qm/gN+zG/1iX+B6XDit1HEv8CF+Zf4 fhnzL/H9cWoPbOf2tKX6oZT4K2jmKu2D19y+o9WJv54g/gpniX8D828wZ357 mvgt3OXz5xudP2C9Wzk/8DidH1DI55sXnTdQ8JnOtyd03sC9PXTebOb8G6k8 COLyLvJ5NoHOM+jB51k8nWcwjs+n7nQ+Qf5k5fyFlBbK+Qs7e5M9P3m5cv6C XgnJF04kX4AbyxfjSL6AMBvlvMcrdN5DQ5Znfkco8gHUuUvyTGeSD6BXNZJH Kjkp8ghsSVPkEQwkeQSEfCJofZJfIJnkF9Bg+eIY15dD8g/85PZt/qa0D3Zx +9ayPDOU5BkIJvkJckh+AmR5ZDDJI3CT5cnRJO+BJsmTUETyJGwjeRKGk3wI D31J/gsg+Q/etYssMyz/hRtqahslhZRA1T4kb69+rsjb0HtbkefhTBXOyY0y rbewBMavJ/n6wxFF/gW7rSQvp5F8DWGlJC83IHkZStf11J+vpoI9TUOCp/8t /+pqpXwINaLyb7du80+eh/6F3z/8leelfvOV7OlSv4kjezs20xhtYeUQBLXG TD54MyQQTYtnFzr+XR/bbVxDdg8MxDoxAzysy4LgT/eJowPDfXBM8VVbA+MI qLNu6yabmQGYtnbyBe3r4bC4c9jHHecDpH3vk8Hg54EbzSRtSDRkTPV4WLdh GC6umdan8Vlz/Ex4TijwnFqHfliiduA7Luimty7W9BpEcv5VlB92aGqtvdLR CWckZOlX0rRCn2u3fQYsccDY0S0fPJpjhRPHKvhS2IrxpfYSvhS6M77UZf5+ Gn0P1/j7cPoeFrB9K4jtJ8Lf0KdzyPyriVZQ0HJVYas7LnBuQ7uTK8a8QY0W b3c9WeYG34pU7XVfvkZfTv9A6dCK0x0pHRLIXgSZZL+S8RF55RPOje5tCSvd a8EldV+4rfz/EpppKeWhqK89lYeivmGMryXwtv5Q/Xif69fn/KL+NmQ/wxK2 n4lz/hvVj0fdlPqx5QelfvxNeP8o8P5DGc8/l/H+xfffuf07qP0o2l9kQHhf I2k+0OYh4X3F0XzgDJoPEPP5mOYDvHg+93D6Yp6vVZzuyfMVvp7sXf5sjxRx HwNoviTdn+fPnPHDDtF6k/bZHqNpvQo6hderBq1HsKD1iLweYSWv33qcvpfX qyenm/J6vbOgcDAMToLLmxPTS1I80ar7Qv+uLRMh3nar/puNrtiC4t+lXdG1 2/F7t7J+QP/ouv5d13+U/sBJ0X7vH75ylfT+VrdLC0c4oD/H59/i+HS/M7V1 bpyJhJMPrkSPefQSR3ZZf17/eiSMc+zWZf65v/KRbp22T0NiYS32KTWrdB3e cv4Yyg/T/ze/jF8/Sf5IGZ/bnf2TKfQ9DuP6JtH3qMX1+XD6TS5/4f+mw5/p ZL8R9p4pn2u7zzD6e+6PVXvht84cMhOul+w5EQ+O9Xt0buu8Dtatr56b6xsH 1Uwmfxl8/QXoUzwypHA88liKR4bnHI/cke8raNN9BbxF8czgz/HMXVUaWV3t 42DIHfcOZ556orjHdTyc/B3tVpv5L0kvxYsjpukPeViMyrb4UYYjBtD7VcZk v5ffifjbtMNDGpabF+PyzXUWWLtl4d0Gw1q+a16KQy8enNyzexoWlnUzMTxW gOuNQ35pZSaheFdOxI3e/7Bj4tKPBVhC8cPowvHDa4oO6Mx9FijjVGUcHscT n31M8RCloMQ74DZLlVnV1yko3vsT5Tun9HCP2ZODDpcbTDDtrcLuuKHpv3hj EScc9IXii4X98PXQyKjwo7/xwo0HlayDU2Q+w/ynma7x33BERJvnPlv+YC2W B7xZ/w8f16bX3PxP2LrzxMZmBX/wPZ3v+J3tD35pb2/eLfGARSpXje8//uAL Pu8L2V7xLoTO81pszxD23i3cnhsvKL6jyijq73k/UOI5RBxU9Ael//K9Q+HP XZlO/c8/7X300Y9yGTf68/6O1qv/9kPEN4hyXoeNqnlKXYVvKL4Fsx9RPPIW xb6Xi1VPUvyxqKfRpDpah0Mz8YH6EbP+D3Jk3KL4DWr3rP90019Y55USP4Pq EUr8DLo+al5f7Vq2bI8YZ8+pFA+9s0HbxDUFf79rfn7/jsJMdHIfM7ihrkqW u4LjawI5fnsVx9+04fhtEcd67FR+teT+KvSj+B7M4XjtJhe7rrbRTJf1i/WS xvHbtlNjnnUPS5L1iXivxJHNtTVeZaJH3dw2vd0DZXrK+4abfHbGyvJE/ac4 fjwubd+gfT8+4EC9uyM7rsvCJJJvca+wp9xw0O2Z7wVL45fPP9AoC6ezvBvC 9hvht28yiurv1ECpX8Y5iviwBdxfcV+7dlMa/yWGSn9kfj2afxnfIuKCGvP8 N3o1tCxLQwXvvt+9YZuZifGY8LmVrkp+r658V4DLjHYHxmkk4jk7s7lDJxXK fm/jeC4jiufCu+2UeGpc8pjiqcfkrW84NPKPtCOK9ZfuNWxvYGgyXrLbcyHq pgrDci5ZFf5NF+vDQvdz/Z8/E3EjxZNhO46vFuvz6X6Kpxbr85N6xMV3zRLR oP7TFVvdcmQccxbFx6EXxcfhaIqPw7YUHyfXw+Alk+zT/7ZH1H+G4701ZkZX vR+WKcsb06vd6W4L0iUfEd+316X4c4nXdJbiz0W/O1za2x87JGLqQb3KA/7W I8oT6+3tzQXmlTziJf87uuHw4OzKyejD+qCwR5ks2e+86fDLCpwyomWcWQPW 78rYfuZO+ic8ZfuZWF9vuD4hr+3h+gQ/iV5K4yHsnW25/U6HlfbL+kR8YS2d mvNn7Y3Hn2Monk6km3cYNS7phgpCBg2scednkowXftSB5ncqrQ/ptxfrs5kv rY9SZb3nA26n9SfeLd2nQfP9h+Zb1hdN8ajA8ah4lNarvKcm/NJWBuu+nHeL w1FsTxnL9pXBHN+ayvHjahz/Wonjx/3ZnuJD9hTswfaUJhT/Itdn0VI7+9c/ fOT6VB8QdOemYwTq3Lr98UF2jrzXfJbieXEYxfMix/Mix/Mix/PiUYpvRXfC R5N2d7HerBkfrfXTwxZ7W6bLdSXSJ1G8j6TPUzyQXJ/+vnZTd40Nx0FjfPPH /U6W7XMmfwzWekv+mCXkr0FH9te0pvuWuJLuW6Ip3bfEaLpvifnjlPvGsIzx sgT/mrN42mVj11DJvxxNCO8vlPADZdzUEo5PFfSKbRObegxVgQ2esfmHHyjW 05S5hB/YOP/c0/0lWTL/KI5PFbRYP4sH0nx0oPmQ6Q/L1+x5+Dxfxv0K++g+ so+CsHc+Kyb7VTO2dzqz/cp49p/uLyDvP/cH4nE3+6sEHcb+LLFu+zA+6tYh Sdf2nIrH6ocdzI0meMj7pXZtTd2+FnjJeXFn/VfQWW4bTWOKA7BabOLnPOMI dDR02r5yVgBmkD6LG1mfFfEApxMiTW2OVbw3m2fU6/iuKF+8NmdqjyND/XFE kzMnM+554EJbX528iz7Yf9MQtVdlHvL++iyKV6vAecsI+1NYIwAbW1dL6ej+ GTWO2hR6BPtLfWUe5xf0dYp/wxPv4692m/kAYl9Zlt/TDkDbIyP0VH0fwbua YDSvVQBmWinlQb4JlSfuG1faSe2V9525P4Kf3Tt7p9OGY364kfoDE7g/A6k/ 0Jf7I+Irdoyt36eDTcX99aqtpi1cVNcfNRt20PLcVoHDJOINsp4nG2zS98Hq 0ZnPW7VNg3dzNjeePsQdl+uvihg5Kh2aBE4MTnLxlvddzs85Zv3OyU3SI4z2 j208wAH9ThtEnNteJPmywLFt6pZZ/Zl5CAh+smyZwk+k3BdP/ASmMj8RdhCx /0V5Yr9f5fg/Qb/l+D+x/yNp/4MJ739RnuD/Nzi9G6VLO4zYT8MHUXtm8H4S 6c94P4n2rDXQ+VI6VIW3tF9V+ocXI87bBYwXsz+K3lOqXYXeB7h9X3kfAC+a 0fsAQu7a0YTwa5wf0n0owVeE3LKD8EOh6g3ilzKujftfM0bhl7J+4/rKeQ97 nk3Mufv3vBfx4Jld6byXOC/8fTndL5P0Tbp/JsdzDZ2XoEXnpSxP8JVVk1M+ ufeJhdfV+v5uP+Q9FppW1j08KhpesT/oAduf17I/SNifBV/5fP/xjp814kCj ca0HGz55QqOe/svnW0TBTPb/vGV79z72/0xle7eYh3VcvxPjbYrxkfeW6TyR 86/N/al5iM5/0Z9N94P/yUeSFuvhIcljMJDPZ5H+g89nO74vYsrns7w3w+fz 29HK+Qx5fP8xie4/QiHfdxTttGF/6w7yt0IT9rd2In8rbOT7kC3pvh7cT6P7 j+J7Id+q7VDkC7DcQfcf42oq9wXlPdXMW0EjNnZJg/DtdB9S3gvPJ/lWjJOQ b8/7K/IL5CeXp+81U+H8JoXlwyOS5Hqb3VmRfyrw8UjekuvjbHi7MfVVqZLv GJF8BirWP0Tcv5Br3pD+AQPT/hi3WuOIk+xV+3/NSAZNa/K/9mf7/ep88r/e Zvu9WE/zYYjKzzUN6hlsqrIu2gWu70wILhueDHfI3wAB7G8Q68eY2ydxBrl9 YlxukTwNVqRfSVwpZ76P2YTuY0JT907hIbdUcPPXkqnzvifJ+0k/9Gh8TtP4 ynUo5MN1PL5xtzJLl+f/guC50QUtizLhuObYf/qjrO8g39ccw/Mv5MknPN9i vcJkRb+FhZUU/VZ+X43va9an+5rQahjdTz7RXLnvC6F2dB9ZtHvGY9K3RXys WA9ffij6FtjcpPvKyVuV+8WSXzloKvqbnM8rpN9Byl2yT4jyobXWqGtXwjF5 VaPVJ21VsJfjCfqz/8P0gupe4jM/mf85+Uswif0lYr7nNR5lbL0pG3zY/3+C /TE16Xs5D+VvHRqm6v6E8eUNz/tsVsF0um8Nn+m+tRynA92o/e/p/jc04Psv xx9VP7foaLy8hyT4wFa+DzOf+ifrM+f71HXo/jdMfE76qxhPMf9TY2g8v3wm e5CYR7Gf3mco9hBIdFWtW3Ttr956t+rEaf1y4QTHr7Rk/4jQ4/pPGbvUyCsX slJnb9C2rbi3e5PjU2LZvyL2Z5Zqlv20b3nwmu1Ztnw/R+yPGtmUvuk2xZOc Z3+ROEeCDKm+3GSlPhD1ZS+PG1NtczI4uVzbeP1HDrxie12zkYq9Dp4eIvuc 4JP7uwe9U3VKw2u+3/q9OVIAEXHexX0Ck9A2zNLiTedCsCR/DgayP8eG44cm sb9HrSesyreNhmmqmxvi+hdBBscH3WB/kVp/pXz4EUjlD145cdfBmCQ4fS7y WYtOhbI/Yx41Xr4AymH0n3TtU31ToL82tk1dXgbqHA8VRvFQcK6rgi8AbQlf QPJ7P7JPgjX7T06zPVvYUVdwfGnviSUqzWwr+TuklOJxD3C86aLx5C8Zyvb5 Duwv+cH2+Q6sryxlfJjzrK8g48PUY/nZjuRniPxf+RksSR7FZiTfSvwbc5I/ Ja1B8ikMYvlzEcmfsJjlz4Ekf0IVwmOCqYzH5Ef4UuDE+FLTCX8KEhh/6tLO ts/eNI3BerSPpT9qsP+3y6pe3rh/sNkvs7wwbPXFXePQIVdsOLnHwGp1w1Hr Tb93A41cseu1DgFDd33HvTt+ujof9MIbezf5bi6JwMVJP4JKHbww4bR9pbbN o3Fk4ewT5gnv8XG6yeB3H6Nw7SpjtxMzbTGc7PnYge35+nqGj0M2haFtwMBL 0z84yDha+1MHj7rt9pLx1sFXzLfohPmjZVbDcYfj3+H9Uz02Tb/ugi5pjVYW V/+IX07nTq60zwWHJR5a97mdI5rufmwzeawXeof1f3H2DeLRjtVzvk7ywqTQ CQHXDb3xd04nt109P+LC8jXvwp87o6l6rxuGlp/Q8XjNds/ynDBvz+8iB89P MKDN8Fab8rxgnmb1nR+me2Kv1Z37wXxXMHrzed7JDE80pfxQyVjJj3FUPqRR +dCEyocrVL68h2tG+o6kWR+S9BLG5zrG+ktNXi8hQTcC7o+IBM8nPR/AUU/U ofGDYBo/tKT5lfgfb2k+4DjNBzyl+YDdNB9gzf6VUTQfUu5WkT4oaS++fyTo W4yfVhqjrHd4z+s9hP2fK3m9GzAeSAjvV+EXmBpB+7UHz/9nbr+I60ye+VN3 +R83SZ+q9XnOjWqO+IfwYLAp4cGgivBg8DHhweAjwoPB1YQHg93IX4u/yF8L 98ifi+vJnyv5cdeOSWfmpgfCGNLXpB4o6k8lfQ3+g88m5St1wi+T+U2pvZIO p/6Axl4F7watGO+miPBuUJvxbky5/XcYz0Yjk/rbiPFvfnJ/LRn/5h6v1xxa r5LfjbXtuLWFr4ukAzKv1LFsZo+byxQ8HgTC48GnJoq+jG9JX4aYd6RPJ5E+ DbMpHew4XZTnQ+VJejrVB5OsFfwf7Mj4P724Pn3G/xH6/lD2R/b/3/2BK2ab P+9q4wFHEuNzBzt+RBfeTxm8X8srkX++MfnnQYf98Wo9aH4vsb9+E8/vSda/ xXz+R/+W/1dTm6j4e5eSvxeEv1fYNyLqtNmWc9oJyhivbSLjme1gfLciwneD e4zvVo/xz6bT+EA6j7+gxfzUekB4STo0XtiDxgvE/LTSyAk4nfkact736jTT xgWe+jaL6Nv2GYTVKV2hiy6yPxd5fwha7B91Wm/wjtYbxjK+Ujdab3iW8ZNM eL/8Yrylsby/AhhvKZb31/I1J2/qNv0GdZf12xs/3Q26E/4YfCf8MQgj/DHQ zFbwx+AI4Y/BxWgFf0ye95u3+5d/6hEAVZ4reBTy3KvK76OLeRH+3VjGC+vN /s1c8m/CFPZvPiP/Juzn94gOE94SHOb3iGIJbwk+sL85kvzNYM7+6KPkj4aT hM8m77WtI/sZTCF8NhjI/mlh5xF654Oj9xZGB72D7Lm/LF+2jAW/efetfqnb gL9FT/3WTWLA9NKoVc1ePmL5NQbaeajjo9VvYRrh2eEhxrPzWHpp88RWyfJe ztJJFwd0H5Ei7foaynpMwTmmLzcVt/LBs80fhzc/moRHvtj1dBjqiQmTL5re uxqHZzfqDUqu/1H6WV5S+/APtQ/jqH3oS+3D5dQ+tifGYGtqHw5kfLkknt9I xpfLJHw5sGV8uZ+ELwfTuT9bqD9SPp7I853N+CNivh1oPvAbz8czmg88xvMh 7Js2jKd3l/HvPpNcACMYL0/MRzLji4r5E/c3vjG+owXji4r8huT/R1P2/4/k 97ue8Htge/j9rpb8Hpjw94+j+ANJb6T4A4hgfLyVjA/4/tK36BYvEyTfE+sp avL8c0crfZJ07w4r248Y9UraAXwJ/w4C+HshF4j8gym/pEOpPIn3pU54eeBO 6wGKaT1AOeH7QRHh+4Eu4fsBbFHw/eT53ubIrvjycfHSDth/V6pHc/ufqD/X +pGFwQ+Y0jOq5clGMdhu5JaeT7uEwP6QK3sGTfmJdX98X324319+Mn5z18cN f6LdyxlvWy6PBUf6xQGXtO2C7sbAgitdvk97GYuTDNvHDPsVDCWj1NfN6BeK blNujLbbHAKFNzuvV1ePwE+n6wxdlBkBb6c+633QKxgNJ/S1q2sdDoPVH1xx 1/4rJxT6j9DLjIIgK/1W6fO/46pZXbcM+fgDpta6NeF3x4r7J4t+rJ1tdfKb jBeZGOJRz6xZIFZdFezfcEIMHJv/8HfJu0BsMuNJ6J53MTDMYsLL7LWB0u5n 9OJPjpOZP7Y9W+yf9uq7vBe34I0pFr//Aep1/Qbs2uIv7So9HQlvafMjwscW +9D316CTE1enw9lFjeHjiDj8efn410uqZOjZ4UUjncax+OX92q4piSkQVpp7 f7nqO2o6BrzqNTEZljVwf/zn09/+aPluLamVJO+JivnOv6LtUTPoG3oS/5By itaS1g8WlCZIOUWsl4F+X7NelXnhYeIvMl2U95z5i1iPY1tZmjdL9UP90IK6 lxYnyf7vTx5kdjE3AeKSCy2umQTit9WV1cr6JsLOIUm260YF4qaOxv/i+yDw 6ZJ/8X3S3+d+i+JBXlxV4j9AT727Ev+xeoW3Q8GKDGlXS9mnxIOAiAcR9qEB 1hQP0pnwMmAK48VFPSJ7gLCTCb3+40SKP7hD8QfSbvIhUu+fvVbyGdshVRZd TKmwo4nxmF9q8OFpt6AK/2Zk1N5pk0Nxn3VS1KFHqVLOc+2/aIf3lVQ5Pv0p nhDLRlM8YQuWRzM4fvAKy6NbOL6wPsufYj7kfVX2F0RZjh/l8S0Npj+f9nBK +5ew2qnqJyP1NHgdv0rL8M5tiOX3rsS+FeOwnfCt4MNDs3/+LWmfv8X+eHGO ZbC/vAXjrwh/wRK2x3Zm/7iww8Ry/Ich45uI/HrTyR7mrknxHsLOk/PzvRLf cWPlXgUf5YmzjdkCTRWmxD400crMhNQLC+xb6VbEJbRZTPEYw54S3kpXik+Q 6QNutfiHf4Jjr+9W8E++8v2rk3T/Sp4/59m+oD3ra9fCsanSjiX8KWOCnXK8 x16X/hWLIIWW54cx31cT9EW+zxZP+hi6sT4WwPrvNNa3rFn/XcL6lgvrv4NZ 32rO+NWPGV84lvGrLRlfWOxjdfYnCVr4m9aSforjWD+dSvopCv20hPXdKNZH B7C+e5H10W6MF+3CeMriXPVgfVvQdqyP13MMzDZWvYeW6553rWXmhe3mqbY0 fvMBtKu96bD6vBe2Jv0bTrD+fZr0bxD6txHp7/CI9Xcj0t/BjfX32r6Z5Rfu nYQV6uMu1w52gWF5ty7fW30T/HucTLjl5yLl6VqXTWcuCPWCB6x/F7C+LuTf +3P3Zrir3OT98+F8n36xMn++0OHprAmWC+zwo67egYy5PmA9bW1RuLUdivQq lA61J5Ru9DjgDwsjYiKjoj/Ad87/jvLDQcqPbbm8ZZQf9Sg/BlJ+fMjlux1+ Mq6FWQLci42zeXXCBvKiFwbuXpAE38YZv6m6+YOUd/sQ3ifUbKjgfUIjpV+u 0IXi87Apx+cJflTJYfG7ac29sOxu7Hr7pFS5bh40v9cc/srn3m9qnBndyRm3 7A2sP/hkKuQdvbbl+CdHXNvX7+lKTIXaSxel6LRzRPMl57d6F2TB649mq+8N DcCFWWe8qzn+gs+DcyNfb/TBXzddjOZeyJTnhcCDDe9Ra+XBv+ef2JeTG+0/ O97bG6eOOqNefD5Ltqdp5KvuVTf8grsG5Ws2jnfGt8r/WWBxw3J60Uo3+b3+ T9eyxRttcJRnUXq9+xnSLrTvcv3TfTdnSfpDC1WGZ7VMKFnv+LZ9e1fcPqHZ t/XXM8E1xq/vcg8nnDhOJ6/e7AxZv9jfBw2zg9Zk+qJnxDzLHVHpcLrwTNHS e554cWXbhEXf/+CYoBKzr++LZLxRttOJQwZ5RXjnfN5M7VPpOHnsvi4XXEtl HFf1yUNj3bxKsfI+JR2O61O6kAf8DCj9fuq6o1OSC2DenNGDHZzL6b2oTcVw YibhoxrMqWxyW7MQbfrY/9r1OQ+HWWZ0vhVdIOMbxblop6PrX+1Rvowjqvd0 xTzHpELpZyywIDrIIVd3RXsVuG577elWKR+LzqTuiF6hAlGexHMLafohY0Me 2jjtsxhfqVTGbQp7jUaf9MvHv/9Gjef6RwJyfuM1X9OGufq5Mt8QvRmuia9z cbZ3jZMJQ3/LOJajbA8XtDhn15D9HlumkP1apLtaKuXD/EAqX8gLJT2ofEcP pXyZf3PKpHpHDuVCjIvGwYX9/0i7+yHzm0Uz1P9gc+eCoRO883HFzFamkVkq 3Gpg9vT9tXwZpyXO+VE/DgyeUT0bZ50n/4dIF+doX07/wv4NkS7mVz+S8GJF e21PEt7sskuKf0fm30HtASduzy9qj0wP7J5UJSaoEPIyVbOne2dg+ppBbitH FUm/tcDdCu5V0DFiQTpOb2WwC16VyHUg5msK+T9xO+PpiXR57nk+fqx7NBmX b1H8kdLvIfDZ1FIJ79WI8F5luliv7xg/1oP8qTJdjGdP1hdEfQldXXcP2RCN D3f33jNFPwQuds7Z3rgoBvdGw0ef9blS3hLzt4/jn0R/PSmeAdcZDHS/WlIK Zz0Nc6ovDUbns799F9cok98bR4wcNGlmgaxX/G/TcX75CS1f9KB4EUzleJEd bP+y53gRMd/WnL/up68xc9ZnSHluMeNjC31M8JN5hI8t/ZcbCe8bOjLetzi3 8uxMBjq8TQPNlqvOd7Y4jW+3DnRZua9MyiMBDousX5elQsHK6ft1v/nBK8Y/ XUD4p3CIx0u0U4xXEI2XfBelxJ3iP1bxeG2m8QI7Hi/xfTVeP4JviPXTn+Lb JJ/4wXh9kykeSsqPYv9/tCJ8QHt+z1WkuxNeoKTFOl69jvAIGxEeoUwX4zeR 4h8lPZbiI+HFnmgFX1e0V/CvXxx/4cb4uSJdjE80xXvCG8Lrk/KraI/tHcL3 E+uljVHW5DsWSXJeFsx7/yT7TgIs3kTxk+L7qI0UPyloMa5N+XshV1uzf130 px3FD8v2B3RX4plhHOM5C74i2q9FeM7gzfwhmvgDlK0l/iDyi/lvqafwB+ju /GLYkGmlOKWm/opj8dlgyfxd8Ckx3z16K/y94p1exhfsUJ/il8W5LMbjXUNT W90jWbCI0qUf90LlRwo+tyhf9M/hoRI/Dy0TiV+fclT4tezfmtsKv4aBPdre LB9TjAcdR8de2pADAq968r2leg+H5oBpwahVY1uVVMR58nlpQucl1OfzUvAx cV5e7aicl3K+X8wgvEMTXyU+XpYn5n9N4cmWy55WvLvob9fEckSVHDm/Bzld 2Cm/0H0D0Lw0ovO/83Zai8J/5y1oVz1o9O+8Fe0R45HqrJy30J76C5u4v4K/ TuH+jihU+iv91j8LnzZJP5OHG7Szn9UNLZD7c0+V5UYlVwoguDLWS76YL+Ne B64geSYtQJFnZDxBV3dFnoGQPXTfYgzp15KPW9oo+rUcr+LsTsm1hxRAXANF P5fln91O+rn4Xr6/R/c15Lp0+k3f13pB+r34PjVf6Q/s06L+iHFK06D+qFVR +iPzN9LWf/5Ku0yOE5lnykCD7p+AdooiX2HILEW+AsuNJqu1T4vzQG24sMNF 6v3JWLem4p3ML1qX2xzRy5Z6sG/VE8cdY3/L+MS234IORH1Ik/mPtRlt9sIw TaafOfKgWsMLCZIedKefyqk0VuY3Gd65ZUSHinckW7fv3LzalVjManzWY8X+ WLgc8mBO85u3cBjfR3pC9kh5jj1fdmSTnU6APG96Ef61tCv2pfokfZLaU+H3 oPokfYbaI/N3oP7J9BPUP5keTONVgV9M4yX525xqynhJvLgLLYfd6NO8WNrR xzEt5L8fieFjl6jKIL+BgkcGjoxHto/8z6BF/mdIn6T4n6Eb+Z9Bj/2dIewv /sL4YTaMj2ZyhnDYDtEv7PrP75FWj7ulv/+GaQ/PD6/X6oGMf23mktLmVoI5 nuV0V0qXcb2alA6OY3oZ/Vn0GcXvNyXdFhfbzVt9/60VDFTWvxdEXb9dqtbv FQr6O9Ewl2jM4vTr9D1so+9xO9UPKm6fOBe1uH2HOP0nt0+ka3P77rB/9wz7 2797Wuu9XBwDDzpOrt8o6S0sZ7ypfoQ3BX0Zb2ov4xdR/GEcdi49aPC+ljPm 0Pc4nb7HZYx/JPCq1jL+kb8T4VUJ++LHn4+LG3a+KOmuRIOOV/Yoq4f/7Eqn W3y++QQqv86eNyo2DAbnHz14dkck2gWeixrmGQUXH7V0OHDRF+3H1T7XJz8Z WtmusDw1IAhPRoTVWaqKh1cjmjxfsMcXN1O8M7TneGex/ubQesP+DmUR2yAA NVot6D4hvQhHLlS3NR3vhilv8q6/qF2M5t+3Jq2edgmN/gTDNt1itN3ztACW IQZXfzPOokWx9CN04vJOhiv5YQ/n375LyQ9vOf92qg+acH37qD74yfWlGMUM 2RBUKvWL8xuOl5leKpP3q8R9uvU1F+XMrPYLj/WqPPHekjLZL1OmRbvSDVIf bBpfIOOiNTZSeSLeSZTnTOXBXh6PetQ+2DWPxmOYldI+2Bb2P/0DOxoP4PGA Jnwf2Y/vf+5U5jcU56+8vSjr7kNYRTQ8JhoF/YzTTdm/Jvoj1sd2fv9oHPtj vjL/+2Q4N9QrIgGWXgus2ffhbSlnPehiUmvz7Pugxfw+aBbr08FbcWvbIjmO wh7Z81Lc4yODi3BwvbYHzfbloIiTFnbg0sw+navOKMUNG7HD2DPfcfmmqw1W epTjyLQR6rtehYjzw1HwA8vCPcPXZJZLueiyP33/9MdV306HikFfLWrJJM9S RD6vp9F5jRc06HwWconQY91TRtQ4trUQO5Ze2nCxTpH8/6ITnbcif9/linyB AzMKFH1erKPOT0h/d+pO8lNNkidwKMkP0o4h+l2le45jyd5cvJB9S8fLsBTf D+42vkFsNmY0SjGsHPpHjpv4blODGbNPx+bg9iRFfsMYJ9K3X3cuW+RgnCft AKLdS++S/i3KedrO89iP0j84pKzv6udDcmW5OYUkfwk60UmRV6EOyasyTm0Q yac4aqeyf6S+3GnvzLIOVwvk/hHjFH62kkHcKxUGkLyMGaxPi/6/60P6s/Ar 5N4JD9xyOQs3mh1YU29PoVwXol/V29P9pKxxpD+Ic2wX6Vf4mfXRzcp3pbi+ +tdZd6LC0GVl29n3/q4DsW4GsP4kaC+O3xdyp2jfT1fSdw8tJv1I5Bfx4VPZ HzMu3K671cIkGacg7vXMY39Ve/JXyXSx77w1Io80OOwv+Ugw0xup/ZDwv+2X 52DzOqsf5ZcVSbnkIvFjtGJ+HER6Lmr0fGptHuGFZ/uMiqyy6r2sv8qnSWXd 2/hBR/rFhckrNNO6+MJh/+phPiP98I62r+HsLA9oMaXO2qaZfji55pL0Ks29 4crM7LpTX/rhDh5vc9ZnxXjPoPaCF4+3OBdFfyI4/Sv3R6TXOEP3XYWcKvQW t2sUr23yf0VdeVxUVRRWMAIRGMNdWVzGBRVUGMQUD25UQomklIxb4pbwM7Yk xQIF/CE6apFUmIrJJggqmhoIlxh2RQZHRUURyBkhTUMLQRGyd+65/Pl+b947 896995zv+8657wSiPkK4lvQQOn7M9Q86Jhz8EOcT7MD5JPjRQa5H1aH+I/B7 prIyIby5FcYtQH2KeIITn9/kz2l+f6uS5ndP311e71uYg3oTXb+F602F3B7h 61nc3jOuP4k+HGhP1MsS7h68D+1RPu25rbSeYc5LaT339NlFvgm/cr5J6/cm 55fOGP+EvaJM1BO9NJLeB3dyUD8kXrhIhv6I7JKfeGYu+SNY+Bz3f9NzkS59 iPOx2Czc70zX0zhNbcH63qgM1BsHVqP9MRrUF8l+INoX19Nz3jBD+8S3Q9Gf gg3yUVBxPkrvT8355wH07+L+FKdmOCN/KYgdpVh19E9m/oNcO3FDu+Cj61cO mvPgzht+sx3xiVFfjMe0Do/3aa0/OeEVHFEi3vgX8Ybgq6H8+vgt0v3BJgnv T//jqV6KPxC8RuKLMJ7zxW0a+3mdSc8E36Ln9yxD/kjvxTdBiq9wdLAUX8V7 GbAJ++1FYr89aOHxmXjbxh9QTz/tIenlIi+7rkiKp7DdX4rHYIfxGJz+leKx 6FNM6/gsxmOw3ob6uwz1d7HuYu7i/bZy/X0a6u8QUiP9H8Ejz8VF7Pdpv8m6 t8vtdI6X2cxK8+Ha47dY4di5ES4BlexDzH8xK57/Wof5L2bL81/DXCR/J+qZ fL6CCS5NsaBgtz+Nv18B+huu0/0MfoSQ8Wqr3LoKCPBefkd/Mx3mP9r4gXtl BQzi9YGZvF7rCa8PHMfrtQhv+XB8VZyO9XYjef0YjbeC1zPe4v1JX/P+ndN4 f1J73r8zD/MooMHvO8MvPD+XiPk5cOb5uWLMz8HQ8xlTt6TnwJr3q7cZV+UJ HXRdn/wx7jV5wq8qs6p3PusqhvaYkdNNr9SK/BWdjxrXL9VVUQC5h0dnpGTr mazQtuq+ZzXbzftjUlyi/YsKXn9F17tbDAxTZTeIereOxF6LJ7U2MIPfC2+n jWoC2zJZUIenpqfeRjNr893fNKxoRWpUqpcOFkt+oIb9g/keyOb5nty/cb6T 7kTzfU8x5n9ovl/ieNK/P853itum13E+0brWt6O+sd0K8d9hxH/Cj9P6k3H8 l8b9x1BHzP+Q/9gkx3yPRTf6D8JZsSm4P4JwCuFjPc+vZFmi/yIcRs9zQYZ4 jp4nWY747JqBk+TPyc9mIZ6EVwzx5FHU38R5WudGDognP+Lxg/AY/f9ojFdC Z5pxGPFWJI+PtO77uL234PrUFvAKUy5oj/IVz+nF9Vt7e8Rzx56g/knvvTfi OVEn0h/vD085niM/IPZXx6Ge6se/L0Hxn3BlxXTUY5fvw+8/0HnSx077oH47 h/M5imdK1DdZCdc3A+0QHxOuIPsJP6PeSePiMxLjqaIT8TGNk9jv1Yr6KT3v bB5vlJwv0Dx6nXni/3wf27HHT9If6fqCU6g3kv1g7u/Jflcc+u8WI+RHNK6G fDxW75LGQ/C5Y1YeQ1ThJbBh6rTqL+U3QHb40GcDfi0Bs/SQey9H34AXRksT Tr45fiGNfy3UbFl/IcglX+TjW193jzCZfAlceX7dlefLYxPME6NdcoVfIn1k 0oiipbqf8+Bep+Vsq3s65p2Rr53YVMTzWnomdyi3Ty4oZ4mN37YaD9Uz0llU 494N2umiZ05HmotNmsrZO9Lvv4PnwbqBA66pxXel+kYbnliSqwYji5jCnOgU 2PCR4U/r1GqovXtm68EVRyBxpvOpnMs99Qeq3n8EjC1X832PWrBcpF49YHMh fMnj1QTOH0uSle5LNmjg3FrvgFmfNrJf3rG3DGy6Cklmy+a3+TeKeTmsZrri qX8DK7cx9jVLewQpedmWVy2a2KEyv+N9cx5Duayt7OP5jWxveGDSjgl/wqq7 UYZmnmdg9TUXtzDPFug3VmUYWpYMb/iEf/vuZhazz8l3QW07zFNJx1C6H49D OL9dy+OpG9bfMeP5Uv0dVD2MGJIx5XvWParG0WGvFsZrF6dZ12WwxY6tjSaR Wgj2G7TcOPIxuHwuq+88Xy3Gd2nuiX2e4cVifPP7s5zo3tfF96PCer/Va1CA Rrz/Gd8Ncf6pvuf7+C/tJb4AZzAegBmPB1R/VdCQNDg/PkEcz8ZjeCF72KG8 rWOBG3Vbv8+uEOtw6LDh0ZrZnaJ+qqTB/KJ3eI2w53Wh6m0P6556dpnBVx5u u7VCr+44pY75q7QGTHj+j+K56EdfayO3S20T+Pt+2fGms7Zt4nzCndDXcVkv YX9X3DdBs7pEPVd96H6T8NAuodfQ+8l8EvZIPrkSvkb8AZO/lvAHOCL+gNOI P7j+q4dyX9+5F4domO39AI/gtmawPnC7rssiDLoVDlcOhjbDq4gq0xC5CtZ4 L2ya0v1A2Ef/pWNBXen6tDGXmd2x2GjYqmPaqnPO74VVsoF1u05OXqhjJfEP PvygtpIppesOgds3Rfkrq3rm+6n84e5XV5ZCTJ1bSm6uFuaNUYxeP6cULn0S H1kP18D0+hfxjeWlAn+OnHmu40pJaU//jQfLBndUFoEj7ieCPbifCAJwPxGE 4n4icMd+GbAX+2XAf34Onhk= "], {{ {RGBColor[0.139681, 0.311666, 0.550652], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtVEtPU2EQnRba0qL39mlra7A1VBJ/go+dO9EYobpQMTERNCq6EY1LF25c iYkx4tpfwNoEde+DbnSFBXVXi2xqS8FzOLOYfHO/O3fOmTMzt3b93oX5qJnd hw3BPsTNllNmX+HHEmbDsA34L0bNqkmzNfj/PI4x2YLZCvwMzmJC9x3c95kv YvYT5zbM4K/iGKuYHQLQw1C5z8aV/+1Bs+e4z6fNrgRm8ZjZTNasDtyJlOKq sE+4X0TcryE90/8Nq8EfQ54j4DgxYtYit4zZ+WGzB/vF4Q+sDcsVzY4iZjoQ X9ZDzgV8+y2lGOLEvPa/sDNx5ZyMy6dmxGZ9xP0C3seA9RnnO9TWQK6XJeFP enwNd99TwnqP/Fl834R/six/PtT3zHMYOt3A82PUn4DfCFRXvqhachHVUx9R LWnXnHzImdpSO+rG+snjDXBm09JuLi3N6JM/46gzYOxWWpreTKtX5LPmWOsm Ha4GwnhSECa1IO7TUc0PdU1EhcvaZxCfQM3X0NNLgd4tgc8pr50asOecAXIY wPKocRPnnVCz9QpYd0Npt5Qzuw1/Bf7rnOpY9FpOlMXheFkYxLoYKAf5kduW 10ysDDQdR21TeOj6vLZ9zgc+G+RC/4dJg7pr3oPtaLz3+lP32WMvdmGguIfV 9748CqUp9+BARbWwJuaJRjRrxIlEhDWFmZlOak4ulzRDC6H4ctZbPpv8jjrn k5qLj6Z9pX7sHeeRudqef9Pr4o72neeu8yRfYpJb0/MQt+N8uq4P54L/Bebv +rum5656/OmK+sqd5sxS21XXfss1Wc5p356F6iH9Dd/XvHOmNj3X+VxJuzob al8bHrOwT/PDfwm/K/h9z3e45b3ruc/dYhy14l5yPjqu57j3kTtB/oH3ZOBz seN51v3ftu0a/Afjw7ZY "]], PolygonBox[CompressedData[" 1:eJwlkk0rRHEUxp8wM2Zk7nXnXuMtZuQtH4GtnZdkZlIYShkpjRVhSdlYSSQs lS9gS5G92PEB+Bp+p7M49f+f85znPOelvLm31GyRNIG1YQeBVM5KJWylR3rs lcZz0miH9NAn3Rak15T0BXakU8r0S8fE3vnfEGuQn5AbY/PknyTwZqQUdso7 6ZJCsGPtUqEoTcH5BP8ZHAlclTy8xGbTUjV2n8WK5O/CvQb+O+c1FuCv5p1r FIvgGwI/SSMDrdIh+Dr4n5z3tNrjmk271ZwmthHRQ8o1mbZ7fIvkZxjKct41 m/YPME8Fr2G1xrEa8Ws4a1nXZNpMs2mfw2q8bxLXbhpMS1z03GFyjtB3B+cb 3FX+z/yv4KtknfMl8B3YLi6ZwX7gO7Bd2Ezr1N9G+C+9lqmXhI4xrM3gM3RO 4zZO447xXYBPU3OGWQ2isZR2jgax88B7NZ/FTKNptZ10Fb0n681mFDGvJvGo 1Xvo7ncNpuUP307oN2C3YDeyFfiN2K28gomYzXrkWuzG7Nb+AZIjQoY= "]]}]}, {RGBColor[0.19508684102303314`, 0.4115953881756716, 0.6267746267557064], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmG2QlWUZx5+zZ1+Ac85zzu7ZPXv2edglgWXJyJyawoBmgniJUCnAVHaR FwtyYdBMEWaaicoCswwywCksqUhrLAvcBVywglFr0sqZTCcwvjh96As1vUx9 sv9v/heDH87c13M/9329X//res5Vm+5ctb0lSZKjhSQpav1UmiSztPFkliSz JyXJJW1O0vN8vZ+stUtn9mmvJnqq6K7OJGkTfVO36N4kaRe9RjwWFkzrdbKk nCSL9evS85E+3ZuSJHfreWbZvFt15jrJq4jvXNbE/PU6uT9Pkoe0X68lyYdF HxKdi/6MXrbrfV0Cbmq1zm/T820dSTJN/NtEf1A6TJ9iPrN1r1tn+kXP0N5M /UqJ388ImveD+r2TMz1J8qIEzNR6rxjoSNLe0HPJ5+E9oLU/ZE2V3sfRLbOO M8RnjvbXdVgnzrQ0TO+QgcWG9ceOTdrb0GEd/qfN/+r3NL6V7Gd18ZG67hZN F7TOkYzTog/ULRP6H5K3rSq/6blHfrrUYl7w+aL4TGj/C1r/Kjkt+r2q/ScU i16d+5HWpWXHqa7n2eL/ptYhravl20bEnRjOiLjPCX/hK3KEmJIf61Lz+IHu tkqvFyYnydf1fp1kvKazg7J9UcFyiRexGggfDpZNLyg4/oNTLOsXejkuHs+L flJ7v4zn38iOp7T+UPtXS96Y6HdktgV7iTV+GYu7r+jXJvpPWju1no/9p+s+ j58y3T8h/vu1t1lGl0Uvz23H82ELurGSV21troepkWMPR56t1MtM9F+0f2NT uSt6RLyXab1QtHxo9p/TmTtqvtujdaxk38F3bvh4AXzEc7n2Xk6s7+yw8Xzw fC7sPR/0Q9K7IfrTyovrWswLPo/3OUa3yb494rlCe5/tsnzyH/2/2uE7nN+o Mxv0G9LzS1qPau8x5e+sKY4R9Ur9rSg4psNlv6Pe08wxqmh9I2Qhc6t0m5CN I9JtXGfHpjg+r+vOMZ0fF31Se29Ij7qeh1qND39InI/kEDkJb+LFPWJbj/he iPjiZ/x2Q9m1cVb30uDTzCyrL7Mux0Mu+ULOkRuH685b8heMA+vWaG2X8Bek 09t191H9BhSz72hNS87LX+v3zZLlIetIw3W9Qzl2T9mYBrZRu8gjbtTcMZ0/ m7jO0YU4ViTrt5L1fvG/WfXVL76HqVHxGunAIYpXyP5a5litLzse5O/BwCP8 NxH6DKfO3WW5caVYtEz8dL1+p3VutOxcoNbv6zGe/Cez74kz2L42NSZ+P3PP IA/uSB1P4kFMsQkcOpc4PmcKjtEWnatI9urcMifC9rnRC0arji0xIr7YSr8A H3ZXjPtP6OyBkn19ruD4zCtYt7zoPeoli9hTj3/r8POv9Nwj/oejzi5Kh3+K /ol4Vov2wbmoKeJAPIYCGzdJtx4JWSUd1is+M6XPbNHfqlvXscS4dEE8/w5G 6d7WLss7Jfol1fksnW/PjWf4BX9lJfdachsfdgZG0Uv7i7brvop7xiTF/S7p 8aDuNMVnV9VnutWHn60aXw40jVVgFz1rZ8Vrd+QOPR6fPpO55vfh19Ty6Ofk MfmMLfRDzoAJh3PzPC/7zoSsb8v2P0rnadp/PXDjWvG/JjFeYyc2DnQbux6s Gu/AnS01x5k6xM+355abpO7Vm6I/3ix7LoA30vPWpmXdovVa6foBMFg+eVP0 IdEXM8vf3WEd8DF4Qv6dapgP/L5Scl+kJ24tO++pl9MN58qZhvsBuVgVz9fK xlXwFfxC59HcMw/xoTZ2av+Q+E7TfjM1/5Pi09Pic9OYT3Jj/UKtNzTd4zfr 3tHMGLdB97ZUjUXbc+Pq2rIxt9DwbNGq9UTDdo1r7U1t31jDsScuxKeu+1+S rO7csxT4M9LlPnO5p723zzEltswc4EJH7jkDnOqXXq+U3YOvydyL8uhHw00/ r9P+Kb1/sdU1hj/mFa7MD1vDt6NB07+Y/+bH/MksMTnmzbzkeuD+YMyLzFv0 M/z/qPT6vPK4KNufaRirRoPnZRlg176S+zG1z/rRsmsfP+LPqaHb2phRWYeD rgUmggXgEziFvddHT4FmvTHo/SXzRyb2rwxZy6MP1QJXuA/W1XuMZw3lbLec VZbMW1P3E2YvfAGGgW/gdr/i8Q3R91QtCxr+Z+PMxcTy98f+vVXHaG3T7w/E GWZEdJmneD1Qcg28Gn1zWcwPObM3duTuKdQzdfRyzTzhzcy4NHwOzvVGb2Z/ W/lKzLfFGfJgUdRJJWaDd9VcDwujrzBfT48Zmzlnacyll79DyBdwtz1qqaPh +bmt4XrfGLPK+phb0JnnDdETidO56IPkafqW3sCKfz4h20jI1tz+XBkxpedf ij69PnWdUq/oRa6Sw6x50P1Bk8Pf07npoo9k3psaZ3amnrVOZs6JY9F3Nqb2 J3M6/T+J/k0dD7VemWMmwqaJhmPeF/13PPrHcNU6/0v8P1k1zoA34CM4+fG6 cZk79JqnMvvrZ32uEbCBGQ+cICbMvcz3xIRZ8veKX1Pv7q66B17O8XWBEY/0 OB/xH31hNDV/5HTJv/drvzN37x2KOZIf8SMvmCWHA/f2VhzjL2fOlRWBpdQM tfOY9vfq1yGeezL3B3oSGPFdnrV/S+rvDOgF4evTMXucCL8xtzCvM58fbDp+ xJX8HenzN9TuHtfO3pIxl/7GzEqfoW+Ag2AA+qIPfYh8w940/IXf+nLXJzW1 Q3vF3LMBM0Kz4nmbuZtcYObB7p/32V/MLD/NvM9MdDxmSXooduwpOQf4lgDr ieXj8V23q+LvVe68p+a8I0+Y1dKYucmvqzrdW+mxS3PPlHwbjcW8jqxq7vO/ q3l2Ig/wKTmLLWfjOwXdyLH5mc8wNzEzYguxHI/ZF94tMZOCRfvq9gP+IF/J 23Nl4yO2EJfPdVlP9OV7hm+Nh8vGGPRkhlmVewZjFuM7HVvoFcyAzKL0C763 5sbcS11ynud6r3GHuY9awldrq64/7MRG8qUldKbXcx6MAkc4c7vO/7jPWMls iG+YJ7kLvtH/wBJwhTNgJfM7szp9ivmuLf5XuUs8/6z43pn7Lv2RfGYdDHpz zbMWM9d4zJj4nz7KOWCFWhiM3oq/i+H/NfG9szo1NuGLXamxfEngOT7Dj3Oi 56IrejZy5972qn13OM509tqGXTEfHYi5fUnuu82a59kHoqYGyqbpTTxTa3w7 fCw3z4GacWjJW3r34ujp3OM+d94d8yXffH01y0LmYv1OMBfVbNfWuD/c5f98 +O/n35lxn2++ttxYzDdZVrPt/C81rWZ90Au8gif6fCS3j/jWeV/N33pXxzfL wejFzHfEkfh8SOfHRS/KnRfIpS75HkIuuUYucIaaBl/AFPrW/wE8MCDD "]], PolygonBox[CompressedData[" 1:eJwllVlslVUQx4d+vb1tb+/Se3u/3n5f2xullBLXaCSIEHGJiiY+tIpKF7Qo S9GWuLTlDY0IChLU2KoUZRFc4q5tKQXUmIhG4hJjVNQ34oMvmBiNPtXf5P8w ycyZmf+ZM9s5r3+oc7DCzLZBlVApZzYWmNUlzG6IzQ42mbXWmpWhQ/ANjWYt 6Ktwuj1j9i32n80zizn7Dr4RnydTZjuhzVmzIeQz8B+Dtx55OCvblVB3yawH jDxY09hcj20OyqB7HDnvfN7sNIHNcP/PdfgXzf6tMvsPGoGfDM1OcP/ZJBjw d4MXgteFz2uRWRMYJfB2gxfD35ZR7J3oC7zlRs4SCb25ifi7kNPIE8hl5EfS ZkvBT+CTrzfbgv8S+F3cdwz8ft4zh9wOXoDvBnwWID+H/0b4hMeEbT80AtZU qFiP8p4feU8TeJ+C/yzxteC/EbndcwveO+C/Ss7nY9uGfjW6Ee4bg38easV+ CPmplHLuuX8P+4X4/8X978MPot+ObgqMZeAd5qytVpiOvbdADrCthx7AtsAb Sa3VgdFQrzPXOUYIfi/1qCQ/k8grkBtyql07eEfAK5LTjmrqyhvnqM9F3DkV qAc2Yx9jPx4oxzcjD4CfRl7Ie7PIfeAXKtQT3hvXcjaVUo26kbsyqoX3YD13 rcO/Av4m6Fb66Q1iaET/J/Kb3rs51bKIfydY9bF6y3vKe+tq5D2B7rgO/uGs avEM1BzrTf42SmfD1GtLWr3Vin4fb8tC02C/C0YGvgU6jvwhcjP8S+S3w9+G vAnsfcgh/E/gTcCvz6lXOqB18CtjzZ7nKELuIcbd8IRg3fBXgvlVpXK2BH4m 0tu8J0fJzV7k2HsJugO5kn7rTaqmAfwxKED+FXkG/kikXPnMrMF+TV6zUUTu Q74Y/Vu1qqHXchF0qlI93wFv2HwJXob7diG/Han3vIc3oLNQvbCMHi/QD0ne dzKhmt1HPsrI4yntEN8lr0fqfa/hPfg/HQn7i6QvJ7NLcsq137kW31Xovye+ CuQeanUo0qysAG+UWk1EyoXPsM/yy5FqVwP+fuwvz6lWs8S0CbytRWH9DpUy mjGfNY9xlHirYs264XMvcinWrvMd1Ij9P5F20znwu9E3oN+W0k7z3eY95b31 GxAPob8m1ix5D3ov7syqF2ahj+iPJ8C7tFozPQD+1znNimMWsG8j3tPcdwt4 Z+uUI8/VOOwc87EKn+aUesJ7Yz/1OGzaoQfgw0bVpoz+FddHmv3zkQ9GitFj LdeY3QV2Bz7LkbdyxyL4qlC96TsuGerMdUn8d+A/TM77kurBeejuzOgu/1P8 bxkraXZ9B53kroFYtfgA+TLeeoY3nQu0U3y3NEXS+cxF8IOx/pZJzhZjvxjM UzXaUb6r9qS1qz1H88nVBZFsfUYvhD9BTH8ktYNnPb6S3uoz8ij2v3D/5zXC dGzfob5Lp6Hl8KuzqrXPxN/IR0P1ju9k380L0pp171HvVf/D/C/zO4+H+gP8 L/iEeF4siJz3mfsB3VJ8coF2yFWR/mD/iz2nFaF62Hu5mbMD8Nsj5d57Zgd3 t6c16/4HfkN+Xijq73XM+323IweBZjIP/1hRvec7uJdaNRQ1S56DK8B/sE53 eU28NmuzmgXfSQlqUR3qr/M/xv+a/wFJiPMP "]]}]}, {RGBColor[0.250434671460819, 0.5114201490740664, 0.7028175522010973], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFmnmUVdWVxm9VSQ3vvnr1KKpe1TsXE0uNgsxDVMAhSLoNtGjEMaCAqKgV gSwnMAlEtCNqsBM7Jpi1WgVFRVkOgAODmNhgHDKIpDXt1MlqtBOTlZYM3Ykm S/P96tsu/7h1zjt3n33O2WcP3963+hYsmbW4McuyX+hPk9oPSlnWqrZHz7nl LJurp8yL3iz7mV7cnLJsaZ5lt4huU0OW7ahl2a9bsmyn2iHdWba7WbTqP6D3 fxLPZ/VziujH6veZom8ssuwy/f5QfE7S2FyNzRDNNI2doKdfv+eIzyq1r7Rn 2WitP0rPJtF+qSPLurSXHvGoaf6/auyPag/U+6F6DmzLsu6y971N85sGZVmf aCraxwsHeJyzDI1zQbtNa04RzWDRlMTrevXfVvuhztEt2uczr8e6S7T+YJ2t X+ftUHu5ftfhp/fPiL5PPDQ1u7o8IK6sKprrNNCkNVaq/ZLoNor/KPX/rGeR xt9X+zs9C9V/V+0Gvb9PzwHiO0J8jtCzvmRZnST+U7I4a5xlvubdqnc/1LtO 8b9Ov6tqn2rwnp/LfNahQT9KtI/mPi/yYvynopnBHI0X1Sz7jPoF999puT8i Xk/r9+yKzq156+tZdob2ulfvblG7ueR7gnZdyfe1vcH7Zv+bM79j/AeZdYdx 9Ge4dGps2XpzT8ln/mjeiKBpUTtGT6nR9PS7MvMbHWs9XLJMONMYnWO0njGi mVpy/yTRTNf7GWXLZKP2PVLj51esm8PK1s/DNDZMzzT1T9D48LJ58H540KyQ fmbSgS26338Kns1Ntp2D8oFX2e3JPK6WDh+em2+fxtdKdoXo7tD7XPMvEnGl Zv1AT76u9qvon2iuSb5L7rRL7en6vUfj31Q7oWSerHGqdPsQ9Y9rcNsX/V3J dvVM8m/2Vsu8X/b9C639YMl99r8z2VZ/oPb9wbJt8f2r2s2sp/HHk3n0xRl/ p7Ncrvn/BX+1T2r8UN3RiG7b8Z06+/8k6+hv1A7SOp16XsCmtF6X+j/JbGuM Y2+rRTtE/R9n1i/6L5Usb+i/jw8RzXu5bez96OvaB/xQd9j+jZpTqH+bxhs0 XkP3NN5c9j5ezTyP+e3a81yddZLaeaJ5XH7jIP1+vdF23Va2bX+g/uCybeuJ JvfxD/iAWtjR0PAr9F8seS3Oe3ph+10lffub6E+NtV7R+v+Z21ei9/iB+xos z4nIUnPHlayjZ2j857nnbM3sY1+JuV8U/5fVnyD7vVD9DXq/YohlhqyR2xrR 7xHNL0V/vmhexEaqlif+Hr//gvrP55bbTSXT3BnyZBw/gw6g6+jSdLX/ntsv 5Y3WM8xjlvjv0vgnqn6/K2iQR3PcNfvZ3+i9YtMtYddthWXWJ/3J1f+R+ger v0P6djx6VrcOTw+9xfZX5vZvyBXdO4m1NHcZNi4/3ac7vUTvTtGzIuwLO0Pf btbzuui/GX1kNVrvt+a+d+wDO8FedubWc+7lkG7Hr29pb/+otbajk1XHk21B syN3H387/ACvAX/GtgfNBYXvZaHa9sK6f4h4Vgqf6wwp+rSy9Zm7mFlYN66s eC9Phd39RPq5tsl76tXv1pAnvpX+ZzV+QYvlfGyDYwG6ja/fnfue4DPgW8r2 V/hz/M+L6g8p7Gt/qjMeXziOTC0cD7EhXcvA2ZApZ+jQu2uJ6R2OncSjrVKa NyT3szX+WrJtrw75E0egZ40b9G6l+A6vfex/8eecY2yca6LGDy97v99K1hP0 5V+S9Qc9Wp0ss0yy+g/x/k7oHPJG/9C9NVL8XL8favH77xKDNZ6S+/Vk2tti LvH2O0GDz24MX/SNkm2Gccaawq6+F3OfyNyuif6NQc/+aG+Mud3a6y+1l001 29utMY79QXNbxFDwD7EVX3WD+m+Itqy9rlI/V/ugeMxX/5LM/pE9YeP47Cv0 rMrsa76u/hb1N0R/PZhB7Tw9V2rsXV3sBvSq2++vDxowyczAJUfl/o2Nzwy8 Aq5bKt07K/o/q7u/t25dPaVkfYXfquDJmnNjzyu12VbxvV3n6JFM3lbbqzs9 OdaF5/zYJ/TgFOQCVgE/3BLyIWbii9EJMNfi8J9/Se6fK918u2y/vEK6/U6y 3I/qsOyJX+hJv9ov5pYV552U29aGlRwfx2bGbouC/3vJvnZmh/EPuJc9gv/A gaPVvql1f69171f/f5P3O7Td/p5YfFxmmffHupfm7nNXl+fmCaYCO12VGy+B da/MHQfhcUzw2Z6856sly/9LPsts7e0OyfVk+GbG4GCGOZlt9Czo1f9c2b/B 5eCpsYGpdif721HdnvfZmPtqxL/X1P5zsn2Ai7+WbBPL1H8omc8l2s+b6n8b XdPZH1N/pvpXVa1HR4Wcv5+Mv5ZVnYvMIa5IvkfnpkH32AtnwP8/lXz2L4t/ s9pxuWPpW8l6X6rYF4Ir8YfbJIdL9X4ZKYze/bd+P1pzDD0msEpqcx888kPi EHG5sB8dF74UDHps2biD+AjNZI1P1tiUsv0UOkkfGV2dO6fi7poK3+OCDucC 94evSGBjjR+Mj+v0HR+pcyyXvC7VOp01+9LJwX9BxTGgp8e6BlZ4NvRzQ/Ac mcx/hNpXc4+Td8zpdO50Tqf3B0/uEYw2KfDMVp39GL07ufC+RsbeenT2o8vG Suj1qNxxh/MRi7HN+5Ix9vyKbYdYw33THh595o2IuTvrxuJP1a2PJ4rmhszx kLiIDqAP0yI+gsWODQwGRjs6cBo+jLnoMLgB/AB2Qq/R7494fy5o9rWY5rnw t0tj//hQ8A8YGHkhU+wdLPZA6WNstjHkuaXk2MZc8hX6xLgm3dk8MTmgZpwL 3iVu/ptw2y7J/3a1p+u5Sf39OvvLZd/h9zT2ldyYhHPAb1Pwhwd6gA5wZ/SJ rdjWZcQ29X8efB7Xuq+WHdsruuubC2OpCZFT0wdToad7gif+hrXwOd/VPnZq b2vULlZAXqA7X9Jl2YCvwIf4v/tC3w4T37vV/1Tku+vDP5Pn4b/Qf/zWXSX7 LvK7dbEWv+mz1+Xa68Fa99oej90VNJzv8ohr95bME5/J+7uD5gvyU7/VPmer PU982sRngdpzJN990t0zk+etj7mfEd2bop+qdpls7Xzd192ieavsGHaoxr+i 8YUaL9V8bs6Pj3u31TGZuIZOkieQg7BH9vrtwGBgTXDmM+3GIvfqHrrFYAh3 CO4JmiMy5yjkAfjzLq23WOuuaDc+ImaAkXhPHxrktLzVuBffTEzFP7Mv9ndH 2B12CN6jHR79+2Wf/aKbVTO/ccH/Yq05omSc/4DkdgR+Su3w3HOJC/DeH/wZ OyJ4zs39bgBjlF2TIV86T7Kc1+qciNyKuxjIs9q953sK+1Pkhx8+sm5f+7rm ruz2+NkKMnfV7c/PrhiTVgKXgjGIo/j9TRoYr/4jalcXtqOxyfvm/MTxO5Nr DbUe54bTWi17MC93xtqca1ic94Z2y32V5l2IfFrtf6kZDIsaArgVnmDXek/Q 9PgOR5a8T+IwOkAs3qt2j56N4vPjuvEJOOX4BtdhUmAFbOilsvNf7AQbIXcF FyL/K6r2xWCNZRXHy23J8oYnMm+oOQZeJX5dg11TGKK2HLGGmEM9qAjZE0vH h06QX+Cn0VdiMzF6RzLWJScFM3PP8GF/8yquidwrmlmRBxOv8YHkAvisOR3G Ov+fjAOICY+A66UXS3TOW5tsE6PCLha1WI7IcGm38dFV3ZbVohjHj+4NeX4g ub+k/gSt8/nCeSX5JbEEmYOxaV+KPn4BnfyU5PNi1bncYe2Oc+jpc4GRTow4 MqPDur4vOS4Rn+BNLs5c8iRqk+e1WEeXlu0vlydjC94TC6i1kG+TV+PH1oVv /LDHPAFWE5N9Nf57Vq/rKct19pVl6/JQ3eOKmvHNy+2WHTJkKfIr8qxhNes3 ffT48XZj/z3JMSoPjAQWBy+in48Fzbhu2yjv8C3oPPEaPcDP7G3xfayrub9W 7eaaz0e+C+3UsLsZUZdCnmAQZIMd97Y5JyKOUxcmPr+ejBfxowu1h8Xi+TC4 TGO/afZ5wXKn1bznre3Ow6eEzjxRc4x/rGbcQT6JntGSU4Jneiu+32vE/8ma bYuYSe1tQvg08jDwAdj+0yXPZy7YAv7E2gN1znfQw4r9HbYKPllUc562O3z/ QyFbWs4C9p4Ye6ZWAPaeGn6YfPrtkNUbzeZDHgTvd4L/e5Gfkv8NqXiPDdR3 24xv8aXw2Bd8JtVtY5PVnt5rvHtar2u++Jx76sZ43Ad3AbbqiT608IUn+Asc zB626Yy/Ev/tNWPnFDSn9nru53utYweVrGd3hw/Hl4OD3mpzTCgXxjfUnuH3 iTbbE/4WX4tfxQ+BlYcEZi6iPy3qFdQtpgUNd4RfR+fRfbAi63DfnVEnpE5V Kox/qL/Cj7nTokaH3+B+aPkNzr+m7La/0/UK9jaAYwcZr6EXYOcppY/v9pjQ yQcCM4Ihqe0cF/fO+2ODZlOyjm2uG5tNjjyCHGRUYIntddNvq/vOuLvWWuRB Jds4ORg45drksfGhV8QN7PaOyJGImfuTMSL6P1jy+FuP68PUieF9fvgT4jS+ 4Dr8a3Ju/lrddoyvwx8fMsgxFd//YbfvB7yzpW77eVTt0nbTDtKe/6Hmut6P 6s7XqGFx1y0182xW+1DdOOnh8OHfGGQ/zznwPeAN8nDw6EWF4yPnAw+T55Pv n1N43oOypd2Nrp+S9/8q2V8uijP2Rx1xNvqfjO8nJccx9kksw2dRFyPvBT9i n/iiUVEbp0ZOzWBY+JxP111r7up2Dvpm0D9fd73jhbq/FRAHiBPkmtw3c8BZ OyLWl2vGZ19t93cpMOcVHZ7HfDBbe808iDngjksjPtL2R58aDL6dMzLv4piL 3fUEjgXzXhDj4MGF0Wfswrij8cl6T64wJhlrgbnQWeI8OUpRuO5aV1tJrqN1 kCMm4/jhyTnPs5G7fKHX5+L7G/UjakwzAhsP4MgG13uXNbvmC/6Fhjsb8MFN 9ksXddjWlhT2JcRlzjY0uWZ3YHJtixye2sJHtT90gvNDix+j9kZcQ9eoVxFr iIUXR12X+i4x8sqIq9g0dVZ8BDkTewarP5kcC8l3qSGRN6Gvg8K+qaksjRov Z8G/wOP6sr8hIOc/RV0Yv3KK1j0j8kfySPSWfIC5yHt11KLJi28Ke+mPWsn1 yd8qOP+Z4rMici5yL+iwD3LwcwvXJWcXPgd3wFl+Hd99+P5zVzKOWZucs2Of YCrO0Rf7wc/je/G31HWwQ+iosyJzZA9+xp+CN4kvtaixkM8R78n7nm40HsCu qekSQ4mlrEvtlPrAmMDhxJipgd/BHsQfcC8xiLg5gDvQ4aprx/2F/Rh+CRs5 suq6yeLCZ7gkfMIFHa7pNBf2i9gofoP18TPUcrFV9so+V9XcH695E6v+xrOo sB8HqzH3qLr7tarrpshtbdQzuD/ughoZY9gCtfzpoWfr4psj3x7BOYdFzfzi ir+VPph8Zs6On8Av45+xozWhg+Tv5KVglHvkq8+rON/bkIwvkd+W+C5JbCS2 sq+NoSefrPobw2ni8WzUzaifndLrWkarxkdW/f1pDrE6vjny7ZEaDPgE3SaW kssQT/F5T4cfx7b6Q/5/SMY54B1qpeR9xAC+55DvI9ej6+5TA5hTMS48Qes2 1qwXYBBwx77AHmBSsD4YCd1E/zkb+vpE/J8AsRc+xOhDw29MDow0OGpi+EZw NH7y3Pg/B/7fgXr8b0OHzypc334OrJWML/l/B/BaQ2A2cFRX1CHBxWB+9kB9 DuzCb+pnYBVkxVnRH86O7Nkbtk19gfh7WdkYGtvZ3+76B3GfGsj8DteaSf5+ H7Ub/mehXvX3rRMLnwkd6o68aVfIZ1HEfHSY70jkL9S+UtXf0qZr7t8B7nUT wQ== "]], PolygonBox[CompressedData[" 1:eJwtl3mU1MURx3t32YOZnZmFZWdnfhOUBUSuyC3gEQ+iJkRAQO77EHCBxSin wsKCEYJRMWo076mIB6fIDcsZDKARNSCGxAODL+BDzYtg7hgj+Xzf1z9qpqqr u7q6ftVV364aP2NATX4IIZMXQgP+B5eH8GBhCCPiIZyOQngAKoIfhH5ZIoSN yB2QOzD3dGkIjyKfiIXwJvIK+PmNQ6hifT/GlqJfxNhF+Er0C+HLG4XQn42a MXYP+p8wVoC9DPr74evTITQpCOEA+2WSUC6ET4o9dlcqhBL0KRy+Dv0c/FnL mjasvxV5EXIV9kdjvwU+LMSXf6Kfhn6t5leE8ALyhGLbGI79K5GPMr8U+93g 10FfwmfQj0c/gP2q4Wexfgf2R2NjLfqlyKPgWzHWhvWXNAxhCIdYzfrL2a+K 85zifBn0zdDvxJ8VxHYxgWheaJvrsN+R+RuJxX2s6cf6r5Cnw3+M/j/wb5eF sIW9ZjNWQCxWMYb7oQr5efhxxGRW/NszcN4JyHOR50ANmD8+5bUvscflkc+o s9YxlkRfjX4x/Fb03dFNwkY77O9h7Gb0d6N/JO4zHsOXRowdQ7+EscbwlYzV w1/B+o1Zzlvmtbuhm9D/VnKe90ghR9CHrH8IOQefYL9Xg30uRM4x/wD8PugH yD9m/wr8LSKWD2st//yFTvw/DdOF+SeZ+xT75/A/ENOV7HeMsQnoJ+ccy+PI U+AHZXz2Tczvyvwqvs9RlvXE3ovop+LP1ciHmDNA67HXMt8+9UYuZ78E8lfI 9yNfUua5v4b6I4/E3wv59mkqcjf078H/HpqGfIEYLS90Dp2Hv5GxRszfjr4X /DbyTR/4Lf62wi/Hxzi6J0tCOIKvC5A1RXeqFv6nUAn6OvS70HeJfLam5ONg ztoiYVu6o6XYb57wXT2OHENeHPlu6g4ugW+nO4BuLdQW/gt8nKm7Cv0FfgZr GuD7BuS74M8xNg1+Nz7X4tgT5PiuYBvtWf8h+rHKDfTT0e9lbDDf50bG9sHf S7x7M38I8rvMfRlqD1+jO8/8ltyxt4u4d6xpAd+PPbvq/jPnNvjB0K3IfZCH wD/Ad7wKe72RX8eWgnWY9eWKGesbII/B9rXYy4PfzZxrmXsNVA+fZGxysWOc SLvGqdZ1Rr8F/QT8bRu8Zg/y5qx1nZRTkWueap98Pgu/mbE+7NVV6+GPR64l Y5DfUS0tc64uR04g53GGzejvZiw/52+ob5mHTwvxP0s+fgb/KbQX/1YjLyhx TanFtzQfs03Jt2eucE1SbTrH/N3KJ+aPQT8O/fQmIdxJvubQR9DtzB1KoJ7i fO8w5xts3cZYJbpvmD8fe8/iYw5fe+HjM/BTWJ9p6Dn9mdsV+USJc3wQtgZm bFs5Xcv6H+l+oD8PXYauI3v0KnHNVu2urHTtbcdYFv5A1rnSERN1xHMDcjvk Kdgr5TxdUvb1OPQ/5u9POzaqUfvgtzO/G/Obq8dhP1Np23cw517uwixsVqEv UM8jfn1zzgXlWB/Vv1Lnjs68Kuuepd6lHCpIu8ar1rdlbD36fVnnpnJwEbp1 Weva6E7Bj8Tma9h+g+87Cv4qxo4Sn8e5U93hF1W4951hbKTmN7ZvqjmqPcP4 fi3i7qFNOM+8hL9Fa8bW8D22RY5VF+Tt8GOT1rVSD1Avx9429FOR/4F8p3qQ 6jf0cuQcVi6r51eje5zD1zO/BvnfkXuseq3WvBI5popte+QNyBNZ8924e+hM /J2QtK4dtB79ZQmf7Sw0ivMNT9mXaujv6C9Aa7A/STZUPyL32qHIp+CPYa8v /LPEfyDxf4ixd0tc838W2aZsHyJmT+P7JuQOMd9Z3d1RKZ9FPfZfzF+Pve+r 9kKHkOch94TvDtUjn4PWsnYs8qfwzTnv95CvQT4QGSMJK8mHi+TWioRrlWzs UX1Leu7V0H7VWvQvsn6p6jHyDO7g+CLblO0TWdfCOYwtR9eaM9YV+47orixk /Yxi50zPrHuWetdF5g/I2Gf53gOam/Q31bcVZpuCvDXrWqQ7sQ2+LG3sVY3N RvBLI2M97bkMvqdyKuYerV5dm3Btng6Vp32HdJcmQg2R5yd8N1VD48htWL86 5pxT7h3C141FxpjCmurh6uVHGOuWdU1SbVJMauBXYq8af/qT/zdhbzw2GhYa cwh76E7pbgkDjku6RqlWnVb/SBoDCQvNgyamHFPFVjVTtTOV9tmnQQvY6wL0 GPu9yn5L0b2Z9d5fk89vZZ2jylVhyhHY+yDrWq4ep16nmCg2+kb6Vksq3ZuV Y8q1BRX+Vh+jr0B+jLPPLTJmFna+InJvfZ14nUR3Bnl03Dmj3Pkg8l2Yh/wl 649Ezl3F6DD836Cfx9xD/gr/SOReL4zzMHwKehB5DfKjxH9n5FqhHrUD/mDk XFWP/pXwFPG7B/kgbDP23x05t4SRhJWEuYS9fgl9B/7zyHdFNe6zyJhH2OcP UFe+VxHxGVfsmqvaq2+kbyUM3IH5syuM1U8wtkq9O2HscIoYXYduZ9qxOcPY Lvj6hGuBMJCwUGHabwPtUQzfNLJvwiTCJs9Fxs6qoaqlf4yMbfTNP9JbgG/Y N2ZMImyiGCvWm7BXg71P9CaKuUadhX8tYZ0wmrDac2n7vkwYgPOdTBgbfY7/ Q9W/c8a+wtTC1rozujuToPsS7vHq9X8SBmHvlyqN/VTzVPuEOYU91VJnYn8E 8tG4e7Z696Scsa5q1h3wnVPO5b30i6+xNZCxw3FjWmFbYWph6/eZ/16pMbew 934oKjMmETZRziThm+SM/YXpy7U257ulN4reKuky9zLd0R5Zvwn0NlANfkX1 PufeJ5/bM/cGzvtRkTGksORw5D8XGXMKeyrnlHsvILdi/yz0C/gnoEzkGCvW emPprRWPXFv1jWLqN5HXPg+1hK9h//fjxrCThR1YvzX4zlSif6bcvUNvDr09 puecu+qB6oW6M7o78iFSLUD/u7gxv7D/oJyxpzDp7TljEmETYSJho5Kc33pF 2O/E+t9kjV2Vc2/A34J+b9xvghF8nyfZb3+h3xB6S8TSzhVhIGEhnUln0xtQ b8Edad8NvZkrWd+kwrVVb965xGcoY7F8Y8SVrG2cdu0T5hb2FkYQVtAbdkzS PVu9Wz1dvV1vHL11lEOX4s9M9swWGJM2zfnNp7efzpBFP5TmcjDPc4bB/7eR c1EYUFhwdsJYXD7lp31HdFeUA8Pgt6d9F4RRhVX1RtVbVT2pR+QcUC7oG3Rm vx/mnLt6w+otK4wprKka2pv1W9KuvcKswq76BvoWinHnyG8evX2UI1eWueao 9ihHr4evLXMvEIYWlr4h57eb3qTX83MxMnZXzRyb8ptbb2/1wNbw5yNjG+Xc F/B70sbmilEd9v8PJLg7kA== "]]}]}, {RGBColor[0.3307285695473085, 0.5847269006226861, 0.745939050004722], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJw1mXmQVNUVxt8MM8zS3TPDMPO6+zWCgChQuLAMbnEPuEWUHRFcQAOK+xJL lhlEg6XZTJQyxliaMmDQqCAYFBXBiGLUKKJRMaEiSUqTEhRMyoig+X5+J3/0 3Nu3zz33rN85907fGVeMu7w6SZLp+tNN4z36M617khyp+c5ykjyk9antSXKs 5udp/ZI2/w7dSP2WS5NkdFWSzC8kyQ6tf6zPrdq7Vb99XJ8k9+q3s7V/scYp jKJ/rk68RX9Yc5KsF90XPZLko+6mWay9q8V7bW2SbNdvyzV/pNo8ezYkyR8b k2SfaHdr7UnRLNd6Uz5J6kW3Wvvf0pkPxx7O3xEyTM/5+wOinyodxonHORon 1CRJL9GeUmV+K7qZ59Ja87lb85/1TJKn9P0Ojc/UWSbk2VtMktfFc5j0WKP9 jVp/VuvPi/fL4tug73f2tC6XVZJko2Topfm90GVJcrTOnduUJJ3au1V7Zmvv 5J7m/65kmyJb3afzJmhcqL1dOZ8B/V3ae73oN2vtwZC7T2Y5kbdaNslpbZ1o pmk+U59U9ptQ8vrFknlDneVfIpqh4Ys90um/mWVG9unYSLKdq3F7g/njl6fr 7Ou52ntdo32PTT6os4zY4/HU31dpnBD6T9T4aXfHAL7ubE2SWeK3THbop3GY PoO0fobo1ot+jMZd3b0HOYcUTXO16IdIp4I+X4tuhGTuJfkmSr8Py7bPCYq3 wRrHSJb+YYctOnePeK2vM09kWCP6Tn0/SHLOavd5XxZtj11x7kb5s078HxOv CyVzTna4SOOm8PMTWl8o/sfLFs+IX6vk2yaeK8RzlGT6UnxuaLfN1tbZbgO1 vklnHCHbH6T5bvniO8SSaG5udKz21/oy8W4QvxvF/yStrxP/4eL1luje03xX vfcStw2Z99ZrPF283hP/L3v4XGIXH51Z9vzdguNmV+ztFfn1nOb9Ss6dU8Xj Ge3dV23dl0uOhVpfVDQte8jHfMXx2b9g/zP/nehPFZ+9xInk7dL3FaF7JpkO wv/SaZT4HSX+k/X74frekrcMI3T281rfV7Sf8Te+myEZBov/cumYxDoxsFTr 88Rrgejfl46LtHdr4BY5d6rI9+SdNyvDllNrfDZ+61lrXCvIZxdLziaNw8Rr vPZPU/x/3s20x2n/TPm+UfSPiX+Wt17oNy81lk1qD7zT2tuySR/iVrL11nhV nefE5i7pMFuyf6pxoL4P1/pQ8e+o95zYrW9w3H6m3//Tzb+xfrP21Grv9zVm OneA9i2QLLfq+/fAM527ocb8d2jvFTljHNj5hGg68JHG49qNKS+Ivit1br9a dP61iP5unTknNUYdI9ph2vOo7DVUY5c+VaJbCJ+SZT2+5H3YkjpyfPDnnN46 +9Qq+/5OnfOGeJ6h+QDJ+VXE2ByNm7G51u/PGxcv0fmpPldrzxOy+XydWW4w 7oPT4D5YTU6Da+RsIX5/OnGubAmMvafO87M1P1GyNojuhJJjaWbEWKf4L8g5 t0e0uCZdqhi/SGu1ol8ZWLcwMBl53wiZ32kzhg/WvkUFy4zsO6u9d1nUqbdD 5goFWHxOrnJM4OMxgfHED/FK3bgvYnhsd/sE2z5Z9vwpMCwznwXElGR9U/NZ FfucObneGP4Ea0/U+V11xtOagrHwael/S2obfqq1Xcqpn5NH4jlJeo3R2ZM1 /qneOlBnq0vWpaPZ8hL/yNwRdrtLdWRW9A3jiu4p1gf+r4x8nJsaL8ESalZz 1C/qyLXkU6N1RwfqHbj5mnSeoHFhi7EZnCJ+DsgcSwM0bi577xtln39Ko+22 rdo1Hvvjv3XdXbtHlxwv+0n3md1do8n3PrWuU2Ni3ys5x930iufTNF4mHc/S 77fJZuNKjs9fa/2aOvdI5OeQFu+bWjHe3Bt9FPiK/MTVZP32onhO0niH9p7V 6BzZWLb8L2j8i3SbKpptmXGO/CK2H2py/twkO+/WbxeL5jONV6fGqCs0npcz LtCjbdZvZ+j7GxqPLTk+v1VyTcLGE3RWS4PtA56T1xtyzu3TSvZVH9nqrIrX z9TYWHHu9Cu4J6ujn0vcE8ELPmNLXp+tc5qFC3t1VpPGV8vW9xWN09vdV5zb 7lxuanCdpebSY5Gbm7S2QHqdpvW0h/u5Yg/b9vRG2/elsueLFVNF2X+J1ma0 uu4RT+gJtoKxT0nOOU3Ow/1kw+tEv1s02/LGUGrzN3U5s00Kkm2Q1v/dzbj9 Yo19iR+pj/Ss1DLqzIicaXumlrdT9rm+xfn+17xrH/TYgp6Uc8EE6iHxDJ8a zbvlXXfBqmmBV8jOHPlvaHEtHVo0bhBLYAdYWAgbXigdy+L5UMQIcu8MPYbl XIva9dvt0qFN4ykl50fvguOO/CWPV2amX6FxdWYdV2m8rc358qZs/3LZ52/S WJJvJums1ZpfKR6jyFfxfaXovuCq1DlHrSXvfiGa2dXG6gEl9zP0NfNavf6g 9Jjb6vz8A/nR7F5/u2Qo590/UwuxF3YDX77IXAv3ZM5P8rRvwXhD3/yk6A/M XJP21/rnmWvmdPHOa96HGCu4fmIvfPpBg2noo7ZHPOGL6vAXPJemzoOTpEdV 3vVmVfT+nYHz6Ad/7ixro1bDL99unr0z1yFwFXxFH84gD78dtYyaNi36fWQg HtEFbERu+P9NfA7W/lelw7ni15H3PYo+dWTe+EvfRt8FT+Qm3sFK8pf+iLoF rs2Rr8/Xb5dqvEqfCzW/WuNFFd9Pvltxj0BME8/0LL3jzkVO9a9xTRwSNiGe iZFy9O7vRj2lrhJ/xOGWvLH2/CpjI/uqQufDpNcWnXGxzm3JuZaDFT+Wzs2a /0TjM/ocpfnTWfR1Ofd2s3KWB7mwBTYBww6tN7YgM3HSHDbHRsypU2Dnzsh9 8gcdkL/cw9hfKbqnGxh6kY/wp970j/zDDn/PjNH/0Lgzs0yfaJzS7P7jY80f zsyffOIuh0yrwfjoycGKf4pmhuj/lbkfpS5P1vijWvfV1O5rW2xn8GBD6P1A 9OX0aH3Fc2PBve1t4rNMOszR+puZ8Zu+e23YnznxTM4Qb0nF+UmeLtS++wvu +SYV3VPAk5zHDuQgdqYewHelzm1IjQ9zC/ZjQ8QePqyPO9fionuulzKfT7wi DzFbiFiiJ8b++GFKT+t/TsV5WRO5uX+1MXmg6G7PfN5PNd5Q536V9Y7M9h2Z uYenRnCvnCjceV/njdd4ZNl8ugqOJ3AfLKYOgcX0MODSCXnXaXqZC3LuR9CP uole9KdgH7h3WtzjwL+PMtN/GD0OtYG8pi8HR47V+DB3Ev3WmBqbuL8gw8hm 923dSn7/GBvvPMfknAPgLnKgCzXxnYLvAtwJlkTPOCjeWzoibukl4cNvvy3b jq2p8ZD3gu1RY4ixmYqFTZovoR8SzZqCsfnWwNcPgh77UdOxOb4nBkrUh4hJ 7o7UEzCffuwr/CEd9mmsr3Xd7BV6oA893vx2x+ZZJd9buL/UKwZGiO9o2WSe ZNtSNk/qCbag/wNfwDPm1CPwhb3gKvFGrMKXO+CJ+txUbdk7Q/5y+JkYPbzs fuWosvtu6LDnvNCReKcPoB9YkxnDsAk15feZ+dDfPVq2Px7R2EvyD5H8WbyL dAVP3jKQYXHBOEZukReXR49Kr/pag98x8B1vPMQJPcwjwZ9eCf3pscFYaDkD +ok9jSHc0Uel7lPvK/h+AFaCk7xzkOfk+CH1lhP8p+4PrrfO+OqQWKf3OTzu /tQW6Mlb+JydMy/uWMQP9iT298adsa3JfsDP3BeID2JjXt79RSl177YjMJb8 wzfE3+zo68m18al9+HqTP8yXFo0V1dE/dLYb78fH2wbzZ6N2U7e5e9a2+7wD Sq4PI6NeXJ5aD+5VXxWNRWBSe5N9tKDd/jmvxrbnzQj/LdO+SSVj1XDFQrVi 91rZpKriewN9GnXnxqJxY7V8cQS9l2yayo+dqe+TvI2BSeACmPDLOvf/i/4f 7/U+l76A/CF3eLtBz8dS9x3bo7dZl1nOfsrHVWXXtcfLvt+gF/XlstS8eY+Z EO+Zt0jGa9ocV9zh/pzZv+9nfr/Bf2PinQD8PSh8fXj4G99CA5bCg5pCfKIL Z3EP4n2IGAOfO4rWlb64f+q87BKvYfGGxlsadyNymNpGHjOnPtEXY+d9EXt3 xFlPFPyOMC51zNPPICeYz3sWWFHT6nfDlnb3R+eFzNyR6Z25/w4vmn5k0ZhV k3PucIckDjol89ii74jXa21HvMnzNt9UcT2iLpE7YODesBs4jJ7kGrUKO7wg ulGi2agxbXIsdbX7Toj+D+qc/VPb/IDUvS0+BRPOLEVvpb0nl3yP2EsctroO cG+mloG31A7ePDib3Lsps16LNPYQ3zlab0ldo0ZH/8/7L/cF7g3nN9veX0f/ sjT4Ppo6z7iLgFWDQrZy0b4uFn0nSqIPxCdzon6DtWAv2NhXdCNEf2mT+7ER 8eZGXzE/eot8q+vrBZJlQcE8mnX+gSXfGweVjE+V6GmpZ+DSrwq+V9NL0UdR 9/E7/sPW2Jw8JmfInSva/LYLJh1Tcl9FDE4Wv7p4X67XWE79jlBM/WFe0XhI 0e84hxaj14yeBLmRn7cQ8hCs5u13RbyznF6y7ZF/QPSfdzS6B6VXAxN/02SM xk/4qF/EBjGCLV8Oe3IvR076Fv7HsjV6SGKNdzHqFm+4yDBccjW2xv9HWo0H 4DB4jj2Ojp6+LXUM01Pw1sB9HhvSF5Hn5DgYMStwG5wGy7FdPmKLPojehDpH zcqiPs+JvoW3DPqfPfHWz/+jPi7H/yZSxw+5TT5OLBobf9Dk+9PWwHri7srI ryXxvsZZa8ue8058aObaRI2iL6S/4Q3gh03GL7Dw4KLrK/9b4H8sn8W9D2wY HXiCv66JnHouc9+2PvO9hL4H/Pik7P/HfFp2v/4NhtEDZM5T8hU7YXfsgA7o /k3NCrwCt4qZ42FzYO7GuD8SH2AitYb/A9wTPSrYhH+OKbuPxb/06o2ZbZXT +D+KG459 "]], PolygonBox[CompressedData[" 1:eJwtmHlw1dUVx3/Zl7ckhOS9vN9jESIIFETCYqUtghYVLHtCZEeUNQJCQZCQ sNkwTrW1Q6m16mDrgKVOkSUIArJYQCh0CqK0YmVGW1vbYbcdK5v9fPvNH795 59x79nvuOee+dlPmjpyTGQRBm4wgyOY3EgbBGRbagkSBV8eDoFVOEByKBEFV OghOsDYE+KW8IHgzFgQrk0GwPD8IxsBbXxIE7VhLFQTBUmgKoI+wto+9m8iM Ap9JwZNpGSeRVV8WBE0Z5hlZHgR72b+3MAj6QvM28CVoZkB7AHsKseUW9PVE X2++2eCLkTkI+aPhOQn9D1mbzN4juUHweGkQVCOzFbI3sx/HnmQL/EBWd2im Qbsf+d9B/rekD7gV+2OzbcOKKDj+VIBPh+YC+8uKkZ9hHdXYspr9ZcTiHvDb wSvgvxt77gPvBX4KGW+D78WeCvi/5ruBrgXIy8SeDqFj0wEdHYGvwXMZ2v2s 9SgKgtPwvwN+hP08fI3A0wBvMd9z0F/ni+HfbnRcA66QPewt54tBW0MMhsJ/ G/tLkNUndCx0Jjqb8kQQ3Ar8fXxIAf+A/Rx4H8DHFcAnUo7tAmQ0llqmZH8C /Vboq6F5M8M6o+w9TUyHYvsMvjrkL8We+9gPdf7QN0kevnQC3wb8GDIn5/oM dZbF5MMh9q+zXwT8k9C+Sod0jSQ+46Hvw/4I4BuszWO/JTH4HmfdER31eT4T nU2QdmwV88nEcxb6JuVaZy3wj+Evgn878quAd/D9JysIukBfiy9NyPgFsk5B fwf2pMG3IPY5YlIm3/l6w98Z+q3AZeh/HPr5fCuhXQK+CPrP4a9TrLFxB/AG 9FUAN7EWQd9O8AT6MtLOjcPY3DLuO/ZSs/4e6K+BvhZ561h7CHgPMeyPLS8i YzfwYmiuQnuK/Qj808AvKZ/ALyJrajOuHJsOXE8M6/J9Zjq78/hwPtN37jLw AGieB2/Avv7Ab6HjBXQVUhN2Af+sJWvYswkbKqF/EJ/Oomsva4PLfSY6mxvy H/524OfQN0E5xnmMZ+0ce7vh+RP2/R0ZZ9H3MPufh+YRr2SWYN8/Qu+9hv4G dJ8B/zn0Y1j7C/AhvoHAtaz9LnTNUO2YxNrfdH+5A52wrQF5O7B/HTrXAJ9A xzfQ1RjznnJIuVSddu17GZ8PQz8UfH/EMdgJ3gD9YGJzC/pKoZ9ITlXprNDR mlpQF3ctGMjXk1i3pn78gXiMgGZMqXNOuVePzEJkfxTal13oP43scdCMhPYu 5M3kfrSPmVY1QLWgXcJ3+0no2ydcc1V7ldM/QlZ+2meTQOcwYj+RmMcLXDPu B08nfPc7ICNMOMeVa+/zVQL/En1rm+PTFfyvoXvDh/g7GFmfhj7LV+FPQJtO WlZX/G0F/Hti1JazWke8jgJ/mLLsGdC8wlksVo1FVgYyliHrYuhaqxxULq5A 5rw83yndrSehb5PpGvWU6mUL27IWeVeBE6xdAF+Dz0ng8cRvVK7PZALwRHw4 D7yQ/YvYkkUMTmPrb3V+Rf4Eb8TeGvJrND78FN1VrD3DWS5F5v0ZKp6cAXBN me92I0vZ2Poa9JvzfEc3AM+HpxLeCDHoBl7ONxD+LuhMAfdHfz5n8YXqI7Lu RP96aKcg/5/Ifx4bmrJ8x3TXZnOeu3K81otcGgf+LPjr4F3BPwud6+rhhept 5a41OejoB7y82L6oh6mXrYd/ADF9AnwH9vdG/wfY9j5fBvSTybn8HPfMBPH9 qoV708vQfw19EWcyCLgWn1sAb0DePchbxtqhmO+o7upJbJrKXph0btzON5XY bMTGLuxV4N/H8BUnLEtnrLOeljbvZvx7FHgI9u1E3lzWvoL3CXz4d5Zr8Hbw fsTwTK5r7lX4/xU6lqopqi2LWEsDz0RHDF3LsW8jtFew5zbVqyLDl/k6gm+G pzJiHdKlGq9a34u1JuCe0L+T6TO4iW9jwPMK3MNyiN3WlHudZGyBvgp9Twfm qQbeFlqWZg7NHn2SrhU1xK83cCXy/gh+QP0Me7snPWsop7omXeNV65VDd2Nv m9C59Bb2tAXezdcX+V9i/2LsXwmeHfGd093TjKVZSzR7Qvd89X7RrAqdA8oF 3ZE+2DJB8cl0Dv6X/S3YlJflGa4MW+pD3w3FWLGex/6SwHdiPvDuqO/KPvBz Kd9Z3V35eB1/BqCvoMA9TL3sEWSmMj0zvI7sN1LuPWvRuQk4mfRdUg5NgXYs PL+BvhF7xgCfRd+VLOewcnl7yr1ZM09d1Dmn3JOOBcRnZ8x3YRX4KOztC/2R Atf4u4DPYsPYiHWcB59SYls6I+Nh4Jnk6KmIc0q59QX0MyOuSapNB2PupZqB ZyP/XvzdFdjn7wKvTrq3j2etEbgbPpzMdU87CP85vqkRzyCaReIJ57JmrAjw 1dB3Q2f0JfC45v6qmjehzDbK1qPo+yb2X4j5LDQTaDbQjKBZQT5+rPqR8qyl malfyjO3Zm/NSIuIVz40TxV6psmBf67mK85qODxzgBuKDQ9B52dR90T1xl7I aJd0z1DvkIwC9euEZ0XVyDr2HoubVjO/Zv8N7F/LdczWA89KuJfoztcCr2np 3P8U/3oUe8bXrK8ZeHSpa45qj3JiIftvwHM91zP6JuBfxz27auZbgb7RnOfh iN9AeguNIwafFPiM74B/EvehGPyo3iclntHUP1+Efzv2j027Nh+DfgLw+LRh 1XjV+pKEZwfV0Hroq5Rv4B8hszrlGUGzgmaAsaXuwerF6kmvxDyzCFeOKFcS xT5b5eyd8I/SvJnhGbMKeDjftgzf2RHA74bONfX4I8DxMs/emqlvgo9K2Zbj 4N2QPbXEvUwzjGaZ+dj0aK7fPHr7TMe/9yKu0arVqtmq3VqbAVxQ4ljpTaO3 zbOsZUf9RuuFvolp63oBeeNUHxN+a8iHBmx7hv2MqH3oHnpG1qysO3Yl9Jnr 7HVGOqs2qqH5niE0S7ROerbXWlvgV5HXJ+ocGEQ8BmHz+XzPqJpV1ePU67TW HvxwzL1NM+cczUuhZyvZJNt6JF27NXNUAn+73L1Xd/YhZB9PetZVTTwGPDLh XNEbeiO+lIZ+W+yBP4K/H8Rcy/4/g0PbM/RbIbs5dn9mf0+e77hm6WP4PLzQ M+1A6PNL/HbUzKfZTzFVbNXjM8s9Y+5q5letuJTybKQepV6lN73e9tOlH/hS zL1I9UJvC91p3W3pPA7veynTauY7BfwrbOwd9Z0dWO4ZVrPsA9AfYj9W5rex 7pDuknyW7+qh6qWdy92LdSc6Aa9PujZrxtCssSrpWV8zjGaZYXwH9D5G/8K4 /wPQfwHK0XmlfsPqLas3z/q430x6O4lnOLxHUp5VdedrwA+mbKvenNNL/QbQ W+BB1t4FnoU/LXP8BluODV2KPTvqTIaxf2vCs7neHBWaN0LPupohNUuejHpW 1X8M+q9BNst2vTGGoL8xal3SIV3q4erl+s9in2bxmN9aymHlcuuY/wtQzBX7 JXH/t6GavBf6/wFtJ0zp "]]}]}, {RGBColor[0.4142982293457872, 0.6545514728984253, 0.7847375116612632], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJw1mHmQVNUVxt+Mw0z3THfP9ND9XnePwyKIG8gS2XdjClATZJsZZBFTQVkV ENAwLI5hTUxVyliWUSsBDCgDgkklYmW1VKIV0SSlBVjBJcY/kmhZ2VQENfl+ fpc/us5995137lm/c273/frtM2+rjqLor1VRdIFobSmKTqaiqEb0aDmKxtRH 0ZZMFA0pRtFa8fwsG0WFHlH0QzFPFf+SvN5LwMu5KDqu736j9X3i66zzt0P1 /HyNZKej6B9a/7Yhiubq+UF9v048o8Rzpfbn9Yyi70nuwpYoyvXw+1GSf0hy V+j91TqnXt9u1Rl3Sv5+8RwSz0PiKTRG0b16vkA6Hwz8WxPzTtE3K/X8YsXr F0S/pHfjtdcp3kd1Xl669ZZdN0nOWe1nZWur5C3W+qv6PSd9M+L5SOvrdcZh nf+Z5NxSazmTpEO/2Db3Fz0hWi/+D/XuIvH/Qt//T/J7Sv4h7Z0oRFGH9kbL 9iF6zuusa0WHV/uMBn3brTO6xXNUNhzQ3rlq6/lElf38sn7369yHJeO1Op/V LfqA9ru0niG+VtEB4jneFEV9Jesl0ffQSet9en9Aun6s574VxwaeJ8V/Rn69 RnLGaW+QfDVZ6zXy1d9l7+p664M92PVJ3vnwSto5sa7WfuuQnGLFZ7WId6B8 ulxn7tG6VXo8JN7FzVH0ftkyf6kcm1C2nPGildj50SKalpxekhNnHYeGEIui nvdin769p8Z5SI6Sg8eDf8hL9nfL51nF/0Ht3y2eM7LrEdHPJaOP9J/cYJ0z 0vPXsmGS4navvr1Z/G3i/UQy+uuMQ/rmYJX99ivxPxZblz7S8ZWUzyX/T1Zb Z84Y3GidnpXdqxqcT2eq7edxIX9WSb9ZWn9HZy6udQ7jr4sT18ft2t+Xd/6Q R5zHuT/W+XPEP1Xndoh/eq1zq3e1a6u9xt/PLdjn+P4SyRysvVWSWSc7j2gd S+bMKu+TM8/UOFfw742Jc31twTUHPlB3P9D7+8W3M9Q7tT5L63+Xvb9X+g7U t5PEPzixXuQ755C/5A8xIv/w5+OyZWxiOzY02WfUAP68LPG3q6XzRRXHozt2 TH5U77odHPIe/a9rMdZc3+I8wgc3hHgTk1bZPSxxng8VnSg6IWUbqMsNdT6v X8XyX1WOjUzs543S4bTe7653XU4pOZ4L5cOf1jnPyLFna1yf1OZE8RzQXkPO vq1N278TSl6PFx1I/cu/08XX3uiaHKX9uVq/Dy4oN+8WTnYrX5fKru0B43Yk zsuzISffkA6NafuIXJohHb6m/XMV59+nohfKd+vF1xrbDjAaW5rTxplzwR7s SqlOe+ubh8TXS3SC9g9Lh609nacX1DhXn1LcR4pnY8a6onNB/FHaa7DlGw1+ Zk2dIbNb6zmy4TPZvqXJ+rJGZ+wgxtjyT/nuAdFvSucx4p8m20eJHoz9nryY K5lT6t07xocao766JPdm6TiXmJeMz18uWfeOevcI/PqW6O/1WyC+xZK/SHRf wPT9ordJh0HgW8H1Q871ju2Pd6ttC7lMPIgFtU6dghnUD3W0TnSlvr0C3JD8 JbGxe2nsvkt9pUQXSK+DdcbzM6EPIQcsIJ97xa4zMIEaJJ4jUs6jLp2xWmdt TJwP+Ifecara+UddX110nr4Altc6X7GhRvtP6blPybgJfh7XmSMUu6GSP0zf Li66Lj/I2h/sk7ebU+YHS+lF4DL6Xyg9Bum5JXH8q9LuQSNLXrcpp14tuObB y+XhvKMV1zy1eLHsXZxzX6skxjZk8nxLzpiXCHOWSM4C6b+04J5GzpFvnc3G +l3iXdRsnHhTuTpd7/fIR1v1/biy5487xLM+5548S2cdK7tPL212r6bnMf/8 LWWf4s8T5/uw7JpUMZ68k3E+IpOcfLtiXnrXgJLz7fpG+x3/gxFTG90/+ur9 PJ37E+Xw0CZjEzLB2LqKY0SswHV0Q9c30pYJPjNnTQyY1tFovBlXcn/GD8SI ns2sw5zzp7LXd8nGP0v28nrX25t54/DH8udu2ZgOMxW4zmyAXati++902biO /mD7FdL7RWa+FvfeTMBG8CAKOYDvme2Y65j7JgWZ9EZqnPqta3Y9ncgYm8Ar 5rBRAQfGJbYb+6nf/YnPe0x0jnQ6rf3Z5cBb7R5zNmM7JxTtY+qfb89p/y3t X6P9S0reB3fh+W/KNQ79MKyZRZFPb2QPLGCf+OGHafL9mEbLbi9bT74hRoNK 5gdTj2n/9bT78XsZY9PvFOcrZcNs6btDOfOHsuua+u5dsv9SytMNGff+du1v LzjGfxTv2LJ9eqHicKn4/yP9LhPtp98HWvcvObew7fuy8WHJOJU2nhA39Pm2 9Kxvdn9hRp5eNs/lTc59aoCeis9W1nsuYP6mNzC/75Q+6/Vul2iPZseenpYq Ou9naP1Ryj7FR805x7azaJ8w26MD2E6uk+ftPb3P7J/JueZuF/+jsefhvaKH xN9Z7zzM5Yydq8UztNGz2rnQP9Mh95iB8P0M2Xem4O8/oS+VLedT0aacsf0O ydnb4lm0NWtd0Zn7QXXJdxnuNLMTYxGYNL9ov57K2lZ8jr0dZedtm+jh2Hh9 BP1jzxmzlAMns/4WGWdCP6EeqAPmhMPBNvazOeMQfugOMwe4clfROYpu2Emv pc/e3WR7sKtRvOuK7hX5nHvv2dDP3s47Z3vIvh5Fxz5V8fxJL6MvEJNHah0v +hL5hN7UNHlIHg+ITbdnneMrw6z7UrinjKXvZNz/XpdPdmaMAf3z7un0UHo5 eAYGgqf99G6Rvl0jP8+rsT7U+O6sZXP/KBY9A/ZPPGfRt+hZU1KeE8YHecil rtLhvol+5aLn1ksT1+F5O+i5A8NsyV2BeYvzVod5nrke7OTORL9szVu/hQXf i7gfvV8x9hMz4sSd7+k6fwMWg8krCsZOMA2c5W6B/8/XHTUHrn4Ueii9FOwh h8n/a0ue7a4TvTxxH6FHLS+4BywT3ZZxT5uYd+1iCzMYNcqsBqZ9cYevdb6B xeRgutkywCW+p9a5B9JfwCHW9Bf6Nb2aGZ3eRF/Cj/TtmWFuT4phhk9cD9TF ItXZiKJr9CrRYeG/CP6T4C5Nnv1LvDPLxqsbRIcETKN/cm/Fl9uqPFtRA+R/ r5Kxq1Jyv6dH3ypbppU8A/PfAP2e3jqv4HmQmJJ71OW5MFN9XrFPckXnO/qQ /wtSnhOYF75SMlaAGTe1uI6op0FN1mcWd9+M57C05Nwa5ivmrOGJc3SEaKd4 Rqgufi7+qpLxcbhwq6xcXCudSrHzkTU5eU/WOV6MfX8mb97hXh77jtM39mzF mrmiK/D30lnbst5rkQ69E894raIv6fckd13Rmqz92150L2Ve2FTlWhwffNWo d8/oXZPot7KOL3EGJx4OWLE16xygzpjPmE82JZ6Lu4JMcAt7j4S5mRpfkXPM jwWfr4itA3cFziQuzH5gKDF7Qu83xa6vjaIzEsdppuiI0IPxKz5eG2o7zjs3 mRnvbPK5zO/4Y1DAPbCV2p2sbztizzTtsed08h6be0nOfK13ZZ1H+Aj/UG/U zX0Z1zfzKDV+VWIesA07qD1sIZbTQ6yoy3cDblRCPv9Ftm6TfvOQJRnLY98j lnFvKvm/uNEln4Ge1NVrWdfHbNnRmbhed0pG38R4BW4xN7HuCHMaNUz94gPs wg9bEtf7joJnAe4nYBOzxjMBs7ijgL/4Fj9QV+AMcea+QG3flNg33NuYQ4/W Oa4L+S9C/N8N8z7/KZA3yLglyNmTWM6yvPHvZMDJdU3GH+4QnM9dFd3pgejB t/Rq6pV4QHlm3iDm9Dlsxy/4Z3NindAN332B5aF3gIVgInw3hv9e+A+G2OOr fon/c+K+BE5+cW9K2XZmaGIzUrFYULDf54t2JeZ5XOe31VoffN4ZW4cNom2x Z/Q5se9hm4NM5r794X47PcxbV5ScI3ODjfifPKHW1sT+L2N17FpnTRzpibtD zrQVHAPuXryDhx7EfRqelSEv2oKe+3LuB8yn9HJ6+mjZNLboM5/LBj/Vev4H s58Ovr214Hg8L9/8H4/c3Eo= "]], PolygonBox[CompressedData[" 1:eJwtl3lwldUZxg83Ibk3uUtCb77v5oYkbIKCUUANOxZKBZeaAtkQA9gBEYIi VGBIoKAFpNXOdCjjWOy0QFkkoKLTSsdujtjqtEhbyxSYuk//6EKd6SKySKe/ Zx7+ODPvOefdz7udwV9ZOeehRAjhn6xS1uP5ENaUhbCWtR34QBTCn8pD6OsX wvqaEDKsSxD8oCKEocUQvpYOYQJwJ8TF6hCWsjrhswmcB4CvK4Twn2QI77Mf Drw5hob9tMoQDmbBg34i9L3IGIqs2bUhvADu2VQIc4BfqwrhF+x3wjOTCeE0 Oj2Dbt9jnQHug+Yi90fQrwp+b0EzG35LuP8q9+s4y/cPoQuZs5E9hNUMvBZ5 A6HdiPzx4K9hX2T/e+iXwK8emj8AP8fZO9w9B/812L4B/HHgny8J4UPgJD44 A34D9qeAr7CeB/eXyP+f7tB5O/sz2NMCvz+m7bth4Ddw9wL8373Kvwf+nejc lLCMl8FvQN8W7sagcyPw29A/w91r0PcbEMJIfPpf7s6zWnL4FpwvJfyGm4A/ z/3PgQ/B41bgLZ9DP2z7BPy7wU8h8xXu/wJNEvgiNEfkX/AvAN9Vhy281dPY Owl9WtG3gv0edO4EHgTPl8HfD34jcAnrSfj/Cn7N8L9ROiCrlfsbgFdB8xK0 Rzn7bewYUCwMgqYXezbz3ldK/IZ6S/lIvsrhv1kFx5hirQWZPfjiLDyOwauP s/e4i+B/fcI+ewzaWs46Sv3GeusdrFnE0irofwf/Kdi8EdzD6NQN7fLIcBf4 u8H9qOi3PQ3PWdjTHx12QX8amWXAdfCfV2of3Ymv3kDmZvil2T8B7Ur4ZSpt 82rgKuS9iuyjyjfsXY+9F7B3JvxuwZaPod8B/SHkbQN/B+/VB+4u9GmE3yhw bk1apmS3w28r+Mfg3wt+Hfu57KeCMxLcDmz8DbzexX+dwBvA+Um5fSbftV6l 19lG7n6E/EfYb+L+Ue5fh+YO6Kv1psDDsPnjpGO+f41zULmoN+9A1w/R8a/c 70XnD4A/SlsX6Szdr0HG6IR13IqsjbHfXjm3n1h4NmvZqhGqFcox5ZpyVrnb ULQvFNNp5K9W/CQdY9dz3wj/G+E1B/5b4N/A/gb2s9l/nX19wbEtHRuAx8Fj C/frOGsGvivnWtWHTiO474ns225kvogui3mz8cEym5B3irPdFa4RR8Bdxuor d0xNgt8eZHYDPwjP27j7cq1r25vExCjevpX9O+wPIG88sueyP1LiszbgWDTQ PwLP2sgxo9g5J/8DV2ddO1QDD0eu0arVldB/Ef0LkWmbVWPRNVvj2qQYzAEP ivwWPeAMAV4Bv1Hwmk98Dca+x1lbks555f7gyLiq+ar9I9iPSbiGH0Pfjrxz s5GzduDb0CGNLsfhl0DfacTs3eh/PzwXwPso9JcTrpkDkF2fse6iEe2drAEp 4wh3Rd61+fv4qBt4Q+xcVs3rBb4951x9BXlDoB3D2Yykc0y51sPqRNYszsZx txd9doL7IPq/hD25rHvJp/A4hLwNWeO2IWMh8hrRrzplne6A/7ORcQ9DkwV3 H/vzCb9Bmn0Km38W3DMrgHcioxNZJcj8B/CCvH09mfuuvHuA3lMybof/Ms66 ylyztoJ/E/ePJpyjY4Gno/+KhH0q364GfxH85nK2Cng5Z4+xfwob9qmXsOar 1nC/NmubZFs7axHwnNi9Ujm/lP0TWfNSTW7j7l+Kz4R99m/gffD/ZvDZfuDm 2LVsCvubgONqx8JwcCLgyXqjpN9gEnA7676kc2Q3vl3Efgn7+9gvBP5xrWNX NV21/SBnTyddU1Vbz1EPhsiX3Hfy9u+lLatePZC3/lbWsSaeXbFrsmqzcv5h 6Dsi97IWzt7m7tdFv418ehjaE7F71XfZbwL3A/iPDc6RdfCvj92bm6HvBv9Y 0bBwhKucVm5rBrqW91yMT+eV+Q22gp8suJdo5ikHThIjFxKOmXLgm2tcm3aj Yzvyl3KWhd9MfHIc32zLuLcqB5WL18aufaqx1wEPj137VBNHAPdm/TaKkZvZ D4tdX1Qjr4nNU7ylo3RdQE/7dn/XpCbsnaB+HvyGE4HrI89S4lGDrs3YEIjd xfigLecZQ7OGZhTNKvfmHevKybHQz4v91vcj7x7gz/Dfw5X2wcyCZzjNcoqR JxWLsWNXOdEq23KeXTTTNIF/S86zh3ROFNxD1UtXYdM5bPs071lBM+V54IvV rhVvwX80tHvBP1XuGUuz1sqr9VRnP+TueMa1/SnoV7D/adq8/4Y+pdxNQuZg +P2d+46cc065p57wAPijCp7V1JMn5ixTsk+wLoF7IuvZWTm7R/u0e6lmrHJ8 U8dZU9IzjWabeXXuJcpB5eLIKs+ampE1KytmFbuaQU8rv+o8C2iGWQg8A/ve L/PMMh14KuvPZbZRs9HAKs9+irnJ+K+E+Hu91D1Pva8YO9ek00DNGzX2hWYK zSbrI/tK+1MZx4RiQz46UeWeoN6gN7+Mffmie5tyugb4bK1nMdU81b6hyLi3 1DPyQ/gqk3XtVc09iKwJmkFT1lG6ji/4LXQ2EXhY5L+Gep563zfy/uvoz6K/ y2X4n0x6BluKvDV5x6Zifjv2zs97FtqFT+4BfgMdZ1a6R26DdlrBs/YnyJxe cM9X7xfOm0XPsJplNfM/z92SAealmUKzhWqQapFq3IHYM75mfc3oJ/XfyHrW 7gePcQX/ifQ36sVHVzTPsk6m/OfR30c9Tb1Nb3wZuC7yX0f5qtlCNV+1Xz5t wP4UNK+WesYbWvDMo9lHMXEJeHnevVcyptZejdmkfTaGt/0CNBUp/xn3w/+z WuumP8UFaL/DjPhiiWdazbbtOduimqHasazOs5dwRhMfUzgrS1kn6SafyreS MQN4csG1XzhTgdsi10r1WPXa/wOHp9mN "]]}]}, {RGBColor[0.501126548120177, 0.7107829061982917, 0.8073071489615041], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJw1mHtwVdUVxjchJCdpcpMbcs+5NwHsi2JBqRYCQkAEHXRKByMvBQOCr2CH Cq01AgbpALECU1FrndEWOmA6VYFSaXVKawfFjlYIOu0QCDhFsTOtQvtHOxah D+zv67f9I7PXWXvvtdfzW+vmM7cun3V3WQjhjgEhDGQtrwqhjL8evt8qhTC3 OoTHakK4pTGEKznYlQvh4cEhvDAohC2s47MQznNxdX0Ipzg3BhldrFPKzJ/K 95baEDZXhjAznpUc8YflTS9GdnsaQl9FCC2FENpYr4I/Hx22QW/hree4d/hT IewqD2E3dEVTCL9gr4zzBf5egx6KjBz69fPWM9Dz0W8jMo7rff7Wwx8J/z3e /QHvr2X/OLyt2Lib72cHWbb2Jtb5e1QxhMexZyG8udx9m/PbOP9TvpeX2z+3 oet65N/H3jDObIBeCX0R9B3YtgDd7mStR+c/6SzvvliynTfBfwj5HdD3Qq/h zp+h52DTz+B38s598Lrq7ZM1OftIvloAfwo+uYDOc9nbzJll2PtkA/Fqtr8W sx5Bzh7kDIS/F/p+6B344Aw6rED/06zPo+8S6GXsrUpsm+zqxpYu9obz1lO8 2Vnt+93IWcT3Xej8j5L5f2etxMb10L3sDy03fRQ5F9jrgv5tjeMp+nX4T1ZY h+5gHywpty1XoMOvqh3XidC/1nnokcTjFPsziU8V9An2qlnfqTJfsbuOtYE3 roWuZO84ZxLWe/HbR8jYjS0roP8J/RT0N6HPQm+DPoK9L2LvqtQ+aEbOjDLb sJ/v7cjsRZePkfm+CqfBazUyKguOr+K8r8L0TsWvwXI6WV9pcswONDlPD8bc WxnjPrvgOCleE9D5bN5vblatFa1DQg4MaLDsPyh3uNsvP3H3BDIPxfzUHd1t xKY++G/A36XYUYfr0H8Ta03Oez3IGIOOw/i7E70r4P8e/o9S6yhd5a9JxLEX Xw8h16Zz7hD0GNmc89vPpa4zxW4sb41Dp6PcG1/w2d54fhLvv8SZ31UYb+RT +XF1Yh2Ue6vQ/1Hy+W+1jq3qUfE9n9iWD7m7hjM9yqfBjrNyS3m1r9z8/WWu c93L1Tpuh6udB6L1rnwtfPoN9Hjoc/jlEHvnM+fVu9KvzP6Vnyexrmf/G+Wu t50VzmPl8IYa511r3nmo2pe95xqty3/w3+Pc3QD/Hu62V5vu4E4nZ5ZCb0TG phpj5AjkPBJlTob+foPj9ATrv2Mtq6ZHousb3G0uuI7lc9WybJJt2uuK67jg fJW/P+bNG+uM+61FY4l0mCf8jvgjHDrE3wvwB3JvRmIcF8Yrx5Xr8s8lqWu0 yJnZyLzAubHIfD4xdkjXX0ZauNzJ+ZPQVxeM5R+Uue+o/lQLersz51q+PnOt C/8VX+WmYqg8TwrWoYp1GX5JOf/1BtsmG+egy/ySY3lrs+tDuaqavxv545H7 OeR/mLOuh6HPNjquHwmfG10T32E9VnLM+kuOv/ykHJDuskH19pfEtGw5WOk8 Va2OK/rcvDq/KfxXj3s6cw5sR34tOZoh90C9+6L6o3qvsF/n1V9bYx7ehf8u Zm8E9IhG+0a0epj65RPl9vOP86Z78u6F4r3Jm3trnYMv46vheeeb8q633nrO Rc+99T6vXnowsW6qSeGQzsjen0c5OzL76dvl/v5rrc+qjk/mXR/HM9eG8vmR 2EOEszMiZmvV3rSCc+Ma1nWca4F3GfYuyuz3qXnXhnSeCu8Yfv5hxDdhovy9 g/NL89ang3Vh5nh9lzivq7RP5c9p8Gdi21Wsr5Zctx345DLi9S/4s/DD7Y3m a181fV3UU1ikM3pX+CZMFIYI/4SD6l+aC1QXwkPlpnqcakczgvBPtl2emm7C 3o7EdShd34y2CO+XNFr+OvQ/E2cSzSb/LTkuyp0D0NN5+xXWTZWmx8UeoFgd rHGPUX3NZZ0X566xBdehfP4teBOLxuUrWJvztmkU/tnJ29PpX6/Rv97lrx36 VJPx+Z2Ik8Lmvk/yPs5Mee61luyjr1KDrYntl+3ykeKhWMxo9lt681jm/FEe Tcl8ZlOtc1k48v/ZLnNedaX2gTBWd1RP30uMqz0x/+cj+7OZ39GsOiQ1LZ7m KuXDZOgJiWOmeG3PLKeX/UtT66t8XMt3G/yr2b8mxnps9JH0f48zu+DtSYxj HTEPNxLD7pzzRzm1pNm9STNpa2ZsncS6PudYK+aKw/sRGxewdxtn5meu9/7E eKh8EV+z0+TEWK+4q6YWJa6rNu60Qz+Yc22rfoVJo+qNF23E55bM+bc48/z2 AXRfmXu/akx5PiezzNmZa0Ey1ePeyoztfY3uh8ILxeKZzL3o5tS/GyRX89Q9 qfnaV95pBtX3stS+e1Vze5P5r9e6br6SuHaWpjG23B2ReUb8QuY5UXRLrEHN kYqL4qC+olgIO3dF+iep7arNuV+pr6inbE09l3256Diohyqu6nfCdNXk06lz fHnB70yIb7Wkrr2Haz1H7It5uTXOUZJ7JjGGHo2zkGKmeO1KPY9oZhf2C5eE cRMz2z4hc96Jr96hGWpSvCtfyCdfi7mmOUM4/Gzq3zl1Ofe841GHbbEPyl7N BZtizgzPbM/nVStF39GMfHnReaDZWT5ujX5WH347yvliZn0uzozRwuppeWOW /Li0wTjdF3Oprc4+1ex8KfLPcfeGOvdz0cKTi4r216eLjod0L+HbVZl/q6zO PJvIz8rVtXx3wX9A+Vny/DZafSxzr9bvpJXQK1XnrEdivvZD7y+5nl9mvT/z PNqVOfdu/6S+MmPFA9j0paJ7wOiisXBo1EG/wfTWDvS8ts4zQano2VNzp2Is HNUcvjD+plCdi78idc4r9880+XwLd4cUXY/NRcf/yvgbWXh7PvagATnn5yVF z4B9cQ7UTC2fqD+3Z7bl5syzmnrT6NS9Rz1oDPT1dcZ0/d7SfKA8Up+/Cb+c RM8bS5YpH2pWH8a509BDi7ZJ87HsF90dbXwoM70n599vkr9hsOd6ydTcohie jpijWf5ElbGpomisG8T6Uo3/L/BH4jar5DM3sP4PSypSZQ== "]], PolygonBox[CompressedData[" 1:eJwtl3mM1OUZx19g2Z1dd2Z3lp3fb2YW8OSoKB4LAi6XYNCIUW5cXBHU4moo R4DlGm11d1vAFGI9ErVYQYxySTxTUxu8Au3ugmkqh7RS1AQrxMQayqGW9vPt d/74ZZ7nfY73eZ73uebiexZOWdA9hHCcr4Tv2iiE6/idUBHCB7kQltWGcH9p CNNhWgrcqyqE3ydCeBrml9IhtPUK4XNoXXyjof0O+b+UhXAenqngfcD3IF+P zt7At8ch1PQM4Wb421MhbEbHamgt3Pcd9z1SjWwP7kT+bngHI7MX+T9AH50P YRb3bUD+ec7ercRG+GNs6YD/Ku4ryYRwEN2t8JfB/zzyp+HdyR0bgaMqy38K f1k2hGc5+zf0HdCfAb4Me+aW2Oc16L8IHb9F1yF8ehn6IGS29rTPt6OrFXu+ LPo/CvxSbB6G7sZuIaxNhvB+zrFch/xQ5CuQPwJ9L/zfE89p2Hucu96G/gn8 OehfQd+CfBnxuZj7NyL/KfStyB9E5tlSv4He4hL5CP1v0LdDn17U144/PdD3 Hd+OEt9Zju6uSsemD2cZaH/HvrngryG/CPl56J+F/E3It8HbUW3et/B5Pb72 QP9b0A9g/yl4r0ZmKLx/4uwa4OH4PwbaLdx3PfAWzg6UOYaK5RlkthftO0qs R2DTLuDu5fADzxI/9Ls4awR+EJ77gZ9A3yb0fY6Opgt8fx7+lTUh9MW2er6n gM/B0wnvbuhnuWtOXQj74N9JTs3A1wZkSsod3058S2SdC3qPEuBfITMPuMDZ z9F1EWcnE84p5dZlnA1POKcz4J/VOhe3of8N9K1J2Z5V8KyGdxA+DAnO4SuA D3P2DPDj3H8o9hsovvLpGL51EPNN8L8JTyn4b8CnE7uF8IwhFiO58zC0FnjO QfuW+3Zx1w5iPB/9+8CfBP8F/M1p54BivQgdJ/H/WNr5oJjcTWxGg0/Etzps Xk78HsCf2aU+awY+kbOsbP4E/FG+e6Gt4I4V2N+MzATwevUH7n44duwUA8Wi HHvfQXY7NuzH3seTrq8I+nxkt2HzkTLnsHL5FcWozDmv3F8e+y7p01svhX4U ffPRtwT4gcjxUI40A7fU2BfFayN3zUv7PZcQ79fBh2Tdm16FPw9+Y8b61IN+ wL6P+AoV7hHqNSl4ngvOnw+rXbPKFfGcJzabI/t2Ch0vqhbQ/1/0nwFfiu5H ivHSG34M/x3gk0rdIxYQn/c4u7HCOaJcGYvPfwT/MzyXq5bA361wT1ZvXlvr t5VPa4DHwnMbuiYpX9H3Y865r574n5x9lK+d6JiCrr/W+i1Vg6eBd0a2dR/0 qXn3UPVS8Yi3PnJtywbZ8gXxGRZso2ydDP/ZhN84gb+5pHttB/TJeeuUbtX4 DnStw95H4Z+v/gg8Bfnvwc+pfxO7W8nJznLfMRH4m6RrRT59xluOj+2r+utq 3mNZ5LfTG7YA5zK2dwU51IZsnHHtLQdvBR8RuzcpB9XrbwC/ITiG44DnxJ49 M7jvrtgzR7NHPe5K9Hel3Iva0PkC8RkIz8iE79Tdhcj1ph78EHAy5dmhGbMY +rzIufr/nAWuy/itC/C0Y9/yyLUt+RXAVSn3fs2wJRnPWM0axfxK4vVL6E0J 9+yf1ronqzd+zVlv6HuT7u2Kz7iMe5zy9zD0UuCf1bgW1bP7p91TJX9CNQf8 YdK9RfY2IN8na9o7xO88tLqs71IP06yYHrl3q4fPiFwDyi/tBKXYeibtXqoe dxr4Ht74H+WusbnAw7OeBerRM/G1dzE+jyG/gfs2J507ep/xyA/OOndUfwvg 7Zm1b+px6nWbY9e+3utF4H/lvGtohmqWFmL3atWoanUV+Moirl6nnqbephhP grahl2ehfJAvT9d49qge1Wu6Z9y7NcNvqnLNqfb0fvXYtooYnaOXTITeEPtN RVMPrE45R5Qr6oEp8IUZ+6YZWgl+vNL70Rj69/t5+yx6B/RuKdecak86rsl6 ZqgXqqe3I3sY/5sqnIPKRdWUamsLPjyEb79OObaLJRN7J9JupBq9Gn0jY9uu fNGsn4y+I+Xul9qthmT89gf5rsv4jaSvWfWp3pfzrJTMFOC1labJJ/k2Ku3d Q/NHs+ly7m8tc4/cDf8HefuufXSm3iry7qQZqFnYL3ItjQJfnHJOy1bVeD/g OyPPDtnYBLwfHWu7OR8+jl3TyhXNUM3SBN/uEu8AF2a9k2l3+KeWZt5+Bj5/ 3d08w7LeKUTXWRfwtCrzaiaczHsm6T2UYyu572H0jVWuYfMY8Cjj3UI+P5b0 DqleNxqevthfSBlWDg2D/2zataidrLPSNSlcO9BZ6OPSfstW1QSyvbGpq9w9 toF4Linmt85G5txTdZ9sKlQ7hoqletxPYu+46j/H4J8F/6ZivJRTh3L+j6C3 uVc9Sb20xru+7tBdd3J2X7H/ahfQG4pfZ03AV2Sdy9qpJ3HXbbFrXztGK/L7 wF9LuOer9zfW+b+IcmoQ9h4o7sfiOQV/oZdzWzFRrBZx1qDdlG9A7J1NssqB 16sdI8VKM6oN+i7w9iLeDt4/tqxmimbL4GrHQj2sEf8Xwj8i4R2xH7yNsWOh /NZ/m6ngsxP+D9SS8o6lXNfZNP13yLh2tJNrNx8AfUCp+5l2ee0g2kV0NrDW O63wo9x/B/D6pP9rqGeqdxYq/d9LO8fbOfskXyZQQ9u5f13SuaecU+41Fvu3 fF4D7568eXV2El19I89S+ShfL4w8axVTxXZmzrboP9L1vF865f8mmgHL0P8/ CFn+3g== "]]}]}, {RGBColor[0.588945848896047, 0.7628805666276935, 0.8249414822114682], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtl2uw1VMYxtc5nctWZ1/++/bfe5eRD8gtUc0wQ1EqmnIpJl186KQoOc3Q xaWDoxu6ISFH1MkHNRwzJwwjl+KDMtQot8H4gBiXMYioXH6P5//hzFp7/Z/1 vu961/M+7zonts6b0FYfQhhSF0Ivxh0tIaxknFII4eQohNaGEG7KhxA3hjCD +UWAyyW+g78/HcLHcQgvpUL4hPFH9jaAeRT8rfy+uSmEe4ohpLHVAf4d8H9g 82UwhxnvYhyH3XZsbiyHsK85hCcZ+2H/WvBrwDcxfxk72UoI28H2Y89+8Kv5 Ng1Mf77/nAlhPWtPYvN95nczb2c+jRhaiW0S41uKCfwr7NuAj/fw9TjjdL5N Ar+WfZP53cX6FMaj4BeD3wX+eHxMZX4J2GOcZzf4f6shLAT3AvgFjLfy9yLz RWXHovlS9vxcdLyjsyEsZ9zS7Dj6cZ5tnOsQ32v4+Js4h7A2rWzMVMa/yOen YM7H/z/462Z+BHxnvf0qp8rx3uNCmM18eNXz/jnnV3leS+6fIW+VBsd9JnHs YNwJ5grmh/F7Bn538P0b1jdhZ05vx69zdEQeleMq+NfBf0Uefo98rjpii9i7 Bh/d9c61cr6rFsIPxPMt8fXifMP5fS82B3OuYcyXMR/I/CBnvBy+3ce4lLPd An4ZY4aYnmD9O/ycl3Xsyv2qojkmrm1RbMxfYW0imG/BPIXNS4nhYsVOzFuY ryeeLsZ32bMOm3+yrzPnexAvKhXzajdrHQ3Gi0OjyMOKZtvanTFPO/FV4Dyb sLO7xdz8MuW8iVPK4Wbm9+FvOev3izOR8/s34xnEtxTc6Rojc+JpbF4BLksO 5+Pn7LL9Diq7DlWPb+NrV9U5PIf1k5LaVI2uTbteVDeKVXtVG83Yeh1MlfON qLdf8Vhrrzb5DNcyH1Xv/aq/g8y7mK9Mu8ZV67or5UK2J4pP7Pkcv9ty5qDq +7KC+b6ffavS9qO6eU28Ig9b6sx1cb5Xyfnd2uwa070JJ8yBese3Kbkn3ddi bM9lrY2901Wr5GI06+fy/d/Ie/9J8jG7yfW8EswIMKdHvh/lX3ckzdE9TuLb r8T5MGunENcI8n85uIti18fWBvse1geNStmWuChOdhTMU9We7NyVsS5eyN6j iOjElHP3RWQ7P6Wtnf/bB/dr5POtwM69sTVH2qOcKre/Ec/6vG3fljffh8IN CfUCftfEk7y5Is7cwPy5jL+PxcaGlDVE3LoY+1fyexTj7Mj83gV+Ln+txPhg 2vGOS2LuTuyMAnuIb93g+1Qch+JZFPsuFMOl4HrSzumsyNgB5KSbHPQwzujj O1Ud6AzzwP9Q8/pV1Osd8OcI2JHYXIT9NjDDsNOTs6Zszzmu8UlsIW9uiNeN NfsIJfuVxkkj1pDTTrB72Du/ZP9DiX8ffFgLhwvsa8yY4zeV/Kd5Q8Z6qR4j XWsrmS8D2duUsR3Z0/10NZojA6VLxHaY+CdXfe6B+L2+bG7PKpsr4kyWPA2q WCPUfzrTzuN89vbKWDPmlPyneT1rdRnHoFhWEftzjbY1per5BVlzSFySJm0W f4grz/oLSa9UPZ0Quc77M05WP2xyvS/J+PdlsXmje9f9L0j62nuxc6b6Uo0e KNr+9/gfHvte7gT/UeR8qLecVbEGTsj6/MrDJ1X3aWnSWPadVjRPTpXeg9kO Zn7ZfUL94uqS+4m0XT1lSVLvg/FzDJ9HU9apzrLHfM13olpTHNekXBfaMzcy 71bia0zW+agvWUfEN/XNKSnnRznRe6Qj0YhswnHZGVq2Tu7kLFObfHf6Vso6 xs+KiaZzljerrtebG5zTpS3eM6vofil+6V1wZtnaqn4oHkkbO5OaVG1Ojc1J 4bUu3Zf+q5cOrvjNMKHmN4HeBr1Zm1l0XMszzl9Pyu+FB/l9I/OZsbFvpKx9 hzL+/iH79sbGvx+7zwun3rM90RJp/YCi3xJv5dxDepI+Io3XXHWiXE5KOV/q O9JE1a+0T/UuLV2c1L40QO9H1ZW4pbrVWftylnV534N67860e4XeZUfJ7+3w 8ghje9F3+RSYkZFz3qV3I3m5B8yeFudVeOm53qPS7dtj14cw4sSSnPvGGuyM jx3/uNhvCPW9IWXfpezrvdJeMN+k8dJvcUzvCfUfab1sqc7+51adtUya9kXR 96A3ku5YcSv+C7FzHf7msP6A6j5Z1/mE1br8Lovt6/mM34Z6mykvH6Tdf9WH N6bN64Xk6lDVPNBbaWHR8StP6qXiv3yMia2zw8S35H35bM5vXGnql5HfKOLA RtY3xq4R9RO9h3RH7xDP17F51ZeaaC36/DMY25L/H+Yxzoidn4fS7s3iwmjW fim6dqUl/QquKdXW2RXX+5Xc53EVc1Z9e1by/8Mjeeug9HBJwTnWXvFWbzPp pjRzWfKO07ukNbkf5V92Zb+a9t1rfXrSM8Vb8VdvZNmSFouzehMobmmialD9 Q/Uvv79VXRuqkQw2p/elnsC39nWtCq/3/s6a7/Ng8sbXm1t3OSDJid4vyr3s 6MyqQfV13cEbVcd1WvI/07FED6UNqjnp7G2xOSAu6B6kidIx5Ul9SjmRbmrf Y9hpz/m8X7V4TTlRH1Ls6q/aozfU6t7Wd+m06lWcW1Vwv1mt/NeM2dtivZZP vdfU18W3Cxg/rvr9t5mc/Qf1FwBl "]], PolygonBox[CompressedData[" 1:eJwtllls1FUUxm9LN6DTdtrp/KctifhgQIIVBBI3dgqiIAga9geKqCCCAWQL FWgLAi2LYEUsIJQXIIIG0EBEWSIJaFgiGODBkIhIIvqAFAm7vy9fHyZz7v/s 53zn3Pt45YwR09NDCIf4ZfALxSHszQrhak4IFfkhHCsMYQmMxQidzuNcGkIl vGGIHoWeAT/KDKEv/E7xEB7EQmhMC+Ec51ucq9EZjfwobE5MhPAe8pXYq0Rm GnR//C2B3p8dwpykfcr398g8Qv+vkhB2YOsa+tehy1K2v4tzO+jyghD2tAph NzGMhf8WPsbBG4zOZOg+2LuMvQN8y8LXkIhYOE/A/mPYLysKoY5c9iDfDvpD 4h0Kfwi/nsh2wMYn+Esh3xH6b/LbAf0t/AvwV3OeAL8C/R7E/zw+FnLeST5v c75ZYtsN6DRDtyHmPVm22Rp6UsK1GUgMNbn8Y7NfsP9B0P9gfye6TeQ3n/gu lti2+nEBuop4e7UN4S41WEgtumPzAbrX4I8k9zXwR0FPwsYk7L0SOVbVYCj0 GGyuxnYc/l70V/JtGbwZyCyF7stvWI71O1Cvr/LMayKG5fBqilz7+jYhFICH tsoP2ZPIPIf/uoTlM/hWD70t4dgbsLkd/XHUaDu2NnLeodj4vQbdD5mn4fWJ jC3F0A/6ATEcynBP1dtWxcbCemr2M/V7nW+T2hrDj/C1sMg81bAKeinfZsEb xbd14K+ceLfSi6vyB/01NqaSyyVk7kD/Hnc+p7E5sYyc4sZWKTl/gP5cYvwm 2zrS3RfzvAyBfwT+iZjxvQydWnRHEm9tmnXmoVtd4FlQj2oKnLNyH8e3enQX U++R5HqP/lapP3wbm2aM9qYehfmeD2FyJPmt4XcgwzOyGjovZuzuIJ5FnBeg M5PcpsCfD30nYTz+gL0SbF3JtS/1YAD8jeTQI9P9q8N/NfwKcl1K/E8R68B8 z3o7+CnqdyvhfpxEvxxeBvE34etPZBqTxoiwonnMphbrYsaWdsj0QmNM5ynw V+JrC+eGdNfsF2RvR7at/LRr7jIDC9rYp3zXkeO+TNfgP3SPxTyPsrGEc6eW +qqGdfB+zG2Zf/QfYuth3LtnDTbPwptd6F5PU02R/5IaNKa7p7ugu2FvObUY z7mUfHJjxptiuoe9pshYFyaEjTbIfKd6a9li+zT8vTneD5dixqywKxnJ/pqw P8mcQfYddPIzvVO1W4+WeJ4VwzHoZuI/z3kr5v+FHh15X7/L72Pkz8VcS2Fm G/zKMmNbO3SM4oU/M8M9V++LSl0L7ZNN5FqedO+FzxTx9Yq8q4RRYfWNYu9q +RDWB8R9V0yF/yayz8a96zRDmqW1eeYpRsWqO0Tzrh3YEXpu5FkVZudBf5F0 LNuxn5VnjAgrulOeQP63hHeZenoIXjoy21rmewO6+SljbxP8POgj5FybbUwc hu6CzEfZxriwrpnR7GgHaBfkx6yreh2n/z3IcV6ad9h4dJflOTf1aDjxto/7 rhlLfrXqFzqH0o0RYeXFYu8aYVR3x+zIWJuoHiJ/M+HZls4N6LXEND3LMi/E fSfobpCM7qZxkfeJ6jkeujsxDUg3PlfFjDFhTTtfu/9gwmdh7AD0qch3sc7N +F+R6/4JE3PgV+BTDwZ9U283FHo36Ntu5Lfg72y2Z34m+fSUfIZjVuyfwz+V 7Z68X+wclIvu7Fr4cwq9m6QzF7qEeO+Ry31+z9CvE/ioSvc8bY5sQ7Yk0zXl navdu0j3Gbo9UsaK7oTrYHlEvrGgGLqkfAcIX7K5Hjq92PNTTf+zSv1m0f08 Bvs1+D4Yc791p00j9pciz4JqPBh6c4F3vWQaC3yn6W7bh79ZSWNQ/ldhP479 VyPb1htiDbZX0ZP9mY5Bs/xTrmPRfk3A70zMt3N8Z6URz8uRe6sdoLu9JOXd Iv1B5Hom1750Z97H3skC25KP+iLXVLVVzzYn3TP1Tm+IbvBqEp493Zm10J8l vctV81b4b4+9M60tI1ntBNVDM9U56TeU9oPeKHqr6A4RXvTGWKFdnutdpZ2X ST0uRn5baT+dT3inKj/NZFfsbYkZH/LZm3m9Evnu0rzrLacaKT/dAboLbsT8 1jqMzB+Rd5j2h3LMJJ4n8dExy/PdrLs16beN+qfZPt7yvpRMJ2Sr4n6/aF6P It8n7llVTIqtLN++dJ/obtXMj215/1Zynp00FnR/6O2rO1D7SD0dju7kyLta M6y3waeFxrIw2gB9Oe63lXJSbv0jv/20Mxfh63+l35ri "]]}]}, {RGBColor[0.6664201369216001, 0.8017111647855978, 0.8251589027724878], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtlllslFUYhg8wrc109k5nOtQoJIYoQQ0JQTAGUFoQRENQCFdesAmigKyK srYghbZAEVHbUqo3IhCCJComaiAxFDFgMF4gihe4caXQIkFAfN68/8Wf8813 vn15zwyetXjaov4hhJ/4BvANzYYwJxbC4lwI3dC7oL9PhrAfupn7i8UQ9kX8 KVUhvMrXXRbCKs6LFSEcgX8Gg63IvIF8HP556DbopdB/QXdBF2pCqOH7HZ0J 6RDWxEM4ELOPXvzt7hfCn/j6tWj+FXh9Ef+BfAg3+Q6Xh/BH0XZlP8793/A/ hP8P/M3wDxPbJs4l2LhVGcIM5GZztwC/21MhzK8wPRu74yr9eyoyO7mbSR4z kV2U830b9ndBD8dmG+cW7B6BriP+Zuj3kDmVcQ3kV3W4Rb6d2DubCOEa9Kfc 3cbOF/1NK+7swBBO3xXCnkIIn8RsU7bKiOEs/A74fVnfteBnAPxv4b8Df0WF c1Ne1/K2+28phKPlroPs31MdwjfQjyLfge/52F5BXufz7tEU5Nsj/nLy+pxY G+H/gM9e6HnQXZxz0FmGrzr4Y0v2uxe99ejcR8wbOJ/Oun7zkO1G53nol7PW l53V0F/R6xnEXc/vYegtjNn33eoTv2s5FxJzLzG/TcydOduZhG479EjVh7MZ 35upw8MF60j3En7no3sV3Vb4Z6jVM/BPID+5ynn1Q28BPkvwJ1KvRu6GqKcp z75o9ftZ5Jugc/R3VtGz8WLRsy++bC3L2c5SzsaU7Q0iziZ0P4a/tcrxKc56 dBuYjzss2kbO1rj7uBc7jxdcj1bq9AF6hZh7eYMeHeGsTbseZyL5n4vmD0x7 bjQ//aOZlX31oKXg2UuwZ9vRTcXc76PYbIJeS5x3+M6hU592zWRHOgeJoRTz vn2Wt/6xvHOqjVknV2Md1ftmyTEnkq6vaqM5uhrNrea3J2PdkxnvgOb/Onm0 F5xXjPira5yn+v91xjGkkR2aNy3edPrQhHxdtPOa8RP4ulw0Jggbyqu9f+PI a1TBsi3IVFa5DgewMyGa1d3w3yq4rlX4/61oHBLmfUmPnquw/nriG4/NMdxP 5Jsm7OKcGzOtuzp+j0f2EjYnFa37JOf1pHHhMjZXV7nHr3M+lnatN0IvLvc+ a5eFVdqvbnq5oOh5bCTmp4rencmR7elRbMJH4eQv2B9M7qex9QQ5XSsaS25x /1DaMyWcKKU9P5qvc6qhdllYlTXdlfUcCROnRrivmpQh20BuM7E/G9191GQl MSznvpNvB3RPynVX/W9jZ23eua3LexY1X5mk3wC9Bbmk508zFardA/UiC38h +g3E8z66FyrcX81kS9IzMIIcl7B7NdTwFeFPVB/VSVgjzDmU8L36pB4Js1Tb cdyPzhp/RmW9iyfj9r2y6JgVex/6cWQ6qP+7EXaMyBpf9X6pvprrDXHnMKTk Hnaitx65rdyt47yCrf3o9OZdM9kX7m2IZE5guz1jX50Z56p3UXVXTsJN9bUj Zdxszvl96Im7jo3Y2YZuT9Izrb4Jj/WGCRd2pIzFwlJhaqrGb3aaszHvWWvI u96vlVtuZ8K5KCf1XLkL4/QmyXcVb1dD5Hej/iPkrbuNc3TaPaussV3ZH5Tx W6F3RDGtyLn+6kNb9LZuQvalqO/HyOUQcY+Av4f7WfkIs+Gtybif2stHCn7j 9NYJ74Vv6n1TrXfpzVrvi/ZZcjdK7p/+L2iOVFft0QsRzgvvxxbM1z4Jq45G 7+m9WWP1lKLxTrh3POM+qCbCL72pwlr9D7o/+k+l/1Y/onMM+xeKnjXN3NUI 11uj2dMeazfVd721qlU9Zx82VyHTW/J7ojyENceTzncNMmUDPYenEn5LFOfw rLFP+Y0hp48yxsCDnA9mbaM54U/0SGEh8e0kzi7OPVHvBmc805qHLdRzWNY7 tQv/3yU8g/9l/bYJO+ai+z9rDW7B "]], PolygonBox[CompressedData[" 1:eJwtlltsVFUUhjeFKVg6Mz0z05mWaoTEGFEgQQkiGi4KCASB4CU8mQiIpSCg gES0QqEFCgUEVBBaoNQHtSgiicqDF9AIqAGC8QHx8oA3jAmmBQlSxe/3Pw8n WWuvtddt/2ut02/Ggmnzi0II+/l68LWUhVACsbo4hNdyIYwohHAfCtN6hXA/ 9MoohPWxfG9pCOM5ewjZF/A3lIcwCvlC5Es4250KoXdFCGehX+4WwsVkCMc5 2ww/OBHC1kwI5ekQDsEvhL8+iy/4d6CrsHGMWI6WmX6Xs0bkk/A3ljgf4c4D 0M18L0LP5qyTeCYWLPuSePoSz+DI+veTw+3Qx7G3g1h+QaeC2N4q9d1GfBwk 3wZ87MfXAfjLxHuEbx30LM6uEu/n3D9RZJ3V6B5Luh418En4OvJ7uJdrMqHg GqgWC4inFvtD8+QYXK87oR9Dpxr5qN4hbER3CDHOwd485MvQHxS5/rozEPob vnroN5B3IB8PPx35VM7GQV/G3vvc/5CzQdRydJ8QPioJYQzyYfirif3NpAZz oKcgP4q8A3sZ6rGp1L4Vwx3Y+y1yLX7gTgr5IfJdBT+FfD+lHkfQ34Lt17lz pTKES3xLsfc8Z2eIbyk1aUU3z51PqF0XZ/uLjYm7iC+L/5M9qRP6p7C1FfuP o1vBnYUZ39HdNvhl2BqRdy5635HQY8lhdU/XZwx0Sda+U9zpDX1bZHs16K8v dU2V31zOhiPrGxkbwsiN0P35ZsX6S3P+RMvGAGTdwNTBYtf4EvywyLZkU7Wb XfBbqMZPQC+PjJ9q4r+OeNIVrqUwVIyt/jn3RiU6t0LXRsbiZPRPgId00rJ2 +Dru30u9Pi5xvKPJfzE1qu7mGJZAf43+VugG9Cej/wcxPYrus8TXlHMNlI9y vAVfa6voF+Rd4K8Reir2j2G/E51yYr07bd+K4TPeYknB/oTnZ6C3JGMsCVPw m1Kmlb+wvT5n38LMPOGp4HyFgfPq3ZTxu0g9VnCO7XH/CXvD4/oO4KwZ3XEF zyK9h972SMa1Ug/Pgd8BPzRhe21J10C12AJ/Gv4k+bcIP2AmItemjG0rp+ak Z5h6U5hqgm+O56Hwfgr/T2WMTfWkevNHvnbktdTsGtgvStm2+qmm3DNIWG3k bAP2rqQ86zTzviWXbdgbkvAb6a2O89WVeOZl0f+70r2sHrgK3YP7J3r6fZ4s t0/5Vj3VW5pBmkXC/5vE3pEyrxm1Sr2Az2vdXfPNKWOyOq5PC/ILKfPCbB18 P2y0dve8bkNWR7w3JXxfs6cKfBwocg1+wvYLMX41L39H/7t4XjXCP4ivp7lf mfB8eZX8/ip4dmgmX4LOpK0rDLdy95W8c92FjZegN+ZdW73hBuhfC869Cf7n gme8+lk+FuHrEDXZVOyZ0IasM+fZqZgU29nI9dUMOwO9psq9oJy3odte5lqq hqqldqJ2n+pZH3knKFflfJh8+sT10BvrrbUjpS8MXSw1JoVN1XAFd/vG9dXO HFlpjAlr6pe52F+Qca+qx+ZDB978dJExkgC/Gb6NJcbEzrxrPit+vxXcPx/P b/WUevlcwbEpxkr4KOnaagdoF2zh/s0J+9QsHKN84N+D79RbljkW6dRnPBM0 G/bB34Pu7shYUs+l08aMsKOdvwvfZUm/neafdum6rHe7cvoz8g7ULhRGVyE/ HM9/7ZCB2FuZtS/NkM6kd+r/swj7e7jbkLM/1bQ+5x0mrE3XDKL+Q/LuRe1o 7epxaf8LCIMX0N8Vx68eUC/si99fGPog5xmjWaN/jhbyWVywb82PncRzrtS7 SPOhlrtrsv6fUf06uNuVNNZV07VZzwjh+Sti6o6/mTnHKgzPgN6bMxY0H1qx PTzv+aSdrt2+Pe+7woCwoJ0s/AhvO8s8I9Q/2rGJlHtAvaAdfbHSOSt37TTt tkzSu1g7QLtAb67YlYP+zf6NLNd7XYOelHWvqp8maj/lPe+0o7SrxkbGu2by 2/hPJN2rwt/31G5C5Nw0A7dnjAHZlo8L0P9Exoow0wX9XNb/AupZ9a5mZFUc n2otzDXE82MP8uUxPrTjNlO/DVnnozdogv4PhRCCvA== "]], PolygonBox[{{6107, 2233, 3861, 5339, 5340}, {4567, 4566, 3885, 1441, 4984}, {5362, 1705, 5361, 4566, 4567}, {4760, 1332, 3757, 4426, 4427}, {5276, 5275, 3784, 2192, 6044}, {5340, 5339, 6643, 2679, 6645}, {6047, 2193, 3785, 5275, 5276}, {4427, 4426, 3758, 1334, 4763}}]}]}, {RGBColor[0.7383163914610762, 0.8333881596180722, 0.8159851196155583], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFln1o1WUUx5/szubc7+7+7r3tbncRCIksLSjCt0amRdiLGaN/KiiQ4bI0 Z3NNVzTbnG6rrbk35151gv0hRmtFoEIWLgcSbEWJaWStskVQuWauMvp8PQ/0 x+Wc55zznPM9L8/53XnrNhe/MMs5N8Lven41cefmZzhXC70vx7lxlFOhc6UJ 5zqvc246cO52zusjzm3B5oOYc8PY3IxtF+cK5A+iH5rt3PsRu9/A3X3cPYXt VnR1yMajzv0CPwYfSVsM2d6Pn9GY8Yr/Ifwx+EXwPdx5Gr4s5dxJ5Kfh70Z+ PtO5NLE+5dyYa9SlTSebSXzvTTpXDabdBc5NYP9dpsXelbC7n+DvvYjJhHWa GKPYXIYWeT+KeZD8N6HvJtdv0B3DJoX+0XznzsxxrhCbP7KxAcIgdCV49tzg 3Crw7OFcBoZqsPTNNvs+/DZxruLcDN0P1kPIcvB5RjyYLiGvhe9Gfoka9OuM /QC009tHsV9KrGZirSTWn4H1q478KhLWi9+xrff8P+j/DizXLchKyWUjuayH 7sCuDZ8/E+shdLXMwyPqf2D+lxFnLG45lmM7RV414OnlbhV2Lfg8QR3O+jyn 8w2fcA4hb/G5TOF/NNtm5V9s1yJ/Enkb8pfwVQmeCuhE0mZMsxbPc+4C8rVp i3ctbtJyUC5/gbGK8zPY34W/o9T46lzr/bUeqBfg/zy0uVoIrq/xcxSfGdw9 i/wt6nMO+lXK+jMDnhF+b2LTg+wq/t/B3wjY93NuRX4afUOBxaovsB6oVsuJ dSRi9pqhSu4+AS0MzZ9wlcyymP0ZVrthfC2DH6DGG/HfhJ+OwGZCNRzg7gr8 tiC/B3qbf496l/0p83cwam9SdTuM/F5vvzewGTxOXdah69U8c/eNuM27ZkN1 UX1V5xD9klzDsBhaFJp9C/bD5NKEryPU4TP4Lvhx6NaE5XIr8d9GV8GcdITW K9WqxL9nxVEf5udbn26B3phnb/OxtL0fzVgNNgvyDXOUGTieaf1Sb0I/DzHo AezriDEoDGBckmFvVbtAO+FHzWpg/agBYxP5nCSvZmhv3OyHqNvzfkeNwU9S z4/w/1PK7olXTXVPe0d+i7j/FLQjantE+yTm66oZVp13479E7zFm8605LybO K/6tTSK7EpjfgFweDm2XaqeuyPl/t/VzXgrOd7GfoSbbs5z7ONv6rbrOw/+c hNW8Gh/fhob7e2rSmmv7bRX+2gPDI1zd8KXwTfA/kOcJMF+E3sndZ7l7B7Q8 brxkD4RW39XQHr/zhXcBsb+kR2vAtQkfLmJ5rvb2r2F7U9LqMRi1vaD9cB5Z t9/ti7H9NbRd/Bs0L8f6fSFlemEQ1vao1Vy11/dDeSm/HXHrufb0Pp/Xi8hm 4E/pHWFzIGoYhEW7Q3M5kLJ9p168StziLJt5xdDbElW9tiVsJ2s3P55leIRr V8xshKvMY1VOeud6763wr4NjIb1r9N9Y1Uc67ST50p2Un/8kdJG/q51xxb8j vSftBtVceV72e17f5/Zcy7ETujy0HahdqDnWPPfG7LsrfjP67UnDcDHbZlG9 2oaskJr3EaMcn32hxdVMqQ6qi/Ksz7A6aF91BZZDOXmX+TlvC2yHaq+9nLD5 1bsQ1klf50Pg6Y0aTuHVN0P+KhP2dlQr6TSX6mM9+rnoNiDPSth3URi+CG2G NEvnwLAhZfP3XMq+l/rWHI7ZPGmuGhNGJ/x/gClv0xDartdeSefYDlIv4uQS 5ljOxdytC20v6Ru4M2413In//wCL/FuD "]], PolygonBox[CompressedData[" 1:eJwtlW1olWUYx+9i57j0vDzPOYc9m30SMjGLCMIUpDKiiEbB6ksFBUNSy6U5 ly+FrjNnm+3YfJnptjPNwj5E0Fx92YQKEgUp8kMvLgtN0aSiwrSVFf3+/c+H G67rvt7+9/V2z2pd2fLctSGEMqeO83c2hA8gjtWHcDkJYbAQQts1IXRwNwT9 DHdtyB7HqBV6GWdFjX84DuG32PajaXxkQmiObbswFcJYLoS3OEvQ3YHNfmxn 5kOowo/DfwufwE/Umz8FPx/7J5EvBcMg2H4tIYdfPz2EP5tCSGWtK5vv0O+L jPcO4g2D92fsT6C/l7ur6J6H/xR+N/wV+EPgWZAyRmF9hzOG/CP8ncffaM6+ 1iC/H1mf8gH9FDrDyG7l7jHoJfjbhb+BhhCOTgvhDPaLecsP+PgY+l1sLiHP FENYjr9BbPoVLzKtuxnI/i05d8Is7FuJNy/lmIvgh9HvRtZGrX4nv2ux6Sf2 QeTroL+ITe/BxzjyiJgz4U+BIdMYwvGcc19GXiVWd9G5kM4W6HLRWI8TYxH4 V8aO143+m+hPwr+NvAqmucjn5V0P1bwD2wdq9VZOq2Bv5q4L+iA6+5G1wPek jPlHsB0ATyuyw9eFMId6LiR/28jfI9T3M/gs751ANs6ZDb8j53yrWTfjf0Dx gv3vhn6xaHzyv6HoGKJHVEP47si1egL9LZF7TP1zmNPIW/pr9RWmN4i1M2t9 xbwZ/wM521bAuALbnsi9qX7ohb4p71jCoFytLjpX4k/Cl2PXTjXvgt5HjbrS rscl6PkN9t3C+/vgt2L/fp37t1e+Ms6FcnIj+bg9dmxh2AvWO7Hvr+Wvgu5o 5NyoBg9iP8DdhrT7+b7YPS1adxXq+3LBvGaoE/p5ztN1zsEq6K9r/aUaxrx1 c+RaaCcsJx/ttfepZ9ZAx2A6Xe95KNJ/60reFbJZD11A/j2ys5wG5Ecjv1X9 fwz6r6z5z+F/ij1T8iWfcaN9itfM7eLtl7PuZ/XvOfR7rg/hnxnOmXJ3T96+ FDPBdqrJu0Q9/GHkmVAtVJMR6E21/tqJvBP63ryxqd97isYs7KrRL6pnwbtO +dMueoX4m9LG0AvdhXx2yv2k3XEh41zoroxsT8n6r+HzCL02K/K+1N3rJc+w ZvkT3lvhve3kfPs078gh9Oei/5Xeiv4k+lM571fdPdTknCg37wkT8iMZ05r5 M8i2wT863T4X478Zmy9r/k4KG2dV2vOxEfqbxDLFmEz8J6i++hOWQg8lfove oN1/IfFu1Y69in0u8uzLZ2fJPT1R47eD5YYm107vV240Y+p37cRXC7aRrmy0 K64k/rtUT/0Vwiisa7l7AdnpxLMuvMpNR2KZZn6Y3tmXuP7CO5IYo7Bqh1+E P1DyLlR/P0u+buMsq3POlLtso2ujP+auvHeYZlEzeTf5XF3wrMqmveAaKX/K 8RzwH4KvpN1vL8XeAdoFmsFbNHuRZerJqYxnXP61Mxfg/2KtvpqBP3hPb+xd 8/9Mqj9j7wPZV6E3xvanmGPEPlHy36EZ16yfK7k3lIOz0P8BQ1c2Zw== "]], PolygonBox[CompressedData[" 1:eJw1kD1LgmEUhm+FrF5fofx6bVHsTxQtQWNlQz+hIZTMwKZ0lEbfatBcVKJJ oaWxloigvaGxIrDfkFvX4bHh4jzPfb5P8eBkvxaVlIU5WM1IRdhCuJqXeglp JyW1cG5jI/yjUFuWjqGflNbxDbCn+Pu861iPmDgs5aSvBSmJLVO3Ak3yGnDn S+2YdJ+WQmjw7qCV8O1BaUV6X5R2sSH/C7im5iVzbWbdnDZvB62NtoaW51+A KhxBF+0V3zThetsMIdoL2i/aLX3P6Xvju31sL8u3OhvEhcR1Z7vYTs/EnXnk MtOY2BF8BNIjO35if+CJ9yRwvvFsbpvf4y4V7uNjh/Rt0Xfou1s0/3eGQ3Kr 1CgH7tZ28wfiesS/kZfmlt/4Mzm3o+36B02POsk= "]]}]}, {RGBColor[0.7933560754152736, 0.8482312236407146, 0.7923701783604395], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtlllslVUUhQ+F0hp7e/97+/fetg9O0QD6UGOixikOaAyKTMb4IlGJAwil lYJDaIxRKS0FWpC2RgZBGRJ9oLQOiQhEDSCaYIommkYjaAWl1sSopWo0fivr PPw5++6z9zr7rD2ce/GCxnlLS0IIR/km8s2qDaGxNITxyhAWVYfQOyGEpCaE V9IQVmJ4Kfvj6K/EZkM+hBf45uJ3piKEmXUhfFwWwtoCOMhHkF9G7sK3dFII o9jMrgphF/KXuRBO8a3D9zD6KbXGfJ1z94N5FfIm1qnoZyAfQL45G8K35SFk iGc6+E3IP+PbU+EY7gXvrwyxEvMSYhxHn+Gs3UkIp4vokd/CpgSbBPluYmko Gkd4j6ObWmqs1rzlHuLZSvzPcffPkKeAtQeihtDt4Hc9Nl3Yzgcrj/877C+P dxzhnHORzzp0b+Ycg2I5xt5a5CF8t0V8nbMCm1b0X6Ffye+GySG0sH7CXTYQ 1285YwnzEPpRvvfxPc7ay14XvmXsV/CtR+5Ed7jSuVMOD6aOfy9xDrO3F5s/ iWU7510P5g7W7lLrlRvxKD5TOD+Jbx84Y9zpF3z7sfkb35Eon2XdlZjzwPkD nPsk9jPRby86pzvRLYfvZXyPgfs1e3uwGQR7S5QT8rw2cc28RjyvcsYTyNew f3XOckIMdyI3Yb8PzE0Z568e3Sy+p5DXg5nLGlPnLKwyh+dh+4PyB7fDrM/y LUZ+hrWdc0vwbWPdhd3TyDvz5lF83sO5q9mbgPwTOVmK/iXkN/CdlnUuhtDt VOylPi8Hd5+jvzVrPJ2lGvs3Nc/Kwx115uQsmK0Rf1XiGlWt7ksch/znYF9N HPeBsaXCtaicTsOmh5gfhdcLydu61PyIp2U556IzdY8qHvX2trzj1z1mRpv+ WNcXEGc7uFvyzoVysirnum1nrcm6Hr4purdlc4x7/MheH/IZ4RV9L93vvdT1 qTqtSIw9xvoHNkex+b1ojhRbN3PjCHHcRRwH1Qv4tInT1HNluNx1WT3JvuK9 WGP9bVn3jfIojjbFefIh63itfc6Hpw/yni2aMapL2Wwuunbays3diirn8Yqs Z6L67iQ2D8Z+fztxD4uT1pxzoxxtJM5Lql3jvZzVWTTmes2hjPXa1xzUrPg1 9byQPA/sPbGP3kV/f5ln4xr4uqzWayZxfqQXj6tLXSeq9bHI7TnwN+I7v8Tn qUaV60bOnF7w3u0FzwLVz1TWjrx5Ux8cr7XvdQXPNd1X91a+lfdi1nWmeusm 9v7UOVKuNL80x/ajP5E6Ns3dwdgbi6o8uzV7l4J3Y865WpN3X+bj/NFMUsyq S91Zd38evM1xjjTjeyhxTpXbTu7UWO6YzmZ8VgNnjYI/gPwfvjcUbHcT60VZ z7tHNBvw343+YfQtsd50pw0F15zetJ44Y7tznrOSBzOeR5pL16K/pWDexF9L nOGFWr9dH5W571pjH33BfQfiO/gAeCXxDe0A4xR3O4DP96ztBfu2FVyzqglx oV45XOZemBFrRLN+dpyBC/GdU+X6mFvlfpKdbHQ/3Vdvj7jZPdnzamHsAc1R 9Ym4bcZ3LOO+Po3+00r7dektSO07kpo7YS5gXRzrUL3eVXCcnazfxbdY76He CdW56r2v0j3Xwf4/GcekvC2ImA8VzIv40X+NJUXnurvSM1cz4HLy2RVntd5A 5V41oLrrjDFMrDOvikF1XB97SPWnvDXF+jkRa1hv8njGedN/ItWfeK7UWx/f 62bWxqJ7Sr2ld0jv0Ytg/A/DtVDD "]], PolygonBox[CompressedData[" 1:eJwtlltsVFUUhjeFlmo6Z+bMnOl0GkPUSNp6icREjYrRGF80QS7G+CKJClq1 0gtg1WCMUS6l2BvQUgG5GIoPPljAxASkRKUgGjXVR2MEQdGCJAYFxGj8fv/z cJK19lp73de/zzVPti1orQghDPNN43sjH0IzxHzo16FX8TVUhvAiZyOZEOYU QlgJn4MfzYXwMfJb4F/FyOdRCDOyIWyEzyP/EPl4TQg92Hof/p8khPWJbcn+ ELIb0N+O/i7Ovo1DeLM2hE+nh7BpSghPFEP4BZ0pyFqrQ2gphZDUESuyU/Al 6PvRX4/+05w1on8V9mdUhXAzNncSz93I+5A/hXwm8vuyvnuEs/XI7uBbWGH5 EPm9xP2WKse4gHg6yXdHGt8k8v18K6Hv5GwHuR9Cvw363akhjEGfrnFusvEy /JxyCL3TLG+gHqtyzqeJO2u4H2Vdz37OhvC3qOD6DcN/h69rkW+qdP1OIh8k 3q8rXIO/kDcXLB9FfgG+A34r/D74v+EnubMX+rUrQzhKbJcz5qUj3casaZ2d QbeVGrdXuyZvUb9uYnyEfCqQr4Puypm+iTs98DdmXZ8iZ4eQ/ZlxrIpJsf2O zYHgHr9QcA/VS/XkLnIJ9cwOsX0C3w1/EJsPoPsg3xH8P87ZbmRdso/tBdgY UT2JL8Z3LmtaZ3ORfUXN98MfxccfJfdYvVb+0/B1vmSZ4h0j3rWaOegW/J3H Xwl7oxWu/w/oXiibV48vQu/JefbVM/VOMSv277F5j+Kp8+yqRzH0lpL3YwX8 eOSd0G7sZD5OEuu52L1SD9SLKfW+qx2ogO5K7atGR+hfY86zpJn6knq0Y38p vpfzbcH+6dizoPprdrRTml31SL2aSFwv5fAN9PVZ10v1W0793oudu2ZQu7y1 xv1fi88WfDfj89Hp7tFHee+o8lWMa4n1YtG6s5BfKnontZuKsYNYe/m6oDvx sQtbe4i5Hf+VqgH2riu7Vt3YmAndFnvf5mFvAt3DkeWq6QH0N2VsX/N6r2aF GDPoL0L+K7rrSrYvn33Qg5y1pfM3G/2NkedRO7mau4uL3q1x5P3It+cdWwc2 9qEb5Ryb8msoGyOEFcLIDcj7EuvqTj/0Zs6WVTt/9WqyxvT/ZyV/op9D/9bY GCUs0g4uUbwZ84r5efjudP+WMD8rEuegXJSDcmlK50Pz+hDx7Y0cj2q4Le+d Vq2EmW3Yuy22b8WgWKfWO3fNoGZxe+LdE75vg/45nS/No3Z3IO9aaCY0G5k6 74Jm4hL8j/g4WO0dOp54hnVXNn7C1tuRsUQ5KTdhinjFtJn7x+pdS/VwFN13 IvsTxgvrNROajdWaX+wdzptXvsLq3sSzpvs9iTFU+DSIztVZY7CwWG/eRvQX FyzTm7UP3Ydj43mjfGjeIutrXtYQ74GMfcunfAujutL5uwxfW3avtENF6KHI tuRvVuwd7k3xJ8L3RMZvgfBFb+18vjWV3tmtsXemM503vc2aOdE6mxsb44R1 wvOzsTFfvDBwoNY7odgU4yvIzyXefWHAb9DLCsZG8U1Zx6TYhJHHMsbMYoon ehtPJcYy1esE9sbyxm7tqHZ1Q4q/2int1heRZ0n7u6PkN054oxk5AX97Oo+a Ac1Gf9n6egMGyq5Zc/p+qhfLSsY+YcBwxjVXfsKAkZwxXfGrxv3cfazgWIXB C6HPEP/uKmOwsPjZgvFSb9Yz0P15/0uof7ORHy95tzTPddTn38R3pf9Zjf+J hK3q2TzuX5GxTD7OqlZ5/ztoJ5di74P0PRDe6u3/D9g1Ti8= "]], PolygonBox[{{4817, 4816, 4467, 1158, 4818}, {4819, 1164, 4485, 4816, 4817}, {5302, 1037, 3320, 3246, 3247}, {3247, 3246, 4501, 1168, 5303}}]}]}, {RGBColor[0.8336008414702555, 0.8482992405686621, 0.7560803132617429], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtlltslFUUhQ9Y7jPtzHTm/xmIiZiIVR/0xZiIRiNGCRGVi/ogSkG8IuXy YDDFSMCCINILSKECShQwIQSMqIHaVhICgqHKRRIlGqsxQJEaAUV50W+xzsPJ 2bP/fVlnn73XmVEz5kyq6x9C2Me6hrUiF0Itio2VIRSqQ1jcL4TD2RA25ENo rghhIrpviiG0DgzhZBrC0UIIUwaEcJz9fdar2O/F/jD+E9DvQ7cfeRxyJ/Kj +C/BZhd5riA/S87tGXxHokcO+PYbEcLrQ8HDvgWfu/D9lBjzwdAAhs0F4xPO O9DdVAITeCYmIYxG7kZ+CHnRQOdVjuno+/i9En0D/nVg+JBcM9H/gX41+hYw ZMCymX0d8acS/wniPwXOZuJMZW+N+tvQX0pdh27q0Yi8bHAIb6WOsXSAzzMh nvcouW6I2O5OfH7p9X0W8hmKvwG/EUXLL6FrxraK875GnC38rsf+Ctg35Vzn r5AvIr+B/QD2nUPsq989Zc6K/8fEmxvrthX5d1YReQh4Ggu2vVByXMXvQj8d TO9isxu/n7B/jzjHONcz6Fdgs5tcK+N517DXxPrfz7muq+KuqM+v+L6CfSP2 ndjfiH4P+iPor482p5HfAee2QcTG9y/sxpL335Kxq396wFdHnDbk0fj9hs8q 6nGAWlXE2naDeUa8xwbiTIt3vRj5AviasB+MzXzkKci9+PYhNyIPQj+G+35S /Ub+3tTxB6LP8buLmt4CxlnoJ6E/g+/srHEKr/pV97wH/VbkBeiXU8v1Rfdf G/t51jbkPvYfs66tatyTup6nsj6P8r6Z2HbOUMe9TO4FyH+XfQ+S1Q/bhxiz zjOHOPO4i/X05nriTFbfJf4tfR3f+8eZ0mx9l/pezpL3czCtIu7OjHtavb0W v0vDnacKnLuGOZdy3gyOTvaqWJsO1kJ8vk1tLz/dW+VQ311L2Xst9uMS979m 9GCl/e7j+4Eod1C3L1i3gu15sJ2IfKJ+r2DtIFcB+8rIS0ewaS94xsUx+6N9 e9a4hFOxmsvG08Q+bpj7dhpYV6fmgbeJ3Z7zXMytdh6dVfxSKnuuEva1Zc/I l1n3q/q2Fd3p4Y7XRLyxZd+77v9Y5EZx5L3V5s82avxJ3j0wU7o4R5qntdzB Qnxb8K2J89KH7bqMe+9Bct6e952rl/9M3fPq/R05c0Wp2rymc63i+65Kn/kQ 9/5ItXkpV+WZ1+yLP3LV9lWMZTn3gHjuXN4YhEX9/vgg1/Ojgvtc/d4R6/Yy MX6OXPELeR8g3z5qvpTZWhrtJxPvBezWgeFF9muJ24L8NPLDiTlEXL4l4hdP n0gdUzy0KPGMaEZPlt2Tmt36ou/q6tuVc7+t4XsT+np8G9k7i+bTrqL7RXek nvun5HNdLpkjZa+7VP9d7R0wfJCx7nTsbXGT3pS+WJ9zRfOs9KvL5j7xm3hu UslvhN5M1V5vg/rgfGqOEldtyjjeldh7mjf1X8NI33Ub35sS37XeqzGJ+0Gc tDxxHL1vhwo+g/he/CEeUW7NiealhtqMH+FvZ8G5JDEHigsPRRvN1t6c8Y+q Mi+IHz4r+n+AbL4vuI91jjuxn516rvW+6f3QjNQSe0re965+0X8CzaZmdHxi jhJXibvF4fcQ54es+fA48Xqz5ii9IV/nzeHi8oMZy715z6Fy/VfwGyP7i9g0 J7aRrfpS/an5PhXj6x17LO8aarbmpe49vWPPxbdPPP0/coNXtw== "]], PolygonBox[CompressedData[" 1:eJwtlV1olnUYxu99f/hu77P3ffeOdxblQWR10FEEVhTNaphaflQHSZpUSLEt g8LYonBtyzS3d7NtLDGlbIGEQnVgtZkHWRZZlFnYSQaRm82IQuus38X1HPzh +j//+/u+7vtZsrlnbXdlRLzAqeb82hbxZm3EqxUR58A3t0RsQuBQQ0RSithc jJiu460q4lHwKs469L5BZzX4UCbice67uJ9D/otcxPPYGsD4SfAsp7Mmog+b J5ojfsf+h+Dd6PwGHsDGn+gOc+8HjxDDRvBQfUQZvJ1vF2st/xL4uzRexf8t eGV7xGeN1t/J+4HFERli6ue+HzxVQK/WMe7j+13IH290/FvRfzKJOE9uV3G/ Etnv21wL+TgN3s3prnA8w+DH8hFvVDuHq7MRWfRnqdUM5zry70Zma71rNIe/ e4hpLfgU9jrBNyBzrMH1+Jx6HMNnOc2nHdsjvDcT3ypq9iXv66jRNvz1ITOO vSnOemQfRuYMsjnOew3u2b5m90y9k8xN6A4udr66D4D3ZpzvYWRaka1KbOvI oohlvM/kHJvyWcr7lqaIGyuc4/Xc+4j35Sr76wU38F4gvkni3UL8D+FzQ6Vz fgD8StG9Uw93gDtS/qhGPdTqdnT6sV/Gxh3gbN61yHJP8o5BsSiGT3LmoLio GpV525FzfeRzkvzvTfkgfwvYHy6aG+LYCHiiZD73Ym8c3IH8p43uTxfyS6nH 9gr7PwxezfsJ3kewURb/07vs/YX88lRfOa3g/ST3zkXm8ELGNmRLPZ6lXsWS a68aqpbLi+ai9FWbsVI6S7yPgk+3mMuD1Pc+6tHFmQIPE+M8td9Tsqxyeh28 qejcdNfs1iT2pZ63428snTfloNzm0OkBT/BtbWvEI9gfrfEMnMX+f3zrqHb9 xYWfqfdZziBxDXH2tHk2NCNj4DtL5o9mrgP8HDLPcn5E5ydOfZNrKf+q5QeJ fcnnRnxfkzWXxKmZxDMhPmxD/jL2LiWOR/OaScxZcVczUM19ZxqPenAEPow3 mxviyCD+z2fMTX0bQr5c8GzpfX2Le6be9YovBe8E+ZLPrib71F31fCrxzIuf mulE9nKu1YPU/19qtyZvbovj94Nb8+aDOJYDzzW5l+ppN/d3Ct6diuEtYkmy 7r1s7CW+y622rXhUiwM5y2vn7gdfKrlW2l+/YGtXuj81E9qVryXu1a3YPIj8 19g8WumefAW+rehZUI1u0ewUXAv5eEb9znmXaqd/DP67zfGLP/+Al2S9G7Uj nyCfi+hP15rD4vLRdDeLcyuIZ77FvhXDBfCZNtuSzR/AVci8mO53zfLxnHej YlAsFwrWFV/+AJ8qWF8+F8BP5/0mmWuz3pHaXZqJYfSXpf3RP2MULq1M89dM a7brmuxb9dNuWZPOq3bq3eJvi3MtE9MVWf+DJK+YK9v9D9Bsy552zXy6v6Wv f9Ek+hOcOuKo59Q2eV+qhh/Rq7dz7pV6dpC3DXn7ks/30avgHpxpZN/l/A8+ 3Bmi "]], PolygonBox[{{4487, 4486, 4819, 1364, 3798}, {4562, 4561, 4969, 1432, 3877}, {4824, 4823, 3515, 377, 4820}, {3868, 1425, 4957, 4277, 4278}, {3765, 1340, 4772, 4432, 4433}, {4433, 4432, 5266, 1660, 5265}, {4872, 4871, 3537, 387, 4868}, {3798, 1364, 4818, 4469, 4470}, {5300, 1678, 5303, 4503, 4504}, {4278, 4277, 4959, 1426, 3869}, {4825, 386, 3529, 4826, 4827}, {4264, 4263, 5302, 1678, 5300}, {3878, 1434, 4973, 4561, 4562}, {4863, 379, 4261, 4864, 4865}}]}]}, {RGBColor[0.8588218422618112, 0.8324739855145897, 0.7130320006579498], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJw1lE1sVGUUhg+0HVrKzNw7d6bjncICEzViwsK4kcQISKpSi7QBhI3RWqui VOPGsNCAiAaNP1CcQtVGMZSq+F8ImOgGjfU3BQtBcQMRY1XQqhS0C31O3s/F l3Puue/3nt/vzO28v6NnupkNcGo484tm3XVmZ3JmG5rMPpxh9ihyE+cj9M3I H7PSH0NvyJs9Av7qxOxUVviN2M/OMsvUmr1aMLsb+2rsf5fwg31jxqwfPxlk 90yzH3D8LLj58Azg987I7DS2P7FNSxTPv+ir/Ztgl+XE91SNvt+Efyffy/Hb A9/HnNNw38bdXu52Ih8mlsWcK6eZTUS61wZPFInn8tRsP/p72GeT07qssHOK wjne/Y/G5ARPS6I7fjfPvaX47iOGJRWzC41m5zl54jjIvwT8AeTrWWFawT7P 3Yj/25HnGqV7zi6LQZ/EnqCfQu+KVKeRstmLqWy3Y/sg8Gfg3txsNsWdx5Gt 5H24wWwXuN0F9eJpsC/z7yp68AryRF49GIDvZKpevMG/bfjYUm9WRT4T6W4v dRhtEK9z+rfbvc+e70Whj95b53TMEWp1gLpdip9aeDZhW4DfY/jaC1c/d3sS 1XM8q3p5LTz3HdR8Hr62FDQTPhsF7jWn6uNf8C1MFdN6aj5BrJ8Qcxv6jdS3 Sp1fg3MZ+g70NmQ/+CH0ribVdTLU/YaAv75JffN8PJetoQ7PlZX3mjBz3mPv 403+PiLleAk5/lMS5h78jhdlH4lVmwthHorBr/fP630++GqpaIbbm5SP57WI eN9Cvtuo2r0daz5Pwv11mMOf0b9A34X+Vaz+e22dq6OkdzAOz3Wp5mFxqnjy YcZaQv2db2lFb+egz0Cz3vUCf9f46AMzCGYr+oPE0I7eHviXI28Odd5L7j9l Fc+XsfrtsddQpzPU8RD1bMXPocA5BKZKTDF++5CXUccX8PsAfrelirMX+V1W +Fuxz0v1/n2vJKFGReRuOJ8gnj1Fxep49/NSqlx9r1RDT/czU98zW6vw9S36 FOd97IfLevP+9teCnx72j+/FPyLNns/gWfB3Ya/jf20ivR45WhbPkbKwszPi 2oOva8AMInv59ySY7chJeNZhT7hbSKSXvCezlMsgfn8NdfulrHdwbqZqugjc Br4bqdnCoF+LXBGrR96rE//niPw0pzm+gvh/D+/lt7Lmy2voc+O7z2dsONae 8H3qczAn2H1HDlH39eS2CkyMv/s8JriXpHr7vldWxsLcgqwUVYe6KPQevzOy ejP+RnxPTBT0Jny3vZPVvu7CfpT49oE/Vta78ffjb7Ybv1X8zoXjXvSd6GuR wznlvibWjLq+D9tn8HeAGSloR3ju9fiZKmlXXUxsD1VU207sY/gbBvNNWTvX 3+gdkfZGHHZyFHLPI4/jYyX6Ufg/D77GcsL6znH8WEGY48j/AGvHDmE= "]], PolygonBox[CompressedData[" 1:eJwtlG9olXUUx4/Obdd5n93nuc/16l1FWJFg0IvoTYRQFklKVlLWfBG6LSFb G/Qi6UWRaGlFGlvtn2jlCG8UlrWRClqU/YEMjNSgd0rSJhE5HZES+vny3Ysf POc553zPOd/zZ1FH7+qe2RHRy5vDG69EjPGGsohh3q2liIMYjKLsySO+Kkes bIw4MTfinlrEPmy3NUXsRJ7A9tJC/Pj+ooDNgogp3vd878X/J/DGWyOeB68J +UOwPrgu4s5ixMtg9vHdnUTcMStiFjYXUvB4y7B9ifcZuo+x3dCCPzEvk88p cliLPNQc8XA14iRyO/IA8oPIXZl9hSns0bJjK4cxcmnP/L2U+PvQVfDfT/5b Gog/n1qKxh8EbwV4b1PP6wXX+ye1TqfOVfjPgf8O/in20/Mi1qH7D4wnm20j 2+3EWEKsF8mhjv1tNfP5JvFS9E9k1slmiPyuYr+B7zoYX2N/V26ueogxge/5 inujHk3yvZUcj2J7jBxvph8/Z+Z+Fz6LkYeK5kcxHkd3fEavHt2CfhiMveTy C/XdB/6ymr+V4w/ks54czzY4nxF0F8nvHHIFzF3I9bK5FKePgZ3x75O55jTn u8y7vdH8zgHrNXp+Ba6GwXugjVgLPDuaoWnyuTjT/9Xop+BypGg8+byK7wj5 bm5yzsq9BD/djfbXLN6NzYF59jlN7E7w/sB2Ifm+hzyZmL9xYp4idif85S3u 4bvoS6l7ox4uQR6jps+prZ8Y64m1pmx9O/rL5PdW6vl6A7x+8PbUPKuK2YWu X5hg/0tOB8h3EDlrcUzF7kxcq2qeSl2zZHG2s2wf+WoHzuCblJy7ajiReScU T5zsgatIPCvasffhYkfZWMJUrI7ctaimT/FfBN4Acg7eYeI3pO6VOBSXN6Xm WjHuJ/4ziWvXfOg2fIS+nvqG6JZsB3Mb7zSz8xtvZdW7pJ3S7q6ZmXfNpHZ3 kncO7GPIK9o885o1cTSAbmPqXbsemzbwG1N/iy/NyqGifVWzan+k6tlS/zWL 2kntpnrQV/MMaBY0w7v5XtXqXVVP1dvlVd8S5afd0c5r93XzRpG7qs5POzob Ls/T82/oxxH+vYLuxpJl8XmI2M3k9G3B+/k3tr/yxvgeRP87ui9bPTuaoR2p bWSrnd4CXgGb7wreV91W3Sj1Z5r8NrX5Jqh2cfgouoeqvo3iW7esN/ct0M5P JN5Z7a52+kLZN0DYivEP+D9mvi3D+DyL7701337NwJX5vvniQzexD/szFc+S 6jnLd3duX2EcoZ7NVXMjTsRNR+LcNZOazady+wrjhpJvmOoXZ3+BX8+sF2f/ t/pGaNe185lmPzHXwlcvDqaWNdNP555BzeIL4GziXQMfWQTT "]], PolygonBox[CompressedData[" 1:eJwtkssrhGEUxg8ZRsKYz5i1Epk/QQk7C4kptm6hNMzYsJOUXGIhGpcpVsaM sHFbuGykXMpIQyO3UmyELNhI+Z3eWTyd9zvnOc95zvt+ha1+b0+qiBQBGyhx iRSDmgKR2QyR1WyRKAhyri4wNeXYLJFOGtKIF9Rj4BycgVunSCO1e2Iz3CYw RO8BGs/U9x0ieyBAbwien9gGpxUMwzuE9wrvKV/kEVy5RTbtIr85aOcY7Tu0 R/JERkEX/fPkfJbRVf1JeibADBind5e+RzQfQAu8afjN2kf/HLAn9/mAFwde zqfMCFDrBTvkxtCZSuqq/iXeYuCG8za17FyRa3oa6I0TF/GxBEL0L4AyZgxQ y4S3ho859qxl31L29oB26kHqHZbxqX4/0T5G+8tt7kfvSTVV+8RpfJ4RLXq6 OTst8wb6FmHy5eQixDDfKyCL2YPkKi3jSb31gz6QSHpPsOsf2GJu3G3eQN9C 70HvI8x5JF1kmfgNz0ePA711PG04zC66Uz27zbPjOnPf4XXAS4EXgRN1mH9G /50Ky3iqIr4x74i5727z3+j/o77V/xj+PPBGiXXkX/DgdZk30LfQ2erBlbyL H2b+A09lcgY= "]]}]}, {RGBColor[0.8629038026182206, 0.7942862591902446, 0.6604742812853468], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFlnto1WUYx1/XRTc9Z7/fOWc7O0ZEVlgiaRfQiCRJKAnSGVkNgrkZdKNl RYbQH0KQNGelhpt2s/LathpublZkkmRqkJliQWUZW3N2cV6KvESfL98X+uPH ++w9z/35Pt93lzc0zXm8LITwKd8FfLeWQpg8IoTtuRDWFUJ4gR8XpCGk+RAW oXC6MoQX+cYj38HdyaoQ7h4ZwinO67H9rDyE1ktsI9sD2RA2Z0J4Ap/j0dmI zyXcv52E0IT9Mu4/Ri7n68H2UnwsTK1zCNvlRXwRa5CYK7F97uIQOjgPovcM OndWh/Ahf7+GvDT1b9JZNYY8ipZl9zL+n0anD58Lx4ZQS87D5NOCzlPcb+V+ SYz7HfLr+K+uCOFNzgfJs5k8+/BxoGQ/c9G9j2/RhdRHrxpq0OX+HLY9xFuJ vAn9tYn7sJ/7KfRl5ugQ9hK/M3HOp7n/Fx87qb2Mv+tyPmdn/Um+oeQeqVeP 5K0rG81pAjUs4Gynx/XIS5GPUdMQ+g/Rt2Zsz6MbLrKvaeSwhRxu4fynwrL8 zcDvYnTOc36Vc8/34W9uzrHuIpdZ2f9zzCW234yfDvrQhs5V2L4f5QbkNcjv oj+a2U2Js/6VPHdxvxadPfRpQ849vJ+7ScSbjnwc32cqjCXVOJz4/jFsH83b 9gv0T3A/kd8bub+CGFuJ9Tx46CbPm6nlHXxPRWcCGJhIrMl59+cw+uWVzk05 ak6a1+/Y9aPXjdzF/UDBPrelxoHw0Ijujfhpwc8v+DmKzjr8D3H+lfVMNdu6 iI1OchjmqyefNSXPv3mUMfd31B8GO2PIZ50WUdiJfduL3D7KcV/h79XM9Uni XkufzlR5LpqP+qRZqFf7CvYzm9/rI25/JM9vs8a2dmtEwbPWzHuzzkV7cIT7 t6jlZ85jWfdkReo5qee7U8fSbOrYn9uJsQL9HQXjRj5v4xzIuD+N/H4ldfXi 50tsW+nLs8jb8T2QdU0t9CQTa1fu57Peo43on43yYe6LFe6FMD0tb/4RD11W 6XktZu7LEteimlriLotvZlWbK8QZKxPLH6FTW2U/gyX3Wj3/hlnsKjrWbs5x kfd+QPdsleueHrFQinOZVHJe2jn5ks+bsNtAH5row3pmNLPavCH+OJIxDrWv myP+hZfRkW8PkltHxnut/db8NEfx0GDB/dyB/gx87Wce4xLzteb/cMZcIz/y 90lqDAvLn6e2lY/jRcuaTxt+ctTSyvle5Opu/C3Leb8aMt4xybrryhiHwuNQ jfH8atHz1tz/LPqdUN++Ru6MtfRi2x/nXksO2xLPTjMczJgf9CbsGes9EV/q LRHmriO3tGT8zK72nDSvCmw3xj4vwX93ud8j5aqZKYdi3lwmTjtaY94X/xfw 1zPGGBaW9cZIZ0PBfKn9KosYVc7KXTWollWR/3ZGjlpaMmaEnXty5tx7Oa/J mw/FkR/Evp3CNh9rUU1zCuaHEzljXZjXHuitEmYewLY/7pS4py9138RV5yIm J+Pnp4gr8dz3ETNXI/9WNAbEkaq7q9yxxTviH72f4lZx7PzU77QwsCljHEhe njiO8Casq8e1sc/iNeV/Muc3QPW242df6r3Wfq+OGJuHn/mJ9/mNkmem2WlX xCOaRSN5dcT7l9DdUu65Kpb2Vvs7L/X+Ka5mU1NyXSMT85T4aiq5/BF5rC31 J1nv86HIh3rz9X+HYmg2/wH9fVoL "]], PolygonBox[CompressedData[" 1:eJwtlFuI1HUUx8+urrrbzjgz/5mdHbce9EUTUbtASiRuSChRukalQWDjCmmQ WaEp+CAIPazdvKSCpkWbl9bL4mr6oCFKmStogb1kmIqWmbjeiNTEz5fv/+HA Ob9zP+d7fkOr86e/XRsRc6H+ULES0TYw4gMeE/g15YiOQRFTHoo4PiRiVTFi 6YCI99B/nIsYkETUQSczEaegKjSqxjEWYX8sH/ElgTvxuYxvGdsl/SI24P9v NuL5poiF8O/gsx3fJ8hZi3y0PuJJ+A1QqSFiVl3E9ULEbHI2IXdR0zFqq+as L0Drsd3eEvEf/BH8H0deTA13kMcSfyJyH/at1PM/9DLxbiG/i24P9i3ob2dd m2rMU+vhRteuHn6klxPQd+odn7+o91Yp4iV67cF/ELG+IEaZfG/i/9vgiPHE GA7/NT71yL1DPEvNby31tzGTz2rd3/Sie1bve7CZQC99Jc9SOW7Ct+ddv2re Tf6OinNpHivgH6u499ewv4f9TOyXYP808Xvo7RXk98k3H/+t+E9r8q4XIO9A HkYPv6T+d/Ffhr4H/Qr059F/U7CvYm6Bf6bFtWrmBXyXY78P+4+wuYT9HN4q Dd7ZRmq7Rw2b0vkOYzbPQcuorZO3U9T2eYq3BehXlr1j9aaZthPr1YJ3J4xM JdZVaDX8SHY0mvldKbtW1fAP/Azso84+L2C7nxgdNe7pAPwbOWNHGBLWzmbs L/1+6rlWdi/aeR/8OXJsJtd64u1CvzJn7ArDqxUvb17z3Ems77OebzczbSb+ vqx3rx7V64jE9Sjeo/CXm9279H/Dd2UcSzGnMtvJKZ40r0bw9EnO+9BOP4X/ M2Nsqt4fqOVA3rNQT3+ge4Qa9tYbP93ID1eMfb3V4z+HHO1QLXn6Qa0VY0E3 pFs6nOJfM7mI/+spnjSDbzO+IcXTH3Ajpw/FtWrHNUX/EforWon9LDQ349u8 T/93wFt33rPXTM6gu5BxLvVwCN3OgrGnnnfAd+U9O+3kYKNvSvPVH7UOfmxa v25kDPwJ4vVCZ/D9HbpZ8O0Jo8LqvMTz072/Bf8r+tPQJnSboVFFY02Yu8Iu f0rxqRu+hPxi1r0Ic8JekRhJ4pzKvaXo/X6IfWfRf4Rq081Nor6vCr5V9TiD 3rbmfS+ryHkE+9El705/wBj4aSXPV5hog28Y7L9G8gTyrs0ZP8LgOvjTWedW DSfJtS3j3WmHU5p8I7oVxb+O/Y10PrqPajoDzeI4773QwJyxrT9Kf1U18T60 v1mJ/0T9jcKEsDa72b2opyr8z2X/BZLvkntc4tlrB0/BPwDO2O/x "]], PolygonBox[{{4829, 4828, 3801, 648, 4493}, {4499, 660, 3822, 4869, 4870}, {4559, 4558, 5354, 1701, 3265}, {4867, 4866, 5166, 1578, 4152}, {6552, 2578, 6554, 5732, 5733}, {3223, 1661, 5267, 3310, 3311}, {4492, 668, 3830, 4883, 4884}, {4931, 1409, 4934, 4558, 4559}, {4811, 4810, 3796, 647, 4257}, {4930, 4929, 3851, 676, 4500}, {4519, 4518, 5315, 1683, 3253}, {3261, 1696, 5346, 4518, 4519}, {4258, 648, 3800, 4821, 4822}, {3311, 3310, 4771, 1339, 4770}}]}]}, {RGBColor[0.8583536243420372, 0.7463867251854454, 0.6072685068421205], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJw1llls1FUUxi8Fukxn6iydMn/GBeRFEhZBDUSxGhG1RoPFID4IGpQXE+EB YyIVTEw0UQu1CmlxidjEGKGtlKQNJIK0WpAtuAQ0RqnGuD/QgKCJtfj78l0f bs6Z8z/3nO+sd6avXrdsbUUIYT9nImd2ZQh3c37kx+pSCDNrQngUejIfwv2T QzhVF8IQZwOXyvUhrMtyD74Z2d/orUdnWiGEwXQIz2HvZC6EreUQ9mAnSUKY wPd/Ur6zYar5xzMhfBxtXoXOdmzWTAphG/bvKIbwPXiWQAexMR27rWDrAc+t 2OqFbsT+q3x7Blox2T5k/2ds9lSHcGRKCFcXjG0MWQkft8N/BL88bZubsbkX W0uQH0T+ELhbwNCH7AfOLcj3IR9GvgN5O7Hms753M35fmOgYn4fOxNdT6F8D bUuM4SgYbtNv7n5GvD21IcxIG/cWvn9R6fhnoPMkdwehlyY5jsfI4xB6jZMc u2gteRuBn504L3Ogo0X7rwLXQN4xTkH+edG1O45sPG8M7cRxlPyvR38b2H4C 09vIB5HvJ87F6PfnbXss5Tg/pB6b0XkJnekxn6r5idgb8nNPxvjuRXcT9GLK uRlF52F0zkIv5I19FTj/wtda4cReZdb4DzSQHzC9RV4+ILfpy+gldO4q2Lcw 7ML+yqztyN5+crmJPHXnbFfyLcS+Jmcc+9DZgbwW/nTe/arcjoN5ArZS5D9A L6StcwidTjC0gqEDegS9Z8FwExjmcZ6GrwDX78TfTo5+gx7MOYfD2NmVcf+s RPYE37Zh/zDy/ojzPeTvwj8CfwZffRnjvALMzbWOXb4bC/abwtd4nXtjGNkD ynNVCL+WfE89pP5ZFPWFV3ZWpG2rt2y+B7q0zr21Ar/LwNQEtuZ6xymfx+iL +oLz3ArO3ZzX4ZuwOQD/Jvwsvs8tum/nQKcm7n/Neje2XkTeCx2osY56+HTJ O+ESOE6VjFN41RdNcefcB+Y3qn1fdVIturKel+6YlwX83ovuv3xfGPmJ2Pku b8zHyc2xeFc1P1hwzi/g886Ce2kEvlRw752H3x3zozxpNjQjJ8DfmnjWXk58 R3ebuLc35mEEX+/EvpJP4dRMa64ezLm+XXnXqj3K/yhZpwVf8xPvoJ3wu+Ke 0b5RDlQ/1ePGrPfyfPCcjT3TAT0f511z30vtqsAwinxp0f32KfoXS96f2qM1 Wc/i5fh8JWv9tqz3rPbtubRnXftT894Z93AHdKzo3TOPuzvrHa9mRbVVjdV7 s2MN/6+H6JoGvxP6rh0/LbH+ldCtMc/ai+0Rj+LYU2sd9cw3de6JL+nJycxA C9huQH8BZyP8woJ3tGZtFfYaYk2/LjrvypVypjdNfSZ8m+MOUb+0xLdDb0h1 zM+f3B2JtVBN3p/iflRfa3cLcyV+Vmdt7xw6FxucnxyybzOel76c56wivkfK hXLSSeyH4jvyS8azpF7qz9mu7L+Wc693xx7YnsQ3Oev3SntZNdJ+1dwJdyrr 3C0qewdpFw3l3AfqB+0hzYZi13zrbdY8Li74PROeT3LeTZoX7dRMvXe7dvzc xO/QtYl7SD6VszPUpRr7Y9hZnnfdRpEfjvb1X+AApwudtrJroxpp/tRrwzEW xar50Yw0li2/PvE72RNnf1bi90XvzHB8K/Vmajcp53tyxiE8X5V8X3aug/4H SghGIA== "]], PolygonBox[CompressedData[" 1:eJwtlWto1nUUx09buzzb8zx7LnN7no3KFUGBtywYdFmBhhmEN8wKzRr2pkBf GEFaGkJBNVuaw6lFEfXC6bzmmlo6JZOmVGgUdHNhXtKgtWpvWtnn2/d5ceCc /7mf8z2/f0v7srlLyyJiNXQ1NLU+YmJlRH95RGsm4nhjxBn42pqIjmLEq0Xz bRhfQv9wLuKqiogxvj2VirgtH7ES+W3055AHiddFvDXEPp6N+GFcxPSqiOXY XI/tPr69ie272BxKkitl+Vn0U9DvJ/4q5BUUeTQdsZb8SXL1VkecR/4R/WPE vhv7M/CPQGXwV/CZhX5xxvaL+TaMrrou4nn4d9AfI/eT5Pu7xj2olz1824zu GeTAdiP+CeR7kT9EvyDn2EtQz4e/QH/nof34HYC2Q6vQPY39jdS/FZs2+JX4 LMx6RprVkQRzppf+tPVV6F8n19GsZ6cZVtQ5pmIP4fcTdFPetanG75FnMM+h Sufcx/w+a/RstDPtbktzxA18f4tvvchZcnSUe38TyP8v/uVlnsGKpojdpf61 j3P0tTHp+b6M3It8LT591L6nNqKGWLPTnp1mrtkfKdX/HvYXsb+Delej+xza C78w5f0vRW5A7qa+FnLMh6YSu7PZuVXDLmKV1RkLwkQf8gvINyeMnxb8B9Le jXa0iXr+pJ+X6O9F6I9x7kHx5N+PfyM5pldYX5lxTaptDTQD/pU6y6q5DXkK 9kcTntkY8Vqpbzu9L0ceZF7dRd/KWWgT/MUCflXWXybWpKJ3Lf/Rhoh51HN/ pW/sdvIfpqZDWWNIWOpJGlvayTL039HfHPJtYX/b2F9gU1PpepPEP5x2P+q/ G/uRnGuZic1cbG8pOrdmrFkPlvDx/01gP6fetrqPc8RqzHs32pFudWezsbMA /13wvc3mVZNq68wYu/fg00vuIvn20O8o8Zew69PYnIJqyZOE3sB+PbQB6oJu xf5YwhgSlu4i/tpyf2uDv5L026E3ZBb1jCTdq3ruI9+irG9LN6RbmoTNKWxf o+bN9PpXwbehGxktGMPCsua5Af4jfA5CjxOnHarKGBuKX6C256hhfcI3pFs6 wc47qo0BYWEgaawL8wP4j5Djd+gAsQ9Cn2T91shGtg/U+/Z0n4vIdajB+TSz JvLd2ezbEgaEhWl591+N/z/wPzPTsyljRtgRxoQ11XiZvF2NltchX0L+pWBe mPyS2QxnHFszmoy8ozQP3fj75Otp9i1qB7mMfeQ7j3l8kfNMNVu9ybup42TO Otk8iPxNwbWq5q/he3J+mxX/oawxJqwJf3rLP0A/rfQ+bkt5B9rFDvid0KOl /crmY3x/y9lfN6Rb0huj2WrGn2J7EvkEdJrcXxV8M9r1bGb6bdo7l6wddqO7 puhe9GYk6Hc4aTwLT3q778v71vQm6G24ruh/kd7A8fAzS3rd5BD68Xm/Tbof vXUH0r4NxVxH/CN5/xuEyQH4idQzAbqM3a9p34xuRzU9kfU/VnjRGzS56JvR 7Qizwu5Y2vn0JrbT7+km96qdbtWuisaabr4T/kLKs9I/sJX8/wE+ISSM "]], PolygonBox[CompressedData[" 1:eJwtkb8vQ2EUhl+K9IdW70Vi7WBoQkJC0o2EGzubbuy1iERE+AOIRPkDmLSN diGqLAxEW4u2q1TYWDCY2ni+fB2enPd+5z3vd+69sZW1xVS3pBHohdyQtN8D jnSGzoA3LDX7pAXqHc/38AwH+I7wVdBVuHSlOUIuqIdRKQ1fEekT0o71t+m9 hcmDiUFpE/8kdRq20FPUd3of8EjmMfeWqU/Mlx27j9nrlOwQeVl0c0AK4utC zzPvQT86BA3uXiI3jC6QmYcrdvA4K7rWa2Za4Cfjlawk9yxDnv4svhIZ4nwD Hcd3bnqdfcxeCc626fnxtJgp+jhjvzHuHIdr5mfoZ12bm+zMm5xRZtfptSP2 u5rvu8rPiAekXfIeXPueJ+S94KnBDZ4S7Dn2X92i68zUIMjMDnkN9C+k0H/M fKN/4B9XXkum "]]}]}, {RGBColor[0.833500522273859, 0.6756448690619683, 0.5525384968331916], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtVm1MlWUYfoA4nAPn4z3veeG8L2cZR9paBZpW68Nq9AMhm1OxpYWt/KA2 a9mfNldu1aqJ/EicRU0S3Vhr6BTKSYCo6FA3h+uHWZlKYKwU2jIrcCug69r1 /Hh23+/93M/9XPfn82bXbap7PdcYcxkrD+tU0ph2CMIJfGDtBf81ZAUJyXf6 xtyTMuYdbH8L2hwx5rciY+7MMWbMNWYt5F2gJdi7C7I1MWNm4rJzMCnda1gX cFkNdLLQOQR6vMSYiQJjBkv0Tfki0NNYl/KNaUkIEzGchZ2iKPiQMbtvM+Y6 7P1qbWY9Y8ohLwN9EusJ8FWgD2eEpx54RmBnI3Sfgu3Pw8Y40NmWK3/o1x74 uDkpn0I4uypfNttxZtierYbuo44xveBXQmce9itC+p6P77vB3wvaDFvLEaN+ X/cQJ+8aLxJuYl6TVNw6ELcs8NQjDg/g7ulC8QvAPxsTniHorLL8NO6vhf/P QGcr7KyIKW4juKsroniuN8JHXH/g7FbsteFMP+7swipEHLdnlCfGpyylGJHP wf4G8JXgg8CYV2PC8hzs1Nm7wpBXwYYfld5y3FULP5d58pfxp49TyGsCvn1a akxDUrq0zVoYt3HoAeYp+NwIfjP0boF/GTpOWLHg3YvzpcPzjKVj7dfkS59n h4qBFfQyfC13lLdq4GnD9yj0a7Ff6Chmc4B/V1h1wLyU4fsb4LgjkE3y1BtD 3pvAX4WNPqz3ENcKxG0b5PMhfw2y/WnZuIR63+Cr5mfBzw3kWxb0XejPhb2T wDMGLB9GhLUCewPgk8D1ZVT1wH6qDsRTVhkoBswDa20kT3l9q1R1MgO/3oeN VxCHFuz/EohvAs7WjOptC2iRozhNQr8jqhoZQH5edGTzbFo5jBXqm3ljDnj3 9kDyj0BDjuosHcg3+lgeSJ++zMlRrihnvthX7K//cOdN8J9B/hfoV7ivDWc6 Qcfz1AOsf/pUbvkJX7NmwuahMaI+/NlVfw6DViKmDeCnXdXJ7SH5yTwxXzOs U0+4/obOx7Y32aNLEJvVOPNmrnAQTw186QW/Bf2yHjV7Efu7oP82bH6PMx+A /wH0oq88/sgeTwtzHfL+dLHm0xGcjRSqzliLk77s/OPLH/p1Dfy/WLvZAwn1 FfuLPX2rRPF/HDb3AX8j/OoAbY1In/XEejgYVr4GovJ3EPcOFwtvO/r6WFTx P5zULGZ9csavdBXjN9jfKWEeBe+H5DPPs2fYOw3AuDZQrEZwrieqWlsC2QVf 9fedr/omrmqcG/Kkc84TbuLfD3oK51fAzhlXM52z/QzkBUk71yD/Avab6Jsn TMTWh/0DadUz63on6jAM+WHo98WVw3rodKQV8/Poj6OcxbBzCPY+sfo8t8OR Ps91wdZq7HeCjsU0Jx9EPM7HhfM07IcsNmIc9VWHw6CDKcWJ8Z5Nqac5h1rs Xd3Akk0pJpwBPa7qqjMm/1jDrI3F9v3iOzbjqp5/j8sf4uwFf5+nfC/wNIvZ lxthpzTQzD+Geul21dc34c8VW5+sU/Yje4N9wXeDM47zjb1SY+XXE5qrYdh/ yNFbthB8saeaKAF9AfIa8Es9vYXsRb6rJ+Oy3+vqPePsuhFVzHgP64x5Y5w5 v48mFWe+S6zfWjvXpnzV9yMZ+c84sL8Hkqpt1vhQqfr2HGi/ze8RT/Omyr5H fN8W2rrne8l3k2873za+cc/H1MecxcwZMY5bnIscvev3e5odvLcbtNXOzE7G 31FvNwX6ppwz9YT9n+F/Dd8DvgsH4MtPludb0VKqWbQUGJYVC8OsxUvc7Lc9 Gf3r7MhIj/qcYZzpnO1Xce8NVzHj/I5hz8W5KOhxG1vW8kBKvXwipZpj7a3D /pW4epk9vcmR7/uiWuQfy6h2WcN/QtZs8RAX327+z3F+vZSUTc7LSfvWz4PN /wFwnnDv "]], PolygonBox[CompressedData[" 1:eJwtlW1M1XUUx48QFy5P94EL93+5y0DaWgs0ra0sbfoCUStLc2Vrs7KozR7s TVsTm2vVIl4kLLGydG2uFzVF9IWGIaKALqdtZQ9ahGAuNNuyZsAWSJ/vzv/F 2f+c/3l+/FWv27Dq5RwzawZuAOalzG6NmHXlmt0TN9uSNSssNtsMr4dvX4XZ Ir5fRs1mZcwmy8xeQHY9MBQzW1hqFi8wiwHjyD5XYjZRaNaQZ3YoabYuYbYJ R4uhu5GdDG3P47sDX21AkXBk7i8368XGM/Cv5JsdBd9OTB8B7cS5Dfig0n3N nAEN3o5+UOwxKtbr2HgC3WpkVuKvhZijxLOLeGuw80UamwX+73HoJ4lvLXAY 2R7g/QBZCvQw+W4F3xraVzyV2FpNTkuJ9U78PwJeRT1uAf8Y+Qnkz1S6/Xex 8TP2FqD/B77fAQrxN0Z8zbleo9eQ3YV+E/QsYDP1XFLu9HbsjWGvA/3fi8zW EEMn+N6s45f5t4dc/g1c9hz17cXW+Zj3Rj2ahl5PP+bO8JpsxN+erMcmm7I9 jvyOqMc/jq1G5Ffne46RhPdIvRphRnbCf135oHsJaAKP0JObsT8KvRG6i5os IZY6/jWi34TPqUKfkQn6k8k4TzVVbfsrvLai1csOctqJ7KvE2Bb3mqg2ivE/ /E+F/ZVN2X4I/0uJrQOdUepdk/FZVY2L0D+H/FkgoBYZYIj4HiO+FnQ+w+co +ruUG/keId75cd8F7cQcePv592mO578MO9OlTv+CjePYO47MAHAMuT7gb2wW hPO+F1/tMe9NgH45ckeK3Z9mvpV8Z2d8ntWjOvD6cs9XM6BZ6Cr1WqzBxgj2 ptG7iP5b5Pgj9VhIDAuAr5E9CQwnXXY5/ThFfb6BPg18C++7cs9BuWjHO4l3 Cl5jnud7F7n/lfT8h4Gr4EP4aMZXC3CRXL4ih1ZkP4T+B153wmunnJTbbeE9 kc1J9I8Sf2+p77B2uQp+TcR7MMj/vlK/FTfyL5tyEK4ZOgZvPzb2JX1HtavF 8JPwV8I/A38udC30bODeuN8c2dMMa5ZPJF1WOn8S/yLk7wOPA5djfpPUK/Ws Hf2ecB47yS8iewm/TcpPs3IQ+gBQS83rgHz+/ZDrNheD52IzJ+Yykq1PhbdH OYEXpNz3J/R8N7N+Lem3rIF/K1I+M4pHN/Mp9E9Xei81A51pnzHNWh4+IsB7 zExJoe/AWuK9EHivdAN0C86H/auWD+L9KfDZ0X3QLT+Z9l7LxhZsXYLfGvWd frTEd0q7pRrfTnwVKZ9lzWc/+i8iPyfqNzMff8uxsQ3+89j7DfxazGdFM3MY 3YaM7/fT3Ph68E1Zv2W6KbotZ7H3dtRnfAWz2h34LX4D+UPgbSEtfwPUYTjw 3JTjCPj3wJtRj+EU/tIZ76XelAPUdlmZ10byqs38rN8+3fC7s37DRWsHq5Ed DLxWiulX8AsZz00+BsntjpTPnnZGt+NEymNTTV5C/mqx56qcddvUQ/VS9L60 z4BmQW+G3ia9WXq79GZswN7ucH7E/xx+R8pvl/6Jl0CmN+o3ZIzZbQx8v3Wj ngV/oMTnSzK1xL5KN7IgvKHU98GUz55kJNuf8Fqrxqq1brxuvWbiCvTMjL9l B6GrwF8p8bdQNuNpfwP0FmgntBs3ZVxWO6ldHyjz26n4rkP/D7nTNsA= "]], PolygonBox[CompressedData[" 1:eJwtkc8rw3EYx9/GFrUNM5pyWVZKJAcnnDn5scskFMsR/4CSXPy4oLaUODmZ gx9NK6btsGUyRSnLJOXohDlJXp++O7z6vj/P83zez/N5vv6ZheC8TVIL2OHK LSUh7pGqq6RonfRRK3kckssr5YnfwUa9tA4xYqvkDpzSEHoAPcmdEjU/sE3N FuTJRcklnFbc5KeoGyQ2Qu6Cmj36dTdINvpVQjPaB18+aadG+iZ2xL0YvMEY A7+4rd5mhkN8SsbfzNIovRMb5ntNPAc36Bz04umvkIIu6YHzPdziFyAWIhYg 3wppKNAjQt9f8rPoP4/1HvOuc/oss7MUOoN/FsLoRd6RoC7FbGkocn+F+R95 Rx+e/RAl9oxfptzL9DzmzjR+E3icoE/BQZ0desjv45sk14nugDh6ifp2dJE+ Ifxey/sxezJ7MPvIokdNL4+1B7OPOWbpYqY1vKOcI/BJbRi/Xb5nsMn+Lr3W fzb/e5zdtLGjJvo9sbMC/AO0Y1kw "]]}]}, {RGBColor[0.8053236367487602, 0.6020352621923704, 0.49852480397078697`], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtlnuQ1mMUxx9q391tL79338vu++7+gUozalBjxqWLXEttYlYmakaUGg0S MonGbYZUGEIGQ6TJMka3odSWaKthZMymi2wXXRRqBjWVLvL5+j5//OY5v/Oc 8z2X55zzPOeNfqBpwtkhhIqzQujA+mlFCNeWhjCVnw35EPpCD6sKoXd1CAc7 hlBdF8LMmhAmILukMoQ7iyFsKg+hkfXR+hBuRf4oein++yN/KB3CWPQvAn95 JoTylDEngH+iYFvbkH+5IYSnwPwSzAXwdyM3GH6+wjh/o38lWAewNQbsYwX7 eCzBBhhn2G/lexv9J9CdnQvh9QbvtdaG8BXfQejVrKsUAzILkenGtxycvmBf 3uD4r2BNIzMQuxPxfV6l41XcT2JvfUkIH2RDWInuFHSPwHsYf3rh2wOsK5Gb S1JT8DsX7cMa7D5OfjrCP01cs7E3GXpVtXOnHO5jbcHuvDJ8Yv2i3PlUbIPY 28j/ANal4L+Pbgfw+6Ttfy/Fgk+P4NtM8BuJY2SJbSwBawT0zmrzron8tRnH dZT4mvlGQ69AdihYdyFzhP35EVPYs7A7CZlTGX+ieyA7vmjcX+GdDb0N+mvk X8e/nvjWFbohZcxZ2D1Q7fV8dBdkbPcv7LfDnwH/XPjbI/0J+zugZ0LfAPbJ gvOvc1B+lec1+LUYG1PhX5p1Pamu2ll3xZjl40Bw26BfQm8Vcl3w7WnoL7LG l5395ZaZEc9GeRoF/rqYhzPw3iLnU+B/Bf0dZ3oBOLvw84XE9EMF+y0MxfRM YluyeRH4r6Xs9yD82Qp/JHid4V2d8v+lpa4T1fxu9D+gHjZhZ0fRudJZXYfu VeqRnOtA9bCixvWnOjyPGn6Ts3wR3VbWiej/2SmE26jnZvYGYGcWskOrbK+V XLUk5q+E3wTGuxX+b1L/I/Nt3vymSue6f8qYW5DpUONeOAzGsjr7PAWc24lt M/yP4d0G3QZdUXTulMMx6N0B/gDwd4J/NOM6UQ32AH98J9f3sVrnox96I9K2 +SPywyNmCfL/QE+CPoQPv5b7LHUGmhn619moD9WPmg2V+NEM/yz0mircX6qD Ux3d+wH6eWTuR28PmAuJYQ5xbSCXe/BjPvRE9uejd6iT/fiZmJ/jf3rRfaX+ 0vxQruTz5viJfoivR7lnnc7vloxtD8s4R8JTfMKeXu5/zUfNyRbyNiDnmrk+ 5/mlPI0qOtey8QlrqsazVzNYNSY/tNc747n6B3rLKt3L6u9vNEfYH5p3H6ge lUPVWudYn6XIJNCPkcPOZc6V6vUdYh+Jn++zbkx7bjWSp0H19vk0dj5scP18 xPpulH+nwX2rmloKvRq/m8Hdgt49yOzB1pC87w/FMq7K/snPrewfr7V9zdfn +B8I5iLWNVnPIs2kG/PGEZ7qQ3USiPcn+NdQDyPA/Je9OegeZ/+KtOvvEmKd Ab8R/meJfVcPqC+ELXnNuK/j/bKuzn3zYJR5r+De1wyYlrj/74V3JvFMLIK/ LdaMakfzXraUuyXIDILu2uAcKVenKt23wla/domzYwYxvhb79lXW7XzToNtZ f6p3PpXXm+NsV5+pfnXXqA8XFnxGOivND9W5emFZPC+dmzA0T3S/rio4xhWs izO+UxZmXE+qK93/6mnNat3Tum+bo+7+OP9vwpeD8SzWozukwj7Jn3b44+Hv LvrdMbjcZz+k2n15otZzS/Wns1+X81z9vNL1eE6Z5ZTXPqXu4cMlXrvF3lAf lKHXGuukNue7QXW/DF5Nzn2qeVOR9n3cBX96ZjyL+uLL1bEX1BONeffyK+Tq bvLSHfmxrCHtGTGt6LtQ9TIbO/2yjlGxLo/5bGF9NvFcGAc9veAaUC2orkXr 7lgUZ5Fm0to6v33q8aeqzrFXsiZFv7X0jpuL/l7i+iHrM3gx5llvEeWvqdr3 hPhbNd/im2Qw69wyz3PdhXuL9nl74nePZn4RzDNZv+12Js67zkzndVnGtN6P pYl7/D5i2lzvmtBbbDi91x8/2/KOQbG0gzc449o5qvwkPr9d8L/PuGZUO//P X3xbCc718Y00sOh6US/JB/mu95D875AzjvAUq2pOeZis90uJ5/C5Da59vQvy OZ+X3jKHY7wnOc/fEs/vq9j/PdLpnGei6iGltyHzZRqxt1Q5HsXVhm7PnOtf faD7TXNG87ctax/mgdc9a58uZN2X+L1cXTSe8GXvzhq/B/SGujjel5pbqgvd Z4phdr3f0G+wTk9c+5rxkukV70Sdmc5uN+eyL+O3ot6Mql+9eTS/dP/rrtTZ XxvfHnqDqLc0Z9RXilP+dYK/N/q8A8ylda6hnfj/S8F32a6C7zPRktNbQeek 985/DgTNKg== "]], PolygonBox[CompressedData[" 1:eJwtlmlslFUUhi8UutDpTKfMtDOdH1BQEkERQuIGyBYoq0vBBEVlExKiIiIG SIzRH7IUTVBJjRpBCkFIjGwKZakLFEwUQUHWCFQKiAYSV4qA4PPm/X58yTnf Ofes7zn3Vk15rmZm2xDCTr52fBNKQziWF8LB9iFUp0L4ojyEpjYhXCwI4Svo 2ZkQbkPeuyiEF6Cnl4TQE/kjyOdVhtAvHsKf8AMwdl8ZdpMhvILdavQXov8M 30vY7oaNxQl8ZUw/y3cc+t5cCJ8UowPfCh+rCKFTIeex1x5bdZzphexFbOzt SJylju8m3yHoywmfHUI8Vzn/TZo4oGfwrz/6Y4m3L/wC4jmBvCrrs5f41wX6 Uqljr8wP4Qa2pvDvPLoX+O5HNo7z/dAtkhx7+9K2J/4m/GecGVXkevyDLM75 mXk+k4BujeL7mviv4f9MxmelcxZZ/6h+7WjKFeq9A/nz2FtFTX5AvoT63Ch2 Pmex14EeLSTe2fC/If+y3L2a1iGEdbEQviems/h6HBu7kY8pcX5pbNTRr+3U dzX1XcPXgu9WejYZ/ZzyQX8z/GD4CXzNyCeUuLbq0T3EchV/oa17VIKtLP7m E8tgdI6T/+Ksa63+LoJurLCv0Zw/gP8EfBf4u9B/ANsjOXMG3z048xr+z5fZ 9yj096N/B/bnwq/E51bw0ET+y9DvKXyhf5DzA7A1B3/7y9wD9WIk8k+Rb0B/ Sb7r00w8qzq6F0PROYVuSPqsbByCX5QwPoXZTehupqYzg3NsxNaouPGjntfS q3bo1xPbCPjF8LVRvw7Dt+DvnUrXXj1upXY9onzUo3rO1mHzZeKbj433Sh2z Yr9Iz+4mn2Ocf4N6reU7Dv0q8q7RPKzBVk3c2NG8lFLbbyP8r8FGwN7CrOmD nBkPfx5+BrWYg/hjcptGzN2LbHM4Z6dn3AvVuw2+ns641spRuQ4l3kHE24Wv a6lnRrMjDAlL2yJ8TcH+JGp7Gn/1EX8KeknasWuma6Grct4tS7DfGfpc1rVT DYX978h5RaF30D7owfgfEPnvBF2V8v5STMOg38wZT33IbQX0Yc6sKnQMW4lt PJj7vYNtyNbD8Jc6uEaF+G6mpn9F+0pYmEgOc9t6JjaRXzblWXmLfxeo/XX8 TCjyvK2gVj+S09E8+5hV6Rqr1sppEvb/i3k/Kr7lxBevcK81U6Pj3jHaD9ox 2l0DU571BP8GQeenTGsHzCO2t/FZU2S8FiTcQ/VSMS3PeAcoNvEfwO/C/okI /0+UOGflLszUwB+I9ocw2h26DT1eG8mFrZMJ7yL9i2WNEWHlPPoHO7qn6u0K 9RB/qxOWyZ6wf63Us6SZaoW+krCuYtqt2SzzPEq+B/pM1v6EB83W8Kyxcogz I6A7U4/atsaAsNCIz2F53qGfZ3wHVUf4baRePVLuRw9qeGfKPVN9lLNyX5lx rVTDDzO+gzRb2lnaXbNKzF/nG0t8GyP76ukG6Ga+xUXGlLClO067cCH/TmaM WWF3IN8Q6J8ylqnfulu25tzLGvDRAJ1Jeb60w7XLT2V8d8jHz9DlKddONU9D b4j292PaMdAPpoxVzedD0LdG/Hb0u0HfwE9Lvu+b2/G3I+l+aoZGpb0jhRX5 aKI+BUljVW+A/KQxJLl2aj3yho5+S/xCfP3pbyE+juQZw7/S66a0d7/2YS/i 21Lh2dSM1aG/lJyWFxvTy6DXR/tbO/L9mO9ExaqYx2BrdNq07gTdDZr5PtGM Lc15xsQrn/XY6wpmthV5h+stMDXru1775XXt3mj/CCMNnGuf8u5Uzc8hnxy9 D4S5k8zr5ei+kc1i4i+N5lU7IAk9LGusTgEPJ6HX5dxbYXQt9M7ovlfOyn1H hXelduhO6KlJ3w3itVv/iFmumql26/lqir0jN0L/Hd3nwoywI5/yLTycK/Mb QXehaqra7k56NlS/vfBbYqZVU2HjNPkNK/AbZiTnj6Z912uG8zhbmzWe1eNH yb9PyrMlfPWFn5g1rTtHd48wqVgU00cx3/G667WjGyr8RtBbQXfeu/Cn49YX pvU2uRn3/aE76ynqNa7MsyhMCpuyKduq+VD8tSQ8f9rpeSljUthUD/XWO1rp u1X1OAI9MuXZ1D4ZkfKbQfXSG2tXuXeWdpN21L/Q1VF/1QP1QjMkfKqn24mv d8r5a+Z6QTeV++2pN6ze2nsrbFv8HujmMmNR8Qlrt+T8ttCOWZDxjGnW1JMn mb3/AaRbrsA= "]], PolygonBox[{{5587, 1855, 3415, 4349, 4350}, {4350, 4349, 4472, 1159, 4473}, {5596, 1859, 3419, 4353, 4354}, {4354, 4353, 3418, 1858, 5591}}]}]}, {RGBColor[0.7621281641042745, 0.5154676618266463, 0.4477478055590335], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFl3mM1dUVxy/Mzrz3fm/eMu/35qVBZdFoa4QWpS7NgDtqWxw0GINaQMVa BwYwoUaTal1QcUk0KkKtLFMUNCKCoKBJgZq6I6AWU2VziIpga9I6gmI/33xv 0j9ezvmde+65537v2d7Rk6df3D0whHDKgBDqoE82h/B9SwhL+Sg1hjBoUAg3 wk9oDWEK/H0of1z1+jnQje0hPIhsV9XrU/n1spathFDA1qF2r0lnZSmErmhH OrekIYzmrDnQpBDC2/UhvAX/RTmEW1nfB70iG8Jx+La4iA+ZED5gb3tTCM+h dy17n6iFcFSzz/o3en/j3BXwr0Efqll/YkcIJ7B/NDaXJiFMijY3InsGm33Y 2YePC/BtE/pd6L2AP/PweWeO81ptfzB7mlhf1mL/Qt70Tfx8Cbtnwe/G5pP4 NgmdRdBNyC9CvgX5ktQ+LEG2nF+n7CC7oiGEG1qM0Wx8+xU4tLV5fTnnPoB8 GfTpyHejczY6P3D+kbz5bfhwEL4T/ivo4/g8jf2dnDc3NV3FmStTy59PbXsM /M9Zuy01vyIxpsL2e7AZiB/nYPOf2D8qY/lQ9FejNwb6H+SDqsakpWqcivEt ruX7FnS+RTepGL8G7HVjZ3rG7/in1PgIp2M5tx87N7Hvz/g/E34za2cRh2P5 7ajzeyoOxrO2Bv3R+LYa2pWxXDZluyvyd6bGYqjihN9j8EdDM9jbVuc3Kzca t2HRP/mZwd+TiIHPkG/mjvURh+lgPwPbPdH+NrA+AfnWvGXdUb6uZn4tdANv /x5vvBbaHu9xfJ19n4rO5XWmV2d8X917auQXNTsnFYsJuCxnLQe9DHvbY55e z/cBvTU+3Mt508CoD9kZfG9gfR3n/iLyk5FfVXXMK/YPQr/kN4K1XKPt3wa/ seJ4+yv0/KrPOg/6Xbvft5O8OA4smoVx2Vi2sv8YsJtBvnUi3152rPXHOPyO t3hCcQW9uer7nYdfC9GroX8q9hqQ96LTBJ1ddWz2JvZRdxQOh9i/EP6/yD9K fWZX1jmkPFEevdvhva9UXM+GNhqrn9UcO1vZN7jkNx8LfRs8v25wPCgW5L/W 3ge7+7E3E19+mXVsKJYvzLnu5OA3FR3n/fjzA78/wH9D7AwsOc7mcdaRKD/A feuQZ5HvVV7AF+Fz0F2tjnvhcqToe03gzAxnN6HzMfrvJY6X9dgcmncd3c9Z w9k/HJ1h0E3gOQr/N0Iv63DOqBa+U3Tu/jFxXEtH91HcKqZvyFimeif5FvBo bHLcTIg5JeyWll0jn8XeDn7D4O/E5usNfkfl86OJY+pm/Nxf71qhmvBOh+X7 Cr6r7iybR9BrZe89ZesXm7xnTN4x+jswWF1xPqyBvlF0L9rNOyxOXFdV4xUH wk34Tcy7Xt9VdR/Tm6qXPVT+f10cVfB5J0MfKMf6nLoPqR/lC65HiuHhNce5 3k5xch06P0H+29T5qrzV29yXOL/X48OrqeWvQO9IjP84zvkxsllRXzb0LRxH xvryEmfdlVi2ueS3+Kn0+O7B1kj4GdBZqeUzoc+B5ZIW97YNYNQLVuuh9erX yrvE8SK5YnpvzvRldC5pde6ov2xrsH2d9fs29xf1GdmWHcX6J7Hf74SOA6Nv 0NlZdm4rx6dVHftnxDqrundmrH3nllzPL8/7W7zw2ll0Dn4CLZS8pxt7bSXP IvmS9VWvlZttjZbrTXsafH/dfVjN8ak43R1jTDmlfndpq++4o8P8P6Av1Fx7 V9Xc/xfE3jk4Y1626mL9/xCbn1ZdY1VrH685Nw8rX2uOScXmmbG2qMaMjfzE rDHTDCS98Rn3VNmfi81m1u6uOu40E6iOqaZqHlBMvxnnogHgdkzJNW1IyRi3 RpyFcTnirLuMj/aXFZ2fvalzTLl2b9k21EuWxt6gXFffEB6KafWo3iZjLZyV Q6qP4v+V+I30Vpq55Ld8Vu1TrVPNWxt734vQzzlvMnx/wXdSn9G9DpTND8x7 jlG8BfAeyZ6b0H8Y2YjYi0cTs6fCH4Q/HX5dxfVEdeWLxH4OKvkeOldxNb/m c78txPm02XmgGU2YqF6t4Kw58CdC+wrGQ3Ou8JLOU8i3Rp0BnHNpxjGgt7+o 7DxWbV4ZfZbvT8W55Gnor5vcX3XPV7PG9Mp2z0+qc2sS543eRfnVw9lf831j 1W+ot9Ts9XnBvqv278q5H2pWrU987vWp/ZOf18D3JT63AUwuiHl6Lvu2x7nl kbJnX80DV1Y9s/TEXqC6o/pzITpz+f1dccK9ZtWcV7OhpxVc10/LeUZX/mm+ 1pylOqIasrfgGHsMfz7ocK35sMM5I/z2lx0TeiO91Yqa8X2m5tld/WsU/J5Y H1QnZkV8hJPsyv4exUXBuXMA+peifb5VcVjxf5j3sXcP+oe5+wU557fyvD/W Y8W73lJ5OT7Ou8JIWJ3Evb5MHf+atfckrnHq86oLqg+al9UzFXuKwWzVsa65 /vySZ9lxJfcb9Z3TofMrnlU0s5xcsg+abXuj/8JetSEbc/yUgmNGM/insYZr TlHPPBx77Zz432pIzfOxbO7B57mJZ51d6P8m67j8Cvt9ZefsZ9AfFV1PD2F7 VdH62qdZb0t8U8WRdPTet8e+pvni7tRxqHg8MebLg9ic1O6acVCzR85vXS0Z f2Gvejsvsf0pYFZkraL6Dv0feDrx/w== "]], PolygonBox[CompressedData[" 1:eJwtl3lsVFUUxi9Mt2npzLSv085jYkCg4JqIilZFLYqyueOCGlFBBVzYSdRI Iqi4BMWIESW407BpRBBZRQUU+YNEAUFFWYo1CBZcEmUp6u/LN3/c5Jx37rln ued897yTh425YXT7EMJ2VhHrrMoQToc4zrqhOoT74xB+S4ZwiNUnE8K6bAi9 SkPYj7wn8hvZ36VdCFMTIWxGtp/1OPSw4hB+hb4/F8KZ6Nbz7fsohIE1IfQt gYbvCz2/Qwj3lIcwnLULWx+yfyT7Z1eEMA26GZsN2JrAt63pEBLseRf6A+Rt 8N3y3tvIeUvht3UMYTB8E/yv+Ncf/Q3Q92JnKXtX1yErs03ZrkfeHX92ojMO +QD015fbh8XY7458JPzN7F2E/FTirSD+N5C3IV/Ot9HIHmKdR3zfon8jZz1P UptTIeyAvwl+Bvxn2B6Jzhno3o5PV5Of3bFjl85y5A0p5/YQ6wL8P4L9f1hH WcdYJ2PvVfaegf4YzlqLzrwy29iOrd3oT8fWW3xbiuxgtXPxAt9+RnYn9lqS jrc3542PLfuTbxOgi7iTFPm4jhjvJtau8N3gTyAfxP4laef6CHwPfPkEGxck rD8W/RT7I/Zfgf+j0R+Uci2pprZmfIbOkn9L0L0FvoT45/GtAv1+7P+HvXPg jxLfT9grLfEd/Ix8L3wF/MWsS7H1Ijl8mFprwIcZ0LdxXjl7a5BXId/H/kro Mr49g/4q+L4Jf0sgXwbfJ2Efn8NeB3zqRD1X418l9DTOLCt1vp+E3hQ5v634 9wDnNWZMq0fUK18jvzphf97h7Gmx41NOldtLia+2wj20nvPqa1x/6pf9yHZn Hf8p+DCU/PVOuRZUE2dxl9PlY4ljWJl2zan2NqO/BPrjvPmxrLPRb4mdu43Y HATdk28Rtg9yXi/OG815tZx3Guc9z3nNfLu12HfeBd9a4YfCb2Z/GnotNnbA b2JNVb/hb2Opc67crydnC8ldI/lYiHxXyudtZa1Et3e1bf9BfBdBT8TfvRXu 0cfwb0ShP4QZo6AfYD1abPx4mvOG4H99O9scS73fl/P9d0P+FPIkPlfhexPy tZXGMN2tYlbsPVgl0F+jswx//kKnjv1XsidRFUKmplA7rAPIqvh2bZFrTrV3 mJWFvpzVn72r6tw/wpQ10BuyvivV0DXYOkxOGousI13VkGrpbOIbh++ziL9z B/v/JPKxOcuUrxnwD8bG3p7IZ8GvjnxX3yBfo/uOTCsmxaaeV2/NZU8LsX9a wIeHOGMz+svg3y5zDauWWzPG6ybkJdg6wZ65SWOssHZd5FoU3x7+F/yfknC/ lsMfZf/khHWK4JOxZap51f7TrNJy64SMMUJYoZztozbeTbtX1DPfYGtm2vX1 FaspMiYLq4RZQ9E9nDU26b1phQ5VxhphTiu6v1Q7V+rHUbExUvk+R/gGPT9y 7cqGbN1Z61qZxJ47al2jyr0wtnPeZ+gs5WtPypil/CqHH0GnWJ3LXM8Xpnxn 0lfN78OXo9XubfW43ppJhfiFmROh/04b69TzA9UbWeOd8nUAejny34uNn9vQ /zEyr37smPKborflZvz9nn5YmXfv1xLTZM7vnjdWd+LbK9Dvoz844ZpT7X3X 0brq2Q11rmnVtjDhd2wfrzUWCrOEXccKvGK+Cj5TbV/kk3y9HR8vK/EbP4Cz Xki7XvWtH/zelN9GvdF6q9cgfxP6enx8ifvZydqa8EzxA/TeyFj3J+c3Q++K TAvvPoRuw97xwhupt3JI3lgnzNPbrT3aK0wUNqrn1fvC9FPolyV5zwaaMc6r MUZuLNTbXbFnFM0qwpzLoYfH1l/Dt0syfrNU76rxIfDtMr473WEHZO/lPTuI nw39OTleUOaeVG8OLbzHsinft+Sciz3w4/O+Y+V3Efu/YP8ivVdJ35ew9kih /zST/ItuU9q1pT1T4Q+lXdvCoN/gu3JmQ9J30AW6F2t7uW2em/cdiB6Mz/Ph x1QaG4WREfHviFxvimEd9p9IG7uEwYuQvY3+HUn38+s515xqTzVXD72ncB+6 U73Fi/WGt3c+NMtsybjWVU+qddWwalk+3kq9TEv7LdCbsBh5I/mJylyTqtWr spbrDdGsdVHKvak9bciPwY8rdr8NonYvJL58qTFhXmQMku/6NidrzBP2Kcfr I/eIcq8cv6Z5LvYsKPkI6AV5524Max70l3W+O8W4rtYzi2YXveHNaWOG/NMM cj7+zC3gofK5BXsvZx2rZq6ZWdeEakNv5gTo9hljod6oSmFtbCwXprdkPYPq rnXnj5CPKWljq/BPb3lxYd4TXmsW64/+tqTxS2/3isi1rh5WLz8be5ZSj6pX 9abobdGMcAj/r4z99uiMAbFndM3qyvlJkWcG5Vo18hb6cY3xUf7+p/ct59l4 PPK10CfI44ikZ3LN5ksL86dy8izy8Tlju3pyOrLHcsZ/xTs5538G/TuoHjRb TMl5NlENq5ZT+Lgw6Ry0pP0Po3zqWzp2zhoK7++KOs/Meo+E593xfWDW9S8f P8j5znX3+idYofk451iEccK6/wH8E9sc "]], PolygonBox[{{3517, 3516, 5130, 1553, 5129}, {5595, 5594, 5596, 1094, 4356}, {4351, 1093, 4473, 3516, 3517}, {4903, 4902, 5515, 1803, 3369}, {4346, 4345, 4077, 1555, 5135}, {5140, 1559, 4083, 4347, 4348}, {4332, 4331, 6406, 2469, 6405}, {4665, 1262, 4666, 4331, 4332}, {5028, 1480, 5030, 4902, 4903}, {6393, 2460, 6394, 5594, 5595}}]}]}, {RGBColor[0.7180002754985471, 0.4292504212536443, 0.39702814095127326`], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFmH2Q1VUZx3+4LNfL7t17ub972d9vr9GAo6iEgK4K4gCaGsiLDTMhOBHF lAtGIO9mkkoO//hCBRPiUFOJ8rKkhWk5BgkYhaiVLaMRLsOL4MLuwrJUYtvU 59v3OP3xm/Pc55zznOc8L9/nOXfg7AVT518URdHcXlFUxbg3H0Wzs1G0OYmi czVRdJ6vlYnuQP+LucOMG/h2wf9GIYoeYO8zjC18t8D7FTK28t0Evac+is7W eP+IPt4vuSsZX2DNGNYcjKPoUHUU3Qivkd9b4I9mbIffzPcGc9+BN6KILM7a XUZOf/SBHlcXRQ9Xouif7F3JOBEdfs/eS0tRdGeGNX2jaAjrZtR6jXQW3YoO /+D3tyse70+j6AcV3+tyxnrWvMvenqx1PxvssKfsc8fW2R7ngk1GclZHb8/p bl3wm1jf2Me09naF9aLHs+Y56CL7RlRMD2cs8XtS1nZciA8y/H6UM6fDu5tv CPwNiend2OR1vinwFqT225f5rub3phrL1DlXILc3et2Qw87wfhh8N7hiejsy FjagH/edwZpvpv+3TZbzrw8yVyT20YOJbS17PlKxHbrDvb7F3Cj4DzDewd5L Lo6iM71sS9lUNrm43vwJ2HB5Yvlr0eGX9fbddsb1/L4G+k38f7jaMhUbc1k/ k7GJMY/8WVnfv3c//MA5f8NWd3GXA5w3NOcY2MKaUcyN4bxuxr2saZbN2Xc5 8VKdWsd26Nm1jg/dP4L/I5LjNWLpQmL5n0PGl1LvXYiMc+h5P3Qn87nUZ12E nB5+n0TElegwt9bxo/gfVLIvjhLLlxUs5wJ0tuQ82sH6M8hcBv8M82cDPV77 So7lVZxzFP48+GPhxXzXwl/A3uNl230JNrgBfgF+AduknN2GbjuqHPu6o2Kg d+q5C3nHp+JVPnqa/VOQk613bMnGv2PNzei0E/re1PHe3tc2lU7SLZuG3Ojl HJ3X4DV3ottjnN8J3SLcaDD9hZx9IDtMx57NNY4V6dCG37vZ81qV8/A9+B3Y dG3WsXoQ/lLkTETPk9z7ZLX9rvXv1zg+Vyg+sj57AfzFqWUuYvxaapt8VToX bJsjyGnM+ozl/N6I7DXQH3Gfv+Qde0dZ+xb0NOjfYp+T0PdBH8fnU/FlOzoO 514PK4dCLn+AbstDrLYnltkpnCvZ5hOQOZT79+GcOvzVw9xDrK1Ct0HY8yC2 HlC074RRAzP2gXwxrmA9pM8uxgHkzCLO+zTj4NhxuJFxIHLeQ84F/PIhsr7I mm3osj4xvlzJ+ZMZz1fbVvuqLLMOnS5h7zvsvYczj0PPZM1pZByrsV/kH+WA cqErb/vJP7Kh4lT2UQ4Oh3+g2nzNa73i+1TRMvciYxu67od+Efoj7nYr5/Yw 7q+y/ceEeiTcVU49mvf6dehfQbc/sb6MvNWJ7Sb7/aHK2CJMWV9jTBGetDTY DkfCvqHwTkSOadlKvnwXfU6z5hHkHY8ta1LBsm+rckzeXmd8mF+wPTQnfmOI I8n9cez6NYq1f4XuQOa9iX0gHU4WjUHColHQlaJ1kN86YvtjMvOfrXM83sp8 v4zjXrU2X7KtPi7YdrLJ87HP07nDWN/T33k7Wjma9V7li87TuSPhXxdieAQx XJdxbZat5Bv5qJ35XYnj+eqK47c51DvlgHx9Ap9cy7pTnNXIOD9njKorOb4V 588lxiZhVBd6rsv7rHnE2F1Z1z7Vu3zRMdjBuClxjdvIuLjgmBpbdG0Trh5D zs05r3+LNa8HPaXv1tBLbIld9w6F+iiceD/UxMcS199f533+tKzjQZikWFec L664xi8K9fNw2Kua0RpyUznaGvg6R/KFRdNCXo0OGHUorJke6pFqy8JAqz7o fMWldFBOtoR8Uh/RFfqoGQ3WawV7306MOfsTY4cw5N/c5VOxaeHKhIwxX7+f jV3b18DfFNsvN+ack8pNxdmGsvHrz8yPVpygz02M52Ln5OcLjuU3q52bLSHf pWdSNG4IP57mXoOoO9sYm2q9V77/BAt05kMV2+kN9N+H/FZkvgSmLUtsB+V3 R9l1/UzZsa6YF04I43W27HR9ydiwvWJclw7CwZn9jemz+hsPlMuKG+Wz6BOx 64VkKLevyNn2L8G/JuecfrniT/Qv4O/KO17XoePfs65byinpvjNgThu6TuLc D8vGZeFzr9S4Jv1L6FvOuP/7JPc0Tg0YUA78U6HHVD6rZij3JrF3Tq37DN1Z PbfwoDnvvkN82Vn2lt2FoTpf/ld/c6BsfPoe64eEnH8S3vrQA6gX2Jlzf6I+ RT21+Kr3SyvOjbtZczrruJK91YPovleF3nt26L+F2fcEPV+smB5fsP5NQU/p OyfQnUXnjOrtjqDDfwrGFNniJ7FH9d+yy5LEmLtU2J93Df5j4lxVrrwDfaxo XFnN/IOpdVpScS4q9oQJwvtpIU+fyLtuzU/cXwrn1Q8uS+3v5YxLUuPpUsam 1LaYw3hZeFPobTGo4tpzacW5qpx9peIeS/ZsLxvfhQ+nuNfqsnvc7zLeVnQ+ qt98u+zYfBV6XNG5ph5kcsa9kGw+JdDyUVuo9ap1+xLfUXmmGBAWKA5eybv2 P66+nRwbQH9eg153FOxf+bmRbyv6XxdydFPAz60Bh4T/fVOfe0KYEXrRTGrM UN1RXZ1YdNx9rH4kNm68EBunhTPCoN/E7hNejZ2nyiXl0ddT08KGn4e9q/J+ IwmvVzGuKftdtbbsvFX+DiZ2huXMH4b+nbF9q7emcE3nPpP3e0PnPJV3fChO 7kuc58r3VuFlznX3+2XjpvBzc+w3iXJLfWLfjN9OwhzVtNqMsUDvAfHUlwmT +oY1p8r232nGjQXjruq8sFF2GBpwVjl8PvZ74H9vBM7qjo27ek8fCe+Cfv18 Z9395dhvGNl8gmKh4LfayJLfD1qvfcI89X6KrVnBF1NCz9URsF1ve/WzBeSs TNw/PAvvaOy9RxjbYtdf1eEnEuPpk4nfD5K3J/GbX/Keh7e73vmmPuuDYH+9 /zaH/wHkq+3hbaj3/WdyzoufJsY57dU69X/qeX7G+sfLtvlVOcey6oV6ha/k nBN6S/0XERKFSA== "]], PolygonBox[CompressedData[" 1:eJwtl3dslWUUxt9SsN7KHdzbK/f2KokMFwFBtIwaQIODbUwUQRAkCg4EkdIi 4sKFUUBAZQQnU0ATERxxRMGwRYKiQAyEbaEtIHUC0d/Dc/94k3O+c96z3rO+ S4aPuW10gxDCNk5DTrtcCIsvCGEJZ1c8hIJsCI82CuEtMQEfSYYwGLzVeSG0 LIHGt1OREKr5tiMVQjfonQtCeKQwhO7ADeAZAzyKsx95VyE/WWQd7YFj0DvA 3wPlceCfkXEdvOWcpfBPQP6fyL+EO12jIbzAty3oquXsgrcian3vwxOFtwUy 1nO3Id+aAyew4QbwJ6FvyYTQCbwWXZ2Qdyt3P0VGG+g7kPclcIOEZfWHXpsO 4QO+bW5k/QvBr+P+ce6fQn4Z8I/Qj0BvAr0t8vbFHJ+9nE3QTqBzN/JPFocw tjSEl5BRDO92ZGS4vxJ/3iQWt6BzCrwLJY9QR+CZAu+9+FQNLUu8m+LPPr59 Vehv92X9RnqrJ8A3cr+MmC4Hvwb+cvgf4Vtr+IuQNxb4wYxjN4RvDwAvRV9b 4GHcXwReHnN85GM59g2M2vbXoNdCvx28Dvxl8APgK9HXHl0jGofwMfA/3FmM vObgc8HHYuM3hc6RccCVxKC+2PGtw5fDyPip0DIfLnVOKbeGYONRZPUpsS97 4Bmc8BvoLebjY6ucc065J/6D2P4u+FFsP8H7vAP8LPHZBO0AZyv4ldjfmPu/ gq8HfzHtWOtN9DZpdG7j/h3Y+w13P+R0LXTO7YR/NTrvb2yfy7DttGQW2N95 0PaB18Pbl/ufc3d/wrEeCX0V9FFZ6/6ab9dDa5mwv8qZanR/2xTd0I6BrwHe TnwmI2uZ3pT7a5A5CPxOzlxoy+OuF+XgZPDV3NnTyDWwCrgWmbECy6wDXgDP UO7G8Xc6/m5I2RbF5JW0c1C5qBqdBf5q3PkjnfOhreX0A68C/w54c8a19TRn N7y3JJwLp8En4euSuN/nD/BK8AnwX8P9LuBPAC/mnFfg/FsCPJHTOeL6mRf3 G+gtlL/PY89n4H3AS8BfB38m41gpBssU76RrX/GZA60N772j2PFRrZ7NuH5U Y2eAF8VNq4e/Avt+Q2YfZPfiHALelHFt/SUfc9Yp3WnObOnPmTYcnz8CnoO8 qwsdU8V2D6cWXTeC7wX+J+5aPsadkeiblHEslBOzoU1NOz6KwePQkuRYFXgl 5wT0T+LuZ4rByxnLlGzl3P6Ue4Tk98S+ofjek5q46Hz7cxDZzYjPbvJ7JzG5 q9Q1qFpsJh54j4D3Bu/HmQt9Fj41xbcz6BsIPirhfj2R83DCNa7cVw38jeyZ afdCvYd6+bPQT5C7CegdS9wz1TtriMm1ScdMsVOPf4x4NGniWaGert5+DHl9 iyxftbYir089Zjnwzdh8usDzqTfyLmhqX3R/HPb9l7Ctsnk08s4Sv6cKHaOG 6Psw39/VH96Gdm3OtTYSnjvxtyjr2B3nfqOsc0q5pZo4gL4rcsaVc5cDd4qZ V/2nfdI9VbmtHF+CrvHK/0h+5uDbG/l80pv+hK2jobeL+M319ndfSM+D/jf3 F0L/POe3UE5djT9XJa1LOjui+/6sc0s5rlz/N+bYyOeLlX/I25mfX12hLczb N5yzTvkFz+Fg+zQbVXOqvQHQv4W+Jm199Zy1ac8o9U/NkEXwj8h6tkl/N+z9 Iu78VM5NR9cLeXnScTn216Sda5oJmg2X5tzb93ImImtpxrZJ/kxkVeTcW9QT xwEfz+dva+y5B3ljon5r5URDcqkq696jGTQD3qH5eConvoZ3dMK8uqPcPp5w rSnedcA9k46feG6KeYdQv1NPjUNrm3Mv1Pu2AR6fdS+RPs2+aeiMFbmmVdsz 4o6tZkwlsmZnHFvlk3ptTdKzTD1TvXOa+m3EMdzK/S5R6zoEfX7aOavc1Yxb prfL169q5mjaM0905fhz8C6I+65mgGaBeqx6rebPb+geFnWtScb4Us8szS7N PM2+HknHZgL23Ahcr/op9Iw8lfJOoN1ANk9VLkdd68px5fpr6CuLOGc0ew/H vStqB9AuoB4i/erB1dDXpfP9gvwYhT3vZTy7NIO+k+8p194G8IPANSnvjhs5 tSnvYPJvLvnUHPu/z/jt9IZbgftHLfvcTojuk3H7pp1Nu5t6vHq9aiYHPZJ1 rik+xcDdE+71mrkPqfby73duP4Z2OGXbNBMOaTdJ2TbZUJ1yTiu3FZMq7acl 3nXUM9U766DPijhnh1zonFT89a0m4x6uXn4A/kr4T6bca/UmvwO3yNl35Z9m 77mZUOSdvhn0VzLeVbSja1fvHnNtKx5n0FdR6v6nN1FuSId0/YLOXqrvlHdn 9ayp2PpDxruA+plmVcd8P9QMOp/eXFLiXV/1lipxj1Wv1YzRrFGNqnY0swdA W5Dv3/JfvVD/ANr/lM8r0D2o1LZo59Xuq51Os1Q11zrqHqJeoh37spx3fu3+ 2hE7JL3TardVT64A/h+gd+HM "]], PolygonBox[{{4915, 4914, 5524, 1810, 3375}, {5039, 1484, 5040, 4914, 4915}, {5033, 1482, 5035, 4910, 4911}, {4911, 4910, 5520, 1807, 3372}}]}]}, {RGBColor[0.660255793030164, 0.3481496814717072, 0.3471457540779416], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtl3+QlWUVxx9YdtfLenkv9+5l33tvIKTThAprrLALipvCgoIDYjUmOZQW zFSCkyiINiAp0zQCJRNhahNuFD8y0smfUzPkrwUlQRJWrLFESGDZH62ohSb0 +fp9/njnnPd5z3POec5zzvecd9RNt1y7aGAIYe6AEKqgH1ZDB4cwg5d5mRB2 QI+z/loawkre90H/h0wr/Fy+bUxCaIZuLoZwZW0I03lGo6srY34nfGvO7wtK IVyTDWEkay35EJ5H19WDQriVtYnINtf628PoHI/O7eisaghhOfxHrIWaEKai Zx7vj/I+GfosMkvQM571+1n7Q9E+X4HNv/D+Xdaf5PtB+O/D74J/DL5VOpD9 DH68iQ/D8z57MzI38u1a9g8kDj/A52N8a2LtQfY9x56L8XMGPl+KP+N59vGt nX3rauyr1v6Ozg74l9nTXhfCBZUQLqm37AT4f8g/zvrJMOznHKcaznoQvgN+ FDb/Cf8q/IXwj7OnFz0roWN4NsGPhX6eZyP8aOjXs459A3aGnuV4ykZftX1e gO1J+DYZ316CP1FABv4QdsaxPiuu/4kzvgCdxvqv68yfCN4n/yVzea1jLl9v I6afg/ZAQ8mxGABtGxLCKdbz+N+HrevYt4d4nMU5j6Krme89rH+Mf93Q0xnz knuP9zPw/dDReZ9DMWupcR7cgEwz9FSUl++S13pXtXP0q/BfZG8/31qhvVXm P0TXo+itg15GzEYUHDfFrwu5DPx5xPBhzrMfPT9JvPcj9p7m21LWO1lfx3ob 8u+zPhW6Ez3HcO989MzJW/4a6JVlagh+HPx18Dlidz8xXkiM/oueYwXndG+1 87JEzIdzf59ga8YQ2+xFfn7JNXUIvoVnFLLT0RcanCfKl8uH+HwT+X5F5LND QxjU4LtSfq3m21vY2oXd5Yn1SF8D/u3Dz2HQmVXmtee+1Dn0VKyb7mrnw8GC +e2Ja6gffgrfj7D+Afxh6I7EWHKq4JpXfc8mPuMHWUbfJtS49sQ3RRnhxDxq 42zkfoXP91Scoy3cy0LOvIZceTe1T/JtL/zxgvOhq+C70R1tSR1fxfmponNO udeInSk8J+EfQN/YvNdnQW/A3jRsXY2tLYnzqRMd/yrYz3ehlw1xjZ0aZuwT Bj6SGEcUi/OhnUXXSTWxXwOfhV8L/WbGuDc7YpBi+njinBWmKm9fl49VxoXH tAe+E5l3Is4ehk7T/SJ3FbYmEq8y6w+xfnPZtd8BfxIMS+ucS+cg34n808Rk JPwb8HeRUycLrqn3oUvKzrdu9pby9qMMHY78fvjfsncE/AH4RSX3BGGIsKW5 3neku7oFPX3YXgS9vWw/vpF1PN4bbLxoLLi3bIX+vGw/j2K3o9r1orxU7akG N2C3qeC8+33BsqV4rsm1tnUu/OKy9d8K3ViwrkegUyMWDWzwmQ5WO74H4h3d jv7Twxy3l1j7bKwF1cSeom2sReYizteN3beqXMOq5aXEobbBtfl20Th9Iso0 1pivi7blg3Dx7Zxr4GjBuaUcW8feHmT74l7R3sgvRP449Oac9Umv1r/HOX/G Hfwb326Cn8PabsVTvRX++cR7tHcR9O6KbbyS+hw9Uf/TZxvjzhCDmVlj/XHk x+Tdy0bm3dfeqXMPWJyzfB1nqhvquxKWbMq5ZlW7qgPhgbB7GXa3sHdcxfmk OzgPeqToO7yKmNTn3T8/Rs/OomeCXUVjmXBMeKZ+r77/O2T6M67rHXFW0Mzw i8R21LfmV5luiT1MfVe+zyVObyb+fhFrW6PMp+81fhe/N977gAbPRKp9zQaL s+43H6heKu7zXyvbvnBVPWAb3ybw/svEOKv1BxLni/yfxPNqwbihGWpZyXet Pq8+eCbOV6qz5jiDdSTGjE2pa1H2ZEs983SUl+yEKK/+rXPfUTHe3JjxfvXA tRnHNM27Dn7EWV9MPPO1o//HPLPh/8jakpL93Qw/PerUjNBedL4p7w4kjs3y 1Lj8KT6zdqTOvqlHaw6an3F/1Zx1KMZzRcnnnZ1znxP+CIf0XXHTOTXv6AzC Qc103874nPsLjqfmwbYa35/yeVdi39oj7s6JsZL9BRnPc2tSY8bh1LgoPV3I 7E2MwdvYuz9xb743dS4oJuq121PreSWxL9/JuMafSM3vVt/LOTeUI6szjons /Tlxfy1qZkD+LtbfSIzHrXHWujPjdcVqc+q7+03qWWNDxjjycuo8VS5XD3aO Kp4vsr4MmReglbxrcEPR86/06i738G2FzgKdknMNaXaemjO2XAyW/y0xru9G Zn3Rep5JjPfaq2+qP9nSvaj/98UZQHnUH/8feuJ8eH3sUcJzYVNrnPeUt2mt 8VZx0TkGxX+QVUWvKWbK2dUxb39YdN7+NPH9Ka5fQf+9Je/9Us6zgHxV7gnv OyPmCyuFmf2J71h3/YzuIXWuqFevz1hGfive62PM9f+hOW1exCnhlf5RuuK8 qfx5NvWZXks8mwvndd4vVIxHjRXr6I7z3oVZ12tjzGVhhPQoZ+WPclX9OQz2 fDu+3nneljOGi1ceaGZVvhzlzldEjFDf1j7tl88XZF0HmlXHZm3n9YLnHfVu zfb6f9A8/K2ScV/4f07euSxe+f9knEk0m+g/STak/+7UmKUZYRJ6mtA5sd6x H1Fr/NlYNH8J9h9C/npi+mDq88pn+fflnHN6VclxVX3K1w0xD5WPiqv2KrbK KeXQzIhlumflyLl5z1D6xxJmN8Uz7ojYqrjfE+tf89GZ1P9xT9APG7OuRc0d wnedf0Te/wyq9TtKPveAeC/CR9VWd952JkVbz8V6Vy5vTT3/bUvdG4Rh2wue jTQj3VZ2DR+KuDcrZwxdWnFPvjT+b6pG2yLWrSzZhzk515P+i5Tzq1JjimY9 /Ru1xP8m/ccqp+5MffeK65isZ2Hhi/JcfV79XmfWnK4ZXfUo7JdOxeWvifX9 Bx3/B81SUa0= "]], PolygonBox[CompressedData[" 1:eJwtl2dsVmUUxx8spby0b+/be1u4bRUEjREVqgwLKCICMqXg1hgTByQOIIqI iGH7ScVIHCBoEBHBAYpbYxCVgsoQZThiIgrWFmxTURQH+Pv7fz88yTnPmfc8 Z92uN065dPIJIYRvOW05GypCmFgQQp+iEDYCd4mhQejbLoTzy0Mo7hRCM/Rj bUIYVRrCp2kIvxSHcIgzuzqEHeAthdbxTRTCzZUhdId3OPomAP+ehDAWfddB /wL6E/Dvgn80+Ebwn6AfAT8Xe2Ny2MjaF+n8FtqJ2NyMvhr4U3zbjsxVwLXo PAi9Dv6Todcic3tVCF3h3wo+BJ7q2Dql+3f07Yf/EvBa8L/BfwHfV2FfmzIh DIL2DPprkd2N/jn4+ir4IPC94PeDd0VnPfp3gncTXGHbZe1DuADbHcrsT1dk ioE7xuZN4emXdUz/jy3nAuDzuOsMbQ/+vI8/T6OvrsB3y4HvJ4aFHUK4QT7h y78d/X2yeQz4Ke76QtuFjdn4N7zKthvBRwC/DH0g+B7w+dA3YOMrbH0JXolv uTK/Ty/8qcWfdp0cb8WkCHgnMnMzfl/lSivyxwstI9n+pbZVz91yaN3AtyFf h8zDyN6FD4fx/1/u9iP/ekkIi7B1RP5h/73IvAOxtx36UO5+g3aYMwRdzej8 B91NnNXw9optr4HTE3g0Pg9DXw1nKO83NjZN9kYgvwSdY/D9GmwsTW1Tthu5 W1XimCv2iolis7jKto8iPxT5J1PL9uXue/QfSpw7g7hbgz8flPt7VoAH3moe 5wS+93q9SeRvkL4Szkrk62LX0l/g44EXw/Md+vZxtqJ7EHetbV1zU+EfF5tX +Fv4e7yj4SPoGIzuBugZ4AnYfwlfV3CuB27EnbPIrXHo6NfOb/Yr+q/l+3Yi /wP1O436vRL6AOi9OQP4lj34cxP0Mdj8EF3vJq7XKt6nP/oy5MRJ5Hol8k9W OYeVywPhHw39M/jHI9+bsxRdI/PxVowUq3uITzH+HkR+FvZXYeOGjO2Vkk8r U+e/7p4HfpP3+7PQPr0B/A36m8GHQl+H/jOw+XNwDB+scM9Q72jlfJc4popt LfxL4N8UWV8r+BR8WQf9IPKHlAPAPybuFXrvWnSfFTuf1RN7xNYp3V+Dnwi+ NrKsfJJvs1LXqmpyGbS3I/ci+fQAtDaVzpVZ3HWBf2Spc1U5257Yfgr/xIzf 82X4t3FmZ9zvBuPPa+C3ZBzDl5Bv08m1Ix8D8NnEdAK6nyO+51T7G/WtyomP 0f1Z6lqWzu3Ardw9DvwYpxn8/KzzaSb4ZvBnEte2ekqf2D7Ld/X4zonfWG8t n9fCf0bs2KhHdQdemNq/U8AfAp7GGQx+GvhdwIWdjKuntgV+g7vb0HUuOp+O /GZ6O82IA9h7RP0uY5ndvPfRju69sqfeX11qXeK5W72LGDQTixbOPOA68v04 tGN6A2LzOfquLfDdbPAf0TmiyN+X4P8W8P5F7unq7ap51b56knrTePS1od4D Zw7yfySedbqbC743cizv5WxKXaN6W8XsZ/Qf4gwoML0e2trE36431lsfBR8F 3hZ9C9A3nZMrsszdwEsrXJvqcep1l+XMW8CZD/3U2L1ePf0U4Dh2b9N7t6B/ ITLZItfQmbx9A3ha7J49jfoui/1Wv4JPrXLNq/bFswR4Mqelg994B7J3VplX 77MHvKTMby+eKdCuyVqfcu4O8WonyLjnD4udY8o1xbu35jc942J6xybuRvJt HfL9Rz1UvXRj6t4wQ/kNHJW5Nm4Ffx38o9Q01bxqvzc5sAbfz0ZnX/Uj8I+Q X83dDOA+5Z4l0iFdPyHzEPIPcvaj64psPpfBJ+F/A/SFGffsC/EnW+beLP4D 8K9OPV/U0+pVf5F90/uuh7Yq8ltqRu9K3NPU2wI+HE6cs8pd7VxzgJ/NeZZo fk0C7s7d8uL8+6NvOvj+Yu9ILYl7vHp9Pfgo+P8osfz/8xV/z4S+otg1r9pf k3h2KAdfSNxz1HuO8g2NiXu0evVKZHog2zm2bvUfzf47s6bfpPmIP/tyltcO 8XnqnFPuKQeUWz2rrUtvqLesqXbvUk+uybomVBvyryl2DigXNMPO462+z+9v qtkfgLfAf1/GMVVs1UP0LdrptuH/h5FjpZm2DN7JOcdSM+pi/N+U3+dU85uB a/L7hHYO7Trr8/1XPWpr5J1Ou530aVY2579POa3cfjTy7qocmJ46h5Qbyhnl TkPiWaMa3wD+QurYKV+0C86s9O6pHB2Ory+m3vU0Y7do9lS4FlQTms0TK73L qt61Ox/I21POqhYbc57Vmvma/SPy80fyqq2LuNtQ4HqZVOkeqV6pnBoLrVe1 a0U1pFoalnMtaQfTLtav3LukavY6aAtS70LaoV+JvHMp3spB5aJ2AO0C6tEz sPVX5PmifeF46h6sXqy7cu2GiWtDO412m0UV3g2buO6Z9T+J/k00Az9JPcMV X9XI6dAmV3q31zcOQf6t1Lvx1eA7IvdM9U7t3JfnPIPVr1Ujn0BvSlwL+ofQ v0SPrG2rJ19V5R6vfFUOfgX/val7vXrszNQzQrNCO+KlyL+d2rZm0DvAFbH/ jTTDNMv6l3s30749FVv/ARoS7hY= "]]}]}, {RGBColor[0.6025113105617809, 0.26704894168977, 0.29726336720461005`], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJw1V/lvVFUUvqXTTjt05k3f9L2+TmsIULaySguyFJS1SGUVTEyULfwgGikC URQFFPgHXBIVZYmRiAQXwiaGFAm1pXRjR1kshbLKItogjYDfl+/yw8s97855 557lO9+503lexfSFHYwxE1OMScVa5RvTCLlbzJiisDG3M43x8X4dz008+Xhu 4fkTTwGe36FfwzVuTEvEmAroO3gfnm5MaciYJhh9JalvF2B9PU82R0M/lGtM MsOYNKyPAmM2Yr/dMeY0bGZDf0zUmFHww4POI+ydwtMDPm3zjCmG7Rzst9EX 7PfH/l7sX4Vci72zsP8H5J7Y/576Mfn8F/Ye+vr2AdbjOG8pzv0Afp2A/Cbk tZBbEUtKhmIPMuRbBfJj4Gsu3lNypTscjwed6YizG+QI5MHwbT7ej0Gemqp8 puHZFej3WVhX4oxF0G/CmXOQl6PYn4v1V/h0BHKPmHK5yOazF+JYBnkw5OX4 phDyS7AzJ9A5RdBv9uXLWOTtoi//W7BeQS4a4MdMrHd81XIA9Bvh5ybYqUpR DsZlKu91sD8D+ttheyJ0emJ/EPaP4tssrM/AfhN+Ow35AmweCOTbSXx3NQ21 hRzgtydjOotnzoO9FthqwHt3V3Jf/D7BVV53ZCE3yOl97E/AfjfsX4DcB3Iq sFSH72fjycN+GDYqE8Y8B/lf6Exy9Q2/nQx5CfLYADkbchmeNsjjXcXDuA7D zzH23Hs4t0tY+4ytBLp38dyDvAG4eQK/fQR77+GbKsS2Aef24xn4dqAr/csh YasH3p/C+gZy0tfVfh+seRnyh3nOcZX3BNb/UiRz/zZylAm9/oij1daONdwS qOaLo4qHdm5jb2BY+qzBaryPQc63wcdGPAsh78beLXyfh98n4NubvmpSBnk9 YjiIWN6FboGrnj6HvVrk4MVU4Y14Iq4u+4qb+zxrPmx3Cqvn+8KXcyHheyz0 czsa82lSdWLthmD/M+QwD/rrsK7I0xlTkJ8urr7t7Kp36T/7lthnL7DG9anq MWKa9V9q8cl+Zl+fgW+vJcVHr2ItwN6dsPK1FvGPh/6PiPE+1lb41ggbM+Ky uxq+FOdrbyDWOyFxCvmkxped7ohpUEzcRQ5rhc1y6ESz0e9x+bQKdu5kiisP QW9cVJxxCTZmJ9X/s7A2esLUQsgPwupn+kme6WPfyYXMaXuKcN0vJIxUe/Kr Cmujr3PO4PwaR/XYCr96xZQ3csk30CuEvSboTnPVF1OwTo4r/6zDek/5+hbf VnrC05FA3EqOPYlvx8QV20LovxyI3+ZiPYV+PBBRDyyw3P439Fs8+duM9adA /LUHa8+Y6kpuGxBWPYjLwpiww5nT5quOrOekkPqRvcQZcsvOGvI7sXINuhOS 8qEsKX9Z68PMe0ScTHz84IjT1sCHEVgvRNTjxG9zRFw8IqqV3Eycds0UVxfl S37Hka3STGGe3F9i+eGSxQw5jrXKz1D8J3z5cg75C+dqPx1rS5r8oA8rA9n8 EvaP+KoX67YK+yOxv8nR3CF3kB/6xYSbs9A97Wi+VEH3C0fxrgjE5YHVpz3a IVZYLz9DHM4epQ65rzisurP/R7vivVFYn42qPuQP2mZOPTufiLFa7I+Oiicq A/FNt7D697zFLet9MaL8sz5PRxU3ZwjrwDwUWt4l/7LWxAvvELTF+PqGxUHj o+IuctghR7N2WyDbPIOc0J4pbDHvlyOaQcTKSU/9tDipPmO/sT/L4vpmeZ7w W/w4D5n6nueRg6nP3iTnkntd5GdoSBzHc9/OF7csw5qSrn3y3l1f2BgE35vj mnufB8IEfbzOuewrxt2e+pm1OucrJ8QK8/Wzp7j2Ya3zhd1NkLu6ynWhq9l+ wPZLdaD7R2lUeaJ8zN6HWJ9jsHEbXP8A9t+Cz7/Y3icHjI3LTnmOHsrjsDfC FT+OdOUva8P8kJN4PyCuzvviwO2wMyykeU/M3EuTzPg/Saqfr9pz2Of0mb3Y nKY+PO6r/ltgp2O27EeydY/ktwV29nM+7MNaHtXeSPhbkRQ/Z2WrN+jnKeBl f6B5x7nHPii3PnO2kwNpa0cgf5xs3WXZ64fhSy9XfV6EdSBnM+TekDuka8ax 3pfiwsRvvvj1gZ2XM+29qyf0h+Uohhfi+r3d6my2d6Ya4stXL3ztaeY+tDq8 f7GH6XNpjuLtBJtHHWGuLaE7MnXIySOtDnXpL+/iPHuKnQW8Z9EP7l2LK9fM +VZPWGSN93g6m35y7rOmoXTVcg16Jg3y/YTOT7W4Jy6Jz688zbE2O8toh/kn XzA2xrgZ642E7Dc4sse5PM/2NrFb6whPxNUOTznuYM8irtKsP+/nyYd7sLck qv4bitgrHeldScj3FovL9Y76ayfOuRxXbBd83QWIS3If8UgfiEniiZh5PP/J /azFOjszeMc5avFELO33xCcfJ4VdYrgGe4d8cWMJ7+cWM8QOMUfslcDn4wnh gbjY6YmzdmEdlCP/eGeZbWcxZ/JGO8c5z/mfgP6w1+oTipGx7k1opg2J6r5L 7t+cpXsq+6/eF9YOWry12v9tzCN5hBzSG+cWR1XXDxHX7ixhbaorW7TJu/yZ hHh0YlT3Ht5/qh2dTR98V3df3nsvwufvAuV6naOYptv/TaxDg60F72rExvNx 1b7Oci//G9Xa++pQa5+xDo5qRv/ja4bTB/7WYPFYZe+LvFcMRk9X+9LhfW2f 5ZbhsNFqsUGM8M7SaP2hr/T5cEL3ZsbLuImtest7vBfSz2lx8RBrSs68Ye9A 5HX+F+X/hhL48D9fzBUS "]], PolygonBox[CompressedData[" 1:eJwtlvuTznUUxz8Pz9p98Fw8u893n31WuZNcKuzmEmXXLbpIfmy6SPVTiKaU ous/0GWmIZNqpiZkmAgzikzGWuwiLBXWXbowSi6FXu/ezw9n5pzPOZ9zzudc P92mzZwyo00IYQMQB77JhXB7aQhVsRDuTYZQlwnhXCKEWzn7Ct4vUQi3gTfC PwN+pjyEKGaZZ6tCGJIK4TfoP4CL8LPZEJpQXFUWwlh4C9FRxf2eyM9Lh1DW CTlka4DnsNeCvX/BtwD7Mj4T7xKQQLY2Zd13ofP9AjqR2dw2hGagpiKEdpUh VGNrIPyD8D7BXhfsTcdeA/Zac9YvmVJkG/FxD/Ru4BZ09wKawSejbyu83fkQ BnH/AGe7wJP4MAndEffrkO3C+zrH/Oau4LdzdhZ8MDIXuP9tzvcHA5vAhwIt 7bCFP/Px52necKI9NPwjyD8FfRy6D3QL9HHkm+P2+Rj4M/BPtXcOfoN/ifi3 RV8M2IO+s5xtjzmHv4J/yVl9wvLruX+Ksx/gD4A+DX4I2BZzfg+Df4ZMd/CO nN1N7CcC1TG/4Tt4DcDEuHO2FXxr2rHqoRqpDqGEmBaIzVX4++Gvgj8u4fcs h16dsy3VzFh0/xT57Q3QP4Kvgt8X+howkFjuj3xXb9oH/jX8/sX7qr0ZBdeG cjITfCk56gy/lrMvwNfl/NY89DjsDSJHc6jzzcRwAvL98LmWu1N4wzZ8HVbM T443jMb+OGroSsLx3ACvCZmrJfgHnMP+PGr+asL+dU25R/S+85zVc/dPfP49 5pq4A/50bB7Ddhq6Dn8+gK7sgO/4VI9vS7nfi/szuN+ctk3Zlo3x6GtDfPNl vjMGfbMLjrV6bA74+ILfpjeo1j4t1n97ZEZibxf+9Cx1zpvBz/OG67xlC/Aq 9hYV+7ME/jDku6Tc66qhN4nnZeTj6B6OvZP4czTj3lBMfi13DBQL5fxt5E9E zlUMn0+C/41MG+4P4/5x7o7jzRfBBwCDsTeMHh6qXiMfw8HPZNzrI7gzEvph 6J3wSqDfIvYTkp5VTZydhreyWD+qkTXg3dB/qKj/QMYzQbPhMNAD3hvoeB5f d3B/CryHMsbVU6/DayEm09u6RrbynvnACORfAPbBewt6bMI69kI3pl1LrcRj Bbzt5cZbyck0cvMkcLS9c7CbeKxDZmbCOVfu10AfQ34qOnaga3va+P3YXw1v crF+r0A/BP4g/jbCn4WOBfj7YrVrU2cPwBuS9HsvA/ch/wr6vi9xzpX7W7KO 3Z3EsA/4xrxrUzKbwO/P+q7mj2bz9si9qpraAT6kwr5pBo/JuMfVr4rJSmzd yv0Tcdf/TVnPIM2iOvjL4Q+q9uw+ST2/BH5EPiNfSb0Eav1wxrNUOvpyvyZp +jwwEvrznGM5En1L0NePs5Nx19Bs7o7KWlbzSrtmRc7zRjn8EPm51batHlev 70o7lsrJet5fmfU+UA11Bx+B/dKYZ8wSdI1PerZoJms2P5B1bpSjgVnXnGpP MzHOexaisynmHluUd02oNhRP7aofIveb6mEv+M7IudFMbgKvx16nmHeEdsUv GfeKdtAkeMuK80MzRrPmnqRnuWpOtTcGOhfzztHuWZYv7kblh949Grm3JdMK fg2oKHPMlYso69mgmCg2a/OeVfJZs6IB+kyJe+YAsSxkvVsVsyrwxTnH7ibg o5x3oHahdkoH8tMnZXnV7LbIPa/eV04HwXu34Lva2X2hX0579yie+ltcKfds uIQPG+E9gT+9Et55j4M/mvcs1Nlj6rXIs0kzQ7vnnYLzpff1RP9idNyVcM2o dq5CL0l4Brcln72ROV/qN+ltsUrXrnZSs2odfqLM+1N/gdUdPeul40beOqTr Y+h/0P1I3n8j1UiPlHOi3MiHBXn/ifQ3+n+/gl8s9+5Xvc9JWod06c9QQbxn ZbwL5WMDb+2X8ryWT+egT5c7VrLXiuyNyLtP9bsWXz9G36iEe0y9pj+Y3nYB /XXon520/rnIbMa//Wnjiqdm8eisZdXTtcjenPLukc7XkD8YeReopg+A91cN xr0jtCu25Ny7qsHr8N+u8uzVDpiacQwUC+2Q8VnPAM0CzdCd3P8rsm39zwan PBMUK9nohfx7Bf/NtKNrUv6j6q+qnGjXflTu3aiYKXb640nXKe0U8P5Z47Kh 2aU/of6G2r/6S2jmafbpD9UZfEaV/waKgWIxADgW907VblXOlQud9c56RmpW qqf2wv858t9IMVdue2a9y9Qz6rX/AFbSnIo= "]]}]}, {RGBColor[0.450385, 0.157961, 0.217975], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJw1VltvlFUUPQNjZzrtNx2+0q+TMUIN0KJFbLklhlAUFSTRFxLejNb7C1Eg 8cXLn/DyYkKIMfHFJxMffFF5wzs1toXOTGd677SDoNAWvERdq2v14WTvOd/e 6+yz99r7zP0vvnHq9U0hhCtYm7HmUyFch3IO+sWuEEbw+wLky6UQejMhfAa9 kQthEWsJ36awurFWYT8LWUrJd9L7Z6F/l4TwB3z78iH0Q27KhjCDb7vx+xZ+ f4/vS8Brx/592L+Rkf0KfBeMuQb96y6d+TD8hhFjD1aM3793Sn+nI4TLwLoJ 312wudupOB6CPpGSLXGIT5tsSuffsD6b1t2ZgyNbQ2hCNgq4KzA3I7YFyMOw eaRFNmvAL0PuAf6WNuEw5rLPOg+9npYvc/MqcvgfbJ6IQjiNc7ZjRdivYlXs U88pJsZzlWdAH4dcxJpzLhjjCvbHmAvg34Y+mtKKXIsfE+3/kMgucl1+TuT7 E+QAfP/NqIZ7ITNZnfMa4myBfgJxTqcUcy0lvea6MrZx4zaBdQ/slyFzkG1Y d3DWrUT6QF61zbm+PIP4vM98Ij7MQe5LC4c1j2xPnEHmA3qD5yM/lZx4md0S wkn4DMWIB3XaA/0Z6Mcj3edL8GUVuHn4HkAM73aIJ+QLsfOOpwq8o+3CfTIS R7+A71HoO6B/Cv0I9B7on0B/OladD2BvqF2+24D7S6J6vYT8HYvUL+ybq9j/ C/or0OuJ8kkuvN0hv4+IH+uuB+F3BTarsBmBfL4InNYQniuKM9TJm2v49jds JiDLWP9Ar0A+gHvG4OL7Jd2H8bEHx/DtT3IpEX/JdXJ4X148J9/Zk3XXt5qW L+M7CJtOYH5Q0tnkNLnEXE6lxfObifR+2E5BD8jtNOSga38bem8s3B3Yu56I A+TaJfc1+7tmTpPDJyPV/qsuxUJf3uVQpFw9BrwH7w3hY8R2GbmcLaj32Jf7 8+LQCs45i/0mYq1CbzVnzgHjPPZ/w34/cBYL6u2nIvHssPPDviQvOTfmC5on nCs73fPvIf4xc48cJKcHbU9eMTbmkJwgNx4Ffi1R300mOmvefb3suUpOslY8 t+IZO+O6kJsz3mOOySX25YlYMYwXhNH0/DkW6768N+uz5H3OitOeP8wFbdhP Z1rFMX7jnBnz3CD3uUe/vlZxgFzYH6kXjsfK8Yhn/reJfjP37CHOi415NeoZ FXmGUCcnWN9ni4qddWGc7K0h9ybzseAZfgl2byKOb4q6b8N5Yw63tgljMqca ZJ3fOfsSq+Z9vgOT1tk3Nc8Wnkvfbeb7rPNQcr2oc162eGaSp6wl4+NcaToe 9k3DbyWx6z5r1nOQeIx/2TVrWqfvup/1JdsxJ5xti8aoeh4Sk3m+41xzXpLD GzE1fNaHJeXnUF73pC/rxXnD94D14Dzivd/q0Ls57He22/OB9rSdcu04hzjf +I593iWbGdQ/nVUvMO+Ma82xdfsdoW/sHmNdePaAe79h/6VEc5QxTLi3Jmzf F2uO7Y7Fl7K5vT6DsH+xU7Gs8zAIh5wh1i77cAaQd5O+V9nvcezVYx5ydvOO j0fi7Xb/R+LcJad5n+GieuMFyL15nc18jHs+cE6M+e3cePeJWfG97mZ0N/ba GffgBf8H680rxmnnbzSR/a+Q/wMGVHPA "]], PolygonBox[CompressedData[" 1:eJwtlNlvzFEUx8+0ZaatmdbU/CKVUKGLtpa2KhGx1Z7wIvFGW55sIR68WP4J yysRIUREIoIQ4YXa1VK0nXbaTrWqtErtgs83x8NJzvee9d7zPXfqlt3rd2WY WSOShVyeaLYz26wobLYwavYsMPuGPg1ZDF4UN1uD4zd8F6LvyTd7n2mW5qwU nARXoWdFzN4Su4SYr2HPoVw3yb+X/CXgOmzHCqid6We3sM2NmcWIzUFG8D+T MHsZ8hxPwbVRr52L/RO4GP9hbEPIbfCRQrOCXLMBYm4Ruwz/n9h+Ia+xn+Ws Fdt38Avw88B19azeN9JDEn0yPe3PMzuB/wv8P+PzEN82fGZj/w1uA5dSf+R/ /TvgudQbNT+7Bz5PfHvIe3gFbid+DvFfwE/Am6lXyt2nUG8T+jb6H8jh7ZCt 6A1IR47fsUn+4BS4E2lEH+UsGvE3mUftDvJXk/8H/i3YHgTeu3pW7zuIGczx N/6C7REyGvYZapan6Lcl5GePsa1jppVZfqe16Nex92EfQ/wg9pVxt8lnFfrs mL99F3gY+33kU9h7Vu8l2JuxD1LvLrYb5KsKe07l/hj47MchVfj2gFPYepA0 +iV8KvDvAl9EP5dwLmmmmu1VZBY4Db6CXkmONvQP1CumvybNFH4k6aeefk4n nNu6s+4+E/+OkHOgJO6c0mzHEzMdWz0zKsn2HdGunEz4rogj4srxAr97EfUO Uutl4LMQB8SF1sC5mAT38t7NgXNBHBfXl8Z9ltqxOvRyaqaynCON1DuQ57m1 M9qdfXnOVd2pfJLnVG7dOY3eh3SH/E5v0AcC381e8DXqdYMt4j7yPcybxHN9 RscTzklxU3duQK+I+1sOYq+O+Qw0iz/coZNcHYHr4ri4rplpdhnUeIP+Nt9j J1DjKLWWw9m/Ye+hC/sF8nWG/CwF3oD//LFmC8jXj36o0GchztUQ2xt4bnFi BXhOzP8GcUhcGkIiEefYGuzzYl77HfPfXugcEVcy8ekP/E30NmPB78EfkHDE ObUy6n+ScmvnashVFve/Tz2q18+Bc1c7rF1eHfXe1YN6SQbOfXF6Vsx3XLuu P6s25j2pN+2odlU7rl3XTGZgfxf47mnHtet3/vNTO1aGfVXUe1fP6l0cF9f1 h+gv6Qv8ruKUuNUe+F+mN9fb/wMuX/Wb "]]}]}}, {{}, TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl0ttPz3Ecx/G3O104hWZcmU5KOXS4+4lQbNzY3NHB+bARl+ifcLix0Zox ZmaayRi6qYQOlKKDU1JECplLj99cPPf8vD6f9/v9+fzqu3T3se1HZ0REAwbS Im4tjHjH+xdHbJwV8d76Az7PjRjB3/kRebMjMlMjlvHORRGn5kRc0HeSc5ZE tHKF/kq06s1Q18zpfMZegbll+svRa+Yr9GGbvBWFztvUZ6lv4Wx+ytV6q7Bc Pst17ryITPmJ8xozBjlfvm3/o/UwRvAJm8y9Y78Bb+UhDOjp5C5cs/+C95i9 Tu1L6xK+av8KOuR2HNeT5Z3Z2GE9is3qJpxt4YdqH2Bc/pq8J/kbuRc37ffx PndsUPva+k3yfWqG8cffd4X3Z5h9Qs7lNXJiQcSYfF5fsXyYj2Bab6E8xQX8 m4vNXa+vFCnzvFeeyWvlBIrkn+pWqZ/k1fyLD5l3EEXyOW7y1kdYKf9wnst1 3lfr/zvJp/kSN/kGHqPU3L36bui5jh493Rj07jH+gvv2v/EBdeXqv1uX8T37 jRhNfmvIcVeVmdXYhUpU4C4S6i+rrcdztc/Q747+tP/f8D89hHSw "]]}, "0.14880000000000002`"], Annotation[#, 0.14880000000000002`, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl09tPz3EYwPHHeUtJB0Wkwo3jRdiKZlNSYyti/oDu1ZYLzFZR/Q/Oi4tM ykIJY42tFTnEkjDnGeaiK2sYeTUX772/z+HzfJ7v97dfXnVtVc20iHiFWZkR owsi6rIiDiAlNWJ8YUQql86LmK6+jY+rlchNJEa0odxzN0/q/ZUcMUPfb06X T8MnMz/iPeaozcbL+RHL1VYgC4vQlxZxB5uTIlr1nkW7mRdRJ3ePR83tku/B dXzVv39RRLF518QlXCNeas9G/ef0X5Bv5Ud6z3KP/EO+ykPczckpERvSvZ/z O7mUN/L6xRH5OIxD2C5/27wyPuKeXPe0OH/FnA75Lm4Wj/Ax9Sp9jbybj/KE HZ6p/eAD3qnQHZuwT/3b1N1yW8RFyPFNcrEWa/BOPXy7aXjirhq/Qy0S7f7Z nUlcbJ9Cta08mRHR63fZ5exuVCLB2XK1Cs/rkI9yM8pQ4Fy93eaak4BB8QD6 8desP3hrh5XOrEI2luCNd3mNHXa/q7cPT+0zjA/6v6s9NnecD/qGFXL1vkUl N/Cw2k29N9Du7BNxr+ccezZx51RdvoNHzGjjQfkx7ucXPMBF7l9t/n1xp/gB X+ZTPORctXc8b86g+JJ8tvkNfGaqT/4014ufc4u99tqvifdwM/80o0/tC7+X Ozk1GyecPYVC999SK+AM3yUTy5CHMf0zM///x/4BbweA4w== "]]}, "0.1426`"], Annotation[#, 0.1426, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl01toiGEYwPFndySb88Y0TS6cttFkk9rIobYmUpJDSLjaIdnBoRyTxMYW zZZyWk6JpKTcbA5z5kLELpTMxprFuHHn9+Xi3/993vd5nvf93u/7sjdXraxM iYhPOJsR8SAtooWnZUZMRcHwiC+jI7pRNiKih7+iRd5LPsNP+fjYiOlynxjP 4AZxPfbotRut8r6Nirhh3MtTxkT0cae4n69Yrx0fUYdGdasnROTo81a/XG4y 9974qrwBvsb9/APLnKuPv2Oh3Fd6vsYLdMl7w3f5GN/j03o1I9O+2akRf8dF FHGnuXL7Ltej0NoKzuc5uKD3ecyTlycu4CHpESXcra5a3Sb5NdwrbuFWDJXT L641HuBS+cPM7XDmYn0WoNeZup2th3u4Qu6q5N6N69GQPI/a+9ZPGE/WI0vd Onm13lGpXjW8VjyX57vbEnNlvJ4L+VDyLnnEyIhfnmMQK6z94d+4pXcX3+QP SYx85DlHntrZmIWP1p85wz7j57yfD+IAbmOX97eXd3KR2ht63JF3k8+pvZ68 u6QvZlq/aO2R+Sr5j/lhEqMDufrkINWZL4uvoA2d8q5yE9fxKT7ifo4iw71M dD/b9Cv2fJ/NbTXegnTPv9GeWfaehBRzgfbkvtQtVVepphwVuIQNvo02XmRt sZwlGEy+Qfv+4p+83b2v0feHcTVq8M6+jck3bZypdqy6dvFh8x3cbP5k2v9/ 7h+77Yf3 "]]}, "0.13640000000000002`"], Annotation[#, 0.13640000000000002`, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl00lIVVEcgPGTGWGgz6nBokWaWptISWkCbZXgzpUtKmpjWWgOQYQuKhEX hYGhFe1Uiiwoy0SaSFdFBZkRERS+BjKnlg5P6vdo8fGd85/OPfe+t+lobUXN shDCD6zM4tUh/MIE5tJDuLYhhHnOTQ2hzvqQmkrOs+/jO7iOxYwQJvX8xk+s UpeEViRmhnAkOYRZ8Wkk6E0WbxRLSwthPBJCiZooJ/DFdSEMWY+bGcVXfMF9 PHJWob4hbjbjwPoQOqwruYh3YFR/PTegEU3qypz5wLofxc4Y4IeIir93VpWe 46jGJ+e0it3jQlzxzB1ok+sXz9d31sw87kQueuTvqu2yblHz1voC9/E2XJZv R7cZ3eLvxG7Y73aXm9a94re4Q66X2+R6OB9b1cTkl3DMuVWYV5fIS7ycY7xR 7UJKCOW+136eV//ZnETvuNaMDPfORMyd57CAiH0KauT/2j/lJPtnfHhNCAcx Y/aUWTPys3Hsy9T84fR4r9wl68fOf4LB+HeKP7sZA7yFWz1HC+rUnkK7+m+e 86p1lLPNyUG5+f1rfRsM4KX+E+5XKl7N+/gkd+lv0tuMM8jx3rPxSv24u4/5 PUyYu1n9JH8X+yBXr7cBdTgd/w2i16zzZvTxiDNv8zn7j+qH7V/gOd6Iz5g1 jQheq0nlQfEx53S633Z3rRAr4CIuxl7sieMZYt5nKS9yCY/oGUaB/E77XTxl 1oqs///Hf5KKkC4= "]]}, "0.1302`"], Annotation[#, 0.1302, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl009Mz3Ecx/F3JQf663850EYXFye2FgcM/eGATWP+rDZjNjVOHdnonzm4 OTCakc0mYqV/M8XF/CuUpJpkxjoZkYnHbw7PXu8/r8+/9/dXXnnljmNJETGI yUx/siP6F0bMZEVUizvTI+YsiPiil0WzsUfvFU9VbkSZ/ga1ZdiITShGEfby baHnrG2bH7FOXp4TsZ5W0LPqx5dEnEAl8pZGLMd93pGMiK08RdiM95iYF9Gy OGJUr0U8Ro+ofxI/c5c2vWr7fFB/LW9NePVH0JQW0SHvRDvGearUu8TPeS/Q XgyK3+KBeIC+Qbe42TvG+B8uingsf4Rcewy7a5/39KNEXu/8e9713Xzu0rXu VqCewV9Kp61PF6ch1Xwz6XYz7OVfzVvIU0C/2m+28ybpjH2m1P7SHPf4zLOS 5qNQ/0BiBrjpjQdpSWJWaDDLj4nZWZdGk3ifOCdojbyMzqW7aaq9Jvgy5Jl4 yrfLvWa8bycd8q53qNOrxThvijXtdIynlt6ha9Dq3DZcxw004by1nTxdtBsd eCnf5pzD4lLaa78ataPyWbSOttAV1p8R30YzinyTP956Sf2WvNja03yHxEm0 zx2u0lW0kb6gPfSi/hVcxil5t/pJeo3mo8E+9Ynfvv5P9R615MQ3p/vMoJHu p6M8xb7HD55p3iH5MJJ9zwGaQr/p/TbXKfzK+v+/9Q+66Yvz "]]}, "0.12400000000000001`"], Annotation[#, 0.12400000000000001`, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl0l9oDWAYx/FnqZ2VfwfbbNw45sqfRm4sKS6GyHAo4QJjroTLxYVLmZv5 s6OIXVCi1RlqmB2zNhMN5crqbIaVlBulM2Uzn5OLb9/zvu/veZ/nvOekGk+l T5ZERA7P50QcmhfxcH5EJ8Zxd1ZEfXXEFmQXRjxAJ94uihjCmMwRZyNqO3zO 85LyiBQ2ox41yYgWmf18X20Hyux/nxuxkTchgTOLI0q52QxTsvtmR3yoiHjn 3h+yr/glCma6g4tyjzin5pfz6gURw/IH1JU4O8jr3FmHiSrI/OFzfFt2VHaA K9VXoM3+MusMD/K073JMvglbZW/xTXdN6tnu83uZ5ViFx/rNUPeMt8tekmtH K3rle+yfV5PjUrl+HtSzy9lfrJTrdt6DVlzFFSRkT/AFfi3f4O6P1sMYQR5D 9qbN8Enmi/U4j/JnjGG3dyjz/ml+I7tBNl/M2mvR9ytvwxNzXDbXpDdeoVct 6vwOa3k9r+HV+OZddvIuFGQbiu/PVbxDj4z/xTVMVOol+5vPWk/pnbZO+v1P y+1RsxeJ4pugyV639XFuli/Iz9S3xmwpLEW/u9rMPMC96MML3DN7Vv8bnOHr 6vr0Ourep/od5qy7fzrvss4k///f/wFIdHnM "]]}, "0.11780000000000002`"], Annotation[#, 0.11780000000000002`, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl0ktIlGEUxvFTUIRoaZpXKKWtBgkRlFsLoYgKgsgMpDaFuTeF1i2SoVxE 6xY6eanQ0soma7qILsJuJGhCUFBQGCMtavT30eLPc87znsv7znx17Z3HLq6L iPuY2BxxqiRinC5tjUhjEQu4VRgxVBZxG/0VEXPVEZ/UpcXzdLDGOUYwjEH+ TdqNHlzC90psifhGTxRFzJj7ZlvELC0ytxBzZr2Q5+wbSHYhjSvu9Yg+xLL+ 36gsjfiov5y2mldL//Dr6GV7ptQ2Oz+AFX4OGWdPsRNZ5O0bMjvU36Utakdo r/tOusOouF7dGF2vZrd4ya4J+Vfzn9Av8j38DclOeZafoRn9z2nK3izd5Hya vnTewXtFj9i3qu69/AP+mrOgrpl+pi10kX+Q3sN+vNbTRN/x32LGnFmkzM77 7X54U4P8n3hvcUSjeB89Tn/yfuGMfNp/1FsVcRVt8hz/ND2s7pA31fNL5Cvl EbvEDbjAP6nuPO3yDeTd5ah9neoGvKPJ71Yg3q62FjvwzHmNmVN0XO859zyr v8rZdfXVdNKOjfoqxGNqls3q03ODl9H3gDespz35DuR9/GsY5T+Wt/HviFtp f/LG5Hv1vlTx/+96Dee7ekE= "]]}, "0.1116`"], Annotation[#, 0.1116, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl0stLlGEYxuFHAjuoZZPmsYVCUCCmJegmFxbkLhOkEFo40Vb/j1IUU5xa qZvCGkEotKJiNokHUIxcKQkxWrbIQ9DGoEtc3Pzmvp/D937vN1XJnvbunIgY pclEROfZiAm8h+P4Oz9ihNJFEUOUKuFpoTyisSJiHof57dKIn7RcHLFk7uvp iDz9KzhWqF82iqs4ji/U+jxjnV8siCg6F9HLv5Pv2vPXXIls3b5qPOCT8geU 0XNL/sa5npv5gK/wor40XsZLtGbvFJ/VP4Pf+Dr5Br7lN+Uf8TvfIM9ihv8h /4xbfKO8ieb4efksZjxvCW/I/9FNylELyj8T0co/wmY8hV+ceeHw/sy0yJbt zcUn/C/vVaPW5E6OyR6ed8dlEU8pKdtzP+3qdyirt0++iXPufJZ6+ce0rfcK 1tGBu6nHlO9zFScwoX4dm6lBdo3a7Om0/zbexQ7aOdxjvpae2T/lrBf0npRX 4gn8o7ZPO3ScL5V/siPl9whN2zNprsv7vZcPyQbptfyl/L58Rj4g66d04ui/ 9x/mbmX5 "]]}, "0.10540000000000001`"], Annotation[#, 0.10540000000000001`, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl0j1I1XEUxvFT4CClebtWWEP4AoFDu5uCBCGVNUhudu910EJxksbAwUUH hSAtHSLf6G2oTBAaWqTEF1AsiqQGuVppV9MhCfxEw8P3nOf8zvP73T+3NNV+ re1QRAzQZGFEz6mIV3gX+yh7LGK0OOIRdSQilszeHY8YLopYxg/6Tv4KduNH /Mx/XxCRTEbs6Z86u4sJ/a68Rbn7+lWZf3HM3lv1CH7Dr/RMnXK+ib7IasbX cqborIw7J53lN52I+C7vB5Xzu/hr/DR/i/eLKviz8rL8djnTMlrxJs3w1923 QXPqC7wFLLCzwKuXc5WyJRFVZvn8QfMjWKOfl5mHm37HPf5LO+Pyf+rPqw+b ZbxpwP4N/n3M+T6DuIPNvAfqYUqrZ7w3g0P6T+6oxTL9vjfUqG+fjqjGN3Zb 3P2H36C+7L7reAlzzt8yy3jPc/ytP2NnG9P6XudS2CkrZ7/YLEkJqvfWJ2aV /Md4Rb/Mr8MJ/Tn+OF7UL/Eb3DGm75Y5iiP/SI38F97yUL15NKLft+gt+v8f OwA8yWb9 "]]}, "0.09920000000000001`"], Annotation[#, 0.09920000000000001, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl0t1rzmEcx/HPMuwA9+1mxtjBDkzjP5gDQmhMbZEzD1OSmB05Fo0UsQfc 28EirJUcqFFIOfOUh2buPEQ50hRlOOCElxy8e1/X9/P7fq/r97vvxs5DHV1V Sa5goC45hV6cxaeFyeVZycj8pHtu8qiUPMRwMZng1zisXpmTnOB39m/weHZS mpfU4rpni1zAD/NemDuOD2ZO8Eu89fwOeUMhueX5JTxm3m6197K93Kh2RzbD /rOeIwuSo9hZm3yx31SfzJR9tT6m3oNO2Tf7NlmNbMr6iblPscy8bnPvmnmA 7/FStXFZE3epTep5paeC5+7bYd7koqTVvNu+S+QXFyeX0IcWPUP6V/MqPJNX cw3K6mNmjDqnyv6P73Rfft68C9jjvud4ALs808f9uKHnI19z3m99wzykNoi1 6mvwwPdfwUV9zVzg5bzP/F/u/NP+oHWDnv3W9Tydv2NKfubfb2pGSU+1Wot3 mcYruaI25Mwe6+NY793b3bVZ3xZuw6C8ldfJNnOTbCNvQFm2zbtvR9kZJ501 4i6jvFWt113a+absqtpp5/bX/f8v/gVWkWJw "]]}, "0.09300000000000001`"], Annotation[#, 0.09300000000000001, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl0ktIlFEYh/HXXERgNlkquTIhmGUbaRGtzF2W5TYpL1AhKgm1qW3mJZyZ jEQwMFBcKnQRzEYCMQwKrCCoTRpRTenG0Gjl78PFw3POef/nPed8M0dbuy90 FUXEFEZKI44fjHjIvWURTcm4JOL+4YhG4wlrk/sj7vAED1VGZDCIGXuWqyLW 5bPyGfTY81h2HHPyi/yCP/ENtfe8gg/oNf/My+qlhyLecjoVMY28Xguosr59 JGILX83XnLuKL7Jtak9lL/EzbuaLeKJvO1cfiPhmXMM/+DuW3LWvIqIfLeUR 9/iMNwzyHi5CMTLmWbTLDPNZazl+bX9Bn99I67uRjN3rD/a501XnXsOK9U4u WLvJeffbdO+/eCe7jg18lDunntJrzPi8cSNm5BuSPvbv5RG1Wflp5z/nKfWw Psn/fcMFucvu15q8CznfK4s3fqNX6g+S3wGL5nle4peclpnnK/bn+J/3bmNL 3xJ0YMyZ5XIVuO3sWxiw/kiPE+6Vsl7LPd5WkK33ra4bp/U57S516DYfle/i XzJ1Mp3Gx2ROqZ9Eh/lPtbup3f/lDtvja8A= "]]}, "0.08680000000000002`"], Annotation[#, 0.08680000000000002, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl0s9LlFEUxvGjtMuZHNPGIoykEC1wJwRC1qaFZjB/QpsKRIsxSGwRhZmW JeWYaKmVuCgIrIVLV0IQhNYmJMgojKgWIcWUFH5eWjx8z3nOj3vfO7P3ZFeu syQiZul5OqItE/EMJysiOsWPKiO6cJnXjXlaUuvDAVrnD2PZ9ohbeHxnRF15 xIq5emyXF/WsZiOqt0W8wyy+x8f61/AJ1vDm9X8094k+8BbLIv4mufhnKuKU M37hmjx2RQzuiDhsLlXtDP6ZqohycYaO8Avqv/kd/Epelo7yb/O3mP9mzx/1 c/Zu4Hf5P+e9cO4P8Xn+Af1vxAdxwf2Kvmer3rxaPW9FrQG75V/5OczI3yZv ZtdrKuW38ufMp9VG1Qr01DlFmuV/8UYXk7fX34tTOEn36aXatHeawQlcxDH+ PnfZTynzl+RprJM/VN8tf5D8Nn6rZvsG8ToN6LlGQ+Jx92pSG9d31t4JzOMY v9ab3cUWb/XKzkM4Kt/DLyRvqq+gv5k/glft7KN+e0fUG+29Ir5Mn31jj/tc oBz/jv4TeNqOdrzJH6Jj4jm1e2Zu2DVV8f8/uQnAqWVo "]]}, "0.0806`"], Annotation[#, 0.0806, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl0stLlGEYxuHHRYtMU8fUMghmIwQVFGFhUagRmUbRn+Cik3SUUiZQMysT FTpYaqNTuYpoEe1aRUS6bBNhVrso2yRNFlKLro8WP+73vZ/j986kW08fPlUQ EU9xoiqiFUdxBAfKIkaKIvbSfbiUiujBVHHEOL2HZv4obaIT9CR9oObhqog2 5zcrI7KlET8TD728y/jBf8xfUR5RiGFey5qIWXWL9AOds8N7LMmtLon46LzM 7E/0kfzP9Av+yJ2nX5EX79Vvp/xX+u+g83J/86/wr+I1v9S9aHXEUKXZOFYR kXI/WB1RJlbufJt/B21iFe6HxFJilc7f9VzAgH7XMa3nDBrNy/P30H7+X/mL 9vqFBXsu+baX3qGQf058Vu4cLjpn8EKPDtqJd8k7qXlLn6spULOf34L7vBIz csm7Yzmvm/bgm/fqos/UPlGXcc7RPLL2yPJzdBJTctNm3uVdW+tb0I8JuTV2 vUG7xbpwQf75pN4eg37rrNo6vTNiW+lY8k38dmxx34xh9fXesMHbNdC0t9xN d2FIbDutF6uj68S20VoMim1Uvwln9TuDW/pvcO8wbz29aX4fv8/+x6v+/3// AaK8abc= "]]}, "0.07440000000000001`"], Annotation[#, 0.07440000000000001, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl0j1sjWEYxvG7vpZ+nPacllaJY6OCoQZdtIMW9TGwWLUMGtqlxpM4PcTg VJWhTY4WYRLMztiKpGdBSCwkhhoMkqaqEdri98bwz/Ve13Pf9/M87/vu7Bs6 PVgVEWVcrYs4tCXiCHqwpyHiZk3ELtqGoXTEIO7URvRbH1N/jt6ihfqIEVzg x/mz9DY9Tw/r7cZzvpc+oxPmfDO72GgPXJKXzX0pL5kzhcfya/I5eW0m4ons KV7Iy3hk7UdLxBI+8k2piG3qWjFv3xb+l7yVfuEXzfms56/6VXmHvLrZDPlu vg2vzE/xeTO+qq2znsKmpogu9WuyVbxx9oat7rE5Yp37DFhfTyf5tLxEN/CX 5RvpPT4jf6vvT3KG5J2YF8m6vCLP2PeGfb8n98Ko5yIqztTsDD3qF5yxSs+y 9TX1P91rn3xZ/tu9VlAjn9GzV/5B3aK1JXzyfMa8tPyh5/fqTvHv6DS/4Jx5 Osuv+A4zNMe/ls/yFz1P2W+OL5lXoXeT/wHXk2+FArL27nSOaf1deu6ry8kf 0GH9JfmwnivosH4QY+7fTgu0X21fMk99VrYDJ/SdxHH0IusdjJpzwHvNqzsm O4rt8qJ8v7w7+fcwb2au/v///Q9LOmwT "]]}, "0.06820000000000001`"], Annotation[#, 0.06820000000000001, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl009Mz3Ecx/F32mqMhPT/4kBGktIFv0IHN0sxq1xqEwdi5FdR2gqjtuLA li0mFzdWV5uKU4aLVg5dHBzExZp/Bzx+c3ju9f6836/3+/P+fn77bWo9V9+e FhFz6MuK2J8XcRAHULIuYnB1xGa6BWfXR5zBnTURzeoncBwzhRHT+MR7C8mc iFr+cb5R/qFseb5BXMdT99ykjbkRTajaaBZtxhP5i7QDtfJJeglv5Jf1zZn9 TvwWH8xv3BAxYf4kFtWeu79J7hX9UxDxW25VfsRKfOMvcd6Kl/xZzn28H+3a UhTRikY9ZWpNNLE2YkA927dl2qXOudScNHu0O5eJd6JevpyO2vM+zqvtcj6i r8AdFeIx+Qe4oFaZ6lErVNstbtD/UC3D3A71Krkl9aPyf1P7y4V3zFQvUDsk v0Iug2fWd+aYM2TP777jB0bEw5j1HUX8xVg2J13Pa/6fPD3qvVgUf9XfLf5C 573rAt7zf/YGS0iXP6a3AV327MQzc35hn9wenJJrwwL/PB7pf2zOOCb1T9l/ gra57574LrrRqd6Ffv7LtBtjfMlUDdX8Cdx21156jbbxnsQN71HH30FP8/bT FvkBelh+xJxiuw3TKrtN22sGFeIab1dJC1O/FS1Hv9k7aLVaGc1XK6XbMaXv BbaJh8zLVRukNe656r4E7aU93vwKavP+/5/+ASJGcyU= "]]}, "0.062000000000000006`"], Annotation[#, 0.062000000000000006`, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl00lLlmEUxvEjDRo4VmpOqaUNSrQJZxqkXZGZphaUEoEakYoZVFZIRkq0 iT5AmdFkmxZ9gIRaZAUlQRCh0a5NtSijgX4vLf5c97nu6znPue/nfUuP9O07 kRQRn1CUE5GdHVGWG1GOvvSI1byLaRG5/HW89ejnF/NH+Xn8DbyNGOCX8y/x C/gVvO35ER9TIyqtC7IidhVE7EZ9XkRhZkQDHfRc9/KIaeujKz2vbpI/RVto K3r4vYk9vbbpc42+kh/hDds/izH58/QCLvPHMI5u+R68sH9DPUNvyhzjTSZ6 m7kX9WaeNvtx6y8yp+msupV/znoY7+Q/eO6HPt/xBpszIp44S5rsHzP9xgL/ p+wC/vKLVrlL5GPencwhmz/jHMnWi72jxF4xUry7mrbpW0X30xn9n6Ne3a6u oXWoxSJ3N6vPlPla9HpIh/TL0ueB9RrefZqpHuRn0HvqUv5dmq4e4KfRO+oS /iRNVffxb1lP4LV3JHnXS7qMn4Jms2wyw1Y6uiJiD61QN9HKxIy03X10oA1d vn0n5tzhEvtLsThxZiQjR75Zbh/2otKZD8hPyt/GCvtv3e1Xe98wwXtknl/Y aZ5GPHOvV5yh38zvZap5VdiCNt5+XJf/jKdyD5xz1Heaoo367cBh9VX1IdqF TowkZqEHcdIMQ4nfmB5l8rW8OtSgAfU4I19Nh/XplO3Catlx863ln+B38B6b cVifeazhF+b8/y/+A/zvci4= "]]}, "0.0558`"], Annotation[#, 0.0558, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl1NtPyGEcx/FHMqUjOqhUOqywUMhcKGdCmzl0UmIm1sGhzDotykVmXPEP hBVXDhvrwi1jw+awkRsz1829cnr95uLd5/l+vt/n+3yfX08VnDh38OycEEKC H23JIWRnhrAUOchaGMJQIi9DjExkYQkG+U+zQsiwvpIUQjodoXn25SMXnfpN ZofwTW1vaghnxMv4XbQgqtG/NS2Eo2jBWl4F+tVW0g1Yh0H162mR+h513TiP 6/w6/mX1w3hrngv8G/x6/ph5ytJDuE13me+VWV5iVO4qDvMa0YAP/AnePZwT 96Abr8VvojOsP+vTot8U3e+slc787LwpNCwOIS0lhLlLzE3n0EoaQ5vlWnNC WKX+kH11OIyN8svlV6AEteJSOqy+XX25+mZ1FfQW7ybyzZmHRHNsUbsZCe7b J95qvQ07sB3jZp5Av9xO8R09c6NvYR2zKIRZfX5ht7jV2XG8+fjk9xVPF+AY P8n+InUf+Xn216h/oO9DDMjtEd/VO19ur/U+PJJbZK5B+Vrxb/v/IFmcglTE 6j8PTc5IEKfJpyNHn2nayN9kbzWqEK9fES3GPPVxauKRof47rVFfILeHFtK/ /J/eTLl4JnpbdJaetrcNP+RHzTntGz9zt1hxA78eg9Hd8Jg/g2peFTp5HRjj fbFvHW8tyvHE/hH975tzOHpL0f3d7xodEo/TUW/lnX3v0SfXJe5EB6p5VehV d0D9wWhW/nPeC7SrbxYfQRNyvYs23kmsUttjXxldg9XRGzdPiVlHaSmd1OOy uYusi7EMhSjApejv3LcaoA161+OUfpm8DBx3xle5i6n//0/8AznSerA= "]]}, "0.049600000000000005`"], Annotation[#, 0.049600000000000005`, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl1EdwjlEUxvHLCilCIomy0DcYorPBwobRItFjiKgjsVEj+ZKoI6POGJY2 mNFJotcZvcxow0Lb6GYQLPTyu2Px/557nnPuufe+732/doULcksahBB6+ClK DWFvqxBm0H00u1kIdS1DqEUNjvAOY3FaCEfpMdSgDrVoo74qOYRzas/iDO80 lqo/Ty/gLEr1P0fbq1+QEUIJilHNT6h9qcct829iaGYIO1JC6NIihG64ZN5l XMRe9SuzQtjVOoTjatbxTtCx5tyW2yW3W+4yr1ruCi2R+yT3SPwEj/GQP1nv AkzFR+vWIy89hHz0bhrCb7160T90Am+yvl3tdRItwBT0k3+r3zu8whu8RkL9 TPlZKMIczMYI9d/lf+ArCsTf6Fb1xfK99Z9P+9DtvG3oKZ+DRvxR2d6b8Xrj 7jTDucrsfzR/DObod8R5W/DL+bm8nWrbOW9jutGcTchDE3F7fhLdLN6CfCSL O/BTaI1etUjoNVavPMy1Rh0v0xoV/HG8XuZtiPuPPcSp8QzGfZHUXE9MN6+j uBM6o601grpp/L/ihsYNkK7vZ/EXZCILd92PNuo/GH/Ee3xCfTyH+hf0ZRzH 9eIZ4jz1z+kw/TvZ03D60/37gV/eaU/xWueoVzcr3gH6VP2z2N9d+IBJ/ImY gAfyCfWv+UPEgzEo3k9+Mf8x/xHumn8nfiv8HPmjNFd+j32usG65Z5HAbnG1 b+CeOfdRyrtBr+MaxnsW47BWXR7NxxX+VazxPOapr6RnxKcxOt4PLFI/go7E Cf5JnMIM9YfoQRxAljtWGN8L+oszxf3oQAxAhX2nx3dPM+h+XnNaLm5KmyEN y+xhlfOuRhVWYkX8D+BX0EqUxW8C5VjCTzEvFUko0y+Z7tO/CV0e7yotpdme V0tkodC59pj/1PyFaf//u/4BO5Ku4A== "]]}, "0.04340000000000001`"], Annotation[#, 0.04340000000000001, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[{3188, 7044, 4115, 4700, 4699, 3189, 5638, 5639, 5637, 3447, 5640, 6565, 6564, 3674, 6819, 3448, 5396, 6453, 7068, 3291, 6454, 4701, 6976, 6977, 6975, 6979, 6978, 3675, 6983, 4121, 6981, 4120, 6982, 4710, 6985, 4122, 6984, 4123, 6986, 3687, 6995, 4127, 6993, 4126, 6994, 4715, 6841, 3704, 6840, 3705, 6842, 3472, 5411, 5412, 3300, 3207, 4732, 3219}], LineBox[{3267, 4950, 6879, 6143, 6144, 6797, 6796, 3584, 7011, 4143, 6669, 6670, 6671, 5009, 6682, 6681, 6680, 4146, 7018, 3932, 7019, 4147, 6683, 6684, 6685, 5013, 6700, 6699, 6698, 4150, 7022, 3943, 7023, 7024, 6701, 6702, 3285, 5017, 3287, 5814, 5815, 5813, 3607, 6936, 3952, 6935, 3951, 5816, 3608, 5504, 6492, 6742, 3365, 6493, 5020, 5021, 3953, 7054, 3288}], LineBox[{4735, 4385, 5936, 5672, 5673, 6792, 6791, 3464, 6790, 3690, 6831, 6576, 6577, 3295, 6829, 3688, 6828, 3689, 6830, 3456, 6824, 3681, 6568, 6569, 6570, 3292, 6822, 3679, 6821, 3680, 6823, 3449, 6813, 6814, 6560, 6561, 3186, 3290, 5909, 5631, 5632, 5395, 5910, 6815, 3672, 6562, 6563, 5634, 3446, 5633, 5636, 5635, 3187, 4371, 4372, 3673, 6816, 6818, 6817}], LineBox[{5008, 3352, 3277, 5792, 5793, 5494, 5495, 6902, 3931, 6900, 3930, 6901, 4614, 6697, 6696, 6695, 3938, 6915, 4301, 6918, 3940, 6916, 3939, 6917, 4621, 6713, 6712, 6711, 3946, 6927, 4302, 6931, 6932, 6928, 6930, 6929, 4622, 3289, 5820, 5821, 5819, 3609, 6941, 3956, 6940, 3955, 6233, 6232, 5505, 5818, 5817, 6231, 3366, 4303, 3954, 6937, 6939, 6938}]}, "0.037200000000000004`"], Annotation[#, 0.037200000000000004`, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.4], LineBox[{3190, 6566, 4116, 6980, 3676, 4702, 6567, 6820, 3677, 5506, 5507, 5044, 3979, 5150, 4198, 4199, 4117, 4201, 4200}], LineBox[{3670, 6811, 3671, 6812, 3445, 4370, 5205, 5204, 3667, 5905, 3961, 5908, 3669, 5906, 3668, 5907, 4373, 4703, 3678}], LineBox[{3947, 5018, 3364, 6715, 6714, 6933, 3948, 5528, 6749, 6235, 3958, 6234, 3957, 4305, 4304, 6943, 3960, 6942, 3959}], LineBox[{5393, 5394, 5016, 6919, 3941, 6221, 3942, 6222, 6748, 6294, 4030, 6293, 4029, 5019, 3949, 6934, 3950, 6716, 6717}]}, "0.031000000000000003`"], Annotation[#, 0.031000000000000003`, "Tooltip"]& ], {}, {}}}], AspectRatio->1, Epilog->{ Thickness[0.006], LineBox[{{-1, 0}, {1, 0}}]}, Frame->True, PlotRange->{{-2, 2}, {-2, 2}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"{", RowBox[{ RowBox[{"Graphics3D", "[", RowBox[{"{", RowBox[{"Black", ",", " ", RowBox[{"Opacity", "[", "0.8", "]"}], ",", " ", RowBox[{"EdgeForm", "[", "]"}], ",", RowBox[{"Polygon", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Cos", "[", "\[CurlyPhi]", "]"}], ",", " ", RowBox[{"Sin", "[", "\[CurlyPhi]", "]"}], ",", "0"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"\[CurlyPhi]", ",", " ", "0", ",", " ", RowBox[{"2", "Pi"}], ",", " ", RowBox[{"2", RowBox[{"Pi", "/", "240"}]}]}], "}"}]}], "]"}], "]"}]}], "}"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"ContourPlot3D", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"\[CapitalPhi]", " ", "/.", " ", RowBox[{"r", " ", "\[Rule]", " ", RowBox[{"Sqrt", "[", RowBox[{ RowBox[{"x", "^", "2"}], "+", RowBox[{"y", "^", "2"}]}], "]"}]}]}], "]"}], ",", " ", RowBox[{"{", RowBox[{"x", ",", " ", RowBox[{"-", "2"}], ",", " ", "2"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"y", ",", " ", RowBox[{"-", "2"}], ",", " ", "2"}], "}"}], ",", RowBox[{"{", RowBox[{"z", ",", " ", RowBox[{"-", "2"}], ",", " ", "2"}], "}"}], ",", " ", RowBox[{"Contours", " ", "\[Rule]", " ", "3"}], ",", "\[IndentingNewLine]", " ", RowBox[{"ContourStyle", " ", "\[Rule]", " ", RowBox[{"{", RowBox[{"Blue", ",", " ", "Yellow", ",", " ", "Red"}], " ", "}"}]}], ",", " ", RowBox[{"RegionFunction", " ", "\[Rule]", " ", RowBox[{"(", RowBox[{ RowBox[{"Not", "[", RowBox[{ RowBox[{"#1", ">", "0"}], "&&", RowBox[{"#2", "<", "0"}]}], "]"}], "&"}], ")"}]}], ",", "\[IndentingNewLine]", " ", RowBox[{"MaxRecursion", " ", "\[Rule]", "1"}], ",", " ", RowBox[{"Mesh", " ", "\[Rule]", " ", "False"}], ",", " ", RowBox[{"Axes", " ", "\[Rule]", " ", "False"}]}], "]"}]}], "}"}], "]"}]], "Input"], Cell[BoxData[ Graphics3DBox[{ {GrayLevel[0], Opacity[0.8], EdgeForm[None], Polygon3DBox[ NCache[{{1, 0, 0}, { Cos[Rational[1, 120] Pi], Sin[Rational[1, 120] Pi], 0}, { Cos[Rational[1, 60] Pi], Sin[Rational[1, 60] Pi], 0}, { Cos[Rational[1, 40] Pi], Sin[Rational[1, 40] Pi], 0}, { Cos[Rational[1, 30] Pi], Sin[Rational[1, 30] Pi], 0}, { Cos[Rational[1, 24] Pi], Sin[Rational[1, 24] Pi], 0}, { Cos[Rational[1, 20] Pi], Sin[Rational[1, 20] Pi], 0}, { Cos[Rational[7, 120] Pi], Sin[Rational[7, 120] Pi], 0}, { Cos[Rational[1, 15] Pi], Sin[Rational[1, 15] Pi], 0}, { Cos[Rational[3, 40] Pi], Sin[Rational[3, 40] Pi], 0}, { Rational[1, 2] 2^Rational[-1, 2] (1 + 3^Rational[1, 2]), Rational[1, 2] 2^Rational[-1, 2] (-1 + 3^Rational[1, 2]), 0}, { Cos[Rational[11, 120] Pi], Sin[Rational[11, 120] Pi], 0}, {(Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2]), 0}, { Cos[Rational[13, 120] Pi], Sin[Rational[13, 120] Pi], 0}, { Cos[Rational[7, 60] Pi], Sin[Rational[7, 60] Pi], 0}, { Cos[Rational[1, 8] Pi], Sin[Rational[1, 8] Pi], 0}, { Cos[Rational[2, 15] Pi], Sin[Rational[2, 15] Pi], 0}, { Cos[Rational[17, 120] Pi], Sin[Rational[17, 120] Pi], 0}, { Cos[Rational[3, 20] Pi], Sin[Rational[3, 20] Pi], 0}, { Cos[Rational[19, 120] Pi], Sin[Rational[19, 120] Pi], 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2], 0}, { Cos[Rational[7, 40] Pi], Sin[Rational[7, 40] Pi], 0}, { Cos[Rational[11, 60] Pi], Sin[Rational[11, 60] Pi], 0}, { Cos[Rational[23, 120] Pi], Sin[Rational[23, 120] Pi], 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2], 0}, { Cos[Rational[5, 24] Pi], Sin[Rational[5, 24] Pi], 0}, { Cos[Rational[13, 60] Pi], Sin[Rational[13, 60] Pi], 0}, { Cos[Rational[9, 40] Pi], Sin[Rational[9, 40] Pi], 0}, { Cos[Rational[7, 30] Pi], Sin[Rational[7, 30] Pi], 0}, { Cos[Rational[29, 120] Pi], Sin[Rational[29, 120] Pi], 0}, { 2^Rational[-1, 2], 2^Rational[-1, 2], 0}, { Sin[Rational[29, 120] Pi], Cos[Rational[29, 120] Pi], 0}, { Sin[Rational[7, 30] Pi], Cos[Rational[7, 30] Pi], 0}, { Sin[Rational[9, 40] Pi], Cos[Rational[9, 40] Pi], 0}, { Sin[Rational[13, 60] Pi], Cos[Rational[13, 60] Pi], 0}, { Sin[Rational[5, 24] Pi], Cos[Rational[5, 24] Pi], 0}, {(Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2], Rational[1, 4] (1 + 5^Rational[1, 2]), 0}, { Sin[Rational[23, 120] Pi], Cos[Rational[23, 120] Pi], 0}, { Sin[Rational[11, 60] Pi], Cos[Rational[11, 60] Pi], 0}, { Sin[Rational[7, 40] Pi], Cos[Rational[7, 40] Pi], 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2], 0}, { Sin[Rational[19, 120] Pi], Cos[Rational[19, 120] Pi], 0}, { Sin[Rational[3, 20] Pi], Cos[Rational[3, 20] Pi], 0}, { Sin[Rational[17, 120] Pi], Cos[Rational[17, 120] Pi], 0}, { Sin[Rational[2, 15] Pi], Cos[Rational[2, 15] Pi], 0}, { Sin[Rational[1, 8] Pi], Cos[Rational[1, 8] Pi], 0}, { Sin[Rational[7, 60] Pi], Cos[Rational[7, 60] Pi], 0}, { Sin[Rational[13, 120] Pi], Cos[Rational[13, 120] Pi], 0}, { Rational[1, 4] (-1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2], 0}, { Sin[Rational[11, 120] Pi], Cos[Rational[11, 120] Pi], 0}, { Rational[1, 2] 2^Rational[-1, 2] (-1 + 3^Rational[1, 2]), Rational[1, 2] 2^Rational[-1, 2] (1 + 3^Rational[1, 2]), 0}, { Sin[Rational[3, 40] Pi], Cos[Rational[3, 40] Pi], 0}, { Sin[Rational[1, 15] Pi], Cos[Rational[1, 15] Pi], 0}, { Sin[Rational[7, 120] Pi], Cos[Rational[7, 120] Pi], 0}, { Sin[Rational[1, 20] Pi], Cos[Rational[1, 20] Pi], 0}, { Sin[Rational[1, 24] Pi], Cos[Rational[1, 24] Pi], 0}, { Sin[Rational[1, 30] Pi], Cos[Rational[1, 30] Pi], 0}, { Sin[Rational[1, 40] Pi], Cos[Rational[1, 40] Pi], 0}, { Sin[Rational[1, 60] Pi], Cos[Rational[1, 60] Pi], 0}, { Sin[Rational[1, 120] Pi], Cos[Rational[1, 120] Pi], 0}, {0, 1, 0}, {-Sin[Rational[1, 120] Pi], Cos[Rational[1, 120] Pi], 0}, {- Sin[Rational[1, 60] Pi], Cos[Rational[1, 60] Pi], 0}, {- Sin[Rational[1, 40] Pi], Cos[Rational[1, 40] Pi], 0}, {- Sin[Rational[1, 30] Pi], Cos[Rational[1, 30] Pi], 0}, {- Sin[Rational[1, 24] Pi], Cos[Rational[1, 24] Pi], 0}, {- Sin[Rational[1, 20] Pi], Cos[Rational[1, 20] Pi], 0}, {- Sin[Rational[7, 120] Pi], Cos[Rational[7, 120] Pi], 0}, {- Sin[Rational[1, 15] Pi], Cos[Rational[1, 15] Pi], 0}, {- Sin[Rational[3, 40] Pi], Cos[Rational[3, 40] Pi], 0}, { Rational[-1, 2] 2^Rational[-1, 2] (-1 + 3^Rational[1, 2]), Rational[1, 2] 2^Rational[-1, 2] (1 + 3^Rational[1, 2]), 0}, {- Sin[Rational[11, 120] Pi], Cos[Rational[11, 120] Pi], 0}, { Rational[1, 4] (1 - 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2], 0}, {- Sin[Rational[13, 120] Pi], Cos[Rational[13, 120] Pi], 0}, {- Sin[Rational[7, 60] Pi], Cos[Rational[7, 60] Pi], 0}, {- Sin[Rational[1, 8] Pi], Cos[Rational[1, 8] Pi], 0}, {- Sin[Rational[2, 15] Pi], Cos[Rational[2, 15] Pi], 0}, {- Sin[Rational[17, 120] Pi], Cos[Rational[17, 120] Pi], 0}, {- Sin[Rational[3, 20] Pi], Cos[Rational[3, 20] Pi], 0}, {- Sin[Rational[19, 120] Pi], Cos[Rational[19, 120] Pi], 0}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2], 0}, {- Sin[Rational[7, 40] Pi], Cos[Rational[7, 40] Pi], 0}, {- Sin[Rational[11, 60] Pi], Cos[Rational[11, 60] Pi], 0}, {- Sin[Rational[23, 120] Pi], Cos[Rational[23, 120] Pi], 0}, {-(Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2], Rational[1, 4] (1 + 5^Rational[1, 2]), 0}, {- Sin[Rational[5, 24] Pi], Cos[Rational[5, 24] Pi], 0}, {- Sin[Rational[13, 60] Pi], Cos[Rational[13, 60] Pi], 0}, {- Sin[Rational[9, 40] Pi], Cos[Rational[9, 40] Pi], 0}, {- Sin[Rational[7, 30] Pi], Cos[Rational[7, 30] Pi], 0}, {- Sin[Rational[29, 120] Pi], Cos[Rational[29, 120] Pi], 0}, {-2^Rational[-1, 2], 2^Rational[-1, 2], 0}, {- Cos[Rational[29, 120] Pi], Sin[Rational[29, 120] Pi], 0}, {- Cos[Rational[7, 30] Pi], Sin[Rational[7, 30] Pi], 0}, {- Cos[Rational[9, 40] Pi], Sin[Rational[9, 40] Pi], 0}, {- Cos[Rational[13, 60] Pi], Sin[Rational[13, 60] Pi], 0}, {- Cos[Rational[5, 24] Pi], Sin[Rational[5, 24] Pi], 0}, { Rational[1, 4] (-1 - 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2], 0}, {- Cos[Rational[23, 120] Pi], Sin[Rational[23, 120] Pi], 0}, {- Cos[Rational[11, 60] Pi], Sin[Rational[11, 60] Pi], 0}, {- Cos[Rational[7, 40] Pi], Sin[Rational[7, 40] Pi], 0}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2], 0}, {- Cos[Rational[19, 120] Pi], Sin[Rational[19, 120] Pi], 0}, {- Cos[Rational[3, 20] Pi], Sin[Rational[3, 20] Pi], 0}, {- Cos[Rational[17, 120] Pi], Sin[Rational[17, 120] Pi], 0}, {- Cos[Rational[2, 15] Pi], Sin[Rational[2, 15] Pi], 0}, {- Cos[Rational[1, 8] Pi], Sin[Rational[1, 8] Pi], 0}, {- Cos[Rational[7, 60] Pi], Sin[Rational[7, 60] Pi], 0}, {- Cos[Rational[13, 120] Pi], Sin[Rational[13, 120] Pi], 0}, {-(Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2]), 0}, {- Cos[Rational[11, 120] Pi], Sin[Rational[11, 120] Pi], 0}, { Rational[-1, 2] 2^Rational[-1, 2] (1 + 3^Rational[1, 2]), Rational[1, 2] 2^Rational[-1, 2] (-1 + 3^Rational[1, 2]), 0}, {- Cos[Rational[3, 40] Pi], Sin[Rational[3, 40] Pi], 0}, {- Cos[Rational[1, 15] Pi], Sin[Rational[1, 15] Pi], 0}, {- Cos[Rational[7, 120] Pi], Sin[Rational[7, 120] Pi], 0}, {- Cos[Rational[1, 20] Pi], Sin[Rational[1, 20] Pi], 0}, {- Cos[Rational[1, 24] Pi], Sin[Rational[1, 24] Pi], 0}, {- Cos[Rational[1, 30] Pi], Sin[Rational[1, 30] Pi], 0}, {- Cos[Rational[1, 40] Pi], Sin[Rational[1, 40] Pi], 0}, {- Cos[Rational[1, 60] Pi], Sin[Rational[1, 60] Pi], 0}, {- Cos[Rational[1, 120] Pi], Sin[Rational[1, 120] Pi], 0}, {-1, 0, 0}, {-Cos[Rational[1, 120] Pi], -Sin[Rational[1, 120] Pi], 0}, {- Cos[Rational[1, 60] Pi], -Sin[Rational[1, 60] Pi], 0}, {- Cos[Rational[1, 40] Pi], -Sin[Rational[1, 40] Pi], 0}, {- Cos[Rational[1, 30] Pi], -Sin[Rational[1, 30] Pi], 0}, {- Cos[Rational[1, 24] Pi], -Sin[Rational[1, 24] Pi], 0}, {- Cos[Rational[1, 20] Pi], -Sin[Rational[1, 20] Pi], 0}, {- Cos[Rational[7, 120] Pi], -Sin[Rational[7, 120] Pi], 0}, {- Cos[Rational[1, 15] Pi], -Sin[Rational[1, 15] Pi], 0}, {- Cos[Rational[3, 40] Pi], -Sin[Rational[3, 40] Pi], 0}, { Rational[-1, 2] 2^Rational[-1, 2] (1 + 3^Rational[1, 2]), Rational[-1, 2] 2^Rational[-1, 2] (-1 + 3^Rational[1, 2]), 0}, {- Cos[Rational[11, 120] Pi], -Sin[Rational[11, 120] Pi], 0}, {-(Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2], Rational[1, 4] (1 - 5^Rational[1, 2]), 0}, {- Cos[Rational[13, 120] Pi], -Sin[Rational[13, 120] Pi], 0}, {- Cos[Rational[7, 60] Pi], -Sin[Rational[7, 60] Pi], 0}, {- Cos[Rational[1, 8] Pi], -Sin[Rational[1, 8] Pi], 0}, {- Cos[Rational[2, 15] Pi], -Sin[Rational[2, 15] Pi], 0}, {- Cos[Rational[17, 120] Pi], -Sin[Rational[17, 120] Pi], 0}, {- Cos[Rational[3, 20] Pi], -Sin[Rational[3, 20] Pi], 0}, {- Cos[Rational[19, 120] Pi], -Sin[Rational[19, 120] Pi], 0}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2], 0}, {- Cos[Rational[7, 40] Pi], -Sin[Rational[7, 40] Pi], 0}, {- Cos[Rational[11, 60] Pi], -Sin[Rational[11, 60] Pi], 0}, {- Cos[Rational[23, 120] Pi], -Sin[Rational[23, 120] Pi], 0}, { Rational[1, 4] (-1 - 5^ Rational[1, 2]), -(Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2], 0}, {- Cos[Rational[5, 24] Pi], -Sin[Rational[5, 24] Pi], 0}, {- Cos[Rational[13, 60] Pi], -Sin[Rational[13, 60] Pi], 0}, {- Cos[Rational[9, 40] Pi], -Sin[Rational[9, 40] Pi], 0}, {- Cos[Rational[7, 30] Pi], -Sin[Rational[7, 30] Pi], 0}, {- Cos[Rational[29, 120] Pi], -Sin[Rational[29, 120] Pi], 0}, {-2^Rational[-1, 2], -2^Rational[-1, 2], 0}, {- Sin[Rational[29, 120] Pi], -Cos[Rational[29, 120] Pi], 0}, {- Sin[Rational[7, 30] Pi], -Cos[Rational[7, 30] Pi], 0}, {- Sin[Rational[9, 40] Pi], -Cos[Rational[9, 40] Pi], 0}, {- Sin[Rational[13, 60] Pi], -Cos[Rational[13, 60] Pi], 0}, {- Sin[Rational[5, 24] Pi], -Cos[Rational[5, 24] Pi], 0}, {-(Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2]), 0}, {- Sin[Rational[23, 120] Pi], -Cos[Rational[23, 120] Pi], 0}, {- Sin[Rational[11, 60] Pi], -Cos[Rational[11, 60] Pi], 0}, {- Sin[Rational[7, 40] Pi], -Cos[Rational[7, 40] Pi], 0}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2], 0}, {- Sin[Rational[19, 120] Pi], -Cos[Rational[19, 120] Pi], 0}, {- Sin[Rational[3, 20] Pi], -Cos[Rational[3, 20] Pi], 0}, {- Sin[Rational[17, 120] Pi], -Cos[Rational[17, 120] Pi], 0}, {- Sin[Rational[2, 15] Pi], -Cos[Rational[2, 15] Pi], 0}, {- Sin[Rational[1, 8] Pi], -Cos[Rational[1, 8] Pi], 0}, {- Sin[Rational[7, 60] Pi], -Cos[Rational[7, 60] Pi], 0}, {- Sin[Rational[13, 120] Pi], -Cos[Rational[13, 120] Pi], 0}, { Rational[1, 4] (1 - 5^ Rational[1, 2]), -(Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2], 0}, {-Sin[Rational[11, 120] Pi], - Cos[Rational[11, 120] Pi], 0}, { Rational[-1, 2] 2^Rational[-1, 2] (-1 + 3^Rational[1, 2]), Rational[-1, 2] 2^Rational[-1, 2] (1 + 3^Rational[1, 2]), 0}, {- Sin[Rational[3, 40] Pi], -Cos[Rational[3, 40] Pi], 0}, {- Sin[Rational[1, 15] Pi], -Cos[Rational[1, 15] Pi], 0}, {- Sin[Rational[7, 120] Pi], -Cos[Rational[7, 120] Pi], 0}, {- Sin[Rational[1, 20] Pi], -Cos[Rational[1, 20] Pi], 0}, {- Sin[Rational[1, 24] Pi], -Cos[Rational[1, 24] Pi], 0}, {- Sin[Rational[1, 30] Pi], -Cos[Rational[1, 30] Pi], 0}, {- Sin[Rational[1, 40] Pi], -Cos[Rational[1, 40] Pi], 0}, {- Sin[Rational[1, 60] Pi], -Cos[Rational[1, 60] Pi], 0}, {- Sin[Rational[1, 120] Pi], -Cos[Rational[1, 120] Pi], 0}, {0, -1, 0}, { Sin[Rational[1, 120] Pi], -Cos[Rational[1, 120] Pi], 0}, { Sin[Rational[1, 60] Pi], -Cos[Rational[1, 60] Pi], 0}, { Sin[Rational[1, 40] Pi], -Cos[Rational[1, 40] Pi], 0}, { Sin[Rational[1, 30] Pi], -Cos[Rational[1, 30] Pi], 0}, { Sin[Rational[1, 24] Pi], -Cos[Rational[1, 24] Pi], 0}, { Sin[Rational[1, 20] Pi], -Cos[Rational[1, 20] Pi], 0}, { Sin[Rational[7, 120] Pi], -Cos[Rational[7, 120] Pi], 0}, { Sin[Rational[1, 15] Pi], -Cos[Rational[1, 15] Pi], 0}, { Sin[Rational[3, 40] Pi], -Cos[Rational[3, 40] Pi], 0}, { Rational[1, 2] 2^Rational[-1, 2] (-1 + 3^Rational[1, 2]), Rational[-1, 2] 2^Rational[-1, 2] (1 + 3^Rational[1, 2]), 0}, { Sin[Rational[11, 120] Pi], -Cos[Rational[11, 120] Pi], 0}, { Rational[1, 4] (-1 + 5^Rational[1, 2]), -(Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2], 0}, { Sin[Rational[13, 120] Pi], -Cos[Rational[13, 120] Pi], 0}, { Sin[Rational[7, 60] Pi], -Cos[Rational[7, 60] Pi], 0}, { Sin[Rational[1, 8] Pi], -Cos[Rational[1, 8] Pi], 0}, { Sin[Rational[2, 15] Pi], -Cos[Rational[2, 15] Pi], 0}, { Sin[Rational[17, 120] Pi], -Cos[Rational[17, 120] Pi], 0}, { Sin[Rational[3, 20] Pi], -Cos[Rational[3, 20] Pi], 0}, { Sin[Rational[19, 120] Pi], -Cos[Rational[19, 120] Pi], 0}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2], 0}, { Sin[Rational[7, 40] Pi], -Cos[Rational[7, 40] Pi], 0}, { Sin[Rational[11, 60] Pi], -Cos[Rational[11, 60] Pi], 0}, { Sin[Rational[23, 120] Pi], -Cos[Rational[23, 120] Pi], 0}, {(Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2]), 0}, { Sin[Rational[5, 24] Pi], -Cos[Rational[5, 24] Pi], 0}, { Sin[Rational[13, 60] Pi], -Cos[Rational[13, 60] Pi], 0}, { Sin[Rational[9, 40] Pi], -Cos[Rational[9, 40] Pi], 0}, { Sin[Rational[7, 30] Pi], -Cos[Rational[7, 30] Pi], 0}, { Sin[Rational[29, 120] Pi], -Cos[Rational[29, 120] Pi], 0}, { 2^Rational[-1, 2], -2^Rational[-1, 2], 0}, { Cos[Rational[29, 120] Pi], -Sin[Rational[29, 120] Pi], 0}, { Cos[Rational[7, 30] Pi], -Sin[Rational[7, 30] Pi], 0}, { Cos[Rational[9, 40] Pi], -Sin[Rational[9, 40] Pi], 0}, { Cos[Rational[13, 60] Pi], -Sin[Rational[13, 60] Pi], 0}, { Cos[Rational[5, 24] Pi], -Sin[Rational[5, 24] Pi], 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), -(Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2], 0}, { Cos[Rational[23, 120] Pi], -Sin[Rational[23, 120] Pi], 0}, { Cos[Rational[11, 60] Pi], -Sin[Rational[11, 60] Pi], 0}, { Cos[Rational[7, 40] Pi], -Sin[Rational[7, 40] Pi], 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2], 0}, { Cos[Rational[19, 120] Pi], -Sin[Rational[19, 120] Pi], 0}, { Cos[Rational[3, 20] Pi], -Sin[Rational[3, 20] Pi], 0}, { Cos[Rational[17, 120] Pi], -Sin[Rational[17, 120] Pi], 0}, { Cos[Rational[2, 15] Pi], -Sin[Rational[2, 15] Pi], 0}, { Cos[Rational[1, 8] Pi], -Sin[Rational[1, 8] Pi], 0}, { Cos[Rational[7, 60] Pi], -Sin[Rational[7, 60] Pi], 0}, { Cos[Rational[13, 120] Pi], -Sin[Rational[13, 120] Pi], 0}, {(Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2], Rational[1, 4] (1 - 5^Rational[1, 2]), 0}, { Cos[Rational[11, 120] Pi], -Sin[Rational[11, 120] Pi], 0}, { Rational[1, 2] 2^Rational[-1, 2] (1 + 3^Rational[1, 2]), Rational[-1, 2] 2^Rational[-1, 2] (-1 + 3^Rational[1, 2]), 0}, { Cos[Rational[3, 40] Pi], -Sin[Rational[3, 40] Pi], 0}, { Cos[Rational[1, 15] Pi], -Sin[Rational[1, 15] Pi], 0}, { Cos[Rational[7, 120] Pi], -Sin[Rational[7, 120] Pi], 0}, { Cos[Rational[1, 20] Pi], -Sin[Rational[1, 20] Pi], 0}, { Cos[Rational[1, 24] Pi], -Sin[Rational[1, 24] Pi], 0}, { Cos[Rational[1, 30] Pi], -Sin[Rational[1, 30] Pi], 0}, { Cos[Rational[1, 40] Pi], -Sin[Rational[1, 40] Pi], 0}, { Cos[Rational[1, 60] Pi], -Sin[Rational[1, 60] Pi], 0}, { Cos[Rational[1, 120] Pi], -Sin[Rational[1, 120] Pi], 0}, {1, 0, 0}}, {{ 1, 0, 0}, {0.9996573249755573, 0.02617694830787315, 0}, { 0.9986295347545738, 0.05233595624294383, 0}, { 0.996917333733128, 0.07845909572784494, 0}, { 0.9945218953682733, 0.10452846326765346`, 0}, { 0.9914448613738104, 0.13052619222005157`, 0}, { 0.9876883405951378, 0.15643446504023087`, 0}, { 0.9832549075639546, 0.18223552549214747`, 0}, { 0.9781476007338057, 0.20791169081775931`, 0}, { 0.9723699203976766, 0.2334453638559054, 0}, { 0.9659258262890682, 0.2588190451025207, 0}, { 0.958819734868193, 0.2840153447039226, 0}, { 0.9510565162951535, 0.30901699437494745`, 0}, { 0.9426414910921784, 0.33380685923377096`, 0}, { 0.9335804264972017, 0.35836794954530027`, 0}, { 0.9238795325112867, 0.3826834323650898, 0}, { 0.9135454576426009, 0.40673664307580015`, 0}, { 0.9025852843498606, 0.4305110968082951, 0}, { 0.8910065241883679, 0.45399049973954675`, 0}, { 0.8788171126619654, 0.4771587602596084, 0}, { 0.8660254037844386, 0.5, 0}, { 0.8526401643540923, 0.5224985647159488, 0}, { 0.838670567945424, 0.544639035015027, 0}, { 0.8241261886220157, 0.5664062369248328, 0}, { 0.8090169943749475, 0.5877852522924731, 0}, { 0.7933533402912352, 0.6087614290087207, 0}, { 0.7771459614569708, 0.6293203910498375, 0}, { 0.760405965600031, 0.6494480483301837, 0}, { 0.7431448254773942, 0.6691306063588582, 0}, { 0.7253743710122877, 0.6883545756937539, 0}, { 0.7071067811865475, 0.7071067811865475, 0}, { 0.6883545756937539, 0.7253743710122877, 0}, { 0.6691306063588582, 0.7431448254773942, 0}, { 0.6494480483301837, 0.760405965600031, 0}, { 0.6293203910498375, 0.7771459614569708, 0}, { 0.6087614290087207, 0.7933533402912352, 0}, { 0.5877852522924731, 0.8090169943749475, 0}, { 0.5664062369248328, 0.8241261886220157, 0}, { 0.544639035015027, 0.838670567945424, 0}, { 0.5224985647159488, 0.8526401643540923, 0}, { 0.5, 0.8660254037844386, 0}, { 0.4771587602596084, 0.8788171126619654, 0}, { 0.45399049973954675`, 0.8910065241883679, 0}, { 0.4305110968082951, 0.9025852843498606, 0}, { 0.40673664307580015`, 0.9135454576426009, 0}, { 0.3826834323650898, 0.9238795325112867, 0}, { 0.35836794954530027`, 0.9335804264972017, 0}, { 0.33380685923377096`, 0.9426414910921784, 0}, { 0.30901699437494745`, 0.9510565162951535, 0}, { 0.2840153447039226, 0.958819734868193, 0}, { 0.2588190451025207, 0.9659258262890682, 0}, { 0.2334453638559054, 0.9723699203976766, 0}, { 0.20791169081775931`, 0.9781476007338057, 0}, { 0.18223552549214747`, 0.9832549075639546, 0}, { 0.15643446504023087`, 0.9876883405951378, 0}, { 0.13052619222005157`, 0.9914448613738104, 0}, { 0.10452846326765346`, 0.9945218953682733, 0}, { 0.07845909572784494, 0.996917333733128, 0}, { 0.05233595624294383, 0.9986295347545738, 0}, { 0.02617694830787315, 0.9996573249755573, 0}, {0, 1, 0}, {-0.02617694830787315, 0.9996573249755573, 0}, {-0.05233595624294383, 0.9986295347545738, 0}, {-0.07845909572784494, 0.996917333733128, 0}, {-0.10452846326765346`, 0.9945218953682733, 0}, {-0.13052619222005157`, 0.9914448613738104, 0}, {-0.15643446504023087`, 0.9876883405951378, 0}, {-0.18223552549214747`, 0.9832549075639546, 0}, {-0.20791169081775931`, 0.9781476007338057, 0}, {-0.2334453638559054, 0.9723699203976766, 0}, {-0.2588190451025207, 0.9659258262890682, 0}, {-0.2840153447039226, 0.958819734868193, 0}, {-0.30901699437494745`, 0.9510565162951535, 0}, {-0.33380685923377096`, 0.9426414910921784, 0}, {-0.35836794954530027`, 0.9335804264972017, 0}, {-0.3826834323650898, 0.9238795325112867, 0}, {-0.40673664307580015`, 0.9135454576426009, 0}, {-0.4305110968082951, 0.9025852843498606, 0}, {-0.45399049973954675`, 0.8910065241883679, 0}, {-0.4771587602596084, 0.8788171126619654, 0}, {-0.5, 0.8660254037844386, 0}, {-0.5224985647159488, 0.8526401643540923, 0}, {-0.544639035015027, 0.838670567945424, 0}, {-0.5664062369248328, 0.8241261886220157, 0}, {-0.5877852522924731, 0.8090169943749475, 0}, {-0.6087614290087207, 0.7933533402912352, 0}, {-0.6293203910498375, 0.7771459614569708, 0}, {-0.6494480483301837, 0.760405965600031, 0}, {-0.6691306063588582, 0.7431448254773942, 0}, {-0.6883545756937539, 0.7253743710122877, 0}, {-0.7071067811865475, 0.7071067811865475, 0}, {-0.7253743710122877, 0.6883545756937539, 0}, {-0.7431448254773942, 0.6691306063588582, 0}, {-0.760405965600031, 0.6494480483301837, 0}, {-0.7771459614569708, 0.6293203910498375, 0}, {-0.7933533402912352, 0.6087614290087207, 0}, {-0.8090169943749475, 0.5877852522924731, 0}, {-0.8241261886220157, 0.5664062369248328, 0}, {-0.838670567945424, 0.544639035015027, 0}, {-0.8526401643540923, 0.5224985647159488, 0}, {-0.8660254037844386, 0.5, 0}, {-0.8788171126619654, 0.4771587602596084, 0}, {-0.8910065241883679, 0.45399049973954675`, 0}, {-0.9025852843498606, 0.4305110968082951, 0}, {-0.9135454576426009, 0.40673664307580015`, 0}, {-0.9238795325112867, 0.3826834323650898, 0}, {-0.9335804264972017, 0.35836794954530027`, 0}, {-0.9426414910921784, 0.33380685923377096`, 0}, {-0.9510565162951535, 0.30901699437494745`, 0}, {-0.958819734868193, 0.2840153447039226, 0}, {-0.9659258262890682, 0.2588190451025207, 0}, {-0.9723699203976766, 0.2334453638559054, 0}, {-0.9781476007338057, 0.20791169081775931`, 0}, {-0.9832549075639546, 0.18223552549214747`, 0}, {-0.9876883405951378, 0.15643446504023087`, 0}, {-0.9914448613738104, 0.13052619222005157`, 0}, {-0.9945218953682733, 0.10452846326765346`, 0}, {-0.996917333733128, 0.07845909572784494, 0}, {-0.9986295347545738, 0.05233595624294383, 0}, {-0.9996573249755573, 0.02617694830787315, 0}, {-1, 0, 0}, {-0.9996573249755573, -0.02617694830787315, 0}, {-0.9986295347545738, -0.05233595624294383, 0}, {-0.996917333733128, -0.07845909572784494, 0}, {-0.9945218953682733, -0.10452846326765346`, 0}, {-0.9914448613738104, -0.13052619222005157`, 0}, {-0.9876883405951378, -0.15643446504023087`, 0}, {-0.9832549075639546, -0.18223552549214747`, 0}, {-0.9781476007338057, -0.20791169081775931`, 0}, {-0.9723699203976766, -0.2334453638559054, 0}, {-0.9659258262890682, -0.2588190451025207, 0}, {-0.958819734868193, -0.2840153447039226, 0}, {-0.9510565162951535, -0.30901699437494745`, 0}, {-0.9426414910921784, -0.33380685923377096`, 0}, {-0.9335804264972017, -0.35836794954530027`, 0}, {-0.9238795325112867, -0.3826834323650898, 0}, {-0.9135454576426009, -0.40673664307580015`, 0}, {-0.9025852843498606, -0.4305110968082951, 0}, {-0.8910065241883679, -0.45399049973954675`, 0}, {-0.8788171126619654, -0.4771587602596084, 0}, {-0.8660254037844386, -0.5, 0}, {-0.8526401643540923, -0.5224985647159488, 0}, {-0.838670567945424, -0.544639035015027, 0}, {-0.8241261886220157, -0.5664062369248328, 0}, {-0.8090169943749475, -0.5877852522924731, 0}, {-0.7933533402912352, -0.6087614290087207, 0}, {-0.7771459614569708, -0.6293203910498375, 0}, {-0.760405965600031, -0.6494480483301837, 0}, {-0.7431448254773942, -0.6691306063588582, 0}, {-0.7253743710122877, -0.6883545756937539, 0}, {-0.7071067811865475, -0.7071067811865475, 0}, {-0.6883545756937539, -0.7253743710122877, 0}, {-0.6691306063588582, -0.7431448254773942, 0}, {-0.6494480483301837, -0.760405965600031, 0}, {-0.6293203910498375, -0.7771459614569708, 0}, {-0.6087614290087207, -0.7933533402912352, 0}, {-0.5877852522924731, -0.8090169943749475, 0}, {-0.5664062369248328, -0.8241261886220157, 0}, {-0.544639035015027, -0.838670567945424, 0}, {-0.5224985647159488, -0.8526401643540923, 0}, {-0.5, -0.8660254037844386, 0}, {-0.4771587602596084, -0.8788171126619654, 0}, {-0.45399049973954675`, -0.8910065241883679, 0}, {-0.4305110968082951, -0.9025852843498606, 0}, {-0.40673664307580015`, -0.9135454576426009, 0}, {-0.3826834323650898, -0.9238795325112867, 0}, {-0.35836794954530027`, -0.9335804264972017, 0}, {-0.33380685923377096`, -0.9426414910921784, 0}, {-0.30901699437494745`, -0.9510565162951535, 0}, {-0.2840153447039226, -0.958819734868193, 0}, {-0.2588190451025207, -0.9659258262890682, 0}, {-0.2334453638559054, -0.9723699203976766, 0}, {-0.20791169081775931`, -0.9781476007338057, 0}, {-0.18223552549214747`, -0.9832549075639546, 0}, {-0.15643446504023087`, -0.9876883405951378, 0}, {-0.13052619222005157`, -0.9914448613738104, 0}, {-0.10452846326765346`, -0.9945218953682733, 0}, {-0.07845909572784494, -0.996917333733128, 0}, {-0.05233595624294383, -0.9986295347545738, 0}, {-0.02617694830787315, -0.9996573249755573, 0}, {0, -1, 0}, { 0.02617694830787315, -0.9996573249755573, 0}, { 0.05233595624294383, -0.9986295347545738, 0}, { 0.07845909572784494, -0.996917333733128, 0}, { 0.10452846326765346`, -0.9945218953682733, 0}, { 0.13052619222005157`, -0.9914448613738104, 0}, { 0.15643446504023087`, -0.9876883405951378, 0}, { 0.18223552549214747`, -0.9832549075639546, 0}, { 0.20791169081775931`, -0.9781476007338057, 0}, { 0.2334453638559054, -0.9723699203976766, 0}, { 0.2588190451025207, -0.9659258262890682, 0}, { 0.2840153447039226, -0.958819734868193, 0}, { 0.30901699437494745`, -0.9510565162951535, 0}, { 0.33380685923377096`, -0.9426414910921784, 0}, { 0.35836794954530027`, -0.9335804264972017, 0}, { 0.3826834323650898, -0.9238795325112867, 0}, { 0.40673664307580015`, -0.9135454576426009, 0}, { 0.4305110968082951, -0.9025852843498606, 0}, { 0.45399049973954675`, -0.8910065241883679, 0}, { 0.4771587602596084, -0.8788171126619654, 0}, { 0.5, -0.8660254037844386, 0}, { 0.5224985647159488, -0.8526401643540923, 0}, { 0.544639035015027, -0.838670567945424, 0}, { 0.5664062369248328, -0.8241261886220157, 0}, { 0.5877852522924731, -0.8090169943749475, 0}, { 0.6087614290087207, -0.7933533402912352, 0}, { 0.6293203910498375, -0.7771459614569708, 0}, { 0.6494480483301837, -0.760405965600031, 0}, { 0.6691306063588582, -0.7431448254773942, 0}, { 0.6883545756937539, -0.7253743710122877, 0}, { 0.7071067811865475, -0.7071067811865475, 0}, { 0.7253743710122877, -0.6883545756937539, 0}, { 0.7431448254773942, -0.6691306063588582, 0}, { 0.760405965600031, -0.6494480483301837, 0}, { 0.7771459614569708, -0.6293203910498375, 0}, { 0.7933533402912352, -0.6087614290087207, 0}, { 0.8090169943749475, -0.5877852522924731, 0}, { 0.8241261886220157, -0.5664062369248328, 0}, { 0.838670567945424, -0.544639035015027, 0}, { 0.8526401643540923, -0.5224985647159488, 0}, { 0.8660254037844386, -0.5, 0}, { 0.8788171126619654, -0.4771587602596084, 0}, { 0.8910065241883679, -0.45399049973954675`, 0}, { 0.9025852843498606, -0.4305110968082951, 0}, { 0.9135454576426009, -0.40673664307580015`, 0}, { 0.9238795325112867, -0.3826834323650898, 0}, { 0.9335804264972017, -0.35836794954530027`, 0}, { 0.9426414910921784, -0.33380685923377096`, 0}, { 0.9510565162951535, -0.30901699437494745`, 0}, { 0.958819734868193, -0.2840153447039226, 0}, { 0.9659258262890682, -0.2588190451025207, 0}, { 0.9723699203976766, -0.2334453638559054, 0}, { 0.9781476007338057, -0.20791169081775931`, 0}, { 0.9832549075639546, -0.18223552549214747`, 0}, { 0.9876883405951378, -0.15643446504023087`, 0}, { 0.9914448613738104, -0.13052619222005157`, 0}, { 0.9945218953682733, -0.10452846326765346`, 0}, { 0.996917333733128, -0.07845909572784494, 0}, { 0.9986295347545738, -0.05233595624294383, 0}, { 0.9996573249755573, -0.02617694830787315, 0}, {1, 0, 0}}]]}, GraphicsComplex3DBox[CompressedData[" 1:eJx0fXecl9Xxtb1gL8FuRI09xkSNsU7UGEkM9m5soNEYey9gi4oaNZYoxt4L IKtCNKhhook/LOiqi6xiWZalt2UXEGv2jdk553nveRz/4eMw3O997nOfW2bO nNOr7xkHnrjYIossMmLTRRZZ/L9/bvBJn+FdXe27xZ++yDPnfH+Vr2fZhmF/ ZdyUde2sud6/16SXurpm0n7x0bs3d3XN9a//9Haf03pW9iuGrLXPo/d1+OA9 G17u6ppuvcLeb8xHY7u6OvyhlVqebeoz3R7b6NS3J9/91K7x9/7AyIvGdHV9 YYvEf0f0uuCrb+1D/9fOF/RHPzvX2fy13/zXHr+H3x8Vv+vRP9qjnx7PQ3s8 l0f/0N9R0U/H+Mz9rOW1rq7P/Kpbz/zT6WeM5XPNnXLSAfstu9C3H7zyO11d TRyHcRuu9ON7hy3w7v9vMbSz+377/Hbd1Rd43//9XivbWX+tIW91dc33jy/p e1avXSda+OHfjQp/Dz/2M/w9fo/PFb/r0T/6Rz89nof2eC4+b/+LX9h71UMW xv83Wvw/+xN2P3eJ69c4s5PPMQrjuEE8N+w/GdP07Pt9Oq1f+dyjzt7ljWcm fNlh3f1qo73hd4ed+ML9HTYk5hGea/39nv3JS7vNtQ9PvPj/urqm0r/n/m3H 3PzPuXby4/3fOOaLKbRjHix17V5vdnVNpv3Ygy96bbsdOG9i/rc4+on3Es+n 8yPmc6uj/7DHczj6j/bjORz9h/9Tvs2AzSfPwLjTHs/neC7Y4zkc/Yc9npvz /letGw2ZeflYvq/f7Hz+e11dnYb3iXH426SfXr/p1vMM8xf+vx3/8fG+5DzO W8wbtcfvONrvVYxno6P98rma/dG921dY/Z1OS74vT74vzs+XBv5n26FPfObj o71kXfJkXfJkffNkvfJknfTk+6X/LQNW3+384+Y75kWyjnmy7nmybni/4s8O e2K5nV4f9cSkGOcW2vvtsOLMJZ6ZjO/OBw5+6KYN+3bY0sX30OJX/K7hsmnj K/uLb+x4+ZJ7TuR7xXe7XTwH7Evu+6OTXvIJ+H59y5b2/V+4ofI/IX4X83LF az+9+YvRU/i7sD855eEBW46canfY9jtv+oc22tGfnlPWv+Ootdr4XFgv0B/4 f3LLiKtmPDiZ/fl4zcW2u3VU5Y9x6Ji8+K0vHjHXPijWkRY/b8Xf+5rjq/UF 443nXc+X+f4aW06kP+wzez9w/vyDq/Znv7vNwxv37pR1rcV7nvyq7/tiZ60/ n238vc+nrDSP44b1aNXV1/nr8ZdV9k26Nrvw7X9PiPk0z7C/oH3Yt5rQ83uP /XEC2998wVl7HTIS32ELxwfjecWhR60y6cQ22v9x8EMbLNyt8o/3wHVq2M1D 973vuCn0j+/Alp3y6Jp3/3kq1lt/8KdrX7/wx9X6C/9dr/j72xe+W71frHfo z2mbXTfxlZ9M4O/CPnCJUZ8cML+V/mv1mTf7wFU6a/288d53N/lsWGVfJuyY J13Pn7Ow87BJ9H/smYcfuHbTap7cu8GNHS03T+FzoZ+7XXDniN0uqtbZn4b/ z3e797nPdqzGAfNn0FXn7bNqR9V/vMdrn2+Y9MT0SZw/Gxbvpck7Yn+2M66a d97hr8dzNHLfXmupZ47Z541G+o+5YscL3ltmYczn0fQ/6PKltntsx4U2vrC3 +NJ/3HuXe/66gOv+gP+tfx95/747LLbXnAWyH7T4QV+t99ap2y6I9pvpv+aP zvr3tTcuiOdtthV/ed0d8zZs8e73vQD9oP/SYd/ikD12Wu/oJvan/1Wjjn11 WuX/zteNb27+8Fg+L54Lz/vSsA/P/um2ONd4jF+jH7LUaWeO6Lcw/t/p37jm 77755+ufsX2MT+v+d63c+mVlH7PnASttv2/VTx2fr9/d4vxj9qj8sZ/12PK+ vm/eWNmxL92+yy7v/GOXz2KeNNmdxz815fIR77N9jBvagf2UB3dZ/Zc3jKN9 j9NXWu6h5sof6xK+x+m7HffO8Q9M43hiHv7xD2PaX7tiug3aZO8b3zijWc59 jvdJ+7D1n//Zu8Ne4O9Ove3yA0d0Vv5of/hmv15sg83n8/uC/+TNd9nx+P+O 84fxvtD+6bc++dg3K+N9NfC9TPxk27uu/01lRzvXTvhZ78vWWsj7APxPajr3 dwsPrux4j1/9be9XmvpX7eD8cekOgx7Z+urKf9Uvfn92w7QJMv6jOc9h36xr 1ZGDHnwL36Xf1blp395bVs8195X7z97g4ylcbzFPsJ7A3v8PP338uf3Hcf15 YTn/13W7zKc/1rHtwn9Anxt3vn/Hd2i/euivljxtifmcV1zftrz/b8/+ZT7m Pdf5bb436+TH1v6Mz4v+t786duOjLq7s2JdH7fne0FdW+SzaaeA4PPJ/4xa/ 96zP4v8b7HcnNq722rutHB+dD/set+6HBxxWzRP0B/6YV8s9dNXQHnMm8h6D 7wL7Auy7nHTfb8d/713af3/LR4feNaoaN9hnrPLGqDV6VusGfve9jRbpe9y1 dfuP+vb94/9tW33XsON3Z/ziuQUtq49j+4dM77zo5kPn87uDf8vRn+68yBuV fbszzv/LYsdMYjt4L/uevdRyy+9fzQdtB/ZnX7zh4PE/+9ROuKPPzycfNlHG uYH9+cOSnctu8tACvhfYr7j/htu/vgb2avxfOXX1oft0Vu9r+8dbhqxwRdV+ +X3991z3q4VrrD+ksmO+HbHoke/e/lbV/6vuX/yL1Q9pq+Z59/rI/vTveuOr 9Zvqdvi3Hb74zEtfHs9+vrrEiEun/1/1PcJ/0c9vGfjIoZX93F6LXHjFrGnc f7GfxjmO9vd2fvGjXm9O5Hd0y1YLzhp+ULX/XrNm33+tu900P6G417XY03ss eOWyXadz/cR5AO3EvcG+GDX0jY0+n8TffXLK3quMP38uzqM2VOMQvVpXWP+r CbjP+mo//Lj9+tur/sN/6ynzbxl6VNUf+KM/OGfivRy8yR3rtn5ZPdcn77x2 +ElLV/NZ59vI0S+cM2i/+XwvU59+9jfXnM17D9s598wlntt97gz2H/0ZEPck 7DvH37PL5H+f0VrZR2w8eeRNc62Me7T4rLVe//V5z8/HPsp1A/1c45Qz9+j8 14d23SaH/GefPWezP/jdWCfoP+qTfS8bcdQE7vuwb7P9Otu8vGIr/Q8c8Grz tWsvkHNyoz+/zIsH7HXAArb/2sS2q6Zu9DZ/99KId8Ef9h9s9/I+gyfO5P6C 8Xlo8CMD//qbGZintA/+9/63rPzYDGsO+7i/HnLJ8C3mYrxs3FHPL9W1e6Ps I238XdgfmrHmqyvOrOybLPHmGq1fVv6X9/7m8TcffJ/jgPgL9k20g/kD+2vv rnfXGRfNl7hMo4+eP/m51Z6u7HgunGPP6n3bD68YNw3nLNo3/v5d9/10rek4 r/mzZ3766YbHdNjgIo7jftLuP5+91pVVfAftY17d+s4HN8+zWVjPOJ6/XPfu 4z6aNIP95Ll6q3kvH37BNL6Xk1beY9ufb6nxI/fXnvzJ29MPmMv3O+O6EXdt cP97bD++Q44P7Ie3/+3Y/m9X9nUeOPy1M6fNZfvLPH/uTrc0NnE9wfkf/vhO 1Y715OIxwzvHXjCT5x/87pkL533x0s+n0/7xm6eN/9Vf5sq4NfvJS3092gdX 7ePchfG865FN19q3Y4bd+tQnzywyaDznQ7l+NtN+4Qe/HnPsHRNpv+SCCZf1 2l7nQ7P/e/dtnj9vbHUOxHt59a2Hfzxk5072B+dn7hc9p07r8WQr7T8dPL// oddU8/Yvmy3Z8vrglzify/nZQPsPivu4+0rnnPi91i/nyz3a3T46/f/u23s+ v5fYP733csf8ba8j6/ZL5vQ+ebMVF1gZp3X+Lu6haP/nXVutd++gBex/nKd8 0PsfvjLxiWr9wTx/4oulXmv8cL6M/2jfdbezvv7FZvNl3xnN3115wjb9l76j +h4/GXrQlTdcXP1ud3zp6FFYr4ZE/Bz7OebDnPVHP/OberzdNN4u8XnGqdD+ 2qtdUsTt0c+ZQ9e6dcNdJ9I+aceNHjz/uOq5YH/hjze/+G2cG+MA+4J/vnjD t/HsXjKe+C5e7rnd6Wv0mEn7eTf85NaBg6rvHfME68MBC7q/I7QPe8vfDrtq bJ/Kvv7hX7/0bT4B6xXsjKt+/LPVTu9Z/e4PLv7nUr/9/VxDfgT+L627wd3f 5hkGFHkT5/e+zd12xaqXzOJ8w3s55eZHxv3ywVm19zVthXPG9Px6Ft877ms9 n/jF2B3nvcv2Ycf9Gv7b7XDS0As2XsjzMObzTRte/d5VVtnPGnbY0MffGM52 tiviAA20LzN7+P5Xbj2W7dy52j/u+GTOZzxX077TJbsOu/UznkPQTr8/rPrk Tx6u7Fs889ycpsGNcj9tZP/HfXX85KPHVvdo2Hce8sPp48+vtz98nC/3zH7I VzRyPEfe3XTvt3mMchwafMELu/X8ZPGF7D/8v7f8LU98mz+Bve3m64ffO/ZT zsPxsb7BH/2/c+vz7jr7jLG0H/f0PX8a+sRniAtw/cc5/Mwlt7p/uQUfcP2E Hedk+C/31vZ/n/LwAjlHNfrRq41dZLHmyo7zz6SzFt3wvIt13Jq5nlz//i0/ mzb1U8Yr9v39vB+9129B7I8fVfvX+Q+eds7a1Tgz3rLSmGX261O3j1r4/Gn3 Dqvmw/u3/6dj7/HvMd61dBEPbOJ3+uJa7Ye8smAqnwv+8276/+ONTf7qvAPb P5petYN9/9DWe/46cIt5Em9sYjvzj51290qNlb157PWXPjtqnqy3zezPVsde vsk1h02lffPP/770uw90Styyme23bdF6zjqbTuZ4Xv3LHy1z14VV+9jvuL// ZrnPR906DePth624StsbW8/l+gP/fXuP2/XKPh21/RTr8KNx/hz3TOPFb/zl E64naOftf1xz4ogzP2E/tT/b7fnuuD0+rc4DsN962P2XP7BR1f/rH9+gzxGv f8rxwTjAH/ZJS8y/6PO7p2R5Ok/yeh75MPojT4L9Cd8T8iN4/tiv/oF9agOx I8+S5O9ol3wf7ZLXY15G8mL0l/wX7ZL/YjuSR6O/5Ptol3wf81mSx5TfZT6R /pKXRJ5K87Ce5E89ybdmeWEvz3HM/3qSr2ReXfKSjvUG7WA8T7/1l0dtdP1k ru/fnf9ttKc+27L/um1zEZezuR1fbrLZqW/Q/9HftbYt/8AUxpFhn77sOl/M 22YK49GwI4+E+EvrDj1WvWlolUdC/OK16deeuOdtc/V8Z89Mf75pk3M72B/Y Dzrpx/v/qUeHnE8b7dAhv/ph834d1rNl+RXXaMP4N7A/5XfXYLc8uMm//vJi 9buIBz3y6z47XnSD5gPdJi+7+V9P3qhDxq3BVhgyc+6eP+mwj3u2HHPyKhMk /tgh5+5Ge+3zRdtXGFbFM/A+p/3rD+e/2lT5w37uIr/Zb/SVlf+V7/zmnG32 eofto//wRz8lDm0L3lvz2W/z73Jfsfd3WPsvs37dwX0b/X9s0o1LH3zGXFvv mH9sft+kCXy/feW5kEfxrpX3WbOxQ+4lbkMP+ftFx0zpsLXe+GDEvWN5X2H/ y3tSgy1/4Khfb/GrTrtxzVlLTL24VeJ3FY4C9q5tPhi4wc6aV2yw4Y8cfPec uyp/zJ9DD9up4ZGNOqWdxv/em46+/PbFOnXfs2+W/vk5XVM1L9dsu8w7suut S6v5g/PBUXvddMXVj1ffEc4fD++86dNX7zjXPp895a9fL5gi55V2+S6abeyO D77XY8nqO/rtLaNenbP/B9gf7KL9n37t1vsmy/i1y3fRYkcM/ubEEYdX3/sx /VafuuScT+nf8tKklVZsmMT5g+8F7SxsX/j7TweNM80/8/w3YNVnbn+u6ifs WzZ8/5pvcR39V735pE3em8H3Ut7DpjPO3hDjg/0Z73f2YmNHN29e2fEef/DO LWfdsdJcW/hhY4/2O2dwvqF9PD/G+dxLz93wz8dU8xPxvptiPVnjm50mzOs/ gffSEi/Vwj+PXnjpCVes3oE8vo2dvd7gtjs/No2/4r1gnTnrgPce3f/Oal4x TnbUgUeN2Hki5w/seH6Ma7l+juZ8wfoJf4wTxg3+sGPcHv3e06ss2u9NGe92 fv9YD7AOYJ+4+at/3HbiMOLYOO7le2jn725w9g3D5+xY2XFewft/dFj3PME8 gB3zAf7/We+8p7b47zmoxAU1yPyq7Bifcp1nfpXrbblvtlhnrJOSD+E6DH+8 /5/F+onvBN9N+R0xP8P1Ge1cEPOi3Kea6Y/1B+sU+oN9BHb4Yx/EPoHnwvqJ 94v9qlxXnd8N1lWs+7DvXqyfznUa7WA/WCb2jXKdd/YT+6zkN7jvwx/rTTlu o7m+4jyAcUA/sZ5L/o37EfoJO/YvnHvQfhnvb+Q6ivMSxgfnIPhj3mIejln6 oWHf4tZwfsJ5StvHeQ12rNdy3pT7aBv3nTLO3cb1H+sgngv7EeZHuZ+0c95i /cF6jvhH74ZHh2y8cBq/R7SP/Q3tXNzZvT5inPFc6D/seI9Ylzc7untdhD/2 vw+Kc0o7vxfME+zLJY5gKvdTiZvaMYt/fvR286vvsXPQlD6HrD6tNg5oH/sd 7Ng/NS+E38H6g/0D+wz8MW54b9inkM/UOBjmj8bNsH5q/A3+GuffsPguqjzF h8V3UctrmOYpMP81r4H1QfMUaD/JB5nmg/S8iLglnlfjnLBrXBTrg+anYNf8 SOS/5HubWe1rYUdepsyrV/mXMq5W5cvw3hVfhPmT4JFM8UWYN4pHCtyOKW6n /F4qXA3icIrPwe8qTgntKM4H/ooLChyUKQ4Kz6t4J7SvOJ/ID1qSH6Rd8oOm +cFyX67ygB8U+2+V94G/xscwbhrXivyXaf4r4n6WxP04fyTuZ0nczzTuB3/N N8E/ifuZ5uPKPHkt7meaX4Nd44EDinW+ioPBrnE8tKPxQ97zJZ4ZeTH77ryY m+anYNe8GNYNzU9hHdN8Ftbn786LNZjm4+D/3fk1N83HYZ3RPBfOb5rfh7/m 0TAfkvy1ab4M/ooHwDqv+bjIj5jmR7BfaP4F46/5EYyP5ingr3kZjLPmKdCO 5mVg1zwL+yN5GeLaJK8Eu+aPYNe8DN6Xxv/hr/ka+GseIfJBpvkg/Km4zfKe Vu0/OLeVeax2nnskjsj9HPdF+ONeh+eA/xrHXH3sKwvaZP5VOBqewx/b+oLO E6rzGP6dxjH2unz/E15ZULWD/5e4LPAepngPPI/md2DXfD3ej+aVsM5rPgjv WXE1gWs1xbWW58lanss0bwW75r/wu5rP4nou+SnYFfcbOFhLcLCW4GBNcbBo X/GraCfBu5rilmFXXCt+V3GweA7Fu/I7Evwz1hXFwQa+2hJ8tSn+HP1RfC/8 E/y5fTf+vPqugWN//LIBBw5+mPgX27drzb93dc3muRjjuthBTb1/75W98bOx 76+z/Tj6/+ja6459dHI7fwd+6/XaZ7XeB1X3m/K8XfnjvLph8V02EZ8zpMQH 2dJb3bbr2NPa2R7sTz3x1nmD9pwjcbxm++VORx183cI5glNotBP7nrrTOmPa 5b7SaA+Ouev+CwfPsTUv+deIIafOYvt4XvwJ+y797njp5HmzbL+w81z51uVv 9j5jFv3xuyOXO2WjZ46cbT2OfebBs+6dQ388D9Y/jP+gwBHd8/fN/3jV8rPZ T/zel/E+8O/3k/7huTFu+D2ME8ZnO3lPzUO6xxP+mC/6/IqnQr8VBwV/zIsB xX2n2VaM8ehfzJNGzq8BYsdz4T1iXPA+8R4/kPHFfNb3iveI/mAc8R7hv0nM i/3kvaIdvF/0B+8N/mW+d6ZdttZtBw55fCbrWtD/40/ZecyvfQb9bz6yz6C9 r5op877N3l7y9I/eX3uG4F5aeN4df/fuWw0bN0fOZVNt9X6LzeroOYf70sgb +2/x6cDpfA74Lz7w2hWv2XKaPC9xstZvuSdPOXzEbJ5PYcd4Drtn9337Xcu6 Jds/2sH5nfHP3/1n+oZrVnkK2Lfet7uf5T2mze6P7x1x5KXG//nulh0nsv+f b3PppNYdWzmf8GfUDdXyIrrfo64K9h++vGmvrwbW/fG8vzyq65CDVp7F8UE7 qAfB+Gj9CN/XhZ9s0/vUKm8B/5seHHlS64FzBM/ZwvdxQOCjMF4Y3/tOebnH MbvNYH96XLjegHdGzpLviPhia7ryiP/FeT7b5ub/jSOes/zeicu2P/cZsOWN P6vsnC+3vLLHKwuq8xj+HvbyftxmU2cuddILP6xwx3jP+K7RDuw6T9AO+iN1 lmynzM+22Nj4LvDvMU/3l+dFe5hvZV1EhetFncky5X2bdSNoR/HTaCfqL2iP +gb6oy6lfI5G1rEQp9Jdz0LcZ9TN1HDJ6E/Uy7BOQ/LDNTxo1GvQHvUlxD+h fkPxPfjdqM+gHXUjiodGnYnEX1i3oDhp1C0ojhP1GHJvJ94L9jh/0h71N/RH vYfcq+kfdU783TLeVOF04Y/7Q9Q91eq74k/i+CXfyLoCyTfWcMZR50J71LOy zgr2qC9hO6i3UfxxyYfQgjoC2qMeosJVn/Jee9u+HXKuGe3bjzxr9DkDKzvG E3Gc/ouf+tQyZ8zheML+x4UPb31B+xy+l+uWf3XLN5/okHNlg6+/zkPnvjW8 al9xqE/ev+i/f7Jz5Q973wlv3L79wZU/4qRyf2N9Jt6L4rkxT+I+JXUd7TiH 0/7Nc/MOPv0g4BtH+xJHfnjdzn+eK3li989vu/fTi56dK/mACqeLfwd/2PHv 4I/fK3GVVT0A3tsHYi/fmzvzMNGOPtcqA6+4dd1RVb4K/695LLRTvs8Kp4v3 CX/UByrOu6yLa+E8KevrGF9jnR7aQfuo00MeFvhj1Pspfhp1YuX60MDvPerM +Fyo+1J8NuPp3XVjtP/9t+sOXXmFuZzP+L5GXHjDZSvfUs0rzE/44d/BH374 d/D/w/Nfrd/65Vz5jqo6nPLvKzv+bLrysel7HPkB53/DPrdP67HSNO5fZfy8 yU7e9v7W50d28v/x536/f2bLD29GXrWK0/947xtXf2Jg5Q/7bYdNPvW9ozr5 /8wrih1/nrjXc3sfsVnVDn4H/SnjU42130UcYe2lVzjvyznq73bgk5e+uv0o 7edou+/RN5+Z/4H2Z7St2rnrJo8/Xj0v/vzmzhW3erO1k/cIxGu+PKAbv4R4 DOJEM23gF3PW77RRa9z9z6X7javFxfG7y/e/5IbFHh5PO9rZ+L6XN9vl5U8k n8C6c9sx8toNb2719MZvvsfnLXlIqrjpS+fesdewzZXnpMFWOnfIyF0XnSf+ boucfO6sndedx3vo6M13att2lWdtn2j/839OvWDNdas4K363HP8GW3Ti3qc/ 8GYnxxe/X47/aP47jP+LD2/yi54PvMO/1+dCnOX0lq+e/JaPBe+l9dozD/zg /tetT/iXdQQttssXN33zLb8N4v9YZ/Ae4f/a4m/PP6uzwjngeYBrgx3+WDeA JynjXm3Ep8Ef+YzjRv1pje13qPxhB86w3Cdbmbcp86StzGvDDlykrutXP7/i j477orJjnmHeYb5hnuG9YL7BjnmNccA81jySxk3xXaAdvDeMP+z4s+mvhxz5 6yc77O7/3PBs17LVPQD3Mr0PHRT5YtjHHX7WFttdPbGqF4t7Hd477LjXYTyF v4v7F+6PWM9xL8T9Efc3tIN4wv5yj8d9EPEFxBsQZ0B8QeMTZdysxY6P+/6l Em8ATkDvr4gDoL3OuJfj/5eMe2l5vq3iWGgf91zEOzD+2k/YcR/vueUra287 SONiVZwF9h8se+PQ/e6s2pvVfO67D91X+Uedci1/METeG/K8sNugDZ9e6ujK H3EEvU/j3yM+ATvmE+aXPifsmIewY/7Cf3jEd/Ae8dxDt+2O7+B9lfHKqp+I h2Bdxjq9T7FOVvF17I+wY98o11XyT3Ddhj/s2E+x7mMf0HawTmPfQTuwY38p 6/ibuB+V63aj9X6i8d1vebTK9bbJ+sX6D/sNc178vOPyqj+aT1jsuR8e8i3v FvYJrD/YLzR+j/0F+xD2JbSP+aTzAO8LdsxD2DF/4b/nwNdXuGlAe239wLzA 94HvAu1E/XrNH99Zef6t2kfdOv695u00/i117uwv/PF9ajy0YaM+x++wXzvX P42Xsb+R7+a9o7sOvvZ9rPX91zr2vH92Lb6G30H78NM4b9nu/19f311/q/is JA5AvAhxPVHPCzv8wEMFPgiMS8kLUbuf0i5xAAOPleKOkzgD7RJnYP6yzFu3 mPKSgGcAduRdMT6oi/6g2PercYC9xNXMQx02/ZGXVXwueDcUjz9y7qqXnvVE FWfDejCn77rrTNqxspf3kFqcjXaJy1kSx7AkTmJJHMOSOImBX6xcL1osiR+y nxKvI/6jxPG1Ev+BdQz2khdjNHEmytsCnEmJg6nwwsCRlPi4av7gOYHDAY6k zLO2yffSSBwX7CX+q434G+wbfeW5MO7A4cAO3BDGAXigXsX7ayUuB8+L3wVP RInbahXcTGPte4Q/1n/c2zU/2TJ74aIzj6/sWFdwTv/x8Bv3fmVB5c+6gb7/ /PzDQbN4zk7iEjKPGR+g382H/+fu+Y1z2A54TDSPVeJYZ9o9Kz0x8Z1rPmG7 6P8rsf4MPmH86t/irDW/ePAVL2z03sUdXL9/Woxr5Q+8In4X7d/7Vr/JV82s 7hm9lnl5+0VHVXlB+K93wIk3jl2tymMf/P1px170SUctXwh/5EVgf2STTd9f 6c+dyjfB/R/3hB6BO4J9m9FrnL3I3yp8zeVHPPSDvfbpZN5L8XmT7lj+lrkr zJD51WHLTh3yzsTrq3H77cEN91w5uLOWJ0c7q6357zu26FnZ91t+r9OOsw7J u31kSRyYv4vxWeay5tcvnjrGkngp/SU+TP/g0eF3kcS12M4SXXc83mvYbOI2 knga/V+fdVePWT1mcN6CP2io3JPgj/c1Ze0hS/9i7Y953w0+JPoDP1rGydoE D1rVeQCXWeJ9JltZb9xEHCbswIfCH7jSsk6+TfCXFc4deMryvj6Vzwt/4DnL 7+sj4jPBf6p5P8W5Pxw8pWgn6qFr/mO6eQJq/eH7CF5W4DvxvpeScUP/gQvV OBDwscC/lnHK6ncx/sDZ4r0Dtwt/4Fm1zuCyRQ79H04dOB6sT2Udz2ji28u6 rkbizzGPgTfHdwycPXBLWG+As8f3ifmrdWPA25d1P06cfzkfRhPnn/CBs64A cbL+ch9APTL40kt7A+sXUIeA/pTrVjvtiFcgvlXGa6faOcFLi/kDO3D8GGfi IIr51ij8SFW9GvD8Wo8F3iGt2wBfAXiI4I/fBX8B1iONI6GdR4t6hHbwFtA/ 4T8XvHJD7dwevwNedAv+ZbaD9QS45PL+3WbgQSjj1a0GHl6c82AHD5Tim7Qe DvxRsAfvFNdp8CwMKO5FbfK9t/AcBXvwOtAf/MLlOazNwMus+Ajw5CpOAe2D zw48z8r7gPMt/IPXlu8F/sGDy98Fb6/iIMrvdCp5gLX+G3zFypuMP9EfzBvw NsMe/Nb0B1+z4kS0rh0827AHLzX9wetXfodVHRjeN/gAeU7o5jWkP/gEUf+F 96B8A+A57Aw+a8VVKf8y/sR3h/cIPmd8p8F/zL8HP7LintAf4EzAqwx78CUz vqt83NoOnhM83uCJVvxLWQ83lXyMSZ7akvwy/1/y1LRLHpzjJnln2iVPzfGU fDTtkse0JJ9exYXKfDT9JJ9Of8mrsp+ShzXwYyreLeFdYfvCuyL2o3cD/1jC x2JJXtsSPIwl+WtL8u+W4FsswclYkq+3BIdjSR7fEryNJfgNS3BHluCgLMEj WYLjsgQfZQlupFZfBF7cBFdjCT4nw6dZgsuyIRPvXvKpJebxHAD/hW0fXTXn +HlSb1nVv0l+3xJcliW4LEtwWZbgrCzBVxj0FRQniO809A1qdsZlQh8B50DF pSY4K0twUJbgtSzB9VmC67MET2gJnlDiifNq51nlu8a/V15r+CsPNvqhfNrA S2l+GnFJzWeX+1nF141x0bgg3nfCU20JT7UpTzXimPjdMk7bZso7jfip8gsg 7qD3G8RN9B5c5lc6GF+CHfEq+CMepHX7ZV6hg3ES2BFngj/iGvDH94v1SOPu mN8Jj7clPN5sB+sV7MrXjfVLeZLx/SgvMfIQnCdyP4AdeQf9XoUHm/7IdyA/ AbvwJ1vCn1zLzyDep/cPxBkRd8Q4I66q9z/EVZW/AO8X5xatT0Acd4D4ox3E LRGv1PgE4rA4L+B3cW9G/A/fI+7liC8StyV5Y8RjNW6B+C3zfcJfjfbLOOJH jOtpfAjxOMV/DJZ7OeJvuA8o7zf2s3I+NLId7IcbyDqJvBDGAf7YV2FHfFbj TPCHHXFd3GcQD4Y/4obKo454rsb/EJ8tdU+q/pf5qwonp3zImh9AXAL+ypOM 95DwK3KeIC6B/irPs8bXca/H96T85PBXnm3EOzDP0Z/gF5V7SnU/Vn0i5BE1 /1nGEWp8y6Z8j4gjKD+kxgPKPH6LqZ4R2lfeSPir3hPipxpXgL/qUmmcAHFU xFP0no31U3WUNE+FPDXuA4k+CO24R6C9RL/AVL8A/jVdBsQ1RMcBuFvVa8D9 J9GJMNVxgF31I3CfUV2P8vxa6Xfgnqa6IVgvVScF46z6IPBXXRL8ruqYYPxV l6Tiuy35w3GPUd5yzCPVsyAuQXQr8O8S/SxTnSzUA+O7x3tB3W9pdzsz6oQ/ KM4fDVKX28zxhx11zGgH9cmK/51U1OvW6/xRB4x4hdbV40/UUZf9r9fnI76B +mH4o44YdcjYt/B+y3rmCreLumi0A3/UReO5YC/rnxsZz0F9MtrB8+4ufCtl 3qOyHxbnZNhvjHp3/P2ywQujeG3UP+P/EUdKdDnJ71B+z02W6HWKvcFWjf0a dvBVAB83rOCboE6S8E147f1iHMFrAT6Lcv1qshOCbwLtYzzANwF/2HcJXoly nW2s1aVvG3wUsG8d/BDMdwUPheKsdyn4JiqcNfgpyntdE3koynNJsw0KniDF 9WM+jA7+IdjBB5TxGsCO8QRPEHiD4A9eg/L+3CzrdSPvEcp/BL6FRCeXfFLK R5jo54q9gXxTeq8GbxV4JdAf8uAErwSeB+cz8EOV55em2j0NvBbgj8A4MK8r PBH4E3xSiu9GPkD1LpE/UP1H/L3mH5AP0HxFmZ/okDxClX9gHkryP6Kzaaqz qfkK5EfK+FFNP5F20Vs01RWCv+ooaV4CcXvlE0ReAP1U/UfkJTRfgfyB6i0i /6F6T5qvwO+V+aeq/2hH9Zvw7zRfgfOP6pmiPdUVhV11VxEHVJ7Zofr9lbpR prpRyBtpHBHxd9xrEIcP3VzmQ8cX+17FM4h8Cuyqs4n8ENpH/0s+/konFHlB 1btk3E/0OhN+HldcY/AcesIb7AnPres9IHgLvbxfkM/Qy++XfD6e8BzSLjy6 nvAIecL36wkfkSe8RhwHrJvBY+kJP5InPNie8A55wrfJcRNeTcfvCT+Ga748 +EDoL7y7nvBwesIL7WVcnrzQtAvPEt+v8DJ5wu/kCa+1J7zZnvBjcz5j38R8 S/iiPeG19jKOTZ5qPq/wddOOfgbvLucP7p/Bw+wJT7V8j+S394Sn2hN+bE/4 fzzh/6Fd+H884aXxhD/HEz4cT3h1POHnYX/gH/w/rnEjzPOEF8jL+h3yAnnC X+QJb48n/D/UH2Icq5snh/W5wvPjCZ+SY92HPXiTPOH/8YT3xtE/4fPhOiA8 Ni7vj+8l4behv/Dk0F/4eTzhHWI/haeIduHRdVlnOT7oj/AU0V/4hegvPEUc T+E1Yn+Ev4h24RHyRO/AE30HrpOig0A77m/B1y3rDHUuZH2mnoXsy9RT8HIf om6FJ7oJ3KdgD35v2tGf0EcQf+ojeKKv4Yk+iCd6GV7GL6mvIc9FHQdPeLA9 4bWmXfioOX+E15rzAes3zlEJH76X917ytHvCy+3lPZU81Z7wWnuilyHzgfzV Xu731NHwRHfAE90BL+831AehXXQTPNFBYH/QTuiPcF6JLoMnOhScD7DrPBF9 Ck90bTIdHE/0azzRnfFEH8fLeyd1WzgOottCO/xDj8DLOBR5vz3h/faE95v+ wvtNvULR72M7wptNf9EBpL/wb9Nf9P48uX9l+om0iw4j7Rif0AGs2UPP0eX7 QRyG4wN74KJpF55zT/jAvYzTkQ/cEz5z9hO/G3qLjnVZ+NI9qSf1pD7Uy/Fl nakndaOe1IeyHakn9aSu05P6Sk/quHk+lDpuT+o6eR6TelVP6lXZvtSr0i71 qnxeqcP1pF7Vk3pVT+pP2b7UsXpSf+rYF4W/mvNNeKE5f4Snmv7C88x9TXik 6S880jyPCY+0J3zs9Ic96vg84ZH2hMeb66HwbHP9Eb5ujpvwe3N8hGfbkzyp 49wjegG0i14AzxWSH+e+L/l3T/jhXfY/5NM5nozXddcv0F/42+kvPN58v6K/ QDvaj3oQvi/Rd+C6KjznfF/Cc17tI6UeLu2ih8v+C28//UUnl3bRyfWEL1HO OeTbpF14NT3hz+Q5RHgm2Y7wgtJfeEHlXkD+RsbNYA++UJ4fhBfUE15N+gsv KO3CM8n+Cw8q+yP8lvQXfku2L/yWcl4lD6cnPJzVOJQ8nJ7wcHrC1yrnNPJe sj/Cb0l/4beUcyl5MmkXXkraOb/idxM+TImDkQ/Ty/wFeVnpD3vwsnrC70p/ 2DHfEr5Wiae11Z5L+Dk94efxhJ/HE34eT/h5POHnkTgM+Xl4fhB+Hu7jwmPj CT+PJ3w4nvDt8LwhvDou5zZ+Xwn/jyf8NhIfI78N7cJv4wnfjie8Ny6/B54Z 2oUPxxM+HE94fTl/hCeHduH19YQnxxOeHIknkDeYduHh8YRnyRNeI46z8ClJ nJN8R/K+yNfEcwv8Ec9R/BTiRfAXfTT6iz4azz+iJ0h/rAeIV+MeJDplPA+I 3hn7w3xQxKkSnTWeo2BHfKysY6CenSe6cjzHip6dJzpuPFeIjhvPD6JLyHOm 6BLSX3QJeS4SXUL6Y5xDD47+zCcXebeaHpzcZ1sl/lPjl+PvCr8c/YVfjv7C C0d/4ZGjP343+O7knkueOtqFT4/tC58e563oDNKOdRjxzESvkPMKdsQzE91G nqtF94120X3jOZ/52hiHRN+N/qIjyfghxg3fL34X/cT3nujreaKjx98V3UmO p+iHcn0Q/VB+76L7WcVDSt1PT/RG+Vw8z0TcLNGvpD/siJsl/JP0F35LT3gs 5T2Sr1LyF+TP9IRvU/pJPlJph7yanvBb0l/4LbnuCb+l9J98p+wP2g++TYl7 k+9U+km+U3ku8rJ6wjvH7xr+GLcyD0r+N94f8Tt4X/AXnjr6C++c7Kfku5M4 IXnkZB0jj5ys2+SLk3Wb/Hj0F945T/jlvKyLJb8cvyPhl5PzAHlTJd5C/l7Z 35tr7xf24NHluMGO+ZPweXJ9gz14QWkXXlBP+EUln0J+YE/4QmXekjeYvys8 orQLjyj3d+F9lXlCnlj+rvDu0i78vfI9kq9Y1nPyKst3Sv5kfu/CM+wJz7An PMOe8Al7wg/mCc+VJ/xgnvDFecIL5wnPmyf8cl7GGcmjRbvwy3nCV+YJX5kn fGWe8KTxdzFuiHMmPGCe8AqyHeEPpF348TzBFXuCf5Z+kofQE94/T/jQPOFP 84SHzRN+Ek/42TzhG/GEb8QT3hJPeNs84cfzhI+O4ya8c57geD3B8XqCq/cE n+wJrt4TvK4nOGFPcPue4LQ9wQ97gjf2BHftCW7cE/y2J/hzT3DLnuDGPcGN e1JH4An+3xP8vyf4f0/qCzzB+XtSL+AJ/t8T/L8n+H9P8P+e4P89qXPxhPfM E54f6krAjvxFwvNDu/BiecJ/5Qn/lSNvITxXtON5kddIeKLoz30w8iwJr5cn /FSe8Il5whPlCU8U42zCE+UJ/5v0k7xVnvB3ecLHxXakrkHeF3nGPKmbkPFk HQTjscIPRjye8IB5wrfG8RH+NLaP94W8fMIv5wmPnCe8fJ7w/nnC1+cJ758n vHae8Ad6wkfHcYZ/8NrJ/Cfvnyf8Wp7wa3nCr+UJv5YnPIScP8Kf5glfH/2F P9AT/je+d+FP84TPkOMj/IeiB0SeQ/oLz6HMc/IZesLz7AmPsSd8xZ7wG3vC /+wJn7AnfJie8ILyuYQnU94jeV9pF55PtiP8nJ7wwcp7Ie8r7cKD6glvpye8 tZ7wiXnCV8bnEp6x6nlLvjIXPAHqVjzhl/OE/43PK/xy8l2TF47rJ+xRt+IJ f50nPHWe8F95wkfEdoT/lnbhv6VdeG494TXyhHfXEx5dT3hx+bvCi8v3JXy/ nvADc/yFF5d24a2t1oeSl9gTnmdPeKG5vgk/c7Uvl/zPtAtfNPdN4Wf2hIeZ 7Qh/Mu3Cw+xJfbcn9eCe1H17UvftSd23J7x/ntSDe1Jn7UndtCf8exwH4euj XXiuPOHF4jyBPeoi2Q7swYvlSR2uJ/W2ntRle1LP7km9tif1457U0XtS/+5J Pb4ndfSe8FJ6wm/pCc+nJ7yXco4irybtwm/pCS+ZJzycbEf4Pz3hpeT3LryU /H6Fl5LzRPgnPeGZ9ITHku0IXyXjqIhDlOtSC/nzoLfIeFbEJzA/eQ4L/j/Y x0Q8QuIigp9fwPMAztm3x3eA9Qr3/6XK+AT7g3Zwf0d/Sp7CRsZLJQ7BOC2+ G967oz894jtT+x5lHIhxeNF/Z/uiO09/0ZGnv+jOe6Jrz/6Ifj3jzOX652wf 6zrWT4wn1hs8L/opcQVHPBfxpBKnWvEsIr4EO+LEOBfdGXExiW9J3nYB42mw I26HfRbzB3E77Jt474iP4ly0RcRZZH1ingX2nhGfgX27iOvo+KCfiJvBjjgc +sn3EnE1fV7E1WCHP+Jq+I6SOmtP6vQ9qWeX+l/W79Mu9d3E28g6xO+O+17c m2AXPiW2L/wAgq9jvb8n9elsR+rT2Y7U43vCR8d+wo64esKzxN+V/YF24dXx hIfBEz4E9l/4EDzhbWD/hc+K87A8HzVwvuEcBzvOYeV34azLgx3nN3zXOJfB H/0RXizahe+LduHF4u+eHudK7T+eF3EY9Ad2xGHgj3gM2oc/4jHlPG/ifCjz U02iF9HG9QdxI9gRb0J/0D7eC+yIU7FuMOJbS0l/8F0gLiR5XMaFEr41T3jJ XPKLjJ+Q1yTiQHhfCT8b3xfsyN8l/Gm0C28bn6uMj0718hxMXjtPePDYjvDs sR3h2eN7QRyLeMjv5rVz5AnwXSBfgHgo7MvEPRr2fpH3K88PTj6hmj3yDOW5 q4G8SrAj3orfxbkIeXDY79z6vLvOPmMs7cc9fc+fvuXPiHlM+/eWv+WJb/mc 0D7sI+9uunfVQ6p9EM81vMjDNLL/ZR6m2mfHRX4D5zHYdy7yG9X5E/MKedWE n5Dfi/ATesIHyHkrvGr8XeFh43olPKWe8Gd6wp9J/LDwdnrCq+kJr6YnfJ6e 8OUKbpl8ubQLX64nvHye8OZVdVsl76gnvJqe8Gp6wttJ/K3wdnrCm+oJX6gn vJ2e8LJ6wi/qCa8p8fnCC0278Jp6woNKf+ER5XlD+IR5fhB+ZvoLryP9hdfR Ex5FqacgjyLtwgPJ9oUH0hM+bU94sFm/IHzaHB/h0/aE95LnOuG95HctvI70 F55GPpfwT7LORXgjPeGL9oR32hPeaU/4qz3hzfaEP9kT/mRPeIwZrxAdBE94 vD3hJ/eEh9kTnmRPeI894Wf2hP+Z/sLz7Amfs9TpdEj9Zo1nrJqfJe8T/YVv inbhpyJfjfB3ecL35QkPFeen8Hl6wq/lCU8X+yk8aVyHhb+L/RceM0/40zzh SfOEj4vjLHxctAtPmid8a/QXXjiuY8LH7gmvO8dZ+PNpF/58ti+87rQLrzvb Ef58T/jb6Q874hJoX/jbPeGN90QvQOrIqC/gCf+/1OuRT579FH5arsPCV891 WHjj2R/hv8XveuyPPN/z3NQdJ6Qd/vHeeY6Ef8Q5aY9xA65K7mOVXXj7Pd4v /XGujLgrz6Mx39gOzruY1zGv5L7a5jFPBI/bxnag7yA4TYcuAPoZ84R1COhn jD/Px7GPA2fH/uD+FOcfhy4G7HH+oX/EZ9hOqbdFHKVDjwD9j3M45018F/QX nQLaS13mNo/zD+8h+N04L9EO/zhfcf7EeQO4Nvpj3GAHz3acr2hXnGaco2iP c7j4s46IdvAqo59xPhFcfpvHeYx1I/G9cz4g/oh1N85dtMd67nFO43uMdYDj rDgXvpfQJcF8iPMbxxN24J6Fz5N24f9EHr7KT6D/3fsy7bFvIo/E+Rb7LNvH +oV9GP7CX4o8lax3bcBx8Hdj/0V+hv5RH4pzFtdHxDXhD17QISW+zMFjD3vs y2wf7cS5gvFHfEd4L+CNx3iCzwj8mbGfsj+ocy3jux0ufK3Is8n9YTLyV7Jv tSHfRTv6E+eQ2jjHPuLCcw58Dcc/+Do4brADj4a6puAbqezd91mt5wfepzbP Yz+iPe6/wLnwdwVH6eBHhT3u+9X86Y4z0B/24FHhc2F84t7B94I4Y5zzacf3 C/xd3H/5vQNvGPdr+qMOXusz495BO/xR7xv3Gvqj7jzuI9zvMP7oJ/R94r5D O9ZbtA87dHwwLugPeN3xvkPnTup52oHjYD/jfsF28H7xu7BDFwZ2tAN/PFfE W2jH74bOHccN/QydO/oHLhR1MIyDBH8T43YSb6I/+K61HjR4pfi7uN9CBxZ2 +AePE/iqEI+Uuvp22qEPG7hT9gf3iuCrYvsSF8P+5+Dlhh3+wcuk9ZEOXd3Q 1XL9d3FvdfkdPu/66zx07lvDO5T3ykPHkP5xL5Z2qKvoobfI/Td4stgudAl1 nIMXi/Mk7uOjwIcc8Sg5R1X8uGgneLo4DzFO0A8KnQ6eK6Qe2EPPgvaIB3rE A1mXJfhuh05QxCfl+20GvpB28qhHPyPOyXUe+1fEbTjOuAdHHKZ2fgs9Ea0T 84jz8LyEdkLXo/LvjmNw3ERPiuswdJpgj3gFz88R9+C+c2nxXO1sp+nKx6bv ceQHHM+IE3I9hz3inFw3Im7pZf0heT9pF10k4PXoH3Fa+qP9iKPKOaoRdRTA AXnJ60xcmEd+hHGjyHfI/ctRhyH3pgaPfIqsnw2oF5H1s8EjT8Fxw3qE/kC/ AL8b+Quu/5H/4vdVnq+aaY/8F+2RX6B/4Ch43sb9FnEF2KG7hHtt4Cgkb92E Oj+2j3YC/8Bzy4AiTvDf81Kpo4T6NuEVbWZ/oFPAuEg3HsMVpxb4h5o96upq /cc6A30H+MOO+1rgRuSeVavH4jkB9sDt0B/5rsCN8LsT/JoHDoT2wIHIPWW0 Rz6L5xbYI5/F3w38CdvvVczDRtRRcd7CHrgRmeeNqPuR/hCf65EH5zjDHnlz +kceXHm3UcdAe+S12Y76R36c53b0M+qQaEf8O/LdjAMKftwjry3xsw6PPDjt mM+4B+H9Rl6+1h/4R70nfzfyzox7on3cX2CPPDvXf/Au4TuCHTpurC/szqez nagv8rKOmjqlHOfACdAeeeqaf9QBcx2IvKes29W9D3aMG/bBwL2wHfQ/8vU1 e+T32T7mLdaNqC9G3QXfI+YP2oE9cAjsJ8YTOmuwB25Eebg8cCYyPi2od6mN A+/7ob8WeCq5H7UBB8z+KG4U/tBDQdwA/tATgX/grJSfCzhl2nG+Qjui0wFc reCoWj3wUYzLo64X543g0eI44LwRvFvgh6K9/C4qe/AyMS6EfkInBfdi/C50 NBDvj/g/14GI/7P9BJ/LeYjnwnyGrk3gr2jXeRu4Vq63sAc+lutt4Fq5v6g/ 7Dg/wB64ytr6HPhS2rFeBQ6W+0jgYFEXS3/s74FrlfhwE+p0JQ7cBJw424E9 dMmUX8ND30z5NVAHwPsO1p/Am9EeuDLZ7xz4ctrLuu0m1B/QH/bAx9Kf+2M3 3pU4GIxz6Kqx/ziPBa6M/YQd/UEcFe0Ezq3Wn8D3OvTgMA5oB3EG2AP3Sz4s tB84Xt5T8D2X8e824ClxflLcJP1LPSbGj7i+IY5WxlkrnqcyztqKvJqXcdyK fwjxRcQnYUe88KfST/wu4rqyHzCui7hqGV+seKQYz454I75zrAdYB2DHeqDt YL3Hc5U8NC3cH4VfnOsb4qoYB8RXZV3j+rZhuZ4yvor1Dusf1j2Jh9bGH/tM ub90eBnPbkU+2Mv1m/hRtoP4NuyIl+MegXh6iWtsQZ6bzwU74tFlXXHFd4V4 J+KfsCNeDn+MD+Ll5T7ezvbxvhD/xXeB/sj+wfZx7sE5SPKXnA+Ik8OO/BXG B+uj4vawrpV2t3LdbKR/ua41cn3DOoh2sB5i3cG6i/Zhx7oLf6xrijss1+Vm rodYT+GPdTXqv+iP/mNfURwh9hXsM7BPKtbBZq6H2LfKcWN9gowb9Trpj/VZ 7l1cn6OuSsaBdRr0x7qNc1uZf6t4/mCPOi/acX4UHAO/I5yLcP7Dd1qeb5kf 4rkr6ub4uzinRZ015y3skj/wqI9mf7B+ludD5kt4PoQd50S0j3M58+fRf+QP EM/DOQrxJuXdxjqGOCXu9ViXEMdC/Ap2xKvQPtpB3BHtIw9Rxu0agYsCTorn K4xbyTtc6VEg74HfRX8Qh8PvIn6H/pPHIuJ3sKMd5MuxrsKO/Dpx0pFnx7qE eDDicsjrIM8DO/qJeB7sZX6rwp2XeZFqHJC3KOdpE/0xzoLPph15E9iRb4E/ 8h+Yp4xnRh4F80TnD/JdOh+QH8P4l3H8ig+0jNe3M26PdpA3KPPyHcDHcV1F ngntqG4JfhfrEtrB+CCfBTvyYFgngS9RPD3wHLAjfg48B/Y7xOtwb8f3C3wI 7MC/oH3kRTRfgX4i3wK74DYkHljty8B7ID6CPCr8kWfVug60AzvwBrADpwB/ 5I+ZTy5x58Bb1ezwR3wS7w/5WJwfkD8eUHx3LVxvYUfemeefyPfieZlvKvLY LcCF8xwFO/INmD+q7wc78hToD/ISqi+EfiJPxPxa5EOYBynyNDNr41bihqrv Efmfkke1g+sh8keIV5Zx38mo8+G+LzhO+iOuKPlvxhURX8O+j31NeD0Zl4Md 8dEybtMBvYhaO/hdxGPL+GmFL0T8tIxftqFeiOco3C8k38M4MN5X8LGwP7j3 4XdhL+OhzbRj3BDPw/Mivon4h/rDjvhe8L8xv4znCj2JGj9xuS41ePDO0Q7/ 0KdAfZGX8cVW1CN5mQ+p7n2Im5a4lMofeZPgzWP/UacX+hY1HuXg5cN+wP4E 3x3z1Pq8wden+FG2g/sy4t2IJ2n/cT5Hfkpwe7w3lfedRsbJYUceDP0JPi7O Q+Txg+8L+xzrHMq8/H/b767nEp7j//p383RBz4n4gSGCB4B/8IPRDv/gE4O+ C5+31CXlecVDx1DOvY0euofsZ/ChET9dxlsaPfjHOG7BQ8j3ErxYuFeo7hGf K/iv2J/gyyK+IurfnLw8Ms6Yt8hHoP2ob6N/8Jvxexf9dNqjno79QfuPynvE eAaPnJXnnmYPXU7UddMf+xTyiBhPqf+nP/KGJT6ykfsy8qbl/Y44Y9qR34Qd eVrkQ5FPRfwV+3iZ12xk+7uXeUfBiVX24HWkPXgj6Y88JfyxPyJfuGGxLzSh zpx25kkjT1nW/zTZLkWesuIXQD6+V7EuNaFekXb4SzzXg+eQdnyPiJMHXyJ/ F+dw+AcvIu8XZT7eaQ8eFY4P+inxcd7jEB8v97tm8CBwPqN9vBfY0X/E5RGn V//g52R/gCMv47dN4N3gORw4cOQnyn2qCfwdss82W4lrr/oTfLkyztX8Z51b 5OnK72K0B18u9MOq9S3W/+BlpT/swd/LfQ2/CzwE1gH4A8dQ5nur/uA9AhcR /LTEj+F7DB0pwWm1QLeM8xPrMPAiOFdgnKMOtsYvXsaRGjx4emmHf9TbWvD9 8pyg3wvwMsDJDCtwKg38LqL+Vp6rEXWqnA8Y56jvpT/q1YPnmt8L6orw7/Fn 8GwzTwF78GabzD/a8f/4HbQfvNV8j1oPivceugC0h54A2ynjWc0e+qTsT/Bn 0x84LvwZ+vUm4+Wh72ByH6Zd9g8PnQiT9d2Dz1z5SDz4vU3WKQ++dPCty3lV 6/BaOD5oF+N6grxHfNfBNy79b/TgM+fz4jwW+hrEUxF/3a1vQnvoiQjfYgPz HaFLYuV31eahb8J6UORNQteGuKzQr5H2nff60NGwcn9q89Df4e8inhB6K7SH XonME64jHDdZvzz0SmgPfROZnzzfe+jpQOeA37XWE+PfBW+/vHf30EEQ/wYP /QLyEISeg4eOg4WeAdcB/V3YQx+Bv4t+ho4D9Ay4zgvvKtfV0EFgfjb0Ezx0 E6ADwefSdmAPXQkr9+nRHroJ4t/goU9Bf96/oj+abwj9COhw8HvpI/1Be6HL YHJ+SvrT6KG7QX+Mnz4v3gO+RzmHeeg+8HvHuoL1RM4xHroDHH+sB5jPWE+Z F455i/HBPMc6IHkXGQfmadjPMn7R5KGPwPUQ30Xo47Ad4FxCTwf60Pyuta4X 60DocQuecLKH7o+st20eet/0Dz2gWvtY90JPnP5Yr0J/3ELHh89V8i+3+Brf 7DRhXv8JtKPeMfR9ar8b+j60X1rGKTx0yWWc27geblDM2zYPHS7Ot9ClUr5v 9j90fOiP9Tz0tjivwC8Tuursf+egKX0OWR1x2nauS70bHh2y8cJp5MULXXi2 D3/MV+TZQxee9tCFpz/6efNX/7jtxGEV7zbWZazTmOdY98v9oUP2Qec6X56n Gzz02S303zkfUM8d+lg1vWi0D3vokoiORJsfMfibE0ccXvGI4L2U+2+LX7T/ 06/del81buW6MdVDD468caH7pnzoHOfye+T52EO3DrrpLjgv8tihn6ETR3vo vnGc0R88d+h8cV6FHlxtXUL7oTdnoUslebRqHGAP3SvaQ9+K4yb1Jx46cTwn hB4c/TE/0H7obXHfD10t+kt8hvh7yc8a3pvEbYSnqKpbE31MV95sifeyfYkb E4cncWbi/CQuTbvWAwgvuivvuupigf9K4k6sQ5B4kUW8iOOgvPpalwXeJ8kL KB+7xGWq+k/4Cx87/cG7JfFS6shIfFX52NkO+MokfstxlnwE36PkF2iXeKzq O9D+kIyb6jtIXoDtS16gNm/hD/0IiYtSl0Hin7V6JOQ1odeg+eaIx9KuOgIS d+V4Shy40rct8xd8LokPW8SHPblfu9z3uS8m8QHBR1a6PxJ/4z4t8TTVMfFE x4TtoD9JfMOTOINLnIT9kXiF6rDwd3neLeOQtedSnRSJc9Jf6x/QvsQPaZc4 J8dB4qW0S3ySzyX5I84ryTcRryy4MtoFZ1hbHxK9BsmXV+tMoj9Ff/BbSj6I fH2S32E/Bc9TWydhB/+n5AeV35j+osvA/oOHUPJrqkul+m8u8UaeqyRfprpg rnpYkpfkOEuejnbJ67EdyVdSJyvJb3qSx/Qkn+hJnNMlzsl+SpyW/ZS4bq3/ 8IdumsSTOc6SB+E5VXkloDeHcyDvJXFPl/g+4wCwI36AezTiHVjvEPco88pN jGPAjnhMeR9nPoNxmDIO1sx4i+RFGJ+BP/qPuERS51vDzUSdL/c15d3qJf5R z+tJ3bdLnTjraZO674qPIPyhHyT13VbiyFjfTd0fyWNSx0d1a6FDlNR9u9SJ qz6R1n3X6rehWyR55Fo7qj8l+etaPTOeC7pUkr/gdyT5jtr3pXqLkmdU3T1X XcWkHl/wapVOk+RD+Z1KHoHtK88O/G96cORJrQfO4b0MeeQPL/xkm96ntjOO ijzy/gU/Q6vfd8rLPY7ZbQbro+F/QPAPhL4776FoB/MOfF7Hn7LzmF/7DOGL aPXL1rrtwCGPz6SefOjbsx3RmffQr4duPe3AsYS+PNtHvh6/27nNpZNad6zs mF/Yt0JfXr6bFvIhlLwuLR768hb69eyPtg976NTbkheuN+CdkbN4v4b/ngNf X+GmARXejPiTQRs+vdTRFX4eeTG8F/T3B8veOHS/Oyt7zy1fWXvbQTPpv9b3 X+vY8/7ZXvJwtPJ5YUc76Af6Bf9Zzee++9B9s9lP7Q9+p6znmun4d+rP/kYe E/3er3z/HE+MB+yfbXPz3S07TmRcJeaNybzk+ON9w473LvPJ/9xnwJY3/mw2 14PFB1674jVbTiMv4ecxn0oc3Ux+f3jupiuP+N/86VV+b94v5g/ax/wteWCJ F/fV+y02q6PnHPLk4b3h+5J5z+8Lz4V5ivaH3bP7vv2uncL5Cd5JqSPy+594 67xBe87hfQu/s/W+3f2ReiQ/93f/mb7hmu3kt15q/J//9370veDPqTOXOumF H7bTzvEOPk38LsZv7N27bzVsXPW7sJ/Y99Sd1hnTznEeeWP/LT4dOJ2/W+Kz 2/h+8Z3j78dH+0O37X7fmC9oZ3i0i9/BfMD6hXUL6xh+D3asY7BjPcM6ht/D +l3yq7QS9471ecOyH1yf+Vyx3qM/6HePWIcwH9AfrOvwL3FRVR0x4nU4t+J7 x7kR51z1xz4J3ALOabADLwc7zu9oH+3gnIt7G+J+5T2jBbqYPNcAD4b7IuzA ueG8iHNTiTdr5PkOeDP4I26BcQMuEM+F/iOeWd6TWnjuxb0KeEWcV9EOcJV4 Xtx7MM5oB/ekcvybq/r3wIkhf4E4KM8J4Y/4Xzl/qLtFHF2Jy2kn3gw4Epx3 7gpcGfBtsKvuGfpZ4tMaGT8r8YEN9AdvEuw4X2N9LnEb7eRNQl4b7x37Puw4 X19atOP8XfAX4XdxLi7HjfkM8iM1bNTn+B32a+d3jfmA/8ffww5eIYwz+IVK fE8H8Zb4HnFexjgDp4h28FxoB88FnGdz2Mf99ZD/xQUHiD/GE3hIjBvO9eX7 Yr6H+M+HjurOt6m+2lmRb5P5y/UK/mXerfJHPhF5PqyLyrOLdRF5HOQ7x87u zh+qP/KEN0VeRuo6/P3IkyJ/KfPakOfD96TPBX/kDWEnP0fkDUt7C/NTZX1y E/OG8Ef+Vp8L7SOPg3yefN/kE4AdeUDkK5A/hH+ZDyOfAfdljBvyuVI3wjwy 8nnI7yGvV+aBGtj+f9Y776ktJs+Q+vl2nifxvSKvBDv8Hx3WnUcuzyENnCew w3/M0g8Nu/mfld4F1gnkodB/2IGrEZ0T5sfL/Gsj87ylrk4T8904dyFfh/xv +V2MZt4Q7x35QOQH4Y99GLid8ntx4mfWizwi1pu+kR9EvhD9Qd6wPL8553n5 vA3EKZX9aSBOCf4Y/+NG/WmN7Xeo/GEHHqzsfwNxR7DDH/zT+K4wbodGPhT5 2g/K9ZLfBfyRt4UdeVr4A0eFdbHM/05lO8gXA9eF/sP/6udX/NFxX0xh/2Ff 85J/jRhyKuvreI695++b//Gq5WfzvZQ6maz/9Kfi/C91if7gmLvuv3DwHHv8 sgEHDn6YdX1sX/Re/Jc7HXXwdQvnyL24yZfe6rZdx57Wzt9t/Gzs++tsP47t wI5zxGIHNfX+vc82qVf0Pd66/M3eZ8ySuEET73ew4zsaudwpGz1zZKXbueKx zzx41r1zXPVO1+u1z2q9D2qX/Y789PxdGV/+Ln7vR9ded+yjk9tr8QH8Pe4v wGGUujXtVuIneA414DlK3Fl1n8J3hnuc1EXzvlbuF228f+11+f4nvLKgspe4 DtYPs//ww7/T/uDeifsmxhfjh/HBeOF5Ye8R76nEvc60NY65+thXFlT3R/wu /h9/r3biAB/b+oLOE1SnaDTxCbAD14D3UuIJnO0Dx4B2FA+DeYJ5iOffJL5X fI/43vC9wv5lfCf4PmAv9SFn8nvBeOF7xfe1XTnu3jyke56I7gq/d7SD8cB3 jf5jXuO7xvPCjnmS8IrzfAA78mKwa31qwpuk5wzUxfN9C/8S/YWfyhOeJU94 gz3hkea/w7kX+hQJz3CF6y15lT3hH+b4Cr+0J/zVfG7hr/ZyXSJ/Nf2Fp9oT vm5P+Lo94et2zVsiD4j+Co83/YU/3BN+Kv4pPFee8Fx5wqet+CrwzLB94c3m exT+c/49nhe6irALP7kn9z5PeLP5PeN5o365spe82YpD4Pqa1BkpjoL+Sf2F 4h+4vyX1R57wZnvCs81xFl50/jvllUn49Pin8JN7wi/nCf8b2xEeOU/40Pg7 wvvHdoRHjv7Cm+cJr5onvHlsR3j8aBcePxkn8unRn9974A0Snj3+fsKfpDx7 ev4Avwr/XnjsPakjU142/pnU5Sm+he0ldWGe1JF5UhfmSR2ZJ7w6iqvhn0nd pehSsO7Sk7o8T/h2lNcVdZG0S12kJ3WRmj/l+pPUmaqOC+pANd/K95DUe3pS r+pJHagn9Xp8Xqk39KTekP5Sb6h5c+67CQ+85vervN9388xrHh/xSc2/Iw6p +WjERTUv70leHnE8T+o0Fb8q33utnl3xgfRP6lIVz8b2krpXxbnxvST1rYpP 4zxJ+MQ84Q3zhNfLE14vT3jDFO/H30/qEz3hJfOEj8sTXjJPeLeUNxk8OZ7w qinOgd9ZwlfmCd+aJ7xknugfyX5CvRueH0Q3hP6iG0J/0UvyRGeH/qK75Il+ kJxzqR/E70B0gugv+kT0F70hT3SOZB8iDzntwkPuCe8635/wq3M8hC+d/mgH uMdEN4rtwS76Zao7U1tvsA8m+lDcl0SngP0VXQNPdBbYT9EvYzuiX0Z/0Uej v+ij8T2IjpUnOmhsX3TQaBcdNI6b6HDRX3S42B/Ra2A7os/lSX6W65bkZ2mX PCDHT/K2Gi9D3pb+krf1hPeb7UjeU/M6yFfSLvzkmsdCHpZ24TmnXfKwnuRV PeEV5/crPOG0C0+4JzztnuggcF0WXnFP9A44nqI7wHET3QT6C486/fFd495U njPIJ++JvoPmt1x0zDU/zvaF753tCM+8J/luT/jq2Y7w0nuic+SJzpEnOkee 6IZ4ohviiY6JJ7onnuiYeKI/5YleFd+H6C7RLjpQnuhneaK35Ym+lSd6WILP o+4V7aIb5Ynujyd6Oq44VuiMJ3pAnujveKIvw/VDdGQ80f3xRF+M9w/RI/NE N0fiU9TN8UR/h/9edLU80fHh9yF6hZ7oAXH9ED1NrnOi18l1QnQ2uW6JXif9 RT/UE31G/q7oh3qi/0h/0Q+t4qKlLqQnuqWe6LV5opPF9yK6bLSLfpbgTan7 xvcnum+e6HzRX/S8OI7LFOf6aj8QnknaheeQ71vxI+X7aKu1L3yVnH96bsD7 QH/wXhKe2DQupvE7xI1hF750nrfK+Fm1T/NeHfMHdsy7cr7VeGs94S/1hO9U cYQ8h8MufJ6e8KBK/Q55UGkXHtRa3kjzTOhneY+o8Yd7wsPP8ReefNqF790T nupa3ih4qmkXnmpP+O3pL/z/tAv/vye6A57oC8h6Qb0AT/ixPeHBruWlENeF XfirtS6b9oQ3m3bh4a/lpRDHTvixtZ6O8W3cf8rnGs17uOJlcE/DvRP+sONe Dn/c20ucVwN18hTngnYQV8A6yfhw6AfCH3GEsv2qn+g/4g+4ByqeCPdVPa+j HXy/uJ8mfNqe8Id7wh/uCQ+2J7zcnvB+e8L77Qn/tid86Z7weFfzp+S7pl34 rqXukvzqjCPo/QfrHvZ5vafBH/d9xCkQt0C8AvqRiocq7/MtnIfQX8T6CP8y PtLC+Yx4Som7Jz5CdTMlPkx9B//8tns/vejZufLdN/gqA6+4dd1RlV3wUPx3 8Icd/w7+Sxz54XU7/3muxOMrvC/+HvaE57kW10B+P+GRruylvoYnPNue6How DgI78qEYZ9Hp8IQHm+c64cGuzmMl37UnPOrynsijTvs3z807+PSDKr5V/H95 Lx7tCd+7J/zznvDee8KT7wnPvCd6N57oAXHdEL0b2kXvRuvHa+3ArnXoogvj iY5MLf+teW7FQSd6KzWcxFJybhH9HY6j6ObwPYm+hid6NPQX/Ysa7gE4nxIn MV3iQjUeeE90czjOorOj/Bv8zhK+5Vq8I+HfYFwx4TFWXhH+bsIPrHwatf7A H3FI4XUBD7DybDC+mvAbK08O42AJv7TyllT5ku/mCee+ILzftAsPtvJC8PtI eLnZjvBy19YLxJMTfnLlJaA94RtXfoPaPR/rEfgKEh5y5VXgfSThfVU+B0/4 HCR+W+OXVr6j2nwQfnvlz6nqOL+br155aWo4J5wnUM+Ofgovt9aP1/qJdsBv I3X0qA+qxRkTPiLoGtTiLKhPT/QFlA+K622iU6D8TlzPEl0G5V+iPdEpUJ4o 6CzIeZU6ArSLHkEtL4v1OdGj4XsRPRraRY/GE50LT/Ro2E/RuaBd9IlkfaPu Bv1FF8MT3SJPdI7YvugW0S46R/xd0aOhXfRoaBcdHE/0nqp1u9QT8UTHhN+j 6JXwexR9E+Vn4DqW8ForzwnXsYQ3W/lSUH9ai4cin5XwYCt/C7/ThGfbEx0c jr/oEynPA58r0cGRfYI8KhI3Jc+JJzwDnvAJeFLX70ndoid1/Z7UM3rCDyP4 BfK30C48M3xejG/wwHB8hE/GEz4ET/gNPOFJoJ/wG3jC21CNS8nPwHaEb0H2 RfLQ1nBIwe8qeU/y4tZwTsGL6wm/ruTfyJfLdoQvN+ML8oRPWNonnzD7h/dW zucan7AnvMpsB/f54BnmPgp78AzX8Ek63/D76CfsGP/gI/KEh4TzQPhGPOEb ERw++UbYnvCZeMJXUJt/wYMhcTHyIXjC21CLCwf/gyc8MJ7wt3jC9+IJj4on fCme8NXU1rXgweB3Jzw2nvB4cNyFx4N24U/whJfGE76IWrwmeC084c/xhBeF 4ye8KBn/jyf8P4IjJA98DY8W9ZL898LbX9u3gp+/lr+BPdE14O8KD3ztHhK8 2bV7VNSl8p4jPPA1fFzUt3qig8Dzi+gFsN+ia+CJjkMNZxx6BDUcdugOSLyV /P/8XdER4HwSXQbJl1CXoYZHD50Iqa/7qGYX/YgajjPqbWXfIV+xJ7zEkieh jgDng+gX8D4megT0Fx0ET3iPJY9N3uPaPTl4pyVOT95jvg/hSaY/73Xd9fty bqGOA39X9BdqOFfs+2Ucijz8NZwx9qlEL0D2QfLJ87lEL4B+oi8g/SHvvdxv yT9fqzfAOSfRZRB/6ix4oqdAf9hDT8ETXQ9P+Pw90fWo4ddCB8QTPv8aDhT+ iS4A5w/mIdaBJE9hSfzckvyFJXF4S/JEluQZLckTWZJPtAQvkdWlcnykLrUW 34z6U84nqT/1JB+U8eGzHeGx96QOl/NN6mRplzpc2oWf35N63iz/ZUl+0JI8 oCV5Q0vyuZbgWCzB4ViCn7EEf2IJ/sQSHIsluB1L8uaW5OUtyb9bkh+3JL9p SX7Tkjy4JXgAS/LsluANMj63Gm4jeABq+JXgAajlP/C9JLxztXsOztv4PeGd o7/w3dFf+NA84fernbNxf4FdeAZquJPg05P3RP63Gi4H46O4EIyP4l0wzorf Cr67Wr4Q8TzNL8Ke8OfQX/gWPOGjo7/w0dEu/G+e8NFV41byy7HfwlNXiw/h /pXwMfI5hS+xGpeSj5H+wvtXuyfh/pvwbHjCs1GrM8D+kvB40E/4HGo41uAP ob/wh9Bf+EnoL/wknvCx8O+FR4V24V3xhFfEE14X+Y7JG1PDwWC/xngJDwb9 hO+C/sKj4gk/CeeJ8H54wjfiCd+IJ3wynvDJeMJPUnv/eO+Yt6IX4wmfiSd8 Pp7w+bB+T+sg8e9R/4e6P9hRLwh/9LtH1AdrnBH1yhqvnFzU541mHWNZL1jF eVEvqHbUB2tdKep6Yb8z6pC1XrnMey0gnorvQ+qAy3zYAtZT43dhB34VdjwX 8C2wa902vsPTo96xjL80sa4UdvijfeDx0F/UlWq8EvWauPdifpT1lNU4o24e 7SIvfnvUi2vdvNbTs/2op+f6FXXRqJMuv7OPOJ6op2ZeP+rjOS+jjlrr3eGP Ont97zhXon4cz4U69UslnoK6f83HCs9eDU8TPEL0w7+DP+6xeI/LBL4R7xl1 vRoH7xd8G2U9QoMPL+p9Gz3hOZT7J/Wqargf2PHvRR+thrMMvj7GKdDv4KOj Xfj6fIuor9a6YawTsPdEvXbYt4v6b/UfF/XcmIew71zUbVfxhbI+u4G8JPjd 7Yr5XNVnY37iOyvrzqt8BnhTNK8AnhWN4wgvLu3Cc0u78O56wtPL9Vv4eNmv EndQ1QegXl/9Eb8AzkHjm8A5JPy3HG/hs+V8Fv5bxsGE55b+wnPLcRbeYNqF Z5jtC28w48zC01uLEwHngHEAzkL5HIGz0Dww4lPAVyhOGbgO4Ce0zgA4D/iX 97cKvwycBvlDA1eCeGrCZ8txEH5dfhfCi0t/4d2VPAL5b+kvfLnCX0CeXv4u 2gHvRMI3y/cFXgpdN4S3lu0ID7An/Lee8OjWcBbA+SR8vPQX3l1P9Cu5X2He B/+tJ/qVtbq34KX0RCexhsPDOp/oP9ZwRcHXSn/RhZRzFnU/q/xH/C72EcUn BT+qJzqk9Bf90Np+jvwC+iM6p7SL7mdtvUH+SNcb5KFKf/KX1tZF5NcSfUxP 9DHZvvCd1nD8wK0mfK30Fz5YT3QzJR5B/U2uo/APPU2JC1PHk+cu0S31RIe0 xpsT/L2e6GAKXoL6m1wPREeV4yK6nGxHdDn5PKI7yXkgupMcL9GvrPATpQ5s DRcVfM6e6GxW+MVSZ7Na90qdTU94qmv7Fb5ribfy+014jOkvvNOe8GB7wntc O4/g+y3PBeTH9oQP2RO+cU/4xgUHRL5xT3jCa/WQwRNeq4cMnvDaPlC+rxoP sCd8pJ7wkXrCj+0JTzW/K+HH5ros/NWe8J16wh/uCX+4J/zhkh8i/7Yn/N7s v/B4sx3h6/aEV9kTXmVPeKo94aOWcxn5rj3hi9a4P/PmCV+01EmQv90T/u3a fSJ4rWt1ZVhnEr5rT3itlW8N+hAmPG+0C0+dRVzF5J5vEYexRM/OEn0uE747 Q3sSJ7LgtaM9eNvoL3xxhj+FB4924UMz9Fd45KATasIjR3/hCWR/hKeuar/k IaS/8BCyn8LXB10QS/TITHiFLOIqJrx84E834T0z5MuEv8uQzxLeM/oLLxn0 LSzRG7VEn9SEX5H+Es8y/Cm8iPQX/jSLOKoJ7xn7Lzxs7L/EQSzih5bon5rw W9Ke6NZZoiNpiS6eIY4A/+DPoR3+gds3wV1DR9ISXUuZP9SvtEQfk78resGW 6PfRX3RUaRcdVUv0tS3R3bNEd4/ti96rjCf1Xi3RS7VEX9USHVWTeh/oqJrU B/F5Ex1VaYe6qCZ8p+AZt0Rv1BLdVUt0Wk3ixpjPGsejXeK0+K41HojvV+ON +H413mhJvJH+Es+nXeL5lsTzaZc4ZM0/1g+sGxq3p46OxC2tzGcyzmxlnJlx SI6nxJlpl3gmx1ni1bRLvNSSeCnHTfJTluSnsK5qHortSB5K3i/zUNhfNM/F 35X8FMdf8iy0S37EkvwI7ZJnkXFmvsZw/5a8jyHvI/km7BeZfrcl+t2W6HHb pTsMemTrq5lXMJxnhdcU89ZOajr3dwsPrvY1+As/Kv0TvW9LdL0t0Vu3RD/d hFec5yvhWcV4mvCaYvxNeEfx3ZnwlPK5rp3ws96XrbWQ54TyXsJ8DZ4r022X 8wB15y3Rc6e/6MtbovNuwt/OcRPcF/0FV8Z+Ci6L/oLvMsV3Bd6M5yvVyVN8 WvD5sJ+Cg+K5UXBWluCs6C84K9oFJ8bzm+DBDPuY8B2xn4J/47gJbo3+wnfE +5HwLIVO9EeyX7dY8CApDtPwngW3xucSnCd07BS3ye9F8HJsR3Ch/C6EV4Tf hfDS0C515dBfMeH/iXGbSvwqxivqza2Mq7VY8APQP+qR2Y7UL/N3heeE/UT7 +F3oHgo/D/0Fl8j3IrhBzsP113no3LeGk++C7QhPBccZ9/u+E964ffuDK3+p N6S/1J/y+5V6Uot6UtqDr4brj/By8LuQOlPOE6mL5PzHORn24G2jPfjW6C88 P/y+hBeo1n7wv9FfeNgseNhMeIH4vMJfxHbQfvCk4VxrwiNUswevEdsRHiQL HiQT/iI+l/Cu8F4p9b+cV8J/wvcuPC28h0rdcW2dD7wun0vwwHwuwQ9beS8n D4kFDxvtwcPG+xHswRfH9VDy34wjCc8J72tSV8t2hEeF/oJX5zgILwF0y7ie YNyhj4l1I/KH0Fcz4QHg/Uh4KmgXXQC2I/z/Bn1SyWMY9D2F38Cgfyp8HQad XMlXGPRwhU8AOn8m9SUWeW0TvgL6C19BrR3YI29uwiPB9VzqTS3y4Pwu0J/A M5jwq7Ad4WGA7qCJjgN03Ux0E2gXfQeDXq3oOBh06Mo8W4NBN7ash3ODjqrw WnD/El4a9kf4KAy6scJLY9D5LXmXGgz6ucKHw3ETXpfafg1/6PwKL41Bp1h4 bNh/4aUx6DULf45B91l4Rdgf4c9h+8KHY8GHY8JLw/iG8CbRLvxO/H6F34nx NOGTob/w2NAudXgWOBwTPkN+R5K/teAzpD3wJvQXHJkFvyL90Z/Aw5jwLfO+ I3ywOFco3zLv78IHyzhJnG9o1/NYnI/oj/cY5yn6C88t7/Xwj3MNzjPKUy1x ocpe4j/JU01/4d1lXAK/G/s54xKiK8G4gfCp4LykuhX0Fz0FS/QRrORlpZ6C JfoLpvoLsX9i36R/7MO0Cz8244DI08W5DOcx2mMf5niK3ofEA6nTUbPHOZHj I7p+7Kfwcht4XUSPj/7Cp832hXed/RFecQM+WXjUcQ5UHm+2L3zdtfaD/4b+ oqfG/gvfuIHfRvTjcB5TPnPqygs/uSX85OyP8Myz/8Izz/VE+Oo5f4SfnHbR xeDvYn7Cnuhi1PwjLiJxUep60A7/iK/IukFdD9qRn424O3U9hcdb4orkCUO8 hfaIQ7A/sEf8hr8reihcl0QvhuskniviMfSHPeIo9Be9G4l7U6cG92Kpw1pg iQ4O12fYI64j6yp1UhAXon/EY/h+haed4yZ87JxXwrtOu+ic8nvBe0c74K/G 80a8x0qeH/LPW4mnoC4qv1/RLcU5R3UMRXe88gcPs+gbmuobho6q6JFTv4/t wz94r2kXvmoDP7Poh1q535B/2lQ3M3g66S/6pBx/0SG1RIcUeTTVG63ta/BP 9BBxvqI9zmUcB9FntPI5yTNq5T5N/UQr3x9x/6Z6jqFvy/kgfJyW6KJSZ11w dZbon7I/osfK5xV9VUN9KfoV53oDb63ozxren+g/8r2jHYwn+MlhD95cvkfR wzXwpcM/+NHZvuiYcH0QHRYDTx3OdcFTy3VG9FkkH0TdE7YveiVc/0Xngvuv 6MXUfjf426r1pNRP4e+KrijHQfRMDTy3+PvgnaU/xhv+JS8r9Uw5f0RPhM8l OiAGHjnRw+X7LeMV7Qb9EayrcW+r9RPrNninBQ9vJR6euHdLcO+W4N5tiODw 0H6Jwyfe3kq8PfHBluDhrcTzUf8BOA3mu2FHHQrOBYG34njCP/L/yPszz4t2 sH7CP/AgMs6s16Bd6lY4H6QehHapf5H1sLJDBwr2wH3U/AMvI+sJ72eW1AtY Ui9gPDdH+3i/4L8V/D/icvSP+A3fo9QRUJ9e6hE4T+Seinid8sQDL8Q8deCD OA6i58X9VOodEEfSOg7Ei9gf7o/Beyz6XJxXWLdgRx0f7IFT4/yUOlCue3gu 2FHXKfWAVtZXsP6U6yTai7pRti91jjxXS52jaZ1j4ATpL3WOcm9lHSvvifh3 sGtdauAx2X+pz5LvkfVZltRnWVmfxTqs2ncaeCW+R6mr4vyRek+5t7KuU3BB xGcjTsj3BTt4tuEf8Uief4jHiPMD7KJLiPgh/SMeacoLgHUA/NiiB4e8pOq7 8XfRz4hHyvfOc4RB70/04wx4d6kX47lL6tcQr1PdQ/YH8yfi67SL3iXyxdw3 I88s8TTqQvJ+h/cf+U/e10R3j+ub4MiRb1V9PfrL/o/8r+qNAh/I9wg7ziei hyjncNZR0i46qpboqPK7kDo+uZexHhB5E9oj32LlOZ71faZ1FGgH9YCi08p1 QHRdaRcdyZo94tMchzJe0oG4tOpU1vxhR10k7JEXqo0P2kddqvDvIU6t67cF rx3twQdGf+EDRH6I7w35lODjYjvIawZ/lwl/oAWfGPer4Anj7wo/G/IB3B+Q 3wm+NcYbgp/N+hT+5CWz4BmTc1yzBR8gnwvx/OBp5HPBHjyNXI9hx3jCHu+B zyW8kRa8kWwfeRP8ruzbFryIug9Y8Cgqns6CR86ER840/gp78M2a8Mpa8Mqa 8NnW2oE9+GMlztdgwVsr/Wyw4K9T3KUFX5/iWy34/eR3Gy34+uR3Gy34e8Xu Fny2ire14BVUvCR/F+s67Hhe+Mf8lXlL3mYr477kF+Hvwh92jIPwDHP+wx92 PJfwG8t3Qdxobdzwu5g/wlPN+YB9DO1g/sAe807GgTzVfO+wo/+YJ+V+1GTB l2jCW2h6X0f7t8n3gvxd1Iea8BxyXRKeQ657wmco3zXPuVz3hLeQ66TEy7ku SV1qnDM7TOqY+LtSr2pRr0o71ueoh5L7xGiLuieTelu2L/WqFvWqcl90i/pf vdda1P/K/jbaop5LzsuNFnWLJnWRyL+a1GlaGX+q+PWivoz2qLu07477NlnU adJOPG53vafuzxb1nib1lRb1lXrusKjflDhxk0V9t55/LerN2R+MJ55L6uYs 6uZM6tH4vFI3R7vUtVkZJ2PdpUXdpUn9dW0ewh513BJ/arCoj5b502BRD27C 38L+SFzKov7RpP6U/sIXB7yOzLcWC14a2oNPi/5Sx2pRx2pSP1ubh7BHnazE UZot6l55HojnZjvC68X+CK8O+49xjueu9R84jODn0fg9xxP+wb/FdoSPi3ap Y7WoYzWpY6W/1BfX3i++i6i7NKmfZTvCqwMcjCV4BkvwBsS3CM6BdsEhZLgO S3AdluA6LMFR4PkUR2EJDoT+gvegXXAXlsTtLYnbWxJvtyRObkm83ZI4P/sp cX6Ov+QLeE4A/izqjmmPOuZq3Sv5AdAuz12wR715lS/trufmfBN+Bq7z5flt KtdJnKOCT5Ht4JwGXBHWc+HxtnJekB+b36nkjbl+Cg+DRT074xPAdUU9O/sT dfPST/IzyPpDXm6L+ndL8B6W4D0YDxa8hyV4D0twHZbgQCzBUViCl7AEX2EJ rsMSfIglOBlLcCCW4DQswQVxXxY8D+2C57EEZ2JJvsySvBifV/AzluShLMlb 8XuXPJTiRLj+4/zMet04xwrPfO38j+8C3xfagR3nTNwLUPcRvDcmvDqm+cPg w6nZ4Y/zYRlvn8xzJtYHrGM4H8I/zrmyDpAXRc4b5AuS8yTxcTzHlvfcqTxn Cs+Sybzgc+E8IzxLNX+0g3Op8NhwPRE+JZ4fhDeJ/sLXxH0f6zDawe8Kj42M p1fnorinlPnKVjnHEl/D+w7Ww7g/mezP4CuiXfh5ZP5QJ4L3I9H7kHsl48q8 l4muBO+Dovtgsk6D75bjLDzw3DdFJ8JCJ8JEt9RkHgEnaKH/S3vo/NJfdHhZ 74DzAOyhw1u1043jw7mW60zonLJ90YsHjoLtwB74B7aD5wI+GfbQESYOWXTk +buij8x+lrjlqcBpmOgd154rdKJ3C51o9j90nInvFZ7/+rmxGy/A9kv+s6nA n1jgbDg/8WfgXbjOyHoJnBFwTbRj/gd+xgIvxfbRnujtsu4A7QSOBvgZ4vBL nDe/P9rBD9DZjd+SusWqDg68A6G3a6I3XXsvgTuz8u/JUw5cGdtHfwJ3RP/A DXEchLeZ9TXCt0y78DZb8Dab8DBb8DCb8D/X2oE9eJ5NdKV5DhEdap4ThLcZ 7fJcAXvwZtMevNz0F37vWjuoUwh+b8GJNFrwb5vwllvwlms+04Ln3IRfGuNo orfO7070Kfjdif6ISTwG+iOsvxZ9E/qLvgn9RT+U4y/6obzfiX5ozT/ui3y/ oh9Kf9H35D2xrI+YyXM+6y+675FsX/Q0ef4UvVGet/G9wB/nT9Hr5PkT312c T6tzb6mXyvO56IHyeeMeQv/t5XnjPkT/ON8Dl20Sx+V9DfcF2OP+wX4GfpTr ldazwB44TNoDX1lbnwMPW6tzQTsrdeNdTfTfa+sq7IFHpT1wrPQXnXGun6LP Tn/ReQdOlfbA5dFf9Oj5vKJHD5we7YGT5XkD8SjM59BxYLwO8y10HEx0Ilh3 JjoRJvOI7z10BHiehx/WH9HpY30c4nj4LkKnj/bQ6eN6LroYUgdHHRMLHRPe O+CHdVL0iSz0ibT+gOstniv2MfYH7cf+Y7KuQPeBzyt6Q1yHRSeI6z/aiX2D +4XoqtBexvmnWuiq0I5xCB0NE/0O7rMYz9DpYD/RTujC8HnhH7owNTv6E7ot bCf0YnjeEJ0aC50a+uM5Q/eE9tA94XzA/OH86NYfoT10RjhuoiNjoSNjojPC e4Toa/DeITyEtXwE7IiDCX8j413C08g4lfBMMu4nuifsj/BMsv/Cf8g4JOY5 xgXzAfMcdpyj4B86KZwnogNisp9z/cH5TfgqGd8TXko+l/Bk0i48mbSLrivn p+iW0i76ORwH0eHhdyQ6oXxe0XXlfCvnQ4uFfijtvHd167TKea/FQk9W4pCt XPdEZ5bPJXq1rBMX3VJ+d6I3zX1KdJa5T4kOtYXOMu2hg0p/0VmmvcT3tXEd E31bjqfot3I9Eb1Urg+ir8r9TnRmuT+KDhX3U9HT4T4ourr8XdE14jomurr0 F/1cvkepy7HQt+J6CDv4HqROyELfSvLObRb6Vlqvw3ZEpwzjInneFu6zaB/n JfxuWRc2udb/+B22j3Ub/mhfdMA5P0XH3ELHnPb4d/QXfXOeo/AdxXdAf9ET 5zyHf3wfnM+it872RRfYZL5AF5j2BAdFHJ3goFRfG7gX4vEEvyR24pfYvuCj VL+J95kkz4v5oXle/q7gl/i7gpuSfhInJv0kngr/z+eF/niCBxN/4qxUn0Xv G5pn5zgIHo+4WcHRKR91rX3BDygPds1f8vUcf8EN4j1p3p92wRuovkztdyVf z9+VfD39JV+venkah1Kcg+pt0Z7gHjl/BPeo+td8Xwn+inbBNwoOmbgv1Wvm 7yZ4V7YvOEzVva35C65SviPiylQn1xKdXCt1cmu4O9oFdyffEXGMql/M7y7B waquN/uT4HhVXxt5B9UB5/NifgqOl/0XvC79BZereuJsJ8EdqU6E/G4NdyTP SzwbvwvBI8m6QVyT8vZrXFtxWWxf8G+yPhD/przibD/BlameBXCDfF7B+ykv usZxuG4nuh7IlylvPPuZ4M08uccprz7ua8ozj3uW8skjz6s87bXfFTyb6iMA 18HnFfykl+c94gy9PO8Rv6T8/1xXE9yU8v/TP8ElyrwiLlF1HIRvqIaHZP8F R6q6Zsgvq84F8tqqo5GMP/GNqo/G/FOS3/QkH+pJHhbzRvOwmAeab8V80jwv /SW/TH/B89BfcEHsp+BnVG9FeLJquCA+l+SpaRdcEO2Cm2L/JQ/OOhrBXXiS X+a+I3gMT/LObF/wGNxnBc+g+jj8TpM8NfcdwV95kr9mfwSnrXo6Mv41/Abt gtNQ3VXec5L8nequIn6iOqqI/6j+Ke9pSd5NdWkRp1UdW+TjOH8Eh6Y6RIg7 qZ5s7bkkn8j2BW+m+sK4t6oeMeLkqvNric6v5DVruEF+v4IP5Pcr+Dr6C26Q 35fg61S3iPM2qbOQdYn1JrRLnYi8L9ZZsF5V6jLoj3HG/S6p7+Dvwh/3O9il zkV13DjOCV5IddyUL4/3CJwbk7oMrhtSl+FJHQ3fo9TvyH7RJPfoWv2OJ3U3 qtdWey7BrdEueDC5NxFvRrvgvtiO4NDoL3g2+gseT+5HxI/RLjgi1dfj/p7g ylTvrHYPFZwYf1fwe6q7x3YSnIknOBPgGxS/QT4TwW9Q/0dwL6oXRN6YBFfj ch4nz0+Sz/UEh8PfFZyMJzgZti84Gdoln+sJ3om/K3gqjqfgWzzBZYkeI/FI nuSRPcHneHnuI87Kk3y66kohD+4JL64neWpP8sue5NM9wSN5kq/neAruiM8r eABP+NU94Vf3hNfdE951T/jqgWNmOyVfYo3H2BMcIL87wQFyHATPxvaFP9kT PRdPeP5Vx5f8eAmfvyc6Ap7oBXiiF+AJTz6fC3bwXSS6V57oZHHcBMfI+Sb4 TE9wiZ7gP9mO4D/5u4LPrH63xHPSX3CYnuAqPdEpo2467KF3Rrvol3miF+aJ HhnbEd00T3TfPNEd81IfivpiqvtO/pZEv8MTvS3VHSdfa6Ln5YkOiCc6X+yn 6Lt5ou/mie6YJzplnuh/eaJzx/7gefG9JPp0mX6fJzponuCOPME1eYJH4vom uFNP8E6e8Lp7oivniX6cJ/p0nujQeaJr44kujCe6M57o6XjCz+/l/Zv8/LQL P78nugye6Edw3xS9BtpFP8IT/Qj6i34E7aIf4Yl+Af1Fv8AT/C3HQXCknuBy PcFbeoIj5fwU/KQnuFBPcKF8LsGFsv+CU6VdcKpsR3Ck9Be8KPcRwYvSX/Ci tAsOVvVhGfdI8EiqS1vleb8bn6N6uIw/JPgcT/BLnuCvPMFfqa4u/RO8sSf4 ZI6b4Jw9wUXTX+oUPNE58kSfiOu86BzRLno9nugfeaIHxHbwu1jHEt0f2nHO BO9uooPjib6GJ/osPAeK3oonOk2e6DGB51f1Sti+6NHQLno0nuibeKKT4onu jyc6TZ7oOrE/omvjCU7bEzw21xPBY3uCA+e+LDo1bEdw4PQXvRvaRR/HE1w6 2xd8uCe6Qp7oAXmiH+SJLownuj/sv+jyeKIf5Am+yxOcmPDDE6fnCe7OEzyY J3gwT3Br/F3BAXqCo2Z+TXC2XvIFtvNcl+DG2Y7gez3BgTN/J/ht2gXHTvyJ 4NiZNxfcuCc4QE9wgJ7gCT3B77E/gpP3BHfqCe7UE9ypJ7hTT/CcnuBFPcGj Mr8puFNP8Jae4F0lP05cK+eD4LT5vgT/7wkO3BP8vCf4ecZXBW/M+LDgnGkX PDPbETw//aUuwOWc9f8I+/J4n6rv/YoGmlQqKSUa1EdIpUJ2iUYVpVBoUgmV UpFKKgnNgyYaKCrJTShTd8l0TbmGjBfXdM3cMpfw8/3c/Tzv33lO6/Xxz3m9 l3332Wfvtddew7PWZnwH56HkI5iTj0D/v+QjsB/JO2B7wV2zveC3zcGv8nsl v4N0yUcwJ6+N6y54VMEhEHcqOATiTs3BeZqD88zccxHlFfxsDp7THPynOXhR c/Cf5uA8zcFRcx4EH8t5EHysObhrc3DX/F7Bo5qTPyK4QeZrcJyCyzUHDyx1 +IlPFtwFcciUG6BHvLfgZIgrNgc3C38c7Up8T1LeFNL/5uBs4U8U+3SVOfky lGOSb8L5lLwYzqfk0ZAueTrsR/Jx+F7JZ8mcR3EdYz6LOTh89iP4asHnMJ/I HNw+8rqzMW8xvxt+WNpN+B7U5aX9Ff2rWJfol2X7I+87+sR+PfG+TN1A2uEb yw159OxttBfib/4/cTlP1Ft65c3buF+S908Z+29+81EDNo1eTf5E+0uP6ntJ 96fWkT72yZV/HdlnE/UEZ5zMS2i1uc0XPTvhnhEL8yc1WNf+0TWcZ5wvSdzR 2rA9VP1yTjnwyTa+Jxlf32Z/333PvtLFN/C78BvjAR39PtRswZG5n20nHd8Z 54n0+D6+R77L4ncRNwe+xjrArwD5iXVA/846evMTnHUJzrroOGnXg67z4KyX 2MVm/2wu3HvaliVxPvbXwfws/qnaKZX3rLYvvsvePnsi74Nn/3NvemHtzgEZ Op7Dtw9vfuhC0Pdno/2apxt9OWDUrnBl3xOufafRiuyh7e5+b/RB43BvL+cr jidc+eKWLocdtDNsH1N69B0N/speNrZGn14Dl4b4XsFBGMbJ33jva6ePXfPt qF38jf8f9s2+tw5bmKEn/39/nS+Ovav78YO2Eien+3Xdl7W///K8zD23WNf8 zrW6X3wb8lZ2sP/txWpePm3gUp1/fK+N2tHx7U1vsv4o84WS+3B/NtZF9yf2 u8xPcOZH+UT5X/nKtH3ka/Jzl+S+T/GzyAG2B/9Pql9/5gXPFITI92Ivr2X7 9vd2bXzRcPbL73im97zLSg/aGmS9AuZ1cVK+pebP2V/B+V7IKVO5lLf+lezn v5xXZ+agmqu+OcB3fdv2L/+fA3wOvor7g/NZPtLBF7fe8uCQ7AN8Iv2n+BTv /bh263LVDvCDI9/MkWPc79nnv/7d/40T7eP8cl2S/onMOPBelafgw/JJecN9 Lfs2FB757J0lb9om99VbyO7yR4OvW27T+7pD3Eep8ym+N8i5Kd/LfaDnpqk8 E/mRokf5kRl38lzmPEEuK7+Cz0AHv+G79BwEXc7NIOep4NV4npr0w3ZYr7OG Hjnx8wN8+su4nZc8eOi67Mm9J909oGVGH8HfY11U/mIdwVf4u4eanHnRwP9v HfFv1rFn7d3+9LYwq/0zHQ85aHvo0P/HTR803Zt9x/aLR529ZzXOLcoh3isT 5RHosv/5G3Ig7n9TuerwFeWy8K0n/9mPyH/styD6W3Dmn/qK6nXOvvPOQdVP 2I/IAY5H5jk488x+ZD7pZ4nnJc8p4Imcc438I/I5OOd1cN6r+iPlgO4bzJvD J945onpgELmmepR37gfn3FE9JSUfRS6R7skxjBf8qee/tld9Aeeco68GPcfx W/UB0FWPdc4LPeepPzh6MOUMzuOtGy7YfOFthbofIJfMkWPmyKvUeRvllYne YlFv4X2jaA85gPXA92JdRM9RO42/Ya+J/sP/l/Pa7U/tPjxhl4ndIf7QlF2g +9fbj5RvjjxP2Q84R6DnqR6iv8EnoKt+6PBzSr+UeVB+1nlR+031Xu/c8c5r jl/1YUc/8fT84Jw75ugPJvapqf2O/39O9CnIOcg9R9+zrwfuar7rwDgeuGfV UyVm7cmuNvvgbTUy+yLovsBvPWcdenD6CY5eHRz7Kzj6mO5fylWHHhw5EBx5 7u0Xc/aXp594cjKlx6s8EX4zZ9+ZI5/N2Xc6fupdLz4y/NqmB/TM8fZYsTpb t2evPOjnxv+/vBX9P8XfkOeOXGU71Suc/cW/V/2he4/x/Zb880edd+udP6Hc QZtsS6VvGpyZWUc9Z73zzrOnVJ6n/FBqFzjngq6Pybms+1fta8E7pOwy9UOS /5zzQv1d5vi7TOS2nqfBOdfUD5Aav/o/HXnpyTFz/FEp+xD9OH5alfP8u8e7 Pb2yxVX5Nv+3WwY0vHtTwPO4nf1ffG7ZhvBC6fbV6zy2LVzd97vJR3WfaP0q P37tkLZ5dkp26+cq3bAh/PLMnCcq3bAlNCn5bpUlw7fag582bD/y4c1hyd71 J9f8cbgVv6r524ur/hpebrz2nD1nbw+z9/3y/M4bV9t/vm87a8OIZbbsphK3 77hzbThn0pKrdtxZGE4befqPH1UvsPurbv3so+qbw7gOPb75qPp661hy383N X1lkc0oe9VijKwpDlVv6d2p0xcZw5cjfTqvcc11ofVvNPb3rbQ/nXba9+tCz xofXHzy1UvnSa+2cBxa1yt+4LlSr8Mrp5UtvtBJljnm69Uer7fu5Hdu1/mhd uPWtFfe1/miTxe80fDe+99vNB8/q/fRWK9mq2rD/bN4Utsw5bfEtN86w9gsH fFj2tZ32/Nd7drWpvNgWN7ux4XlfTw9r7fC6Bx++zmo3WfBG12Lbbf2TZSb9 tSo3dCh3Y4UlM3darzFvV3i8Vp616L69bs3jh4XYL98T+w9xHg3zGuczfD5u 3DsPVNkctp96g1X/cGs4pe0pF3w4amJof/CLN13UcXNoUfv8Tz8eszXU3v9b ics7fB2c7w0vVXrj3Y3vr7XfW87+44S2m0K1Lx/6+4S26zCeEMfD731qYe1O pT5YYy+v+rPSETdus0+77rhv2dzFoem1Z1f//tYCe+ryWmW/vWNHuGDO9WfO P3+A1azY+br136y1btNLHfvaf7aH/nMajBnw5Uy7dusdN31zx2oLM4cd0/gA fe+Ow35t+P1CzFuI8xbivNmy4a83X1JufSjYtvqMLQfk56pin28dWWsx5gd8 R357tceOw7e33Gndtp5j/XaNt98fqjlq1rOL7K7rtjcZtXGHdVh2xJqCIfk2 IX9CmRktcm3gx1fn2bE7rOUZL3XfPy4vfFbxmm376yyxdjtXt/lk7k57+Izd 9drcnGfPz9i87bYOgyxvUoejj/h2p53b4qLc8l8ttvOXltl41XWTrPHvfR46 9ZVdYW/DZmOXVJoR8ia2mjSq0chQ6syFtz/aeld4+e3zvl3X/acw56daVZ68 enqoddY/Y2u9vyNMyD7kqvx+M8K2myp1Lmy4LJz3Qbi1dd1dYeDdHY+rd8I0 Pt+Zm727a/aOMLf3yl7HrxsTbj7yooeL/70sxPdafK/F91p8r8X3WnyvVX9u W5XSQ3KtoN6lc7ptLAx1e/6W123jxjB69sGzj2wy3oa1Ptpqt9kY7jir44ja bQrDoeUGfpn/epY1evaEURceviXgWe2Zz38etG2KPTM6d0/pCZsDnu0v/qTd 6NWv23cjL5zb7vWN4ZYn+0xt93phaP3Fw1cc9+ROO7vMYT2bF//UmueUfKv+ rEUW58HiPFicB4vzYPH7+YzzYHEeLM6Dt76hbNlFd9Zsu9OK/PajwllDphTf MHiRjSz+WU6tM7eGjmVrlyu/c2Z4ef6+7zrWXWctlix+usKMArt+wlMVj1uz 3S77OffJXtVywIemfLisdKmf1p21xnrdXerqJ4/fYfVv31P12nOHYr9B3nDf RXlkUT5BLoX69fa8dOWIHfb5UX+d+vft40PZmWe9e8i8ZbZrylW1Ozy1y4ri FP1CqZ097u3z3XTdRxb3kT36xknZZafssCNvev7D7ltfC6O2vtOlbfl82zDs sUvv7r4Jz/Bl7b433N19dTh0davx5/66xba3vP/nBXXWh4Zf/jVuQZ2CcOmm Rp++ccPWsDF/438qNhkTug54sMmpvdcZfuP/QX+2Y/Ghpa9cY8WH3V6/ZPlt dv9B9/U4r+sSi/LZVD6fce7bb29+sMDGbZxV2KPBttBw1c3Vz6q+NMy5t8n9 v7ReEi5ef+2lVcvuCOevaH9S3Q/z7KvyN7yz7ZtddkmZ816+d+T4sLDn9ffU fmu03TLg64mTbt9l+Vtrr8ttNCnMWfjzV1WHTLPiz982rlrDAiv53qXzZ2at CQ22n/N9tYab7bQn7n0ha+ji8ORbJ05oO3hruKNat8ELmhaEW7/OefWuJ9ZY 5xJtCmdP3h6Grnv897drTA6bbj/rzwHPF1jlH8eMrnzVjtD6hR8GzTx+eIjn k51adF4FKzqnQt0heZOmFm4LPfYOuPeWLrnh1P6dV7ctvxrjwLgwniB8ZZGv DH+P/tDPwYueO+v9ARvC7kOXFpt267ZQY8wPjRp9MC1837ffzRUarbZvN4y9 eOmQwnBvh/XXLh1yQA/5qOQXs0oV2DsXbdhUpXBDwFPWxeK6gK+Cyucif+gv Ib9F5+ZPn7899Dpu9bpNjVdbPHcsnjsWzx3wQ4j8ECI/4PyyeH5ZPL/wXRa/ y+J3YT+GuB9D3I/YdyHuuxD3XWhQUDBvyhU7bf/WG1r+fNzMsGHxnj8q7lpo nU8eeVu53hvshf+UOmdlm83hsuG1L1/ZpoD7H/IAcgB8DL4GP8fvN8wH5uGI 85r+/eYJS60g7Khw2dPrQ+lic+/I6bkF+9ni/sa+Dj/3GVXu9JmLrO3Yl9cd s3ZTiE97seGeBzd9tdRmf3DW0U/P2RIuyBt90tNzNuB7LH4fviv6x7+xPyvP Onvgvqmh6vZ7Pvs9HLCri/Y/5AHkQHD0LoN+Bn0t6mnh02P25QzZv8XiM5x2 5ZAlLfYv5fkNfgGfYF2xzlhf8AH4AvwQ9YoQ9YoQ9Qrsc+x77PdQ8vbSV5Yp P8NWn3dy122Fi8IDe+tO+OfZrSHuf8gDyIEY3+0HOQr5CT2J/Au+Bf+BH8GH H57QadwpNbbbhh+GX7T7qNds93P5P1zUbrVd91qVIbNG7LTTZn177thKS8N5 rcu3OG30QLurxx2bz9u21N7v1+yaS17eGj5ufNSwNocVBDmnAvSQWYvqldv9 6EI8wz0Pv7nhl1O3hiv39h66vPskK7JPh4d7phw/ouIt20IcT4jjCXE81IOh F0PeHttj6PE7Z0+2AVdf3blElanh0CaFR/x69jbo5dDTDfr5zm13bv1m1hqr 07ZK/jeztgT8/mzQDyf9c9sku/yPc7b/ccsAG/bEY9d1vX1bwG/8P+hTGpY4 el3XyYbnlhZfTV1ZdVuMo4+yeD7jXMZ+NpyrOE8PK/v+772uWWYzd287pMWj O0POk2U/XP/EhIDzPs4r5hPyguc5zvFyRetk1xetWyhftF44z0zPu7h+XE+s 47TKFcdUqrLN1i46/sWRb04Oxdp+3rdR8zXQK0z1CugN0GehPzj6GPUVmR8r 8luNsTWza+w4qPPG0PONLzYe1LnQivwDP9hxr594Rqvlm8MbT5zWqM8ZW6DH BMhRyE/ITchRyE/oDSI3rE3vb09duHGGvXXsnvk7am4MF01v9duOmoX2fesn r8g9e5J93OXOxa/9tCUU77qgd4frNx84b14d/nilNbZqy43jLyu9w3qeddEZ Kzp9T7sFdgzsF+FD2ok4n3Be4Zz6tlrbRldtHGG7S21rWfWVxeH8XX+NvrHf 1jBqziudalZcZ3NeWnHBp8dtDfcVu/SWXqPy7doPr5pf65cC+6X8eXM/Xbbd 8ir1+uTYI6d6/E87CnYV7CmcuziHcf7Key2+F3YL9Uec7zifRJ5T/5Pzgnoe 9D7oe5Evg8gZa1Zkz9jXRfZN6Fdk1wQ5vyyeX+H3/nb1PQ/uskMmdfy02EXT bchhzxfumUG70tSuvLHZaY/8cviOcGGFb2vuPH0Jn7B7Yc/Bjps2s3ixLeds s5yDC294/NKpdkjWfZWX3LRG5Z5B7omeQD4RPYHz37nIDg/RLg9Li+xx7EOT 8z1E/gyRP0PkT+h5FvU+6HuU1yJnoC9a1B+hN4LfQuS3EPlN5YNhPOhXzgXM s8X55RN8FvmOfI51FT0N9leI9leI9leI9nKI9nKI9jL0b4v6uEU9XOWkRTkZ ol0col0col0cHDslRPs6RPs6RPsa9oaJfREmll7/wulv77KOjSd02dF1ht1Q v/FXjXb3gb5i4l/CfgwpOfDv/gfYIRbtEtgjtqbUtFo9F+Va8V2vdZy46YAd VX/GlzOLb1W/Df0kYm8azjWx7wx6oOxrjkf8SNxHQwe90f7Mr0eFH++7eeXj n+wKUw4/fM+jlSeY+IvoD4l2Duwei/YO/Fym/r14vuK8xTmrdqVBn4QdBbsK 9tT7704c+uwZo61Lr40/Lnt1mR117/bSR7TcGuS9Ft8bHLvD4nfiuy1+b4jn rsVzGOdveLHIvxYeL/K3he5FfjY9xykno1wKUS6FKJfCmaMOr3FC461WUHXP DQuL97amYU6Pc75ZZ6+t7Prz9rpbbebnuVsGnjzeznt34mvrXyE9RHqI9DDn 6wWHfPTbMqva7L2aua3Gh5+a/TXu4wZb0X+I/YfYfxA/G/VhsWsM+j/mF/ON eY52I+xIi/ZjAB+Dr8HPYw9bsK/tAf3qwQcfubbWx33C3hf/+rXVo1tD3G/Y fyHuOytedE6EeUXnRhhcdF6oX9dgX8yMftsuRX7c8J8i/636owz6T8+cwzY1 eGKHzX/oqaun11gc8Dy9w8bp1S7IsS/qPvXXjdM38/lD9+ceXtivIOC5e+8t dyzstxnjN8gPyI0ZrYv83K/c3PH//N/4Db03iN4b4vda/F6L3xvELqAeDr+P +l2jfzuIf9vTY1X/5jOed6bn3f4eJ1+77+PFdtEp64tvz/3KLjix2FMvDNyq +ptBf/v79V7dRs7PsgbTKtdvu3czn9U/33/zN48utW4nN/vq9q92hnsKSlfo P3qEDaowZ26Nx9aEm5fVmlbjsQ18Vr/5+aO/rrPY6tngh25+fqI9073vwG/f 2qr6qkFfrfHq8GdfWTfVbrzw1HpHzh5mnV4o17PUFdv4G/8PumM3BfAZ+A78 VmzFo8fu2jSFz6HT3h/zWblt6r/lOSX+MYv+Mfg9LfpB4f/EvGCeMD9h/bWL h7xSeUPYc17ND49stiS8WazegFcqbwlYD6wP1gXzhfnDvEHeQf5B7sEOF3s8 wF8Q/QfwG8CvAH8Df8fxWRyvxXGq3Up7R/wV5vgrDP4K0buo50AeQT5BLsX4 SIjxkRDjI+DjEOctxHmD3kY7A/ZFXG8+47qHyFch8lWIfMXf+H/Qoxy0KBch D+2n+/8rh+ydKf+VTwG/sQ9jPCjEeBDtDdgfsDviumPfhLjuIcZjLMZnEJcx 0Yuod4n+Q/sF8kX9k46dRTml/mrZX/QXxfgf4oGIA1qDKA++iXICv6FHQq+E Pgl/tPql4SdV/63ot7Rfum69pVvLsesP2MmjOrccuznk1VjzRsuxBcGxL9Qe 4bkv9gvjd+gX70H/oifwHBc9gfrAZ3e1+PapIRPs0o9ePurCXrv4W/wt/B3j s0His/Z2+wpHdD18vH28Y9C4Y21X2HPskg4H137bivDevQ/Ik665j3+7K8z4 ruM7jw0fTz1P45vxvOQznpuItwaJt1Lf1Xgo9E6N/yJOrHwicUlDHFbiv4b4 bzx3LJ43fNYomkcbXDSPAc/4/ZgPzEOI84X5w7yFqJ+Y6ifQC1RPcPyf8AMH 9QOL/5b6G+SoylfYLWrfiT+ZdgTkL+Qx5DDkO+Q95DzibYhDIu6GuCnsQsRP Ec+L8T3E9RgvjPFDxA3pX1a5AT9X1Pvo7xI/s8HPjLhijDcizmij65c8f9j8 zWHZ1ffNqdH2+7B65LnXNDhvC+OCiJciPoi4I+xgxB8xDvW/YdzqJ4/736I8 sCgHDOPAuDAetMPfoX30mwX1m2EeJQ4L/S2I/y3i2MYE8QeGqNeFqM/x6XxX cOYB+naIejafeB/ej/eqnoGnww/B4Qe+R9+P78d8YB7wffrdkW9N+Ra/JU4N fjblZ+hz0O+g10HfkngNvsuUz8G/ys8Sr6F9LXFz+m3Ef04/A/R76PvQ86HX q74P/4L66+C3gh8L/is9n/CEHab2mcwD7Tv43eCHg/8Ndi/iQrB/Jd5qUZ+B vmFR3+Bvib/zfBH8AHEUgkMgHgN2C+wY2C+CM6HfTPjHgKOIcgFywqJ8CIJr MuCahG8NOArH3oH/gnoN/KvAjyiuBN8vcjL0jTiV4yJuZVnEqwDXApwL8C3A D6m+6uANOF9yvjCurHFV+FmgT8Hfgjh3jHsj3s31k3NNcW7Eu2FfybkQnHgo /UHQ++AXkvivxXM/3BfxQw9HPFHdiCMCfgj2aJWIIxK92oCvQ9w+xvPxG34f +IFC9P+Yo8+b+A0s+g1CjKMgroJ4CvxE8BuF6C8y8VcQTxX9bxb9bxb9b0HW Efow/dnq53bkRhD5Sf0gxh0Rhwwx/og4Jf8f9BiPRHwyxLikifzk+RLPaZ7b 8bxW+cBzEP5WwZnQHpB58Owgk37ov4W9AT8i7I4Y/0M8EHFA7zzy7Dvor9Rn wc+O/0HPBfqpHPxAcHChqg9TfxD9lucs/G6Ih8P/5vgVFf9A+SlxTMP6OvY1 cZDw1wIPGfd7iPs9xP3OuAjiJFXgd4p4AvgRgStw4k1h5fk/Prtoz6YQHrvu lUV71oUOzQcffk7xtbRj4c+GPRtxXRZxXsB3meD0eL4IDpDnF84tnGM4vzAO jAvjQTxQ44SIU6ofPuJHLeJJgSOlnFMck3O+h4g3Bf4UuFP1qxjwrvEcMeCn gJuKOAmLuAngJYCzsYi7Ad7GZJwct+CHie8VvBbf69jFQfDJjJsIjpffJfhn A85QcNrEFQNvB/wdcHcxbmExjoH4hZ7v8JfSTwe/Hfx1EodinMix+zQuxrgh /GXwn8Fv5sRPiadRXE3kW4t8a5FvwceG/wfdwXMCl2MRpwN8jsm+hlxCHDHg XMV5ivMb5znOccEPEDciegjkP3Gyip8Vu5i42ajvWdT3LOp7xBMDXwxcscSd iXOIuDrg7ICvU38C8djib7Hobwnib4H/ReMjxPdGHJhFXBjwYNjPQfCQ6gcg Dln8IcQhA4ehuFzgYxRnC7yO4o0dfBf8+wFxXcRzBYdGnIPg1ojHELwi8XWC nyEezIk7B2e/WMSHhIgPCREfgrga44SMD/57XJ74RcVnwn6QfASTeAFxsILv NeBpBX9I3IgTjyMOW/NE5Fwg/8Q6aHVQv7J5Yc/qn5+DOq+FdRaOu+TwkwbM 1vsz66DeW93J983++aYVqKdbB/XtKp91yPRS47R9jv1z06rPLnxsJe5LYV5w pff/88XH/TPvRd2p98Y9/Ea3E5eTvq7DgwOH1Uadfd7/WQf1ndvsWDD86LHL w0cVOu9uFlCHujAb35fMZyzMzh7Rs+I1d8yx+m//9EWVEqhPWpitdfrQ/ueu d10x6JN5NnLQnxWeveAP0pHP+Md/St796Wd/8L3Je90wP6vs/K45n82YvYTj Rx2rMgvO79G37zLOZ+yP9ZjRPr6feb7Lb5sy8uQZmfEk89AL68T/N6WjDnK9 L1+5blbV8ewfdbbi93K94jxJfXTM/0aL88nxx3XgfYNx/ThOrKPwVzbmQeo4 Z4Pf5N7BbKx75FfS5b4Lrgv4E+MCHfyf3BdZds4t1VfV/3Vlqs7G8nqLhnaa jvZZ7Aftka8GvgKfS13sbOwL4ets5X/hE3P2hcdv5uxTc/a7Ofvdkxvm7Edz 9rXteafvjS9/8ZvW3Y3fm6mHWf3c5SPey8rQsY9XLJx929/1ZrG+MvIhv/j8 tWrdL5xNeodDiq2vds+GcLH0j/zGbweMX37agPlsD/p1M7+YNOrezD0DGM/S CX/c2/a939nPi03fHJo1b73wWaaeSYOxP548aB740mzRut/fv/2XDfK9rAuF +vDsB+/9vdqApwadMy+2z9yT+NS42qeOfmUZ+RP0eT1b7/y07zK2L9Zv2IfH lFtOPkP7Mw5b8MWI2suF/zL3J571Ucm6L125TPLdV4UaV6+peszjS1hHHPSm NzxUaeioJVInZFU4u9iH5WcekHsDjmh/Y8lHsrVuM9875pTC28fvUHoW5/Pw NsfVblpjjtZfCeeV61HhugPyB+PZV/H1X+vszMwz2v/dISe3aomNMv+Z+/6e HNy+2Ozn57E96O3+PvLIwZSHWXbbte0WPnI560KzfeGnI+599eZ1uH+H9bzb VPit8dQLeD8C259d2Pu4u8JmkUdmvUrccdQ/uzeRDj4seUSr2z/5IkMHH579 eNMvHjhrE37H/OwFrB/xRt3GrX5r8jvrW2P+8V3Y5zsPHlFmzxXruF/Q/p7H 3l57wekZPtd6sNh3aA/6D6882qpdvzls/8C0zc9cM3gDx4n2b/Xs/lKT5zaS DnmBcR47c8K8s3+bxbrg+K4Sv/Ts2mzcHLYftrv8+DOeW8d+UOf7ntxLTv6J 92bmhgb7jz2mYNUs0Qsy4wG908Q3fr93z2+knzHjtA75d24WOZ4r9zjksD3q 665YeMlXA7Imsj3qlJ730CV/FQzJwXzbqQf/M/igSVt4fqD9Dbc8dsmNt2fy 8Of3Wff+lkmLybfgh6GbDrpm9ZrM/XRYr8F7P/hy4sOZ+2FxjuLeA9wLcP7h j11Td9xS8hvuYU/eF5Tpp8gflRdu+PG6CWOXDJc69hl5Avmy9sxTP7wuO3NP TpufOnQvW7iG+4X64pFbTu3fKyMHUMcYda2PKDZ0Spthy9ge9PMrv/ry2w3z pf79gfN+6/y+i05Zyvdi/H9kvZvfunYe67hPPKrF6bsvX6V6huo55uhFPO9E j2L7O0uUK9X95nWsT43x37Tmn/nnvvqH1muzhxv8POTD7zN03KPSd9WwASXv /IP6B+Z5zv76s+p25X0T/C7UPZ429ISXzhk9gvMWxxvKNGtc+4rTfuH8PDfk 2gdWV8z0Azm5vveEN1pP1HFm2dJPC87Z/0FmPM+U+uqWXwrG47uD1KWxp595 o3rZY/4gPyfvRy4Mh7Y6usqJ48eFJe1r3dHp5d+tYqQnzxXOd+hb9ZvO465/ m/vuzoY/H1S95B9SxymLfDip0XOF9Uoul//PD2PzH73qlROXk3+e7NNz79CG mX7mXJTzwRknzJHvcvVz6kuiz1Mf39hgx8L/sxsqyDx3GfbLnc+cnZkftL+y 2klf/p/9UUHoc4aNv6jMDP3elJ5vyXkoDF/1Oq3Xrbt/lfUsDEcd+fG4uQfs AkdvVzsM+qrai9Dnud+gD0MvdfR2c/R2c+wCS56f1OdFX6U+n6pDFfV53A+r +jzrc4g+L3oy7Vxz7Fxz9H+9Tx12DfTk4OjJwdGTg6OXBtUnMZ5/128tqL6K 9qpXg676M8bj6NtB9Xa0Vz0fckj1QKyX6ldor3od9pnqh5gf1dtBV32M8yN6 +90jXvv77R2/h+T9Drxnj/R9LWcdXu0s3qeHetlhxsN9Trm+5WK2B31U7bH/ nHTpItw3FR5tkfX39TesZP9JvsgPDVrvPXPBgqWiR+dTD0c/vCe97pU/3nvl ErYv02t1yWeLZ8Z/0BFz//ruu99xT6ec1wtIP/mZQ7es2Dmf9G6HPFev9OkF 8j1zg+qfWHfVB8BftcaMPrbHuWtUHwiqD4Cu5z74zdGfg+rPSX0wpSeEf9cT soLaZeATtafAh2o3JevcZOysqF8FR7/i+ib1q6ygdl/UA4PqgUm9NaPXga56 YLTjpC4W7bigdhz6UT0t6p9B9c8NL8x7/cmXF5FfkvcpZfioU6+Kzc+7dDnp NWYMHThy6jx+L37rPhA7JnSJ/YCO9+t7sf7Hvzr109J9lsv651KvAL3nsQ8W HNphFter72NdT25ad4nwWT75Qe1KzJvqwxin2imL8T2RXrPdrZ/UHjKN7dV+ QX8NO1849YyPNwkfzA1qv6A97Jf5l1/TqFKTcWyvdiL2r9o16Ofhcefe/+DR vJeQf6f2I+hVX/5gduGwjN7F9ate/NwpB2XoUU8LqqeJnkB9GOuhdlbUP4Oj f+K8pv6J+c86ZOiUC+4pFH0sN6jdB7raj9E+DWqfRrsvqN2HeVB7HHS1u6Od GNROxPjVb4B+1D+QtA8yenWXhH2ZstMpN2DXRzs9qJ2O9mrXY7zqN1g787J3 vvxmMfcb9mFyn+aHhiOfer1Ntwwd8rnNzs9+3z5nkZyrq8L9P154RNVpC9gv 6Det+rNN9/Pms/0x/c6684qlq1Ly5tW5TzRt0GAl5zepP+eH816e1Oz+wxbz N8Zzfa35A8ZctzDsbHhJt6s/yYxHz0Hcc/dN4YBSK07LyE2cy/+8+s6vay5Y GO75aUX7j5/IJx3tsF6gPx71JXxXq5EDq3xWfm1Kz2A/Cf0zP3Q8+O073v8t 07/YtWHtNzXqfdJ/Jfcl7JmZwze82+yjjL8d+2HChSfUq04/eRb3yc+T5tfP b6V++Kxgpe4YW+rnlewX70H/yXPTwsJTTvngxWdWhhbFGnb+/f5s8pPcx0h6 /a4NW43fkaH/+eJJV435OtNe9/2ohU0WZeILGTl01RHj/65+WmY8+K6//qlZ fVb9tH53Z4nat9xdM8M3oEPfe070zT0f/v/+28w59mDUA3G+kY+iHiV2cxix 9c3u1/yq8YvcsHvXwEePG7cC97uGknfev+LSP6dyHpLtjd+Fcx/P90r+df/4 41ZyHlVvQr94j9xDzvbJdaHflONMjidL+CeX65Ncl1zyBd6r/gv4NXCugM+j H4P29ptFfhG2V78J7FT4WTBO2vkJ/w7em0U/Ed6L9vATYd7QP/w7ST064xfA PF1U5BeS78rFuUm/FdrjvUn/RcY/hf5Bj/4HjSviPCVd/TlJ/WhB6DfikPqD H8wXvSiP+wXtsD+wL6CfoX1Sr84VfS0/wB+E/8d4borjU3kH/QP00+N3gZ7U UxgvDj88XqR3qL6Bdaz74bp+s+9bIed1Tvjp3jVnT1qb0WOxXl+XLrGqWRmN h1q4ulLeiB0frBD91kLlw4/eWqaixluzQvP5V5c/cajGi7J47kvcJuwZ/8Jd p1+9gucL+Lbmo3c2O/ptHWdWuG7fw2cuGLEifLHgtRdvuGg2+6E9l9inueHv iuXK53TMfBf5JY4T7UDHPKjeVCrq80n/Q15Kn8f8d9vcuk3/pstDmb4zbxvz eNoOAx+p3Va72iWFU0+j35ryF9+PcWIekvbgXK5X8hxcwHlW/RrriPaY16T8 zOL3JdfXuG5YL91/72QXf3bkTSskHpcX/ry0Xatjxi5P8e8/UQ6DXnbL3WeV G5AZT/JcWEB+xryjf8w/xplcB967y/mW+3g5n3XiPhr9zEtff/TOSurbGJ/c 0xlunXBIw1dLDqEeNqTpsCHv7t2Qan/PvKYNxu/YyPlF++m/lR155DsbSN+x 44reTa5aJfp8xv4H/cfTJl38XOlRpGf99eq7p7ZfT/3m0XMuOe2LEcupb0Ou H3PQZS+euHp5iPeqcX6T5/Pa0H9Ks/M7jp/BeUL7ecWva7r/7mlsf0+9c487 6Mr1nEfcG7ry23kd3lq+geNHe4w/L9qP913f56cXjlrL/8c4oUeCvrfBA0d0 en826YdVGX/Z7fVWpdpTD4r6Z7JucT7tC8wL5gn9XPzaoLJtt68QOysrXFzi 6jF1L18udAsXf9y9Y9M7CrgOSfmyis960X+I3/g7tKffrdw1Fce23JSKQ6y/ u/7cjypuTtlXn52yce208ps4HvBB0r+e8fOCDv4BHXyXjDPy/uCw7P6i+MsV n89qWebLVZy/xYn9k6E3Ca+d+crYyewn/4e7vjr0AJ8vSugd+eGlh+zsKj02 83s/mF75ohtrrJT5y/hDk/8/NzSLdlTF2B/kRHI98sON0S7DPPP8OKZqh2mP zA+4Xxn0G8/pUWL+5b+Tny8++eS3B96+nH7IrPj7vsS+yfhz0R/6ScrX/HBz tOOafr0sr82wtRzvooS8y9Axn6An1yEnHJaw31bR/wP+x/uxr2GPqd1w4mMl K2+stprtQcd+k3vP2Q7vH3FT0T4FHftb2+M9Gr/QOKOjDwdH7w0O7i44OL3g 6KVcB43D4js0DojzSOOw2E8at8V7ND4b46TipzKxUzQ+ayn7o3zimYmfOnZK SOrztFP4PrFTgmNHBMeOYD9iR8h7aUcER08Ojp7M/sWOYP9Yd+AbcW6pXcr7 WSMd5xTOs/sSeqdRrqmekTwn8ik/Qcd5gvnE+YrzGfsadJzDOH+hT6jeBv0D cgD8Bj0D9KSel+mnb9RnQB8V9aCkPrcx1IjnJPpJ+uMy9hL+38EJpPY32mu8 +0xZZ6wvzkv1s+BcgfwHfUPiHM3YK58mztGM/t42xp/Az5DzNWP8KRnvXCD6 Rm74PsY3k/J8blgb41waD9P4GX4jjgY64m8L5bxD/4gbql8Pfj/1GyKemDzX F4R3EzixVfwuxL+SelduGBf9jYgXon+1pzdEv6z6W2m/xHhoUg/Jo59W46mz o58W/laNs2L88JvS7xX9mOpXwzrSjxv91fhe+E3Vrwr7CP5SzOdP0b+O9ojr aNwiiTPPYpxa7t9gfFnthGQcf63E5RaEiDcibmHhv76X+PZUXBB+b8T/kvIu L+UfRXwzqY8Z45gqf/8T431oj/ik+t/RHnFJxBeT5/cCxmVxvug4sa8RF1Z5 +niM2yb16SzGZxsk4qlZIj8ycgRxWLU7EfdE/B5xeB1n84gjUDraI16fjAvm pOQS6MBjtJT4HJ6I6+DvIee+E9zJkBiPQ5wJ7fvEeFO3iDvROM2bMU6j+h/i Ukm/Ua7wZy7tO42HAR9C3EaMm+H/Ee9U/Eoy3rkgdY4zvhz1asRTIScRV0Xc Tv3NHp4geT/9XOoboGM8k2NcNRmPzPi5T4nxVPXnoR+0R5yxdYyzJuNPGT8D 5NlTCbzrATsk2iv4LsTn4EfV9UJ8kv61iB9Kvm8u8UPo9+LEPsjc9wMcDuiM j3xWxG/fJfgwh/gl0I97twg/hfcC95PEXyhfZRFf5OQHSXvmEzE+ncQtZIUP YjwY80/9Ksatk/G8LMEbGefzqIhf0ThMEv+UiS85eA/i0ATvQbrgPUzjMVHO m4PfIF5OcCyWlAvE1RC/J7gajkdwI+bgf0ztzijnzcHP8Lsgv6PcNvU7RzwP 6YKrIZ5Q8i/kfmDmQViS/4j/MQdXY8lzjngz0gVvw3EKXo7rIjg3jkdwcZn3 JnGA7F/wdexfcIaWPJ+IDyRd8IecN8nvIF3yJojbFBwgxyP4PfYj+R2kSx4H 50fwORy/4HMseR4Q90i64Nz4XslPMQcHZQ4eSXCkxCOxveCm2F5wSubgpix5 jhI3Rbrgpix5vjJOR7rgtczBRwkemPEsUz0mxn0ED8w4EekSDyJd4kHmxAe5 jhInIl3ihqb2RoxLmvrjYhzfnDg+8yskjs/8B4njk68kz0vyQYl7574GHd/l xFW5jhJXlXgu8agm/ER56OBbTO2AaI+wH8GdmoNjYXuxvzmfgufhewXPw/US PI85uBq2FzyMOfgrc/BXHI/gcMzBWfF7BW9sak9EvJPIB+KNzcFTsb3ghEX+ EGfFecAz4p1IF7wT+UdwgHyv4NzYXvCHbC+4NZFjxCGTLrgy9iM4OnNweiIf iGMnXewDzoPgqUgXvBz7Efw/6YL/5zkleHvSBRctcpW4dHPw5+bgyb38Bb5X 8gjMwZlzPIJnMwcfbg4On/qh4OVEHhLvJPkgxJWl7tWNeDbqCYJnY76+4NA4 D3hvxCOZg0MTfZU4NNIFh2YOnkrOR+KdZDzEa5GvBAcl4yGOjvMj+D2eL4Lf E/2W+DdTewbjTK4X8XXm4EZEfyDOhN+F92M+HZyM6HXElbG94HPkvCMeRvQ3 4m3MwT+Yg3+gfit4D86n4DdIF7wE113wEubgdszBHVH+C07GHJyMnBfEF8l5 QXwRz2ux58zB1ZiDGxQ+J47RHByjrAvximLfEd9CvhU8j+wL4mdkXxDPw/aC k2F7wfOI3U28kNj7xL2InUj8j9hfxPOYEy82BxdhDq7DHLwE6RL3NwcHYk4c n/0I7sIc/Ik5eBJz8CTm4EnMwTOYE09nvqTE00mXuLkl/cDEG5gT32d7ictb cp2IlzAHn2AOPsEcfALnTXAI5uAWzMEpcfyCIyJd8Ejm4KAoTySPgP0IDor2 lOCgzMHDcD7Fj0q6+FFJF/yMOf5ec/y95vgbzfH3muN/Nsf/bI5/0hy/tzn+ dnP80ubEBcyJC7Aug/jnzfHPp+piaD8SLzAnLkA+ERyROXgkyYMm/sccfJE5 +CJz4tccv8TxSZd4vTnxbrYXfIL4ARh/5/kiOBO2lzg+9Q3BoYj+zHxz0iXP 3Rz8gzn4N3Pwb+bg38zBe0h9EOI6zMFXiF5B3I7o28w7MwdHRD1T8FGcT8ER mZPvRj1EcBde/QFz8Ejm4FQpxwSnSrrgVM3BW1rSTiPONiPnk3hac/CZlPOC YyRd8JPm4Fc5fsHrsh/BN5qDLzIHX2QOjsgc/I85eCGOR/Ci5uBzzImbmxNH Fv2HOATSJb5MuuAQzMGHiD7DuDbpEgc3B58j4yQOx0TPYzzIwTOI3CaeQfQl 4hlEfyCege0Fz0C9QvAA5uAWTPQwxukcfI7wP/Ezsr+In5HxE4dDO0twO+bg bTgewY2QLjgc+S7ikczBRYi9QLwT5aTk1dIel/xltpc8X3PylNle8nPZv+RT 066X/GjSJd9Z/OrM46Z9LXnc7Efytc3JnzUnX9gcHIvwP/EwYo8T32LJc5c4 GX6X5Gtz/JKvbU782pw4uJzLjNeTLvgBc3Ap5uBhzMHvmRN/53sFn5CqLwY/ sIOLMAcXYQ7uyxz8gzn4B3NwNebgOihXBRdnDl7IHFyQObg4c3Aj5uCOLGl3 Ea9oDj7THFylObhKc/B+5uA2zcEBmoPDNAc/aQ4uxRx8oDk4RnNwhqCb7kPU KYO8Ezwh9E0T/CH0fRO8oiXrOy4AnoDvxXzEOHfKf4b+QUd9mPi9ljwPGA+A n9KAwwQ9riPbx7g++0/WscH35hvyhtAP6JJnxPEAL4rxQy4Dj4T2oAOPF+US zhmNS5EOXDH6j/tazw+uC/BLoON7USczyh9zziHyA/BXkf+xrhp/JV1wy4jn oN4dcNQ4b9lP1OsQnyE97neMz4CjjucO3ws8M96L9oJ/Jl3w0pxn4JmjPy2z 7nF+MJ4ox1J02P+Co4Y+ZchLAp16Z8TZgh71JY078nshP6L/hN8F+qAEHy4w 4DPBP2gPPGeU52wPORrPR7b/d37LNeAwk/Ih1wS3iXipxkHZHvSo93A+gbdE PxgP8Jnx/IIepPFR6EG0w6N9xPVF+3j+cp8KLpF04A+jPkA6+on6DOxvvjfi lsT/kQt8Evcd6FFP475O6mHEqRnylMFnWo8z4j9SuA+JJxjwz6CjPeoJgz+i /mZ6XkV9z/T8iXov/RdS75R+JXwX3ot6jFIHUs+N2G+hSR0ei3V4FJ/H9QL+ PIlXyjHgtCXOacC3J+ffDHhvtIccA84c/YOOOhtJ+WAGnDzoODeBPwcd34N6 blLPlnyI+QHdqWer8TD4d1N02a/sJ9pZ5tS5tWS9I9b1Naeurzl1fTN+sdge +x50rDvkB+QG+BByVMcf8R6koz3GjzpXUv+TfJ7EGxaa1JWCX5/8j/6jHcd5 jn4SymHFnYGO+i2gRztd8T08X5Avg/kEXfJr2D/ycaI9DnwH+4/+CkvaY8Rp UZ4jbwj9R39OapzoH3kN0c/AceIcjP72KAfyaScn92m+Id82uU/zDXWWov+H +13HD7rkm3C/C17KUF9Z8E88p1CfJ/rZ2D/6if5DE/nE8wt05AtEfyDiZoxP Y1+hPfJ/sa9i/IrtY90DUz0xyT8bDXUPQI95eGyP8UDOIW8R741xOeJvor8V /lfFDcPfTHr0I1tSLproM6sMee5JvXGVIZ86+l0tKYdyRJ/JN8nfhL85c34V +bFF3rJugNAzuJvox2Z7fD/mA9+bXKe1XK8kf6zl+rL/yEf4Lsyj2HlsDzr4 CvOF92LeQMc6JOs55/N7MW+gR3875wHyKuZrqj5i0Y/N+cF7MU6pg2Ex/1Vx 9ojPsB+pR83xJ/WtQkvmQbNOtcht1s025GVLXW7GXdBPjNdIXI11nkQfZD1t wT+xHrji1VAvmuOE/I3xI5lP1sdmP9BLYp674rdQ54l0zLvqI5j35DmQhfiN 3C/C/ATSJR/ZYj4y+/80wU+Z/A20j3HP1DxjvZBHvCHBZ5l8D8g11X/Br+Bf 0GPclnJskZxHEadhqAuBv8f83JSsU8H3ok4Fxhfxxjzv0C/aS/0Ki/Fl2t3i 3zXUFcTviMsw1HNAe9rT0Y5D+4hLUZw3cCikRzwMvxd0nAeQM5K3A5wO6fj7 ZH/Ep7J/1F1J6lWZPA3ou4pDhZ6H9si/Ax3tIScjHoN0yNWknpdL/kQ/oEMf hp6d9LceOI+ifYXxQM+MuA7axegfdhfGI3lnbJ/c75n2Um/BYv2xVPuk/ss6 6dQDofdi/cQeQv0TEz0L+CfSYaeA/yJ+iv3gN/5f+QR0yWe0iMPheyM+jO+F 3Q29CnoNzl/wOfQIxRuiPfQf7BPFoWJ8oKPeEcaBcWE8Ys/Trhe/AP0AOHdg V6F+F9pDr5Z6X8Bp0s8g8S5DvaxknHyuJevI0Q9iqLuI/kFP1mnMytgdyTpm pKOOGc5ZjB91wBAPB5+jbhjGE/GhjL+WT+y3BYb6b4J/N6kXRz5H3bmIEwWO g/Gz5HhyDPUt0Q5/J3UsaRfovEUcN9vjN/5f+wEd85xcFzPU4Yx4bq5Lss4e /VaWrIeZBZx1qj3mDfXrkvmjWeQ30CFfUC8uyX8ZPEeXRD9Gfsb6YZyoy52U y7lcx+S9SDkm9RK5jqivmOzfyIdJP2wW+XaRyFnUx4v5YHIusB4g1x38mZy3 XJM6hBwn+D95ni0wqWfOdUFdRKwfxo91jDjjVD5rcj6zuL6goz3q+0lepvBP LvIbUnyL70vKsUy+Jurogp6c13wZp1EuQQ/WeqfQd+H3wXtiPU/Ka+fc1Hqe pvU85Xwk7kv8uik/BeiCe9c8ZpPzWu91S9lXjn81Zef8u92SqTcLO0frykLP xrmI+rGga/3b5Pxk6uXC3kA/GC/sH7QHXeKMmf2QjHOl/KGYZ8EPsH/gByTu yTis2tWIy0scQeP4pCNe78QlNW5L+eLESekXwPcKXssUlyVxB+5biWvI/mQc hDgHJ65hEgdR/IbGJc2JC6f8zjoe0ImvSJx3WYY6z8AhYn+iHjja472oNw45 Ajrqlif1lhz2n/QP5vCcTZ5nZqg3nqz7axxPxL+K/m0W8ZpCV/s/43f4dz9C Zp+iPfC98EeAjvfE+6VS9yYl9YQsQ911zA/aoX449jvoxP3GODH04mSdK+Z/ MJ4rODLGf5Pn3SqT+3RM4tjclzF/kPSYP2hJP2gGvwY67vGB/xr+crRnvCeO H/X5wb+xDoDY6czPoP885uHyHNDxQK4jHiS4S7YXnKPJfQfsB3GBpF6x1uS+ HtK/TdQ9472TJvdHcB2T9wTx/lbDvRWCvyYOAe1jvqrgqk3kWVpOIE4t98+K H4P4I9P7Z2NereA0eM+syX1Y7Ac4EPAJ/egx3pGMY+YzXiB5QhJP5H2IjCdC viI+o/ggfK/ey4n4v3PvJ78XeBrBWZB/Yn466XIfJelyf6XWX+A4wQ/AQwju Q/GhxFEIXjWDO4x0jB94oVi3Qvwn+Ywz0j6NdeMFB2OoPy/4JJP686irQX0V 7WOdCdr1aCf7m/1gXBhPUq/J43tBx/fhu0Tvt+R9VbwvmO8VO1Pi4LTTLFn3 jPcCM36N78Q4y8t3EdcR7Rfsa/CJ3oMMOnBoPH+j3gd+w3igJyb3O/NpiJuS e4rJP8nzfS1xcegf+loSJ8h8OOK+cF4m9aNcvadV4r/MSyBOQO5vNef+Vjkv Mv3LPV+UJ8A/4HsR/9TvSsYzF3h4JM6v4HYy8j2JCzIH72QOLkj1WHP0T1P9 U3BuaheAH1T/5NPB/6heinNH9WfgiMzx65rjBzbH/2yOH9gcv7c5/mdz/N7m +LFN7GJz7GKOx/GTq70Mf7LaTThPZX8SV6l2mSXrUKVwrebgMM3Bs5mDwzQH 76r2I+SV2qds7+DQZPzEhZqD9zMH/2YOXs4cHCDfK3hXc/CQ5uDrZPzE2ZqD nzTHz0/5JX5+0sV/bk48XfAWjKebE4fK4AmScQTSJW6ufh6ZjxR+z5y4mPp/ +NuJW5kT/zIHz2lJvARxtubgRc3BKXFcglOyZDyUOB/Og+Bk2F7wQubgkczB I2ncEfagxKeJUzIHh2wObkf4h7gpjXtBb+f5KjhAc/BOqgeY5FUpTtgcfJTE t4hDVn0adrTikICT5PhBR/6ag5MUPidOUnEAwJ3KOImHFNwP8ZAp/MHZwm+g ox6jg/syB9+lfrPUughOjHTBg5mDJzcnf8Gc/AVz8iDMwdWrnWaSh6L4fHPy HdRvkuofv5Ff4+SbqD/FJA+R70W+PH4LXpF8LLjHlHxFnTEH528OPo36ovjP zMGfmIMnob4n+DHSBa8ieiNxaKQLTkbOFeJbSBdckOjHxDvx/yUOwKfgl8zB K5qDVzQHr8j9JXhFc/CE5uAGzcEXmYNHMgc3aA7+0BzcoDm4RHPwh6QLDlPj KeQ3iYNQnklcht8l8RG299ZV4jXmxGvYXvzMpOs+ST4Z3xF+o/+ZfCtxN45f 4neUKxK/S8UfBI8tdhrxe/x7wcuZg+szB0+o/vPMev07blzsZOYvCJ8RJ0/+ FrwW2wteyxz8lfwmbor9C77LHFyZ6HXEuVE+C86N4xScmDk4GXNwbuxX8GDm 4HnMwduYgy8yB6dkDq7JHPySOfhA/r3g/Tg/gtMjXXCA5uB7+feC7zUHb2wO nlnOa+LAOR7B65qDm6IcF3wU+xE8Fd8reGbOr+CQ2Y/kiZiDx2Z7wSeLvkE8 c2Y8Sfw2xyP4ZNIFh2wOfikjX5N4LXNwTVw3wUdxngTvxP4F3yXzSnwX+xd8 F/eT4KZIF9yUJeUwcVMpfxnq7zm4FHNwKdI/cSap8wD1IR18SMoPJXUgFffC 9oJjEf8fcSyp8wx1AtFecCzm4LI4DsFZCf8SX8d5FLxWyh+anLcUHk/0U+IG U/6I8gl+S+ESzcFBmYODEr2eOCjSBQeV8mugHriDBzMHD2YO3ozzIngwc3Br 0p74NHPiIOKfJY6LdInjmBMnEjuV8RTSJQ7FdoJ/S/mFsU8d/Bvp4HPUt3Rw gKSjPepMOvE1jlPiXOboh15cL2U/ox8nHmdOHFD0N8ZtZRyMz6bWCf4KJ67n 6dXBwYEExy4Ijv4fHH3ew58ER2/3cB3B0f+DY++wf7FHSBd7xMPByvlCvKuH CzIHryv+IOJ5UnYU6h47+KKU/YZ6yA5+2BycMN8neOCU3YU61Q5+KWWfoN61 g0eSc4F4J3PwAObE2VN+WfgznfxfthdcgTm4AnPwJyl/FfxU+DvJWzcnP53y UPJ5+V7JOxZ5xfxrjkfykdle8pHNye82BxeRidMk8Q8pvyP8gQ5OyRx8FN8v +CUPx5Xym8LP7OC12F79jg5+KeX/g5/QwU2l7DDcj+DgpkSvI46IdI0PO/gW 9i/4FtIFh2NOnjvnTfA8pN/jxHkEx8V9LXgPtpf6AHy/1Adge6kDwPZSByCj 3yTrSJAu9SLYj+CySBdclugtxKexf8nrJ13y8eVJ/IacC8SBsL3gIthecBTc d4LvMgfXkdKPEX9xcF9sLzgQ4SPiDFN2NuIaDh6GclHwOSk/K+LdDk4mM59J 3A7bC26H7xV8YMqPDvyG2pO4z8vBKaX0iWQ8K4V3Mge3I3Y0cTvm4EvNwQea gy/legl+knTBJab89MBROHgkjl9wlebgJ9m/4DNNcEFRn8vVukakS9xZ751k e9Q1cnDgWo9I75E0vS9S4uPAz2l9JNaZE9wI2wtOQ+8FZv+oZyX4HOCrNI+V dMFT6T2VzBNG/RPB8+i9k+wfea8O3l7rVwT8ncTNQ3K8mfbAv0m8NdUedODr nHyZ1H0Icn8r7UCtn4N8B7mXlu8FvlFwMpwHwcMErf+m92AKToZ8IrgX3r8s cWfOj+BqUuMBHXV1nPwXrXOl929q/ovWv+L9m05+itYJ5L3GTr6M1s3TezzN ucdT8320Dh7v8RS8WcB8CI4OOEvN1+Y9qoKvY51FwemRLrg+vldwd9zXkq/9 v/LOmK8teWdidzPvTOvqcL0Ub+rUo2N7wf+wDqXgfHhPseiVuA+OeWzoB3WN BP/D/gXfwjqgmqeBekeCK0AdfpEDvP+CdIwHeSWC8wlOfSSOU+JtvJ9dcEqp eZM61Vo3DPf6aZ2KzH2ySZxAcOppsL3gFgL2jeAcyLeCW2B7wTmwvcTl2V7i +Nx3gn8IWk8G84X8FNDRHvWdBB/CeZY6HpyHZD/Mu2Q/en+s4G24L7R+k1Nf jveACy4F9WC1jiXqx2q9zeDU20Q9W63byXEKDirFt3oPe3J+MvebS3yU97ML vg71ybVeK+rlan1XynPBQZEueKpUe9Kjvif6OfMuxM7i/cWi/7MOvOjzrAMv dlZQ/Rx5F7DXxI5gPW2xN4NjbwbH3sT6qr1Juth3rCcv9rLeV2t6X63gGSTf g3iGADyD+NkkP5o4DeZHi/8tOP63cKbQ8V1yr7TpvdLin9f7ozN1DaI9LvYO +E3tqZDEpdP+Yp6h+DH03kbTexvFvg5J+5r2crhE+o9yNJUPq/c/il2s91yb 3nOtdUUhH8WO1vusyVca13Hu8TTn3k/T+zfFXxqSfEx/mt77aXpPqPhXU/1j /PCbif+Z/Yj/mfe3JuNymXs8xe/N+1vRXu+rEn8g6eJvZB6g+OX0HgRz7k0w vddA/H4hKUfo3+b9BeIXTa2L1v+Xeq08l8UfyP0u/na9H8Gc+xdM701Y+u/5 0RoXoz7j1EPQ+BrbO3USNI4WNI4GfShZj454Ts6D4FQlv5u4Tf69k4+vdYxp Vzr1Abx6Gvwu9OPE74LMH/lW/YR6H734D+W8y9yLlbzvXu+XyPi10B7+Q/F3 sb34tUgXfCDnX/CBrDuQ3E+Z+6GwXnpPluB19b4t9pPE/RLHyPmVuB7un+X/ Y71Qx0DwJ3LvFr8D97Tyu8EfyXovjFdm7k9Lyifcw65yJSTrTWXqwqNek+Cj cA+prDPvf1d5hns/Zfy851frRci8ZeLoqOcg+kjQOldyXyf1Gnwv6tUIzgf3 h7I95gH1iJLryPtDKXehV8OuERwa7mnl+OXeWM6b3A/L9nKfLN8b8T6kC+6F 9pTgXoLWL4o4Dr5XcC/sX/AAwrcZenJdiONK8Sf4Afws+AHul2Q8JDc4daiE zzP3Wnf693pNAfWaBMfCeUA/cT44D4J/4D4VnAPusdU6ZpwHwSGk5hNyAPtI 4sW0NyUuTPtU4vK0ZyUuTP+JxK9pF0v8Gvd6yzzzXnvS9V4XwfPQTyVxGfq1 JI5De1niNUH8baqfBEc/CY7dpHXOg9Y5F32JdNG7tO5Hyq+C70K9UIm/B9QP ERwC51PwHsGpz8D2Eq9PzRvG6dQ5SfkrIl6afkK0x/hRvyWpP/AeZNo3GD/q tQq+hX4MwavQLyE4GdIxTtzfq3S2j34MwfOzveDkcS+w1pXFvaVan5bt4beR +5fFn8n7mrXeLPe14N65voLzZ/+C26eeKbh93B+tdUGx/zlOufdZ682yveRT 4P5lrUObai/3MmudbfozMR65H5N0uV9S64STLrj9VP9yz6bWdac9JXh+3LPJ fmJdZ7aX/GvOg+R/UV5J3hbur2R8Cu1Rt1zywni/uuTl8b2SX8Y4puRhcR4k Dwv3LGudec6n5GdxPJIvxnWUOticN8k74zpKHhnnTfLQOT+St87xYL3kvmnS 5b5prcfL+ZQ8F7aXfJbQSfqXe6u1jiX1E8F7Uz8R/Db1T8GnUF8VfDX7EZx2 0LqgmHfow0l9LIt6teBZqFcLPpz2heCZeV4k/SF5QevwoH/o+aBjHlB3VHDI 1JMlP4L6mOTdkE8k/yWIXky5lJe4t4X5L6n4i9x7q3WPud8lf4ftJc8oJfdi XIv7COdvjNuk4jVy7636F4NTl4nrIrjuoPWdEPcHHe+Ve4S9faR5oMHJA6Ve 7uxTc+Sn5p3R/+acj1pPg3RHzpgjZ7RuRnDqZrB/Ry5pvp74BVLnuOYbBiff EHqa5jOqfq96l+ZXQh/QPHF+l6OnaR0Ptnf2qebH8d5nZx9p3h/9As6+1rw/ tnfkgzlywBw5YM65YI5+ovUQOP+Ofsh+JF6v+aHkB0dvZD+ix5Iueq/WQ+D6 OvFrzUOnXeHoA5qHrvfUq36idQAQ39d6AuIPSuGCNG+d6+Lo7ZqvCjtC84IZ H3TsFPKP2GVa/yFo/QfQUc/BsU+1/gn7d/QQxcMGzS+T89ec81rip/SHWPLc p/9H8yJDMi8y5UciXfxFltwf9BeZ4y9iP+Iv0rxLnseOviR06jOcB/GzkS5+ Ns3fhJ/NHH1M8/Wgj5nj9xN/O/11Qqd/TPN3QjL/JeXv1bxXrq/jz9Q8APix NY+P6+L4SyXOS78u6eJ35XjEj6r53UHzu0XP0Tw+6L2aP0754+hplLdiF5Mu drHmX6u/W/V8zQ+FfaF5nbAXNH+T8+bYNR6eWescBqfOIds7eEKt+0e6g5vV +lSiB6fwt1pfkeNx8MNaP5DnvoNP1vqBQesHoj3qlTk4TK2LSD508Jxa30n9 j4pTIl3wTqJvECeseXjEBTm4Lzm/iJvSOlrEBTn4QK03QVyKg7MiXfDPWh8H eGmte5biH/SPeoMO7l3rJQanXiLbO3h7rUcXnHp0vBfeyQvQepXEOTi4bq1b KHGOFN5b62eS/518Aa1zyPvrHXy41m+kHeTgeLnuguMlXXC8qfrmqMcl+hHi Alr/Ss6FFG5T61+xfXI/Emer9fSAs9V6g6l9IThh2oOC/yQd/aA+oePP1HpW walnRTvO8X9qfTCeX44/UOu5aZyM40ceq4P/1Hpx5CsHF6r16ILWowOfo36a g1PVOofE1yXtL+Kita5jan0FT07+RD/Iu3fwoprvH1g34N/9P9T3JA4Oualx ItKxjkl9LBUfJ65D4vjsR+L4grOiX5F0iVdaUn7TD0a6+LVEj2J8TevPUN92 8APUqwUnQLrgOkQPJx5DcLZzxb5I4Ssk/534E86n4C7YXvAVWndF8xk0/iv2 F+PUmq9HfnbixSbyODj5yKn2EtfW/Oug+dcSZydd4uCa9614BY2/a/444u+a f83xO3Fnze8Omt8tcWTNc+c4nXi01iWgfHPis1p/QOMHihfycFbkW8FNyX4n /ortBTel9SJId3AdWkdC2q9l/YecWy99sdv9C+lfhx8v0q3rX5f/+MKz8Nuu Zburfi7e+/gRBYibCd5gbcDfab91499pnE7GY436h0d3HWhf9qjjX33qh1nZ Javc+9ebB+if3HzJlhIzttVp3/PBKgsP/N2dY8aXycqMk/qajJPfjXE638vx xHFyPZ1+zGnPcWBc/2PezJkfGzxx3qCDD1oX7l1/9uYR9Ydk923V/7iXDoyz CF+9rw7ev3vgxuu6HKDLOLV/0/5l3gR/y/Hrumv/Om9c34ovdpr+592TbPEx rzT4p0lBqFj1ftudtdiq7Gs6/ZhJU0KrAQ2fufrCLQG/sx/9sHjlxqtD4ZZX qzb9ZiGehqf8vx06dliPLt0LIl8Ms849x12696i8sCuv4vMfV9poBX/8XX/G kEV2RE6D4Q/2nxH56e3Qcd5VZZ/rvDZ80n3j6YcfucgerffqKe3/LAh4dmjy 4v5xk3JCHLfF78D4w5nFj986c+j0sHzNvpc6bNoS3s1Z+Um1myfawBd+zanc ZGYYP6nN7mm9C8MFFS5Z0mzIWB1niOO0Ca899Fz907G+j4bBQxtXf632Qtuz 48XqH11cYIcN6XHeZxdMDw/sbf5atYcX22Ejuu87LO8b63biX+GHNwqsc+0b B95zap5d9FeTm9rM+Dq80aLTMZe/vCX8vmzXGQVHTbPqaw5/v0vNApvf7/Fe XWqutzp733uvROWfwsiaBx2z/o3V1nznw8XXv7HO+lR7YPZXl44P5xbeV/HL vzaFagd3eu+abYtC7bP7d3hjzQRdR8M69pv45ppKM4fZcX+PWDTxmS22ouGW BqXXTrUsK7zxp5O3hND/ndXtqi4J7/zZvNPwX37AOltcd/CB7Zm376ILv94Q yl3zcr/7bl4aTsoa+dakvtNCnE+L82mYz9i/xf4t9m9x/BbHb3H8hvnFfMd5 Dvh+zAfmIfIB+MIiP4D/TPlT1svieoV3+xfNe2Fch8a7iua/aY+Z31VdVMDn h63uqHdlnykW+dOUPyM/h8jPIfIz3xffDz4JcT7tf8wn+DNg/0Q+BX+GyFcm fBXu33ZOuVuPybFNeY9UaFt7S7hl4W+Pff/nFPAN1gH8g3FwneN4LH4/n3Ee sE6m+yKOg/wOPsf3YP+BTw6Z1brij92XBH3ie7SfCtuK9nOlS4r2d68PivY1 5AjWAfIEfKnvjfNicZ4wP/bLKUua7B2WZ9WKfbrhoHO2hLeOznmkRLWh4ZGW H+Vtn5hv85dnV3ql3Kbw18bjep749LhQr8mF5S7oVmDrju9zwgXd1tuWWSXn /F73G3P2L+jg6wB+jv1afA/6t9h/iP2H2L/KT/Kb9GMYZ1wn0/01o9LBDdqf u8U6Pjl89fKbl9i19ac/ubPH92Fc0fdbnzL/nY9w6vH/nQd+J74b3+vsU3sm 9ov31Ij9ixygHHPOkTCl1Mhud3y62AYdXrVx46FbQvsmm/8cseErjAfrwPnB /GK+ZZ6DzvP5Rf3a5OP++57Q4e7/9o9zCPse+x3zFuK8hThvyoc814R/uC5r J4ec5l8v4vOE53r82L/pMpwjIZ4jIZ4jlPuyf3U/GtYX8kX2dbgiyn2cA69H +e/sa5UzBjkj8pZyd/vjN0zfm19gZT+7cvrB5deEXke/OXnXCzmenDc5x3l+ ifyk3BY+4XsHDS7/Z4kF+Vbv1I8HVWpumd/JfUo+wf+/cMvBLTc2Gsff4A/Z 7+Bnrn+N5LoHkT+Qb6mn7EeuF/QG6BHQH6DfiJ4W5Du97yHdmTd7IJ73F0Y9 D0/8vb6n3chFfzc7c2aYMu2EBYNL5aee+v/4O51np39dPz6d8z1AD5Nz1hz9 BPxPPSXyv8n5SP0E71G5FPVMi3qmRT0zRL63uA/A/0Hkp8orU3nlnF8B+lzU 70LU61RvRD96vhvOd9E/Q9Q/vfPa0/8xnqDjiettuo5xfVP0yIdB+VDa8+9q nTrmp/L/LLZfzz16wrJiSwOesi7U/0UfxjiVT6gnCD+a8HFqPI4cNtmXbB/1 GYv6jEV9RtedfCt6I9dR9C7KZ+fcT32PyAddZ88O4n5TOyjufxO5AH4Lym+O XpSxS8W+c+SnRX0+RH0+RH3eRM8n3dETPDuR3yHf5/GJ6oHc19gnwodB7AuD vgE9AHoB9AEdB57OfknJfTxFntBO9OSxzAPlPOwTtaMdftZzh8+oD/EZ9SJP Ttr4on1vlxXJg4DfMc+zDvBQ6z5Zfkm3K5DnWlgHcad7pl49f//xk1C3p843 18y/77o2vDckxN/4/2z4Z4DHiv1lx/4N/V8c4yqzBt5V/+wNv8R44yq2j3SJ rxdmj+50fP82taYTDw76rc17nD7m2xkcJ/yn1VuddcHg16eiXR34Q9EP6PAH az8yP+bMD/2o8AO/O/b5D54+YTz9T5iPJv1Wz+9+YJ7RfvdJE2pVviWD/0f7 4fOGlb6hzSr6qZz59+YzVSdk0gMPLh8+bhz9ahjncR3+Gl3w/q+M4z0/6Y/v tnXkPeLENZTd36/aqfsydImLhmJf7Pn9hz5jFS8TRrzVYc3uD34JX5z4ZqXO ZxGHy+/Fe+FvP+3dWn/lvDZBcZ3h9Q2X5rZtP5H9g37Z88/e8eaGiYq/Dhsv 79bikBMmkQ7+WjX5yU7nH+C3a85vfHKPMxZxnMAXqN/+pVoD59+x+xvSlyz9 fs4Jh2TaD970asVG7xBPkeoH9JY9N9ba+NSw8JzEEfr1fq1164dGpfLFME6N szxy6tIWFx86UvG/4c8nulf4eeuYVP7gnp7la1a6bWgqP/G0JoNK/Hr5COIF 0M+FDet0K7Mym+1/2HLH+Cu+Ws71QvsXml4bSg5nfnW48vUXZj+4bx7jyBX+ lU/mhh8v3nrBS59PS+UL9z33qA2vlJ4uft8FYeo58+zFLVO4XxAfvLz1CzUu fWBq0Djalzvuu+uDl2dIHbLcMHPE311/+TZDx3uvWd6t1CMH5AD4EHHbXvfW 3fVU3lTS8d7lb/Xv9MW5U4Q/c8NhV2V171pqBvFu4MORu779/IT/DGcc9ZzX Zx4+u0WGTxQX2rvj0d2fzv4ulce3q91Bg1rV6KN1JkJh/T5fDTkg3xA3Q32P tjuPrL1q48NcR/jJa9184qe3/Poe+eSz8T2OnnDBOp0X6zI25/QPD1sv+QuZ ejtPliy/58d3vyA/DNn+5NVlJmTatz7njS1Vq80W3D7r3pE+9f4Fyzcf/R3x 5u+vmXLxA3XWsD3oaF/n8ofXvb3rB8Vxhyc2XlVm39bRHA/20duH/HPsqw+N Zz9o/84Vrx77d4vMPgLfHlnp9pX1NmbyW/HeFhdMXfbp1P6c5zfth52/tlid +q6jXv+kefP7C7i+zvklOLnC7HhOmXN+mXN+mXN+KU4uvF7msi/+2DJZ8k1z KT+x3zDeQad1OeXT1yYhXwn5waFxuyuXXnrfBOz3oPsd7fB3aI/+8f4z4rkj eF+d/3Btw3KnHNmd93bzd/L7MvlVoEN+ot/keI10vB/vxfgwXowzuZ6Zcw3r r+c4/h7PZ1flnnrdiAkcJ+Yf/Jm3/oXFO2fOo14j+dRsn/N6t27zJk8hfdew vzu8W2NOqj2etT4pNuOr2hk6xoP1xd8LTpLvAx3vxfgwXm2P+QNfJfGOmf0o uGGuVxKXtoB8G/WH4OgPQfUHxJX/Xf/JDXp+EX8p+o/yV1IPydRrgB6Fv1N9 CfPonNfBOd+Dnr/J9c2c44sS+zdz7gsuhOe75B9THoKfVY+V80rWl3m91AOT /JiRz1rHB+c16KoPTG3z5R+HjSzge6nnXbHrw8fKreb6Js+vVdzfa4vOzQwO I7Yvdev4TqdMvIv0q65a1Cyr/Eo57zLzDb1F68ZCD0nGkzN6S5J/MnpCsr5S bqid1EOC6iEVEnpDBo+X1DvzQ5ci/YHnn+gVtMton237Ye7KKp+xvegn1GNE D2E/0Kt3NyqaT+gNmDfMJ/QMzJvE6zPyqkg/oR6D/Pyoz2gdN+hXHP+0yC9q d1WM/EI8QFxvfJfqhVg3rLvWw8X61hC5mdQbM/WvoTeC/tXpM85Yfv3UlPxE /0l9Mpf8clHkk2T73PB3td++OuL8adJv5v2Cs+d4kvpJFved4PhF385le+xf 2EVJ/SIjR9Bf+4R8y9TRgLzSuiSwm9A+2m3s39kX/A3cIOwsh3/43gFF9lzq vGc91mgPQs9L8ktW0HoZ0G9Bj3qx6I2ZehCQw1q/AHqv5KdR/jtyIDjyUOvi 8FzQOhc4p5LnZYZPcT4l9TgLjpwJjhwOjjwJjlwKjnwLjrwKHyTsilyR42v5 XU9Fu8aRSwF6/0LZH1gv8PPTCXshJccC7CW8F/IH/O34JUgXv0RQvwTGrXYW xqd2TVL/y9iJGLfalck8hIwfQ+pDc/9GP0lQPwn2g2MnBrWnsH5qD2Kcapcl 9cmM3Yp+1N5UvQ1P6IVJfdNknYz6T1K+5VD/wfdDn8V+2ZmwH7JI1/nqFfUx qW9H/VPrm8xJ6L2ZutjQY7FfcL6cEfVnzL/6AcA/6jdw/MApPobdhHVRv4HK ceiZjj+Z4wcd/mrHrtG8HdhHluQT2h1sL3aTOXYQ24tdxv7FnjLH7jbHfmQ/ YmeZY3ebY1dqHiDH4/gNTOV+1E+kH+pL5ugt5uhL0j/1GfH/Uz/RPEPoJ6l7 C6KeZo7epXmA0IuIexW/vTn2EduL357txT8AHLXaU8T5ir1Jutib5vhDqA+L P4R+LvGHyD3k9J9znOL34HjE7jPH/rWk3KSdbo6dzvGI394cv5M5/iXJU6V/ iesu/iXhf/olhD/pxzDHn2ZJOUY/jzn+NK6L+KPM8UfJ/NM+5TyL/cj2Yp+y vdgF5tin5tjp5tjFws+0f82xI8yxX8gP4rcnXfzhqXrB6B/tJS5gjn5rjn6b ioex3sW/6wnm6Anm6Anm6OdsL/aCOXpFqm5d1OfNscvYv9gX5ugnqfhZUj6k 9A1z9BZz9JBUvbaoz6TibVEvMscuM0dv13wb2KGpuodRfzZHz0/Vm4t6qTl2 H+MoYneYY6dwPsWeTdXxjPq2OfasOXY650HsXNLF7qZcFX8m5af4M9le/JmU q+KfJF38tNS7xG8peh39oubYF2wv9hHpYnfwvWJ3kC52BOdB/LHm+LEph8X/ TLr4Uc2xp8yxE82xE0XvpX3EeRB70Bz7TvY79XZz7EfOj9ih5thx5tjF5tih JnF56jGapwv7VOK2Br+QxOsNdi5+R79Eqv84z6rn8b3wV0h83+D/FzyAIT4i cV5z4rymcV7kGYu9Tzr8A4KLSH0X6PA/CN7A4MeL50UqvzDqxzyHRa/F+wx2 LvA3aA/8jNS1sOMScbrMfTXJeA3vSzLYlfKdBvsUeBq8F/Mfz32pc5/BRWD+ 4WeQeLp8N+Pmqn9zPuG/Ah3tgG+ROD7/X/AYnH+JdxvinoL3SLXHeOBvlHi6 aTwd6wP/Ib4XdPgbQY9ynvqi4IU4Hon7WzLun6nTIHEo6GWm+pqsJ8cDfkG8 UvAMltSDiFtI0dFe/FTQR9he8APcd5AjWscI34l1FL8uxy9+YPaD/Yv2UU9g /xgHxiX+bdLFv43zVr6L9RPIP8l5zDXxb5MOvpK6HyZxAeaFSxyBdIk74Dzh d1VIyPHMvWrYtxg/9hf2LfglaYdk7ndPymHWpTH4mSHHwReQ51I3w+BPxj4H He8FP6EfzP8HCb7MJT2539J1yECXuAD0F+5H7Kskji9dzwx+yOR65XD/JuWw cf9C7iEv/IwEPjBTVwz7VOvAJeVPpn6GnuOYT8h5yMGkvCRuhHTIT9CTcjeD f0MdOAfPZhJHZv8OXs6ScbrM/eTJOCPxbIa45MLEOuVa7UQ8MXMvWTL+mLn3 DPE+4X/6b2W/pPKy1d6R/UI9c1GSjzk/+H6MS+KV3A/Axem+Bd4vKdeM8yz7 QeaBdf84D5hfzDfmGe0x34jbgg/QP/gh+j343RIX5roLDgf+3VR7PBEXRnvM A/CQSb1lgQFvI/KB/KF1w2CPyz6l/S77lH4wkSe0g0SepOrEqt9A9D31M/C9 sCtFHnIfynmk9rup/a56g/h5OB7x8/C7YMfJeUd7VvRn9efwfILfw9GTzdEb U+cc7DU5X7h/5ZyiHefo8yn7AX4hR6+GH5t8iPkTXL0BjyT4eZG3mTqO0POT 92cuMOD6kvU5Fxhweqi7gv0tOEbuR+DopC4r35v8nlzuL8Hnm4PPN8XnYz0d nLwpTh7rALsmxqU4fsENZvSWJG7Q8HfaHt8luETOJ+ZH5BrPKcgvyCfxR1tS LuZw/jHfWEesE9YN64Xxob2uC/juf9ihul/Qj+5T+/d9SvtU5RXWyxy7XtaJ dj3nXexNlUvmyCVTuST2rzn6ocpzU3ku+p6eCyZ+XdUnVf7bv8t/6qUqPy3p D0zpmebYcfx7sddIF/uOckr8HpbcR7SXzbH72F7sPvYvfhu2F7+NOfa+6K+0 90kXe5/fK3a950/T+lewy8zxp5njT+Nv8aeRLn4zc/xsWlcf/hOtxwX7l/Ms /jc5h+h/M8c/pnqsJfXYlN1njr3JcxxP4DMdu94c+1H1HFM9R+x31XPY3rEr zfEPyL5bIPsi5QfQ+pAm8RT1D1jEbbI/6BGs6x7pwKOCHvGfoqfkW8SLZvxv sV0r0afwPqyD4Ic5LrSPuGWul/Yjfhtz7E22E3uTdLE3zfHnaN1UE7+92sVa 1xT+E7YXe9kcu9sc/xXnTfxRpIt/xrMH+T6xB1P+EcSFHXvQHDvOHDtO+J72 Y+q8RLzbsfvMsfvkSbue/Ys9yPZi73P/iJ0o+gPtPq1vDzuX/Yj9aI4+KfND /VDmh/Yp24ueKecp9VL+Fj0zNY+YN0fPZHvRM0X+U283R84ERz4ER557fh5z /DOif9E/Q7r4l1J6CvaL40fSeqRcd8cPz3GIP5908edrPjLsHf6/2Dui/9He Semh0J+duADp4v/n/IhdmdI7oOc79qYl15FxB75H9XEnPiL7gnEHc+wathe7 xhz7iHwg9o459q85dm5KfsNecOx3c+xuc+xrvd/EBBeneeu6jsTjOXnruo4a fyfeAfwj60t/jvAV+xf+FPxeKm9d55N+Eidf3svrVzsxOHYi4/vCb/TLyb4L yX2XyvtWOUA/m9gR9Gs5fkWNO2g+gvoJNQ6rOG31H2p8QXHa6pfTOFTQOJT4 ISUekcFXO/5SjWsEJ67BfEnHH6jxa+KrHX876eJv1zgUcf6Ov1HGmcFpO/UQ 1I5jPprYfWzv1AfQcy0kz7VU3r3am8SHOPUZ1O4j/lPsROKanDoS6h8g/sep I6F2a3DsVuJ5RE8Ijp5AvKXoh4oL5TxDDxG9NKjeiPaqfyqOVPTPVD9on8SZ p+o/pOqlQz9x6gyoH4Z4MPHz0M8vfpjUOipOSfwwxI859QHUv0f/ufiXUuNX 3LL4bXguOPU3VN8gTk/vEcP+FXuTefFyXjOvX+ym4MS/mLcodgHzysUuYD6j 6BU8L8QO1Xx/03x/0WeC+u0131/0Iubvix1BXKrYC8xbF/tF8/HNyd8nfhnx TbHLmHcpdmhw4pjMJxU7mnmdYp8yv1XjkZLHaprHKvpqcPzwWneC9DMS8Q7q q1x3sfu4jo480bgqx+nIMY2rsr0jbzWewvbizyEfip+E+ZV6j4ziVdAe+Bnx szF/VvwtkGOK/2H+oPhb2F7v2QHeRu9PUfwPxgO8ivgJ2b8TV1W8CulOfDaI fzKDT0/6V/le8R9q3QDKScd+Zx6r+AGC+gG0noD4b5mfK/7J1H3Bms8u/jrm XYrfL7XuOBeAExM/J/sXv6Xm/ancUP8b9TRHnqjfTPJWUnJG/XJB/XKaP+LI PfW383x31kX98KyT4PCJ+oUy9RD+/dxU+5p5f855pHY68wGdc1z9V9SvnPNL /WxB/Wyaz+icy+of1rwzPZfVT0h90tEf1F/H8Th6i/obmVfoyGf1Y1NfcuSw xjuo5zvyXOMm5ENHrqbuz0J8xJF76v9P8bnmiTjyxBy5of589u+cL+rPZ3vn 3FS/LveFo1eoHyzF/5rf5+gbFs5fsPrYEQsZr4PcK/r+/XVAP+rx+kPqtBws fqO14YyFR//T5alvU3VNcl4674pHDrTH+1e++1vIe3UD2+HfyuZ5g9osztCd 98bv3V/nsMGrX3xg8YYU7gZPu67Bt21//S2gPejj2tW+uHLDmRwP/v7ygrnl LzlA13GV3n9oreFLZ4Y4bspV+U7ib+I8WPwe0/50fuP8YP7hn0iNQ+ZT8OCc f45P51nWy6Q91kXWPdV/ED75X/3z7/F9ul4y/6n5ivMvdr2FuL6pPAr047QP kW/AF9nkvzhfzvpGft+fDf5P0rnuoVfdrNt+O2hcGNap5pd/112U3Wryqx+W a5jinxReGvOHdQEd863zIt8bpP3/4s/g8KG3r835Xmu83O6adoBe5/vxdVuM +Du72xH7Dt5392DOu85/jzcmLTvzwPxct/vR/LtsT/bKR1qWqcL1Su1Trx9d X+x3c+YzNC3bdf2dpy20MlfubXLBMevs2y7DD614V3O74v5zR847f6k1W7kt 97ZBkwKeTvvQ9NlHBj/Vboldd0yxSxv2HRwq/vjQ2hPOzQkLjm29o/2Qr23J 6oo/l3llTbhk3seX5VQaHq79Kq9T9RK/2bHbTzpx2C/rwozJ78x9+KcPw6Xt tr70bofF1ur7BlWmXl5gO6qPW9W775doZ/Hv0N7K3d1/Sxjwq0044udbDm7c y3q3u/Uzu3NmWJrbKbfrm+MNz9/3PPtLl8d/Q/8h9h9i/wF/j/7Qz7EtWhwx OGey1Zw2Y3Tpm9eEsw5acfvX7X/EPIQ4DwHzMHVfVon+zabbzs1dls0avNQ2 zaj3couBE8PZ1Tu+vOWjCaHsmG6da61ZHXbf/v3dFWaOtD+63j25T9t8Kzm+ 9bD7318YWrR7f/9jQ36xR8o1+mDF5An2zp9fXTLyz3W24elGBUdf+hm/X+bN vv7wg6HlVg8L5z9/dfeXn1sT8PvirrPemFEw1Na+smX9E88ssSM+faDdKUfn 6Dpi/HhviO8N8b2h8Y6pJ73915Swpm2z/PvrrAmvHn1N5/LbhoaLr7vtvonT X7c7dn28okqH1Xbqk8XOffXBsSHygUW+AD9gXbkOmP+993wwoVH58VbE/2PC 8DYtp36f/1t4K46jTRzXjDieSLdIt0gn34CPwD+z63U+aM3liwKeLw4eeNOM DuMx/0Hn31lfjM/ieDFOe2xMs6blx061YU9v71B4Zl6oW6rPxflXTw4tCx9r V37bBLttSbfy+UfNCHhi/2Ad0D/eh/eDr4rk5sdW8s01Lb9YMCPgOb1vsdt6 Vx1qW3a83rLs8Lww+pgZJS5pnZPiAzzjPrS4L7EfDeuKdcb6Rr63uA/A/2hv sb3F9hb5IUR+CJEfLI4HfMqnw4fYRyHuoxD3kcm8cV3ivFqcb8yzHXHBvo9r P7PMrnxpZPN7J6wObx+85/0L230EeQY5x9+RD8gXkR/ANyb8E+oW9WuHF70n fFDUv13W+eec1tcttO/y8upPz1trP55c/5Yryz6BdbO4nvwt/Ew+73rT5ZNv f3+y3dp7wtjzb8gz/Hb4xGSchnEu+f6jkq2mfm+9n/3t2sqj8uzwsjctafpE jsoZ7HfKZZW38XuDfu+FpSqc3vjb1VZ03o0OeFbJq7/98lunp57vrRtcr/C4 UWHxfXuf3dVjRuqp/++sexD5aVivaUv3LW8wdJqVbPNVt8G3FYSnl2Ud88l9 I3Ae4HwI8VxQvuK5FuVniPIzRPmp80x5Etc9xHUPcd0hHyEvuS9wHuB8wLkQ 5yn1jPOK+cY84/wL8fwK8fzCeYbzjfQ4rxbn2f2NZ5QvFuUN5AzkHeQf5J79 v7quNKqKKwmjIC4xTkQStwRRiGKYKCJuMemLcRIJUYkLio4Y4qhj3BMHR40Y xyGo4K5xZXwEHRSjookConQJIoqIC5uIIosoj0V4gCiI2ulzXtV955BTv97p 6tu1flV1b997Xh9H3HugP469Y8Z/i7yQ/qF+Sf2T+ib6B9A/gP6RdYHqBNUH 6kPUl6gfmRrXfTnY5QHQ79/H9rG/ERHP5QvXL4iP/EU+VDdlXaR62KI+AOYL 1eM/1UXq09S3qV9j3gusA/Ka8pnym/IacQ+YB4R/0bKO0C8+T/wE8pG4pzwg /LeYvwHN31rq10JPqkOSf4t5neRD8ab4U9zN89oaJbrk8x8Mw02glLsubrem CuffNYpDD/tVhngTXJgy7aehYZWSvib4w+0TfWohu0xdPzSsQtLrzr/YOvFm LUT1H5NQHlUucBzdV3E8oDySr6JcQHlyPMoF5CvpyF/+L7ep2mnzEZvnMOPg xQ/jhmXL701MEUte+2Y/gwGrG1zihuVKezuOOJE645sGWOU/6o6mFcnxfumF bUaeegrtdp6L2ObwUNLdPJrtO3VoAEfnXoe2OZQIvJb/N450QL7SLuQPyFeO R/6AesvxqL+0K9Zt+3W3gc/xvedtgdeSj/l9021AOyUd7YV1K/c2Dmsqkvy/ vH7nUkXfOrHQ6P5sWJPlf94W2EwavfRVrRg7cnmmppVI+rbb28LGZdSK462W GnZ9L+Os5h78q+3MXiaRnG2fomlGSd9385pX1I8mERHyg1fM6jLJ5+oUu55e RSYR17XYO0afRxG9yq/AZ3/PWuHQ/dcMTSuV9BB/4+5/L5DxVtAOIP0pjmgH kP5ERzuA9Cc+aAeQ/kRHO4D0Jz6oF5A+REc7gPQnOtoNZO82p5vxgZ65Mi4r ktxN7Y11guJJ9I2F7ZfXd68X6mf7EwM9JX7V7ND++wtb10sc4n1oSUd+QHyI jvKB5DL5Aky+cDgEpg4AUzeAqQ/A1B9g8hGY/AUmT4HBJzB4BgZXwOAKGP8D 439g4ggMroDBPzB4Awa3wOAfGPwDk4/A5DUwec3VH2DqDzD1B5i8ACa/gMkv ru8Ipm5zdV4w9Vww9Zyr21x/FEwfFEwfFEz9F9YjLhRPnPxMvN/NduMMmwK1 OnGozbqsfFgW+VvVbr9XypH41kWfuD0FZ9eNOzYHlUKX1V12ed9pEFk/l4Ta GZvVHqbH/VdlPYD4rY42d66SXZpK+55tUiZ4Bax/LjzDu4zZPqFYDf1iyNoE 7YpwTcga/ZXO541xQXtC6tLV64etXk3Jov0BTam4P8S1vW89+G3Jqfk56DFU Fla6Ok1tVr4afjamk28dpCu5+x5EGQHHSbk0ftHbPQpn6HY9PW+fMGVsk5r5 JPeb97PyxVvBV6NsfOvEo4HN3nk2Oer0wTlHnup85nybqvjret4r/0kNOpSj lpYEvulqdZWzC3Ccgs8Bjpf643PyXB7qoaBegPoA2q+gPwD9AAwfaBtd8BcX q/si2m3BhFGVDersM9kf122pI/8q6G9AP8NCl8JTBl2vxIvPhsxtY1RDPxgS Oedzqv+aQue5Xg86m3N9fr3AeAuMv4pxl/8PiM+pND4ZllgrdU+V6d6hHn66 vNgxDoZvdf7Ty9J3DNf5VJw6M7ixY7o6ee2Lcwd1/Mydu2jMyH33lE75R51K tXvgddDb/bmuf0jz+GjD95Viqcf+hQml19X8t3Y/3BFdI5j4ir8lD3d1tKoW bd6LOlS4qUYt/e6D8m39qgXiQyBeVMQJjVPwOcDxgPIUlA8oFxj/APpRQb8C +hMwHgrGBzAuwOCZ8KcgHgFxSP5S0H+AfhPoL4H+U9FvYHT2zNmk+21OwMPA 9rea1QmtwzaG6/qnnf9aLdCeiJANyb/cf2lSX2wxFMfp9mLeKpjHgPlL+a9g PQCsA1zcAeNN8Vcx7oDyFJQPKJf0U1BfQD3lfOPM1MWm0MxbUFTw2399upRI unnfNQeGBrqPLw0plvT1Qw5VhmZmgldjtU+7omI5TzPv+18Cu+/WGx5tsPAx 76umw/GDsfOM3rJ/KJ+ctr04zaEIdkzdMDi5g+xDyq+jY5I07S7k+r93qcRG 9iHFR+sWr2kF8DrfsXfavCLRoU9M/nFDlayrfSfufd3H9TY0lrsP2hNsmT8s fzvW1jcjG0r8MgbsCZbrJPXFwIymPq5ZcHjs2DWJ71j6ToXXO52NXZNgcuUr z45zTZK/ed80Dtb1fWz8tF+55ONVX9HKNyNX9muah0S4rtzpEVcg9e/r+Evi NIdieHf6hffGjy+U/kE5uC8bJ4yiPGz6WYtcM1+DnJ/gfZRnkPzRDkD9ZVzQ H4B+kHT0B6AfLPN5s32Adkk90d+AfhZoj/Qb2UXzBPIP+QHjKsdTfBFP0l7C FeJS0gmfiEtJJ3ySH/IwTkdqTybVnCYcGuT4U0ueNs5MteAT7wPR8XmpJ/FB fEu7COfmfXT5HUWVcI54lXwItwweOPwAk3fA5CkweQ1MfgGTX8DEHZj8BQZX wOAQGLwBkxcc/oHBP6B+0v+kJ4NbYHALDD6BwSEwuAUGh8DgEBgcAlNXganD wOQFMHjGczB/wjMweAYmr4GpY4Kpq4Kpw4Kpt4KJr2DqvGD6AtdHxBdnJkQk Garx+/ZlaqzivSG0a5qwPtG01bMffe/4pNqwb2vV5UF5YP6ubb0ywm7Q4G5W j2HL//KsN+/Px+8ulynID5APfk+3XsdtyutdOn3+iJcfzumWJn5M6bDsufYI v/d7Sx1h2zntd50PylNiA5at+KyfEfpWjz4Duly8lvogXSBf/J5wvYr8AfXD 7/DWq6gnyVNQPqBc4qug3YD2yn5B63xndzvbT49KPCkh7e/2dD5bAokpl9om OyQJvJb+RzqsxPUcxRH5SDwvXrGsu/PZh9CYNHm1XYMq8FryQbrMR+ITuPjA P9+YfU38o8V6M2T+uKIddemyDlP9pPGUX/T+jsYz9gJjL6c/MPpw+gOjJzB6 AuMfzv+C8T+d51DWtg4LuKbjoXXbmicr3oylczCKacPAw+6LyvFcVjj8P3Lz 64/09ZF536RWfWG3fESsD50zp3MdMeA3+2h65e4bdP5DmTX/QHpvff0CWZUx HYMyxPLfRwen6vNt8756leo80yW5yecKnreoUvA+IB3PXZQpHzVlveui592/ Ur8KtO8YC6hfi3M74SLz3DrPDH1dRudzTg44cKV4NZ0To/+p1dc7qCfyJTkq 8ic7FbQb0F5OLqCd8twL2guMXGD8hvupdxW0A1B/wDjJczgYL2DiJQZmlI2K Pmp5/1BUnXvtXas8CP/a7/dmzfKeIdi6YGFhVAHcOPbRw6PnLOv08AWRjq5W FyEyd4uz4aTlfcKs7R0SarVCEb6u4JC9r+X9Q+bFdosStJs0TsHnAMfD7CfL urtY5cn1dard4Xmdb9WJ8HmX8zods7w3mBL22KuDlRFo3Y1yAPmD+0Df5mUB lvVvn7jxO22tSuHqyj29hzyqkOvcF6N6rWrUasT3pdZujlZVcj0bcLRTaq9J NXI9iPwA+YjffrbrUarbR+vBUvGDbd64OqB1JeoLqCfJU1A+oFygdR/GAdD/ ImVSfJCNlWUdfeNxSuPVceUiMsm/t5/uP1r3rbq/ubj/gHo4sG/XuQLdDlpv rvE7b9P/ZRWMTQz0WSKeyP518cjh/0Toz1M/wvuAdIgcHeFTpvOhfhFw6xcP H7dk6PTFHv/g8Zb+EuQ0aKu1jpO5Hi+HddP9QX1EDdyQdfr2fdkv8DnA8aJ1 mVO7kfov1YeXe1v5b9qUJnosOaFPAAplvvfJCz/o1OUyHCteHN9b15fypf3H WuGt6Oswr6eht4sul/LRI81z1pbyRPEHg2m0Ag== "], {{ {RGBColor[0, 0, 1], EdgeForm[None], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxMnQeUVEXz9md3Ns2G2TQzu2LEACjBAIgSFQmiKCpBUZGggq8BSSIqRsAE ZgQzqAgGTKiYEAFRzIoiBjCBEROiGAnf86Mez/87Z57Tdaurq6ur+/bt27e7 p+GQs48Znp9IJPapSSSSCtO1iUSlkBJ61CUSX2UTie+yQRNeJuHuoq+sTCS+ 0PWhoq9QutZVwT9A9ITKkEd2onC46HXZkIcmnG8Z4tfq+jDR16UTiWvTQc9S +HA6dCK/zjKz0xEH/a10zK0Mneh7ujL46CCum+gFlRGHnUfKxh5VQS+uTiRu lq2PiM7kEol784KepXCmaXhcP2qZSdmgCeeI/5jo1QprLIM8ctiA7ZQHPei7 RzhfdIniOySj7JT7K/sQ/2EfMs0KE4lvzMfeRdVBYy++RqZjMuTgE095yBd/ zLbfqIcr7YfXxHtOdFfRj6ZDBvrxdFx3Ed1Fed1THXz0POi0r6QjPTLEz7QM 8Q9ZZmk65Lq6jv6rF+pkduNEorfo9SrT2LKgz1U4tCzk0YEd8H/NhlxP0SeK 96PpHxQeaxl0kB7fnqf2c35+2EA7WWo78Qm+g+5WFWU7RHSuIJGoKwiacKeC kEG2m+Up377CwaJvku4uyZD/XvoPTkZe893+4R+aDL2dRe/qtOghXGKaEJtI Sz3QLkmLPtJ3dr6k7+y0XCODjeTdR/RA2XhiVbQ92iHtjbZ3f57bq+iqYtWN fH4ftOKXZIMm3FIY9EPVEQc9tzquSVtdHOm30YqvER4SvUFpfxfm4n/pqBX/ ibrw/SXCPNHjFP4iG2Y73/ZVIfOjeD/lBU34aV7omSc9LxUGn3Kgi3zJEzvQ 81fx/9mP7dh6L34QPbgw6FrJZIR78Kfq//zy4KMDXdDInmX5kwsjPTTpkJtn OykD+WJ7hyrrrEgkmqaDjy1V1om+WudLfLN08MmTPOC/qLSd0kETzzU0PGwl X3z2o32CP5YIj3OvyZZJwsOiu4t3flG0efyEv+B3LYw46PMUP64oaELq6DH7 Fp8/7LojDXz6LdoQfGSJm2t6nmVIt9r9IX0Y9xsy2Dje+WIXecOHN8p6CMeY JkQ/bZW+k/ZKGSnfe6KfFJ1Vvje5nVycH3UBTfu62PSn7mNJu0z0G9aDjrdN w8N30PCWWf89jSOPp+h/FH9hftC358c1MtdJ9u7GQWML18gge4HlCe8Q5ou+ T+GVthl7f7Q88eilv6Kfo187RvRhqvND09Gn0bfRr+0n+t7SROLP6qAJ/xJa in5T7etuYV/Rz0vmrtLg982POOSR3akm6E9LQxfyO+k+uNb0x6Vx3VH0LqlE YmQq6DXKvyAVafevifTwiR8lHED96j7YsyronRWOM01IHGnJn/TkdU1p2AqN veS9j+hShWWm9yuNa2SwcYr5y7IRR9/bNRljCMr7eTbKjEyB4lfouoPoG/Oj j4YPj/TIf5aNNOhHNzbtbf984rwKS0MXNHYVWgabZ5qeaX9Cf+Ky4B98c0Yq bCD/b2wPIc/lA0Vvpz6+rjJownrThDyn2os+XbIDCoNuoXuoudBJ9GvS8202 +P8rDDn48JrJ51977MAYAp08i3jWUy/U1SbThL8736srwyb4O1VFXcIn3RWW wa4vrBMeaVrVRRu8szhsyJSGfdDY0rgqyt5CNu5dGDQ+4BpfNZCfdrSviKfO KBdlpWzYs6UybIKPP1rYD+jO2OfooO0eVBflZuwIfZfHkNBT8+Maedo1edOW GLtSN9C0qe8sj46plqc+uR/2F12ssp5ZGPSesmXP4qCbim4sHCl6hGz7S3Yf IfqkdNzLvUT/Lfq7dMj8UxlyR3NfKBxv+q//j09IXF/uQdlyan6kReYf6++l fqVdOuTzJJtfFXmdK14/y5D/T7aB/M91P8O4qX86ZNBxkvnwGGMdJfoBhQ+m Y4xxlXQPsj3YcmJ+8Bl3kDf9GH3YLx6TIDvQfHiH2c6UeH9UBk34l+nx1tPH ZRlvmvAC59tK937LZNDkPyA/6G7izTYNr5VlkCUOPei4ynqQvSIvaML93W/D p++m7L3TUX78tlI2flQZdU390z5bi54m3o3mU/+0iVbuZ7g3oDcVxzX07Yyh zH+0OOKguYeIo81vlr6tvh8Jt1g/ba3Y7Y38uU/auD/hfmzje7moItJyf292 WmSbWp540lBG6pZ20NL3MnZSLsq0wWWnHa20fF/xjjEff/ztdkLb6Wua9naS 65r2SH0f5fb2g/2ADx4uDj768DX3IGNq+nds2FX6H3E/gyz+Oth9KX0rMsRT B9C/pyMN70FbsvFOBZ9y/O5xGmM3xo5zRJ/vscqDdTGuYXxzUV2MqRlbX0jd iS7OBf2m+oEl6ZA5JRn6oZE9QdcTRbeR/qsTQR9YFdfQ8OZK19Wi35Ptr4q+ SnQf2dK/OPjL8yMOnehOCJPd751YGDJl4r2dHzThctPoK7M9pKMMF4v+UOHK krCfclAG/HNQMt4VkXlHNhblgo9v8d0FoqeorFOF8bSxqnjGwIc32Xx4pKWM qVyUGT28y7ZLBk1IftjWX+FA04T4EZ3om2Lf4kvk0L9jVeQNTT4vV0VZqIdN 9uFb+eGLq+wffAqNX48T/pRcWvwK4XLacHHITKIfVji4KvhHF0fc5a6XMsuX K9yYHzQ8rq8UXaP7qaIo9KDj4KqgCVOW+YX3pqKgL1IdrnO+n2Yjb/joqCwK /eRztGXQgdwV6EmH/fjhtarwC2kvLgy9tJNWCneQnmvoV5Xu+3TwO4jXVZjC vWk98GlTQwvDV/jpLfsQX5ZZhvj9CiMvbCQ/9G+Snp/SQW9OxzXyPJ8H2B5s IW9o8m9hGn3Yij1FlWHTFJeRa2hs/MVt7JWqKDM09c81+VI+8r4V22gbZUHX qI1Xp4LOpCIOGh7Xt4n+Tn3gLpVBj5eOTyqCHpmOa+SXloWuW/Ch/HNMcdDd FHakvxY9RLLVlUFnFNZWhkwvxuaWof/kmYt+8kmYHp6O/O4QfZ/fu+ETv7Ui bKBM2IHM7OqQu7su3jGHCzNd70cKM+ri/ZL3TPjwept/kMJhpok/3jQ80qCf /B+y/uF+h53pemxlmYuqww7StmNMZxvIp4d1orud+fC2LwqaEF3IkO4gtyvu iV/sK/zXz/7Er1XCZaJv1TvKSGGC2zxtkT6HPpX7BBniRwiX+h5sKVxCf6vw /aqQIX5SefBfdr+HzksKQ+8Et/Oyougb6TvfrgoaWfpTZEYURhp0/pWNewGa 8FbbiY4RliFP5CgXZaKtXOK+9z3biY3YdK3b9h+WPzkd7ewa5wWfdkL7pQ0h MzYdctC0tbFuY7Qj2voltv8dz10cVBHzF/iql3hHuIyUFZlL3f8cbPpA92nQ raoiDTTpDjS9b1XEQeN7rtuKvlv9ybX50Y8Nk11fp4PmHqdfXiL6zbJo6y9h v8b1q7LBh1dpGcIc97noD1T2d4TFonOSKcsEPawsrqF5vx5mujgT79qkzfG+ k4u86rgXqoL/bmXo3ZZXImwibbnSFlo/+ZSbhode0mJLifCa6Ofl15UVQV+m 8ByV91XRD8kHj+QH/XB+XL9ue/aoDH697Fko/iuiXyiPOU1o5j6xGTqVjjjy La2M9OhBx87W80x+5IENzNE9b3uw68OKkEcPOuHDu8x8dOxoncTnXC7KscE+ pKzkjQ+pqzrXC/L4kbnBnpI/nDG06I3ZaLvwF1SEPfCHqhznS+Z+6kj3S64o 6Km6b24vDJnz0vHuAJ/4LoWhB93ogt42d5KOsdzjhTGeg36hMK6hGd+9nA2a 8AXrwZYNto25zF9ME6L3FZcLfzFuHO+5OGhCxpFL66JtVrpd0aaGVcU7xaS8 eMeAD4/2jfxW9S2JVNCEcxoHjQ7iKC8+wC/oQQfvJw+4H6BPQQZ/3GhfwcOn 3OPMd3axn/Hxea6Lw/yO9oDLSN2gBx34nfLS7mhztHPuG+6lZW6ftOEXRU9X eLOwUPRVnvuCf2t+xMG/Ij/iXhC92PfgC74f05mQYa4PuQV1MT/Zvyj0nOP5 N+hzPW+GPPNso00TjjRNuDIv5O8uiPTQ2Di7IGh03Go+PORISzrmCrHhuKJo HwvcTmg39Ffr0zEmgf6G/jkdz0qekzyP4dO3fWMZ4jeapp8bZhoeutBPWcmP +qKu6Jfxz8vyzauZoPHTy6aXZMKPzDt97Hk/7L/D85DQlGOSfY6OJU6L7/E7 z1zGpIxfF/i+GOc2xpzl1cKzog/Ij7lO6Fai2+QHTUjcc/ghGXOn0F8l4/p5 91fkB39tMuJIi+wwpV0E7X57kfvVnNsY42vaGf0YbQ16kfv5rGUYJyO3zDIb 3a/Sdz5nmpB+8Hm3vaWZoLFrselPKsPWZ0QPlOwZ+UGvSsY1NB9Ch5kmfrhp yvpDMmjCVaaR/c8nhMwvkxf5kx9+xseT7Fvkh9q3hPj6adGD88MG+NQDup6x TvJ+2nYOtjyyXN9ZF98pGM+1E32K+pYvs0ETMpe1Y738oLbzU2nQPyhcaRoe 1zuJ/lT+Xl0WNKHMSOwmuhXv1rmgrxb/krKg4e0v7CV6qPK5VdizPuaTrqoN fiXvPpnQ2UKye1seWeKgiS80n3Co9aBjsrCz6Hd1zzXLhc3Y3q88+Ieq79yv KOh9cnG9veghzPvmgt5VYUdd71Af+WMH9C+l4Zcd7J+9zW+UiDjKSFlbWc9x 1aEX+jCFh2ejXKTDd9iAjbtZnjy72//Y27s8aMK9LUP8YZaBhx1NRM9XuR+r DRofcI1P+F6Af/cQPUr1fnpV0GOq4np31xH1An+ueE9a5sGquIaG11IyjUS3 yUUZ4aPvQetBx+NlQU8uC72NqRe1sStTQZN2otsD8shgc1PVaeNM6CSfMdaJ PnQ1sm8vFpqLvl3hnU5Lup0zQeODR4RmottKz6ySoJ8ui2vSkq6d6Kaiv5Bd n6fCV/jtgFzQhPgOmbcUf2Au9JPPAU5Luo9Sof+oVOQBH9nVqaCJJz35zi4L u+ET/4XTHpOK9NDY28c0IXFNbM9/bZv220poiN/0fGnO3KDoT3jvxlbRW/lW lRf0xQovMb1Z/Lxk0MQTR1rSrU8FTYiuNqLXyt41ZUETblRce9uJP6E7KJxW FjobJSMP+PBuMZ88sQk9D5eE3raiF4m3OD9ksJH0pL1V8Xf9lwf3o9DJ/t8x E3STXPjlINqq7rV/+XbgPoT+okN9tLubU0HT9q40jc2dbH9b6z+Ye4E5j6Kg H1X4QFHkRT47O9+biyJvaGzhGhtm8H3A9hBOrA6a8EHT2IgcZafc3xeFDfiJ MkNjC/bt6nvh7WzU9Y6q552Lgz9Z98eUquBvJ972wi6iz9WY5be8oDvxrSM/ ZIjf0TIXFoTcru4HWjov8plsneRD24KmfbUwTbibacJdTRPuYtuwa4z1wMM+ 2i1ttrX7Xvo8+l9oePTX7fCP7N09GXXTwfXSoj7mJpmjxG/4jHaDPLJFbjO0 F9olfHjoorwXFUSZuQe577kP4W+QnzbZV53zw1/Q+Oy1guhveSbwPKCf3sN9 NTL4eIPTIkse0OhDF/3VhLLo67h/6ZO29XGin1JZnhCGYL/0ZVSewaK/UrjR NOEvRSGDn5CDPki8dsLJoheqTS2vDvoKhZOEU0VPle9vEk5x/0k/C32wniPt yoMmnFsWOtHXvijSdpVsXm3IkK6d09Jnkp68GuUib9Ji+0G2593qsAMau7g+ TXSB5MvUtvaRj1oIewub9NDcIixg7KHnZz7rBMpDvpP81DMTdMdMXPdQ/GFC 25KwZ05ZlE1ZJ3hV+kr0frkYD5Dfyb4HG9lvlA8/1mq8VSL8nA0ZfIYcZZ8t n02rChofTDWNL2fbn/jsfvu09f/nH0J81IN64VtAKuhlqbiGficV14fZJ0dm gr9FvK3mwxuVCZrw2GzQ7bPRDpFHdp11Et4gHCJ6RY3eI2uCJsyvDRls2WKZ 26tCrqvo/hpvDmQtFvUr/Z1zwd9fvGMrw//Uw5G2h/zx8aHYo/iDRXcX3Uv0 jMbBh8c4Epqx5YmK60v/pvhDckHTrl8tCr/hS+oSPrzpjcNmyoS/0H9P9v/y wl7yQz/5kAf2jxbvDttAnu1drlGVEYf9fbLhx+6287+yU27khopOyobCoqAJ 83JBFxVF3Enc+wr/EAa5b6f9DHJbmlAdNDyukR+v/u/c4qBJN970mQq7SO5E +m3WZ/FNtD54xA20zBnC8a676cIJfi48aflVup/OywZNSHr0/6i8fi0KPjqQ gw/vNz/jeNZNLgobyP9W65+psJvHe/RhbUwz7mMcRlqejVMKg8+4bILHe8g/ 5fEe/dxVpnn2ogf96G7pZ+7kwnjuDqCf5H23KGQoH3ZgG3bhI+TJc7Llkb3f 9UK5KTN8eI+Yj+/xYyePW7HhON/jXU1jD3nR964tir54sNsq7XZYfbSFQtc7 9Uzd96etKt31VUHTf9xgGt3TTBM/MBt60EG/Ocz95+7uf5Dt6vZGXrQ57kH6 TvpB7MGWtU5LuvxcyHCPFthOeKQ/VvQPReET2s886X+iKmj6ANpTP/o9+eH+ 2uBPdxuAD+++2tCDji72FX66qyr48G5tHLR+2/I73m1pnvWggzxIe3dV+B2Z 8tqwA//gm//qAt13286a2pCDxvYa60GWOjvebYP8GNdNLYtxA+PMv9Xefi8J fifX+2i953Zj7rw26JUK15iuz0bcqLpYKzMrP+gDk3EN3TYZ19DEcz2yLr5D 1lcFTcgal3NE78u4Nxv6P6qN/OCzDudr88mfvEnbzN9S+U7Ld94t5sPbzjpJ hw1jyYtvWMI40bsVRZuB3lVhveldGHOx3k70v0r7TlmkHSffjC4J+hKF55tG X2kqaHjIjbGdyzKhBx3vlgVNeG/jyCuZi/ygi9x/QpP/ruZj13amiScNev7O hn3wiac85FulPGuyUXbKjU/xG3WIT09krk/vK8nKoN8S/UY6aHiFwgl1sfbj dOF45qmk40zT60X/mgwZ4v/jw2suDEBe/miXCrpzKq6hO/BcNb0b75Gm4XU2 3UxhQ9Po4BrbCr2OAj7xu9nndamo15OY75JM2vZjF3bjk+bZ8As0vqnNBr1X NuKg4dWZpn2tcdujPX5lPvHEnWCftLJ+6hldw0Q3VXMsTYbN+PXNdMgji0+R Ib7cMsS/bf9TPtaLIEP85mzwiafORtTFembWJFD2dCraIjRts7+uz6qLcR3z PmeKflrjwPl5wadvpN+DvzAv4s4Q/ZnXAMA/Qvqrk0ET/pUfMqwTWCEMZ+5L bfjHsqD1aNl2DQ3vH+k52/fOwrKwmTbYJBl87oV/LbOoLK6RIX5Py5BukXWi 777GYQ+2JJNRlgKPX/kuNkf8+/ODZm3aHNPw7jZNP8AaNmi+oU3Oj3m8oakY F0Ezn8caNfLCZ/gCeWRnWQ/h1/YVtiy0b/H3n5mQIR/sgF+eDb//4e82fCP4 LRvfR/hWggzpyl3X1D/3JD7H3x+x/kx0H+UzUfT/RN+mZ+mbwun0jdiTH/Tp em5fUBw078tfmb8tvjh0fiwda9PB590QOXSir611ouOc4qgX2hr3wLl1scak g/tS+jzaHzLUG+0SmQ5ezwNNSJoRvo/2dVraKfct9lC+j11e2uAS2zamOOzD thmy687qoNso3I13JdFzGQMXBd1APlxbGzK3VoePoEl3q+kDqyM9+infGPsE f3APcN9xzz2TDflHqiNvaPJ8xPlun4n84OOzA83/qjZsgsYu5KCxizjaGO1r qPu3jqnoE+k/z8qPvnV/xlR6dn1VFfSXVXHduj7mhCqTQRPe2TjoC/Jiforn +G/qB34tibQvKd3XVcGH97D56H7W+r+tijygl1ZFmpb1YTNlhI/sUsusU/id acJvTZPPOqd9WGkbZYLeVBu6oNG3Vya+hxbJ34XCYNGt5YNWqeDDS5kPr0kq aMLGpukTWpumL+Ea/egmb/Tw3ZU88A++wXfIbK4Nm/YT/bLqaAnfCTwWYg4O GWxHjrQNEuFfZBgrIQc9zWMn9DxfFLqYe2E+kznMvetjrox5zn3xs3irUkET rja92vOl0I9lQw6da4pCL/THRXEN/UlRXEN/WhTX1C9jN+oemnnHvzx3x3ze tWUx18c8X9dsyBD/t2WIv74saMKplq/2dwRo0nGNz6mHhS4XtmM39rzEXFB+ lP0Fxc8qC3p+WVwjsyI/7N6nPuYBmBeAZt7yP3lofAeN/+Y7LXVFHvj51VTM c0Hj77ftN/InD3TO9tw1MsSTBn5rz5PCZ57sQOdF/u1tDzTph6i830jft/lR 9oV+fsEfqv5jGOsORV+t98UzdE8e5+fI7dngX1EQcdAzk3ENPUv03cmgCWea HpaMuOM9hqFfYGwz2uOEU0RfV5FIvJgN/hiPDeDD22Q+soyH4K9KR5pT/Kxf ZXlkuWatIuu1GT+fLH6Ob5EuSx3zTamwjfL9z/wCr+U+VvSz0vFMOmjCI033 UjgwHWVpqnQHuFyME7lGhvi70qEf3aeaj45e1nNnOvJAhvhh1oO+NpZHB3LY hr3Y18/6u/oZepftgYZ3VF70w4xD6Yspe89kPPeh8UFfvl+KPqFcfUg6aMK8 yqAZb1bKt4M8/vm6LGjCFWUhgyz1BB8efddA113aetCxY0XQDSsiP9rYZwXR zqBpazzHT3K+pB/i5zttdJD7xh+dL/oa2jby/Mf1y9iGOiYt7Zo84FNWyj+U ulN4jOmjknE91M9Hrk8VfWwyaN6/eL5/b/34jzxOtXy588J2bIXfLxnp0Xl/ NuTg14qXsX7S1VoGW+63TH4y0p9q20ib73cj3pHgowM55vGY20vWxvdc1v01 r4o1eBdXxzq8PfVe3UjoKRwotBUOENoLHYR2QkfzOwldmBNk7lDoK/QT+giH CYcLRwqfS+8aYTvRdUKtkBHOFc4TBgrHCScIxwrdhEOFHkLTmtgvvJuwh23b Xaixnkphb8vsJ/zInkbb3L0m6DuFX4XfhI1CtfcdVwiFQpFQJSxXXJnCdxU2 lF8eqYp9K3/r+jnhGeFeXc8StoguddrXRF8sXCpcIZSIVywU1Ib8PcIM4R/F bRL+qgmd/wqbhTdqQv4t27lBWG+f9BZ+Ef4Q/hS2CvdL108K76uKfJeq2S1J hD+vEs4RBggnCSdSF7o/thd2Y59sZaxnbyD0YM9HOtbb9/EaSdZKthQ6CPsI nYVDhC7MeQo/6l7cQffRvqL3s8yN4g0QdhX/DtZZsgZWuEAYz9p5YarX1LO2 /mbJ3iScJ/pJ4QnhMeEG4XrhWvZuCL1N3+T3AN4H8ENCvvodn6dD5ijhTOEs 4QzeGRV3mjBUuFmYKtxknwwWBgnXC7eYnxOuc5u8WrhSmCzMFGa4/RxXGfPe zG+P0/X5wuXCJcICmTRf+J/iyuSDEuFA0W2FZpRLcTeyV5060fUgYYD1XCCM rQmZiQqvVdhTcUf8JyOMtQ+5d5mfXyx8LawVvqqJcSfjz2+E74UrhIlV8U3l cn/fqRYqhDKhsbCH0EpYJrlXhQ+EXYQdhM+FNR5rMx7+SfhR+EH4Q9go/C78 S5vm/mBuTrq2Mv5VuEXhZmGTUKDrpJAvFJkuFEqFlFDC3sPq0AN/Z2FHYXeh UkgLdcI7wtvCW8JU4UbhFn8rWm7+e5RHeF/4UvhU+EwooM0IRcIKXb9hmd38 DrSD8JXwtbBW+Mb9FWkzQq1Qw75H24b8WcKZwodCve0sF+YJnwgvCKttwyqh kX1OuQ6wr/BPV9Hdea8SzuB9zPQLsvUd2hb3N32oxrOfCVNEnyx8URMyTwuL hDUlIYfMswqXub+a776LNvOmdb4ufCh8JLwtvC98ILyHHrerL4U7hHnCLGFJ TbQ95l2nC7cKc4V76BOFu50X9jxF3yTMtgz9ZJnPeVio6+cts07l/KE6+vBe CrsIRwg5+/xU4UjhMPN5vxxdHW2syu35NGGIMEgYKgwTzhaGC69K74v2YcJ+ 7iYcLHQU2gt9hT7CsUJv4RihX3XUC/YcIhwvHGr6FOc1UDhI6Gw9/YUB1kPf 2NF95khhhPsl9jheVRn7qVZ5nddHnkPkffcXYaXwgfCt6XXCCuEd4SfhNdNv Cd8JjwqPCA8LDzIuEGZ7PM3Y+Q5hnjBHuE94TrhXuEd4W3hXeFNYIDwtPCQs FhYJLwp3Wf4p3rGt/3bhFeFlYanp94XllEVjq2nCjcIeat+NhKZVsXZ7v6pY v71B5f9N+FVoYpndquIsjesZg/Mcqop5a/akVAkJYb34c5XHM8Lzwp/W87ew RlgnfF8Z73y/CRtSsdeNtOx3I9+NlbGHrZS+SSivCj3sF2Tf4EvWs0T42fKV kinTuDBfSHhfFvuzagpi/D3I/lyg8dwPwnfC78xhCD8Lj3otIWsKd5PcHkLD ZNC7JmMtwiiNEUfkBX+vZMwjMQ9YLBQIhaYfZH+5UCG6TEgzPhfaC6cnY09U p2Tsw2ItQ4nTdrAM+6ZIu0W2pDy+ZFxZI+yfjLlZ3iO297OgAf2yylnisqeF CqFcaFoQ72ozKIPoPVjLIDQQthPqWStSEPU1X6gWXSs043uiro8XKguiTVYV RHvDz6VCymdncNZFVvhXcZ8I3+MP18Xl1kla9Fyg6+G0C6Gz0ILyOe0/wt+U mzGysFW4WbhOmEZ7qoxzMjgv4xjhdY8rlgqLhRcqY+9ITWXstXhJ7bQMOYV/ pmN8xZhqs9rcj8IH4q0RvhS+EG5Kxx63eZ7H/NBzfS8w3yb5T5nT4X4QGtEe 0zE2Y8zGxoEtov/1WmHW+f4sZG3P7rRZXf8ojErHmuDT0rFu+FehoDLk2UPC XpKTymNv1WbrfEnPjCXC87wz8o4qPOJ3bObkKePrJTGv8gG26nqxsFp4T1gu vIsPNO45TXmd6nHj5cLBwiSPSVYLLzrtQuxLRdovU0F/xbeLUvUd4l2djv17 TwhP2m/v2W8rhafNn5+OuY83UjFf+ovC73kfF55yf3KlUKpnQJmQ4vkpO04V hggXCZcIFwp3+rvxk/4u+Ki/RT7sd4HHhVt4XxIeqoq91COrYj81ei4WRlfF +PwBYU5VrAFhPciN1oPO84QPK2OvK3tg5wnPeAzMu/1Ml+uMqlgjyVrJ6Yq7 y+PqF90mX2VcXBn7RNhj8obb7TLhBJexv23mWyffaOcLTwtPCR2Fg4S2Qnfh EKGz0EloZz5nLgyvin3+2HOmMFY4y/xzTMP/n32If26rinNuOGfoUOFo4Rjh OGGhsEpYjh9Mf1wVe76TVbFPm31LjEv/25u3pCr2610tXClMEBabv0jYqudu nut3o+jfhN+FDaZ/ZWxJu2EtPPv0mEdR+JSwh+h7FO6q8BbeYYQm6ZDfk3Yt 3CveTgp34H1J9D/C5oo4Z4XzWPYSBvje6ZeOfS8TvE/nDOFM4XRhO+5poaFw tvkXCG2FbkJn4Sq3f9ote6nZLz5HOEjoKHRPx77oPunY53yI0MVpsf9WYbrw pO7z+ezbEM7U9Vm8l6DP/DnlIfOUsEiYyhkewg3CfcKDwu3sf1OaU5izEfYT HmUNmPCb9K0XWorXQzjCtmEn581w7swoxY8W3hM62P72wgnM7wj7ix6i8ETh dmGxsLt4yxT+z/3YqemY1xvj/u007+9hT8oFkntGuFCYLYwQzhAeFk4qU50w Z1oR9U5dTxOmCHOFm4RrhMnCxRXRHp6riLq+W5ghPGL7RzJ3VBZ60Uk9NhDq 6SfF2yi8ZZ3XC3OEUsV9pfBz4Q3hTWG5cIVwKvuihElCnuQmKhym8vxPGC0M 0/V9lMH7mtiTdH5F+Jm9Nuy7uaA8fD5B4bGK6yO8JCwUVleEn1c5Lfuahrge 2d9HXbC3ib1Is53XLO/fO0R4uSL8hm8/ss4Xfe9QR0uERcI7LtdrwgfCeOGi ish3tdN+7Hvh0orYE8Z+sRW0R9l9m3CGsER4SVgsPFIebezD8mgb/8P3win2 28kV4Z/ThKHCOOE84dyKaG+089OFs90eZkjPOQrHCmOEPYT9uHcrov2Mt29P cDs8XuhFvQhHmj5COFq43HldIhwotBW6CYfhY+Ff5fWL0F30z66XvYXm+EPX PfGNwlYKOwr70AZ1fZ1QJbqpsKfQuCL27nSuiP078NsL7Wx/I2F3ISXsXBFz DrsIu1XEPExGyFXEXE1SKBDyhX+4b4UNwlpho7BGKFVcsWW+03W1wnWME4TN 5VGuL4Wu4u8v/Cp6fXmU8Sfhh/KQp+xXUm4ho7ZVJaTpE5WmpbCvcAB1qfiB 1K9wqjBIGEM9uf0fL5xYHmMV9uCO8j7cbvgWO4QewqHC4cIXGjd8xtktog8S /mFficLjhP625z3hfWG5y/J5edQF9fIZOtjDy15f4Z3y6CfpA+cJrwivCkuF KcLlwvXCW8Lbwpvl0R7GK5woHC0cJfSyn78WvhWuFiYLV7nsp1h+sDDWPpnk fmCo20lroUNF1MUf5dEOuffJi/14RwjHOC/6kJPtz/aJWCPL+thzheG+11gz 2978M4VxwunCNOEW23aZ/XBRefS31NEEyw932Udp3DxSGME43nVdk47vlnxv LEjH/ir2y9YK5wijhTFl0TcPdP88T/XWW+EjpcEbZP5xwrFCP75F8f2Ktf/s 7xIKhErhT6XpoPA3hQ95bS/rQg8RugudWCMqnGA98DsL3fh2yTdOvkGw14C1 uXzHE5oJe/L9TXhJWCK8ITRUmXcRdhYuLo2zpHLlsY642GuJbxauE64pi70K 08ti/8PHwjLhlbKQLbI83yL4DtJS4VsK33Zed7E2SrhN2CT8JfwhNFd+TYRG 5WFPWvizLNr8w2VxXyDTQtjL90uH8rgvCqh7oa2wTLZfxr6ksliffafzuke4 T5hRFt8b2V/SKxW+fUB4QnhRY6kWQjOhqek9hYeFu4V7q+MMQs4VbFIda76n e07sWmGK8ITwtDBfeE54UnjMfNYrsE6B+b3JwlXC9cJLwlLhZaEn40yFtwuX CZcIc5grEn+WbXhAuN/8e2wb5xyyjmGW076u8nzkeump68OF56vjW/E0fy++ XLhUmCRcJlwoXGCatausYb2J9quGML8kvu/ynfYp4RnhWdMLhJn27dHK4yiX nbZ3gDCqLL6l31gW+zp+9TzGNbbhSmGK8Hwq1slOdL7I31AW36tpe3yzZk/I zJLY23Cz2yEy7wkfCB+6Xa0XfhYSagNbFW6hnaldJBRuULhJ+FfI931XI5QK aaFCKC+LtvS58IowR5gt3Ce8Krxg/t3CLOFOoU5pioS/RTdUuIuws/C9rp8V nhHWCGuFry2zk7CH8Jau3zGfe/93YTvbUy3Ul4XNm4W/vBfxR+89xIYZwv3C pcIFwjjyqohxWn46xjOfCe9WxDkHnJuxzmOPsR7n/CisFb4QfqiI8VuSd8+K GA//XBH6rxAuxH8V8b7wpzBZ11e7jOOF84WrhJeEN4QXhS+t/xvy0/US85ez x5tzDEpDz1NO+wFn1Anvc81zn3cHxgm6boC/hZ2FXdiLKfQQDhW6C32Eo+l/ hS7CIUJn06cLXYXRwghheGn0exe5XOjfVTjNMscIvYR92FsoNHJeBwnHCb+p bn4XfiqLdRPNvXbiRMUdT99vmQ1l0S+dYH7/0pDB5n7C94pbJ3wrbKfridJz TirKmBW2F4qEEiGPNsL3Xs8HttZ1K6El9WL+JqFC122EaqFY2Lc0zuvjfMDd S+P8wAOEdsL+LmN7oXlpzPkw//C615GwnuTPVNjAOX+c94f+Z8R7OhX23CT8 IVSJf67CBanYk7HVfPZevCisTIU9SSFdGt9tt52lyty3nrtDPe/HuUcDkrHG jDNCOG8kJZQLBaav4GwgziIqjjVnOSHrNbus3S1hDqZQ/hDWFsZDKk/YKnoP hY1Yc+61wruZv1r4XvhGeEf4QHi7MM7C2y4V5+itMP99Iat0PRV2Loz1vg29 xriBcLh4Rwhb1GclqReF5QpTti1P2FwS/L1F75WK52YTr5nag3UvrCVibYuw u7Cr+X8rzV/Cn8JzwovCM8If5v8jvK68lwuvCocrTTehi/CA4maXBF1MvQqF qVine0Aq1vQeKhwmdBXa0p4sc1Aq1vSytq2H0N0yBwudbCf5viG8JXwkfCx8 aHq5/dmWcx45H044VzhHOJuzHH1eDmfjcC7MSPNPEU4SBnGWk+r7EmFicZyj dJLP/npPeNPlbenzkzhHaXdhWr6eF8JRPu+Hc38OK4w64vydJkJjYU/hkMI4 L4I6rRUy1G1h7G2bL4wX3ma+XLx9hBfky8XC08Jrul4pLCNObWBv9pcIPYQj hD5CX/aZmB7J2m5hdFGc/YQ859D9pfTfuh3+KPwk/CD8Kvxseie3t46sE7M/ 0dPJ+9jaCmmhVjhQaFkUew/ZNztKOEs4oyjaOfsO2X/YRjhA2L8o9sMd5LTN fL80Ib4w2jxte+l/c63CQuEVYYEwXu3gAuFy4TrGHTz3U8GfJJyfijHJlZaZ 6j6E7yxThIuE84Teqdj7yx7gvkI/4VjhfuVxtML7yFPh+8JS4TLndbEwQRgr jBGOE04QjhcGC7XuK25X+ttKQudJ7kOQOdHyA4WzheHCMOF0YYRwmvC82t/7 whphufCe8KXwKWcECquLY1PeXIX3CSWiq4UiISPUCbVChZCmbyiJsl9i+39S mq+scwP1rnB9YdjM/XurMIfxkOlfFb8RGeED4UPb8LnwW2Gk/UP075bhTKkf fK7UCvvwvVTsgWbO/wf8I9wmfAdPeVwhXC6sY++ysF74RpgsXC1s8BpV1it+ URLfcfmG+6r7qO9K4tvvF+bfRFsRvhTuFp4Q7jQ90+PPacJUYZ7waEmMS1nv +qAww/JzhYuFi4THhRuFG4QnrfMp4SHhMuFSYZnb6suW+db6e6qcR6TiHWGx sEh4TXg5Fd813k3FXnb2vL9k/zA/Pz0Vc/XsGf9Z+DAVz7sXUvEcvDAVe/ke td+wZ5n1L3S7vVS4JRX7xNgvdoUwT3hceEy4W5gl3Ou2TTu52jKThSeFe4S5 wsxUjKufFeZz36ju72fPdWHsG3tUuIzzcISHOftHuLkuztI5T5heF/NqnJ8F 3dDfi6AJmXtDfpz7aM5z4yw3zn1DhnQNLT/Ec3TTRO+QinN7bqyLMTlj85tY c5jReDUTOskfvchzFt3OqaA58ydjGt4OptFHHGlH+rmBTvRtEqaKfkp9/wf5 IVOqPqykKOYQppfH/DB80jHWYA0h6/FZU/i5rld7Le5i4S3hTeFd028XxZlj fIdiDwB60EEe0OTD2UTYU+O9KtCEBbZtfn7YB3+T9/jAx975thkd1M2NlqFs 19XF9we+Q0AP9fcIaHiFVVEvbYvjbL4bRJ8kXh/zOZ+vjflTlGdpLmjie1cF DY8015t+Pxt84kmDHnSQx111ca4dZ+exBo9z8liHhwznAvayzLYz6nMx9mO9 XouqoAk5kwWZ7nnqfwuDJkTvQvlgmfBcUfgBH2wtDdtOqYrycy4cZyVyNhwy xNPO4HPGJeep4Z8KyQ6wryhfqfn4rMJ84olDD+10Y2noYb8HuqDR94Pz2uz2 Bo1sKht60D3UeuAhd73rizho/HqOy0JIeZ5VORcIbwir3A6/Fv4W/mGMUBTj DcY8B8u3PYpj7HEQ+2mFQ4qDf5hwuNCK8zGEA9kDKhzqMxq7WR5+6+IYR31S GDItfK7GXkKOcbaQFV5xXSxnDOLzDzgHgf8E4KynGiFPKBAaCQ2cdofiOJ+X c3qLhD2ExsLuQmfb3NPtsqPtaWaZJsL+sutejxtvKoyzuDiTa477t9nC88IC 4bnC+E+ApYVxBtlc93UPOX6hZVjP8Jiwn/TfY/0zGZcWxdn8nNHPvbiM9e+S 2cnlSgrT3F9yb74uuVfyYy37475395HMy/nBbym6ve/FdkJK/VapUCMcqeuj hCPwtcdg/xM9lbYuXMv9L9wh3Ma7j3ClcLlwC+Nnj+UmCpcIE4SLTV8knC70 FsYLDxfFnuAnhRvom6z/J+FnYb3wkvCh8Kfwr9sbE31PKHzKab8TvhA+EzYU xV5q9lSvcbtlj8Nr1rnO8uz7YW/OhdaDPY/5eXSf6OGKO1s4y+2Wcf7F9tvx Qm9hpHAZOoTzhfOEccXRV2PPaNGXCpOc9l7xZhXFHmnOcOXM22OLw+f0SfRN cyyDDSfreogwmPtJ9daP8Vd+8AcKJwqDhAHCCb6nTqJtFsc67tOKYz30N7QR 1e3XCt8QFgj5ut6q8Lvi4DfyOpOzhLOF4cII4RTWbQsjfY4J55SM5bw2YYzp 89nvLowTRpuP/DXCZOEyYaL3KLA3YT/2ugj7CK2FlqarVLa7FD+HNS6s2RHq hKbCz6r2FcIlipskXCx0Y00nZ1zxfz8+H45z4u4XHrOeFGuFFF/AveA1Xd3F PwA7hJ7CA17H9RjrfHTdSehaEOdjcDZGc6Gl5fflf2f4nxj+c0ZoJN3NhQtk x6n21RDhTPZqCKcLDwkPko/wiPCwMFeY4LJcKkyxr64VbhGmC9OEG4TrhVuF m82/TcjjcC/2HClI5sU1dC1njwk7CFN0fY0wWbhDuFO4XbhOuD4Ra2JHCOOE s02fyXpn4VLhMvwtjOf/iszvKPQSDjX/wkSU/QjhaKGzcIhwrDBU6Cd0wTfC Z5zLxfy8MIx1vcIooatwkNDd/13FnnL2lh+n6+OFIYmohxauiz6s+RV6C28L n7M/VJiiMo8WJgsd+RYjdBKOVNxR5MH5+0KHvGgzf4n3u7BB+E3403RGcdu5 7V2k68OFUxJxDtxEnwVHXpcKtwmDhWHCyeQnuYPxQV6sPeMMpeHCvsLXLvt6 ZHT9g8JbFN4qTLOeQcJA4Ry1xbOFs7xusFjlLhL2F1oLrYS/hTXCX8I64Sfh Z+FGyd8gLEkG/3vhW2Gt5b8siPdc3ovHCSt1/YnwhXC40hwm9BA2scZL+Ed4 X3hPWCEsFZ4RnhbuEe4VnqR/EDYIvwo/qAzr8oL/krBEWCi8IQwWhgpvud9g HuN5yywWjlTeR9sG1s7tLezndWVThZuSsSbtfOE84UrhEuFCYZxwrjA2GXt9 mMc71Wv5hgiDk+HbMcJo4bhk7BFhr8elwhXCRclYi8g6uv5eN7iP0CwZZ1Jy fuP1+bHWjjWKJwq36Po24RDWvim8RuiejPPxt/33lNfO8T9R7GPtobo/wW1+ qsp8gnA8fQv7gBV2zI/1gUnhmIJY+8cavxr3P32Eg4V5whPC40K1nl1VQqXn i5gXKhfSQoXpv12nxaKPUni00Ksgvjnik96iexSEH44tiHWJrFHcviDkdxB2 FPq5n+wonOQ6xf6D3Dd2KAh/Ui/HiX5TuKAgnhHUUYnyH6+wIfNHwo7Crp7j wv4B9smNwlXuSy8X9lDcbkKjwmjPW4XNwuv0ifnRx26vuO0sUydkPW9GX8rc 2rXub2kP7Dertw3MuSXcl+4lurmQK4y+F17SfOboOrkt7VAY/4fC/6RQFv4z hTWip3nemLYxSGoHCye7H75LmCUco2dwP+Z8hB2EpsL2nofJCQeWxPlKnLN0 aF6cucQ1dBeFxxEnnOc5B+YT2KPP+RAjhHOEc4UxJdEnd3H/fI/nK5iz6iQc JHQsiX3+93ru4irPpVwpXOi5kQtKIi1nevH9i3mkMqEDcyny/W9Ca9EthVbC fuQrHCC0KYmzHXuUxLwf/M7CwczJMNZWeLiwUPRrxVGuneXLBm4bL4lXKN4S hXeUxFzZLSUxl3hUScyBv84YV1jGeF68RsLuQnNhX6GZcLRtwOfIVPHObn4v 4Qihr9Bb6MN4uCT0w59kf14rXO+5HXwyXBhpP/PuMKU43n2YW8sKDfCn+ZOF d4R3hbeFZ4QXhPnCA4xrhfspo3CXMEO4UbjN/O4eT07w2JLx59VCtfywqDjm Wm9mrMmYXRjlcewI4ZHi+F8O/p9jNmPN4pgPRP9Nwg3FkfY602Wqz6L8GDu9 6nrBty8KzwpPMe5U2U4UjhcGCCcJJwuDhdOEQcIw5riKo+5OFb2n0KQk0jYU TnHa/tZDG3jOPhll347wPbKj0z6tuMW2oauuu/v9Bf1nCENL4vsI85yrCsOG Ibbnf9RhcdhJ/fLuw1xoicpZSr8rZIWMUCvUCMXmc4YxZ/eeTf8vnCKcJkwQ LvVzgWf6zcLtPP90vz3re/854XnhCWGAsNDjotnCIuGRRPxXyo3+RtBD6Cp0 EZoLzXg3FPoLx/I+IFwkjLI9Rwg9hcNtG2eB8L87nIG3MS/0cJYe5+rxfOGd 4kPhDeFu5T3T40Nsfsp2YjP7sNgH94LtXyy8lIj9ccuEV4SzhBeFV4XXPVan XH09TntPeF9YLjxjnzwtrBbeFd4U1ghrPZZjjPqwcJ/wmPCo/fOj8FMixk63 CdOEOaYfZDyViLLca3tOFE5KxD4yxqKHJWLs+oTK/DrtWrhSuFy4U2gvXJUX Zyt/kxf/dcj/we0h/u7sM2B/uK5fEBbnxX+LzsiL/wd9THhceER4RVhiGf6/ 7vW8+A+7eqXfzu2qndBWOFD4w3X0u7Be+NM05zffmBdnOP9t/j9CE13vaXs4 a/zyvPhfpK0Ktwib82KfOmVkr/pyXb8rvJMX52evyIuzpznH5C6XnXELZ49M tm0zhQ75MW/AnMPS/OjnPxVWC3OFJ3nm5scZHy/mx3kgn0jvx84Lf85wGdnH 8YLwvPBUXpxrwp6Lj4RH7Td0chY+Z0HzH4Cv5YUNTzivefkxp8E8yYPOa7rH z53rdQ8WxRlq7EveqSL2JsPnPLO7hEEZja+FYcI9nDGWVXvJBt1EsntVhMz/ hJOEmbkYB9xREPRQj2NOt8xp1tOpItLfK/q5gngXhI/uTuYzpjnFee3l9X49 fZ5iB2GG+L0rIs3tnIHHHKfpZnon2kcYwrljwgDhNs7PUvzetUFzX3HdX3G9 hWMs0z8R71KjfHbgEcJo4XDOEcyEfvIZ6bwIye8O0ddkw0d32FfYjAy2YN+p Sn+KcHImynhiQZSTMiJLGvj4g/fiHpI7VOgu3Cr+CPZzZ4O+SfG3C3fnYl0j axr34/x0oVkm+MdURBzyyF7JuwznGMqe67NBE97EHHgu5giZO4K+WrwrLUP8 AKXpIr2HCJ0zwT9FvJNrI69Orot+iusr9HF7uMPvMXe7vrDpRvRS1mzwsf2/ eqfc+KW10rfivBP7akFBtBV08h2Xb7jQ+3rsCQ2P6xZK09x+gP+G36Go3+P8 jgz/Ao+1oQnftp2UA1uRH+I+GJq2Q/ugflmDSn2vyMVaItYRvS+6RmE+632U 9zrh90zI3JcNuY3mf58JedZekGao2+pt5ifEK2e9DWfUJWJ+oUQ6GnBmlPCe +GdI36JsyFyRiP9Lps2fLfzmfFkntdgy0xOh62vFfSxsEP71WUecedRM4Y7C DtmwoaHyr3e5WOPC+pZWnFfC2UHWOSkReSODLHLkS56UeX/OIrE8fNZEYRM0 a6M2Wx7/cV2die8snAN2G/exwstqQz9rVPAX7ZP5aea2sYFyU7b3nO9w6X9S OhYI84Q7Xde0gRmu37M5EyoXZxr/XRh++EsodZ9wkNA+E/cgbf5Y9znHVUTb uMP3LO0APvo+0riom/uKIywPjzTkRT7rCoPmHGXyxn7mj/AjfOIHZcPmYe4/ KdeZZVHf+IH2lXC90EaoJ2QoN3LbKX2Cc6IywaeNLHadUof48elcjPsY/93p vpr8cpLLCplsyJzm8Sl0T49T8xVXZP3YjL0z3B5op5SHOqL/oJ7aSe5A4QDO A6JdZaMtQxfzfUd4NBfnSXCuxDzaqsLrmWcU/YD4s4XHc9EftLMedJD+kVzE N9Bz7QbOndCzrjo/+I3zIg4+vLT5LfIiDj68cuFC6Z3IN7pM5NXONmPPg9mw iT7wBL55ZsK2v1XWfxJBExYzzhH9ony5SLhEcuP5dmR5bCEN+ntnozzQE9XG ++p6iq4n8z3K8uij/NjAXNWD9gN2kQaadL3th53yomz/5OI9jvc56BZ+r4Oe 6XcqdOJj9D7Bs8x7lqmLOdmoj034UOn2KQl6bDaukR/ufc7zRV+cjDk36BFe k4086V40P68g9k1Cj/RcFPTlXr+9WfSHmTjHe5N9eHo2/MlYABr7p/qdDZpy ULa/cnHmx2Wca0F/nv0/eno2rpG/tTjKD41v0EV5aXcVNUEX1kT5Sct5CdNN jxd9YU34mbaGr+HDm+C8yHO89aAPXeSFveT9OX2X9DWhPeVivf2n5dFOqPeL qftczHkw93ET9yzfbHnu+9lKX8QY5DqPQ5DnbIebEkHf5DkTnilt1B+cXxZ6 7hdvLm1V/FncQ3624luer8g8kAi5uxhD0HfaHvi3+D5iPv5RYRr9Eme81YZt 04Vplsf2ecIYXR8tHJWJPoE+m3HGxto402sPjyUYXzCeQOZPf8di3DVWOMdp 4V3tMQnjDsYx5IVdN7rs5PmA/Qb/P5py48c7pOtK4fJMlIVvDJSHfvtgoSvP 4eq4Fx4XfUsu1gaxjofyUtbTa4Me6TqAhjfcfMIRppvUhhx13cb7Ti50n3CB MM5lPD8TMsSz/+JcXZ/nssNv7/0X0IRtTNN22I/DvoYJ6CuLfE+ojbqBxkau kW/nPTyUa1o2+m5o1lqy5hKadVCUGRreZ6aRXWuZbf7Q9Vzl+ZDwoMeozEEy NiWvgd5Pcjx+FI4T7nPbu9fyjGdJA834dIT9if/wHf0D/Qp9B88gnlc7C609 rjhA+Ely3wtbhBdz0W5n8vzPxVloDwnP8rzQvZjP2Q/UO88f4Zmc/780EWlJ x//7Qt/pe2BRLr5V8J1ioei/5L9Dy0IG2assT/hVJmjCtZnIlzyTnP+g6622 Ez68R+lfuH+EhvhS4e6ZuC84d3iGMEfYQdc7CfXCLsJ2pvFJN88H7qbrXTOh h3JRvrku+5M+Ywb+mMT/lZ1yX5WIcVeJUOS08JCjvH9URJl3lh2dsa82fNKF d+68KO9a9xX7cpYf9nqszJj5FOZD6BN4xxFa8H8CQuPa4D+Vjf11O+q6ubCd +chSd9DE3ylcpLgLhfG18fybUBvjQ2SQRddRnKsrHOmzPjh/43jbfIDsPTAv /IbPGNM0UNz2zrc554AIbWqj7E9no/ztdd1R6GY+9T8rGzppF13cNuCRZoHt aZyOs1A4b6Qf5z/jF+FY+j7OZbQ/kUe2TTpoQs4ehCakHR8jud5CD6FWyNrP lIU5PdoBdU2bor6hszXR7s8VPZt+JRs04aaKoPdWXo9xr/IszkbcOMoi3gfl IUP845a5kL1Hpgm3L4uzjD+sjTOi8QnfELln7tB1C8azCl/Jxfk2nHODTvRh E3mRzwr2BOViD2ardMhgI/Yhc7H0vKy4MbmYA9u1NmjCg4VzRI9SWUfXBD0x G9djXV7sxgby31QdaUl3iPUQ7lIb8pQJX6AHfXPyQgadVaYJmZODXu15Oeyk HB8LK32mDc+2p4R5wjLOT8JHnPElPCM8yThOeC4X36NzeUHzXTprmnvx9ETQ YxMRRz+G7M55Udfc39Q3+pfSF9aGDPG7oEv3Z61Qlwk+PPrB59xXkMfzptFL X/Sg+59Xc/GfUJxL85zz3daHKG5WbZyTjkw/n18DTdjBNGEyGzT/K4Uu6pp6 5v56Q3Qf+fw5xa2WrhXCF25L3K9t7Qd8cFoi/Pm0/cb/JvGfUY9anj6J+xw9 nwir7FvS4bu3eE4pz4XZmKe9oDbmV8+l7oVRtfH/ci9l4j/mVjOukOwRBUEf qfBHvS+sysV3v/7CB7nYlzSiLPj9/d3vU9FbWMuUDfolhZ8Vhnyp9zKh8/Fs 5AEfHcPNJ5/HnRYdpOcs7C9r45xr8urnb4vIYyP2Mc7ck/6H/EQvpU4zwb/e +9ngw8uajwxjU2jGp3uaRvbq6qAJkVvlvObZtu8Ko5zP8vwQnsgEn7ISR17o XuoyDve8xDu5WE/B+ou3c/H+eKtp1lqcx32Vi/cm3oOgCffIC7qB3++gt8+L a2jiud4F2WzMabybi/3agyuiDVD/nNEJTciZnOSLLWe7ncC71nxsmWg+PNrQ 5yrnZ8J6YaHLPj8T8hM9b7MlE+tDWWf4rtveVJ6pVXGO2WvmD3KbfMc2jEwE PdL2IIPtg2wPvHHmswf9NPPx3zXmo4/8uPe4B9tVB5/8t+1bpy/IxJwkaa9x XVBfWfcV0P/ynHJb2t3t5GO3H+r0tNo4m5HzEuHz/5L8/2MfP7OGenx/am2M 3UfT5/peQ74iE7pO8LObsetHbvP8r/0nufhfU/SeURtnM3LeYxOPtRtbD3mi a7DzGlgbaadVR3ryPUc4z/rRvaE45ppuqY3nFM+sabVxRj/jjUuFq2ujfxgn nF8b33ToK/i+Q9/FfkP2HUI/UBrX0PAeZ42oZK8RbqwN+gZhSm2M/a4zjT3Y 8ltxlAW/bvOjfdXP4xzGQYylPrGfkfvE9yblXJmLM7k4j+vDXPQBN1Dv8stK YU0mZBb7nf1rt+FPM2EDfQx+J+0N3veKPPo4x4s2QLugTaxy30g/CH14QfQL 0PRJXJOW+QFs4n3wO7/vNMnE/981tT3oXii84Db5s7BcWCG8kwl7sIXyfKnr s4QzM1F2fED5sR//UQZ0LvKaoA+s533kMzH/+ZHzJU/kfmA8LTyViT6K/ok+ +nTntdry+IzyPGf5bzIxTpiUjfEB7yzMc1zuORDmLZg3SbE+vCT+e7ukLvY4 stexVPRXPEOEHyR/W0WcAQK9YzrOfCmXzPKCOBuWtKQ7jHlm1xdlhs+ej7Gl QXOW0dpU0Id5ryXyW5j7EX7JxfpG9sSsy8X+NPamkS9n05B3WV3syRhbEjR7 Mbj+0X5GF/az1qlNQdCshWIdFDKPuS6gyZNr9FOmJi4Xa6UoG/rJ5zLbwFko 2AHNeTj4pdx5vee88NkK+2Ss941SLsq0xj4ZVBpnOv2ci/NeBnDOhPjrlW6j UFUX+3iKhZ/8zMJm6Mel4/fCkEn5uzl0d7+HQjfw2gXonb2GYTfRr0tHX/an 1sUc6sCSoAf6mzu2rfU+HezBlj8LIl/89Lh9iy+/sp3YmLKd2PV5YZR3rWS/ cHmpZ8pMe6Otfei216w02h80vBXmExKHbw90PUJzFjHX+A2fcX4PNCF+JF98 TN7It3Fd/OQ2SRmgsRGfUhbW4rV2O6f+qddSpyVue/ZiiJ/lbBvRG/R8/Lkq 2idt8zFhfS6+o7+cCLpZXqytxB7W6i5w216l8Nvi0IOOX6pCnjWypEGGeNLU sXcmE8/z+ro4K3S1yrAd7Vky/xZH2uGJ+H6PPN9ZSAMfWybYHuKxb20u3kd5 Bq/185332K9El9fE+c6U91fxNpj/iOcEsPkNnrHZ4DNXQBrkOeeHNORFnr8m wj/s0+Iehmb/1TzT+Ixr0uJX9maTlnSsFW5I2ZXPmdngw8NHv3Kfql0sy0Za zhYi7xpszsScHjK1pSG3gWeE2vJDqfDbP8wjZUMmUxpyyDyaCjn8T5v9yH0C fd6zblfwVroeCVf5XqDt0L9gA9+4qAPy+iwb9YT9tAXqibxmpCI/aPaZs8ec +uVMWOqYtNQttsIfk4046vdz669xXX/u8r6WjfIgTxsZ43ZCWbHjN8n0V10d VRPy+I802ECfMMP2YEtf+wSf9TEN73XXO2ee0ya49+ljyt23sN+E/SeN2P+i Z1SS8wvoSyW/LBn0h8m4blwX61uXm+acTM7z3LPO5w1YDzpKyoImTJnmzBPO PtmjLtZjrSgOPmeWtDP/GPUVrxQEzXw88/LY8Hoy7CAv8nmxPPicfci5nzuJ PkNlOZP9+pbhexUym5JxViI0ZdpkGh7pdxF9m9LdWhp89L3tvMinPB30Gp+r gMwbybAJPvHEwSfdG/YP31j4JkIZO5aFf5vWxRniO9QEH38Q14znMu9JyZD5 ojrkmtfF2cScSwxdXB3XyOwkHX9VB72+OtIg00PhiaY5I5brFqIPVvk+yQaf M2S7mQ/vqNKw4d1s2AGNLQWFIU/+m20DIeci4/NhpeH3verifNcvkiFDPHlQ Rs6mae0you/+xuEf2tH79hV54i/Ksrk6ykNa2s4+bj+E6NrLti13WSgrfoFP /sRB0zbX2Z/4abN9he/x3V7Od4Xbz6ps+AKadsT1jqJv95wkbZK2uXdJ0LRf 2is0PNprBc8d1tdk4/7i3uIehP8e/XAi5GnX3APwS/MiDTTpkKOvYO0DfRN8 0iHH85GxG8/U3etibdf7QqXpD5Q2Lfp+9QN3pYIPb2Mi7KFPGFMabX4f8Y4v i36bPpt9uNCEGz3GGOrvtuhBxyaqVfR+1dEO6E9qvBYQnf3L4l5CHtnllt/s Nox+dP/rvAifNU043H7DRvqmarc98qO87GXAP9DsZ2FfC3W01u8jjV3vy113 vKdMMZ97cYnrmnoe5r6CfoJv4tALyuOepyz0Bw0ToWdqJtrBDnXu76uDbqBw e9PwuEYP+tBF2jV+X8Jm6qqVbcYuvs9CE061DOX7rx5pO5eYJqRed3ed4lv4 1DPPAmjC1+0ffIO/sI3nC3YzrmMMy5i+ifs3+kpkGCOsNk2ZuMYPtBHqFTvv 9PcI5op3dr2z1uukvFgHxrOG8QjPG8aiF2ZjfFxE3RUEXWj7V/KMrIt3OcYA 93tMyLmO8FnbwrsUehjPbikImhC96FxvGp3oK2QeJxfzcMzHIdO0MPIusj0X ZSOv5/wukBT/7vI4Gw0++XNmDjawzgY7oLHll4zXPGVjPRN8xjAbLbNtLJMJ nZz5d0A6dA70uJf1W6wXY80SMsSPtA2c7Ycd0A+Vx9mB0ITo4rv2W0q3KhNl vMBzCIW+Nz+wH/5IxDUy53uuYUsuvlNPKw56mtcqQxMStzUX78HvZYIm/C+v G20zfxzDOyjr5qFZS7xbSciwvgm/YzPnFVIe+ORP+vuwQe2oRVnw77Uvtrpc H9mHvNfTJpDftSzSkBf5sGYA/hXZiCMv6g1/wb8hE3HQ5MM1PqFd/GHb8Pfw ilgPsMDrA+HDw+77/e7MeZ6z/N7NGgLs/CITcwbQ+OYt2/+l5xCgKccXLssv nqeYk4vvnHzvpB5Zm8B/jbP+gbUPI6qDZr0R34x/z8WeobLC4LPmj3VI8OGx DwX6zGTs6WAdC+tfXrEevmvyTRMZZNm78pToRun4PgSffU6kfzIX6yi68R5r +9+ybeggb2hsbG0+tmArOjlzFr30CYP9TvpvLvaefZQImn7oM9P0b1yTlm9z nFcLH1mec8x7sKbjQq/rIGSeBHlkyQ+acvBtjDUbrJd40zQhY2Z0fuznBWPp oyyTXxfj/7YFIQ//6JrwyXjvk/kjF+d38g0JmnDbN7xc9JeMA0nL/8SwXuRP 0ZeXxhlcyGR8ViQ0shnT6CA97WFRYbQJ6D8K45q2Qbt4y3zO/vjDfNrbh25L tCPisBl7i2wzeWI39nAmFzY9aX9Sx8j3LYi6h6Zd9HVbQseXbif4lbohLe2C 9LSNYdmY96K9PVsda7DIi3KTH/yXfbYdNCFypP3Ec2Ubfb8Pc33h+75+J+Wd knO/6B/oG+hT8upiboEzrBgXrXcfC8271HrTrBllzPSd0r7KOIo13+I/oXRP C9/nYp/Vkx5f9cpEmhr321zTTni/570L+Vdo78nQw3lu3wlf5+J/PBhzQvM/ JPy/R6Yu/lvkTyHnMcbBzhcdT/JcFH9UaYy3kRnmMTnv17xncxZJ1mkZf5IW e7ED/fxvyY/Wj+5OpVHeScmQQf7QgijntrTJuEYe2W6lof/c0rCDfL8viXf+ NblYa9m1LMpLWRnLQeM/yv+lfUJ+X7pcXJO2Z1msTaUemYeoVV1+If61iv+p JOT5Xwb+n4F5DOYzmMvAh9nq8CPjh0e9zgE+/6nCf6ugszodczqkZf6DORFk iM9ahjyrne9Z2cibMuJXysl8CPXLnEgDj3mYG/rSPnw2GWXBBz3tB3zA+Ac+ 5bvPdUE9kxaZJ0ujnaGH8v3XZkhHHLbRrt9yeYv9jka9DCmNdgBN/QyxHmzB X5TlmpIoD3VNu56YDJpwktsV7YV6nZuL+3InP6/Z69PQz+u9SuL6oVx872Lt IvKsgWxoeZ7tyHEv4Cf89Zv7Va4fFH1ENtYQQ7Nm8BjTrLdmLSI2TykJu9GP 7H9rNV/xuZcPuL2x1gEZ7GXdMPc784gr3Fe39VwNz+VPPaeNnYwFxlpmk+cD keG5zXiLMlK+PfOCJnwjETRrJ2c73x1dFvLlrLympSGzJRFy0KTb4r6IeOyD pk8iDeME1mkynqBcrOvowrl+uTh3b5nbKnVOm8Y/3BP46BvRE0pirxsy9CV1 /k7KNwq+VXzjNjDB8teVxPlJGY/V6RdoA0e5P8m4bRP3ne/ZV82nzRKHnpvc rqDJn312D7j932c+8eRN/TbNRh3DR/Y6y1OHh7q8Z5VGmakLzp+kzuDjg53M Z3xNHGnxE/k96Hayo9sSYTPThE1N0756m6bd0RbRj27yZj0e6wpZv8v3FNZc 8E2FuY6epdFvsr6C8485B3mT+JP07rKneP/URcg19GUKH2isdsB7WUmctwjN 2YuHOC1nckwpijUDrC/ozH4g8b/hGVITetCHLuSv93kemy2zVy745Hu9+fC6 1wb9bU3IQXeojWto1hF1sEx3rymCJiQOnbf7zBDoKT435F/n1cTlbZyL6yz/ nSq/vSq8RP+TjfWr8OEx9wHNnjfkMvVx5hVnhkH/5HPDkOnpvXHQzJH0yo98 yfPmopBH9h2n5Xys61Mhc73rAhrZ62wzIXEl9fGfYfxfGHQvlfWI2tDDeXPX WCf6uEbm6Nr4how9vbxnD59wlgp1Q51St9QrdfdCVdTBn3Xx33BdK4Mm5Gx0 6B4VcR43NOH35ZH2M9n1KXNzovd2O0GGeP5zjrzg7Vsetg2pjXViBfyfrNrO F0JS9DnK69zK0Ek7Qi98zlbnjHXkmTciDXTTXMwfQaODa2h4ZdZZy7x7RZT9 Sp8lg22c+U55/nLbxm743Suj/NDYzv/m0c5p45zt8EddnIfMucjQhI1yQROe Xx3l3VNpG+SCJuRegm5cHnHII3szY0We0Yo/MxX24KvWvu/wWWP7k3o4zHWB XdhKWs7s+6EkdKJvunXC+7kkaELywCf4GL/QNmjjtFfazzs+t62sPr7z872/ tD7+b4w1WfD5bzLioPk/xH/M57/NNpmGhxxpV3odFzTzB/yvV6o+zsjkrEzk +b8+0r/s8SrfxGvq44xYzoqtro9zczkrF5qzcjkzHp3oRi80uj/6z85E/B8g NOFk20M85anjf41ZH1IZbZL22Mv3F/cN91u56Oa52OcIvav8tL1QWR9hA9OE vG9DEzIvg8+pz7PYeyP+/qrD18qCfs3n3+IH9sTzf1PQnLHDWTvQ+IY9xdjD vc79vO3er4n7n3JRP5QTeWTZZw+NvgHWgz7Ot4ImvqNl4FEH1PvPPssPn+CP 4UJ9fZy/wT7QWtFD/d9AufrgEZezzFLThPST29XHeaici0raHXOhEz5ndnF2 F/QePOdyQXOG6ErLI0t+uytuH2G3XLSH3vLhkeVBfyr/7W0+YW/ze5aHr6GR 5ZoyXuOzCtFPOXZ0WmSpC9Y38l+D/M8g9mA7NjWoj/qnHVDG4+Tbv/KCpr/n Gj20U2yqc3nHZYMe7ryQJx37a3nWsI7yj+rw87/2J/nukgu/5PxsIo96+xy5 Bm6TTe03/PeW7azx3lxoziRiPzk0IXHo/Nt7e/dTul2Ffa2HOiHvKt93+IW+ 4vTK6Jeh6YP5/8+hvAeVx/+xQBPyPzQn5eKbKWdSUkaepZQTPucoTC8JeWRJ f2wu5r+ZB0eGMxeQg79I4WrhVNF3cu+UB014oWnWwN5p+kKv0T1FdDulG2Ca 8AzThAPZryX6skzsIyAt6Wbb/se9TgMZ9gUghz2cd7vYtq32vH2fXJxP+bnG 331z8R3hTPM59/qRVND8jxjnYUMTEtcP+xV/XyrSMuZkbNo/F+di/a8g8sI3 5I08+ZAfNOkelN+Psz0flwRN+JH1cLbWcOvB9kWWIZ59d0ty8f+Wv1QHnzKt tgzxXGMbZcI+fDLO+yVOQ095/IcGdU1bfljlGpyLvfT3CINy8X+l/FfpwFx8 72UvCXRz8fYWTs7FGVTsd4VPPHtOoAmbOy2ypEceWfauQjf32SlDRJ+YjbNN oHlP4hoaHu94yCPLWVfQhNeZJuQcLezHds4EgM85WdPcZtjPzb7uQbZnn+qg KV/r6pBhz9B5ZeGfByqijqAfqohraHjUH/LoOzETNOnGOS3x+BcaH/MfJeRF no2dF+nID/qiTNiH/f+dZ4A8dhXYzgL7cJDr4j//U+5bXEbuCXRxv7QviXsJ mvumvccPjKcYk/Vz+5/lNklIm2b8xn+VMabc4rE943loxon8h9lW3uPELyoP mvE8csgQT/qE8lpQHf/psNV6SAP/I77XVAe9sjrk8uvjbGf6wzzRX+bFuWzQ hPSJ+e4zkSMtOlY6LemaWf9r1ZFHnvtS+ts8jzm/sE5C8uDdinXrrLPHzkNr ozyFklmhcrwrvxXXx39q8x/cxX6OH2makDjkKR/l5FnPeH+I9aCDOGjiX7AP 8R/5Ffu9oJd1nlUb19QXffZ57sMJx5gmpH8vEv1iVfgdmjriGj3Yiy74xH9q O8mfstE/0G/R9+G3D6rDd9D8zy7/sTvA/fC2fjkXZ/ZsR3+ai++EIzPR99Lv XuZnwXSvvUF+O/fn8Kd5LdOJudgjM9p8zju+w/Lks79pwpbuPxelow/t53uQ a/pk+ukHUtFn0u+eVhC2jfS3VPSgYz/3q9v2W1lmir91Ul7+f+QsP+8ox0O2 k7092ArN9zDONThB9J61cQYCNCH73XjX4D2DfSAtPL9xZGnIEM+6XfLCr/h6 b8ncq/hPS0M//iAPaPJhT9Hxvn/PMB/evubDY+8YNCFlhx5UEGkoLzzisIH8 sbu/5a+0PDKD3A839TxVw1yMZRhXVHrcwriZcf6xXgO/hrluvZO9XxT0VdnY qwgNb2Zj3Wd1MVZpbz7xpPmGd1X2vAhfi95FuhsK6+rifWGe+sYveYcSb5/8 oHeWnu6i14qeqLa/Uy7oyZVxDc3/cnGNfNP8SAONDq7Jqy4/8sM27OqYDRl0 72sZbOlme/jvGP5TCpr/l+rDuLMu1uSj/1vbhn7Kxf/NUDZoyneUafQQ973t v7Qy0u7h/c7IIDvTMhOyUUZoZNskwobHFH93WdDYwv+TrHPao20n/kPuB9Ft KuN9Bj3oI++lPPeTsb8befTNtE70UQff2od72Sfd7U/8zH+f4evf6uLM1nlF Qd+t8DTOWRV9MXtV0kEvEH1JbdDwHuL/gOvif0r5b7Rf6+IMe85tXy86qXw6 FwXN/1VwTVp0oJe8yHOm8Avv9Qrn2oYZRWEH8s/XRt7Q5Pm805IOOWwg/7/L g/8/n0ELTTm4puy0BcqPPV2KwiZ8m5APflfar+riPwn4P4K19jM+gs/4nP// gOa/QJCDhneF+dxnyH3ttkQbhY8+4sgXf3RxvvzPPfX6g+cfsAMfjpYPB6SC xpechf+r5xPONp9wtGlk+Q8B9LStDL3w4Q20DDpI/4t9gm+/q4u9yStNE3Jf H62+YjD/Q5sLuqVMO5L/9uVdT2FdRfDhDTa/VWXEHW6atPBH/X80IXF9RR8i +hfOdauP/4/oZJr3Ta771G/bdpp4xzThi0Jvp4VG58mVkQc0dnGNHs6hQxf3 yHSfP3C0bbgzG3u5Bmfj/euw+ngfKxC68N6ncchY9e1dRR8rff2FQ0TP0vP2 9qqgkzwHamMtCmcRcfYQeZHPC9lI207pWleGDOcSzVJferDoyZJ/tCjyPZb3 Fcu3r4w06N9SE/lhD7YwVwWfPImDf3M2bIU+3/Ng0IQ3Wyf5718Z9MG5yAN6 YGVc0z/QN9B/4dsvafv2OT7G173qYw/gE7VBcy++whxoffxX2t7lwb9CvEmW QfYK05f4/oUm3TzTk9yfoAcdXZhfqI82e1ZJ8PnfLvL4zs8pnj3f+RlE231D 9I70QxXxrr3V52Jtz3ggG/v10Im+K6yTfPgvMPjwyK+P29UtqqOe9RGPHO35 BOk/yO2K8wJpW9C02b6mCYnrbb8tcltdax+ik/8/4n+Q4BO/1DKE+J32szEZ fXpP29mhNGzGHnyBPdjSyvca7XmwaUJsJe14yV5UFjThFNPoww5obHkuFTTh eM/1Mc/HHB99xUN+FvzovoV+8lPmWtVmGgufie6tsK/pz+XzHXJBE/Yxn3ji PjX/EdPs5UTX53UxXqGfhOa/kvYtirTo6O1xC2MWvk9/6LEHz+KPPA5nfA7/ eeo2FfRzZXH9oZ/pXH/iZx/9OzTzUfz3NvQFlRGH/EqPAbCH/3DCJmzGduxe VRdn9nFe32qPJTj3ZLX7f65Xe6zC9cq6mIdmPho+sjnFfVAX/8N5WHnQB5bH /3N+7mcHea+yH3awHsrKOwn2NDYfnegjv1X2c2PThM1NH58fuqCxvaXpE/Ij Dhoe12/XxX8w8//L+GSbX8uiLqgH5ouZm/1/Td1drJZHEQfwAxw+2nPgHM57 3gcM2kQkEqRJY1o1NlFKU+RTKjYpCg20F1JLQ7BNmghiC4UeigjU1FTRxMSP izZoa4zxpon1xkStTUEhWtq0JIoX5aNVTI01QffH/Jt68Wbn2Z2dmd2Z2d13 n31mrSutL2fOrW/mTrcxalaD72zwpl7Bj+YOavCro4UDX/pK8NW9M/hwXw0+ GhOjxYt/2wtW1z6x/WJ2a096yXDB1k4vZ79anmdrYHvD5JwVvvihg//ZyIPe lsgwkTuztd3df2zC3rI7eszB1h7WHUtjP7tGyob+HB3RNVhKv3RHby/OKFjK JtS1T8kW8dLHV/ilLlr42s/G+3TWJ++LDbNfvF9q8DNDdX8r+OmheibD1OHy E/nus1QGdn/h5eCQcWpw0BgIrFyd81nvuZ+ebbxzRzeYjXy5/f7Q4AvWCV2N yf6zXxUf599s2rrdmt3/igtzaow3vql7bqTqy3cPp7ILactgYKm7OOEv8O5s tGDpG63uieST4XiDZ7V026zaZ7Ynam8UjjMMzl7D2dLK74786i0ITfTOheb8 0coHq+f54pwaq6ztLmYc+3DGzMUjNW6CF43UM9g4ein9KX077fr5ULXTWs56 37oQjv5elD45MFR4eE3uit+50LwxOPoSnjHcWu/b0ypfny0ernx534rM1uZo Xcwa1TO+b8e21VXvQ6lrnW5uoPdLrQ//kf7Ub/r0jw1+s6WnW93fN/j1pv9f Ti54blffhoN9J67MPG4Od/ctWGpef2FO3fXjbgv46qnz4pzSJ73CcWeG+zLA 7h9ZNr1w2OO22CeYrGDyst03WvpP74v6ha8cHjruMFkdmuh9KjTdx3Ip+Pj/ K+097h1L5CGvOznA0lMZ5717/FjGeWO8cV/dEyNV/1T8fVFw4JoPTuLVbG39 aOHjo39PxWfV0T/6WP/Ch7sh+PRwIv2pn25Iu7RJ/74WG35//EWf8Qfw3enn k9Ev3wRviH+djL+Tz37OU7k3yj6JvUP7Mvd0dW+8fdjPdnU2z3k88CbnKZzJ Nv41eEvylSuTb60+r/1u6yp2D3w4b+W72K91FVNI3B6wO6k93xb6Tzac3zX4 2X7FapD/9HjFALq1q3g+zuWCpeJbHuoqfrI4yusi262RZ0v+P4DlKcPXPdh4 y58XfHQOTa94xF/v6t4EsW7Bj4xV7Fp88RRTaGWDf9TyfzZWNLVpe9pCXu0H a5M2oD84o2Q92FVML3GlwFLxpNY0eFnL//5Yweh/pFd1xdxW/7EGL224N/YL vr1fz/Dv61V9+cqva7/DDT7Yr7uZVncVA/Ds1OKLp/hj2vhM9sPpi94uRF/u zXZ/tnx5b6VdcDZFF/qDbtZ2FevmA72qqz/UR/+neV+gLcemVxxt8pBF3Cd1 H2rlXa9kI9fetGVZg4/2yzbu8E5zoHR9e3S6rcE7W/raYMVD+Hf7zfJupqtz /c73b+9q//n54ZpfzC3ip6EpNgi661reTe23JPi+rbBf/aUG72npgobz267e 4Ry7unB8e7E7OL/O/ja+eB6aUry8L/1P86/72WSDvyiOTFffczuDdF9X8V1e GCgc5WLLoHOp0fjOwqKP//HhgvHZkz01MTOXR2btI5O6+KsPXz3ybU9dfbFW H/Qr5qeYtGKCrY8vbJ1RNgfmE/cElioTf8B95u415ws39N61VbrlS/Kv71UZ fX2mXzqDw1+PBUeMJHjshJ9tHqj/25/o176hfLbzk/ijcneafDQ4H++XXuhE fISl4UOP5CQjHRvfvCM63X4Pso3Wx7vHCn5grJ7RR3t9bOzKWBIZ8DcWiJ8m 1i6+4o99sv2G+qXT2ZMqdg/bFtOMvx3NeMlW97X8v3sf0cbY3V3FpDiSfHln IttE47NzrHCUr/K/vcGrhyp20IMZl+DJ933D0qHKV++B5MNVZsy3r3+m/fZ3 9a2K7y/2Nnihb+na7+EGr7MHG/jx8XoG+2bCs7rqiTH1cPgq29NVzDxy7s2Y g+5EV7jqwEebnGS7aajasze2zZ7REX/wsbRxU/oc/IuBet4bfzyYMcFcQb+P NnjE9yvTCp9u1ZFvmazsoa5i6/51uOho9zt+jY7zbfDREGN0f+QXV+v54LCx fZlH6BI+3O81Pz3Q1X6PvR28nOc8HPhvw/WMpvM43wx9McScy4EDl3z0vqZX 9oGm7wCem1qwFA84+ntNbEO/6lM0xSR7LjS1FW91fVuAlnH1aGwSPv6Pp//Z 2zcyv9zS0psDm09uyTjvPh/jtXzly5Jv/B7v1bxzYLx0JP/1gboLCGx+8AzH vOTuQH0rlokx5Uhs8mDmL+U/GK8znCOT644V85158oftt6qredZ8BMc9LGIv 8sG/JOYtnM3aMVo4YrKiRf4vZLyAo/yp8aJvPDOnwscTXTjK8QPjuTlykvFA 6pLL/K29+sO86F2V91TOmxqLnAn5cd53G5esu8ybb8auPt1VbJ2BrFvknYke 2dcT0Rdf4Xt7Yg/0NxE/9Z0VWMqO9e11Q9W/R+KnZAZfO1Rl+Fo32X8FS6dE j3RI9+SxLiDrkej6kfHCFyPYukr+/pa3ODS14z0ZB9jq/tCHe1fw4V4b2dBT 35x471jNnWyVL7Lve7ua988Plv/yS/65tau1gLIdXWLR9esdtLO9Ys/B2dHy Xh6sMx7Od5ybXXSMAeb48fZ8fb++cdqRsffyzIrJJpab+Zse6Y3+lvOXrH/Q f2Ww5LA+cRcTOXdkTEYLjB75vtJVXLj3Zj4Vv8+8CJ7Tq1h+xnDjt7My+gR/ cqCjfRNZC7n/Cb+vGm8b7bW+M+xqPWBdApb6ZpLM8/6Pl/UsfnAOT3l3DWOt 5OzXEu/7+xXraUVX50e8d97Z1bkdsqmL9lVT62z7xpxvh++cyR2ZK619xiZV PhreYS/P+ECmTd6Lt9/n+6Uj+nEWR131zLUr46d8DZ25jcY1MwpGb25geXir a37el344OqXaSY/OXD0RXehL+gDPj626H9I9kZ9Le7X1rviyNcWTw4W/P7pg A+yLHWyNre5IXfWunHOaXfvfqyOPPiOT+HVi1/k2bHnsgW3R79lG76XBkuXZ yAOHDuGRhyy/Gq7++WDyVzW8lf3itavl/3da3ckJFkvbHMZmLg/XnGFdak06 P3zx/NNg+d25ln53YeFPmll1rm7t2ECnWete0yu/vT/+4hkvcyve/NGa1Jl7 +WQhx8Z+0aF3/ckn6GBb/Fr7xYrnmyvSFrKjSzZ+Rj58raPpmg1bg4sRSWY+ QW40telS2rWrX3qCI/46/wGbkz3TC5349k++flLWZQ68OT54PuOPPtR/1ve/ yXhuPHUezBhjrNkYvazIeEJvbPF/9KfJKA== "]], Polygon3DBox[CompressedData[" 1:eJxNnXf8l9P//997vN57tZekXUb2zgyhIjI+JNGgiGSPVFJURsNoaS+USKVI g6bSUEnDaqkkUfbv/vg+H24/f9zf1/U61znPc87zPM8+1/U+pt09rbqmJCUl bctMSkrjem1hUtJ10BqugaEwAcbDEHglFzfoDvfBHNwqQynMNrovgarQHz8v wcvwHFyYl5TUGD6BJXAOnAJnwmnQgjAt4Sa4AX4lcUehKDUpqRCuxO1quBAu hWbIzIHL4YrccNfzk+FiOILbb3AUfoWncXsKnofn4E9kH0mJeFKQfwtuOdaB dPESaXoO+sNguBG36wsjnUrfQtzehcWwAI4ljlynSWkbhZ8x8AaMhMfyk5K6 wT3wKPxFvL87DUqLZOdDhuOQ7Bmw1HF0Q+aruVEO0v8/hEkm3UnwN/drspKS 1hNuFazk/hf8fM/1O/gmN2S9AzuzQ6bCKGwxZMOnuNUiXcfmRxk9xPVeaAtd 4BRkNIer4EqX6xAY7PJdQbyr4TNYDovLJSXNLyOftUlLarjp2RdKJ3wGK+1X v9dwXWsZkrURNsk/bCgMPf1mm1CZKR3XQCunR7r8w37k91SnV+luAreRh9uh B9yRH7qaD3Ots89hndOgtPzP9is7vhnKyEM5qADloRI6qgwVoQLchp8ucA/0 yA25HxRGHiW/NX5ugLdhJhTgpxDOgNPhSfx0g3vgfof7wLqQjlROJZDr8lpl P/+nR/hYOi+Meqm6ONP2KTtdBNfmRRpm+vdm+DIv7FL2uMjhJWeBdTML3rOO 5sGH1tMau89zGv/N6zw/U5pfQ+ZYmFFAnPCa9SM93Q5vEPcYGA2jYDfsgSr4 rQH/yH7hO/gb9iFrL+yBH2ASfqfAZJgI1QhTHY6DWgUh6zBULQiZci8HZX7+ KjbyGrwCw1LCj2Qc4/h/Jo7DcAh+gkvR+QD8TYBLuH8aesNa1T3IIExKQaRT 6UvnPtVuaYqPtIyEETAMfsXPkfyI5xfYDOvgO/jW6P4r2AYPwm7YBZ387BvY aj9Vnf9qzm8T0nZKaqRb6a1BnLmQp7YqL8Ip/A7Ynh+2+SV2NN02WoCMdF0h n/tF+FkMFbjPKYg2WW3zlXA5fMCz+TAP5sJVuDWH1nAtXAMtU8Ndv59H7gCY CtPyQm55yLP8PP+uWBBp0TUjz2kqiDTOsI3Lpktxy4ZMKIE27jeUtitUbyxT YfPtNwFZDnM8fk6EM+Ck1LCVhP3JZqa7/Zxh/bTAz/WpEY/k94I+tgnZhsrp aH6U807b0CHbhexhiNKNXY+GcdxfQZ05HhpBc7ibtrMr3AMj4XTcziiMflD9 3yVwmfpBuAAucr8nOZerr0Nu1RzaKHgyN56d7Djkp1uCesi1ndqcRPR7t0Lb whgDNCQPJ8Dp0ED3uJ0LZ0NjOAnOt5uerSAPn8EqWA7/wy3Xfar61i7IuAe6 wt0qf9I0APrCMzDIv+U+EPIIk7AMyWrq+BRvE+jt9kvtWM+80MPp1o30cTtu z8AGeMJjj+Pzop9T//YUPA0bYT2sc/qVj8/zou0aA29TVu9BP9L8AgyDodCh MPQnPT4If+CnE787wu8Oo7Dvwyx4AZkv5kW7pfbqH2TfRD5vVPvGfRJ+kgvC Xb+fk46gf2rErXGRxkdt4E64TfEwdvsNznMZqizbwwPcP14Y4x2Ne3oWhh6e cb6VX/Uz90F39zdKd2e76dlZ6nORfRTO4T7f7YfakWowMDXSOEjtIlT9t63w c6VL4SVH6Xu0MNKktPSDFwtjjKmx5SCowSC0JhwD1dOiH09Dbmpq9Pnr0NNn 8AV8DvXQUSWoApWhfQZ2AnfCHZCKzDRIgeTC6GfU/r7q/uZ35O6DA/BbatiZ /KfaZjNtf7LDdNhP2RxQ+1EY47SRpOFTWAYjcmPcluVw8r9EfQNshMVQSp4a c20Eu2ErbIZt8JXaR/fP6qdb5YW7nm+C72Gl8y89fKm4LV/xLILayK8P89UW a7wFK2AZLE2NZw1gVGr42Q47nA7F/ydx/gEnosvj8yPdkrHB6R9PnBM0joQ3 4YT88HsKNM6PNO6E7+Cb1Biz1sG9dn6Mj9+nDRsHC2A1rEfGBljr8qyCzR6L 3mqq7UtEmlU+Kqddao9xq1sYfuS3PNcy+JEyqV8Y49z9sDM3xrsNcasA5aAB HFcYYeS3VmGkXfk9khd5KOfnx9n/sTnRfqodXZ0bZfuT+gOXsWygwGWe4XQc VP8PPxREO6f27igcgc9wWw/faWwCExmHT4IVyF6eG+5fwzd+rnG4xuM14Rjr WWn9FU7mvhGU1/iB303yI17Z537HL93thx9t4zPR+bvwDsyANcRZKyfyudq2 /AQ8bptugcyWcLX68vwoJ5XXOBjrerg5N8pR5fcRzIP34UM4l3SdJ3uCE2AC aZgM82Aq1MUWj3Vdr5MW4WbDBw7/Hn4+hHdke3Ab6ewB8zW2Vv13W9HL/e1w GAkj4PXUSMtd+O+UE7JH+Pl7lqe4bs8JuXNdh2XfsvPXc6OOTIFprk/KRxM4 yfnJJu4E/OUyHp4bbcIIh1feaqVFu1bd/uQ/F/7hvgrXilAGVdOiTqluTYdp ueFeDpqlxnP1BQ/CK+4TxrosFKfirmB5klsZZuFnjsck0pH0oPzOdhm96v5F bfhAy30NXrT8Jfh5Gj6BxbnRVuyFPW4zNrh9WOr6eYzb71mOb3x22Lhse5Nt fIVtRrajdu0Htxnf204PQpeUsFfF86XbQMWneesuOC0/5q/LbN/7nAa56Zna HLU9f1IH6hVGv/wbzMPmJ8FEmAO7PL/QPOOQ5mCE+5Fwb0E3mI7MGfCu6k5q 2OVs294cmOR6IN1PzA07kb1MsH1rXlimcWlezA/ruj6oXtTJCz2/5rZ7oe8f SY12XW49XN4qI5XVm6T5LXgbpsGOlKgDsv01Xgv4y2sJmtdPdxt9Un7Y02La xmXwOTpcAx8lkxeohN9qMAp/w2AovJEf4+JPoLXHx2tgLayCDfC6x0caJ2mu NxJ6Qy94Jj/8qr37zGGqqE4S3xKonhrrCpqT3+n1henkaRa8B1PLwt9wmGz/ W5DxFWyGdbANdsB22Ap9kfE4vAqvwCjcRsMk+Ba+9/1E2Gm3SXZfYlnj4Q3L 3K0xHHJehJWO9yvHq/i0FjCLtM1OjjWB7Q47yu34HNwXJIeeZxvdS9fyPxY/ 02CX0zTR9wPzI31fW9a37hM+d77XuiyupUxbq/+kL/wcLiLchW6zr/VVv291 G94abskPf3qucleZVJat2gYq+b5qaqyTPOi5ptZL9ufGmods+QfuX/AYTmO3 gTCgMNYvtI7xGGymDFfAa/BVWYwT1dZoLKvxcyOPxzUubwj1oL7rierHYHQ1 DLZAHbUFBWED66yL7snhR89qqq/A7SNYBhsLQsfVnBet16xzGa63DjXPOzM1 5sia7z1LtekPp5H2UwtDruKeClmpYQOyhZ6woiDmbWO0jgGjciOMwp7heYjG eRrvaR6l+ZNsWLa8GGqov3B9U70bnR/p2mzb0ligb1KkSXJP0fgYjoHqUE3j esK8DEPgqfyw4e9tt4sLYi1W67OVoLgw4uqTH/VEdXwBfhbBQphfEG2u2t52 KTEeVr2XH+n1WvtbYtnyr3jfhzncj7BuXsqPdElHN8HNWleANvmxLlzqtBQV Rr/ytMccGnuoX8yDNanRP9YpjPGexn2liRiTasymNk1tWwWP/zUPqJ8f65BD PI/U/LHI48PyHgNq3Vrr18PgAY3XiSsTUiE5LcawC3NjTKWxlcIWFsaYTmO7 Yv8uc/p7Oq/S/ZP5sRZ5neuk1iSl6yfcJknnE+B/MB7GwQi3mWorh/vaxzah 38MLoh2erba2INbR1NZqXvlBQbi/A6/6+av+/Sa8Yjva7nZE9qR5puabWtfU eubSgrBp2fKnBdEXqH2u4nagstsH2a3sVesGmudr7q81itq4HZca667qd3o5 v32cl4fdn73mscUy18+ljk92M8p9jfJa6v6yPJTLi75nkW2wtfOsvGsuPa8g xozq/9QPfg3vFkS7r75opu/VF7xut9Yuny8S0WYOdbnIn8LOcZkMd308ybbW 2PbQBz+94Tl4viDG5Vq/1DqmxueHNUfU/LuINhfWM9b6HnbCZq3B4PY4PAZP wIPQHR6CR/3sKXgaesLxhKkHNaAO3Ifb3dAZ7iqKeBTfD5q7213Pu8BV0Ia8 7oY9cAM8Szr7wEPwYF74uwIut/91xPEFbIC10JgxwudcT+R6UnbEUxl/hUUR X0+ntTf0gr7I7JcX8Uj+I7j1cD6Vv97o/Cn4BZmH4XzczoFWcA00hxZwLjR1 uq6wu35nk4eE5mGQmRv5UH56e/2nA37awZ1wh69FUM6/FfcTWqfJiTSoXHbD py6fh1weD8DDcJT8/gyHtA4C76djf+nhR3mSnL/gNziaE+56Pic9ZCjvS9Ij nPxnOu0ZkA6LNO+CBfARDPL6kNaJBubFXlK286o9pROQUR+OgTqyD2hgtxOc T+U3B8pgCzK/gq2wDY5APnLy4Ffut8OXOeFPz7UH0RAawJm5sS9xmt3+fabf 9aCu2g/CLMuJfRbtr8guZB+VIBfOxu0cjYvxc1ZupFPprQd1oRFMo3+bCg25 v50xwr1wF3QqC9vbBMtzwja1B6e9OK2b3glPwgPQHR6Hg5qfax4OB+D47Aj/ uW15IDK7lMW6qtZTT7R9r7O9DygLP3o2uiziXeo68X91A5nfw6eFsR/1Fey1 m55pr1Dr2c87nZ/6mfZVFtiWDjptsqkvYRts1VgJdrh/Vz+/HUaRhrYwFIaU xV5YH8er+KRz7W2dDCflhg3+5nJW+Z7r+tQSzoPxxeQdusAEGA0vwWAYBfdA e/uZDJnkIeE1P63plfdYahLPpsIQeB3GwEi4mLp1CZwH5yZiX1f7u7XgErXp +HkXZsAgeKs49tQkd6plSvZEmAJ3QFfo7jTnOj05ebGHMclpnuwwg52mkc7P 245jquVNtN83YTpcRRpbwNVwJdwJ7bUmDndAZ98rT8rbSZ7/N/J4dRcydsM3 sBPSSqjXsIuy2VkYcSiuF2Hgf9Iw3Tq43fG1cxwz/Gyg9VPVY/F7rJd3nacp Dt/Fuuns8myeiDwpL1fAa7h1grtgJpyPW9NE+GsDw4vDj569UxxtstrFA7A/ J8pR/s93eU62bYx3vn5wG7LbbanCHYQfHX6v2iP87ee6B1ZwvxKWwzLYlBX7 Tdp3agOX4acZ3AQ3w2f2r3CriqMv3ZcT8Sq+HW6/ttttm9u6vbAHrkbGBXAt tFb7Ar8WRj99q+NRfDfCLfYn/+e7P1JcXzueH5zP7Y5H8utCfbUt0Mj9dD27 V4eW6KwVtIZrYAt5+Aq+hM2+bnM7oN9fwMbiyLfye7XDt3SZPoO/dbivhd4O o7AfqQ2RrOKIQ+76vUM2Bu1gO1xvu5hKuzcFrkuEm+7fgrO4PwfOgFMTMa/7 hHBLimN+t4DrQvgc1hSHDTW3TMm5BdrCrfC/RPQDFaGC+4M6tFEnqh+D2rnR rqp9beL2qz33HeEOaAePwGnqX+DhnGiXtRf2htvnPrj11Pos9Icb4CaYTtzv JmLt727o7DVAuet5a3hH+yNcn4DH4FFoBfdDN7gKujg97S3javvRsysdbi56 m5Md4e9THwqZlvEc9M2JdPZ3Wrpabmfn8cGcWNPUGuS0/Fhz1VrrVJikOYXd 9KxmbowJdM6kutai0OkcWAyLYBa8XRTu+j2YfnUIfMz9R1BDc5vckKPw03D7 m7HJXzCZ+3dgumXMkH94E96CY4vC3+8wqSj8v6vxjtMw2+Gm212/P5B+YA7M hhLoAHe6jBfDx3A2+ivOjjjfdj7eL4q1yvbWk/SjccMCWOjxQzfrOuPfMkHG VdkRr+Jr6fJSubWAS1xuzeFiuALOVzsHl9suroVrbB9yvxQu8/N0OBcqQqHd 9fwiaAYXOK4rHVeaw8hvARwH1XJiT+FYp132kg2/J8LOZe8nwYluQ9SWqG2p mRNt5A3eI9JeUQvHp3ibQnfbbyvnvbP1d7vtX3qWvjXWPJX7XK55UAr3wLvQ zzY702WzMCfGqQqzxL8/dtnJlu912H/rSqnL+Q4/K86JeORnDAyH12ECjIPx dtfv6dI7jIWRMBnecrpmWkap41F8U+Bt+5FfjTPftPskp0G2pjrWznG/4Xgk X3WhAtRynZiaFHVGdUXj0Wpaq6ZcNkKZ1hOgxHWohsfAGgvXcXt2vNu2C+Ai SKONTIdkSIK/kZnCNUtjq+I4A6GzEbnc5xRHWLWPF1pGq9Q4M5HgWR5UxK2y 1uCc7t+Q9zscVN2EX4rCTfdHiyLef4oiXsWvuUqx86Fxop6lFkea5OePokhX fnHIVZ+tvnsf7IaXYSl8CmvhfvXpsL4o5qbL1WfDJlhWFHOo/tAPniuKea/m uJo3Puu4pItCx6l5TU23O9UtR/JWw2b4Ar50OzXD7l/aXc9lO+flxrxDNjTP z2a4PZFej6csGydCv1WgqnUq3SpNzziPyutX1oHyvktllxtntk73/EgyGrvP VHkPTITNyFbKwZv8/pVwh2Aa918lIj7FuykRawDSyUtqq4vCDrPdxsseS+23 ou1OYarYXTapdljt8R8wxXIes26V/kEwAJ6HgXCc58/ZtvkhRTFHf9R+dX3I YfR7WFH4GeTwqZ47SgfSxQD7f9jlW8G2eZzlaw481DYgP5oXz08PNz3bo73T khg3a7w8tSjWP2QjWitRXJqvFjpO6VC6/AnGJOJ6BMYm4neJdVXBdXSpy7Ov bVP15AB8DTvgT/gOvoXDvv7meqTfKkfVF9UbledK27vs/kwYCROKohxVfloT G891eFGc39F1vP3Ir8bFGh9Lj//kRBmWOg7F9altb7nrT7HLusR1Ngk9pcJf GqsXx5kTnT25F+5LxN76ePjYe+wNC0gnNIDaBbHutQaWeP1LbduXibArpSXT 62xa69X5qeW4LYRl2ouHs3A7GxpB3YJw/xDm+/mpuJ2idTmo76t+n2X/ins1 fPyfNOi62PsXTfBzMpwP5xRE2ra63iiNq2AlrIBFcDp+bqcfu1t7gtyf53jr wbkwBT+jYCR8AHMT4ab7AXLHzzAYBC8URF76QC/naZCfD4HB8BrxVMK9B+zO jjUZrc1oLUdnkId4DVZrry8XxLqw1sj/b20cZhLubZgHs4zun9XYHpoVhA7r Oy/SQzPfSx8fW3+rnP95ztMAy3jR6/AjnZ8l1vUC61hxz3AYhdVe1ZiC2CPT PpPm1Z24di6I+fULkglDYLDaG+tTOhwPbfB3C9wKN8DURLR5qqfj4Dbc2mrd GW4qiDH5dKdDupgAky1X8tpaXhuHUZ1W3R4NI1QuXv/Y5DWTp6kDD0MPeMzX R+Fx/9baQTe41/PkDr6/DzoWhwzJ2uj1F83F+hdGPHp2k9PRzGUxznkb4/QM h2HwCrwOD+LnIeig+pMX7q/Ca37+smwqEXqVPu/FXzdoB+191e/7ZNfQsSDO F2vPrYPLReXTAx4oiLJ5CYa6jLoWhEzJurMgng1zOuVHdffmgqg3qsPvuxxk h+8l4ln77KhTp/8nTVqTr+g1F6Whe0GcH5V7O6dVa/ajbU/jCmJvU3upE+wm W5tkW9OziW4TlI6Gbp90jkV7L3lwiPtBXN+EAdAPiiEBOVCk/SQosLt+6xxY NaiaH+fBcux/O7L2wxLuP8mPM6w6y7oFPsqPNVetveps56f83pwdZw3KLENh U7kuzQ8ZK2AVrMmPee5tiTi3m+f0lDj95b2f9HFuPMuELNjHsx15cYYgm9/p kJYfe/PLYUN27NErXUrfh/lxZnArzxZlxTnbuXZfkB9noPX8G63VOZ4dvteZ HJ2lyfScUnPL2dofsV6n2f35/PCnMw5ZlvGm56DT7Hd6fuzpaS/vLXgbZthd v5dZv0usK8mRPOVT+dO+l/a/roOJ+XGOYr51ID9yv1758fPV+VEeKhedvVWe 59ltte913ngruvoSUrX+WhB7M2ncP821Z0Hs2Wjv5mK4sCDeC7lCa8bcP1EQ /vT8Kf+W+5MFIetxP3ve7br21pY5f5d7Dvgbsv7KC7ufUhB7+rJxuV/mueHR vOgTJGOp7Ud1WnVb++pqL8a4vkx2HdJ1qmXq9/d5cUb+H9gLf+fFHFbpUPzd 3b518JqgzrHoPMuBvDjbutXr5Vo3n6s9fK1h5oXcva4ju+wue9+SFTY39z9l IZ1L16ojWruTHz1T+ezMizP3uy1TbcLxpLtxQezn6V79exO7qV5+7TgVt3Ss vbXsvCi/Z7nv5XJ50u2e2tcH3f496fJROfWDvgUR5kn/3mX5O52eVd6f0j6V zif/jN4P58Y5IJ3/0Tw9GYo8X9c+/fjk6EPUl5wMpxTHGF5jkvXo4A/4E77Q Oady5JFh2j+1sfuymDNo7nAuYZqqryLMo4nYh9Je2BGHl5y12bHHrb3uMihJ xB7xeNdB1UWto9eGC7yeXoCfFCiGIsiHVLvp2S/E+TNMpi97qTCuP3stcGJh zLk09/rR42Ll429Y6PyUT8R4R+OeV6Eyfq+E46AmtIJroCW0sF6kn9OKY051 dWqc99ccVnPZarhXgQry6/vtxFvRbjWgkuaBUN26ruF7yTxZY0adX4Im3NfT mjZcDnWtY+n6PGgO69SWQkP81oednsc1dT4OwR9wFA5q7RW/q7IinPwrHrnV S0R8Whc9E05LxProeY6/nuOr4PTXcP7+svxDHq//ADcWxx7V3uJY+68BHRKx B/CNzhUwvs8rib2gmrgdC52go+M+2+Ws8q2ciHOwOit7VyLWZbU+ux5ykVFY EvIk9+vCkFUrEXsbkqn30vR+2j9aoyiJse8jibDTXuZh2+rTGl8k4oy5zpZ3 h6+93qx15z3FIVd7Gp0tf7D2TYvDDmV/WrfWfE/zPq1fa97SzTIluwtUg6qJ 2IvR2vM+OGDd6Zy4fstda9MHbIM3+rneU9zvMPKrPRntzXzt9Olsut4dyfR+ luqB1sZvcn1YYtmSpfJJJg1ZkAtJTpfKq73Tp3m/5v+NbBuKV/H/6DRLr8q/ 9CD9/uj60srPU1xfky2/kcv3TMtTvahsm5JtaS50qtshtT9ao1EdPuC5rdYl DyeiDVNbNrQ49ne0z6N9ur959o/qNM8qwAvFsTf1KrxSHOuSWp+skhPvjGjd SXVX61Q59jesOOTK/06PLTW23ZWIvR7tJ2pfUetGeu9SZyv17lZyXvjZDXNg TyL2uRS/0jGgOMaokie530F5u0umZCue1yxDspSWTs6j0nQbPAt9oW1x7FVp P1P7iNorS7Z+DiVCF7om5YRO9Psm28PNcH1x9KVq++8vjjnDH7IHzd8hBa7D 7Ra4Fa51OP2+zuEVd2WfnVEaMrzmq7Xe3xLhrj6mq9OouNTfTEyOODVH0Lj+ W7UNieiXlAelVeVX0Wd0FI/2CJUurTenOX062107J9adtd4svfSEftaPZA+1 rhWH5oma72vev962Vs1tmWyuMRwPJ8GJxdFGqm1tAHWkS403suKdU717qnb7 GIdR2ITbH7VD2cpPXpxP0TkVvQOkeNR2nuL41A+Wcxuntk5rhWVQXBz9Vh3H fSLUTkQ7vdFtt55Vcv2p6XToqr6rFhxbHPU6y2k5xlelrea/v3OivFXuKrO6 jqOO45OcOtDA8vpZv0/AA2oH8HMADsJPsNe2vcv2/51/y13rGl8nYo442OV9 0L/lvi8Rdqb57tO2t5/sR8/2O65BDiN3pU39YiNoWBxrBForeB76JiLddfys fnH0S2pLbyiOMxQrnbbPErHmcqPbrhb2I/f+ieg3tHZymtsu9U0aj+zFJHbC t7AbmsJ5cC6cD89kojPoCl1gYin9L6yACdAyg3oHj0ILeAU/r8LLMAxG4TYa RsIImI7bZJgCM+AzxmAdoQOsKot4FN9z0B8GwQswEAbIP6yB0ZINK2EVjIE3 oHUKaUoJt5WOQ3FNg8PpuJXG+Q6d81heGum+F7rC40qnZX1m+a/D8MzI1zjH oefyNyIz8jUdBsDz8A9ui2Ax7IbviHMz1y/hT+3jcX0X3oG/Ybp1qbQsg+Ss 8K9w38BwZL4OL8BLsAO3pKzwp+cb8PsFbIKNmZGOt+E56A8zYBJMcDrfgZl2 H+38Dnc+lZ8FUIR7IazNDD8zHHak5UyEyY7nIegB18MNsIIwy2E+zINPyNM2 +tW1sIT7objV0HmCrCjX/k5rP+gNzzjduu8FXfB3D3SFuyGdMNl6n45nR6EP 9HU4+d8Ph+An2AfDCDMEBsNQOOzn8ncQ1uudNdjG/VaYDx/CXHhfv0nzHJgJ 78CHMB7GwtswF6bBFJgFn5O2j6xH6a8mcR4Lx2RFvl9G5oswFF6FJdbXCttM F9cn1aubYY7lSe46+ABmZ4a7fsvWW8F614OZrl/TbWOnST+ZUY9Vf1V3NYbS 2El1YZxte5jt8lPcvi6JMlPZDVOdzoh0K7173QapDin8fKfnA5f3u5Y10/EP dX4HwRCVq8uxD/TKijZE9q968Cb8Spi3MqOeHM6Mda47oIvXkDtBZ+gIHXQ+ QutgcAFcAWf4t9xbZ8da2Z2WIVl94DnoD4/AJXAhnA/N4HrivAFuhNsgB/Ig FxLQgTx0hKl+h/EeOJN6OF77O9w/gIze0BO6w+PwBLygtaLsOGu/Eob5zH07 ZF6XGfEqvnvx0w1qQDs4lBLP5e9H7iejs0txb6n30jTvIc760InndaG65qhQ ArdBtexw031b6QE/W9OYE8BdkonOf4D34AC0wc8NcL/rnfRyHlxu/dSwzLZO Xzvf3wL/c7qUvsvgGl9bQCv/vpk4b4Vb4Ca4E7alRZqUNp3VGUA6BpXGmR1d e8OL/n3YtqG282e4z/q69z92cT/cY/vo6jJS2byZEe/i/gG/ZMa7r2prd8IW t9E74Fu1v7AnM8KpbMfB2IwI91NmvDOr8PtgP/wgXeLnbduv7PhPKESHn+p9 TyhQ+5UV/YP6ibSsaFcnuC1V252aFelRutTGq99Se692X/1XBe4rQjkogVzI hxzIzApbv8v1RDavdO2FJ9IjfYPdDw93f7LdeVZef04Pm5ZtT/P7uT2Q8WB2 2LXs+WHbs+z6Icd1n3WvOBepDaTtWAUL3K+pr9U5XfVve6yzn9IjviPW56HM eId5i/uzDS6PNzJiDKE0K+2bnF6le6PLab9l7rHcfS6LA+nRhs+B2TALruVZ a2gB10C/rGiT1BYNyIp+Rf1LFqRKPuP87+Fb+AbeJF/1yUc9tfvcl+qbFFAD ykN9ve8FtfB7HFTmviZUg7KUCFcRakBd1T38HICvHcd78I7fSfr33aQP/A6Y 3ktaBCP8zpXevXofPnS4OX43YL796Xk30ngKNIZ7SuLdlgleM1vsuGY6DsX1 BqyEVTBG73SR5qrOYzVf9fsY5/kUGIi/HnAy942hofIPx6XEe+R6t30DeV1X Glf91rd9NnLfAD8nOJz8nwrPJIdMyc7Qe1tcy0Fmcvg9EY53mFqOrxHU+U8a S63v1cSxBdbCZ6VRLiqfuiqX5ED3tZUf7tfIfksjnPyfjvtLuL8IL0MaVEyJ NCltd1mvXaEzdPS1E3SAATAQBsPLJWFDO2AX7IY9yWFj3/i3bG1vctiF7GGn 3eRnOxTDV7ANCuzna8uUjE2wERbCJzCaON+AUTASNuD2MDwGj8BSWA7rYAY8 oTzZj/w+Tph+JfGOkPYVZBvr4QvbyMjyjBfLkZY6tPu2o/m2w7lO61anfZvf E1ujeuR3tmTLoyTHNn0acbUriTO7p3JtC7fBrXCLrzpfqXOW+j3S4cfBWNu1 7HuS5+ifO4/K23Q/G2m/k5wGpWUaTLEe1rsObPSzNZaj8LNc51TXZjvc265D qkunOu06d3xOSeRppONV3fslI8agGnv+CJVSwp5kV+nW03e2C+lL/cZHcEJW 9B8nQmOopTVT+CQt+hf1M8dnRZurtnclfMR9edyqZUW/of7i49Lwo2eLPW4d 73Gtxq/fk6ZdsBO+g6aEuUDjADgHFpZGGy8ZknUNbq3hPPx+rLEM963gfe7n ZsZVv+VPzxWv0qZ3NPWe4LeE25IR8Sq+tbAcPoHPoTbh6ngMrbF0kvpF9Z88 +ysj+kH1hyfBGVkhY6d1LF0/4/Zd7fyzcBd9wt3pMY/Q/EH3mdxnZIbbWfjZ RnlsVVuUFXEorr/hT7gVXX/Ls2/gbPe76n+bWj8ql9pOq8onReONjEi3ZGVQ X55g3HewNm1fesiQLMWpuE+Hk+EUOC0rxsYas690X/qt2ye1U9/ARfi5GK6G NlmhN+lvIfKWuM9T37cQNhjdfwwrNRfCxn6Gn+CgbU62l+f2JVXvLOtdZX1/ LSXOGGv+oDRpLeALy5Ss9RnRZqqtvRvugsfJ4/1wHzyWHt8UUZ+gvuA72Af7 YRfsLI02UG1jDuQ6HXvcNur3e56Pzfd4dZfnX3Mdfrb7+xWwGPL1bTpIQJav +p3q/EjPP3P9KSX0fZL1f7rtaaH1J1kLYJHniO9btx9bn3r2kcYntmfZ9ddO xybfS8alLi+V2yXwkvoy9FIFKkMhvwsgF/LUx/g+3+nP82+55zgPKpu/0c0/ yVGnVcdUt/Qu7nJsbR08DU+VRVu83/2K2prquNWDulCjLOYtvb2X9ArMJk2z /E7V+77/BN6Fmenx7tRH6eFPzz/281l2O5G0/EN9T9L4XW0ObovgHct41/cz LO+XBPHiL0FasvVOMm5b4WvYA6W4lUEFKF8W6ZrlsHPsd4fXTr522hY4XUqP 0nGE9DRyerY7jOLZZjkzfAZO8k7Gz9GSyMcJpTEPeAPegumwX+NNpVtjWfgV Dtn9iP1NhGegt8fwOxyn4q7r+ZvmcXUyQneStdi62eN8fA974Tl4Hp6GnpYr +RM0//QYX2P9Rz3+PWJ5n1gHC5zGI/49FW6A62Eg9IFp8AI86+s0+9PzBqSx YUakW+n9vST0Iz2dUhpn1XfDrvQ4i14RKkF1qAklqpOQB8UZsc6k9aYS/74Y GU3hfLhAdoBbCiRDVkakQWltCQPgNPwcDyfBsQ6n8OfA2aUxD9Z8uAgKtXdK nfsHqmivFNJ0JgEqQiXo63y/CCNgkHUw0PFJjs7B51qe4jkPznV8Out5FH5L jzOfu/z7d+ujBJstLAs7lv02w20IDINL08MuZZ8/QxPuq5LnalAFKmdEOV8L k13e0v1vJVHHZKOZ6mugvPrGjP9fhoOcp4dhqONU3PJXESpAGaRrDmqdp1nv kpdp/edCqf3peb/00Jl0NRxeg5fhVXglPeTWzIh8VMqItJ8HTZ2Ha3DrDJ2g FbSFZnAJ3AId06PP7gpd4DZolx7uXXzfGTrZ7awcxqnooRWcmRPud1uGng+h rRyqeQP3k9IiLU3gJDgXWhCuJTSDqy3nGtlTTsi7gDSdCCdobARXZ8S69zVO /+VwBVwJzZ2Xy9TuO09NnX/Fdb6uuF0ou4dz7K+lZUr2HfhpD7dDB2gFbeBG uMn1XPX9yfToa3V9Kj363MfdTqjd6ZUe7UUPeBAugYv97BnX+15O1x2OS+kr g3KySzgRHnB4yeluOQ/ZrmRPbV0mKqdbXVfbON0tnY/29ner9X6n41TcjzhP SrvGC/c5Lw84vqusF+m6g/V8mfXc3Lq8KCPKqel/ykB21S4jdNDLNivb7Z8e bWpP/+5lXTxrP90J0y0j9ggegJtcxs0t7xXbenc/b+e4boXbbMMqd6Vb3z27 3W6617fQbrTMdvbfynWho/P3P4fVvdZmCmgzityG5JdFPG0t83bHdal1dJXT rfRrDUxrYXmEyYQMSIGrbf+yyWtdVmerHtnGbvDvNi7L1qoj6RHuOtvQJS57 tV/NXH8uh0vhYeJ8MCP2CLRXoH79KO5/lUb/rj0D7R1cB20yoh1U23Q3960z 4l7t1Wv/cdNV6+RaH+/mcWZHuLc05FxvnUq3ajfVfp7r+pWPn4LSWNvWfoTW 9sakR5+uvr2i+wP1E+of9N6Y3h97H2b5Ohtm+Lfeq9L7VTXJyzH6dpfXl7XO 3BdmwnvZ4a7fDbVmqXVerXVqXZ40PAt9oU9prOPqeUOv587z+pvW4abDaHgb RsEIOJY4a8EfJdEX9yDMI/CY1iAzIp1K7zyH70cc/UsjXsWndGsMWM3pH2HZ I2E4HIdbbcehuB5GbkdoDw/BCp/H2egzP5uz4ryZzp3p3dGvsuJ82hY/W5AV 5yO3+lkyMj8pCruUPUqWvpWrbw3rjI/moj2cF83r7uf+gcxw07NJ5GGy5yLa S2iaHe+X6T2z5tmxz70T+mfFt+falMb4UuPMn7V3Xxr9hfqNU3IiT8rb3fBg ZnxjW9/ZHIWfMbAHGXthKezOCj0/Yl3I/wTrTd/U0re1dEb0E1iSHd9zutH7 C9d6/VFxad37LsepM3tbsuMbWjrf2oA0DSyNNXGtjc/H7WP4DFZBHY/fVYYq y5fx17M03jPT+2U6d7kDvsqOM4Ff+l5xKK7FsBE2ae02O+YBKu/jPB/Quntv y5TsFl4/bQlXeh1f6/lnwalar0XGGNupbElpHwwvOA9DYRg0yYl36PSe65sw LTvecW2MjG7wOBybGe5v2uYl8xitZUPvzFgrGG5bnWSdN8e9GVwKvVzPJK+x 69tkp0/pHKt1a9uz7PpReNLtSAd4ojTq9otFoWfpd5P1Nd/6f9zpOcbp/czl swyWutw/sZ4Xecypsaf2ZLSP8gM2tC8r1imetZ0+nxXfSJS91sNP/ez4ToK+ j6C6OxKGuw5nZ8c7g3pXMMdjU/3O9hi1r9sXlYNsqTZuNaVHtUVQizQ3gOpe 826AWyPZVXb4/YU0/Aq/wx9ZsQ+k/aCmrl+n2n8Dxz8WP3lcz8yOvbgcP8uA zOyoS/p27ejSqFOym3PgTNvPcOdvBLyucXV26EB51/dNtM+n/Trt22m/b7T7 JPVFo9IjnXNhjtObnx3pUbqeyop8K/+11HZmx7zhTLWDnj+84f5gtOVlWTfV vB8w0mMGjRU03r3efdvl7nN+9XqG1jUOW67kaw1Wa7G617i+lt0yrJ/a/5aH y7ue03eG552a42ius9Ttz0FYAg3cLqvt1/xrPm4fwjz4ICvWtY7LjD0NrW+p XdW33Te4fa2KW2WoBFWgODPWrLTnqb1PneVcnRXtvNr3atZHVfvXM33TfqX9 ZDu+Wranipmxn641kwqZ0ffWL4t9ZvXBysch+NT5eas02nS15doP1lmlA27D 1ZZLhmRpHeZIRuzD63sB+m6A9uMvdf2/BC52PlK89qb1O/mR39v0zmFplN2D HrOrDOfYfmZrDdN61Jn/xdbnbOt3vp+rHVN7pn5E/UcRcZVaj9JfYWa46V77 xyvdv62yvipZ/9KT8nYmujkLToDjy6Jv0zfctO420X3QKPfh6st1rkHnGybC lKzYp1aeldd8X7V2WZAZvzd6bfsN7xFoXqP5jfpF9YdLy+IbpLnlSDOcqn0A poD74EytE5bEmFNjzYM6J6pvseF+kWRBEzgFzoDTtZ7O87VJIUOyrkJ2c2ih sWdZfNdL3/dqCK2guDTi2AsHoBy/SzWPhzK1d6UxrtNYWX4l60poBS3LYt/i IXjQexzicXjU+x2V8ZNeFulQ/N+TrhOTIw/KyyjSMALGwhg4C5pCDnU9Ezri 737oBvf4+kByfOfuXrgdOsDd0A7uTI4w9zhdD/m+q9PYHu5wOPlvqnVY/Z8P aCW9l0SelVfpo7q/p1rP32O9y3FIrvKufcXqUKc09hf3WJe79c2TkkjrkOT4 Jp/SvBO37+Bb+L4k9ny19ys3PVMan7QOpcsduK2HhdpfgC7Oq9KhvaP5uH1Y Eu9I6N0i5fMpy5AsldM1cL7Lq8Tlq3z+AE/jpzf0gp4wF7d58AHMKYl9Ru0N DoC2ybEWeCFc4jVByUrYTiRTe3bau3sBBmk92c/lT7b1gp+rHDonx3ft9H27 q2GlvoXo8lYZ3gqrdF4+Lb4Tre9Dy59+y13+z3f+WrseVyuNMzA6+1K1NOJ6 yWXe3nlQXp6z/Itc7xs7XzXKU97YQXId2oSkSGN720on2KTv22KXv3LdmBZl 0cE2oTJpQ5gb4Ca4MSm+3ZlJvf6T60dlofN9rmv74W999xbSkZkNVxLmKtti S32yND2+ea1vwer70bIt1deDtrFn8NPP32h8Fi6GS3yuUOcJe0BH6AAPwCGd ubatyf70jWvJVzzJkJYe38CWu353kg6gO9yfFOns4W+vKr0dLF9+5Ffput1z bcUjPVwGba2PLtAV7oa77K7nl8NtcDP8D26FW5Liu0HpPrev8/otrB/p6Wot laHbXeh1GWwsC71KR3us366U53jKMhdIblJz60d6uiIp0qi0qh7utE4PWkeH rCPV1T/h15LYN9D6qtZZtX+gswmVSuOMgc4aVPD6jdZxysMTxPGk41V8M7V3 iHsRvMX9fdabdPsUPA29k8Jdv9u5vnex/U0hDbVL41zE5JJot9R+/QS9fI5U 50lbWD8Hvdeis0wHoE9S2IxspW9SfAdL80HNC/U9rMqlcQZNZ8+qcP8cfgbA q/BKUqyTHrYufoGhuA1Lim+qDE6KefFvXqPWGEnf5d0O27QXUhZtic4bPO16 2AO3zmXxbbOby6Ju/YVejqRFHVM6VJ9Vr5WeI25XD3vN9n7bZj/n6zvCHHUd VV29zWtDqjNq0+e4bZvqd8m0j6z9ZO3ja/9+Cc8+cRuotlB7uzpfswZWwGpY WhLt7mfQ0d/r1ne728IC3D62n9X/CSO/yy1nwX+ebSLPX8AGWCsbxm0IfAmb 4Vlk9oNn4N60ONOgsw3vwwb3Dbqucx+hfcX7ZVfwh2yH6wB9Dxl6poVcyX8J tsDluJ0Kp0PztLAV7c8dss2cjds57pfPhMWE2V4S/ZL6ox/wsx/2wO6UkCN5 J8Npjre3vkfu+O+Bp+BJ6OKrvsFf27+VLp3heNnpk9wTcT8DdqXEWcnNToPO TF5B/Z5A3c6EvRqb4O+KtMiX8qOzM+O4XugzNHp2blrkS37GEX4KYQvrxLkK fYdd32Of7u9bL+R5OdyL6vzfv6L4vz097e31hCd1ptDlo3J6Hbri9zX87qsd +86d0uJ757IR2cpdPH+d5z/w/DGfS3wFHvD5xMXEN5HnxXUiXo0LNT7Ut+kr cD8aGSM9ZtLY6V38v4HfFBhTJ+zkKetZ9jLI5S876JwW+5bavxyfFmeN5paP cGnwLfm9CvcmaVGm++xvnPUo/2Mdd573Qx9BXP3k6FseTgrdPA/PWUeXlo9y yUD+6UkRVukv9N7qs+RpJM9+Qh/6nMO7/r74pfhpBt3x80BK5FXjQ92/kRZ6 kNvDyB9L+Dz4TWsppKUONIZGsAwb2VoS9Vr1+U/i+AUOq61Kij1u7X0nIDs5 9uC1B54F+clRj5d5jPXvWGuZZakt+QsZR+E3+Bu2JkVYydqi9jIpzpro7NKR pBinfeiwan90BkXP5e/XpPAjvzp79bvk0mb9Xhrr0Fp/Vpuvtl9n4caq/8ZP ocaJXNdAUXKcWSpw+le6DVvh9udTeMdtnHRy2On/y/rId96VD8lc5mfK2wqV D2HGQF+YWRJxFzku+c+2LjcnRf5LuC+Fcho7JkcbWddnOnS2I8v6zrXO/nB8 indjUuRReX1LbSFMcr831umoRphKUBGqJscZQJ05qwCVbQfV/Oz45Ggz1Hao HdMZefU7+rbm/9z/bHVb+qn1U8HydG7tmORo27faBmQby62XejyrmxznbFZa 1/omej3bY20/r2h9lDhNqmeqb2rj1NbVdzp7eLy23H2HvsMuebs1JoKz8HN2 cjyTXWrsLz96r0Pvd9wKt6g9pH7s55pN/bjaeVBedPauuutIY8epuBc6/1vd j70Ns+A56A/nJsc7LEqH4te8U/NPzTU1X9W8TvM7zUs1H1U6lV7N9TRfVV/f viy+ayrd90TmM45H8jWu0Fjrr5IYX7yMXoakRTur9lXz2rW2jS+gpuw7Kd6p OYb7FujwBrhObT2cXy6+Gapvhdbm/ibcrrefG1MijMIqT8fapsba1mTjktMG rrQ89at3wFyYA9fgdlVKvBfQ2mclL4NmPjN5o+NSuq6Fyx2/0tFEZ5CIo0kx uuR6ZknIujol3jGQzA81pkiLM2k6m1aCn1IoB2VwfQXGSJTtIdpPbpM2E2YL fAmbNPYjzCG157AvLcJpPKpxqcJXgxpQXbYO32Avo5GXBP3KIs0tnEfl9ZOy +H8p6pO0dvG+9fABfJwW39WsZln6huYr3v/VPvAw6+VX7OBocuhijnU5zzKu IFxzjUvgMutEurkELrV7a2jl5/p28MVcm5XEN4TvRObtKXGWVedjlyJzUVqc 2dPZvSdxewx6wENwRkmUgeKRnD64PaN+CfrCbSnx7fe2aq+gNzwNPaEXPGF5 kvuU+kPZiN31e4nGTGmhJ+mnIfqdpLkIrFH/iJ+LbTOynab+LfdLUuLbVGc4 bcprE2z4knJRx/Uu18VO+6XWgdz1/OJy0QaoDFQW5Uvie6ZXq47IzuDKkrDR ZrZL2WMDwjUqF2NSjU3PKBfzV81j9b8oFE5l1NLhq2F0GlKUkZ/G+HuPPM6C KTA1Lf4nx9se+2fzfA/5Pw3/B7DXXrgdxs8vcBAOQGvkDUPWLp6/wrUlv0fg 71d+NyHcXNUJ+EC2A41IQ1U4ARrCG7hN0jgFRvuq8lS5jlEdrBBy99T+v6NJ SXfj1hk6uYwldz58ZPmnl4T+E/6G12aNodNibqH5/8mqv1AfGsAG3L6AdbDe V/3eAWvgUuIfRfy/E/8Y8tXH7Z/awafc5jxrNz3rUhLnmlVmKjt9W+RJro+V xDdG1I+qP9XalL73/prHkt3L4v9L7HB6le7vYXZK6FB5e182RnqGk54jtUPP a5xW+d0OF/B8HM/z4ZbkiFdnlG/yN070Hslq+Cot3nFp6Hcrda5YZ3P1fyH1 /yGf11gyJeZ0R1zmKvtb9H3CPHTP9VbYrrVfwn/DdUdWnAvd5rbsK1/Vtm30 73ecjwUp8V7Zfrd3h21PG+1/JaxIiXP5Op9/sstrNW6fw2f2U89l2cj2pP8h s9Z+VlvWFt/Lv4y/PnPNVK7/JMWYWX265kV7U6JMdjiM2ua5+P1Q+/vo+oP0 kKG4Vzl9q20n261T6W1gStj1qJRY49Bax6ewvizkSv4ap0lnW791vIpPczKN KzR32pkSZ8jv5fpwSrxv8JHt/Xv4LiXeDfrcZaqy3WaZm637KhWinpfDHmon xZzqQrdbaq9eT471Tq17vpYca3/X+WyA1ghPJ2xdOEDa95XFuaBjYXpanA/S //KpUi7WDNRu6Cy/ztGPK4l5r/4PziyvpX0ovF6kdaP3kqIfU392IVxQEnMd naddnhZzmc9wWg1fwvakeO9f77qnkLZkeDAl5hiad6iPkL9NsM3+5ScVciGn NOJpCuc7vgzcsiAT0ktjTVVrq69bHxfZr8YdGm8MKol9KuVReT1F7Z3mMii3 ksd63yTFurnGUG9q7oW+8tOjrdVaiNastFZ12Py7bqWx1DuEmQFTYLLH9Fut A80X2tAev652mPi4TerAn9n8/oPfDfg9OinW6brBqKTYl9jgsdd+y5X857w+ JD2mWUfS1TTcJsHEpPiW6LfOzy6PIae4v3gClqWFP60pDbb/kY5XcSgv5dHP Q6RvN+k7MynsRvZzHLyTFmtHWk/92+3Maud3i8tc627Sn/So9Te5b3YZ6/n5 Ls+aLqONnossdZ7buq+4KyXGA/qmi77Dcl5JfOdR3wHQeE5jCn0PQO9tdEuJ Oqe614Fr+5QYo2isUt/vmqut1PsLklXd3waQzKWOX3MMzTXk1tjfGlDf9KnH Nx96fNgfmYNTYpyi8YnGMXLrlxLjmeso3xaql9jYtckxdnk8Jexe9l6WE3Ui 2fad67LMsD3rbHOiXMzxNddXnpUmpUX9o/J1R0q8V6Qx2O/EN5m4SqFOuagb 2pPMdx3paH1IL/rH6ypHrY9qnVTlKb1pPPWI26wTrdszHKfGZvr/POrH27pc VD4dLa+NzzqpHdJeRA/X7R+TY/z3/wBAXUk2 "]], Polygon3DBox[CompressedData[" 1:eJxN3HW4FVW4x/HNSU4nLQ2bDgFBsGiURgFRQkK6Q6VbpFu6uyUVCxGUlBDE ABVJKZHuuN+f73ufe//4PDNnYs3qWbNm9snZsuvrXUICgcCK0EAgnOW9YCAw J10gcAoV0gcCi1hejg0EruAiLuAS1nLwSlTAW1iNUzEWxjTCCGP5F38fB0EH prJN1znB3z/gAPZjB77HFPanYf/vMXaMjn2cSnxwH0/wCM2jA4FqeBVN8A56 xgUCPdABXdAdndEJTdHR910gLWfxFAHS9oTlknyBwDwiPQdvE4FfiMfbHnZD rIsifSy7s783quIDdNU6x7/OsjGqsb4naOHM1Tb+/jVoYd7iOjdxF3dwG9U4 ZjpqRBAe+qJUZCBQDLtJ/PcoyXpN4l0XVXCKfD+BTzhvPdZhOIaiLMrgeZTG czhIPh7GIez0/P6TPDyHG7iOa6hE+iqjCl5GddzhOveQhuvWQT1EIhwRCEUI 8pOPBZAPKeTlVdLWgu3t0BbN8Hachamwy+M1L8OMbE/FM3FWv1TPPg5afVG9 Uf1RPVJdW4MPMQKr0IJ4t8RN1McsNPX6oPJrjBaogVqoh/pYTXk+S76WwHry eAOKs36b684m7qe97qsNPPC6pzr4EHdRg2tX9zxWXtdCf+LfDwPQCwOxlfMf YwW+whPCb8iyLmqiHl7BeI6diCkYg8n4l3Q/wA3cxD9I5NgkVEF6pCLIsXlR GEVRCa+iVpzVm9/Jz79UXzh/FdaivMo01o5Rudb2+qXjF3u6lL4GWIAVaIg6 qI9leMz5j2KtTtTyay4m7BfZ9gIqYBZ/v8XyNfZVU5pYfxPjOL8eqtAujpEn b6WxtCrNTxHw+Gk9lGUIwvBE+cDxvUl3VupaNgxLZ3U8idPmsW9xPqvvlQm/ EmZiCiajFEp6OuqiNr7k/EdBK5/P8YXKxsu1jIdREfODdo2D3m8lBixNygel /TrLq2hEWiaEWxqVrp85by/H78YFXMTfyifi/hxK4RW8jEnhdq7C+Inz3kxj +fS69zO7g5ZnmYljLa9DtRGGqqiEoqq3KdRjFCc+xVAURRDEVM+PWZiG2SjO OS+gAYZz3lC84XnUwOvCa3gJL3pfrz6/PEbGWrkq7dfQG3GxVm7XSOcj3PF6 twYvsb0qqqAyae7DNfupbyRtMym7d8jLxt5fNPO+W/WnOh7GWn4r39UWUpCc zu4L8Sz/YN9JFGB/IbyAW/wdYHmb5Rn8jXCOjUAk0nr+FWJ7YeT3vCoYa324 ykTl8FvQ+vMmhNUSzeOsj1M873PsA9xQnfU+M4Xt//h9Mon15DhLu9rHK2qT 6gtjra94H++ilfcbecmXnAhBHuTGlXTWr6Ylj/7R/Tidtcvlfg9YqDoabtfR 9T5SO0Oi4smxbRBOOCXwLKrFWt/ywPsDlcdDjrmPGK6xFA9YL8D+wiiEgsgf Y3ms+1Bpwi4YZ/l9m+0Pcc/L/CqGksbhuOV92PUYu2er72+EN/3+qj5nEZai nN+3KsZZ36b+rALKowbuxtp9SX2P6oPu693Q1e/7usd3iudvdENvdIi3e90t XMJtv+/VZ3s91MUbeB3nuQffwU3cwC38QNnXpeyrsL+qzmH9EtsvIyPVayn7 NZwox77a7DsQtGN07FXicw03cUP9BI5yv9mOi5x/AX9G/DcUCeyNsHAV1mLC eKA6j0d4or4GZ3SfVL3GRZzHVc75B1c8TgpjdpzVVbWl0sRjFsuKtOvyqIy8 yIM5bJ+B6XF2jo6LiLfwdZ20rIchEQmIw7fkezzLPzzuf+EkjuMn5RcO4DCO gsv8t34QyawvIG2F4q1cv0dG1gtiN/t34Xt8iS8wl/3tvc3N9nheJMC/cVcB a1zI8gHHPkQX6k5H3GN9T4TlqfJ2Gdecns/icCjiv9MCC4MWn190f0QJ4lAE JXGb6xxUWcVZGarc7sZZmdzHPdzBe4TVDf3QAx1RNt7GnhqPHsFhPCWO93EZ /6RYnPdT9w9iG/biGwzl/EFoSv35nfitJM6VCa8ZXoi3OlZR9ZVj6vp1B6A/ pnN+btKznvNysZzB333xIUZjDEZhIMcOQTOucYJjm7AcTRzHYho2aQzGcrDH RXH6EMMirC7/i+fjLd+UVztZ7tB9hvXnUAo7uM52fIudnrY/cTLa+h7dA9T/ baUgtuETbMCmVCt3lf9X+ByfRVhchmOUx11pUH7UIe77g9bulDcj2T4W4zAa I/A11xwWbf3RbuzCv0pLhLWdvV5XVrH9C2zAcizF5/gMWzz/tmIyx07EBEzC eLxBedZHPdTAaylW9w97/V9EHBfkszSdxm/4FfuVFuJdg/jv45haLAfw96tU zI6c2AHtFF6yXeN1tEBztMFhzmnAOYs4Z7bqBesldO9HVqTgGRRBQZREZmTC GcI8jQtoyd9nk62+6llqndf9H1GF7d3Z3zXF4lSJv39g+yGv20f8OMVb8f+R OL3OciZ/v+v9sPrj7uiC1p4GpaUBWmEX5+dmX6Z46w/UL6j/VJ/7Dip5vR/D saMwAAMxGoMwGEN8W3/MwCRMS7Hx0FxMwHiMw0SM9WN07ExM922Kc0u0Qgs0 RxO2N0ZNL9/aKZY+pfNg0PJd+d8ObdHGz22NYR6+rjPLx1cfe9wmeVwm46Vk K+u26IwXku26dX1be3RCN3Tx8iiKfMoHrjMK4zBW+YSJGI8Jvm8k9gatrqnO DUNN1l/m/BdVN7heQbzE+lT2TcFQTPbw/qJt/orf/PnxD/xC/d2JT3EMP3vd 1r3gd5zwev4zxx7GQXRE91S7R3yLb7xPVt/8NtdphLfwJhpiHfFZgwKckx+F 1F+Qjpy0q5nR1s+pv9N4cSmWxdm4QGPH4ZxfnzQeClpalebfPe56Dj6JLuiM U6mWRu3TMYW8zRRAfs/nIDIgI7L7PXSljx9WYCmW635J35ZbzwZ6/kFZtCfM Dh62rtkM4+LsuW85VmI1shBmqrfdrN5WlS49S7eJs755CX7i/GMqA5zAoVQb Cy3z/Qu45vxYu5cM8j5Tff1x8mIL8pNnk8i7iSgQsD7uU4xAf79XHOJZ+TKu 4DH2Rdn9XuOWXjwzv4eeKMCx+VEMz6EkjhLvY/gMW7AbtTi2np61Gf98EmLP 4HWJYyk8p2dS1MGttNwvudZdHMExnOT833Acv+Mv1OH82pEWrsLSc/0vftwp nMbPKVYXNUZRXP9meQ5L2D4P87FMeZxi6emHPuiL97GZ7Zuw0dOxASuwKMX2 bfVzM5LmnKqLyIsM0TbG1v3upN97NAZWfkxNsetv9fCGk75M0RaGzpvJ39lY piAdsiMrVqm++fUV5+Xq+4hj9UibO9J80XDkZRCZW881KIxnMIJjR6ZYe1qP T9QHE7cGqK9nec/7ol6OKs/iKKI0EWZOHCHffkQO1qd4+f7k5XEixbZrv8Zy 25CJvwdy/mD0wxAMwEjiMxqj8C91cR73xtc1j4cu6IUGKMj+BOp1WiShSDp7 tmnkcwl6/hyBrGzPhuzI4enV9fr4GEj1uTfaoT06+HxXxWh7Zi6Wzp6DZ/m9 Qn3ccdzx5wY9P2T2cm3n570fbc+Rep7MgkyaV0y19jMSH3l6dd0cXoZZ0BFt kQcl0Blt0BppFSZiEI0o1QfyMDMy4q6eD5THxPEIvsNOHFbd1ZwLWqEtemIV +ZrI8dHQ1MqMoK3Hapv6z6Btn+b3JLWdX1Ns/qAuB/RANy+XOho7EuYQDMYg DNBzvM89pPN5qYoo73MK5TSH7PNcKZE2Ptc4PYT15Eh7/u+L/rgUtLmAEV6u mkvohImae+bap3AYP+NytI3Z12G15qKxxtuZxpn7sMfHelu43iZsRAcfK29U 3mCpn6sw1A8sVJ9OGa72tqVjVmI55mC2rsn5K7DBw92Mn/yaurae7Y9iCdsX q5/xudqlEXbuWo01fd+iCIufxvBdfJ/Cm851PtDzrZepyjYX8Vrg4xiNVXKm 2lh9CzZjUaz1+XM4fy7m+Vh4VoTt+9TTorQvjLX6ORbjMcjb5WbKIA/1YXK0 3Rt0j5jAkmoU+DRo9wndLzYE7VlDzxw6VuesZLla6cZCrEAocQxDorffCEwh PjOwEFN9/Kwx9ydYj41YhwWYh/ke3txoS4PSuh0rvFwe676can2jyi0v69mQ FdmRAxlTrb2o3exkfQ++xxnCPIsfcADnkEltHVnwjJ97n+0P8BCPcC/a2sFQ fI/DOKTnIML/Ftu9XX6DdtTztmiD1ngX30Xb85HqzTGciLZnND0PXsLFaHvW +DPW5nBP+NyW5rg2kvd5ye+r7P8X/BnYFLQyUllpu/Yf8vaidnPa09aUa9/i vnsVTVhvHGnr/6Il660ibXtmOoV0iEM8MsZYfV6OZV7/VXeXEJ892IXdmIdU P0/np0cKsiEnsiMXnkEQ+ZDD9+XFQc4/gF+xDz/jOI7iCBZ7uZ+Ltfm80ziP s0hJtedrPWc/1Dgt1fo49XXxiFJ9Ddq7k7F6d+XpUbvU/oTI/6aeA7OCduxZ zj+aauOsH1VXUC+UfhB1UQOv4T3C6onB6Obvhd5nnNUak1GGvC2FwiiKYnqv o7EPMiEzsiAdUlAzgXEM1/+aeJRgWYu/twVtm/bVRknWZ7OciY8xHbMwERNQ A/UwHm9gEGPSwZjk26Zhqp87BZORn2vnRh7kQxAFUBCFkNf33yZNj3AD1/Ru C7n8mhM83HUJ9kyqZ9OjxL0hy0/YlovzH7P+BNlZz4ZNbN+AtdiI9fiGc+ZT oeskWPqVD294mqrjddRFUeUFiusYVENGz8dUZEB6JCMc0QjBU67fM4znELRC a/RAJc6viAoJNq+r+caurHdCR3RDF3RGT/RAd9/Xi/PfQ1u862GPYvu4BHtX pndmoz2ez6Jygl2vCh6QV695upS+3Ljr+XsdD/WOBOnjLM1KZ9UEe2/2EstX 8LKHq7y4r3cixD0Hcioder+ieUucw3lcQRGOfR5lUBaFccfLVNe/j3voS1p6 o5+nT+kcpnMpl52UVWmWg/l7B8cuxFzsxLeaO8devRvV3ICexfTeh/T+rDkk /IqfcJq2dBZn8AdhnmL5I9vP0RibRdu7vcP8PYBrFSaM/AiiH3//qec6zU3i G5zwsI/E2zlH8Zvv/wMnsR3bcBynouxaRzxeU/05ejU2YWO8PWPrWXgStvjz 9A/Yr/kKzYNhH7IQn2PKM2TSe3XSco3w/8XpKLuWrvkM+wamsWN1zsqgPWf9 4/sVD+VTIb0PYv++gKVZaT+suTtM1/Oc5+kHlMmAMCsrlc/7+JrtX2ITdnl5 DGR7f/TxY3WO6k4BjPD6r7o5nO0fYQHlUEjljX1ejirP/XonhR3EuwxxG8I5 Q/Ec6/1ZtkNb9EZfDEQp9m0P2jE6dhXnr8FGbMFmxTFox+l41SnVrZ/Uj6Sx 6x/EEfUnfu5arMe6NNZOy3L8LsJ4KWDt9LugbdM+teVyrH/Ptjn5rA3rGB07 3+ut6u8iLMCHnm6lvyAGYYPH5Re93/frtiGMd5FJz+9ozfrNNFYG6hfU16gd v8VzbQ7kRGO8jXB0QEu0xY5IWzZHO9TELo0dWOZHVmRHR7RHKzTz8xVOUw+3 Cd75f/ua+d8tPOzxhDkx0uLU1MNRnN5FQRTwMLqjB97He+iFKdSJqbiFk+Tl jVDrF9qgBZp5HziV8fxETEIPLE5ncWji4StNbTAhmfhgHDIgFV3Z3hPdPA5d 8AyyIBsyeF4EObYA8iMf8mBnpOWj8u17jbdQh+1F/LjqqK35zyT6QtRiPQsy oRrxHkh6PtL9nfVXMZbzK+pbDAzDGJTj2LJ4EeXxip+7jvM+waBQC6eGX6+8 H6t5vRFsD+HYGESpfoRaOvImW1wqoCYq4grx+wcLWJ+L4ijkc3WasyuRbGHc I4yuGo+EWnibiON0PadjMlYgxfM3CZcIM4HlZZb/IpH15GTbljuR+CAv8iBX op2r/emQ3suoPPlfEddCbFz5Mutj2T4GI9ECrTCH+E3DdHysehFmdTirl2Mq MiMvElAc+VS2KIpiSPT9eTCcMD/EWo15MT5g9Un1tpDXE7WV+eTD7FD7tmkV vkZjv77iMQWTdd/n2DK4HmJpUZoaohHqoB7eVLuiXTfCm+qX8GqC1S/VM7XT Pfp2B0VYL4xc3t6nsS2L39vr+Vgps4/lNKZriuZokWBxVp+7EHM8/hoDaSz0 Dpr58WmIZ6jm0Yj/aqxES89v5XtTzR/jZqi1V7XRP2mrs+j3+hKnwRiIQeiD D7x9T1R7VP/g7V77hmCo9wFTCXOyt9WJmIL5mIfKagNeT9/z4ydhsofbydtx L7/eh34t7euH/upbMIPzp2E2PvZrbNM8l5eJyuYL/u7I9vbogLZog4/Y19mv NRwj0DutpbmPp0l9Sm+1Q69Hqk/9MMCX+nsSdWqY6jLHjsI41W2M1jp5OQEf e94qj8d43/AhhmA0Zuq9VIiNgXSfnoZP/ZujVViJLZhN+1qCxZiPWajE9Sui HhrgTV/q79dRX2NiJHDsberDDVxHWv5egLkejsKbh0z6dkRjDWREBt1D2b4W G7AJG7Eac/z8zViDUngWJVAcxbAKHfG+n6PjPsBMzPBt73tY+nt6oqVTcZql uSjNP+mZTPNP6JNo8Vnv4byXaGWgtj0RUzQvgexsX+fx1jm90Z3tHXWPRzd0 1XeMuIG7eID7uIXbuIObvn+ij+cukHfncB57CXMHvsVWZMVgDERP9MJYnOH8 8zigb4NwCtdwGf/oGR3XVV4cWw91EYFwXOI6p3FGfYjGzhrDs70cXsBLeDHR wlBYP2NPwMaCizWO0jhGYx184/3gUr1rxFzPsxOcvw3f4Dh+w2f+t7Z/hS0e l53YhYO4iBUak2JVwMprud6je50b5tdWHA5rrsHTr3z4ARs0ngpYuYzFGC+/ iR63OViCX7nOL8rvBHv+uU85LMB8fM7fn7H8VON2PRNiG7bja7xH/e2u5ziM xSyMw1AM8W1jfIw8FR9jhrfBCZiIrEoffeLCfHaN7xKsHvyAPdCHXolIRmY8 YVsOjSvT2NhdY/h1nD9K75YwHKMx0tcVlxH4SGNJv56u2wHZWF/NuRnVNnV/ RRLSJ9o+HdNez8msrwna9Z9BDu33uGi/4qI4rQ3asfvYvh9D4u25X8/Je+Pt +VrP2V/iC2zFQrZPw+YEe+4+hANeB1QX0iZYm+oSsOeu/vjA25iWfdVu0RvD ff09tEUPNOT8+l5uKuefE6zsZ2OB15F5GILB6IkR+NDrySKv6wv9nK5e5t3Q A13S2DyL5luaowVa+bNXP/V3qrdBew6rwN8V1R/jirfRdhq7o62f+04aG/fk Rz4URiH1n8R7boLVyTkJNteyz5/XX/P6u1v3c8Is79fR9dRPr/d3Xeuw2vv9 TwL/15+rTa1Tf8X5d9UG8BAPdC2OHYXRGIaJmstgezpEIRWJCbYtCTmRDXkS 7BviY35/2YPvNJfD9nwIolCCPfNpXHKXOnAH9+Jt7mEIx87CTN2b/LphbA9B BP7luKvohTRqJ7jEeg9cibfjQtHTt9Xl/Bqa20Id1A6xOaNb7LsZb9fXeGi/ v2c85nMCO/ydenv8jfOaD9C7Yc6vHmJzE41YNgyxZ3x973tKcwk4G29p1z12 s+aZPB/2+frGEPsW6ydswyVcxlf4Eju5p3+PXZqHwA6MYPtirMByzMV8LMQC vICy2OXfbyvPd2IHPsPn+Abf+jdgitcabPX9G71+qJ6s9X2K//tkcTH1H0hR v6NnZZ+b2Kq+0vvJBR6/RSH2fP4Sy689TRdwHucQQ17HIVZt3ect5rF9qte1 kZ627/5fnu31tCzFWE/3iyHW16X6eCKn+iuk9/ip//7YvyXQHMpCv1d19vu1 +oBKem7AKxp3o4LmCDn2YrzVKdWth6pHbO+G7uiJrmiNVngXzdAEXWivfX1c 0MfHEZ3Q2dc/8HFJe47tgKZ+bjtUZXtFjb1QBZURg1A0wTtoiDBEIxJRCMFz pLk4Sml+gGiXZnnTx2W38Mjb9npv79u9b1Mf15/zB/n4YgD6aezF9lZogW3Y 4kv9XV19K1qjtq6N0ngerybaOPCm9yd3EiyO/UjfAPTHQM+/8V6W4zABY0Js LHkVV/DY4665W83hHqEvXca98rMEm7O85+3yQrzdu1/j/MohNkesecRXWf+N dnMcLVg/wfLXUJs/+s3Hxmozqqda13hZ99IXvR1dI8zb3kdc9z6nitcR1RXN Q+t61/xe/dTjrLi35u9WaIu38Vai3b80X1iE8wqmsftXd7Z3S7T+th3Lrol2 L1c8ZvqYYTYKJFrdUj1qn2h9dMtEu05jtMG7vk/1TWPjDokWZnlUQAu84mM8 zR+8rO+vkuwZ/3nWF/HMcAA/4RAO4mNMjbRnSM3XTNC7W/rISIQjDvE4RxgP 8QD3cQYhbE+DRzyzhLIMwxLKUM1K27U/g+6twf8+kw48Tmvbtf8m59/GPdzF 9STbdgN38Ai3EMXxMR4fxSstSqXSFlAWL6B0qs0L7Q+zuQA9f7+NCI4tjBdQ ztOzhDCrkz81UBOz+bsI55dEOZRA4VSby9acdi/1d4S1Gfk4Pz/yIheC+IPz T+Gqz3OcSLJn5jVYiy3+/Ky068XPU5ZP0lqeaZvyZQ75szyf7R/K+cuxAqsw HEXxDb7FdhTACIzEEAzDh0n2HZi+BytD/HOn2jvcML0PRzRiEIWtYTbnr3cS n+MzJLA9Tu+qEOvHxVBnYhGKpyqLZPv+Q9+B6B60L8K+2Ugk3rFeNgnIiIUc vyjJ+jjl92LWB2M11mClp3MSxmIcxmAiMnF+Fn2jghzIivlJVlZzMA9zkRJl 19b1MiAdZvo+HTMVM5CGeIcjDtHJlo5N/k1od/ZvZrkRS8iHpZqHRnm/b6Sl P1mdxuaSI/UbNmTlnOzIgdx4BmViaKP+O6Fpqkf8ncCxTwnjCeJYj0d1zbeg Jmr7Oz79IOkRx4SwTEVyqIWj3x01wEwPcxf1ZTf2YS++8vmVNZiD1T6XovmQ DViPAT73ke1/44my6g8QijA8h5IIR17kQ05PYx7M17cBWIh5GI1Mav8eRgQy 4kXyrRyeQ2lUR7zv0zGRyKDy8DoZigg8DWd84W0lnvUD/g7hgeop7mv+EWe9 bDQXtQp7vZxGEp85mI2pGK9y8LKfjCk4gv34Icn26e+jSTY/qbnKi/jd268+ 3H6i+CZbnxfB8nuu9S12YCf2IJZyikZMqJVvFObms3JXWRckqM9o2wcJYx8+ wmEcSLJ+Q9f7O8nmiP9Msvnik/jL+xRtK+f9Vxk8j7Lq0wJ2TV27EOtbg3Y9 bdO+z4N27Z88jbuxF8fQCT2SbJ/+/kX9Hwp7P1MIxZLsN07pKZsM+iYown6n tDbJ2rH6ULXHdapH1POyeBbFEYUr5M0/uIS/cVl1griVwxIfC1RjvRvl1C7V vl1sjrYoxrWKozAKoQjKI9X7JfVPZdEE9VANr6F+hMVB7a4kSnl87nDtW7iB m/hFdYbtFVARlfBKjP2+Ub8P6Uo43dETjfUbM7yNRmgYY9+XdvJvOjt4/Gux vTYikAE1Y+z7S32H2TXVfkfYFL0i7Ddjlfz3X7qGnoP0PDQUVciTSnjH86OZ n9dE14iw33LqN50NPL3qL+5wXiLLRmgYam3kVxzHzzgWZvEvTn34inpRNGBp mRu035kd8N/Laojz2H9nM9C/2Unv35nqe9N4f9ebHc2Iw7tojTZoot+nel5W RRX9Rg5fcI0iehb1/NO1dW5TdEBLNEdO0pIDlVEJL0dYPSiKKr6tQoSF0wT1 0cDLQ+8Z1V8cxA/+HrkS+fUaqqEKKqZaPbyICzhFvM6z/JJlsYCFqbAV185c p1OE/YZtRrj95qKJl4N+E6o+vq++L/E6qrr6LPLgb46/gD/xO85jNGUyCZMx EaNCrQ/5El9hO7ahE9u7oB/6oL/eEXGdURiJEfgQP3LsERzFYRzS+yS2D8AQ P25sjI2NNA7QeEC/u3ue9XPE5xRO4yzOhNvvEdW+MyJzhP3eVL9B1XpWZImw 3+floq0vSLL7+lq/9+ldUTHkRC6919HfPjZ7FkV9LDXW7/NbdK/FpiT7Dk5j rpvE7bZ/V6V6kM2vmwvZkRuZvB8K+L2iJ+l7D73RA90x2NOvfBiKQfiOY2/j CvpiB75h+3ZsU3nTl5aOst9P6neUe7APu/QbM47t5+fp/Mv6rWqM/c51JVZj eYz1bapbqk+nqU+z81m5jcEGP26Tx7UPSnt/qXh/jqX69glfYwvueb25iEu4 j2uE/a/XX/WpV8OsbldHDVT1eq53ggMwGEP8/eAIf1/XCz3U5+r9D9dZiDlY hPkeD8XnC3zl2+Zith83L8Z+cxv0MYHGQBpTlND9nDiGIkR1ijzQj/SPsPgR j/AQv2BGlH17PAuzMT3KvslvimX4BOtQmPSlIDMy4nUEGMMsZdy5HKF6jtAY mrTsRl9vN3fRVN9zKFw0RpMoCyML0iLcw6uFmiiBkqgdZu1uBj5Ab2+DcdTN BMSn2DsMvcvQeKmUj5WCPnZK72PQt9DIr3/Mvy8/il36BkS/DfdrPo8yKIuq 6O7l8wbrlVXWnkcXcMa/7WjKdZrhbTTAmxo3ez5e9G9ArkbZ/GUv5CK83MgZ auOiyRiDwZiIGNIUjb202304rPd7hPkOmqMlWmC72kiUfa+vb/T3RlkcKmmc gDoen9Me17NR9l3NKT9W52ju7QfswW3K8CEe4Q6ueZmqbMNYPmV5Tt8Uq79S u/IxYGS4vZvJib8SrWxUHuM8Pf0xABOwnHBWqM7oPS1WYXFaGz81iLIxs95P NvNnRb23bYomYVYGDVBf9xIvj76cMxqDMRZ9ouy3S5X93eQiLMR03ZP9+wW9 v5umusmx/aMsDJ3XGy1DbM5CcxcPcR/L/F2j3jlOx5pk+wZiqod5G3/Rvmbq /aHeT2OpH9dNYUZZ/e+JdlhG+lZ6Pig/Zqa1tPXy9/idQy2dKvtD+BrbvR78 qfIhv4+zPIbf0SjM+paRoVZnq6jf87K6oN8+4ASac+0W/jyW3ttjY28XXf39 6TtRFp7CeAUN8Ra+TkdZ4UccRmg++4ZO33s08/JpGWblp3J8U/2JP/+8GWbf Vajva+ThXff6dQs3cSPSvmV4jCeh1oeo33jB65eeNx75c8xDyucB8no7yhNq v2s7h99xAqeSbX9Q/a6/N1B7O6v3dzjtdfVkoj3DqC6fwWNEc70IpA23/uZ9 PV+G2zPeDdxMa79V0fNequ7ByI4MyBFuz3Z6xruLe7iT1spF9bWixrmev/o+ Y5LP7YzDrEh7HtPz3gPNNSXas9lwbz/9MBRD8IR9jzT3hTR6NkqyOCueTz0t p/y5LVa/EQ+3sZjGZHqflAWfJ1p+KA/0vchMLPa5J8VrG3kWStrDQu0ZW99p rWH7KqzGskjr+1f6dyazfLv2X/D7ou6PhXTvpH1cJR8uY2Rae79+Xm3f26je +c/BEv/+Rd8TVE22b200R1aQ9OXHs0k25tFzsH4796Ifo2P1e0nlW0nv/3UP vJ9o3xcM8HK4jVNp7beWVf066iv0+0al836I1a8In1NYQT0PC7d7qe6f54LW f+cLtTmICK9/ranv7dEWXdA5ysrmeX+uL4fSSdYWL/i3SfsRQlxe8nqhPq1C mNX57t7Hq69viy6Yw/HzscDLakak1QXViWGpNvbqFWP9re4lgzDQ68090vco 2b7T+QvXNA/pbVz1UXHQPEEaj2dPfx7tqOdKzRthLuao/8J4zYlF2dhB9znd 79QGsiIbMnp7WEcc12IJNuNxpN3rxqba7wG7eTxDfKyi70H1DehZ8rma1+s0 Ho/2eJxo5aoxjvJWbUD/q2eV7h1YhJW6nxNGMRTX8z7yh9qzbkmUQmmUwPN+ TDHfVgY3yZvrnkfKq5P4H04x94A= "]], Polygon3DBox[CompressedData[" 1:eJwt2Hecl8WdAOAfLLC7bGF3KTkViQVQCEZ6kd2l915CDUUBFfspIkWlCQIa VBCB3MXErkn0EKV3UAERCYJgQYmaSxSCBOxi9J65mT+ezzv7e993ynfKO7MX XnXzwJsqZjKZH6jCskqZzHKu43oW8FuKKKYR2WzPymS2MooxDGcEo/k1j8h0 OZ2kO7NE+iHqePdn1OQczqWE2vSnHwUUch535mcybQoyma50pDPT/FbH9QIu YpS/R3KhdDVlFPGMd1eyihdp5t4QBjKYoVxGA3VrSCN+SUc6UM879dkovY6L pC/gQR5iEffxGx6gVF6/4BLKaU4Zb3v3MIc4yGu8QrOamUyNYm1nhPRIulNQ WZypRg2qk89V3hnHdVzNRK4PsdbuhSxgOSsYTal7ZYxPfXRtejeUVVWZOYxk NMP91iPVIaRHhd/oJf2sd37HUzzDczyd0qt4nhd4kZXcquxJ3MZE5nIL9/Ew D7GMR1KdbxK7m7mxUox5XSZyiTZfypVZse33p5iHMXkDs5jLTOaFMZRidQE1 aUJjiqhHfc7hohTbOlxIubzbZcWyGlCL/0jpUIfQ1yu4WLpu5TiGF3NeyjOM gVC30BcLXe9hNpX0fS455FGViuzz3H72sJc3eYOcNObzqUoeGZ507xoe5wke 5b9ZJHb382CIIXek2LbSZ83TWAp92pNuXOad05ziZKrDp3zPWT7jeBqr/0hz eWRWnJvV09yvxucVMpkTvCz9RKinWFRivLJba18rriiIc/Yev02toW60UYcy BjOUCe5dlR+fCXN8OnMYm9aQamnN2ZDa3iLNqcY0pR51C2JMNqS1aBtbWB3m iryuZEx+rFsoayyPyvMPPM1S9X62Ulwruqe5X0N6QFqLzq8Ux0Z72mbFORXm YBiTWe5VTn1UMfQ3FSrFuXltWgPHpr6bkBX76Aau42Zu5Po0R65JdQsxuZar 8+Oa82f+xFrWs4Y52jybmUxlCrNSeh7jmMC93EEzfdWEv6nqKZpKN+YLbT/G UY5wmDOUVDcOySWPAyXGpGsH73blYu+W0ZlO/CPHWGA1n3Ccz/iqKJP5lm/4 Jyf5kp65mUxv+tGfHnThPlaxksnMYSGdrUNdmMh19KUPBRSRTyHVyKO1j1gr bswWZ25lIhvk1bpqJtOSVhSw1m/rcmO6mBKK2OS3JTzMFO7iOF/zqTYc5yj3 8hl/Z7wxPoHWxnZTWtaMYz5LftlUojJVqMDDYvRHfsdLKYarQhyVsZE1vJhi 8jLf82Wqw0/8yA/8SZkv8DxP8hR/pIE2NxCHS10voR5V+NY7X3Em5XmWb3Jj 3/0Pz3OaM/yLsWI6nmtTzIu5mpu5hglUL47fsluYq4xudKEXPZnBTuNoB9tY yxq2U+ZeKYPoT18Ghv5Kz6xmI+tZx5DsOFb3so9h/h7KEG3oFcYLT6v3fzE0 N5a1mU1sZUvKcz9v8CbvsDs986nYneJzNjKFaYxRxjiuZESqc9vs2PZa1CS3 OH5bwzf9Q2W/yk6O8Vc+YFj6tg5lMIMYwmx5zUqxmsnd3MUAZU9KdZjMbfRk q7x2sIVtbGczBznE4dz4zBFeoaMy+qW505MOlNKdHnSlW5prncK3P5V1e424 ht9KH97zzRurXiMZTWvaUead9inPctrRli+N9W/4gq/4mjNV45h/jDW8kMZe WEPCWG1EQy7jF9SlT5ireZ5hDWvz4hqyzHUpv+GLNLY/lj6pnmf4F19wmhOV Y1lL3H8oL777SV4c83NcZzOd9WkO3iNdTilXUJYX23KOaxP333I9Ql/pDjTm gDLe4UjlGKu32B32JuZiMVdQSlvasFxMR5BnrcjnrHRV1/ru1aNllbimNQxz mZHud6Yj7RnOQP6ijP28WTnW4XX28Sv3htCP7vRgKIfU+11e4x0uV/dmoR3u dU193ZfelLGWDaxhHetZzaBUh1LKU1uG0Vxdm3FQHd5OdWtRJc6pzaxiU1oz x7E31TnE6g32sIs/6JsV6recxXmx78KYCXke4n3eTTEPbe9krHSmBeV0p3d2 zDP0RRirbdIzHWiuzS1S2xtSl3pkwtpdM47hCq4V+Uk9tyt7MxvZwU62scy9 FSm2nVIfLU1zdkpq4/i0Fwpz6j357mcfB9jCZg6ntoe6hbZ0pH12/Ka0qBnX 2GZpj9eEcnVtmsZeO9pTRle6p29rN57LiWtjf+/3ZiObWMsGHhDXB1nEI547 nRvnVIj5IzycF59ZmuZOJXWqQ21+Ri3qs1Jeq1JblrGIl/hW+d/xKVvZwPe8 5t6AVIc17OTV4thHYW1pyRW0Sn1aav41pj5N0re1kN66bAbt7ElKaVsh7lUG aMcgBvOk8h7nKe729/3MYBEP8CBv+wYcZIw9zwTGM4rJ3ME0prNZWdupW+hq n7WN+tL1uIhphXEvF/a0faR7MJXLvduE2tTkbnmM5/J0Jt3JjoKY566COMZe 4S+58ZuyWR4buYHrub0w7gnfZXph3PuNZw9vsJfXOcoWNrOWNbwTykjf1iHq MonbmMpxY/Sf/D3N/RN8FuZ+enc165nBXWzi/ZRneGZ6OKeH87i8iimiClXT 3vJi9yZVUxZLxGhxfjzLH2ZjevfOcH7mED8PeXp2GpOZWC2erW5Pdb419dFO sdyViW0ZxlCmpL4Lz/woRiPSGfmk9A+cZau8Grk2pAE/L4yx2pj2DCO8Ozzl GWK1257vIAd4nyO8zQ5e49Wi+MwutvG/6vQxH3GMDzNxT/5KJtY5jKWNbGAH IxmexkYvutCNnvRI6faU050xjGICnenE1Tyt7CUs5jme5ami+MyQ9G4/+tCR bHuq3HSmq0IOlSvGMRzOaOF/Lx2k29OtMJ7pWqa1KJw9yymljntPiN/vWcFy LvXbuZzDhTxWEJ+pXRj30nOZw3zmcQ/lqax2qY/CGC4tjLEKc3At63mZl1J6 HVcxgrGMY1OKbXhmNb9mDb1DGwpjnkfTGO4l3TPN2dDG8vRMd+abgwu4l7nc yTzOtWbX5pc0Sv9bOJ9Cc7eANrSmEx04WRL74hlGSg/jFI/7+wl+lM4YZ1+7 /sRZvkt74DBnv+dbvimJz3zJGU7zVUk8+9zEwuy4t/xPbqGmsmtQnVqpbvkM SnUYGtYCfsWAknimWMmeGvFM93WoX9ijeCeXbPLIoQr/thb/QMXwjSCPqpSk dDWKKSQ/L64JlalENnuVuYeZ6Qw4iVnMTmt1+DYtTTGfns5oi5mvbT3St/J+ FjCPz/mAoxzhWHbcE2Ypq2L1eAbZkGL7b064f5KPeIsie5ZT2bFuObxVEr8R h9nH39z7hI85yIH07mZeZxd72MIa1rMupTewltVsY2tKbw976rRXnKqMO7id aUxhcig3/E/JeCyhiBpUZJZ7M0riGhLG/Ezpu6ng3lzvzKeWdE2yCuO3IKx1 53E+FxTGtb2/vuyb+rQ4J+61wl6uh/QA+uTEZ8Ier2mV+EwYA2W0p11O3Jv1 c+1CSU4cM33TuyEmu8MZUbpr2JvQk+YhT1ryQfofRYswPhkYznQ5sQ7dGcxo bRvFWBakWI1hPgtL4rcgrLEhJveWxDPC6TRmlqQz9f+fhbXhO7Ky496mQnZY DDOZ36az5AqWhn0ey8mI03vhf1wFMbYnXI+H9S7tMR7NiXvXx9IZ/xP3PuJY Qey7j/krk8M3jA/4kP3p2x32SLt5NeyR2MI6/g8sdwiu "]]}]}, {RGBColor[1, 1, 0], EdgeForm[None], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxNnHfc1uP7xh9lU5Lw3Pv+PEaiEKFUUtEgLasQMjJbSKmIzIbVNIrM0iaa ZERGobTsiCilSUrJ73j/zsPr9f3jeF3HdX3O67zOa8/7Tq7q2rZLuZKSkuLe JSXl5X6clJTMSpeUzBS2iPfOlJRMSAV/IRV+OGHjHY7Lt63ir8odImwjvCi5 YvCPSktKFgu7xKcLf+VKSnaaP5AP/mq2pOS1JOQ/LI04m8XbSfbiXOi/Vbpv cVq4xwibxFvpe+tcyHeRe4P5WXIvyIXMFMvBz8+Ff6Pwt9L9Ixv8DWFaEvrJ x9BU2Iy92IlO9GETdpK/icUIJ82znC9kBztfD+cjb3DC8G+3HuT/Fm8jHa2K wVvKbVsMmZpCsyQ4bgtz3EsV9y/LNDavnQv/v8JPsn2164Kyn1caMsg2sjxu bZcVZUzZ7RY/XjgxCX6sUD0J26YXo17Jy2uuP8Kxl2+7nHfC/xF+Ufp7pEPP xda127ovMq/u9JCf6Di7/f1i54XwCZZBH37qkTo/323jjlS0Dzj11k5y+5aV lDxVKCkZXgiO20vYX3yj3A0Ob1sIOTjfLzDHbS0cKD5Zeg+SzgPMdymN/cSb K98XFyN8UhLf0I/uTU7rUIWVJiFTLx1yxG1WjPjoRzc6K4k/pn7WNB38bvE7 M8FfSIe/ovgz0t1bOEi8vdxrzTvIvdycsFeS0I/uyU4Xe0n7X5c35Yk88do7 bqds6KJ+aZu0S/JCPqY6v+j8x22M9tXG/b2N28mf4vdmYtwgnL5C36aOLklH nSGzTd8fygRH9r/xhDpEjvB7MqHrT49FzzvupkzEh6MDOWyrn46yJhxZ5NA5 LRXjFHmhfg51fZEn2gRxyVN9l//QTNQHZfVjKvoVnL5F2f3BWKQ8bcwEx/0v LcanaZYh7Hlz3MnmuJOqRplTV5T7do9d9NUd7nf0seMlU55xohD81kL44f+K X+jwkmL4TxDvqXwsVBoF8Tuk713hOPFpCn9dqFYWY2E2HzwttyAcIz5DslOr hvwZmYiD/h6FSPtE8cbSXS8VaZHOp0J18VWSbZAJeezFphrie4nvyocMOrEB jix++FSFvepwXHShH909bXMmH7ai/45C2IQ8+qbaTsqDb+TljVzkB/5mEv6q 4idKR03hUMpQ+nemgrdNhZ9ye0eyc3IRfkEqvsEvSoW/ingjuQ3NT0+FHz5J baOO9fTKRR0QjuzrSXBc5ODIEp+yKl+I8iJu71zEP9b6z0hFOVBvlMVxzjtl SL7IUznXKfVZzEfcRtYPb2074Sekwg8/RW5fc9JpYI57itNFH+2GcGRPsM3U LXZjw0n5KF/4B3I/F44U/4m2JBwtvlrua8JR1IvD4eXT4UeG79PNe8i91Zww /Edazy+Ou0HuValIlzJYYBv2lV372LbP8uGHE4atR9m2DdaDLfi3e96s6fmO sY0xjr7JmDHVHPdV8/M9nsBf9fy43fP2hcLB0j9Rff2WbKSFveU95jDeM+7s 8NyKLsKZE5gD0HOh1zaUwxrGPJcJLmVxhPhWxSsmwXELQpn4u3L7FqPcXrM8 4XcorF8x5OtIprPj4qKLsqIOKTvkexUjDjLorm153DpOC31vJ2Eb9far2yd1 QpugbTMm0cewhzpc5Tpd5fInLvHWOHya20wiXjcX6SW2AT/pkib5LIo/rbBb c8G758IPJ6y75SkP8pPYfnQxz/by+qECeVGaAzPBcR8UbmGcUT6+kp7bxPvI 7Ut64h/KXWjOd+TghC1weLt8yMGXyl0udGLsVXhpPjjuTssQb6k5+tpZJ/FI A3suyMc37OmXC5vgD2XDDx9DeDb0o5v0uouvV54WZILPlfue84jur60flzS6 iY9UmT0hXGubp1gP8aYmwcunQi8c3ei9RPw6teU5SfDrxa9OB8fl22XilfX9 Y5X/peKLFG9xJvinmfBfLL630v8kHRx3PP1D/FzZcno++Nn58F+A/XLXZ0PP 27aH8FUK+8byv+ciDny++AfC7eJ3SfedScQlL5/aHuyqqPjtmUdkw9Z08I3p 8MMJw9+OdiUdswrBlxfCDydsufM713VxmcN7Od35mbCb8JmF+EY46c93OGXG N2x+QvH6JcE7UDbmhJGf6xkfGC9l242ul+7CTeJHS8en+ZD5V3PUrNLguNlU cNyiOTrOpv7ERxSjX6Hn1ELous7jD9+uc7971zYQjzRoV7SpxyTfRbx9PvYm cPYpHwmdxQ9m3suH/hflDjHHXvxd3AfbmXfxXrKr+ATpHlMIjvt0MWTQ/aHT Ih5pI8N34nRz3Kedr6H5yBvth7ZD27qhLNYXrDMoT9o4ZUq/e1nhz7kPMk68 bH5XNvonnO9j3N5oa7e5vp5Moi7hlydRl3Dqc1PR44909M1GOGHEaaM1XFth P9XRd7J1lfBjIezspfKe9J892bCjh/haxZ2bhMwkr3/IS2flo4fbCe6UqsFp L3xDnrGc/MPneGyn3F4oRNmhH90zi2En+SM/hBNG2shT/y+4zClvxprzXc70 Vcqcfgyn739ZiLFgb/EWkjkvH3xGEv7y9B3J/pKNcL7zbS/SZb7IBm/hcORX K2yNUCLeWmHVhH0oE4VNcfix3qsij27iwBfI/dgyzZOIT9wOCrvIaZEOae9Z Fvs59nVw9r/sk1lj10zFOpvwq5P4Bkf2anNkj3JeyEezfPDm+cgP6ZJmO6fL 9+YuE/KHrehBR2+v7VnXf5sK+89JIg9w8npNEntk9sfsn9E/ORt5g5MOZcQc 2tP77orOY09z5tVh5sOcd+ZW1j/MtXuIPysdZ2cjnPl2jOffod4Xw8d4vYRt VyVhK3G/U7yV2eDUy3zXBXVInbGPm+B9HeHk6SrXEXU72XGJ96z5SrefcuLT 1XcmlwZnDT/DnLDXbQO2f2d5vhOHMv/Y9rCPaJ+KvQRnUOMVtlW4QuHd1J+6 Mi+Kj1L+bmJd675DH4EPlvtOEpywnx3+UzG+wQnD37Eszh7YF19DXcs9Mh0y 6EAvaZHO7CTkR/0PxyU+c31FtZ3DhA5lUYaz3FZpL9+RH/FWysd52ZhD1+Zi ToUzJzOnIsP3lu6/zNv0YWSYb9dYZoXkl+eDf5kPvcxx/ZNYHyCP7FrLo2+F 5YlHHMrzwnSUKfYf5vXV1c4X+SSPozPBydckuRPN38hEO0HPRenQBe/qce9K 8eNl+3GF4D+Vhh+Zvvp+Tjr0oIPyusJjZl/r4ftF1oOOV13OrKcmu5yxBTuu 8Djc3XnhO/VBnVKfV6QinPzNcPjlqahvON/xU4asKfq7fp/LRP4vd96pU9LF neTwOzLBkacdPedwZPh2WFmcY+RVB4eL/6Z0yqWD47KnvkE2bWEtKfdO4X6h P+tY1qzC7cLdwgjpGCYMFB8gPOTwQUI/8iXMZR0n9HRcdPYW+gi9KDfqnnoW TmB9IFT22HeOx0bs6c4ax/bcJfT1/pl99B5CdfbSXm+w/v1SuFR8g9xa+Wjb jeQ2Fhp63VmbtYFQl72ObPxEuFf8PueX+ael0MMydYSmwh+5KJOtcq+V+6Dw N+fF+UiL8ulmm7sKdzhf5PdZr2suFS7xuSBnek2Eq4SzWM8JC4UFwufCZ+bz hPeEd4UZwlxhmtCReUaYIlxjfq7wsjBWGCe8JcwpRP+dKIzn7FFYIbt/U74v wVbmctYdwhBhqPB4IerxD9fRzcKNrotOwp+c2TN2iG9i3U7dK87dwl3CIOF+ 4R6hv/ngQpznjvTerZnTbeF0RwhPCPcJox23j9CX9XIh1n3sn84XzhAaCB3z sR+gftlH7K+2XEHYW1inNv27sEZ4Q/iEsx1hL33bT6hC+xcOEw5NR9x9OUsW SoUDhT3Z+6fjHLiiMEbxnxU+4CxUqKywDXJT6ei7HYSpQkfhSmGH8IOwUlgi PCIMFEYKTwpPp8KGtXJ/9Tndu8LtChuejnP1EsYfoSNpCL2FPpzTeh5i7LzJ e7NrPf50YC3IXi0d56Gci/4sXMU4ZD3o3KywQ+S2FtoK5wqTOTtxu9rts2TO lFc5L38wJ7reNwsrhdXCz/loU2vdrq4TurhtjBV+EV4SPhY+ET6iXwjPCd/m o5/S95sI67KxhvwwH/2rpfsva0zmjSX5uLd5wGPCTp8L/inMl3+OMCsfZxlz hTexV98OVv62pYJvTEXdbRf+SkV4N6GL66KX0DsV7YG2RB1RF+vdrijPUbb/ KeEVYZzzONs2kC7j629uh8/nYw+EbS+5nz4nvOYyf5V1F+dT+l5B7kb1sfX0 VeEb4UdhtfCr52Hm47eEucJsYZ7wvvCe1/fTvebfnIuxnT57jMfMqsKnluf8 Yp3TOjofd2vbcjHWJfKXCXnhWOEo4Yh8jCGMt1/kYk3JudnzwlPCKOFp4XFh pPCM+WPCo8ITQkFobnnCn8zG3DLc88sL5s8JE4SpwjjhB5fDSmGs/C8LLwkv Cq9Y5g3hdWFaNsb49z3Ol5fdewl7ezxnHGMMf1E4SjhCGIdeYbJQUzjB/AXv EV+yTFXzkexdyRPnP+RH7pMOf0YYIYwXdnHfKIwWH5WL866b2F/KvY48y+2f Cz07cnH+s922PS88KxwvVBYOFr7PxXkv58iV8rHvPkg40HlkfsTmKY57G/s9 bBXuzMU+lzOowcLDwgChklBeqGKZ24UeQk/hEfNBwkDLc1Z3r3XSj4Z5LP3Q ZT4vG2uBy7we2JqPs/NywulCXaGOsJ+wv/mRbmO0w68VZ6mwmTMgYbGwPRv3 w99m4454KGUqbKCNeGyZ7Li0ja+EbkIXc+Jusc5Nwg7hd+EtjxWMS8fKjmOE 04QN8v+TjzP03UKJ7Z8kXoV5Ve521gKMQ8IW6qEQYyNnsuSLM+0DhAMLIdNG bnOhsZAIR3iN2tTh3JFkhKzQUDhDqG++SLYuERYK24S/hD9dPpTJl6xnhH5C 72ycH/QxJ/w+4W5hMGs4YQBrQvY8wiDW/K6v24W2QhuhNeXDes7hpwt1hPuF MdnYh7Fvuk24PhvtmXoZ4v4+1n0TO78QPrf9FdVuKggH5mJMGOK6YK813v2a OtroumZeYH75NRt9oYZQLRfny6cLdYTTcnF/frJwmHCo2zPpPig8ICwXPnVZ cYfAvV4DoZ5wqnBKLs6yqrhfMee25ywzHXNiLbmnpGMtwdzBOiHNelvxHswF x2UM2uxzx7TW4RnODRR2nJCRP5uJ8Pf1PSW3lHN1zuK56xD+YQ0gNycczjre /GChsuVJq39ppI1+6oY0CP9I7l36VloWdxmXpYJzp4E/VRZr0ZsLEc6ed6dl /vbdB5x4fMuKv6V9xIpi8DflzhDacd7KniMT4YRxZoQNlAF2YNtxbjudJHct +2bORTl3Fi4S2rOv4/xYOFFpnyA8L4wW7hf6Cw8KDwgPp2Nv00u4XfhS/q+E ZcLfrOW4q5G7SfjTZ7wHcW9EnQkjhXuE+1gzck4sHMg9k8u8RNglvjMdeigr yok9FPaMEp60PQOFe4XbFOd6zuZ9LnCzcKNwjcOvFno6j/DO7NlcbpUycRdD 3G6cywtdhVekd7wwTpgjvCnMFmrp23HCMZSV0MZt5lzhHKFZJmxm30cdw7Ed P3X0fjHqjzsv7ruYu+CMKRPNu3l8gf/l8eaQsijr9UJlnyn1yAYn3iRzwu5w 3O4eg4lbXnZ9kQlOWZeYE7bMvFwm5NCDjlush3kVXexbWauxruKsZqfbJ+Hc A1+fij0v+T3E8qwP2zr8cJcD/BCPf+inDEijsstkom3Grl+8X+4kHV1TEU4Z kIctbie0K8KRXe3yoTwoI+7UZnutBsftbT7H67e8+H4ab07OBz/A8zs8/d86 THz/fHyjHumL84oRjixy2NnV61nCWcPt57jowI+dlD1lTThp7m+dM33OjB7K kjxzjsQ+qqbzTv6+9PhA+TNe5HxexH0PHHeB+QK3W/Rj7zseQ3A/MMelXSKP 7Hi3VWxh3FmusBXu4z+m4w3CD8IS9/1FwmDZMcj7rPOEx4SzU/E+bpbwitBf uEe4i/2W32HxHust4W3hC2G5sExYIpxWVfOCMKg03onw1uU5YYz8o4UnhaeF N4WPhaeE5xz+ojDFZ5LsH0cJTwl3C505dxGOTcW7FN7P1RLSnBV5v3aB0C8d 8v1s86XeY7LfPFG4UzhO6Cn0EPoINwk3Wv8U70uvdN+4znVaX7hZqCt0F9o4 3ZlqE3OEGYwl8r+Wir1zDaG602LP2EpoKTQQzhCapGNfvEVomI63Qrz7Yt5k PD9eqE47SMXYPoO8y60mHCPUEU4XThVqC6cJzYUzrb+uZZh/T07H3ryyOWV4 hFAmNE3Fe6JmQmX2fUIlt4cWQkvhzFS8neAtxdFCtf+J28Rthrw3tx7eZCSp eCOyRnX5m7BNOEz+KtY/MxV5I1+b9W2LsIm3VcI4YQVvkoQNwu/C0em4m+N8 8ErPBW8J72Tirpa7xlM1diTMn9ngpwkNhN2sD4StrAnkLwqnCEcLjYQjWdsI DYWzHF4mnCMcKOzPmCdUEPYT9hFKhPIObybUF+paTxOhnlBDOIn1l3C20m4i rGWutD1/C+vcT+mbPwlL3Te/MP+aPbEwPR3vl7p4/cC8v7dt2EPYLv+ATLwh uyITNl+Xifb8u9yxwr62/wDWdpa/j3FN/j1ZoyKfibMYzmGwv7rXYD+j0/P+ CtYQwnJhqfCBMC8Tc3p3rzG42+Zu+WPWbJb52nPDMst39rxP3+EdzHTP4w8L jwiDPb+/LkzIRF97RnhWmO1+N8t1mnW97yn/NqXxqNdIrJdYO412XM7GuW8Z lok7l70z8eaEtxmPC0OEp80buJ++IP6Sy3CE8IQwPhNtmHGyr/gg20y6vO3g jcermTjznmT7KdupwuRM3L1y38v9azWvT06iPMriPpbwpb5P4U0vfILX+ksS vzc2x51qjjvhv3DLwafZ/4XwkfL0obCcOyTSL4TMBKdFeJnC9uA8NIlxZSjz BusA783g2xS31Bz3MPMzfN6IHnSQxtdJrB8HWc+ZhZBbattIe5ncAdSdbTvW +8ofkjhj5owcjnuLOWcvnMHAcXm7uzKJMxXeQxPOOTXxCSeMPfBKu8hh22ke S+GMq4zJlNV81q6ZsA3bB9i22t6LwrGxtvPeqBB5I5xyJQ/EHerxeZnTGmTe 3GM3/FGX8/dJjJ2tUqGT8m7kuuD9FO+o1iYxti4qDb7I4yR8bWl8g/9/mLA+ iTl3DuMx5S13orAuiTcLux0+2XMw8rM9BhNO2ATz1y230XVHm9wg91fZ+Esh +DeF8K9KYu/MHhqdpD/beib5nhGOLZOcLnn5zHyh1wpwwhba5t22jTJp5rJd 4XbVoBCc9nWmeb18+OH/lIafuC+mo0zhlGsz1y91W+Yyp05etH50T6wa+bom G+cA61xWM23nRtcFfZkzj1PdNugT9BnkZ/otyjrLzzYnjPpAP2VGGvD+2ShH 2vNmnznCZ7h9I3OCvtcSbtK68Eahk/AQe1a5D8jtyH2qcDVvLYQewt28Y7F8 F+H6Ysh3LoaeW4SuwoVCB4f38ruYnsINvIFwWvcK9wtD0VkI3knuA3LvE+4R HnW6txbjDc0Q3skIw4XuTqubOXoeEgYKw4THbQ82nyGcKTQoxt1HPZ9F3Ol7 kD0UXiaUCocKBwmVhArFeHPflvNb6pmxTkiSOA/hTONI8cqsrwtxlzRFvIrC 7pRbS+7JwklJrFm4b2Ldcri+HeG0jhFqCMcXo49wRsM5Gn3iK/cL3hSX1/e/ uAOSO0B4UPhd/i+ElcLJpCecJHwr/3qH15G/nlBXOEE4Uajp8h/ocu7vMn+k GOWP/icV9xuP27TFb8lzPt5OEH55Pu4bGQMZ/0Z4PGT/z9iNTAe3YcL5PtIy gzyOfeN2jq7vPVYwlsEZz3hD8KP4DcL5Hp85b6dN04Zpv7R15Gd4fEC+veMg P93t/kfr4Bs2nOo1MTLMD+il/DkT48yT/HKfSZ6/YxzIxT3+5Sqby4QWwvzS 6CPsaz4R3vc+pYnCGgmNhXOF8yzP2rV1Mda318q9xv3rrGL8NgL5dkL7Yvxu 4VKndQl9RDZ0cr6wjXcsi3JhG3Z+bo6Np7u++P5f+K5c5AFO2C5zZE+1POH/ ceqZNPjNwDKlv7QYY/Xncpe7rf7/b4mE95NYa1f1PMgcOFxYTB1xD1kanHt+ zmMXe07k26Ik+lZVxmyhfhLvvOGn2P+ZZfAvto4jHJd4DZLg9dzfFlmWOJ/T P2Xj5KrBWf/jh0+1f7HH8NrWWcvxSfd89/0FSdz1TioEv6gQd83wiwvh/1T8 +UysAeGs+/AvTOIcrIo5a6oR5sh8n4m0yDfvzD9J4tyfuzNkiEccdH7v9ST8 BcdF5odMpIE92PiibeNuGruRGeG4i1xOtZwvfgsz3vLEu9ic/F3uuKTzrdPC Jb154m8W4j4cnTe5DrCf399MNMflzhXOXWFFc/KHn9/icf42yZwzijctwx0x uuYLw4THKb8k9k+8N4JzF8adF/LclVB2cNI5yDrRze/9kCfes47b1HsyeDPv y+Do4xtxZ/rMhHbOOcI1qQgfb1s/SGKf9FUmZHhzQn+An+yzhw/Fr83Gb17g nXxWBmfe5ht5HO18Ej7Iczr2YC/3fbSTKW6Xn7hchztffB9p/Yd7vQF/xX7s /Mr7MeISb5jt5E0rti5yf7rJ+b06FfkhLvEOcH+nrxMHTnkgN9/1Qx5oGyOF d9Q2dhfjbedBwjL5eybx7venJNbUo7xueSQb65JVzjv+NUm8b+Dd3c9J7GnZ zxKXeO9lI5wwzn/hnF/zRme1sELxpjstZHkvCMflLeKvtAHZ931p8K9Kw09c 2jVvPODT3c7hhFH3pMV59I225w3nBz7T/tVuPytsP7JdbCc28h7r9yR+n7Wl EHwr91zmuIy/cL7zjXXj717PE853xmnGZ9bUq72uxv3c4zZj9jJzdH5jGcI2 27bZzg+c8/Re5pQrfsqHtf3XpRHOd8qaOuK9zZWF4Ly7ucr2H+q8Ec531njo QQdlTTh1S5xfknj3eL/HFsqcNznzXBfTzT8sRNuC832uw3H5Nk58rPAybYQ6 cZv8WHldKDwr/pLwgDBQeEx4lPZnnbRZxrXLxLsJXYVDhD5CJeEh7HTc4cII YUgSc99w7/tvoa6F65OYu2+m/ycR/oNs+Er4k7Wt/P94PmXdwT7zYdq/7RlD v07CZsrnLZ9nUIbf+zwVvtxnqvAJ3pdRtv29riPuLJ9nEE7YU64X6gQ54i7x 3g352T4zgROPuiGPIzwfUW68q3/Cdv5ciLfWjF9DXSa0//HuA+ihbjk/Qg/n CvMdTti/TguXfPLe8WCX+Qr2/Nm49z9Te6UdhXj3eF5ZrDfQ8xFrMvoK6ymF v6ywl9IhzzvJ3YWQ31ff97cM913IncP+KxdvCRorvUZCwyRkOEt9TGhUFm/a HnS6+3ufUFf8Ab87aMubQ7lXCw19j8AZe/2yeKP6MGtB7iC8fm8pPr8Q+wd4 Re87aBt/FOO3SE25G1KdfFsaMsgit552I2xh3a/wxiqHppxFlcV+gd8tnlIW 78d4t3a2+PnpOFuuVRbvV3n3zP3A98W4I2il8I6yPc29bVnspdhvUSYtFXYe bxnEywn7JJFfZDs677jkv2ZZ/H6xVzr0dPV+jPDPUvH7ScrkvSTe47YSznV/ OaMs9jfs55DhO2VXWzxViHfX53IHqrDXhFnCHOGKJNJi78dekTd3vxTj3V09 p4XOOtxhKSxdCJt5n3JkLsJ5f/lXPtrDv9loE5ThwEKUY33b9p7TIh32prQH 2sLBxdhntBXaCO2SeEPOO3Zk+E57XS33SoX9KLdjEm+xeZNNG+PNJO2M9/+8 /+VtFm2gejHaAe3tRoV3zoYNpP+u9dMP9nV7+EzprMtE2bbkexLv8psm8S78 LLftGukoz1HK39NCE/GxCpugNfNdxdjTsp89tSzuTbkzpS3RjngTR73wfvye fMSt5n5HW6Ut077R/4b3NHDeIvImkbxwp0//IW7NdMSnHOhnlQrRX9YWQg/t Z5jvGojLWyTuwskLfZT8EE5fvNHhx7v/omddIXTB6X/4SYt3YbwP4z6ON93c yWHnpd5/wSmb0Y5b4X/6PumTh8Zl0df5PR5lQvuivcJps5QRnPe9fKM8J6ej TImbUrwvi8HR0c88ncQ30uqVjTzTVguFaMeUG+U91nms5PGthccoxhrGwJJi nCXQlhhLvuHOhPlf+I02LXwizLU842tLj2PYxVjGPFghibVcC49dlEVD5x25 U4pxFvGycHpZ3G8dxf2c/C8V4/dOhPfx3Rd1ynjQ022JdkQZkUf6YsH9jrFz kMvkS4+rcMop7b5De6ngOiUu/Zm6o60xXtDf6euMWQvkX1OM31Dwe33+42Ks 8EFp/Hb/Vvcj+hBjK3P0aJ8Vty6Ld2yP56Ie85moS9ob/Yk2d5rri/c99KPe wmTrZJzmvoYxfJ3LH/2c/fCW6hX5J9me5q5f+kUmifOlw4VmHhO4/2rt+Ysx i/GK8Z4xq5nnjuoee+k3jL9tymIfUfQ4w11Wi2zoeTsXuk72nEL+keF7K7e9 AS7bJdL7hbDY48M47+NaeV7grRPr0J/YHxdDZxOXJ/VC37rA/YuxnDGCN0K8 Peed0CLGNuFtYaXwrfB1McqWfkD5cnbKHQjnp9PcxupaJ7oZ15gjZhbjDQ3l /2s6xkfKhDmKMYW875uLemVOfMd9gbmynu9zW3teQO7XYswvq4rR3igPxm7K lv9fmeJ5nzbLnMFvqflt9DjabjHeibzvvka/3OE5mjGVefpktz3Ki/bOGLDY cb8TZjsvtCPys8h18VkxxoST0jGeUhfUA3MzeSEfzP3MQfxeZq3b2BDJDk7H +MCZ5HEOr+ZxlT57lO/BmbOYv5hzsZ+1VYnlGWvRRZth7uJ9MfVFP5judQLr I+ZdxrTOrkdkpnt8I+7P2WiXCzy/k1/WNqxrOLtFht/D/ZSNPebOYqylaYef paNPwjlLWJiO9sM6h/Uh8yZrAdY31Cn9mHaPTvSRNnGJhy7WJMz5D9qGcsVY Y8GxpZx1Mg+/57Foh9cSlCdlSR+kbdDnauRDnrUVa6N5Hl9p5/RZ+jT9FhnW TaxpGBP6FOMsvY7nF/rhox4rOBtn3cIaljZKWqTTymPUJJ+rsH7bk3V2MfJF OWAzdjIn1HA90hZYH9MvOUOu6TmC/khfZn90iXCp8HwxzpY5x+a3mpc7nH3n 526TnJ9flov/Bfg/78CUcQ== "]], Polygon3DBox[CompressedData[" 1:eJxNm3ncjVX3/28qklIR3Wc+B5kaFCmUUKKIIkSDeiRKkdKkAcnUpDQZI2OJ ypxCFJkqGtCTOaV5TiUp3/fntz7P69cf79d1nT2svfbeaw/X2vsUut7crnfJ oqKiCYcUFR3Kc2OiqOgm2FtcVPQxz3SmqCgL1eAEWEbYElgMb/i5FFbBs/BW ItIobiUshxUOU9wm2ArbYRu0gYvgHVgP/ZJFRfdAX7gVPkiETtJlM6yBtbAF dkDldFHRcVATWkIeHQtQDCn40GVKhmSd4LpUhSqZ0HuNZT0Dj8II+Ag+cVnr rLPKPII8ZSEDNTIRrvgFrpPybYD/Ov8Gl7vZYdKtMiSs4+3UsRfcBLdBb9f9 KdLexbN55aKimdWLiq6FOvzuAx3cNjdCK2gHHaFlMvoq77qrnhtpk03wMWxO Rz1VD7XL+4moR859nLZO0u1y0raFMpmos+paPRNttMN5H06E3tJZut4JPaE0 lIIrk1HWVveByjyBsC48EzwLTncUXOH0I2EEPAGPw3zscAHMg7kwGWbDIngd XnW80i2E8U6juMVOOwdec55pTitZU+A5h+n9WYfPtgyFPQ8vwSyYbj3mOI3S jnOZKmsJfAVfwxfwDSSoaxJOh7pQDapCPTgDLqONO0Mn6AjnEdYM6sPZ8CUy voNvYU9x9In65lK4BBqR5sxE6DmjON4bJEJnhUlOQ4cprg7UtB4qvxUyasHF cBHkEqGzdM3LfnOMXdgFO+BUwk6BYqidCD06QHvrM8VtN97tOd1tNxNehEkw Ft6C5fA2rII1sBregAlOp/hbkXk93AZ94U3nXQkrYFeecQdb4BPIolMqEX2k vhrG+2B4AJ6Giomoo9Io7cUaA4mwIdnSe7Ae3ocN1kHlqdxlcDU6/AeugS7w X9drI2yD6oTVgDbQGqbavmRnE91Hz7tdXoClrvNyy5fdfOm+/hxeKQ4ZyrvF THQbfQKbYDPsgJ3F0ZfVXbb6dLt12+T4bf6t8K1wF2l6wU22w76ef0cmYg5K ub1kC2n4gTz7bZPSsx5p60MTOAuGIeM+GAJD4Qb3n/qxH8xCxomkS8HzvN9P 2CCoCwPhJMJPgZOTke4a5r85BeQw/31WHPlqaJ6DJAwmT9d0yFH+hYmQobwq 60HCHnIZStOf8NZwEQxSfrgfBsIDMADaO43S1nXe06EOPEnYY56jNFcNcd7+ ljfC8Q/CcD8fhof8+zq4D+6FWzyXt03Guqc5fbh0dBuqLVXXmnCa6zzQ+g5w mfe5Li0tU+3eAOq7/dVXf8Gf7rPzSFMFKsO5XjfaWQfpUsnjP+ex8iN5/nGf q+9vt63c4P7U2KngtBpPjxJ2rftEfaNxmLLtvGYdpMsBz2nf2OZl67/Br8Wx 95jh8XE8+Y5zGYVE6HLQdZJOFRxfyTrMw1YWwCKYW4i9SqtE7FG0V+nqcfug 7eEs0vSCBnAmHMsaVx6OhiMzsS5pfepH3svd1q297qrNpUezZLTrn36v5jY+ z+NC4+NCuEC2QJkVoQqMSEee89wXapPzeVa3DMk66LBmLks20tdrrtb/C9Gx JVwALTL/f0+mvdh4aMuc3Q4ugYuhN9wMN8D1ft4IPf37dtrgDrgb+sF/COsB 3eEaeJiwdTzXwr2FkNseLrX8p2EUPANPwTgYD8NhGFwOnayDdKkNp8HZ0Ejh yOxTiH5pWAg5kjcGRsMjhK3muQYe5T2p+Yv3WyAh28zFb4VnvVZO5PcVuVir ernc652nCzJug75wC7xK2Pxc1FFlTII20Boucz611a3OfxvcBXfCHWo/t4XC +/q9vdPc5ja61On6QTP3j/rpPMuUbK0hqk9L3s+HC+AieBwegEHwmN7ReQgM hcFQj7C6cDrUdxqlfQRGQAnIQAUogq5Z+h+76Q6X8X4T9ILe0BPehfegKmkb 5iK8B3R3fEnK/IN1dzrP0jCAsIehPwyHaYRNgefhBTgUGTXhIHH/wIBC2NE9 0N/plL4slIEjYBJ8Tdqv4EG4PxvlSL50lu7XQcds9POVudiTqL8Hu22mufxz iDvJdid7qwZn5KLdToCjkXEK1IbycGQh2lhy/syHDcuWh0J/Px+EAf7dlzy1 oArcDMPId1qK9Qymui453sskok7TXecybr/JUEhFmkluh8nOd4TbZqrDyvpd spVHYSq3AvRx+R093jTuOsMH8D68C+/ZzmXvizymz0ZG70KMQ42/4wkrht+R 9RtkcxGm96Tb8mQ41W1aBQqQh8pQHo6FcmpbqGR5klFR46IQc879MAjShKWc R3kvZ/1fTHhP1v/rk2G3st+04ytalvTKWa+9kMiFftKrTi7mmNq2C9nHVdA9 HXqprP3k+dN2LjuoAdVzMQeojTTvab6Rzcp2S3j8/M37Dx4z98g+SXMRfXEJ DC+E3H3wh+X/ko06lHd71OF3aZ6l4G7e75Stay1OxTwsPWp5zFR3m+bdBtJB Y7OadZbuCX5noBHjYZ/GBe8/wjHEDbMe0qei26uh80n2WR47V0MXt1Efz4u9 PCdXpc3OhXOgCbQiTfNczFEtbVeyr8XwOnws26I+r8JG616w3WgsLnQaxS3w U2m/gk25mHfbWLbmv8scJpuWbWsteCMX87b6apnLXQLLc9GGass2qVjTbrJ9 y85vhE9IsyUX3zbb4SV4FKbBVNjmeKXbatmq21KXMd96v5aLMTTVeSdZ135e Sx/0PH2+20vzvub7R1yeytX8PCUXc7zm7clQNhdr47lwpN9ly00cNtDr9BDP U6fZ3hs7zUzLnOx+HeGyZsEMhz/m8Blu62656NeWtgvZ3qG2D7XpKK3L8LSf o7wma21+E9t6DibAQiiFDZbOhB+hNrxF2BSnUdpXYA7MhpdhHoyGUTAXVjid ZC2Ac5Cx0uF/ZiJMcfMtR+VOhOWwzCy3zHlOO8HhyiNZb7mMFQ5b5rSLsrEP 1H6wjv0kc5xmkXUeB8/CeBgLz8DjMAImw4nkOck+H/l+ntacDy/CyGzIPdFx 8tuMdNxMeAzGwPPZyPdUNnSo47Ty2Ux2WU/AVL8r35MOe87tPc76jbbMp9zG T1n2SOv9v7DH/1WXkZYp2Ydnok/Vl6fZF3a020a+pFfdT3PctycTdirUgppw HOO6jH1EFeBQwo6HEnAY3MG6eCThxfqeSoQPS76spH12P+ubJBFylF9+w4u8 x9de/yjSVMjEPl7795JwCBwD5WA1aS60X09+P/km33HeZf5OWO04+QbXO17p 3nU5zZ1GaWu5f090/RbZdmS7S7NRj0r6ZktEfeTzku8rDzlomg4fjHwvzaA5 Ms6HptBEPjf7a+S3OS0Rcke5b16HU8lzQjrmZc3HdclTH861jM7+XrvdPibJ Pj0T6RSv75SCddE34S2st7MZx9ez3h6SiG/0lL+1p/G+H/6C32Cvn9/Bbv9u gMyGmRinWoPkJ5TfTz5Q+UKL3Cdl7VfcTR2+hG/gU1jNHmsc5Y+HH3j/Gcby PgZ+4v0ajWfqsQyu5v2fdNiQbOfvdHCY5xzZ6ZWkuQQuhiv8bA9bMvFb+8be aqds7B9L2F6kY5H3lIrrBJfCVdAlG3qofM3tWlu05muOb0LY4nToqDQHkfGF 6sp7dWibjT1rR8tTeF2o4fhjvRfSvF5O+1XCzoZG0DgbYQM912tvustrnuZl zcftsrGnv8xlfWBfQD3Y52de353+Pcjlqdzyfr/da4rK0V741GzsU7QnbgEN oD4091O/z4QzrGe9bLRDY7+/lo42aeK6ltE84jprT/+1bUC2sIt0n8Fu+FT2 qjEBO+TLSoeNyFa+VVrYmY48SvtFOubiz2BHNubkDbAqG98x6x2+27a23Wm/ cpjitjl8J3yeDVsqYVuQTR1K2Fp4B0pmI6zItqw1bqf1+gL2+Kn5e4x/ay2a 6HIk/331UTa+wbraVtu572SrH8FGp/tQ9mQbl21rLv7E4e2c90On7eqw1dlI oziNBY0rjSeNK42vz93eu9zG38EW51HeHY7b6faXLpuss8rRPk37Ve1btV/b TNjHTqO0/81G2EbXRecQ6+G9dJxHbHdf7HKbf+G+/BL2wGjmjDHwmHx5MAmm w1T5uGGc45VubCL8wuvkJ8+Hf7i2vo/gAu2NYBa8DC/BTI1Xxu250ALOgze0 rvBMwPJknDvttV/qamS+p/WLuDSs5/16z9ONoYd9MK2grc5QMvFtdgpU9jfa FZqTNK9AB60dhNWCqlAFemZiDZBMyb7A+p+o7wpoTJqzoBGcA0NJMxiGw43y GfIc4jDF3QS94BroAgPhfugHt2Wi776RzzMV+2Sh94u9Z+5mGcp7rfQmrBNc DT1Scaals63qtM0JcCZhTaEB1IMspKAivJyMNlBb5P2Nm3Z81u25FT5IhgzJ 2u4wvZ+RinLUD7WgGrTLh5/+Ep6Xwm7SfpqMNlJbdXHdr4ar4Md8rCMdaMv2 mrvz4fOXDMlqDi3y4Vs/l2dn6KR1B67KR11lE9JBujSCc6Ax1HG+CfbpK7/8 8i0s93zIQ8H5zoD/ZKKN1bZdrWvecdJZcptCXctPsj73R2YP1udBxfFtsj4X 5zT6hmlqe27iPtC80tO2JD/JGW5X9c3ptiO1VUM42+9qv53JCOucCR9jC9uz +ubDZJTxv7L0e0syxlA9l1sf6qbCxmXr8lG2z0Tfn2Rblw1oLhhP+LPaK/A+ j+ccmA1zMzF2ajuP8sqXcqrHlMZWJ+snPS9zGS0dprj2tFlH9Xc+/JA3kOfK VNix7LeD4zu7f9+iHithBSyGtfCm9pmwDlbDUngbVsGjMBTGwXSHK34ZbIA1 yZhTljrvYst+F5Y4XPHLnedUrbke85q7FP6WdVD8qEScwers9ZFErKNaT0tD qWykedN6q/xpMBYmwvPqN2Q2h2bQVPsqwsZDdxidjL3KNu3PsrE3eUvrm9Zn nm/7fZfWOfgnE+e0OvPQ2cYjydDjKDjE+nS3fJ1T6OyjjP1W8mUdXog2G2cd pevUZJyx6GxlssMVP8b6He68X3nt1rmKzld0jqPzG5VdLhvrtHQY7bp1gwlu h7GWpd9fuk6qyzeZaJsW0NptNIs0c2EOzFYd7EOQ76AxtMSGWtlGq9v2Nfaa eQxITht991ue5t27oI/nX+0bW0Nb+4za2r5P8+82notbe4+pNeYG71m1d22p tsBuW/G8sBDr1krbzHLP6408tiVHZd8Nt1qHCzyvai6o4XQa95dCOz93JGMe vtAyznacdJJv5zVYkAy/zcxktJnaar7jXnK40rzi9lSaF2FGMtaFV/x7p/fL B21fV3nu1jekviWV93jK/d59orVufibmDc0Xtd0ftTxnqC6ay1SHf9dJdalm 9N7S/VfL+S9we1RKRXlzrWN3z6U93P5a95u5TxS21WerreiTlvk4c9bZcwXe c/qWQdYYOJb3v5iPPuKZkp8VNnrO19xfLx911tqd87qhtWEvz/1QivSZQsiQ rGPg6Hyckz9JurGZOC//zWdrRxJXPh96HAeVvA597rPmv3OR5jA4NB8+PPmK FX4gF+VIfpoyiwrhU5DfRHnKwcpcyK8PDaGB9gLwsPcb2nc8nYk1W2t3TcmC ylBV65rO7qGG406Ekx1XzWmTjlP+k5xGd2y0B9Heo4rT1bScFByfjzs9SlfF da7kNVtrcAYS1lm6P21dB8FTUI+6nqHvMGhUiHKqW6eqzqtyalvGw8XR5+qz //VdBZerPjyo9i3Ed4p8MupD9eVhkC2Ez11+Vp1F1pH/V3tUzzXVoa59lw0d 38i6yeebhv6UOSAT58gfpUOOzjbrux6VCtGH6jv5vmR3xVDR9qdvd6VR3Dle lyVTsrQ+H8jHd6fOQvblQ+fDLFP5qqqNCrGOaf06CWpBZe9hf82HDaveeZNx 3XOFGCtDEmGjaje9q/+Ot90m3ccpt33WYQn3pXQpYRuVThoHT9r21J9lSFPa di77Hs9zDIyCcTARnnOY4k72enyS9X8CGY/DCLgT2mWij9Q31VxP1bcmFDxO pIv6Xf0tX9EE3p/Nh09QPhK1s3yZ8teXJfwj9PoQvoef4Tv7oeV/1llTD9L0 hjm5sA2tLdfZRs6xfRdDE9UFmZMzcS5/DzzG+/MwHe6F5bIFeBOWQTvYSr5f oC3v3Xhep3kF7sjH2afOiw9Ckcup7H5o4nYbC6PdpmqrkZkoV212Qz720t0s 71rK+JJnJ54dC3H22dOy/+F5VCF8HrI52d4bhdBZui6Fd3xnR/v4i/Nxx0V7 bu21W+djzT3fY0j7nXd9v0d53vF34jq/K7/m7e2+K6P8Nb0faO7+7Oq9unyM R3mvqf1t60ycwd/q9fUJ20cb24fs5KJM+CG7Om85y+ridU4y1a99YG4u+ldt 3QI6uM3VL/qG0beL+kfnxGoztZXuHNWQ/45vg96wpBC2VMa2rvO+L+Bz+Az2 wCr4Gr6Ct/0NIZ/S7lych/wAKxz3E+yF33PxjarvCr3vy4VfUWG/WNY38Kuf 39mO9fs3+MMyJEvzluavBh4L8h386XTyIWjsPpSJdURjWPcQ5WfWXcVXMlGW 9P/WZSnvfpchGZ1sX7vh03zoWiIfPlDpLD+G9FBd9K30re+mzEjFuleStPc5 j/Jq7njbe2vNIW+7vr+4fQ73/KI2PyIfdfjNdVVZkinZ2gdoTd3jezAHvNZq 7V3rb41S+ShHvw/1nLXK3xgq43CXUcZzhuaO35UW2f/w/M3fGvJZrPc3x+HE 7U+GD6O0vq+p845M7Pm3ZuIbT76Lz2C35n3SPAqPwGY4xL8V/iFsga3wAWxI xThoY1vXeDiasG5wHexLhkzJVrmfw2pYC+vh3Uyk6w57k5H+Kd6fgMfhSXif NB+q32ADbILNsFG6ZmJN0tqkOwm/w7vkWWPd1vopXd/37y+TEa9067VXVJvA Nu174XPiV1qG0v6Vj3lI5ez3Wq5vEn2L/D/fI+l2W8ZOy9H7p7ALvoA9kusw yV3pdtzgtLudTvF94RjZor5VeL7CGH8JJsOkdOiwz3XVPkJtuc59p/ZVmOJK eJ0ehIz+8ADcD0NgGAyFwTANpsBkmAo3VI55pBfzyV3FcUagswLFTU9Fv611 WXtgCmVN9RqqtXSc+0/9ODEV9550/0l3tiv7jovmMN1ZLE7Hd/9CWKQ1yzah Mt6Dd6C2zzt07nEKrCJsRSa+U/V9WmxZugepO+GjKPNp77k15rT2TrFuWoOn 5yNM67LOcuRD6Ow2XAOjyfOMZYxyu6n97oG74SEY4LBBbsdhDtdvjfUXnFfl HwalUjEONf6+1pwDP8D3bsftHotqz3WyYc0JsCYfba+zo2nuH90bU59Mdzma uxT2gsu+DwbCvdb5ZZgN82EOzIMlDtfv3z12SnofNSMRdyp1l/KFRPjxF8Gr PuNY7velPpOZR5oaiTi3mivfLGHPwWpY4bQL4U7n0TeuvnV1T0b3JV4kz8xE lPuCmeVzKPl9t6DbtnzsUT6BlwmbbL/wS06jtNPsI36dMpbAAuute766s6i7 irofrDt4VWxTsq3h9jPrzvAw+53lXx5lf8stpLkZekOfdNyxe9Z+aPmfdfdR d4R1x1B3DSfYNy2Zkq17tU/CE/B4Is7mdP+2ZzruVOpese5SXwfd0jGHai6V T1k+uKGJ+H/Co94nP2gdh1rnwX4f4u9OydKdl+6WeRthd8NdcCdcD+2greoG naAzXAlXqD7QweFXJ+Is53W3pWzhRsJ6wOVwGdwL9yXinrjuh+uueM9EpFP8 B9pD0+7XVY97vf2sj/Tqazk9rJf00Tw3FaZ4vluFrayGN2GZ0ftyeENzKDJf Rna36nGO2ZSx8It05/lMMuqtM+bbXX/ZxhqYbxvRvFTJc5Hmj4+RMQtZ3eFv 303V/2N07153VItdR9WtfCLu1Otuf2No4nDV6VjHX+r2VLt283tHt7naWGe8 OuvVfwD0X4DVHj+rYG062lRl6l7sJdALekMfuNn56liPJk6jtLo7e677Wf3d 3rq0d/kd/Luq++9e10N3KJNukwrpmFc014z2nPZaJvwv8sPo7KFINkz4UjgI qWzcSToektk4c9HZy+vwGnxPmh9SsW5qvdwPf8Av8GcqvpE0T0/Kx/9SJKcY KkHFbOxL5NP9OBX7k9LyedhGZCsVnbac/ZLaqxxFmnLp2Afoqd+lbVuaZ3UG vcrz7TrC3oHv4JtU7BG0V1D4t6n45s64jqqrdN8HwzWXuh5/+P0n6yX99sKv tt0D8JdteJHXv+XwZibCD7hd1B5aW+vnw7eiNTbrdjjKPmD5ggvZCNdvnRs0 9ZqsdW+b93u5bPh4K7l/E7b5n62zdP1R6xVhJdOxT9D+oK3nokvgYijheKXb 63rp/R/X71iveVrrymvNRId74AXN3fnw8cnX92Mm/K97ZR+MtRvh1uLIp72q 9rDKL1+hzpLkl5M/7rhUnNfJhy5fezn1r8MUNzkffrgrYEE+9sXaH2sfWxI+ 8f5xk/eUZb0+S+cjUhGmuAPebx7wb+01/9Y3Szruwp0NZ8FPydi7/u799x75 1JOxj/wsGfuKzt5na4+mdliob3m3h/YRA7xu32NbKZWOdlbbziPNfBici3vA n3m/rr44ORs+WPlZFybjbFZ+0h/gO/g2Gb7QzbDNPlE9P0rGuc7Wf4Vttc9X d0mPyca9WN2HlVydF35t+R95/7XK7XG/926yXfm6dadRdxt1T1L3I3uyn3yF vr2petzrXOO91lp/C+SoZwFawIXa6xI2A2bC4kzsm7V/Luv+edZ7ufH/miP0 1J1v3f3WfwD0X4BXYaF8BsQvyYRfQt/oNb1X1B0c/X9Q5cyCZU6nftX9g/Pd v03c3+r3xun41n8jE3IlT/8ROd17Ce1P5ZOe7b3sI5Yp2SOtw3Mey2PtOznT e9smlj/Yc+tc5z8mHXOC5oKj0/HUeP3ZvzXWM54jNOblQ67nfa72t/8HDJCp Eg== "]], Polygon3DBox[CompressedData[" 1:eJwt2nf8TuUfx/GbEGVlfu/7/t7L6Lb33hIRklWyyc4q29dOtiQpe5MikVFp h/pZkRGi7IaZSknh93o/Pp8/no9z3de5zrnGuc51rnOdO9F1QIv+6QOBwIV0 gUBGtvdFAoF0yI98yIPRiUBgDNKQGznwUDQQyIlCKIHieJ60QzEGi7EQxZL8 TgkE/pcaCHyMNMJ1iK+LR1APtbGIfQswHzvwJQ5gP77BQexDfs7Xm3Pk9fL1 IdwoFgg8hoaoj3qIku559t3lmP8wgPBOtl9jN/ZiD94mbUd0wgq8hUHUb3DC 6n03HgjcwUfktQ4f4xNsR5w6/8j2B5xHSX4X9jZR2+RGQRwln/4qA94g3eso RfnGU6YthD/EBMJn2Z7BfnyDi6jCMd96WxzCJCwifglexCBv53fIZx7neJTz zmabJ2ZplFbtdyzV8o2w/zn2Z4hY26iNthHeiE14H1sj1v66DmqzXfgCGcnj PmRAeqTDTNJ+gPGYjqnY6XVQXQKk+ZJtBVREJVRGeTxAGbMgE+5H5pi1wUmc wk84jVbk3Rld0AJP4h/EEcM8XE21ti+GaxxzGQ9HrX3VziWo9zi2m718O3AY R7AXNcm7Bh5EGHWRigjiqOVxfcjnOfREL/RGeeJf4dw1yeNVthX43YD4engU F/Aj6rP/DPvLsb+M6kp4LPGjMQajMBKf4RMMRXt8ijDH9iN9l4j1fd0D5Ykv m2rneBHj8Bd17oBn8SduRq3/61rfwT38q77EOY7je5zAtxG7p/MgK0ohByZx D7yEqZiCaShOWcamWH9Re6pdl7NdgzexFqsj1gfVNhVRCes531nyPocruIyf cRhTMNn7uO7z0hyfBUk/34aIjQUH/H44ieOokbS2Vz7Kb7aXS+Uryb6NSevT Ibb9iesWsTZUWxYmbgTbt3T/YLhfG12jeuxbj9oxu3d1Dx/B9ziRauNjX9IF kzYGaSyahimYiBl+L6g9ZmE2yno9Lnq9f8Ul/IJ3iU9FYazCUrzsx47SGIwh EUurY45F7BoexDB+D8czeNr7jdqtSMTOu9Kvx7PEz8QKz6Og0lC/wn6NqqAy 9nCdNuIDfIL/oaPfg90wA1P9PMsidu1XepkbowlaoCWexHofO9XOb0es/6V5 WSZ631W/r0hbTqMt+0bsOul6TfF2nYPBft9l9D6qvpoZmTTWsr8DSqKU+rLG HuqSG7+z/w+NWYQ/4Pit2IxteD/Vnll6dr2gtvR2DiMFzX3MCUXsXlT7PoUO aKd+TPz1iD0DNe5rzCmAEPIjL6JITdozSPei2mAg4RxsH0R6ZEdW9fekPSP1 rNyudiFcnPhyyOV1KxqxsX+C7j21CwaovEnrk+qbGt81zg/0eql+gzydroP6 /cNJK4fKU522yYD7fEyuig3ql1iOuXp++Fg11sedangp1eYFo7CbY3KxzYmx EZsHDPW+m6Y+QtpVWIuNeC/VngHf0D77UM3zLZq0eqv+HypPwv+qft6mQdzi d2XSTWdfv4j1GfUdlXOln3sTXku18VL3fFfkjNicZoK3oZ6ReibPU5+h3NmR zec5qkfGmPWdq3quaCyNWt019pZDSRTHl+FA4HP8i5z8zqW6oRO/OyNA+CGP 1/4hlLUQ5d+AkswvTvL7cbYrUArLyHcplhNehIVozHF18QgexuOpNj+oilRE dA95uAQqo5KeHSjjv0t4mUshH/KofTSeITfGkM8GbMJGvIsKKI+VWII1WE2d 4iHSBEmDN/ndh/bqgSfQDL1wH+fMhMzI6m2wnLQ1OLY2ZhNeiOw4g7O4gKxY gsVhS680S1GY4wuigLdBISRSbR4Q9zYIez1TvW2q+TWq5W2nNtSzuQZWU5cF qIyqqB63uM14Uc91zCOcxeugutykHPf79VWdjvG7N3qGLV02nCR8Ag9qrGR7 C3eRUWMe22PU/TKu4DiOYii+oC1n0Rc60S9eZHvC91/EeRzEOWzCVT/HGaUJ WzmyejmV78qwXZerOI0fcQlXcB/5NCWP9GwHkc8N4q7jBcIx4nOkWpz2Jfg9 OMX6rPqu9ul3nPh0HF+fdL+qjxNuTNwdr6vq/Dduhy3uP3yBr/EHGuAy9ni5 fnUKq1xNknZO9a/O6IprXp+vuCaXcQqncRXziF+DVViBt/Fq2PpYA9roMbwS tusxCRMwHlNwnuu8j3PswZfYjy7k1w7tPW+VoSM6oY3v64B3dB9ri6G0SwF+ VyDcHc3REt1QDVXwKOqgFu5Ebf6bxcdejS+jiS+EwiiJ4iiBPiiFMh63Em9j LdZgOaaS/1K2S/Ay4WqUZRXh1RjF7yL8HsZ2nqdR2mVYoPSYpP6HGZiGn2iH OZRrBtvzOIf3iE+iLLZiCzZhc9D2PY6GeAWv+r7H1E/wIT7A+9iGt7zdVEaV q2DS2vAH8jmDX7AX2zGeNP3RD+MwBn9wTW/gd/yG6yFrt4IYrHMiTX3cfyu+ GF5AW657e0xHD3TFDfL5DddxBZfwMvEzdc8gA2YhDaPCVp91GEn4L/L+M2Tn mu7peqEbcui5oPsrbOeb7nlr3JiBcVjJsdu9fXTuk96/L3tZfscW4jdiK9Zj Xdj26374Gte8zMd9/DmCw/gOu7BT4yv5/IQdumcZo9MhvcZq3OPYj1VX9v+j e4/wBuzHXr9X92G3xjrSZ0YGP/b+hKU/zXFng1ZGlfUoDnk5VB7l+y/53Maf uOnv2Lt8v8qt8fN7hDjPQ7pWeN7vqSM+FqoeP+N73PK2/837wt8hG2O/w2mc 9XHyJfLpSX9+DwPVt/VM03tDzPr6z3iWetRBET3LmBfUY1sXT2kOiEcSFtdU c07Sd0Zv9EI/1PdnoJ6FPdEdfX1/T0wlr0kYQngwuqvu9PlBbPt4ml5+zh5+ /72q5xBmxu1enE94KtvpcYvTvq7qByl2Lp3zWdRBFBHURW08gk9J84nWCwjX i9uxXeL2W/GHUuy5XxGVUBPl8AyeQkc0xNNo5OH6aODna+Tn0jnbeLoGCWs7 tWFBtgk8SfwB8jqIX/BXirXVFOqzCK29TQ9pnojvcQqn0Yrj2+IZtERzzTtJ OwIj4zaXGY0qEVtzKMT+0iibsHWIGhip95+E7UshbT7kQX7kRXZkVf8kXQ62 2VBZx6MiKqAcanlcFVTnvFU1z0zY/EnzqBTC+X1u+V/c+r/WlrSWFkU+VIvY sTHCQYQQxmHSfavnkt5laJ+byMXvL2JWX9Uxj6fVMen4PYp9aTFbc9Hay996 vhCfHrcI/4XhhIchzdtL7XaF+Eu4jKveztfxW4rlvwPX8BEO6p2BYzJpvNH6 SdzmUNVQGmVRxsNhFInb3LYgCqMQCng76zrqerZGB7RL2PNOz72xPt731nOP MaECKqI8yiGJ0iiFMiiM5dzrS7EEy9CZ50oTrV2gQML6Xzu9q7JvNBZhMSb4 Md3QG12SdvxCTNL44enm422sxzq8g7XYqzkcvsRHGs+RS+OnxlvsRAq/t7Hd 6sduwWa86WVW2buS7zo9uwmvQGl/NugZoXZ+D1viNk/VnPUBzS3xELKFbf78 r4+Fej7e1ngesvnkYZzysVHzTqX7L2TPJz2nNHbexF3cwT1/rqYL22/Fp9ez Q3MrzalQCmW8rBqfD+Fbz0tzVvUDvdts9bKrb9Ti+JpopTmft4GuaRVkoq7N qH9GzaH43RQt8LBf30fDNu/U/PMZzVd9LqCy5iU+rGcHUvWcClv91Q6K6+Zj dhsfnzROBonP7W2nNtQ1KoSiuF/zPfLIHrRwUe93GQg/mbSwyq2yPpG0+AZe PpWzDuohjoJ4UHNC0j3AtqmPmw19TG0StzTKW/k9nbT0xb0sii+GIpo/+DEa j1vpHopbXLu4vUs29vM9TtpG+IH6V2LbMGz3dMu4jb83Uuz+7hK2d1W9s7ZB R5RgfzF0wh+kOZZi/eCav3/kJxxBzOunOjWnzFnY5gvbtbjn/Sji11ZtouvV NmnXeYjf4yV8vqv5WgK5EVE/QF2fz2rOOgUzCVfVmh7z5X7+bq539Cv4DdfR HT097teolakFx2Rm+zO/L2K+1s3xOS5ELV77nyJdNraX+H1Z602EWxH3utYL +V2L8BzCawivxWseVlxt9s3VuoriaefX/fmtOYbmGmO9zkMxweexP5H2jOel 86+O2vqg1ki/JtwebfEpdmEvdvva3B4Pa10+OzZgFfb7uspX+BAfefiAn+Nj DGMcHIohGI7vYlZn1b110uqtMk3HuKitp2hdZSbhhaRfgjl4DYsTVna1UZ2k tYnaZiDnHIA2aIomyEp/yIwsyIgMaJyw+b7m/S/4+sF18r+B33V/4xqu4AIu 4jzOoVPU1s21Vt7N179HEj8C2Tj3A3hQ9z+i6otoTxlTQ/ZupHiF2yXtPUnl 1vWcizf9erSO2bem5miGEbjNsX/iTNDmy5o3ryPtG5zjkaR9k9G3mTmYFbV9 +q218OVYiiVYhgVR6zPqO3WTdg6l19rXP9hBeCvex/3edpm9bplC1je0Xvse tvv1/cjDr2OF9wO9Q+ldKp/uX82hg1aWRfgRP+AUxvh117WegVF4iTpPiNna yESMx3yu0wLMwiuYh9qkrYPO6Igufl/qHtV6mtZkb0RtnjJa39wwGEN1v3D8 DMz2fvUqGtIet2iPihxTE38TrsH2jtbNkvZb8Y2Stl6odUOl1THjo7aWqfVL 9eGxSPNxoy9GYDhu0sY9fMzQ2HE7YvWdjmmae+s9GM+rT/txOr4XnkNplFO/ 8/NViNq3KH2TGoShnm6EH6/vg7nUxr5+Otbb72WM8zyV92SM0dyXtCdxGIdw ApNJuworsdq/z+h+PKfvGJjr7afvd/qOV51jHkNDVI3ab30H1ffQylG7n3Vf 611yN5b6dZjl13iR3+e6p/W9Vd9dn0PvmH1P0ncJjVMar9pFbU1FaysXsCxh 52tNfCs0Q3O0jNr5Z/t1n+ltoDrM8TFGx57ld3e01TcZ9ENflOX4MlH7ZqXv AvouuZj4hd52072fFo3aOr3W6+9prT1q79gtErZ2qTHnhN432D6fsO/Aejf9 Q89Q9S1vN7Vfg6idr0jUvkHoW4S+geudIs378bCYvV/oHtV4p/F+eNDGoR6e Zwt/d+mNN0m72vuZrv3amH3D03jWzr85BDV2Ih/y4pbGB3QK2RipsbIz4Y4a y/AMWqKDxjsPN0cLPIknPI3StkUbPB2y9bJaqIOGIVs7e4x765y+q5FvKZzX d2byy48U5EJO3KY8D8XsO6q+p6p8XTi+GVppbuvl0xpQaZ83lgjZepDeL/Re sxNfYZeutb/j6R2hPQYkbAwvi3KqW9LG845+3QZ6Or1DNPU8m3l9G2Mj59yg 53DM3sU3oabmKOR/FxUJV8ezxHfDGk//bszWIrQmEdT46fXVmpLWnLRm9zAK YK3mA5oD4LjPm47iiMetw2HswW5978E+7E2xNTattV3ARZzFDOInc965Qfvm USlp3ya0ZqjvNnej9n1L8yLNj5RWx1TRc5jw7KCtxzXVHDVocz69a1/y90m9 V+7UOx4WYKGXa7nmXFpTxDLMT7Frrz5QAgkURwPO2RhNPA+t9dUI2npnZdRE dc2dg7Z2WCRo63BqK51L/apB0r6J69v4NrZbsBqrsAGLscjLtsDL8iuu4hp+ xk8pdn21vqN1ni5+3f6mDf/BRPrEWqzxMXasX9s1fr+d8fnEeV/D0lrWrqCt k2pttTxlnKw1Cq1D4ShOed2mqA09vdKUI+1iwl/hdbyBheoj9K1CKIwECmI6 8QdxAIeDtvY6kXMMDtl3AX0LKJ20330xDPuDtk95fopFQVvLVf4v6VoGbZ/K VYFjJ7H9PGjx2l+WuGDI1rC11q1vOfqm8yHtsBVHcDRmc0KtvWgN5jD2Y6/m QqT/OmjXXuu7WvPdg91B26d1YK0N7whavvq2oTLvC9o3ji88XuWqTlm2eb5b 8D42Yx+24zMc8Hyb+zimcWskRqA4SqIYiiCMdznnkJC1mdqyTNLGAY1FfXxM 1Pg3LmTv9Xq/n6y2Dtn7fw90R0+NBSH7JrcuZv8Vao92MRuz1/g48QSW+1hS 3cdPfePSt645fg+meZk1xmpM09jWN2HrhHoG9Pa8lV8vjWlJm+v18XJrbM+N /t4P+mEAnsMUTPM6zMQM/B/NlKLv "]], Polygon3DBox[CompressedData[" 1:eJxN1FlvlUUYAOChovFGQONCW1rb3yAikhiDC1tFjReCGoUesEIrPV1oqxEX duRCtkKhKhCjspReaIxsIuJKNC4gIqBoSIC2QmlLaVlCxOfLNxdePJk555uZ d+adpTiTfaIyJ4QwjhtoLgihkbVkh4VQzTr16qIQqqiknAqyLGAeZXeGsFA5 n7lMKg5hMifUpypLmc5J7U7TxlGOc4LBDOImhtBVGEJPYdr3lDE62MFOpvjv TeWiGGspS1hMRt8xlDCNUqbSRDNvxTknfdf5nYlzS8bc7b8fmKC+UrmCN6hj GctjrGSNq4rSnKymkZqYkzLqmR37dslfN52sZBXnkrxa20xqmE0tWYbnhXAv I7iHkdzNFn028QFbaWEzN+bbN9pp46q2l/lL7G/4nO/ZTye3+NabG8Jo5agY 6y4GMyTWkzn8q81Vztr7M3TQThv/JHyroo0OztDOK2JsYRMtbGUzrTGHtXw3 NIRtsU3S9w7xbqOR1QRetJYK3mE9O9hONVW00MrL1PMpH/MRn8Q2WQ6K8SuH +I3D/MQ+fon1nznlLPyoPM4evi5Kc/g3x/idIxwoSsdM+u7l3biny1hOM2/H +grWs4GNyT3iBeutYCazyFLG7rjGDTSykZ1c9O16+biVLvVu+nPTs7SW8TTF WMkcpmiX4XXm0sQaSo01K+YwibWLPfnp2Wugjkd5iHqKjTWC+7mPcYzldmMN ZWBeOrdLuenePW2sp5jEM0zmSWYkMeIevUQD06ilLu5RdWxTw1h373HGU8Jj TCxOx6ykPD89G8lankvyY05VHOXDeEf6OMRhjvAnV+ih3NrK6HaGzxekd3AG C1jKEl7jVeaxMNbnsIiL+vTyvNjT41qejWvP5Kex/uASl+Pdv8DwmNvRPMjD dBakOZ/II0zggdhmjrO1Jr45rfFONSR3ON615I4M4LT6Sa6Rk5fewaTNWfq4 TuzANXMbqMxhwLD0rUve0u18Fs/8LvrM6UJcYz89BWmuvvDtq3jmk7vzZXxb thmrP+Y8eaPe5z1uzkvP6rnc9M1J3pZBeenakzWOYSSjKClM9+5Y3KPz9Ma3 brFv8/+3F8ncrrDfG/ItB9nLPg7wH0IyKLA= "]]}]}, {RGBColor[1, 0, 0], EdgeForm[None], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxNmgnUl9MWxv8NityEdJs0eKeMaVKhSWlQKkVEhlApCpExkRCKUkmFLhVJ GStDMkWmKFQURYSijNeY8T6/tR/rWut71nneffbZZ5995vP/9jnjvN7nli2V Sk3KlUr6Kx1VlEpTklJpnnCa+LSsVLpVOFV8j7RUqiqcIl4vL5V+zkJnVBZ6 cHTHmJNe7bIVXB45slGWY488bNbJw+6Z4i9Ivsp1Vc0jD06d/81CZ7nyl6XB sbPcHBnl+4tXUrld8+DXqk01zEn3sk3sfZ8Fr/QPObJK5siq2reSbP8pW+eI zxWfIwxBP404nC3eULoH5cGbK61RBK/hvLOU1hZ2L4JnKlsnDX5VEt9wZOgN FCoSqzR4bedh84I86hjivmhvHw6XbGgefl4m3bpF6Hwl/rV9Jv3enHJHCIPF qwmXmnfP43uwZd3dLmxf4HqnuU/h2PjKvhED/Bgg/m+hehExrOA+g69MI6YX i/+isjuEy8SXUo/5IKUr8tD5Ngu9EUW0qVIR/AHZWCBcKP6ndKeYN3T8KVuR sVuETey9nodODZdBjmytcKn4JVn4cAn66pfKeXBs1CmC75LHN5z8XVx2idLt WfCLs7CFfewNNKeeZ4gjfZFF25Ajo/1niHdWOyoX4SdtapJHe2kr4+90+88Y gH/n9lL2lTTK9/cYruTxz5x4NQkdbNd0vzDnVrpfGOMVbKembWH/qSTqwB98 aeh6qf8pzwvmxCjhIvG93U8j3Ff00wjPnbruF/q8onk99/FFHrf3pWETeyNt s67z4OQvalAqnewx1s3xJ35LPPa6Kj3CnBS9yUIt1bNTFnwvpVWEhJhLp2Me cmS1rUNay3wn5on4LUpPlw810+BnKx2chg752J0s/6YIO0t2M3Nc+aOFm8Sn KmaLkyhLOWxdLn6v6p+fh85OzNkk+I4kykwSbyzb9YvgewgHZ8Hr+xubqco+ 2iA4PvI9ybqN/25LFu25QdiWRF0T3Eby8PmVJPweK/69/CpTBK8lnuXBScdJ b5T4virXKgtO2lq4kn5x25E3yEJvlNvS3Ly12zVReEP2Xk+Ck+6dBt+YRN5E x/+MNPzE9lLzz5QubBAcGd+0q6zbNsHtq5gFJy3remu7T+HUWduceja63pru L8ZVuSzGGTHckkQc4Z8r/UwYT0yUf4/0xom3F++QB2dMtjefl8cYhpN/vznp PPNuHsM3CjOyWF/Gefxji/HDOs0Yot5yedSNnDF1lzCIMV/8f39hP6nr/aVe GvsN7arutiEnn7xBLlfBfEEStuC/J/E90Pm1LYeTx/rG+seaTnzqpxEjxjbj bod5+TTGPeOqjMfZ9UpLKndyFryP0l3MScvYJuX2SYOT1jfHPnnE7Tvp3ml9 +oc+ww62j83CB+ZleesT4+2ui3zqJrb051zzubYJJ/3OnLTkviAta05K32D/ C+vDqecLc+zMcL20r+Q9hX1kqde67R4DrJOskayNgzhncGZBRxgt3CF8JLwg LBNOFk4QjvFezp5+ttBb6GV5J6GN0E44VDhMaCq0tryV8IiwXHhCGCacZztb hM+ET4W3hXeEdXmssZco7ZKHnwOErcIqYaU5OtfloQdnPb5Z2Ee8EmcMt+Vj 20eObGYWnBS9c4UPJN/Ifiz0FS4SpgrThduEKxhbwrXYSmI8MmYaC42Eg4U2 woHC/mmsB6xFHwibhI+EzcJ+kjcUcuFkoYVwqHl/4UTbbCocIZQVWgl/qexY +3A7c1uy1kJ14V3lrRMO43xpn9GZKdkU5rjSWUpnC3fnEbOJbssI9mm3l74+ VThJOEi2DnFbzlJ8BnDWE67yOLnSOvu6LV2FY4ReaZxZOCO9ITwqPCYsEKoI uwu7CXvQBvNPZXeTkIu/zz6jdL332Qn2dQJ7DHNOmCKMZV/yvYLz6a7cKbgz WOc34Q/mO/UwN4Sqwov0PT4p/Vj4SNiSxRxjrqH/p8v+Kvwg/GT+rlBe+Wuz uGcg526wVHhGeEV4Q1gpvCl86HZ9ILzmutDZKnzueh+WvYXCA3mMw2HCUKFj FudtzsyM+dWOJ7ovWZ852MfzlLnzlvBmHvvAfXnsBfeYzxXmuC8YAw96TjIf H9H4eDSJPjpYaOb5S7+fI5wp3C/cJ8wR7jWfJzzrti8RnhKeM6e/JrqPllm+ XHgviz6mf99xTInnYmGh8IDwuPBEFn20xvF8XXhQeMg6w9Xn53HuE4YK55uf IBwn9Eam8fMUZxt0xbcq3WK+gT1FGC7+ahpnV87YnC05n8N3Vvp7FjoLlb/Y +qQvWR9d9LD5h9Jq1qHOhfYBzvkYPioJn14UXhaeF54VHhMe4Zxq/qBQiTVE 2MX1oY+vzAvWOeYGNrFdqwj5RM/vQ+X34cJh9r+m/Vhhm2/Yz1fsG/4Tj62O z0dKvzDfLY3vc4sYX6yRcNIvzV/12IMje80xJH7cW+Cc2YkvOuRTZhjnDc5i 9ucltxH5DUpnpbFncZ6fazmye+0b/fmH40/sd7MO9q63Du3YYDnlqG+oeBP5 0ywLXtXfcGR8o48N/ODOs8pxu014W7hVWC2sETZ6HX5HWCuU8drNuv2l8JPw BWcgySq7T9lHPvG+wB7xofeLSzyeL8a2vrcKbwpfCdtt5w5hhnB7EuveGcIp wnTLpwkvCHOSWP+/F1bbDvtUW6/VrNtHCV2EY4VunjtV0thj2F+eVZlnhKXC 08JL5rOFe7hnCAu9huDPeOFmy/eUT3t47a0s/CuLtZo7EnelmsJ41XGTME64 VLjabZ9p+UPCdPY2x/xT4WNhk/Ce8D6xZw9wbJFPFj5wv6wT1ltnmNeNeWnM kZZCC/aeLO4a3C8SYT+hrvCt9L4UtnsOfOx5UYc9IA3/0dkh/JLG3aS5bX2j 7+9clvX8SKGDcCB7kO2jw1vIQa63fhYcfzIhFa7wmbaNMJa7ivBLHncl4nW7 cEIR6/hi9gTOxsIic9JFiXkSYwT+otLHknjTu993TDhve/db526ly81JX7QO 98tbLccG9R3PuT2P82QX8Ycl31XpcayTwvN58HeVnma+Jo9v9PfyPaGb0ivU 1t8lP7aIN6VqtoONNZZflkUevJq/8Yexj9/o98+jbmz+ynopnd5eQ5jX3cV7 ec9FPkmyGcIxRdSPH+hQjvI9i3hj+dP8L84n+j5a/CTmTRFy8snrZjuUxc5Q 7/H4Od3ztLt9ww/iMD+J2CEfnkXd3ezDyCzq6pdGffiMvyPclguyKAOnHr57 FLF/vuw2jvA8QD7feyztnaV0zyLsc/5skkYM6SvieLD4OOl0Yoyy18jHb/Lg rBHLkuCsFXyjf2MWZfbHLn4JjcTXyvaHaXBSYoh+V69jjRzbzWnYXOI1CB3W utuEhuI9vP439P47QN9ZEXeBnkIufovK3ZYEJ/3Wcvy/xeOZscy79n7iJ8p2 X9vHXg/7udlrDW3pn0V78KdGFu1s631kheX4WMOcmNG2A/FZ6RjVdYB4H9n7 0bxdGnsYOj/Jxx/z4MSMMugcnUYZ6uIMudVyfCTvAO+Df3hOMZ/mO26neJ84 wLHq4bZg/0f3I334nPuRdKI5/bzEfnbxngEnbWefsdHdfd0vixjBiWU/10tb u7he9Pt6PHPXaep51D6Nb8Y84505eGQR9zHuYieJ7yzZOssfSmLNIiYbvHcj nyzZ80lw+pbvfl5DWBP6eV3iXbGjMD6P9Qr5c3no9XM+74/9nJLHWtdCaUuh k/udc0Nn+jqN3zJO9JrE2gTnrvt+Hjrk83ZKW/ZmbUmD/5TGNz7j+6Q8fJuh dFQecmJAm5GzTsywHN2pjg+x4a5LvZuUfmhOik99iU8e90P2Du51V7pd2/Jo GzpT/iFvpHSw9a90WeS8IWyz/M4k9iH8mec51df6Y2zzmjzqpizxa2TfPsnj LYB1aUEWaxNyZFus82Qeeui87PXqBPvJfRdOeqfrpc5rXJbYb3J/rfA4Yb/m HZG3xU7uwxVeJzkjzPYay17B3nBEEWe41ywf5rNEe8+pLeYDPAfRR3e85eST 16GIt27GHzrjfL6Bb0ujDvg0n32oC19meY6wNrMHsNdMSGNPgrOOTrBOFc8l 1gHGNfsr6/zsLNZ6OPFjf2qn9ELpTvXex5yb7fFcwWO6VxH7PPs9vuHXNsuf 8Bmgo+tiXHZw+9g74LzrV/KY/yGNsQ7/1WcnOGP2B8+dau5vbDL2R5qTjrfN IXnYbedYjbOdX3wmw8/xljPeGL8DPfY4pzB2e7lNtIFxRWwYf+wRrHusgdj/ Txox6uG4oUdd1MN61MFtHeJ4TnWftnP/Uh6b7D/feL5wXmPusWfdlMe97pAi 9gv2TX6z4C23p8+BbZVexzlVfHgeMUeH/B15yMu7P7DT2ft1c8uG2z62R2fB SS+1/ugkyowR3yC+Pgm+3veaq4t4P+GtZnQRbzd/c+S8r8B5E9lsjuzpLMoW 0kny4PXzKANHxjd1vZ1E3S3EywnHpyGn/jX2hxS9ayzn3tXS+r+a/5zEWwCc lLeBxkXcU3krgfN+crw5KW9/TcTvyuJNGU7Km3/TIs4kJdaJIs4S7yUh52zw l+1gY7vt8HsBttCh3FlpcFLKEB/iRBwpi1+bbQcb+Ir/vyXRnpaOB+1kzHDG 4V27pdv9m+OGfepr4XrL2WfGHn5jn3poP3LaQflm1kWvq9cQzpnNbJ88Yt4z jXspfUf/Fx4DufuU3xF4b5xlTvq4OfO6uzm/M8w2J5/5PrKIN8hTzfvl8c34 Z+yP9VzgHXCSOW/y3JFGevwPd9lFniNd3Y5BacixfYptYoPyVxXxOwa/Z8DZ F/id6boi9grOFty5uG/dkQYfk8Z9Fc7vSmPMkXE3wz7+4uvlXs9oP3Luc21t E3vPuCwpv0U18bir6Hbh7yK36/w84oJvTbyXwetlcbe8zv7WM0d2oDnp/uak h5iTNvWcZb4yh68t4t3tySz6nfdt+h59dJtYfkAaefh2bh7+UZb3ugets8Zr CLEtm0Wsr3KMy7qN9BvlkVd3H2CH33bKmDOfHrJN5j11X+t5epflW71W0O+7 eRyjUy0PW3DaVM3zi7WBedXC84v5c2gRvwF+LZ0GSh+W/qNZcPapdeaLsvgt Ac4b58Pm6C7yvWCV0rey8IcxuLhB3Cl4v1jr8zz5n7ssb6bLzZ/P4ht/+L0Y n7in/CwfTtd3K/NdLedczTdyZOyVrYs4C1SxDuVOtP2ZPivCaRP1tSnifMVv wPg50esbfnLn2GgdfkNmL0S+Oot2HlbEma5xHpz3tuPMB/u8d7h48zR+C0HO e918c8rd7PhfwXuSbWKD8siREQvsdPJZet8i7tE7bB8Z/6MA53eXBmnwjmmU gR+Zxjf+c+5b7f6ifRtsn3Lo0V7iQZsPt23a0MrxJOZtHI+XXZb2UTcx565D 33Df5K2FNxR8Zu/m7s96zv7P3TX1GOP3KXTIp21FEf9bwf9RwEmXmHOmII/+ 4p7K2MIm+0Mf29nhswTjgf/7YEzAK/sbO0t8r8cH6v/BOlWsxzszv8t19rkF 2zd5vDHWbnRZytEGzku8Mbzu8ww+8Ds0+jd6DP8PC0LHSg== "]], Polygon3DBox[CompressedData[" 1:eJxNmHm812MWx38UkaQsSSR+3+/vKhrSSBJTZG2zUxkkWcqoUKQiqlu3vaim fdEVRaVuE+UihRZbMrmSzCiRpCQtWr0/r/PpNfPH+/Us3/Oc55zznGf5/c5u 0/HmDkdmMpkeR2QypSkfzWUydaAjdIC6SSZzCVwK9eDNbHyX3BvUb6GcTv9r 0I76f+BrWAPfSAbehw3wpnVK9yPQCe6Hh6AN3KsxaSazHJbBGqiP3suhITRI Qk5zaq7WkEdfdTgPVmPPIbiM+sVwkHptyovsg3zRXLdax+E521jXPTCVOQvh W1gH19HXFcbBZbnQK/2yqw4U0vcSNIOmuYhTCfN+k414NbT9leCUJGKxBBY7 JrJlRhIxlE13QEtoAbfDNmz4FbbCL7AF/oA9sBl+dp/qP6Xh6zlJxEU+j0DH MHgeesMNcDVcBc3hYBLl9bCf+kjK4R6jsbPxYxrMhDG074SH4QnbqT59+yfl 0/A5NmyEDbAyjXV+2OO03jPom24ZyepbfcXNOvt6Xtn6nOM+Hi53/LenERPF IkN7AHSDITAYBkJ39w2wTumuB51zYdf3sB6+gyfpe8prfJ3nmgCTYKLH1YXH Pb67/ezhORS3xlAqjfj1tw2auwDOgxpwEVzgUu1acAnk20/ZIFvaoud+aA/t oCF9V8IV0MBrs4h4L87GGt2bxpya6/Y01vZauMZr3MR5eSPfbkijT98aWl8D 625sX55z7HvZpgL7otgOsi7letc0dDb3PA08fqPXd6r3z7Fp5NzhXCugPUA2 Qz/n7R7nuNb1Ke09ZNfBzdRPpDwVToPT4Xz6PoAVyvU0+qrAKVAJVtO3CErg S8t+DKs8pgIyJ8AZ8AbtirmY43SPn09f1VzI6fsxsB27j6ZdGhanMfZ1ytnQ BZ6AMTAaPnNeK/c/hRehB3SDsYoHY4+HclAG5tI3D4pgjnVK91y3X4UpMBle cTkOXnL7JHScbB/ki76Nh2mW6WYbR3v+KbZprHXJr7Moq8FRynnKSVBG3zxu jHVK94Q0ZPStrGOheL5pu4thSRpxWggXwIdeB61dZ+05x0x2nQIDoSecmkZe KQdudn6tTeNO0F3wlWUKnDuV4Bl41jlVYD3PuC7Z1nAntIKh0B06QUd4XOub izXRWuykPRKGQS8YAZVhlPvLOW6jHYvJ1tPOfklfiXNGuaL80z32Tho5udq6 B0Mfz1Hk9Z/o2GquNpYb6dzpbt3dPEZje8Nznru9Y3rYhs6ObTf7+ig8ZFtV tvW4jtbVF/Kts7frDeCqNPah9qPudd3n5+p8YD8MhgupnwnVcrFn5juHqnnd tF7LaW+CT2CpY6xYl4Udaezr1HtYe7BtLu5k3cVfQqJzA7lDkKW+yv1fwDs+ 8wp8Nt1GfY/2Q14mcxzspr4P9mt/0K6YF+e4zvPN8BNscSkbZetq+BBWwAPo 2+8ckd2/w8Pyi3YJ3JdGudqyausO1pmms0x3ld5Bkte4x9J4G611n759B+th pfuVp3fA32F4GrbJ1gdt41zO/SKYTX2W81ZnyXGOaWN8nHcO9yGUz4tzT+ef ziWdRz2RmQdTc3HPKaaKrdbxLKgOpRz3c+AtKIaFsMB9icflwQdwF9yUi3fN AsvqTaK3ydtep2Lr0rd3c/GGkYz6F7lP3/KTyC/lWU2P/cIyxbZ1dxo5J5v1 Vqtuu/RmK7I9smtuLs7Gyrm4Q3RG/gXOz8W9rPu4hnNauaw7uTa8kIQdNS1b 27ZojOKu+BdZv94hW50n+9J4M+jtMAOm5eLdojeF+hu5X+/FQn9f5rxb6rz7 0PWPnIPzYWYu3tF6Py9k7otz8QbXW3yO82CmZWvanxq29xdk9sFe+BVK8OtH 2ARfwfXY3ByawXXQBJr63LwbWqbxxtA+u9Vngs6GutDI5SXQ0O1r09ApXdek cYbrLL8pjffHTubcDbvg9yRyXXpvcc7/Rt8O2ApbktDTzDY1sc7DdjZO42xv 4T3TyvWW1nlYt2y/zXPsQ+eRlJdDaTgX8iCBOlBfZ00S3y61jGQvc/tvkLFM fdePgANJ9NWifmEa957uu/McmzzPdQVc6f4a8FdI0xhX27KKZ/X/syu1XB3L 1LJuvX/aMucPsAHuS8IOvbP0FpWvK+F72AyjYS058DmshO9gM/wM22CrS7V/ cb5IbhX8ABvha1gDo6AAPoWvsqH3E//uKXH/x7AdfofdsMtzrrSuTbDDMvq2 BX6DnR6z3TrXetx/oTs+9IBu8BScnMYbQne93gMVoCKcCMd7nQ44FlrLXc6/ qtTPgKepP2md3R3HH7xHSrxP1uq3pfeL4qq3/pHOJekpD3uT0Kd301HOc72R TrA9FSxX3nXl+V7L7PReKGu79eYoZ/uVW3pDH7Qfb0ExvAsbHQPF4hl4GSbB ZJgK06ATd0AVGMl98DTxq0m9F2U/2rs4HzK0D1EehN90zjBmsX7nw3xYDiuS 6B+o369wEpwIS2zLO/A6zHYOKobr4UHFFv1VYQTzrVDu0TcKxsAX8J51Stci z7vY/Wpvw6Zfbdt23RuwNxd3uu72LuguQvdwOIN6XxjAPANo79A5Sbsr7f60 n6U8i/apeTFW74HBMJdvBbBUv6loz6GeD+0d52L7tkA+8b0CDOJ7T+SPpV4W joEy0BqW0T+U732yYXupvIizfKhHuZWyN997ZMOWSnnh1z77qbWonBf+rmPO 5/W7EobBKvgsiTgqfv92bn7mb1qHuTDHNhc6J5QLr8I4mACzYCY8BuNhLHRN 4n+IQsu+5m8TPG6sc0JrNA+Kkvjv4iWPme76FM9ZaBtky0LHT7n5aBL7Tjn6 OEz0PI957IuWk46+xGiPzx2dN33p65PEG0F3tPZtL3jW+2CWbSyyf/0dv+FQ AG87X7Wm2ktD4dsk4jzMsdR+X+mYdoGRtrODZfrbBtmit8IQ1/Ntg2zpmcSe HOI5hiX/s72/bemXxD4Y5Xk6268+/qY3dhk4BkrB0bA0ib1XAa6FZtA8iXtA e0//1bwCs/yfzWSYAh/A+5AgcxpUhqx8y0aM82EEDHK9HwyBl2G6dUr3A4xp BS3gLuuQrqqQJnFPrPK5vsU6hsK7MDgb4+6Buz1+hueQbv3XJF/PhqPsc2fH RrF/BKrBBsspNuXgCMhA2SR8yLcfL9iPYbZBtlyVxP9j+p/sAtshe+6Fh+Bf yMzPxtvqDeuQroHwvMtB1jXY95Tuq9sYe0sSc/d1rmpu6W4NbTzHq/S9Zp/l ewfnlnL/H0mMG2WbNb4ifddAI6+5bFuQjXegbKxF39VJ+CV/Wnq+e7xGmmue 11BzFsKLMAmmwn44YJtkm3JL53tFz3f4TaA9+IfZYx+VO3oj6G25xnu0lNeu dBJ6y1Oe4HU6Dm53zipXH/Qc8u1K53Mj+yufalmHdM2zjUc7Lw7Y9qbOf+ls 4tw+Hao4Lyu7fqZzVPVvs5FHZzpvlD/63/ig17GpdWk9i50PyoslMAEmwjgY n403jt46eqd85LhO8b6TnPbKnV4XrUclx0Nx0f/B+h9vkddlqmO7zXFVPG9A 5sYk3kU/eh8X25b3vZbveU7N/SdHv+Y2 "]], Polygon3DBox[CompressedData[" 1:eJwt13d4TlccwPErrVYrYtYmvO+9eWsVtfdqa3WQttSs2rWCGqFJJCgPMWOv GDFrByFGzESsDBJ7RMQeLRFRur6/5/z++Dzn3vOec+7Z57wVewf4D/OyLCsa eZHqtqxkpGAx5qOiY1kVUB4xtmXtwXWXZfXmt17ojgYozu8fYR+/FyT0wWzM wngEYTI68rs/bvA8jHAIfiZ/TwzEIEz0WJY3v5/iOyE8JxLm5z2ctEE8/0Lc OMIJvA8n/VgEYwQGS1nE98JszMIMdCD+G1RFU3TEVOKnoSSKoChmYg5640fN u5hvL8B8TMFSXCZ/OtJwBRcRggk4Sd2CqWMC4VXyX0Ei0pGGEuSfxG/jSTON sBTvPbQPpC/CiO9H2A2fop72cxcUIm05FEVh7ee9lFmW8BjhcR2jRaRdgNFY qGMZgKEYhiHaVxewBHMRgeuIxX7pU+o2irqMJ7zB+01t73lNV1vrVws1UR2l /WgPCsAbczzmuSB8EO4x8RWo43vU+Tl5/kA13isS5sMdvpeFCjzfIj4Ld3BX 5g0+Jt4PHlSCg1cyNpT9mjAXOY4Z6ypuk74aKuNdx3w3r2PGRsajEPUpg2J+ Jv9MymlJ2laooW1rIe2nTqUJy6AsbvDuRXoLTynnLfLwnEH8bTzQdmRiIWU+ k+/yDS+85PkfzfM3XuKNbdruq9+6pXnzkD5b1o/H5JP8rzRPDrLxAk3I1wiN 4YUSeJ+0+TCPvOUIfRFCmS5+s2W+8jyG3+prn6bzfhENef6QtOVRFhEeU04o 3w/EOExEiLbjX7h5fscxfbCH/HE4hGXYipLSBsoe5zHzX9bBVF1TYfhN94gC OC3r22P2ANkLdvPc323WiayNUN6TCI9hL07jLM5IvWHhnMaFyZ6CIN0rxuA2 MuCD/DLPkIB47MY+HMGvfGc6dbAds05lvUq64ygiax2JeED7U3Se3sY97CSv 2236Wvp8NO8ZxJ+SPRT3NV2G5snEAZy0zfjm4j/tW5kb/dEPfTEAfWzTXmn7 KRTDB9Ju4i/gd6Qi2Tbr6CY8tMEPDrx5X4D5sl8gP74jfy51fYlvefZ3mzGf gBVYjmVYwu/LEIlVWIR+xP+EvuiPPjKWWq9HyNJ+PkP8SZxDEs7qPpCP7/9F +CceYwPxm9AKkViPzuiE7+GPDuiGLvpbd3TFDmzFNmzHFseMudRBzrdreIir yJQ9B5fcZh8/T9o4HEKa1i8ex3FCy5byjmlcR63LUQxBIwzGUAzCG8p8gSfa ttf6/AxPdf+T9gaQtg7qYqTm3YMomf/yXfp4s2POPNm/RyJQ5/NdHJb5SpqR zLNoZOt3C9GvBXR8/WT/lHkAR9as7Lvwtc2e7EJ5lJFzHD4oh1Iy1yj7nMvs b7I3yf53l/rc0b7IQBZeucwceouneOgyY/0AA3Ru3JczlPgkXNI9J03OduIf 4gkeY7TOIVmj3rq2ZY5fkT6iTkNtc4+4LuOLa7Kv457W5T5lvsBzZCMZj/EI 9/BE6ydz9qJjxj5J65fLd3KQl/JLax/sJG20y8yrnY4ZjyjeV+paWIF1LjNu 8nsMVmOVzpMe6KnzVOZuYe3nYiiudxCZ25nangydV4lIQDpSkSx15TspSMUF bZusmbX4Eu2xEZUoswoqo6qO7wZs0j1iMzaiuaZric/RCmGYhM80LhiXtZ9T tC6X5Fv001fohM66b8i9aZGsQ+kvOQN53uA29yS5GwUxR3chAIG8h1J2CMa6 zPmVR8e8oJ5lMrdljsv9RO4kI8g33GPSSz65D8q9UO45chdchTXYKO+2mS+D de8ciHnUJwJzZP7quNXRM7SZ29wT5c4g98iumCt5EIEZxK/AckRiuuZpjrZo 5zZ3TDkHd+mZEo0dbpM3XM+tGGxzm3NQ7sjB2mdyx8zRudtBy2uDH3SvG4NR uj7WYKVj9uconWuNdZ3XRwM0xCHKikUMDuIA1uIIIhCOuXL26x5WDdVRS/ZR 8q9EJHZjC6KxwzZ3/q0aJ/NqHdZjLaIwU8YNR7FGv9GO+Pa2uavLPbuHri3Z 45br2bIUgYzvRMKv+b2tzEeex3pMKO+tEeoyZ95ZxCNB9ipMwWTb3Oln6bjV pi31UQ8NtG2yB7ewzTqR/U/uoodxFEcQh1g0Q1M00j6tp+n22+buvR0nUBM1 YOseW1f63jZn+0FNH6txUrb8N5A7gZz78bRltfZVnI5RU+r4BVqjjYytY87f xdil+9FSTdfEMedlSzTHJ7StrtvMa7kDy135f+dnVLY= "]]}]}, {}, {}, {}, {}, {}, {}}, { {GrayLevel[0], Line3DBox[CompressedData[" 1:eJwl1Md3D1EUAOAXBElIhIheokWNXs+xxEKPXhf+ALbO4dhYWWshpOq9C9F7 773XiOghevuGxZ1v3n137pvfzJtf2rQZmdNjQgjVHOa3CSE6r5seQkZqCKmU CtscWnM7pcIutuNOtuUOtuJWtuQWtuBmpjHGRV24zziDe9mJxezMPyyuG8JP /hZFzn+wg7kiduQetuduLtfvGxsar2YDrmEjrmVjbmJzbmQzbmBTrmcTrmO+ PpVEgaginlYO4b78Yz5jpVi56AHwOdeoiRWX3F9l7ucv+Qr1j/iJD1nOB1yq 5jXnqHsf/R59SlhaxRos4RNmq3vF2erKOIsfuUS+nPXdwkpKh0J6NWEVF5t/ wSy+ZIp8Pmszj3VYwLzopYl5GrwzznH+gTWklzKOixnPJUxgFtepqyWSLZjE QTbHKfmBPMkBvM4JvMHxvMZxvM1JvMWJvMkVeiSKqcZ3jSfzDqfwHteaSxHp 1qvD6uKNe47jcDVn1QzjeY7kOY5gvPnRvGg8hKc5mGc4lJeZyQscxUscw6sc yytcpUc1UWa9quzjGRyV78XD7MFD7Mkj7M23nKv+DWeylP3kj7EvT7A/j3OZ nl+ivavuM7vLH2BX7mc3HmSuuu8sUPc1uo4V0R7hJ9ZTt4KJzGZNLuNq19UW qZ5dMpPkl8vXYi6TmcNCczWj70e/BK4UNdL/bfGwyLwtGRbSFg4Lom8g/P9f +AtS6J7e "]], Line3DBox[{7, 6, 8, 7}], Line3DBox[{60, 59, 258, 60}], Line3DBox[{328, 329, 330, 328}], Line3DBox[{1069, 1070, 1072, 1069}]}, {GrayLevel[0], Line3DBox[CompressedData[" 1:eJwl0tlXTWEYwOEvhIW47FQnHKEMKcdYZiEUpYHMZGouSiJlirCKKHGp6xDX +mMMf0RurOXZy8VvPfvdF3u9e+8vUd9e1ZYSQphSem4IjbEQstjKTLZxC19y G7dqyPV2DrOIr1jMF9zEQSb5nJv5lBv5jDv4mhf5hAUcYCGn1KLviRCa2JAZ woVoJ17mR17iBOs5qStKms8zm+cY51ne99w83mEOu7mCn9WsW+Zl7GSCXVzO 21zJL7qqr/Zp4OyMEI5xFssZWMYUnuYSnuFcVjCVxzmHlZzHOi7mKS5kNRfw BKs03/VJprGWi1jDcTvt5Rh3c5R7+I77+J77+YEH+IY7OcJdfMtr/OZdGvnb XMpfPMSfPMgfLOEnXddf81HO8DD/8Aj7uIb3mMtermU/b/AxN/AR1/Mh1/EB 86NvGp0tTdunlT3ur+JdrmYH42znUt5kdvTfGIvOCTPYFPt/bv8BqyJXZA== "]]}, {GrayLevel[0], Line3DBox[CompressedData[" 1:eJwl0DtOAlEUgOFjbwi10QKIuBwTlmBioYX45g2DIMhDUVT2gboGBBZjo7H2 Syz+fDM5c25yJ3NQLJxsRMS+insR5WzEgAlLbLPMG/b5uxvR473S+YgxW2bX bPKKc93qOGePR2zzkAk/9KCU/RE3+cgtvrLhnEtWecYaz/mmO316b3DBOt/1 pG37Uz5rx/ML175pccUml5ywywo7rHLAGocc8ts9u/zhjF/ssG5+wQpPWcr+ /7c/cXE2fg== "]]}}}, VertexNormals->CompressedData[" 1:eJxUfHk81N/3v6JSIkqJUCgqVLaKak4iFNlChJQ2SRIlqahosZalJGQvksgu y7WTfR9b1lnMMGNJItHv9fp8H6/34/Hzzzzmzp3XnHvOuc/nOfecS8L2pvHl 5RwcHFkyHByc2OviQLrKKuV2OHXhU0xoxBAkhl1IySwchdmsj3nxBvuAZ6Yj i1U6gjSPJj7eKMeAvrz4uz97JeE5Kzom9DkFdYmHA8tvFFb75PpMrSsjDT/K XPvXnor0GJZPnlbRoU/yjGGsBqX4Qsa1w72/qSjv+46V7zTpsKZQZpFrhAJ7 90aZ72AOwRxj8naQ6SCsve8RL/uXhfQraJtMImrQaKLjP+HkVjg8Ov8mZaAd LYWuONiwnA2XowTfFdoUo0/C0NxrT4XQ/APl7FfUYn8uQ/+4Kjr6ZfXyLPM5 BeI3eAXL63HB+Jrq4ES/URTenyX5qmQEck1CTM7pSKCIcwNDMvIMpFcyJ8T+ TYUdGguD18/TiiPllQ6+0KSj/VY81RU+FNKTe5Nzp4+yUfjathiO/nYIPbTj S9cghVQh1sifY8xGR2m243ud26HkF3yy3UYhhQ2yIrZ0jCHpXEO7+dABuBQ0 W2czQiHJnoy0LqthoshXfv/CnwzB46IoCddcKsn9bGpk+QcmCiCtF5XPGYJk M5vyqhomxPzgPaUWNFzML+V7POTJEMqyHeop+8CEbQqrOsTeDxdzjmXAnpwh 1CMqWifSMQbRi1t3tOtQi8l89jp/QweQQ/YfG0w+mFv2+f7dUmrxt/tpm/Y4 t6PeTdxa2Hrgj5D3MWs+arEs0vzC1d+OyjhumK8UopKKn4uGRzLZyPmk+eUb Xs0QZCgtjb2H1VlcGsuvUotlJjTKnLyakUdiyhIKaIfrlTXn6tt+FHNyOuzg 1WdDkYdj+vFjrXAHfpdOXx8ufrvOZsQnhQ1H3TKuKUS3w2dKt2tS1WBxo9rH 8E26bFic4RTVWE4G0cvNOzQSKcUtVjee6vSxwKJmvWOEXT8cK1uVuezIVHF+ o4Iz7ByHRKmW0XhaL8g6Zjifs6MWv7re5hdQPw63DlW5RMf0gP5Xn3k+2mTx sW1/LAyFWbBZ7n7lqGM3qNSmuImLdRVrivfstbFmgbSjBrN94whJMZ21TfNY Kwrc3y7ui8kppruKg7FsmNQc/QlfH9r72P5/62rjfN8VmTpMSkwrNd0T3Y68 nxVvFcLkX3dKpKo8d4B0QqTig8lyMlLkP7v9OCb/BamyIEowlXRxw6yrm10/ io8ZH9bB5H8V/+7yM6dfJEPFXf1+fgPo43aXkmryGGTcVH1/ZaaX9Eiy/dZH Wi+Kd0hM98fW1Rtgf7cucZgUwruppd+xG53aF3/mAiZ/VNzJftFLPaSHtasL MmJ6kLr/8ildbL2xbhmu+srVoPBFNdVMfbh45sYGtobbBIQGW022CJRB5KFa hQ9Lw8XtMiM7ZlMn4OMcs3QipgpUIr4Gxh8bLnZ3Pa055zEBgocmt/NXDpMO xfVLDcdUoaN3+gbx8Ul+/vWfVgyRzCjq2meUq9GHXxuf4c//KzUltuP7EEmg Myu1U6AMTUTE/fmFPV9F81GKYsEwia3z/Fegah0yuLwHBWpi4wERBvj+ynHk OoHvr2Cf2UjcD5N4yjvw/bXYdOYkvr/WJ/OG4X579WK8fKETlbS5wOy5TQQL PV24nFCk04UUoy5GK/RJwvVPhSe6MFwa1LdPysL2e/Ia/jIKhktZpw5TxzFc qvwqsisEwwcH41ZVcf19UE7+xNhYMoLWCWRnPcdw4Flw6p8UDK/SlpvX0zC8 Wl7ou+UlhgOn47ynMkvIEJRxI8s7kwLnmnydthlRYc/5XXvx/Ytm9FLx/aue zMeJ7V90VtfxzZ1NE6T7WqvdhKIZaHd239N+2RFkMs+wuinSisxXT+htWcWE L5f5/9lrDsKY+//hXlvV/4d7KPaQbaEthht+a+0lMTxANKWiQ6EYDtTq6xue C+hEa6tyvIwDaCD+/YXR8awREFi3oylwog21936hhtygge68/8qQFxS4tCFk Gcu2E526uDge8J4Kkjq/4hIqKODoW8baQm9D3Vzq8ykqNJAspU9yVVOAZ2jy lpEy5sel2hsvbh8F+y2GMrIYXpHl0bcNId3oCH8Cf67uKNx9/Hle0GkQitN3 cEfZdyPDVw8E+oLpIHYp5xnVawiWnq/JCDvRiVLSnwX7rKVCe/eEo7INhrMK j9f6ZLeh+8vrjiRMUkBswsfylTANem/P79eW7kKSAwyG3nYq2OX/nBPE5ByL iBOc4+xCJ29ceLQxjgZnfGmtv2RHoEFW5+1LVhfiy3SMU9tHhd4ofqngBxRo XWFfNCfdjX58u9ddakgDap3PxuV7RoDKpyDlItmJzg+S1WdEKCBVlPOiWY8G bCZkOqe2oTZ/4+iYfAoY3723dl6fBic8+HX39XSiDZdmeWS3jgL9/Ojq7g9D IM1/Kea8QjtSjA+rDP9Dh9itOzSPxQ7D8Y3u1RxxneiBOssu/y8NZF3a0qsw Oesd31Vu2NqO3ld2eQQH0kHgZV/kjPwIzAWH9MkOdKKMh9ffvD84CmXD2/8c wvQcohwtrmLajnb5zm7irB4FzQ7Lz26YPm/P29yiPe1AFcuv1b1PYcCXw86H GoIHIDjnzlD5/Xb0NCHyStI7BjBGOt52HRqEE48MWi5vIaMbCn9tJ4wYoCVw /eHI6wG4WVwr8/JQN8oP8Qr0yaZBeVbnA+O0YVAbrz6qlNKNLoy4ZtzKHIVC 5dtpT4MGIGeZsrjYqV50r1lqYbZnBKT9XQ5W8lFBNuxNVWRSFxJ+c9uzLn8E nPw3bvaYp8JvfunZBcte1JOjE863nQKbd51Q58TseDaKyvFqsAut/9zx7sYY BV5ZvBHMqqKAbcREc1xlP1rNmaN1UJAOnMmUveuZA/Dj476BsV+9KGODy58H gzTIDV5vpOc2BMsTB6u1GvoRWrd2cs8+OlRNXtouhckZtOb+XOGRPhQl8MKi d4EOLpkHv7hj620uHY3SiuxFoiHaVnWmVEi96K6X7TwCRvv8tZySe1H1/pmy z0FUYH18XeiG2Uv8Q67PPv4+xNU3qtNDHQHRyMiAvnIKlD5lkGfU+9DNlHbN 5eepoDx17/hDbP53LcUq7gQyGmNHlb36PAJvqjl6TDG/MrnaUWs81Itcn3dI SQ/QwJbuqXocs+8yupmEPbkHpRcmx4zYjkLS2q91ZzE7WnR5njgVWYt+r+6s 3/GODfK8fEYO+rXwU+tRHrdSJeo7YXfD8h4bbqg0pT690gxusTHT5bG1qC7j SojMZzZkTBt2kyZrYKXEQ88l/Ur0+4PcRxM2G7gPL4qena6Bnc4buTbwd6CI rhOThjfHQW2rTco+l3bwahxJ3ufUihxWykUKD4/DRkfdzR/c2kF5yxnLBno7 yv740upa5hjwT742Udbpgi99UhIfT7aivmlBOg3js/yNghW52l0gHVjvIBXT jsYcBS5672DBcFDT4PTjZuDMzBY54NKK/kZ+E1deGocrGuUnb7W3wakn34RX q3Qg0aZfHJJrWJAvkDNi8qwZpJ0+djW61yE5TspqpRg2WIaQHPsmakDvqeX8 1cJa9PpU/KOnnBPgeczkt1xeCeQrZ9w2vlSJ3rIjuP2OT4DrfvMHkfkl8Cn+ 2dXyR7XIk1ypEaXIBrd9FB0F72aQ2I9SkXIl2v/50VbeO2wQOpz0oOtpM2jE 9f9lzLWgr19WrKL+GoeQ1aGLPVhc1+y7IvmLfysy/qpqIePBglMKDfbkJ82g 4k2O1K1rQk0y5Zp9gyxIGc9t1sPWW2kjlX3/bRNq+VZl4KjFAqkNX13qMT2/ Kpteq25Vj+x3iLMGisfBRdQpxh/TZ0H/sb+5zk1o5E98ZmvbOHRvu/ihh94J 158f3T5s3YRCzhnH//Ibh+mOcTd5vS6oat0n9pW3E+Xo9OpveTcCCnl+UTfL aRCtat1Ae9SGbm0puuP8eATGmPw/Za/TwUO79QbtdBPK0NRvcitmQwTXROad 3BKYXdzV94+vGb1JttC+Vs2GpgNnGTdZBSBfSR3uWtuMeCxVzJ98ZUPepLir WVEJNBcWujS9aEdOzInougEG7Pi6vWk5tu9KimylM383oQPuXNG/LNhg0+AX 6jZTA/e9D95N3dCMfAe1nm+ns8HvfYacVGU6vKrKvFRUX4vSHc77XT84AbvE H3iyq9LBcvHzpz+bmpHU7I05yhwbYjxi4zxGz5OmS6K9oLUWmXcqtkienIAz 0/vr7WjnSS6hvJqOtyoR0ye44Kz7BAzcr0WXa9LhnLpePPlOJToh8fvfGv8J sJILXdcu40CKM468Eejdie62xzoq6LFA4MX7mBdTNZDx4Oc11cMdyGpfvm6d IgvsG6d+5XxoBMeQidgC/Q5UPyPnSn3KgrhYml0SNj94c1eGvVA/2nD89osv p5mwXqF9vSvmJ+QRVoYsuQ89W+125PcBJnxfnmwmlNYJXmwlKavZPhSyMHFw VQITzv/e7BaB+UPkTMyB2zUDKEmKWWL9gAmbHvOv9PnWDDIu31IV6waQ+VUV kRfeTODNf/ZZAfMr+z/RF+N3/ECs1G9MI80xWF9cc1gE88PRPaetXSW7kMcX zQyFeBboiH6Il9njQHod0zEYfKcDPaibXajcwYZHBZ+9gHqe1LSUcMZbrAtZ imjYKQWxwMHkXi9uF9sw3oadtzrQcvKtI70b2PBgt7slszodvHvHuG+1kJGh 2CLPxFUWaHkHvliJ+c+qT1y9Apc6UOmpBc4z/SxIUlx7Qhrbd2viRDg9N3Wh b/u3CrQ7saCo6WYD7leP8p3MLca60L0ChaPzCWOwHPFQFzG97Srhyy+53YPe G1lYXKweg7Ce31nCYS0gOLY37ZBpDxKloeC9hmPAdffVtNqddrj2Js/6r0cP SnneuN1uAptvymOYiOnnTqrVdFAXGVkciM5IejaO8ZerzS1sHJI3r1fMIKPi HcMLlxlj8Euda/8tTP/J6vnhdyPI6BCHAj3Xdwx+Cum7jN7phDj3/QO/t/Ug zvjVdQLBTDjELWTpp9UFGZoGy5c9IyMXmrnPJtkxOP5H2WWnbhe858323bbQ g+hRy7PyWsbAwvHczCbsdyfqvUSudPWif6peatYSTPiXbR1ti+GkWrc9n7ES xstBBTlq1QywMdOhhC79AP+Xf5pZwV0ohNL79p8bCwbqqenRFengTGurrK7r QRVlZ9O5/o7DIF2FKwyz1+rGMWGzgh40N5/SMl45DlvG311JzykBxwqyo9CG LqTktfz+mbMsGAsxFluH7d+N0nWbbjd1oag9O4SueLJg9CDl8inMT8zkRbku tfSgvrLo8S18LLgnGnKikX6eBPuv85uW9CHfAyvKTg8xQOB+s7o9tl4V4XmH IJ5uFMmtmDYzyoAUhweGlxZ74S2tVrmM2Y1OLiDO8HQGFL16mvtvWR9EiFRd kV/A4saSyzK7FxiQkCcg+qy7B2ZnVjkWzmP24jiWnrCMBWGdY0Z2GG7ctixn KMb3oESTgwv+18dh5fQKRYOfNXDswpfeiJQBdAFV3ON9R4Viq/SX8RifrunO Jb+26UePDFfvSPSigkWQd8ayPcPgZrfr7A3PflQud641gYsGpRWmqzZjcdQT n0BnEf4BlFdtUzIqTIffSy7Rf14NgN1t8VrrwgFU03DTRUKcAiK05AteGL/X 3ZtZvnxFPwoLXXxqxUmB5snvD8xnRqD9E2/qhHw/ajuaxb0uiwLT/VX7iuRG gD3+U/Lru0GUIxXeF5JDhSo3/1SH+EEIN/+zw/npIFpdZbc5aAMWhxzxsDzq jcXJ37g8fNMGkei080tvbRrIjWWcK8biAYYbbcUWu0H0grxHwEqBAiddO7+R sDjzgnLm0KuZXlR5ZHqQ2YXh/qY1poWYHg5E3Vvsh07kVx/xQMJpDJ6Mum7i wvhl5kCm1wkjMjoz6XcrwYAJFx6vOnL6by9ob6k/I+M0hLzj0uw+mFDAUOxT 8kXsOcFgEGF3YgjVG8eou7VQoWLY75MNhvOe/s7c28lD6Md2Mfbri1jc1rZU 9GbVEHD+zpXxnRtCVbIPEmaPUsFlhsx6HDoA8UuWEcoF7SjtpNBCJZkJEqpW T49x9AHleQTzRHs7KmrakJdgNgYHX/sHSE50g7Dkr7+kmmE00li4Zt6HAqet +7baYvGbvJGn7Jvo7yiKI3LSj86Exqgc987Ng7A7iuSdcqMCpaWWnOxqYsKw QYaqRdYg0JzVOs1TvqMnxzea/t04BluUR3etwvTZ++1jGetFBbq33rxpynIM el9qn1TA1iXFcn9isrYMVfMdSPytMgKHykqFqPsY8OHI4fvN2uVI0b05XIc0 ApKS/ffoWxiQscd5VvFaOeK1OJC3PIYCwm4pyn+wPMDBaTHoAm8RutKjHeb5 mgKfDut1/1EbBb1Eh+v8nYXonMxaJVe7EdBj6Kx9v5cBF1R8GhM/lKOBV3fe xu9gwGrjSRtfzN/K+A1ue0hUoBM1d0skdjMgsrIzKklsBG7duX3ljHgF2uWi fNJ+KwPSV3ydnMTmW9650MFXUYdsT/4Ktp9hQtLK69ZXQgbA9fLphtwj39Gs h0ls+hEG3P852KWO+Y80R1raefvviJmxyiGSiwn9x3V6VbF9oeYaL/POtALV eL3U7TzJhOn8BeYLzD9jf21277MuQi10k2/fVmL519nlO0vGaGD3fHWWf2Am Et3IybRfosJHzvVyV8TokH4utve2TBEqihzQPi5KBe6reqscKunwI8bt9PZb meiowG3lQzpUGDwi28jGxl8/3Ldu7lwhmtS4ueq5KpbXnfB1jDJlAOs9O/Oa cSbackBq1/ZACgTcTpFgXh2FI3/KtZXelyM/rt6Nqetp8MOFKV2SQIOp+Mu1 Tc7l6I1w3QJPPwWiv3Z4hFbQweSummK9Qya6ZZ1y2jVsBAaiNd/qYvq/NTAu OBdbhY64xgY2JlNAjpYSII7Jk9Z70WC3eQ3a0P0n6nQ6BT6Xn/ylm4DltcFy p7fr16C225WkJH8KzOl4fPhdTofysxmPui1rkOIV9bkWCRqcN178Ha1LAx0u S9q2tzXo9+KNQS5RGmhHpweSTtHA9eYygz6xGvTVQSTlsfYIhCnbjj5vGYXx rsMNNnoNyLhW7CpnKQXYVS902tXoEHTnSelmuQYkRKsOtpamwHrO/u1T2O9q IveIG14NKIb/tP98PhX6/iS3bMXyVoN4m6siHA3Icxfv4OSZEfDhSCm+4DQK RgtogZPajAbCpyNP2zNgA/OmuRFmd4psrPG3q40otSWo4roZA3RiuMKilg1D wCeVvX89GtFbzaEe7VQG3DnvFG6J4cPGg0MGnU2NqPescuViEROYSxWKX8IG oHpFQL7253J0TvdCn8N1GvDdyl8njuVB72uUisZbWhAnd2HAmjsMWFO2afjG wSFIvfdaShGLt+elYUzenAkM3o7IPZjfptjK/e7cn4Hek+K0gtKYIBgquiSL yflD6seF/YYJKE7yt7NiMhM2uxjxkrF8/BPHSLucaRYyep2/gYSN825z+eaO zRcwH1mUEc9C9425LL94MmDUZpn7M2y/GAU4WMuIJ6BcybnHmmEMWHXhTnA5 Nm7whfrSwyQBGYo8a91WyoS8aQe1u9h6T/mcPjKGPf/8sIP6q3QmnHTo33wK y0PP3T+lFOKThWw5HX6J5I7B9ktcP1Mw+T3HlL2/+ySgPSRVvpiGMVhpqDYT jeFhwM5dviaPi1FH7MPBnEdM8H9XcHXi6RCId9x82yVXjEQSTtqLmzMg7kBa 2gFMnj6zn/UuL4tRez9HngemZzO3hPRDO4eATCrLCWgoRpWGdb/PBI2B3KEC 53MYvvU30scmV9EhdC9LjPVlCETrwuo6qD3gkxZyaUm1B1ykBd122jCAdJ1S 2vKjD7q1PltXTi8WHjZJFeiIHgLDG/fuv8xmgp/e9s0RTCyvbopac86LAt86 nC5stagCHb+zmq19E2ARQ9Z+eTMFTCpenzl5OhOOfG4odV9jTipTZDhUfWBC dM3ZwZ05WJ57vaelQNWWFPlPm0s8mgFBuUWVHdi6PMum5IKX2ZGG+c6eKath AurdvfodpmcOy/PWV3PPkOaOqOri59lHos14ljC9qfoISCQZxaMHL7/a+GC8 oKrx7c6XJ6MQunMdp69LPLpQYu21z5YKZYfe7r9fRYdjJV+sknzikcrzYqP7 81SYzS7a04vtI9NPL14r/bAlyVbT46d/UyGbU4/lpUkH8h++vV4fW4tHOie7 ZuypIBOp/c8Pe84i100xlc0XSUdKGH+3vqCATzTkuPmNwtnjJ8a0J+PQkTkT 1xX5I/A6TmNiSpYB86+zPXnFRZDXURp3MRqBwcLPWfXyDPiRKjO7PyQTka/M L0cSIxB6/vvL7BcMzC57+A07EtBkSaNP/WYq8BhW9/msHAWXSE6pyNY2WP0x KFpibhxNO32VkI1ohf0LdXkRWQhlmo+iW7ZsSFr10MPeuRWWXfrlyNyYjXw8 zj8IMWDDWOjcfTy/FtlkUTFVh1D89yPOYslseHb3X6UQli9IvMjwXKeUjegk F4VXDWzoPLlZugsbv85v/mmW9xM6q7v36kltNly5SlvzAIuTh93TojN5E5FV cEhmrQYbtp6aGuWLbofMf4pvktdnI5UMO0tVZTb8CrxvP+HWDuYhmjFe9Cwk VupttBrLl/NnFDyDsbhX/eae1TP0BOQowRHJF8qCNQWd/HZYfGK7vTWweb4C DUr/tVZxY4PPGo0Kayx+Vks5UHvmHUKySZHJTevYQP54IumVazs4d7+tST+L 0Oj5TFUJCxZYl55q8cbi85AWhb6DSolI8GxMjuUIG/r8aztOeDUDx//9PTp4 4LM5XsfYt7RV5yY2vsQlePztukSkVxm58YYuG3Zy7GAu3WqHX0uLChO5T4od ROLw82eQDfF8vQfLU6bPeEonzLSidbZ8Mlp0Cjg+feF0EcO3zffdrruuO0PS eZaMjI+yIdwhKn9VfzuEP3rT8/rQGVKBtAyyiWCBTenZ0EJsvY/L9mY6C9Yi xn7dVSLp47A3OZmzUb4b1MKKHk3UVCC/kk3aOqHj0LOrDz3H4uSZnOhKH8Z3 RE8/9Tpo9ThcD9b7Rl/qhWsdR9vZBRUo60gA/cSpcXClxds7Lu+DhlnziWem tcir8Yfl+FsWdHrWfK/G8iZmunYpDDeiWrVv3jMrxmCAi1dK610/ZBtFvF0j 1IT+5SzOemSPgTW3p681Fh9es2uLsJSoRZbRSyp9g+OgL7546SJmx6UTd27u Ga1Ap8uMZw9tZ4HGXbUVyie64CfXp1QH/kokr9db6NLHgmwwvTaL+c9sSOEh Nedq9HxGskgulg6Zak6bb1dQIGaH+aOg8Bpks0KS9UWKBumnflv7HKfB913q HoM95Sitq/HzmlA6HPj3O7ycjwpTs9N/uIdqkK6Nhv3MMzrEHJE18q+mQKuS 3/N0ajl6mip1OqeDDu5nnnB8LqfA0VzBZy70GqQtfMX/WxIdhk5VTYRg8VpT QvPQWpnvaImP9ry1fRSC9V8rrNwzAnnaf102xDSgy3srpRgHsDh880EejUYq WFb4uBd1N6CSgtzTxrJ00O975FZaSYGqZ+tnHBYbUNmuuX2cxXRQlba9JimC xQUv/j1Klm9E1uOnLbvuj8LL86XHHLC8YN2Z0z7OO1uQTpX7q4AOClDz0neJ 5NOg//63Z95cLYjH4k7h9KcRiPdfLtSH8XvBb4XJoAMtaNn9JPckLSocOK2Q 5oD5W+ZxmaSchWbkWWuxwvHaCChkcOTwLtChW7NBqXy+Be3yoL6Ocx4B+X5J c34snglceWL75SetaFPAbt21FDpwez7v3obJ0yf1LyewrgXVd3fDSnUG1Hfq ly1gfPQpRTH7zLsWZLDr5i0H/lFo4r2zXxPD7eKb97Y2bG9DrYeS+7JtaTDs 6Whugtlxu/vGQ/MWLajjIx/nBBZ/aCjeP8R9hApki6d+ibRe8D72K9PGjlp8 j8teOqB+HPXK3HB/Y9cPNyzsKUuHp4qP8TjXHN05joTf0pwc/QZANu70oZNn acUnzI9taiaPoemdExtMImogqWIQr5PABeOpRbw+MtlfFrJfmAkF9r5KHNzD wLx8sMSguwQe2MooNmHr08qMKUWMLmSbsv05C5NXb9xMMCJ1mJRlaW8rF92O jl/Nvy2ky0bbLO/IM5cNk55M5ZqVBrSjUH3BsbX6bBT+4ypPYe4AqcHLksdg ORnJdPw4qNXHQlz+E5F4XSxC0ScLr4s5uVv3zHlMoNN2a5Tx+le+w84KvP61 Iadj/lfqBCLblW/E61/DQZQteP2rx3BlXaDmBDqmr5mQtGKIVK0XYWKqXI3O U/ijNNwmkFHe4M6WxGGSs+9wKM2xG6loqCbbWLOQcNfddwKXekiKKWetP8b0 oOyKj776wiy0/KdiWsfGEdKerWY/8Drm+4Tvy31T2CiQt1DdbqaX1Hv7hWAy rRf1sw/p+mP6X+t8hW8omEryaDX2crHrRx2Hd6uexPT/x+b9oyPLydDu3i1G SqQUu0RMhJ/A1rv35QmfScdu+HLIomOHWFcx+Z/jY2tMnhbKlk2hMT1wyfx3 2SraZHH9fMRPY0yevb/zcD2CU5qAcWPbj+KrzRv/p8+1Y2dd92K8MbkpbvBD 1WCxi1IcexOm//dBa731lKuBfIC93VR9uNhLl2+FJqYHq5jb+ydjqiBnReE4 XpccbRYCXM9Nyl0q3qp1YPZ9cIWj5XDxw8xxk5eYPn8YLRmPzHaB9Rd9oeN+ ZaDeOMGzTZgFhdFnL5zz6YbgNf8WAoPL4HHE3pq/cxjuNjpaffDshnXf2dlJ 0cVw8Ody1VfY/L0nn3wVxOIl+69itx76ZUBN7ptfe7Bx7sNV3cJ53bAp4D1H bXMBSM9+XeewmQVZvMnxEqxeuD21aefm9xkgFNuv/CMDw+m/nsYHfvVC64Nd lrkzBfAr4Mhfr+BxSM7Y0DDPS4YnKvMj1p8KgMNQ9F7wBxasj6oJU37QDfsU DMwUGwpg2uLbQPwOFlwbtAoy30yGAx9HR6fvlYGeQ0PgzH0WFGwYvl7xrAeq QbBP0y8OrmlXchtgcoo/UDU+NdoLa4pWhN15FwcbucpCpKrG4afQBM/VVWQY 7vrZdM0hA36Nmfo+rWDBxyePyCW3uyHg3+qSq14ZQGr5V5inyQLGxvGzTk7d ILS3yfXZoziIefIwQOUMCw6bbhLouNIKtpkcNxnGZRAivZc6cYoNbV8VnrV9 xfgz34isdrkMJsWthRdZLEjf+PS3qnUrCEmGmj2fqYJsua0bKkXZ4F4XO6pW 2A6qC7Yjq9ZUw9DVvTbBeSzYt65CbdS4Fdr4A39ujSsDpdW3q/Hnv3vRnWe7 nQxP+zrCrbdXg8KR+zVZmJx/XZLlD9m1wqvkcxK2kXWwU801CduncEO6zlm7 th34fopZGebVgeFxaeeBOyyQFqTyCC/rA44eB7PQlDIobhUoDLo0DrvOWjJY 5m1w8WfbtlcPCiBZQNaIC4unGkaOVf1NxtaVa750KaAASrmS3s5sYsP3u6tb bydg8c74ZIaORQbk3qrkYCuxYcWqrTuTrrdDhNYeeYZxHHh1Nq7R0mdDdDfn t+MarTAqduUvSSMO/qRwG/1MZMNuOzS5yNUOno8/hSwYZ8CQ0LBRNTb/NLl1 i4ZWK8QbrazW18qAyahIb8nXbIByXdtQTjKYjModsLgWB4dOqfyw6GRBkRXn ixO6rTCyy99+3KkAvEX9EllYPMWR1SNojunTU1Ltjy1mr9MXlxusM2LDQUEz /0wVMnxKr9f91V0HvPPH1I3+jYNQslEGx8duSHWn/BH8WwdipryrTNzGAX0a 5vurRYbKpowaE91msAnhTb/yeRy8VexiXhd2w1+SnHnc+WYwCy0yeCYxDsKn ZFM2T/SAh89oBZ9DM3BbS6Ni8hiQbNbP+Gzvg5jCzMEz2+uhVdCAL+bHGHxr nHFylO6D/JvGEmue1kOPnNXsv84xOCojkzVm2Q09Pu6vdSpaYdvu71tCsOdM ry4L5bMmQ82hu0Fd6a2ww1+JnHpiHKzndiV1NnTDscY1z6ulWiH62+Jrjq4x UM35lLJyngxt8SbPVfZUg8G6TfYYfoJxYwJTaw8ZClzXbS3YWwtrlZ7Uh2Dj WfGKu/TedMOGRXrN4rFq6E82CURoHDi8Xl/MF+gDO+Wb/jKXquG7QcF3jZ3j 8P3Xwxs1dwZgIKD2Nb0iDrTjG+UiMTk/Tu21srXvB5ubZavcc+PgiZqKgR+m nxJftTHKzX4glTZ6yRRkgEqs2bA+7ziYa+mU7LjXDyLV0ir2EoVwNuom1WBs DKJ3dxZWKw5AotLgpW0VGeBr5NL5AHt+4Idd5amureD2lKnWI9MM7HWyCXsD WaC7Ylv7THc7/F4oTS870AwqMVkrEzE8iTq8m71ftA1Ux0+b6/i1wur5vVkk bL1Mk8Fn5c9a/3sVO9Dxd6MiC/o6Bz+E9bVD2JcdsabBzaB65nUxjnvSo0Lc Gux2SM/4877lXStEVJln4TjD36utzpXTCQnVEaV8LXVwl5q+eiP2/La8x8eQ RAfwORk7VKs2g7bZOdEb2HMI3CRwlMBPAjcJHCXwk9AXoT9Cb4S+CP0Ress6 xqZcW1cCt74q2Wd59sPdn3EJWpg/EPufwAMCByRSvQOSK8pgxjuu1mVrP6x0 r7tig+mZ0DthB0L/t+/+CPssUwiXNO6/aSrrBx/ROrVFzG9vdFn83uDURzJ6 sc7JGYt3Brs8vTCe/c8PCL8g/KHm8nUtW9XlENbjVsTjPwC2Is3P47HnE/5E +BfhVwS+E3hP4DyBswTuEngb0j17EMfHJrMHwjhePpFW+YTjJIG/BB4TOHw4 cUDeGsNNCTq/qA6GozrjJ0P6Mfwk9gmxb4j9QuAygdMEPi95zPGtxfzAjKcz aiq7E1S0/3RsxuYTuEPgEIE/BH8QfELwCMF/BB8SPEjwBMEbBF8Q/ETwFcFT BJ4S+ErgqiQnMiVjuHlJXuz5UQxHfeTsdScw/CRwmcBpAp/t/mx58Q3jiZrd IS5MjDe0SFmaOF8Q/ErwLcGzBN8T/E/wPsG7BA8T/EvEAURcQMQDBI4TuE7g OcFDBC8RfETwFsFjBH8RcQ8RBxHxTwOv8CgeJ0kELB3H46ZHvJxNeLxExD1E HETEP4dElBFXWDVpVi6JLwOL9wN8Y8R968f/i5+IeIqIo4j4jIjXiDiNwGsC vwncJviG4B+CdwjcJ3iAwH+ChwheIvhormRfDM4f9jtuXsH5hO9+qizOIwSO E7hO4LlcyuSzjXeq4eHMmgxLnR/wyLi8vQubT/AZwW8Er9X53ztwGcPHcs34 4wEYXm5pyrbF9fN8uTc0YfgrntMqOIXhsfm+TT9xO959rCZYj+HgDYeGnFIM F99SRbnw+QT/EXxI8CDBxwQ/E7xM8CjBqwSfXj757aJGbDu82f5wRaZZHMy+ lanfcxzz/7066r3S9WD6ytb2CKkP9iQ8cZvFnk/wHMF7BN8RfEnwJ8GbA+bj GTjuL/Y+F8d5YJq+JhXHH4JXCJ4h+IXgJ4KvCJ7Kv5h81/DnZ7jnqfs1RpAK Ot4Hqr8vGwXpm4pk6pUMeOF37v11qRH4GRv+dsqXAVrX3P4JnI8HC58bO/vy RqB0N8/BIlkGPE3+Vf1QIhMeuxwXoIWNgJyY/uHevQxIWJP9d1lAJlw8zfH0 xhIVYo34GHZidNhvssmvx7oI2k10EF7XeK2+Sx6va/RanLX545IJBt3NYft1 qNCmeuYjA8ujt/8N4auSK4IXtD2nD4pSYfXKECdrbHy9RdaQzNlMyB//IbA5 kAJf7QKqeq+OQsot3bxxgSJYtnK44zZeD9qwfR9bbRT6qAHhb/IKwavI3zTX bgSsP0wET2Ny+nompJX4xIPU2HNt/NzyXcGUFH5uaTfGs4/qEA8nw8v2K9lS 4ZCe8QGPKjp4Vz9/etkyHvqXjoc99aGA1vjPqeQno9B1ROlylF05tN2sv7My hgJ/vnMHLv2hQ7qG+mrPW+UQqnjlqWA/BTj3Hz74voIOUW0rz5GVyuDqqid6 oiojcO+j+N1KTJ5NwZQPNnVY/CFsfiPi4AicGjGYuWLCgG7mJMX3fTkMnKnK +bSeBm8Ob88rSqDBCR/3gT/K5bCnokgkjzQCJecbf7uJMqCp0Uh2n1MrkBXF v+D9RbnhnDvw/qIr/T0v1vN3AOeQB5fRTYy3HtHz8X4kg0F7sw8nW+F2Nnk5 HduHaQWcfXh/UZSS16l6ejsoKms+x/uRevevcMf7kfrsq4MZcy1gY5S0Ee/b 4X7IWNXr3A53S7cJ5Ts3gUbBQhzeV3O6Szoc76uZspJH3m+b4HFTUsUNLRak nHy0Hu/PeaC/1euQSyss117mobQ0DtnlHX1O7W3A2LZ538m6JmjfesoS7/Op 0Zf9gff5zJXtbUj1b4X0XO17eF9Q4X70AO8Lusn8/Foyph0CFvSe4X1QphPl M3gf1K/Ak5rcKh0gaL98B97v1PJcdQ7vd8rsWjPVZ90ETjz5k3ifj4J44ze8 z2cmZUNlzodyMKEZrcfrgypPvsz7yI5A6zbx5nyJCsga+tq/dTcDVh7s3/tR bASs3vQ1mohXwPUOBRu8Pvg3MJtjCpvPEu5yyj7yHa7f+56P1wE3CLCZeB3Q Gab2Jl9tBOFQ2WgHMwaoKp1TfL9sGDpl74aNSX+HH29au9vaR6Hh69v9q/aM QIOUd1apfCOc3e2uRL4/ColH11telxuBKRsZ0ULLGpA7Iz3fKkGD2kfVf2J0 aRCWKfpY3rkarHql98rH0uHN54QH+Llfl6uy9ZXwGmjy1bVPl6JBatLVH77H afDWd3GLei/mV5KxXatC6SCjorKhlI8KRRYf0r4N1oCUr4Px72d0SCq7PhxY TYHw43ynPT6Xw90Pi2evX6dh8cPNV6J6NFAx4Ek4Q6+BMB/FsIIkOlxVt+0K xfbB5AVl9cWwGlB3HhFZKYrNVxqug1M0uNPK3l0Q3QBTY5Ij4wdosJy7Ik+r kQqd1TV7+r0aYJrMS53Jp4Lkp+Q1W/Rp8KLSeWy0uwG0IjQvGsrS4eYXuwJU SYF3JKU3yKIFZtwPUGaweW/TXdp5j1AhOsl4aXJ/C9DyApdytfD+24WpB5ic u9N+J99cbIAv/esE8PND7gPn9PHzQ87GX6+TqeXwYOTHc/w80+3zrT34eebK 3fLzGw5kwFsBldZXaUxYtS37K14X++A+ER1umgWbbQIm8PrUA80uX7w+JV3U 6bcTGz95oVcUr4v9anYuwetiolymp3/6JMDUn/7Z6IYx4O/K7MbrU7w77+9y 8cmC7VLiR7bkjsGOpkzNzyEDMHKtbrLPJAFE2gxi8LrYFetXwnhdrKxkPoHb MAE+nlfww+txqWRLMbweNzkmN5UmlgAbhoWL8fpazenHCK+vFQQGqO8Wz4Lk QBczvB7X+DXYFa/HsQKyY66+LAbeXQ4DeJ3rqs7Ed7zOFTU4XBd8owLcFzul upuYkPBkugSv77duqR2xf1wM5PqRt3gdrfbwpYN4HS1mXtjwtWkFXDTju4PX rylWsSt9vIcgYdfjUGpDMZhfWttsFoTlYwOrtlkHD8DRJK+F7hcVECfi/3ja cgw0VSlCikEDIJRF+iMvXwz5P6Kvipkz4J4Nz/h+TM4XhVdWbOD7BFamOkZ4 faTg+Ja/9zHc4G9ez1rYmA1h4naGeP3F956yDV5/MaxC5Ij12eC/s/khXh9x 0214jNdHYv2bhY2UEiFdVPgjXqfYd+FhA16nCDxMTxFRyobJZaWCeF1mzCdn E16XefdynbzPukT458C9Fa9T7H79aBKvU9gGXd1VwZsILZ81k/G6DKiPDeF1 meRJUtsnegLUeejU4HUW0ScKKnidxdiZ520wPQve1KrJ43WZib9GF/C6jKJL JSRmIehR8YzA60oeK2zt8LoSn4h0Fmc9gnrxH3J4/SivPSEGrx9tLxF+af8O AbfWkC1el2mkSrnhdZmVzMe89vyVoKBygYyf/4fTPe/j5/8HPih2l51F4MJX /XubBQukHKve4fWa2Afh4ZKjFbAYJGh/eDsLhD9lXMbrCIeOrn3XNF8B5L91 V/F6kHFmyHe8HvQ8cFyrQrkSmjy/T6y9w4b8N5W2eN8mkacReRuRrxFxGxHH EfEbEfcQcRAR/xD5IZEvEnkikdcReR6R3731iwkJvEaGuHg2z4RoB/T31JXJ dI/Bv60lqqacHf+9qu9gq1mdGQdO66O/2Ng8+cl77vj3dkZcqMfnW746rJp/ hwzbxgcKSzA+fNgl10HDfpd4T3xOjMfIm+sLVNRBXm/Ubbzfo2VuQBXv9+j/ ZjWrONwI20Z7VX6tGIPF2YQxvL6T4XjV9XdTIyjySHP8xfaX/U3fLZ/DsP2e WiYTxPgO1EujR/C60hcv7ot4XUk4WBRtFmoCu/IQObweZH5hXbHV317oufKk yiblO3z57LcS76tRqLJuXInto1dRZ+JIVvXwpOYB72DxOFRdrSnA+1rhPe+8 q2AtDJbKtwmnj0OPwHhHg3w3GMi8FmMXVABL6zgbr1sd233yFl634o/oU2fX VEBn6KwxXv9q5+aq+1/9i/RTw9u0FoIsmh/i9SxfkaNDeD2LOutsYSNRC03v 51bh9anjH3VJeH2qPMQjtPZRLXCfXEGLVGTDC92ojXjfb+OLmWWjp5vAk8ad g/fBhl1U+ID3wa4vEBTgWNcM66R8juJ9sJEGsiN4v6J6XvCB7rXN8BjOnML7 YINjFZzwPtjuO6fsUX0tdNoU3MT7V69tjHXC+1fHEyf0Ujc0w3H9En+837VD ImUv3lepU39j7+XCWoin2n/A+5Zn9mXwyOeVAHzTzTnWWgunEs0S8b5WnWvP svC+Vr5a7bV/NjVD/x4OXuocG0Sv9KXifbD1Llvlb92qhB1JixF4v+u1qZ9f 8H5XL/3pBtNLldDB947ie3wCYlU2XcP7nxU4rKe771RCWUcHDe+D1XgoPd8m 40BS/1bS1upeB9oBnG2KMWyI+vhSHe+vFg1u8D0VWQshIbe+4/3nKx9J6eP9 51ogJJD5uwke1VrF4P29edQPr/H+3qXkN7MFsbXw9OT4It5/zp8yvhcma4D8 cqvIP/1K8KquisH7z9NJ7UJ4/7lXVN0dbqVK4I0WdcL72JMaNdLwPnb9zozs i1cHwYH3Lp+Bez3MFGS+8fVhQjFvpg58GATOgxGz4y/q4Tc77YHuBSZI8FhK 8L4fhAPWW1KCrWqBnN5u6O3LBBtr768dMiNgWZDdKqVUDqtFdYq59zBAJL2t c0frMFCiKnrVFquB9EYqkC3H+C9OJeJWIl79JaUdGaWNxcGnQ89Ii9TAKoni wZSWURDq3L32OLafcpmH3Ud8q0GeWW0B98eA9XTedcfbQdhiLtUpnlENmcE8 PLo5TAhSPhdUk9YPT74ffbr5dD2UO2tejpAbg1lj15V/fPrhb+mjl9S6MrBq 3fl+KX8M2P80Pc0CBiF32xYtFWYZJM6Ofk2dZwJzIqhybf8g9AmvH3YtqoY6 2S+yhZh+3lSoSEfNDEH33daPm6nVMLZu+OHORgasftW8M2xqCPaaV78S3lAP F3bNuL71Z8CoxtqIY/0YP/eZBj1bXw7vX9R33xRjwqtz89eOXB4Go0gz6x8D 9fD+wikdayyf+pG9XjHmzAiEmmzQ9FqqB0qEaS1yGoXHx/P3tR0ZAi9v/ZGI xTIo0dr20BqTJ9FrdVa8ZS1E2CWZCGP2mSLHP/HD7HKrr7tmGNNXW/wRQVx/ D8ZXXcD1RuiF0BOhH5+xnbnO2dUw5XLr0MewQVjc07/fHtMn4R+EvxB+QtiJ sBthL/U1qvdTVjTA1bTJ60XYOt6zSwu3YfITfkD4BeEPwtOORfmj9aDC/OuQ fmEYrHWvvzKWZ4BLr08Y7k8mEbNpuH9NhuuU4X5F2I+wJ2FHwn6EPQk7En5M +DXhz4T9CHsSdjzrTPmI2+/xfuXtuD3tK9+54XZ04n1abFZcDYqik3EUzC9+ Cj10lMb0QNiVsDNhX26vbc24nQYfG2zF7Ra5X88Ht9fpYeVXlz51wI8HIGna Nwj3fc2KnkyPgo0LUl2jjOUfFJmo1slB+FGj/HrPqVEwEShkGb/tAOaRMO26 54Owv/KzfB6mh9OCUbv+LpChd3WjVojVAITnGQvewvJHRYvVDYuUVmxf6Xk5 mvdBrJ87S1QI4+UhwcAjlh3w+W3+ufdufVD3Inr53bdMaA54fK19sRUWoq+s cNTvh/ZSxY67mJxJ781XJVl1APeeAevNaX0wHjOQ8xwbf2gwMF+1ug3+kmwv OLD7oUP1Dd8yCyaUWZau+Py0A4bX7PjNzTsAl09utjRtZ8Cgzqa8saIegKq9 q7cUk4FuHvS7C3vOzO5nu2Onu0Ghx33LlFoHvNzktozn2Bj84EgPf4rJd/39 eTI3Jm9aV+rBF5ica95ddjXc0AMfzNZUqGaRsXgpS+8s5p+abq3Htz3sA8Hb 7eSncR2wcCkTOl8wwWD5KeU7Ge0QPlLSX9c4CEL8dzrnMf30POKvlE0gQ3fj y53+n0fg37rWOEMsL5B1VXRTS+qCM+5U5e78EUjJirIOmKeCct/RhxfCukDl 56jNI9sRUFybvdYOy7P+1IizVbi6wLezCZ1TGwD7Xj8hkYMMyLe6KnXhcRvI f1oxcfnxCOhH8jFEr9PBUPprwV3eTvBds3qP5LsRMMl0fnu3nAYCtqGf1Jzb 4J1EupXn5hEYyeBm8FXQ4ct0+v5bgx3gzOQZenRjGD5ontBoLqfDi3Br7s1G bdC02VxSU2wYvvVUvlT0H4WjlLhNm7s64F3VOpShPAzJagau5lN0qBBofHdE vQ2G79PyY0hD0CNaMvAa21+zujJ3NKTawPHAkUh9+iDwmnbW7XNkAKxPs13C 9GjKuUX4EqbXgzeeuqVg+ryWKeOxn0wGxhufb8KxfbB33+wxOhcT7KomJU65 kYGHsa36/NYOWBcS+O5NxxhMzS8U4O/lo+Ju4Z+XiA744eMBlbmx10PI/72W rv+yxt9wDI6M/ywLrmuFAjEbeVtyN+w8dOkgHdvXhH8Q/kL4CSEHIRchD/F9 4nnEc1bP3H8Qj+2HbQWTR22prbCJ1RKwuGnsP78k/JTwT8LPCL8j/G2oWrkL vxfRPnEfVE17gPPW7bjDd9qR28UrjJUJTBg8PM9tOdsH7GGlD+9d2pHRnHkI fm+kSTc/NmHHD9BbfldP5EkzElHUCsbvXexZSVuObvdA3ZvzgyJhLehu1Fwr fp9BNa12autCD5z98U5M6HEzen5iV+FzbyboOiEB5boBkEzfaqmAjVNKI3TP PWCC9gVHs1s1WHzpZczv960ZsVPm2vB7MrZSm3rthfph1uaz8W3ndpR9o3gL fk9GpevaITlyH2g08h4XSutEFWMhHFcYYyAhuNFqfwYZsnpltztg8s/beYTj 9zT2C/l+cIsgw+W0Hx2jdzrRROG7cvw+iXjIuTLTsS44xbn/4T/s+QtADsTv bySUZc7Mb+uBhSSH7b5aXejHrYguKwkmsI63hdt19cIPwdirF7S7kKim3Mrk Z+Owpvje2pddZJB7nHbKBVvX1K+7E1cnxqDg0S3NJY8e8LboSInHxrWv6Lni 9xaEB87EF8+TYauzIc+lmRpECbvqF3Adi/fXL4Tvi++BSc5bDfo/a9C1ECtb /D4GeVIkRGhDF9iFa3EIFJUgC6Xbi21OLFh5sXq/5yYsft15XMmZVYCiWPOa +H0b9xvhK5xayHDwfMCalbklSENx1RJ+30P343YH04IeOEd+M5eWU4LiZA9b 4veaZh8j95fenaAodVL92VQNkv1n2yWxhgW0gBIh/PwpUXBJ98yzZhQbZ5ON 33datYfXQuVwBwimqUwWfGhEtpE6BfUDDJh+ExPX9KIdPjJj1/17NYBqPobt rSYzoWLpHUmzoB3i6l2MFTn6kOHuI5sTDZhwYNPPIl0jMtQ+WTmh/7cX7eL+ zH2omgGPuucfayuRYWy75c+IpR+IouGqh99fPcJcYz6K4bSYtr9/Q/AAOvbD 1e/XKAPcaVEuXjzd4Nb2I/bGYi/yFvPYht+32c0zqPf3KRk2DbqR9+h2ISOX tafx+wPml1f26LW3g3PC6j6JiW5k356Rhd9/WDwnvXsIOuHce7LIMp0uxPUy S0Z5LR3+bt3Uq65PhanjgWpXJ2uQ/89z8p8d6UB+e8To0kUq8FQ/U5nB9Bx0 LOPg9jk6mM3cmzmvQYElhfOcH7D530JFqsfWjcLqxfwO41QKvKh6zSWeV4Le rlxhVZ5MB+P1J3b6O1GhZG/UXF9VOlL4uU/sbhGGu5NzNivuUGHv/EmnqN0O pBNpIpkJ4qMQQz7wOXecAlnBH87TsPkdPG5S8VKjsORZRm9ZRoUn/OL7P2Dz ObMn4vF7m+vbrMzxc9N/56hcSti+MDE2E8fPQ5eGjJfq6O0gOLssaj+2XlW7 mWb8vs3L90K7ZRa6IWl9U6hPdw+S9OLRO/iMBo4LMtzcSlQoM39o/OwK5g8H 846axNNgS+x05vMiTA9nnPf1Yus976vUJSZFA0rqvxM/8mlAPTV+8CK2Xi4B /fWLNjSYvmGtNVBNA9sE8XDj6nREzCO+R8wn5hHfI+YTv0f8PvG7hJ0IuxH2 IuxE2I2wF7EeYn3Eut5F2q6Nq6fBxbr37pq3aRC7b6678PkVEvGe+JwYJ+xH 2JOwI2E/wp6EHTOX0H38fmCoWUV/gT7GV/cf7P2I7bs/8SMUs34WnNnUZrnh Uge4X8/nl8wvQU6HzKd7NrCh+sSMxu5bHWCYWCLAxvTwtYqnDb+nlzlSWRVy pwMmodgBv68XryuK8Ht6V3JP5T8R64Ig/sZmycp0lDP60RK/7ydlW7HSTbIL 3B7rGuH3/q67fgrE74nFi9y7UlPXA1nrMp+/xuYnmj16jN8r+1tqsYcd3AW7 T/+7EluRjmQPKP3C732RKqf6L7b0wJj3K338/pdS0Doe/J7YLmcNw9tNXcCT bX4Wvy/mvbngnOYcBQx/o3ZFOgXuacxvCcVw9deG2ucPmrA4ZaOw9RN+Kuzh ztWTv92OiHnE94j5xDzie8R8jcFz5+Qe0eDsartd3zB7du/zGFvh3YyI98Tn xLhntm3+mREKEK8+Nqb8NyO60MOqZt8wDyZcqVE6umZgAHxH+T8KYrhdKpah sbi7DEjvphKqsqvANjxauXjXBHB92hP6rKTqv9fBe1t7prH8+3thZPxjlTJg hpHWmhrWwRbTdBYnlte+PZ7/aUdTFajXleeyztWB/67vl6EQy6cPXdL7i71P Vte8J4V9Hq2wIZ2Ejb+7OKx28Wbdf6/ptHjrMA/2f3IQchHyEL9H/D7xu+kW P2VWJFWB6S/lymXbMiCA+lmz/NoERN4RS5CEOkhq3u4msDsDony2zonvnQDl ugepn1KrgMYz7t+0vwBeGMkdVjOYAJOeb1sOatWB1tSuFnWtAlh57sQXKcEJ OE4SfVQgWfbfa9aLPQo/LCbA2rvQRl+jDH4bHNNBv5rA1aM+bjqRDXcZB/qs BqrAcmtrM1reDN5HooeOubCBU8OfURn/Hbry3KWLuZtBpMD/i7gBGz70/xr/ +KAO+PofiJQ/boQr3Z8/LcPG28UfvOmiV4H2xU7LhdUtcKy/r54fG88uCg5Y eloH7UXv7+zkawY9L7AYV2LDOA9dXfB4JQhP2nbmbcmAzNoLbN17E7Aro8Ss cj2Wl2qUvixYHwe2hkualUkTcGxBxFUwrgpW17l+378lDgIN9MxzsPnb9nAo vtpYBqENwep+GzNA7KJwtEw4pp+lFHQFm793ZRyPiXMCpBygZOD/56QxI09T tawKxg+FkD2x55h8sz6Fj2818LnDUKsD1kKl32GZOKitvn1lP0z8p3fCDoT+ Cb0TdiD0H/RaQOhLcxmc7y8O1dhVAJ7NX+vw51d47XIzECkDg4VPEq4yBVD9 sq0T/38sJjUPwwO3lEHyUzWX+X+FkDMgXXcGm69MUticufEZKeUvaVrrWCu8 5/XMxP8Pj3L8mpOuGnEwzyXZeEwDG299GI33od2l/dRZ9yidlNxZKVQZ0A5y Kjt01uqz/+tjI/raiH62rmJX69ev7pLMtpZoai8nQ46MRZ52H+u/vjSiT43o T0vGss9XW76TEp6UJv1y7IaTVXcvW1mz/usvJPoNiT7DtXVpdcc9yoo9qS6j MtHtkLiy8sBmXfZ/9Wyivk3UtYk+SKIvkuiH7Pp37HGG9V3SQrWuclpMDwh+ 8EV62DjhZ4TfEf5G+Bnhd4S/EX5M+DXhz4QfE35N+DOxH4j9QewLYv8Q+4nY R0rqkyechJv/ezWFI1eFRlkwtbBiuilxCIsv/wa56XcB16vSK9pYXvbp2vmY RYNhSP/Xmhtu3wV5J/saK9XoMBZyK0Xy0DBccN7Af+pJJzDkNgYOYPODDm87 j+d1chU7X+B5nu5aQxae383fl2r3wfI6v9OedySwPI/P0zS1F8vviLyRyCOJ /DGYu08Fzxsvl1zNwfPIvpTFYDx/JM4RiHMF4jyhNr/qf3ngu/xoCTwvfOl3 zAXPB4nzBeK8gThnIM4XiPMG4pxB8eyb2gfj/bDs0rqbjzjbQOnNWtess0zY LNgczp0wCNqrL2yTsG2DUpVEy5BAxn/5P3EeQJwD5KpNaphiefjA/K4C16x2 UH/Gc3cAy8e1PS6nth0dAqsKx5sNB9tAsq2sOx3LT4n8lsh3iTyXOO8gzj+I cw8iDyfyciIf32mvJnbefAjcOuZ5JPuG4dgFjgmS7AgcDHA6vRaz76E1mkoZ 9GG49vSKukI3lk978RkefDcE11ekjfa/HwbvSPlCMWx+BM+pEw6FA6D11Py2 uDgFlJKynz3CxlfskLi0yW4Q7v+JFj6nQIExhX/vjsYOQyavSqKqxSDcvRDk 45M3AlZzv3rS5Ef+O0cgzhWI8wTiPII4nyDOJQh/IvyL8CvC/wh/JPyQ8FfC fwm/vfD/6HrzaKr+Puy/UGmeDU1Kk0Q0qKS8KxoRKUUaRCWSsYGSipRmpJKK QoNKIVMpuxAJZZ7ng2PWoELktz899/V91vqt9dz/tO7z3c7eZ+/P+Lqu97WD XNY+1ymnAvXswH5/s+nsLtGkB/w+Vyx4+3XHiFLqkXVWer0rj66NOpbbe67x Pw4CLgIegnEZ4zTGZ8yLmCcxP2KewLyB+QLjNcZvjNuYRzGvYj7FuI95AOM/ 5hvMP5h3MK9gnsH8cvR+ZSWbhxblhbSO5q//hYzBTjYfxWg3PE5NvBefpePl yvK6QvKyZ7GcLlUnUcVtG4LU1YXKY1lel4vWOG02/vf7EBjzq/JpfMAfywFG C1LIX93Bjl2PXff2oSUZD9QHGPmEeqqmkcTFFY9Y7hbmCcwbmC8wr2CewfyC eQjzEuYjtCe0L7QrtD+0R7RDtFe0X7TbkhO9y36K1JBzxMfvE9KqaJXf89fd Z/5vf0D/QL84aCslFrS5hu7d81KbY1tFTnPvvDVx/b/9Cv0M/WtuUjmxenXX hlPbphdUUdD3wwqsbh1/j+/D9+A4/B2Ox/XhenGd6J/or+in51r6KV6UqiFB k5mt2QoBdQ089vjw9Qryjy+ICpYW/Pfv6Lqgy6pyVfR30IG3rO7dX2dY8rKP 1STSEjDPjD/eyiFhhMZwAU0oefQ5K6ua1ntsqV3EXye+F+fB9+M4/B2Ox/fi PPj+sGbzWgXDRvJ+4bZ+SUcWWen1NVO8VkGeE/vHsJwXkhuT+9kjl9ZM0m1i eS8Lwnfpsjpew7m3k1qzsqj2jTCG1fPGVknWh/g1kJbvik2vjueSbseyy0Vq lXRjq58Py4MYkpOmxTUW0fF8O4M+IqWkKeK0fja/P3WfeSeI7U8lp1euZXpf zPPQAb/rGyh1ylTBmcFFNOzZ7KJ9PSUUO+N8Ecux6vh+odd0fAGdKdcZWcNf fz+1dK2lKQ309llq8Nr5BTTK6Fbcjb9lNGji/uOMM+TKmZ9knEE6eHBRunfF f/ol9EzomFr1T00vCRvJ1lSn76WAVArpbY9nOQPQWaG7Qm81tdGNYXXRw68t aPnr8pkChimdZvXR8NPAXwNfTfEnw5iNlg2UVLEga0xtJrm3ZQ/Uc6v6T5eF Tgt9dqa8+pLNVQ108Y9Sn03vSsko52kEy9+4cPPPm0P850W3FWeU+1bQvWlL BHqHciny4WH1qZMaqGe4dWv8tgraP16wy3V1ITn4WE1knK2vqMYyxtm6TrUt Ybk0KWd2eDEu9/BD+xXG5UTbOWmWY6NmM2Uf2/c2rLSfy/bB+/KCj+Unh5HY EJXZbL9dKaKpy/bfQX2drvD7bpJ02xvLOMar+V/CGMdQ1Fw0WMAfbz7rUhrj JMXnLhYxTjJwx0v9ibHvqGheFdm/rCfzcIWVyk+L6H6o0p6zfLsarXfvGOOH VlR8hfFDd4/tx1keTlaKRTTjdftGmx1mvC7wwL1pLEcF/g/4QeADgf8DfhD4 QOAvgd8EPhP4S+A3gc8EPhj4YuCHgY8EvhL4SeC/gR8HPhz4SOArgZ8E/i34 ueDjgt8L/i/4vuC/gR8HPhz4b+DHgQ8HPiH4huAXgh8I/iD4guDLgU8H/pyg y25td8X4dZbYoZCllqm057xU5RL+ePhm4KOBfwY+M/jO4DfrIz1ZWkW5jrLF Qt4X3xLQraOrz6WtKyT3cdt096rW0o8BaZ+qrAWk1j5iaAvf3yPm9c31WVhH V3I3SFV5CygutD2lZ20hbc3q0pPvX0fT8u19vd2r6eQwl9WV/PFDDmrXa3TU 0Lfw8J2MN1Sd/Kx1k2//kmRZyrgA/jXLdpC1vl1IFv3MpB6/riG/DzOjo34K aLyY50bDvyVkJYyL/r28lgZnGSp7dPDzQOoWdzcfftzYnv58//da+pxwvOvr qGpacbfgeNfOMtIUnZ1oGlBDhnvV31kaCMhgvd6uW/z48178yl/l1UISNRCZ VaxVTSFL16Xa8P13kKKJTpGIkO7K72mexglo5SThhl0OuWSl9ey7+A0hBcx8 OmeFYTW//7g6nfkVw9aGTrrO34cnp8+VXuPvW19L+a4t8wupT9q0F2oRQhr3 gySXN1VT1lrxESf57+n8lZN1aXcdCUpTHIYeriGX8yG+c/jxwTo3RGleqJCG j5q1YnKVgN78Ccxb6J5JzlFmbsln62jh9oUPPijU0qOIvJUxbpk0xazukoDq yXPJlE+O3ZX01qU2JJS//x/+1O0y6tNAM08JZJXHV9G6iS80mO9IxqHXIyS7 ntxtS12ipvLrgVkuR0r4+78gUP7CkzH1FJqw2fQ5v8+Y+XBntgo/zkzzn9vf TKSB/mQqz3o/vYrk+58Qr7TLpbvtTdJDzgjJOtnA831PFUV/suzryH+P+8fQ 7/fj6umlZlNm1aVq+rpYXWI5f53l8xOPNSjw/eV1tlrHN36e+9Zym30e277T o31rHQ3edyzwu2w1pTQ+7GnsLiF/uw+jGU+cGP34I+OLl2Ln7rD4+pGWcJPE hXVCmiuomCzRJKC6HwfG9DRlUL8/Kzcxnhie/H0Y44t7Sl8NOLsvk3rCh29m fPjdojuDd2vU0NorhXOD+O9J0FmqejSrlip3Pbhpua6KvmaKKOzk+8X38bfu Mm5lI9G9h3EsG6deE9EzmSQ/O90vsFhIi1y3Xr37RECDJJavi+U/15DjJE58 qaXqvfJCxsns+86LkOOfI2eST/M2CmmjYrfK7PJKch18b8Yo/nc1C0SWu6+p I9fldePPv6ikzsGNhhw/LjWP9j6dryukxzJpvyXzKyltSRiJjCmlLDfyYPlH YmqHzMePqKCe0AR9loME/yj8pPCRwg8Kfyh8ofBlwqcJfyb8l/BjwocJPyj8 ofCFwlcKnyn8pfBfwo8JHyb8lPBXwlcJHyd8nfBzwpcJnyb8mVV7R9wNU6mj uWsdJX/W5VBu28S1A/nr94oaIXjytYZyf6nob47Koa8mfbKuS9eRt1/r5xjT OhqrNkHpzbQcemr4bMYW/voHBMVHL+XHnfCdt0cGtWeTfl+3M6xeu/jDaIH3 wTqS7taTv9mWQ3YLPkl7e/DrvNgYF+bvLF5wLID5Pe01TRYznyf8oPCHwhcK Xyx8svDHwv8KPyx8sMkKX8yZv7YsTvUB89t6nxAWM58tfLrw7cKvCz8r/K3w tU7KP1H29KCAFFZHGgx+/IZqhw96eYDvb1pbRKuYr33pgaruppFvadSPefLM 3z71Q6cL850fE80/yHzo/Qwj3Zn/XNrgjiHzlwv7nbRgfnMN9V0Hmc8cPnv4 7uG3h88evnv47eGzh+8efnv4++H3h88f/n74/eHzF39eX2WeIKBFhxuk/qyb wvlWJ4REzW74r64AdQaoL7i4dfSulKQcMlpePevtqxoa6u3/KWpd3X91C6hj QP2C+NTj/VgdgkCu7DOrS/giu3cVq0dAPQPqG1DXAF8yfMrwJ7/uCd3kzZ+v OTpohnNoDuUHZ6uL6dZRaofPFebjD/L7MpL5+gM2vVFifn748uHThz//sWzb dubjfxWfFMl8/cuDz/Qx39xAS1w/jPzzroYGZY/zWqCTQfby4e2f+P27MN7p k2deDdWP612sJ5dF5V7ezye+qiP5qtUy+2fUkMf8DnvR2Rm0//dUp55EIeln lGSLPRVQU2ZGRrRoFj1dMPg7yynyGai1zshCQLOsh4172J1Ja8v8pdr59jDT 0C7iur2AeqZdXL+hK4uydx682Yd/vneFXn9ZLsz3zKVhi7yq43sdDAeyvHT4 leFfhm/5XvKKTywXXcfMMpXlorudijacE11Fjx8P2DIhoIGOHkq3H/6oOn5X YoxYIT+OwZcMnzL8ycMjhySzHISNwZYbLqRlUdXMgzLdbD35Zo9pv5R6in32 xHCaQS7lWl/TYuulBb1pU1kO1NoamcczN3ykedLa51geVHfE+S/GYfx+9s7c PbO2fqSBd9T1DYKFlD3g99KUkBrK8dE99JVx5dc6shL8790hqvrYekQ9NZjO adLwy6IekR+dq/jrmXhJe48ff582DjkpNJ6bSwsb7TmWM3y91uYiy3GQCHov YuaaTaobxg+dwo+TlefOynhd4c9vs//wJJlc8qrMdvnB78cNbCUFhd5Csvp8 xOiFZRF1jvWfJeCv33x3y/TCP0IKfBh3NX1ZKVXn1B45wu+nPBXOTmP5zsZZ ftqjrxWR0ebJA8baVpLP+fnTT1bWUcPl8uDKnyX0a3FUB1vf3hvr31lrWk8D o6n/zoJi+nojJo+thy88O5DMcm9tZ4U461aVUCn3K4rl35a9sdrLcnstXkXK r8soJ9XU5+ay/PxoLfyryPJ/pfudUw/6UE5HtsQMZTnAo4RLh1yOqqOSOavH HFMrIvcgpe0GL6rp3izJW/cW19PkxSq1kyryKen7HOtl/Pf3C5fdz/KaN2uc +KlYnE8X7hrrsNzmiq4ghX3T6mnsZLPMZQsKaOzIJXsV+eMzhwg0WF7z8ov+ yX0D86nJqs2L5TYfCcvcaHC5jn6WTTu3/nI+FWq2J62JFFB2WsxQ6cA6agnq GFMlWkjhNfJ5HfzxqzXmrrg8upZuZj20PuZeSX4Ptsov4/cdfSzdNXyia8n2 52adML9KKr9r2c3yAE2nF3cN9qslpxNF/oFPK8jFVNsokL+eVVqb7FmeYNLS u94tiuWkcP6WN8sV7BwmVH3kVksD1YVxF3eVk4NB2iHROdUkvTi4sv/4GtJv FKnUlc2ndMkhJz/y4797V2X44Gn89xQq+A3dXkI392et7MPPU9Ez6HhnsYAe /rkRMlSnhBQl9CtS+HnENLjRtrRWQD+UJyVOHVFKE3aGZpTz89GiRiMVlo/s LDJih0NICak8jlNnOcn+cd+CPxvUkqOUpfiCO/x6/Xrq+li+P6tOXJ4halJL 6jsuODWvKKWlLhYPXPjj16/vUU3QqyNT+yqLXzOKKOT4if0sl9vOQUl6uXIt zdhy7+GBlkJapHriwE1nfnx1Ej9+oKmGgrNV5vlXFtK0DLeO8GR+HHwru2mX aA01hm+Z+EOsnP4OyFtj3C6ggZMbqpjeHLr79yamP995csx7N7/fDK05HMv0 5bNKB1YxfXlcmkZoMb9Ow3H4OxyP4/B3OB77XuyDsf/FOhLrSqwnsV7E+hHr Rqz//lsP/m8dKFw9R4Lp4mcDddcznfzoNpvfuilh/+3DsS/HfhzH4e9wPNaL WD9i3Yh9EfZJ2B9VxKtbB4nV0Sn9aQ0OJ8sptkWyWYIfHxp1do5huSuaAXX/ cleWDXvEclfIed6rVR+G1RP3QuHqkIBKKrY6H7Cwt4i0qr99vGrUQD5fw3ZR TSyNlfX1ur5GQBaWr4xD9Bv59dXBmzekq7ijl1xlf1V95K6axL5hurbh/W0x TNd+fctk8LQPYdTra9aP5cYesl21jPlhHvlsSGB+7PevhWeYfr1QT3ku06/v +Fx8wPJRRR0dDjL9/aKtfS7T3x2vntvNcnrF6pvamb/leqDmOeZvyYu5+ijm 4Wdq/Fq1nPlkVtu47GM+mfdqT51YDrD37+NJTK8/2nVXk+n1Fg0u01me7Txb 1eXMh9Mh/a4v8+G8vU0PWf5tt3l3J9PxF+XuW8d0/MOKBSosL1fk5/qprL5r 8JFDG5jfRuwI/WZ1Xh2Rk/uyOrek+3vuMv/Gb5vjMazebaTFQVXmO6qbo7+I +Y727DkSynJrV/1dosXyat9nyiSoRBSQwbzrkbb88ZaDoxOZH8n9yddxzI9k POyZBMu/3aoeHs58XBtHZE9mPq7KtPpmlqPrst+9lfmjspWHNTB/1JsvvXv/ 2v/fOjrU1aGe7nLx93Dms1qndCqO+awG+levYbm4UYsPKDNfzYKN1fGVlE9/ tAfliPLHb/TQWCQ5u4nOipB6j3sBBd+MHTaL3+cu6uo/RFmviXL+2Nkxf5qT lLmO2uFcMtnts4/5ssatmJDBfFljJHV7L/Dt8NAn7ed3xBsotGPI7nsTqqhe K0rQw+8HKz0NrPRCG0jsYePjxMVVxC12VFrJ/179ttsuTN/P+3RmLtP39+lm jBzL7sOKaWuZL2vxhLknmC/rorxRh3n7Rzob7X2a+bKGjUjyZL4sRY3ORyxX 1nSsph3zZZkZbA5gvqyYyUmSLC93WNOgLuazqk6w3c98Vk3LhrmwfN3+zd0X mb+iTb/XjPkrnn6Qb7vBt9uhxVvWXPKvpb9n7ZZ1mvLz0bv6oUH8eGtz7Ziy zrRa0hvsuHHVjELavkZDfSz/uXOG6NErQ2qp0yN1s/26fCqYKWWsuquWnta1 za8v5PcZu52S/NtLaF2g+NrX/Lwg6r1yHstvVfsp+339xgIKEIvp1Of3fYlG DZrMB7Wpe/kX5oMaekN7MstTvSl37U9iQSM1H1z7YUVcLp1fmWyzvE8prcjz yGO+vp+T17QzX5929wpxSf6+zUqOecV8fZccs4YxX99NU0dbljstpZm5g+VW z1f2OMf8hFJS+31YfrWIQ7Uf8xMaZaeEMD/hw5t2Q1geNXgi+CK4IrgeOB/4 Hv4e34fvwXXgunA9/13H/64L1wO/FPxT8E2BS4JTgk+Ch4KPgovivuA+4f6g X6GfoX+hfaO9o52jf6K/op+CY4JrgmeiP6B/oF+An4KngqOCO4BDgD+Am4Cj gJ+AK4EzgS+BT4FXgVOBB4EPgQuBj4CXgJOAK4EzgS+Ba4BzgG9gPML4hHEJ 4yDGRYyHGAcxLmI8xDiFcQvjFcYjjE8YlzB+YTzDOIb+g/6EfgQdAroE9Ajo DdAfoDugf6K/op9C54DuAb0D+gT0CugU6Lfox+i/0GOgz0CXAe8D/wP3A2cE dwRvBFcFZwVfBVcFZwVfBbcFxwW/BbcFxwW/Ba8EvwS3BK8EvwS3BIcFlwWP Be8D/wP3A08EXwRXBIcFlwWPBbcFxwW/BecF9wXvBTcERwQ/BNcD5wPfA48D nwOXA3cDhwN/A6cDtwOvw3yG+Q3zGuY/zIeYB6EDQReCHoR5FPMq5lPwWfBa cFrwXPBdcF3wX/BgcGBwQ3BE8EPwXPBdcF3wWfBacFroVdCvoFuBR4BPgEuA R4BPgEsY2XSeYjyiXvHyCMYnYmZcPsO4BHgE+AS4BHgE+AS4BPbz2N9jX4/9 PPb32NdDL4R+CN0Qegn0E+gm4B3gH+Aer4Q/tXa2Z5OV/sqrOvw6PVZtzdYD /D7u0+ADozaE5pC0YPfD4Fc1VHJ4g2nPhrr/dEToitAToctCp4U+C64BzgG+ AY4ArgCeAO4ADgH+AL4A3gDOAH4BngGOsfeMw0fdqBwyU394l/FUa6OPY29K /19+Cp4KjgoOCy4LHgt+Cp4KjgqeAr4CrgJeA34DbgN9Gno1dGrsB7A/wL7g d4+lF9s/ODfN/cH2E/vfcg/YPgLrS6w3sc7E+hLrTawzsb7EehPrTKwvsd7E OhO+W/hw4b/F/gf7IeyD4N+Fnxc+XqxTsW7FehX7GexvsK/Bvgv7MOy/sE/D vg37Ney7sA/D/gv7KOyrsJ+Cvxl+Z/ic4WOGrxl+ZuyvsN/CPgt+BfgX4FuA Hg99Hro8dHTo6tDT4UuATwH+BPgM4DuA3wC6NXRs6NeoB0Z9MOqCUfeLOmDU //rWavyrE5bSWKrL6oZ/ZUWvYvXCmdffLGV1yMM358mzuuT6zAUitvz9R90y 6phRv1x83nIjq0+eVpYlyeqVNQIs7Vmd8gQRvX/v42me0T2c1e+GDT71lNXt Ck76f2F1v+PEZv9ldcCJI84ZsPpf1NWjzh719aijRl016qlRx4u6XtTzon4Y 9cSoI0YdMuqSUY+MembUN6OuGXXRqJNGfbSrYfxwVhd9Y8ms350SmTQ91vgF q49G/TPqoVEHjfpk1CujTlkvxT6f5a3krBysUL7jC4VX+Wey3JWsO+1HWV6M 8+ej8bH2X2jYRWXPEn6dHLT0pRurb992a1EHbU8nFWtVuQv8PCgnxjmyXBi1 c4Merk37Qof7v/7A8mFQ/4x6aNRBl/ezm8Fypfv1mOmz93LaR4hZsfeHVsfN n8TyHcy+DZnH8h6Sggx/spyH17LtP9n7Oqv6/n7D3tcZSlMi2HtI03flF7Hc h8nzutQThz6gtyfOfRzKz9fIp0BeBXIqbMJd7rO8iRVDig5pzX9Ak+7uG7Oe n39t92n/y5vIfqxTxPIncsQd/+VO7NvrqsvyLITPjqztHhtFvkr+O1muxZvk Hf/yLGqO2fW7MyqKpiSd/JdrESgXvoPlTSwoT24TCINJ8LrsqAV/f371bZrN 8iaONl2QvSaMpPTLy0xY7oS7ua8Ky5UwOqUh/TeNo5WVrkOk+PN2WXqFsxyK 25LK+vciOWppc97J8igWvvizn+VBiIyNiGD5EG023bEsF2J8uacFy6FQuT/m wk4/jpQHlTp5Hcklrp9zHsub0FQRGCRu42jau4sL3fl1BfIpkFeBnArkUCCX AnkULyTMX7P3eH0OdZZz8/1C812vKKfwx6cE9vGv+dlM1y/+ntnEj0P67UHr SvnniDwg5AMhFwi5QsgZQr4QcoKQG4S8IOQaIOcA+QbIR0BeAnISkLOA3AXk LSzJvzGoybKWrvvel/rrWRtvFRWU65Ms/C9PCvlSyJU6qH4h/OG5Gkp7b/y8 UUuMnE4tlC+/WP9fzhRyp5A3hbwq5Fchtwq5EsiZQL5EsVvpTJYrsdy3sZzl TJzWEaawfAnkQyEvCjlRyLNAvgVyLZAfgTwJ5EhcnrLRheVEBFX3m8tyI14M tK5heRHIk0K+FHKloAf8pw/8TxeAfgA9AToC9AboD9AdoAdAH4AuAP0AegJ0 BOgN0B+gO0B3gQ4D/QX6DfQc6DjQRaCTQB+BTgPdBnoN9BXoLdBZwJvAn8Cd wIXBicGHwevB78HtoQdAH4AuAI4Prg+eD30CegV0CugH0BOgI0D/gB4CHQT6 BPQK6BTQn6BHQYeCvgK9BToL9AnoFdApEjKb1zFOV+by2J5xO4XLi0wZr5sg P2++hmw+7T6hpdA1robujzwhVcCv28EBwQXBA8EBwQXBA6EPQS+CTgQ9CfoS dCXoRtCRoB+Bv4PHg8O/NHLKYu8haM6NIWPn2viujyVL2PsIoKNAV4GeAn0O eh10OuhD0IugE0FPgr4EXQm6IHRC6IPQHaFDQn98JPfT31K9lL5W7TMUn5lO +RbZ0+vzm7jPgrBGn2mltIxTLzCdlk5vZM753ilr4oRyUmOvzSgl+u23XMk9 nTS/h+m388ff0Z60cdGEHHrpbhTL8ghnHA32UZdu4fR26VuwvMKrc8x/svxC qb4RPlOTmzn8f/x3fP6gol5qvWge4V+bXwOMTbY2c/henAffP3x92sLks9mE f7XzvGTHzmvhJnx1VP6cwLe3K0p6T2e+oRUWZYE9/HU2Rl+rWedUTicUZnpf nPKG1rtpuq5qauJmJ/z1SOD73XFrq812w99RZ4+i68rCJs66YEPOjrVl1Fwb pyZ5OIXk1+6bU1jQxPV1/rbq7chSmtEzKlV+Twr1Tqt9uFKumaPEfdssZcrp 9vRRz4JYrm1GynxT/njncfYdkn1L6b1Eqv+1pwmUsff8AO89zdxDfUWTmhH8 73S62FB5uID8h5fHFfDnvRD2SzstLJt2Okzp7dleQO9bKg+9XNfMiZgOSxmc lE1qHeaKt4yLaHdfnelh/PfLljx3H5yeQEXmSS8XXSgncwWf/s2vmrjvxnv6 nbmQQjLLw2pTb5WTYOLZ+H3HmzhcH64X14nfid+N39tmLHOcnW/sNcM37Py/ +luMZefF9eF6cZ34Pfh9+F1vj6ZOCZmQR3tT1w1ZYVFAHlXGG1YVNXH4//jv +Nz5tZdhc2sxzbALj/9xIJNafDQdMvjz3g/e9FrsUREpr44zke5Oo6lzDxTp OzZzy0Z5jrn1pojKEjMuBJtkkuzYe/PdpzRzZy+V5rDc3uBLti0sx/fcsvGH WHuTKRULMLYsJ05jRvXhmEAy9Vo77TJ//KoPYt+KMooo8cn0/NSp2VQ2UGjf y593qt31aLUbRVS151du68oUOvbxY0ci18ztfmvZ2bu6gCatOnZ2q1YmBY4T nNr7rJl7vLly3jOVAipoH3WsuSiN7mSvXrGpt5n7dGWEuFJLCX0fHzF2in8E 7VB9UlIU0cxl9LtSm21TTg+HX7CaEBdBt/NsBZuGNnOZ4SWpS/n5ZYGiVfab 9jiSkfXwdPVu5lznhEbsmVdBRwOls2sSI2jb5Msqt/jrjBqTW/b2cAUpeKes rUoKpAdK6QoB/OdnDYWfzfdVUtmN9Phbjulk2m1+S+NCI+ccOFP1zcNKChwc I5l4Pp3uuC2c0WrSyF3067tG3b+S7DSPBVZu/0RxJydHmvDHy3grfHNaVkXb gsquq/YkUEu1bfnt842cdOD9cyVllXS/Juna3LcpNCvu7tYK/vOB9m4a3iVV VFWwL//R8EQqPTJj6n6ZRi7xmKm7WkcVNdvcOdTQkEKDTn+W3Z7WwHXGT525 9XIlXTzwtd/CxgRS3HVyZWhnI2fbd0tL1s1KKsq5e+lReAqtDQq95B7dyFXl 3C1j7Xt+dlI0a+9eWqtjWDt/FBVdefJFOU2b3WmVp59OukcurYtUaOLQT9Bv 0F9+Dhnj45xVTbXLl0wy606hGx8rm50UG7j6FT9OrjevJrPRnZ5jBel07Iap RuCsBm7Ozr39x2dUkWL52mFixWk00cr1W3tIA1euGHHt+VoBhS5Pvn58/Ec6 tOX2mMTMem6MzD7riVsFJBVaRlxPOikbTshQsavn5th3pSnICWhu0bXJx+cn 0hzzS3oJ/HlbPeePvrJUQF9G6H3NmpdID+YkFahNauA+rDO45bDtEynkjr9t dLeSlMea7Je42Mjh+eF54jnieeP547k/LdNoYM/jno+SAXs+5idVJNhzwfPA 88FzwfPG88dz3zxl1YH1XAqlTC5J9qqopITBdtFPPPj287/nh+eJ5+gwzsS3 NyqFHMeb5Qz0raSIjAMzp/PPEc8Jzw3PC/MT5ivMU7gvuE+4P7jveA64/xOG rcg5xt/fTcc2xrL7XT5lrhm7z3jeeP547lWFDzfG9MugMS5PdD/wz+3Y1Pl3 pW3rue6XX/W1W9Jpw9lNcb57qmlpa0FuuXwD52XsK8naQda3iZ3j+HbxMkyi i7WH8XOl7NsMc2jJgNQN3s5xNHLcjUFiuq3cngc6efn7sumq04a5TfoJJL3r zNU2nVbuyLpldn9Dcmn93MeLzC/HUT+9BWvaJVq5rK45kwvCc2nc54pB6nsT 6Pee09u6W1o4y0793b+GFtAJ6VGpRk/iiJv6ZN61hy1cZrvlm+1SBSRe5Kn+ yymBBFMs7vw43sJdD/wicTQ4l/b2zolZbxRBv4YF+bbMb+Um6p0eaDaggGbN TPPbZxVBg0anGZ5NauGuxeaO+CuWSxmrxcNZPvefxA3aKRtauXNDryVors6m lOspB/VWR9CAJtcVstdbuSl3Mu6s18omd6u4ga22cSQXKHekxbGVawldLr5d P5vqDwe27ON/r4dP79VhG1u5tAGm5olni+nP7I7prK70yfGbmrr8/P51oYvn ONViOh7R3/f0xQgKm23mq8h/3iL+1cjatoiy7kX3dT8VSK8W+vWobG3hXEJ2 7ma53oHyky1Zznd7iUdBrGYLl/TuVr9rogUUmLlwsqFFIC04OWnKtvwWDuM7 xnuM85g/MJ9gHsE8hHkJ8xHWAVgXYD2A9RPWU1hHYR2AdQHWA5gnMG9gvsC8 gnkG8wvmP8yHmAexPsN6Des0/X06xayu2EJ1ZAarM964xLJ5Ff8cl45SCmX1 vU47U1ezet/+w5y5OataOSWZ+fWrNbKp7YeP/HINft7U15v640ErJ5/1u2lw NL9f23V2ulRWGkmT5J9R/HO56lwyK2FKHsmqSj5KVc2k4S1Zq6ykWrgxLyR9 WK792TOFZRtj08h/ykG5isMtXMoPra2/inLJ+UhNWeKiTNrp7n0zeHoLd2t4 b9GN0lzyKNn7d7N3Js28c7yLfc+6qprd6vuz6ZX1q7Z9d9IoI+hH9arSFk4q PET2+ZFsEvU7doXlXm9zzDuvdKWF23L5VNXAzgJ6ebJv4OI5KaSwf8UtHf46 FRMO6bDc/FJFuzksR7+/hZggkm8n72vk9+vNKaAETb+CD0qfyDFQd4MXf/ys U8O/mp0vouo5Mf2veSdQVY/a3j8dzdyjVGu7tl+F1H9jieSGiwk0yzBGYiJ/ fGNysIZsbBEp2g8bl5MZRzN7G0ZY8td/97N8hapzEU064S61OCOOHOq2BQby v9d39Cm9eyeLKMSn0v5+QDzliT17ws570DXAmr0nYOXSbGP23gCBt/hx79gW TiwrObmO70dc0FqnSYEJNPnN4mFf+XFjvVV4yNId2bR0j1bUhfZk+n3j06mk Ca2c2hyvwVkDQkjMt/hik2o1hTu+KbNe0cgdUVaSlrsfQQV/b8SKmAjo2YT4 U7bbG7hThkfKfHYE0bBFof6bogWkFHxvdBw/Hro/9ui6LvOSvPY8cfx+XUB3 f967uHduAzd5j3zhdSkz9fh2u95zHjX0s+DFyykX6zmDo2b2G42DSCUqY73t +RpS3rGtOM61nkuWcLlCj7LjY4zC5z+yrKXUT3Zfs5KFnGqn15IAqyCaKls5 v253LemaKb9M5D/veFeT81F6HKfouyzd7Q2/b7TyPbhZuYHrc7DhZKFhPD28 un9MhbCV3AIsDyS7ZVCzCXfg7802mqQiZ6O14CnJ9Bs4cdKsRLyHcen/7z2M 3JrrZx7UB2ZT9Nl3v7SWNnGGvmu+/W4v4SSWeXeOH8Dvd7aaH1Of2ET3XmSs M1mSQxOumlwOPR9EoyTsEvZ21lJmrsHVtiX8dVq0FeZdekllIqplan9ryd5s 1VvfiUJOcqnmSZFDL+mz3vrjtLaWn6fCb1Z9EHJh2/ZlP1mYQFKCnnDJxQIq Mfmkt5O/z8esKpQkU97Q3pbFpzkVAZ2KLPF+sKWB890vGSQd94ZSzlhXW1gK SO7Q/lm+cxq4F76NF9eVmaqL3/VaNKSD358uHZdyQFPImXgm9Zu77SVZipqm TLlSQyNeKznnmNdzP1brLWP1pOPG/93L6kkL5VfuClMUcPn9bVx/idTQD8mV oyelVdGa/ROmdp2p4sQCHHR3zK0h661l3Nj9lXSp8lP/lferuQhVz5fPhdVU fsRh+MAHVbTwpVn2oqJqLnWp0ZwJpdW0ZfL82G2GVaTqNOjGutkCbq3jD7/g zTX05+kFXyXbKtK5FnR+h2sVV/kgdXylfzUF6ey0V/WroqN3V5wbzx+/demq qxn8fFz96nSi+nABpSu0TlvBH4/z4fw4L/4e34fvwd/j+/A9m71uitwwq6Ht MdViMwqqyHp6nqfPgCoO14frxXXiOPwdjsf9wv3DfQt9oVjN6nC7nDx/sTrc q2Fv0k7y12McPmn1eakauvGi6O7uFQIKOmT+zeV6BTdpXn1dkLSA8O/3jN3b 1OSqOByHv8PxooUFaqy+VH27py6rNz2cdf7uXv5z/H/8d3xuXTHI/qZBJI3a pzX6SlgjhUtE/NjoWMWtCe7Us7gaT72/HxmdettId17tt1Xlz1us81b+0PlI MmvT8p0Q00RJCsZHH12r4P5amSWxerx1L+u6WH3ep6W257Z7V3AHr0feu3Yw iQZck1cr/tJIqo5bv26NrOSqvT7ePXg6nrZP0P4de6qRzhqRZ5N7FbfQwOv9 NYMk2jvhnV3u+kZySf0ld4m/bwHZIeqvHybSisjwM4+mN9CHHyZNbvx9K1hd 0f5uShK5bbmXLiffQPInF/3ymyjgvq5Jt1NWjCcTo8HHZAwbaNltFZkF/PHP E3brjF0UQVywf5L3i0byGfciUs6tinvcWRlcvjmYrr2SK5d930iPbd4/ceCf b1yMjhfzu1vnJ6xn75NtGvow3N+ngtu+z2nuTP6+OY4K27I0pJEup048doL/ no3nR1xm9XtHeuWiWT2fuvWAX+78eROaFON/BybTrYVzajJCaqg3+H7jcL6/ B9+J9Gncn0ing94eN7xXQ4Id3tKRXULO65NR2BW7RHKf1kd/ejn/uc6Fp1eS hJxS+4UTDhs+Ur6/1or6S/xz3mm6LC5RyF19YXLYTT6Dzly9cnv4jBrapnnT QJ8/Xj8x7Nlz44/09LF4UvKUOpI0zBN9rlXHKc14GSO29SPljHULWhpWQy0L nX7aBws5RfGe3lv+iaS+2zYqblQddbU/MHgWXMcZDPfYONz3I8msGm8oMaGO kmXfOMzRqeO8946ZUuDB3//f2yJbjZtI3t3tDXlVcM0FNyvY+xdyr0Z9Y3Uq sr8SJVuX1HPxAWbjs3e8pWHGFgci+9fRovkDDyY31XFSPTIHVym+Jb9TTs4+ E2rpis+Z6QP5+7Pky73zrK6y3FrbnNVZzlKI2FTwsIobvcZn5vOJwWSp/Ovo ypsNtOLrkU/J/H32FG/a6TTIUP3RrhOCpIeNdPrJNuXZ0VXc9JhSuWhVU/Xs kjXDJQIaKLlZYn8lf/w9918KWyYlUcOs3WOsZBqoqaT4WSv/+YwDi3tv9N2v buh4JDblYyPpf3r22YtvD+/cm/7sjdmqLvfE6plUXhM5Gl18L8r3I+XL7WeU AvPIxPxD1CbnUqoLWsBN4vdB9qriffYa59Hm+Vx7tmMp+S8/Jrbbl9/nOi/f b7g9jyKurTwU+pw/vkTvXiR//NTAzR5NpnlU77T0Xm1xOX2T6XvJo7GBOzz9 vN1TkUIyWfTp847FFdRnRjQnodrA1W1+6OJ3K4/EA3/3S/aopGkjPPQy+Pki Ks5i68XuAuo8U+eyYUcFHbnw/OUYpQZuV/Gsa/OzCkiKM4msulVKdr0RJzTE G7nw++fHR9Zkk0zojp+9W0tJ26EgfLVkE+dqou+yriebzOTVt3jqlNMAtaWd X/jrrDx8KNE6MpeyBugd3JdZSQ4mFbUn+XknKOztF8dBOXREbpnu5bZy2m04 UuaSYSOXu+xu5Gn1HOrduzxkZy+/v0tRUO0ybOAUt3wxGPQ4j9w/LDt6qriS hm8vGruyvZ7Ln/fG675eDnn2dx+cN6Gakrus8m5f4tcPtVN6Zhbm0YCUm73c gmriouYlrP8m5KbEDKjuo5ZDTpXvXw5SrSL1+Cuat+Y1cLrrTJucTufQwef9 Y1xOC8jBv3286AEhl/9lba/z0Hz6eKaqZIafgJ4k+Ky3T6zjxn15vFHHPocq HkWEekkJqDbhpkk337/SZT23BFbmkfJGzZVPDvLzT8318mD+80Pn1V85zi8k r9dBH6y+VpLBE5n0Wzr13I6OnhAXmTzSVpn80tqxgPZM8yo5n9fELYtbEhub lk3J16/suFFQRF8TT93LfdXEqdVt1TdWy6MUB8s/sj+KKHiZxcGCFU3cxI8V 7xyuFRD+PVa957yHXhOXdcG49ftL/nt/XbogMrqYumWNBpzg98sRI6zN2Pny JaZGsfP7v13eyM6L8+H8OK+47+Ahtw1LaenBhHvba7PJqXdSfB/+ueM6cF24 nvImEROWyzrt9MRnLJe19Xq6ngffnlUTyWAhV0y/PeO8lnMFVPm8sq8m307Q ztDu0N5sPo469tyllCzsOtUjg/KI/jRFKHo0cvg9+H34XfhenAffr541dUIq P++X7s2facPyecZsqt7Aj3tD+oSGNOlWU2/g6qTTloV0ZKSGRjG/HrNVttAe pFZNi9X7d85xzSf1OpFdnfzxr9Nlw9nzrpdYpsSev8KUij3suRfF3VR5yT9v 4Z1iH33++addeLc2jP980tXgN6w9+cv1+cbal8r58RKsXdm4RgpYe5qyr7eT ta/SVzKrWLtCO0a7Rns+30di8Du+HV+wHzpWjm/XzeF9Ill7Xiwx7+tN9Sqa ZWd3WG9hDtnazuwJ5/vvuSEiccmFleRsfOaCZ0AOFbvvfSBr0sC5Hdned9AX /vO4rn0GUbn0p27JWFX++MnbdtmwfjWgOEKL9bPJR4wnsv5190LXW9ZeF/lo P2ft13eGci5rt1iXYJ2C9QnWeVj3Yb2H9SLWj1g3Yp2HdR/We0/OHVFzNBXQ sXff5LbeLKSjIzW77Pj5aNO28PEJrwRU9TXVd+LjQtLU+T7vSWctZ15qoxn4 TECN7Su2rGZ5OH0VJBZq13F4fnieeI44Dn+H49EO0C7QHnAduC5cj+W2IRMN +PFuysf+7zL48W/+sKmLU/n25sIts7gSUUo+E/fafdrFj0MPFj/6da6Rw3Xj d+D60S7RTtE+MV5j/Ma4jfEa4zfGbcwHmB8wL2A+wPyAeWH3d5FYleZymt4r 8mazaA7N2tamnLWtkQPHAdcBzwEnAjcCLwI3AUcBP8F+FftX7FvBr8GzwbHB qcGtwavBccB1wHOwT8a+Gftl8CnwKnAqcDFwMvAxcDFwMvAx8C/wMHCwN8fu HHjnHEePrz/ybTXMoU+zRM6K6rZy4HHgc+ByWhNeXGP7c+WRWQfYfl1XfEYw 26eDC4ATgA+E5Jf6KdqWqs8crV18eX859QQ/n6Ah18xBb4D+AN3B6Vqk2E1V EVox9eUg80sVVBSe/uR8QRMHjg+uD57Pr+f+it9MUa9rCx0TU1dCP2qmCT3S mznoHNA9oHfcrhdXYpxCNi7Qk3ELpwjp4YxXgPuAA4H/gJeBn4GbTV3coXp1 fKr6Bedz99uti+h24xH/7ew9xf/jceBz4HJSuZuUwnccVX/rrPwy9F4xSZsG SzIOA94H/gfuV6eh/eWm51H1Cu3sR+tECmjTjMCVa0pbuICbXss1XRLiZ/8p UZoRkEtzDd65Smm1ciozuS8jToWpG+/y/pt8OZeOvvb7OXhDKwfOBe4F3gWO Ca4JngmOCa4Jnvnr+AqpfNs4elLh8JK0sunQioc2bY6tHDgmuCZ4JvgReBI4 EnQj6EjQj8CnwKvAqU50LZfYeyeNViRuFVm2P5uWfjuxgL0XG5wL3Au86/CL X7uNY9OocqBs4upPueTgM7ep/HALd9tE5kL2okyK9Zup97Mol2SmTH7D+i/4 F3gYONjRVTmnjb0zKWWk95DTpbl0cqTHTxu+P6ZlhttkqmaSRfBFs5QpebTV J9OE9dMFwYuMpLPSKHf/9aPdUfl00CuieSx//dCxoGtBz4L+Cj0WOix0LOha 0LOg40LXhZ4LvRb6LXRb8DLwM3Az8DLwM3Az8DLwM3Cz4L5DxVjumNJYmWCW Q+YabK7H3htuMXZfBMu3FL6N6GS5Yv2rjhlEO7VxR7XV/ffyn78dMqf/Jvtg Kvvk+Y4d/3T5reS6JWmkeC3r/ZKZgaTSVn9pIbVxa88cPsXyy/R6D7/6l2fm aaHx4XEbF2Xa3cVy0zxcfzq8Gh9Bi4XTa7X479d1rElnOWvh3XLrRCZH0Mqf Q5YmWrRxWg+Nf18Zm0Avbrf2vzA2guwF8qEzb7Vxqw7Mef4sM4EyridfXDEr jn4+XlDJrscvcECfDeMSqJgcWxxmxtFp9a9N7H3fw0bsVGI5ZVaPNVM7et9Q uLFl1lb++MhZ05qnUBqJJ7n0jJCPoAsL14nKKLVxvcmPHoWEJpP9uFf6nxfG 0d9ZWtpLdNv4/Z2vuurqNPI5Lt6+cnUc/Rhv6Dd1TBsnEbzhLcs5xb/Po98r lBm1cQ76J658iEqm/NFte7rlE0h5jdW6+FltHO4j7ivuJ+4X7h/uG34/7gfu w+HFZxvZc5pcHNvF8t/M85N2sOeF+4v7jfuM543nj+eO+47ngPtf5Ruky3Lk YmsMZVmOXNbP5Yq/Qts4ueDrK1iO3JPdOoosR85pcj8tdp8LvwqzWV7cgVS1 YC/VNNI3zrvF3lOP9oH2gnbSPHH0RZY7t7ZnU7XhghRqzJJzYNeD54TnhueF 54rnjOeLdoB2gfaA54fnieeI54Hng+eC54rnjOe7omX1a5afm/B72RyWpyvl 1NUo2trKod2gHaH9/KxK80s+/ZnG3rkw5qlzGl1+7abZl59/Y4fdXj5rWCad uHCpodc9jYZ3O8g38/P+WNloFU48k2bu1rydEpRK3FjOYRJ/vPfMrD4sX/SC 5OQJLF90xjqbihH858bJUl19dqWRa99tu2Z+SSazPZNI/U0rdzK0cSHLCzVp 2daH5YXGhir00XBo5c5bBPib2qQR/u3wW2hz06WV65g/uOXdzy800k9JT1cj gdzWH3D5/qCV0951YrK9dCbh3wNfrtdL1Ldww/etfsxyX5XjtytoaGRTP6ml Xkw3WTs9bnXk2LPqrzJ2Na9ZmU0nCzSvnH/ayuF34nf/93v/d19wn3B/cH9x v3Gf74ntlDz/Lpnw74K5IwK+d7Ryh4yuKMzgf7+3qOem1p1p5PxEcivx9wG/ B78Pvwv3BfcJ9wf3Hc8B9x/3Hc8B9x9cD5wPfG+V+ums22KNVP++r+8Sy1Rq 3b5DRd2tigM3BEcEP+z67tFwQdhI/VQn+10ISKVyH3GjIqlK7vO5sqrVoQ2U K/OyrcflM/WP+ZS33bWKs81+GNT7lv/+HS8e/fnymURWlyf636zgCrL7Fe1v byS1rTseDk9Ko/VJrmOsrlVw0+v2fXixrIH6GB12jlyWSu1H49Zr8Psd3/lG hw9saSDXX1c+PTL/TPP7yf8J6FvNgYeCj4KLgoeCj4KLgreCv4K7greCv4K7 gm+Cd4JzgruBw4G/2ezdNXWOYSOtv7ZvqlpHFmW77UmQ46/HdkzT1cGHG2hc dndwW1YWdd/qCTqwuIrrKpulvtmygaQjFE9K1GZSqJLdby3+/ve034kc6tNC /bJWOTJfcb+g1eFWaws5qegu0TTmf56ktZ35n/9mhWQOCcjlBJJ7pZ74NZDa u1qnfzmEXeULitQquRdy9U/+jG2ii+EhNiz374fz6XHi/H0APwVPBUcFnwWv Baf9j8/+j9eC04LPgteC04IbgiOCH37t3BkhvqKBbOo2hVxMyyKPM/l9O92r uFFyGoP7ptSTfFTpx8kGubR4urLjaf684IzgjuCN4LzgvuC94Nrg3ODb4NHg 0+DS4Nrg3ODbAxW9HzEfb9IGy/PMxxvkPvNB7d8SLv78jA8no5qo6EDQ83GS X+j2tA3VBt0l3Nmoe/1+XWwmc63qXcxXL7ZndrWCdiE3NbPZmfmTR/cNfsL8 yVMj9R2+KBZxWtaj3jNf/V7VpAXLt6fT06DvPzz45zsnzqupTq6ZTn/UXsP8 urrzd22KXVPIKRm/3c18wkOzrnYp2WbTjM1/eh855nIxuyrn5OQ00+dQsbPs va/fxhZHFAjzuZkWZ4m9F9bEcsEl5tO+I+62s9A+l3MvVktn/uHtIQ/EmH/4 6AinXmuRUi7J45vL935NNFtLsVSp+jMNfnZp/Ua/ci52olbGGp9morgHlS0f k+hD93eJC0XF3NHpdwVq01pIwWSKKvON38ot7V24rpBTIfuIkspm6isyYgjz b3O3+jfu4a9fVS1A6lBpC2ldPafG/Oeda4K+tzvkcuJzM/KZb1mw791J5lsO jZJM+3A4l1N5n/2M+cZ1HRrvMd/4rL86L2xyc7h3x+66Md/4I/Pka8w3vt5o /KAfpzO58KGawVZarfTp+5oyj+EPKLPxQGpf/vfOrjlbxfz/53vT7jH///SR BxasdcvkBr7e5cD8/ympb8aNnx9Fc/1fa+W5ZnLjnx86xfz/2gfdLJn/v8tM Yq4tf94hletfsPoC/1XaW1h9wfDf7zOc+OvvzUkwZT7/5Zcs1zGff8yp0E1e /O91Gp8jyuoFxto8CGPvw3xts3jzd/55vTUu6ZgQ0koSS1YX96RxtCdjc4E0 f16htaQ18/9XSqQMZv7/sesCZK3ss7lpG/sdZf7/1323v2H+/58HV27Ywf/e 6UVtozKHt1KMr+zSXX4cNXzc5375SC5XUmXdPMWohZ6MrD+ZtI2jFQnnik6u LuQ89i/oYHUuLq0ftVmdy/plObKF7pkc+Dt4PDg8dA7oHtA7oFtAx4B+AX0F egt0Fugr0Fugs0B/hR4LHRY6BHQJ6BHQcaHrQs+FngF9A7oG9BvoOdBxoK9A b4HOUrXd8wfTS/YbjZFk+olhxXdppptAd4EOA/0Fug50Hug7w7eufcJ0IHkF E3OmC53Wm7Oe6UGD/N6N6XkioKJbE8eHiWZR1NcNlzv5++m44JrjQwsB7by/ /kFDdyYJnr95GMLfnxGCfTs6X9XSgKKdK2rcMuh4pLWSxIY67lSosvSvdzUk /nDPJUWdDPK8vPbHlyX8ffifPwB+AfgENhVWWDF/wA9J6743ZF5S16toH+YT gA8AvgD4AaBPQ6+GTg0fAHwB8ANAd4cOD/0d/gb4HeBzgL8Bfgf4HH50fQmw OyigbI311lGP3tDNi28V/BQauGF/Kh8wPb4prCmZ6fO/Nl/ZxnT5wN4Qc6bH 93Hsp8z0eWt7tYdMl1c54Tw0Jk9IgXmPJZ7UJlJiiPHlp4k13KOWNXriPkJK 2vj+FMuR425rnXs3rJbbcT43aPp9IeW+SRObYZ9CofGGt04k1XB3LNaZZObW U52i3aj6Gak0ZKJknyFzBJxn/ozLxcfryWRyWN4Hxc+kv7jk6T4FASesKGt6 9VhI1KxWbSD8SNcnH625ca+GS7ilMKb3rZDCxtjcs+zJoCkbjZ1njqvhFr4o O9Z4Vkip57aPD638SMLNybb+KTXclYxffTfNFtKecm+t5qIMGvMw+vSbDzXc fqOAZ6FT66ijcdsds1sf6baMV8rlVXXczR3FzbWL6qg55HZ1eEAGHdS/4Lfh cy3nJnem0GJEPekkLNi33C+LGiX652jz/bp8sKzzrS7+vMXdU1mda7jechlN fn0lpblj1eAaIa3rmNLf1DWbtBX2Vcryv+ts8enFPleENNiWGzdFJpe8L87v bVUUcE4Bmc2XVtfSGeM90z8vzKJFKY6Jz7TruIfKx7vt8mrIQ/pl8UK5LBJT TohWf1XHGcx6JrfjQB3tVikss3uWSDYzz56dzR+/9vnUt3OFNRSolDrxVns2 /f35rsmR/7xrZu4Vv1c1VF2u99stNIcClo2q7OLbf0Dn0uJmewEl6Pcv9e/K ohireYOf8P3rj7WK+nOVOpq8/8nv73U59CK5/6Yh/P3cUD/2euuGOoq2FHv+ 2iiL/pa7HB67rJb76+B47+HXGgob8EFXLyqHbujO4/yk6zhpxcCuaFO+v0+8 6hQ3LYcMSo1VtvLtoc7k+cRLB+vI2f7cdK+2HLrSJPnTz6OGX8c+e+Ab1kCD XN9vi28sol/Px90X4+fT202dm1m95cjf1RNZ/WXC4TsTLbUKOXMuVHTapAay 3eNfw22roKraR99O8OPz3t/a0qyOPerh1p1lvhVksc1ws8GhXO5lT3l/Vofp dnY9sbpMlTmHVgivV3C67yNHsTpMWwW10awuc3D3W8lz/Poz6v7DTFZXn2ul 6sHq7F0jnpa84dd7t6cGPGb1/KcGPH7D6vu/m3/Rb+TXLVPD73gV6ArprbXm G6n8Sjo4ureye3QpZ3F+SJnF91oKvLD3x7dR1TRGIv5q+84yLn/g0HFOWbX0 K/bWGKt1VXRp7dpYA/68/498Tk71edprpdVCulzhIl+kVU0bj969d5S/Dyn7 LTYPvCEkqcFhx1g+x5yHRwLYusX1T4HO4DNC+nBifvu7nioKuj9U6Mzes/OH +1wnLSTvqLSx0iMq6Ez+tkd9+fN2rynWYvkF32505p3rqKJYzWR7d379+bTY YezIyBoKHeTzs02xnGrsH5e95tvzEzc5mauja2mKhH7tcfdKklItOa/K74O8 H46XDXKrpbtLH7e77yonTRX/6EFzqrnCsRFFQ/1q6fyl6u0PnlbQ9AeTM/z5 dW+U6iAf73/5ZrtEX/hVknleiqNtUCXn2fHqHqvr6GjYPDljWSn9neR36hD/ vI6tL7+lqCyk/rP1JqzNKKf9Svc/TOev/07BpXDnyjpqWcA9KPtZQkbDr+7W 5/cjdzfMTVw0RkjJp2TCAj+Uk2ror7TRjRWc5LRpCXtFa2hn3pfEbrFyOlKb O29ju4ALPhT0KlqrnmxaJEtHXSsiscDyzLG2ldwpmfulrP7E88XWuh0FxdS/ 3Hz9Tr49XK7rdzdYrI4kxc5dOnyynOqnZ8aO4dfb5cMU9VluQp9lY2RZjsLx NbFOffh1lP4elQ6Wj5AuJ32R5SXM3LZqwCB+3/HRf8Uslqew4vSd5Sxf4dH2 O0Fl/PP6+uo1ZyrSQL5elR3vplcRlRmLVtvlcsc3D45lOQ7HZSJKWK7DjRN7 zxC/nvEMuf+M5Sxc3m1cyXIXTAN+Nj/j18OvsuTfsZyLBOnHF1nuhW9kl/oC /no8RigPCIyrJ4UJOpUsJ6P/HtpC/Louqk9lAMtZWN++egvLXRj/zW81+3zz V9+DLM9FWe+1J8t3Ke5Ok43lP0+0bpvHclu8ttZrsByX0PmPoxby66LA8Qt+ 19UJybBfyiiW+/LdJMX1b1MGF/bL4iLLc8l49NiV5buYi7qVx57J5HJV+gpZ rkft5iINlvMRNmfc/hP8+lAmwv8SywepH1AjUm0toG7RozFNPSWc7kThmQXK /PohPFad5YvMq/TR+sKvn98vNrvGckBcDW8qRP8UUMFv+2sG/L5jd8adD7P5 dU70qJysa+7VNFNL+1Ah/z25U8Y7sJyR66NOB7NcE50jxW87+fv2LsDYxSyg hoyFcTYHDARk7THI9/rfMu5gQqc8y0OhURWfWT5KUk68sQl/nY/MgwNYforr g/pVLE+l9kz+bGV+/JEyXz6VfX93oWclyzUZI65VumV+IXfM/pcfq+8uyb08 ndV3Ox06bDMn9h2X2eFgy+rBPZua/tWDjzmdJtGaHMblWOdfYHXfq2RdNrC6 7ymajp1TP4RxA9TvqbC6723XZWayuu/9fgJp9h7AN00O91nd9w23P83CTV/o j9K02Y4x7zjVlq47A8bX0NB+217oyebT1tef7qfw88Xomxc2sXrwLuNWKVYP nu76WWnL23ecXvS2O6zOOq5g5786696ooa57P4ZxsV9a61nddEdSfSarm154 /7Xg9qt3XF6WQSqr0zvkvekqq9u7MTf9cngyP/4rtuwg5VoSydL/ZNlSSMqL FW19nWu4dPNz9trTamncwJOOmjMKabRJnLoEP18sX9rTcdq/lh6nHvJqNc2n qpk3H4fxn9vcsI7WulxHGdtTmpZfzqe5Z464GUQKOL27UucvDqmlY7ZJS2zW 5dO7L8+HLNtVy0mWtT1jdbjRc9ulWR3usOeabin88xrY/modq7d9MWzNC1Zv azN30vdCfh8x9fpyF1aX/cmx7imry/7wV/y2Nt+/gm6KzLg7r5VEnz5KZ/Xs G2+Pm63Et9uOJ7XhrF576+/G6axe+2XWhNeG3z9yG72XiMo9a6WJIvP+sPrx AZU3E9S/fuSybQxKWR39KN9rA3OOpdHsrgm6JW0fuZuKp3NY/ftx1cvXWP27 blb/Cwc2fOJWOizayerxXZZYpUX8/kJfFCR/nWj/yG0ab7SP1dFbZPexYXX0 z9YN6HLfl8nteJ1tFdVdR1dSo/723M+nPWuM16fz6xZdhdS78jL1ZPgnVYXV p/693RRQ/LCKS1/SaVruLaSyoVZroiyLyPfc0DtF/Dimsfl4qdm0euocuuym 2oICmpivpz+XH7cb5TycPKLqqNfPpfeQWhHZOSsEbn9Rza22HnB1TGAdeSf0 0ysVLaSJ09rv9/LnNRQtKBYW1pFOzqGtrE50W0qa8DX/PRkBGrPuL66no1JG B2Uq8mmCcPWxpYyHyH6qmFVRR5EtCRqbqkqo9dgtueX858VStRn9ptWQQnrk rX7bS+hzy4w74nx7sA0THP9dLKBD8scaB+mU0MzVux584telM8ZPk6+qFdD8 zktW8iNKydczvn8hv46935kq88mgltZtbJ4z504JadpEbuLsBVx72YvprG5T bXOvPqvjTFx895wIv15d+7i9b4hXLf19PH+lTUgJPRmfvOkE/7sk06cs+bur lr7PbBhXu6KUqu62XjvHfw7uAA4B/oD3LOK9i3jfIngE+AS4RP3wHA2W99da qfOIvb/RwGbjAPbexm+fVEwbOrJoSNaeFFZH/qDqV0spP57v17G/xfjFHBm7 cYxnpMcMHV3IrwdCe23vufPtvrnA5DrrBxmtjiNS/o1X/2f/Dx4ADgBeAH4A biB4eGMoyyVUOjSumL0X1HNGhzZ7H6hBYqg34w5f92v/4xCpyQ0pjD+gn6Df oL80Bm43W8/3qyXZxy6yfvZCx99ciz/v/oZY2bIdX8jwddtExoHWjl+fz/gP 2jfaO9o5+gn6DfoL+iH6Jfoj+iH6Jfrj8WaVcpZncUH9aTnrl4feim5k/dF4 4MJU1t+GVE/czvpf0NHUKS58v8N4h/EP4x7GcYzrGM8xvmC8wTgDjgCuAJ4A ngu+C64LrgTOBL4ELgxODD48cP6a4+rb06nGtaa2Ir6ZXKOeul7m29t/HO1/ XA08DZwO3A68blBD4XnG6aRlrf5xuxIj+ybG68BDwUfBRf8oRAcxzlLtn3eY cZe/YUU7GW9JWxh36UEkR0uGLK9lnObZFeVj++2zuawVBXmi6RwFDNymw3Id 6k4seSrB3x/wMvAzcDNwN3A48DdwNHA18DRwNHA18DRwNHA18DTMQ5iXMB9h XMM4h/EN8xnmN8xrmJ8wX2GewnyG+Q3zGsYdjEMYf7Bfwv4J+ybsJ7G/xL4S 4z7mAYz/GK8xfmPc/hwtVGLz5Untt2fY/LlX5fNoNm/O+tCotYZfH0TXCGt6 xtXQpXjzV9n8OgHzOuZ5zO94Ly/e04v384Kng6+Dq4NTg1uDV2M+wPyAeQH7 N+znsI/D/IT5CvMU1vFY12M9j3kO8x7mO8yLmCcxP2Kfj30/9vtYD2F9hHUR 1m1Yx2H9hnUY1mVYj7WEvxvC1m2rzZctZuu4s3VTNrP1m/SiF4vZOuyV9lHd fzk97tcV2Xps0zytNC1+v625+IkJ23/f3HK85za/747qf9hiFb/Pj0zTP3eb 3/cvlXRKGqBbx2E/j/099vVu1z212Tqy2nvgvzyh7aUXz7P1JPgLeAw4DPgL eAw4DPgLeAw4DPgLeAw4DHQp6FTQp8CJwI3Ai8CJwI3Ai8CbwJ/AncCnwKvA qaZYTxvKeFbCo0AJxrcejDzoxrjWrOcGmxkPOhc9/gXjQwfXj/zEuBB4EPgQ uJDRccMVhu3Z5Fhxt3a1kL//dpXl9ny/AO/4j3/8j3uAm4CjgJ+A+4ADgf9A x4KuBT0Luh10POh34FPgVeBU0IegF0EnAg8FHwUXBT8FTwVHBW8FfwV3BT8F TwVHBbcCxwK/ArcCxwK/AocClwKPgk4A3QB6gZrNpedJQx+QaFjIfqbjWaTN dWb76I26byJDhMGk6103j+l+c02Vv9rw893EUU3x3sJICr4zag/TGbLa3m9m +oJK3A9XpiusPLFKjOkM0r/d/+kLBefL85j+YVV+5z7TQ2b80ChiOkj1VZnh TM/QNd92mukbtaHP/ukaUscdDxwZvlV97dkQTn95K92yuvtqQHkuV2Oi3H1d bav6jKGdDSw/4zh5JMbx17Mk/qxqW4xr/O3r+VtYntON6VI6c/jv7/N//nfq 0XufB3caW0lhuoL4QX5/PaTGzGDj/Ad0JbC2h+kwD94WrlzDf965fUsLy126 bJD7T4dZLtP5T38RXxg784AfR8aSw9pZvlHn441jmK4xe5hPF8szOvs3qL+s UQuNCLuyl+ka0FOhr0JXhT4NvRo6NXRu6N7Qu8E9wUHBP6FnQ9+Grg19F3ov dF68Px7vk8d75MHLwM/Azf4f+ZkcuBs4HPgbOB24HXgdeB/4H7gfeB/4H7gf +Bp4GzgbeBz4HLgc+B14Hjge3quN92zj/dp4bzfe4433d4PTgduB14HrgfOB 74EfgSeBI4FDgUuBR4EfgSeBI4EfgSeBI4FzgXuBd4EfgSeBI4E3gT+BO4F/ gYeBg+E93HgvN97HvWa39RaWC13z/rYWy4Ue6qY/4uLrTA78FzwYHBi8DPwM 3AwcGVwZPHlQvNMQlic8QVOhP8sTVjj9QseBPz7ulJ0my2f+9vNoG8tnPmOU 9zSI/1y6YmsQy3Vcs0/7CMt1lLHXG7yH3y+Ijvpzi+U61tw0v8hyHb+K2mVs +PGRO3bwVj+Wo3i3pVOT5SguNrk8qD+/HuhvlrKQ5SgazT/Uk2PbQolyq+az 9UDB13HXWA6kxbXtpiwHcv+t1X1G8usBrUfTrFgOpMa8AX9ZDuTOghsdL6Lf caZTJUpYnnbr044clqf9a9cz/UP8c6lc2inOcrAdzfY19A/m+2/1/If+/Lj6 RevV/f+PrvOO5+oP/35oT4UySjLKqERDiHdRKrKSrLQ0RCKlJJGKNDSMlFBW Kir7S8Zl7733/Awfs4Go6D7nd9/X/bj/uf/y6Didz/m8z3lf7+v9er5cF11P 23DS1I+up32I+/ohYSqe6DjAcrqe9v2DMhl0PW3xuLUWCtT3nfAAF7ruZbjc Lgu67qWihPYer+/FYPpgqxVd91LyXVQiXffSPunsSPq7SsB+9tjfHvvaYz97 7G+Pfe2xDz32pcd+9P5H8zvpupGJM3CTrhtpfNNVPpr6XNQTUV9EXRH1R9Qj UYdEvRL1S9QtUd9EvRN1zqNjN8ZOajLIc42EnXTd7BmFkzzvqP0j6n2o/6Hu h/og6oWoE6K+iXon6pz4d7/4d8D4978LptMa6DreX/2Fi+g63t6FAbNFqX3l 2yalWLo++cEvwol0ffIk33cnWVSeifom6p2oc6Ieivoo6qKob6LeiTon6q2o v6Luijop6qaol6IOi7os6rGoe6IOivon6vWo36Nuj3o96veo2yMPQD6AXAB5 APIB5AKo76Pejzo/8gzkG8g1UG9C/Ql1J9T9kQOg/o/cCDkS8iPkHMg9kHcg 50DugbwD+QHyBOQIyFeQtyBnQb6CvAU5C+pZqG+hroV6GepnqJuhLoY6Gepj qKOhroZ6GupfqIehDob6F+phqIOh3of6H+p+6/gFju1IaCL5g36zznEGSVKb nORF6v0X9TueS9d1H80IyqPruuvy7Lj1j4pXm+eyuOn6+cKKWr50/fyyFye7 hQNroH70JqHr5/cUbWuWNxgkPJevhu9yqocdqx6+o+u6T1m7vaLrup/90tHQ 79QIsou6D/31bCL31riJrZQbJCu7nZs2U+tvZG7iGF0//w9pekLXz//z/qLk Qyr+u7BCrtxd1EI0Oq49Gu/nEOe6jjA76v1/GrpKlq7Hrmw9Vi37h0Per6jy f9DSCkorf2bqGDYRA1k1wSj9AVJ6Z+6oHpUnTB9fL0tlLcSmPiGJrht/PLRJ mIuaL8pfSr/T/QKuh0zW0v0CzDuC1qyi4ur25guqdH+BZLssEbq/gGblkn2r vjTC8L66V3T9/47Lr5vp+v8d/GHnT1F57O2WKY/9W5uIzPzY+apFHDIoafHz NTV/kaciX0Wuanp2bitdr97wymIjul69Y+SC9nWjLZA/E6S+N72eFEcHyhc1 DZDw8iuHFWe1A/JX5LHIYdeRg0nPm5tg0K6q4L3XEPz1dNtG19uPUHzYPH97 AwTfXckvvnAYtlwdiKP7mNgfMipTTGgCoUcH/zvLGYRBrp6Gy1fqScZJtikf bwMc3V1YY2A/BLH706bp/iY1dWoXu0kjnOJKahFzGIQtRmnv5tB15k/ZCFPP Fw61vUugni8cG8wapuv29455dPzzbAIrYrR4ldwgXIus2btBp5kcTN2lXs6u B5cNQ60XEgeBj89+wVbqOr+UXKRMB5shRW4skXrfYFWGFOevYz1ZeXiWhaox 9Tw/HEyk3iv4Iy4Tr+JUT9LvKK6ZFGuFau2oz9R7ArpBn/wfaTUTqxIu0+yr rXCtJcaFej/hbbXDVbq/Q+iAStLB+nr42XSrlhpn+LW/+SDdF8B2RphH27AJ Nt9/vzFSfwBaer81GP1tIzbvDP4opdfD+4MTEvlNA/D1nhb//lntRC9QgM92 VSdYBew5Sa3jMO+o8hG6L8YnNZ6VV4q7ICaoU57Kf2Cw8q2d99dqUqL3MKfz ZRc8G3z6msp/4KzJyWC6rvt1M82NbM8GUI0Z1Q+N4UDSwyDdSt8uInBXu91g axMs+JhxiXp/YG/WHVO/mQ4i4/B3hsrDQcNhjmZZFweCf2+N4nneRZzurFr1 dFELjK5cN0bNCwAX/aRT023kV4Fk76Y/LfD1fQhb5g8HZLY8e+3V0kqketLq FCNaQWfTPS4q/wGT/FNr6LrW61KPvc6YagJVL/NIKl8CXh9hD+uxYnJT2+TX X7dWmEXUf1D5FcRNZX2h+1/YOpkeeHKvEZoUp69T+QYcnmVyna6zbS42/njn rgZI2tDgTeUbsOzDeEryu0rSdfcXh8qvwFh/Hh+VX4GzbYMjXadajd/Fisqj oFvlzS0qj4JrD2wF6Hra9zw/ZAz7NoNkgFIIlYfD7o75EXR9bP0XCqNuK5sh +tQDgXqHYfiiY55C17XeKui/jcpPoNF+3QsqP4HyvPsHAwviiOJyTgeVj8FS 5mQ3lY+BWbDAHrout01qaabYn1aI2jUdTs130FgYykf3B/F/ciODyrug5zL3 ZSrvgvCLQrNE7lST+IkVGscm2sFwluXGeZEDcC+K6UP3K7EIjoBzzW3wQo5/ mIoDcPWQiTxd37VJacMX2aZ24B4XiqfiBlwOPvpw5ZdGwljzMFuxrAsSfi3m 8743AHkh2il0P5RPkG8XVtAJATsv71LmZ8OCxw+Bd6CLRI8Nqw6OtwGRV3W5 1c0Cd77lgzrOPeRl4fNbeys6Qfgycd+yhQ0HmZ5lYtT7MH/+dt0MtXaY/YO7 rO0PG86xYkduBHQR5aTPwzZNreD8I0K473Q/XIxblGFBvW8bFx9UONrTBvNG VzlLdLHg4kepY/vpfmr3QqX5/FqAOTvy2n86/ZByOvs1v0M34T459064TQtc n1NX0uTLBtadkkOcuz3EOGe72daYFthefC/8cmI/xNu4V3hS93Psb9z70Jgu COF+o7AoiAmzzoiujqKu/8xpT+vJjC4QyG92ERVlwIGFh1U95fqIyJzgymcn OmGFFY/zh7tMkB4f+TyzqZec9zqdsNq6GzZdWj9mqsCA+Y6nw+h+9AenRNWc PLvBfrboz0d8TLj+/FC45r0eUia712p8Uyfcjj8TuCCJAQKnK2uyN/YR/3kH JPJv1kOm84md74M48ODgrIpm1W7ypyq0cd6cTpjZ+ffGUR4G/Lx9+NixsT5S xf0o5PuedghNSjk05yQTVrV18t+k7vPKykGOt2oL+IwOrHqazAKx6tcdul96 ybA6V/iLsTYodsizYDVTz0tfcxSo7yvI0uC7/KENSg6o8sQ+Z4JW3hXtG9R1 NJMXFPxc3wLz2/s9Cg1Y8FNOR2dmUx+R0VsyedG9E4LLpNZFzWaBSs+/ylXU OG8Q7DiRO9ACs0y3DlHrCCzYu5z1j6udFGZd0jgr0gSB925ljxpyIMx1zdde 6rl/T+ldqFbcC9xx8vx/HzCoddSw9Th1nPmUL1iiqQey5EwiXlgx4PPrx0df zOshvPMuCT+Y7IFmnwmlyd1M2Bb2hv+2fxexuMopyDTvAteFc4fERTlgO7x0 G12HuaT8oaZxdjsYzfrywYiKb1tP8tjR9dhlf78xWMXbBW1RRxkDQmwYOuLl 8OtZF5nqljpH5V3QXXLQ60UKE2pu1Y/aRHSTbO7KVw+/dMO6Pm7re/upcejT 8sui3k/ZeQUfLxzsgZynu/67VsOE5pd7g05R75W1pYG5nEMPnCv3vv3mCAO2 NZ6IO0+N86JRhRBq3wE84y8/UPsOcH1WEv/fvWoyaPVDkwz2wombXtt2JbAh LDYjke5Xksv/WIPa/4LYBMOD2v+Cr82EKrX/JY2srPef7HrhvF9VO7W/hqjk 1QM7qDg/JCF4k9qPgGDY52JqPwKVi4veplDnCz21WLzUiQGzeervUfsOqC7e d38TFedvXVrxhNrXwNK1ArOofQ2Yam+7SvfTiT/fpCkFfbDc3pqH2o9A29RS bbqfi3yLkCsx7QXD04++LXjBho+7lt2m65ZPf04/ckqTAd31onzUfgdshnpP 0X2CVHt0igUG+6BKNFiXzWLDLcskHbqPj3KJWuC8rUyw+vmiYSd1n5fH4t/R dd1Nxu32aegx4XLK7ldbF7PhOe/RIrrP3cynTQu+Uuf/Tdafs+k2C8b37+Kh +9m1NIY96/btA7XBVqb/DhZsncu76x+1XrtqG/z0fdUHqnC6htpHgM9zH0uT rc1EIqTsMLXvgLMBe75u38ICzRnzt6UHm0mGb7Nbm04vXOEf9NqixYYpsz8+ dtR7csn8SecdXia0SzSG3qpiwtObCs/XU+N20fqzlSKbAVrl789oTjJgx04X rlfU+5b+LP/Ii9Q+OH/u0oEH38JB81hI1YGNHGJ7wfKeFTWeV+3OSJiICoPe /Z8JfJs55MjfBMln1HuvW2cQE2EYAa4C0hXv7/QTo1fG7z7cZ4C8n5roHUEr dZODhfFtj/qJ1Ij2GKuACTeNmdrL9SKBP2SBhp8NmzzmLByqP9lHUpanqe17 3kuObeUfeGzXQ7p5t/02ftsH5/RU6u+eT4TlcaWqjtIcsj7o/Y5eBvUcf90V 8kpOBNHlX+2uJXPIN8/5Xv6nmfBqZ/Xr3VciYB7/Krd1hWyy0arbXtqW+txD sqnHo2uznq2O9rSkjqs2DH98OsWEr+axCwMfREC+yfPpIhU20d2YBoO/qOfb 96ttZ8dp9cczk5ce7mWT1e8sz932oeJpi1pdw+FEKEn6leho3U/q7l3jquVi gmWZ0JIIiX64rvU0mO6rZeQfk0LtWyFyUwW9b4W42M2dvYVxxFE87fYcJybA 3MB/1zLZcDPg1WQwdb6K1rj2YwcmlIl76eZ9YIPsaWOuJur81jQ7LaNPDDjL fdSO2hfD9bd+p+j+Vp4aJ6XPWDGB0fXjYOwlNvRHi07R/RZjeH/yNrzpAfBQ 7kjm/pZZbDxG18siKZpiXJFxjWTL7WoDtiiDNMaW5FtJschlN68auVtMwr+j +HT1DQbhdjA82MtpInn2+60XdHXBxJB2dqDbAKzJjfzGT62nq6bFip+15oDR 0rbEpJejpOHqPP7fMolkWt9nzfCKXhj7ajpl84MJl7gHJaePd5CSXbXWV6ua QTyUOeec+zDULebNo/t0BFxZ9vuaeDOECh/zVYgYhmir9+bS1HFnfR71e2ua wd01ym7r82HI2v2uhO77cPrdbYZQYzfEtMg11euzITX5nwwPP7Wvu5ixNXe6 ByLP6HksvscGHy3rx1ep97ms4u3ijZ3dECYOXoqGbKhzKdm2jMo/Z1rCp7+J 94IvK2XnuAkLPPROLBmmjqsqWc0sP9MAMo6f/x7tHIaNvxPO0P041GbCb6Tr NUCg1Dd3pucwME6lKdP9OwZ+hX62qmmFomKzWauXDoPZ6i98dD+RnDDPUunL DdCXyVFr4xuBd8vczeh+HBcnTeX9nBrAmG9muEBqBDw8b+XQfT1643nqn3r2 wpRUDkd2LguU96SmMqk8MzvSwvuicR9odIeLnXpDrct95lp0n6aVy7Y69lzq gwMhyR1nlJlwaF2OxSh1/qfkos7E8T5wm7aUfv+VAS/zQk5bzrSRpxKPb5j0 MQB/Rje35Di8bibrlX+25e7sgUVc+r0Gnzjg6lHxnu6XZBe05L+w1T2wNkdu /PV8DojzO47/vVxPnNeGGCRLdAOX0C7Bj7X9oBsVEd1CjbPfosOh8iI9EOsV +8psFgfcT5zto/siGQm3zbv+txtWnjUoYpB+SOVv+0T3RepX+LwwV6oH0swe /j7NzYG6o7N1O6jr76n+suLX9x4wHC/YMLCRAxGart57qPi/8PY19V9LPoLE nKVG2vtH4AlDxt2ViucC57n5E5dEwdMAjbJSzREY2Ct+kv5cvqfLlN+vSIYD rLiXyttGQHKVzqoR53rytpGl4MlOAplZvMPz3ai8V++ToT+VT/JqfJD/wY4E Bo/C0mX+w3C/qGHgLHWfe7q3z365LAqy8y6I2emMALWtiKH7TXitfaCtvDUK Fi5u/mjRNwJRHhlydJ+In++SVQcFkql17r25n/4InFa8v8uxvo4oe6Vt4N2a DKI7RESfVYxAnunEe7p/xNznL1LnMKuhfsl+gcM2HFANeyJlROUhpXJPScb5 SvirLVVtc5QDXxtGv4Zy9RK9U41Ff90qoeBYmd9+6nm9b1/+ne7bEjaS8XxJ fhl4jfjz2Y4NQGOh5fAZvy4ycvdj/Is3JZD1QSHlEXsANvHPqqL7Lqn/SR1r rKqEiAM296czB8BqoKTtc2AXuS4y1WZpUwLJdp3skNlUvt35ul+Jup93n7PO msWUgIPkeqG/AoMQFGLTOo/KHx58vyUwVFMDE59SBBc5ceDovTm76T5K35a9 i1OcrAHlzEHvTaYDkNKd6C9P3c/usOR/pLcSyiRzLo3NGYSV1zkn6T4F7mcM FzzklMDJTnH35wuGIDvcnqefem8nVg5fHE7Ph2s3hR20dYfgQoiK50W670zU uRMD3vlQXxng/NNiEGISBAU2UnmLjYqroCN/KTjxtm0RjhuCYU29S3R/B6Zu tOpocT7Y5m05ccB/CCYUQ87R/SAOdSW47z5WDtypx5d1Zw3B9otuGx5Tz91M 5+2KVMcqWKDc87m2bggOH/6UQvcBNP3ZYdBrWQWK59kvxx8NwSZF19d0P5TD 8Z16S1ZVgeC8O9JuyYOQHO/w5wQVT8zq5797nQQwUd2Zc/n0CIhf9b1C9+kg WREZP8oA7tZ1HFvzYQTOsNhadF+PS+5Pl5gGAaypFgirWjYC0y8Ydc+u1RPC SWxOMAfg8zBuFzMbBrHlm2286P34Wr/11VP5YLPT32678wiUpKk60v0+XqUL smx5CyBEqJF1pX0YDhk9iR6n5kvodELYpv58GE83VdglOQwtQztWbqXyB4MC P9HsbQWQ7RizdInTCGTVP6+n+9rsGLlx7cR0BdiHvOYsymID3yan40LCDLLq fnPVTXYx9EmGzk56z4aYXJmKoLcM0jGXKzCtpQJkY6Z5jeXY4Hzpa15WAYMw yt+4TXcXw1nbF1HTXmwYczVLu0NFBLK1NUTFsQhC98TabAxjA5Pf1P5qPoOY DDVrL9lQAr8nTmvW1vfDpvexHnPpPsiLBG4biubDxB/J7ktrOWB++7zhIJXn n/py1D+WmQel3cprvzawwfr4rp7oPAYZb1Qr+P2mAgYFK+dOK7HAe6Ne95ZK JklVlCh1f1UMryx8DmZLsOAmm3nkxj4W0W64dihRrQTs5W0tE9U4wNU25alO 7YMEvuTPfNxUCQkuk+5NN/tBU1Z/ux2137mafM7q7rp8MKna+mONLAe89xLd T2v6yOqcwKybdysgJ+LPyeE0Jhi7td+W1WORgZzKFeIvi8EmPi2VZzW1rykS f0P3r59oSrvxdKwWugsuFZ+h8rIu6XOiOodYRN5qn6WTdA3sO5LN9G5ggP6K y/10H7dn3vzBt5VqYO2JOx55Wkwg58vVjlLnu/1hGtRbFMPO5m6RpnXUuub+ cedrHRYx8E8d6WjNg+NhyruW+LNhtcLX3uylTKIpdVBUOzYPtDpXzrexZcHx t4qFYtR1xrUndYKM8yHJ+ee2Ru0BeKlyYOEDat8nfjdY69SdWkjVubuHl8GG iYfnm1dT4xDsaLrdQqEeLvyrLQv9zYYDAU571ahxSy+de3K7cT24eqX1cBf1 Q3FVPMOZiifqN1dZPi+rgX9Zy6Z49nAgdvbi4zOePcTL/mPdkaAaSIvnd7bn 7YdzRXp8e6jn+2VNTcVHu3xYVnMyrrlqAEZXeEWaJlH7ZbuajkrJOuh9sjQj 8TQLkj6H7qL7o7FDU9q/mdWAsbLkGfrvQDiaCtPTu5hkabH7VffkOmiIW9ca /40BPQtCX3kKsYhQ7UfOcnYd8LTV/ftvOwveOK9z/V3IIMdFY/UcPtXBlYOa qyPTGJB6aMZ4gnqOqSHeSoJr6yE/MFPwyRM2qHp5tUxS+0rt7wtOPB6tg6JD fRkv7FiQ+zj97jNvBtFc4rrkG08zLGFpLlsTzgLuSQ2bUep75cw4FRxY3wxV e59s0JFkQtWR1/orqftfzBXKa+LTCNafVNrNfFjAF6zwVz2pj+ydaCv3Hm6G SGeF+RpbmLBEzcfnsSuDFOo+7B883QhLMxW2PA1lwsfDaqF0H417leVpL7ub YWH5r0KrQQb8MDxrmU59r99d7/j9DjbCr/CbB58uZsItC37uLSeo9+H6i+Nz whshLfXxguS/LGi1UPQvpe5T0NJ9qbN4I6z15LEeFmbAMQP7Ww3Ue/LnXcr5 N0saYcjjz93tQX0Q2y121DKPRSocVon9vl0HX5IyCgw9+uCGXdl6TVs2ma79 bsAX2QSJ1zoP34ntA7sG17IT1HV2NE6ed3vfDJX3xSV+pvWBR0jaPKspJpHb ONt6X3AbDHrevV9uzISsl4qOSY59JF//guBa3TbYn73wy1hrHwjPYWYVUu9z iumnzFnH2qAwS3fXAkkGNK393jOXGgeeN9Zdu3jbYcPujRfKmX1gvn/1ZyYV H+aqcA3IdjXCPpsB4zc7+yHQ+8puVWo9tf+nem9TayMUyK3W2rS2H/qLmhiN 73rI65XHG3W3NcG3yBdDZyX7oXWD4yVp6vyELLO6LQ61ML30nI9Q7xDofTHS ovvy6FqK3n+nXQvWHTIb2dJDoB8T9iuFyjc8IsWBQ62P17/+W80cHwIjl6P/ tVL736CGkNdKV2qh5Nf9H1tnhkDRSL+B7ic1y+uby+fHtSB/cMe5DVTecut5 8R66X5L3xpZBnbIquPi7Sbm9exjUH6ZP0X21Ory+33F9WQVb97yVvaRFrRdv OZPlVPw/nFwnJPG2Hnj3rr95T2oYfNzPh9J9lL5t0NrmZVwK745YuQ+9HIa3 Ag476X5A3FPz2o6tK4VVQ0HMtu4hkPrPz+cMdf9uj9LX598uhfVV09IhitS6 83ZxNt3v7MORNYmkthT+c4+uFNceBccLEgN0PzJXBk9bk1MBhMa9nF74eBQW 1n0yrd9wUX1DXYB0ZnkpcGYGntjuHAVGXosZ3Q/uxoyV96XLBaAUoZRq7jIK FSVa43S/s/nvhMRYRlXQr/SxwTlrBEZWXHtI93fzMj4CVS5lEKeo+0PxLZUH yvmRjtFi8iPt6afzGaVgGGzo5ckzCnlzRoo2UvumM069vXlhpWC7iStgQ+wI RC/0K1Wn9unXV7mKGZ0pgNPmhX8f7huFy5xo7hAq/5co83v1e2U17HN495sx OQJz3314RvdTGzH2l/rEVw0fZoX6SrJH4KLmgyZxap/iPhyS829pNVyPua5z oWgE/OXl02kd9e79GwPNi6uhvOrH0TvxIzA1e64b3YeuUPCf76HgUqiOduyW ChoBKduIYFu9UhKSzVc1f2sBjF/is7G4MQJDVlpA6wzJxyZdZ/QKoOXapegj IyMgfXqhMN03TcnkdlXCryoYZO18P242AoIRqQZ0Pzuczzi/cV5j/MJ4hnEM 4w7GIYw/GNcwzmF8Qx0NdTXU01CnQ90O9TrU6VC3Q70OdUnUKVGfRH0Q9ULU CVHPRX0XdV3Uc1HfRV0XdVXUWVFfRZ0RdUfUG3H+YzzAOIDzH+MBxgGM7xjv Mc7juojrJK6PGNcwzmF8Q10VdVbUVzGuYZzD+Ia6KuqsqK9ivMP4h3EP9VDU R1EXxXUF1xlcX1C/Rj0bdWzUo1GfRl0adW3UuVHfRn0c9XLUyVFPR30ddXXU 31GPRx0e9WjUp1GXRt0TdVDUP1EfR70cdXLUx1EvR50cdXDUxVEPR/0X9WDU gXH9wPUE1xHMezAPwvwH9XHUy1EnR16F/Aq5FcZHjJcYJzGuYZzD+IZxE+Mo xk+MaxjnML5hHMS4iPEQ4yzGXYy3ytX9P+k4O/Qw7ykdd5+YnD1Cx1uMaxjn ML7tPR+jR8fB7RuvRtBx0W1RwwgdDzGeYnzFuCrNIxFEx1Ox66kdsVR81Xw3 /JnWf3BdwXUG1xdcV3CdwfVFY3/HJzoOboye50bHRe5CbR06HuK6hesYrl+4 /8H9EO6DMC5jnMb4jHEZ4zTGZx/hwAv0evw0Z+DTQWp9vh53JolelzFeY/zG uI15G+ZxmL+tlr2sSudnHnxRknS+tkoqcxGdp3EP562h80XO+7WVdP74cf9S EzpvxHwI8yPMizD/w3wQ80DMtzD/wrxLI073yl8qzzNnKqUdpPK+DKHrF+uo PC2Bmdf7gsqDexTcDc9ReTEJ5Kubrc8ipsttD3+m8unbe49rnaby68VxZ648 pfJqzAsxT8T8EPNCzBMxP8S8EPNEzA8xL8c8HfNz5AfIE5AjoN6E+hPqTqj7 IwdA/R91K9SxUL9CfQr1KtSpUGdE3RH1RuQQyCWQRyCHQC6BPAI5B3IP5B3I OZB7IO9A3Q11ONTfUL9DPQ91PNTvUM9DHQ95OfJz5ObI15G3I2dH/Rf1YNSB kesg50G+g/od6nmo4yHfQt6FnAu5CHIS5CPILZBjIL9A/oE8BDkI8hLkJ8hN kK8gb0HOgvwDeQhyEOQoyFWQpyDfQt6FnAt5GPIx5GKo46Ouj3o+6vWo36Nu j5wAuQHyAtT9kQOg/o+cCbkT8ibkUsipkE8hx0KuhTwLuRdyMORf6C9Bvwn6 TNDPgf4O9HWgnwP9HejrQF8I+kTQH4J+F/S/oO8FuQhyEuQjyFeQtyBnQd8G +jjQv4E+D/R9oN8DuSlyVOSnyFmRuyJvRZ8B+g7Qb4C+BPQpoD8B+THyZOTI 6CNBXwn6SdBHgr4S9JMgf0UeixwW+THyZOTIyJuRPyN3Rr6LvBc5L3Jr5NjI r5ETIzdGXoy8AfkDcgfkE8grkFMgh0AugTwC+RDyIuREyD+QhyAHQU6D3AZ5 DfqE0DeEfiHkPch/kPsgN0KOhPzo9/zuJbReaTda3k7rl636o9m0brlJWPgD rVdG75xcS+uXiSuvZtC6JeqJqC+irnh+1yx1Wk88JTjUQOuLvnufn6B1RdTX UG9DnQ31ONTnUJdDPRT1UdRFUddDnQ/1PdRhUZdFPRb1U9RTUUdF/RT1VNRR UT9FPRV1VNR/UQ9GHVhoa28NrVde+3vXxn+sFsIWZM3Xpr5X867t6bS++dEi v3Tdy2KobIkIo3VO1ENRH0VdFPU71PNQx0N9E/VO1DlR10OdD/W9t4p+lw8G csDQYsRFTDQSxsIHuDOp7/VH9e25dW84ML9oned/yqfVD7qySQ113Nzy6UmF DwMQants106DSPANifzQTO3vmkd8mIXvBiB+yZkyuk+F4WS1rHRKD0G9EvVL 1C1Rr0T9EnVL1ElRN0W9FHkJ8hPkJhvXO7uvzRmA2mRN1u0j1P3nFandoOb7 aZOC0OziAfhxp684gMta/dNdwZhg6vjOQ5ZVhLr/B+7T9TLGSTDsN0eK3l/k lnxOTnDnQNQu9dniokmw+fnF4tvU/fCP6R5//mUA9OceqG3ckQAWYpGtctT5 E1xtIs/iBuDc92y3Qeo6az34DOk+yKh3o/6NujdyKeRUyKdQN0cdHfVz1MdR L0edHLkXcjDkXxa3B+eu72SAcmpnX6ZjHkTNffnILZ9N9r1zUOddzQQlt3id TxsygVOQtCiogE0YMT6H579lgM7a4X3yF/KofWSl7/hvNtmwU6FEJ4ABvhts NQOWZEJHhk6flGo/SUq1Mxc+wARDsXKxXZcTQW7tj/5FhWwyu2NWyFcq/lwp 0A1pt8yEsCFXzexBFlGXZ6W4zTAhUeb6N9cnidS+89BDozVsYjZ7ZpvjYyp+ aj7YZKhXDBVrOz0kqPt0mLiav3N/H6SvOsdYJloM6zxEz2fW9JPm51oT73f3 gaDmw2XXtfIg0CYoXEqYQ74pdV3y+sAA54kTflvCC2HDis5eM+p7/VhUU/ps BQuMPkUJa4fmgQFzwK01kkWu+3OvD5PigNqZWcz37/Lg381lVj503+f8Gzbm F/rgo/CylBNNGSD25plM/2YO2XA33UFpcx8U2m7nP2WdAc/2GoXMPs4hauVc wgFKVD4UMxh5Y1EubOBZdCdRnkMuXh5NWhXTBwI2K0Uuz64B8xXik9l51Pj/ Hw6BXAJ5hPuwl+ZRxz5YfUvy3tBUDRRdCZjSou5/Mt7VN209A/T1N6jnyFWA 1KmKlg/UdVYXBYYyshmwNGDSzP1QBeQ+MDk0rMIm/v/lW+hT98/J/6xV+Kca ss7Nypf4wybRbqeOescxQCQr9PS0STFY7L6cIhbJJpv+3NKPNekDfq8/Net4 KmAosvvWcYd+ghwRuSLyROSIyBWRJyIvRH6I3BB5IfJD5IbITZGjIj9Fromc E/kmclnktMhnkaciX0WuilwTOSfyTd5wZjnNHe/e2Pyhx7IKwr5qdGw81Ez8 5n51oznlmkezltPc8uiNyA/0vuakHXcizTVX5e44q36sHBh8PZkPqPwqT9t7 Pc0pHfuT1tDc8teKQd6T1PqIvBD5IXLD6Xl8W2leaKnicpXmh9Fe0atobqhx JdWN5pSxj7oDjYMAUipetz6/Vk/cpIzzaE4p7f98ZYo5gOGdVW9pXqkgXh5I 83i5747+NJ/fMj9uJc3lp7UNBmkeX9nxbIDm87lfdxnQXN5+OXcazU3P3peW CU8COGnf/fuCYy0padA3o/n6hxtl+TRv58+PUqU5u2nQsSs0Tz0ScVV1uAxA s+7iQZqrjry/rkvzUa7D7/bXTeWDwPvGkzQnHSk+sJrm8dnqRh00ny8+8jea 5vIiM6fHaN089uy1B+4vq+Dx8ZfaRdQ4eL5TvEXr42EqlidpvdzAfWgHrZOj Po56OerkN3KlrWi93l+/+ymt3/ct5NtN6/a+TK9RWt93Mk2Oo/X+JoM9dbTO j7o86vSoz7sc3N/JGB8CgW7pS+zJGpibUy3RSeU56CNHXzn6ydH/jX5w9IEj n0BegZxibomaDM0nirc6BdO84k706nGaU6CvHX3u6G/X9WbZH30+CHvNtkf4 VmRB9lSEmxX13iKfQ16HnG76lq+7GzVfal23n776NAu8LR1m75LuIcgXkTci Z1z9XPlyym0q3/7TGWbskQWLjlrP/0ats2XCnhPC/w1CtEz7Fr8HSTDyXWM0 hppH6IdAfwT6ItDHgL4G9DOgHwL9EeiLeOK3u/5NxSBM7xaeX/ogEr7fXgBv qbzaf/lN09UNg2CtNzJy6j8T9QeTUDVBHTcu/ai9xpQD8aq5za0bs6BIumyN MhWH175u/x+/yKXY7YcCl0XB5fwb/+MbidubaZZyeARmBH52jfx3J+uiXq/q Zuo5jt3ZN037VwpmKSvQfhbF7StUltA+ltyFJYd3j8BU4zF5+u9uAzYr353X WU9kv445LvWn5tduN/4ediS0WQgJX6CeL/pj0C+DPpnTP3XCaZ+Kr4FaINka BU4WR3Vov8qqt+7mwQMj//fvcafeXVGxp46jbwN9HOjfMLzo+vHE62Gw4eZR faFqoj59RHIqg/pcoRM6UR88KsEmtWNroGsZ7L5tqDRbf4Ss+lVx3kaoGvAn l17YX8H+YXLpy+TTXs8y4HxzFluztBquXeU4jm4dIfhv/D0ex+vi5+D1nf3e XP29oAYy1L2vNrELQbd3yR9e6rii0svTmy1roezA1XKXsUIQ8xZxKFo9QqY3 NNwaPFwLir35xtLhubB5cdbEiO4IiZwYm73LuhbyroCEYXAZrFgWfWd/+zCR lnpzN2l+NfyV6zD+FFECo85X9qyjrp/MWdH4xasW8Oefi7K7VisOkycPbxg2 bKgGY3v59MRrtXDZ4tgp+SfDBP+Nv8fjhbLzTCyoz1PNNq3bSX3+0tasC/Tn qm9bGmljXwb4U3nBQe8XbiPk9yHRB8Xc1fBm46fHpl2FMHflzOieKyNEN3Ol Uu/xMvB+kPyCt6oQLqmN8+zJGCF43/g98P5xXHCccHxwHHFccTzFjRV3xI9X wYqL0/NVNHMh7eMN/bGoETL+M8FX36AMHjqdar+/PRd4FR1mzR4ZIX/Oje0x ocb5xuR2e4PDuTC/aaM4r+EI0RJUd+wOCgfWMvMthv1t4KIXeFy8cIj0+Lz1 vPcoHEpPO8aXerXC0TfajrpCw8TskktTm3s4tBbIHj/m0ALfH8roqZgMk498 ld6/rMNhZXeA/FOeJpDy5Be2aBwmPqpX+ZaFJoDMz+Xqy4bb4KKXeGFPwhCZ /36TluqjBDCZdcedR7kV6m9wu22lrp9hJXfyyd0EeKipv7LiagsEOkXFJ++l rvOnUdLmYgIoFDj5OMxrgjcr2hLu5g+TFy9dl9ofDQeVOd8LVcPqQUbbcs+W fSNkYpL1cOJwOCy/efD9B9t6aF/Mk7tPj3pv74WWC2qGw+vs7aL7NKn8P/yf 209q3K6vXyG0WysBJOfP/Uq0akHAdYGMRMAICXm7UmSxUQK8YiyqmJldD/cj 788poq5Twtry1cAsAVr5NYyvRdbD7EtCMcPUvLh/fcpVJbcQQv1X33smEg5/ 77/fruk8SrgjRZ+LkzLoP1qpLiKbAIF/T/WKyo8SqbW3e/9EF8Krx/yRk2sT YJCdnp93YZR8Uok4PKVSBpo89aUmG8Jhlrv9je1klMQJd4pdovJRxzUvhx45 RsKV1R+U6eurvCxaYbmtCGK+WPrQ/Q3mG2bsoY9nf/V1e65cBpdjL82h+yQ0 cPe+frJ3lMgVDe0RoK4zOyBroS51n3dHjDVSbowSs8DCoLTqXBAw+QxGMulg /virFH2dorlyrkbCudAWMDPfY0M6CL3WeTzpNkoSSm/M8xbJhQreRaGsfxng 1LZU15Q6f0Eje3DFvgKQjdH8FSGSANck2zceoq6fJfL9RKhALhz+KUmiBBLA PjinZ/2rUcK+6bvvy6dCyPwSb9q4Ix0i3XVHlfVHSdLddqWcFbnwwlyqsnBF OLRZ7zhT8H6UJOa05fS9LQRb7hpXui/ESxGdSvp++k31Se3yXOjKNoui+0iE GgtKTHwaJXh/eL94n6fMf2gtkMuFB2MZolXJhZDennkqU2aU4H3gfeH96Npa XU4WzwX8aTrLIKzDbJTgeOH44bjhPMR5ifPR472T7FatdIjjO/p7oxYVJ1Zx uUnyjxKMIxhXMJ4o75V8yU/FEa0LsmIcKq7s+DtyeTcVT3D+YzzAOIDxFOMr xlWc/xgPMA7g98fxwHHA+8P7xfv8cmnQyj27EPDnbgXhuz8nR8jzQW31UqVq 8Jpfov69hcqXjleGREoNE2f3D8x7qWWwzGFO8d7SerAvfV/X7kTF59n/tr2R L4W+ugib9ZubIFJCv+k1FQeG5pOF/H+p7xn2YOXS6BYISHy13NB5iPxJ3E66 NYpAg0t0sd2LFrDaeC09DYaIurBKlWxrGdgvsLhYvb0J8nzjNA/8GyKdX77P FdtcBB5Cpc4SU02g/eSJz0Hq+tb/HeOSkSyHIR7f7dmS7fDNI9MgoGOQvM0K ca+3KgIxu2Piz5e3g6NS6brD0kPEvHrQ4IxvNUhwV+l/bq+H5cxTgecEh4nN 4bGik49q4f7Q9uPqq+tgnnT/C2Xq+hv1F9kWKVdD41oXjax1DXBjcL6OHXW+ +Z+9y1nV1PoBt5wGkxuBe3OE3mrq/JbHNnZEpxqcHukWdWg1Afv29w772CHi Y2JZfFayCPjnD2y6INkE7t7bhROpeBi0SvZY441c4P68LspMsAn0AxdfH785 TBocs2T2P8qFh/KHFvVNNENGifxcMer6fkOzly5eWAS+wT27lDPqQc5gzTXf 1GEicqPedb9vLqzQ7Aw2fNAC45lfnLinhkjelDCxiMmFDhVF7RVc7aAWtBMC zgyRAB7Pr75S5cB1Y+nYN7V2cH4dHiLaNEjkeXhTrjgVQS7vfadXBzpgpr46 LI86XhHg+ztGohbEJ/9u2FbZAisrm61HqeM/jScdH56shv/6YjxOZLRAW1uP 7It1Q6RZk7dlxrYatqTYpw+OtILJMpmJMur89f/+SFzMzwXJRXx+Gms74fsb UV176jjGZYzTGJ+3fdvxgY77h5P6ucaodaDhqlUeHf8xvmO8xzi/si3+hwa1 Hsh4XIqi1wf108019LrgtnNodM+9ctA9avDSdH07CMRs1V1Bfe7nsxMbcnzq 4YL9TNSy23HqiqLzfi6mrr9Kxmxoj0YtaFTMCk8U8FJ/rdfj+DBmhFwsnJCo i6sFkZaX3Bssm8BjnW38h4ND5ITeXJ2GoFrI3N14ZOcINV8OPFgqRa2//v2l e/TzqXFbY/JT8VgL/In+kOtBfe6AvKq9yng6tY7MpJiOt8Frj3nVN3yHiGt5 z5M31emwcft3wpfaAt/67Ddcot63Hg2RvmMV6WBkf79b3rUF+rfs30fPx5t+ H1gvP6bDIuaxnllLm8Bw7otdz94Nkz8hDgO1b7Jgwn53wSf3FuBh1rF9qPen k8QUqfqkQ2errejvD/UwE2sUOb6SWk9tAySfuqbDPOtC8QHTOghomhmh88CF 7a3ckw7pYHplLPGgTi28fLXZadh5hFjUyXRWU/Fna4HV+bpzVJ7Wf53vOxWX 5lnGrpY5mwscieofVfH1kGDw/ezM8DBZmB8nbL0sG+D+zYIr7p3QUeFrbdo8 SNxniry3iWdAS6LnYKVzJ4ilWJw/MzhIbi/4YcIrlQGvv42urcvthLfjDlVz qXF78zTdcXVqONy7E374jE0npIkYWTyk3rdr59OPmGSHw66hSYUcpy5Q/8ul E0adv6e6/0fN1wSw/joyb9K+E3TCvwRqLxkiCeryBdL5CZDZrRo8odgFJa26 ofR7OHx/xxLxmD74e88kLpinhjzU33KpM48NbdI2jOA0BvQ9s7C886mOPDmg t2xKjwVT9ZmGdg0MWFTn91lZuoaciXJz0khjgRQnevFxjz6Ycjmz18eDOj+/ 9KCwLRv4zXi939J6DrevfPHvGqIiafGpO58NZ3nOa1qwGZAm1bry1lgtOWRh +tPkEAuexKb20rrx2h/fhN4x80jJ8Poz0XkMCJ0y+OiwlgOWb19oGYjmk6db ny/hyPXBo32FItX1/eBW4nyTroM1y2OzAV3/ajJW4EziezYcuzQud5xdTBZs a8sJecuAmkRLQ6kwNviW95+j62DZPd79ja5/9YY3sWuhPxu+Zmz8rt6WRyyy llZnLmWCnmTia9v1DNh51mZKTraCpOU9XLSIuv8I6bJpY5M+6BGzufpkupy4 mX76sPhyP+yuWFx1/0IfjBzZv2/qbzXZHN6dBL/ZsBjCDJqyGbDLtUFIV7eC nPX7MdGvwoZYrh0pP73Y0O+i9iasu5jYGow1+xcxYGPkLqA5wqIKHuv+lgoi mPytPK2AAatOu01nSbDgS83yH4avisnJrzIlt/axoDyHWTWlxIIH0du3vXpT QX7ODbbfVckEkZzjM5KyHIj9s4BRsC6frNv3JurNmj7YV3HLI0GNAzmfX/35 olZCLpjU/yJhvdCnVls+L4sNLtvaxS2nK8grBfvLosIMyPEui2+52Q+Hv18z KtpUScpZ1qHnN/aBDfPEEXNbFoiIvNC4GptHDDdN79pMPUdxrY/ssnUsGMz9 4frBghr/o/f2ftChjn/pNSKdDFgatjvX9XIe0c8IznamxjOe2b74OPV8Mpxv trGs84jZi2/uX6hxM520yff8wIDa+yJkS0QhmeUUQ3QK2JCRdn6LwGrq+tV/ b/G+LCbHtsnfk9dlgZfVMkWaC0hfSTrz424FcboY3ClGvbdyWziml+Oo9+h+ zObmo9Q4L9mUuD+SDZVxTjZvVrBA6+bVurjQPCK6O+FTYSQLrO1LtnpQz7Fd ZqmEUEwG+dXSd8NfngO7BKVX7wlgAPvo/ry1KzKJpnCVnJBqP2zo+HZtRL0P 4hvdVVwU8si+hc83uKzmwGOThPnJyn0QcPx1TMX2XLLwcmXyxo0c+O85WREl xQGVzVLGme/yyLuFt0e8qPf55ppipYTHDNiy9bnZW71iYj5mJcSm5uP3qayf 0VpMCGnbWZuxo4aYuy05/IIa51iHwo9nD/QBf3Ldky8ixcTbwsV/srofuI/o NdD7axNG8DF6f91abShN7a+hOd6keAm13z+9+tp6ur+P3X/kMN3f5/+jD8Ca xUVryui/h/krmZ+7JIq4FEWo0n1/FMxF9tD6W/DQHaOgFcnEuGoe13fnergU lHGc1tMETuxVmhZIJoLjkd/pel/NwTKvaT3hr7ntAF2f7N2FORouV+rhnIDe DK3X7ZlZ0ubPTiKMAun1fvubwQW+n6X1jZ76m2xa36jocfm5ybEeFspaR/+/ OoNPlfvvi3erYU4288tFnRFghFwMpOuQDa167UnXH3vm/ayV1ituVf/rofuw nN227Tzdh2Vj8ryTtF4Xsz4/l+7DEh/4spKuA/avOG129bIRWJ93Ipbub7Ik kq+SrgO2/8ukG60fqnBsbd4kAQlgZ+bbOtbCCe4gjavtw3DYdOLKBd4CUnSm fQtdD9Nr0wn2YqcRWBcQkknXK91Sl+FC1yldOR15l9YPHdUmz9P1PnWmWxfR dT5zrUUi19F/j5HJJVRoDqQ2T3Olh1YzWIlFiNJ66WyfE7br+vMJ7+YWXro+ 5+jDqLHVH0bAY/vmRTNlQE4yU7/R/Vwmd8h2XeTth4nxuHtqQTVkuUDXF7oP 76ZTAbZz93CAeeii/pOyGvKr1C/kj2cPvBWZ2zirqB9W/9NcuM64nnxV9Iqj 60mK3ra8Q/sMtZp+pBor1BP3s8/W0vEhZm+K6jIGGw45XJM+fqeWvJHQ6hKl 4oDJmvO1T5+wIVop/rHU2noyh9Gu+nNTH3BimcKLnThgVas1PVJTQx6fGeKi 66R9/7lh4EMQBzwn/0un61yWWy+4QNe3bI0auk3zoJHMm/99OF9J9psLrA3j 6oUzF9xSaL6jv2/uLkFmNVnq8DRfl7rP3zuK9n7dzoL+3VE/+1l1ZDxCpZOL ip/ZGX1jT+xY8DLDLvnJaB3J3rvf8aU3A/hfzWtNOk3NmximUqZkHVFxeyxk RsV/UiG7MPYbtQ408rkfSq4j++9OXX8hxIKyGLkJet0TXpKvn2BWQ3zGNist UmPCoITIo3U5AxBqrf2n+0gk6Vm/+rPTnR4w31zK+7ZiEO6t2SYw9iCSKKg4 ub7x7wKXuWdfrf5vEB7+05Gm+4W9+/rqCt0vLMElbdgnbgDU5a8n0n3BJhTY cnQ9Hzdj7XbfLwNUPuQqTffDevJhx3O6H9bwbt/z+wM5MOvD7n3RayJJk8SQ Sjb1fGUM6ngT3TkQeNvGT1I0ifCEOu69TR3Plj+yQv3DAOiLBihIUtfvkotj uFDXGYlmHKF55U2WyJmFBpEkymLOt+Z3PbCnPPyy0BsOxPFLt8crn1a3ntnd 20ZdR3ub+LGCdwMQ5e9h7bzQVP1yU7WLbEoP2M/t+1dQPAA6phtfB3FZq2vs DXLwp8Zh85ovacINg/DP1sXn5H8m6i6qY55/qXFYHWxrLmrKgYiLUgmKm7LI 1DlDn+3U9TfKzPdOvT0AW6+7J1/yyCJii4a2DFHv56HFkhb12gNwVojFpPvH 3dfRPED3j3sfobzuduYAkA+qLLpv2oLQbfl037TZ77muGD8fhG27GXEDFVlk j4Gp3ynfLuh/8Mrym8UgmNY0ZdZ55xPPq0b3VZ53wdrXpW9bqwaAUb1/wNcu nygoyFnQ/eZQL0D9AHUD3P+jHoA6AOoFqB+gboB6B+ofqHtElmbE6YuEg8NB W3Vaz5ivPrmb1jFQf0E9BnUY1F9Qj0EdBnUW1F1Qb0FdBnUa1GdQj0B9AnUJ /Dvf0UarW8nc39RK/vff+cLTH23PQ/+0EoEJ1VSHYTb5GeyttNemm/xwPMNr f26UWC0+9T7qSQo5aE5E9n0rIGpvHrPDknKgSX3HtK/xKNlWtnJZ46w8Iixv uFcmow/2P3MzWiEsDLXnyy1eb+HAxIaUG4zkPkifExDWZBlB5u0617t8MwdG NSo+LKfm63eLRx29glbq6Y9z4+89otZZx9pl1x8w4Mhnx9+HLCKI0ECtQsqd fngU/E6jNrQPFij6XrASTiRv50fHPKbyns4kXeNdEn1QUWC7Njo3gfSUt85e +JADgg9fBNnL9sHWoJnh0OoMcmytdM2CExyIzPef7ebDgI8lHgYh5olk2auO Jces+2GLtUBZqw0THo9JCYlE12YdfPDqekQhG+7Kn1TSPs0EqLcZNb4YQX6q LPl7gTq+X/uC0ZxJJjxRv1ir13FafVlI1QHHvWyIe6Qg4jLFhC0PC61DHkQQ 3ieplu1UHvizcX+Y6AEmGK+VNBC+mkhuBFxJmKHynD1Bah/1Z5ggs4N7VeHj RFKiGy3itYYNr5WvXTmxmgmfXgsN3NqUSRY2e8kqUeffPyiglzSXBRN6L9Xp vlT7M+96032pwlaY6tL8wl3VIF/JpoRkPIvT2EXFgW8vi4K0PnGgtM7Ie8at kuQrXtxkSc1ffz/RLw/ZAzAmqSP26E0JqeU7/ImuYxnNNXXpj8AgtZ/d/I+u Y72gj6eMrl/990WU2YWxAXD8lnp6aX4Z+efgFGlDxbcb7dtWbJrfTd5+ilg3 kNpJZMr/GcsvYsPwPu8dJiO9IODgzn3c5z3Z3uAcOp3NAVZV+9l/1Lxm/Lt/ 6G9VJXkw0XvxTWAXGMwsyqE5wmPH63F0/cuKjZpfZajrq206fry8iwOOJt2b qr3rCc+meCZd91InxHE42a4X/s34r9PuaoBa6bvzBmle/Eym/IUglY+xSh5w LtfB3H2lsYvz2SThUu5b3W29oMAvyPna3AB5Mtrbb39nE2bYT5FXor3Qr239 6f6ROujWzM568LCfeNx+aX0/qgdMw68pNeo1g9qJVYZnqeusnDNkv+N7Nzx5 cTRLanszOE/yWIUf6iezJ9ZaKHV0Q1GMv/PRDw1wqDbtmuSPfrLkntxcE9Ve yFJeuZ9zpxGe+kpe8KWus11i2eJZBr2wUfrEqhybZsiQi/VJU2GTjEuFcu6n ++DzVa594oHNsC3tzH0XHRbpaMv8I/ygGwJ9e3v/e9EADvbzerdu5pCM8xqM M1Xd4Lf4mZUttf+tNvZ/dUmBQyYjO+3stLvg80avUBu/BtAIuDfen8UhFhM7 hUoDusFU6OTMn75aEN7ePmT5hUP2Jke6yQ11Qv/PhFVL59fB/FuPxqbMBsh/ 8RtKZY2p5/OjMb98UTP4ZqTO+72JQ2qCfa6t3NkFz919Dqz/2wRTO5xK01Q4 RDfqraCaZg84Ox88mbSrDt7GrKjWluOQvzFRycPcDBC6FhUkVtYDXel1oVye PSQs6JD909Q+eNBPZLeZdYOv0/Vrnzf1keQN51jx7F4YyWk9tph6Di6aXzwV WnqJMOvp/PXtveDPNDpw0bQHkpiCs7bI9ZGFbx4saazpBYnds/q0lvXB7D1y G+Xv9BD8/3g9vA7eB94X3s/r1S872kN7YR3795OtQT0QXzAmIEldH6+Ln4PX x/Pw/+H55u//gwihPsCfAgoR8arSPQTvG78H3j9+fxwPHIc5FrxnGyMaQNZZ t3LzrXYwfOmf4eM9QHDc8Tng+OPzxuePzz1LaWDaeKgJlmzx0lD+1A67ns1L TfnLIUaB+/0UjjdAuoinw/u4dpCdfe9EOXX9E4GXr9tG1wPfCu9NMWXdcHTf i+tG2zik70/LmqjkWhiC/KVBb7phTfaR5NvxHBKws7byJE8dcHZ2fTtDvUf3 152WyTEfIPi+4vuL7+2JnrrvbeYNUJ965PdS53aY5PP5HfdygGT3fgqh51XO t4wr9DxLWHPLmp5fOK9wnuH8wvcS31N8PzPapX7FZLTC46cOOysym2DozA2O ysMBwo6NT9jH3wrLl8h4nk1qAvaJi5n8KQNEomGr03mXdngl19ZiSt1XnssJ X1nqfhRPr5F8+r0FTH4+m65WboATsxfq3dMYJJKh7CflN9vBt1BmweE3DbDy 3udrzQ8GyJViI3kJvybAn6H/DPViDAbJhRdh/xY7N4E4v9S6CdEGqBhoME9t GCT60p9D9U3bIe8X74k5zFooddeOk1g1SFTGy21ONrWA1sMNP4NLayHzyMcD y78OksGeopyzs+qgmtvS4I5eJ0Qbjp75Sz0vfK74nPH53v5oUz9OXVejvVxO 3awdMr4HmKWvHCQnX9csLKWe97q+dlbksQb4WPdPnI+6fyOV1KH91HXP3Gpc rEx9jh1vznIB6jjGL4xnGMcwfmE8wziG8QvjGcYxjNcYvzFupxTxcKVTcfl6 1e5YOk6rKwhuoOMzxmWM0xifMb5jvMc4X154eaWdWh2s6nb14tvfAx/TzPZ4 SnMIxnGM6xjP0ReFPin0R6GfAP0F6CtAfo88Hzk++hXQv4C+BfTJoW8O/XLo w0NfHvrx0CeBvgn0S6CPAX0N6GdAHxj6wtAPprRWW432t4UeO3mQ9rs1uYm/ pn1uDzZLq/OKFoPl5+wK2nfm88TRnPaboc8MfWfoNzMsKZak/Wrvzj8gtH9N +Zz+Ddq3hr5A9AmiPxD9EOiPQF8E+hTRt4h+RfRTor8SfZXoR0R/IvoS0a+J /k30baI/DP1i6BNDXxr61NCfhj4z9J2h34zbaokk7Z+7qi8NtJ/u3GjBA9pH hz4z9J2h3yzzTPX74lkV8Dl1eHq9SR/Y/hcQOObQT9Dfhn439LlxC3fn0b60 jHP7jWifWkIXM4H2p9ldN+il/YsjugE/pTqp4+HvgmkfI9ZLwvpJWDcJ6y5h HSasv8TZdv7+Cr1I+MOb+5Oun/TS9toeum4S1j/CekhYBwnrJWH9JKybhHWL sI4R1i/CeklYPwnrJv0ymVJ6+SAC3A7b/0+dpKzXi/6nPlKByFOBx4IMCI5V 7D61pw/W7PSXvh7QRfDf+Hs8jnWFsM4Q1hdCnyX6LtFvif5O9Huiz/Pa5ONX tE9xORdrCe1b5HItfUT7FWutjXbQ/s6sYGpPG8CAtdG2g7TP07Jwy/OvdRlQ kG93Qca2D5bZxXT5UesI+iDRF4l+SPSDoj8UfaHo+0QfKPo/h9+HxdC8zanx b12KcjUU3F7ibS84TK44apeNJTfC7NJ9R/Kqy6Blc/RTmrshb0P+htwNOSJy ReSJyPmQ+yHvMzh6Tp3mN7bh/Eo0zwmSbBKgOY6iuJt2VHs9WAhkNp70rQbW LsEka5obqiV/+tNSD73Kqg3VStUgYubUECY1TOIOj+vqldZD2fKuby6pZfDt vEN6m9MwQX6JPBM5JnI+5H7I+5AXIj9Eboi8EPkhckPkUsipkE8hL0R+iNww JfTZZZrXuteyPELlS+Hqx1ndNLdFfoM8BzkO8jzke8j1kP8hD0QO+P7tbAWa F3pEsuNpfnhqXqAjzQ2RhyEfQy6GHBe5LvJc5MfIk5EjI89DvodcDzkQciHk QcEmvYG2j7rgP5GLv9yVuUly+XlGNXUceRLyJeRKX4X/O6Bp3Qlc7MpaMYd2 9RDR2+om0kMEfTbou0G/jbColk8wqw26hi/zLAgsUg+ZWXLkafkQQf6EPAo5 FPpp0F+Dvhrk4sjJkY+XHFZJpfmuqMLXZzTvzTzafonmvMi5kXsj70buixwY +S/yQuSHyA2RCyInRD6Ifh3076BvB30z6KNB/0zKPxeLYVNqPxMk7ebjmg7+ 8ccv0zwReSHyQ+SG6BNC3xD6hdCfhH4l9CmhPwn9SuhTapLoimm71AJbb9xf EiBSon52B/fc05bDxFbc+eY+7iZYOftPeMCz6+p3J+15D7QPE/Qbof8IfUeK 5ttnb35TD0rmyjL73HKzInMiN63SGSESc/617dWphfY9V+K7HdLBc+n+uyPO IwR5LfJb5LbIa5HfIrdFLoucFvks+qjQV4V+KuTEyI2RF6OvC31e6O9SUJr1 6sPbVth2fsg70fK6+plrjHl61PEDGV3zmNR+oE+iTaoWiqDN+U18IpWvbn1c 9r5frQeeqTu9rfubC/mfuNxNqeMvtllduPyyG7S2nIv/mFQE57Wmk38lD5D+ 4m3Moz7d8NRvjqjgUC5cP6t08OXUAHFMazYWs+6G8YSZt+l3qfnYlLnwKpVv u3i9Cj79pRPMQ9rfPjYqhwsTyiFxGwfJAhV1pVWvO+G8Q0TM+MMiUK780c5z c5Ac2OzaaRXaDf9xCbZkmJfCoF+HrC21H8ksztHjiuqGi4Gh2Ube5SB0SeiW 6OkBskLs1si93z2wfU/IarHdFeDLfHV7w2UOeVapdn/zeA/obduz1n9eMcRv /snOLeMQXsvMR/P6eiBHbKnGSeE8eOHnOVUlNEBE/o3yfU8vhxvDx12Gj/fC mtdFWg8VOeT3ILPl0FQRcNwD7hlX9YKpZ8CXvdT6+N42Upb+PEfr1b/oz5fk u32D/lz8PPx8/FzNaWVrg9150PP0eZCgTB/MOZzN60jlIekvxrd2PuiEjwKj I/GlubDwapI+H7V/QR8G+jLQj4H+CfRToI8C/Rzo70Bfx//dv/2f/Rzu43Cf hvs23K/hvgv3Ybj/Ml+q7Ge8vAF2aMcWsZyaIOBs1Mqc5kGC+y7ch+H+C8/D /4fn4z4T952438TxxfHGcVYQjPamx8vYsLpKnxq/FRKxUvS47a18YFFzshc2 8S4UlC8rB/2cVvaKLRzyfXbdsr02TSAReVSyY00DyMD6m/XU55Y+WlbQTv1b vPxEpib1+zVZj0Lp47M+nbtix9MA+NN0TgcxMhki6EtAnwL6E9DHgL4G9DOg nwD9BegrQB8D+hrQz4DvH76P+B5qFNj868wqgrlmM2MXO7thd70A04aajz5L D/jQ89Mx7VQgPV/tojY9oudpesK/zXdPlkJK3McOQs2blAL5ISlqPHGe4LzB +YLzE+crzlPZIwtcmxKKIKre8LFGYDco+aZkV1DvCc5znPc433E+4/zGed25 uDyEns9r7Eeu0PN7Iqe0nJ7X+H7j+47veawQezZdl2F55bQYXachdosIV5Vv FxzdPXSQruOwJzrWmq7rUHoo7GqzajeIjHlXVHvXg/vE/v203tmV5VVC65zR EToxkUsaQbyyQkElqA8UPHfNN81jgZptN3uFRx2sXDTuY+PRBy03+s1kbNlw R2bPBlfxRjgxN0TsuzC1j0g2E605xILB27FR5z/VgbaiynRQGgOcW+VSZ+mz 4MWgXO+myCYI9aq59DK2D2rLWer7qPNN5Cdn+Hm74PmeJlmOEBvUdov+L7qu O66n//snq5BQSUZEiUpKEakuklAqldGwEqKQiNDQ0FIkISmjYRMVKtVp76W9 995Ikcrvns/je/z3+6uHt9vtvl/3Nc55Pp/nedLG2ef56xN7/Olr9rlsLs3i CWiF6tvfbz11aoTj2gfqn6TVQVBIyNf1/O3wpCbLbk5XPchslV34LqABvpXl l/l9aoVmf1mLMyENkJh99uEZdr7tWtmr/WxSG2wXiH4o4NwI1nIiU26EN4Cx 37NfWFc63YdrLvYbSqnJjrx4vQGU3ed+9eZrBZsfBRM2YX/tERe3I3H1cEP0 XQf6cyyZZ3DNRbIZ9AUOTb1xiI1/IjccDnNuhcUJSQOTpZtA+bLwTPTpiFAb WYm+Hc+WSPNsedoExceU0odX1YHW/uuK06NaoNegdmGCVDO8CE7PQ/+RoInP x5pMOiB+8IuMMfs8G86a/jJorIZIt4u3l9e3wVTdzPzN7Dhsfr4ges6dSpi0 O2k6+pr0vrM/hv31rFblK3Ww590dlbtTrja0QUNpl56OTSPoZI6efXGqEn6Z Re+o9W2HNzbroZ4dh3rB/Fr0N8n7VKBW86cdahcd+cXmR1CV3uiuOqsGQriP Lf3a2gzzHaTb61LY/J5Lw2DhrmrYPhoe/r2qGYR3fHfJmtkKEYNy8b+MqsGj WGv/RNEWmHZWbSNvagv0yHWrdG2ugfVzAmL+HmoFr1WmE3HcRqdcv8kEVoMW x0HOzD2tYBS+6OoXNn9tsDz+y+JlNTRHlRa8uN0KjLT9IXv2+lLbVWdV8+qA a8KHyNUy7ZC20Wal6O160HkgWuq8sRJmn99w3fNjG3Ql+y/bE94ENuu3SqD/ yxWD/dboB9PxmcfRlb3+09ki2yttrczirHXfGv60MVObnl3qm5nIZHaZ+ill NkHP7UDfP2z++/DNRrUj7Dgc1bHeJlreCG3cs47fP9oCYXndsX5TG4G3Zmai +69GWDFRIG94Uyv4cfNyOvnVg5bYiqXc9r2gYGE527U9Cs4/fqOKOoS9bpuF Uefgk/CMwTqjFd5mnQM2JSB2oyELdRQd28YCG9pDIXajkx7qKCTKT4qjXqKs xEML6y/u35TfgnoJb79ZH1D/0PfJ6BbWU8y9UaiD+ofCpVs8US9huLSiDeuP FvctmnmupBiEtu78LGXZCOWFpoJP9VsgnuuErSk7f14+ihE339EI4i95/G2+ toJLnMdyA3Z8jF4stps9uQ7UL//pMJ7YAvYuuuq6g+x5u0nMSrK+DGZ8nNuG vjL7HW9oKrL3cTy5rlB2Twls43/gOZ7eAa2WWrOvsfOqWFvayXRBOaidKe7t 290JY6Da1cqO57oM2x715RXQK/jw5E7RVnA7wacjyM6T432PR27tKIPnLb5G XjNa4RvHm0g5dr7M2ndHqdGkDPqlyhpdHrVC9M3u9R/Y62363VOlqsogMD/5 qtTiDvBNPKGAvHNlbNk5Q9kSWFz7ojlopB2Oj28JVWHXHb/b63sTgsvgm8PV NR9G2+Dl7Eeahey8qlJrqJm/uAR2MrGyt2+2w/r97QaDq5pBPkEhSEO+HJT0 zwYeFe2AMynuRlLs993V5Lm9e2IF7Ba/7zMvuA3ag2YoDLH3yV2sf+nqx2J4 0CER9HagBS5u0Hf0FGqDua01WbztxfDiyp8nH9e2waFd093G0tnnj1G13uVd BmPy9Zt0vNsgad3HWM2oZhi6v9XQtb8YJmTbDd863QYdHtyHHri3wEaDmwNu vRXwpqNfc7NMKxSfU/b1tm2BPSHi79AvyenCw9Pon1TTeerUOPv8vPldcx80 VECulpqAaXcLWOe+/R7L/t0bE9+7H3lRAWrTVk6riWmG4/kbah1+t8Jfj1F5 9MNaYvSKE/2xeGyn3ErEeeLM74N1ZOITw7yxjmwgWmvDcXY+i7x/V4p1Z3KJ guFYd8az4d4i7Dvc8YpdOaK9IDM0gR/r8swefP2wdkcF2M/nX4H6llVHhPkt ZqXBEHwQRn1Loc74OawLU7ec0Z/TXgLpceZSa9n5b6dy9wLWkWV51/NhHVmh 0jIN7L9sXDg8G+vCGhfu88a6sDULbSw+s88TuW7yZqwju5dwPxjryPgsNERe sOvLZukfM/TVefag5SD66jyq9yjFPshDRnMF0VfHStRSFH11Si8/9kNdzbEl AVVC73vg9Ls52ef4s2FCU9R07M87qn29Ut2vB4wsLKv6MlNhVMQrAvvOqKV2 t2Fd3vzu3itYlxftqRWE/Z2vvJ53Fv12VCPTI9Fvp/dFpAf2MVfMCVtbXNwD 9Se8K7AuUnaCVi72p9MLOjKAdZGRxilPsS6ySjPAw50dh8APRSkOH7vh/uXT vTMFCyDfdrekwWg1CAc4xSN/Ks7dNhPrNHfuv7mcmz0v5N/kdvznV9v/6xTW mZ5/fFOtbbwapn8v+/xtcjecHXdpVWrKh/F5X0EnoA4mjY9eQr5V6kJy5/TU HNC35chEvpVj9NjrfqNuOL9myKXdPRVEZ3+O2YA6B77ZWlivujVoTA/rVe3s T/Kd5qwBVy++UawDzXOeXIt1oKKqBX2S2D/aRzpLZFovdO0se4r1ejrTXk7G vtXcx/YLy4/3wIQr1/Kx3jDVISYM9V1HUi7aYL2h75peQaw3XNqZEPmdHTcX 6TwH9CXcHHesCOsNF94KX19lVQL5qktc1E1aIcDnzu0RqxBImeD053h6O/TG y1ZcYffxqCrN4Fu7QyCL1+djrFMHzPS5997kUTPEOgrL3DsWCUuuHvAZW9kJ TwLZE+ITe54fW3xofl8w9Mw87LtNuhP8peYs9PRugXkpOwbrdCPB3/DnyVNm HfDIuU0M+ff5Ce87nD1CwGbRtJPIvzPy/VFc35pA9+qILt+rp2A2eVvg89RO uMf5U3nZ9lZIX/SC2XouEjr4DlROZJ+Tq0aPd9d4K7QEvs7SuRkJjrujDzov agd9jodyWKfZGzB8Dus0/3JYfcS+1bce6t1F/arrt1V1usKpIBztNdbB7j/V GuINyyU6wWGRkLunSCrY/vbne7qoGVyfHPVHfeBpvbsH3zxLAc+ZyfrYH2qv 1+N1WJf6yvbSaE8OwKx0FX7sNyexzPgq6tmOqSULz5b7CDNLVWpRzyY2z90a dWve16HpaRRAbCInoG5tkrXgCtS5Gezr27E3AGDcbnkb6tw27HQ0Qn3ab0Zn N9a3Tn6xcMiYfY9HRbZXoT5NV+Deps+GwMZzfKqoT2u6H3IL/cTyt8uvRD8x LplJHNi39/gHv/98w0xMQv7zDXvhfTgT+/xOrZ1jgL5ee6fc60ZfL/2Okxux P68j7y119PUKPZ3wGH29/Iqdp2D/Pl1lgST0DdsXvGQ6+oZtrzbjxf6/egM9 z1Dvd/GS5fA9XvacnejtgHq/HHH9JtT7HZOSScH6xGXZhuao9/t9QTsAfcni 8u3a0ZdMYbPKAexjvmezUxf6cR2EhIf/+XEluVac0soGxaTHHHJP+uCwsNRD 9CXTVvizq6Y/E/QNvaPRd6shJcUdfbd4f+rGYZ90iW7tw+jfZfBzeyb6d0nX c09zPV4It1fWXkFfta6k8BD0VatU/SCJ/c0N2rslJiR0Ad+GMbHqgnyQ27fI 5en9etD2+uiPfmXb947UoF9Z7sJwE9G09+C/YMGEG2r9kOJttQz91sx0NO0C YxJBJTbVAn3JpiZc2oC+ZPtKGu/aDWYCz691h9DHxDO+Jhh9TXgSxLyxj+EW Hq236DuzJ988HH1onDov+M0NL4O5v4XiEgzr4YmWyodlwp0gdrg47Rr7fv9k KR9B/5oHiadS0c8meuJg+UmNClAwivpd618Pb3Qah8+zn2s62vNgv8j0Ar4W 9K+prFDjPSDSBbsG9lmZsPt899H7tVboAzWnigN9od5F3uP0jC2E/cNFMdg/ aIps4QPsH+T50NYU+3iOuEd2YP+giaMPeLB/UFqdjjjOB5+fgY3YJ2ip1M8W 7BP0VOHRF+zbWBS+aR/2J2qJ/nwG+xO1TOgbm8XOq9F6HgXsN7RvJN8f+w3p TZnVhP0Qz5YX9mKfo8DcDEHsc5Qku6x8MjuvNEzrf6KPxivuLQaoWxQyXSCF ekXeT+4ecuz+VXeyOV16fxckDc0dlGD326yrN49PbS2EVl6hQP1TnXA/XYpP m42jtvzQz/5jnw/vzQ0SUF+j4fpWDXU19L7p/dN7f9orWRV7Ih8E+3Sfndzb CREvvjg/mdAEzut9n3tPr4QpjV2XBjs64edvDjuzsWpw87wSoy1XDiPZgZKK GZ0gu32rj/94LUyIKDqT1FUJuQ1qY/ffd4I7X6ws9i/rFXtihn5AmguEzqA/ kLKAQ7s7ew4Kuj0wxv5Q8af3+WJ/qJ/tP1WwH+Xv5kFn7FOw7I3STexT4KL9 bir2izyp6y8wx7QUkhfPXbSvrhcMT/dqYz/Ke8eGGOyzcOUEtyX2WTCK47uF fVd9vbcfk4soB5NbwRbHO7vh5OVLaqfZc5biA4oXKE7YlGvpgf3RPmre9MX+ aN7+n0us2P2HziE6l+g8mvM6/iD2sdrWvX0H9rHaf/Th35hn+SAz4FiOPlAH w/8cELHshgJH1z5O9lw+uf3CZOyDtstsTQD2QXv5N+Zqp3UZSE5Z1jN+vRyM /3r/FJDsBv/Q2zyr2Hlu2zxQg324Zs80mI59uC57VG7BPqRhl52TsA/X57dO RdiHqyRxth/2LQ0Q5EvDfg1it9XWYb+G4Ftma7EvZ6dIxZIx+yoYleIQNuvv hjsbOraGst9rZJZErUJwOmheFJ/r/bIFVrZpvNZLaweZhtIztidTICpggbbh kxaofHdt+Ws2Lvbl3uSZZ5UCTx/MSlxX1wJ+LmW8Z1PboWtD6MdjizOB+/e8 pB3bm2H3u4BbJYUd0Lky8pbm1hRYEnlmkYMKm6cdDanrWNAJVWl5fwK1MmEr p9YB1JsvNueSQZ2550+zxnSjTBhdndGWLdIG8/W+bH6h0QZq82YyBo9SgCuo M/7pnDaw7jggnhXaBvq9qXMr92XC3yvu4ifft8ArPru9KqHtkCervEzePxN+ OvX/5FvI5nf3R7dJ72qDvFkGe2w082D7k99h9YktcLi6ded39vwNHRX56uic By57DCq/xbTCa7fQMDGtNjgnUbxms2QerOJxEz6yvAUKzt54M84+58elPPYl HHnwYPB7o/S+Ztg69aJNr2UHVB4c23HYqQiCp5z7M7OlHfZaR7xGfXLh4wnR vjlf4bimSevkzZ3wVtd6E+qf1yiGa+0O+ApLl5m8ODWrA77OMulRZ89ZU+O+ xeGr8mF+eVhl1dUOqF49z9WMvU9zku3Ou4+zYCB2pjLq4za84juJurhd70OC X59OhRSlqIzKgi7YNqu7eG9Uw784j+I+ivcoPqN4jeI0oUqXbKNTWfCwrCbr 4SR23w5qUN7I7ifrtp6N99+TCllbwmRRD6vxPEgKdbArnfj3RyhnwatqrpNY z+GimtGKOm2KJyi+oLiC4kWKHyluXOJgV8A9WghNu+Z5BZ5shtA9k/Uq2fm2 zma92alJX+FudM8Q7+tmOPve9k4mO/5Pz65+qfwmBYyqE0uNzNtgVHNb3GrN NpgxlDRutOIrNJXkCp4qZfMXgycD2MdcNjRdQHnkK6y9pGjx1qoZvBd9PTPA ztsYeeGzHoNFYL6qTPhgewu4TuV+psveZ9jWNvmAwleostli6b+tFab73+F1 ZT+vFilZ2OjbDJ29gy7ozxcR9lP2D7uu4anBMPr09df+LMXPtVa/Y/bJVcCW vdUFleznjk+4lqPPn5D2S9N8Nq8ZHD1QlSTWCHbufFHoy+j7u0m9/lwJlE8T XYU+g1oZTZroOwhrVsptYuOH2/X8Nuh7eHfWjAfog2jx68KNv+z1EpGxM1PY 88Eoe5L0bnafv/Yxdgz7Ix/+7DZFZkEjFP4ekTXk6IQVzn+eYZ9oSSPbOh7r Fnh4OVQXfRm/R1rNX82em0+EAo+jb6NBbXME+jiGacdf+8z+3U/L7fTRr7B4 ZSMv+hd6LPskKclefyv0QV6MXCsMXxVIl7rWBhw/Yr0ns/nRzfQblugn2NVl YoH+glvc86fbs/vqNQFnH/QTfJC0LgD9BVUvz1DHPr91WrrL0UfyxyTOxgrO dpAKb9uL/Xa7Ir/6oO+kQozhRPSh7HbaoI99fgMShDPR73LPre260+61w6pp Q78r2DzowoY916o0mqD1zwrV1dvYOHi+9jFrdv+Msxi6iD6PPKkOuej7+Nuo 4zr2of5/+ulA3LyRF/PLGmC19br2Uu126LiolTPGVwMfeS/N7ZvTBOPKD8Qt vreC/Mav64cP1kK/baHgt6VNIL9geD/6uk1PczPpYe8jpXhgDvpapujYR78s 6oAZ8Ukl1difmhEQRh9PybfT29HXc/va7gHs022+M+B+0lgjrAhW/DjdpR2+ P5tmdZm9/tOmOUXoB2qeVTDnNX8HnI6M3rsW+6t29e5Gn0pbpRP30LdyxaPh qyrs+3I3U9gT9bMZ4g4cDEG/uiMXroUasnnc8jsue7FfDv00vvgl/NzDCtAQ 1HyF/ndRyiPzj21oBYWl4lP62PPdIyGuEn0kr18XrEZfyVeloV/vss+Ts7ZS 4fSeZgi3KK5GnzyHpQIO2Hc4UMAmBfsVSl21F8B+hX+7vj3BftN3Npjy3L7e BAvjjx6UmtIGQe+vt9Wy909d1p2PfounV4XMCdPuAkZnU442O26PJmZvxX6d mZIdZdiv89OKnBjs6xqxPuSC4pcSiNEd3ZdR3gV2Gt+H1nPUgIQuB6AP469v TxrQl1Fo793JS/sr/+EChBMQPmDP4ZJiNFQDRUt+fJ4S2gX+Zz88xj7almrT VmL/0KdXLjlg/9CX59dNwb60/tu0vmD/x+pJp59g/0fj7qEV2O/1MggoYv9Q sYJNRtg/dN69jhPY31ZwqnkU9oU8MGRzEvtCWlUJb1rA5kEWgdnj+7orIMmV 2wP7lg7XG3GMs++x/dQDZfSp3HMsaXjZr3YQuXtKDvtT90kHbkF/zKTTLWbo l3lr2kU+7B+96XD1PvTHnFey+i36ZT64GxF6gr3+doWBBPpvemQs1EQ/Tilz qSeDbDxpMVEuFv0xM698UEK/zIZc3ljso3163MoH/TTfXD2Uj/6aemetv11n 8wXd9fwR6Nc5aOD0Dv07938PksP+1FMEcjej7+ftmJOq6AMqM7DLoZb9nMaR xpXGk+J7ivcpzv+XD/wvP6C8gN43vX967/Q+6P3Qe6H4nuJ9ivNp/tF8pHlI 74PeD70XygcoP6C8gHAxwskIHyO8mPBjwo0J1yOcj/A9irco/qK4i+YNzSOa PzTPaN7RfKP9i/Yz2sdo/dB6onVEcSTFlRRPUvxN8TjF4RTfU7xPcT6tN1p/ tO5ovdH6o3VH8S7FvxT3Em9EPBLxR5Q/UD5BecQ/Xup/PBXxU4QzEu5IeCPx FsRjEH9B/AfxIcSDEC5MODHhwz/M3Xchjpyz6NE0nx3suZKpH494cj8UHkLc +YLl8p+IQ683dN2H+DPxMcTPEC9DvA7xPMTvEJ9B/AbxGsQzEe9EfBPxGcRv EK9BPBbxWsRnEW5LOC7htxpxoavH5rP7+O1b7juXlsH9hetuFbHxDOG5hO8S rkt8G/FvxLvVafYsehzTAt8ERJeeeVsMrif0Lvxh4+Rlt0t4Xw2wn+f1qB78 WAxy2feP+Am1/cOdCYcm/Jnwa8KzCccmvJvwb8K9CdcmnJvwbcp/KB+iPIjy 8H95+f/yccozKe+kfJPycMrLKR+nvJ3yeMrfqU8e9c2jfnmEIxCuQHgC9Quk /oHUN5BwBMIVCE8g3IFwCMIfKA+kvJDyQcpXKX+lvJXyUspTKT+lOJLiSoon KV6k+JHiRopTKW6leJXwGsJvCLchXIZwGsJnKB6i+IjiIopfKZ6lOJbiYIqL KR6meIjiI4qLKB6i+IjiIopHKT6luJTiUYpPKS6l+JLiTYozCUcgXIHwBDrX 6Zyn853yfMr7Kd8nnIJwC8IrqH8k9ZOkPpK63/w3Yj7/ZvqM55jfn1x/ZD3m 9dR/kfoxUh9GwkcILyGchPAUwlcIVyFek3hO4jdJB0C6ANIDCHLUjI8eaoOt ERv312e0gbicwCQ99nmsKl7Ibb3QBtvc1HSDc9sgvzhbKN7tuApdR79H19N1 9Ht0fUgqz59Fy9h9pSpNspbN34xff283YeMf+jf9P31OfDzx88TLE69PPD/x +8RfEp9JPCbpBkhHQPoB0hmQ7oD0BsQrE89M/DLxoMSLEh9KOgDSBZAegPhg 4oeJFyb+mPhk4pGJbyb+mXhnigspTqT4kOI8ivso3pseYMehH9IGA1ztf9zi W2Hf/PDOKvZ6+jf9P31O8SXFmxRnUp5AeQPlC5Q3Uh5J+SPljZRHUv5I8SXF mxRnkv6A9AikQyBelnha4meJ3yW+l3he4mWJpyV+lnhc4nWJzyU+mPhh4oVJ P0F6CtJRkG6AdASkHyD+m/hw4sGJ5ybem/hu4sWJJyd+nHQSpJsgvQTpIUgf QboI0mGQLoP0GKTDIF0G6TFIv0J6FtKxkL6H9D6k89n9y/cO6ns2Mva9qPcR OMerjzof0q+QnoV0LKQnIH0B6QpIR0K6EtKTkK6FdC6kb6nhM/+FuF5kwJpq Of9M0H9jtwPxvQ9z1mcjLslxmnFGnFKtWH0q4pOtLsESiA/+mOfysWJfJsw9 w2WIOKG8rm8W4ok1ms/WIr44Vuq0EHFFwkMJHyVclHBJwikJnyR8kPBCwglV 3iTrIr5p5ntzUpBWJphuvb8ecU7CHwmPJBxS7ZLPrZX7mmGtV2jUAc48uDfr p3OJZQfsKsn7jLgqr0edEeKs1T7qgYivEi5GOBnhY4R/ER5GOBjhuYTvEq5L uCfhoIR/El5J+CXhlsRPEF9BPAXxEMRLEB9B+CbhnYRzEr5JeCfhnMRDEC9B fAThyIQrE55MeCvhr4S7MnNMBdCX4GZ3ojbW68ze0aiOvgRRJ9Zwoy/B8OUn V1bsiQI7u/d16EsgHm4pif4Gc35pfhAWDgWZww086G9QfvyVEtb/rFs7UQTr gZ59H6nH/eRmwGedO+FdMG21zfKKdRHQJvSoFn0Sbqx5wKCvwolHxTqd7P1F dvfG7GbzkU01EbvRh2Fj9eI1fh5RIKPfJYI+DAXXdsejn4PgyO4AJ/1Q8E// lY9+DsfOi65APwe3q3O2Yd1SfuSfe+jnQDgp4aaElxK+SXgn4Zw+IvoVBuy+ HLut4qLnYBE4Teax3MvG84SfEp5KOCrhnoSDEv7J1aUivYT9u3tXh6/mLo+D cu5v/nNXd4L4+Wc1huw4aVtx84uaxoFqriSz+XAnLD25Kc1HsRl4AuRjt81M BomHh8w1V3VC4uYmM4uFrdB31PWe1Ip40AhqSFJj19fUswnVWPciHhZwAOtg 1nVMLxbb2AFWem9b7EWaobnh6LzEwUhwlZzv99mtE1wTipzi2TjAo39mnu2D TBDuVtK0VWuD0TM3Zw0ptEGFQaftt8d5sHLL/OT1+a2Q2iCyA+vTN5oFrCo5 EA9u5cbOWJ8uvrUqK7+kA7wu56dxi2dBxzxJjenSzWDhMP4W/aB4ZK5Pf9ua AlcjFdahH5QMzw6DiBftwHVn8swr7Zkw0USlMpBdVxPXG9aLPm0H47nXReSs MiB05Qwv9Hda6ez7Zp9kO7w3bVeKr8yDhLXKbl/SWsA2797XAdd2iJoYcKO/ IRNyiot2+ma0QNuJ2B70Qfrl+svCcCwP1o9YeaEP0r7rDZHYZ8HE5IpeXVUK cN8v3JvI7tu5jtMEBtn1enSV42C3wVcw+Mw8mqzcChrbktsjTNrAL1B1BfYj qJbV0tjHPg/h9YTfE25PODXh1oRXE65NODfh24SDEy5OeDjhoYSPEi5K+Czh tYTT/j99Lv7hoYSPEi5KOCzhsoTHEm5LOC7ht4QvE95MODPhy4Q3E85M+Djh 5YSTEz5OeDnh5ISvEd5GOBvheoTzEb5HuB7hfITvES5MODHhw4SfEp5KOCrh toTjEn5L+C/hwYQDE25LOC7ht8T3EP9DvA/xPcT/EO8z2J4YgPWfE1cLFmM9 aKfGjDYT1MH+j38iPop4qOjd+b8d4rtgid6VORdvJYBsXucr9EshHot4LeKz iLcmHpv4a974uQcW7+8EHb8dOrVY53rmp846dt/RFQguQP8Wldxqo/2OCeBt oXoY/VtIN0A6AtIPEL5JeCfhnMSvE99OPDvx2cRvE6+ddcYkFn1UhrSu7EQf laeDJ9BHBU7JVA2jz0mI5u0j6HMi8/KpSdqLfuCwFBjp42xh48LFX0RyGmH9 2c1T/7LjOV0z4vi7djbP9K2dxx3WCNln38xdX8nmrz+S727hbQbbbRL5X782 wa8Nyebr2XHY8/C5tOe8Fqg9+YLn8OZmGMt2PHeNjZeCv2cMBAs1//s5S/SI vTI7znQd/R5dv/eISLunVShI8Fn+tWCf3+vLHnVVm36I2MO14vfiCHD7a+k2 +jwd0scXxKWc7AcLz1K/0AUR7H3HQvnU0mCl2pNlmuz31Z5Sy7FXPBgSUj+E DCnmwN/i5sdrmX7IU3mhg34y6im7lNBP5r1VxHq8P30f+n70vaqOR86qe9QE f5dqfJAPaIShGq5GEfSP+t+40DjR+NB19Ht0vcmF6cvQp0CLn7tbzqABFF6m jLxj4/lAuWGJJTVNEKK4u/n4/kZY8WfZc0X2enof9H7ovdS8nf4DfWhFd0VE oQ+t4t7YsYl9fZAYprdLftsXGMiXWyS9LQeU23hPifL3w2CmtBmXZDLc0NvO lf8xHWQfeV6MX9kPVdb2wqXrvsBb9Xjm3dt0aDpo8XeDdj9YBQoMtv6NA4e1 hkFuC5LBb7eu3n52fEwS7r5Dn1z6uVa2ObDWoB9qe6M+7V75BXgfN8lGFybD FjtlRRzP7Zw5JfbiX2BZJdck3fnJELvH7Okv+/5/74neG72vgdcaYkECyfBz usOkUIEIWLWuuH/5g35Y2Kxgj/O4M3lEEf2N3R1cGJzPNI9pXtN8pnlD84jm T4nMr0r0GTaQPnobfYZDv63Nw+eZ1jO3/uts9rl5+DXRZ5jnouvyobf9/+YZ zTuab/R89Lz0nANcK1LnS0RAgIFYpQiTA8GvbvQKr+6HVsVPKQKeDWC5hEPr 7/1SCPwwdWQ7G2+87uSs2jCvHuQnxQnmWZbCpWnuAVqlnbBZalpNS3YDdPa1 XrdZUgwL5fRanRw7Yd63GMuW7jqocwswbppaDPzzRj/MNeyCH2+vpggVstfr Lo7a8aoECiZP1M6U6QQrKZn6+vc18Co5QfyjcSlwCHAOc3t0gcvQnk0C6+rh 6vDJ8Ycj5VAf8GLdp42dYCH7LJrzWQ1cFHf22N1WDp4TjSbO5egC2S3N+YZ2 NcCp4W547UkpRHFG/l3N3kfV1WUj+j9cCgl4h/4Plw86vJLw74KjG5J8r7Hr IjaQPy9XqwICRB7mWrDx3tNdFgJ92k2gdC5t2ctTFdCwZglnPptfNOy5+lxl YxPkX/+zOsepDHTBS/ENe/3GDNXE1j31ICFssMl4Bnve9AwHBLHjdvW6qc2E zY1wq0b/oIJiMYj22hzB+M1s0mC3oXwT3AuTrc2uKAVeb8mLVt/Y82+SS5BJ dQMU5kocHX1WCr4nglqaf3RA1LWR6RLC7P62JVZ2tn4x6C0Jnv3DswPsZI4/ N31ZAsXRbmNqeQ0w2eP8/Ko1nVBlt2VTWWERDPodmZryuQH8zt/3KgnshEV3 z8yXVyiGY2/qOe3Y5zp5W7Tbk30eqcnqUy+ZNIN/xpcBwfsVUGnVc8GFzcue yWul9O2qA+Hs72ITOIpBocnKfT07nr8mMNLq+2vA50pfwt+WIlhheL1huWA3 uL4b8y0caIDPQtlr/OQrYJ6PxDOeXR3/9gvaP2jfoP2F9hvaZxqNHLTrTzdB wzpN5mp9KagvFgwBNi/rF2YWvZzXDEs5vGVGzxXDtay9oiPs5+Vvas8NmQXD Od6WIu+J5XDGb+yAUVkvpLZlaGOd5LSYY7OUnpYAR9YHeRm1PlggMXo9wrXo 38+TbzqOLFjTC+tcuMPQl5/3fvj8qItFcCxpivrqm73//k3/T5/PfGioYiFU +O/nD7kRu3kdvWB6IFtiWDcYFrVcMnxlXgJ/zB+FqGn1wSLTCgkh1WD47WJp iz7wi9rjLX+E9YF64dkEXYMI2HeAK8AmtATu/R7a0ivXB6UOF9ajv3DSWpFe 9Bv+oj34N529z/Mn7/qPW0TA65IpNyymlsP8rzqOLqm94GgUIIR+/dOUpEbK 2tPhsMYTntnafVDus64/g7MQAk4Uvt9Xnw5n7t+YueV8H1wQqvL9yFUIMwbv TA0PyYKXYs+miLDXF/P4i711zAeTOeeMAmxz4FHfiq8T2c8d5+VMxT4E9NMp vfrBPfs+mO+e0dJ2MAdWP8u0Rb9wQ7kJdzbF9cGlU4ZrjXSLYJdzgIm+bjIs OChxlHd3H9S9HamK+FkAaj5nf6OPeNOTeZKD7Dg8/FLO3cVev63evnp5cDJo 1jkp9+/qA+VomQ2MWRFM8xT8vicwB7hBNH5bTS/I1lzoxj4RqUe+dTdfz4GC dcJb+9lxo3/T/9Pn9H3o+9H3CovRkT/I3jeLSz5Okf07d7KmDuL9zfVjc/xe fYHx4IfWYzzl8NtadMjnWS9IeQ9zqHh/AX3x41l/2PUXsqRB9+fcPrDs3TQN 64FFdq56knuhEnIeSOd+3NoLFeVnTKocgiE2bPUBQ8tKuH5bLUFxXy/kLeM+ zdyIgNz2qwe5N1TBj4TCJWuEeiFtoVOB841g+LD2+5ss1ypw6V/4bhf7uXbT DK67tl9AaqBKvW9/MTRO3SUziX1+vgnGaUOWX+BPyc6G7RpFUFJ26kGvTR9k rCiCzdsioHZC+uHN24rgamt/69K7fXA+WEFH6lgyhC7K8yr+UAJynHOfj/X2 Qu9h6ydF7Hv6wvtQsvR4Ecjvz4sfYMe/YW/eh8rLyVC5VqbwwLxyUH/wwmXw ai/8LXyVifXkx8THPmB9Obf9gMrS9B5Ib+KZMO9RBExsvRC8sLcavgx/s6iL 6Pl33tP5T+c+net0ztP5TucTnVd0TtH5Tec5neMUN1AcQfEDxQcUL1CcQOc9 nf907if+/SUkwM7j2b5DX9D33tdd+SjOZ3uh+e2Oien/fobOmL79x6++f/EN xTsU51DcRnEcxW8U51HcR/Fe7Z33vcbyGXCAO/8w9lPoajmniteXySpa+25g 48LHv7Oxn8L2IuubN7f2/1u3tI5p/dI6p3VP6532BdonaH+o3pbCL3ugCAQ2 SkjaD6aDu39GbfrCvn/rkNYlrUe6jn6Prqf1TOub1jWtf9oPaB8YM0iZJLys Dey849ciL5HN67j5SHQic0nzFId7fCtk+shMRvw8/ta141UDmQxdR79H19N1 9Ht0vYNt2GnkiWy0J6ogT5Sw6VkW9o8WvasQhDyjy/WXccgzbqrlCnmc+p7h F1ZWRZ4o9679G+SJEj9fMu7KeM88P+IhgHyi9j3ZfuQTwzUMP2Hf6ojhGXyo l2hZ5JmIeomUoJ2fZB0LmXfHa3ebRmZADHeuaNj9BmhqaYxy/9QFX/J7arEu 1c1xjvc+7waQupBbef93F3z2D6u+55kBNYYrtgYG1MFmhWJJyavdsMWro6k8 m90HvU40LvCsg20ux6I5YruBp32VMfJBK9fFcY4daoOAimMmOuxzetnXn7K2 zgBrudx7D7fXQqXcuT/J5d2gPn53y/HUZLjfW710w+I6uHtvznwr9nO+Z5Kt uoeyYU3+whXXghrgrzpH5XtPNs+UFnLboZcLQ1xWPULhdTC1WcYxS6oblnlc a5nslAuDZ4/aiJ5oAPfKreKr2Hig3EOwEMRyYWDhSxlhlRo4pX9QYxZ7f3jx qGulRy4UpkUo24c1gHcev0zSka5/z03fg55f6MaOz8c6u+Gspl7Omohy6J7Q WHrufAmjWf0sAnlA0SOn5iMPaNyd0NthXcZ8khyM/E8PpHBFbH93BQjGiXWO WpUw3acL0pDPFWF2RCGfO3rdXv4c+14az3GeQx2L383LcahjCbYQ4ljgVMjs 5jggNTW0Cz4MzdliPFQDLmGt3g/Zv6vwckck6mfm6nIYoX7mz9KVHxStS5iL la+voP7kaNaE/ag/eVJoeUHo/lcmTGksGPUnp6Kz41F/smXaIz5B9u9yMCrf T/R3w9Wd+4ZH7avg/e+E8DD288KdYe9Qt/PFac0i1O3sCnjrd2NbBVN2VuQe 8uZy8/zkkTfPTXHbcZ+dtw2Kj+2Ql1fmv3IUefmLHuYCvPGJzB7tqXzIv9c7 D3ci/25jXmo15XMiM7P1VwPy42tmd9YiP24QKLD5/adEZqXVu9G9db2wUeHo +GzTUpAaiTBdHpPI3BcbcEB+U3k8+DLymy1HYja8+JbJRImXuiMPbrjkpxfy 4Lwvf376+CyfKV8zdgn1AObW+7ejHkCXY98ld/Z6jVUuE5BnF2uMKUaefV/q kUXaPzKZja6Goag3EIk2foh6g1ne8x3NBjOZxLrjN4fiqyDA60Pa94RycOMU +hPGzivZab5pw3xVcMfU7L1wVDkoJ++9rMCuowVzJQZnfa+ETV/t1mxULIWP dsXxOlu6QXXj/Yd+5ZXwec63tuTsIjjto/9hPKYbquv5FmE8utDw0iOMT1eA bwjGpQH2205jnD0WZBKGcXfD7AW1GG9THE9xPcXzlBdRnkT5EcXNFEdT/LxS lt9xakgpcH7cd1bYtgbkpf9MmsB+L8pbKI+h/IW+P40HjYNOc8LRiUalkPBp nY+qTQ1YTZg5FsDmLysc1om8aWX30xeFQQVsPB5jv2dJ69zuf+NC40TjQ+NC 40TjQ+NL403jfOi0tZbknfJ/P6v2zs97zq6HmTEVM/kXl4Lwc/7N0jZs/GlQ 8ep1afe/f9P/0+ez0/NjGowq4YBIvdmc1CLw+/k87hG7P2x6W3Np5sVyuBgs onB5dinwHOoe/VDR/S+/onyL8izKxyg/o7yM8jfK5yiPo/yB8gnKIyh/oHyC 8ojT86Q7MB+LlXrdg/mZdbzweczLKO+iPIzyL8qHKT+mvHjVy+vX5kwqhvup Et+v99aBJ1Ogq8nmv+sGK743HiiFpYMjrspsvrvPQWrXb/cumL6qNrPqbxFw 8r17EcrmW9FWFjf12fdOeS/lwZT/0v5O+z3t87S/035P+7yCh81UPFdE9th2 4jnzsGJkI54vdK7QOUPnixXHjU/otzL9dYDg/PoGcOpRl+1nn/PaeUEX0cl5 UGRuz7+1rBF+yaw5UXyzEzxzb/w6NSMTpL+d3Zf7qxHaGKWKn5md0KX0/aJ9 Yi4YFQZ5lx1pAm4x0feCbL5/Wv+doPWvDDg9LWHjm/wmkHu29lvB6s5/5wqd M3S+0PlB5wmdIwlL0ifdfdQAO15ZZ08zyobjhz95q7PnF51DdC7ReUTnGZ1v dK7Ve+5sWOTfAI5Phw/IRWXA/ZTVimvY+U/nNJ3bdF6/nBak4CiYAnGP1uza 19AIUvo/pmQt6IL84bX7zo0mw1WNb2a3lBvBQPlKwz32+XUnpZY835QC7vav g86ubIakra+fS0p1/pv3tA5o/tdrig/cW1QKkrHPtIZOlkPPFP2l39nPabxo /GjcwKb6v/sq73PXwr+TeOTbW7w/vQ96P/RexF+7bsTn5reLF8XvAS87+fD5 mTt5n+tMmiA/V1n2eH4ufLgtHbRfuvPf+6b3T++d1jOtb1rXs8e+u+FzVynA +vvs96jovc6Fz3+l3Sk7srYBVPgqC73Y+XVq58faMpzn/xsvGj8at5NuWVlY v9fTMji25kkfDKyfqo11fFTvR/V/VPdH9YFUL0h1glMiFi3WzCkA1beTT2F9 8IirtIuGY+G/+mSqV6Y6ZYtlj92wHq/u7++jWJ/Xvry6BuvyqI6R6hqpnpHq A6lekOoEqR6Y6oOpLpjqeKmul+p5Z18I3r/JOBfULqS31yf0QPanI31e29l9 reSbH9YtGzzauxzrmB1W+8mgnmr2DC+npgMFsEBAOB3rgKfK/PokpVnxr46a 6qqpnvpfHfX/6qqpnprqHqkOkuofqU6b6rapXttdba3YW75C2KXWfhvrHYVH T8qycfW/OlKqK6V6UtuWHfFYF5rSL6mKdaICKWJSqMejOlKqK6V6UqrPpHpN qtOk+kmqp6Q6SqqTp7p5qpf/xLnW1M6/AIoP7v/zXx/XeU1DWCc+7S2HM9bP 7zlYX4719EyB0GKso38drbgZ6+eHDza+wnp6h7+H32MdPdVFU5001UdPHzaL wTpq7UsGIlhXPdUp4znWU1M9PNXHU1180OTbNzt/fYUrSnH52Md1ZeXRoBqr Eji/jcMG6+o/tjTzY5395CVjZ7C+nurGqY6c6scjsgKEeAULYG2qYRLWqT9m ildgfTrV+VPdP9X7q2Z2W8w9UA52v+3q094XQfSdRdrhO3ogN8xD12Ri6b+f I9P+Htq3r+ffdfR7dL1B0fIH6Ish4/PcE30y9reYjXA/LgHjx5PeYn/TK+vH g7Gu9+OD/jtYzxs/adnsb+2hIHq4wAb9NmIlS8JOs/P5w7qFrhvkwqDobugE 4+Y+eP1V8Km6cyFs4pBIQp/D19tHxI/cYJ/zovGlDUK9sF3B0Rv9DSNCnzxG v8Pjp2SGRNN7/v2b/p8+p9+n+9F9whWUpXJEa4BvUt6wnGguTHHpq7pd2w3S WZ8m3Z1dA9f3bIgrP5oBOZbD4zrse9jj5qZkt7wGXPmOzDzhkgvFzu9fTmH3 t7HpyjKFv1OhqTLoKtZb749xnIp9QDgdx78/jALgefF4upVJHxiNHr5uZlUE 78r0677nAAgmGdph/beGm91uQSd2/Txd9Wx/AEDk8y1rsJ7bQmuOJdZxv+7g H4k0BLjpv6Yb67ZnzB6Sx3ptqsem+myqyyZfEvIpIX+SLK3kA+hL8uhzwA30 KTli/Pc/f5KPnitOYp9jCx9pO6w7b65YX4f15k0HVFuez/kIRzWWL0bflFWB E7vQL+Xj0fT92I/Zuap9GfqstK1ZpIb+KsRHEj9JvCTxmsRzEr9J/CLxjcQz Up081c1TvTzxlMRbEl9JOgPSHZDegOrzqV6f6vRVZm5LQn1DV92hm6h3UL11 ezPqHEjfQHoH0jmQHoX0KaRLIf0K6VlIx0K6E9KhkP6EdDOkoyH9DOljSC9D OhnS05C+hnQ1pIMhXQzpYUgHQ7oY0sOQ3oX0L6R7IX0D6R1I5yBqvWA4rjIP Tix/H446i1v6XJ6or9hrtrkLdRUXRfnyUWexaGO0OuorSFdBOgvSV5Ceg/Qd pOsg/QTpKUhHQToP0n2Q3oP0GaTXIJ0G6UhIV0J6kn8+Ef/zjSC/CPKhIF8K 8qMgHwrypSA/CvKhIF8K8qMQvTsqcN0jBPQ5zf7zn5hg4mKGvhPkf0F+GOSD cV7uzHH+V0+hTfDuf74Uc8/mPEQ/CvKbIP8J8p0gfwryqyCfCuuvUw+gD8Wo 64t16EsR6yb+Gf0ohtz8RVAn9JU/vxV1Q3s/TlqPeiHS95Deh3Q+WrmN15iy OEhZvqG62qIZtga8ldrAxodJCXfTUFfUl3/wK+qMTt5/+B8/Rfoe0vuQzof0 RqQ/It0R6Y1If0S6owV9Ox4a+hZC4u7wucE17Dm3UVHi1LxeiJKUkdyiUQiV U4s/NG4rh7z4rHdn3vQAR6Jjes6GQqjrVOhPESkFU4X45+bs9dIWre55CoWg IC585WdlCTh7VxwPYc9h2pdpn6b9mfZ32u9pn5da8iDM6zC7zx0p/GkSVwmD Yxkz74r0wMNUfst5ozkw1uAlPOd5JTQlDjVr2/RAz+fKombzQuCeNGQGfVVw PWXpqyr2/ldaLoyJVOVAVWTDnKy15SDpEKO682/Pv/ODzhM6R/aKH9D4uiUD 8vStHhjfq4TwpgGxBGDvv9ul9+XqbOipEulYLV0Ol2yWGjxgz6kFTwNElkln wJGY4HfLf5dDTFx03Hb28023fhmjr+4kmevJZqLlcCI5QT5yay/orUoQco7O gd/f555VzS4Bs+e3JGuteyFYzNroR2EO7EtW0h76WAZXLA8eE2LvQ7wR8UjE HxH/RHwU8VDEqxHPRvwa8WrEsxG/RnwV8VfEWxkYHDNCPuw9Z+5T7I85o2Q8 FHmxB9Kedeqc5ZD5qJDf3+eSygyumAB1Nn55MD1IQ4qNL2y0FzxStU9O4FZ8 YiPIxhdv8hVakP8IsFv0BvtA5iVkSSAPQnwM8TPEy9x5ljwzxbsEfmVlSc2+ 9l5FPcn2yQz27/qPNizZqloEMW0BxcjLRc5bEop8nFvS5bYtW4rAOtuzMErA VYVX6vkuz9d9/3gU4lWIT5GQv+xm+DoZ8tfCutkTaoCrM3zaPVM2fhB8vuPd siLY/6jeUiG/EuzPJaj1sfPnbvgfzXnRweBkdenugVN1kJl/XMaLnYdizIrM nMcJoNr9tOS5QyV4fxvWvcW+r9DAO23Mzy+wPtxY+uDPaugN1DK18e2BJQdN H2r4JkNlYN+2fR6VcKuza/qE3z0gKqz24kXhF1iQl/9yQXQlRC9/ucKCXUfy boZhJnlf4H5Oh/ha20qQaG6fiuvIdlVVdXpsBMw1U+JsO1sH8eL5/to8PXDn ueua3pQIsFtWc/vOmnqIEn43doN9/ks7Vbh3JwYD3NsV/Mm6HhY8G90Zyn7u +/byZp0byVBoObC9f6gC2l8YcC9in38b/wXX6dMyIMi4Pnl9XAnIXxm67Rvd CwH+Cp5neRNBPVyxxdGhDnReSG7TZ/PEs4c62/YsjYOMTY95f9jUwewnBpMM u7tB+cmRWbxi7D5m1xPzNbkOxN2cFKayf5fWCa0bWi+0nml907qmdUvrmNYv rU9ar7ROt7yb2Y/rc7DGXBHX64vJJUdwnX5xiFuJ3/Msn6YEfu9QreFZ+H3p fdD7ofdC65bWMa1f4tWIZyN+jeYTzS+aV4+L//gmsfsjfIKZMex++Tfc8cMZ 9v3qif+2HmXX+YT0BdG57Lp/xT/HcT4+z//2Wdp3ab9t5Qm0C2X3ZYsJY3Lo E96UOd5vxt5HfW+jzBi7z067fJCziN13m4p1jz9l50nht81ntdn9xdP3oZUt u9+sbvt0rprdZ+g90Xuj90XzleYvzVt63/T+6b3TPKN5R/ON5hnNO5pvNF9p /tK8pXVF64zWF/GRxE8SL0nzieYXzSva9+kcoP2fzg86T+gc0d3ZfhnX+Qnh UQ5c9/VvbLVxvRM/Snwp8aRnQi+2pN+oB2Ghz5+iNnAyU0o3cX1mr/foaYw4 aFYHja8vXFS0rFHxdU0u12bPkQnFO+48bauGswopW3juZ6hUcPgtvJnb848n Jt6Y+GKBBa2CL55UQerMsXURBy6pyM4eP6TFfk48NPHSxEcXpYWFVp2phJ2j r7n9FmSpiH/jYEwO9P7js4nfJl6b9hHaV2g/Ib6c+HPizYnnJt6b+G7ioYmX Jj6aeGjipYmPvsOTNaCmwe7bXU91miy/wOS3LXp9bB5G+wvtN7TP0D5I+yLt hwJdOjG4z7rdMniO+67rdzsD3G/bnIsuIi5z68LmTz1fUpma+oYbFpw1TJVP vDjiOEoWF8xvd2Yx+25Lvmkfr2Ys788y3+7XA6F70kd7M1MZh9lp59wqq5gb QfGjiL9w/jU4eJE/m0kP99mUt6qSmfQ8S2LQqBuuv1LzL3NPZXSHopqkbtcz 1e6B2f/150qfsvfw6ywmfGWD/VTfeqbiTUY84hc3OTMEnP0LGIkFVqIZ50uY 11Wy54uKe2DnxtKSaKsCpjvuypPq9jLmq76wDOILwzdDjHt+fWWCCstf1FqV MDLFDTOHbvTAc6MjirUHCpgPb80FVmlWMAoTl4WhD96bV/pnGONc5u7PFREe 2yuYUa2trhh3tsH8x2+9iphj92L1yp0KmfEH+bvlxtm/6zl1ktL5IsYx+8gJ Nq9kIguOPEJ8RI4/asvSJyXMzBqjiO+OhcyHjfsfIw4ikJChL2NZxGyrnq73 zKaESX1hvm7ptF5QWLGVh2ttKZNWfj5V37WQWbEoqAl9hRbdWvd9zqxSZsS/ lFuW/b7nHvWoIz5y8vixuLCdRUyH1m3ez+oVjMwh6X12H7thXvHtwAWCBYxY rD1zaLSaEekySv7D5qVH85gFvwryGf0Nt1Lf3K9nDpY0Lf45uRtu+GXLyzXl M0OnHVeqB9QxvE7KP08NdkGfV+S0Wak5THV8UZbpnXrm7ri4DuJTPo+PLa6c Ucg4RO6+sjc+kZk47PIG8cFDYnp3IoYLmI9vV++0GcxkVlWZxiE+2Nu8Mapd r4DRsYq2tf6cyPjGGEcjjim7y7+x+EoO49TQsay2P5Ox2TpYh/1Gc+WTPmO/ 0ZRV4bEV1wuZAg7jCYjjrIgeUMP+pBK/o2N+suMQo6ScE7imD6JfRerlXMtm nD6necm6FDID8meCEc+KHS6xct6TzVy8/FInw7qEETlTfAVxz5op4/e25xQw IkJd8Zrse3kgO7MW8dPvhZolmoHZjGJd9ANzrWzGV07oDeKYS7iCm03jshmv Hxo1UtGJzNtU17+Iq651qmj78jSbsUiWFmEGMhnJ1AwLxA275h7y4pJLY6TG YhOvHy9kQpznh2H/U4NH5TnY//Qmf/hFuR0VzPN2v8+I0yl8eO5/WCSbuaPY dNyUfY9L7m5e4dXeBSdNbdy8HmcxG66o8JXPa2BAw+pg2c4uEE8/c+HunlRG uK5XzMOlkdHjMjR/PKkLOPOSSjecymK+Z5v3rnduZKzVTs9aKNEJY36qkCCS ylS9VKt/vaiZKVzWYB2p3An1PX/63ytnMX19U/xVnjYx3fyXPFB3vX/NRQHs I+mpkC5pENXArIx+vBL7A4l+uvbH3DGBkfsxq7L/eiNzLGvsGfYBEr8yvNbs VgIzffWXRdgPqLjjr/rC/Z1gqXFfUWZVAlMiKm64HvsH5dY9fiLWCQqm3tUx z1KYX1fzRr3Yz71dN1iqv2Xztj2l1//a5zPHPQorjJwamaol8Mp8byek7Kxb +PpEPiPtumPv4wlNjPivN6t1sI9q34ybc1sLmTPMt7Ld7PeN37P055nFnbCg 1a5DSziV8fljfqSbvX/kRX5nqf1d0HDFr1yR3QeMpjQYSrPzWT10gWFOfSfs qdA7VOBewoycPJg0kd1/zAwNq6ZZd8KRna0Lsd9rpXOZwOn1jUx7XFUM9ntd UsB3F/u9LjthllS5sYHZp90Wh32AlI5tLP/hEcqMTnEOxX5A7aWbd2EfoDNb 5NXr9UOZXcu6F2I/IAdFBZUFn7tBqIpb/LxHFFNk/H3TG/Z5hJz+ZGH/JId6 o8YHe6KYoAM8KdhHySGzodMH+w/pbS/hU4hgFr9Tuol9iE6XRL3F/kCzbcpn vlwUylifGFqNfYKKH2XZIC5zrf6CA/ZF9ZoSHoP9hla9fzL5VGQ3BFebyeS0 lzBNenXScuz+lrRLfDv2G21uneCI/UYL//RLmrD7reBchwrs25Rf/e2GGPs8 UlsmS2L/pvqpwh+wX9GOrHZ17NO6tG0sFfsWdf8enSndkQozjavPbhTtZdoD TB9jn9+kx787PxgCLNrvs32pQS/j+kcg0GFbBYSEh1cjTuu2W2j8fE0vs+yp TQPitDuySk0QD3Swy1Is5O1jqkwvbUU80Gu2rT/ijTWZky3W2vQxulweBog3 nniRNDkwir2/zEtuK5M+5ttNDR/EGy9ITmv7lgOg9zHWd9HLPqZC+G7hXKdC aPV7GAnyaSB4t1ucx5q9T9NHJcTzZ12ovIh4/goxH1fR9j5mosEdV8TzNyrp HkM8/81kIS/z9f3MdY9nYojnG/7S3Io4pKB//xfDK/3Mjk0tvohD9ntd7Uce 5F6VtDW7fzAmLoJGyIMkvHpxSdc0DTzDB2bcUOtnLj0dHXoYkwg9m5X/DPG8 grIy2bSd6n2Ms6B3zWV2HBwGikWjeMJA994vqxzVPmZZmYIz1tG/FRTNcG6P guE7xu7c9r1MUttTq9vqFdDY+rzre3so8Co9msLj18tY3inNObu9AqYnHN/8 cs5H8OSqa1wv38fMXy+v/N2mBH4kNvUiXr1KQdbfQqOPsTzQUYR49fBUzttd Ah9hbqbu2zvafUxvhqUW4vkeriJJvHIfwfuOq49PXh8zUGtohHjpxKcLm/Ov 5EB41A0BuSd9TNjzCLvq/kwIdWB0dwVmw3hIaxm7vzImB795sfsqrONaWKiR UwCZlQMX2P2YcemRMEIeas7b8Mcp17LhjHiKc9CaPkb86pGDyEO9cXOsQx4q 73aaIXvOMLMPvVtiP5gJFSMbh5HnOjgS5c/ux8yUlaPmyHPJqlbuR34qbkdM LHv+MONFjeuRn/qrytmCPMs2sz2G7DnGrClxkkOexTz7+D1b/wKoyrdfcnZb L9MU+vIc8iPWTnwqbnuyIaLGIIo9T5hvq6zeIz8SbGepZSSSDStVbBrY/Zvx mhM96xg7/mvdt99AvuaipwbyNUxmvhogX1M7WFqOvE9mLw9zMqOP2VSgY4i8 T+rVjx+QbxJNDz3KnhvMqfe+v7Ce+k6WoVEBbx9sTN09cjAAmFUD7sm3L5Yw BS+sktEHNam15D327868+5DjlFUR42f00Brx99W7tQ5iP+6SMb+L7Lpg7pte apnm1Q9DL/glqqzTmK3LNm0pEbdQeZ0Y7I+4uU+b9blz59KYjyqWLey8ZQS0 coKX7uyHBXpZrVuKspm2eqsis7bDKu7f1c4jj6Vrv1oacrMZ9y/jO9n5z7Ra rfBeYtAL4pGjfamGwKwcUD/vuq2COXnfRBbx/VZbyZ3Y17vhZ5vYPDZeej8U Fot4+s92rRfYb71CXVu6j41/ajdezMD+6Z/1paOwf7phQ/QaP/Yc3KCVvQrx +oIABQHsw/45S2qxFRtfvbN6i+MI5eN1ghy8hYz5M8VG1KGduM/1FHky65wA wb9aaUyRaSO/4fdMxtwmtcJTrR8e7oy7vNc0jcltO9YfGJPI/Niw9Brydj8e +D5j1z2zad3XJ6iLsy4amt36qw8mcs9q+z23kDGpPxpk33FYZWFrqiDyNdYN FjzGzX3M+g4xDeRrlM1LV57W6IM1D2R7sG/7kgq3D+PnShje6OAf2ap9cIyv 5Bn2na887SjH87iE2a/vHoD+rk+qZ3zCfu46aavVdzoXMoozxZWRt3DOvf4A +8u3JR20tGXjnB6jQQ7kJ4L/6jtin3dNgb0PKtjxTGkwPzfTrxcERYeDmttD mVflZfNOsvv5pqAgzZeuPXA0TeX3zYpyRjXS3gl1X56GwVNQVxboZnh1XUQ5 c67tnD7qyrhB7DbqshxNb0WN21cxN98duoi6rFmpE4tR3/VnYRokXKhiHOHI G9R35Werm4yEdsPlbMFP+t0VjHys0KkxNq5OiDSzQ33amK6s0uWH5czrM3rJ qE+7dszZe4llN2QHPlvVxJQxIa80j05mn7MqTUkJdVCcTddfJfwuZ7jq3cRR BzVaNHVN7ppeeGW67ZW8UilTaHvH7NOzfKZEW3kn6qw6fRQ333IpY1Kjjuqg zsr8Zp0b6qwa7sVekQmpYoz499xBnZVgXsN51IktDRu6I8hXweycW8uLOjHn 0n3cvWk9MDDljNSeL1WMZ6/7ftSDPSpWjhWU7IbvReeERq+XM2KSexrENSqY mlgfKRmdbuA/sWXRhj1VzLSkv9M3svFk3FSZnahb+64xb/rIkirm/rPW9ahb mxd6TjS5vAtexaiIqX0pYbw8wse3ctQwecsP9YZod8GSJM9zGrvLmcwjT3z1 2Pi85ajeIfRB2mnQ4K9ZwsYVmv41Iv2VTLfWhZEqvj44X1e3TeJcKfN6To0c 6jDXL1gdj7o1C4/RE3ympYzye7HNqFubnTw/GXWeK39EBzktqmAuXPf+jfN5 LCWPG3WbD0yNVzrMrWA+ztrwGtdL3FNVddTLbUzJaTr7tZy56uTqg3q5s+aq HqgLHVGrX9jny36fsHf3URearwMb0Vdk6rtrITZLK5g7ybu40FfEkqPw9zEH Nr712Bl8oaCCcXF3+Yy+NB2BWjkrXzdDWN6AScjEr4xxe31RWUo7s9Fs60u/ mBY4tPu915W3xUzMAd4znNptjFgoLPZCv8VDPTP0VnxlYl7onxaJaWO0z05g 1BybQWLI8eIFx2LmnnngQnnzdiZXZ1jpeHsLOK6+Ns1tsIh5LjzNS0OzjTkv PO3wDqtmOLa1++Glka+Mzt7z6xXS2plzPHxp6HMyrrxDwM+6lBnkuvUKfU5m +L1/rHiyGRRSdWI+jhYyb1v3LZ/2p51pVerlQn+euT4XPI5+rWICXd7MQ3+e Gf4p51CXKO4KRZk5VYzvE1t51CX2vFh3CXWDs6vF3nzRKmWatQ3XoG7QKFhZ +VJ8O9hqOCtNtm5llOoTNgdJWKg8yG2ahD4VvjrJD70sW5mMkNK8MnZfXXtk /Efwsg54p6wjXDShlalzVHV4xl7v4XaoCOsNuzgl7nzuaWGizlr9aGKvH5qj Z4D1p3z1FXOXNDYzExdcjljH5k1r9u7mw3rSXmkhgbndzcwO6S+cY915jHPu Tc6QqnZQMzASDXrVzFz+fbT/M5s3DacvG3x9ph1mWB32MD3aykyybf0yyM4H D45dD7DOVLszerbe2xZmx/Dia4vYPEhqsF1Ev7ETtvloy+kl1jBlsXW1p9j1 EuI48zb6tj3Rt90gWV7D3FoUdGZueBlTGDViZizSBVu6nOafrKhmbv5+EGXC 7vPO6mcKL7D34c3ehj4/jN7YinSdCyXMNg7JvyLC7OeBC88kGdYz1QvEtF3Y 9bWlVOIk+r/Jbl3Tf0qwjlEUEjO6yO4/7XF+nejDVu2jdNoys54pzuppco8t ZPq+LtbTYfML4zm2GSlsHG/fm6K5hd3f1qS8LA/k6oQA4wvyTxY2MgffWbwb Y/ft0PAJoeiTJlRkXcBdX89E/5pcz89ez393i1ynVCeoSQXe/PWtkTkSsKBj E7tvbzB/pWXK2QmX/37JALFGJvbOrKN17H3ymn9JGHB0gurfp0YyCxoZpcdz 3Wey+3+ls5v9q6IOUFB86R21rIE51PJuehX7vZYOP3iJvitZcufXbNFqZUqz plSeZPNKMY2dy0R/tcOxXO1NR1RbmNzJn6xC2M8PLX40Z9W1NmiIEv8dI9fK 5AVy8Exk32MZs7kCfVqUkrn8prKfv0gMfoF5aGNalUAG+3khx/CiNKlWZuCu YeUn9vnNLzinol53SY6x+JI/Vcxzf0dx1Ovy71DejXrgOetPPDMaqmHup8u/ Qj3wbxkJEdQPR55+yvlMrJZxYpIL5rPnkeTavInKGZ2w7u1LK3W5cmauTfHq u+O1zJ2kvr9Brzth2b2dip3XS5mFHXLdeWx+YXMqUPNXB5uv7dzi7TS9knk1 aVzJdKyaSfn+fprkn07QSR4RXvGnkjF4ezATcaQ662kKA7s74aXyK0uTBeWM OMOh1Xy3nnn5kcfuwftOeDWh7iJ0VTLVXmPOHJw1zOF5/autIjsg0SXAUOZ1 JfOwVdHJlc3vJPfeinBz6YLby56KyOfUM83blK6gXt0o5PT5L+w+cL1reMXZ 13HMnS83Zxxf3cncHdmaprGqGXa/l/7UXRLHrBsq6M017mSUU0JSYtY1Q+oy zo8ja5KZZYzaND/pTmajq/bd4pIOuP7DnqNneRazat5716nSzUxumPD+sqsd wLV/55qUVfnMhI7Huyykmhmnszffpj1phpBK15c7FkYytiGJpyas7GR2HPmm dcG7BQIWVEj6GUYyK0M79pmadTDm4wHcm++2wKRavpeL58QzSmMzlYQ2djDv V0nr3GprguH1N3ZLuUUwHkHTNBM+/x9d3x3P5Re/bUSiodKwkqwIIUTSOxTh W5QdScrWsJoqhDIrKytlFWWFjIwjW0b2x8r6LFsZRUa/+/ye1/Pf8/x7Xudz f8597nPe53rf9/W+rnGovXiAc/NbCio43ZAfY18FMf0Hp5b/0qGtwtxjrxoZ 7RhL/px0pApkHBmYCnnGQYijPIThKR0ZPnI/kj1cDwVuUTp+dRQQWnPc9jmN jhzDaqcv0+vhRkLt57i3FHgjkTMgmUhHeoLHyFKudZAbFNzhXk0B07bA/QaH 6GiMhbqR2tsMoTNJrGU1RPvVvAaOcjr6wmQpab3WDCbWLhrcPBQ4tjnP396J hi4WthZ6ZVTBnfgxTQEinheYbLZnj6CjQD6H4BP9VcS8LJmXb6UCj3NG0Vch GprZO/HXMKYe6uHRwP3TNHB9VcPXI0hDd79ZTRWY10M8m7tKvC4NlNkXDPD3 8rXoyqRUahVsjj60La2KAhsTbJRfWVPRjb6mkTjnZDgkmv1IuJYOtw1ry3ad oaIRGz6ZHe55oHmYo5KVaE+a1LIIDqAgkz0BW66YJ8P64DXtFJ8x8G9IY71e REYMb0x/GFolA/c2jd1ckuNAKlN6i/1i+bf0B+YEJINwKcxh39jPYSPnvdep SJr30rG54DyQTFPXMuanwy7DLG1mPipq7Ul/ti5ZBmsf3rkHEedXUYD3C+lB Csp7NyJ03aUKXqSTTz2rpsNmnYVE7BdbK6ib1XepDH52JJ/BvrGjlGKn0B00 lJdypCgxoQouy/Bx9qTQ4NTrOobWr1Tkt2nPXNrRDLivHqEjZUuHM0cOz2/g o6HHIe+ur7+qh3PPDAdOnqUB18v84rFiKlp+v+vC1JNm2KffVSxyjgYCws2+ L3Io6HC2Vd+qcT0kXXi3TSKFDn1jytoDFRQUaZi0z/BsM8g1XlkiE/fL57qB B/sr22j6+Bieq4cLGh+tsc+y6di3XEMtMio9wHzmIg/xvxfSLEbaxoC9SZz/ cToFHYhnXTyYXAu3e0/eOU/MA8ueSywdmlR08lfZhyHFNvirbuNlS6wTm2k5 zmpRCvKl+jBkSDQDXXyLcgGBN7aPqX7tMSFwyJ+v7hfWm2D/sldq1K0x4P+s /niD2jj6cdNnIbixDYwfS5Ss+41AYKWYFEsdsU+5d8QKG3XC+t3xJ/efjIAD g1NxcCgdfbptSj8g0AkSPJ4lf6TI4JT/1PHNXzq64eTuaSzbCa9XK5Fq4iiw RdR7c1Lo6LvnLpHLPu1AUl7h4Cf2uz/3YJYL1rEZSNukFtsGtMHGbvVDZHj6 62AtgxINhcW7eCa9aQamydYQ+RYqfNyZmFyqQEMrkzd3TtI6IIf7fMd6LQXO Gp35EnmdhuY5Fb5EzHZA9b7lqOfPKMDBbZj12ZqGNq64TpcJd0ADyw92U2I/ PvCp/C/nJwW9d/Hx1v/cASaNtQEvuWlgYKVzGvukXa+bPFpo1gYjaYJRzKpU 2K36eAXr2UXxu8sl9dHhTcTYW6xrl1K4XIP1KWbIj2QJfAEovKIR61QU0gRL sP5Fz71PvbKZdPhx5eodrIOxYF/8HesjaBg9iyDwC4g0WutinYS12rFvbYxU lOkRfjxZaAyOdjoYYJwzxupJCrpFRfUX01IIfAS0dT5JrN/1r1Y6hcBPiNck cOh2GR2YskTEMI7qbr7BjvUv1F8JxRE4BTxubqIR+ATl2av+vHqVip5xSD/J uEGHylnkinXG5Fz7p7HuxtNvzvtr/Wkw4aw0gfU3rjBd4mA7QkXJile0ifMT rIOD9TH/8xrTDeUvRPuWO5znJb1ocKCveATrjG0iUdmwHkdBk/9B4nwGqz0h c6k/69GXEc4ZtXNU5HXOfI/8ZjrwPP9xEOundazNn8A6szto+RaXBCegwsJy 9IpWD9pWzPWJwEmocrRBhcBNwKtfZ7Unuxu1y+2TxnoTAX8qBgxGxuG0wNcM rDvhZu+29pyjFzkmrMjNj43DMTVpbqe1fmTorTYtudKLRBVHMsVXxuHuKwZ7 rMsq7FehgfUmjPzbuaJzxuG+hTQz1p34nBc7qX+EhHbExrkp143DtfVNfLHr PxD5avd2rDs25K7j55I3BoXeTFex/pg987btNrwk9GfnhRcz58fhvfnLTFrk EAq3YenFerIPNvC8J3ATyORmF2Fd2S4uhX9u9UPIOIb68pLnBIi5ssZhXdw+ x7QcXCfWOvGO75nvBBiySr/C+roet5fXCTyHfjttayTwHXi+rtDFur7bJeJE B6OH0EzCDYobMQ+1Gc8lsA5k8lmn46UXh5BTzbOfwvvGYeXay+5Hmj2Ii4O2 fy/nENI5MsxK56ZDr9TmBUZi/Ea0v1+4u4fRPsnX7CQ9OviU25xY3TmAosZN JgKzh5FH0u79flo0KI92HykJG0LifU+Fq9ZG0JNoo5VNvnQwUYkPeEBcv6+x XaVKZASZhcY6XWEahytn9KaHXTqR1FJiPNZ5nNXS8WaPogPpWnoV5ifnyzc0 H+YdQcJbxm0vMoyDO1uENX6PNxn0JxbrszBXD1pTYAzUvronZ57pQe6feeyw HuXexoGHH7nGIHqVfViemAcHFmm5ft1RpC5bfE9akw7CIbfP3ybWw+8XGnsd tUfQQQOXA/fbqNCu0KZoQtzvgkyAPNa1CVf1XHeao4IuW7YD1rcRKjVtDlga QY/jY5V/n6QCv51W/5OIIbQrnJ9banAYDc0NnpA9T4dtfkpznKv9qHJiuODn gVH03PpR96IJDTyLfzZNEu2yDi+YC4SGUZjM78q09jHgZX0JP4j58b6fmYL1 QB12Zt+MYxsH38iyCqwLukNT/Gel0gjie3pM63zmONCZbg5jfc706It9v3+N oJ2Xr0ZMEOdltP8KDYj9eDg1Ung0eBSJfOXtTSwZg8zPD47i9h8pZfZD0I2e O5MZDtyahFH5U5aMxLxpSlT53okjIe7Q0pbCwEngktBmxDqZNXI/ORn8Sejl i3DXXYcmQVxiUUWamDetgS0ZuL4uZ7/KJ9vxSWDqik11dutEd5O2oB2cXehs 795w/ZtToLClYUmOaNdU9q3DdXQquywfp/lPwbRO9j+sjxofzUrGvh56fVsK BNmnYT3TXQn7egTXim5upneisrrEefu8SeDNDLujSIzTcu9XWbPJHrR7p9au 5ZRJUJ9WW8U6n3/yD8ThOroQzRnlq3WTsJJ0Mw3rOb8YUH6I6+7uFkxbHtaf hNVvr7WwfjWLk/JTXEe34vZC3352Evzj5anJxHhyrv3wxnVoH7atPpP9bxr0 nVXtsT6t0OGazS5tJJQYW8ZJ5P3QqD0whfVpEz9LR+A6NGUxx8EUxmmQ2U6+ hvVv5y4nWOP6OglGXmeTi9OgtKWLZXtZBTJjFG7B9aIuXu6R/+5OQ1ywmSvW p+XPOltf19iH5M6y5RH5MYjLlMdjndt3EfGruF50c9th/B4Cmq/ZnsDvP71z 3/Abl/QhfrW0rqmaKdDwFxrBurUjl/7O4Xq5uwpbWEKcpsCr4KEJ1qetYyxV UT7ehXRmJTc3yk3DQParEyXvWpDT32ZWXDdo9+S/+e1hE7D+St4L635TllNS sJ54F59/NWvKBEyXUwKwrnhfnNIzXJcoYuv6ich74Lxe4Sasj83u/tI8WeQH +isnSybyGzATb/HEvlQfyph1aH5daFzsTnzCRyJ+Ds/NEPkLqp61WsS61evj irUpxpMwm6StjfWr1fSf6GEdbYHn/iapehPg9NdYDutpvzHP5DpaQvT34jvc QJqAWIVN9vIMA8hMRlsd61kH2sqlNA2NA3p0Zx7rgvZ3njERSiEhXq+QwXcZ ZMg6bnVWBest2zFYaor2oNkvvw/9J0yFdx1Oy7uqKShpN5n2OK0HsSfcss0v JsP+oXvTsQTuPJzOGB2h3Y3snr5O8d9MhaqNT/crXaai3ft/qtw50I1a12/9 /UPg7+DTb8WbiOsvHGO2fDHcg/L5hMavT1Lgd+Vgel4tBdUExhqNWnejx46J CU8SqGCrmKyaS/xvQt9ySeh0D7qyLklXlqHCSkGFWLgnBQXZz740HulHp0qO qIoP0UAu7UAG+Iyg9QcMOwNVetHDX60rvp9pEPuqo9IsexRRNfb+TnLsRRUR Vi9Hwuiw6Z3Icv+TEXSm5wYj1m382ZLxhGw9BqV6V06aE/Nfcea4zs7wXmRq 9jW1QHcM5lscq7B+pngG5zDW797N1ex/f5gGf02nirGOd5YwV0CZ6gBa6DXs 7F+hQzZtqvAucX59qZrINwzpRsVqpmNnQmhg5cDBaZBPRg+8Ln17NtuB3gef 2R9ynQZhT/tG4p5RkJ39r2ZuegfSDrSLTVegwb3R1pWNdRQUmJahN8/cg3yl 8hi3J9HAeyL7zeohMmJyfflvNbEb3R0YePl5lQbP/gOHJuzfSnv6bkm0Fz3X k6z5qk+DbQHp8kzSZPTus942P6x/3d/O8PYnBaTETmhEctNQrrAqu2NmB/pa e8brVTGRt1BTbzATuC3UYPdlnrP96Apvw8pCHxl0Jr3W67ZS0f3BnMV58340 cUbnM5swBQQPJMRyEM/rI8m++mR8P7pJFyTVGlHhq7ONUakrGanuzjmE9cFb Poc+T39JBZs9b9seEuMUYTl45CjnAEpv2M80RCUDz73M2q4qCtKT0bo3rTaA jEIKP61epoKL8L8j/kT/6Lyb6Rwsg0hIa3XBmpkCJKcGu3MLZPQncAPnnNQg Ei/s/MiZTwGGuq4HXyTJ6EtllvuLhX4kotL7dKKHBvYnmhdKiXXSs+eZelLN IBq2H+s/ykUHOwbhmZ0TQ2h2n2fx6eZBtPf5Q2FpGToIWZr4iBLnXcCmu5wv Lg8ipb2wJfEJFcrtTRbYpEfR4ELQGtZD7wwRYXy3gQYNf7Z0Yl30zdatals9 KMjcW3wk6AoNFLwrH2J9tj8fgvjCY8iotz0xLVKRBvN6cdexTp2AScg/WToF na6eWDu1RIHIO2qdEVin+iH5eh/Rf+d+0jV5GRqwsnse/K7dg97Za0c94aQi qbDO5w++U+EHs/Q1SeL6U2MTG7F+XKzSXqZeJjo01TscxTpyXZwnI5/7jaIV upGeNCsNBN9yZvUTuG53Gjl8OIyMBpO2SUYR41mR3fbsL/b7kNtfP3yDjLS8 7xvZKlNBgWRZMUX0D1ujmmB96tO6rX7Hc+mwp0T810Pi+lKPG5T05Elo87pA jZXwGBQ123IdJubZ5eCloMN93ej6WLyahMAYfLG8a9H3bgSR0wuvSQ51o6Xv r0TfKI0BR99xVhWiP1PJyMBl2U60KH/9R/RfIn/zn0vWSBxFm4x/Ou4W6ET9 SZ2vIkPpoKiuyv9TiowiwqJJuYtk9D3Mr+7DFwo0vdQKMV3vR6+vvoxzNiKj c7GPa63fUODCu7fBEQT+5Je943+ifhTxp4sHLAVQQPtYbeA1Yp+uGoUqG5Mp qGzMtNuUTAE+fTarW3E9qGixJRTr2wZLdKP12jHY5LbU85h4vsPT3GxYb1q8 fTwqLXYcvOm3T2Ldafucf3siziejYS+pne7E9XWTeSwrfMbQ2IaDvL3TSehE 18cBzwIyjIfe+zorNY4kXvgciwxIRgci3jfZLFPBt0owdvYYHTX6Fy9quCWj 5tvRXuQrVDgv9SS3opaO/p690ul6IQ8t3iwalAqlwBUPY9KI3RiyfJ35d8Ax D9Fabg74RJJh72mnlS6ZcfRFsSPYKjQPrTucVVdep4J6vR5DFD8dmTUqukq6 5KFt+vN7Tp2hguDXp+W0GjraorndLON6NSo7yGXd+53A1dp7HEzyh5Ezl9JD j+fl6MT743JeZRNwdILfBNehtP9QGJt4Vo0SlcWYZswnYWMpbeYEsV/eriXT QprLEU9q6gHTl5PAFiXUd4mIqya6tttwnYWx4CGbkJwJED9W5I3rLBYyRU6Z eJej4A20E8VeE/DjcxSa9BtBLVf87h8i+l84E3r2ePoE+O7d5/6QmP+rb39v 65csR7KXCzz3m45Dy+3eUXkiPqjr2Gof3JeP7lcVf8l6PA7mfLeX/Yh2ZW++ M+nvqtBiahd7msg4eNQlnce61nJKq9F+gtVoUdU+S0JiHJxFZa7F85PR0+eh 1ab7qpFV1dV/TgLjcPVCd/wM0b/jDk8M1hk0MFA706kzAd0i57dgvcEZ1XJ9 dLEUDR1Ryv2gSIbLovJN/SbjyKI4aF64LQ+pr59j0bQkA9uJ7/YSF8dRQsLv P5E9pYi/vCvroCMZXKueRGtIj6MVc4mDXg5VKGBypczwLQWiFgUqson8/1y/ RvGVLWWo+zlv3uNICryRn6r4e2wM7fTwch1yrULLzvr1fIMUYHnEM+dbTUfH mMKFFsTKkO54h0siHxU04wJK9xDPV8c6hOvAtkokufrz1rwSGXYY6x9+RPxv +OM//qmnq1Cs5FDhvuNkKBw0ufWBfxxJpp6vjnjTgNj23bsTSJ8A98PfuLD+ Ie+WYwmWjg1IpJLlXOwGYj3sCJFRJZ4Ld8eVx6YfG5BNucvyyq5JUJjiuM2G z9MCG3Zc76A/52GbT8SfgLOjdrjegaftjZwWUxK63e7s8/r4KCy559frn55A FiPPrdUTqpDks0Cu8h004N1yozorhYZWK2yltlQ3op3HL/2xX5iAB51blJzD h9DE/j3vcR1fC2dr8y+WSTiRsOCN6/jeyol4931vQZv6P9szlk8Av9/e/rev htBmo1EqrgO9MOxXM1Q+BXEOBnYhRNzjlK295sr1DRlrsH/izpkCo7Ocibiu k33O+OrmPd9RjlL3c6/PkxBLGyk0JnCXEmiJ4fpTmuef9ZebpuDJS6dVKhF/ 9N7MGOG6UfbNAa2LQVOQ0mkfgetG9TlojrjOUXzmipWvyDRUroj+xnWOTO1e SrjO8RhP8Fn59SkouKvCj3kRNl18Qbg+RXPmo7jYo2lIlZAcxvUpToxnm3Cd Y7d0ZRFlcQrcrieScZ1jtm3EI1zH+voy96GOjinQ/ae9H+eJ9E/+ArP11YhL x+mrVsQUnORv5Agk8vf3xudLZkqqkW3bkxrts1MQ29S+dIPI3++FW+ji+iy1 SQ7l8OwJQMG7GcWxnvnCE01F/RSkLLtDT47YjyF17zVIRDyXtpjX8DJMQQ5b LnMKfZ0A9g0JjW5EPFc1bAgX2ZeC9nh3qqi/GgeLdcfXtViXTOqlPK6r4quJ 0ecrnAS52o8iuK7KSlCqsiEgBT3m4bd+2zwJAX6STQlE/pjzXfAervc0ONyo xz06BYliGvPv73Yik2qWHe912lHfUst32sEp4Ai5qVKkReSJDPn1pv81o+Ql nxvrFRQIyePX6iXiqrzZ40QW03rUeorbVT6HAvk9kdEOKXQ0fnI10+1JM9q8 krVhvZgKh+du/uY5R0MHBmt/y0XXoxneZP5dfET+nhegKHWWho7beVn+S6xF 1IIhha50CshtYjbeS+yvIebQg7fO1aNFTk2LsWAKBDFGWpRU0ZGYyFCZrEA9 8rUbfR12hgzthlHcb1rHEJvHgITZwTbU8DSw8kYXBR4mUmVVimmIJVdm982j bcg+5ozDQ00qDNQ3e8UT+LlxNvNT9KFmxHTLYB+LKAWS4g7+Pk3sdyP+OhVR hmY0PcNSvWRCBhXdE28u3hpD47PfeRMW2pHqBpeHQKdALrfwkiNxncnWSYcm 4Q5UzHKJ7bM1DdS37rMzIvDb+kzPhQWzNqSwYy5v7BwNXJ89HdimSkX5SHJ7 kzmRJ1mJVNUI0qAvm4MxU5eGBAfunFLJqEJCc5s/WDrRQLGkhUUK43yuaDOs B3SR5b3jkZfTUNZCe4v9I75WK89hPZQ/f62FTQanwSxDUx77PqhsiavDekAa H5oV+nfOwNSHq0exf4TtPTX8vRMFPrjnS/WbBqmQfkXsB9ERW9PxcEMb2udz c33iAxlmH+nnkol5fpGuIvN3pRXd1o9RKHEgw8fc2FNVRPxkpWtU7fzbhkSc LMuXXckw+FWlqZiYt/HggYh/Xh1IdXBaNcibwJ9hm0V3ONFRouyJ6SK7FqT9 HMU6Go/DAZfWy28YR9Gz5z97ClQb0N2ZXxnZquNgezFLCeOT5zEHkzKlWhDr DsbP/Q/GgO1yYLgdgT/5LGstcB1l7M1LW793jkHx150r7AQOFzCMfD3d1obc 3LVaODzGQSZBsgXrk5M47q7KEfu6olpR/LDpBNBllFbFiX2xtcsOybnWodJt bbIiiXT4biWsgOv4/vPVqHah1yPOtO0jRWl0aFTsX4l8S0HpVd62K8P1aFqz OIzuT+CoT/5DcUQecWeleD2HWoX23BgbKeiiw0rJQ6OPBN4m7WMmD/dVoact HsIcEXRIu7F1axWB8y/r5stifdtgs5ssWpnjILBp84wFsa8drhSms1BbUbtq tZCx4zj83rdV8ywRH55kjm1/0diGNjBKSrKpjUOHQlHKEnGOL5QoyBjGtqHr SSWJdpxjsCL/bJsuEQdoUS8Osb9tRkOiXlKjR2lw3uLflE4LFf3VSBe75tOO hhb3sHBQ6JB7qT3jADGf5wwCJ+zWmlFlJ5f8vzI6KJy4/EqMh4LMfFP7Knqb kUuU45zhITo8nm85UV5DQbxu7ndCY+qRWPmcbIYQDT7xJuoEn6YhaiX1Y5p3 C5KqEbRI92wEgdkAYNabAR7NfF2+ra3Ionfnwj+/RmgUej86fWQG3NmrSXls rYirb/+GuuQGmL/9alWA6P/Ac9QZ63zdDl/L6qHXgt6M9jQn0W6TxzVofKEd uRou7bp6oRJU5Sc8t52fAfWaOLecxe9oRnR19pxGJciqD0XMp85AyCUf93qm VrSmq7XJYqgWqJxN9WpuM6D3WSVzkrjOljXnZIGkShCxO3B69uwM1LMfKi1u rUQTI/kKGuIlUGQacUnj7iy0a0e9NOCpRPH7Axlvi5XAvqjnn5YezcIaeXQI 67O9KXj2cflfKVD6TrKZEv2T3A9skL7UjhxDP2U+W6iFf7ZHu2r5ZsDwU80d Fft2xHzKdI91fCPsLk14rTkwDedunbbOu92OYrhj6nvFWkHkEVuHdOg0VMfl /HXgbkVPvm4pvMXdCm9OzMruHZsGr+m74iN+jUhm4aqO+NZWGInyHsfzuZqR Wx3p2YguKJF3Vnu3ANJwT2Ii5m2HYmpfpn87ipjW86nxb4fP5x/zcctNg2D/ tyqsC3n9+U6+rNvtwLb8SE6G+N871Sw3Riwb0XOZqSDh77Xg90rywMlSYvzU jRucbjYiocaxPuubjVDr8Xsu6tEMfKUVVGIduW970lu8FSrB/PZ3xQ0zM+Dz Pf8J1pHbr6jz/TFvEjx6/OcEns8JSu//6iZ/j1iqUiTaCxrRuYJ7s/B8Vf3Y DaJ9o0lLh4FrChyK+mOB+wvM6DTtOF2DWo86DRXx5oJbGde6LtF/U9a1jpX3 tcjeiYmZaX8ufEtuyK5ymIXyf84qWLe2Ukw4tWRHElzocHesSZuFraTNVsvH GpFANzPHcbEkiAjreKYAsxDvwZ9yABpRWqvw3e0SufA6QGBp3+FZeDscaZyd WYvelflZflcsAff731iP6c0CaGrd/P65FhnwHd60JlEJ/66rt5aJz8K2tgV9 rNu7jxz4tuRAJcxqgMMPs1lwe5vtnbCrEs1sXfgduCsXLpsX8onFzMJM9Kdm Sc1GZMnQelFdswTuOB7QFeaahdeb9j7tVixBFQ734j9k1sJJ42xh/L8HFbVs lwRyUULr1qMsabVAOvjGDN8vd3DRPkPxEkRRyFzMbK2EHsaecDxvNddVZpJ5 c9Ho4pMrXKdr4KasOP9/xLydo3x/K6dZgjptLp9R0myEXWwHR4SI/x0zbjnB K5GLmFL2vSTmA16tXhnF86D3UEDcW6wEWZ0ut9bjqYQTEf9n/RvxVwek7spF m6rUOF/sqgTDRKFr+L6GmMtsaP9KkVAZ19dQ3kooGlzYhvdFvLeH96ZDlSjT xs6w9nMtzDPz1uJ5a9ts9AnrDxbEHxsw1G+ECzvOFzIT6+eMjbNwsGsKOies 9c42qRbaSyOf4/tanEkvxvrbTps/U3YS7XsjPPXx+mFPsgnGeoWHzNdUlStr obZy6ync/+p0lK6pWBLqLhawHz/WCNO5nCaKxHO3d6gswrrGJgoyBjU7KoGR hk7gdaLT3CfyuKIWWVhCu39FLRztjJeeX5oB7WhtlYzkBqRyxLi9nK0VBMPt 53G88r4I1lg/1Lp01GbGshEO3dATx/vlvJwIg3l8I2r7kGRE7HvYk1jPoUXs d86M15fNhmqRMMsNKmJqhVHNNjYNIi4ZNbJakOi16M398Ksrm9qAq/1tH457 iJuWejCpEskFXOIYu9AOOh+23cPxqsyu/K6yRiXaL93LXrH4HYq6bC/huBc1 csdA/0IlYrn+5a4p0V+G+fQCjpNCCSYe9xZqUQ77itGxS+2QJ8ecVUPEpTtd 1UbTph2IvWhC4YVnCVAOONtvIP7Xs+PIaLttO7LSP5g4TsTb19GCSj+J/628 l1SxnN6JGvfa3LYJKYFdsZW8i7uJ9uQ43++fOhHfh2o1FZtKIH8PrV2bngZ3 p/tVp3Tb0dunrlumb5XABr5bF2fuzoD/qzUKrreNUHd6sHIhF4671YnXnZsB 9uDL70CzHW23f7tLTzMXKodE2YQiZ6BlO+35rY0k5POWO8veORfebGYqeFI9 DdPTN6/cTulE56Eo4IxZLhzWmSzF8VDXP+oe41YSEuJz87X4UAIKPRYML99N g2vU2qjpXhISLxccmrtXCY8MjzxeeDANlhFXeci/e5CtVd++00GVYEuv3bOf exo6jIqGDiyT0DabiZ2y0nVw+VNlxxmivVHF66GDMAnZqypGWgjXwdS+H4/y Tk3DtirgF5EmoWDgJVcc/gYy87XysUT/FP/jIs5RvegFJf/kknodnNHYWlSE puBW0WvJre97EYPVLYkdq40g8oJH4vzdKbjPzDPcrkBCOY/cYmd7G2G/97yB 7r8p0Nc5ac3JOIDqzwbkR36shMNlXq3h16bA+ZxIsF5AL9qjMMP6MqwSPITm //xbmgJuKzHDkO0D6Gj7dl2Za3XA5fxY/xyB630Of71TLjyATr7YraMr3ARj rIavwn9MQs6D31bN7r1Ic/ulTbZPciE36f7GAuK+vt4GIxnPXhQ8+VjxSHMJ ZL6v/pZC5Ft8dtfPZj3uRZuuqIy/e1MOYgLHn4QS96szYLjKpNyH7Hnofx4H 5UJkkuuUHNFutrO8akdRLwr6cPd+Y2sJGObPxF7fOw02LdE2Fxf70XaR3F3Z CyWgxbz72YOwKTCcUMlMd+pERwdiWcYvJEFQ4MWG08Q68XvknamS2In+zP9t zTNOgvuj7Hwyp2eAi4uPpq7Rjr5PvjwOGklwK7W4FO+Lbwx9rM+ZSahJeF+f mUMSpAydol7sngbTLSlVJ/k60C1rOQetoHbIHJo/rkqMs5VVxAvrtPScWSlr jyXOzUmlWyK1U1B0//qNdwOdSHg7ScUwrBX+LZ3QdSTGb1aRtkvBohcd/nzy 7onqdvhi7sLjS5qE/s6TxaKXSIjipRLTldMOEQIJpunaRF67SenwqgcJcb4P tSvk7AI36+RHfT2TwP3p4Ppqbyeq/1ww+/VoKxTzVn1MJuZ516Wdh8oEu9Cr rLcJdcqtcO1I+G08b1ubbM/3a5LQmUUBLVPdVihP/tflnDEFA0kDU7ju9cdQ NateUSOI+VpuHPSYhqv03YVYZyadu+yZPF8HqOYLbVUh7tfvMhqz3N6FlH/1 tSV7kCB595brzcR4/h6W4+vOaUcFvdyDWy+RwLaIQSaLGL+PYaWDWXU7UrcV PDVu3gvByyMdL4j75esvqLvF3IVc1Nyo55m7gNf3WpmJyRR4R7JIdsa2I+/t DQPqM53wRCb9ghAxn7/Dju9Z4e9CfR4SEo4OJNjJnBe7SvyvcIyks70jCSWD +adWvi5IeGNc/I9oN7XayG1R2ose3Wa1T7dqhc2fNriECU6B1nVbbbmWXrR5 eIGlRKgd7FRvX5smxmMyVB/363M3erh1jGNHWyN0DDfc30vcLze6ba5c2omy NIX3sLHXgS3MJ4YVTcOt2N5D4zN9KLTdn2GXcytkPbyh30Bchyn1+Y+zogMo pX+WY4dfE4j99yFnI9GebHpyK+YzdB+KfIP5DDIbxeQx39KRh20/5htMqFA0 MN/A0YNFEPMAC9s1ZjDPYVxogzfmOUQeym3EvE3KneR+zEPQkHVmxjwEPQZv XcwnvLlHmi3hAxnZnO9Ww7yO/empHEW+rRAUuaMT8zoYnjmoY15HvJDNJcwX VU60LsK8jrQhp27M6/ATt3yF+aWsj0yYaiWpqDX0qCLmUWiLqLMXPmmF5Gax HZhH8SQrWh/zKDZzNrD427bCphr9TswDWT3YEYN5IN+95hcxfzXiaOow5nvU VVVnYb7HtxfCWZgHe3kbkwfmXejm6rzAvAsmYRUTzG+MjM6+id/bf+Qw2xl8 hQbiLyInpNw74bWBz1783n5f/tYU/N7eNPd+kMmRHjjKeEsEv2/3SnokjN+3 l3CFSVx2I/rH/XcIvyffOjB/Fr8n//ZjT8xjoj3M/tNG/L5dMWUxGF+n9LF4 2PqZHphq7fiJ3/Orc3Mu4/f8bKlS1xq1e2DP54v7fTmpyCW8YZ/ndyq8EElv ECPG47rtcQD+XqCx1fMp/l7AXr17Q7RmDxxbvbqj93EScjtV9OHWrV7Ylug/ rmAyDUGFi65+QUmI4tL6X7V/H5CMcmjniHUlortns+W2CtR46UJt/uNBWHYr W9Ik1m0Sz98M/gOlSODI/GWhe4PwcX530dnJSZDv9OvbKlKKfg/FBPVUDoKw gagxC7GuXiQwjZh9rERihqR5HsYB4NJo+IDjfFZVX776YgkySqIlKyz2Q7af 1CkfIk7GiKkuW1dXIuXdDVq3BQbhJcrOu0Jcp4V5YPeLJ7nI7UpvcIV7L5wL lrArIuJ5tPd1pBSUi7YnZ8vvUu6DZwaiTw8T43f3rdo1EpuEXM6/4z071g+K bA/N8T7dpjJMxToaR9M3BkUwk0BjesMOHD/Tor6pdX3JRSmHbJOpNwfhdc7O YL0tU/Bd59gPvqIkdGD8GaO1I3FfOpdWAol96rHBNUq2OhedP382sk5uCPwv HcrzJMZ5SrfP3agiCbGdaOds9BgCsYf3fBKI9sF7x6U2J+QivaJ9pYLT/RDy gPHcj9wpUBf+UIH5HjI3HerYfelwNHw5+TbxvO5vFnLGfI/zdttzMd+Dx//W HOb3DnK91sd8jz+8IQKY78EbXqmN644XgsNtMN8jOz62xYxhHP71riVg3q+N ZZ0q5nVERw1oYV4H+nPDTdG1E7RtynwxD6T+vpAG5oFop1yzyiLWm87Rd2TM ozhW09KIeRQsGV8kMD/Z5zINYb4Ec6jmTcyXUAw7d1yN2Hd8zVfKML8itNx3 RT+TyOu/eQdhnvP/h9cBV5zfqEzvGEWtRSqtjnNU4OusN1qz/AHPIrx/7+0e RpaJYX+79OgQ27X7NSPXAHho58VjHsgL6RMFmAeyXa3+zhRxncLmI7swTyPi Xkw15mnYBNz/A8R4uOyNv2Fe0CEpaizmBd3gdhbaRYxnab/LDObzHFThf+Y+ QszPQ5dizPeuZVbRLLk4hKaj9A9hPs/JgqZTT4j5v2rWqoZ5JtoM+QfS28eg usd1Rz/RXtgxZB7qN4oEnPL6JFmJOPND3Yu81g8Dshtf4O9io6MKe/F3Mb6W pV0zRHvOg08yA7qjyN3kQdlhTTocjz1w/4ZuD8iRd045GZHRle16HPg7lJcZ zSB6/Qeo/z14BX+3UlHy+w9/t7pSc03XfL0fmoYjLfB3qNk7Vsv4O1TOF1HX m3E90Byt0Yfr7WXfb/52rLQTmu6ZHcHx37VNOfegTSUyUrdd6PjUCT8jUBHG sWfvMGW0EriabqAZ1WXbDmM3/SowHtY0WWuyFa5DB200HKyFSeAZ03E1n9hf CnM/bbrvVaI9v70MzPaSIDXnnf8igTN/2CjH+hY1onc60e81v3VC0FfPJwPE uXyB4e+tmMPf0CM5dqUz0iRg19t0M5LYj3Ua0nmU1kbUYf5KYf5zN+glOgzz EO1n5RK8ZPoaUbd9zN5PCiSoF1+XOUfgw9b7V+uo6nXomdNOzrNRvbD5v7KX FQTOjOWcdjkdVokOG3C5WgX0wpjT5GmMD81HTO8LS9ehWIbSUxuXSXDSZFRI j7g+Q4XcAa2gSjQ/RdMgcDFk5pj+FSDax3fwfm28WocGcpply7YPAHcHY5wW gScZ9fL6dq82IpYY1XiG970g7hI8Y0Dg2Hi+qVcKwk3orc/IpyDhAVAa/lKX SOBMuYVX7nZhrSikp2F7yEAn/L5nw+NM4BnjdcZZFV38/r7Rd12TwBsP1wod CDyzNim0hcA9iMN6TrxSsAucVN8l4f53gzKOfjvaiiaCXfx/9XbCXqXxlxiX zi68eVAk1I6S3Ur9e5p7QeHOtVgmIg43RYtffWLVilZst2+KKe0FtenITTgu 0Y/ce73k1IoMV6qO8c72AfPkj2tfifjD+cyH5ZhvE6pYLDl0T3QAkj4PhLET 7Q9OjjNZNJcgzwBOIXnPXmiYPX4R47Rri5t2JbSWIKrrshFPUS9c23YkHo+T 5Z0DWd8sFzm96a9xT+kErsj5GZynHKtk1LhhnITsesQfaiR2QuPKvV/SBI4t 1Pmk6eSciziaHm2y20gCq1/ST/2IfOfsotERrE90oKC5Z21DJ8SfSZLCedMD r/u5vy8kIY5oSaE0p05IMb3DrEm0NzwTLex8U45cfql1pj7uhazXsa+fE89x KUZOM/ZDCVqS75Nf3kKC31ZGn3F+5Nhut75XIwlx8z+fInA0vLMIacf4uVvv 7jfQzEWexvcOa2i2Q5zS49QDRF527cUbPZWQEnRTb7PwWnonfOJUFsT54PTQ Xw6sc8TK8btlwrQDLsX/6MB5Zaj817UHIk2opPO1rt6JAeBng/1sxHxSubm+ e3vUIaHr7v+Mz/yAX+M6lzqJdlm64enlW8R8HmrUOKlL5LPGWv04f6Qw0nif 7aSit4ONfg/9hqFLWtjlpO8InNyoOB1VQEWXZv1fZMUOg1hg7gmn5GEwPpuf uymWiqzPDTilfhwCuz1fqMk+I1CsqqizfJKK7MlbhZ4ujYC19L4M74gh0Gne uxh5lYL2TQnOCJNGQKeGuSZy4wjMefZkebRR0bwk73sn7RF4fbKE1+rlEMzK /uKNN6SgXMHdJ+RujYABTa/6GnF9iXpmRvZ8CuJ92XFmXmoQejUSj3yVJMPv /uHgj0+oKJe/Kdf/8iCc65V3YZAehZ0fX61elKWgjm2vOffaD0NCRZC3euIo NJh+fcC7j4LMA26Z3Swdgi9LFlY+h8jw6QprWfIGGnp4mO2pG4E3Brkq83Y/ GQGW7rC9flo0lP00+2hA9jAkbnoUgsKGQHrfFyFlLjpyFrPoT6wZBN4Tl15z TgzBDnvFjAluOpJL8ju9l3MIRHm7hP68GILJnvGkwOFJiPcWWytnzYfkpQb+ OpYhuNO2vhX7OJP1l+6ccqdBm4MeqfSp7YkB18ccWB8/8nG40dplGtiZLoti nXz/kR+1qwEU1Da80qFSPwq1+3dNX44cAva3glpmzBR0t+bfz6UNg+CldFns 8gIZPMycR2v1acjH2dvll2gvBH44kbAuRYaFpbceH19S0evqWnH39H5ILYpp ukvMQ5/or0daMlSU4nSs/9p0D/j7L3a99KRATZhU63cjKtqw4NcuF98Pf228 bxW6kkGcV+L9lUkKUlLaP/luuAfcQ/TVimspkFFNNWQVpqCYzs9Xdlj0Q1rz HTJzNQVsNxzoYrUicLKpJIyrDYDfbLO7J/G/Fk8rssg9NPRypt43ZaEfDrw6 OVpGPPfpVyspj4dpyGgtjnGYwGkV8XlhWB9ge1Zg7F8eCpqKE80xPdANxmN7 rdpwHZyj2NXjsWRUlWzKarulG3ySFvRtqmjwRPztAvab/l1vM6zZPAid9O9b 9xPr7Vb896KHGWTkU9ynp5hCgnQhrYiLxHXCj4T0MHwho74wMjdfWg+Mm246 67pMhcPioof/9JFR4ofG5G1n+yHlQLVNw1YqDDlLv2yhklG2UtNeGc4BWGCQ maFXUWB/tL2AxPdRNHLY/5bqvzrYvnwnkv3wOCQWl19avjyKdh+w+PGT3AQn q7VHJ6TH4fnxGgOR3yNIc/1kzUFKHdRJBV4XaR6HK1OWO+c3jKIE2qqeBEsT KH4T4Z54PA6tLLvOO4mTURYPX/FJuSp4ub9vbJDARwfMZ58BeQTZdwtG8XFW Qa/t9wxBngkQzmiMevSdiowYLVO9OanQKvXlHsbteaL3atSXiPyCdUTpCJ0C 3j9ktTFu30K5/3v+B4FD1vad9y2rAyMSh0xjwATY17R2+UQPo5E0z2/Tn+qg vVv0686CCbikN7FskjCMXu7T6LC1+AZfhMIlTQMnYOe8YsF1+2G0f73J+cO9 JjB4PCz56xnRXrgCv1OG0dRohmp5QBPcUGX/vdl6AvSrRR2sQoZRLq3ogOxE JbAu7mx8vzwBXYrXZtsDBlFUlMX7qcZKSIMirk1fJkGls1mNJ24QPYlh6s8N rIO0dsZo1geTEBEV/YWiOoIedVmthq9VQpj3VdcLxPj/XtBTxL7pbhfS9Yj9 B4WxbnzYPz1l1bgK+6w37lqPJfYfZPf0y+F9J7j07AH2H9nInfOFX4gG/B/6 3LH/iP9hp9PYfyST4lH0tIwKPI0amdh/JNxq9RD2KQn5fWgr8TtQ3iZ4+f/h bwL/169EMeJ8H/YPLW19K0TkW+DT7Fb1jcizCg0Z/8M+oR13jQqJPA9c/lNt Mibyu80eNMkIov2yGiSOhJEhQajfBedrgxPnNEKu0FB4mxvnFg8KqBaZKUgT z1e5aK1OVpOO3jqL3+nVHQXlbsEfGAcOLmtLEvkhOvSykZ3IF4Fjw7UbOE8M DP1QxRZFRxunxC6qmY6C6OUB8z4C51s6FEaq5NKRfgn18MnJUXi+K1MC549n Wnq5rilTUeXo74zRG2TQFuq9gPHn5JVxkv0cFRHn9sDPHaPQ3Lus85fA21Fd j3qwn+aFg/4WBA4Fuenq87EE/rSyZLM6yEpDaXlRnBF+oyCWNfdolLhOZo7K QuoXCoq6WXukcJEMb0zq7S8SuLTiHYl9wYSGDv5xYJ4/MAoBw6rhkwQ+ZzHc uR37gb6aPnH27uowUNbN/2QQ8/M5hl/gA9cYktL9rznr+ihwm23WxvlIWH1r xxZfOlrebs9csTYCeUK94x7E+jdXX85OKhlDn4M01oeDR4Fl95eLGOcHGx6y xH6pR6W/UYm8AXoVYpqYiXzh46OCp0fO09H8jcfiEoPDgOpkHHDeEXAqKDAk gYi3F+yFl6y7YZRVdlMSEQ/35ht8sAihoXf77mlphHRDy5fYm2r5ZPiPKyZ+ fxINGZ8kbell7gH6WV/nOSJORqcYXtMVpiIGiYQxTdEe0CNfit9NXIc7Vown YjMVacY41V3X7oax0Jdr8pep4MRzPa4zjI7SFs068h174V1m9iyNONdSrZMj wz7TkEa7Q7ebSi/IvJ4r1c8mzpODWTzCQzTk/IqPfGGkH27lxPdoEXHY08z+ Vc8KHWm6eVAaVQcgwOBioQdx7riuRJomKo2h6yeT5/iHusHC8WH+caJ/2n7/ QOzz3it+/8uO8F74JC+fznVrGD6enmN2EB5DD263yx+TJ0H3dvMMCaL/Dk8f Sv4qDcntKLnEmtQN39XPeXwj7rfTkQBmAmNo8E+a9KG+blic1DlIejcCYB3t RrUeQ7fOvWq3JPXBPq8dtZbEuayVzrjxWU8XYuQtc3knPwrp06/OnPlFBy0u 26d2Rh3IWJnVcoBvFAL1uH+lBo1BaF8ByXioC10u4jF9S6yHW+m6pKUqOrS+ 5ciZc+lAA6d2hvjvJcPrR779e6rp4J9sPuZi0ISOzPZHVGUPwgWtwb9RkpPw cbelrmhQHRrtT2ZUjx2Eo3/fJxwn4k+it4O9VWonUp8x49zUOgznzj4+1CU7 Dq6i2V9kwtoRY6J5ePb8MKifTzRo9RqHDZIt53XVOtBi87zXmxMjoPe0c3eE 1DiEm+7/u+tJN7K++z6XQ2UUBnePxn4lxrOPXkcrS+9C0X5+kzYDw2C45114 3NwYHGvwJX34Vok4E7bosgQOwjcX7l42Ik4OHs/eFZNbhyZ7rlsWvxqGfzZl Dk+JuM0S1azGN1WJ3oQYrvwXMgxeykwyCUS89RA9WaLzpw49DIxXOd8+Cqcf psUcJMZz+4uRtLxaFVItCxzxESMDz8qR8TiiXcHw9ExIUROaum3lanh1FOBg +MBL4rwrGWqlZ1l9QwFly6cWXw8DT8qGifPEueB3uNfH52kTmn30yUTn3TBw PVdlunRlAtLWG25bEflCYlSp8W67YQhI2e28hYjbn7kapTqSu1CHq/xPeDgA 01tEGgOIc2TOtur90CwJmXcwWpyPH4CWmArfUIYJqOegXhNaISG1E71nzh4f gopbInfTlcfhRX4be2ViF9I8WPS4b+MQFNkZzLG0joPP6cCvQZZEu/Keidqs ATjinm5+nPjfeofh5hr2HmRCPnLJwWwIojdc/0gjztkr8V8P677qQi/j1I9S nw7Dhr6QnCHiHD8no+BWdrELbZb4Vp13dwCGf7b8C4yeAE+b9mM8r3pQ7aMP PIHWZIj7ZKLqpksD2dpjZe4KPailxVMj7ecw3F1t6fz13xg4dvy4VOvYgyTM uaf+6I2Cxd4HYeXH6DC5+so/61wPyg1ONWlIHYFF8mmfE8R6YPb9VvSNqQPV +Tgq+s8OwkeX3wK/zCbAZPjPdU+GDlTbeVyB5dwg3FPU28pH3NcNyojJPlo7 ctLWljptOgBHFTmcF3dPgkD8gYMJZ36g7YLiNzZ61ME2GTXueiKP2M49xz6k OoCGxtj//RJtAo4bJYubifYNm3xbv/n3oYBzlTMaQUnQHHQ54iyRH30/MW2L 9Q9F/z2Zd49NgpBTA1EHaqdAa7JS78/NQfQ0blBeuCQXOqbmprW3TIHg+XiR bdP9KC1IfytvQi4ovf2XMZI7BW+39Oi23R1EiQ62nN6CpWCVVRxhOzkJfOdn dp0UGET37l8ryq2uBJcVRYbrxHgsJS85EDgebZ0InXfbVgEW2Xe4TIm8dS+y 3Gpxqxcx+f9TCfBKgkMa++eUTabh2ZZQXT+2ejT/7Yr5u/kR4CqKaKlpGgd1 s777jXxViPnCf2/YB0dAytNj4z7+CeivzBZ7U16HrFJeNI8ScT5R52iwEDGf Igrjbv2rlejmJ+8tJNURCKb9irxKtL9Qs1aKO9eM+j9XUsXpI2B0+P4AejgO EyHamdccBxGXvtbre4VJ4M16KBvn0UaLbRLfKgfRb3XnXVlipXDdgyt/vXsS PFurq37LDaFEp9TwPdW5sPN15NebxP32/UwJLfcYQnIG+2+PVyeB4E3jRfze L+lWKAdjwDD6OZUch151wa2pc9abifV5uPp8kKHpEEo3bsljWiPBhots1b4y 43BXZt/ut3pDqLSk4q71nS4wCJ75frhqHE7EPmc9qDiEioJSdyqz9EDdTuOj EsQ+Kq7cmpF6bhDduvqyo2etHYo7LcTsiPu1VfhbKJczgIqnMpXFrLrgA9Mu 6afEPv3yH+8/MB1A5NMqt1yp7cDIVf6Va88kOHI4PjIlpqTXVtU59yIxzrq/ 0XzEfmmWWlOhTRG4rro725m5A0itontiLk6AcUn6S1ECl2oO5gmspXcBeb05 kYOIe8q7N/KatQyjacuBafd8Avc0j5z+QcQfrr7zKryBw8jlnuqw5vUOYOVj YNN8PQ76bwqarX4NI/tRLf4SAlcJwnPRIWLf/ZvtPznNREFSjek+go0jILcQ ocToNwKiPAfv9yaMoiduDL+OxY7AifG16P3EOeX4MKXzE30UXTD45rOZ2I+s Situsr2jEG3ecVx6YBS9r4wSuWg6AhsUy42xLhwHXW1XaBEZMWq5GR81G4ZT 73+JZBJ5WajXs03MuQOoU3JON7uDBKEjnc+2ME5A6cu+aNkHA2g67WPaaFIX 8P7L3HWGmGcd5g0uHtZkFC/y+KnDqx7YyFNofJOIJ8lSR98830tGBnxNV2Rd O6DjelI5MxEfVO9Gmr65PooYPv2t5xruAvfs52PNxHlH9eoaZhAYRavOmsZK +h1Q32yqs5s4H0XKxcbN5EdRzUSBsG5PFzBKrVi8IM7T8667YuyyBxHb/tuq RwyaYPptxsbPxDl4s3ORKTR1BI3nvFV/e64HdOLKFW4Q/xunblzBoo/91y+6 RDj2gEcm27cKIo61n1tev64yinLeilnu9+mGArVU8xyi/zDdmT1fYwTZ8U9s fXi0Ay7bHTq+dGgcBDnF88x/9SJu6voDEZUuGBD6ffKc+iQ0PWJYX71DQrFX Z1acBLrg954Zy9SuSbj8jjvBiKsPbXxyxoc9nwRSmrEcIsR5F8Pj+mlXOAnl y5QI3AsnweBr14w4fSLu7bEemdjXhRL9Hdwu3SVBUGza03TiOgmuegZhpX3o /o87FPNyEsgfZbotSJxfTduuUoDUi8p9HRNeNbaDHEeh9UzxJGi8ta2LyCch 4/BLQSd39kFBtPC6NvG/GSf93sQrd6GCv4yvO+d6IXh2ZbMaMf5T32Utg8tI SKPjowVLeR+cWzrqOEc8XwYv6p7ob+0o8yI5z4fUC5K3j+9jJ87x9JSvhX1t o6hSWEH3xDYyMMvKPDlC4Kj8izmh2L88im2IlspNhp8uyW+OHRyBOZOQNN1t ZLSYf1O4uW0Uuo3OheL+QgmF/VfUyMjLtYwveC8FytAxwTsErku+Ws3O1ziC IiUbcheZKHB25/T+Nd8RGF3xkiLWN/LKZzmdSx8FvRc8BnidZ/JtmpGJHUFd jAL/jSaMwtjYAWVBYp3nRpFEgvZSkN7fQferamS44N2RjXGjZswSuJqOIFe2 AhL3wCjUeFyIViT6h4Uw3lM0G0Z/RePJgUVkOGTkeegTsS828W7SwDyo9G3d cZgHtebAqI79MYUYRZ5iHpTPU/kFzINatZjRxb7bx3917r1OtM/ZXGy54JoC LbIpjri/2CXeT9h/0yV8m9oxsSR4TdHKxv6b+eLCU9hvlK360RqnRC4EKmoz CxyeRYIhRnexvzb73d/+mB/1oFj8PfbX5jUgBfts70LXlMq8Gz1IkMt/26C8 ZxIJcOaR6nPa0cK7u2fWLUgQlpnZnKc9hQar3V7wVbcTz12a45V5L/CohTZn kiZR3LnnP6U0G9FwXNZDDc0S4FSQPYp9UXk+VOhjX9T77ReEWxRLINFkfPcx vVmUcrKAgnlio2cMqJgntjGOW37DzAzKimk3xf6nbTzOEqsSlSAmso2K/U/r 6gVtMI+LRu5pwTyu6p3D9th/fErJyg/7m0s0rnkW8+YCS3/Pgi4xb1Xi7FrY L/zklF5pwK5cODJdLyEWM4t0NKNF1fg6kP300Qb8ff+Ivj2/Kvc0ktxp5L3e 24n+Y+3lqzraCkUdb49jHeCUsJqvmI+nKCbO1yfWCj2DuUXSodPoY0xIYI5/ O3qGVOTq/dvBt+K4+l65adR+KigxdaATKdjtiTEIawUWB5Gn2C+g1vTyCOYP mHTacXXEtoOtfJi+SO0UOjnuvKNCsAvZB9v0Nii3wqVh1rdY1zfJT3zr+W+d 6KPy42f6RY3w4nhqGdbDPyLOmHHCvh3NMudRbeMb4fgBvp7TA9PIj31SZUiT hDilxzeY67ZCzEr3O6eMKXTEKkII+9+En/lqSDxPOL6u/zuLeI5iU3x7rIPa 0a0Nnybxd/+nnNEzx4h5aAzofGfD3IUO6yZWazJ3ge9Nnx/mJlPomqvXDfy9 fmdYuJjGTCfc0NI/JkSMn+YvpvaZvwtRw63L+BxIkKD4mp+ndxJFvOcYGDXv RTf2eb9hrG6HU2PWXInEOpnY2jUkdJuE2rIy2Ps5u0A8SNamkVhvtKvkUR5H EsqIuVofyNcFnhdqTvMT17HgUW1z4m5FfzfEhbhyt0LislbenrFpVOjo4jfq 14hirlntktjaCki+4AvW+S/qv7inW6wVWbwJf4B5jAW24ntliOcl+u7Gj0vx jWhV/NEJVft2eP5oexT2RxY/WMCLfZ9PPmRyPfi9Fh5rKH2C0hkUeHVTOvbH fdZ8wyigohbCX4fMzy3NoIHtObuxH7Na/xZ9Rv9GYP3an4f/t4JXTjLDuwWx MRY+yfBshCGxK71MejPI/9npqWjPRrQ7TC6izrsFvC/qHsftRgcZpjOTG1BA +csRxNYKsDuuSIBoP1xVbYd9qe+SUk9gXmWodMCGV49m0K0dXBTMK9NjyGac tWyEm39e82A/3zPfK56YDtWiPy/8dTF/7L98SzENtxkk8e3DCPbJvXEilA3z x5yPH8G8WVRH/5SEfYXviM+r1nyuhW2l9D68v3xO/avDvLu+FeV1zLtrVojL x/6/Pw6IhWIe41Gdsh+Yx2jh1n7th9ksWmPXMsD+xXlZpZJq4iVgo7bHFccl 3/NVHpgH+6QrjBHzYPkNfbdin2LG0z+2Yx5vcmCiPObxTpsM/MPj0bx9v+3i hXbUUmy1ye5CJfDfpZdtPT+Dlv9d3Yv9d6kXbg7raVQCq+ij//UZL0uO7cN+ wB/sHKXMh2phd6QZXY243/eqJ5Sxvy97spj4vqRKCJGiB2Gf39+73bmxP/Ky s0mzm1gJNOpk1GJ/5NyLZwtkLrWjLDuHzcELtTD4H1kd+/9mD6zT8tlakapM 7+f65AZQWGn4ip/LiIHjZez7sPTtYSrmHQlNLH7Avg+C4ztY/m3oRNc3NkRj 3tqPffLCdUS76BFdLuzLoNVS4XhSIwnOmDE+x+O/6SVwFvsv+H29UqqvmQuP NLbUYP+Fy0cPfsD+FId+ilWZOiRB/oKUOPanOC37+zfmNZkoau3IN04CI6vL 27A/RcDfDiWs2/8/dL13PNVf/AcuNCRpaEjIzohIouEUoZKVUUZRSoVSZFRG SBpKRtkpe2TvjCMzM5vLNa59XTuzjN85n+/3/f39/vn55z6c+77nfc5rPF+v 1/ue+3pu236XW/1dCQh4/oEX9+334vgWivuZV5dkL8nW5QPvd3feYxx7TtfK ssbSDgNDve5fS8gHXrtoeT6YBzyLeTvu2586ViW98LQEzDP+9vrzfAIavHA6 F+dCgjefiMeEhxeBhLGhOdxX/OGRjgO6b0iwKTl25yffEkD+SfdpbWkc7oh0 7cF8FoMNvaa+jvmgQrydB/NZeFmd78B9zvlGvn2ffJQPprNYRHGf8/hF85gW sya4zm9nSkN6F+yz68f6Yjhk/x7zehx5NeNwxzId7K+2f4l5PR6clInBvB6V 5xfeX9JPBw9Jv3Sw3+l1MNTivvHb9GJkcb32jSTZgPvGR1uod22R64QjdY1c L9+lA4Oks96SmMdB/+MoruM6yycv2qI6jmp73B73sa/lXn+D++r/pUz940P1 msFKvTbuq9+UZsqC+8wLaA5XeKI6q1fv9C3cZ17WuWUM95M/rmOTccc9Hewr Y+DNPj8BTSVDjuA+7Xb0Y34tDfmgMUooFPO/qPAtkY3nu6DNvymvzDlkh5nX Dz7zHYcuTnXqrBvIUPzW0Ip/YgnoElvi8L89Dv+YBnLhfvKt81ds5e+UgH61 jM24n/w9Y45d+JzhWGijMD5n+EbXLAjzLzA5PaHgvvECL/28N2+tBP53awtx 3/ifXpakgslOyD5/9O+yRQN462bF2IFwWMpF5L1xAQkebU4ITjRpAGVLVB0f nnFYYHTB93g9CYosbNUt5GsCj6wNz42j67/Sf5PGPBRd7Uof967UAN4o+xXM Q+GnH/aq5ng7VBGFv4ZJNWAu/a+22vo41DR4oryc1QaH/rZacTTWgG0aUpZ7 kfzDjhYEi4u3Q2fepJAaiWoguicoOwCNu6eEWmDeE6mUzJS77/MBz7J69dze SZgt9ELGZycZap7O8zx2uxIYFyUeUTs8Di0CfNMNP5PgrcW6y1SFSnCS+y1v IUTxLvfjHsyjIWH/SVxavBKAjHF6zKNxzsD8YRU/GUaSfc/q8deCwRF3no/d NNg7FepqLUiGe9Wuip7wqAV+c6wsK2002H5a9jHmR2H0lWs7r9wEDN/duYX9 9FDWNyPMsyLUUXVJUbEJMEaplmG//tuSoYm/h923aWAJfw97cW77YYwD86PX ryxeiYBtCwat+HvY5fxdQxg3LIsURD8n5ENHyF41z9IONpoPPPRF/vjg2uud 9yzT4fONOzebbm4HDuxRuq+Q/TstC5XfrMuHLtbW5nKOJJB4qftgBPLrWNuZ Ym/3dGjglbMXn+dpCspwzUX28GKrrNiF+Xx42PAcx6n5LhDjbt/xAtmb8nzj gT1f0uEno1eHJCa6wPrhujkSsvNTLRbisQ35MNG+A/LmkkCquUUYzlsWL6kM n36XDqdGEndzyHWC2g1/hMWRPKmb1V7i76nVv32pwN9Ttz6uHxRHuCQ8M1U/ fy8CuobrivsxtAMb9kldA4Rjl1j0w9pdImAIf0H8w0cksPlCpL4M8iP2sLgR zNNzrOLbVvuoFhAt3vgK+/Xl3rIh0TslsLvM9EN7Wgt4tn1weQXZ/7di2usz 7/Nhfc2m32vxLcD7UflvbCcPFtQeYn6F+9VOBu1mTYCrodMc8yzQq1hP+Tvm w2+pW+cQPoGMn6J7MC5VyvjnY56SUBtvZ4R/AOYo+GO+EpctGav1ppVQTV6U 7edOMjDwFnNQRvamteGmMD5/BXhv97FvIAOFrLMLfshPf8UNu7vbVsL4izmH 9C90gz/aE9nNyF/iy3r3XS8rgcGrb9stuXtAZnfCi9to3LWvdfPSo3yoOsLz CKg2gZwn7usYDx0MyMqYX/5D7CFLoytNIMhe4fh//PIjZP+68CIY5hc1EO5C AsF/Crf4IPknBD3/eNG3BCrkCh40e0MCd3UFyKsIh6OmJuQwjwvj2XeuKD6A Jx5uqwfR9X6+/F0v6vth4VSh4521SpAVNE76JEGFVzMjHm+61Q8bW28/FBmp BSxdLfePHqFCwe+yeaXLFPjg4xjd8mglsI0RrrhWTYU+KS3PbfoosKl4efFe LcoTTB/ZWIRRYev1f8/enaHA3ljzFMnVEkB12Nby8c0YnLoYklvS3QcTeYzo Af7eLTzHcBKNW3/ZuPPm+z74JeN9P/5eTG4t3jB2eQzqMqSpSgT2wdTSLne7 tEpQbeV4Xj17DO5WPmqJz6H13bgYhs+hdYG2Uzj/XOF7loP5UbpYb5w3NO8B WcWPGjBPiq5yunmJ8ADsC+j7GyBVClgja2wCxajwqZsjtzda//UvlBl5llLw 80hD5oGDY9B7p7GwRnEEbMkUcC227QXRubZuOF81H/YJ3fG2B/InZIXtqi0B 20nKTgt5NLhiPrAzPLgH0gW0suu8rQQqNYsLR57ToG3ynyM20X3Qnkvysf/b WiDy7HRcys0xeKCgmvvNlz44s4GzKtOoGrSx7fGWfjsGuUXbC16+i4Ce9zUv lL7qBFZebrwaSF/LAtVbAW8BlJCQeanytAdMOI/oKNJo0Ht3tkj1j3ToZZwb 1mzVAy6ePPJeh2UcLn2Z92URKIBT2p8F2kt6gP0G2aKNaP13bW0ZFkrTYXqd wLvbUr3g1qjSriA0niH08fkd1mJoP8k5VOLSA7rhhTYFzFv9dZ7rnXUUlLcj vbwTUQGeayuE4bzu3/LJMfx7E8/p9S78e5McuXVNXD9ObzlcdkAkHQbrC5BQ 3QkiEt5NcKF680Z1uKueUAQ0SJHIGz5ZA9S7XzrJoPr0j+rMNfy7jFMJWquy JRVAOGm/Cp4/Xt6+H//+4sbmIUf8+4vvAqJncH132E+jFP++Q2ln2TT+fUfJ pXENXBcXC3JpRO1Jh3sUwlo/7CkBvsLHrXF9d/By3bsojnQ4qBF0YI9SOdir NbH7Mrpe9/100XXfBphBl9fxgtwCjm+RTbJC+MayRcUN87KlZVf8nCe1gNxb f/C5HSiyM/ge5nGrXkhtq+RpBbdkDdYxHmoub2txnKuAQ2+Ftpy53gReVCZz lKO8sZThq6hQRAlU1TMJGEb+O36vBeJ8JsX26P2TiiVQ+GhEys/534Ajc6Mc jhejFNqcs1A+fHA/dEztQAmgXfifvPQlC9xzRTgf7t9d7fW9oQR49hvEYfnY VA1ebpXJh6S7UZ/jkyrAr6P10riO1m9IKj2mnA/FPpyxkFOuAVzVMnV8qO42 9avMH1ovgPz083r4dzeBV2X34jy8XtZBOEqiGlr0+2RpibcD9Zn2aV9kb3Uv Am/ic2uskT2rN/nbQcgvI+dMFEeuhTJ8EhKvhDJ7fJ9tXW4HiWQWbcy/s9e/ OVmoE9VfqwIw/ng7mCxkkNREcV//xtuzHCs1UPAtiGKMJQEn5bHiKyhPkFR8 0dymUAkLnj8JO/2ZBOiUjq6UoXit5GC0OtNQA8s26LOuZbWBpwl8i/vQ/LvL 0q/g83jAZKsmPo8XFyOlgfMZa26LD2f5a6H0Dre4z/xkIL9tTusLiuO8DsO7 4gVq4QHnV68d5cmAS6WobhnF8e6nHXzGL2shuwxTQ5ggGRxNvDC1hsZLSeXf 5VUboA+vrhW9SjtIpza/vofq5fbTedU/+Jqg6mLA7646EmiRVrffgPzixLvK Tx4mDXBT5Emn0AISsLjwdOI1wpmbvOr1brk1sCErXl2pGsX3WNMuMqrTVyxv BnRboDqijHN0crITqDfN7W/AvNKv7OfxOZO/+vIXYvs6AD1DUFtuxSDMukN9 RMc/CB0+y93catQFmOJrT28rG4RfP5hCat4AnPgxdHI9tgPYNjzlxf0o6aKq JeY7B2Dc2eTBbWpdwPFEo2jt9iG4cVNKqfLRIRgTPLFmOtEBBL5Fd/o6DkLS wkbVGt0hWDOzZVkstAuwqVk+LbIegKPTXPX4XM2EYbgBPldjeu9G4dqRAQiq p+g/ZA3DDIaYnw9PkcCOV1P011L6Ye2JMc6DEcPQTIh6oYWhA7A2q8ktiw7A fVGnFOJ8huA/1rHtj+K7QLBQFAX3n1kSZ1TYYDIEy+Pf91HOkcFNcW1T3C9i g0+sLj4nw8hZtg+fk1kuZnArcqPAoTkdSae+YdjW4UjfjfIWBav3/3D/ijcM LNJCvcPQs/BEgh6lC6hdAaoK6Pp1jzpaFOMwVGk0F7FFOLZX/dkLNty/YmWP baz7EFz/5017YdwD0hI2Z2wW70f51r1LzUMDsLhKsURmBxlIf1AQopQOwk2v +aOYMweRrGsS54/0AMMzqc5FYgPwjx9ftjHDIHTzdA6g39gDXL4Y79KdG4Ds E9K7SP9GoO737ba1Z8igP2L7T5tPvTCzcqcwPp8zYLehSamuB/CcKLHk8+mF 79+O58qyjUDD7LnL+JzVzg+hhrvGeqE5q9Rp9y9D8KjQA4eJW22gKr83MgXp 3ar5tJjPtiGodfdekvnFNpD7/XAK7vsUFlNCj/viKq7HieK+uOekq457ovmL LSK58ffUdmqLF/H31HtdZ61xPyVGixA9/P0yp1JKOv5++dGvkpPGvr1wWlGT o9N3BJ7dqv3zhzkJcDVz3epGcpN6RdH7d2AQXkl2dtHnbQO8pHa3hsvDcP+j mzGX+Ifg5EoUK/6+/upca+g+tM6Ywxktft8H4JFcCYpmVDvoCUjcfBZdvxI9 t137/TBc6OP/Lve+DXya4xTXyByAzAt218rbx2C9i+8XlfwWMN1tSJGhI0Of Cv3mKI0xeHjK4MxlrXag2TLliftufXd2iNwrSoM1a7sO//NoB22Ke+KPqHZA GSe7B7jv+r+f0ZG47/q8gW4gzxQJirPW7OR5RIOqcCwQ96s/38OeSH+hA4Ye SCo+VUmFM5s6NZSPtQOSwKe7uF/ipbo7DQujVBhiW8jpykwC+W0pG3E/xp4I nd6ls0NQPC/l16slCggPfx+E++zNBjTmfDYdhB1J7oEC7RTA9/eWsP9mCjyZ fUkJn2c7z+Z8HZ9nuzO5dvUWsgee4ZUG3D/5nfbkLtw/We195pd6JP8v7emh 9zNoMOGzLKV6pAWUrXdqHUfrNNb6l4/7/O8jaew5kd4Ozj7ZUob72mmcm7uN +/P7yZ0Swv35j7mpa+L+eMm810/gfv5GUve8cT//OwMarrgfnfRTI3bMI9Cm a1aPeQQsanN4bVwRHiWOFGC+gNdndvRgvoDE2dfMUWjcPzcwA/MF8LCRvv3H F+BJCsf968aGra1xn/xP9SlSuE++4AmGG7g/201dMR+Rf1T4WcouWugfCQh/ U2PD/S7iD1h6YN4rkULxJMx7JeYNrh5D63+d6U7j2YrqVIWPbZuPtwKFR1Ls uM+e6OvPVHyOcUg4c9Ojgl4gz3A72hXhw6ixlw9z8BDM2DcsHJfYC26rf9D/ ivzdcEfO7Cg78qOG7j97dvQCDroHDrjfmtmL7uU3u4eg+bz9irNHHzgXH9tw +iUFXlv5ceZT9hCc1fNVTgruA67xrPkPI/tgknltepjOIKzi3BFy7BEFQLGr H2+i+Xdcife2bxyC/LWs/A8uUgDpNV0c7sfoqWQhhc9hzrPqW+671wfUHl6d wH0JUvxl4vG5Sq5s+ih8rjI1GewoRPqdLNouj3nKPhjLPsQ8ZZXSS4K4P4n9 F06R5uZxqHLwVmie9W/Qo8Rf2j7SBpul3Poxf5mSCiUB85dNivc7vUb28DQ6 5ijmC2PXVEnCfGETpeOvMK96+63FK5iPbCvcyI/5yCYDGcQxP7uDeFQj5k2b cu0rxrxpI6nZhSRkD40Gd30w79vkjoN1mPdt6OOlSdxHpfabw5xzFg1e5VG1 5Nz3G0iBIf1ryO/OWC7dm91Ig1t2hRw42l8PvETvv9ZC+a5WimMM5oO7eHea FfPBrakudtcfIcH2Z0LpmL9jWsqMD/N3/FsUzsH8KTbbWhkPf0f1XKcNDfNt hS+SMjDPy42zjJg3Bear+ntgvq0nDs7MuF/rgRrOEcznFWa/rRvzealLh7aa q1dDHzn2bswDovcz3RHzgFxV32oemlcM44qjvmKery07S0iY5+v8MdazmK/H Ye/XF5jf7UNaEw/md3u2RpLD/V7+qqeHYH43d5+6s5jfLU8poxL3h+kEY38x 75iWrfdPzDsmIql9AvPF5L4/yRwmNQnzKsjvME+Z9T+FCMxr0/hi+y3M/yWf dl4V838FnQzbZYb0omajmYp57j6+kt+Mee56lQ/bYz4aQ747Qyr+4zDsqXcI 5tfbtSGz8A3yF3GvbD3MT+e0TcoV89OtvWevwv1n7DiqdDB/X9I/rTDM30f3 k/XAA3oy3Leu8wLzoJkukUIxD5rbTjm/y2j9XbqPWdJWhqE/Q8Mn+og2kLec d6QB+RGPeckoPtdEYq18xtXbBsRMPhXjPmAhjFPtYtyjsHR+/qFIZxs4N9T5 DPOA345Y23EueABOfxm4aMHSBuRP7mIwKR2GL3ZWZ5jxj8LWB0n/Tki3A97i x0HiaJ4VbZPbU1pUyNt7P/UmRzto9hR0xn1lt5hbWmBeObbTpeqYV645v8Lf ae4XVE3YXY7545T66SYwf9yBEmdO8tQv+Jv5whXMT3eXy+0Q5qejfs46gfl9 ant/x2Ieuiu9CuGYhy5RNnED5gNyebf2H68N41zdf7w2/4SEZyYqUiF3aaYz 5oXZ/bQlGvPCHPvuq8NfngrnD/jIYt4Z8bPCbJh3xu0BdenxBMqn69f/49Nx vZT1H59OIf3bHMwDNT5o2iz2YhjqJ/oV4v78vBddAnDf4IO/mBpxf/5Hi2fe 4/78PqfM/mDeH4UNO+hwf37thWdMuD+/fpdmHu5L/CpZbQHzMrBtMXiHeRnc zv65hfsYF5hW/C2JH4FPuIN8MX/ENq56Vdwnud6iyx/zNRjfGGHBfA0ht+il uJA9l2ew1WH+iKEY3w+YP8Irj3IB92FWTAo0wvwR7vyB7Jg/Qlzb2Rf3bY5J N6PH/BFiWnSbMX+Ef/Dex7jP84NAsT8RnSMwweX7PswfwTkY8xL3hZ5le1OI +Qt+fOk7j/kL7NVMs3Hf49td45sxf4HK6yPCmL9AMfXM+Rg0viO8bTM+f2tc dZkDn7+VW5Nnw/3xvsnmnsXnSDm+zWbgc6TMV62PdqHr77eOnFJcGoTPDaaS 8blcxndG7J9QHBm9y3UFn7e8McY6hM9bdomAVdwH73fofmV8jjTkTepXUtAA mOcp8ay/2AHTqKesYn4Mwi2cMgn4/GSBRGLCVYRjuhanXh5VHoGH2WIcOlT7 gXaPbSbur8vkPcCEz4UqOShP8MMBUPvj1HPcr2/2+10Bps8jMKxRLAafC72j WNqKcXi/jb8mPqfK2nAjH59TTRy7nqx3rAMeu0dXi8+pDr59fKTfdwBYkYrv 4j5+ni1+dfgcaTWnixE+R1q2XOSG+/VNeQlvMp9F+ec97daZXf3g5NW+G3M3 uuFH2xS/W+GD8M8Phm2WugNgitPl7WeUh6Q+SWgR3jQM608uXvzk0Q84A4q/ dyI5PDHi3onPwdaH+vdvsx0EP5Je/cJ9DmPOcU1jfthTFon2tjkRoCdI/iV+ 7sHZt/PSkFUPvF4dzsmenw7oOHdNqbOMw6Jg0zzMS7uvSWoDuTQd/OGfP+SF 6pEz+b/LfpX0wCKBorrvQgXAIFrw4Dqqj/az/rWad+iBmby5DyJ4CgD7n3xJ IxoNOimurGXYonzThkN4oCwC9N6/Mo+fkzx7mxctw90Dh3Wobd/LSsCQkFid FRqXL7938euFbnjtwgwvk20l+Hig37oSja8myqhskyfD/f2f93IL1YK47yqR uC7708zxGvPq9rFwmD5nLQbmF3bMaqP6a3rLyD9kT5A52IkOnze+eiCF2ons irFGmRefTz6kKM2IzyeHJfluNEX+Yn7e5zE+5+zj/jcVn3P2u3SZA49nVNhB fC6ahcIcgM9Fd4i+a7lSmQrPyL/fjH+n8PFihhb+nUJOfNwvPH6bdtsc8xzl R39vwDxHFdwuJ3F/XRHV5duYnyj2bKEn5ic6+MF4aQfCq9NvA25jniPpyOe6 mOcoIJx+P+7fe5Cb8TLm60nZGz2M+Xp+qLTM4f69hVYZPpj/CAbOuGP+o/LW 2lzcL5c7ybkM8wEdZfoejvmAPq3+LcL9nUxv9GzAfEAnr/bwYj6gjgiJg7gf 77XNZA/M+1OZs+UA5v2RucWrj/v6yvs+n62RmoBwfrsj5mMaviyX9iOmHr7k ffwE8+D8VZNrxTw4pEHGOtzv9x2JLgvza+hyePNjfg1T/4HbuL+3quTHH5if JT+3QRrzs2zP7bfH/cD9X8mkYr4Vnt/8PZhvZcH34hPcPzzuoA4L5mk6S+M5 inmauF7vbMb9gf3eFC1JaCI9G12myep2got7WW7ifsjpd5vJm6LGoLBihxDm K5nzoyvA/X5XDUy8MR/NJpHIE5iPJtA832FvShtkMRF7h/lornD/kcd8NJTw 4EXcjz036ys75jdhHvb9Gy3QDdK+V7JyoHgadPrPT8yToqffx495Ujqedp7G fYMtJNw9MO9PX7F9Nub9aT+jQYf7X9H/+tyNeZqKoiVdME9TtaiJGO6jdYu3 YRbzOm3SsTyHeZ3Y3paz4j5aSavliZjX5leU9imLfT2g6sVOf9z/vKCaUxef 094ZHb6Az2k/NYnLwv3Ahd88L8PnsXlvRrNQvPrBvQv5wfIoXnjQyzxs0xiB 7WGKCextfaB0eOTB2m4yVA+qP4rPgSfsemqKz4Hz8Vme/I7wZ6uGSinmqVlI bC/FPDXqjd9VcX/y+IGCzfgcePKM0l24SgHD6c9/P0N4W/Lh2BbMd1NSYxGA +W6UVaeu4/7nbbeMr2F+nC13d8RjfpwA/1++uF+3cts+UXwu/VxwACc+l95s aDY6hvLD/5/z4XAoK/I05hUy96LXwrxC3ka/L5gjHA4TNy3j5aLC66Jqt0sM eoFmArUP80hmxkExzB8EOh5JYv6g0+IqJ3B/+ETxQx8CU6lwMbHZo2iMBPbf j/mN+94Pbnn7HPP+kCKez4cfpIDCKKvzdEieK9lVXJiXp1P3vgbm5dlFXydL RvOrfm79gvmD+rwU/2L+oPPiad9w3/LtlL1HPKMpsMfjcsdn9Q6QrCyfZls2 AkNOP5G+K90Pu2/77zfsaAVC/WNhbjNon/MvSVpdfbC9v3clIrYV7Iy9trvm zyh8erh24u90H+xavxsgfKwDrOiO3L2kNgpD6SfCdU/1w8m4OhV6tzZwe7hb rBrNf8yD5bTDOQrUiLYJoDveDIQ+v0xePkKFpeBelQ9XPyy1z5n6qdEMrOM7 A13ejUKaoFMHy+8+2P3XOkg7qwVwuU8PyEhQ4cs7V/oX3dqghvQ/7T8n+8FZ w3WLLjS/8mdp82TzDtj1w25+SKMfSKZTNzWfHIGdTk0m2SxtUKI9eYU7eACc a0nUMEd5XX5W6bxnbyv8wi70owrZJ9WK0aaudASukz4PswZ0QP8G0QXXWwNg UbVfxEkV2YHSY3r92BYoql62HNnYB3bn1Tw1PEqFTT9q80xjW+HeT9tO+XT2 AcnbrqMGc6OwN7ZgIqCjFZ6UF0nPkO4HLZwP/E8ieRo8ifw3rdMM1aix6g8O 9gOjWZ5TrF6jkN7W4dP2U83w0uTacyY5Cpg/88gxQIoKn+6Vnf62fwCmHKjY ct66GTys5JeZQevs2LP1x68H/TA2kG5Uqa8V3GNqc49A4+bkj5cf3BqAZ0cF jhkHdIAIecXzT9H6YWRE1R+Nfri/s9vJ0bwD+FCeyLci+Xhsp+pttG6G+5+L 9ATuHwDuRZzaG5E8fczH6v+96YP3b1/ftTmoFTBF77TnQfpiAGw/WPV7YdC2 v398VttB/yU1y8NIDoZrGd+0OXvhz3Fn/2GdVtBLZnn0jkSFf8W8JISke6HM Jok7yQzI3l7JVgqepMKxf6zJZUV9cOqbZCdPYjP4VRLLsN+KCinbmYXDx3vg VY8rq2cZmoH/+/tNWQZjsMN0/e2FVDI0LvR2PGHSCsZTrTc4vx6Dz/fln8fn Tgv1Vs7ic6d72w+kHQwcg4OOjyF0JEOJnxu5d0a1AhkeN99wdP0Ftfsul9V7 IKet1uzX1SbQdiUo9O2bMVh04MeHE9fI0Mh97bflUBOI2kE3u28fDZ7Ye/tg tHoHPLK9xrUkmgJynbtWcV9E4ZQJ78rvTfCg/dfpOWYKUAhueAwtqPDc3u0n BqQ74G2duYcK031gHrxmuY784tzo7kBn42rItVPt4/GwPnDFvKyZ/HYMNvk8 Dr72uhay7OC+WBnTB95xvf++boLw1EPG+cLuOvjo2lTKeAkFXKr97aoSQoUu ranZRiy/YPMLBYHzixRAiWJhXq6iQsF1nnZfWAkdjynOePf2gWXn1eZYtN/U 9l1Z7IW18EatzOszZv1AY2hrOBfSY93SSQmbhUp4UPnSXGxjPzg/7jufgcar e2mvKt9WQhXfU80VQT1A76HsiulzGlxW0a5pqC6BfUvhSwpv0bhC7Dn8fZBV uciIQEYlfNoRscgR2AfU3xkYKmSPQQGNrA2c4yVQSFQqUu19H3gdG1ActjwG H0atx7w7Vwo3TDgOkYQGQNoPK09ddF8ZT6MzT1dKoF05T6/TGQqgkx4e+4b0 0isnp09jL4XJPanWBl0UwBmqpbeXG+nLo3qUK6UH1nx7xD99pRYoJfnS6sRQ 3b5X77e4di1U6L06+CylB+SKnOhNQeML36JDE9xq4YVbZKcDZn3g/r87zyrQ /LLFbdWP7/bBY4+LT87b14JS2fozCWhc+qUE4HJohzHSh8becLeCAJPS5MBW Ghyq82jg9GuHC/wz8q5+7UBFUko0EMX1OepQ/RbuVmgmIprl7NAOzlR6toei 6934jB3aGvuhTsziqhzrANByqSw5jerHnJpi+I19ABrpTu3D5zxvGN+0PH2Y Arn0W9L52ynQdWNb6mfTQaDGcIP302YK9Kk8I8pZQ4HFNbKLC/SDgLfX4M3f lxQYb3SEyeTcADw/23r87f5B0KF12PwFqkPJvy8bqrAOwCr5HUO/kH7Xo4bq 8H0tht2pWxD+H+jUKk8e6Qe5hfsGT5D64RWDafk3+wdhYYFOxM1zA6BkvHjJ Gc3TFKbqMUk/CF9v54/krUH2H0//bQ3d10lvbVotsx357+6vs7s6wfalPXmW SO9nNpg0bjrZCtXdxx7p/SGBb+GRz1gUaBAWKCR1fumHzlBz9+lgCjg3t/M2 F6rTQxOnddA6YBJvnTwT9q/bS4yyaD3P267tkAqmwOmLJ10GvqC6YEGGkRtd L8gveokxshXmNtM+SjiSgeFI+e5VZOfVMvaDgwatMP+qsuGoAxlcXOrfYItw QKxlW39aUTtc8vNa1YCdoD/ngd11pN+446RhcmEnLM28b+cK24GDSr6HFxq/ 6iX5onuGBG8KTWZ5n2oFfYtbUg6g9StpWqRuZuuEwnrnkksz2kGeuWylCtrv gsOGgV8JZHjfh4M5pa4d3Dg0I23BOAZ/Kt5je9JOguU/6/0Ka5rAxhxadRfy lw3Xpzstr1Gg6T7Ov7vJ/eASx3VwDu3r1M7yzMOPKHCn3bv1WJ1BACzSbE2Q vjZ+ibh5AP/uMo9exVByEJAEIgTPfuuHvl+q5fA5218rBgH4nO37V79S0o4g 3K+8aX+joBcqCitReLgGQfVMaowbml9/4ndRr3MrrFlt2tPQ2gMUSc+uKg4j v2tmMXBkaIaK5jyKsdM94Ptq3RlH/THYZsCa5RvYChW9wN/e130gVzO2bQ75 qeS3dRldZhRnV2KN+FE+8ymh6vhblD+1UEIuBy23Q9mgiCXVk73gbULiSjTC +Qw7Uc7TN1qhkwYTo1EyGdh11SrfR3J2LOawmVlvghu27fAWUusBkXfMZJ6g 8WDYHNEy1AQvH5f/1naVDNiNjCW5EQ67bDhmfJjcD8W3firWuUYB04W/VhXQ vkxCfJiLqpvglqH2wex2Etj6of7VIpKzQMOp1x3UdjjQ9mL24CcyIKveMRln QPGiga7qfe4AFLM6vQ+f22cgn0lIQnILri4mb+WigmM9+wbpLw4Am61iQfXm JSDyVE7Ql8ReqLE77Bpr8BBQ/PySAT+P/Ti61pES3AdvMXMd8c0eApu/U4Uf RfbB5vvRoTYefTCP+eaC7+4hUJy7IR8/j80uGtrrtIsCTBZOlPgUjgHJtTyv RpRXZ07zztbl9YMIc0/dmRAq+OoJ9kaieupTmdxV9D9ckZiYwu+jSp4Nj9MO v5mrGKFCpYdO81JV/eC60caKJm5LeW5fQYVHTJkgPEVrcJmZCjQ15Fj2lwzA 9j/9JgMPuyHfaoWcvigFSIffLToRNQyHYnh/Srp1wwO7fw9s/EwB4FGQwU2U J2x3T9mH16mxZlOK19lbqWyC1gnusbk/VmXuA/sA897YGzSwKzLGMxONn8i3 0hhf7IQpenE3DnSQwaWp2LJmcSo8kvTjXd8/MvyRWdrU9Y8MbA8G/b3tNwr3 3nWCaF4YuTJxAN+n7VLSRyyH0xuPf1VpHoOtCz2p9tYUsN8zUFH3lZm8Vdfv ZPx/MOndN/Q+CGacPovHDymKbDPb3wc+OBSY6cXRQALnjvsJgybyK+/sVI4h uTxQ3peH5AQSWIrONiP5XFXdJIvuB2VM9qT8d/+rkvp4Xy2mTLfQvqDzyRAu tC9oWfTPH+/rzsUAZSR3OPQhtBPrIeMgh2FEYTHIfu9wFM0PO2NKq7AerJc+ BWD5z4ZeWcR6KucON8J6DEhrYcbXL+gKhMX87YRN0a1nNnahuoDlY5PCESpg pG2R60J6cb/aba+D9MLc5kQnHzUMtg0dusuH9MKvdFpv9ROyl8OPSZaqw8Cn 8YwhXmfm4vlDWP6nBAoa0TrhPrbnrXf298H3F71fYTnES7xwxHKwizV7hPV1 mFmQDV/vtaxdja9fGOhbd7Ueh46+F09fSc2EFSpvQlRJZDihMSnZB/7Ic4h8 oZNioEIDTgPewPkB2MILdggNTIEN74JTmeyzAFdXv1snn6V8vh7l+njoFPBM PP3XyzQL7G6HjmK5xaC3vn99fX0KyDQ0KIWEzheV67fO9R+0lP+9Tm+bljcF /KaWJ1nS2opofjeZu/KLgd+cc8UL63GQ+thO0iw1EzxJDnurQSKDbe6f/EXM xoFEpdtaXf10kRy7FHOFczegZZSaoftCNykRmRemWbCLTdRDIrcY9j6l8aB1 wtPbtA4x2GdBd78dw3idfN2Z/Tl5U5Duf/5ebBS6vml/fjGcX8d/UxCIThTy 9ZjIx8udXn3pZCa/qZdb+f32Mfk9hzJNNP4MQxN+4aYfl4fhhdddrAvd6TDV Kn6bl2sfWLkXwrFbkwbmx704LhYNFdnzBNmlOvWBy6JHG+5b0sDZU3ktHGbj UGXi06+sxJvyJo9uktacu+HmbrlWLP8V/qKE22i/b/guPMLyDweFc3WNw6Bc W07R7HsGcB3c3mWG7jtQbPEL6QNs0LfyEh6cLbJRXBIKQHoh/Jzwe8Lfx21/ KmL5KGhFG79HejHnibXG8nn83Z8Vy8f6EnUK69HJkdKK5UNZGDfBduW1Kfsg tn+OPfHt2E5kcndNY7sq+7THHtkVTNG8H4jtqvicXXFoOxkmF7gcD/7TCZxI IkXcR6nATaZIwliUAkUaJOzgw26w3H1vCNszfcdX+UaEAzXXv3vUIhx4rfSQ 7qHfKFiLPHzwmB0F9s2GbJK0o4ANVQkjs/qD4Ihga9jKJwqkxemrXHbrBiHz OoPGyP55LMcFf8lQ4PXtyUWZxj2g6riZ5FU0HtHqxjWScUt+OUyT/fifYXBn taq7FcmNkCMhV0Ke91jWjmEc8Jz6nYbxbQezvC7GATd5AyMsh2hREV7sL1H1 270xDqyHVnqntZBhceW39d7pTjDB8e5iqiQVBty/3INwCXbIx7thXHL9RyeE cclSfucW5Ye18m+u5FpnI7sb1v4SoYjsXHHrwzMNlvPyDzQG/rM7tTEbT+wX HJ9ePPRVmJcf2JDjzonsxXyU9foSspPVl4Z9eH5b8yuuGBcXnOKF8fyL5W43 Ply9JZ/Hp8Z5HNlFlxjnaX9kD2uvTp/A+7pwjZSE8W3gfZQHxlWBsLvnMI4Z kV42YxxzWvS4g+PIP41hu6mUeXlQbkrF/sGitEd2H/ILXUPOnxtMeqDLs7mD UTIUUMJFV30NyXmH7D9WdD8YX0x6gO//+179ZXzfp4bd9YvMVJiSuWfIGtmh 5KnymAPIDpM86Uq1Eb6coBOcwf4t19uThf3aMbw3Q2pbOmRWvPpJbls6oCb/ mBFvnwIjO3ftmDb4Kv/C/uc1ry3pYKx8j0oMbQr0ClUFZiL/YfrsLnIQ4YFQ 978PqwgHNlpZVM0h+/+9Hidmie67dcr5M1fJACD2Seyb2O9bebVMeoQLNM3t fBjPxI44+mH7D3UYsXNBOGLr0+SK8cxQrMQb4xiBF+7/VseRfIDuObX6vUiP 5d51zRgv/vwPfgAj87sHPBBuEPGAiA9EXCDiExGviDhFxFEirhLxlIhz/xf3 /jfeEfGYiM9EXCb0Teif0DthN4QdEfbzzj1bA+vrldMZwwymTOh0014B6yte MjntFFM6eBviHvGniVTEcaT2RxSS/2LJ1geuW9Lhk705B7F+vO1KjbFeeOu/ FmA9Eq/yqWIbJJAelbk5dl02m5VXXWN54Y4+d0VtzQBfr33p9cp09hN54rX6 f+WnwjpeIoPsmPbmA11T7J+i1zmBor7zA4DAIwKfCFwi8IjAJwKXag9so6oj vF47xtnegPBA/cQNtXzk77v/7J9F/g+Fv/grYTygS/7RjXFgg79SCrarrQ0x 6tiumJ78ZkB2BYMp3M9xHIorqxRFOA1GaA2Lagif0wajXOsQ/h+G8T73EP4b 7spcOYzqvuuDNgU3EP43uNL1FCP8T7zcO2tsSYNEHkDkBUQ+4BL9W3oWyf+p TppSCpJ/dWtBzSFkt0S+QuQvRN5Svaz9+QjyuzSOd7Ovkd9lK04nhCH5dKrE OWKc7+T9ex7HQantnGPYbo0TH7th+7tUqvUBz2ccq74Lz8O9te4C9gem42Md eF33B9mu4/UsswfswHKuqt1jh+3wNvVsA5bzwzKFq1jORiM/BbHdasovv8Ry blGatKlH8iQpTyce/J4BV9YDje4ieTIoCMmZIvw9zL1VzT9usSjT/9ydmMvD 4OMrDbM+hL9xdG3Cdkj+56sWS7Rxn5+xBW8x9PmdbIKj+H33523ndNB4jt/H 0f9vvGa8/VUH4RLornIdQtfBNskrvvhzJ1TczuPrtz7Mj/iO5Jj77/wljAeR 5yWlMA78FJcewPJanoiORPIDI0wgGMvNRmH8pBmyk5zza+0DyE5efJVSi0Tz vG6I5f6L/i89oG5xGe3jaU1OdyEa77kepojl5uzS1IjldgW63MV48oInMBjH 8Uy7r7NaCOdE/+qKIzsBhqufUnHc/+PIno7j/rPu97fXEV7tuCj9X9wJGfFL xX6sfC7NFfspsU81Jd4RjDPza0wvMA6Tbvn64LzqaQntAsYlu2OX9+M4Du4P ueP4zfoy57+8rH2vmjvGsZ+ttytKkX3mp4LtL1z74J0v+4YPIPtMoIb8wbi3 0GnKi+M/5+9n/+VFyr+5aRj3GpQCnLAdbXkS8p/9jCxGCurOdgKx9I7dM2Qy eLrPbW5KnAool7441aH4TbwqGyc24ThOXEd8jrj+85mhfVoofpuHy6/MozxW Vv+NpymKIykSCxnY/r97fP79EOF2VezWozxIX5Ovw8zLUN5wrP4m0zWUD4cz i2UpoPyB+DwxHzFP98zHXxfv7gEyTZ8tnjv1QRtez4w3yO/Ip9SyjyE8Il4L 3xavoPgCP410WrohPAp/ncc4g3DM75brdYRL8ES/BE0N4RX74xwND/T+3tfD enj87JnwwzMIp4jX/8UraNXEdfcEyluI14IOxmKq/iCMY4rfmYXWUXbVx+g2 woNf5cLMd9F6Gsr6B7E+Nt23VmLrTgdcJQoXDyK9uN4z89j2mQLrnvpNi6F8 n6/5Rs51VH/lOvGZmKA8ikXXyrIH1QfUkujJY6heO9oe3hWL8p9WPZ3ACuMe aPLu1DZzdD3xP/E+MU58npiPmIcsVOnXi/Ix4pXO0/AwrsuIdRDrItZjdMJY qgfVBbdkRu9KIBw6nHPNNAT5EeGHhF8S/kjgGoFzBL4R9RVRbxF11sGdn71w HkC8JiRd6Mf5APPLtxWVKM/LjrJOSEJ5SNFfbeE7SO+EfRD2QtgJcR3xOeL6 pwZm2iFTncCx2jV8YycZhBY+T3hxlArdRHKqyciOidf1irbaO0gOxHXE54jr NeKvi6I6GZqG3fhmgOzwkpb9HR0kn2jpxBlTJN/oWvovlWg9ecNXImWRnC+f TjTFcvmpKSmGca/aP7Ic4x5RfxL1KFGHCpx6Ho3zYOKVFt7y9Q/Kh63f7LuH /fTh2oQFxgFLgQYRjAN+TDH62G8DLtk+xHn+W86gduy/xHME4rkC8TyBeO5A PIf4v+cPofHSksuofld5/LyiiQyva/EJMaD9Ev8T7xPjBN4R+EfgXkt2/DYd NL676aEejpsvOXbxqaO4WfOLTAlCcTH0RGydjtUm6OfUYGqP/AK4XL53H8VR 3slrdFzIL1INKcYiyC+I/4n3ifFciwPvldH4coDWAK6/qr3qnNlQ/UX8T7xP jLdW+vrivFp0YigD59VMpi6RiwiH9Q/OWOF1W/9iu4nrr8oWNga8fqJOJupm ol4m8JTAVwJXZRTV3kSiccUcI51xNP75ex3jRnTfptHzCVEIB6Y+B+WrIxy4 zWY1+gjVg2sGt75iPJfRbbiB9Sh+Rt4J64vIw4i8jMjHiPhKxFsizhJ1MlE3 E/WyRUbFmzWEk+ayM4+NkX2+vpG0BeXtUNZCvcYI+Utb5BPfWmSflnz7bE4j ++yIWNsoi/Ar0PDx9HFkb2Y54k/HEI5N1rhGhyP/WfjsOf4Z+dNdGSXTl2ge 4vPEfMQ8xHXE54jrxTZ+isfr1/T1tUPrBxoyE/p4/XXVVjxzKL/vfEmK33t0 pKibz90oGuHtoivbEs4vnY/7XnuP3j+W0nwe4/DRLoVXJxEuEK9tL8ndGM+f wXnjKCT/UsH5xtNI77kJq3c3IfkTeQaRdxD5xj9hLW8ZtE/itT7+mhQN7Zeo H4h6gqgjRK83uUwd+ie/Ua0s0gPpU69Y+aM70iOhb0L/hN4JuRN6IORP8psL JyF85rooYfweyelMDh2jAxr37/17Lw3htWjpdJgXkltQ1T0LOzROVXPchXGy QE7KHtthk6/fe4yTy3ZyXwwRzsSZB51vQ7heu6Xw6EmEe7e6kpUbEI4Trz1n JcUfoLisUz2/N62VDLN/MAzR/nVCMutHY2sUly1FmxcZEI5pFgV+5kJ4T5OW lbmPcLKG2SsJx8u32xm9sZyhp/oEljPx/It4HkY8ByM+T8xHzEPcj7g/cV9i 3cQ+iPWn6V90kkJ2SLw2b3QVx88BnNIk8yaR3Nw9LYKKkJz2hwg3XULzE/8T 7xPjJn+VclORH/lOitzBz0WOhdHi9iE/Eu3VIGP87E5Lv4vxsuxZ/H/Pi4jn X8TzMOI5GJH3E3UAkf+vl66oYL/ly7CkYT++UFe3D8+T81TrBpaPHPngPMbb VWonE5bPRqu8YozzK8U5HBhvn7GdvI1xfj/386b4Z03wVEJ+6CNmCmgMd9GW t6UChX4rb9dpCgiT2Fr38Q8VxOwa3//9QTms4Rnb/+BsA5yZuOYzJtQLWL/N 0PKLxgDPma8xgzuosP69eVp55gCArkwD8VlZsKo/SSDZLwtI38lkfKJKBVuS oejy/QHIJLQ6WrCnCZLIL21yXLuATi3bkNxjGqh6IBfUN0iCDQ+NRedbKEDl ZH3XbukR+IFH9cuHynrI2Oqv8ryrH7DsdknzTB4F2zPavyiY9oE42WCjjbtp YDwssXfvTAlg5xWWUaB0wREdn4Zmzh7Qxcues/h+FN5oEpLVTe+AYrJlgwKJ ZMCk6dncVE+FEWNauWif8Bl5LgHv+4F4jRzeb6kS049Cj1G4L05jIPX4ABjR ljrqpFoHHzj4+1f8mYBXl3dlnzNthOMB2aS2qFpw/0mkHVNrL9zEuShW7j4G K/rldNltGoCLZxNDoc8ktGET3UEGTTC8sVZTliETtLUx56N54ffNaYJF6D4Z 3DeFnqrWgbYmr9dIjjBV+8oPLFcOqYynSVlZ4Lvt58CdTwfAQ5aEqpzfo6CS bd75elg5MFLdXHkV4YTXg/1e6dxUIBie8PrCtzigKbvlu+YhEjRZXPNuFOkG GQE5K7IfqUD78H2bmnEylNfZevv3AwqwYj/25FoIqo/ywlzxPpl9Unei9QBB HpkQR7TfeeHVo2a63fA3HdOj19uRnr2NJtmonYC+Ibnnrx8ZUuIEh7WDxsH3 kG8S1lIxcIUh9Z67cS90q3JLHEL2MVq/nkCN/g1fv2MrXnvTCVeLqN42WmPg cV6j/zKtA/zY+Ht9c2svOLmipofkBjbuYjrEYdMA+Yxugi96feBDLY31D/8o WC7xbuk27QTJ9lsLsZ31qmqGIfmAxOX2KWxvHYIswV4CE3CVerLgXHYuFAyt GtFPIUHXwGClNI4JGJzQf0KAqRUGmR/bpa7QAFdiKPStyjSkl72MrUuNIJD+ kNHQSTJU2SNTtRQ6CS8apMg5azRBptjUfKFfiXDNsmXg9elJCDXTz4tXNEKP m6QLFUcroFkpr6a3E8qHODf20Ugl4PjCbmj7NA88vBqXcE1wCgwpfQo8+TcJ TO155/BbtxZIjKc4PGqngdL4Tyc8HEqAeoLP1wWRHhBI2/3k7dIkiH1bpyZl 9BPkMNL8m7hqgNbE1GW2VRqQCNol0DafBlqH13fVpfeAlw5F9ui+cFA64NwI qQRWMnkcsX+aB+lv7fBA94V7zSq0Tv1Ngkr/3m5o0q2Fymb3ZTSZS6G1Pv9o isQAKGLe3zojTAXcL3VVtwRlQR81t+4Jvj4wmyh0rNyFBhyXFOo4KyPgNe6k S8GNFKBF+6LZ9H4M7HicKrmQUQiTS4xdPNIoQK67w87g7hhg8Q4AnqyucP2t JeeO432gzfZcGgiggYBjgtVKpyegTvFf97ABXxjafSW0ZY0Ev//TbUZygNoz 1bzeDiXwkpVi3R+RHni+pt8MyQGuy9suIDnAvSfX2Zu5aqBrfEP27lUavC0h 4zwwnwZ3PvLMq0/vgTePHJ5LRfotCtm0yo/0u9UuOFpToQHcjvlqECs1Afcy nh3QepoKZr7Szup2k2CS6cMsB4VhcFGRT6drQyngvXZjh6jzMAw9r6bTyorq FJ281X3dNOjVK9k8LvQLDv+8sRiu1wefb4wTmUV2eKF+iURGdvieYWh1Iq0b 2ju62PafG4dzWm7lEYzp8O+dS8+kOHog6N4uH6bTBi79ILFNTVEBs6R45h32 HsiovCDzeqALdOllcid/GAUdb35Jf5qjQbFOk8n+0Bzgq3X3hYN/D8zMdb31 8cgU9PxrvdmcMQBU2zAl+yfXwgO99Z6ryI8sXgEua60xyOVK/ks33gGDxj3v DW8Zh5z3b09nrLgC289SqmqdPfCk6yS3ez8FllRlHnLsp4ApmwcZV4IHQObS r7DJYwNQpvjbh+hXvWBk1ePGMdFB4MlzmbRmPgzOtVg6NcBUYDEvHXSocBgS /xPvE+NjiWoD7g1kaEx3ZqNN2SiUd74dx+hChl7BjmcUTfugxMMH64wIn/PS n3/B+Gw0lntOMaYL3onIn06fHAWDej16cTu7URyYT2sxbwJ9IamHrhnRwNhP 17H7oV2w5epcEGvcFNxdYHGMY1se0I7ICLSoyof9kgpeqlunYJGsivCCYQHo Fsutmk2rgS5aiWIhN0kw1krhk+S2LrA1c3vzxO4xGLu+4aZqQgO4orMs0qs5 AsxNpdk9lAbBtYMl8//GumHx1k8e/Gk08K3ixsuIg5WguTPp8sFKMrQ9urp0 yG4cRDPL7OPclAWUZRWbN7dS4JkHuiSrQRK43DKxzC89ArY4dPFt2U4FtLH4 5dmqUvBsyx0F9gsD8OlURK/Zpi6oGiTZfPwJCdABv4dDO8ZAg36CIMI3GHTQ p32GfxSKPOl63W/aCYnPE/MR8/AOp1w0K6CAntmk7gN5VFA5fP/0z6gaQGvc dpR1MwkGGzjohbgPAP8bvI58rMPAOa8yqs6OBEPtwrkOqfSBhj2LfWEPR8Gt KnsKiptQZ9MWPhQ3YW7tRvP9MyWwWu3iv5U3neDVy8MTGJ+l5zknMD5LSd2P XjBPBzJ2JJMeDSpoOM7x9eTjAfiq9RrbNZTXrPbmqaG4A7eSxA9d+hYHT5MY tDwayECN1OT/uGwUPC+3OLHFhQxKg229UfyCwYKnu1H8gq1N+0OMwsphSiuX INoXvP7m7zjaF/y1t6gc7Qs2KF00bWNFdYLczmTkj0DTCDydEPoFLlD2846n dYPh7dv+IL8D54+7f0B+B3pES77qbpiA7Op6LddDSsFjCbPSW5IkSFfs/3Hj pz7obHgtI1e/H2Q836GwR33w//yfwAMCBwg7JuyasOcssYh8sgYVevplRy8h eWTHjhScRnL4oPTgKzzWCB1jK+2ec/cA/7AdAlcGx+A3x8xbM6E58Jm4abr/ HA14SEYlPPXvAWX/XKXFS+rhmVMD44P6FMAvlmeeUUqFlpc0a0tmGuGwo3bd ybh+0K9K/yTBbBTeOWXbphlSCn+kdMvqbZgAUZs3fED7Ahdiw7/fPxgCl648 lAvWKwR7dzll8lZOgSjJopnb/1zhmHDG06Et44Dn7p4+zc4eoKBc0+GJ8i6+ CNUiM5R3lV/RI+s9pkFueoVtVig/UwcKo/EoX6s99jx3/f4A2P15OLGIfhAq JalWoVfQFHhRRq6vGxL2QdgLYSeEXgk9E/ol7ICwC8IeVjKC7lrodoMTpRJ7 UV4B9rHLfNhB7YSmhpt+792WB5NN/LHfA9EfvvFWVfngMf/OjNsMxTC7UMdt 4XUd2HzrgE9l3yTw8GFXXjUsgB81Nz1GeAAuPVjqRTgAaJ5XHe0YA2DkdUVn hKNApedypG9yLSDslbBfwm4J+yPskbBD4z+2H+wMqZA6n5n8ZO4FdFA6u+vl ywF4nOV+zgerSbhtol+Q+W0z2OVFmcxtiYVefLzmD380wbvMvSN0QiPg6u4r YnUbBsHu4/XyOA95td/GBOUhoOvC3e04D4nZIxZxd7YGOlgbVtrN1oBLWyuK M6wmQZlez+E1pVzIWP5FxOFLLLB/vq1ep2kKzIRvLrA1pIINgnUvPi2/ANcC rpDRev4vDybyYiIfrg6qsp6szIM0dafzt6wLwM95uUbDyCnAWDv61kaVCg2j 13c5+mVBiTNb4/+i/Lw05vo3pfNkuNJccq1z7wB481toMfnxEMzmHSM3bc2F e8L+XtPdFAjfP/GV8CRNAeJ/4n1ifAvd0zSN+3mQeP189LUvJXkKmDxz9Lz+ NBXG7GVsipGaAHxZgseudpMAEUeJuErE07r3dOe5pFvgpQo1N6bpCVCmznZa VbkMNGpo7cf53NlalXEU/8Hd+PQfOO4T8ZuI50QcfxAS+XPb22aYX+1mi/QG lKPbhpG+gN1MmDWLxTBsXhb+W47im/nLD9q7UFzbqL8guS44At8snZ2yQvqM K6SvrUd6NFW++LW2cQRWmaiYcDAUANeDmkEubENww/NHynYKw/D1QI9yN8KV hbveN44gPCHyVyKfJfJYq5xSD+HtpVBe5EncB6kBEN4p2v5FiAp3cYwoX0H5 SqQP+wmUv4ATgybdOG/xGC5JOGecCm0sBHdVi/aBlT6BIL83NNho+StNkD0K esceDZDNo4Avm3MThcLGIIGbBI4S+EngJoGjBH7uVAvRw3nDJnGeNJRHAKW1 +4qXUf5Q2flgOp35JzyRd6frK3MfWGWje6xqSINjK6EO1ify4Ll2i+/duv3g qYcK3WmmMVhkGPHjW243dKAdnj2kPA4lrjDwXFhK/r+6hahjiPpFbPrrQWyH Y39MrFIQ/hz5d0cH2yERn4h4RcSpIyVx147R4uCenLVse8F68Et40y431ilQ lLKFK3W9B/6yVztuj+Lxt3eHqhau9EJG++kDYrNkuDNoIqq4igZ3/hSRkN5S Db4W2vo+RPcFUmGt9sj+85PKj28w/3/rKKKuIuopIu4ScZiIvyyA63Y6uu8P j9uOtqheFRUMjFy+0guIuE7EeSK+S3lOu+H4JHdz9AeKV2A857cBjlOUthPM OP8be3nqNcoHQVjPCQN7lAcSeR6R9xH5nve6o9y9H02ArnxpHONM4K9zQcg+ YbIY53jTEopH77hq2pRpgGMHY33vSTJ4J8jW2o7iF5tJoVujeTrUlXZJV3w8 AH6ntlSMHZ+CZ6/0vgjhK4Gh7jpzjAnl4IHtvV60f1h1ac0By6MhaNoWy6HR Ybki5hwN1FBTXvHKNYG6hD/icQJkcKfIIwbXvap8PWK4nnvstDnjAKrjBDuu 7RuoHoFDdxhNnLQhDI85Oh3BNAQTW9YN7iHcI16tvXe8zUR+KWZQ8grHD4vx je3YXm7pBb7FdlLJtfMBxmWBJxMVWA833i3wYfl/nrX/cda0EXBvtDBDdTkI eLJ4lhxVC2NMGnSDN5RCmdJea3sU38vY1YsknIdBgkywWERuN1ic6elC9gkE vt/mPbeUDLvE7trw2I3D5ZHmtwcqycA47YrAgU1ZMKau8DnG668tEzIIv4HK Uxc+jNttkcw/UL4I2VJnvqD8EWxLPnTt68FKWGWgVCU6SwZ85kVJyN4Azbid 4fiWanhrfiuLLcKH0k9XNUPRul7mMzJIofWs3Hs+hPHrQyHlLL7PHs/hbIxj 7mI/9KLP0aB03aEmAbkmmHRfMTxRgAwFbWbDn+DnIrsTMrPXe8DNv4W0RWTn 2Rtt3X4jvXJJXH5GQnmaQlP6p3NIv+EG52dR/QUMzcXseAZ9QdXdJc/mNRLo nSz2eycwAdxVlW2uZecCdt2so9dTSCDwIOPiVSMa9Ev6dKjdvAkKz96cvhfa BfTnegx2IJyMtljr9P2ZCt9J+QltLRwGnsMRV9+cngTOS6efi1U0Aq6JUoGS oxXg3sr6KK73j3G/cET5AmSpk8/HeYLOAv8sqq+Bn4vPaSeNJmDWGaPL/ysR JCnfMQ5D8zIOf/i5wWIY8MjIPtiP5t+2O/iv39cpaFoVYCPIUwob/l0YsbYM AyzUiXd2yG+L/N48w/nL9E1uFjrkv4F0nZczkVxa10KAHcKBqDV7p3kkn9An Azew/5gLx0sifwLaZlYt2I/KOG/FpU6OQgaRLrtzMV3ATf9AX9rObvx7f7r6 UyVQwcAphazcBN+e+fg5SnsSSB20kMTPbYKVbqji5yTK9px9+DlJpsS7eRTP 4CbeVj4c3zY+TPush+Jas8D0DZT/wemNPUqzKB88HN/c8AzlgUryzs+xX79O Yij9h/Ko5frD2hvQelhcXghube2F+R6esMx9DEwUOJdgP1Lt2uzxgzcNKG/f /vbZ6ylwm410KnRzGTxhwxqMnxcJjTrn4ucho423NidkZcGQAiORQc0RmGeZ b6Of0AALik7YOioNQukkgSXXaQr8bh3miZ/vfRsN7E18UA45akM2ofgKf3pE hPJIt4BY2ymNi8plsK2NXRLlkdBwj+O7OyivJLP2jGihfJKoo4i6iqin7v90 TzGvSoK3jj1y3nivEeUX/75WFkwC3vOrm93QfaUz6G7h5208LTKDSQ/KQcT5 /cF4//f7Rj5gvXxOzxfDchCelw5F+4S7gnfwZvOmwbMaNbdCNpcB7lAtu6cM BbBKlK6ounEEjOocrkDxF6x5jNwhgyagXWswWeAzCTyVP349xZAJd+/ecQLH 8RCdkKL7CC/lfWZlGxBO/igRudtTPQJCDTfxpGlD4LFwnimWaQhMpx3tPvdk GLKa0kZrf7yBh0XYNAtqhiFbik1OlOkwzL+nrcAgkQ0VWw+IFacNw2mLV325 psMgsOFFDelINtjAq92cmjYMRq8ZLpr4IRw+GT/weTUThIwBA/24SQAEPjZf fDIM7pRd2MYP34Ai4XbhzJphwEc7o4mfs1Vznpd/g/JhhwzJ2p0oH2ZwzuFC eT983NAppIXqgDfuAQs4/yfkS8ibkLPhPdcS+u1UqH9KhEOouhSaHd47evDC ACDsmLBrwp514/Zr64NGOCVKd6zqsTfoimV4OvZ7Ehx4cnEf8jdgtun/oevN w6n8vrDxBgoliuaRkopGUZGzSiEkilA0qVTIkMgQIUOpJDSgNJkyq4iUbZ7n eT7HzMGh0KDw2/vzfnfv9fvj/eu5POdxnj2tte573bdSnMLxB771B2qvmr5A DR2O35+vzQRryVNpuG7AYCSXK64X6NG9ucL3ML/YkX5y7lEX8u/uf8jSx/xi 8sNXX+WmdvDYfPmoWWUp/H1ftaA2pheF3zt4fRnGPyKbl0a829GB0NaB714Y /4SLN+7o7ehHQz+Lr92bUwFSWgsbuPUa4fmvovh5j1LRlUGFqzuT2tDRw3Xn 7a+yUdjjkeyLqAHo9euI7r52TTbQfEHzB80b+bdiHyYsboM/phDU9K0SehYc kZmn24dkDvVfOHCwGebVbTfqwrj3qzh/S6hlF6xqfCD/DNfFyCDZdlInf5zY tpsb18dDwX+zrDAvqKqW+/wU4/APO/hNPDEO13N4UCZsXAtae/Vm2H1sgaY1 lw+28rBhfeIFQe3OBuC+hK7z17TB6A8jow04P/md2axFcOyq3Z/lSX0RDlIT J/WFjoOOi45n5vf5P0nf+b7OqCypd3rZRotJvdt1VVXBYG8p0rx3szg9/Cna 7HhOo3/hENqrq377A8ZvWpWZ8HIOC7lf+2RwGOO3aF5TR//6N6jrce7peWVt qKm3Us7hIRvt+/qkP/pDFdJZvfvrUk0OHJnN/qaWnoScz/CVl+1qgqAFcq0s Hha8D/x+Xn5VL/ipfWxzbS5BGrFlFaKan1C6WKXm93EOan5otVwN49Uk3762 WAkWUuUbtXuL8eqBWx+tZBlf0ZJ1PO8nToWhCLtpci6ZQ/9+pp/T+xKF+oOk v3eM96kYqY95WqWvSX2k54yeO3reis9xyy6V/PLv+ubX/Ngtz4dQkr30eVyn UKmrrwKpUw683MwMXKcWiPgXk/4YvR44L75ILbADfbBa0ze9sg3V7k/mVo9/ A52ZLObzB/i8uaSn43VBhey0UbxOIMQpUlRNx3F/9ic6wM+Ex7cnC7jLykGc 21DWPJ4NdD/o/tB9oetF14+uG813NP/RvPfj+R4ZwsPp9fP8p3/kWC2Q9sqV 7094O3z9y+nbPFwBl65HvBS71Aty5+4wJaEN7rclfmu5UgYR/De0JvP7YGoj 42J0eTmy6pTkOsjPRCefzQmQjGf/4zmU91C+s+nMTlnptlKkutLouf/WNjSs tDs/vqUPfc1XNqn+VoHi17P3LI5oRzf4FxtnGvWi+avdDxF8E5faNpPgnYfn bs0lOIfmI5qfaF7SfrKD9yvO1/lFe0ubcP7meanILYvz9kbZ26a94U9h4c+5 +07vLYXNVo0b8LoB5RWUZ1B+sTTjKWe15Jd/V41OBSe87/B4nrvO+KkwMJPS UZFjfAWzP6qy+Fz9+/nf5/+775PLl7fy2kN015kv7zhUwMDphO84H6LrUfv4 /edUoJcGPTxdHf1w+fT0WH69RuT5Jvc8icP5itrZBIfeeCh7nMQj5Rv/+Mf/ eMeKn546vJqfoE9Id7dDcwkEoRihkXEO1PCGX4i72obqf5WsahlohrJnl2xN gv4v3qL4i+Iuylsoj6H8Jbdp26elOL+8mFq7/gLON/KyGY7LcJ4pEt2yjjy3 wHt0exTmWeYWIm0EL9E8RfMWzVdnRgWjjHF8qX2o5uQLV8LtG/e1rHF8Nbpd Fs3byES315WNvJYvB47K+08v0tjIs+RebCHOCxb+Ca+cZJrgpvM2hSiSH/6H IymupHjSeousplN727+rt+iHJccDO0BpWXRmhlUD5ByXHPDjaQK7KyYnLQXZ /3gL5TGUv0RLfz39Cb+3M3x3fKJHO7ww2xhw9XEn2CRfOGuMeQW9uovGHsH8 Aj3l+pbDwnxEoOO8Ygyu+8rC3NdCcN2nuh3V8ah+R7+Xvod+/5nKEf4DGCcI OZ7xl8B13NvuW/VnXMeFedM0SzFOOFp//2oOxgNNCep/gzAeSJgxV3LFwc+I /4f/alXjIRAb3LaUyy0bfb3xQWX/wWbEkIoMZy7qQEpTpVFRll3Ii1P89kB3 JcyV1Vsxn7cNToRu/z7vfB9Sf3C+THhrMpoSlNm4p3EIos4t1JLif4Raltzh bWDfR6IZQVvmvRyCmpODDV33sxDVcamuS/XcWw6aU3lpDf+uB7/HXN2K8Wjh bVcXq6pSQI6pBWrN7VBwzaFqPLoXUV2Q6oRUH6Q6HNXlqB7HtH8V4CrOBPlM 1tgUPicKkwkeuxEbuQnuXKT2vB4lOp+/t12wBRnoO5QVfupDvOzv1dWdDUhT Zf9G0l9v0r6jyYt5jtGDm1xCu5qQ25IJa2seFnJQc+P/vKoX1eSUa+B1RO5P x9yXHPwM79JNwqa5ZYOWy4NleP6oOyNnRT/7PlzVks7tuZ8Fy+Z4qOL1QkEu Pw15tyZDCUwLked/BB1DSoz6xnaUavRpRRnGJ91i7n5rY3uReOoTiXSuNnQp LLVIZrwSbvgGeckZ9iGKUylupXh1y2UDw3CpCnB0mJ3jtBrzD6bXkuOd7H+4 jeI4it/gfloSyafbeJVKSH59O/A1iuRVylsoj6H8hfIHyicoj6D5l+Zjmoff ZFxh4nqEjJuPHyX5fmE5M4zkees9kip+tplIXH9/hVldP3RIXPIf39SK7qzY 7quQlIyMt+8xuo95oYqHZO7JuAaUc3/jXNZOFtg2LHh3uNcZfoV9MD/1tB9l hHnHja9lgb5A/irpZ4mQVSJ2MP1WP3rYMfeUs0sT7FsW/yEH541gLxFTC5w3 +GMK+Y7t6IC1g7O13JdkwR/ztcYaGO8pyF78RPrM9Fo2fE2Z9JlFRry/Bie0 wSwt5Fgc/hXSIrbvdb7ERgdSRb/di2+D8epLSxyMXsPc1CqfyhA2irwylkJ0 wV85MoFCE/1gbBC2uux9K2qTH2l63uGLagoiJggPfmcsnIj5L6LjoOOi46Hj pvOg4z+erMMdic/fjo2DAbEe7ch48bKzTo87ER0HHRcdD32O/h59XiSiTou1 OQWafj1ZOXS8HWauzs7W5mUjuo50Xel67gvzOpPKmwHTb2d5F85hQYDX6ydK +v3w5VO6QaJBPFSZiEpXSLAgJ0r4xuO7/fD3e5VVeccbKMjlt5lf1gZb4xhb LB+ywVV8TuY4nteXCHGhCjyvW3P1rbUs++Hbc7m7kQuzwOt02EWrrR0wP8nW 9s3GPtgh7a+58m4qRO0vbZZIaoNjXqf3vb7K/vc++n763mEJ7jOtGGeceD3c RXDH3z1NSgRv0PfR99P30vfR99P3Lrm0iknel+x0YuUK/P6TyysPkPfS+dP1 oOvgvi9Fh8zzrthXVzLvmZ3SB8h8Jyw1dh2UZiF7SZugDfjcvk5qDRDF55ae Y3qu6Xm+9tSzWXQdC3XJaueJ4n0YyqzvjcDrT/EcxXcU11G8RfEXxV3Nh+35 rmI+MyX2aY8NPl+nt7zykMPn6urCGZzE920oTOfBhcmwr7BfXzE134j9j1dT nk35dVRWRhrRzVs9d68S7fQFm3oZ8+rJBqD9BdpvoH0Giu8p3qc4n+J7ivcp zqd+C+q/+Oe7+F/fivaxaP+K1idar2idonyM8jPKyyivozyP8jvad6N9ONp/ ozoQ1YWoHrSuin/LSHUbKn8b/6cN14d7u7SmLcR1YVm/2YJ9OK60Qw+/v4br Q73J2P1MXBdoXaF1htYXdvHdK8IT/Wj5Xa2+mrEEkP7Lii5+3wq/B7Lsr9X1 I/+5u+a72GYCc4ZZw9CmVtgv0DhGeEt33NuthMcU+s0zI/xlwTf/vHtigyjo ksYL3aRkeGx47JhBXAN4bcnhWYTPzxNDDYmfzxIR45ZoTcytfli44ouLON73 iHEDCd4br1F//4MrSW/ZAKb5Wn/zS9Eru7xZtQ3tiP3i7kh0XC8sceEcuo7P 7e+LN1sMBVxQxNiRRq6n/fBqk2XGa4zHSltPrkvHfEf/5d1iBo6j4LtrtUlf 9aSy1jzSZ318KWqc9Fepj4T6SqifhPpIqK+E+knWv7q9X248BqR9l7wivhXW 33Xi5ceL//laqM+F+lu2fTC8mnK1DRaebllSi/HqEY1tfy5ivPrr5bK/7phH zStk/iW4rv+oqYM65lO0z0j7jrTfSHVlqjNTfZn2WWjfhfZb2mprPgff7oBL qzubJmY1wJ3TskZiAt2I+mmov4b6am5oXZgxfqcSDd2cyR7sY6HTS5Zq/7jT 968fSvujtC9K/WrUv0Z9a8eUJEdIP+i2XzSL9If+DIYcJn2hDzanPGKlKlBt a0pa/JpWJOkZpzDZwYZfd26uctSoRHbGzj+In2gu57Ljuvwo9KfcZT/xDy0W v9RO/ERclZLXiI/I5urkiq2bmOj5+xOzBPaVo8Z5n5eLpLFBa5PRzi4lFqSK vOXU2jQAc5VLYqZZLzIv9V5hWhADgos/i3NfroAHXqyovC8c5OCSP/Blcwt4 pO3ca8xVC+01YVPnDrIR8/rZLNI36Kuu9CP+tXKj+bnEt9ac+kvedH0psrYW l1Xsj4CG/OZEV4EhxGXuBI1ymWD53Z23WqkS1ifrmoVqcf75qKivivqpbqnM dCD+tgGzGPaXRxykoTy/Wm7mR7h0f/XrxXgfvzsvVn54vhvCBEZn1OB9pH1t 2uem/W3pBSq9hVs7UK9ulMT+OVnoy5PR0RZcFyZd3sY9x3Gk2HIgV/zDVzR+ f/LXGyM2qK0wCqjmS4ZNmrziW2Y9g8Vuyds9G4YQ/Zl+Tu/bL3tloH0lBeh1 2Su/622xQ+jn3tUj+Th/Nm0y+E7qyz3PU67KuL58cyy48FapHf2+F/HDfWMK oMhpFuuE2SBf2saVhPPD1OPpxWm4DroMfNMNxXVQ7GvwXdJvvZasLtCp2QPI oe4h6bs2Bd8824j5wFrGeSbpF8pMSlSSPuFWOSNJFxwn9Gos8p6lgeOF9m1p H5f2b2nfkPYRaf+we37Qs/s4D8N9tww/RgjcrGl8WRnMBm+3moveeD3TVeJs gnCdXaU2P8Abr6dUH8+5VJxP5HYcnpjAdXmpf4uBHs4nbwUX8n/E51jv+9lD TzCeLUxaJjO9kw1LeUu+kr4DvY7uWyNGcFpGx5JENq4LDVf28sPBZmgZSHj0 xrILSjZqrSN4bte+5P3keU3j9Ll7WS3/fAbUd0D9Bu2RCaO9wm1omYnofMm7 ZeC/uO5efHsfiL9beKMuvB2NObE8ANfbuDO+j+VxnaX6N9XDqQ5Ozw09R/T8 0LxJ8yjNn4VbRW8ukkpBxXc38/jifZ7SKX03B+8v1cWpTk71ceqDpL5I6odU Nuq6RPQMl4mT/UTfmGhYE0N0jXtvgk1Iv4lzJkif6CSxCfLTiT5C/QTUX0B9 BVQHoroQ1YOOxwlY7u1vg8vOwzMkO1vB9gGnzPp+F+qzB0nSv/75VPEs6Wcv NykVJH3s6xWSem89mCjV7daJXqkOsHPTlpKV6PxXV2idofWlzEZtZAzXrb0r LPlIHRvw+lNH6hetW7SO0fpFx0HHRcdDdUGqE1J9kOqUVLekeuWtsD4ZrYAB dPRlzf0Jv2aIFru68saOMLgQqsU9W5mFBJWaJZpsGpA9l5FQlFkv6HE3P3nv 04K2HBScvYK3AQn2yE88t+2DRcvm9HSnsdHaA4HVTmeY0J+/fEN/aBkoxh/W z7nahrpZl+0qB5pR1dD1b6eCumHuJ6NfYbc7ULxI48lZsxtQyQ6RD8sFuiH8 sQvn/LUv6LSP9o0/eSngd7rslf7bIdTqtEomSOcr2qW346XNiiAQ+SEcK5o3 hHadfSFYrMRCqrKFEZ04P8eeOdxWhvMz9fVSny/199L30ffT99L50PnReVG9 hOonVDeh86Hzo/Nyyfw8uqatCSUWqB6dvqwVBUbPWLT5YS9QPzH1F1NfMfXb Uf8d9d1d1g5IeDrxEbHemVw09auAZ9eiP+pGcFDGvCvDzri+0+v6sA1HNAM7 /vXpaN+O9uvCz/AoMXH+mlG0So3oRAZh/pNuip0wv6RiK8kP9MqV1beS5Aeq F1L9kOqGtF9G+2e0b0Z1WarTUn32+SnPecRPQ6+p/g4/35tzYCt3e/rCzlZ0 tOWo1+7+NjTb2ovH5X4X0J/p5/R+ymfP+Dd+LYjPtCFQcLgGOFoVecsk2Wh6 VNSVy8HhKLEuW3mOUjIs25KYoF05hIKXf7e+huNa0dLZwxbnpYNe7rddcFzT OkrrKq2ntH7Tek7rOLclW2h0XS+a6KjVeaHDAtUPowbEd6qgd+hKDsYhz48J vDuE879heFlwIsYh1C9L/bPUN0v9stQ/S32zwiPLbXaPxyDR6SN3iV9476PJ porjxf/8xNRfTH3F1N9A/Q7U58D37MedtBPtiKN2vXX6Yxb4jbZOEzrS+c+H TX3Z1I9tbqzTfb6xHY07qbctryhFcauOmgTH9sJYwcEf78ZZSOa3ZHTZu0q0 w2JNTeONPqC+Xurzpf7eJ7y7Lg/fKUEWyzmMszPT4YmxpVA+i4Pmmd7+Q3Bh ua5hEsGJkQo7zhF8SP3H1I9MfcjUf0z9yNSHTH0Y1JdB/RjUH0P9MtQnQ/06 1L9DfTsnKnzCr3wvQg+VMopt8TkscDnv/sGcgwLCh+4QHbcxd8XcVNEEeLlh 7X96Lv+iBwLLU/rQB8FOPuIz8S+625geUgSnkmLOEd/a8/Y3f4kvpXSvYxHx Y+xdg6bMs3vRQP6K+XfKcf11/DrEd6sZ7p/rf0T8MzOe31MnfrDdvz+4ED/Y 0660BhJfC77uXDdxtxEu890TGif+Pd5BITI+eg0bXvIFxwvyn3iTTXS+wG8J S4LXZgKv2ZI/MyJzUCff8wmiC/otlT9AdMJ3dsnVRB8sDdAosMd1s3bX32sE R7ezzjsT/Ez9LtT/Qn0vlD9QPkF5hODrNd/XFGaha6emkmZhXpinFLRxyaEO NDnnIq+AYQNadUP6DBdfE/IYfbjIENfrCtvkPOI/XLa6I5D4i4QcXV2Ib4Ti YIqLKR7uCWDbvetogpEOxqrdK1uhQLspx/ZBL5pVnWUQifPye/uPs8bwORoo l36xEp+f2t5o38/DnYwrfy86LfuVjU7sOnxD69EQ3DqYMDqxsovxUqLhSpJE Hlrly894ZzsEFnN04I1NF+Nkk1IkT1UZ8tuu7ps1yYEThtMXq+p2MQ5FwJJ1 JwrRW4MUFx/NIdCdK/Bs699OxsuKa4rO2giFz9LzMckcAokRkZVvfDsZUW2/ Fu+q/ojMvAuGazuHwL2iRATt62KUh4ivn/OsBunMY4oEr+bAStHz8aFvuhgW w7nOc77VILEFamnuAhw49TeqK+h8F6PuuFl7WFIlmkrysPoTwIErkgv99mR1 w5WpJS9iFNlpeTv5/pQ4diPG8AmHhQe6wGlvwo/qyN60YykXemXZPUjpwC/O 4I5O0GAObHKY25O25O/dI9kVvUjhAZ9doUgH3I7dfnh3Qk+aVPNidnBYH9om 5b3Ek/x/4zt9eFTezYEssX1ePx8yUfHyQ7VzL3PgvaLCYddrA2lpXww/N3yr QicPNTcusO1i3HuQWeEV14T2R/c8r2kYgL916XuZ+vi+3ofUU371yFR8xqsf 9wZB2v60jK7GEGMjt/Fv/H3osrFQZ/23KnA6Ua8cdzOJ0aVWnLSsth8Ze2my rB8xIePdt//+vQcn+zd2F1U5aevVJs528Nszlr934Zu4wWHYOv33OTp+VQe1 4/sn3CKbtBRLUOu79cruhl3geH1lrkB4N/Bs3M/qvdfNUNrZub9IpANFGKtq 4/mCtuNq3oODPYykeQy1/h2daNLmxvXcil44csuEe6ZkH6PtzvVwvK7omvCW DLyeINj2zFV2rJvRMz31nmxWNxq/dXmq2LEbRHpbpvD+Qc9hofshTl1pqQeW hZN9fG50KFvfrx7sD1+fxn23O23RqTien3gd0iQcB/mqyuDyiLSny2z8vITo VXLeNoj0XsP7DZrfezTEeLrSFqf6uZF9//bz+VF8XmHy9e6Zixo601zkJYCc 2xa/FdvwuYQ5ZvtvCk3rSqvUsXUm53NXdMjG5b+y4VOu4FvzRV1pF5ZusyDn v+9gM8/J/k7GGodbe68XhaBm56IA+d9D//7dkv//dRiUyrprrYpC4NoT/pV9 FZ1p+SH8geT5e4774vD5hqkXV05fzOlME2Ywhsg5Hxn7Lx7Aa8mZMvWszjQH if8TF3FbXLp5n9XAoE2C5BH97jQHGXF9cv7tF8potuJz8irmTpQBPiewK7Ae nxOkw+S0kbi4KDPrA4mLy2WrE/F6IrWs9hxy3vKkk5LIeTtef+EtPm/IHAY0 SJwaHHI/TeJ0THu2E14HlHS2dM8kjnf1rthEEu9+e31k8bohv8nzWiTeLyyZ mU/i3fHDBR+8/mhL2kMvkjdkfyjakLyx1fcNyRtITF+llMTj+Se/Skg81tqE 2+B9QfOteo+QuL7h9UeLxPVtn4ileF6o0vy08TXRXFS50b7ls2kHCJ4UuDqv shc2HZc6e+V3HmpsfBH3zr4DFvUkb4mN6gVZ2fYNr2vyUf7Fe1o/PnfB9m9X +9/hc2sy2/G3qmUmWnnn1qGNbl1Q6bm7LFOuB652KCj1cDLQEHfutQuJHaA1 f7UYT1kvtLwekpiunYdC36VemnRqg137/wpFrGdDja6fg//ZDPSQU7w26Gwb nK666HjKjQ3uCy6NnqnJQDxnDyfUHO0A651b9Kat6gPYXRY70puHbrH8696p d0BxbWTuN/z9Kj4FUROmycjwo/Ck5pkuULngtfZjcA+YdTtdd+n9hHrd9ugd G++AHyrHBtxxHO1yV16sLvAJBe+ZcfWWWhscU09NbMxmw/pqVN0Sip83C/D9 KtMBesd96heZ9MFmyfVL9zaHom/yzxUynmIcaf1Qb8x1EHhdjNJ7kx4xxLZ9 fEviaflOJwESR7l8VsbjwaFoyKy9XyW3BtYe8x1zw3H3O3bp5Wznu2kPBVK9 5+G4ZBm92Uri8fWC7dLzexPRIPdgqGBoPZwcDp+TeGkQ5Iy7omV2JaGZEduL eHKaIHFb6YaT7wdgwcV41aObwtDVo5UvmB+bwCjb8QNP+QC4HJqrcEzXmxGa c08En0MwYUnnkbz3Z1TwjCM7Ef2qm870VGmD6Sv/Gv8sYEPWu2lvlOZ+Qn2N jn7N+9tAQ2aX1YoiNggn51inaUegjT56xnyqXeA1pPj1TV0P2D5Dj146hTCa F2QaLMJ5/ZA53xqSfzYtMZfe3xuOcq66huat64QlRtUP0/E6Pzz5qZlhfp3x cUZiCcn3UklhV3CeBxOvVfaWvuFoYUNz3K/1HTB/lbJ679M+sDHM8t+zzSut Tcp5C86HUJxfaEjyYW7OhZtr+cPR6MFr7yWt2mBadZRpbz4bYjsFPlQJeKZ9 0JERP+vaBrN2y20h910nR0487IlAgbph1fcSu2GaZtXfOpwPV7qUue8ICWNI jiWryOF6VfxJAkieNJDTa3rZk4zUfJZ9tb7fDbrjPh/K8X2/tfFnqmIy0duN PGsrlLuBc7DdRQnfr9FysjPszUfeW9yfxfV0walFQ49FHbrBruZ1eASzAp1f oDcjnNkGN+ZpC6hO9kKDZrvgIvMSlBT8gZ/3XRsUbZjoJfO6qZUy+oNTgeJl 3JRhZTssyE5Xn43Ps/vVEEG79hL0jf/9qXnZ7TBk8fBGG163QLuh3YqWlUiO wd2Wgs/zieU6JiTuxGxOR3aoliJdQ8aXhPgOOM9XrBkj0As/NI68To+pRJsP 2aUezewE75BI73A8fqRUvC5EpAyF3FnorXShCzI2okkffF8ntMbpeEI9Uria eGXKrR0qdq0PSpvoBuXjRzelbK5Bm3fvzNsq3g4Lz/+0jxXphfAFrA0ZPfVo s0H24NV5HaDxwXzIgNSdn/nlPYU1aOuBojCRiQ443deycPxmN1y+f+4+Q7UQ Zdq5zfQv7IJ3RyNk5J26wc3Gt/21fRl64mM3Yx5vN3xzcbwP1V0wvyV2wbIj 5Uj0iophCqcHPn76KP3kRQd08y3TC1tUiNBI6aVy0164vfWPi2pwB+yavrRR O6IcqRScltb6i9fdYqMIR7Idpr6vfhApUogq47JHn9/qhW7LNh6WewcUnFtv cFq6Ah3QXhfGsmXD36ixhcd8maC3xvjkU48i1JCSJN8wwoaT8SXL894wIT8j OH1GbTVSXB0Z+0euE9pY4/eK8Pjly9esbwqsRBuLYjX0OW3w11DW+hrer6IW 5+JyjXTEeJTwRbS1Cfo8GI/03AagZeL6uWOO6YiTUcE1nloPA48ksk32DELJ QQnlR8np6PGjh1w85U3gfdxl2dTtAXiiPffphs/pSC/kmSuHhe+v+x5edmsA RF7/8t2yLRppeIgqawfXgGfFty6V+RzwcQjazxWeiJbfPXBgTngNrNjUY5Yy MQj5OhU+2+bmod5X2y2fubHAxulPpBWOd/Mc3ts6KhmI2V+vWjjKAtvSc49Q IRtAIVP4anUOCn61csK0ugZqszeKDfkPguOJjbL71NKRdMVfoaiUGuBa5OQd W4nvF52x0Fuai94FXvx+u7ke3jvPrv/5YwCMfpwaU7uaix6f/r7rLU8zzL6R XiS4C/Mfp6ClGaq5aFU/N7pT0Aj13iEzG9wHQKrHO2kGxjk52XUXCM4p33jp L8GNWpvVAgkuumVdlENw0fGkz4IYF6HDR3/GEBzFxbV7McFRnvqrrhPceHgn J29Ys4ex7qxn8hnXNnTv/T0bnB+Q6g8B77XNuUjT+sDqwzeHYNhv8fYFgvYM Qd+O5lkOaUjx4EBnSs4QbK66fLs4zoGRw/X5tPloDirek3n3GXsQkrMeZ+l2 VEFphHw7S/Ermr+a/5z7Ng4YdenyPOivgi/ew9MjXxajtKRnvz+/HICCt7VW 4bn1ELuUEdTUmo30A0RE2qr64cF8Rzubqha4xjngWIvxof5OnhvunoNgosDf caW+Cjp5LtoccIhFBzUqZGy/DcH6MpG4RbEODOvyQ0tXK8WgfcWZf1ac5IDE 3iMO1cNVcHs84oSFQjo6/ym2TM2zH3gC8rq6ApigbGE6y8MrFUXpBFRkvsJ8 dNrbt7H3mXBo2rJP5WdSkaRN0J1phv1wdKfCn+tSLNiUXFfRcqcKrbm4b3K+ HQeqdtxdmrLMnhHtJ835OL0KXe4asxO9woHWt74FHTWfYMT22j7WnCrEfdvY peo+BzKl/NfIfXZgKL6WjH0TFIoalR+1xAXVgJd9W5H0Ys4/XOdf9M6eD+Ov toNv9hHctRHW7XtrX4pEzzpKnxYeguurlt+Tf+/A+Fp+sKr0Tjm6kycyrUlx EC6e3bRljFkFtmFmeR0Yn+/xtvigj/G5k+yREB8fJrKoSxAgeN5dqKmK4PnF n1cUEF7AVKq/6bt1L+N6zhWpeZg3yKuHXKnAOL9/2tKSOW5RKEn+2d3r+f3g I3m85wnG+cjEsTJ7zwhj9YtTntaYfxT3xXhI+zDheljL115+VUbZ//7dtybn VJU8vC/tLMvfTufzUZfmB/krFW2Q0sUwEWP2QVva8s7TRyKRv0pVXoZoP6xq NKo708YC5fhtxzcIDiG37yKLp9JKkfnc9efP1O8D9paVO+ZifLD5yeGvBLcH Tht6QXDmqQXHhcl6qWeuNSB49V7K8DGC64YLVn48ifHH58vts7gwnn9zQXk/ xiFI2rF4/C7GAZby20bW3uxOW1ZgW05wqXbCtRcEt//ZfV2Z4PaJnhg5gj9P aRwxJLjdfM6BEILb7QKrHQlefWG8Z84czAuWzG8OJLzgbMweE4JLC0LdRAie T57qDCR4ft91D4LnUVzipR0Ezwv6FV0keF4gNJ7gefT/wPPIrHvHNPwc9Dsb KRE8P5H//b/nD8Sa+xI8z9GI2U/w/EW3uwTPo74tKq8Iz/0lnXqU8Nw1D8UJ nkcKzKhphOduF9rwRwbz3JRq4W/kefWT/z0HwHGtI/h/9MP/eX6x4bXThNcU aPbtJrym0P6jJ8HPu9++8zIUzYUjHZfUUjFOnqnm8ZvgZKlS1rjJ7zxYojcQ RHBybEbeQoKTK/JuBf/pzQNlfeXnBJeu+WxhT3CprHVhdmPoJxCpEX5G8KQG u5xJ8GRIREawcU0GKOak2RB8u9F63lyCb31qDbc5936C3PtBJwle1RM5NETw aiTyHRzkZICHpJo6wdX9St/GCE7IGbNxDjybAa+5W2cR/CwoC0cJfhaWsAqY 1MqDEzofbAneFgrX20zwtpmj6MGDlpkQt/v3NYLbj/AumiD4odF3ZUBkTT70 StVPIzh/04D0Y4LzpWNOsG9qR4Cspd89ggM3THNsJzjwkE+VaXhPBOy5fiyP 4Cv3la+GCL66vvOLup1vOFi8vBRNcF3V5ohDBNfNCg+3uNQbDh3XHf0IPlSP fWVH8KHA+p9CfabJ4PreesNRjNuTNc4eI7jdvGfv7Tc9yWDB2v2J4DHDFR9i CB5z6GlOOiXwCZKUuo8R3C46ePQBwe2vFLv/5kqVwLONGXuVhBtgbsvFH2a4 jlw0XtVvVlMOG5S43cT2NcD5M6Yz7SQHIMHtyaCrfDHcdItY4irfDIvmnapM qukHmR9VTJHlFRB92tbugWszvNPmOlKh2w/tL38Um7cWgZJhpbzHzQZoUfWI isZ1ucK4wtfGpgiGeKX4Tv3C9bHAVQQpDMJxGUN1z+flIPG84cHs9bVgF7o5 keDweVJjxoNlRWDpeln72+wG4HVw36UdPADj172zZyWXg7r34vSgxDq4Um5m MoXHzz7YvTo6rwTWZKTUjCcw4Z1A9H/41m6/lVOBZQVEFn75rfSHCWfPSPKd 1mBDXPYJ07UqFXBt9PAsdZNWmJmxJsMV1/etuo0J/OYlcGqL43GCPx9V7j/6 EuPPKx1t+7bOzYPbTAU7ggcaQucnEzzwvkGOdby8GKI+sNYPspnQl+fYRN7r NOP4iHl1DmRtXdFD8IB/je5sggcO6Qggg6W5kBl3qJjU/Ybdr6JI3eed2r69 IyYTrnAGU8oxfn7VXLSY4GflDQandHvzYUPx2DjBzxnaP8YJfj7qL9OgeTUX nu8+P4vghP3yzACCE54Xf7D+qpoLti1z2wlOyHcc3kBwgvt4+a6tzaFgddtQ hfCyyoD4s4SX+Ww4tHxebyIoRdyOJnyqUd9NiPCptvRZ+w5vCoPyioZXhDdd kg1JIrzpTapezsFdSbC05GcE4VkedebchGcJzIr+jvEVHDHqUyL4auHpN//h K8Uwxna+8EQYuaG5m+CrnqAvZwi+OmPhyD3rZShI8Xl1E97nJLWdQ3ifmTtH H+NA6NVqRQQHLt7j5E9w4PL8g4IY10FG1i0Pgus4LkNRBNd9+fwozC85HfwP cY/MxjjQ/4E7D8GB95Ln9ZqzE6GWKTxCeNxg2mIvwuN2qgcJac39BDO/T90i PM70+4g24XG2d7Zp7VdLh9SKcn6C035IcHsQnFYdsWjjEcd0yGvZtIbgT7mn Dp0Ef8qZPFxxY28FpL2TdK3jLoKxicwFV/F8cwuXWHVuLIdzE6IljsOFEBxw ZCR0Nweakk88iJUph68OR87vtSiBooyUN174efoz/Zze14pbVG6Pf//WzByv Dvx9/q8m94bh76Hvo++n77XccdSEb0E51FbyJBtezYHlrIgcflcOCAjGHZft rQQ97b2DcUE5EH/SLY7gigDxFIN1/ZXAs9PZyEo2F3qdqjYRfu2ylW/N78VV 4O06/Qj3yxwwixXoJfui0mUzvpg/HJ5V/k4ivNIs/qUVOecyx1acPKqSAf7T +g0JHu46avyJ4OH164qnhdmXwdffPyv5MU8Jybp6ivCU2sCNN0qgCgYXKgWu t+6Gm1yHXFdGdsK+ES1u5SPlIHD3W8lHzF8OX6m+7ov5i0trwbldj6rgot3Y hUHNHsjKnaP7+XkH2B+Z3WEaUQ7Zj1KeaGL+MiassWcA8xfmI//yEwHV4Dj7 4KNY1Ad9gz+aUzhMmPRXyD/fXgKlL4ZFBTBPDB80v9mO8+oQ06T/0c4KGHDp Ev+NeU3/BXlNc8xrDlmc/GYaVg3btRS8zjX1Qc72qdANGAfu7kxyY6uWQvb6 J7aEPz7sXDUZjfnj2WHDzki1SmjIndilPG0QxuMu8ncOVMEQ12G2yWgN/D2U +vS8wQA4Z9fqnWLj+QSc5S6+Uw5enrP1CU6TOt9mQnDaH+ZJxfCXxXAxzG5V KsbD20wy/QgejmB8HnniWQTc9exlJZhnlezZ1JKMeVbtzGXBzXeqYHyl79YF GH969ecfIPjT1XpLW+L0Kjh3RV+b4E9Bj6XRBH8unu1WXNhcC3PlXgXadQyC 83p+Kc0oBwZXiVF8lkghCLqc4wRh3hdrmb+LiXnfxwFH38BFhaAouqSd8Mez 76Q6CX/c1PN6fK9qIQgv37qA8FOL1iJFwk9bZl/n4qqthmnm5+4S3qcS6WlI eF+R66Z4JctKWHFe+gvh45IXPPeRerro++kr2TGVsFTqsC7h3Ts2i4oS3u33 eFpcc2AlHBZMlSQ8cd2PhoOEJ6p+HyoJY1bAGxXjTaRvoHfDQJn0DWSbkz8M cyqg5ZBGBekPcBnZ8pF+WtFb6Yj0oFBY28csI7j6C295Mjn/Mbrj6pinw5e/ llmEp5/Y/8ua8PTkM6bS2gn1MPsX25/wepvQwnLC66vlnBU6C2vAx+2wsCjm 6byWgo8IT5eYV7AG83o4L87kEF6fbfl1mPD6lTZ9lYEiZSCVvWGM9A1+5680 eYTv3+3fXLHHtxIEe8W3ZqnWwtMv9xeV4fy8rEYzOtGvCnIVUjZFnqmFb1bb L7npDIBm8Ra/G41VENPL3fjMowEOCfJanXzRD87pcrJ3d1TDPKM7rTcbm0Gp wOTRr09s6Ht9oqfWtA5eeqru4jvUAlIWP038OH0QrFGfIytRDdNnrYn/+aIZ VBY9eBmA86HUmze/hPjr4EP11iNvDRrhQM94fQ+OawGeIaXQsNp/10rl6c+4 PvbD+KfRo0cma0Fm46/TS1sbIF/Mt76WzQZeDeWj9W1VUHtsc0J3WTOEPz/O NYS/X7BY8fFkVS4I+K1OdzzPhIc6is8m1fpB0nn16LvsYjCN2Wq+LpQJ1lVr tAxa2XCj5neL4K06uPzyovo0Cxao7ODuflfeC16yFa2rX1XD0yeR6lE7WXAq 0FD4vz7YyM8hhf5q0OqadkRHuQ1c/ZyfTeJzMictcLrF7zqoHmDssHdgwUa7 gy8I/rwtst2svbcOfEt075mpsmCX20wDCfz9Pqu8Ml+fO8Gwc+a7gvEwbNoY 8J30w6+D/gnJuhC4kqZyUbzuI3iqP7KYahmCoEAvIc7YNYaOwZPlrhgvB1at vkv65PIPp5VPdYWA8t894hN6CJy+XG6zTR2CLtP69adLQ/5dT4rJjFt/H/r3 vfQ99Pt//O26NYv18d+1KXDOe72CIRiV5nl+f/QDeJdPBW6fmQMei4K0nt0Y gt5Yx9e3uBLBQIfnlyNXDrh2XViTe30IjHVWLj8+MxGOxeiNnC3Ihh0rQl/K 4+f3XkhafmGtXdr0xN+I8JJyw99XiL4wc92b0+J/QiA0YXDlpj/ZoBN1edse ryHwNz3dMWPoI/wWjtziYoRgtevIk1thQ6AvF3Yrk7sKpL51iZZLFoH/fvtv PwsG/+E8ivso3vtb77WHX6IKhMyeevGZlUPzU8Zygjc0d6X38WD890vofosH xoN1gS6uBAdS/ETxFMVRjx7E5w1YnGD8ZV1RvoH5UGVm3VOiazxp87TfHIyg q3HeopXCOTC6Jc2G6CnPs2+knHNDUCgX9TWSJwNM6hSE99sO/ZsPnR+d19PO vmYdR/Tvuv2Pxfalt4f+rSNdV7qe9Hvpe+j30/2g+0P3hY6PjpeOk54beo7o +dn0UbltI96PoKkBWI/3p7I3WorsCz0H9FzQ8zCrKt/x06t+eHBys8WrO6lw Rn5L6fB9Jhq+o2Y1dA7z86zDIvynUuHeqNCdECkWCl6f02fk2Q+Bx1MKZBTS obSzudk7gImYcSkupG+yK7dJ4Z1iDFzQ2beocbgKnRi+uIv0WcLV3zYqOMTC msA3//Vb5t9fto70d1R7dpT3KH6F7Mj22gf9Vcg//u5/faKpVr8fsxzSwH9g wX/9orX8koYB7EFoPah/WXc0B2R1DVVPdFSh97vsV5D+zvaAmcatiiUwwOya f6W+CjXUKGS1VOHxG549IcHMhqbmT4usq1oQZ0tYHukfJYd4csJw/ZzyFma8 y61H74pc9UjfKr/05qtVzbnwu9L+LOlfSdWUzQ3I74e9v1srN9+LgjyzT/YT PkwUYq1bkCvWD4w8TCVnRwM3F1/NlwYW4goc7ST1VEH+4klST5f5t3u31XxC Qp7fullzqqB+x41LpJ/jFD+Ll/RzFrsjMYtD5UCv1hOrU/SbBv/FCY0bGi+q FTsDSDwYSUQrkfh4s11wMYkLis8oXqM4jeIzitcoTuNd4cpF+kEuW1TOhNmX gi/z+hnSF5I6aaxNxufOI3GuDY/XPMp5Fhnn9jXRN8l8rk4YzSTz43DSWsi8 pAQ2qRNcYnUmkIvglDkl0mkYn6A3og57CM4Q9jtwluAOH8hYQfDGXr3RBAHH QnBfjg4rFiC4o9rE1cI/BO0ZuZ/nTsO4dDBMnX9aOmyv2bflZgoH+DeEnS0P KIRNy6PHGpRz4PeTuWMP6jmwN2sP/4/LhcB6Ii6ZtSYRxqbc2ZukhuDrhVad ou4yGHeavvTuwUTom1fSDCwOXL7T9yAipRI8rbpjrYxCYW/M5dW8vpx/9Z7W f1r3b6S3zx6rK4PiPcP33sqGwmBWU6DkT4yH0wOeZGZWQtjwrdoOi0QYWJgZ w2WPv9/r+CrhU4Xws7bwj8LiUAjoWn1hn8oQLIsz9zJ8kgvzh91m1c0IhV/B pmFmON71gq8WGG7K+Xe1mfTe37xiCBaKXGlfmF7472ooKT6PjJPOn64HXYeg Z2tGCY7P4xPzILjeQswRETxPcTzF9RTPMy4s7xWvrAQ+hVqLBpF0ePmC78uF o5h3qFYleDBqwGCQ91dEcCIkLTtt5yDI+cfTKG+jfE3yYZpekW41VNf6h0XL pEPZUzVdd3yfzp+uB10Huk903+h+0fWl603Xme4f3U+6j3Qd6brS9aT7SveZ 7i/dJ7pvdL/MZL4kX2w1Y6xlLwCiz5sGnrQluvxHkc+b4rKd01hBu+aFJ1WC qWuzKdHl3SQkVXn69RjW2l9CSD9vqe4pe5KHHa4bhnQVXktzsVrWjCTyYLNX SWkEHg89x/Rc0/NM153uA11/uu50H+j60/Wl603X+cn09VuVcPxMtQc+FMTx 1HvMZKwZx1Gaxd0Y77g2eKen7bghig1vKnxyL39wYIxdmhTa6ckCi7XsDlZi H+iwtwS8G6kEZvGPOTL8HRB7mvdFP76fkLKI93a0A0Pddpuv2g0WZDJ3pWf4 9UFi8MzDC1qr4MGazMhwtXbY12IuYqXeC19kjTKetFTBsU9V61N8WOCdfMDy 9ulu6JWx5bzA/KjtfMGijxFt4NR5dxZztBuuHEnb1i/TBBlmfZ9NpdvAJHFK jqujC35p7q62xrwp1oihIDijEVKrUibcY9rhwEkx0xzMC4zlJV1meTWBvQRv 6u/tXZDbzp8q+qoD1Bf6dfa7N8MG38vzxmd2gI/xkHKyaRec3Np6zzqpAc5J /fyk1tkJntNzu6/f7wRH0WalEydaYIfnttjcx51w3W/opjvmKfbeW59F/GqF HalDYTKre2CJ/pFT9s+YsOob3PL/0wIPOlTlgsK7wOXoaHsZ0b/KnkcIDLdB v/OMOn2uZnDYW+rhi8eZyD3f80gtC+LHLurvfdAEDm9fPUi/0QNc17v3CK5u gw2/ypxWTbSAi8FDta/4+cnviXsI7lwzLW7CHOPQl/5yAQR/Ul5BeQblF3Rd 6DrR9RlImhJ6b8oCScfoQyte4P1NO/n1e3kVBI7tn13GboKeuO8Pghf3wikp aUasFxPu2EsILQtigdhI9HwtESYkxUv0m+Lv2f9JXGzTndZ/1wiRF6Gkf0if o79Hnz+hE5KSta4NRrfF6e3g7oc686Px/kL2jOPxCxNZiphXzNoh1BrOhp0W gTtCMc/dKmkSJ3S3CZzCVG/aSvXCihlDf9TvMf+dA3ou6Hmg54aeI3p+6Dmj 546et2B/M54X55vg4K0i6ctjPfC3vP6irBQLfO/cb7w0gwVfF19z/+nTATdN 1p+RwPt+amcA97AZC+46vX19PrkDLC+4O8DyDviVLm9esagRjrJyFaojuuDq kmulG190wL7Zh6zTb7bCNq+1ucWiA7A1RlcoMsSBManDx++9qwmOzFF4fL+j BW74DW8nvJL+TD+n99+P5DgTHrXHaKHQfMyrapYK/6e/V/SlSxE+9pY/9Dfh Z8LGNZcJLxt9oLBnWK3x3/XX9jhJ3jlsYEZdK0upbIHsXPePinWNcPFeX4s8 pxfCBw/2feQ0wA7rzyMOd+rApnP2f3zt9hv+w3b457gMW4lE/HmYxOFT5L2L hYPfkt9/PXy9inxfj9WBNvI95y9rHif8rfjuQXnC54pnajAJj1vx5eW80GMd 8GZPjTQcYQHPReZae7w+dB3putL1pOtO94Gu/wz3jSwFzTZo9zgp/9aeCZmc PCvS/1l32JyHxHPQ/ht9JL7lfgapkbhetErDk/AxfjvFy4SfGb5edJbwMsbn gjuxkq0w3Vo4xKi7EbrsCraQfn7McPwDEm9fI1x3kfgzvW9yiMTdD+G6Klkc nzdSLiSo43jlMWoMyMBxap+9rpLEs+Ynif/ie+3R6Dskrun30vfQ71/3+Zky wZ2zzafzEBwa8Mz8GdEZT0gHnVuJ8fDeDbnLIjEefq6/K43oiTEyp1UI7rX6 rT1KcK+xe+S3+/1VEFCa+Iv47k4usjUlvjuBu+a9xC/XrKm0Qqm2H6yiu6x5 3s0B45aUwmYfJiwcTdU0x7h0gxO/FRfGpSU7NH/5PGL+w68Uz1IcS3EexX0U 7020xLgSPG1vxedB8LXv48Mmeh1V/xd//w+PUxy+bbb2CBn3/D3HD5F53PLg +UXGr2yg3iuO+YCs4MtKdcwPtrl07+wNYIJBvlQpwd+fuq2kWzEenzlvlZ5V VQu8vKO3PAHzjdFVTlr5mH8UKoYPfsTxzv0ubPF6zDfCeJaZ8Rj2w6FSxXA7 HL8/60W0yXM2v+p2kd/Tr2vqI8/T5+jv0eej2Fv/G8ejK8M/ybhWso3+G8+G UkFPMs8ZRma3ybyvswYukPlui1GYTfbvpOwfbbKffheHnpJ93BEpPkF05RTH WrcteB4mxiuzLuDx074b7cPR/tsvN+kbBCffbv479RHj5Elv4zzST7My236C 4OTdSRfnEJxc3xhvSfp4C2ajyx4i/WCWsalbf2Y0hDJsI4JYLPhSov9ubWo3 3BYQ9dk7vwrKZrXr/7rUCU4BfO9I3RIP5jtM6pi/upEzqV9FBl4MUp/ctqLb pF7dbJFtIXXKYtaXSFLP9HNf+ZL6Jtz1RpfUtXOI/V9em2oevEDy3PvjyRUk v9G8SfMozZ+0ftB6QusIrce0PtO6TOsurcO0/lI8QfEFxRUUf1A8QnEIxRkU d1C84XW1SIXgGI2yG68IrglIsRuJxHimvUTLnuAe3+OC7wkOCvS8lkXwz4GY bT7LcV2stTik9gHXSVMPcXNSH6/Jzxoj/TidtlMrSH/u/R80QPpyC+57zzuA +arWxZ3/8deSqBv/8VYazzS+aVyvirJ9T+LQxvT+f3G5d/uy/+KR7ivdZ7q/ UglIl9TLD+UrU0n9fBv48D2pm4vBOY/UFd+8fRakzpQpxQqT+rIq7mc/E9fR 70lVX5txXc2y3LvuNa6nOQkXv1zDdfS119kviriutjQtGpbC9bQt4PvKADcW nDuipLxlbh5Yjv04Q3Sow3oOusNsJjDEixdplRfDYcutS0j+PxA8w5zomt8r fMyntPLgzpFOcaJvKkftsib6Vgy3TYCAeQnsUbJcQnSu3IS1k4dNWuHW9jnX iT52afHOTKKLUf2M6mlUR6N6G9XfqO5G9UKqH1LdkPb7aP+P9v2ojkh1Raon uu9ftIP0eWPEUSPp+7rHPwbS76W6F9XBqP4lEB8/49Z5JlyW9dkwvToXxL8I LyX9RsOTdSVEL2x4PFVN9EPvJ5uMiG44X7RMIFe1Fvo3ZU+T9a2E5vetTqX4 vr7PGheig86oSR0mumj6S7n/9FDan6X9Wtqn3f68rjXAowH+PNqVYNNYBe+9 zp4hfVrab6X9V9p3pX1S2jel/dLLqafijyu3QZvdwd3QXw1KtdmlUxW9oDzC VN4m3g5/rZbbf9pcA+XMaXakX037pLRvSvulvvW3NEifNMUxo5f0TR1bd88n /dLocxpiJzltcKdz9XpmYCW0ney8T/rqVNehOg/Vd6g+TfVqqlNTXZnqzFRf pvo91fOpjk91OKrLUT2uxOCw5xlXPN9BGd72G91p/TypT8h7o78mvSX+9rav vC7E314xcKCQ+ABpv5v2v2nfm+p///TA/+mAVNekOifVN6l+SfVMqmMaKBzP +5mKcXlpu46mYzqcU/umYbpn8J8eSfVJqktSPZLqk1SXpPoi1Rv/6Yz/02Wp Tkv1WaoHU32Y6sJUr6X6LdVtqS5LdVqqz6rDsTmquTVwTMX4O//LUAj/VN1G +kJUf6V6LNVhqd5J9U+qe1L9nur5VMcXEM/cTXwD7ULwi/gIrMZ9fxL/wIoN lkeITn+iguFLdPvGhxYyRK+nuiDVCak++PzmgdnEh+Ggpm9CfBlR8xr/82M0 pn5TIfpcKWNW1pn2EpihZxRNdDqq61Cdh+o7UceCI+Lj8fm031zNUS0F400O R4mfs3HH2SSiMx109owlutPcgFZFojdtl7VSJr6TQf/jwhO9eRDs0B9K/Cel Y+cKFC90Qbr9V+3nImUQKt1q5IvrBdWlqE5F9alp+268JL6W8OBntcTnElGx 9T9/y449BybHPnfBxlkhQcQn4vHm9lPiD6E6GdXNqF5G9U6qf1Lds9mUbUT0 Tk5R81Gif06KJegR3dN5+exqoqdKTDvIDrUvA4GR86cJrqZ6KtVXqa5KdTuq 41H9jvoJqL+A+grmeyW3Hv3bCz6VGt6PIsrh4LFbAu0Yb1A9leqrVFeVjjZe TvTIImm1X0SfXKRm20h0SQuFkCUjtmxYGnRyQ/XOCpCKGLt7BvO4C+e/som+ uOBAdSHRGwdF1skSndHSTcGb6KyPrEz6iO6aUbUgmOithR/OXiD8QcxUtegA 5hOGHbujGHi+3cKwkoH5iY2dz48IzFdM44R23sDrljXosIToc/e0BJWJXle6 Sv4+0emoHkn1SapLUv8Q9RNRHxH1D1E/EfURUf8N9eNQH853OfZm4hM6uoLb kPiGPpd4y2Xh80Z9S9THRP1Llp7lpeTvCsxS5P9cE80FuSZrC+Kbor4f6gOi /h/qK6I+I+ovSmMZXyd+8dXLF760n9uTxl2k9J74xkWYXZnk74nEnr1XqYns Tbv7LD+C+M/37Uz8T5/+4cPTR/TqSVYeH9Gp628FZRM9eMntP8MFzbXAvWLV uVA+e8aJ3GLzCwYDMPn4c9Gl0RpI0HwuTPRr6jei/iPqO8qLdBYj/pWyn+c3 1cZkwiqVMV1lfJ/6n6gfivqgDBYu7CD5NOFHVthanF+9TuzTxXkVOVgPPyT5 NPrpIf0hnF839slY4byKUkKtV/nj/J4kbfGZ+H5nvnGumrw9gEzFg0/z4/wu ePZgvQDO90+Pb1XAeR71hD1JV8d5fCjV+PZvnNcvJh7nxfkc8UgsM1bEeT9O us+GF9eBW0IvK068H0CijOTlRzGeqFdyP0Hwxa0V/S4YV6DhXH1nkq/VRhs5 JH9ff3xFDOdtZOOpN7wP581FW2Z5ReI8yh158TXOn8j2+7onRK9CkgN3iX6V t7dmxZD/IAr7wb/oFM7vagvEt7jhfL/wr50vzvMIhXjakD6sxPiHHq3gGpjW JPVTZT4HHVsfwST5Wnna526Sv6cWqjJw3kapK11mk3og4cMjROqD1HJxU1wX 0MBb3RXEVzMj7cEE8dV01o314fyP7rY1zulLesTIFzGca+BXD99YKb/J3+n8 Usk5qqXrzeAevLn0XlwTIJvP94jv8WZCkLIaris8f7SMW3GdedbEO4O3fAB5 nTBXN8P1+9KZLXEeuJ67p+mf/VXARj5nDwmfwTiAx/aHnjPGBRvt1ZkN2Wx0 78L6ZaT+TZfodiP1MC4w8Siug2iBXIKAAz7H1ZXyAzz4XIvJyeuG1PWgtRp+ ed04rqrrX4hp4DirWfVlc1JwD5o9V2fiMo6HENVPbfk4Pi64My+jil5k4PzA jMSt68ADbxLH7d88s3H8ovSt3Ax7jFfqPd6Y/8b4JVXxfWLP0z50+e8K1yaM S95n9GxPwzjl29uCyxifIBWRzQakDs3d5t8eiOvS46DbxrgeIdGBugcmOG5D l2bY1eI4XpC5W3ZqZR/alrP4+SunEEaMtZDlYhxnJ9lnNu1h96BE7v655O8m VudsKZfN6oY3yzZ/LnbsRudKrCPf4XOvHHOu8gGOA6GVs1pq8P2KuYqXwnD8 9A5wy9vheCqIPS1M/h4wdWtE6+5tXmnvL9i8IzioQIY7l/i0966Z1VQp4Jm2 3mTbbYKbVq68HkB82vb8M6YvwbiNmzOYSnCcX88ZC3L/xnLejaTuPsrI20Hq sO6q5jpcf9HZS3mGE5gPDN19/3AC8wMvWe9GzAuQUk7UXcIrisNHx55intH9 t3nBdbxf3zVmme8zv85otDurP4Tzjczemeuz8Dq/X2ebYbO3AqLKDUZquYug 1aJW/Co+t1wxQa5Et2gpXFRHdIzOBNkMflcOurrY9BnRLWYucN0TH5QDzTLP X0sv5qC0+K5+4pvycLN94jRcCPXCw3WhuzlotdcFDaJ7dd6v1SE6WHBq6Gbi 7/1/+KbQn0C+ew749+f9Hh4nvinWE/+1Yfh76PjoeOk4L1t8kiH6HL2et7v1 Ub9pEP0//FpoWLTxJdHbdPK+tBL9jeuKQgmJr8+v4pcT/Ub/kEsa0XPm8Iv9 eVDPQVPooBTRe+j10WkNEV5fDhKvsswh+hC9uid1EZ0I0d+n30e/53nLJxZZ R3B6coOs67EZCplkPem60HWi60PXl643XWc6bjoPOv5Bn0/KRI90i5ysLJMs gl0mPyZ/Fgwi92aPWUTHj9wu6010/LXStqJIYRCdqnuaMFeiCpC64CKiW75T jtlP8m3QF8803vW1EJMi4kh8nZUp7xVIPqF5kOZFmg9/LKvoynK+m5Y8PWQV +Tuv8eBFB8n4qe/Z7GzjK+Ljfry9cA/xb3987jBK9LwnYWIr4oNqQKy7J5LM i46bzoOOvwvlbiXjG0yNKiLj3dBSs4eMk86Hzo/Oa2Ld+vb//KgrdmoTP0Kc 7Hs7Mv7V6aveEp4W15sr3oN52yNbhRoOznvalzyKCA/5FLU41hHzkgrLQXnM R9AC4YfWRZgn73Na5q+KefNwpH2wgQYbzXo81iqC+VilqiArGvMzZZNLsd04 L41suq+5DvPt1E7W0yOYf1v+OLEJ824U/01IsM60DtZfkjIm/WO+nIvafpw+ 5N6nYbYH88k5C9/nj2F+OfD9gmEgHg9fa6HnQv46OO4fvSjUoBGefMtb0IPz AHoWO2se5od12gGak+YsKJCT7ogq70XHNKZ5dPbWQezAlV/mqizIv72/fyO+ 3+0wVtqC+eHrmQoKBpgvCqw6o2SJ4/1IRk044eFtizW5CC9//c3kCubjSO3z 47EDmK9mMhev18X89Y3H98IJ/HzhkWevkzFfVVGJ30p8VoPwjS9OpBcpdCob mWNeHWaTtXc95tkHmK/zbCUH0IPXy0JtMX+WEJKWDcR8+sdN4+ETL/qR1OwT 7aQvMGwf5Uj6BOe2ex6u0O1Hlj8+fyN+qo/usjrETyU98IK3DNdl/o3522dj nq+Y/Pfkc8z7LWTl5TDfR91i20oJbzfXNj9KePxk+ocTmL+j0TLlyLCwWqDX oObUWVwf+5HNtyEH9claEEvbYbaktQEaf6/aV8dmIwvNlqJ+zDemuuXU32P+ 8dnIQCZaoBctPGK+QRnzDcb4LcZnXI/OXwlOzpDrQW33vIMJn5l5PtV9LuY3 S1Y9z+3E6xMt076cg/nMX+PcHfKY3yz9OduUr6wXuaDNXXPNS+Dv9rhGnndt ILXr5seXOP/fE7tQHYT5ydyvC8OUMV95uvVhtA+uFzsOvY3JwvzERTjCQxPz FcfZ8bwR+H6CjdVOwjc27mRf9cP8I7XKeATzDnRsq7NGLOYn6c/M9v3GfEVH /5pMWHg3Cn24+4ke5gM75JfPS8D8oOysVIOIQze6M74tkPip7q1bH0R0rddR K3ZgvoNOT7n3H0vAOGaT04tJt3b4siB6GE10I5kVRk9MMS8K/XBoWSTmSZlG PhEx+HmLz4HTif+/su75SsLDHlSadWP+he7vu/SF4OZyb5UpgqMrhDZbY76G AuTONBBfdH6Ypyv5u0I0pXVIEc/rdsTGV6Sv9DhSrshFvhl01PrYSTX9yKp3 2jYzzFc3Ht2U7Yb5q7H92qUxGB9ePaCvM4B5afrNG/rDmKdedMpwwvwUlaxQ jTiL8feO9QtDUjAev/zs4xnByl7kp8iax8G43zqs05LwgCNFBnUY/6PZ04tG IvNK4ID50Se/E5hw9wrXG1Jnb2paiIRnF4OCrZy2SCgT8vK9r55qZaOXxzLF dMqLweR6pxXxh6sHMxF5/qCVdnoe5s8TT592Ej7N4JnKxjwandk7HkT8chdi dAuIX265uOLjSbV+NO/TCIv4ne4NCxgQv1OvdiHxO6Hxc7pjp0pDgF7NX9kQ XxmS3GIZQvxsdz10NYmf7UFsA/GzobjRJx7EZ9Z52d2X+M52XZwwn2oZQvRn +jm9LxxdZ0H8SIWnhKdP6w4BFXcxlm3qEHJjZH8mfqPcOINU4j86rT9y9NmN /4+u947r8f/+xxFKKRnJSBQKJUpGoiulIauskBKVkYSG0jQaSmZWaKA9kAoV jjYt7V3PZ3tvqyS/67i9z+v2u31ut+9fz5unZ9f1uB6P83ic+zn3+zlXLzR/ ODaKOqcxRv17XMZnMPP2XJubadMLhWU9sXt4EpjszduuoX7Ku3xSyEb29/Rv +n/63mvd2Kuod7LwDW1Z/DuYcb4UsFbJuxfuTH+eh3qtxzkHtvP0xjP5qqa+ rqG9QOOgcdF4Iua4aaJ+jj77ZyjF7f/SC32vosejfi/i9gQe1O8lpF5E/R7Q c9Jz0/PS/ej+dN8rSfHz/unlmDG1ON7OTk3UZcH3COdRk4UXPloF+YWhvs7O esQc633OPE5pRn0D7LczQL3DldVzn1na98JOY9utqKsw2NE0X100hNGSCTui uqUXaB5pXmk+Gxq3Bn4/kc3iuTUlqQsSmB1CGv3LVvVCVvYcSdSV2WX7+aCu zOT8oC3WJaVZ6QujnkC/aNxH1OcUmPCM1gj2wtPkOXtRn5FQbw6o1wjrS7kn +7MHLujybUV9RsvZeVNRr6FmH1rLcHtg4+njB1D/UKvqmYn6hzUb9GWdEnsA NsqeQP3D1/i/tah/2DXc/MFUrwfo7+l6dJ2dX1XrUL8Rd+moP+o3tv4Jih7v 0AMvd6RdjQhIYI4snqTqqVLKCDkHGDkK98Dr3zanUS+xYPW0qaiXOFylb+bO 4jH6e7oeXYfGR+OlcdL4aLw0Trof3Z/uW7PfTBN1J+PrlhmiDqXI5t4yxG+E PwiPEA6h+I3iOYrjaNz0HDT+5Velg1A3KJtcfRl1g+Zr583cxNoDrR+tJ60j /Y7+jn6/zmS0AXWK9DnfWBX1ilB5u38J6lvGXvG7hPoWfoM1TngdsjOyO7K3 CzEa6aifkSr4qYP6mTjFB3ZYv0b2QfZCdtIur6eJOpnWV+InUCcztXRhSTg7 HrJvsneyc7JXsl+yW9Ng60eoe7moNrEd7XRvUG8P2ifNO60Dzf8htUviqOcx zvQdg3qeFP0BS6xH6300PyRKto4RGPtS2LSlitlofy6Vjz23U/uYu7Mfcxnx tx8X7pLgMI3aKx+fZv0gr03j1p1lXGbTTXv/jdermeC0hqdg1wrP+9YvWHK1 jqFPobKEwQQ2Dl3Nq7njemMtA3puCcj7b48Ym4t+YYZwj8qU+fVM07r1WWJ/ apnamSL+H9nr6wovFn1bVMu8E6ncpF5exXS7Fe1jelicMGesNI4jgvfPPRyX 1vishzie7IAfM6b21TNdG0SFjcbXMLfSp8TdYr9PXeb/DP3urg0a99EPf8+c jn0ngPwu+WHyv/zeojs8YxqYRMuAmdPGVTFhfI55aex1aNz0HDR+fvm5ZTju 1RreG/A5vmn2++H4+d8ERCuz8zIjtm416l8U98r9/sTOD80vzTfNc49J/0p8 zqHd0nPxuSeclj2Iz0v4kvAm4cyqWOe/huxzphwcJ4jPbZV+5yM+7+YvEccQ 77oaHpZE/Fv/UV0Pce+J6tlZwbsamXADhyHM/702vvjEwb8R1junZh9/18is k1rpPGjJZSaUpSqum9sI9xeKJg/camT4Cxb0mozjMhbLFxxYFdAIMhk/Z6EO 4Xy3+rgu9xqmx/SF4juLZih/OSysoVvPfEoZrxTmwGF80w21NpQ0g+eJjAdT vKuZqG0xiWMUmhmXpyMjokGNcDhm9YtHv2uZYJ/brwPDmpnFhgM8n2UbQEzO f/b+A7VMn1xLVca9JuZOxZYcD/a+tB60PrQue2bcmYs8pW5sfQfyll9u3Pp+ iMU5c1MO/0GdhJxAvziOd1PFWHkcZ0ysl4f9m0rG9efzhTuamhjdvcsun/Np AnpOem56Xs1P+1+Fss9zMuDCY3y+ppRsfnyuZLE6D5zH421J1hHsvG6+PWR8 np1PmkeaV5pPLbctFvGDHYyMYkGKs2cOs7k8yGbacw4oNChd+G3fwXSs1HxU qVjI7L1pdkH1Dgcc7OxMMN+4+/Hz8VFbi5i53KiBhq5iaH+46crl6nbG++M5 Zc/QEsa+6ePeqGscKOfVHKM/0sbcXDZz+G54AbNEbrpSFTufNq8CYpKgnWl+ X3vRxK+EYYQHfHx6OBD10FrG7FAXM7J39NCJb6XMmrIbWvs7ikH45uuvXyza mEupBeN9Z2YzBXdrd+1h50G/Sto9oaeVuRopfRnz7ZN/HXS8zT5vaqfJ7yDX Nkawtkf+i0Q2U7ZY71SFeyNcTq1XxPqNyr9y/cgL8MvMHLzNrgvhbMLdhLcf rzcXF57Uwmgu/bEiwuErMxW+p+I8D1oO3V5s28K0bgy8m8sUMws0NMrEI5uA cDbhbsLbhNcJvxNuv/d+970W3Vbm+9i+h/K3ixn9v7vq0540Qi3Tqo76Ifrk 3tspPUmgA/7s8rFFPVJW9OZJqEdakTX4Ly/U8q7MGOOZYzXfTDC+2R5lrY1x jczstxNRP3R1hbWQ09VyxvITXw7Gj4vkytxQX2RnJmCO/z/jb8wmvM7E4Ocv kb9+vcfXEfnrPxUnPz9j19dcuuMZ8vid5qmVyOPLDYzVDh8sgujWk6eQrz+h HbcK+foZ+Y6OgwXFsKLjUkjAqjZmWnDMazuvaiZa6/6NS94ceNHw1MpWtI1x T1tvFthRzTw6Zjeyl7UT0meTXpt02qRrJ5076dvb3HSmyV2LYj5sC/qn+755 +tI/vbfE6lE91MdHV1g7ol7+9dvRctTJn91fVLBSsxtOKTctjB/KhWdX+Fry j5fCWwOBJ6+VBlUe+pouMSjrZMxVrW/cYa8zJWfSvFTfdia9oj8P9Q/HnveE TakrhvAJ52WnNzYz+ZY9F+xX1zPFows+KrDXD5Dvf4D6t762Zx6ofzPIKFzY tqYa5KRGj90zamFkVj23zrzFZc5pnBTfye6jfvXaQ7LzWxk/QbWMR7/qmKl3 YvlCH3Ig6NKZ4F3fWxlXm4vGbibVjKiPwFtT9nln/HgyF/UVZz4cDkV9hbPn 5J77tcUgF55oh7odhybpVNTRZ/ldFUH9POnmSUdP+nnS5ZNOn/T532Y9PYR6 Gp+hdfNQX9M37dg01OeT7p/qAEj//1F3/GjO1QJm4rW//3Tl/R8z/+nJqa6A 6gyoviDX981F7D9QK3p/LfYfEHWQ1y3sL4ar62cmYX2C4XbFDqxXMHE8VIt1 CjRfNH80bzS/NN80z7QetD60Ls8GztfHsnZ5dKB2CO1019X9I99Y+3yj0MSP dtxpmFKKdp3olTEhkrXnA0sv5+N6b/3R/m/9ecuuP8V1J3sl+yW7pXWidaP1 yrouu2Asa/f+ZWayJ9h9cEFWUeUW+3ud/IJsXO/XP4QP4PrX8RsK4brTutI6 0/oWRN75VDKziqnPauEpD29m7NYciFjMnm/TPLcUoR8yN6/+55f8U5RL0B8J FfS/Qr+1VuhHFPqxrllfJ6L/6j3fM1zG/v3iwC1ReD1R3r1JeB3yN+R/yO+Q XyQ/Sf7RP9BCqJ49F8Tm+5iiXpR/3JgRPB/+H/ocIJ6AeAPiCyh/TflsymMT 30D8A/EOE8KG/uXxl9pN1cK8/oqz4qcwn0+8BfEYxF/0Rl6xwDyRrnbjZswb hYnkKmK+6OcEtwOYL+D+mnMZ8werrTycMG8gE3S3D+N26Uk6+RjHf3ppl4Lx u+iFjiKsD0+ff69u+eQs5ju3wteaHX8TZ+st1OHEXBp4jDqcx9mLp2C+nXgg 4oWIDyJ+i/gu4rmI3yK+i3gu4rGI1yI+a4qEbdOP5AomJ+4Z7HT+xFS3abkj /0V8G/FvxLsRj0W8FvFZxHsRD0b8F/FzxNcRT0f8GfFpxKNR3o3ycJR/k5t4 Yg3qZ/IXrpFD/cze+gr/g/6d0FesewDzg8q8NRcxX5iaqv4B84RpXLn1WTpl jPuOfUOo21khICaWz46H8qGUH6W8KOVnKV9LeVrK51J+l/K6lGekvCPlGymv RHkmyi9RHoryUpSPUh3NFkI8MShc+wPxhVtvrzXiin3t5YlHWHwz1L60kmHx zuEFMjkTljfAdUY3FXHVCic4izhr/g09M8RXM0ayl9xgcRV3aaYR8uorNhql u7HnG+EbwjuEcwjfEN4hnEP4ifAU4ajkE20aiMPid1lcRly2KCRID/HYeAGB 3Yhj9MctkkJcY1T89y3iGcIxhGsIz5QK14YjLinLNvJFnKIZFMNBfDIzR2d1 Y3YpE7P18Dzsc5W9Mz3mt1MLvBLPeDehrIQZGpkl/0e5iRlbaHjxC4tzDirf D0cdi23LnRtCgSEMN609HXkK4juJ/yTek/hR4kuJJyX+kvhM4jFPGxr+Rf5b /1zKUcSnG06G/UZcmnBH18mCxZEa4wz2IO995a+5O+JJ4u2IxyP+jng74vGI vyNek3hO4jeJ1ySek/jNgSbTzPDtjcz7UAebkbYsxkxhcPoAG0/dr9Gxw3yx 6OS1mw0a8hins0cXNxe2wb2wCX2o35scIXlM+Ewes6pqTQLygz/zSqWRf193 b78s8u+58df2arHj8TIYu1narZl5snH2R7VzqYy8jOjMDOVWWOPQtwbzv61p C3QwH3zdu5PBPDDxqcSvEq9K+VDKj1JelPhU4leJVyXelHhU4k/3dTr1of5h RdwTCWvJTMZp+OduoaI2GKd+bi7miyclyZ3B/HHkX95IzBuT3ZAdkf2kl5a+ RF7hxf6kz2+WlzKPt2ydhvwC5dMpv0559dkLVBUxLx/y+J0k5unT+W+nYn5+ 56n6m6iL69WIu4u6OIOfMjJW7POSXZKdkn2qhmZ2Yd5fhzdZd0Ann9n3zXFl 1JQ2uH7cazSUU8/E7lD4x5MYPI08jfyIU0jScFcHhzFz/SSoW5DLjPRVbWtn 8TPxQ8QXEU+UnV54G/PLcj23ejHfXLM9+DnibeJviM8hHicmZ4Yn8kZzt+zd jTxS3pEoOeSP5NSMOpBnCp7wYhB5p6YD8c+Rb6I8NeWtKV+tp8jj7GLCxokV +lljSjKZXZYPNmP+mXh34uGJfyd+nfh24tmzv3pqoY7RTG9/okpnCfNJzUVh DLu+xE8TX008tdSl1yns92A6vc4a+xeu9E87ijrA8GbJubCmEb4MG6fXhLwF 5mhenMipdmZ+ZqeHy9Z6mGVUdw/7U3qWvNCuTu9gpCdG9rDjARcL8cCzd8JA 77jrYXY8TPz02BbPLfVgtljQAPs7XsmYfgz1h68u+MzIXNQEz3eln1ZrCwP7 +TNKUgrbmN3i8mrYN2232ebbyHsP+XEdsa/smds6wdg3bZvwVGXsvxiQ0cuP ukSLQIcp+7TqoV3FZ51qZwnEX7uxD3Wbzywi/0QqcsG16b35/KASiIo5bYT6 yUohPuuxZ7kw0tZjPce1HJKeBtWFFrQxd+WWWh65XA9OKfy/keffI3hpP9Z3 eCS4So51b4BNwlX79sRWwLymm54f/rQwY319+x0duRD4acuFM0PlsPqohy+7 X5j7tsO28tINsMrhlOG75aXwrqDOJEaijbH1HhtSrNcIS/1GJh0pTYHmjQs5 Y8Xbmf/1FQXqM0r9RZ999tGN2M76q34H54G2LJB7NFeNPZcY0/lWAX9c6kFg 1FNzeHcWSHfN+IO6Yos98/ITLRphWPA6zwnJTFC9WFE6paiNaV28GSbrNENK +uT97/eEww8Hy8ig8lamZlx60Az1ZlDU4WtCPcW80qxI5Y5WJvhEz2r2/IGI jQk3sC+p6ZyrvB7sfKoYmT7YdbgZ7F1FVo1YvIMX6epvXwe0MsVX+sS3n6qD 7OxtQvO3FEKGg7XllZwOxkt96PWm32x8cPVpcvq5QhD4+dLSeGcHs4qrWzkS y4Hmr1YiMVl5sCF6hjvOs7Ljg/qBDg44bbAWMyrIhdPnch+2sN/Xmdnc83Pj wqUPp10VJmdB5QmlGiv2+vv9pmnwR9RDRdXu+qln8qDi/vnDaA+v432Cblyu gbvbr0lKzi0Eab7IHwX6nYwEZ96axSEcSGw4visuPRcWGQrbG9R1MKmab+RY /ABX+F/Eum7MhQLZVWpvSzuZuJtbbJxMODBLP6B+pDgTpoedEfq7tZPZvK3d 7YwOF7IHd13ktJXD+4I8C6yXaUnzFD7UUw9nf2Q8qHlUBEejA4LPsfO2616a L3sugauX9gj23WyZq7kTddQ9bZfC+bRroV1neXqJRTmYDM7df7eHjc+PFp5y rKqB7wNGM1i8BC6j4SOos9182U+r+WsNNAtkR5XXF8NGAXU31C27rtmio5fa BOo7dnZiH82cWZmtqJOcOr7gt4ZpM7TpD7wKlPgKI2mOXdgHY/yrn7zv2PU1 eutioXmuCO5Zz85AvdzZLaNSL181wunrYxqwT2eU2bWTL6e0MQMtvB/U5jVA V52+/veeQnh+smnqBNYOo+MNeKemN0DssNBi24Y8kA17BRz2eUNTnjz5ltQM JmrLyp6VfgYxqUnWUWEtjI3OifAIh0a4Vy9ijn18FU8UrELdZviDKtRnwsr7 R5yw7yZP+88lqM+sslh+4GVrMxwsH5OIfUwzvTZ9RZ2kb6qYz0LbFhCcflON yxTDlsFSa7HIJsZxepnylEktcD3Q8FSQw1eYJThyDvWKPjphg6z/AotXoc+w 36fTz8SaIacWRnvZ7Iafyk3w0S7fgPUvEHdj26F89r6nUl6nsvERuG/L18K+ oV+7DQUM2XlLC/PewvpfeB6x0hD7Bx/VLt+MOtizS1c6yLg1g+GtjA69c6mg 96TO8hM7n84zeH5/1WqBYyot0xtjUsF25fky7Ct1Lt5OxDuhBYK2um293RoO 6QZyHyvx+xg+7Q1pLaC+/u1l+eBQlcqa7I057PdfFA6aWvm0QOrTGxeft76D et0Do8Xs989ePlDRziwFj6t18WMCQ4Df6osK1qdrfz/o8uJxKXgqHarGvoZj V+fzr8G+QyOWsXsCSuFVkPgl7MdZI9FahHXHExk5CeH+UoiqzFmKfX+N5BRa ULfsWGmqlPagAhxLEnOUa0Kgp3JS37fL3YzamTEm2G86TOV6OPYV3jvyphX7 kxvu2p5w5FspjOsMPcniN3hrEtht0lHMTB2w6Y3YWgQvhCVWsngPrtcJizV3 FTNBtieV94eWwKdDJsJO1e3w5nKECucah7kcd3iJ+upCiOdMHWTxNjSGVi5f cIfDjHxxH+Z/WPqfPqVT791S7Md4QPjkKewDObY5UmjahR6IdQ+79W6Og8rk 0cNd2AdyoqOmg+TJHkj+pPGvbkjwF2P+paYMFPUP111o7Ia/H6OU9aIcVcI8 KuyHkyvgsr/mOD3nTzBBZuw77DfV+elRS1RiKQy+ur8Y+4lOtS87gTrtD7me 46eFVIDMgt5R4bYEMLMrTo0/3s00Ta8b4QsrhVNuDT7Y39Q4R6Yc9d4rFMv2 XKmpgH2h6l7Yf/TTj9BfqDMvfrtU1LKkFE6UBvZalGTAhSvlAz13u5l3BZye iRnVUFipOWHt2jfQL/vrEerkjXMm5DfEV4NC/sx43WWhEMKX1Mtb0MX8r58y UH9l6qtM+4r2Ge2vi1lVB3Cf2DzSW4X7Jm/ZUifcL27ji8Ys2lEA3udDW2J6 WuFv2W/pZ/6NjPHZfJvHM7PB8+HxhHKLNhgV+66nFtDI0P6k/Ur7NKWzkmdT eAFIvjirdmykDeouLXaqkG1gTj7Nrw+WYMcj/yCBjcvA2PVhbrV7I0P+lfwt +dnE+8+V0Y/uCdI/j371xaJxp9Cf0v6k/Ur7VPvhzADc50/r7Xpx31dvuV6P +/2CirEmnhe/xT088fz4NdBjh+cGnZt0jtL5+VNo9hTsPzy4yTtIkz1H02qn 9mL/YZ4XyZFifiXwpIcnIQra4fZko6sdPRxmebxhZM7VAth/0ky0RqMbJm4p P9LPKWYWOdlLxATmQl17nXxSYBfof26SjsysYELDq/kqPHKgJ3/lNhjsgMTI JKupzzmMxem5szbdLoanYYVpfbqtcH761Pa4J43M6U/JFx4llMOcH2liPO8K IGXakXVjPLqYha/UGV6pMuCZJ3nS80kBSC/f/AnXXTNO9F2KThmsWH88TOkO u/8mPTuG/Y6szio1PfSohCdTlG/bVRWDvQnvOayXqci7VRJxuAyKlu1/mOBb DH8nhDpifQ2/yXP1xaqVMDd8Qs7p0gL4PrNhA9bjdC1ZcsnDqRK8UtMcbety YNvlJ+pYp2CzutbD60sVXJVRzP6kkwk72v0qKtj75jU8W/ycrwZ8tlT8wj67 6XcWFGDdkJXSbH+1GZWQs9On6POqPPg2QSP4DPZlMsiRHuStBJmJG171f82B t9kdN3YHdDHz19v5//KvAWE+yeWMTAlUyg5de8j6wQPvbxiEH6oCVZFfp0UE y8FG+5QO4ofx0RLX5tZVAk+806DuaBmoZ85LK+3oYB6LB/56HloG9Bm2MWbB hPhOZqTJo3piQTUIN388i32Od6WfOIL1LMJnXab3cKvBpCg8FPscK6pcS8V6 k2SVIO3qTfUgulhJX2vyW1ie3aAxj8Unmg8XR0rWVcOS6QJfsb/yFNWX97Bu JWri7dsGv0rBdPaURVbnc+BaZ0Yk9udZue6TSM43LhT0aitgn2N5I6UZWK/B o2r8LPNeEzRXBBluO1AL4XEWht7svnPPcVQzDWuGDumvNRNHaiEgOHsN1gsE 5h3pH5BvhkPrVQR+eFXD1Bd9pSuCGpk43jP+v3gawTB74d8f7jWwa87u2gSL ZiZ2v8XL77caQX5b0aMj47jwqvf4dgX2+gW1p9VuvqyH/Lf35yyJ6gDhnPLz 5nGOKp3X9c0VPbnwIeDdUm5CO2w6uc8oerCIUdpYMDN9UT08Kb09T2FCJ4Q2 aW3xne6gcvjMdmvNpiYYrDaJdHpTCa+kC3ntfZqYzT6L+N1iGuBWSNHyKeOq YF99xcEs9lwa/DzO23B+K5i1Hl8PP+tg2WZtje6HHEZXJunAaaMWMO+pdh66 xYU6J9lLe1m/sG7pl1/dDc1g83t++bTV9bB+8usEu+sc5vD1B1qcby3QEX6r Ijq8Hga3N0j8WVPNvLCq+a3/rhEc7bXkRyy5MC1Ye9KmuY2Mrctzblp4M3je UbAumlkFujUuN5XZc09pqHVMxfdWeHshxGLOkWrITHX3D17FZZ70S3x9KdoG e46d/mbSWQ2OX9+9/u7FYQoyl46NteCCVZSVwjz/dji9pM63v6CYod/R39Hv fQ+J7NCx44LuqrakVN92eP/K23pqXTFDz0/zQfNA60TrRus1tv7e2J/sun42 tXqE6zzbeCkH15fshuyI7IfmkeaV5tP/clQt2pOXb9h6tC+7W2kM2hXNF80f zRvNO60DzT/NF80fzdt9zW33VrB2qbbI6/r9VW3gGsY5WOnNYfavr65LcaqD wPyVprmSXaByJDIzPNhR5UdZ83C5Ri08+vbDnRvWARVJIx3BLH6gdaV1pvVV 5lmdvVqwEV4qpeV1svYZmHM781K0o8qZYPdD4VsbwKtymY3V9jYY4T11+UFt MaPgZWJ1QO0TbCo6Y3nAsxOmP1M+mujHYRpe7I/ddjgZUt+dKVp5tBMERoIq pNjx896Oq73qnQw+CRYVKUGdYNic1hTrw2H0+cYcr61Lh6LdHgbc4k44X+HB f6G4lrn+hfe7xbcMONwrwuPX0Q1FFybd3dtYzCyWEe3Evtx6Tl2H3Vf2wNNb hkLYl7vT+sAF7Kdt55yP/bRhfEJBLNbJVvR96JypGQOPKznd8w72gIGwcns+ 1r9f/fwU+4E/m/61OTGjFxTi323HuvI1XlKTr7hFwY7geWu2f+6E4OTiN/PZ 9fUdklHDPt4PAy0uuXt2w749f5KwLjtMaeNO7I89b7uYa7FPD8i2iq3BPkXi I7PUsd/15tEd2O8a2tOyr2Odu5nxpSrJmkxYuuuk9DanXtgdZ2w6VdhBhead 1oHmn+ad1oHmX8ZB7j3avcnnp9twH8gezD6H9h/1pwnwfIn9oTWkwJ435gWc NS/Yc4bOIzqf6FzaffJakCFrT0Oi0l2vr1bDq0kHa7+xePLp3HEi4rgPrW61 vGD3pVS71PAgux8HPx9++EU3Eg4e0Dr+WaIT/JMvVHc1cJkrkZa/0M5WM2CK dnedl9fkOWtvB/ZeEsdzrSd1nwiec2JJk7TwfCN7Jfsluz22ctMnu6vl8O6Q jX1CTyXo9Po9xbyKzEiG5dbyKhj5OU/8Y1Et/HjtMkm5p41xiXn+CePAnV9X J2JcOHJKfg/GgzMHFPJ7t1aBJcfoBX6+ZTLMsU/F9nNeUVNZPycmbHM7kPV7 a4Il1NvZ61fPmb8Ar3t70a5jeB+FMBkBvP5cgezZcew4Dj7KuniBHVebSlch jueVq00f+sWB7hUu6CddIzmZ6B+LbhhFr71eDceazO9vL+PCESnFR6l2rQzl Oyj/QXkPjc4QNfMWdpzPVtx/KVsHC67H1WOcePOxigfGyeNH+q9i3Hw/LukE xsuHYpIn+qythueS5QY3G2uhxnNaB9Z5kT8g/0B+Yb+vpsPu8TXgcbabV7Cv HvYvzVV6wH5/dDjPEf/eUtF/9Bp7PfVfUQ14HYHZJWPkrtYBfS53UpfGfAXh KsJZhK8I7xL+Jdz7O2fyG8R5VwXvPEfcx3c11Avx3tAHvvFGLK79/mPrw/Us zi33797SzJ6T6xaMyRh7oQMedRvBS8VCmKzCK6PG7ru2WRXbEefl/7rGj7hv UCHJAvFe3bxNLxEH33E5loK4OGusWjniYcLZhLsJb7/l22mO8ZVSpUQSxltV z240YZzlpTujw42No76PiNnMZeMqf8nGcR2s/VPcRXEYxV82cRufYPzDy52a ns3GQ94DT5aE8TuoqNgpHcF4KfXC8xsJbPzktPbaC4ybxE9njsP46lStfwLG WzeCZ3VinFVmWiiCeLcq0S4K8e+OznXmiHsJ7xL+Jdx7bsnQ38ns+k0cG3MS 13NUeqcGrqP45B19z3Y1goZnzur1O1j/Xipz9CI7/xz9QOlNuvVwJP9T9FMH DpiNPjmyiY1T5PMrZKfOr4eFUR7eEn9qYdXfzzeS2evQv+n/6fva22a/n7F/ /96xpUWNvd47sbUeWL85tL9WRJ29n/T+Lr+H7P1XvT+88gp731huv/esx1zo d6+buEeCA7kxTW9Ps9chXEU4i/BVgOpcY8QNu72cKxFHJGa/90f8cPbupUTE Pbs39p1FHLSh2XkC4h/aJ7RvaL90+5zO3cbutzwZruA6dv+lfL8olMbuOxoH jYvGQ/E8xfcU11P8T/kAygMYaTqE1JxNAEXvO02pqUXQMfZvAvbv4utLXe90 LAS+2B83ikwsAs6qbUV8d3oY51sfMwMDEmDWneRyd5VSEFTfl4R9tOLUvG3V vwB8l/WUF3LOhpvCjQuw71xcsmpT1oIEuDZXNPfXiWy4vP7GO+xLNmmhmtCy AADVZkdbsRkZcNR31zXs9yVw0UPMeXwC1BW+yXEenwFSp4eXYJ9Gz4fcb/7r 2fH4DzT0lX+FiJX1DdjHrPmKlKjH5gSIjBPQyW75CqHrrX5gH7NLwjUepRKf 4JaPyoBUURFM2+DOY6bXw6geOKIkOOYTzJf8cmnymAKwkd27BvuGzXXdvDl6 zScwvFjknqNfAiqDv3dhH7BHG7aJm5zOgGjzWR/5pxXAw7+b32D/N30bUckq rQzQ3Sr0ocAvG7w2SPdgv7g56oE/jizLAPr0EnbajX3nmANDiZF8KZBQEm1r 4gbAs++MIPal3MS/MXqfMwB9ls/5oYD9Lel39Hf0e5ovmj+at2vdQpH7eBKg S0SzwvhLOog89HuC/TDp3/T/9D3NL803zfPY2aqzXY8B7JM9PGG0Jx7Ek2ZF Yx/OwBveHO9vcVDx1VdAnicD1PtHDbG/ZcTswRUrfgeDrVlYxrLf6XBu8YZF 2A/z9O7etuJxIVDjkrXs6P1M2BiUE4195O69WmWuLhoC04Nl26YZZkPLGhkb 7F9HdkZ2R/Y285DUJ3xPmPfezfKoM11Zm2OP/eLI/sgeyQ7JjsmuyZ4z6/kS cf2Kdpybgutpde3+W1xH+10Gybh+s6BND9fTq1KuC9eR7IPshewkSczGH+37 jcSF6WjvpqFxYmjnZH9kj2SHZK9kv2S3OYtSpQSKv8JG/+4I1PmCg9NJ7I/3 eLmq9E/RYvh5YubS8YEZ8P7DUY1/7zH8n12SnZJ9hu4web62rQhmDp1n93UG JCeflMV9TXZP+4Dsfx0TVObYlw0qSfPNG5YWgPrlH3uwn3mxmkKg6KdsoM/l /hdrcf5p/Wg9aR0V40aVUmWyIN/qvS/qjqeLdr3Gvny0rrTOtL6Fxls08H1y kyKX7UAd9Fndo65ot0NHXebKsHbTFudyTo61oyyFpRJoP2RnZHdkb/Sc9Nz0 vDfEtq4X+5UOflJRothP19qo2RT76NI80rzSfNJ5ROcTnUuRESbSiINXrPgp g7qqV0tKW09UFMP/+jrB/+3n+ebv+/2IjwXrLDWwn2eLwYK69SxO5q/3d0a/ 6bWh5Q/2KWK3YRn286yVqzJB/xj12qj289UChudT4yDrH8Ftf9ffRNY/6spP EYoMzGXEayQHojIrYKFHaCnmdb8Pbs5B/j34xbbZWJc3Va/3PZ7j22yjJFIe hzAZT0vaUfcuembMLjz3R4JjTFH33i+ztAl17ze+f8Z+oXDwl6ER9gv9s3vd HOwXulVGNHZKfymYbrkShvV/a0+GDiO/73L4zQKB/19+dbcKVxLr/gqS711+ w8Y5bfILtz+/mszIbp0285sPB5a3D0li3HL31ORK1J0t2tdWg3qz2/ddqzHO 6bwaNbrnWwaTklo6R7+xGDhbHo3WsHFRbvWA5HJOOnN448Ngu+Ja8OtT8bRh 464H9nua5qt9YuYOFx866seBpVahH+azcdfaF25LvQ4lM/5NPab7VnFBKCTc GOONyYY9XfNqMpkxPWm+GHd8c7X4F/+cLrVPxj5bT/KO/ouDVIxSdLMWNYGb Tcxq87YwxkF/fsynwjbQL1CzQJ6LtzztKvLsb1M/cJBnX3Fp6SYBnWbQOzva b78nnNnfbbb5WXkraD7s/qh7uBksuNwdzRbvmBcBtinxAa1g9/rMi2GpRtj0 crwJ9mlpuNSRhTxv8ZpzScifSst+PIf9WNqfTdwscqodtLUjtJFHsJ6Rvxh5 /B9jRX4ij6+gdf50iV4jFG+0fG5RmsIUVC5PGSPeDjqbFmYbX64HlaljFyIv +XY0MQ11oUrL5HKQt9152PEX9o15+8ruGPK5j1NV5yNPymn67oZ1zJPXLrNE fYLZOK6V69Z6eBXBuYN6rTOTN1lVpXcA/+PaNx5b6kH9+qkt/3RZx60NUJf1 WlizydanhcUJzpMjW98xa69IHy5AnVge/54CrRa4p3BhEuocrinflEGdw7uJ Q/1L3ZohV7mvQvVcKrP/ddNrrCMbvOySr5zWAlO/Fk1CXqNzc+67HPb39gqr pvsktICTK9+TqNZwZtX2IwHl7PcZViIJ+D6tc5HGPU9dglVOn5iXgO/V+hhS 87VLoQkswXeh2hkblav7Nq7LYNcrwSUt/1VrM5wYl1yKOt5fle7TJB1bQGb4 /uWfSc3QHd347WXpZ+a5vFJGWFgLwOHK0uH9ACfbBrqGmoMh6M+5Huzz7KCu PlGqPB7qL/UeW1IeDPsOvD+P/cC3ech6XNoD8OpexwysW3pw7PQ17DduUL3j yLqSeFhTcO4j1ntd5Fh3Y99yui7dh65P/pX8LflZGWV+sYnceKDPwyqz4rHf OI2DxkXjeRhRGnW+rBN0R/qd7ZQGVc7eaXSRv8UBhbaiB4InesCs3rv+wYoN KnubrMVL+4tBaZJR0jk2/l+QPUUh5FoU4/V6/BaP2xx48qfMGvMID6dbiTzV iGHcMmXcSvqK4ex4ueq8RZ3AZGu77OaPZjaHpTtvqeaCj7gJ9u2CwHcParHv 9F9XvdeYl/jf+6Xg8pXhB/i+qSQZBwl8z1Rg48ibI/nBQJ+NAne+Y991YY/S Znzf0sxxXZ+xrm7WWtN/71E12lT+qm15M0xQOjzziWcLfJC7/EHvQsF/PDHx xsQXE49LvC7xucT7Eg9M/C/xu8T3Es/7OGfKL/EthaAXq8OHPPZhCTt75K/X S5nPOFiQC6Y6qtp9HRxYPfFYMN73pbqIbPqqPFBLmdSIeev5+6bXY776gYUk B/PjErlZVpgvT+7RXYF58p9Z4Iz5cZMFnnaYLz+2NVgD8+Rxm+YK/S3OBPuB hdquJhy4fl1NAvtlVY/OWiY/OQsmclPUHrhxITJHztCGHQ/lzSmPTvnzLQIR J9bdKYLgUZ2NGTpl0BNk2YF9tMaHHbvs/qQATqhd/IH8QDfv0kbkBa7N8FJA /gCqJt1EPmHz+LSVyCPIhBUpIh/g2bbyzAOPSlhyobwceQHiA4gfIF7g0jwP /Rln8mC1iL65QEQ9nBEwOOEf2s409fG443tUj4cI5qBOYfKkCjvUJ9yI3luP /HeaougV5MMf/uExRh58vPj7WNQHpE+wjEe9wGBAwxnUCYj4/tm79VwquHcm ZCxhz5U1EZ/Ukacm/QHpEUiHIMM7u7kkJhV0JUxWI++6Mi9pn7ZzC0O8KfGo xJ8SP018NfHUPtd6vp6TzGTP49SMZItGsOXWg2BRG1N4u9QUeevCu+sikMc+ 8dD5H3/tV3PL6ltbFgz83ZEWvr0R7kV9vY06DeKJiTcmvpj0H6QHIR3I45Jz XOQ55mdVL0XeI/eJ1zXkO4gnIN6A+ALiEYlXJD6ReETiFYlP/HD17g/kY76v VnBHfsaAKS5DXqb6Y61Rs04+fN3m14H8f5zmpagXU9oY4vuJ/yfef8mY+sbz DXkQvvPVL+H0BhgUXBKBvD/paUhfQ7qaYwnxuUxnCazs++aAOp2B87aSqM+B Bamq+D5KnquPRQ166qHA9NND7IdGfDzx88TLJ6ud0EO9gqC7+QTUL3SrReWi PZAegvQRpIsg/QTpKUhHQbwR8UjEH+nvsXVFnVCbyS/eKEUu2AQk7Ua90BoY lbHbUAjPEhNNKybkQNfEYh5878/jRXBYSKaY9WPiawQsCyCAs68Y+d83y+oq LbULgD61fQKnH6ruZiZdiIW0CcVg26U6IV82B8y3bK7F/vPr+VaZR65h49K4 Iy/Xns0D1W2yjtfY6zus//hoUWcRbJr2ucN6fSb8PvltDuJY+h39Hf1e8NNx MRzHJyZKA8fVqCNXjeOh+9H96b70PPR89FxbLJZnI99fNNtaHfn/jtcD3cj7 vygrTcb3BXcPpl3QYvHph7LEYzge4r+JDycenPhv4sOJByfemnhs4q/pOem5 6Xkfdd/XaGTjlpUVKUn2bBwTuvm7CcYvpEsjnRrp00h/Rno00qGRnon0TaRr Iv0Z6dFIh0Z6KdJPkW6KdGykayM9G+nhSB9HujjS1ZHOjvR1/+e90v/pvkgX QjoR0ocQj0i8IvGJpA8gvQDpBPIH753F97dOm3IX+y/B5we/61DPQLwm8ZzE bxKvSTwn8ZukeyAdBOkfiO8k/pN4T+Ivic8kHlM+b+dx5NFVWk22B0l8Bf63 cfZYz2UspeQxdVILePYKxT53+Aor0q+XKZc0g9Hre5a+2c2wX2zVm4062SDJ uV+GdVii/CEXdFOb4H6S7wrk7d07d3/F+q+7BwuuSNq2wKw+HmMOUwwnlIuz 5kU2wZJ06Q7EsXtmPDQNY/1AiOkEM8SxF+d4LkD8uax1kZcvO9/dV+5GIf6c HO5zF3F+r8yrliHWz1R8CryDOL8qomc+xgVepYedk1i7KGuXm49xQXrhLgvE n08/1/abtH2G974uMVhHdmPt/j/oh6bXVomg/mfmk8klmuz17fbqlCIuBetQ t1DW/wztOTc3nMWlGd5atxA/v2qo0NRl/d5M1eNbED+HhX6oC6luB6vRXRmr Q0ugQKUtyeIaBzQMfiw2O9QFZ0rMth79Vgpida6ihzuKwTnfezH/hQ4wqFGU T1AshPc2l+YsvMPii/2NBpgH7vwzRSByaxFwC7/xNHUVg+q7Wv8XPa3gZRfi jHlv2xuX5Z76N8I+pYnPCyzaQDtAutV3ZjZM5QZ+2hrQCK0+jxabjLTBtsix 41XCCyD7xCXrWtkGSOe2QIhrGwjm2y/B9xhfzbPkK3VvhOPTXh3DuBgeCd7B fPIRP046xsVL+LMnYVz8xyw6+F/euPDDG4yLXxkqBYQOdkBEhELJR48ceGig zHvqOQckTASqMV7mmxeSHR2YC/V8a4swXp7axROOcVOfy7Qh9KtO0dsFWX8K GrOu/H3E7iurm1v0cZ/tVYy8j3Uoiwu+x+N5cfli3CV8j/pjocwNGJe9Hvrt g/FR43ftwR3sPh62inyE8VGehctX9OsiakG1/ayfv7h14SvUhzfuOLooksUB E3qjxpmzuGDdg/DPqJc2SvrSizpM/qHOpajD/PjsYOKUojaYZpB5FOPQfKez w+rsefNwxu40jEMvdjXFYvy4cvTYTXzfeOM5r1yMH4995p7Ec8qlk5OL55Za Z1YNxqe+kossEU/ILXJxQXzhmacmhfW/948kA+KtL6HtVqgLfWS+rwnrXFqe lbujv5zNfclF/5nQm7OJ9ZtQVV3gNcT6V1HxBcK8rL/dPCDpkMvuL99E718L /jTCBaH6Wy3ZpVC7ctPosFMLXN/oKq7K4oBg2UswwOKC6Os21hi3lhn01a6U bgDj4/zRb5eXQqbG0j8xEm0gXTjbEfWQt1UPTKxl/XzophY17GPz/9DXgVvP NJkx7g0wrXhw8u7YCggzORf28Q+L196vMUa8KBaZ/Bnxo8tkA2fUdUvy9BfN /1MLYle48sLz6+F00Q7ue3b8rqWGWqEOHLBNEnm7WbcePgp9aca6iV93FcR2 S3DA/myaIObPHX67mlmyv9+/z+yl4TguzLMVau671QhK4ke01rN23nLr6Bzk 04srhiORT1+eq/w5waIZmLTAsL3ja+CBTbqFUF89ZP18feYee52Z45xdkUeY +mOmqN+uRtj7TsPwMruPBH3qw/9acuFixNCiQ+8aYayUR6rS3EZwflZdjXme /C8T9cYGhsDSK3USmOeJfxmUjXme+uyn0s8fh8DV6S0jmOd51qEwbuq4Klh3 4PJB95gGSIiVe5+B972p9C//071peDzyAIcD7f/lf7r5rhW9hXaI+129W8qv BPYc9Vb60MMBNVuVgXbdVljsteKw8u1iuHUz7tyHJ43wdkOCohCL59ICN4ae ZfGd3r6YdQ3sehnf5QLqbL0vj3kxjcX7dxZuGGFxPgSUSp2KZfHiHOvrRq0s frzp6KMdM6UNlKaemPWYjSvm3w/zwTjj9ONxvGx8Ab+XCMzgY+OQwOy3fFfZ uGSDru1F7O80VaFOYYDFu9VTZwX1sfhX692YUhb3gmFl03XEuwVcu/mIf1/u S47CPlH5QZ171Nm4K/3Qg/AvbBxWl7bUko2/IEL8Iq87G1+FpObVWbPxlt57 pVg2zoId26J8Ee+uk64pQfz7dsz0Uhb3Qq/FlvqLbByYobjJFONCoRNwkI0H IWQg3R7jq9bmA8rb2HhrprXsO6yfqtCw0EEdMri+n4k65Mn75wpjfZnz0JPm bNbPhcWsHot+z2l5lCLWx40PL54rxcaBX4sWG1iycaH6xo4fWD/VeT/+DeL1 /rVqXMTvs99f5GDdmcqrocTTLF5PKTpzB/H7ts49fNin65rxpDc/WJx6x8qv dCOLW3dLFe7w+9IBS4KNlZ1YXKvlHxGCODclalkE1lUlzVz1EXGwsfPTP4iL TTtW7GXxMByau1cX9VFuBtKmqI/a8FNnZ8vnDjj8xbwa+WaOX2sX8s8PdbxV 7/a0A28hBGP87G0kvBjj6ewm2e9sHA3Ve3/dQzxRfnniKV0WX2wv0u9mcQUs ml1wFPFBxduPqQyLF47/XOOG9WuXnLVXTmVx4Up+DTXEiVPOu/THYx+wm1pR k1hcaF2zVXkCixPPb0tMwLohn0Z+HsSd+2pPPkYcKmp48TeLP6FBsfA9L4tv Btt5IxHveJyVPs7iHPhY7/qgnsWROo+ikneyuHJd4nxlvoIu+F9fxf/6LFJ/ xeGjL3JQv/rdf+w31K9+DxsoxH6Mi7/2P+Nl8dD8tGdtiI9Eak1kWVwEiXYe 2xHf3FRKN0S8U20VrMbiHPB9kP0M82Zv8i0+ObJ4UPWL/gbMm3E2abUhfhJw 3yO1lMVTT0KLvLAu78x6gdsLWdxWHSq/r5DFcXeNz+3Hur8vCuN/nNXhgom3 YEB9WzkEx//6if0ZisuvPoxm4xA1iwhbCTYuEVJs70O/MCK24fzfM1yYvfr5 E1E23rq/pLA6nP39lYTg0L1sfCUlEpSI8dbIb60kNs4C+aYyt94ODuikHptu UJALz1ba52H+cMaXpXMlQziQ9P2t66v0XDhv43LnUF0HbOOcuPc7lgMnXOY1 R2Xlgcj3ycP4e548h4NOjlyo7+JMPTtUDr+uGS1Bfzcvrj5sx6k6yI+/3436 /8qijiqsf3kzUX+7BhvP/5D98DqTje99okbHHd7ZAbeehGYiDv6qctIBcfH2 kiuHMW8pyP2ijLrEMY+VhDAPcSDR9SXWIeb/Drs/p64SOkZl56BO4ZSLmmxZ B+vHOZq/MR/xwnFtEuYndHYvscR6xi86dg2pOmXQdGIocP2dIhCz4/BgX7I3 nJ8GIaFl/32aco/fxD5jtiJPehxNOOAy5thF1Pk/3jWg9Hdr53/nLJ27dN46 dhRMRx2OQPGoIObPphWqbcK8mfTFR9e8VrXBll+5jU1Xq2GW3y4HNRannbs5 5z3qSSSqXCRRT/LDV5E3hMVdH1/cTfAQbYOpTvd2K3ZWw17tx2f8vTnwepty H+rGnm37nY96lc2bHCd+LygGR5fJlqnfW2FM4JuMsUeqQTtGqDd/FRfKynlm 1ye0w46gOwqrPLnQG3H8WtRgEZTc9DLr2BMJvx+d/TNJqhOMDpoUCNZwIW9x uEm0WxQIvLcbPP+5Exy7t63zuc2BSOBNWnU4GdTfOVaIHu2EB/wyiXrs9T9X bZhu750Mm4NOjokN6gQFrdlfu304YDz9RxbqlxryY5WRB4hIWNuN+X/TtICc jHtNsPnuOZmtB2rBZqZa7DXWn1b2cONPhDXDQN/SCYIjtRDvamSM/SXy+AT7 huSbYeKcOom/XtWQ0sIVXRzUCB8df8ag31V26BNFP2zmYZaJ/ndg93CddlMT vJk9NcT1TSWUvlr93ManCS6+z1LePb8VVmdMPh37sw6CLW7+mOXHgelHxsxO 822HefNNrqK+6JVtQp5QXTHMGNC3RD1SoerC/ahHEt439eWD2mIoe/y3AvVk vr7m2jHh9aAf8m3G8JpqOHxeeKerEfv95GfZE2+zcc1ko9iJLK4Omxb5MDO8 GTaZ3E0snVkFPjvE7Neyfn+8x6KOkYZm0A8Luy++uh6ybcsCFK9z/sMBhAsI DxD+IDxCOORbemjdw45uGJl2vA11ZAvrPlrtayz+T3dFOizSX9F60PrQuvwf fgSIH7FbaDcW17X44elfduw658dzcnF99asD2zjFnRBU6TwPdW0xqvLpDsW1 MK39vZuVZyfcUOvQOKH2CbQTVYWM2XluVAr7Z0+iZsqL0L4qGy//syvaJ7Rv aL+QnZHdkb2RvZL9kt0+aNulh7zbrvoxtvUCxdD/3KwcebeZK5c+QP5OuJvZ g7o2sXGDCtgPwW2Lyhrk71orKlahfi2VN+sa8ncUP1A8QXHEsICnMD5nsNj6 f889x7s/C5+3fZeiPl4XlgXfx/v8yBtUxOtvFE+owvVo8l3LwfWxkJxvjesi Frx8M86LvXaGO87T7WdcfpwfZ74x//LnTqstNVDfp//89z9dX7Tl2OcY/2Sf M+THeOjKg/fxGAcdk5Tqw/qFkR26FzF+OpYrFIlxE+FjwsuEk+8ulXJHvYhz S9OcHWVc8BK/+jvFrvW/85rObzq30x+sfon6Ky+Z6hm3GmvB+PFCN8TzjEvr b5mrdf99fjhyyDaOjX8/mai+PN5SBe1v3F9Hy9aB6BsDW/z9mzUb1qKurGr3 xceoKwsQ607H8zxy9+wR7fIq6LlXYJZcVAtVE05c3tDTBkdHDNsRZ+S/FO9C 3CGdFrgB8Qb5P/KH5AfpfnR/uu+md4XH8bqXnEIG8T71QzPc8PoBPEWK+DyM uGjYv+cT+OCEv390YOJkxP1R8n2zMA4Yq9p+HPE/71TV26hvyyof2KnEzt+2 tWmSqey8UVxBcQbFF0kTPoejTunIvbNDSizeT/iSW3WR3e8dB3f/iwdaxqY+ w/hAWuj2OYwLRF6c3a/OxiGZ3qfCQ9i4xGTSqtUqbDxyOnHSEOoDHcbxvkV9 YHLab3ectwnB5RWo89O7zZOIn2nPzcywn0x27Jl//k/1svl19IcHb1jIoR+0 eRm7fjqL5zZC34GnLL6bUtrjhNehc4rOLTqvanZnTMbzt6CjMxbPY03llH/n MJ2bdI7S+Zki8DT/FeuHZkkHN4qxfqmivLoI+8aU7N14BHXgjqU356JO87xI d3Y063dmRWzYU8H6ubhpeuXo93p2HY3HvhN0vtN5T+e8drFcPJ7jMyT8a/Bc X2/ZEITnufvO87F4nkoZBD3C87UhOvjfuapVfGQl+pUVriJf0c9ktGZGoX+h c5bOXTpvH+96oIZx5oGtCR//1YnwywtjvEl+l/ww+V8lUbeJ89hx5r7gU/Fg /fkywbwnc1k/Tn6X/DD530qe497oV2w1Hs1CP9M6OuML+hfyH+RPyI+QvyH/ Q35niZCCC+o2bGsl21DH4fzQeIKZXg+ck1SOQV2L5VaDTtS57Gyvjcc+e/4V EhqoU/ke5HUddSuXfU8pYp+9+vNqU1CP8jZwtQrqU7qfb/2Jff9MQhYJoI4k c7GUCupK2lfzHcE+eIlv7PSDAhJA92S/mYdKKdwJvx+I/fcca8u5qHexch/w Rv3L7MPH59QK9rL4cacP6iekFJYaoZ7CSmc7YB8510uN/KizGa71eom6G++a SYnYJ3n5066OSq0MkE2bZY+6m4+vmW/YV1nQ/vkA6qXo8/bnItRNgRD/ngWo cyov8byEuqe2Kk9v7JtXfHK2B+pSgl/WbywZFwIjaxzCsa/d9eZxmSkyWaAo H7UadSl8JmrvsA+eZ8PaVNQnbV68bhbqTIRy5yzG/pAXeDslUDdibGE1jH0i pc60mWF/SHoeej56roGKwCUu4zNgltuZC6ibEqxZsAj7QIrYbxOZbpgNVUu2 30Ddyxen1+ewj5/Oiz4Z1LE8uKs5ijoW5TX6h7Af5vL499moY4nasaAFdSwL Hl8SX8PG9YU3pSRRJ7NDuE8WdTJ79ihfwud9HFGYiDqW/pnCYahjqXe6h++f /e+6dB+6Po2DxkXjoXHTc9D4aR5pXmk+lz2c0IvzFdif6Ibzp3tsjjTOW9Eq gyUB60Ngx61lK/vLv0K8UVYt9iF0VuZtdzwWAu/UG2einivkjz3qiP7LR1B+ gvISlNegPAflN+g56bnpecleyX7JbmkeaV5pPmn/0H6ifeRdIdg381P2f59J heF9OE7jbLPzaJcXOj/MQT1Y1k6tAbRP2le0z2h/0T6kfUn7kfYb7T/ad7Sv aJ/R/oo/tLsA98kGLVc53DczDZfE4X4pNBevRh6k8cnJ68iDZIZmzsN5kFp1 97ZTXzZEh2+tQh1X1gUfZeyvframvbR8Qg68sW8tOL+hEE46tMzC/ur/D54I tuSbfEQ+RYcRdbvAXk8w8742Xuf/wUPB8Kry37j/dQrfu+F5sOtTtQieA7Q/ ab/SPiX7IHshO5klEKaA+re1M+wSUP/2e0biCexvSXZDdkT2k+5x+TXqABed F1iMOkDb1/UO2GdyhkhZB/Jq9NnM91foUHU3mEcfSMiTzQGlnFRP5LkuWH/q wD7kg8H9/+ocwHctgzjO6urIO6x3oPmi+aN5o7+n69F1aD1ofWhdzszLLReU KYaAKQ9S+C0LYJJvxhDmNyhvRXksyl9RfofyPZTnsfdcJurxhD03P1e9xzzZ n8CYMMxXCMQMvcbrludEZuN9JIcG/+D1qQ6E6kKoHkTrbqgv6kA23YmuRR3I 1uSWtaX9xUzvhe/GGBcsnzerC+MCj5t/ebHexHrMl3KsY1E7qpiCdS0XD9xs w3oWXYnt/+pGNkon5V5m8fyh15PeYv1I1V1N/ttlncAr8D7OS2lQxdzCza7k JoehOgqqq6B6itCrvHuHO5rB731nQbJuKyzjMb53a4sSQ3U1VGdD9TU5Dtf+ 1cm0aDrwnGbx9eJLW65jvQxPoIdkE4vLq7XatbksTp9pce+seXEtc9by+Gms 22mSXGCDdTwr3j82w/qdvzFKZ1EHq3SMq4o6WJ/do0+xv3GjoNI71N9oWx88 g3qcpxe8wrGf8H5+u/m/9wNsi5goPtwcDJGZct3Yf7jiqt5r1OnSZ6ZrBup1 //t7uh5dp+NAeMMEbvx/n6feaSRg3+PJnS6rUMfzRE7mLup6JM4tQT0PTH3/ +DTqi8ZFT56I+qIXe/NRXwQJIbZPUAd84LMwg7rgWW+2TMF+s/Rv+n/6np6T npueV7vA0R31N/Qp7FmEOhwQ4zzWRv0Sl7M/CPVLPabxqF+Czb6Ow6jPeSCz ogH1OfJf9qE+579x03PQ+Gm+aP5o3ig/RfkqylM5vvRzxXzW0tlGjzC/pWAP 3ZjXojwm5TUpn2kTsukm8grFnfcakGfIXf77L/ILB413FWG/j1U/BHbra9WD iHXrntHCNvD69cYY+y8cuyS5HPmHK74aj5B3qDyvnIz8wdzxfw4hn+BnN/0y 8gjclPJwzE+d+ZKzA/NV4bvlx2Oeytf4DD/yZFHQdBB5s+M+u/B9PXCtO9KM WV0IXlHCy3rsO6BlZ+vT1SyuPrDdtxz5qr5vnk+Rvxp3ff1v8+cc+DOn1AT5 yOw3Sq7ITw6v78pBXnJp4axo5DtVHzr/4z+3SyX/4z2J1ySek/jNl399hUMk vsLZlXZ6WqbNYK96ZSX2nyd+lPhS4kkp/0v5YMoDUx6Z8sqUT6Y8IOUFKR/Y Eft1BuqU+iYf0kOdEtdQTRz70ow+6zuA+qg3ApvvoT5qtDzrKuYJ4z83WK2c nAVBUdZw340Lz+cMv8X3mKy8rd+O+cQKrzY/zC8GCJ/+hb+n/DLlmynPTHl5 ytNTfn4zj1oN5hmXva3zw7xjtNmresw3LnT9qGlfVQyXJxl/xTxiRc+6vZg/ pPwg5QspT7hn+hov1E2dDDQ0Rd3UxALXWuxjtpW79SDm641G3WUwfw9nPQYx b7/qbWog8hk7JvQuRX5D2O72GOQ1Tu/y8UEeV91hVQ3yuoK1GjOQzyU+mPhh 4oWJbyP+jXi3oLkxX5CfM5BM8ES+TnN36mbk6YhvI/6NeDfi54ivI55ulsT4 0BadfGiezcCrV40gw/nYiLyMhqpMklVDHnw+5WiAPI9sxp7BenZfiJyv9J5+ Jg9CxLx6kedRuXIvB/md8X9fFqHeoykk6xbqPYSdXI6ivyOemHhj4ouJJybe mPjiaUu5VavDCyCk9ofb3pE2uKc8RmiAjTcn+S9TRZ74wdDUj8gbc9PhH1+c NqKnhXy2uZSWFPLbE40U5iCvfd7l6E2r0BJw/STC51/dDhbH4zqOsHGZe8HB Mci/NvfflUY+1kFFMxPzG/Z9UaWDbVnQej54M/K3lkl5f5C3PfpXf8eYPVlQ VjO5YcSlHl7eF1wcIdUBmQETDJAnm7XsciHyZk6tm9YhX0Y8GfFmxJcRr0w8 M/HLxB8Tn0w8MvFDxBcRT0S8AvEMxC8QP0R8EfFEHWUifKjr2Ndf3PIruQLk 35TyYF9B4l2IhyH+5aLbhrEpOpmQs23MHeTBUvZtK0b+i3gO4j2I7yDei3gw 4r+IzyB+g3gN4j+IDyEehPh14tuJZyeem3hv4ruJDyB+gHgB4r+JDycenHh0 4tWJTyfdBuk4SL9Bug3ScZB+Y7ltrR/yTMULZwsi7zR3zckh5JuITyJ+iXgl 4rGI1yI+i3gs4rWIzyK+h/gf4n2IxyJei/gsgVNXelFfOmER1xt5zr/Xol8i vxmUUZ6D/GhjUsdK5EurojKKkCf9kPWFi3yn40zOHzenSljnvikOec+lnmr5 qJ/0VZ24C3UlCQnlyagnId0A6QhIP0D6CdJTkI6C9DGklyGdDOlpSF9Duprv rde7z0hmwvmIM+JJFo1wR09YCvUPfk0a10tjUkHk28g/XQzfeHVP1I1/CIxY jLqgBw4b2/D9Kt6xjrPw/Y82C8Ra0P/5jhyOw/c/Hnuy0RH7clyPPRH+gj3X FH13x/fp5DOd36vzUa94dV9Ey1vWPhbu+wPYX87MzCgA9YES19q3oL7TTP6Y ZnTpZ8Z/SqEY6jz79nHuoY5z+/C1WnyP5M3qfWKo5+xf5y6BfVIK+p92YP/n F7Zz12G/lOvf7tVjv6OQSGE/w4Y85qCXHpdb2MYEDBdpqrPnshpHf2ZvTyHz qOJxPuokmYT+v3juDGwco4XvuzTwca3C912uDsy1R53Ghtk+v7Ef6by+r+mo jxXN3GOE5+8tm229QmfymB5LKTfsZzWquHVXBHvOBsbcGNTdUcD8jp5xPMC/ keGVeHZ7gD2PCrvunFS4XcwILXc7nfCkkWm7Ey+E/VyOCNbvCXb4ytx8p6mB fV28E12fLWbxx5zF2hr5TDETKXvjsHhkE5Ow4gd3D3suF5tstrgRXsAc+XEq uE62gdE010gMZM/BXdZPA8/4lTD7hL9EVfdwmO0CAcnY5+X17bon+P5KuRxt xYWOLczi7UXLUe+V52swCfvEenE2rUfd15EXK2KRN+/PDx3Bvqxt11dPwvcm /+89pPB/30M6e5/kajwHs5aUfMY+tBevBEqjrsym+KsF6uoWzLFZbTTlLfPx nMYC1Nd99T26DnUUL/XEVmC9zJD/2jWoG9w/X0YV97NWgWmHXE0Ic+nPsl+o Y/y+VbAQdYcLt52OwL6UJ1y4A6g/nPQzJBf1c1ZHk+ZhH1exIj871NHtPiMu gLrG6I0Tm7Hva1TDy2zUN6ZcW3JEkvW70cOGM/B9l02OXfr4vsupLxc9wz41 vqEnk7AvYpLv3QDsV/PKruA96lmTap4HTiwrYW5oVyqgrjUwz7wd9a+LZ53a WfeoiFnf5GiJfcOGFpz9gDiVZ/T5lDBOIdO53ccL9dK+c9OHUXd4tJO/Cd/n a3h8hTvqD5/55KVhfpNH+y2DfX11oqMmYz+czaoJ27GfTmTJWcHdsRXMOh3F D9hX5/JZ3XV4np6W9dPB+pf8fmd+1ENq509ZhOcC/42L47E+RcM5QgR1y5YH M1JQbz1m++bHrRbvmNCw2S2ou7aG+mrsfyXkV+2E/S27Zh2qwP5XOULr/53j i9b29WN9yv0Lb0+i7vFqrmIn6jLF85Ot7O+EMb523IOozyzeGrAA/YTHx1Px lSFvmfU/BJNRz/mlx9ocddKJ+frx2MfyzVkeX9RL9w9NdUKdlZHi+RrsY/nx 87jT2O/O8KLnONRxfi4aDcd+iVqm3A+o5ywZ78pFHeeTY6G5DnvCmbpLIV9R z2leVbcsjsXr5y4Nh5R75jBn9V4v53nOYW49XXrxL4vv9zyZHpOqWMj8WrHr PIP9MTwkQwNZvHJNKFb6o0Q282DgNw/Wa6es2dqrycYJv1SFk7Hf/pq17r34 fs/AloYDR1kcI3pSLuH0t1JGa7rzuaMdxcz+11ufu7I45lxxylsmtISZO7/9 TuM1DnPN/dWKChY/cfPXvLw5M5tpmLs8Huu+Hx3+6IT12hpaWSdyasqYB9Yy glivXawhbY/80NO5TsNYd/ao+conrNce8qo/g3zS9QnLmrDubGulURjWZd/m wj6sy/57tcEU687kHxVoYV32C4XrB4bYeMAspMMB35d9Efg24Puy98Q3H0T9 tPpmG1fs37s+/08X6qivLVm+EOMKxT8zH2D/3lEHs6Oou5YaDZuKdQWpfkUT sZ/zZRuZZHzft80qVwPUtXPiGpfge4ptfXmzUd+ud4vPBPMjER8cKvG9cFzz XAvUt9tmPtbGuoVvhvP48L1wYyXP5mL9gr6pWSTWXez283mH/Z95T5rGYf1F tU2QZsShKogJ5xMQFixn5BXUlLBe48d7o1GMB/arqxRhf2NtS93rWNcgLSo/ XayuErx3WKVhH/7fEa91yzo6GKuFAYuRl0r5Mf0kvv/irZB8k29PO/Nk5O8L jE9SPCpjsS/xlmb38fie9Cs29ySw3sNgvMMIvq98SmfDTKz72F4dlI71HmsO yMXie5zf6My+iXUfa+Ibx2D9id4sZfkrG3MZn3GTRLAOpWmJUjjis5Ca6F3Y 5/nx8vkjqM9v2pIoh/jvxerBcnw/td4LJhd1/lKaS8aivl/49v9H15vGU/lF /cNFRERpoGQKUaQiSspGKWlCGshYxmSuSKTJLIUkIkOmDEkylNjmDJnneTjm MSIy1H8vn/v8XtzPc786n3M5rmtfe6+91netvdZ3iVdCX7+ql3QNkOd/+qVF KvBUvFwO2VMg0INYZQsagaeCT3KypzNtGDdsK1KUcutG5f4+jcDbMxvA1CGU MIKfisuEPU/uQXfqRqSAT8N+H1brih3BvfrSMp2KHcjkXb1QJJHnrOyhK3sk hnCi6KXyVI82hKK8aD8RuT2gY5HLGTqMe5d4NkN/AbtTb0Snq+uQRZLTVgr7 EJ76+Gy78UgbmvIwqTvs2YW0chIeAu9HMP2aDGW7bqTw7MVx4P0Iyuhl5uMZ xL+PXzxYMt+JLC2fhwS/7kKtmU3n1WcH8TuhQyxfb7QhR6abL85IdKP6w6PV 4NcdfSmfAbzWCn5r7aA+Rd8d5wKv05/wygfRMY0oV/5K+5rPo2iapioMeLFC Ry2fAH91QuHzU8CLdTBqx1/g8bgmFReDHTuRgVCf9vuo+7JSge+tIE791MGw AfoNfSv4NifJPoFetUuu1Nvr0dV2Q92l6YfAlbp7izHewF/EH96rJMetVv0D eTELHAA59N2CnIFf7p/NLbqV/uaivhjysRXzLLoBr7/uDJWFPuD8Ptp6kF+9 WtlcBvgn07Yb/VhdX4wEh5baoT7IfMqkBOqdWO+98Hlf+AMlvTg5A3VP56qj G+QWu3CiavObMusatFskJFP3wggy2XlxGuqmgq83ORD/G02tOxQM43k8J/zw LPGfb76YdOc/XYMGvrzqJX400g1ZKoW88I96gtXQz71m8dYFyA//qamWBHnn X7/a6wBvOZqeeA35569oR6cgv9+uwMUR+J+fHV1dAnn+ls8N2cFPsFDs4QF+ 8rA37sWQT97/bdNMJPErRIc+tquYF6PBq+gt1DFprz4/AXytij23NvGG16Oy 0yInof6iZolhH9SNpOQK/QE+29uU3idQP8L8JCaMxqob10w9TGJ1bkJCYXei 4qqHkIHMqmPAMyJnsbiud6gJCew9+W8Pub6/4vIy8JWoBNtvsPzThC748EUD bwmyjr0I+DxTIvAd8LKLxa5SB3zO0TszDzyAXJEbTaB/sWsK3TDkuYnOudoD /r+ek1QDfPB+I2pHgAf+g02MKuB5v038QcAH72CxPAM88Lo8rBj8rP0PF8qB V77jpmM/8MmP6Kg2gb/Gs1f8BfC+p/p3vgd/zenHmp9QN2HPljQFvNoc0bfP gR/xv/xNRPU33ek/3QZ/09+SzRb4+Hd0pq8FfzPg4W9V8DffJ6VtB/7+l2/q UsDfjMz2ijtJ/M35TQavge8/onPeEnj+m+kyt4J/N2qnfwV45QO8pC3Bv1PI OT5LcCru7fr6APrVvm88kAd5xcNib1r2MX/H06aUcehXK9hYTAdxnjVuQ+WV 7tXYqXzbr1bFcaSRxfoI+k2szVycgnwGvS//nIm9QleSryVCPsPR0zJHgJfE +VFSJPCBW5v5CVHG6jDzWa6E92E/8Cu5okjoiyFVLMwNfTGOFOsGaUrWYP/1 Wzpa7UeQlQWrp7FfF87UqNv9wLUcFzLf9M/9RfS4Am0U77suHOnXdQj8WU+L zV7Ai69w5Ucq+LP0DscFwC/OWV1fDvz6BjFcq4BXP/uYXwbE5x+FjIdB31Q+ kdgjEJ+fuqbzHfzxX3+Pq0PfAEHFnhzwx8ujlt2siL9T5i4kBX0M72QcqwN/ J/mHI0WP+FPB2ec/Aw93u+tVV+Dfvqf9whj8rw8PdQOBz1vklSc9+F9P/DMX ob5s8NDCXuDh/uf9KA/iGGLXRjZCHMPx6shV6Nv4dixOHOIY5rZsfp3Ev57V vCUK/N9xLB76wPt91//9J/CXfftEvIFH/O52vzzwl/M8jndFNZTg9Ek+f+Ad VzGP9wa+cYuZPGvwE1e1VdVD/0dm3wunwE+kk2gcAr+4UVmBGXjfzeboDIDv nVP83COIC1XvHKABnvjA35enoH7cVr5+K5z3CW8fX+nDZnn+yUr/NX0uRTWo 92G8f9YY+ODrDSl/wY82C7UqhLjB1DXON9AXQoxXTh7iBhuOHUxRtK7Fe5sv 3AC+8EI+cwrwhPNHPJ3qU67EO0X6XgD/d8sLRg/o+7mqyK8fJ9XiEq6GEegL 9NHh8F2Il76QPrUL4qXOdjQI+nXOeO+Xg3hp73iP1sxEDX71cjHuKFcventP JZmRzOds4fjA7d4K/FLQKZepsBct1WTlUci87dooUQzxVYGXSBf6AhmcOtUH 8dW7LpIntlhW4P1x/X7QJ9TV99BZ6BMq/m7LSYg/NxRKGkL/1ioffBfiz5IR bo8g/hzRc6wdeMr1PW4cgPhztfTkQeC93BKjZAP9xNji1mZBHzF0btIJeC91 n9pIAM+6nf5PVuBXr+J4zw/5DDsGioehj4d6tcIM9O9YMvQvgHjgru2dybzL FDRa4SsOPO1GhZO31zTWY4N0/cvApz60ruY98Khb6859PB1XjZ07Su0UloZQ Swhd6tq9vZjX3Hk0ma8MW/TILUc4DyGJZQbFFhcKpr/16Pn289U4kP/htq8T g2i/iszRgFAKLi8wLXu7tQznl5legj4IwQLRPy++peD7S9UHox2qsHRc9CXo X9AfwDoIefiFMtc+QVx0m298wsfBfhTIJXob4qK3Qrdu1p5pwDmTg4tGWmPo gvub65ojdbiCktZc0t6Ic6QPLhD8i9YpunupJNyXpVk1WxAWU49bshinH7QR P0HSYz7GqwtPD/b5dqI6rNX06j7/nQG0/sqzkR3xfXitM5f3hqB6vDvm2vti PIzmvqmYvpnowufo7U/J+dbh9Veefu9TGUStg51a+SEUvMSceZFbcwIn5l4b h/rorDl+0aqfdSjxPufyqZJRvFFDoPq+VwJyf/Po+zbiF3T5H1OC87VuJ7Fl 4EMI2P9xznu0Du14P3X1e/goHmSq2/zZPQs9jM8+kOndhVhVDFYFj4xjvoic bZdmilClrp7kZUod8lz7qsWbdxRHrVF6OkGXiCpO3b0r3NuNVNd/zDh8fRQr W97hjtTKQj5/9Z6KEPyzQ+zRTsmnCdgntkDxbckoWnj8yZTWtwtzb7kmz30y Cfte6OGE/j6dwlfqWn7W4T2+OzCc/2VY1x6FPkHS68QHIT+QppqfAerNtnwz 1IE+CxK7Fj9C3Vn9+zRVqPeXCni6Fur9e6rm954i1zc/tteBelqbZFth6L9w 1er+PNTV2vOIssF5a0f1xFbg07BL6jRf4Zf74ny4p24Ui383Pb+/qxCFiCyr GNd1IKE5iuU1t1H8XqiMbaNCLhI9f+BzVlAXOiVlfNPGLxYP5bLbAs+9rJTq V+C3D6bjzId6vbWnvv0CXvwdaJMz8OFLT00+hvihtp5RBvDc8zPdAn8Trz7H 8Qbq+DT/0JRDX4ixvfTi0A8Cb3oZCHV28i/TuqC/RJqK9Aj0lTCtvaG7eCsT JwwcXTyv24/cDw/8hf6Dz+d1MdQRu4QNKkDfiahnR7dDv4mRpva1UHfMMR4x Cn1yP5rd/AR9cr+rGJ+wnCnCq5oohq9HxtFr54TIq5Q6fC49RcRZIRffvC07 aOA2ijr6kI93ELFTEkUn2joLcY1NQ1J33Sji/TQoZV/XgSXGFmTueGZhJv6g Pynho8hE9PezEe8urFmum5Ohm4VD/HqfDeqPostPmNvDJLqxv9lanwdq8fjJ t/JvNEKjKHHJbephazc+pXTWD86/qzDyhr5Rklm02pDHuIUnwADO9Q7QzRtB H1q9Y/y2wDMQ40AZAB6DZxG0ItCPlUVJth94DFytU9og/8QjpjcU+r4+cRu/ Ajwtc0lV/5YnPmO1c+dkoE9r3f2P74Df4MrdxIPAF9Tc8Wz7nsVCxM59WQT4 Xn5QbryH80oL18Sf0IfW9V7QG+ApWjJ0EoQ8DLTvlw70YV+S2PwL+HloNjup Q/7Bq1D+IOhTOZT9ehXw8PAPmfBD/kTveR4X6M8+ruidDTw/CkI+kpC3cTpJ OAv6kQp1LIkBn4+FmutPyDeSe+5aBf3f77u5KANfU2D+7rWQxzAtLsYDfT+7 Qs48Bb6aZ8XOmXBuesTzkqBOZRR6y9E3BzwGlUsv18A56KfItGvQt9fJdM9t mDfTWW1O4HHIUvB7CH1vQ8Y2Qt9bpEW3lxPycLQFzZac1hQhda3ZXcC/tLyZ YQB4dqzOU7ygX+dFAxvIw0FrXSKWIQ9JrziG5rdJGUpmYegEvpojvod0Ic9n x10ebugfqp7ZdQP4duTKR9dB3om4F50u9Hu12pHSB3xEauuYi4GHSGDLZ6aV /qGCfm+Bj8h4tuQA5M2k9m/Qhz71NekReeDXjFpdtYa8mbcq+ovQrzXhwdY2 A9UJdJnhXSLku+wPn4yAvq8f+EVzgWdJp4dPCfJy1OSSNKHPqmjpLk3gKdI8 IPAeeJrOSUTnu8o2oKWvIr7A1xTif/QnLfAcvdmx+w97Hfq8/upv4Bu/FC86 DXkVb9voNQRGa5FA9y8BiONlj/inA39RuqDWU8ruasSfTHMA6n9vXLhtDPXL szPfttgdrUG8l9vpoX55v5DWLshfiah6nf5Bqhp1NB+a9CTXfxydboVz8R16 JZyXaNNQ3pHocJC3QRr178CLlbu7KRL6/Kr/Nt0J6zL55yMD5FfpX+wJg77G xx8maoCcfzdm5AH+ImYWoUO7FqMQSnLcBfKMv7LWAt9H2l/Wxn/9UYjZJmQE 9stLjc1ZkOcTmdz98bp5EbJRts8C+eQ/kZcDeUfeu09Ot5wi+yiM5yfI+fdB U17Iz1E6+PqX088ytE/clhved0zv/mfgaTqzhrdiS24Zet9XNwt8TY8la8Sh fptts41zE105yvnwhRXmoX/hlxzk88RzqY8dtapAaw58EIM6cceeEGbIV5AZ Gx+imST7PfdaGOzT5VCHBMhvaFdJ7IA+tmu8JFZ4ycpkErIhzyCk0O4L9L81 a1LYDLxk/4uvDFH5yu4907oFeUElCuGPoI+upWCRE+wj7YmXnFB/ws2d3AT9 WHifMgRBPHDL10dfgd/jkXPGt4WULhSQ7LENrjPpXnlZYF2DzVlcmk8tdiH6 jzZ5OuDPPmC0gHPhafb7Jx8fa0dbD7n9S28YRdEMcxnAB6Ie2tfOH92FSoNH GsEvFmEJvwnn10kmjunQ13tdGeU5+NGMOS4qcO7Mxk5nBv2mOOyE5SCeI3ko qAP4QJ697Yg9Z9ZJ/ALrC8AH4lxj2GF9txy3Pc46rD3fgCKVHHUhTnWRpuL0 dFU51s+p2DG1tgUFvpqeg7jWRc868wKJCjwum2EM/co+GcgLQZzKhMU7EPhA Cj5qLLg4tiDfR4x6EBdiUp9uoyf4xGfzT2/oD3U9XetLyUQXKjxssuokwSe7 bbYFjRJ8snPoaH1mCAVd7JTjAb9psGHYDvwmxs8q0hBvdJiwvA35BpEHKU8E CP6pYnjxijO+D3GwXrB0IXhJQWf8jzbBS3l+PWcFCA4p0WR7rEVwl9NqJQS4 iy9urZTuSB3KMTN+Bufm9U06YtA3LHqwygziKhxf3QxV/zbi2trYNuhjWfpy /ALEzZaljZfuttbh++zxE69dW9B4orYHxNlO6C0YQh6Ca1JQw0BVO3okIrEL 4oQqVruq3MXr8YvNtycdW9vR8PzWCIgrUjCrPfAzDLOtm/kd2o7m7ztNAj9D cZxaBJzXh7R/VClQbkSq4nfkIW4joBfhDjwnLUm3v6zd1YgMChfGIU5I6ean g/P6EJ9sfugvN22hQoE4pI5u5tCG9U349KXaOujPWXksXw/k7eCl4y3A33JK 81mkoFwL6lJyEoQ43uDpulvATzct7egJfZB5jKu3MZJ953AzRx3y2MNSo9Kh X+5ppdx2iBPeSw69BjwSDPyhGgkHu1HcoJwQxDFuOyd+hbqs3nbBsMunetCW yxvWQxwjT9QkitO5CR859J33n2U3mp7cxwtxjPEwdwrwpmZ2yNVZKHej36Je pcCbunPQ7Cbk869Ovb8L+hIvKb/3gnMr7+710ZDvrhXqMeZN6UAGd647QNx+ LH5rA67twOJjCRInmlpRkout/dGJITScuycR8su9+EcvQd/S/cwbTwOv7B62 8MmzTa3YhNeBI7O2A9Hfn7GA39MZugoAzypbTJDRs0NtyJXzSDDwrHoXG4fu c+/EnMIv3aFfc7SklVHq20HEnBf/5tNEC7Z7Xq8F/UyDUmIvwDwv83blQd77 ssx1S+hneoLNGvorIclw3YCPop341AZTbqOBVvTv5uNUenL/tWN8rpC372K1 wK/O14VWDeqmAO/lC9O7C2cgb1//8Az0j/ataBnOsxtEyTQjzcD7+WiL/DWu 5Q6kZNNm9Y38fprBd0aNrwurWC6yb3/TjRrufpy6Ra7viJh3Wk/TiuX2X7nu mtSLJldd7C8i14v06s8C/61b7LgY9F+2Pl6nBPy3nCUnNVXWtOOafyWG0DeZ xdgx4yX5Pb6mWgI8nn0FQR5Jop2o6vmCFow/U3PbxjW+3fhot5SJjg7xR1p9 4kyJv2B12m4mJq4Hr6E4PhyYGUBi/inrZ6Ta0DPe/PjYM71YrsOSD/pLfjti lPeqg/gFhyuFzth149XhXxfz/IdRo80xB7bOOrTreNLbsLlOrNPwg9+WZxAJ cayjqwCe8ELHtpKDPbhifD+9BqUffXnykvkn2e93Vh+/5JPcg9NGOjOEE8h6 39GlNU29L9tQ3PAMeJaL2b7l9qQNI8rDGZn4X7VoW22zldR6Cn4mp6Q2Sq6z XgjPfJx4XzYgbMuHncsdOFeh4Rn0rU6ocjSFedaquRFbENCHTcaT1bQ0OpA0 61FXN+Anr+noBP7TR45vFu6lk/1lG2oNPKiMhv2PF2gp2CHtgAv0Ww5PVV6V easf8Z6gXxiHOoH1U1Zsnm3oilzmUZFwovf2uUU/SerFA64c0xtpWtEW/oSe YvJcm69nXlnH9uNh5ivHihY7EFp+ajQu2otm/bX3BvX2Y5sZ1ox0yR40d3Kv 3TKZh7Unwk2vZVJwlZbYoRkLso8kv107wUlBPvYfr/vpDGDDbe/8P7zoRrdy Uoo9yHo9uL2LafoFBb9CMW43aboRq2ZCjBh5r1VjERVNMwM48zxl4UtcDzLa M3AC1pFT/SnHWNowTlhWM5RcT95fjIH98f+XBxtRebALTj0szI3rx6xWXKh/ ayvyv+qWcziUgjyOuehA/VuuxLTwPC0F1WbNCaST+dm6+cu4Dk03livN2L34 goI0RXvo9pHxONgbCALPrfm3U7QnVHrQv3vVU3D+u/vpZjPg1a0NLHGOV6Mg P3bZAnty/2a5D8eYgI/3jM4q3TXtqNA8fEMAmc8NPbEVYWoU3C0skCd/vhut a9WVcCK/byt67i+n0oMnipTnoxy6kHTAZIwcub/st5R/cxbd+Nq/Lgm9TAoK 0d68+yiZT8kqyhPI33a8nRFJcCLqy+NVAXwokL+XG/K9z1xrc6ULK0J0OtsP Ad5bHzHfCfnbpQMari18uchT814f4M8rDqtfQ753lfaI9Mc3RahZ5+x24IEU jx8uBl5QVo2oLe/fpiGjSPdIwJmO8UdbIE9bTfRKFcUqDUnPvHwHeNX7NF8X 8HN+qi/8+u5INGqq3NMFeFgr8/oKjyXX72J6gq+RqIHZCo+l9bM+ecjr1pQ+ KuhxIg1t2OszAbg6U8p4hS+0mcdBlfgZyEkgSBL8C9fv9fqQz7xOrNHR1ojc /15fE+A0vg0n9wEPj6ac8It8ujq0l1+dab50HJlti2+EugOFumK2At409EaE uQhwvqh7XQDkXdsqrtJSLMUEL+VvAn/ngavVW8hD5gnh1CV4GWUy1POu8Ft2 XdwNefw/xW4xNtFEo97WonjwI9bwPeQc8WjDA0I3Pv090I9yL8mpC5F91P90 M6V8tA1nMCYomrEPoSM5gdvNPLtQprYHd+NiB56J9R58FtuPzB9ZpRaSfYTD DE2W9dqw5BrxwdHZQXTdosXaX6KbrK+pXc7WVgIM9xpB31uO9/PRokROCpcK lO3TWzB7IqPymb4+VBUf43Cb7Pc99RWqpzU6cPR30felAX3oziUedXcit0/5 xP5B34Qjh06r7wgdRs9DLhfD+dF+Lp0o4Fs/PpJXcIBuFDV2BPK+BN71Gtu4 fMdO/OX6y70/do6hqdu3neC85ov9I75WxQ48ub4wDvpjq5rl6ccQXOSVvz8P 8sXZJm/JWilVI7tC3YFrbcQPtt2XDPne5WXd81Wi5UjJ5GYB8CPd4aG3Ah6l F3PaVussqlGUwoUxOPcPPEwrATxLLPtpj6wXqUPbL0fRppHrPGpvrjuRed6y plD/hsQQajcRcRD36kKOy3yusI+ixEqfwj7qqFmVSPYRtozBfrpE/xz4/f0D 2TdosPXP5mOcFJx4rFxunOiZ1ueHQ4yInpFvjAqXekvBOxkY4oE3+8N3W2l9 sk/3C/ce9Yf6tU5zf9CfKnp/Q0F/8vFpD2fc6scdFL1C4LmejJv9FUf2KZe3 i8Ox+n7MFDzVAXVt6u4J7ziJfew8rJ+fDbwZRc6/eYk+111q92Mh+jz+FU0W XLfZcp7mGtEzGsKaur+JnnkX3voPxtNlr2UN9WxKq+zqoK99uc51VYjv6U2o 2oG+qo91kAZ9tUV4HQvRV/jxsTA3NWI3BZnCy9iI3cxfc2Pcj9y/+WlqPeil UIFfS6CXmpb4f9qR+dE1lFoLdn+Uk1nqIrH7xvcM9KFeT3J/PyPYcbqlH8Hb iB2XKjsTRvAA1lr1y1GZ4JaZJVG9NIJbaiM6Bo9NDOE9GfZOgNNyAp4NA06T eytWRHAark8aPWhC7HXv+GR0PLHX/+Iif67UFcZeWYQ6xHTWi3JWBHddlS69 uqd6CGdOvxGE+sqMeONUwAP4sFA81FcyDfbNAk/95hH74k3EHvGNrjoOdeK6 gjS01gSnNQ5ffw44rdvxES/BaXid11U14LcvX/z8yY3gjZiMuJOF5Peq+zaL /yLyUyrBnEInTvR70L5XO8IpeG+KpeJ9so/+nU5PO0f2keHcuq3Q9/mq6HMB JbKPQjf1NpSQfZT44l6kB1kX7al57Y0EbwRue61tRfDGzrsfmrf7dWEWepdz 7WRfH2Ir1/Ej+3pbiUX9N9FezGLgWONL8MPQgdAGE4IfHI3l0+dfd2GNj8Jy IUQ/FGToiSgQ/SC1SrOZzasLmwkW5fURPfDhqo16I9ED0mbqBdkS3ThBMbsk j+gBVZfzQq1ED1gMdD0UJut4Wvi03SKxC/a1S1oGxC5IJqr2HiRy7jV8K7ie 4BO5HvU5Y4JPfIV5fyd6d+FqFs4PUP+ZK5Iu3DfUhLassfaEOlA9s7QUgqtw ej6t1w2CD3fc23MKzk0Or3a7Cuf1fUqVvnBen28Q9gPWN6+6ZEc2wb02Uf9y 5QnuPZugNQXyMFCthIFf/arEGSlEcGPHP86/uWQdB1ocXu8lOFYjNfbJLoJj w2k8PkPe4JixZwfg3tyXm1h9CO69I3rmIMjJJgZZI6inrS5keQ/niTGZf6RX +BC85nO28gxiGvkyo6/znahgPulcMZnP7EinDjjvztUumobz7jdJ98P+f+rQ EbUe0PAWo24zwRXpx7NvfiW4opH1z6EpqTZ8eE73ahTBJ547NLqzCD4ZwZ9/ HyHr27u4XqaL4I3nxazOcL5vHLBVBPqknwmKfQPn8voNnkufbnUjDe/Jw1C/ 6WSjdHmlfjjSs0A1pRmVFG/pgDpicUUm7jiCl5ztEu/mE7xUm/ZB7ytZl43x sQuA2z/1zCQBbs8eqHWD+GqyTVU6+BGvGp7rgR+x2yrlONSr/hnZ8QXwv8SZ Z3aA/4184hTg95aNbueI/4Bfhz2Lfkb8FN9ntpthHZfvdNuxEb+MYf+FkGji l/lefg7n1LjzSgY39KWI/LBz5OzfRtSo0fQF6l4lEYcA8Djw2wr1xsQ0oicd G88An4NF1+PnUCe76W7vCDvxT7OtHDLg959qjWQgP8T756HVkB9ytZtPFu5f GL8cCjjEI+oVOz3BIXY7zu2APGfKvZxWwBtx3PtdAW8UHzNghvqyriFOX7C/ TLPWF8D+3leM4Yffbw+TmgF7Pbx0vALsdU3oCDPUSf1zNLGHeEi6yCd/iIcM 3FpwhDqp6azyexD/abrMmQXxn+Qth39D3dkNN88xiE8yFXqWQ3zSDbVDfBJ7 1+vUQhzJK3aiCuJIvDvWAZ85liySCoJ4UVnO+LcHP8tQUfJmWqjnopm9TAfx oqaoRS6IFzFwLDEQvxW/mvjSBHVPe2QifzbSlaNCvgoBqHv6P+JF2Los+ing itxAHR3AFc+tb8dAnaC+9+OVOsOv5t17AC9tjJ9eqTd8tO+bCeCZuWsNX/MJ nhGUKS+HOspcxmMCUH9YdTj3H8TZVhu+4II6xEvN63dDnI1WKzQH4mxiRWuu Qj3j7sH8FX7585HdHYKLUUjjpMUeqEP0uMciBXhMWuQqF+AxnVfGk1Bn9zxN aKVeTynsiDbgMW+vZAmo18us77eBuN+97qBP6rQEv/1mjIG6mGOGSZxQr2Je wb921UAUopXRGIa6ldCGgASIjwWeGVajnfyMbjj/eAN1PZeiqg9AvHfpypQ7 xHuPPnoFcXK8d/NSD9T5mOrtPwXx3g9GCPh7caaf2gTUvf6JXd4Gcezt8aJ/ YH03tLtZQx0f3u4+A/HMmqjX7LBeC6KrNkAcWyv/xV2IY9fsVM2F9f0/4pm4 geZJL8RL98p+OgPx0t4dxUIgh2pJLCt86V7jFe8grnvX/0sq1FeWVc09hLrK 3udjcRB3/Vvi2QbntvQ2Uc1Q/9byIforkQvkXDrJCfJQ7Zv1FPzBujP+n8Af lOL3igN9UlAnWXeT2CmZbka2iwTnvOm+9u02sQvn/FS2A+4tDN4uArj39vGN FKjjO6sd/QNwHX2iAx3gOg1jdTrgM/HRaXYAnKYpyb0AOC29d5dI1Fgd3l2o YhBL/GKpnL6Ng8Qv3uxYuAr0nmW2bgz4xZt/h3CCX+zkxjxB/GK8e5jHAPxi ji+3NIh+RSejv1exEr06K6MhCnWIP53QBOD8mqUNrVCHuHG6vR78C63eZCfw LzZnqA8Q/wLHm9F1g7/wax1HE/gLfm22kVDXyfGQ5xLUb37+ph0D/kUufakb 1G9+un3oKPg1j4MCTcGviVyzVwfqUtXNdvtCPvPZPx+ehvBVIcvo1CjgOfwa yK4BdT4bMv2CYx2qUKpZ83uo97mmJucEdTv5j20FIN9Yx+xrP5wv33dazwl1 R+svJDRCPuFdUdMmyIuQ2OC55Qbw/r21OWkx04CqXlpEaY/UYfrnDEcgbzZT TrcK8mb5RPUFoI4gan3yMtQb5OgqNauczkMiH1I1IQ+ELvZPL9Qt7LbbeAry b/dZcZtBPknTP7stkHc9fzpqriCpFp2yLb8O5+nNayWCBe4M4JyE7OsVqA6J GXul8sT3Ybf1jxnjJwbxH6UbVqrnq9FnzTfmocTuP9BYnzuqMojprOM/ivrW odLHu37nhFCwn/ZjGs2lIZxawdDsG1eNpPr+VTQSHNL17VMD9NnRN2BUuRdU j0boP1/7MEHwhvCn7rX3RrB30AR3ycEa1KRRYchL7F1wW3dgeNswPneBk1Ez ph5Z3JhTNiJyKGuvfz/41wjeVVZhkeNWjoqlBUu03nVhVhdjX6hzEL3AqPQy MxelbTLZDvUOr/XFxlb4Lme8wyBPSWZN9TPIezFePvQS8vUHlcP6Id/pF1vK NcgLkr4aGAz5+m4t9/MhT7hvU+lxyNu34OmSgnoAGgUtYcgTbuvWXKkD3dqn EwJ8WVv1RS0uOOUi0brBGcgjUn+gHg51AuHKk3uYYolcffOJgTyfyW1RWpAP xtxV1CZ3Jhe1rM+5D3lB42htGuQHfm9U14b8QD7F1/NQx9ERH/gC8gPFm6bE tLcVI2ubbamQl0JXLnkK6je4/MR5VM2L0dHDZ1wh72VM3y0Y6hlcVGhSlPfE oG9iJ2UhH+PI7hpGyJd+MLv5K+RLuz+MoIV8j25vISPI3z4XNesP+dst99mP Ae/Zi+4twZDHzv5jXGiV+nc0Zb4xEfKCvupSHkDee9kZwdiloe/orLybEuSr LGm0bIT6nINbd96F/vKVjPtSAC9J6+SEQh7vZ/EGmts7i5HyyFMVyJ/h2j7J wlrYi8esFbZr9Fagm3/PaUA+hljBzhbIk9+w7k8Wq2UF4lge5QV+e3o23zGo d6ov6tk/o1yJKLPtSZAf8uukhwHUU6W5iB1Usq5Fdt0bOKGualP09/Qo5yFs vrvEp4CvDMV9FJasd6HghBEmI+gb+uHeaxrod6+fbHsP8ij+j/xqvPhi+zrI 9976loER8r0N6bsOfeAbwvzfznPV3BrCSdv8+dy3lqHzDU07zxJ8brtFOQ7q uOjHHz0Ym6hBe5tF9gP+4T1F8YB872P87O3Qv/7tsYgMyA/Z1bx0EeoYg27+ zYb88Gq7AmbIJ+HkdTeA+rFTgbMXGRrrUWVcsgrUkT2X4LGZC23Hcuev80uL 1CPvmO6/UN8XM3N7D9RVjv3M2eApXo9+ODgHQX0lyioOgjzeOOuJIcjjPa2h JgF1gt57Ji9B3mxo7dELkDc7k19SDvV0LMoRc5BvqdDP2wL5ls5dHqZQTyce 0S1/WWIItxj9Kej3aEMFoUwR/zy78Lefutmys4NYM2bBMOJGG9JMi++5Q/yF 6MXhxS/sQ5jOJNjh0Egbujtf9qKb/H6OQyIV8mzjA3U+Q57tzzwG2poro3hT etEfyLPNPxTsbdlQjQ6wjlZDXV7JSfWPkG/Mp5J+F/KNHeZ+ePwj+6Lpx6Hr UD+zIyzQp0SiAqUInXaCOproV2JlwA+Wxk/jKONXi07sq+iDuj8tuRtcUHd9 myE1FvKNBxQjvKH+mu5TZHV+QB+e03zIe02jA7E7bmx1J+uYv+kLw93Yfqz5 M8GwfLEDvQvleNFP9FjAy8T5mQP9+Mi6V26cnm3IYCb2AS/x4+ZbPZVP9/Vh eQ+lWcf0FrRxDc36O8SPC+Qx2wp5tq6z8/Mdih3IgpPmxzui5wU/ujhCHynW xIcuQ1tbkXiiQOxBolfpdugdgXrLnomDWy5U/0BPPlUZAq5OUqK1OrHYhbOe zvj9sK5B93JHzupcGMFPuM0+QL1lBM9j5fjvFchObR/rCj/PBoli4Iv7GCLj AHmV59RCBoEvroBlOyPUVe5LkDYROF2DOulZLkB95bKxqAfU63be0eDeGV6P vvyIaYa6reBanAb8aZ4f95pBnipNgDMD8Ked/3g7CepITxj3ZMUU/kAZLz+z aHeO4EQ0/w7q3gce01hD3rL38uORiZfjuL3tbirUec5JV1IeH/uBXssG7IV6 z0tF88rA6/gm5vBmi85ytNMpfQnqm5zW+BlBHdT9QcwxVlWONjpxbVB/O4a3 39DShXxy3aeUesgnZ2/MM4e6ewGB1shVVt3Yi1+qkdm5CUW1R0fEE79yvkjO DuI/L1z+xEH8Z8BvoBrq/Se2bhqCevubLY2LjBbV6MdMNhvkedr03fgM5+BX 9DPj4Byck4kJA07g9mfnhHOiZ+vmFeCcqF1sWQDwNt5vswB9uDrpmnZ/fNOA rK/8yQY8pnCpQxr4IARY21TcZBuQE/etu4ArzuSspYVz/IG7+y7COX6hi2c/ 4NtTUa5/4BzfZMPYVTjHt1azDwI8865Spwt4CjQDpK9CXPH42WqOeTJ+lqDK ZjivvHqJVRLOKztSrfVgHkIThWshDvap1eACxMGy5XDPtbZx3MsfUAo8A+55 NJhZpA49prm5C94XyRtyAS+BuXiVM9kfiEfb+RPsi8CY8/KQX6EoOlwM+RWi JzbtBbz92eKDCeQPsEYoTkH+gGzbVDvgK6e1NKyQJ7B/YNUmyBOIZZIwAbx0 P6kMQ16H3bLPNOR1vGXiWmgnftOL9zLbIB+jb+cREcjH0Ol7+AT8poz55OiV /mKDmS9nTcqQJdf3PvAvrjButYf8Cpm96hrEz0DC5Zxwjo8TZnJ+AZ/Jb7Pw lt2LhahM56AY+BEbrBeOAP9J0xHJQci7mFjgjQK/RolR9QnkV9CeRWcgv2L1 XyN98GvM7cwXIO+l2gXlQN6L6Q/Fy+CnsA6KSwJvvwhu5/+5tgWdfCuGQA6b 4kN44Zza/yjLn0fH2pGr7SYOkOdPjK8WoF5POyHl4VPHFvQlM6YC5LkoUv4A 1P2lfHzGempzC+L2a521IHrJqOSWOtQj6z87c22XXAsyKfs0DHpv40NtGzjf lMqNzIHzzfOd3Kmg9zZXrbsI59oqEoct4Vy74mKCLOjPXmMjn8TvFfj1/gtO f1K6UOG6Xm/QAzaRNl5F1jVYdT3F5sxiF1renndJm+iN7zfL86DOuiHWWvqC WSfSGYzPBD3gZ8Opv8Ij2f5JYHykC7lr3HSC++Dlk/1QP37E/2ceb3QXuv7u 6hTUj39+oG4N5+8Ljz9jOH/3D6Z4Q/040Ul5cJ476VBgB+e5NtddDwJPo963 k8lw7uw7vPkSnDvnHVTTAfvSwHCRBeq7zyu2nA92bUFBnJge7NGPzdZ6wBsQ e40WO7W2I8HI1+fArllyuvHKitRjx1MhzLOh7Wit2aVPYAf1K2sy4DyaT1Hi 7GBVOzrFwDs3Qa7vW5V/DXgJsltpxoieQxJZinmg326t21HB4dyEP2ss8i9b dqMaBT0u0BsFQsq5wD8gSTlqd+VUD6pTeYyAf0Ak9a8r5AtpONf/0q6MQthf YB74FvLKq30hzyojWeIl5FntuPTcBvzHlzNlpsAjkXD2ZCvkTa2W4QsHf1NH Zo4deBXuqkbchvyrsQ2LFPBPXbQkV3geWLjD3SFvil7yL+Sx4L3uQuGQpyGa 1fYY8jRuHuLaCrwQATuep0Beh1NVLgXyOn5N0qzwV/wvHglE5ZGw4GC/knyk B/9p2TkWWOwv616UbnVsbgTdZLCbf02+M0U8YvxwpActp7Yoys6N4FFblLtT fwCV5G3pMO0aQH7SbDbfXt6X9Wd8siyS1Iv2ilZKP4/pQ6Z7bzIyenX99zvq /1F/Hz599uhe8rvIY2KnvMn/eXfPvhQkvz+/xTAExnNXIFkGnr+NYnGCjAcX D/5diiHjkH156LglKs6xmSovViDX8/qPTziIjstqHmF97EX+j9PI+pI6uT4y 5NJGnodZeg3zyfPxFrov/7LIc1f/2Ml7KakXT2ali7+M6cP3z5m+CvbsImh7 JA6epx4tUZhEnrP4nM+GvC/yRal9eeR3C9VvIw6R/+t6y1hsQn7/6NO7vLPk O+VRzZQn+XtNa05UMcEzj5b9IjPJ9+NeOxX2kb9bFpxpfUmuU8dBHRd1PJL5 bW/5yfv3aMfPu5D5WFo9xy5J/JpW51UL/OR7V4HQ4BPy9zjfV+9VyfVU4xgG Mj+orfi7bSJjZs6a/PpIWC+luZQPL5l+y/769kcI5u8pe5IPXOeJV+wwJePQ FnzRrE3udz9JtmKOjOendGp7PhknZ1eDJhe5/zFnpntR5HrPaMAyjK95bGME rJtoaerulfVKN/0L4w+z2vcW1lH8NrsSXBfoH5WxIffPWv1gmzG5v7pLdU45 mZ9zx3q4f5D7s5mqfRUk9690yzOwJ9eVCi+8W781B5f7DFz9sa4TRTjNP6Rb PYajmkZTNLYWokmP6k7kOIQKbROa9i9SEPNctscoVwcaWP6C/eJqUKj53Glu jlFsI1yYFBhXgw+6/R4dIX8vO/0lhotcv7JHw3OHZCfevGtRUKgkAcvLSCEj 4THi5xnoenn0YzXebPlh7XrMp557RE27H5Xy3KoTr3dDedsuXxzJ70ZXtdjc 4uVH8T4G1bXfh3oQ9fN+gIRSsw8FPdoeQlu1rhP7vJRYt7AlBz20ZOcm40eP xydPK/B8RyEL498WaobRnuINy2f+9WApy+fGfwzK0P4g6wM7HUbRvcqjoUtr O3F8X/MHTjLOocIvr/eXJCDDW/lWZJz48KSWs/zlHpSV4N95scAQXcddG5/0 j2CKyZ8pndEOLDoasUtXtAC949U4vtw9inPODzXaWUTg2qANfVdkOvGZcNNs hn1jOLjSZWJB8B2yjGs8kug9hMxlstqwUx922UBTsXG2F7/qeu3p7DaAnTlf ixltaEHKf4/cLEM9+Cf7E58T3/owr6QVv8jhHqRoekQzTX4IsWhvxuqZDch9 sSKwrLYHPZC0UoV1/Cgh6lBB5uOQfcFBWEdGuZoB3/5kHOfeKKbpSfxA1avn I6368L9KoXQG21HEqFKlGp7Wgm5wXKWPcalH+Tvrv9ttLcS8xVN79jsO4dL7 aQcUFik4JYf2yCGdftSbvd4v60ETSldlD2vK7EMs72oPKRqU4Ru3d0ryOYzi nqumVUIMnbgy+3kguT9ubdFnj0hrwfoDTz5Fu9Tjib3rzYblhzD32+fbPImf nRJHYydY24PF5V/EwPwyVGarwXyfYngnRuYZUd+fOh/UeXjn8t60ZqgHS4aW 3YVPqZbQQ0U+FFzKNPNlgqsDM4m4yYJ8bpbNegJySJlV7of1Et5+0vqaaAH2 SPSxJOuFTJuXwx+Sefe6/KJkPVkHyfsc5hZk/rdfvaIjj3v++1Q95bN6sYWC N2/6d2FnvRtWF8lekU+puS8r8rlBqLPU06MfPQlrejCrXY98aEsGLmj34xzj 74fheRGtT3n1RjtQlKQpFzz3Unh6vYROP17YKOWfQ+ZT4bedYiuZz2eXha8w k/nM7D/nzELkkzdZ5rs9Qycy3u+StYvsn758cW5uyU7UZ3uhzpDso4i+Upo5 wXeY7p7p2g9ErvSSgjOynfqQXLDoGG9SPq4sCvXb+GAIHTu3ObiWpQ/lnNpo 6EXmXeA2s8YQkaNf4tOuu8j835pUDf36oAk/6mgylyXr7NIjYFed2YfpDRNf kff/71MxsiFkoYWCWJaCluQu9+B3t4t3qpN1iyoSNoJ9IZlDF5rkPYQ3LF29 8YfI+9O2poM5RM6p+426/6j7Lrhy23h/UR2iftZZvTn7oWTsv31C3TfU/VLw spVNqHYYVZlXH5Pm+44yP2UvUv724DCHF+dAj3w4aq1B9ApiHh8/BvqkxGvf M3Yil1Uxy+xbDcuQy9sweS4in09EzJjYHgxh/TLpuN1J+aif1fppDUsfVg/e 8shMugU/X88baEP2R45/vJQlZwPa9GXTla5jbfgVm60U3Y4h9CpSJCSKsRv1 rY4+XD9PwX9Wi2lcTB7E2xSEBD6tqcb/KLyYRaUH/1v9z7O2qg8351gtbNzQ g7u0Hwb17OxBTbx1QfKc/ejtel7V/O5uVB1v/FpvxxD+7lzb6HysDS0JP/t+ nLEbv6VlPVs7T0E9tu+b1ZMHkXB8Vje5P9qj9ruOyBsemZ28C/K2U9apE+RN Oq3c5hi5T3TQ23EvMt4Nm2icbMk4jx6o817KN8RJ/R0r+4uxtn5lf/U4PdVu TB/FU5csNJzXtOLotqvhh8JqUfzxDxpWZP+WbJAQsZVuQXdu/v1szdmA78lV r7ynfs1eaXhvVu1srpX3/Z/3pL439X3PptbHPSb3fVJTGd9AnqN/44Qw3J9l OtkkneiBtw/n7S4SPbb/rL5XKdFj/4cdQfmrmFb7NjXjVM8rB5lixlCIrcbZ A3/Lcbe9ZCvMi6WlgzLME0XUrgvmhzq/1PmmzvN2PnYdYbJ+8j1lCnVknn9n fabcJvMc+Prez3UxBO8L9+zya2pGSb+CX5D7I81Tp0eG87vx6VUxCWCXak98 +E72O/KXe9BWnz6KoqR+6rmsaUU011v2Hg6rxVca4hRBDkOMPW6AfVPa9U4S 5DA30GEC1uMFh48lrM/C8JNHsC786Vsl+91q/vu8mL5fXOfhOK6//jUyyCIC VZzgCL4m04lk6XLer903hlTDeUtA72+OmrsGduDj9Q9+oP+/TW+vhv0oOLim BtZ5ppHrCaxvjWrhM9DXSolcUqC/d/hfjAK9rb2+XwX0flPK3jSwAx5ZGcyg /9nbFqrgPusZCkZAH4uvH3sM99m6O9RuluiZBzqvTZPJ/k6UydjwjegZ0YsG vKBvB5h598G6bdP52bmDrFfX0eHa3X09OL3ugJ83Ry8K9A1OmTSiYKodpdpV qj213h5lAnYLORpdBjuW0KAvDfaLqq+p+puqt/9K+YrC8z76i+6A56sIOXXD c780sLGdcm/AbRThUjHJNCQdcCbObc0E3vV0z2eQ175MG3oiv6jfwjw6hchJ lvMJiYseDfiiSNem9k3pyOMyv1zD6glMlQ+qvFDlhLre1PWnrvvWwh5H2Idp d8q/gx3oCL48DPtR3jZWaaCo7r/PrsO79xL99t86UdeNul4bnMNnATcUff1X BzhipCgtE/BDaqeWHuCb4yc4l8k8oWoh5huAc/KueP+G90wZZ3yv6N6A6Ps9 huB9Pz52Y4L3WUv/z4a8H+oK/XEQ3uv/mDfMs22p+CCx95Vn7fW8Ce5LcTOU kyF4L300wAfu62r6oB2ec+qX7zi5P5Jvsh997VCI/PkjuxW4GlDqke+b7hWN //ed+nfqdeo4qOOijoc6bup7UMdPfR71+dTntq2rK4Nxn3yYrwT2vWabuxPo h+i9/BM6BIe1n5PYC3Z28b3E1BLBYy/yzOh3E3t6JG6olZbYgbLY32ZBxJ72 rz1lTOQfi0RWtAJO6bHQEwJ8UuVpwg64ZOl9/S3AKdIhsncAn9g/MPoOz0uS NHwF+HeWTVWR4F6UtXF6PJn3O366/qsFsUv4Z9EL54m/PSjOrzn9KUcvfmKm NXO4rwf9GPywcdiIguLweblLRH/aHxXtrSH66kJvpRfoqxvjksEascRPMSnv XDbtQZ+xsMSPXT3IKmWzxMK9Ufzldnk/2E32Z5ydPmT8FtuHarUInuvRucB2 tT8ZbdHscwyz6kOKnPxzZxl6cOyGuibl4/1oo3aSiUZpN87e4/g2m9j3NGsv BhmCO7gNXbnqiH1/E6Q6xk5wz88/Bzjuug2gl5Ebw+9saMG5Yl5Na4i9Prz3 i2QHea7o38fSFuS5MrMhwfD+q9RnS2E+2JQLj8M8OH1UySfjQQk02w/AeGir wl7AeNRuvH7duikdd+i7tMP69wvy7SLrjrwSFqbFJdOwwjlZN1jf4dBLFFjf 92leHoeJv2HEt53Onchh1LaZESkih4n7Aovg91ESp36eJPv753n2d/D7/j2/ RoJjavGt0U9CDevrUe7QvSL2sTHUHOXvPEfWhT1L/sQIwf9amjOP5Aj+p98S QudH8LARJ+ImeBjdKNp0HfDwGWUJd2EiJ4/lL7aIkPdm5Onbs5bgBOrzqM+n Pvcr089weK/3rWUhoD/+dNodgPf6vOnrCi56bruWcZnsb5Pnmiu4iPo76v9R f+/iLDNNS+TmlMUuzWtkvPE0zQeF//UgqrxS5Zcqt9T1o64ndR2pepmqp6n6 OTCroRD0TAe904q+FfDYyAbjyXzLsF6CvA/fhU8RMP/Pn5/rhH33f8g5puJy Kk6n4vP8rR85Yb8tvD85Bfsvc65gFvZdcPlq/MahEBfY8ATKE30wasaxj+gB 3FD7K5ZltheduZDG7EjkbSKZT86RyFulzC5tY/EeJFcwQa8n1o9qtnYMNWR2 Y0/3zl+g7xxSd1wB/dfE/cEQ9B51fqnzTZ1ny/AHlx+Q+47vDfxA8DzK8zGY v0vuH35965vHBOeL+qwWWkeuh85knLMh16nPoz6f+lyq3FP3AVX+uXTijx3n asAav355w/uVHlIfsCfvVSGVtQ7sjvjO6C6QE1o51rcwn4cl7acq57vxJVe+ /F/7+lHqtCHDhanu//YJdd9Q9wsfq7Qw+BdDVz+u4I4PXZdKAG9QcQAVF1Dx AHUc1HFRx0MdB3Vc1PEoXHJhBf15Nq1PAOzA5GP+ftD/VP+Q6i9S/cTbtW/n QP5P/96eDPqYJepiEsi/wc69bifI8yr/3fwCen52maacPBep2X9S4CL+ycaU 42LgR5vFt60BP5rqH1L9RaqfWL9jXb4EsTtO0srBl4nf6Ym5exDxN/WEPlf1 utX892nNbzVEcBHiPrXHPPFrH667t4CVHHpQ6LoU4ay/3fhXOtpcv74exz35 c+xNTC3K+NE4SPQAjutzs6Wj75P1azXQvOrTiBmaf3lqTY8jtu2bLg/1U2Sl u/aNv+6swxnXHxlKmE2gNT0baiI4+2R/jAd5Gz1sxsmVHLcGno+jY2nJV8h3 ZH6/Ry51f1/OgwBWO3Idc1xgsiH3RZNLnX13Nvfl2OQ4u5L746/ySz22F/tk 99xX/VN4vgWzD2u4XjAYR9gi/m7R+RYk9c9lVxW5T8MDHTNyHbPm39bkvFiC 8kISis/ZUnK+JRgWZtycRAmtu0vDdQtQy47DGuHalBx2sa0WYRGTyMmuUeKS NUX25LHNw2+0KvA9dt4jzwUn0X4NoxZeL4osnX5O5PaLJVj89ukKuM9zmv73 iYYU2YAbae/J/XCiibIl3OdAwDlLmJ+fsRGXYH7embV4wfhte6xOwPww8b1s g/kZc9Y3IfODV4sIerxmjcL1dtbGz3wbUcHZox0Mo+MoboOHMX2Pluw+/4lZ mI89lR/NYZ53O8qv6dwfhTdnbzKZ1m5GdPEvKnlejKMtVZG8R9nP5lho3lsy IfP6D7eO9JN5LkbLP2D+nx6PdIP5P3SO1xzmWfmV0DTMp6ma7Xoyf5jeac1j mDfa6w4/gqRzsMnRWjGJhEYUwyD5JSR5HCl7cgsLcnzGHXyv5EXeNCK3gvc5 o/Xj6ItL4OM1yjn47b7ZvwPnm1CQfLVyIHlujXHWnzf7P2PpUF18Za4JSb7y 3G1Kxslly+gyr/wZKz/e6pSu3YJO7nGaWqU4jpZm4gTpFKJw4vftSW5qLQgz Sa5+qjWOWusUxr7cyMdv829UO2c0IlHWA8FvyP2PC/on0U1lY6ETw4Jrfteh KlWJsyKiE0gsjubz1pFUHCPhc5t9pA7xrPmnIH5hAs3fbEtx6HmHmRsNeu71 1KHyxOn1MgYTyHyVzGyL7l3ZmPF9m4I665DGuYu6ILfDFlwvltPPyG7yz3IA +dqi4nIT5G1XG6X44IFqvKf249+q7y3Iurhhd43gGLqKX28J21aLdYq4k++0 taCr1UWUB42jiPbVk62V62rxXIKAN4tzM9JcHvh8SGgMxcXFKzCl1uGDsj6v FSWakOj64eIbu8ZQlpi3qNxiDU5kPZd2l7sJ9UrdFWqyHUMXHB++udpQg2cl Prh46NejZCkuRau/Y4i3WijIVacSW7kUxaxB9Widl7oOjFNm86LNychK3D9i yZT2pxGZX3+fqdw5hqL+0LpsMSzFqhG8HX9aG1GKUrm6tOQ4CnlK4SkdrMQP PAo5hPNakMK5pRqK/Bgq9zL42RteindGygT0hrcg28OBO3aEEpxsFpE8KVmI pYMCopO+NaJOAfua5/fH0ULmnh+qx0oxw+ml9ourGtDaCQ+LEbJeiyYPgxYP EPvVaL9d82ojGn+SNdXjM45+u26NNMkrx1fDrjkxHqhHm3zob/wkvxfoOm9y 5mEq9o6Q26erV4LYnTRwneokUpO7aXjJntjjvNV5ppdLkP2pn2kuBpOo9vRb 65HQVHy3mW9Vz60KVLWwzNfCNIlWy2hbFge8w45Huvnj9SrQpM+e9bt5JtHm NnMX+evvsGwLn6L89QI0quYW9/LNJBordkLhHCo57+9I3wc9EdTLbg37OueS ri1boa4sHV2JAuiVgT8vikAPLCUysbqoZ2O3aXW37dYliMaKi+ac+CSaFrx3 5MajbCxNy3zA4FEFOuFeVac4OoEYN8qG8N9Mxe47jzjy3yxAX1fFUjQ8JhFL vvFGNvd6rGu3qEo+UXDe+ssGT8dQ2N2RKo2weryBJvKQzPVGFKCTbm5A5OS0 8saa27H1WHPrLZ8bR5tQAG/qdd/5URTC0KVyJbMeF5RtFTQfaEF+q76fp9UZ Rb9MzT8fk9fNkRLfvSlEqwKlWSYcAv22hyWhLW6uEm8KvTgQN9eJ6O/7cxYN j6BLMq41ZX2l+ES+4qA3WxeSarE9c+UQ8UMFuHuyxytxdcar1xnCXejJtUoj lfYR5M8zO5afXYpDnjPda9rejXJ4dg159Y2gc/nrwtgyCom94cl9Q+6jI+Z/ bcRpFKWGt03VvinE/3ZVLOoHdqPdwkcKg7tGEOPTWF8+4WIcLaT2b41WO1q6 4FQWTvZXqu/e8sW6UvxTjtVCzLQdTbieklv3cxSJWS74XYosxFl8m34mJbej Q2yVyb92jiGnYx+VP4YUYrdqK2+bK+1oWS3jlpv0GHo9+d3MwDUHKw7Nc/+1 bEGVNCVCxlzjSPUdb+8gYyFO6SwNGmSsRx0OMcrxf8aRF7IK9jQtxBdSWCrG n7SgO497A64NjKH7B/TaLEVL8f7hWbZn/ERuX77z4s4YR/W0HaX2rFX4pFif e4t9O7o+MZYo92oU+Rg2jTz8VYm3MdDdaTjeiiS8zvjCOIdeZU5nF5dil4s6 Mtkv2tBe3xy/CrK+ae9324Ccyd0MbwH7hZdRAZE3HNBkdpXYJzRc4350bRyF ALhoBbKO+GdnJwvYr0dv5VLAfk3z3jwG11t1bMbAfq1Rsv0K9kuxmP8H3GfE SSsT7NdNLeFMsF9zVd/ADuJo7dIbfUEVSOB2k8p4VgFyLvhbLJ09gWr4/N4r G9YgyRn1wns9BYi+jokV9KfhqmaesdwKlPWmOcayvAR9pQ25u+Q8gVrPxaXm 3KtB1S6nLm2YK0GFlttV6QQn0E9TVTey31FcsOoD2O8lKRYGsN+pv6P+H/X3 2VxHxaUFKlGe0Sl3voAaNHye+zvYHQZaWjYr0VIU/VliI8x/hDKTB8y/T++T P26nK9EloZQJd4U6dO0th9osuT/1O/Xv1Ot3/32MAr0ZTmNXQfQoMrK7cA30 J3V81PFSx/ltqZ8BnifXEbEWns8huGpl3anjo46XOs7/sWvof9u1j39oirr2 RyGechljsON5CZ4VYMcFPVyiisYq/vvskn797YzEBKLK5f/I6X/yGT2RVM9U U4Y6FAK6QhIL0HDA2PvQgQlUvTXbp8K9BEl68v5+F16ADjwuUtelm0Q3FydT awJLEEOtmN8Vw2LUMPr+nC/5vcNkdXHiu5L/Pqvbn1a+KZv4b12p60xdX/ML zRXw/yyqnSlwv7MmG87AfajPoz6f+lzq+KjjpY6TKk9U+aLKFfU9//d+bHvz dhDW6d63mHewbv7jPzRgvajySpVfqtwOXlTi/3ojH71hmq0E/MDcfvE14AfZ eIZVBD8gB8anQoAfRo6Enwf84Kr37CXBP8iQ4eY+wD+zNYsr+CeRv7Bl4UAh 4lai8ID98nzYPw/2ayrFI5FeOQftbRmcB/wToMx/HPDPYxafMPaRVPRlC48t 4JA7itVygEOO80ULC3F8RtzraWUBR7GIT38BOVGo+RL4dv9ntOqC4VfAS1cj jfgBL/2PvUb/216fvSqVQ+w7KjhPwwD2PSNJ8zPY9yMmQljtWClqNqysB/uL nOlvgP19GnzdlthxpMB/Oxjs+Hljs51gxxs/KRQTu4+eq+zbAHa/yNu3BOz+ /9h39L/texLWeOplWoiK75oXgT6sOSD7DPQh+/7PJcGsUWhHsI0R4FgXy5E2 wLH/g7vQ/8ZdWhxW5wkORK1LT1dwIF/00goOlA5k1rvhmoPMPuzfCfq5qeuu COjn+SfIVeH6O1TnUHAC7PVL6/FYsNfPUzIG1O3fITP7oyt4wIz2aDrgAenw dVei/7QhOs6K1X1v6pF7+I8HLsS+aJ2omVg/1oLuh4fWnhdvQpWsyeJgv07s tuADexkl/lSN2E/0naJ+gdhNbDn3izmrrAVR6NM570g1Idp99zssKCP4/p9Q d+7iFqQi/+WvuVYT4rkuJQn36TY/G3n2YSpaEv0tCrhl7V/jb4BbrOZlr5UG vEPrDGV2Ag6xzr7FBDgkvLtVguAWVDWRtIJbvpX47gTc8j84Af1vnCDCSn/C bX82mqLlsE++U4AGTI1W/Jr5l8x/XdWz0a4rzY8Ah4jH7Vg8S3CIix6dAuAG JiOnfIIj0LeDnBYEP2Cdh9efAm4wYVPecCe2HjHTcmkQ/IBpQlpZ4HvFRbrn 8PdPuiJX4PpSNYPvBJFv6qf4Ju9fXeaj+BJjYhvcN27w7G54ztVnJiv3T9vd qgTz+E/R6e8tMq/Rj801YD41Qvu3wTxO3eMa/Urm1ffLUj/M53slcyfADaXt w48IjkDaOeOjgB+WmNneAM4IcLrxheAO5MA0bQLzLMY93Aq4pE5omy/BKehR Y5UawSfY3kMyA3BM+sWHYwTXoPdao0IEz+DN7JfPAK6ifoa9qz1L8BVmKtjz l0LkI6Ps4hmQl+O2Xo9BThSvKxSAfBisereJhchL02euvfBc6npT15+67tT1 pq4/dd058wP+dZN1XZWqnwzr3C16cwWXUteJum7U9XI9tlMU8OLmRLNYg0fZ iPPh+0rAjeI/s0vuu1Sg9WwC/HKcGH3+UPEJ9038Jx9UeaHKicSWv3dBPlhs LfNAXjpkw/JBTjxyRT9ccC/473P7j5GXc7KT/92X+hzq/anjoI6LOh7qfvtv //3PvqPKN1XeqXK+2micFfbtb1OXFwR3ox5/z3jYv4dD81zBLyp2sj9B/CS0 akP6B/CPqHqNqueo+o2qp6h6i6qvtJrOfgV/6dAtj0a0WIMytjMeBL+pOfIR TTXx00rym98Rvw1ZKq0SA38t4VrqaZDXqeQXpSC/gbFKZoCrJZ3pfcC/iv2X f4L4W4j5zJIK+Fn/h/ygxY7aj+C/1bM8P0/8ObRftx6DH9dJm50EfuB5ri+8 xC9EjL+VesEfNEqdkQSc5xNkdzOnuBTV3Dv0DPCerbKQJeDabb44leBcZDCg KQ/4FunvW0NHcHDojdsBBBej72WbSgEPU/UvVR9T9fAX0aM+gHf/rU7YRvAv OlH20AJwL1XvU+0AVf8nSDs/hH2er9/ADPs+jf65JvgRwbvlD4A+/PJPVBf2 8fiaA6fBj6DaA6p9oNoFqn2i2iuqnaLaS6r9pNpNqn2i2iuqner7VfsG9Av1 0+zB7wmiZ9DjgUI60MMbOmW3gP7ouRXUTfQG2lesxQvfWzzPToM++Xy/sxeu H51XGoB1vdxdcxDW+e0X0Zuwvl+PTK2F9zQulnWD96Y3Zl15X/65S4bwnpH0 HDvhvc9UhJyB9012eDQOfoXOHbo64megBhnXJMDtmw5P54E/oydYY038G2Rg uV8b/JrrnWunQS89s9GOAr3UJbFxxW/6yVRiC7hf0/IyzaNflejT/NxzuM++ dg9v8BN4Tj1tJn4D2sM8Ew/+grVuQC/osYXd3ezviR7TSFHjAL8syKn3L/hL sk5T+sR/Qs8TDv+/Ot47Lufv/x9HWaGMloaUzBCFUlynoqwGIg2UVDSkaKqM REYkldJCKaOyGrSu05aSpnZp770oyu88rvfruH1vfh+vf66b6/W8ns9zHudx v5/7/XEezz6Bb6L5TfOd5jnNP5qPNA8p3ij+KO5o/tF8pHnI3jp/FMZ3U0Lv Ooy3gt+BNU7ue/ciYJ6fvzl0wLybF51Qg/nScdN50PFTXFGcUXx9S2FWAm7D iy2YgOOs0jdSgN+ogVE1wNVSvNoPcHb1kmwW4CtT3doR8HBj864pgI96d6s8 wIW7v5cc4Mp2aIks4Gzt1TOegC+KB4oPigu6HnR96LrQdaXrTNdXmHF1rhbJ g/lCXl2QF82rDSPheqrbqI6j+o3qQqoTqT6kuofqIKp/qO6hOojqH54Furmg X0N77oiAnjV10HsIOlZYInwT+Ic7Imzx9cRPrIg+WA4+YkjSex/oMA/Hxymg y/BWtgbQY0sNgreD7kwL8zsBOtR8ugVLf5b2iCqD3r2QFRAC+pfpEB0Hupfq V6pnqY41vimzCXTzus8pMqCjy7Re7AP9/HEkxB32719P3jvBfv7SIqgb9nG6 f9P9nO7jl/SfHYU68HLDsZ1QBx7nnWUH9WHql6h/or6J5j3FAc3/x4X3Wfpy xuZOOdCbeqOynKAz3yzmvwb10wiL0hGoJ/842+EKddTN2qmZ/nUkr2qMdNtb mpgcuYIWUPfbKIeY4GuqnVMeg69JNX6kSnwNrpTNKQdfRD+jLIo/E3+EK74b nALfERXmdw18h4EJZybxHbh0J24C3xSd230afNMuSa6zxDfhDzf5xYOJD2qy my81l/ig1z9EQ4kPwtIrC0LheYPJvq7wfOUOWQ14rlulXRX4Kf6xVRbgp9aL eB8hfgrT+9Ln0PtnTEyJBN9IP1+/zk0i/hFr6fVj8FkzhRLDwWeNBWWDz8JW Zy6LgO9maLHdBd99K+mIDvHdmI6PjpeOk46DjouOh86fxoPGQXGatT1Lv/bb +IE+md3TAPoE+0ipCYJe2hgu4QN66d3iUylEL2HBdXv0Qbds560PBt1ipM0J +hZX7tX1Br0k0cO5yJ3oJY91g2NEL2G3qV+ego6hn1u2RfgSPYNncz0LA33i Mjq3APTJxmcJ74k+wQZO/AzQJ0v1i8+APnGWSZ5N9AnmN1AVBP09z7o6DXRa sIyfCNFpOKO0KQ30UFxOlyDoo/FrmjFEF+GQb5JHQQ+NqjuWgz6q0+fOI7oI /1rNOAx1+9Dxp22QdxtvnrBi1f91d7YCDl/nxLoDLh8N3/tK8Ig3dDB4oG6/ YPqtQajbO6R0dLd49uCuQYFPUB+IcltrAfjm33n1M8E1bimyi4b8Xrl9Si3k O9MuGvIcKz+wvQ/49A+eYQJ4XX9s8Q6CU/wgzmwr4Fxds2E/4P5z98Z4gnd8 Ydd4I9RDjCf52qAeIjZL8vAIea5p8JUb4Ks/9kmGgc9ePtJsCOcC0jce3oJ6 iDGvtD/UQ/iUtE/0k+u92Jb/hvr5/PwJQaifv2I0HYNzjX/UPbC3os1e4Dud DbccgP8+NQkOEd7DPfU3PYE3Z+hGvwEe3SBju5zwJ77qvfczO+GX7erTpwPf 6ImJHSY8g3l5j9wFnvLan7YGeCug8Eci4Sv81GZZINTtxS99doO6fcdD3dMw fjpuOg86fvfURYuhXuN9LcAR6jdcPnW5EJ+MJB9RqO/c2/1cGOo93dOEri95 T+7zX7xo/Gjclr05kQHx2iNy8TbEb9t8NQN4brnLyiKoY9gkFN6AOsawjJT6 y7EeTHFIcUnxSK+jv6PXU3xSvFKc3hEvEIXxvVXPWgHjfe0reg3GSedD50fn RfFG8UdxR3FFcUbxJR9ySAXwUOhhJAT4cCphLgVc0LynOKD53/vObingtkzw pAHg2PTqV6iTY4pDikuKR4pDikuKR8oXlD8ob8zZ9vaXAvERl9EeF/ARF4Q0 I4mPwBSfFK8Upwrfn5hD3X5KXtU2qKcaG1exxvOPejj+R50BJw47y8C5gO4F P2s4Fzi12w7OBXDke79BHaJvOWVL34C+/XlpE1vj3R585SR/J+jby0opFaBv 7TgbjhF9i2l+03yned4qqTetjeiEqU+LPoBOMObkViQ6AVOcUNxQvPxDJ+BH mU1+oM/vLLUNA31+zvdJKdHnuPRZaQn4hfzL3zzBL6iK3b1J/ALmFBJPA10h JLqYH3TF0rdmgURXYC7/yArQ8ztXzb8Men61cd9houex3IdH88GX9Ta/+wS+ zLCy/i3xZfgf/gL7WsdKAn8Jr+h6C/okj1u3AnjsH/s7pvxF+YzymEaEE4u/ dsoeOwd8tjo1Mg7yWZBtN6t+d+6qljjokGfzBKCOh9WyV8oAL6xs/X4beOK1 zdMPwA+JarxOwL/xy2ragI9vCA2UAw/nhonvBL2YVpRkD/qRa86vG0Q3Ytsr WSdAFx7fJdxzmejEGxee+BK9h//hQ7HltDfGoJstfcUjWTpaWWkn0c/42O9Z rPOA+UEBJaCjl7LZwbkAdp3rcwH0aN0u/TmgT7kX8tkQXYrrLiT2w/mHZovC ddC5vt8SvhB9i9lsBVJAj2qHPbAEfYoi444TXYrXP3jQDno0vtepAHyKYlD/ KxjnRIjhSZafDTwvArrbQ1XmONHb+HdvVDjo7ImSi9mguw0d0uWI3sZW7BVR oLOvDK3bB7p7PHx7GtHbWCjyjiv4BN6ZBorgG/oWirwhfgEfDklhgq/43Pdo LfiM7B8mNcRfYHMn4244H92WPOILvmTCh2sz8SOY5hPNL5pXNJ9oftG8ovih eKI4ovlN853mOcUhxSXFI817igOa//+oi+JnnuXWEPcj6R6jsA4q93ew4k/X la4zXd+nhV93Qd7UNKmrQB5ZcEvdhvyh60rXma7vzJetU8FH3LMsrIF1k9j3 BM6t8D/qsbgq8Tg34NND9GYy4PWC2rkgwCnlC8oflDf+UUfF//BTmK4fXU+6 jnS96frTdaf5R/OR5qGWsqo3+MEgEd1i8IPX4kUOQ11Oz3VPBuQZc8jjCeTd fqbANsi3JJn1LB0zL+jaFtA1GqlDLD1D63e0nkfreNWe27sBP63WOi6Ap6wZ ztGAI10v80HA5wJxFRPA6yIBGR+IJ80/mo80DykeKD4oLrxXqyjCuXytgXEY iQ8+9bgrE/xmweJEcTiX9z+m9oOMH89Q5hUEf7pPbB4/nNvSz0ffdutDXch/ 6ncvOK/n6FNsJffHifmBm8HnOrkfLILzXNuy6LXyhmX4eO2Ts1CXmNdwRwD6 BB64SFqQOOPr7ZuSwI+vD2BUwDmvwMh2nZPbyvHBA+YWUK/osT59Ec73L1le KYodK8NyKywzoD7Gp7UtEPoBvDjUAogOwU49R0CHoG8blrfDOe+qEdcUEk98 38p8Bfjxeu2EEjjnjcqIryPrhbclZLD8u+cMk89wjrlKzPESiTP+fHTda/D7 oeb52XAOOxoZeYXkP+5svC0P9QEFhZAs6ItYsWv57MKPlfhS+qOVUH+onNjC DX0ReSbbE0heYY6U8AaoP0w+frca+g2IEepdmVaJAxWHq6COZ+f9tGfgWAVe 67/BE/pc/I5YtIGfZQob7zS9XIEvvXZcCHq5Hg9VQ3/LVjWBIA+vMryxUlEU +mhsy6vYZhOf+5vLNBj6b5YtCbIHPc4z5ehF8H0dHEdH1wSW4cVpERuhn4XP ofAz+F/NF+tOkX0HL8y2joP+kaL0dcrgc7linLNJfmLEnRQL/SPRykcWgq/M tv/oS/YvbP9QZDX0reQtlZsB/lRZXPg+9NOIuhy/DTp0XpWzMcS/OeqmHNn3 cXTVzzlBG2Jxgf3OnVAfGCirfQzn4ydc0XuCI9zK9ZtVZyjWud0K5+kfEr+5 ER+Nn7WfawAfPWxR0Ann5g4N8nMM/erxgcuzk8D/Rpkdh3MLLFPpLnimtRKH GKTth/pVcO3+dOg3SmQOTIJOPyZ0g+VzT4vfa4dz/J2D1peJH8fnnyufAT8u ZdMbDv0YgWvmGxGdjDvcl5yCc89Qxmg367w7eOC+x7JSHPfN+DGcew5fvF4D /R6xyhssCD/j3K53V6COlzCg1gt9I5r1ax4TXsWd2koCUG80vNwZCufpRnE/ fQgPY02JpidQt/yrLwXT+mHdqy/PoM/EJu9qI+F5rBrCmQ31RtsImXvQT5Io 5WCkq12GHSrEm6Gu+NXYuAP6hW709LcTnsRh3A98oU7y17k/puf+D0J8r0A/ Eocfw4foLJx5zLUb6jBcdioe0Ne06Kzcl1b1cqzhv+MQ1G3o+tH1pOvItnp2 NfQP/O+zFF/J4FCA88qVQxoPoZ+hd+GmcrKPYIkMmVKoU9VH+D6AvoX1HGLA /zhp9EMs1JGaR1TUoW9B0GSLA9kv8Fy9J9ZQp1qrldcH/QNFZjsNCL/hknWf QYeg31oyY9A/oKr8TYjsO1j/ZtlDqHdRHqG8QvmkYsNj6AvBV89Ok4R8Wa/M dRjypN7/kAnwy6DZ9hbgm+kH1U4Bz1DcUhxT/C634fUGfpw9vmwb8GVx6rpP wJN0HHRcdDw2drX2wBeRFydygD96Yju2A2+c0p1RC3GxDG51gzjV2aaVQHxo 3tA8ovlD40LjROND84nmF82rfYbrhoGvl+S4iQJ/T96yFALeprxDeYjyD+VT yq+UVymvUZ6j/MZwf3YIeJz70aoc4PXPq46ZAp+/nQhzBdxGu441Ao6Nv/9u BPxy3+PjAtxON5jbATjW00r5wMLvf/xL+ZjyMOUFyhOUHyiPU16nfL556x1r 4GuZ49Nzgb9Xp/e9A96mOKe4p3in+UTzi+aVhKJqMeTlo4eunpCnnu/vvIfv Kd4o/ijuKD4pXilOJwcPNwMOg36/bAFcTnkb/ADwSHFFcUbx5e7RK0J0Oz50 +EM49CFe9XiZDHVIiluKY4pfiluKY4rfC13Jk2yjJbjDZPkF6BPUmHdBE+qT FJ8UrxSnlHcoD1H+ofs33c/pPk73V7rf0n2W8iDlRcqHHYtNPIA31+8ajAQe vcE29BT4k/Is5V3Kt3/1s2Haz2Zx5K419LOtjMXtLwzycczGiPlwviYQwmkO /XIN/AMlxw1ycHRSRgacP+rc8jkJ/XKjJ1ZOEt+NBfvH38E53dfBPmXoT7ul nm508ko+9u8v/gbneueTw/mhn22OW1PMYmtyn3bNudDPlnxJmI34enxYJi6e +HpsINjFOk/8GjLO6mcrTBs8Snw6zttd2Qznj9cXPHWH/rq6ua2txK/j/ACx KDjvi25duxDyP3ebmA7UcRMqk1Ig/+fP338N8MKuE+YC9WPVnXZtrP2uRC4W 8v/7e1Mr0JsfPURPgM6cLpr3CfBSYXjJF/Sm+4OzR0Bn0rjQONH40PnTeNA4 OKl/CIJ+qXcLLJOgHoCbwhnQF2dranJCUDMHnyn8Zg31A8NIHtY5O40vjTeN M50/jQeNQ9a+H+sVyfy9tALuKZF4tPcls/oMaXxpvGmc361Xeg/xTc0/nXmd xPvbmy/Q94VoHtC8oPlwlOPtUySIscyCelHna2Teax1ew7lts/R3yaePM7Ch 7e3W/Bs5WLdKXB36cJZc678cGJWBT2doJ3IU5eLK6g0foQ/nv/NgTD/puXBL yiX+J/oZeK3LmW1Q/7AMX2gO/ZBH5klrdCdl4C7L3WZND/Oxlr1OPfTbKC3y 2wb8wG13+xn4sNelwSOEH/B84+EFgOshWx5v8OMWN55glh8/oDUIODXa27IW /LtNcoIW+PdAtvm5gNP/fWai55cf7IA6WJfK20rgE+4YeR7wQ0HxBcAn+MjZ x0XAJ/N9L6eDHxIydoc+ZCzrqThdgui9zVYtTlA3yLYpzoC6geqiCG3QezKx zd5QZ6gV3A16D6eNFpUCjyWcDA0Ef9nLKfsJfGXbYFQu8OG+9OZS8NeTg/vj wV8IheqYwH60ZcooJ/i8JQJTHcHfSZkE5cC+Znyo4w74yKSDNhXgH9tNyyVA N8zWyn0C9Z8IfkkFqP/wKb/zBB7jOzNlF9R59vCJ9v4/dR78d53nW2RaIOx3 nOk6/uBr1+Tdhb5E7NIV3gb6+cxFjmSotxxUXAv6GS/3Ns8Fnbxy+epJqHvU 7pUeg7pHoL2IJ+hkHZkDxqCTZyfNvQL16q7kJXmgGzvTqmdVEd2YMo/fHOq6 Gdwq6aCHlZSNt4Jf26ijvQj82tldPa6wv/C5fE2Fcx4LbdOzsL9ENBjdhX1K zW78B/g5gYMZUuDj1HNs5UDPR33imQl63ihlWh3Uvf/S1eg/XY2Pzl8fBLq6 3NXoAejqumUHT0J9dfHWw4ybSiXYLWQk2H3PF3z6/a+90NcXnvQkFPzAj483 g2HeDrkMli+QLjHgBF9xTGb60kESp8dlhrXgL6i+p3qf6nz/ok3Bor5FeL5/ S+FW8S/45hBbIviF69GSVlnd+Zh+2r9alAF9eg87aphMxyJ8++aG5/O/5+C9 nBv2QR9jcZTBia7UfLz95FK2s3k5WNT01i3oo+uwr6jba1yEvTe68F5oyMAJ h+azw3MprijOKL44pQRzYV9c8U5WHvCUFFUfD/sj9TPU31BfEyw3GQP73+zf 0qz9sI878iDsg9TnUN9D/Q71M3QdqK/J+HxltrZxNo6M+Py6yC8HJzfb7YZ+ P6WmZpnosBxMP69obc6AvkF6Hf0dvf7L+w/NwEfFYzctgJ8Y8WX7gJdoXGic aHzo/kT3K7pPUf6ifEZ5jPIg5UXKh3T96HrSdaTrRNeNrhddD7o+dF2Ep1hf hTwrUzyMIO8Wxl1ThXybMA3OgzxjXHTZB3mXlZgzDviSFOBn4UXCSesN5Ndj roUsvHyvjGkHnK56xH8b8nELPt8OOB3ZLzcb+KpW00IJ1nNAav4n4KstG3l0 YZ3M1HWew7q5VdntAr56o5uVDPpvs8iy+4CzDEH2LYCv3/NsU0FHurL5f4R9 slrPlVWHaTgUFgw68iA+9Q721dR9bvqwn876ULQBeEm9K48N/I3nXE0V4CX3 3B0sXsr8+NAF9NXZoCc9wEv/8L/415O1MsD/jxN2nQJ9KFtxvhf4/y8+x5TP /9oXMN0X9hnnD0C+jgkzTSB/+TI7Wec+vRMi1cD/ktJb6kBPJnZEQT8nzs6K Lgf+P3jqrj/oyXVHNx0E/v+LzzHlc/NWwzDgz0WKVq/ALzQJSocAf/5DZ+Jx 6XhWX3rmI8d84HWPfI5y4PNA+Z8IfEiv8l0j2AfKQ2Xsgf+nLBq7Dbo56uiJ fNg3xvh+fID94h91D/wPv4wlHeq/gS7/7pp+EHS6pMacALjPNE+nGUzir15t 5pIAv/VMINAX6o1n39xPB91/9bS9HfiAuL0bQf/j4bNSTPBdvSc3OYAP+6V4 ngF1y5SlhfGgO/n5ta1Ah8rzz4I+Z3z8u/sv0KnfNpg8At262N8uGM6VbmgL jYKuFdlx4QroXDmnO85Qj6VxpHGl8fxHPQ0vrNvJyaqnXTxTDf4sc/1lcagH /qOehrcFP7MA/W3KGZIEevxRQZkS1OuC/OOywXfl1K4SZfmwt7Xnof/w7M+V 38DHXnBlPwG+dvZed1PoYzQ0s+UDP+x0++cp8MfnuoKToZ6pHty4GfywF3/P dwvij3t47h+HfkX1QmHon8G7pzJywQdn4YxqqIu6TjbfBH/YWb6kCvxi74Hh VKhXvzT7bQd+wOCMuCv4A975FSawT4VsTXoPvjFZZPZQAfGRfFyvoT/nDz4p XilOKT4pXilOeTzGVGGeGw7zpMG8h+MkLWC+Js1xJr0k/+nni1D36fVnuvD9 bzJmMH9vwXftEA999WpjiAPlC8oflDdovtL8pXl7dr0JvHeBf7oapkIeTS4q gvcv8CIbr0+AB3GRGFvAx+NbpyoBF0frFdUhX6XX36+C/A19bRsI96H5SvOX 5u0//Dj+Rx0AGx+dewbye2WMYBbk+5IE61jIc4pDikuKx8kvT+vOHC3HEwMf ny3JrsRF0vGbWP0nOXm8tlvK8W+Lxl+JuZVYeKMx9I9hwc9fMtWlynFlZBEH Z3cl9k1uXw/XD1ZEf28KLMV3lVLkw8eqcZ9lhTv0i9Lr6O/o9df9+6Ylkfv6 uqX225DnXH65sgPuT8dBx0XHk/FWVQrumx5h1ATPUWHbeBfu77whnwfqNq6h OmKQp5PLpPUgPykOKS4pHvcqaoQDbk9+4MkDHOvYcD8C/FKcU9xTvAcGCHoC PuPq0mUBrw9n+uUCTmsd73wDfCZLXlgAeC1oX7kMcEpxSHFJ8UjxQPFBcXHj ufBFwIPtjhErwMc6855TrPc0/3cORM+FMD0PovikeKU4pTikuKR4pLiiOKP4 Us8NYn9J/KB+kqgb+MHsyBFOOF8+8MOrHvxg/JeOfeAHO70dYuE8+h9+EJtJ OuqBHxywFjMDP9jMq8/qS9lub5wFPs5g0fN14ONELFfPIT4O71W58wh83NJz lY/BxxnmbmedO79dsjsd/KNKWc9R8I/q5emZcP5+78lqbfCP1y5u9Af/KLCZ uwXOu23sKqAvBYfP5HcD3+cxXYJ1/i6e5hAM+iZ+ZLog6J1YtknQOTjKe8IW dJJ3X4EP6KZ7hdtr4Fy+21WNG/TWtiPfM0B/nbIf3A99O3TcdB50/B8+ns8C XXVldxLfHKKzTJAJhv6fOfeSjUGPzo/l9QB9ai1gWgt9Pu9EkwXB54pIHHcB n+vmcO0FnJurptdygn+ceGmxCfyj0hxr8I/Y4H372BGiC12KI0NAJ25qnL4X +p3ePBRPh/Hd3F2/H8Z7UPMp+Fba5/Pnk/b50N/T+9H7NK2t2Q16lH5qtLqm Qb8W95yZCqAzn9navgSdOdd3whX6pmi8aPxo3Oj8aTxoHGjc6TrQ+NO40DjR +GgOKAkDz3S6LGAHPkBDKt+gT/WBe+pP4J1cvT2dwA967crd8P3umZetgcfp Z/+8wSmEzxHNG5pHNH8Kl939BnnWqz6FlXctm3RZ+UnzieYXzSuaTzS/aF5R nFDcULxQnFDcULz8o86Df352qgJ9Zsp2rQz0Gu/1WOhX/KPDqC6jeozqRaof qW70aWvOAF24f9xzC+hEg8ja96APqT6mepnq5CAxhcssv7Mzrhr044Ffa3VA N1LdTHU01c//OBf4oyOprqR6clnTxlTQ94kjeUzQ+xMaLb9A51N9T/U+1fmC nx0Wgr5v7h8RB785aalXAzqf6mmqr6mupvqb6nGqwyk/Ur6kPEn1NNXXVFff sTI9B75maEDmIfialbpnNKFfKNyffyH4Gr5zU6rB17xbkge+BlvIpbwHf2Tc 734X/FGWbGYKxHOn0HRr8DsFJ0Kkwe/ULwnSgH4nIbFIO/C99HOvuEo69BlS XFGcUXz9w1dibp0QKbhvSOLN2/CcraKL1OH+dBx0XHQ8dD50fnRedD50fnRe o0LNspAnvKdtDkH/iOrFDvB9mOtgXASso3lEzA3oB6kvaiyDdbzhcHsA3luX e/4sDvp0Zks8lID4c9jqzIJ1fGrHfgb6WY4p3YT39f7OH/o+Kd4bNI9Vj86N E2T17/SfDhqE9e23+3YX8ur49dOz4Lz+7PS03ZBX7hs6IyA/ryTZgh9Hpf/V o/7r98N/9/v94315/ENOpxZwd6fiewr0Cfhf1ggB3Lnz7cwGHPm4rWb1y+2d KcXql3PsV2SC7uSbtrIQzuvLnaQ0QX8ihcJA0J0nDXYlwfm+nBk/nDvQfjb8 dz+b0byvjoC7wRtmbNCPo7I1DuoMuMfpnhXg2lplXQ/0Yzhe5fgFuP6vfwP/ 3b+xfspoOPgIs0bbaujTGDsndR98hOjTRlPgBccTToVQV+T4qt71f5w7IHru MC7f1gi843fpjRDUCRtdUn3g3CHluOdmwJWNyvgLqL81XF3KgPO7SP51OYDz oVDZeKgf7nzyQBXOIwIWRLPOF2p3/GL1XwVXTO35f/q0/67LodYLunfA/9RP KfWAutzTKsZDOIfavOfkINRlAqtFzKEOOZRwn/V+qMltpjHwkcPaicdQh1zx 398r+OscBNFzkK5y5d/Aaxu9VRWgXvp6+p5D/8e5BqLnGr+ePuiGOkOTvVgq 1ANjKsVbod71jzobYvNbmAC+Y4rc0/NQb+/ZHwS+A21u6KgHnxIUnfEc6u1d Q2804Hzq5vvMBPARWaq64tDv3xCxZhmcQ5natQcAP1pd6CmBeuP9U8rToP4W Fv2SVV/bVvdpO9QPGZ7BrDrbP/4eAnaNHC8H35IdJvUA3tdQWVygD/4lzV0t C/zP8dnC0EeB1KQGrcEHPXfDarBPqWpbsPoMFbrOsPoMe0L6r8C+9nV/CoI+ w5+zLsB7Sfgf793jD3wb7UDXDmhy6EF/iJ6s9kHQtw2DvLygg1s3nPGHPha3 pfUbQA8nNnfagK6Vbg+6C/2fz6NLjUDfZj22Z50jGhyaxw19TQJ3JeNBD18p nZIAOvXjS5926EuZsahlA+jVf/wdBqwrYr4IdHBFQr879OHsmrI/HvTwTvmT m8AP8HA4T4X3Vlrj/I6CLyj0uiQK+rhMXyQV+nl4S5pqQSejqekNoBM2Lupn 9We28ydkg074r98S/91vWcbGKQ76UKW1zB/6Qk+PDE4BfXiYb70u6BCRZ37C 0EfK9NdOBR3iZRIeCnqIcSI4A/owVf1F40AXbXk0mw/0nJ+8lhn0jy/5ufMw 6Dqv7OtmoLdMwxefgD5S3tNyhaC7nPtvJYHe+h01vB360PVLvr4G3TXv1A89 lv7M1/OEfvNtr6S+gL76S88gqmf+8XcecHPmvFvgV21j/Uagv+uk7v588K3/ +HsXWP6q0Tbwkwff5MD5M/oSoHYOfGXjl1+/4Zx7YMfdPdD3ZSV29S742fjo 2angSx/ZNEL/DFKt6Yf+GTz1wf108M9dP/yMoH9ssmX9DvDRfu7dLJ8su/Tq Kehf8oq6xeozXC+77w3489kfhxKhD0p9xVoJ8Oma1cdugD/fZHOwAfrHLkjP g/4BzNc50Al+T9jFTAT6gvVVY2+A7zt+P7UF/GGeisog9NEdcjEyBZ/oJP3j HfjARo+wm9AXbbikXx/84F9640+f3jAjqR722VUeaqy+ZZOPejMBvz1vGm6A 3zzXKbOY9V6+VTr4TbT8knQa7Nc29h80oW/53gNZDaivfm03eQV+Y254xEzo Oy5dqjkdzr+kD3DGgX695SuPoY/4q65CKpx/9Usdbwdf0H7GaAjeO7CcPAf+ 5e9zqz/vM9YtOSwPuiLc8WoP9GufYp5QgTqtv5usP/jQgBu3C6Bfu6zy4DE4 t21fPsMYfPGKI6tvQ594UOT103AO6xqjogN65itD9Q28Z+Fiug30DFLalRkK +iRK3H099Ff7856HcyVU4jZmAXqo5m3SM3j/Ys3wVwznAoy7Nq+gXn1U4GIH vAdvPdUlAerV35XdDMAvXA4O1IX3JtwkN5dBnT/ppPk28C08Z/emw/smzxfX 5kBd/b/39/Hf7+/H8xuyzjdDfzY0Q581Z5RKDJxvbnypJQm+TDw6xxP6pRWL tMCXId2nEUXgH9jWzQ2HfvCgbcWp/8c5JqLnmIl1Am1wrrqBx+oY9GtvMWgH X0Dfb8V/v986cqNCH/zUFcfGd9AnbtoeVQV1+3i3FUvBN92w+C4M/doCAi+j oT7f5YdfgJ5T/3DgLfS5O7UtUIM8iX3oJgh6Llf39TNWv7xB6hzIN2mvgFLQ hUsG3rtCn3uZxGvQh6j+tLUn6EiFvW8HoT9/ru82bVj3E6lRY5ZEj7aODayE 92YOs3VehHV0arZUBj5pvX7nDPDJjjnLiiD++a9rXwCPvXK2zwUem5EWGAvj 3Lo/Rgp4bLdOpwfwmNBx+4OQh/tezbQHvlIWv18Pf99gm9Xj97C+UscOTIdz c42fT1nva5v+3sP6uzF/nacgej7y1HCaEdRzMtdfLYC+125nSTvoH/irP+HP +5WGxYu+QL2FJz6M1T970VoEQ7+K7YmT4VA3c56iag39rVnuvEuhf0b7ZUML 1NmMCxYUQp8p95WbrL/zU2352QTqLRU5rruh33PVT7Y46BfaF179HuotX/SO iEB/aFLjqnro/ynlG50L/TDNK71Dob/SaWeuBPTDHFyuNgH1ojNH3n+Bfs/C VS9Yf7/o+6URVt154UXPt9A/e4J7AurPqPL9biuo4x3UEKmHvk7jI3FvoV9F MtyWD+qEqTqjVtBXO2Gt4QN9RG6qC2qg3oiLhYLhXHVs+5di6BcyKvcrgLrl 6G7LCjif9b7fyuqnUkufCn23WD9RURjOZw8Xm52HfqEXljP1oT75S3/vTHj/ 72CgA/SL/t3Pg2g/j2LYviao0zHzd96B977TzLnkoF7nMPR7CPx79zttfngP 9cjIhmbw7/pcNabg2yu77MLgPdbVKsPf4T3W/95XxX+/rxovLBoG9UCOMwvH 4f1yqTW1knB/LfzAAOq3A5nLFsB7q8z+kwbQl/Xf++n47/fTOQ7EDUPdMJKz UBXeZ9+f/OMq1A9N5QJ6oV7Hd22rPPS9sjdeUIQ+lp+2aveg7sfrkXwQ+oIv hn9mvV/pobJsCdQbqzMkDOG9WLas5WrQJ8aupDwb6py/DH/kw/vx/j/UWM8d e6K3FuqWeZZys+HvLXB9c7oBz60Z/j4N6gitTmxWwBsqVTLzWLrr9WdWHcFP QSYf+KpKI5NVT/jvPSz893tYG15OYFa9w6jrAfDVDu2iNNAbbatbPYFngoT6 G4FnDubwlbPew6pux7C/aE48F4L9ZXvEKnbQLcKXBYSAD9+6ejgDH1briMB7 6H/X3xCtk/xVb0e03s4+44IRrMtDW39uWBfenoHjoEvduxfow7q35kT5w7q3 V938BX8n4SS7JKvOk1ZdsATy5ML7hQ1QB/7v7yHgv/8egrX73UDYN0X0B4Rh 3zRotD0CPlfQWS8U9qNN7VI9sB8p+r6+AP56mgmfD+xHlz4e54H9KFNPGvwF PjVmcx72I5cVMq9gP/plOgv2Iyy6takG9nHVofZE2MePevHOAl85duugK6uf Q3S5NexHN4p3loC+ql5YPgfqYI9PTF0P7wM+MXr3FvSYcbShGuxTFh8US2Cf cn6x5iPU2f57nxH//T5jHSNEEvZlb1++atiXt61y2AN+/6HYbGfYlz/Y7gyH fdnrSDtLP59apG4N+/JTtjlBsC8PyFsZgz5J587NAj2gmJJYDnrAJlBBE/Rk yWmdYFb/jGxUIOiHEzav00DfbjFVXQz7zqZlmBf2HcMByVegS3dU5D4B3bL8 qJ4s6BbzhqaHoJf+qjf+ea9wVF/VEfhZfvbiDuBnlbkc1p2e/7869h+99A8e xv/gYZwr/7YM+DxLaelX4PMNweHJ4Bdu+YYvBz6c8JK7CHyoxMZ9D3Rmv8xF eE8bm7kOPwdePXe+Gd7XxrOqP5oDr25/urkaeFVHXSYG9OeWZnY14L1hmQWs fnkxYTHWeaJN0EEP4IFUKz0N4AGV7s0fWe8FbItuBz7fjaOYwOee1w3Xg9/x 0RnNAD45KNrJA3yS0hSnDv5ou8p+TuCNtFHXw8AblWF7NMGPZDj7G8L+suKg mTLsL9yTFiz/ko1qcmB/2bueIQH7i12LShX4lBP9laNQzz8q+sYH9pd5XpVS 4I/+qhsjWu8dOuW9BepN5pkzrGF/55A8Zg+4aLn44zzoivTUqNugKzSlNQ4D jjKnLOUDXcF2uDwMdIXqGqe5kP+DbtNdQD/om423gn74MnlQD/LzuvS5JNAb k1xzbEBvzLU+mwb4mm3Q77SovACvnZXEyeypw81N/heBD5/dGrmwKniYIb+j 70DuaB1+OVPwwamp3WjGglFbvshYLCOzsT10yjc0Y9XMev76LuKzF9qU3tdm rvi21jR/tA7dVnNLMiHXd40ED3lfi8UvZHsmnrE1oNv58/wHxjtRq9aijJPr lBma1bH3neUb0EIB1X2Jo50oIMDLCp7bmqOpBM+tNjcPIM/FiuNBtYevDDPY H1+Mt5NvwPOdBmczyfU9vp/nD+yOwfTTxDvhu0FRH/rsL17Cu32I0aMQdIeH EYOfD12RKWnvQ14ZjBO85N/S2c9w2WErxu7nAZvh+wpFJjuH2X4G/Zz8Df/1 oT05vZzP2RqwWO71wPvXYtE9BXMvGH/lmqb3ZP744+RUSxIPtHvBnR4SByz6 NPIqmQ/OsniUC/ObJtR+COb13NXPmsQF52ShUxAnZvKGBBIfvP778n4Sf5TL uZmLxB+t+VBpC/H/aVRoDte1bM46DvE85mXEhOv3KR44Dc8r+J1QAvG/frS+ BZ7rczk1FMZ3KCLpN8R5G39XAIzzv/FhOl46TjZk1A3rEqK7dB7Mr37kzl24 /r/1RX+vb8TKU46QJ1M+FPLCOJukbZ1hnHe+RDjB/eUMdT/D/QtrYtrgejof Oj86r0gNDnOI/2bHHx8h/okzr0L88T/ij9kUbvzuJ+s6oWnq2Lc7Bi0Wxj/J +uKzbNqs35+b+qub3A9JPdizCe6z8AjbIsgDV9NmD7je75kBXI/k9ts+I3mD Ul+uUr5/d5iZr393EeQPjReNH42bpa7DYpJ/KJPXvV7u8TBzoVN8OOT/n7j8 Fycan7DPL2Q4UQw69i15ZffjL8y3Pz58KyR5ReNL403j/Ff+/FmXn+Z28wCH v8oTPSHeA2MXXSBuZ/bPZOUrr+2GJphv2pYTMF/047jITLg+QPL1ICvOpyfs 4Xq6Hv+tD6Lr0iXx2wnyMPbtlbOQXx0O++MBp//lFf47r+i/ad7R7/28djq4 kPhMBG5Lnyo7wKyby1bqTPLTaY2gJ8Sdfn5Kmvkb4q874xGXAhn3r4eBxdGv +5nWWpOFxWS9TIQ5KgCnR2e43gecnlxmBzjFfdyPneD39HPHRhO4D+HDAxOQ D/Szbxb/D/j+r/n+ycOj9a9W6vEX4C+ZzicXzviGj/PXlisRfTJdb1hlCXcx Pvnd3ta5OhFtU/eIlb/ai3bcYFsL1xfUfzkF1+e1qJWR65FusvCRVvciXOTC +/x0+BN0boVfRXBaL1pRUyXUoxOCuXk/ry6sqUHLmCE/gm93o2nrbR9q5aXj Jh6Jb8/Z6lHmtdfMR2pdaORcn4eOaBE+4ch+57tLNX4wUPVW4WEXrrwr+p5c h1OO+zSR36FN9ePF5Hp8L2Fa2hIUh+23vwiyibmEdfgXlbo09aHDlYsNtE/H Y/qpnn05fTK1D3363OhH7o88XFEYuT96GxXyktwf0d/T+9H7fHc64XJAJQWL T6mu4HpZgzwXzZ2zw6AbjTPttEgcUMusa8IkDihv68t2iMMinnOxWtPScK39 I11nGxK/i02SS7R70cobCiEaUxOQ8taBCt+XVcjkfIlPV1c3HtcSnbqusgSf 9SgNqZhXgFRMVuhsNevB/qJCR0L9EjDj81K3xGX1ePv+wV1rznXh5p4dZTD/ QxE8lRA3TdUwDHF4byni03HxBXL+0Rd/tbgG7Y2ts6i93o3STqVlJfFEYI7t 43VnvIpwSPK8wJPE/7oiCQaso3rCOQEY/5EH6l2w7peKCzLC/BLQgTXVL8hz UcXZc2vJc5H0qtQuszmp6NRQn/Qlnxpkdz5Q4LpON4oX6+vfsdMVc8kOSNUO VOIoN5v2Awo9SNYgSozkAc73v+NI8gIVnv9ZQvIB07jTdaDxj1K9Iv6oJg7H L22IeJL0BkWkq9W4FPaR/UstAMZh8O79YRIPxL2rRw7G4zVk7QNxqVyNyyBO xvUu2yA+NG9oHtH8meM7efCjTwGinzf890WKTfTgXx7X7ddWlqC80JQ4iH93 W6UlxH8Gn9hBWN/2bqnFEB9di62dEJ+iuUJaj5Pe4MKuFB4yXuJL5b6RceK4 /ZXj3UUYXzw/USyRXYiGk5+YZz/qRf5NIj59qz/gDUKzZGt/pRK8ibg+ud+H KN4o/ijuaD7R/KJ5JWl6WqvA9S72tvFKGDVLQ3OZJ342vOtDhQf4dU+sCcdZ hccPSXEVIS+u5GKdwt4/eUDzgubDu4noPQSHuHy7aVizTggS3lk4SPCI6brS dabry6eztYfkPbZcu9qB4AA5ffo1neQ/ZlN+zkmux/q7x8TM56Ti6TFzxcj1 +KXoVs1dO13RpeiFp0g+oHOOGTUkH7D7Ar+bZDy449PDs+0XX2DBs9qOZDz4 XNslJZj/3q+ZS2DeOSdxB8y3zDyP/ci0NNS44K0LwRHaWZWykuAIn/6xzRDi Vvo+XB7iY9T7sYyVt9unzyTxxfjsj58k3uhUizvEGVdeeZUalliCyzYb5F9t rEKS9UE9fPu7UPY+z0rCa7ih03ou4TlUeK8sifAbxvXGDZXzCnCc2KYkyIux qy80SD6gWOMVxdk+BVh16qgy5E/hutBYkj/oWDNbKbkv/sX+zY48B3GUqY+R ++P8ng+8NdoFuPSs6/nwz3V4uNFj8aK+TvT165FKsn44T/ebWp7rXfT+8o1x so74vzzHf+f5g8lxq7DmJFxVwXNySXUhjv8duXxTVC+meUnzlOanoKR0JYyT frp910yCcQ6fyfRafiQUZ72S4GlfUITfCfUc/VTUi7VQmQrgZ/vxzaGAM9t3 F7cAjii/UL6hPOPn/PQVxDHaAjvDfKffsJ7KT+ar/vyCfMKuKtyxonjD8V9v 0FGlCek3i3vQw0JOb9cHqX8+P/d6ZzJs+5DGzCXOvhqvUAXf46LpCmkoKzPO KDOi78+/6f+n35tye5rAujP1xxHMtyhJ9ivkiXjvl53An105zrmwbuVTR7fC ei0QjOJwE0zDX6QHhVW1qtGlRQqG8cSXeY0u30j2A0Q/9ctuZpB94c9+Rvc3 uq9F24tuTuWJQA6dy09behUh+bydboQ/cWy6fCvE1+/4HF3IByXDibfAJ8nF 5/eRdUdeIl05ZN1RwD7ViYV9JD//wwPFB8UF3Q/o/kD3hZreAmMSrz+fyNjz I4kbFn4QLEXii6/uLNxH4o2uj+/eQOKM2eyOVLrFXEIy1hqxIigORQjtLSL7 F6b/pv+ffs+dzBtE4oxbrod4eGu8wpVLTp4mcf7zb/r/6fff+Z+eIPyCBd/c cCF8g9ZezS8kPIOHBOXzCd9hjdY3DT1FGOlKR50mvIdj31y2h7w/tmWLMsTD qm8GD+T/x7ix8WqCixUho/kQn8F3cVPJ93/2S7p/0n1zdoJiCokPXlJWV0zi g5U2XAog8fnDC5QnKD9ol5Sz9qF76cnHSZyxc9MR1n5k2ej6k7muBNNP3vby FeM/u/Eaj909sI70c1Li9QdYx3yZDgasK/0UNuqPBhyJBlZOw+tK/nz6a5mJ k/sg587c5cCDFbHRi4AXp216vRT40HXr9D7gB5uwWQ+Ah+6OzGLxD+VByouU D+k+Tfdtul9/jStIftKchM5kSmsSHkBGG+etJzyAKJ4pvimuw/ve7yV5jxev DZQlOEAmR8oPk/xHlEcor1A+wX5S4uT3yPKkoCi5H3KUdtcj9/mT9xQHNP8T Q7IiQL8ZTW5JAV32bvFM0GN/xkfHS8dJ70ufQ+9Pf0/vR+9TbP+2ENY7Q0wj B9b/+bVxP1j3Arl1w9skTqLaC49Lg9WasMiExoLoax1IVqLDUk58Mx4L5i27 uLwZhxko/o6qaUcqq1q3DPCJoR/sLXebfjRj/dWz2owl2lGeiMiS1ytnoYPt ixmWb1vwqWOPr+6/3oZqsrqCfo41ozsmtTFLVYXQ/dXRNefWtONrNforbzk2 IbWbI+erzxqihwF59luNOrD7mr2LhZc1o/D9H1yEpSXwjZzi8YC6duy5rTHg 9dsWpLHmEdfGlGFGXIr/du7rbbhq5LXJFK5Wxp6zz/Xu7unFvxz3zNjwvBQV ffJd9aC9hdHYN8VGsb8HR3xSEHB7WIaOPFFdzXexg6FwOv7wO8Kzhu4t86wj 61FStvyGgNWNDLE2dpm54p1YhDOv+odNIzrv2TN3eFozY6RoQ0fu+04cH7E+ 5FxQAxILbhQi/0ZdDKlDbgqNzHku4qXngxrw0wds/u9JPioLPK9dtL2aOahW d/Z0ZD1ePzLuySFO/J/widUvE9uYuy92S/20acTr3DTqybjRgt/+VQ9rm5nz vQ7+Wvu8FMvvE3WeIdDMiO3OTuII7cXL1FMSg64Uo+jV2v7k34j7vvIdR40W JpY9GB58pRhn/Li3WKm/By0yTsp2UG1h9g4OR11+WIZ5BBbHZJ0qQUG/u4aV h5qZXRmu+boXe9FvY/Gkyw9Kkb2slcW0tiamhiNnzT3VXlSsaJx5tvAr6jKQ Yx9fWM+UWinFZsPTixQ894QtGK9DMra84276GUzF+nXul6Z0o7jQE5ukV9Yi Ua7lJfMOtjE1cr40JTt3o6N97tPv76hGlw3McoJTvzG3zplScHGoGw34X/yU MLMKldw75/y0rYNZGPkqp0i+B71KrOpXl61AuXbW5q7fW5neG9jzk0N60N7j agMnHesZZZmSmtmnSrC9+bxYGP9PXR4sca+ZcWx/+3e7B6XY/UGA230y/iqN GZMhSfWMV043ZWwLv+KUyt0zzpPxl29bPr5/Uz1j71aBisXjdbh5zmolFzJ+ w7R1UT5OLQz+aKmzh1bW4oCFBidjyfhzUvODPZa3M8qv2cog2Qp8ZLyRLZWM p3jf4yt2umUMDvMWNubMKixpmFVeSMa/6MzuZdXbvjKKQrqZV3ZU4ymGQ2Gu ZL5WovFeD7Z8QsHJs0TzuBqZXyz5t1/W70Nc23xezdfJRPc8zp29ltPIPJY8 c06pXx/yZcu6EtyZjTq21JhZSjYwD4/IpYQ59aHJnce3M9sbGPWbyrkDOrOx QrBIC3zfYfDhsO/7ekZe2msDPp1M/Gp8VnYJuU/zti0hKesaGGlSAWFBWz7h UOG5fZfIczMFD70DvEStdcsAvIRvWxe+juTbGU12P8DLDEYHB8kjzPMlYBzy 57GS7mnIw8e6YcGQh9W5e10h3/bNuWUvzi+G9sVwfF8y1oxjz8roSkm046Gv BmolYpvx78KYwFXizbjgl51iem07zpqV7cMk/LDJY5eoM+EHbkeZuB0Ev/ru w09CVU6iqt8LwzeZNmF9GZOI91Yd+FGTf7I/wWMOp9hSght8qF6vCPCycdzw pADBr+XK2tw4gl/9YfuT5gRf006V3x0iOD1qWKkAONUeuh8MePSdLzu+jOSn 0PyGp1NJfk7qiHxKde7Gi5cpCS8k+Zx/7bjKNZLPTLNzxiSfMbKY9xXyaqpg 2zx7kldu3HWXSV7hT2MOCZBXfkVr6mxIXvHtduYleYUnTUz0fUj8YytqN/GS +K8LEygm8ccFLU44mcT/TnrM0UASfz4/+98k/lhkeYgdrKNZKv9xWMcD53Ib yDrit5IpuTYkr3Qki9iTSV5NX3drD8EF5lkxZz/k//aj23wJjvF+pnIxyX8s KtWSV0ryzby+M8CR5Fu1lO9dt6FunCLUOMWf5K2HmF7YXpK3hzLWv0oJ6cHL Vg1tPUDyP7py4UEBkv/b3M8sJfmPv2rnad8k+f+w49p8ZZL/jLfzDn4g8Zm/ K+uoLsHj3fncCncIHjWl1OwTyX2meiRO3iS4Ni85dNaH4DpNIOPdZfLco55m ue8JrvH50kuhBNdHD5+XKybj149fPpJJ+EdStnIl8E83d1IXjP+F7LIi4B/z OzFXgH9Ghw5UEP7Bks9nmAP/ePbpp48R/vl5x3gR4R+s/XBGHuDiVFzeE8CF +aeWBIibz1jBXl+Cr33XqrfkEny51V9VI/jCbm/SXbkIvmpqXum6EXzNPLaY j+AL98lkzPl+rAkd++7knnrYEH1LCJ6527ED3SyrFYslvJ2XOWk2n/C25aN9 ApZkX+jmkssCnl93TOoj8DzbhtRS4P+Ad7URZJ9APDu6OKMIn6+I0tsO+wVH /nkH4PPIJXO9gc+dsOUxSbIfzXzWEgu8HXFP7Anw9ksr5Xbg88zL07akkv1R OemVV+E+IVSwQMwiYk07ar0jp3NevBnJXT6Y3bVJAidnDOZdq21H097kvX9C 9sGhjxyflpF90PGe+FxRss+efPXclexzSO6Tvh7wf0lrwOerZL/bpPhqS870 HsQ1c/a7DyLlzI3XbRuOjlRhz4PdjYt3/mCUX+dXtznQgXkZUT5DXk04w8yV 98CSbmSNdPL1LfuYy4/O0tp1pw4rpj5L3d7bh3b3VE7jPTLCvLlK7EJnxRuU 0K8kU3miDz1l8htcMKtkXhxz142a+QllG/QpaZP7HHu62vWHSg4zafHDnrV3 6lA8Y3CzaMhPRrrxqfKdE23YOW54pv+6Fry5h+MQc2CUcftEiUa7bSveu8rS hj2vFfMHMRm7J9qQ5WhC7uvr35nxMTPW+ZDrXzttcK0m81pkMzuyOr6HWbD+ 46fZI1VI3jA1L8W2FSWKzzB9h0eZ5arndNaT+5z2uO5QQsaZWJh4fcenXOa4 vMlDkVmfsD1nIRPm9SM6ZCrM68LiUJ2uijdY0YzbjD82n5EW0raF/A5HV0an iM/6hKZ9Lf/NnzzCyJk5CPHAx2ec1YI47OsL9m6yH2DMezZoVDu9B/vXvHw5 lcSZU9nlFkdaDKOnsPAkiQdmD7prQ+KA3dMeTMJ9ZmgJYLiP40jvZnjuqmKh +tO1BWj5xW9LHao7mHqux6YsnuxFbnMP2PsPlTLW37s7UUHGI2O0vv7NzE94 2dhzs3SeJFTbJ/EwSKGG6bprutn04j4Ue+jZg6bPA4yx4N1im2aE4pafNQLd 433IyEV4x7kDHahPIe+LUWw3c0+c6dZRryakvXrP2PoZoUiA88nhbI1BZqFO pjBcL5tcqPO9v4Uxb8UjDhXuJDzNvt+Bg9w/30RT0ZTcR+7ZmqpplZ+Z8vhi /dT7TXjW52tR7OqfGYqTMbW8tQUYqdkqLyHj/xIzJzVKtB5tNbjz0LC3juHZ tO1ob2gXkhxu+rWdrO/DZz5J4WR9b2mezXu0rgW9Ot/FdzunAbW97hus3sKO FA8KvL0W0Iliv7KLDZH13Xrq5fH5n0aZpTsf547ltqL5SxeHHssfZsyT+NWY 8bEBW0VeLeMI7MQnLZ1rUnh6Gfv0TVbni9bj/DcNVtWhXfgLm/wBiE9M5q9q aRKfCwHsgmS+WHqNP6qRqmF4iYx8T+BJwo4xOddJPPEm7mm5R7w7GVXW2WIW ZF62pom5/JO9eD6n5yUeks9u5v0v5Ug+84mK3A0j409ft/E+Lv3GtJFtOtpK 8nlLCjKYkdeKeg1zHWbHxTFOX5MsIvHDVg9OriBxQ3ZdUS0CZN23hD9b6av5 hdnmu5yNxA0XnKyv/U3itujifdE11q0MoRGf8hQyfsaOCRdzEp/YEBnm1YP9 jOndEkUBAcT3sS3ZeL1xgDH9yooH+0m+rU2+tH4Pwd37QIfLtV6ljNmJAmWf SH5u17jZfJjgZbnRxDtY99vKWzhh3dV+dMG64+4BfUOy3sjnLdoxltTOvBab Yc8BcWhSsux78Juh4VTn/obEOakpK4svsBO9S3okZ7GjjXHH5dWyNyTOc72y TnST9XW6VoJObW1hzKxd/sNpQTZ2aldBh671od5sG+ZH8RYGt8Tk5scL8/Fs uUzNltV9yON3SKtJWTPj26XeZVZpOZhHWfT0IeM+dHZLyJpF0c0M9xirKt8F ifhSy/BZs699SO7U5tPe5D7x59mfrNNIx4dKOI3SI/tQRY/ckZZFrQw7rl0Z lzK/4vBdqYeC+XrR0NPAs5aaLYyn71+WN6gV4dOL3V42fOlFc9cX7jxh1MrY Ll7q/UC8FBv7uou91u9FaU9bm6MmW1BaD99FsaZW5ud62YmVjDbM6JE9cPF5 E/L/eO52fVgbE0Vsf/oddeDQbVEmwx+a0YGbv3hb1NqZCxdcZlMzbMez/Dba 6Nt1oZfTjkX29K/BWy33CPGcqceec+OrLnD1oLyQtt8X8huZZSL+xufyqvAs raO7pdUbkfnqquRV99uYKUEbDiuiTsyz1vY+754WxtEVR55xCVfhiKmHgrlk etDE2NT0T29aGJtnybg6oHLsck10wrywB4Vy9k+YsfcxLH8bPSTPwZp+2ZfP 51WhQ8/v2wsR/diZ8LBGTKyXOalh3yQzmo2vXTywYENUL4N9gusY+f94wdWR VXKj2eijYLv1M1M23GN2G1vbduE9bVKuoZb1yCC2N8pOr41xdXxk0uV5E/6q tKeZxAGtkhFWqstqY8ha560k8cAHdvfLkjigRn8HrCvWyrgQfVNJVr0RC56+ XbMddSIVjvgC7fJORtTOiuSXky14d0jIzDWMNvTSz2fMDpWjdWo23WrdLUzt yMg9FmRep+/yyM8VrkJW8y2bR9jbmPuOiZ6YT+IQeuD6/Ea1IpS/z/uBnlgL s/vIjVBY36/C3k5n03IQx2eVj3qiLcyJ+WesIK8WJgk+cFlA9LYFR0hXUjPz Ht+adZCft1v2XnqyMB8t6Ks483F6C1OJ3UsB8tM57rraB79mxjl7deHoLa+x 5VC5bEZ/H0pnig7s++SDXiaXoeGWZqbmwzONGpN9aNWRWytdPzczBB55a6p/ 8sHVrhys719n8919seU1QpwHyjBvC1NF4OA2uM8Hf/MP9xckotJgtw2Gv5uZ gbkyFyDPUUL1grUa6WgyyfX0i+JmpvNqp3OQ56ERUTP8xUvRXf1Tj3rVWpg9 T+a2vCJ5O2+2MA8rH2Tac+xJPijtUBQlccPzRPi8eUj+pJfMteQk+dM2eLiJ 5A/22dd8DnCnxWEdQOKETSraLEl88Mfah9cBpy9nbOx4RHDa+5ChTeKA97/d mAe41urivOlMcL05rE+WxA3nHzBzAnxN1UcNgC/2GIkXJP44YPXP1YYEX5v3 jp/wI/gSmqM7heALl3sLRuqQdZd6+tgqkqy7vLvLsdUEX/bOQZaAX98bh6oA v3ycvvsJfjGPQpQf5NW57/rnIK+OxNwdUyX4UutnXIY8dO3TqYQ8zF7qNfUH wWPzPmytTfLNa0ux7haSb8UBbzcggiMjs/mGpgQXlxSu8DkSXOSKV3FcILjr dkwVhvw/VVlsCvmvzz1zwVaCC1O9MRMRMzacfTrOQtCuCycO8HZfJ/gtVfui cznzK9LNi43Ji2lhuha7b4Vxri1QVoC8XTsYux3yNt4o7wzE3+FQ3tQ5JG/n xSsVDpO8nclY9ozkLX4ZyTNoSfKzLLfrAOTncJi0PcRfkOkiBXl4uUtjC+Th TaM5yhD/IyXsKy+SvG0P3rCim+Tt8aLiFRB/60fXJyAP38WoqkIefvc1h3zD fGID0pCHm6780Ic8vHRpFut7F2krLcjD5X3xbyAPfVxuQB7igsOBmsCr32XW eQKvrqiMAV7F+g77ahcSHhbfNOQAPBy8bZM1yU/8nKdgFeBiuDaiJYrg4pMW 51a4zxfxXi3IZ12uyYYTJJ8tRe2d4Pqvu36+gXy+8Xkk+R4Z58YdSRZw/zUV xaWQzwEhVo59JJ8nF35LJ/mMF48JCACu5+erhAKuXQYkn0Be1anLmwGPPb1f WgA8ZrFIZBZZL/R6xsOjzoRXJ4N8xpwIr04Lv1ZtTnivudvrS5xtF1p/gIex i/DwchmZNxsIjwm4eq/bTPg2dUnYOgnCt7PUP01TILx0sDRVCdb3+7SEIFjf 7XNjtsM+ohXPJwQ8/3vgKm4mPF8b3qAE/CYfV+EE+8JAVSwT9gWlQ5xXgQ+f qC/ZCPtIjBR7hijZR5TZdZ+tIvz23OqdkkdKO2Lb8DxKW6OR6bfgR1zUPtD9 HzRPHW9ARo/TJFyiEpiKzPcRe+o7cRbH/bWcvF2MQzIG7Do/iC5/dPj4GPFx zyLaZQpbmhjjH9RUvVPasZjEJ9Gn+5qxF+/Q/dyv/YxV5sNte8j3+c+YfhPk /vYhWR+X/KhD3Qfy+Z5/yWG6HlJ0mD21G9/bu+a3n280QzfkJ6/l8Qb8zLVh lzJ5btCmqq4zZDwcq/Wchi+/YEYtTTtJvkex4ePW5L6oW7hqSfu6fmaH4J2V k+S5JzRdvmiT+3POuKbUuKKLuemB/BkyTvThiCC/jn4GI2T4zbRlZPzam2pU Z03tRmJSP+6NcHgzrdJfKJmT535UGxfcRe5/qSfLes5IE2N2xdiGMqmvOFdm zM5rYy8SXTszbRcX4VU9RQe1a+W4bLP++ffpPagryYuf/BuJin3TXDWL+E2x XdfJ93jL/QpT8nvE9oVr6oI5zcyYnAkLch8s8mWWzIJDzYy7bg4tqK0CX3FI 2G94oQfVJc40UmirQGuVH10XVmlmnk2Y3Ey+xx/qr35OKclFantnXLW91cRs tLx0mHNvH1IclPisWJaFap+VthXaNDGbF04VaXfvQ/MscbaPaxNDc+/JV+R3 uJMpdASuPycSc63EqInR+IP1O2wn9L/rB2TmXYX5uiof2gHzNbyVeh7G2S8+ GgbzHbiwVgvm+51P8ALMS4nv2C4Y/2JfxzEY/6LmS6owztN6c5JhPGGr7Cph POc+xsD9cZa2eAKMf0dWhw2Mv1PqphYZDz758PkHGOe5dLZAGGe/6wpt+H7/ WQN7GOdMQ9b98LSi/91H6OWM/RAfuY1adhCfSTVZOYhbeWCEHMT/THmLFcS/ S+H2JViXklFFY4j/FpmEX/NJ/BcO552BdczrfL0on2uAsbdTNrNkUQ0+OiZc cC+tG1WF1x/VeTTMMI+1kPI4XY9v+k/o8zh24WCftzYm8kVIT4JTYNWCFmai 1TMPh6JeVBTknLhGdogxrfWTnqx0GH4+L6J9G/iXwOo4HNvPyBJm/3irOxlv HBo7dzuvD22JOdkqQO4TEnfz3oaKBubkNwOhq0W9OFXxuKyVdwMjOD4xQVC+ CF94WjbpSu5vh7g/PT9Ux9grE2ykw12DD7Hf3mCVRnDXcmsjGR8Sccg44Ptm mCmk5GZAxokUtmq98O5NRu++hkrlq3xh1vobznEjzxVJeGghLx2Gtl9aMTgu OcRMav/SCuOU57SIJfdF5Vr3nEan1zGnOXMJk/ujI7x7H00wWhgrnB4eJ/PG u3+keJL54v7o4dXw3HuOUrvhucuU5hpDfEaNnzaSeaLaObqPybyZPha+MF98 v83MDp47m330Jzw3je0TPBdLH9ifCXFrXhhoDHF7teoxxA0bDzVffOH+hXHw 45fv93uTsXBa+zwyfrzize8msk4ICdTIvZ42wBQyOfqRrBf2+S1/EtZL3s1J BtZr3Y4fRyEOhZwWPbqBPWhXZc786lOfmYqmTdyluyuwqHdzPLdJN7or632i qWmQuZ5dUlHgUi1uHLBxjE8g/uDYV/cPL/OZynVby5SSUnHdGUdzka9dyHJ7 4uLT95nMO7MujnX5fEPhBVnfH3cSPkhrftJuWc785tMaqXq1EDm/M1YqfpvG 0FaVerbkaxc+8Nk4utfnG760w/4D3pqHArIvBU2x72DG8VfyeezsQz53p8ur D7WiZrFQB7mOBEaErcOUZNVWXBUhahh1tIxxLnZqPnkOTuWW7Fa7WojFtW+X LnjUgQbT0y/cX1fMTPrMy9Uq0YQXrux5M3z7G9qr4Lxtsr6TsTrkFtfL8i5U 8XHkpYdLPXJ8WaBWZ/uL2XZXX+uSRRdq/TolbljqJfNMgvEm4Ucd+GagV3WZ RBMyVj6yTFqpGMmoDl9541rINN6+KcIjshdrzctc377wG+PTWjfGyaFWLKLb oR+h2op6aiXS65VHGEoFj0r1Pb5hudYp8bfLu/CO5N+yAcXlDN3A5eI6gT14 9+/S3JrdFUhP3zOs6nsLevz1Z/Fh/gaGY7rDg4CdbajVdMkU6wXpaMGPjp+v 57QzT8m7BYxF92EFa7eiq79a0YtZejddrn9C802mcvAfakFH5kWpaGe0oilR U65EbW5kLue52/7KpRW9OVwduPBWAwMFBcYdyWjF23QNnF67tBLdJWvOjXNx 6umpmzwZffja0XdLUhdGIV7z8y76rg3IQ0HD9fQuK8aJU5uC23M68djoOve3 r6vRFemimtemncyTB+9qfq7sRtPP/NYKiQxj7JB89+WoawNO/yl2vDOnE91k e5rbejQfCUl/mHanvpn5xPRF4a3lfaiaUeZ5rq4EyZhuzhd+3cBcYqfxYqt5 L55QOjfOq5+BeoYl6iKz+pmbf1nGPn3Sh8WiSmx/qVcix48KTf78dczDFx/5 7DDqQf8fcJtRsA== "]]}, AutomaticImageSize->True, ImageSize->{350.8787573553851, 283.38698930296147`}, ViewPoint->{1.5822180509899284`, -2.89876427695939, 0.7373952167906542}, ViewVertical->{0.23133455434255645`, -0.39358407719528465`, 1.091392550584895}]], "Output", ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztvXd8HcW5/79fyaaHTkJvuSk3N8UQEkhuIKSSkHAj995tdcuyZFmWLcu2 3BvGDXeMbWyDuw0YcKP3EqrovfcOoc7v/UzZM2c156iQ+/vr8no9B3nPObOz M+/nM5+Z3bN7Qf/hhYOH9B9eNLD/yedV9C8vLBpYefKfh1awKff/RdH/60sc d3Ikf6soci+vKf7LVfn5+cPlryh6Sf7XRjbkyF858leleetZ+V9b2bCP3qC/ Jn/J/6MK86En4g8dqDe0iT9kPzjMfO6R+HOH6g1t0z7nCi03H34grtRRiT3L v3IC24aYL94T7+WYwIdyA9tKzRdvj794YuBDbQLbSswXb46r+t3Ah9oGthWb L+6N9/iDwIeSLS7/KjJfvC7+4o8DH9pXXnUv2o9fFX/8tMDH9w9syzdf3Bof 2S8DHzogsG2w+eKGeI+/DnzowMC2QeaLa+Mv/jbwoYMC2waaL66Kq/rHwIe+ Fdg2wHxxebzHvwQ+dHBgW3/zxUXxFy8IfOiQwLZ+5ovz46p2CHzo0MC2vuaL s+M9dgl86LDAtj7mi9PjL/YMfOhwedW82I9Pij/eL/DxIwPbTLHR+PjIBgc+ FErkHuaLtfEeiwIf+nZgW3fzxer4i2WBD30nsK2b+WJlXNXKwIeODmzrar5Y Fu+xOvChkOaYzjK5q79YG/jQsYFtnc0XB8VfHB/40HGBbZ3MF/vFxzg58KHj A9s6mi/2jPc4PfChE+RV82I/3iX++OzAx08KbMszX+wQV3B+4EMnB7b9w3zx gniPiwIfOiWw7X/MF/8Sf3F54EOnBraZ5I7+EH9xVeBDIeH/u/nib+NjXBf4 0H8Etv3NfPHX8R43BD70vcC2880XfxF/cWvgQ98PbPur+eJpcVWvDnwoNEYZ yYx+En/xusCHfiivOSmFjfSgpT+zK/DxHwW2/cn7YiMrkGG3/xXY9sds5bha XhN4N/SNP2QurE1cWKglfxLY9vvMhYWMwPbAtp8Gtv0uc7EpmxAq7GeBbedm Lmz/uLAQc+0C236bubAD48I2B94NeZhzMhf2rbiwjYF3Tw9sOztzYYfEha0P vPvz+N0sRRwWf+jywLu/CGwzFirI85FxYWsD74ZM268yF/btuLDLAu+eGdh2 VubCQiPoyoxFhHYVLPaYuI6hwn6VsRGChR0XF7Yi8G7Iuf4ic2GpUTE0svx3 YNsZmQs7KS5saeDd3wS2/TxzYafEhS0OvHt2YNvpmQv7blzYwsC75wS2nZa5 sO/FhS0IvPvb+N0sRfwg/tC8wLu/C2z7aebC/jOw7aLAtt8Htv0kc7E/iusY KuwPgW0/zlzYj+PCLgy8G5r8/Ffmwn4aFzYz8O6fMh1LuLB2cWEh1/jnwLb/ zFzY6XFhUwPvnhfY9sPMhZ0RFxYywqF5nzE7QS9yZlzYxMC7fw1s+37mwn4V F1YfePf8+N0sRYSkZWymmmmT9r3Mhf0m3mOoCM39vrIptI7y3czFnhMXOybT TveRTaElhSzFnhsXOzrw7i/i2obm1FmK/X1cbE3g3Z/FtQ1NL7MU+8e42NDM 8YdxbU9oWbF/joutCrx7alzb0FQjS7F/iYsNTZCPi2sb+m6WYlNIDwu8e1Rc 25DLy1Ls3zO16AGy6BkaMA+OjyDkbLLs6oL4CHSLttGrqvvy+iHxEfEJ8S/i M+IL4kvmFlH0FcVE0dfKrcPKtqD72S9ug9BomqVi/4grdpL+9/58Lt/tj/iY +NTW63Opl66V1ONraSWlaxTyjDlxjULDS5YatY9rpH2bNEC+3kvUxm8fqcHh UgP5gPELumPOb9neOsZ7O0L+apvaW647WtkJ1pTX4+WNQ+IDCy0oh5jKsvvO 8e4PNsWm7V7vWu/+l/K6r31D/pNCCLMevl/LKhJyLN3iihwQV0TXYaoFQfRY Xh2QUrcvdJcEV1hbuPse8e7bmp50uy8kSvRx/0Hvvo23e+HxU12Df0MD9Ipr YFvY5EE+Zbs++bOuQVt38DZjJXM/0HUNLtu3phoHxYcfxQScp1/39VvfpsMn VkbeNfIQGmVb0xsHByrx12Al4lbQlci1lH5TGA8J7P/v+vWABAP/sjol+3+H eF0XFtkVv+bvVi9JHhrY7T/06352t1869JSR7vfs7l7Tzf+3lu2zc6Z9doj3 md7MZl/vEm8SL+t9hvxjln1qzTsssM9O+nX/tOM0+5PjfJ94W46TeMGwFrLU WXaspf2IwI67xDv+yu7Q71M52DfkYIlnzY5Ds4wsO87LtONu+vVAu9MvExn1 HvEW8SrxvJKTloJ2lvEstG+9iHxkYN/d9etBdt8hslyLv67khGsUPaWiKDj1 y7J7nQNHNbl7ZcNVIZlT0v6vSPvr5g9NkbPUQefEtwN16KFfD0nUIVNuO+jT u+PcltVF+4PvNLsuza3PC9I9hs0sDixUob9mqlBPZcZbr0J6B7I8mb1SjtkX iaeJBt1QoUWbLPXSuX10oF69AvXKbXa9XrP1eiauV8hoZ6mXnroc08x6tUmr Vya430zU61Fdr9Ac2dbrh5nqdWxL6qVddHSQCie+q9iryYqF1hiz1OtPmerV O1Cvtvr1YK8fnSYmNckJwguWMV210FpqlqppJT2umVXbp1HVkgboPZWSSxkr nverFpo1ZanaHzJVrU+gavs2qpqjLLZFHv2i5M8po+Y6A7LMJUNV+30qAQSj AmVcskTUL1PtDGvfSnRoUsn86j1JPKwTIVS/UzPXTw8OesSRlivQHSeVKyKK bZQ2o7IHZ+hmn0CXHM8SjxMPqQzT0Sz11QOIHqBlvwXyUqgrXeRVdoiSs/gU 3j97pQ/x0iaTBCb5fIx4ULd06ExOlpr/Vl4PT9R8/ww1H0oMIyr0nkKHsV/j w/DbPilMSVgkze7XhZ/RssM4J+0wCrUiuiMoyXAElcRwoipTn+yffjC+wn6s 0vXClzJRWfEVjxD36YP5ecsO5uz4YDTAPviuN+Q4ygPHUU2MlH0OCByPXm2J xLWH5C9T3whiT/mI6YqFTmBmOSQ9QJs5ymGJQ/K7p9x2T+iQaohRSq7ZkSY9 XznP8Gl8fEcFjvnAtGPOJFx+FzotEB4bHI+65qG1wSzHrAf/bzkmC6IjMhx4 si/loEcEDnoMUUeMTTSAG+G/CDbAQXEDJC2V49fv8KSmPOQY1g0QOp+epQG0 yzjINUChvBRFhwdIdhk53B55tXfkoxNHPk7J9V5xA7S15ErS3aGMgrwZHdkk CZno9wU2RMMDyi2i5ocuVWiqNQ7U7ShWvUA1Hs58hQqRMNojwW+LemKikgvo Ij2VdwPK17ZXpdK7lFyQKZebcjCaxaA8GLk7XDV2bi5ffMkT7JxGOGQe9pFp YRv9KtVGRyfaKMmLax8nDyFWXNtMsG0zmZii7ILk+XEzSe1vITYruboyii4j dssR6nbIPCqY5fXDVeOh2nmMZGr5w4Oj6W7XVqHraLK01VmptjrGaytfVTK1 U5Ih10YTE200Tck1nFE0Q0VpDSYJ80/iCvuelLFKDqeJBtPYOa4k/KW/pjLQ jUGxJJksDF3UlKXVzkxvtUKVnn3JFvP1N0mVy7hQa80iLtSV/HvcapIoe4mF tifk89fIQWpRCg/W/lK5OZ/zRSTDqD+dSg5iLinFVElSiqkVL3K/g023W+ga IdtuoSvuNG0H6HY71pLm2syNXSHK6lRKpZKE+e0107bXbOIiYo7U81RpAn0i 7RTlpm/v2AOSfN1D3CbYZW6/o7z2c+AJdL6P80UtaXwkWZ0xFfNzbwq8Fjag Bi8+EVAQHWfJc7nqj3/ZWtDpmCPOtZ4jzrXeXGKekqu+pcYnKrNkkNdOpCaO XFW2R04iDt0byV86hhClu4ldkSrZZU6ZYcczDah+C/utm8lluJmLSKGf1jJs iKbclWrh0CUVWVpYz9n0WSczaTxBpc79JHO7uS2ciU+/dRcQFyuT15HODpUr Da1X8tqqkbfI6a3qWyJVfXOkRhBVN0VquMSNkaq8IVIV10eqnB5wvTBkt1kw 0CtiMgOITm5R83+mUqrqj0RJVU0KhIxG9yh35jB4hr1ZzW+mYIKckwkfcCer brB2kuqa3snp9CxgJ5tdRu3FxBKpvawSq7ZxD7RR4+6KGJjG3hWpsXdGqk7i jkiNIWpvj9To2yI1SuLWSPrK9BK9U0XvDLe9M4yeKZf8sD3DvKxwR6Tyr47U oCsjNWB7pPptjVSfLZHqtSlSPTZEqtsVkepyeaQ6rY1Uh8silbeSWKEnyOZM cLA7v/1v6E5nLkSvZKC8U7mEamGP/iLuUS3AvhsT1Sq3+eQUqyUd6uu8n0fJ zlxKLFPyaxlp9SPinqWmHZCyjkbO+NeU+3iZfB/HOeleWfSdeE+kJhD1d5sY T++Po+fH0ut19HotPT6aHh9Fj9fQ49X0+Ajb45XS4/R2OSpYhgoOuQ4lvDZS RddEqoAuH0yXD6TLB9Dl/ejy3nR5T7q8O13edR1dvoYuXx13ucpbRiwhFhIL iLnEbKusoanKQWmp7cylG/N9DpxZSppxf9wSw5RSVp3aoUXx5oEgSpQUVT+r fUGtV43FNAmAE1I/m0OdfwmxQg7gMJXK7vbtpBE7emParIfYPOtBXmY+yEHM eCCKfqqm3x+paf+M1FQCTtTkeyOhxDAifMDGeNgYBxtjYWMMbNQ6NuCiGi5G wMVwuKiEi2FwMRQuyuCiFC6KkYJCuMiHi0HbLBebkYONyMF6uEAGuiIDnZGB Dqsi1f5S+v8SYimxmLiYmE/MIS4kZhBTDB6HZsTDScU3wcMNvM4aipsyUtFC Qs5IlwohxNd9f8h1EuEsdCY6QlrvS0OSjEuJlcpMRCK9cIbdSklFp1gq5jUI NXMbIjX3kUjNMZGjLnpYFupmPxSpCyUeBKYHIjWTmAE/02FnGuxMhZvJcDMJ bibCTT3cjIebcXBTBzdj4KYWbkbBzUi4qYabqr2Gmwq4Kd9puUFLimGm8Cq4 QUsGwcwAtKQfWtIHLemFlnRHS7qiJZ3Qkg5oSfvMWqLyZhLTiEnEeGKMvdTr 4GYBJPEvlb62mQTIn8QmnZuzDrIEYyQmNPlqCqA2GqDvqtRYIxD544wvMckx xrnhTAD5Y4svLUl4ViuzBLBG86Lban8LkkDU1YLURi16XLYtfDxSCx+L1MWP SYsveFROHswHrnkWsLkPAxhxEVTNhqoLIWoWRM2AqOn3WaogajJETYKoiRBV D1HjIWosRNVBUy0j1GiIqoGmalRoBEQNh6YKVKgcmsqgqRQVKoamQlQoHxUa BE0DoKkfNPVGhXpCUzdo6gJNnaCpg9C03NK0yNI0j7iImEVM1yqk8iYQY4nR xvscmBGo76j0tbXkYnlzgPK9qEy2xLzcouKBK4ROFqr0wrv+YvQ9lTrP5TsY N3g1JU3JQcunyh+wkpKUJGotsY64XB+UnqUamWorw5mWqs5E91iulj8lrC17 KlLLnjSx9ElAW/KEnMZdDHyLHrMAPhqpBUCn4XPgAd1FQDcb6C4EullANwPg piNj04BuCtBNttBNALjxADcOCasDuDEANxoJqwG4aoAbgYQNB7gKgCtn2CsD uFKAKwa4QoAbDHADAa4/wPUFuF4Mez0Y9roBXGeA6whw7ZfbYW+RHfYccG7Y m0pMJMYRtcRIotIo2f4B8L6lnJL5C7qthc53zLeqfw9zvmN2Zsm5ZWeUfBVz w6Cb8mRizR/+fPUKcSbrdOuV/DxekNLn6Pa3zLmhUVStR8zcKrlGauUz8uel z0Tq0qcjteJpkbdLnpKLLZYLiE8AIrEEAhdD3yLoW0hcDH0LoG8+9M2FvjnQ dxH0zbb0zYS+GUIf5E2FvMmQNwm5mwB54yFvHHJXB3m1kDca8mogrxryqiCv EvKGQd5QyBsCeSWQVwR5BZA3GPIGQF4/yOsDeT0hrzvkdYG8Ti0hzwyeKq+G qCLKDX37BugzsiezueQphWwEvpqBQH/Odpcl8IaYwu+3jMLTUxR+X6Usu6PQ GTJHoYylTvFC46iz6G4M9Qn0x09f6UL0bSQ2KbPUbi7HMCDumyZ+3YheRN8Y yLXP0wtrnpNL1y57LlKrnzWxCjhXWkAvRSFXEJcA53LAXAaYSwFzMVAuAsqF xMWAuQAw5wHlXKCcA5SzgfJCoJwJlDOQxGlAORUoJwPlJCRxAlCOB8pxQFkH lLVAOQooRzL+jgDK4UBZAZTlQFkGlKW4uWKgLATKfKAcCJT9cXN9GX97Mf72 AMquQNkZKDs4Nxcaf2fY8deHcpSFchhRHLklpqbI9FcSkmS6lYTmkOlmkTJN uPHfRGZRgEpxeG4cbkoX3bQgRKQ/9vp6GKJxi5L7jkTRNhWZmbk60JLZ0ZPH 3kQ/O9/c8JI0wPoX5RrWK16I1OU21j0fqbVAukYCSC8TWIF0FZCufMqCCqSX AOlyIF0GpEuAdDGALgLQiwF0Aco530EKoLMB9EIAnQmgM1DOaQA6FUAnA+hE AJ0AoOMBdCyAjgHQ0QA6CkBHAugIAB2OQawA0HIAHQKgJUw3igC0AEAHAegA AO0HoL0BtCeAdmOK2pkpasdM0w3fIIZUUwAtJQZF7pLyTJDKaZjk5S7ufJBb mveXu9w8Nhukbi57kzILAwWG1NDNC7KQelqK1B8o4x5LPVLdXMQnVdxiNu10 c48Qpf6oHdJMn9DtxJXKnNG1jXuAxnV/LaSdAsgOtNhueUW6ZPPLcp35ppcj temlSG0kNrwYCcxqPQhfAcKXE+tAeO2zFmMQXg3Cq8B3JfheCr4rwHc5+C4D 36XguwR8F4HvQvBdAL7zwXce+M4B39ngeyH4zkRfZ4DvNPCdwqA/GXwnYjfr wXcc85s68K1lwB8NvjXMlkdca/FltlzOgF+GtpaCb/Fm8N3IwM+AP5ABvx8D fp/LwHcVAz/4dmHA78iA3z65wuLPlifb+c24DPjmE33MIJQTINjMhWTJPznv yUSxOwXyikqtxmSj+HZL8R6XRK2CWC/pRP9pIRYjUK7S5dbZUN8AhKTWnzw7 65kE2B/0M0msD/DVxA6bqdKmhmPnTMUM9CT6EP2JQZbjK1+TPtn+qjTLtlcj te2VSG3VbG95WSR580uWbZjeANPrn7dcw/Q6eF4Lz2vg+TJ4Xk2s8pi+BJ6X wfNSeF4Cz4vgeSE8L4Dn+fA8F57nwPNseL4QnmfC83SkeCo8T4HnSfA8AZ7H w/NYpHiM8LzL8FwNz1VIcSU8D4PnofA8BCkuRooLkeJ8pHggUtwfKe6DFPfC K3THK3SF505IcXu8QnvfK/gGVlZ/6u183U2fhmsTm+K5n5XkIMvHqeaZWf9k qc+yv7LoplQ+yzcrcxJc+rDIAB36gWgWoNuFgZalRje38oF2K0PiHXxFTvoG fx4VgjnkFzKBLGf1r1VyvzQzxxegD2jkcAXq7mfTwefQ0ecaqK95g77Z8XoU 5amrX4/U1a9F6iriSvjeLvGK5Rzd3gLbm2F7E7ERvjfA9nrYvgK2LyfWwfda xzdsr4LtlbC9ArYvge1lsL0UtpfA9iLYXogXXgDb82B7LmxfhM2YDduz0OkZ sD0NtqdiMybD9kRsRj06PQ6269DpWtgehc0YiU6PgOvh2IwKbMZQdHoIOl2C Thei0/no9EB0uj863Red7oVOd8dmdEWnO6HTHbAZ7ecHVjV9m1Gn16JUXrVe GlB5Q4mSmG2V1yMSXr6VhnPSXIRwdqsD7nxaJpzvy4BzyTfF+YfKLBUIypUZ UPaXopwuZzMWvvVNanJIj0MI71Tm8rGYZHfqLW2udjpd+We2daU7u2uac9TO N+VmW9e9Ganr3ojUtcQ1UL1DAqqvhuiriCshejtEb4PorcQWiN4M0ZsgeiNE byDWQ/QVEL0OotdC9BqIXg3Rq3AfKyF6BURfAtHLIHopRC9GqRdB9MUQPR+a 56HUc4RolPpCiJ4JzdNR6qnQPBmlnoRST4Do8Sj1WGgeg1KPRqlrdliiUeoK lLocpS5DqUtQ6iKUOh+lHoRS90ep+6LUvVDqHih1V5S6E0rdAaVu3xylFucx gqggyogiYjDRN7IqbQX6BNVYoLNZ5uS8zp0lbi7VcpKvyJwTag3Z0Y+U+RVs sS1LTgdVZwFbDIfvmEP67K8wNAV1Jl0WqOUivz3uWM1CxKGx7+jiwS3+ud+Z SPbfALyvkeq9b0dqj8RbkdotAeW73hTo35CfjV4H5NcS1wD6DiC/GsivIq4E 9O1Avg3ItwL5FmIzoG8S0IF8PZBfAeTrgHwtkK9BslcD+SogvxTIVwD5cgBf hmQvAfLFQL4QyV4A5POBfC6SfRGQz0ayZwH5DCR7GpBPudFCjmSP320hR7JH I9k1AF6NZFch2RVIdjmSXYZklyDZRUh2PpI9CMnuj2T3RbJ7AXgPJLsrkt0J ye6IZLf3Jds/dZCUbN+OFBIDDeB53awt0cuT0Ukq/UII/wxnJi8Smh26CyLk RLg7UeUW2Jy33muRkH6VpYgCg3vo5npZcP9Zui8ZYlmXs1ajA6w7c530Ik7A fR/ir1uEOE/6j6Rw+5xfr+yqYmROOxyYtgTc3QNejHYBUUwMaecmQTe+Izde vAHwr7ex9y2TBHtIgN1I/C5iJ+RfB/nXEtdA/w7Ivxryr4L8KyF/O9Rvhfot UL8Z6jcRG6B+PdRfAfXrkPa1kH8Z5K+G/FVQfynSvgLyl0P+UqhfgrQvgvyL oX4+0j4P6ucg7bOhfhbSPgPqpyPtU6F+MtI+EWmvh/pxSHsd0j4aaa+B+mqo r0LaK5H2cqS9DGkvQdqLkPYCpH0Q0t4f6vtiVHoto42Q9q5Q3wlp7wj17f0F u0zSXuVJe7ExK5r6XvzdhfiHbl+zyHyKSl+2a2pVxDcuoTmluwhEzvLfq1JL eEn2ZWFDrHSBMqdhM+IfWvEzav9fyqi9rOq5KaacWRsboF+ceHJaKfQnrYvv wJ37DpGfTd0d9Tfaw75Z07yvzoCD0iTfz4CBiQwY1s76mlvejaKu6uZ3I3Xz O5G6ibiRRJCkuIFEuJ5E2EvsIRF2kwi7SIKdxHUkwrUkwjUkwtUkwlUkwpUk wnYSYRuJsIUk2Iz8byIRNpAI60mEy0mEdSTCWpLgsgaTCCslEUiCS5D/ZZII JMFi5H8hSbAA+Z9HEsxB/i8iCS5E/meSBNOR/6kkwWTkfyLyX08SjCMJ6pD/ WuS/Bn9TTRJUkQSVJEE5SVBGEpSQBEUkQQFJMAh/0x9/0xf570USdMffdLmY psPfdHDXrmRaWRnlOXZP/nUS9DWuPa8TcYERGrOofapq/iiQXCMUw+Mui3M2 3q2w+NlwZ4ZsEHSHWpQLWpUM37fJIEOBTE1lwbBONbY8LhGcj/ftTqYhwJ+C ZkqCkPTrBJBR6mY9W5FT6/pMZ7SPzoVvxbnge/tQLpTbZZg73peEuP29KOqm bnsvUreRFLcSt7xjk4OkuImkuJG4gaS4nqTYS1LsISF2S2KQFNeRFNeSFNeQ FDtIiqtJiitJiu0kxTaSYgtJsZmk2ERSbCAhriAhLn/MJMUaEmI1CbGKkeFS kmIFCbGckWEpCbGYkWERSXExI8N8kmLubTYpGBlmkhDTGRmmkhCTSYiJjAz1 +KFxJEQdCVFLQtQwMlTjh6rwQ5X4oXL8UBl+qAQ/VIQfyscPDSIh+pMQffBD vfBD3UmILvihTiRE+6QfSk5hR3rLjXZk0AnRn797E8yl8joQf9NtbX6J/l3V +KROcnRoyhllmgTISs09KnUC/EZLj8sJmZFWWqIlL/KDty7Okhjm90A/Vqk5 wTBbrFx7IavokzMkhpsHhLyRPzr46zLJpEj6odCo4DJCJEEMor6iybve8KC0 Rcm+GUaJ4TY77v6Ar91FinRXd5Icd9i4nQS5jeS4lbiFBLn5LZskJMgNJMj1 JMhekmMPybGb2EWC7CRBriVBriFBdpAgV5EgV5Ic20mOrSTHFpJjEyPGRhJk PQlyBcmxjhFjLQlyGcmxiuRYyYixguRYzoixjARZQnIsYsS4mOSYT3LMJTnm kByzGTFmkRwzSI5p2KYpJMdEkqOeEWMctqkO21RLcowiOapJjiqSo5LkKCc5 ykiOEpKjiOTIxzYNxDb1Jzn6kBw9sU3dSI4u2KaOJEd7/zRSthmxXePRyTEw So0YnWPrpO7+nVuj90cN3z8lR42Qh3Kjhu+hQvOHuy0atwSyRKa2MsUdJtUp bXWGiA2TGXOVSs2W5RzTtAzZ4WYOSe/kDxlbVeOlntBw0dzMEKG4K86Q6OC0 s08uQQYQ+YEEGWmT5L4P6bh7PxCXeM/7dCRx13sm7iRR7iBuJ1FuI1FuJUlu IW4mUW4iUW4kUW4gUa4nSfaQJLtJkl0kyU6S5FqS5BqSZAejyFUkypUkyjYS ZSuJspkk2USSbGAUWU+SXE6SrGUUWUOSrCZJVjKKXEqSXEKSLCNJlpAki0iS hdiqBSTJPGzVHJJkNkkyC1s1gySZRpJMwVZNJEnqSZJxJEkdSVJLktRgq6qx VVXYqgqSpJwkGUKSlJAkhSRJPkkykLlFP5KkN0nSk7lFN5KkM3OLjiRJ+9Dc wtmqEem2SifJILsY2ssbRf5uE+VP+kSLCtuq5CQjOYy4SYYbRrJZKzfJvtnS tNvSdpVNlNEqZbMKWz+UyDAio5L4K5loyIUsciJWlvwvCiSJP8FoavhoSYJk Sg7Rintsk5jfYEUnp805etjTWy5RilyinJZKlNE2WR74KFL3fxipf0p8QPIQ 95Ixkjn3kDF3ky13EXeSMXeQMbeTLbeRLbcSN5MxN5ExN76mLzwUidlOMmxj 1NhCMmwmGTY+ahLiCpJh3UMmIS4jGVYxalxKMlyCpVpOMizFUi0mGRYyaiwg GeaRDHOwVLNJhlkkwwws1TSSYTLJMJFkqCcZxpEMdcwxRpMMNSRDNckwnDlG BXOMoSTDEJKhmGQoJBkGkwwDmGP0Ixl6kww9mGN0JRk6M8fo4JKhqTnGEJsM so7qLFV3O8/4H+I806QPanuVyU9lW2lKjhZutSmTp7rNknK9pUmMyZU2GYTc UZZkucwgP/g8iSwJYX4//BNlvJWMHDIIOV81RaXOgc3LkBC+n/JHDDfJSHop f3LhJ0O2kcJPhvts87isOEGfVXCz8N72hO9gsqCIGEKUnw4yZ4AO/x99mum+ hz8myIqHiAclyIwHyIr7iX+SFfcR95IZ95AVd5MVdxF3khl3kBl59qw6A1CZ vAzVdeFPNYQoJUpkc7H9VDRIbZVEIUk2kSQbGDWuIEkuJ0nWkiSXkSSrGDUu JUlWMGosJ0mWkiSLSZKFJMkCrNU8kmQOSTKbJJlFkswgSaaRJJNJkokkST3z jnEkyRiSZDRJUkOSjCBJhpMkw5iIDyVJSkmSYpKkgCQZRJIMYCLelyTpRZJ0 J0m6kCSdSJL22SbiwxNJIqfPBkT6cofYWuUR5xN/MC39kLZaITvV1JJUctLh RouQpbpVpSbjkiQiwdttktRbooVsWV/Kb3WOFNpUk5Rzzmq6lx8XJ/LDzTcy OarQYNGS3Ajlxf22dcydffSPSqOjG10l2Y88GEQUkhOlp9sc+QU5ciYE8f+6 M0zvPfoJQa40EI98ZHLmYXLlIfLkQeIB8uT+92Q3kfv96UiBv1peRshLlV4z G05ZlUQFMYwoJ4aajNFXYkfR/6ip0DyZWfREaK6H5rHQPAaaR0PzSGgeAc2V 0DxsNRMGaC6F5iJozofmQdDcH5r7QHNPaO4GzZ2huWNTNA9L0OxPFGSNtb3x QHl/Jn5rtaNj5JGczfck5V58jz85ELkPeZ/kBEE0dJulWea6cuWt+CBZICpu Nc2lNidkeUnsj5sjzFWp9VU3exaS/bmBb3uS8wKn8mnLRyqz3WmKYmkhc0ew HE3zUY0mDPrMg0fz0J9Dyi+h+VdMN38NzcT4c0zvPQHRj0tA9GPEoxDd8JFe y7LLJVHDsanYv+EYtjYczWyl4Tvg3fBteTlKXo6UlyPk5XCZzDQcRumdiA5E +8iME+beyeepUfA7En6r4LcSfstXwjD8lsBvIfzmw+9A+O0Hv73htwf8doXf TliW9kl+Ryf4LbP8Fnj89rT8djDLo3l/IX5nWuDWbuRyl0iFl35ao8Qhu5L0 7lstv9MsbWJdZA1naOssy++UEfPRNh2cVZEJ7oIEvM6mCLxJz+5bFF+CnVf3 J7KtBfcR21yRvpVCe3shhG/i9XIQ4Jb83MBbAbwjBN6zkUC6bTzTr4l/Nd33 9KeReuqTqOHHp4FXw6FkRYOA1nAcDAuxbWNiczMRmyPE5gqwugD+NH2TumhR Lpovh88h8FkMnwVY6sHwOQA++8JnL/jsDp9d4LPjpCb0tbl84hjyfmPq8UoR WdktUo2X6h2bLdHWbE7B2ekt9vhnWpjqLVwy3hcEn+/WJKNy5/Iqi7pvFWRu uagJPkMWwbfPvrA6e+DYzGSZM3EpzSWzj8d1Ezg+OyctNVwWYQ2GnMUQ/N/Y BYbDkXTZaIbGscyG6jF6k/XQiGjGVDUcbwLSjhdAjxM2j5UXR2kboTQnndKc WFdzhNIDpDxdXHRuw1EnghMoDppLvUCxzywGAVDsBoqdQbFDc1DMT6Doljtk hkee5f2RONug+E4VOJYimfoCJYdhUzM6t0qeTSZvsRqzx/atM62bLYqzLTPC jgzSMliXhNTylMwkmlsdyS3kxbzWWLBlpUNOp8pQL5O6pS0g0T9V6oxqcnj3 J2+tofAJ24Lm4sdODO1doa8n9PXFoA5EGQsQimIILEMdK+itKgSkBqNWy/Rj HHP1CYjHlN66BwUeoUiYEriEMsHNcKdxPUHQPF5YPE4E9FihrbGK5mTi88AU n2c3HHkCezo+ajhc4jgkEiY71jdzMjXQTqYyMYmJyTvTcPkeNuCVoVEGHpPL bf55fbfK4GxnUhqvV6mh21nPTZZJIWaWJchJZHlwCG8SSnm0gAzhYyzicvm4 G77dLMpduSUrDM53OiCbGrb9IdtfSWgtjNKET+tm6Mjw3AUZ7A6IvZCJfoA4 CBAL6aJSQCxHDivptmpmD6OYE9chHeOBcVL/SE0dbKA8ygAohKk6YhxRT0y0 o/D+DScKlCcIj47MNjGZuYHxPScmMzW+HxSTmSMwRmc1HHYsCXGMjaMzrAQP TszruyRQ/INF8SyD4r+Q3vfqIvVSeeRhGFr1dSO0k8aHVGou76TRnwGJwOxU 6aP0BouicHKR5cZJZFWrSJRf6shcapxKSaPM590g7ebyLaFQau8bx6Rp9A1j VgK1H3tSX9zmCJSWfNa2KgMfPdHjXAZCemXAefQgPVSMFA5BCochhVUIyUgE pZbeHEuv1iM0k/FX04aY3mOaLpN2NYqozUDjvg0nCY0nCo0nCIjHC1bZkEyI ZU4slgfHnpUvC42HpWjMaTj0O/LC99ulL8P6JLZPeMazDYl5p5vj+WxmpN5F bB/uHwUozDRAu2VXNw8PCaKbi7tBer0lcZHlZbZKCWNNq0mUWdFEldJDt6rk BmiZh7vV1i0BCv2B2VGYtIduUE5OWbJqoCbxaU2iT+DztnUhEQ3shR3sB4ED 6aECeqoEAocyGFf2gjTsVg0E1tKrYwshDL2ZxBA2tSJSM6qaplFf5NNwspB4 kvx1oiDkcNQKmZsVx5z0GVASxzMdhkKhiW8TR2lRbDj0SP4+Iko/I+CWh0i7 vN83RvFLpk6fzY7U2+MjD8OkTwyNy27KkpxSO68one2m1SJHl1sUl1pgZJyW qYwIowywhcEpTLN4lPPIMiNyqihTazc2O7Pos3hVBhaTUxXfIIbG4ybHYs3j s/r2Uj6HL9qmZnymW3ozFvdnajKYqUkhSliKigxFTSpRhxGD4JFZaW0xPKKG 9YxfkxgLp2LPZowyXVhFVBM1xGhiDDGWGE9MMEzmNJwiCnmyIHmSgJjGZW4m LnMyjdyay0NSXO6bYrExjyKXfOfHDYceFunrGuTCH71c+XsznRa/mGeXc7++ PFKfM63/ZE6kwnMWn8Vsg3MmWXQD9DrL43ILjAzWTh5lmB3aKhzPt9+WWZGT Rjd3cTZR9i7ivK0ZKCYHZmcNnST6g3I2SxiSQ4ehuPFXdGv0QBL7oBj9sYSD kcRCBuVSJHEokljJoDyCQbkGSaxlljqW2Wo9M4RJI8ERpz+jzvRgZfOQbCtI 7iNItmkmkjkBqUyYyXQkG6MoIAqGgiSf/FHDoYfw74PB71wPRSuN6mrkcSM4 Xhqp92dHzcAw0+icTRZlnFxjURQXJ25OJrwijzK+ymWVw1uNonxbRHa+hVwu wHQjtPOJbpHRTZ2zYejPUJLe0KnhN0FQXPlrBkXcfB+8VH8QHIwaFvYDRdRw KGpYgRqOQA1rUMNa1HAsM4T6GlCsBcWxkZpeb3pwWDNw1MtApwqKp9ihO8Vj boDHnIBEZnSSh3o8Gg6PSONQKBQGhceDo+iHDYd+i38fZIfon1sOb0EWd8Hi FmRxRZRg0J2UTzLopsxuaHZzFZkBuGlzUg5XWw5XWVKWWHJkXJWzOiOzcBj6 AbdZZPyb/baI68UqNV+5TKVc4laPwWttLbMx6LtD3xn6o/E34U9miG8YDhmR +8Bgf2Rw8EA4RAZLkcGhyGAFzrAKZ1iDM6xFBscig+ORwYl4+ykT4HCS6cGh zWcRDk+14tgmAGNuQBxzmjleH2bWPFMc6jdEDds6DoVCx6C8dyD92nDoAZbD e4hbib2GxXcvjjwGk8uIjkF/KVEY9IfkHbbXfS1ca/mTsteodE2UAVXOztRm s4qZQZSblsvoLtLqxNBNmjeo9KmKg3BPExAmx2LfEjoR/CYAyqrZWwZEIOwD hP2BcDAiWIgIliCCQxHBCkSwChEciQiOBsI6IByPo584EcCAsQhIexS1GMbc hu8KHKcKgWlA5sajdW4mdcw+WnsTG029flqrui9KU0Yh8BDZj0elMJkjSEb/ YaB8iLiXuM2A+enlkUoNzG7a7K8jhjxicnCWIXGzSgnjZRbESKWE8hJLkUw4 ZIgd12omZZgXmV1q97LGpoIbnJ1H3KlSizc+jyFv6A/Kvi/0BbG1LMpJ2HcM kwzKveGxP6I4CB4L4bEEHsvgcRg8DkcUq+Fx1BjD4ThEccJkWIPNMljtX26Y HNJMLrU+fleQyMBkc0UyI5N6OdKcZEfvTOTLE43vln2ru6IopJU5jbB8gniY uM9q5s5IpcZpfwrtT1uSfjE0Vm9UKc+40mIYJbaJXspIK+P2hFZheYEyi+hS ikyQVlnwk2O184tuPdGXyBCSyamKG6N9eWwtjnIO9j3dGt1BsjdI9kPyBjFO F4BZMRJYxjhdDpKVzJxH4BVr8Iq1eMWxjNP1U4hpoAemhSMNliUtQxMC/kP0 sjGguZlG8ZwWA6rPNOofkkXqTi/oQ7T0Dv3e7fz7tigwmhtEv2cQfZV4gXiK eMSo6Nc3RirdSvqrPNkQTQ7l61VKKVdYJCMLkK+gsjApw/rk1g3p8stM8ZWL 7W6cdLrptT+U7w0wmhzGkz4yOYQnJbNFfOqx7j39Q9j3DaeDI9ULRvvC6EC8 ZD6MFsPokGqYg9EKGK1iKB+JXI5GOuuQznEwOmEm3E6FZVgdMal1rLYRVttk YjUkpi1ndd94gM8RJnMEymh/3Y38hS5GzG0idTNxY5Q2xFO6R+obltYXLa2M +V/dHqmw2XSUuvVIN+lJGk43vsvioIzvIpxuLShSqeVzMaQyKsvoLGP91NaR Kr+en2uLWWmLdaZTquQP8Deo1Jp4cyl1A7tvMpMq2lxCv2cJlSuvPtTN0a0w Uj1LILUsUgOGYUCHYyqhtJRBvAxKh0HpcGisRk1HQeQY6Bw7A0W9EBM6G/rk 74sMqUUtp7XhexmIzQ0M/zlZLWl2YtvaOVJk0bxFm4Fb3Pxd3WRQVTcQ1xO7 I09d05h9i3ideMVyiyH48r6oFbwm/ajwKjInQ/IKC9RCy6xwvdF+ZrXlWdY1 Z7SOWVlbn2+LWW2Ldab0apU++t+kUuvm2XhNGtHQqB9S1Eysfj/BqlwxKFe9 fqKbpCeGtA+jf394HVxtRvYSDOmQOqOelfA6gklSDaN/7XQUdhaTH3idOJcZ /IJITVtomM0nClvArZ48fS8LsyGVzWkdszmxyrYVNnMEzmg/3Z17qcoeYhdx HbEjihXWwPp9A+t7xDvEm8RrxMvEc5H64pGoGbC62bybPCWd6lpLj5vJu8X2 SKWfp1xjgRaYZ7aK1x/bki+xpa1XjfXVdwHuHE9zWHUONdPo3xxn2ohT6bVP 9C87P9UN0gMT0BsT0A8TMAhU8zEBRcydSjGqQ0G1AlSrMAEjMQGjkNQxyOu4 ORiC+ZGadHGkpi6K1PQl6cgWR+YnH5mQdacxtcI2Rja3Jcg21xhYhd1rgn/t FW73yMtuPc+SvhVgryWuJrZFqXlWGrkfWHrfNjbha2zC15jaz56IVGod3q0/ OeOajVrfvPq2QNZC3WnLSKXW8Ddawldasme1itwfWe4vVal5VlJlnStIzq+y OYIktc4NNKmu2Yn9viVWfjDzmW6Q7piCXohsX0R2ANQOxhQUIrIlMtPHug6D 2uGYgmpEtgaRrcUMjJ2HKUBkJyKyUxYjtssMuQOJwQl65cdL8pMM+XmG/FQj eRJeTML3GxGcGxOcsrY534Bgc0WdJUCcwS6Bd6e2Bw7Xa8xkTF1lsFUb9Ndi bn+gv/3++5H6/APL77swi134GuX9HHY/1uxm4tZZg2tUal0gOely3IoOOnsw 39ba2YrtKnVafrX93IWtswlCwyK7Szf5cpLrT7x8e+Av3vvrVCFwfRvrwA1J bSNoBdaP9FzZOYIYWj1gfq5vO4G7RXJ7Irl9kNz+uINBgFuAOyhGcofgZstx B5WAO4J510hxs7iDOiR3HJI7AXAnLUV6lxsu+hEDLMAFntv1AQ65BrN+kIZw biYRbi3CSmvrNfLXDnm5Wv/7SguqdCywqlWRNgj7eLh+IJh+THwIpqD7FWbh c+T2E5ztu49FKmUKWoqq72SXWY5kCJ9jcXUXwIvcbrHfE7xFkme3fs1gsaV+ va2SWydI6qzvDlqCaiZX0KS+ZuBUUkx+xvulbpYuCG0PhLY3s69+CO1A7EE+ QluEPSiF1aHYgwpYrcIeVGMPRiG0YxDasdiDeuzBRIR2yiUI7qXpzA6ytqGp GZoTXq1s329kdXNbh2zqjIE5h6WczO4jWpojnGJrt1tatxJbiE3E+sie5T9Q lhwOiPQ9RyP1GsbgM6j9SgJyv4DczyD3E8j9AKF99aFIpU6OuvMAyblXktrk /MtZWmcOLrT19n8aJ9+XuZsYBRHli1oFrhzVEsu/lLbN1tLZWjcFy2QOQksF TUEbMgUZgc3RxIq3+9zxqvn9yk6KO6Ox3dDYXmhsXzR2ABo7GHNQiDkowRyU YWmHYQ4qMQcj0NgaNHY0GlsHt+PQ2Alo7KQVaO1KA0cvoi/RvwWmwWlu5OBN 6G0IXm16c9LhzQnAa/RWaTuwVf7aopHdbDHdaFFd50T2II2tQfY/9RG9+RGC Snz+CcH/PwPbT8H4Y7D9EGzffj5SKZH1kXWLsCEvmw1ZWdKSa5RnWmyvVynR dR5hnf3enG8muGtscdtt8ZnE1vkCfxrmFmGTZjbJbNLINktkA8BKrsnddpSN SHVFbHsgtn0Q2/6I7SDEtgCxLUZshyC2QxHbCsCtQmyrEdtRuNpazMFYwB2P 2E5EbCevQnQvM/D2JPokxNc3DCHxda5Xz9XShDc7u+Yyff1Lp+NsyK9HGy8y JJR3P2GW1w2W3CuIyy3BlxGXetMyd2XBAZHmuY1+/ZEu6qN/QTVEf/JppP7F /z+F7I8h+yPIfp+Z2zuvR+qlJyOVPjvbqdJPLWxTjWdoPtVulrbQo1rOYU2z h+NOWbjfe0pZYldlzjX3GxnftbZWUsvr7F7cGoMTY7e+4BxEEmq3BtYU1CHn 0AhoYxraqJRpkJvifG1utWZmzp2ZpHUfg4aCc1987gB87mBwLsTnloBzGT53 GN6hEpxHoME1aPBovEMd3mEcONeD8yRwnmJx7kr0aKEm+57CIa3lODcr0uZM mibakqx12LCsf7LynSjtYhjNcq6m9nITTAoulzfWaa1ey8Y1xGqDtFomP8ey 58301I2m9NiWMLctMHh/8jniDOIfg/dHeI0PPzKO+T3wfpuJ3WuvOGH1/YVz xT7aG5uBtkzk5li0p1u0/Ts97lQpzyFlyaxsdqvw/p7dm+C92Zbqe42kZod8 hjtpllx8SKKdNMVNGeJcn23zzC3r+joBdlfA7oG56IO56AfYAzEX+YBdhLko BeyhmIsKzMVwwK5Go2vQ6FrMRR3mYjzmYsJq4F6D0Vhn4O5CdM+g2b5hzmQ6 ZHXiB77fSACur882axQCuAttms3vWbR2H2N+jZXC2/vNgNKIrxZULxOyV8vL Kq3egvQKg7VayNcPB+3DDwLxA72VYAOA/PzbPBQ0hfeHgvdnJj5Avd8H8fdA /B0Qf+td8MaXPPucHKSv2v66mjvd1hK8xUbLhTFTLOLukp0bVMqfSNqIEV6Z 5ZcsIbzNTbZOtWhL4u2wpUqS3mz3llTtTFbErQT7SxMhrJuwzbJMEbsQG19b ss0svAO2uTO2uTvuoxdk98U2D4DswdjmQtxHCe5jCGSX4z4qcR9VkD0SskdB 9hjIHgvZ9ZA9EbInW7LlNhCdrHx3t/LtCHfyncmVWMLdJVxCs8CsQ/7+D41p Gu3m8kahPWbdwq1P2JlftmrOHevfjizmkb7AVv9E9ogoJerLqcQlJmisFfKG /HmAfkOIX2KoVxfJb2uh/gji8AM1/arjafYeTen0m7t4/JduoPc/N/Ee9L/7 qfExb5MBb+Ff3mBC+SrO/IVX3VKFE/bk5NGdvLtCpVbomkO/XK440WaAu6Lc 3XdFsuxKm1Urs/3ANXMKnGKrs9VWebdKrdTJ7jIpe1P4+zPHTPinFF1PGKU/ v9B/xnbFwv8zffxyT5FOwN8V+HtgvXvjVfphvQfiVfKBvwj4S/EqQ4F/GPAP x6uMwKvU4FVG41Xq8Crj8Cr1a5H2y/Et600C5EXmfiidEx6mT8LDhJLAl3mR eOdKTrRonxw5ad/XTwr9/1Ps546P/LlkyMOQFEfZcWaQrVTfKFb8xYL9EmGW v6KD1CKL+wKL/LeZZBaexVd/SXudwbH9nDn4aebmCR3aNYn/O6D/Dui/jb95 C/TfJN5A/F9D/F9G/J9/M1KPPB2plFVPeppNKnXeeq1KLU43B335bdh4i3/o /u7/BvzXWvyvsVnlGxu3gOKrf8jUuGsrMqGfNDRpE0+tZF9o8M3UU/6Mp572 luH6DlSqA169M/x3g/+e8N8XSzMA/gdjaQrw6sXwPwRLU45Xr4D/Kvivhv9R 8F8L/3XwPx7+J8D/JMO/vi+WPB+kFSngOR2jxt9RU/nnFGJyZH6ZKz/2kd9F jovMtRxyblxO18jqYY11/jIDqLRDir3jlt5FkQf9AAd8jponf80Xn7NA/slf 0cGyUc01xKsLiWlSrTMpD+KLT6ec08x9KPvYW4Z0NrcQMfd3befTr0MvxUD+ m5D/hgT0vw75ryL8ryD8L+Lsn2Pi2vBCpFJOPpPdccsvq1XqtMyyZpBfb8lP PsRGTMpOuz/JrkuzwB96uk27GP41trbXqpSrd2do3JJ3c3T/tdaAr2LB19zL y9fmMSnf0Qcud4OV21J0hfYe0N4b2vtB+0BoHwzthdBeAu1l0F4O7ZXQXgXt I6F9FLSPgfax0D4e2idA++SNdtVPI3+Ytj4dPeyzGXw3g01YIMv9YfqCecd4 nWV8tMf4CDtKuLvLBTg3Fx1Tu5n8e5bhmPIvlLnqbPsXiSrvzLCES4aN/m9z FzG5m5jcmKkE2gtOMzds6mtv4NTF3jCnvSO+bRrxeq38c9nFa5/JQuSr0P4K VudlaH8R2p/H5jyDzXlU2xzf2iQ13tkbZ+4vVamTkG7BMRvtdZb45B3bnem/ 2u7rkmx6nx35VQnkJaGSVsetzyS13r+Ozrn85EJjVtwFdq3oYdrbQ3tnaO8G 7T2hvQ+094f2QdCeD+1F0F4K7WXQPgzaKzH1IzD1IzH1ozH1YzD1Y6G9Hton WtrberR3sMTLdLabpb131Hi9xgm9v2YzNKb9gDT1DpFdZr7X1gItmE4ygwJF TJEpKeNEdLgeKSbZEWLyb8nSc6g/PI8+y9znUe73WG7vmFd4mnl2Tz97f8iu 9g57MG0e8vCzmGlpzldQ7ZclYPkl4kV4fgEFfx7v8ize5Sm8y6NvuAs5fL+S VG7nWXy7LjwvUukL6CGexypz/xnZj/9kDmfjdzumg7eJzsKzfv6pfmqaY1kG BbfeeI9K9y1J6c7kWdxs1a0tZvErCacu2vX1/hrnYw3O8jAIrEpHcO4Czt3B uRc49wXnAeA8aD6YgXMxOA8B56HMUSvAeTg4V4NzDTiPBue6KxBWcK4H54mb Td9+QRlfXGjIzhGwMQCdPKx7JLD2hTzhYQ6wiI6yel2rER2jt9VZPR+n/yWv R8c672Ks9TQXQe8s6J1+NiSjxhOIsWeZO5WOPMPc3VeTfFpjkru1i934vh7J cqQvQvALEhD8PAQ/D8HPocrPQPFTUPwEPqQBB363Pi20TaV7j6QiO//hTgEt Uanz7f6CeTaKk08bc47ckbyx9SRvSZDsHLhvQmTtJanImQxIkuJPVNJ8CMlf apI1xZpkLczmoYTHpJHcHpI7QXJXJp09ILk3FPaD5AGQPBiSCyG5BJKHQHI5 JFdAchUkV0NyDSTXQnIdJI+D5HpInrTVXvShPq2Xwf/jCZH6kH28P0mH0e3v pBnz5AKN0+wQ3KVRyqS7uaq3aKPveqtvgNtWZJxjHekJutjxJb9hIokYz/s1 eCPGszAY04jJoFyP0RhL1IL0SHs793J7e3e5zftge0e+3p7dBm/7cDbD93Mw /ayNZ2D7Gdh+GrafxHE8DtuPotAPvRWpO19wVzYL10mn4atz0m04by1n5Wer 1Iq5LCnKosp4j+2Rlu/Q032F7z2W7/Wt53uTx/etqrHJdmuLwrcz2NncRujs T7rT0GQn5pPmCbLmV2r6qT0g1wGsO4F115nmvq6955j7vA682Nz3tWiJuQ9s 2QpzX1i5P2wV7roadz0Kv1EL1nVgPQ6sJxis1QfVYEy8NzJS79RE6q1RBP9/ k3iDba8Tr1UxpapksB4maw5865BGptzpeS9P0505T6BPGdj06LuxdXGG3d7w XP9bUuRyxHoNQr0KsldA9jKIXgzJF0PyPEi9iJhJTCMmE/XEWPuwAnlogdA+ LEG7m1wm7LZV9Ha6SQSLp+TeqOb+qOpJ4gm5yS/EN+CxH4b4B4T4lyOV7qtD XkRo99dQnB9x/lqInxkgvs4jvspS7z/iQsyDmIibPerXtRp6qfU1AeiTNlus ib+c4gu6b0ucvfbPCfmr5l8ZAT9MU97DUD7O3v11srnbdueZ5u7bPeeYu3HL Xbnl7txyl265W3fJJebu3eXMISuhvArKq6F8FJTXQnkdlI+H8gnb7EJBKUQT rw+B5jKC/79MvMS2F4kXihm4Cxi48xG7wYjcQLp+AF3fj67vS9f3idQjvRG7 XnR/j0j9s3uk7u3KoN4ZFDpF6vYOkbolL1I3/U+kbvh7pPb+LVK7/hqp686L 1I4/ReqqP0Rq2+8itQWsN+JBrkC41+I9LsN7rESwLyGWgvgiEF8A4nNBc7aH +CSLeF0GxOUBN/kW8b72ftZdLeIdfAduKH/iU0O63ML6sU9St7B+BMofhvIH oPw+PMttmvIQ4Umv4hy303Tfr1xoKZeT/JOboDz5xKN7k6SHnoeXhfLT9as8 jHtHgvB/qsbmWyxLcs3ESbq/Rp403T7dX0dHarC7Kzdl1I/NwTG0l9sczzAP SZCHJchDE+ThCf0XmocpyEMVii4xD1koA+xhgF0J2FWAPRKwRwF27WZzS/vx gD3hSgP3y/2BGFhfIJ7n7+eIZwH3GeJp4H0KcJ8E3Md70tOA2wC4D3cBZuB9 AHj/2ZHeBuB72kfqrn9E6o4L6HkgvuX8SN34l0hd/+dI7QHiXX8E6N9H6hpA vgqQt6PPW3Afm9Do9cQ6gF4D0KsAeAXQLSOWAPRCXMh8ts3h3xcSM4ipFurx HtTVzYS6i51WdmgXPx9NjywNn0TRT3XvP/Jx6iED7gED98kDOORRNC9FCZ6T 3tt5FN9/O9X2fYrz4ML0hAxMD7Nc+8+7c1zfabkWX769VVzLPE7mxnsDXCet eNKqhFQ7acFjxdaCbbjuqnxbIk/Dac+8sdMs+gW33X0uXOO2+8L0gMVwvRSu 5RELMF0K02UwPQymK9eZh4uM3ADXm+AapsfC9HjL9LMw+gzxNJw+BadPEk/A 6uPEY/DaAK+PwOvDiO6DxAMI7z9h9j6E9x64vQvxvRN2b0eAb4Xdm2H3Rti9 /lxYht2diPC1iPAO+L0KdrfD7lZ8xib43YAQX06sJVbD7aWwdgmxlFhILGhn BFo8yCxiOjGFmOjxPMrjeTr1GHFWmOfuIZ6jn+s2eOjjVMjjZaT/H/gw9XiZ e+WxMvKgJXmwpXbgmRTaJzqk0m6tz/cibmY5Tpl7/8njSqoTVD9rddN/6lCS 7K3B5/k2ibZM7MReiejLTPNui7abZTpD4tZKkjNM34H7ZsR339Z3G67Nzwx8 IyJPk+2AEekE110xIt3huhd2uy9cD4DrwcwiC7DbxdjtUuz2UHmsiDxeRB4z Io8bgetRcF0rjyHZDhtXGbYfR2Mfg9dH0dkG4hG4fRhuH4TbB+D2n+eJmt37 5wiPdg/s3gW7d2Igbkd3b4Xfm+H3JrT3BvjdC7u7fwXP8HUt/O6A3yvhdhua uwXt3QS/G2DrCmItcRmxsl1Knxdbpue3S+mz76snEOOIMZbp2WJoyslN2uB9 ju12cn8x403JWYZpt1jSxZtRGqbN/Tru/yiOHHmSWPQT3ff32meIyROS5Llh t7wuTXVFAGd/EpkNZ1+kk8ZDJpRyP0q5kbk8Jb3SIl2WwNo9oUKwvs/DeleQ 2yxI/1y/yiLyLouzKPX9KjWp9P21cx/+hLJJlTYoH6VRPk4lrYd+aBnWo4M8 nwnr0RXr0QPr0Vue3yTPcQLlwaBcAMrFoFwqz3uS5z7J85/kOVCgPHKzeeym PH5zLCiPv9otjjwIqmepB0D1flC9D1TvRWrvAde7wfVOcL0Dub0dZG8F2VuQ 3JvA9gaQuR5k9+B9dxHX/dIiTFzJ39tAeQsobwLlDacZhNdZhFdZhJeLxSAW WVl2U0Mny85muOlhLVFDjBDcSb1rmd0+TFvcQ4pfUwfechex09MxttLcxnMa 98hzI+/5QJZJ7kaM73rfiLM8L1KeFSnPiLxen4jxlz+SYpy0zL7F8G2zCLJb 6hObIYLsbIZPcLkluNRSLMroHguXpFiWS65rHcVHK+Olb1Ypv+FTnM1rhPyz E+R4ofo7muHjDcNjrCSL1ZBHtcojW7EaHeivTliNrvKAPnlQH3LUVx7cJw/w w2oUyAP9sBqlWI2h2Odh681zlEfA8EgYHrXNPGe5zjCs7j1HOvTsKPqlugtE 7wTRO0D0dpT1NuIWUL0ZJG8CyRuI68FyD1juJnYS1xI7iKvPsOor6BKb+HsD 268AqXWnpdD1HYUo8MWeAvvTvskJV+GmflVEhbgQXNAmprO7aaJ1Q/k309Qx F6QvWdtVjjaeCN8Js3e+ryNHP0a7XerZwO8alG960zwLeKd2y2tUak2jJQj7 K3rOKYsIuxVr5yucW65Q5pGc8pTnEouxe5J6CGWZGcp5x6tbSPIZ+vXbNhHu TFDszwRD6xzJNQ5fhzXBx2iCO6h4aTqhwvK4enlsfScMRVcMRQ9UuPdS83j7 Aajw4JXmsffFqHCpPKISFR6GClfKc1wZdEdC7yjorZXnvO4wBN8OoredZXE9 0+IKfjeC3w3gtxf89hC7wGEncS1xDXE1cRWxndjK+5v57MafW2yJdfz7stPT sfWNQ9IM+5O7pHlwhljQHSqfwRgvZoK6iInqBExR2TnGFHtnW1Lomtsp3fqe F++KFt/yrsiwe+D7DW8Zfne9ah7inm4aVqiwcfC5DZkH54f9WZ4zEOKJ5bb/ wyy7Ir/yXNhCy6+M5u7RQkl+ZeX6+uDFT82Cd69NASnqoSbgDZmIoPwaeE8w 8NZ6NmJySn7zkN8O8iRt5LcL8tsdC9EL+e2L/A5AfgcBbwHwFgFvKfCWAe8w 4K2UJ3Yjv9VYiBrgHY381l1jAL7xF/q+GL8Q17sX8PYA3W4BlthJXHtaY2C3 EVuITcRGYj1xuTjd0yy0Mns7LQXtEg9aZxWSjtfprW8X/JWJMqJEICbRJudx TOeaVeUEuGl+4aZ36cMb35FDuwFIrwfSvQjsbiZu170W2VOJTlwdpMtVagmi OaAmRdY5XRFZtySRdLslFtR8C+urWYCViZ2cStzdemCvtkWEgPUncc71Jidw jdYlUsD+wwA70vMMEzzPgOLm4Xs74PU6orhdUNzuKG4vFLcvitsfxR2EX8jH LxThF0rwC2X4hXKgrUBxh6O41VdaaFHcMdcaaHcD2S5i5+kpRd1hIb0yAelm D1LnZdcQq9uZKZmvrs7TXmxB9Y2B72udwvrmQLxtZbvUyT5ZdihoZ85nDzw9 DGtuDGsbtfdtuc/HW3JR5m4g3SWQ4gSuQVGveplDec4B69Z9nZq6tTI3FQs5 gRCobpUhqarOEYixdY6gSNcyPzrQAvualbkXAsDKWRKZa10VvAH3yZmB/YV+ PUIZk3uPSi2oJWF1U7TQaoO/MGxXGgyqFxhUayyq3kqaMwd5mIMOmIOOaGtn rG03tLUn2toHbe2PtR2ItuajrYVXGFSHgOpQtLUCbR2Oto4A05Fo6yi0tfY6 g6rD0tfOrQn9dCsFWkPbpfyqWzGQ6dbSdo2nXA5PZwAyaakzAc6/igkobWfO 0DlE5Zy0O0vnLiCKEbUGduebJna9Jbf2eFNOKF4HpteC6Q709GoZ/EF1k77k wuipQdZh6uupWzVoDarOvIquxiZAI1oaHaxSRsDpq3vuYAhZWRaWVa4bf9Ba WnfbEh5QqTWyJK3+VCyjD/Bp/buhtcIT1/GenZ1p3EAebqA9bqCDELvEEouw 9kZY++EGBkDsYEtsMW5gCMI6FGEdhrBWIqxVEFuNsNYgrKMtsY5OJ5wbEuLp CE0KqKPUt6iZKHXrtvXtUlY1KaT+qF/YzpxLlks35eKg3u1S55PtpW453sC/ 4w2acsfrciukqwHzKuJKgfMVjoyZ1UYAvVTfmyOloQZUd87B19E5KrUw4LvT JKDJgT+kp27wL5aKFqVr6psJSJ/1IJU1K7Gce6IWUvpL/Xq4/fr9trhshIac anyS7XiPTWk5ef6dfh5ercfntMZ8tmfg78TA35WBv4fwiZr2ZeAfwMA/iIG/ ADUtQk1LUdMy1LQcPivgczhqOgI+R8LnqJ2GT8eiU8s1TfDoD+rzW8CkG9x9 J+qrpz/Ai3q6dVjvqh79PE6HZa7a/hp/bX9VsNwGjlsFR/RysyD5IgfFEL/q yUil66VB0uApSLqVVl8zZ6r0SVNzsXSeNJ5ASUUL5aUgOkil9POdAJ5OQ+UE hEzjb/1hZjJDpyLOjMmU0f4+W9ITGcjMNIeKJ/8naDL/aiu8WDegfjTeaGtL fTIvIrCkeVjSPMjsCJldILM743xPyOwDmf0hcyBk5kNmIWQWQ+YQyBzKOD8M Mishs4pxvhoyayyZjkI3aV+RgURfHd0k3s2HpmehMTmWO7vpq2R+QCW9C4Lt r5i049z8Mn9telnuZLQRBDeA4PoXyCvUcc2z1P4J15LOXfrKOM8i6aZDvjq6 4dvN3/0hvDkoxq5TgygrECmVzISinDSQlSSZLt0YtZDFs/SrXBkjS6sP2eKe scVn4tB3m6nrfQ2I59nqLrDNtlA3Y16VXZmamBjGBcYFBsb2wNgJGLsCYw9g 7A2MfYFxAEP4IIbwAmAsAsYSYCwDxnKG8ApgHA6MIxjCR1oYk+At9mQwCZ8v hW6e44xkcwF0hjK/XbqhdJLoQehuyXnFi/x1+Quih+uAbi36dxngrXyaGj8a ZQTPn4cbCJ0GCnj+0OwWj3z/mITPecjkEK3h2yeNvfcD/MmUXdZIZU4ts5+7 ov9sDXuHKqODD9iinrZFvxxgLznT0eydpLH7g63pXNtQ89MQ1Do42ZvvzE1h lwd2HcGuM9h1A7ueYNcH7PqB3UCwGwx2hWBXDHalYFcGduVgVwF2w8FuhMVu oYeYP9o6jZvVLn06LTrnptRuzuLcoBt5HWrOESbnLu7Mvq93ndvZn8Xtoy57 Tm57tRqyVj0DXcSKp5jvP06F/hllocuNsE7aZlraHGFJeXMjrZulNEVZqUda oSHtINt/H2ahTSbDMs0QM3dLC2H7lX49RBmdbLClPadSi5a+DQyCFhnS2tqa zrYNJQ02Vyf2PH0RgSFPe8KpdvVSRl1m13nMVfKYq7SHtk54wS7Q1h3aekFb H0bc/oy4A6EtH9oKoa0Y2kqhrQzayqGtghF3+E73k5uTYgFzI+iMDHQlhSxJ WEVCzJy/c9ewJkfUzk7I9lUrnhbOLkG3lgtZeLgl0HVxgx4B5DPzoxObhMuX LwOas3G+hLnx002D/TE0BJiZaehUcDPi/MSQGoLtJYuFzBTEl90T/ahlpP1a v8pkXIZTZ+teUqmVRn+ykaTsawPZvraGM2wDzbINpqHTjT8nOkP5chfDlpC2 DpcAG5PiLkyKuzMp7sWkuA+g9Qe0gYCWz6S4kElHMdauFNCGAlo5oFUga8N3 GWmbloBqoidbDqyQdLklbJk4yMpgSWKkTMiX+7HjYvzXEhMcKq85sgnOFsHW QqavCxgj5z0C9FrF5uXoDDwpC1/Om/kCZhgzvCVFzA2Vbrkl6dUaCZmue0G6 lH1iu/g92+WyFiPr3S+q1BRXELm51YDJ3EHGzGdsqa/avWQF7GQN2H62klNt q0xPwiaNOluffI9Fzrg3x5hMIRYTy2AMMeuImHVBzLojZr0YOvswdPbfBGPw NRgxK0TMihGzUia1ZcLYdZoxo2VHxSi5UdAZriROIa3y10i8+agZBXmdCyrz GnQgAPK6n5rLv+ew/aKH0c8HQfw+5x40Q+boT2omRm4sdHI13mLlUEpKlhsT fesfy5Zy9v9A5WuVT9Pbtp/Fn4tPF88kA+N90X+1DKX/1q/y8w+ZQciI+Lwt 1p3Cc8t2jTCKDEe5tnrSBJN1b07RuZDGlWyeqTf7OjZbNl8UHWHGxwUpnNqD Uwdw6gxO3ZCrnuDUG5z6gdMAcBqEXOUjV0XgVAJOQ5CrMnAq3+XGxkP0eppw M8Jy41zU0AA7vhz1a5f60fWMB5AYiQelXHndX816UP87DvnM9PuRRs2PZicy 8OybgCcNIP2ZqdovZILIjXkGIgOUg8gtAftjnz+H9M8J2wWNGCTpxY8TMInR 9l3Ww9GPWwuSrAfLHNINer6H/8DuOh2kU5Rvq+ptE0hTTNLNNFnf82WKB1U6 WPIyS14u1Isqs4004bPyGPryGPo6wFFnZKkbHPWEoz5w1A+OBsDRIGSpAI6K 4KgYWSqFozInS/vFI5fDxZlvKzfm18xtVf3dDIjExHts3Cv8TLpXWOJvNeEe E+PusnDkenDMikx+7KPSFSZWGdMIxwYYGd+IE19sDDO+R0qOX46V2IwLLwYX N4pJP31q++0D249v2X59yfazjEH3tZCY3+hX2YuTHlEyGcGcRXK0fOrR8pWB ZR9buTp77ONsW9RLU03Q3TLRNtdkG1NsyuV6/EzX2wxFubonDlZ5y1PQdEJ8 ugJND6DpBTR9gaY/0AxEfAYDTQHQFAFNyXVmPJXfTd4cqZFEzS3ErYxht8rW 0bfZ80lqJNurbjI6NSvGV1dhuhYe1+tezx+d6Pmmet85F6cUhgBDgxDgnHKs FrKbEnkpju1ygXKakUJBOuCzBA7OOr+qUkPRwz9pGQpnxygISG5O5huZ5HxM LziZAcg55VH2wGttQ2g0dDOP0zyMVylt0fqi35ukWzjHtfVUeZkmbTBdXmbo pp+p8hiMOuCdOzFJ6woLPWChNyz0xdf0R0AGwsIgvHM+PBTAQyEiUox/LiFK 8dClu1ERiT2Iyx7zt2yj7DZx72swU4y6YcEMqpM0G2kAyObx+rc/zWXAHzGM EhgmfPthMIhP0hTqumgYPCDcUPKFBeIT20XSVb43ka583N44shU03Gd5Emvr ZugZ/cgpaTRU28Ou8cnQLTlGt6QvHONMS+b6gOiPTtQtL9sn6x7RvkaGmGn6 L70t1/EzKf7GBHmp17txGap7SDbXaRYbdZLe3Ug9fibl2g3tLmHLbKfpk2nK XaBQqLvpEOWn61e2h/6lGrvH12yzSvM+2MIOOke/CgMNto+lr0UE3Bjf+GoE 0zvOLMqxVel6j9Db4t7S20bppnO5rPNZN12Oa0TTYbqV5dsTdGpIz0+ScWGy /ktvy417IzfuYpcsRhvq9L7GePsanapCWu7k6Dp/K0vP+INpse0l4+SPbNQv X9nWcWbMjaxvqlTmPPazlvXLb+N+caPp67a3nYQ2OneU6Bc5mgrdLpV623DL 4gi9rVpvc1nl+irX7yuTYbKpTl7G6gaXThkvN9Wo13/pbfG7uld1/9bKy2jd 8E64dAeYXcvmNP3K0XXdXyWzI9kPcYbY1nJD2xFpffK1bZEvVcrxOEV7R6Xc zlPtWtYn5+pXOXiZo7+sUnnyoQqcZTbd0cZWaog9oKFS/3JteoZZ7ipt6B7K cXxW57gGq9Gdo/tGXmrlu2ME3rq2rodq9bv6c/E3Ao2tGzyFRAy9btShulLB RtdGQqtS3PD5XsO7IcRveDeUOKESvRdf8az97XgLW112IesrMql5TaXMhJuB pF3UF6U3fbE9FG2NhmjRLrOIldsYplugIsfBqBvJ6wspaqSWETnFMUr/1SZu Y2kZI36O6OFR41Y2+yjX22K87eU+uV5rF0fpi50Fut316exc3dzpXXC4SrLv usGNF769E/ZlrHishb3wu5h9mQ9K9rypUgO4c/WxFqVPAwtsFCqXwMW6c0os ZxJDZHOZ5tA0UxuVypCKuHO0kslbVXLcI/Rfeluu6zr9uWGpMlxTl7mdpLe2 P+QeEGjew9KaVyWa2JeX91RK8p86vWXN+/s0aZE8cVIfBDydb9e8BfpIYrun jV+JHJgBP9XA8sVyeWOYzHQq5J+V+i+9Tb8bd0RZ/F0zs9B7detaRW6HBYcG ms5tSzWdMjdv0M7OFwlHp2T2c/anQs1uuz/oVynSDZNOkj+xPeSe+ZB+o5QT lT9c6sHEXB8ap1phKhHdEZtJlWlaaYlSeRkiL2WiyEO1uMhHhuQ2Qq3YQ7/I b8UUgYcFmvGQDM1ojtkluk+hWPYX7ZXTwWYM3e3jT/pVhgA/uz9y+GVvwU9d K9qTMm2UN9GI0ZT3Ctq4gzWQtklrSfOXfK5EalKcqzIoYWKbbrzDA413cNbG +zrBoZvzvGyvi2x24/05brxXbBHOOkvR5hfwprXa2N1+YD8bya8u8+MzDmaO 5pZvzL8KNTBt3V+mLfVfJwSO+FtNHrEvXJImOvPsNXbNPuLz4iN+1RbhBgKh 0c7n29g2lVFbrgmIOgUqfFCgwuZBFm1t9/zLY/t1e8lVsyv6F/0qRb1ui/jY dsuXUaqWshuxKE9lquWBWWvpmtRB9Ka9IKLZtfxrXMs3bBFOvL7yainb3M8b oo6BWh7QZC2dVkhvvWXPpDe7lufHtXzTIhx3uFfL2AVINToEarl/k7X0e/1t e5Ks2bX8W1otP7RFmfXpU1VS9POjvEAV98taRV83TBX/u2VV/HujKn6WtYr/ CFRx37QqPhlXzlTUESmwv/2bltXugrh2L3i1+ypj7f4nULt90mp3f6J2X/u1 O7tltfuHfm2TrNkpzaxY27SKPR2o2BeuYue0rGJ5dptXsWBzXRColXb2ItPm TOe/EtDlelX7yE6Jml2v9nG93rNFh+v190C9cgJ5sE9alaQbP7Tzg2ZXqWNc pX/Z/lNRqAP/lqFK0X5pdZC2ft+a6GbXoVNch09U+DxopjpE0f5puxcRfMv6 0GbvvnO8+w9Uuoam7/78tN3rXvCO/kvNqpT0x5btvmtaD2hPZ6+JSt/9XzwA TBWMkUhn8gPrgJq9+27x7j+KAQjt/k/peaHiOqRD+Kku7rzMdQjdTrpnXIfP Y7YbTwry9eWI+fFkVsVBWV41vozL/UvLqtE7rsZXcTVOCFTj3LgpnCbYtog/ 67y4K/n8wN5OylyRPnFFPomRCFXk7Lgi5ujb+hWx8SXa26Kd9wvweHxg57+O d75fo1b4KpbgZu50QLzTL+KGPC6w0zPjnR7g7dSV0sKdDop3+mW802MDOz2j 0U6lXeQ/Aa9Dy3aaH+/0s3inxwR2elpip23jnbr/WrHzInkNHeJPA4f4Vfy1 3EBRLWzrkviwU7NW+S2x0juVJ6Dk58a73++b769MXo8OHOn30nd14DffVbm3 zR3akfGhnZq+P+Mv4u/+23bfxt8m/x0VOPbj0+ty2L/32N22tvJ6eNwA0gl6 Wm12euT/zk73l1dZ51L6+PSKV9t4p0f/7+z0YHmVhQ2lz5Bqi6b/0q7kxP+d nR4V7zQn3lXop/z/hl11DGz7/7/Y0BMVh/1fsf9rxYa6rFNg2/8V+3/F/l+x /1dsM4s9KfBWSMH0itwBsqn9Ny9MX4Rzomw6QP7SE6S/f/NiD42L/UlcbGjO m6XY/LiIvLiI0LpJliL+EhcRspGD42JDy3pZitW/ATtJNoV+DVYcFxtasj4x c7EHxrUNTcuHxsWGzpb5xR4s7+QHPjQ8LiJ0iY8tQt/UYP9MRdTERYR+PWKL 0F2+n7zTJ/ChuriIkCmzRfwirkXnwIcmxEWEUtEWcU5ciwsCH5oaF3Fc5iL+ HNcitGQ1Ky7i25mL+Edci9DK9ty4iNBUwxbRNa5F6HTzwriIgzIX0S8uItRt y+Ii9s1cRFF8IKFFspVxETmZixgW1+KYwIdmy+uxqU6NRsV7DDWORus02WTO uUT1cemh2bHWOf10RTPRjmbI/34lG5aaDdH/+/8AkS2XyA==\ \>"]] }, Open ]] }, Open ]], Cell["\<\ Exercise: Find periodic orbits in the field of a charged disk (E. Tresaco et al Celest. Mech. Dyn. Astron.111 ( 2011))\ \>", "Subsubsection"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["\<\ Magnetic field of a rectangular bar magnet\ \>", "Subsubsection"], Cell["Large, verified result", "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"rules", " ", "=", " ", RowBox[{ RowBox[{"WolframAlpha", "[", RowBox[{ "\"\\"", ",", "\"\\"", ",", " ", RowBox[{"IncludePods", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", "2"}], "}"}]}]}], "]"}], "[", RowBox[{"[", RowBox[{"2", ",", " ", "1", ",", " ", "1", ",", " ", "2"}], "]"}], "]"}]}]], "Input"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ OverscriptBox["M", "\[RightVector]"], "\[RuleDelayed]", TagBox[GridBox[{ {"\[Piecewise]", GridBox[{ { RowBox[{"{", RowBox[{"0", ",", "0", ",", SubscriptBox["M", "0"]}], "}"}], RowBox[{ RowBox[{ RowBox[{"Abs", "[", "x", "]"}], "\[LessEqual]", FractionBox["a", "2"]}], "&&", RowBox[{ RowBox[{"Abs", "[", "y", "]"}], "\[LessEqual]", FractionBox["b", "2"]}], "&&", RowBox[{ RowBox[{"Abs", "[", "z", "]"}], "\[LessEqual]", FractionBox["c", "2"]}]}]}, { RowBox[{"{", RowBox[{"0", ",", "0", ",", "0"}], "}"}], TagBox["True", "PiecewiseDefault", AutoDelete->True]} }, AllowedDimensions->{2, Automatic}, Editable->True, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.84]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}, Selectable->True]} }, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.35]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "Piecewise", DeleteWithContents->True, Editable->False, SelectWithContents->True, Selectable->False]}], ",", RowBox[{ OverscriptBox["H", "\[RightVector]"], "\[RuleDelayed]", RowBox[{"-", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["\[PartialD]", "x"], "\[Psi]"}], ",", RowBox[{ SubscriptBox["\[PartialD]", "y"], "\[Psi]"}], ",", RowBox[{ SubscriptBox["\[PartialD]", "z"], "\[Psi]"}]}], "}"}]}]}], ",", RowBox[{"\[Psi]", "\[RuleDelayed]", RowBox[{"-", RowBox[{ FractionBox["1", RowBox[{"4", " ", "\[Pi]"}]], RowBox[{ SubscriptBox["M", "0"], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["y", "m"], "+", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}]]}], "]"}], " ", SubscriptBox["x", "m"]}], "-", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["y", "m"], "+", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}]]}], "]"}], " ", SubscriptBox["x", "m"]}], "-", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["y", "p"], "+", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}]]}], "]"}], " ", SubscriptBox["x", "m"]}], "+", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["y", "p"], "+", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}]]}], "]"}], " ", SubscriptBox["x", "m"]}], "-", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["y", "m"], "+", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}]]}], "]"}], " ", SubscriptBox["x", "p"]}], "+", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["y", "m"], "+", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}]]}], "]"}], " ", SubscriptBox["x", "p"]}], "+", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["y", "p"], "+", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}]]}], "]"}], " ", SubscriptBox["x", "p"]}], "-", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["y", "p"], "+", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}]]}], "]"}], " ", SubscriptBox["x", "p"]}], "+", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["x", "m"], "+", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}]]}], "]"}], " ", SubscriptBox["y", "m"]}], "-", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["x", "m"], "+", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}]]}], "]"}], " ", SubscriptBox["y", "m"]}], "-", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["x", "p"], "+", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}]]}], "]"}], " ", SubscriptBox["y", "m"]}], "+", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["x", "p"], "+", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}]]}], "]"}], " ", SubscriptBox["y", "m"]}], "-", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["x", "m"], "+", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}]]}], "]"}], " ", SubscriptBox["y", "p"]}], "+", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["x", "m"], "+", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}]]}], "]"}], " ", SubscriptBox["y", "p"]}], "+", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["x", "p"], "+", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}]]}], "]"}], " ", SubscriptBox["y", "p"]}], "-", RowBox[{ RowBox[{"Log", "[", RowBox[{ SubscriptBox["x", "p"], "+", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}]]}], "]"}], " ", SubscriptBox["y", "p"]}], "-", RowBox[{ RowBox[{"ArcTan", "[", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["y", "m"]}], RowBox[{ SubscriptBox["z", "m"], " ", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}]]}]], "]"}], " ", SubscriptBox["z", "m"]}], "+", RowBox[{ RowBox[{"ArcTan", "[", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["y", "p"]}], RowBox[{ SubscriptBox["z", "m"], " ", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}]]}]], "]"}], " ", SubscriptBox["z", "m"]}], "+", RowBox[{ RowBox[{"ArcTan", "[", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["y", "m"]}], RowBox[{ SubscriptBox["z", "m"], " ", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}]]}]], "]"}], " ", SubscriptBox["z", "m"]}], "-", RowBox[{ RowBox[{"ArcTan", "[", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["y", "p"]}], RowBox[{ SubscriptBox["z", "m"], " ", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}]]}]], "]"}], " ", SubscriptBox["z", "m"]}], "+", RowBox[{ RowBox[{"ArcTan", "[", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["y", "m"]}], RowBox[{ SubscriptBox["z", "p"], " ", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}]]}]], "]"}], " ", SubscriptBox["z", "p"]}], "-", RowBox[{ RowBox[{"ArcTan", "[", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["y", "p"]}], RowBox[{ SubscriptBox["z", "p"], " ", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}]]}]], "]"}], " ", SubscriptBox["z", "p"]}], "-", RowBox[{ RowBox[{"ArcTan", "[", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["y", "m"]}], RowBox[{ SubscriptBox["z", "p"], " ", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}]]}]], "]"}], " ", SubscriptBox["z", "p"]}], "+", RowBox[{ RowBox[{"ArcTan", "[", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["y", "p"]}], RowBox[{ SubscriptBox["z", "p"], " ", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}]]}]], "]"}], " ", SubscriptBox["z", "p"]}], "+", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["y", "m"]}], SubscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}]]], "+", FractionBox[ RowBox[{ SubscriptBox["y", "m"], " ", SubsuperscriptBox["z", "m", "2"]}], RowBox[{ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}]]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}], "2"]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubsuperscriptBox["z", "m", "2"]}], RowBox[{ RowBox[{ SubscriptBox["y", "m"], " ", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}]]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}], "2"]}]], "-", FractionBox[ RowBox[{ SubsuperscriptBox["x", "m", "3"], " ", SubscriptBox["y", "m"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "m", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["y", "m", "2"], " ", SubsuperscriptBox["z", "m", "2"], " ", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}]]}], "+", RowBox[{ SubsuperscriptBox["x", "m", "2"], " ", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}], "3"]}]}], ")"}]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubsuperscriptBox["y", "m", "3"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "m", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "m", "2"], " ", SubsuperscriptBox["z", "m", "2"], " ", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}]]}], "+", RowBox[{ SubsuperscriptBox["y", "m", "2"], " ", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}], "3"]}]}], ")"}]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["y", "m"], " ", SubsuperscriptBox["z", "m", "2"], " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["z", "m", "2"], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "m", "2"], " ", SubsuperscriptBox["y", "m", "2"], " ", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}]]}], "+", RowBox[{ SubsuperscriptBox["z", "m", "2"], " ", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}], "3"]}]}], ")"}]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["y", "m"]}], SubscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}]]], "-", FractionBox[ RowBox[{ SubscriptBox["y", "m"], " ", SubsuperscriptBox["z", "p", "2"]}], RowBox[{ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}]]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}], "2"]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubsuperscriptBox["z", "p", "2"]}], RowBox[{ RowBox[{ SubscriptBox["y", "m"], " ", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}]]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}], "2"]}]], "+", FractionBox[ RowBox[{ SubsuperscriptBox["x", "m", "3"], " ", SubscriptBox["y", "m"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "p", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["y", "m", "2"], " ", SubsuperscriptBox["z", "p", "2"], " ", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}]]}], "+", RowBox[{ SubsuperscriptBox["x", "m", "2"], " ", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}], "3"]}]}], ")"}]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubsuperscriptBox["y", "m", "3"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "p", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "m", "2"], " ", SubsuperscriptBox["z", "p", "2"], " ", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}]]}], "+", RowBox[{ SubsuperscriptBox["y", "m", "2"], " ", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}], "3"]}]}], ")"}]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["y", "m"], " ", SubsuperscriptBox["z", "p", "2"], " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["z", "p", "2"], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "m", "2"], " ", SubsuperscriptBox["y", "m", "2"], " ", SubscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}]]}], "+", RowBox[{ SubsuperscriptBox["z", "p", "2"], " ", SubsuperscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}], "3"]}]}], ")"}]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["y", "p"]}], SubscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}]]], "-", FractionBox[ RowBox[{ SubscriptBox["y", "p"], " ", SubsuperscriptBox["z", "m", "2"]}], RowBox[{ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}]]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}], "2"]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubsuperscriptBox["z", "m", "2"]}], RowBox[{ RowBox[{ SubscriptBox["y", "p"], " ", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}]]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}], "2"]}]], "+", FractionBox[ RowBox[{ SubsuperscriptBox["x", "m", "3"], " ", SubscriptBox["y", "p"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "m", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["y", "p", "2"], " ", SubsuperscriptBox["z", "m", "2"], " ", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}]]}], "+", RowBox[{ SubsuperscriptBox["x", "m", "2"], " ", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}], "3"]}]}], ")"}]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubsuperscriptBox["y", "p", "3"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "m", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "m", "2"], " ", SubsuperscriptBox["z", "m", "2"], " ", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}]]}], "+", RowBox[{ SubsuperscriptBox["y", "p", "2"], " ", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}], "3"]}]}], ")"}]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["y", "p"], " ", SubsuperscriptBox["z", "m", "2"], " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["z", "m", "2"], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "m", "2"], " ", SubsuperscriptBox["y", "p", "2"], " ", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}]]}], "+", RowBox[{ SubsuperscriptBox["z", "m", "2"], " ", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}], "3"]}]}], ")"}]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["y", "p"]}], SubscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}]]], "+", FractionBox[ RowBox[{ SubscriptBox["y", "p"], " ", SubsuperscriptBox["z", "p", "2"]}], RowBox[{ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}]]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}], "2"]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubsuperscriptBox["z", "p", "2"]}], RowBox[{ RowBox[{ SubscriptBox["y", "p"], " ", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}]]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}], "2"]}]], "-", FractionBox[ RowBox[{ SubsuperscriptBox["x", "m", "3"], " ", SubscriptBox["y", "p"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "p", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["y", "p", "2"], " ", SubsuperscriptBox["z", "p", "2"], " ", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}]]}], "+", RowBox[{ SubsuperscriptBox["x", "m", "2"], " ", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}], "3"]}]}], ")"}]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubsuperscriptBox["y", "p", "3"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "p", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "m", "2"], " ", SubsuperscriptBox["z", "p", "2"], " ", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}]]}], "+", RowBox[{ SubsuperscriptBox["y", "p", "2"], " ", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}], "3"]}]}], ")"}]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "m"], " ", SubscriptBox["y", "p"], " ", SubsuperscriptBox["z", "p", "2"], " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["z", "p", "2"], "+", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "m", "2"], " ", SubsuperscriptBox["y", "p", "2"], " ", SubscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}]]}], "+", RowBox[{ SubsuperscriptBox["z", "p", "2"], " ", SubsuperscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}], "3"]}]}], ")"}]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["y", "m"]}], SubscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}]]], "-", FractionBox[ RowBox[{ SubscriptBox["y", "m"], " ", SubsuperscriptBox["z", "m", "2"]}], RowBox[{ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}]]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}], "2"]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubsuperscriptBox["z", "m", "2"]}], RowBox[{ RowBox[{ SubscriptBox["y", "m"], " ", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}]]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}], "2"]}]], "+", FractionBox[ RowBox[{ SubsuperscriptBox["x", "p", "3"], " ", SubscriptBox["y", "m"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "m", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["y", "m", "2"], " ", SubsuperscriptBox["z", "m", "2"], " ", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}]]}], "+", RowBox[{ SubsuperscriptBox["x", "p", "2"], " ", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}], "3"]}]}], ")"}]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubsuperscriptBox["y", "m", "3"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "m", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "p", "2"], " ", SubsuperscriptBox["z", "m", "2"], " ", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}]]}], "+", RowBox[{ SubsuperscriptBox["y", "m", "2"], " ", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}], "3"]}]}], ")"}]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["y", "m"], " ", SubsuperscriptBox["z", "m", "2"], " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["z", "m", "2"], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "p", "2"], " ", SubsuperscriptBox["y", "m", "2"], " ", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}]]}], "+", RowBox[{ SubsuperscriptBox["z", "m", "2"], " ", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}], "3"]}]}], ")"}]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["y", "m"]}], SubscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}]]], "+", FractionBox[ RowBox[{ SubscriptBox["y", "m"], " ", SubsuperscriptBox["z", "p", "2"]}], RowBox[{ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}]]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}], "2"]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubsuperscriptBox["z", "p", "2"]}], RowBox[{ RowBox[{ SubscriptBox["y", "m"], " ", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}]]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}], "2"]}]], "-", FractionBox[ RowBox[{ SubsuperscriptBox["x", "p", "3"], " ", SubscriptBox["y", "m"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "p", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["y", "m", "2"], " ", SubsuperscriptBox["z", "p", "2"], " ", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}]]}], "+", RowBox[{ SubsuperscriptBox["x", "p", "2"], " ", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}], "3"]}]}], ")"}]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubsuperscriptBox["y", "m", "3"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "p", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "p", "2"], " ", SubsuperscriptBox["z", "p", "2"], " ", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}]]}], "+", RowBox[{ SubsuperscriptBox["y", "m", "2"], " ", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}], "3"]}]}], ")"}]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["y", "m"], " ", SubsuperscriptBox["z", "p", "2"], " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["z", "p", "2"], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "p", "2"], " ", SubsuperscriptBox["y", "m", "2"], " ", SubscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}]]}], "+", RowBox[{ SubsuperscriptBox["z", "p", "2"], " ", SubsuperscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}], "3"]}]}], ")"}]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["y", "p"]}], SubscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}]]], "+", FractionBox[ RowBox[{ SubscriptBox["y", "p"], " ", SubsuperscriptBox["z", "m", "2"]}], RowBox[{ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}]]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}], "2"]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubsuperscriptBox["z", "m", "2"]}], RowBox[{ RowBox[{ SubscriptBox["y", "p"], " ", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}]]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}], "2"]}]], "-", FractionBox[ RowBox[{ SubsuperscriptBox["x", "p", "3"], " ", SubscriptBox["y", "p"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "m", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["y", "p", "2"], " ", SubsuperscriptBox["z", "m", "2"], " ", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}]]}], "+", RowBox[{ SubsuperscriptBox["x", "p", "2"], " ", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}], "3"]}]}], ")"}]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubsuperscriptBox["y", "p", "3"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "m", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "p", "2"], " ", SubsuperscriptBox["z", "m", "2"], " ", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}]]}], "+", RowBox[{ SubsuperscriptBox["y", "p", "2"], " ", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}], "3"]}]}], ")"}]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["y", "p"], " ", SubsuperscriptBox["z", "m", "2"], " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["z", "m", "2"], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "p", "2"], " ", SubsuperscriptBox["y", "p", "2"], " ", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}]]}], "+", RowBox[{ SubsuperscriptBox["z", "m", "2"], " ", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}], "3"]}]}], ")"}]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["y", "p"]}], SubscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}]]], "-", FractionBox[ RowBox[{ SubscriptBox["y", "p"], " ", SubsuperscriptBox["z", "p", "2"]}], RowBox[{ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}]]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}], "2"]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubsuperscriptBox["z", "p", "2"]}], RowBox[{ RowBox[{ SubscriptBox["y", "p"], " ", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}]]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}], "2"]}]], "+", FractionBox[ RowBox[{ SubsuperscriptBox["x", "p", "3"], " ", SubscriptBox["y", "p"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "p", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["y", "p", "2"], " ", SubsuperscriptBox["z", "p", "2"], " ", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}]]}], "+", RowBox[{ SubsuperscriptBox["x", "p", "2"], " ", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}], "3"]}]}], ")"}]}]], "+", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubsuperscriptBox["y", "p", "3"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SubsuperscriptBox["z", "p", "2"]}], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "p", "2"], " ", SubsuperscriptBox["z", "p", "2"], " ", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}]]}], "+", RowBox[{ SubsuperscriptBox["y", "p", "2"], " ", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}], "3"]}]}], ")"}]}]], "-", FractionBox[ RowBox[{ SubscriptBox["x", "p"], " ", SubscriptBox["y", "p"], " ", SubsuperscriptBox["z", "p", "2"], " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["z", "p", "2"], "+", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}], "2"]}], ")"}]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{ SubsuperscriptBox["x", "p", "2"], " ", SubsuperscriptBox["y", "p", "2"], " ", SubscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}]]}], "+", RowBox[{ SubsuperscriptBox["z", "p", "2"], " ", SubsuperscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}], "3"]}]}], ")"}]}]]}], ")"}]}]}]}]}], ",", RowBox[{ SubscriptBox["x", "m"], "\[RuleDelayed]", RowBox[{ RowBox[{"-", FractionBox["a", "2"]}], "-", "x"}]}], ",", RowBox[{ SubscriptBox["x", "p"], "\[RuleDelayed]", RowBox[{ FractionBox["a", "2"], "-", "x"}]}], ",", RowBox[{ SubscriptBox["y", "m"], "\[RuleDelayed]", RowBox[{ RowBox[{"-", FractionBox["b", "2"]}], "-", "y"}]}], ",", RowBox[{ SubscriptBox["y", "p"], "\[RuleDelayed]", RowBox[{ FractionBox["b", "2"], "-", "y"}]}], ",", RowBox[{ SubscriptBox["z", "m"], "\[RuleDelayed]", RowBox[{ RowBox[{"-", FractionBox["c", "2"]}], "-", "z"}]}], ",", RowBox[{ SubscriptBox["z", "p"], "\[RuleDelayed]", RowBox[{ FractionBox["c", "2"], "-", "z"}]}], ",", RowBox[{ SubscriptBox["r", RowBox[{"1", ",", "1", ",", "1"}]], "\[RuleDelayed]", SqrtBox[ RowBox[{ SubsuperscriptBox["x", "m", "2"], "+", SubsuperscriptBox["y", "m", "2"], "+", SubsuperscriptBox["z", "m", "2"]}]]}], ",", RowBox[{ SubscriptBox["r", RowBox[{"1", ",", "1", ",", "2"}]], "\[RuleDelayed]", SqrtBox[ RowBox[{ SubsuperscriptBox["x", "m", "2"], "+", SubsuperscriptBox["y", "m", "2"], "+", SubsuperscriptBox["z", "p", "2"]}]]}], ",", RowBox[{ SubscriptBox["r", RowBox[{"1", ",", "2", ",", "1"}]], "\[RuleDelayed]", SqrtBox[ RowBox[{ SubsuperscriptBox["x", "m", "2"], "+", SubsuperscriptBox["y", "p", "2"], "+", SubsuperscriptBox["z", "m", "2"]}]]}], ",", RowBox[{ SubscriptBox["r", RowBox[{"2", ",", "1", ",", "1"}]], "\[RuleDelayed]", SqrtBox[ RowBox[{ SubsuperscriptBox["x", "p", "2"], "+", SubsuperscriptBox["y", "m", "2"], "+", SubsuperscriptBox["z", "m", "2"]}]]}], ",", RowBox[{ SubscriptBox["r", RowBox[{"1", ",", "2", ",", "2"}]], "\[RuleDelayed]", SqrtBox[ RowBox[{ SubsuperscriptBox["x", "m", "2"], "+", SubsuperscriptBox["y", "p", "2"], "+", SubsuperscriptBox["z", "p", "2"]}]]}], ",", RowBox[{ SubscriptBox["r", RowBox[{"2", ",", "1", ",", "2"}]], "\[RuleDelayed]", SqrtBox[ RowBox[{ SubsuperscriptBox["x", "p", "2"], "+", SubsuperscriptBox["y", "m", "2"], "+", SubsuperscriptBox["z", "p", "2"]}]]}], ",", RowBox[{ SubscriptBox["r", RowBox[{"2", ",", "2", ",", "1"}]], "\[RuleDelayed]", SqrtBox[ RowBox[{ SubsuperscriptBox["x", "p", "2"], "+", SubsuperscriptBox["y", "p", "2"], "+", SubsuperscriptBox["z", "m", "2"]}]]}], ",", RowBox[{ SubscriptBox["r", RowBox[{"2", ",", "2", ",", "2"}]], "\[RuleDelayed]", SqrtBox[ RowBox[{ SubsuperscriptBox["x", "p", "2"], "+", SubsuperscriptBox["y", "p", "2"], "+", SubsuperscriptBox["z", "p", "2"]}]]}]}], "}"}]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"BOutside", " ", "=", RowBox[{"-", RowBox[{"D", "[", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"\[Psi]", " ", "//.", " ", "rules"}], ")"}], "/", SubscriptBox["M", "0"]}], ",", " ", RowBox[{"{", RowBox[{"{", RowBox[{"x", ",", " ", "y", ",", " ", "z"}], "}"}], "}"}]}], "]"}]}]}]], "Input"], Cell[BoxData[ InterpretationBox[ TagBox[ PanelBox[GridBox[{ { StyleBox[ StyleBox[ DynamicBox[ToBoxes[ FEPrivate`FrontEndResource["FEStrings", "sizeExplanation"], StandardForm], ImageSizeCache->{278., {2., 8.}}], StripOnInput->False, DynamicUpdating->True], "Panel", StripOnInput->False, Background->None]}, { ItemBox[ TagBox[ RowBox[{"{", RowBox[{ RowBox[{ FractionBox["1", RowBox[{"4", " ", "\[Pi]"}]], RowBox[{"(", RowBox[{ FractionBox[ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", FractionBox["b", "2"]}], "-", "y"}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "-", FractionBox[ RowBox[{ RowBox[{"-", FractionBox["a", "2"]}], "-", "x"}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", FractionBox["a", "2"]}], "-", "x"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", FractionBox["c", "2"]}], "-", "z"}], ")"}], "2"]}]]]}], ")"}]}], RowBox[{ RowBox[{"-", FractionBox["a", "2"]}], "-", "x", "+", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", FractionBox["a", "2"]}], "-", "x"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", FractionBox["b", "2"]}], "-", "y"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", FractionBox["c", "2"]}], "-", "z"}], ")"}], "2"]}]]}]], "-", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", FractionBox["b", "2"]}], "-", "y"}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "-", FractionBox[ RowBox[{ FractionBox["a", "2"], "-", "x"}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}], "2"], "+", RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}], "+", RowBox[{ "\[LeftSkeleton]", "1", "\[RightSkeleton]"}]}]]]}], ")"}]}], RowBox[{ FractionBox["a", "2"], "-", "x", "+", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ FractionBox["a", "2"], "-", "x"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}]}], "-", "y"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", FractionBox["c", "2"]}], "-", "z"}], ")"}], "2"]}]]}]], "-", FractionBox[ RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}], RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}]], "+", RowBox[{"\[LeftSkeleton]", "210", "\[RightSkeleton]"}], "+", RowBox[{"Log", "[", RowBox[{ FractionBox["b", "2"], "-", "y", "+", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ FractionBox["a", "2"], "-", "x"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{ FractionBox["b", "2"], "-", "y"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{ FractionBox["c", "2"], "-", "z"}], ")"}], "2"]}]]}], "]"}]}], ")"}]}], ",", FractionBox[ RowBox[{ RowBox[{"\[LeftSkeleton]", "215", "\[RightSkeleton]"}], "+", RowBox[{"Log", "[", RowBox[{ FractionBox["a", "2"], "-", "x", "+", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}], "-", "x"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}], ")"}], "2"]}]]}], "]"}]}], RowBox[{"4", " ", "\[Pi]"}]], ",", FractionBox[ RowBox[{ FractionBox[ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", FractionBox["a", "2"]}], "-", "x"}], ")"}], " ", RowBox[{"(", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", FractionBox["a", "2"]}], "-", "x"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", FractionBox["b", "2"]}], "-", "y"}], ")"}], "2"]}], ")"}], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}], ")"}], "3"], " ", RowBox[{"(", RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}], ")"}]}], RowBox[{"2", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}], ")"}], "2"], " ", SuperscriptBox[ RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}], RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}]]}], "+", RowBox[{"\[LeftSkeleton]", "1", "\[RightSkeleton]"}]}], ")"}], "2"]}]], "+", RowBox[{"\[LeftSkeleton]", "167", "\[RightSkeleton]"}]}], RowBox[{"4", " ", "\[Pi]"}]]}], "}"}], Short[#, 5]& ], Background->GrayLevel[1], BaseStyle->{Deployed -> False}, Frame->True, FrameStyle->GrayLevel[0, 0.2], StripOnInput->False]}, { RowBox[{ ButtonBox[ StyleBox[ StyleBox[ DynamicBox[ToBoxes[ FEPrivate`FrontEndResource["FEStrings", "sizeShowLess"], StandardForm], ImageSizeCache->{49., {1., 8.}}], StripOnInput->False, DynamicUpdating->True], "Panel", StripOnInput->False, Background->None], Appearance->Automatic, ButtonFunction:>OutputSizeLimit`ButtonFunction[ Identity, 31, 23119735929452804424, 5/2], Enabled->True, Evaluator->Automatic, Method->"Queued"], "\[ThinSpace]", ButtonBox[ StyleBox[ StyleBox[ DynamicBox[ToBoxes[ FEPrivate`FrontEndResource["FEStrings", "sizeShowMore"], StandardForm], ImageSizeCache->{52., {1., 8.}}], StripOnInput->False, DynamicUpdating->True], "Panel", StripOnInput->False, Background->None], Appearance->Automatic, ButtonFunction:>OutputSizeLimit`ButtonFunction[ Identity, 31, 23119735929452804424, 5 2], Enabled->True, Evaluator->Automatic, Method->"Queued"], "\[ThinSpace]", ButtonBox[ StyleBox[ StyleBox[ DynamicBox[ToBoxes[ FEPrivate`FrontEndResource["FEStrings", "sizeShowAll"], StandardForm], ImageSizeCache->{82., {2., 8.}}], StripOnInput->False, DynamicUpdating->True], "Panel", StripOnInput->False, Background->None], Appearance->Automatic, ButtonFunction:>OutputSizeLimit`ButtonFunction[ Identity, 31, 23119735929452804424, Infinity], Enabled->True, Evaluator->Automatic, Method->"Queued"], "\[ThinSpace]", ButtonBox[ StyleBox[ StyleBox[ DynamicBox[ToBoxes[ FEPrivate`FrontEndResource["FEStrings", "sizeChangeLimit"], StandardForm], ImageSizeCache->{74., {1., 8.}}], StripOnInput->False, DynamicUpdating->True], "Panel", StripOnInput->False, Background->None], Appearance->Automatic, ButtonFunction:>FrontEndExecute[{ FrontEnd`SetOptions[ FrontEnd`$FrontEnd, FrontEnd`PreferencesSettings -> {"Page" -> "Evaluation"}], FrontEnd`FrontEndToken["PreferencesDialog"]}], Evaluator->None, Method->"Preemptive"]}]} }, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxDividers->{ "Columns" -> {{False}}, "ColumnsIndexed" -> {}, "Rows" -> {{False}}, "RowsIndexed" -> {}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.5599999999999999]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[1.2]}, Offset[0.2]}, "RowsIndexed" -> {}}], DefaultBaseStyle->{}, FrameMargins->5], Deploy, DefaultBaseStyle->{Deployed -> True}], Out[31]]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"LeafCount", "[", "BOutside", "]"}]], "Input"], Cell[BoxData["68109"], "Output"] }, Open ]], Cell["\<\ What is the maximal field strength?\ \>", "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Norm", "[", RowBox[{"N", "[", RowBox[{ RowBox[{ RowBox[{"BOutside", " ", "/.", RowBox[{"{", RowBox[{ RowBox[{"a", "\[Rule]", "2"}], ",", RowBox[{"b", "\[Rule]", "2"}], ",", RowBox[{"c", "\[Rule]", "2"}]}], "}"}]}], "/.", " ", RowBox[{"{", RowBox[{ RowBox[{"x", " ", "\[Rule]", " ", "0"}], ",", " ", RowBox[{"y", " ", "\[Rule]", " ", RowBox[{"1", "+", "\[CurlyEpsilon]"}]}], ",", " ", RowBox[{"z", "\[Rule]", " ", RowBox[{"1", "+", "\[CurlyEpsilon]"}]}]}], "}"}]}], ",", " ", "20"}], "]"}], "]"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"\[CurlyEpsilon]", ",", " ", RowBox[{"-", "1"}], ",", " ", "1"}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ GraphicsBox[{{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[CompressedData[" 1:eJwV1Akw1d0bB3BJJUUilPylkpDSjSTSE3m1EsqaNS2SpSKSNSQJ0YIkJWVP 6KJLeaxl33/Iel3bdV33p7Sq3v6/98ycOfOZOTNn5nyf51l/ysP0DD8fH98o tf87t4Ek5+9fEi3M/lsEePzcGPFznsR10B3+n/Nf0xTmvpJ44IXZWnPKn9yg hjtLovfTTjELyjsUDU9NTJPYaWXsZknZk2XNx5wgkSPUpGxNmZ7snPJxhMTy PwZHbCh/M/fe0zlAYnVUZYsd5V0rw/qaekic3rCnyJHy1ca4q+87SLyhXfLv acqlN55IVjST6HRKLceZ8i94SWfUkVipVlDqSnnPfKnp62oSTW1oWy9RDqDX zeaWk6j6kM7vTbncvTsmnUHitxJtbT/K+0Y/NTx8RWLxRisinPL1x3+d72WT KGD3SSOacpWF8JLoFyR+OhH36x5l/SbF/cGPSFQTnHn5jPKNcI0R33gS7Xfm PMqm/H6ffpBnHInjfN7cQsqHiuzLzt4kMWrprpIaypEeblYOISQu0d5Oa6Hc pOT33SqAxMg5bZFeykYp8WqGniTKJcR94lI2vdmco2ZPYkLMOdu15gTc0+0/ tNWaxJMXFGY3U+76xZ5UMKPyKVo8oU7Z/KKAvPQRKg8t9V/HKJ+00k7m20Wi g3FoYyTlZPFDWvM06r/ORPskUR5qNu+dUyHxJbsxPJuyg97lVZMbqPfJ2ZZG yqe3ZEU1i5CYmKy0WNyCgBfjxcoflpIYc2hT0ybKE09q6ioESNwV6PpVk/L5 VUwB+jwPd+znXHKg7P5HMiBpgofRqnzidMo+rWFu58p5ODRW+MPNkoCoae+e L294GEImiN+i/GzJed2Q1zzc33Yl7TnlJjCUeJzJw+wk2oZByhvyJd513OWh O08/+bgVAS2x6cv3nuMh2CyIMLcmYCw30bvRkYfc7Ypfr1L+WRfJtLSh7itn 9jyiLL/Ag+5pwkP51y2/WZSvXdplk6XNQ0cJ3zrvkwQomNblrBLlYWfk8wt0 G6qe3EslngnxkF1YShuibBKZG6S6iIf2tU/dBG0J8K+KPX54fgaTXf4Y2FHu 2GH1K2hsBn2YrOAVdlT9iXMOT7+ZQbVFP1dH2FN5dS3jVDrO4M2EkrUdp6h6 O11UnmMzg38y56YWOxGw7YvdvQcWM+iRSq7bQzlCvHDPecMZ/PDlcHUGZR1T yzuiu2cwNCaKHXqagPTW5+r2ojPY8tG26NhZql8adIJ+l3MxbT0jeacLAZus J49PMLhoaex9xYdyx1SsYhudi36F20sYlFWWjrWnZXPRS7L+ClwgYORApPyR eC4ula9gHnMl4HBtd/1DNy46DZX5hLkT8L8Kj1W7ZLgYSfv0e48nlY/YTi8t KS5mtfUERFK+dma+U0eMi/5Cq8/0Uu4WunFPX5CLrre7z17xIiDWLEnM9Ms0 st9laNKvELBwukbUrWkaxSxz5f65SsCUhLRwmv80ptJHbOkBBCQ6D7um+0zj vO/nKpFAAgzKnjdlXZ7G9tCFsecpP3NQjcp3nkZrJftTckEE2OToLys/MY3S jtFTd4MJaN3nsfSjyjTmvfeLuR1KQNGFmkUrBjmoK+H0qPEWAZpy7rT0Hg7y +XVNakdS86VLylang4PX1jHzcylX6FygX/jAQReV1Yw7twloWCHmVFfAQWdR o+cnowlgvravuB7OwSIX5R9CcQQI/Z6/9kWVg7TfWSp1iVQ/RdFmP4ZMYWhu aE1lFvU/9LvhzQFTeCUzcv/BbAIeDMzJVF6dwklXafVWyg0qxYcy3afwRvlm l6EcAtSatdK8raewROAfFf48AhaL6JuL75jCZEnptfaFBOTeMX97dISNZWWz Wh5lBPy46xeBwMZ48yXeMy0ETMpUcgy02Phg/Y23Ka1UHumLDVvU2Vhxb8Ud 4zYCXpfGrRxUYqP0ofreonaqX1kZSfPibDwiaMh/s4uAUVpX7k72JEpXNNTv 76P6rU2lPSd2Ehk71qxUnCAgTWRoTeLIBMoq9SxM+0vNl8O0y523xlGB4K8J 1OyGEFfHq0qHxjB7k8ELee9u8FuY7XN5hoX50TQhyepucAxule/OHMHltlum t0r0wIN344nJLkwkQ4snt13sgdJhxeW5G4bwOaTW8zF7YKPoPr0TKf1oaLJb U928FwqVI1xYo71Y9a75xdBkLwzXFshpaHSjtENYhFjURxhXebADizuxR6HU I35PHygHvuCxczpxO0PvdAv0gXtrUbZYaicOBjl5Ce7vgx+Xujecvd2JezPJ 2ZBDfSBUIiUu7NCJA2cYKXHmfbBdN2nOemkniqUY/5C61Ad+Zk/o3052oLOy 0O++jD5YGZilsW1BO1rtff55SKYfwosV60S/t2HgUNbRy3L9MM/LsJrjtuHB 3b2bBOX7gWWf7v+mtw1PFhid0t7SD4W6aVV6+W1Y/dnGtmJ3P5guemxkYd+G drUzew9Y9MPmNeub+fxase9h3DbH+/2gokGqvJhrwh5ikWaa1ACc3RYUxBhs whTF7D3GMgPwRGFFR/OHJrTI+eu0YP0AiEmp+nx71IR9YUM7LyoPwPfv7pUH 9JtQkP0jI1hnAKoYPDPO/UacdDNZ5nl6ACx1eIGqGg14Q8O9v7NoAO7uDGzf L9eA4t6yheJlA9C4VUTeUqgB392/kWlZMQB7ZbfVBw/VY7plzZrPDQOw8a+b eEd4PfLsn6w+zRwAXsVMhldPHWrwTqgZLh+EUP2ZNsbVD2gXq7ohyHkQqg5y j6k7fUBrjegtJ90Hgc9wuiXP8AO+jcn31fEaBH+zqaa0DR+Qj+soKRE8CN5n x+uim95j+jetNysTB8E5YrDCUe49vkyPOn60fhCONjXnL62rQY/QFOuttCGI bGtSDSusQdrrfIOZXUNQ19WY929yDa6XJ62K9g7BP4P1uXOXarDhgh/YHR2C vbzazMG1Nagm+0tSwnkItouWPy3wqEbVBTlHFVOHQOJEXqyVVBU2L96+N1B6 GAoVbpf+s7AKoxMFtUfXD4Pxz3NjNLISWYv935soDUNkynpNoQ+V6LhOf/yI 5jD8y74/XOpdieeccnuLzYdhIsBvm0x3BSbXJp0JeDAM7sfiEt8pIcZ/G6v6 IMyEzC+HuQ8WILJS85gqYkxgPRTY5/6xHMXKFe8lSjLBfMxnUvZWOaY8i/ob uo4J4GunEcx+h7RomuBLGhNE07Z06WW8xVlbD08rCyYUfqtdUSdfip7jfnFl mUyIyX5WtfcnAx/JS5fE5THhgl3QlaJmBl5/cXmdJ50J8u81+595M7BA29Da soIJ8Q9y0gPq3qCY6kLJgl4mXFOP01FzLcG+NaNJ1ctGwJztNpu1rwSfcc7V nxIbAbXkw2lyEiW4ttZlu+iaEeAuFFgqUl6MZ7x5t+MVRsCu07uLvaIY7zI5 fy30RkDvss2FlNd0lNZL4U74j4Cswm5ZiQg6ih4btboZNgK/Pkq037ahY/pK S9CKGgG6bquG7yI6Lkx4WNn7aAQUVurxn7B4jd2hfAf5346AUP7mh0t/FWCD h1uRDR8LJpwEjga3FqCtrwNpvJQF1VIj/35LK8BMS90ldmIs8A9KOj12tADZ W6p7auRZwDMS3o4p+ejKpy/cdZgFL/rHo6fC8rB4mbJtcDIL+vwlnzxWy0MN s+/HY9NZICJ7IN+E9RJPJ30dKM9ngbdDZgcDXuKUSfqpa7UsMBh3kYqcz8H0 kLA3QbMsYPPIp8oXs1Dlewgt0HAUZGLlCodks3BLgLBzj9UoGNNMqu82Z6JD M8fF9uwovPEsHJ9XzkSL6uGsL0GjcOuHl3LjeDoWEzHZXkWjoMw///rCyed4 JkpZUmzLGNilKdeuE6L85mDepNYY3NU/2d35Jg1ZZXwMgSNjMB/+9oe2ZBpe Xs0hZF3HoHFZkM7y9lRUvVSqKls4BnwvXxlVBKViwln+bN+aMVA3Ytp7bUtF 37LjiWo9Y5AcqxsycPspnlimf7P9zxj0KgvGWEWnYMbWCjsl43HY53Y+v5Lz GF1mw35yzoxD5quGDqWDjzHPNHNum/84+KpHS83zJ2PrjMGEWfY4SO8VS026 +hDPxK8MGhaegJBgz2r+7kTUXJ+ddUlxAqarusZd1BLxwJqimqr9E/D2QIKy Ni8e4zun9Jr8J8DWRIbe73Qf8zbc6ur/OQHcua+7r9Tcw9MPpP3F106Cf3wr imy6h2mMVx0eOpOQ3B/SqDsRh1r/KhZM3pgElUAbk36DOGR01GjQciehTE6j xysjFnWD/IV+d04CvbGj9lh7DDqKlQrHKbKhSzS8PeRuNCp5H415ZsaGObPd g0XHo1Dq7XnT2jA27GA++bK2+xaeevMqegmHDSabjvMdS4jAzxnEphS5Kbjo snh5iOVN9C1KddhlPQWvvrhuZPeFoYAxdPX2TEHLbjnVtcmhSH6Vly2X4QAv sFPLyDYER1TPs53PckC4Jtzguux19C4ZT7hZxAFLMa/nzhiERoWaPrNC05CQ 3FfWohuAplsZH/POTUO3gm6nes01DFRDOcnmaVhVkMFJMriKSis2ywzt4cJx bRH+BfVXcNO3d+NGDC6I6bntvGPhicFHqlX69Wbg/6kcnVM= "]], LineBox[CompressedData[" 1:eJwVlVk8FAoDxUUZS2QpUvatLElaLNGp0E7hFteuLF1LJEsuuZRK6kqSsiRl amwZRJPCyITJljFhshtLKMZEZdzi8z2c33k4/4fzdI7K6UBbL34+Pr6by/q/ H04KlMyP9ETMUZpuz/4pLEZHZDza6gWbT92DFMkpxPgW+jO1fbHB4Drh8tIX CJwaMCNoBiJ+1jT5uMIX0JRvXH8oEQzhi22GH5wnEZeqGmSYGIKwELK5RfkE DqyudGCIhmN2dXTvnPIECJdP7vO7EQHqlkLC14xx0H9Oa60iRKFawcf3hNo4 EgLipR7FRcOzZeKMQPlnPOMmXZKPjYFj8Y5j3sc/w8dH2/vl4mUIpcqMBaSN 4ZBquOMVszh8ONvZjoNj2NxHsz4RdRV7NTuTl3ijmLR1MZzkXYemld2ihv8o GsXydShGN1AitZZG1h5FAf2HUlx4ArwFpPy9vo7Af0+SkOL3W3DuUPfYfnEE VrzeX5PbE5Ekmq3Zvm8EemVaXErwbcRWC9c/ExvBfMrQ183zSWB+V0s+UDCM CpHIjtrQuyBeoWzLWWAje8s6Jlk1BXGBB7eTWtm4doLclvkhBcrcg3dUiGz8 kTrcFKaVine7XAY32rExo3KsVrvvAQiB412C1CF0WYxRZRPSIOv7Ivhm5hCq fWKqVhqmo54/hTj/9xBuPi971Z+UgQLVUBtXkyFoGiuQky2yoOMUe2RP7SBW O1MK/+FmYSGg5b/PTwcxG22T75/1CP2nwqT1Ewbhzq61VYvKRnXNuHTsH4PQ 2/zT6nfHY6z/b8JFcGAA71+4WZTcIGK93P29HaH9MK3TpW0aJKLZl9ovf6wf xZ28fVm7nsJj4GeIlFo/Unl3cXP4KZ5Xr/zAbe+DJ+gmXmYkBGrXEX8Y92Gp UX+bHDcPYyYSev4qvQju/U2+fTAfFWFa+8L5ejE21agnmJWPPexR+ZmBHjRL eOnOHilAS4iZoXJ2D9JPpW1qIRbCM9fmtYFGD3ayVyjGOpBBlLRT1NvbDb3X 9lz9PDLkWZZHGjW7oZn8/N0gjwyV3R5/5op1Q/Rx4c5sq2K0Tg/yafR+wq8T Dr1L08XwWZTNWIz8hL5ishZ1WynaJ3fqoJ6F7kxHaVnHUlwzinM8X8xCZ/yq 3+cul8KM9Tz1YzoLre5ObYrMUsTwqU9oB7FQLUEIjw55gbistfwrFFh4FOT6 zoxShhofYnlpdBcynYWL7g2UoWzFHDnTrwsPDpXdnyKU49Yv64xChy4kKYv4 PXQoh4HRZkHT7V2IaSuX/M0rB/mjo6rIZCc89MXcKk0pCDtcFzXn0gm1mTc8 k9oKtPJ4OkLOHYhqMY+bm6qA+fnW4qtHO9CZ3yReJPcaq2Mvaijv7kCCV4+a yvnXcFDrccvf0IGZ7gUrgvIbSDrVC4v0fER1nfET5qVK3M/cZFbg/hGOGZQj /sZU0B598//rEhNlF9Gh4UVFCKl0/0QgE+KnGtwGkqgwUikcjjrNxFuJrhDb cSpstnqR+w8ysdY88njm0Rr0Tlx+eU2aichX6RGXF2oQJHLYx6yoHYdzPrVY O9SCvXMwWHKGgZmrRd51AbWoNHnsPjrCwIOzV5Z2X6mFEdnYoOETA+NbtmzT KqrFlt4w/jIaA/GvYlIEVtJQ/uZPnt4DBugtm5xekWn4cs8uO8mcgYPzoeMq hDo8y65KPpTTBksrKYHv5Q0Qe/Is2UXgAxI9hLm89w04TmTM3p1tBSuUb2Cx rwEFtwW+s4Zb4Zs1/VpIkI5vfhXhie9akchpDJY/RYdOn+gU8doyf+cK2/zH cm78b72f2DLfOfc2eVcj1kh/vtCi3oLbbl0x+pRmqL/MkOkKa8K1r6YYa27G lX6a9qq/mhAd8eR3BrsZRxoFZODUhHN3A/4miLdAa6BStxNNsG4QCOn3bIGs t1DMbeEmiG/V97kl1YpSi62uyo8akbgYbzUe8AFpdxOXrNvfo8FaQeyEFAMG Wio72SfpWKs3JBMsz0DNmWGu7VE63MWeKqdoMuB0UkaiaS8dC026O1gmDDC9 5I4zdOjQPWzq5H6GgbZvbdM7+OlIMnfKCypjwEXP7qFNcQMcjdIs75xqB5tu Q8mXbMCUyrro9nQmwqm5x+w+1yE0RMfjtkwnfhB+8rh9NHT1Sth601lottjn FPfjLdwjTD8TjvVAKWfNkpRfDWg6hgm0Vf0omVhKfzFWBU3hynHioeWdCjIm rI16A4VKP8tV8UP4uW4p1t+tAnwL/HnBbDaelPxb/tuOgp82Va51Gss7bDIQ HZlVjp4dbhs14kZRk9arc2HuBYLsJSRVe8eQmTDjGh9VCrmUEYeVCuMYNdSV 5+0pQZFTNmn24gTcU0Rv+goWw97sn0P0qkk0cgfSpBeeo8Q1QNXk1/Lv5X3d 2ahQiHkRc4GKk1OwlxCfFbHMhy1j9y6FB9MI2KiuMVScC5Hdom8rH07jnoLO C6X8XLwldh91zpnGJz9qlXtOLvQvRnhkFE1jff2U+eS9XIgrUW7J1U1D2152 bkNkLt77Gwyv+zaNae0Lw1zLXOwV0koSP8aBel694rk+EubPz28osuFg26Wt qxc6SSD3NDy1sufAZ9jaNr6NBEWy95tbpzkYuuo+UkAj4ddJ4phIBAce3Ncr 1uSTQMlRMiM84yCzMsfAIpyEc2KchmcFHPRlmOh8DyJBM7za9kAJBzc2Jfjl +pKQcsTl7NVKDp7EbKaucyUhmJt+V4DJgaeP/T1RSxK0nXwVc1gcjFOJRa17 SBh6Z5y3v58DAStPQooRCScesKpjJ5b7UlQuaOiSIMSfe1iFwwGhe20cV4ME ql/4x5o5Do5WerZRlUgI6zjg5r7AwYSfmH2SHAl6kJlcWuIg5Lqo7BlpEv4H XLNMpw== "]]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesOrigin->{0, 0}, PlotRange->{{-1, 1}, {0., 0.9144111513399906}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"Series", "[", RowBox[{ RowBox[{ RowBox[{"BOutside", " ", "/.", RowBox[{"{", RowBox[{ RowBox[{"a", "\[Rule]", "2"}], ",", RowBox[{"b", "\[Rule]", "2"}], ",", RowBox[{"c", "\[Rule]", "2"}]}], "}"}]}], "/.", " ", RowBox[{"{", RowBox[{ RowBox[{"x", " ", "\[Rule]", " ", "0"}], ",", " ", RowBox[{"y", " ", "\[Rule]", " ", RowBox[{"1", "+", "\[CurlyEpsilon]"}]}], ",", " ", RowBox[{"z", "->", " ", RowBox[{"1", "+", "\[CurlyEpsilon]"}]}]}], "}"}]}], ",", " ", RowBox[{"{", RowBox[{"\[CurlyEpsilon]", ",", " ", "0", ",", " ", "0"}], "}"}], ",", " ", RowBox[{"Assumptions", " ", "\[Rule]", " ", RowBox[{"\[CurlyEpsilon]", ">", "0"}]}]}], "]"}], "//", "Quiet"}], "//", "FullSimplify"}]], "Input"], Cell[BoxData[ RowBox[{"{", RowBox[{ InterpretationBox[ SuperscriptBox[ RowBox[{"O", "[", "\[CurlyEpsilon]", "]"}], "2"], SeriesData[$CellContext`\[CurlyEpsilon], 0, {}, 2, 2, 1], Editable->False], ",", InterpretationBox[ RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"Log", "[", RowBox[{ FractionBox["1", "4"], " ", RowBox[{"(", RowBox[{"3", "+", SqrtBox["5"]}], ")"}], " ", "\[CurlyEpsilon]"}], "]"}], RowBox[{"2", " ", "\[Pi]"}]]}], "+", InterpretationBox[ SuperscriptBox[ RowBox[{"O", "[", "\[CurlyEpsilon]", "]"}], "1"], SeriesData[$CellContext`\[CurlyEpsilon], 0, {}, 0, 1, 1], Editable->False]}], SeriesData[$CellContext`\[CurlyEpsilon], 0, {(Rational[-1, 2]/Pi) Log[(Rational[1, 4] (3 + 5^Rational[1, 2])) $CellContext`\[CurlyEpsilon]]}, 0, 1, 1], Editable->False], ",", InterpretationBox[ RowBox[{ FractionBox[ RowBox[{"\[Pi]", "-", RowBox[{"4", " ", RowBox[{"ArcCot", "[", "3", "]"}]}]}], RowBox[{"8", " ", "\[Pi]"}]], "+", InterpretationBox[ SuperscriptBox[ RowBox[{"O", "[", "\[CurlyEpsilon]", "]"}], "1"], SeriesData[$CellContext`\[CurlyEpsilon], 0, {}, 0, 1, 1], Editable->False]}], SeriesData[$CellContext`\[CurlyEpsilon], 0, {(Rational[1, 8]/Pi) (Pi - 4 ArcCot[3])}, 0, 1, 1], Editable->False]}], "}"}]], "Output"] }, Open ]], Cell["Absolute size", "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Norm", "[", RowBox[{ RowBox[{ RowBox[{"BOutside", " ", "/.", RowBox[{"{", RowBox[{ RowBox[{"a", "\[Rule]", "2"}], ",", RowBox[{"b", "\[Rule]", "2"}], ",", RowBox[{"c", "\[Rule]", "2"}]}], "}"}]}], "/.", " ", RowBox[{"{", RowBox[{ RowBox[{"x", " ", "\[Rule]", " ", "0"}], ",", " ", RowBox[{"y", " ", "\[Rule]", " ", RowBox[{"1", "+", "\[CurlyEpsilon]"}]}], ",", " ", RowBox[{"z", "\[Rule]", " ", RowBox[{"1", "+", "\[CurlyEpsilon]"}]}]}], "}"}]}], "/.", RowBox[{"\[CurlyEpsilon]", " ", "\[Rule]", " ", RowBox[{"10.", "^", RowBox[{"-", "6"}]}]}]}], "]"}]], "Input"], Cell[BoxData["2.1572051919749278`"], "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["2) Use function representations", "Subsection"], Cell[TextData[{ StyleBox["Mathematica", FontWeight->"Bold", FontSlant->"Italic"], ": limits, derivatives, integrals \[DoubleLongRightArrow] evaluated results \ (functions, expressions)" }], "Text"], Cell[TextData[{ StyleBox["Wolfram|Alpha", FontWeight->"Bold"], ": (functions, expressions) \[DoubleLongRightArrow] unevaluatedlimits, \ derivatives, integrals" }], "Text"], Cell["\<\ Wolfram|Alpha knows series, product, limit, integral, continued fraction \ representations of many functions\ \>", "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "\"\\ \"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ FrameBox[ TagBox[ RowBox[{ RowBox[{ SuperscriptBox["cos", RowBox[{"-", "1"}]], "(", "x", ")"}], "\[LongEqual]", RowBox[{ FractionBox["\[Pi]", "2"], "-", FractionBox[ RowBox[{"x", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["x", "2"]}]]}], RowBox[{"1", "+", RowBox[{ UnderoverscriptBox[ StyleBox["\[CapitalKappa]", FontSize->4 + Inherited], RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{ RowBox[{"-", "2"}], " ", SuperscriptBox["x", "2"], " ", TemplateBox[{FractionBox[ RowBox[{"1", "+", "k"}], "2"]}, "Floor"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"2", " ", TemplateBox[{FractionBox[ RowBox[{"1", "+", "k"}], "2"]}, "Floor"]}]}], ")"}]}], RowBox[{"1", "+", RowBox[{"2", " ", "k"}]}]]}]}]]}], "\[LongEqual]", RowBox[{ FractionBox["\[Pi]", "2"], "-", FractionBox[ RowBox[{"x", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["x", "2"]}]]}], RowBox[{"1", "+", StyleBox[ RowBox[{"-", FractionBox[ RowBox[{"2", " ", SuperscriptBox["x", "2"]}], RowBox[{"3", "-", FractionBox[ RowBox[{"2", " ", SuperscriptBox["x", "2"]}], RowBox[{"5", "-", FractionBox[ RowBox[{"12", " ", SuperscriptBox["x", "2"]}], RowBox[{"7", "-", FractionBox[ RowBox[{"12", " ", SuperscriptBox["x", "2"]}], RowBox[{"9", "+", "\<\"\[Ellipsis]\"\>"}]]}]]}]]}]]}], StripOnInput->False, ScriptSizeMultipliers->1]}]]}]}], HoldForm], FrameMargins->{{-1, -1}, {3, 3}}, FrameStyle->None], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "1"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ FrameBox[ TagBox[ RowBox[{ TemplateBox[{"u","m"}, "JacobiSN"], "\[LongEqual]", FractionBox[ RowBox[{"2", " ", RadicalBox[ TemplateBox[{"m"}, "EllipticNomeQ"], "4"], " ", RowBox[{"(", RowBox[{ UnderoverscriptBox["\[Product]", RowBox[{"k", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{"1", "-", RowBox[{"2", " ", RowBox[{"cos", "(", FractionBox[ RowBox[{"\[Pi]", " ", "u"}], TemplateBox[{"m"}, "EllipticK"]], ")"}], " ", SuperscriptBox[ TemplateBox[{"m"}, "EllipticNomeQ"], RowBox[{"2", " ", "k"}]]}], "+", SuperscriptBox[ TemplateBox[{"m"}, "EllipticNomeQ"], RowBox[{"4", " ", "k"}]]}], RowBox[{"1", "-", RowBox[{"2", " ", RowBox[{"cos", "(", FractionBox[ RowBox[{"\[Pi]", " ", "u"}], TemplateBox[{"m"}, "EllipticK"]], ")"}], " ", SuperscriptBox[ TemplateBox[{"m"}, "EllipticNomeQ"], RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"2", " ", "k"}]}]]}], "+", SuperscriptBox[ TemplateBox[{"m"}, "EllipticNomeQ"], RowBox[{ RowBox[{"-", "2"}], "+", RowBox[{"4", " ", "k"}]}]]}]]}], ")"}], " ", RowBox[{"sin", "(", FractionBox[ RowBox[{"\[Pi]", " ", "u"}], RowBox[{"2", " ", TemplateBox[{"m"}, "EllipticK"]}]], ")"}]}], RadicalBox["m", "4"]]}], HoldForm], FrameMargins->{{-1, -1}, {3, 3}}, FrameStyle->None], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Use limit representations", "Subsubsection"], Cell[TextData[{ "pseudo\[Hyphen]differential operator (from ", ButtonBox["arxiv:1105.5978", BaseStyle->"Hyperlink", ButtonData->{ URL["http://arxiv.org/pdf/1105.5978"], None}, ButtonNote->"http://arxiv.org/pdf/1105.5978"], ")" }], "Text"], Cell[BoxData[ FormBox[ RowBox[{ FrameBox[ RowBox[{ RowBox[{ RowBox[{"ln", "(", SubscriptBox["\[PartialD]", "x"], ")"}], RowBox[{"ln", "(", "x", ")"}]}], "=", "?"}], StripOnInput->False], " "}], TraditionalForm]], "Input", Evaluatable->False], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "2"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ FrameBox[ TagBox[ RowBox[{ RowBox[{"log", "(", "x", ")"}], "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"\[Omega]", "\[Rule]", "\[Infinity]"}]], "\[ThinSpace]", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["x", FractionBox["1", "\[Omega]"]]}], ")"}], " ", "\[Omega]"}]}]}], HoldForm], FrameMargins->{{-1, -1}, {3, 3}}, FrameStyle->None], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]], Cell[BoxData[ StyleBox[ RowBox[{ RowBox[{ RowBox[{"\[DoubleLongRightArrow]", StyleBox[" ", "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None], FormBox[ FrameBox[ TagBox[ RowBox[{ RowBox[{ RowBox[{"ln", "(", SubscriptBox["\[PartialD]", "x"], ")"}], RowBox[{"ln", "(", "x", ")"}]}], "\[LongEqual]", RowBox[{ UnderscriptBox["lim", RowBox[{"\[Epsilon]", "\[Rule]", "0"}]], "\[ThinSpace]", RowBox[{"(", FractionBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", FractionBox["\[PartialD]", RowBox[{"\[PartialD]", "x"}]], ")"}], SubscriptBox["\[Epsilon]", "1"]], "-", "1"}], SubscriptBox["\[Epsilon]", "1"]]}]}]}], HoldForm], FrameMargins->{{-1, -1}, {3, 3}}, FrameStyle->None], TraditionalForm]}], ")"}], RowBox[{"(", StyleBox[ RowBox[{ UnderscriptBox["lim", RowBox[{ SubscriptBox["\[Epsilon]", "2"], "\[Rule]", "0"}]], "\[ThinSpace]", FractionBox[ RowBox[{ SuperscriptBox["x", SubscriptBox["\[Epsilon]", "2"]], "-", "1"}], SubscriptBox["\[Epsilon]", "2"]]}], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None], ")"}]}], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Input", Evaluatable->False, FontWeight->"Plain"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "2"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ FrameBox[ RowBox[{ TagBox[ RowBox[{ FractionBox[ RowBox[{ SuperscriptBox["\[PartialD]", "\[Alpha]"], SuperscriptBox["z", "a"]}], RowBox[{"\[PartialD]", SuperscriptBox["z", "\[Alpha]"]}], MultilineFunction->None], "\[LongEqual]", FractionBox[ RowBox[{ TemplateBox[{RowBox[{"a", "+", "1"}]}, "Gamma"], " ", SuperscriptBox["z", RowBox[{"a", "-", "\[Alpha]"}]]}], TemplateBox[{RowBox[{"a", "-", "\[Alpha]", "+", "1"}]}, "Gamma"]]}], HoldForm], "\[InvisibleSpace]", StyleBox[ RowBox[{ InterpretationBox[Cell[BoxData[ FormBox[ StyleBox["\<\" for \"\>", StripOnInput->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}, LineColor->GrayLevel[0.6], FrontFaceColor->GrayLevel[0.6], BackFaceColor->GrayLevel[0.6], GraphicsColor->GrayLevel[0.6], FontFamily->"Helvetica", FontSize->Smaller, FontColor->GrayLevel[0.6]], TraditionalForm]], "Text", "TR"], Text[ $CellContext`GrayText[" for ", BaseStyle -> "Unit"]]], "\[InvisibleSpace]", TagBox[ RowBox[{ StyleBox["\<\" not \"\>", StripOnInput->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}, LineColor->GrayLevel[0.6], FrontFaceColor->GrayLevel[0.6], BackFaceColor->GrayLevel[0.6], GraphicsColor->GrayLevel[0.6], FontFamily->"Helvetica", FontSize->Smaller, FontColor->GrayLevel[0.6]], "\[InvisibleSpace]", RowBox[{"(", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "a"}], "\[Element]", TagBox["\[DoubleStruckCapitalZ]", Function[{}, Integers]]}], "\[InvisibleSpace]", StyleBox["\<\" and \"\>", StripOnInput->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}, LineColor->GrayLevel[0.6], FrontFaceColor->GrayLevel[0.6], BackFaceColor->GrayLevel[0.6], GraphicsColor->GrayLevel[0.6], FontFamily->"Helvetica", FontSize->Smaller, FontColor->GrayLevel[0.6]], "\[InvisibleSpace]", RowBox[{ RowBox[{"-", "a"}], ">", "0"}]}], ")"}], ")"}]}], HoldForm]}], StripOnInput->False, LineColor->GrayLevel[0.6], FrontFaceColor->GrayLevel[0.6], BackFaceColor->GrayLevel[0.6], GraphicsColor->GrayLevel[0.6], FontColor->GrayLevel[0.6]]}], FrameMargins->{{-1, -1}, {3, 3}}, FrameStyle->None], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Limit", "[", RowBox[{ RowBox[{ FractionBox["1", "\[Epsilon]1"], RowBox[{"(", FractionBox[ RowBox[{ RowBox[{ FractionBox[ RowBox[{"Gamma", "[", RowBox[{"\[Epsilon]2", "+", "1"}], "]"}], RowBox[{"Gamma", "[", RowBox[{"\[Epsilon]2", "-", "\[Epsilon]1", "+", "1"}], "]"}]], SuperscriptBox["x", RowBox[{"\[Epsilon]2", "-", "\[Epsilon]1"}]]}], "-", RowBox[{ FractionBox[ RowBox[{"Gamma", "[", "1", "]"}], RowBox[{"Gamma", "[", RowBox[{ RowBox[{"-", "\[Epsilon]1"}], "+", "1"}], "]"}]], SuperscriptBox["x", RowBox[{"-", "\[Epsilon]1"}]]}], " ", "-", RowBox[{"(", RowBox[{ SuperscriptBox["x", "\[Epsilon]2"], "-", "1"}], ")"}]}], "\[Epsilon]2"], ")"}]}], ",", " ", RowBox[{"\[Epsilon]2", "\[Rule]", "0"}]}], "]"}]], "Input"], Cell[BoxData[ RowBox[{"-", FractionBox[ RowBox[{ SuperscriptBox["x", RowBox[{"-", "\[Epsilon]1"}]], " ", RowBox[{"(", RowBox[{"EulerGamma", "-", RowBox[{"Log", "[", "x", "]"}], "+", RowBox[{ SuperscriptBox["x", "\[Epsilon]1"], " ", RowBox[{"Gamma", "[", RowBox[{"1", "-", "\[Epsilon]1"}], "]"}], " ", RowBox[{"Log", "[", "x", "]"}]}], "+", RowBox[{"PolyGamma", "[", RowBox[{"0", ",", RowBox[{"1", "-", "\[Epsilon]1"}]}], "]"}]}], ")"}]}], RowBox[{"\[Epsilon]1", " ", RowBox[{"Gamma", "[", RowBox[{"1", "-", "\[Epsilon]1"}], "]"}]}]]}]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Limit", "[", RowBox[{"%", ",", " ", RowBox[{"\[Epsilon]1", "\[Rule]", "0"}]}], "]"}]], "Input"], Cell[BoxData[ RowBox[{ FractionBox["1", "6"], " ", RowBox[{"(", RowBox[{ SuperscriptBox["\[Pi]", "2"], "-", RowBox[{"6", " ", "EulerGamma", " ", RowBox[{"Log", "[", "x", "]"}]}], "-", RowBox[{"6", " ", SuperscriptBox[ RowBox[{"Log", "[", "x", "]"}], "2"]}]}], ")"}]}]], "Output"] }, Open ]], Cell[BoxData[ FormBox[ RowBox[{ FrameBox[ RowBox[{ RowBox[{ RowBox[{"ln", "(", SubscriptBox["\[PartialD]", "x"], ")"}], RowBox[{"ln", "(", "x", ")"}]}], "=", RowBox[{ FractionBox["1", "6"], " ", RowBox[{"(", RowBox[{ SuperscriptBox["\[Pi]", "2"], "-", RowBox[{"6", " ", RowBox[{"log", "(", "x", ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"log", "(", "x", ")"}], "+", TagBox["\[DoubledGamma]", Function[{}, EulerGamma]]}], ")"}]}]}], ")"}]}]}], StripOnInput->False], " "}], TraditionalForm]], "Input", Evaluatable->False] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["\<\ Use integral representations\[LongDash]Exercise \ \>", "Subsubsection"], Cell[TextData[{ "another pseudo\[Hyphen]differential operator (from ", ButtonBox["arxiv:1009.5313", BaseStyle->"Hyperlink", ButtonData->{ URL["http://arxiv.org/pdf/1009.5313v1"], None}, ButtonNote->"http://arxiv.org/pdf/1009.5313v1"], ")" }], "Text"], Cell["Show:", "Text"], Cell[BoxData[ FormBox[ RowBox[{ FrameBox[ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", SubscriptBox["\[PartialD]", "x"], ")"}], "!"}], RowBox[{"sin", "(", "x", ")"}]}], "=", FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"\[ImaginaryI]", " ", "x"}]], " ", TemplateBox[{"\[ImaginaryI]"}, "Gamma"]}], "+", RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "\[ImaginaryI]"}], " ", "x"}]], " ", TemplateBox[{RowBox[{"-", "\[ImaginaryI]"}]}, "Gamma"]}]}], "2"]}], StripOnInput->False], " "}], TraditionalForm]], "Input", Evaluatable->False], Cell["Hint :", "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "2"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ FrameBox[ RowBox[{ TagBox[ RowBox[{ RowBox[{"n", "!"}], "\[LongEqual]", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Infinity]"], RowBox[{ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"-", "t"}]], " ", SuperscriptBox["t", "n"]}], RowBox[{"\[DifferentialD]", "t"}]}]}]}], HoldForm], "\[InvisibleSpace]", StyleBox[ RowBox[{ InterpretationBox[Cell[BoxData[ FormBox[ StyleBox["\<\" for \"\>", StripOnInput->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}, LineColor->GrayLevel[0.6], FrontFaceColor->GrayLevel[0.6], BackFaceColor->GrayLevel[0.6], GraphicsColor->GrayLevel[0.6], FontFamily->"Helvetica", FontSize->Smaller, FontColor->GrayLevel[0.6]], TraditionalForm]], "Text", "TR"], Text[ $CellContext`GrayText[" for ", BaseStyle -> "Unit"]]], "\[InvisibleSpace]", TagBox[ RowBox[{"(", RowBox[{ RowBox[{"n", "\[Element]", TagBox["\[DoubleStruckCapitalZ]", Function[{}, Integers]]}], "\[InvisibleSpace]", StyleBox["\<\" and \"\>", StripOnInput->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}, LineColor->GrayLevel[0.6], FrontFaceColor->GrayLevel[0.6], BackFaceColor->GrayLevel[0.6], GraphicsColor->GrayLevel[0.6], FontFamily->"Helvetica", FontSize->Smaller, FontColor->GrayLevel[0.6]], "\[InvisibleSpace]", RowBox[{"n", "\[GreaterEqual]", "0"}]}], ")"}], HoldForm]}], StripOnInput->False, LineColor->GrayLevel[0.6], FrontFaceColor->GrayLevel[0.6], BackFaceColor->GrayLevel[0.6], GraphicsColor->GrayLevel[0.6], FontColor->GrayLevel[0.6]]}], FrameMargins->{{-1, -1}, {3, 3}}, FrameStyle->None], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["\<\ Use integral representations to find new sums\ \>", "Subsubsection"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"sum", " ", "=", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"n", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], "n"], " ", RowBox[{"BesselJ", "[", RowBox[{"1", ",", "n"}], "]"}]}], "n"]}]}]], "Input"], Cell[BoxData[ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"n", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], "n"], " ", RowBox[{"BesselJ", "[", RowBox[{"1", ",", "n"}], "]"}]}], "n"]}]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"NSum", "[", RowBox[{ FractionBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], "n"], " ", RowBox[{"BesselJ", "[", RowBox[{"1", ",", "n"}], "]"}]}], "n"], ",", RowBox[{"{", RowBox[{"n", ",", "1", ",", "\[Infinity]"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"PrecisionGoal", "\[Rule]", "12"}], ",", RowBox[{"VerifyConvergence", "\[Rule]", "False"}], ",", "\[IndentingNewLine]", RowBox[{"Method", " ", "\[Rule]", " ", "\"\\""}], ",", " ", RowBox[{"WorkingPrecision", " ", "\[Rule]", " ", "20"}]}], "]"}]], "Input"], Cell[BoxData[ RowBox[{ RowBox[{"-", "0.2500000000001001`"}], "-", RowBox[{"4.341875278136889`*^-14", " ", "\[ImaginaryI]"}]}]], "Output"] }, Open ]], Cell["\<\ General approach: use integral or series representations for functions and \ exchange integration/summation order\ \>", "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"intreps", " ", "=", " ", RowBox[{ RowBox[{"WolframAlpha", "[", RowBox[{ "\"\\"", ",", " ", "\"\\""}], "]"}], "//", "\[IndentingNewLine]", RowBox[{ RowBox[{"Select", "[", RowBox[{"#", ",", " ", RowBox[{ RowBox[{"FreeQ", "[", RowBox[{"#", ",", " ", "_Condition", ",", " ", "\[Infinity]"}], "]"}], "&"}]}], "]"}], "&"}]}]}]], "Input"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"HoldComplete", "[", RowBox[{ RowBox[{"BesselJ", "[", RowBox[{"1", ",", "n"}], "]"}], "\[Equal]", RowBox[{"-", FractionBox[ RowBox[{"\[ImaginaryI]", " ", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Pi]"], RowBox[{ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"\[ImaginaryI]", " ", "n", " ", RowBox[{"Cos", "[", "t", "]"}]}]], " ", RowBox[{"Cos", "[", "t", "]"}]}], RowBox[{"\[DifferentialD]", "t"}]}]}]}], "\[Pi]"]}]}], "]"}], ",", RowBox[{"HoldComplete", "[", RowBox[{ RowBox[{"BesselJ", "[", RowBox[{"1", ",", "n"}], "]"}], "\[Equal]", FractionBox[ RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Pi]"], RowBox[{ RowBox[{"Cos", "[", RowBox[{"t", "-", RowBox[{"n", " ", RowBox[{"Sin", "[", "t", "]"}]}]}], "]"}], RowBox[{"\[DifferentialD]", "t"}]}]}], "\[Pi]"]}], "]"}], ",", RowBox[{"HoldComplete", "[", RowBox[{ RowBox[{"BesselJ", "[", RowBox[{"1", ",", "n"}], "]"}], "\[Equal]", FractionBox[ RowBox[{"2", " ", "n", " ", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "1"], RowBox[{ RowBox[{ SqrtBox[ RowBox[{"1", "-", SuperscriptBox["t", "2"]}]], " ", RowBox[{"Cos", "[", RowBox[{"n", " ", "t"}], "]"}]}], RowBox[{"\[DifferentialD]", "t"}]}]}]}], "\[Pi]"]}], "]"}], ",", RowBox[{"HoldComplete", "[", RowBox[{ RowBox[{"BesselJ", "[", RowBox[{"1", ",", "n"}], "]"}], "\[Equal]", FractionBox[ RowBox[{"n", " ", RowBox[{ SubsuperscriptBox["\[Integral]", "0", "\[Pi]"], RowBox[{ RowBox[{ RowBox[{"Cos", "[", RowBox[{"n", " ", RowBox[{"Cos", "[", "t", "]"}]}], "]"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "t", "]"}], "2"]}], RowBox[{"\[DifferentialD]", "t"}]}]}]}], "\[Pi]"]}], "]"}], ",", RowBox[{"HoldComplete", "[", RowBox[{ RowBox[{"BesselJ", "[", RowBox[{"1", ",", "n"}], "]"}], "\[Equal]", RowBox[{"-", FractionBox[ RowBox[{"\[ImaginaryI]", " ", RowBox[{ SubsuperscriptBox["\[Integral]", RowBox[{"-", "\[Pi]"}], "\[Pi]"], RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"\[ImaginaryI]", " ", RowBox[{"(", RowBox[{"t", "+", RowBox[{"n", " ", RowBox[{"Cos", "[", "t", "]"}]}]}], ")"}]}]], RowBox[{"\[DifferentialD]", "t"}]}]}]}], RowBox[{"2", " ", "\[Pi]"}]]}]}], "]"}], ",", RowBox[{"HoldComplete", "[", RowBox[{ RowBox[{"BesselJ", "[", RowBox[{"1", ",", "n"}], "]"}], "\[Equal]", FractionBox[ RowBox[{"2", " ", "n", " ", RowBox[{ SubsuperscriptBox["\[Integral]", "0", FractionBox["\[Pi]", "2"]], RowBox[{ RowBox[{ RowBox[{"Cos", "[", RowBox[{"n", " ", RowBox[{"Cos", "[", "t", "]"}]}], "]"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "t", "]"}], "2"]}], RowBox[{"\[DifferentialD]", "t"}]}]}]}], "\[Pi]"]}], "]"}]}], "}"}]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"#", "[", RowBox[{"[", RowBox[{"1", ",", " ", "2"}], "]"}], "]"}], "&"}], " ", "/@", " ", RowBox[{"(", RowBox[{"intreps", " ", "/.", " ", RowBox[{"Integrate", " ", "\[Rule]", " ", RowBox[{"Hold", "[", "Integrate", "]"}]}]}], ")"}]}], ")"}]], "Input"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"\[ImaginaryI]", " ", RowBox[{ RowBox[{"Hold", "[", "Integrate", "]"}], "[", RowBox[{ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"\[ImaginaryI]", " ", "n", " ", RowBox[{"Cos", "[", "t", "]"}]}]], " ", RowBox[{"Cos", "[", "t", "]"}]}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "\[Pi]"}], "}"}]}], "]"}]}], "\[Pi]"]}], ",", FractionBox[ RowBox[{ RowBox[{"Hold", "[", "Integrate", "]"}], "[", RowBox[{ RowBox[{"Cos", "[", RowBox[{"t", "-", RowBox[{"n", " ", RowBox[{"Sin", "[", "t", "]"}]}]}], "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "\[Pi]"}], "}"}]}], "]"}], "\[Pi]"], ",", FractionBox[ RowBox[{"2", " ", "n", " ", RowBox[{ RowBox[{"Hold", "[", "Integrate", "]"}], "[", RowBox[{ RowBox[{ SqrtBox[ RowBox[{"1", "-", SuperscriptBox["t", "2"]}]], " ", RowBox[{"Cos", "[", RowBox[{"n", " ", "t"}], "]"}]}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "1"}], "}"}]}], "]"}]}], "\[Pi]"], ",", FractionBox[ RowBox[{"n", " ", RowBox[{ RowBox[{"Hold", "[", "Integrate", "]"}], "[", RowBox[{ RowBox[{ RowBox[{"Cos", "[", RowBox[{"n", " ", RowBox[{"Cos", "[", "t", "]"}]}], "]"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "t", "]"}], "2"]}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "\[Pi]"}], "}"}]}], "]"}]}], "\[Pi]"], ",", RowBox[{"-", FractionBox[ RowBox[{"\[ImaginaryI]", " ", RowBox[{ RowBox[{"Hold", "[", "Integrate", "]"}], "[", RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"\[ImaginaryI]", " ", RowBox[{"(", RowBox[{"t", "+", RowBox[{"n", " ", RowBox[{"Cos", "[", "t", "]"}]}]}], ")"}]}]], ",", RowBox[{"{", RowBox[{"t", ",", RowBox[{"-", "\[Pi]"}], ",", "\[Pi]"}], "}"}]}], "]"}]}], RowBox[{"2", " ", "\[Pi]"}]]}], ",", FractionBox[ RowBox[{"2", " ", "n", " ", RowBox[{ RowBox[{"Hold", "[", "Integrate", "]"}], "[", RowBox[{ RowBox[{ RowBox[{"Cos", "[", RowBox[{"n", " ", RowBox[{"Cos", "[", "t", "]"}]}], "]"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "t", "]"}], "2"]}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", FractionBox["\[Pi]", "2"]}], "}"}]}], "]"}]}], "\[Pi]"]}], "}"}]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"integrandsAndRanges", " ", "=", " ", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"#", " ", "/.", " ", RowBox[{ RowBox[{ RowBox[{"Hold", "[", "Integrate", "]"}], "[", RowBox[{"body_", ",", "_"}], "]"}], "\[RuleDelayed]", " ", "body"}]}], ",", "\[IndentingNewLine]", " ", RowBox[{"#", " ", "/.", " ", RowBox[{ RowBox[{"(", RowBox[{"_.", " ", RowBox[{ RowBox[{"Hold", "[", "Integrate", "]"}], "[", RowBox[{"_", ",", "iter_"}], "]"}]}], ")"}], "\[RuleDelayed]", " ", "iter"}]}]}], "}"}], "&"}], " ", "/@", "\[IndentingNewLine]", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"#", "[", RowBox[{"[", RowBox[{"1", ",", " ", "2"}], "]"}], "]"}], "&"}], " ", "/@", " ", RowBox[{"(", RowBox[{"intreps", " ", "/.", " ", RowBox[{"Integrate", " ", "\[Rule]", " ", RowBox[{"Hold", "[", "Integrate", "]"}]}]}], ")"}]}], ")"}]}]}]], "Input"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"\[ImaginaryI]", " ", SuperscriptBox["\[ExponentialE]", RowBox[{"\[ImaginaryI]", " ", "n", " ", RowBox[{"Cos", "[", "t", "]"}]}]], " ", RowBox[{"Cos", "[", "t", "]"}]}], "\[Pi]"]}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "\[Pi]"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox[ RowBox[{"Cos", "[", RowBox[{"t", "-", RowBox[{"n", " ", RowBox[{"Sin", "[", "t", "]"}]}]}], "]"}], "\[Pi]"], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "\[Pi]"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox[ RowBox[{"2", " ", "n", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["t", "2"]}]], " ", RowBox[{"Cos", "[", RowBox[{"n", " ", "t"}], "]"}]}], "\[Pi]"], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "1"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox[ RowBox[{"n", " ", RowBox[{"Cos", "[", RowBox[{"n", " ", RowBox[{"Cos", "[", "t", "]"}]}], "]"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "t", "]"}], "2"]}], "\[Pi]"], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "\[Pi]"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"\[ImaginaryI]", " ", SuperscriptBox["\[ExponentialE]", RowBox[{"\[ImaginaryI]", " ", RowBox[{"(", RowBox[{"t", "+", RowBox[{"n", " ", RowBox[{"Cos", "[", "t", "]"}]}]}], ")"}]}]]}], RowBox[{"2", " ", "\[Pi]"}]]}], ",", RowBox[{"{", RowBox[{"t", ",", RowBox[{"-", "\[Pi]"}], ",", "\[Pi]"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox[ RowBox[{"2", " ", "n", " ", RowBox[{"Cos", "[", RowBox[{"n", " ", RowBox[{"Cos", "[", "t", "]"}]}], "]"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "t", "]"}], "2"]}], "\[Pi]"], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", FractionBox["\[Pi]", "2"]}], "}"}]}], "}"}]}], "}"}]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"n", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], "n"], " ", "#1"}], "n"]}], ",", "#2"}], "}"}], "&"}], "@@@", " ", "integrandsAndRanges"}]], "Input"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ FractionBox[ RowBox[{"\[ImaginaryI]", " ", RowBox[{"Cos", "[", "t", "]"}], " ", RowBox[{"Log", "[", RowBox[{"1", "+", SuperscriptBox["\[ExponentialE]", RowBox[{"\[ImaginaryI]", " ", RowBox[{"Cos", "[", "t", "]"}]}]]}], "]"}]}], "\[Pi]"], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "\[Pi]"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"n", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], "n"], " ", RowBox[{"Cos", "[", RowBox[{"t", "-", RowBox[{"n", " ", RowBox[{"Sin", "[", "t", "]"}]}]}], "]"}]}], RowBox[{"n", " ", "\[Pi]"}]]}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "\[Pi]"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", FractionBox[ SqrtBox[ RowBox[{"1", "-", SuperscriptBox["t", "2"]}]], "\[Pi]"]}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "1"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"n", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], "n"], " ", RowBox[{"Cos", "[", RowBox[{"n", " ", RowBox[{"Cos", "[", "t", "]"}]}], "]"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "t", "]"}], "2"]}], "\[Pi]"]}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "\[Pi]"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox[ RowBox[{"\[ImaginaryI]", " ", SuperscriptBox["\[ExponentialE]", RowBox[{"\[ImaginaryI]", " ", "t"}]], " ", RowBox[{"Log", "[", RowBox[{"1", "+", SuperscriptBox["\[ExponentialE]", RowBox[{"\[ImaginaryI]", " ", RowBox[{"Cos", "[", "t", "]"}]}]]}], "]"}]}], RowBox[{"2", " ", "\[Pi]"}]], ",", RowBox[{"{", RowBox[{"t", ",", RowBox[{"-", "\[Pi]"}], ",", "\[Pi]"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"n", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{"2", " ", SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], "n"], " ", RowBox[{"Cos", "[", RowBox[{"n", " ", RowBox[{"Cos", "[", "t", "]"}]}], "]"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "t", "]"}], "2"]}], "\[Pi]"]}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", FractionBox["\[Pi]", "2"]}], "}"}]}], "}"}]}], "}"}]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ SubsuperscriptBox["\[Integral]", "0", "1"], RowBox[{ RowBox[{"-", FractionBox[ SqrtBox[ RowBox[{"1", "-", SuperscriptBox["t", "2"]}]], "\[Pi]"]}], RowBox[{"\[DifferentialD]", "t"}]}]}]], "Input"], Cell[BoxData[ RowBox[{"-", FractionBox["1", "4"]}]], "Output"] }, Open ]], Cell[BoxData[ FormBox[ RowBox[{ FrameBox[ RowBox[{ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"n", "=", "1"}], "\[Infinity]"], RowBox[{ FractionBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "1"}], ")"}], "n"], " "}], "n"], TemplateBox[{"1","n"}, "BesselJ"]}]}], "\[Equal]", RowBox[{"-", FractionBox["1", "4"]}]}], StripOnInput->False], " "}], TraditionalForm]], "Input", Evaluatable->False] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Exercises:", "Subsubsection"], Cell["Show:", "Text"], Cell[BoxData[ FormBox[ RowBox[{ FrameBox[ RowBox[{ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"n", "=", "1"}], "\[Infinity]"], RowBox[{ FractionBox["1", SuperscriptBox["2", "n"]], " ", TemplateBox[{"n",FractionBox["1", "2"]}, "LegendreP"]}]}], "\[LongEqual]", RowBox[{ FractionBox["2", SqrtBox["3"]], "-", "1"}]}], StripOnInput->False], " "}], TraditionalForm]], "Input", Evaluatable->False], Cell[BoxData[ FormBox[ RowBox[{ FrameBox[ RowBox[{ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"n", "=", "1"}], "\[Infinity]"], FractionBox[ RowBox[{ SubscriptBox["H", "n"], "(", "1", ")"}], RowBox[{ SuperscriptBox["2", "n"], " ", RowBox[{"n", "!"}]}]]}], "\[LongEqual]", RowBox[{ RadicalBox[ SuperscriptBox["\[ExponentialE]", "3"], "4"], "-", "1"}]}], StripOnInput->False], " "}], TraditionalForm]], "Input", Evaluatable->False] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["3) Identify real numbers", "Subsection"], Cell[TextData[{ StyleBox["American Mathematical Monthly ", FontSlant->"Italic"], ButtonBox["Problem 11592", BaseStyle->"Hyperlink", ButtonData->{ URL["http://www.jstor.org/pss/10.4169/amer.math.monthly.118.07.653"], None}, ButtonNote->"http://www.jstor.org/pss/10.4169/amer.math.monthly.118.07.653"], ":\nEvaluate the limit of ", Cell[BoxData[ FormBox[ RowBox[{ RowBox[{"-", RowBox[{"ln", "(", "n", ")"}]}], "+", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "1"}], "\[Infinity]"], RowBox[{ SuperscriptBox["tan", RowBox[{"-", "1"}]], "(", FractionBox["1", "k"], ")"}]}]}], TraditionalForm]]], " as ", Cell[BoxData[ FormBox[ RowBox[{"n", "\[Rule]", "\[Infinity]"}], TraditionalForm]]], "." }], "Text"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Limit", "[", RowBox[{ RowBox[{ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "1"}], "n"], RowBox[{"ArcTan", "[", FractionBox["1", "k"], "]"}]}], "-", RowBox[{"Log", "[", "n", "]"}]}], ",", RowBox[{"n", "\[Rule]", "\[Infinity]"}]}], "]"}]], "Input"], Cell[BoxData[ RowBox[{"Limit", "[", RowBox[{ RowBox[{ RowBox[{"-", RowBox[{"Log", "[", "n", "]"}]}], "+", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "1"}], "n"], RowBox[{"ArcTan", "[", FractionBox["1", "k"], "]"}]}]}], ",", RowBox[{"n", "\[Rule]", "\[Infinity]"}]}], "]"}]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Grid", "[", RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", SuperscriptBox["10", "ne"]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ SuperscriptBox[ RowBox[{"HoldForm", "[", "10", "]"}], "ne"], ",", RowBox[{ RowBox[{"Quiet", "[", RowBox[{"NSum", "[", RowBox[{ RowBox[{"ArcTan", "[", FractionBox["1", "k"], "]"}], ",", RowBox[{"{", RowBox[{"k", ",", "1", ",", "n"}], "}"}], ",", RowBox[{"PrecisionGoal", "\[Rule]", "12"}], ",", RowBox[{"WorkingPrecision", "\[Rule]", "20"}]}], "]"}], "]"}], "-", RowBox[{"Log", "[", "n", "]"}]}]}], "}"}]}], "]"}], ",", RowBox[{"{", RowBox[{"ne", ",", "20"}], "}"}]}], "]"}], ",", RowBox[{"Dividers", "\[Rule]", "Center"}]}], "]"}]], "Input"], Cell[BoxData[ TagBox[GridBox[{ { TagBox["10", HoldForm], "0.3523120570082057178163832313599035976557740291188140473195`19.\ 122879804796806"}, { SuperscriptBox[ TagBox["10", HoldForm], "2"], "0.30664848756076821834395343382264829786`11.520210203005405"}, { SuperscriptBox[ TagBox["10", HoldForm], "3"], "0.30214040363423528635763649973242989702`11.513777985777855"}, { SuperscriptBox[ TagBox["10", HoldForm], "4"], "0.30169032130069352395098766946667784782`11.513130558272138"}, { SuperscriptBox[ TagBox["10", HoldForm], "5"], "0.30164532047586001978391278034305242967`11.513065773072695"}, { SuperscriptBox[ TagBox["10", HoldForm], "6"], "0.30164082046761018628351543402228998841`11.513059294128064"}, { SuperscriptBox[ TagBox["10", HoldForm], "7"], "0.30164037046752768645001249833126309493`11.513058646229354"}, { SuperscriptBox[ TagBox["10", HoldForm], "8"], "0.30164032546752686145018403656533828148`11.513058581439441"}, { SuperscriptBox[ TagBox["10", HoldForm], "9"], "0.30164032096752685320018422257915924724`11.513058574960452"}, { SuperscriptBox[ TagBox["10", HoldForm], "10"], "0.30164032051752685311768422469325040449`11.513058574312552"}, { SuperscriptBox[ TagBox["10", HoldForm], "11"], "0.30164032047252685311685923521836707484`11.51305857424776"}, { SuperscriptBox[ TagBox["10", HoldForm], "12"], "0.30164032046802685311685445653627750734`11.513058574241281"}, { SuperscriptBox[ TagBox["10", HoldForm], "13"], "0.3016403204675768531168508923992825799`11.513058574240631"}, { SuperscriptBox[ TagBox["10", HoldForm], "14"], "0.30164032046753185311685089157447710493`11.513058574240567"}, { SuperscriptBox[ TagBox["10", HoldForm], "15"], "0.30164032046752735311685089156624720685`11.513058574240564"}, { SuperscriptBox[ TagBox["10", HoldForm], "16"], "0.30163794826235918799739332084665074873`11.513055158783157"}, { SuperscriptBox[ TagBox["10", HoldForm], "17"], "0.30164032046752685811685089156611743407`11.513058574240564"}, { SuperscriptBox[ TagBox["10", HoldForm], "18"], "0.30164032046752685361685089157334720951`11.513058574240564"}, { SuperscriptBox[ TagBox["10", HoldForm], "19"], "0.30164032046752685316685089188797837187`11.513058574240564"}, { SuperscriptBox[ TagBox["10", HoldForm], "20"], "0.30164032046752685312185088619236924203`11.513058574240564"} }, AutoDelete->False, GridBoxDividers->{ "Columns" -> {False, {True}, False}, "Rows" -> {False, {True}, False}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", "\"\<0.301640320468\>\"", "]"}]], "Input"], Cell[BoxData[ NamespaceBox["WolframAlphaQueryResults", DynamicModuleBox[{Typeset`q$$ = "0.301640320468", Typeset`opts$$ = { AppearanceElements -> { "Warnings", "Assumptions", "Brand", "Pods", "PodMenus", "Unsuccessful", "Sources"}}, Typeset`elements$$ = { "Warnings", "Assumptions", "Brand", "Pods", "PodMenus", "Unsuccessful", "Sources"}, Typeset`pod1$$ = XMLElement[ "pod", {"title" -> "Input interpretation", "scanner" -> "Identity", "id" -> "Input", "position" -> "100", "error" -> "false", "numsubpods" -> "1"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"0.301640320468"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ TagBox[ "0.301640320468`12.479389393518554", PolynomialForm[#, TraditionalOrder -> False]& ], TraditionalForm]], "Output"]}], XMLElement["dataformats", {}, {"plaintext,minput"}]}]}], Typeset`pod2$$ = XMLElement[ "pod", {"title" -> "Number line", "scanner" -> "NumberLine", "id" -> "NumberLine", "position" -> "200", "error" -> "false", "numsubpods" -> "1"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement[ "minput", {}, { "Graphics[{Tooltip[{PointSize[0.02], RGBColor[0.2472, 0.24, 0.6], \ Point[{0.30164, 0.00542953}]}, 0.301640320468]}, ImageSize -> 300., Axes -> \ {True, False}, AxesStyle -> {}, PlotRange -> {{0.211148, 0.392132}, \ Automatic}, AxesOrigin -> {0, 0}]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ TemplateBox[{ GraphicsBox[{ TagBox[ TooltipBox[{ PointSize[0.02], RGBColor[0.24720000000000014`, 0.24, 0.6], PointBox[{0.301640320468, 0.005429525768423999}]}, "0.301640320468`12.010000000000002"], Annotation[#, 0.301640320468`12.010000000000002, "Tooltip"]& ]}, ImageSize -> 300., Axes -> {True, False}, AxesStyle -> {}, PlotRange -> {{0.2111482243276, 0.3921324166084}, Automatic}, AxesOrigin -> {0, 0}], "\"\""}, "Labeled", DisplayFunction -> (FormBox[ GridBox[{{ TagBox[ ItemBox[ PaneBox[ TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"]}, { ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, GridBoxAlignment -> { "Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], TraditionalForm]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Labeled", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{#, ",", #2, ",", StyleBox[ "Bottom", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited]}], "]"}]& )], TraditionalForm]], "Output"]}], XMLElement["dataformats", {}, {"minput"}]}]}], Typeset`pod3$$ = XMLElement[ "pod", {"title" -> "Continued fraction", "scanner" -> "ContinuedFraction", "id" -> "ContinuedFraction", "position" -> "300", "error" -> "false", "numsubpods" -> "1"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["minput", {}, {"ContinuedFraction[0.301640320468]"}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ TagBox[ GridBox[{{ TemplateBox[{ "\"[\"", "\"0; 3, 3, 5, 1, 3, 1, 10, 4, 1, 1, 2, 1, 1, 1\"", "\"]\""}, "Row", DisplayFunction -> ( RowBox[{#, "\[InvisibleSpace]", #2, "\[InvisibleSpace]", #3}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2, ",", #3}], "}"}], "]"}]& )]}}, GridBoxAlignment -> {"Columns" -> {{Left}}}, GridBoxItemSize -> {"Columns" -> {{ Scaled[1.003]}}}], "Column"], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, { "plaintext,minput,moutput,computabledata,formatteddata"}]}], XMLElement["states", {"count" -> "1"}, { XMLElement[ "state", { "name" -> "Fraction form", "input" -> "ContinuedFraction__Fraction form"}, {}]}]}], Typeset`pod4$$ = XMLElement[ "pod", {"title" -> "Possible closed forms", "scanner" -> "Recognize", "id" -> "PossibleClosedForm", "position" -> "400", "error" -> "false", "numsubpods" -> "3"}, { XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ RowBox[{ RowBox[{"-", RowBox[{"arg", "(", RowBox[{"\[ImaginaryI]", "!"}], ")"}]}], "\[TildeTilde]", TemplateBox[{"\"0.30164032046\"", StyleBox["\"75331\"", GrayLevel[0.5], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )]}], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, {"plaintext,computabledata,formatteddata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ TemplateBox[{ RowBox[{ FractionBox[ RowBox[{"865", " ", "\[Pi]"}], "9009"], "\[TildeTilde]", TemplateBox[{"\"0.301640320\"", StyleBox["\"27474\"", GrayLevel[0.5], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )]}]}, "Row", DisplayFunction -> (#& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", #, "}"}], "]"}]& )], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, {"plaintext,computabledata,formatteddata"}]}], XMLElement["subpod", {"title" -> ""}, { XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ FormBox[ TemplateBox[{ RowBox[{ RowBox[{ FractionBox["1", "42"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", RowBox[{"18", " ", TemplateBox[{"C"}, "InterpretationForm", DisplayFunction -> (#& ), InterpretationFunction -> ("Catalan"& )]}]}], "+", "10", "+", SuperscriptBox["\[Pi]", "2"], "-", RowBox[{"10", " ", "\[Pi]", " ", RowBox[{"log", "(", "2", ")"}]}], "+", RowBox[{"9", " ", "\[Pi]", " ", RowBox[{"log", "(", "3", ")"}]}]}], ")"}]}], "\[TildeTilde]", TemplateBox[{"\"0.3016403204\"", StyleBox["\"73148\"", GrayLevel[0.5], StripOnInput -> False]}, "Row", DisplayFunction -> (RowBox[{#, "\[InvisibleSpace]", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], "]"}]& )]}]}, "Row", DisplayFunction -> (#& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{"{", #, "}"}], "]"}]& )], TraditionalForm]], "Output"]}], XMLElement[ "dataformats", {}, {"plaintext,computabledata,formatteddata"}]}], XMLElement["states", {"count" -> "1"}, { XMLElement[ "state", { "name" -> "More", "input" -> "PossibleClosedForm__More"}, {}]}], XMLElement["infos", {"count" -> "4"}, { XMLElement["info", {"text" -> "n! is the factorial function"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Factorial.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/GammaBetaErf/Factorial", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/Factorial.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{"n", "!"}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the factorial function\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {"text" -> "arg(z) is the complex argument"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Arg.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/ComplexComponents/Arg", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/ComplexArgument.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{"arg", "(", "z", ")"}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the complex argument\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {"text" -> "log(x) is the natural logarithm"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Log.html", "text" -> "Documentation", "title" -> "Mathematica"}, {}], XMLElement[ "link", { "url" -> "http://functions.wolfram.com/ElementaryFunctions/Log", "text" -> "Properties", "title" -> "Wolfram Functions Site"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/NaturalLogarithm.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ RowBox[{"log", "(", "x", ")"}], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is the natural logarithm\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}], XMLElement["info", {"text" -> "C is Catalan's constant"}, { XMLElement[ "link", { "url" -> "http://reference.wolfram.com/mathematica/ref/Catalan.html", "text" -> "Documentation", "title" -> "Documentation"}, {}], XMLElement[ "link", { "url" -> "http://mathworld.wolfram.com/CatalansConstant.html", "text" -> "Definition", "title" -> "MathWorld"}, {}], XMLElement["cell", {"compressed" -> False, "string" -> True}, { Cell[ BoxData[ StyleBox[ FormBox[ StyleBox[ TemplateBox[{ StyleBox[ TemplateBox[{"C"}, "InterpretationForm", DisplayFunction -> (#& ), InterpretationFunction -> ("Catalan"& )], FontFamily -> "Bitstream Charter", Bold, 14, StripOnInput -> False], "\"is Catalan's constant\""}, "Row", DisplayFunction -> (RowBox[{#, " ", #2}]& ), InterpretationFunction -> (RowBox[{ StyleBox[ "Row", FontFamily -> "Bitstream Vera Sans", FontSize -> -1 + Inherited], "[", RowBox[{ RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", "\" \""}], "]"}]& )], GrayLevel[0.3], StripOnInput -> False], TraditionalForm], FontFamily -> "Verdana", FontSize -> 12]], "Output", LinebreakAdjustments -> {1, 10, 0, 0, 10}]}]}]}]}], Typeset`aux1$$ = {True, False, {False}, True}, Typeset`aux2$$ = { True, False, {False}, True}, Typeset`aux3$$ = {True, False, {False}, True}, Typeset`aux4$$ = {True, False, {False, False, False}, True}, Typeset`asyncpods$$ = {}, Typeset`nonpods$$ = {}, Typeset`initdone$$ = True, Typeset`queryinfo$$ = { "success" -> "true", "error" -> "false", "numpods" -> "4", "datatypes" -> "Real", "timedout" -> "Recognize", "timing" -> "2.303", "parsetiming" -> "0.096", "parsetimedout" -> "false", "recalculated" -> "http://www4b.wolframalpha.com/api/v2/recalc.jsp?id=\ MSP84219hf03423b49i4f9000012g8969881c7h637&s=10", "id" -> "MSP84319hf03423b49i4f9000013g3di7fhbf04588&s=10", "related" -> "http://www4b.wolframalpha.com/api/v2/relatedQueries.jsp?id=\ MSP84419hf03423b49i4f9000052677c09i73f1fb9&s=10", "version" -> "2.1"}, Typeset`sessioninfo$$ = { "TimeZone" -> -5., "Date" -> {2011, 10, 17, 22, 33, 27.685826`8.194832466908908}, "Line" -> 12, "SessionID" -> 23120298700301953646}, Typeset`showpods$$ = {1, 2, 3, 4}, Typeset`failedpods$$ = {}, Typeset`chosen$$ = {}, Typeset`open$$ = False, Typeset`newq$$ = "0.301640320468"}, DynamicBox[ToBoxes[ AlphaIntegration`FormatAlphaResults[ Dynamic[{ 1, {Typeset`pod1$$, Typeset`pod2$$, Typeset`pod3$$, Typeset`pod4$$}, { Typeset`aux1$$, Typeset`aux2$$, Typeset`aux3$$, Typeset`aux4$$}, Typeset`chosen$$, Typeset`open$$, Typeset`elements$$, Typeset`q$$, Typeset`opts$$, Typeset`nonpods$$, Typeset`queryinfo$$, Typeset`sessioninfo$$, Typeset`showpods$$, Typeset`failedpods$$, Typeset`newq$$}]], StandardForm], ImageSizeCache->{981., {240., 247.}}, TrackedSymbols:>{Typeset`showpods$$, Typeset`failedpods$$}], DynamicModuleValues:>{}, Initialization:>If[ Not[Typeset`initdone$$], WolframAlphaClient`Private`doAsyncUpdates[ Hold[{Typeset`pod1$$, Typeset`pod2$$, Typeset`pod3$$, Typeset`pod4$$}], Typeset`asyncpods$$, Dynamic[Typeset`failedpods$$]]; Typeset`asyncpods$$ = {}; Typeset`initdone$$ = True], SynchronousInitialization->False], BaseStyle->{Deployed -> True}, DeleteWithContents->True, Editable->False, SelectWithContents->True]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WolframAlpha", "[", RowBox[{"\"\\"", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "6"}], "}"}], ",", "\"\\""}], "}"}]}], "]"}]], "Input"], Cell[BoxData[ StyleBox[ FormBox[ FrameBox[ RowBox[{ TagBox[ RowBox[{ RowBox[{"arg", "(", TemplateBox[{RowBox[{"x", "+", RowBox[{"\[ImaginaryI]", " ", "y"}]}]}, "Gamma"], ")"}], "\[LongEqual]", RowBox[{ RowBox[{"y", " ", TemplateBox[{"x"}, "PolyGamma"]}], "+", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "\[Infinity]"], RowBox[{"(", RowBox[{ FractionBox["y", RowBox[{"x", "+", "k"}]], "-", RowBox[{ SuperscriptBox["tan", RowBox[{"-", "1"}]], "(", FractionBox["y", RowBox[{"x", "+", "k"}]], ")"}]}], ")"}]}]}]}], HoldForm], "\[InvisibleSpace]", StyleBox[ RowBox[{ InterpretationBox[Cell[BoxData[ FormBox[ StyleBox["\<\" for \"\>", StripOnInput->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}, LineColor->GrayLevel[0.6], FrontFaceColor->GrayLevel[0.6], BackFaceColor->GrayLevel[0.6], GraphicsColor->GrayLevel[0.6], FontFamily->"Helvetica", FontSize->Smaller, FontColor->GrayLevel[0.6]], TraditionalForm]], "Text", "TR"], Text[ $CellContext`GrayText[" for ", BaseStyle -> "Unit"]]], "\[InvisibleSpace]", TagBox[ RowBox[{"(", RowBox[{ RowBox[{"y", "\[Element]", TagBox["\[DoubleStruckCapitalR]", Function[{}, Reals]]}], "\[InvisibleSpace]", StyleBox["\<\" and \"\>", StripOnInput->False, LineIndent->0, LinebreakAdjustments->{1, 100, 1, 0, 100}, LineColor->GrayLevel[0.6], FrontFaceColor->GrayLevel[0.6], BackFaceColor->GrayLevel[0.6], GraphicsColor->GrayLevel[0.6], FontFamily->"Helvetica", FontSize->Smaller, FontColor->GrayLevel[0.6]], "\[InvisibleSpace]", RowBox[{"x", ">", "0"}]}], ")"}], HoldForm]}], StripOnInput->False, LineColor->GrayLevel[0.6], FrontFaceColor->GrayLevel[0.6], BackFaceColor->GrayLevel[0.6], GraphicsColor->GrayLevel[0.6], FontColor->GrayLevel[0.6]]}], FrameMargins->{{-1, -1}, {3, 3}}, FrameStyle->None], TraditionalForm], "Output", ScriptLevel->0, FontFamily->"Times", FontSize->14, Background->None]], "Output"] }, Open ]] }, Open ]] }, Open ]] }, AutoGeneratedPackage->None, ScreenStyleEnvironment->"SlideShow", WindowSize->{1405, 856}, WindowMargins->{{0, Automatic}, {Automatic, 0}}, PrintingCopies->1, PrintingPageRange->{1, Automatic}, ShowSelection->True, CellContext->Notebook, FrontEndVersion->"8.0 for Mac OS X x86 (32-bit, 64-bit Kernel) (October 5, \ 2011)", StyleDefinitions->Notebook[{ Cell[ StyleData[StyleDefinitions -> "Default.nb"]], Cell[ CellGroupData[{ Cell["Style Environment Names", "Section"], Cell[ StyleData[All, "Condensed"], MenuSortingValue -> None], Cell[ StyleData[All, "SlideShow"], DockedCells -> { FEPrivate`FrontEndResource["FEExpressions", "SlideshowToolbar"], Cell[ BoxData[ GraphicsBox[ TagBox[ RasterBox[CompressedData[" 1:eJzt3U9oXGe65/HAgEBSIVllV1UQjkEkyGAnYNyy2w43ThzjONyOO3YTbDqI 65tO0rG5gY7s0Ol0B4duQRbugAlO2pmFMY17Ydkh2Wnh3cVcr41hGBjMLGYx i6rFLGYxi4FhHp9H53mf854/daokOXL0/dxqR64657zv+5z36EL9/J4z85vf /eo3/+mpp556W/73r6NPPfXo5w4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAACwubWdNTlI4QErPvoRaU9aA/KjGGLHsm74o5VVyW9W XcaKLesfZIgW64xiuJ7U7OQQRys8lfkj5Hu73kNrZz2GHddEu7a12rHvvuva 7fUzULsbsP8AAAAAAAAAgDV39OjR559/XtMH//7BRP79vXv3yi47ZmbsW2LZ fX5+/pNPPjl79qzssm3btmgvbaLiK2U52tFy2g05QuGnsm++RX9Y62o0Ovmo OnPRkRYe2TvdbN4Y/HWx2dy6dascfOgd29mobue2be9NTfktrzab8o68H9Vn f/aA+aP5w150W8qOcijdUv70DVUcJH+c0+440WY6iqvZHhaOorD+hcWpQ7aX 41zKFlCOdmTr1joHlE+lOOdzJ0veiXouf17NblBxfNn3Ro26VfTquV27jpx6 61f/dk5e8sPufXNlZYx2FHOvHv7FO2d035+9fGh6+/bqfaUt2UWaqF//3Qd+ Lrvkr1B9f+6Vl6Xdvi/ZzC7k4XbURh/tWLmvDNAqUPjbRnev2boczVqPSlen ejpSf5DC8ygb/NPxN/Qk/vOZf5F2bb7l9+pbAf8a6EQDAAAAAAAAADaUdrt9 9+7da9euRSGFvv/w4UNN3/z7i4uL8r5sL+/Lp/pXcf/+ff3h1q1bzz//vA+S 5M1PPvmkIgc5evTow3JyQNlXjlC2gfRBepKPzLRv8/Pz2rT/6Pbt2/KR9FM+ KovGtALNylBG3j/fbD4Y/HWj2dyyZUtz2B19t3du23Zpaqpil4vN5jNTUzoK cWTrVv/pxMRERRFuuC1lR+mwVlI+8gc5n/SqrFDRcQo3llFcrBy4jNFGUVb/ fHH60mTwXmXB99dI8Wr2POrwveTURPPTOuZPq25p9e87qCOn3vrTP/5+5T/+ PXot/nBbPqoYjlxKv/q3c3+9s5zf952/XHx2drYwJZS/yl6yjewo29Q5BY9K 8Z//JrtYaBW9X/+l00mOMNyOel7qbC/Vk2FqVBoNcO7VwwM1Lcexs6Clk9fu fXOFk6GsdP4g0QbSn8JqyAkqHELNCthLDq6zkYgQAAAAAAAAAJ447Xb7q6++ un//vqYq9r30wYMHNXo7fvy4foVu2y8vL9+6dUuzLflZtvn4448709MTifn5 +fuJ6e3bNSOQY2o+WBHcaD54+PDhiZwtKc0Ho0+f27VLWteIMAry5AeNLJeW lqKmLR+8fPlyWaolA9EKSCsVoczQ+eD1yclGoyGtD7ejdWl/s3mnMhzU1/fJ Ejw9xVE+qN0oHKAub7QtXxwbs3LJR1ET+5Nsrs5xPmw0olBS+vZ9jVHISC2q K6x/VJy+ogyu4nW62SxMQ/ZXZouFPX9masrv8mFS//wklJpEm1WcKW/HzMy5 Ly9ZGCQ///KD9+UlP1jqt/DtN4Up3u59c4s/3LYs7Mznn8mOpy8sfHrjugVD /3zmX/Kl8CGXHLxOSmsh1wsHD0S/ZPR96cBHV7/W10LFK21OjqA7Sm8H2lHn s3a+bEd5x0dsO/fsiYK8uVderj5C9Dp08oTFmlY66flApTtx7oP89vLzr39/ wXorbekEkLPpT64NQfe1CtSsnsyKin8SAAAAAAAAAADYyNrttgZh+/bts+hB 3jx79qwuCVxcXPRRzo6ZGQ0ENQrU1XlRkCeH8tGb0F00Usx/mSzv+HxwS1YS yzRt/WAjiZaibTQifG7XLh8MnTx5UnND+fPZ2VkfrMgPt27d0vgv+si6pAGi tlgRyvy4+WAUIVW//pjUTU5HlA+Ojo7WzwdtMuTzwe+npsqWIubzQR2Cblkz HNSXLbiz1alRPlgxnPy5q16xGL2OjY83s8ljzXAw6rk4n32/NToaHTm/zFC2 8UUrI1eoLRv85Qfvb23LfqMN57X5tzUl1IV+Pt/ZvW/OPnrpxJvRjnJky8g0 lorieAu55CWt9A2PbLmf5YMWVOn70v/RRKOS/kLw+eDuAz8faEefD1bvKGWx EnWmp/08tHxwZGSkb9PWuj5Z0pdORl2/dLKx/gMGfyLeXfyzHurcl5fkrFln ZEv589DJEzaEA68fsyFYBWQa1K8e+SAAAAAAAAAAPInaydMDHz58ePbsWfuq XFy7dm15efny5cvyp//+WUM3DfKWlpbu3r1r4aB+Py9/ys+yo628k3csUqyZ D+qaGk/esXxQQ0N9U1u03W0Vkq6LlO7JzzY6H0DcunVLbx96/vz5/LfcunxS N6jOm2Qv2Vc2kI6NOh82Gj60Gkn4DewLdh8hvTg2lt8y0kgX30Whmzbkj3Bs fNxyty8mJnQg65cPPihfCleRD+ZDuu8mJ6XnhaPQ15XJSX9byKHzwagO95KO tUZHtd3ZsTEpWnU0GXWsov7yOjU+rtWTnvddQphfPGinryKO8QvHLODbkrNz z57FH25/euN6Z3racskdMzMaG8n7mirmg3h558znn+nxXzh4wGeaUT4oh5ID NisXcvp80CfLUT6Y70aeXg4+H2wU/UOCsh2jfLCwaL56WigphZ+HP3v5UM0j qGa63jnKB+UlTWypnMO+RA2XGsufb/zmX6MJYHVoJit8Hx356aflLOsqSGso 5INJutq3es1hn/UJAAAAAAAAAPjRabyljyDc4pbSaKKnKwRthV07faKfZoKy 1+XLl6NVJHpAXX7YmZ7Wr5Hr54NbSu6tJ+/Y/UWjb86j3bUnus5RutFoNKST 0tUtbvWi5oNLS0vy0f37931K0nH3XD1//nzffFCPpqmol88H84HF1uRxflE+ WOebef1afn923y8mJjSWst3lh9boqLyv4WAjDaHWLx98UHKX0Yp8cOe2bVE4 2MrmpzoKqaHfbDa506nOyeHywXb2kYj3kmNGp0l+ODU+7tt9b2rK5tjpGvWX o2nIKMfRj0KSVbSEsHBRpF88WD2u53btsuV71hNt0VIwjbNlzreefnqL+ycB v3jnjO6rK870avVJvaX/C8kqwk9vXPehnuWDv/vbFb0Z6UdXvy67nG1W9M0H bdK2KukQogNquers2HHpmD9NeVq9QydPaAZqv9OifLDiCPmm86WLaltRunw+ qNnluS8v2SWfnwCyvUwAOdH+5sktlw8OWj0AAAAAAAAAwBOn1WppHGbRm8Vt z87O6h1E7Sv65eXlpaUlzQct9asO7B5DPqgf6S1SNbuxZFO2P378eHQD1Vaa D+7du9cPUNvVBZXSYc0HG/0e+mbZhIluIGmhVRQZaJYa5YN1ApH8ujmNkLQV jXWUrhiyNZ562HXNB2Ww+WijVZIPyvtRyjabJqTRKJ7JrtSznO5RUDJUPhjl kpbfbUlXwloc5qNJG50c3z+48M7UlIaDhfXX02pTV6sXLSGUDtgkHHrxoGZ8 f72z7OPgaBdtXbNpHalOJ70r6ZmLn1n9W7mlYfJX2eXA68csSdzibkqsIddH f7viY8qKbrfq5YOFvzQKlR2w5r7a5+rrXas3vX17tNAvygfrzEB/zHzp3jz7 2zqli0o09+phOzV1JkDTPbM1ygcHqh4AAAAAAAAA4InTarX8Iwj1Tp4aFzYa Db3LqIYm/uGD8k5Z6hflfRVb5rfPr1ux9M3fX9QHbdJ56a2mlvZ9+O3bt/XO qNoB2cBGoUfTfHB0dPTmzZu6utAWUv3hD3/QxY/6WMO++WBe/UVtUcrmA7i+ TfjETVcI5vfVCFKfeWfFXNd8MFpkV3gcnw9ezBZqZGTEr2myUTST24ralldc TjdcPhgVoZUGaj4U0+pFCaZFddGIKuqvKaG/GaO+73t+Z2qqMDOtv3hQjnnu y0uW8VXniW2n47KhuVcP9w3IHp2LdOMt7o6+KyHX1a/lJP7yg/f73mX0ScwH O2lIajdZtTqvQT7oSld9l9HCEtlxPr1xvXA2Ro3qVewvUvJBAAAAAAAAANg8 2tlHEDabzeXl5WvXrumis8XFRVtaGD0lcM3zQV2ceCtrfn5ec0DNB5cS9unD hLzTmZ62XEmHIztqP+VNvY+oDx81H2w0Grq60JYQ7piZ0TBRPtJ8ML9isU5J 1zsfzCduZU1ESdA65YP3sj/Pjo35VKgsHyxM2SxyinoSldSOMEQ+2M7eHfS7 ZK/Cystfo/u42lLQ6MSV5Uo+iInWVBYuIZQj33ErE2suHtSGotty1p+0tmxN 7zlZPQOlJwvffqMN2cY+5NLVi33vMvqE5oNaAcsHpaE1zAd96SruMlqWD+rT J/XmooXXUZ0KkA8CAAAAAAAAwGbQTh9BqCvs7Ml9moudPHnSlhb6O3yuRz4o Hfg4Rz7SuyBq6/4j6bO8s3fvXrt5o35RbwsA7V6RBw8elHeOHz9uN6XUfNAe pCg/a5Lob0y6wfPBfD5VJ0lZp3zwWPY5fdFdRuvngxUp2+mikg6dD9bcSxeL RaXWqTLcifNHLlxCONziwY7LjF6bf3ugWE3MvfKyf3Zeda7kwyn/AD4LufR6 3LlnT/VdRp/cfHD3vjndeGu7tbb5YFS6sruMluWDQwfEHfJBAAAAAAAAANh8 WskjCO/evTsxMaGB4LOzsxqCNJOnB+rSQsvUqp8qOHQ+KNtb0uf5fDBJkFa2 0SxP/vRP2pKxyEB0/aPd1FH+1DftaH4sehztrWwmH+n7P1Y+2MzeYTV/t9Wy HWvemDSfD9q9OiPyZs18cGRkxN//80H2LqM188Fj4+NleVDU7ceWD3aSxWL5 UsvGq8wHOyVLCIdbPKhH++udZct36sdqspnPB/uuO6uTD+qVe+LcBxV3GX1C 88F2eh9XvY3n2t5fNCpd2V1GC0s0dN2iCpAPAgAAAAAAAMAm0UofQfjs7Ozi 4qIGhT5K07jNP3xQPqrIB/2qw4HyQQsft6Z0uV/LPX/QttE4z3qr8ZkuFZRR HE4cTckQ/KJCnw9uSR5QKBvovUatG3695OPJB7+bnJSNbzSbZS97ht0a5oPX Kxu9V9JKPh9sjY6W3WW0Zj5YMYoNng/qYxMtVrN7ilaHvPklhP51Z2qq/uLB jst3Bk3H8tlW/Xww//A7C7mkA9Pbty/+cLvsLqPrnQ9q3drlCqvnI7882ewX 75zRLV868aZ/ZmVUQ7vtat/WC0snf1bcZfQx5IMDVQ8AAAAAAAAA8CRqp48g nJ+f1xuNWihmwdzhw4dtkZ3mdxaxRfmFHK3mnUhte7/esOx7aX9MWxVoSwjt K/2vvvrqYTl7xmK0FlIPvry8LMPXr+jtzceZD/Z9lcVzq8kH67+q80GpW9ld RgvvI/qk5IOFpY7yQR+rycFvFFVPXz7k7RQtIbTXqfHx+osHO6tY/5XPtqqr VzMf3JawI+fvMlozH7TrvSJvjQ545uJnb579rfSn4qX/8MDva9WT/ki3869f vHPmT//4u24mTfhnVvoaSrerW5ctfdNlpau4y+i65oN9q3fk1Fs15yQAAAAA AAAAYCNrp48gXFpa0uf0+fUjuiLv5s2bunzP1hVqEqd3IvULjlrJHT5tWV+z /E6k1rrPB8vioXxa106eDadtaUPSjfv371++fHk0WXg14chflxN6BJ8Pyl47 ZmZkR3+3UjnyBswHbb3SRssHNSuRvhXeZTS6T+lmzgejJzO2S5YQ3pma0jWJ 9VOejZYP6m8P6cavf3+h8C6jffPBOi/7NTXojvnEreaO8jp9YcEmvP0ushr2 fUmhfLcrSld2l9F1zQf7vha+/aZ+bA0AAAAAAAAA2MhaySMIdZFdu93262Lk B83Obt68aTmIbK9LDpeXl6e3b2+6R+bpcSxk9Hcita++I8Plg53k3o+6hFAX BurP0nThcwxlGws0fT4oR9PjSCf9eqUNmA/acTZgPqgR7c5t2/J3GZWPNk8+ 2MreTDWfD0ZPuJMfmkkg6DcbdPFgZ0Pmg7px2V1G1yQfLDzgmYufSd/09ebZ 3xa+ol81Vr3f/e3KR/K6+vVC+pKf9SMZhRxwx8yMhYN2dnwN33j/3eqmZbzR vmWlK7vL6HqvH6wewqGTJ8gHAQAAAAAAAOCnoZU+gnB5eTl6Bpn8oA/vO3/+ vF/eopna/cTi4uInibt37+rj//wTDOWdpaWljxOf5Mg2Q+eDtoRQ+jC9fbv0 U9ct2rf3llrKzxpoat+WEn6ZpD7zy25w+qPkgy+OjY0kRktYh9cwHxxJFbZ4 3a0H7JsPSpHl0/eyUZeumPtp54OagVo+eDG5j6g+2FFePvvLt6WX0unc4sFB I56NmQ/q6ArvMto3H5Tj27RslCjMB6UC+RXEkbL1g9pi1IpGhIs/3NZP9TL0 u/sa2hEqmm72Wz9opSu8y+i65oO798317T/5IAAAAAAAAAD8NLSTRxAuLS2d PXs2SsTkh5MnT8pHe/fujb7Gl5+f27Xr8uXLGgvqvT0PHz7svwMXulhP3cqR LQ8ePCg/7Nu3r+xrZ3lnfn5eN25mH3co2x89elSOfPz48cL+2xFky8XFRX26 4mLCf1GvGaI9layixTrFHDoftKVJhXxv1zAfLFxuKeTNQfNBXQ0XLaA7Nj7u j1OWD743NbUB80Fpom8++KLLBy1rljFqtiXjrW5Lfi4bXfXZ9DZmPmgFyd9l tE4+qEFV2eUQBW0+H7SniBbSf7fQKnr+YGGL0kP99J+Ov+H/jURZDfu23qp8 /mBUuvxdRtc3H6xXPcJBAAAAAAAAAPgJ0K+Xm82mfh/uwwVN1uyrcn9bPI0I LUsqXCBj2/i1J/kv+bVp/ea8sHvSrm0TfTNvfTCF4YjvrbUbLQKKRl3YYp1i 1oyf8jGffjPvVz5GLArxq9JOjY+vJh/0yxK96LmBdfLBlUVPubuMfu96W5YP fpjElGX5YGFJH0M++Ex2OeRsST444W7Jq6Wzq8m3daWorbL0c6BUWjb+0z/+ fuU//n3u1cOrzAerc8lB88FOyV1GH527fvmgv99v9RXhd9QD2q+gMtGgrALa GTu+/h5Y+PYbXUJYGL3la2iToW/rfUu3JXeXUSvdOuWDg1YPAAAAAAAAAPDk amfX0EUf+bV1+V0sCrHQreXunmdxSeFSFP26u/D4hd3Lb6Pd25oqO44f4Cpb 7FvJofPBmslOK/uQO03W6iQC+Xyw+taaA+WDrfS+iPm7jD7I9tbywavu/T9O TJTlGmubD25tt/z9PO9VFqGwXM3sEwOjfNZSQp0/l3LZ6DrlgxYPDZ0PSmUG ygdt1lWHXO2iu4xKD+vkg/VzrlbJgsSa+2rf8p3XT63zhU/fy+eD9c9dndJF dxmVmhTmg+/85aI+QHD1+eCg/ygCAAAAAAAAAPDkqlgb0vcjv5wnn9/5DfLL f2ouS6nTveqDDLoKZrjFMo8nH/Sp03eTk4W5RmHf1jsf1B2bubuMFuaDvlB3 pqYqCuVXIGqSuJr1g/uzXfIPEIy29Me/5/JBP7ovypPNVm6lZ37Ltc0HT19Y qBkWGxm4ZkMvHDxQJx/8651l2filE2/WzAc7RXcZlW10Ud7Gzwe185q+Lf5w u/X00/kzuE75oLUe3WVUS1d/CWf9CpAPAgAAAAAAAAAwhMeQD8oGp7MJlz0C L4ot9jeb+90z2h5PPtguustoPh9sZZ+79yB5UmF+FNFyP5+yDZcPdpJEzPft yuRkYaa2M7eZ3T3yvdx9RwuTnfxm+VO8Vvmgpm+f3rg+aDz06NGcyc0/X5t/ u+8MfG7XrnyQVCecamXvMir7Pin5oG7w7OysbiMdi2bpuuaDndxdRmWzwnzw yKm3qkdRpwLkgwAAAAAAAAAADGGV+WCz35O/1DNTU9Ez/vYnd3nV2GIlL9i6 9V76kT5S7fHkg53Ku4z6fFC28cvr7mUjQj8Kv03LPSSusNR+90LRbT91DaA9 6k632blt2/fZbfQBkZpLyqf+I9lydmwsOndRrBl1z9dq9fmgHOTA68fqLwPU HtqJtsVx1dGS7PLu4p91DaA+qs9K3TfkaufuMiobPyn5YNstIZSx6xJCH4iv az7Yzt5lVCqjpYvyQYtuXzrxZn6a5Y/pPyUfBAAAAAAAAABgNYbOB7+YmPiw 0ZB9K16n08c7Rkvn9HVpako2OJIEczeymZpFhI8nH+yU32XU8sFHmUtubeCD ZBfpf34UD9LFg5ayRfngnampvgU8nxRQRAGr7n4+qd7ppJLRp3oerQJyhIu1 6/8gXTxYdgPJNckHpWO2xCwKsKIt313885FTb9mzNYUtjjvz+Weak+bjIXln 7pWXLaLyY6kTcnVydxnVtYRRILUx88FO5RLC9c4HO7m7jGrpohJJfyzB1NuQ tkqexCpnX+aAf7gq+SAAAAAAAAAAAKsxdD5Y53UjXSSo6dulogV6ha8/Juvj ZMfHlg9qiLY/1xOfD2rqIX2rOYovJiZGRkb8Y+/O19vRvzT/EvuT5LTOLt9N TrZGRy2+0Qo0k2WDNRvVWLMweVmTfFDP1+59c/pwwE9vXH92draZW4u6Y2ZG QzR5yQZ2d1A5U5pSaUTYmZ72SynVkVNv2cF1LJZM1Qy5Otm7jBYGUmubD1bz +/bNByuWEObzwb4rWNvu3qT1S2d3GfUprZVIa6vnSP6UOjSTNDyaALoCVF5y QvUsd0rywZrVAwAAAAAAAAAA7fXMB6+nT8prJeSwdcI1v+buseWDnTRSiSI8 nw920tSj8E6k+WBxZGTEh3TtofJBPYKUQiPCO/2avp6Eg9GtQdtJpibvfNGv /vdcONgsWtPXXqN8UKu9c88eTYjk9c5fLh54/djPXj6kr1///oJ9dOjkCR/w adyp4ZcuT5ONbccjp96yVPHTG9e3tltWw0HzwXb2LqOPAql9c2ubD742//YL Bw9Y58tec6+8nF891zehK1xC6PPB3Qd+Xqf153btsjk8UOnsLqPyeuP9d32J bAOLXxe+/UbOXeEEOH1hYSL5NwNRPlizenLWChcnAgAAAAAAAACwOeXzwbKv /YfLB+3hfRZRvTg2dmVysnD7LyYmZsfGfDi1mnzQApGa+WAnjf/8OrsPG41o 6ZmOQvpZlrXJ6HQU+VhqiHzQ355UuvFMclfSwoWE301Onhoft1AyWvrn63+9 qP73svWvut9jNh+szokq6IienZ1dSJ5PV/j66OrXz+3aFY3IxnLg9WN+cV/0 +uUH71s46KtRP+TqpDnm6QsLfdcP+nlSZ+wWYtZ8+flcJx/0SwjltWNmxq5E n3jWeUm5dO2eGLR0dpfRfISqG3Smp898/llZ03J+Xzh4oJFehlE+WPMlpbax 1zk7AAAAAAAAAAD8tLXb7Z3JMr0Xx8bkNeuW3UVbalqnm9V8RUezWEfebI2O ygYfNhryOjU+Lj/rqjcNHezL/GeSR/vZAS1tLBzI/uRperplK43V8j2vPsij NU3btvkh5NMlDbYehSNuFPLyo9A4w8LBfKlrvnxv5U/pibTbSNqSumm7x8bH NdezaM+3G41O6z+bHNzXf2RkJF//wjnjT0rFhKnDRrRzz57TFxY+uvq1veSv Lxw8UNYlP5ZDJ0+c+fwz2/Hcl5dem39bk0GtRj4qPXLqrYVvv9FVaWWTwXdy evt2OayGlb688tGvf39BDqUrHOvXwXb0Q16oeH37jQ1Es0V5xy+pq+i5tiI9 tMx39765AZpO99WQetDSyY5aupdOvJkvkU2AHTMzctZ8l+Sczr162K6mqOyP KuA2rh6C9LbsogAAAAAAAAAAYBPyaZd+CR+lWn5LTWR0yzryR9PmNBGw4+j3 /357fytF21iVfcmv3dOBKHtame959UHywywMy3QU1lx+FNZ6fi+/S50CRr31 w6zZbv50169/oeiklE2YmqKCN5zqQfmx2EBsx4rJHM2HvqGezyJtPthHvhT1 62A7RkMu44NO32h15wt7bvOwZtPWul8FPETpJkqS62hKR+3awKN0WN4ZtP/k gwAAAAAAAAAAGEu7VN90SZ+FV0fZ0aLjNJvNsu3r9616Y/9R39sM1my0/ijW toCaENlx6rRbv+d68Jq716xn/f74eFfzrOq4s+NSQr+v7lh9InT4Nftv21uV op5H79ccctTtalaKQSdzvuf2Zs2mLWZVg5ZOR1pRIl/GOhMgirnr9L/vRAIA AAAAAAAAYBOyL//rb1nHQIfqu2X9gazyIJ1VFGTQ7Ycu4KDtrvkRhm634mgt Z9CTHu1Yv3r1m8hvP3QB8+Ot5psYqNHCjQdqvXDf1ZeubLM6E2A11QMAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAKu0FwAAAAAAAAAAAMCmcRwAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAADx2/wUAAAAAAAAAAADApvFfAQAAAAAAAAAAAGwa/w0AAAAA AAAAAADApvHfAQAAAAAAAAAAAGwa/wMAAAAAAAAAAADApvE/AQAAAAAAAAAA AGwavV6325P/e6SXSP4b/v7oP92VP/S/yebpZ+knulH6f72wU2/lsCuH7NrO tsPK31YaSBuJ9nV9tBbtp244SM96sNLV9OC9MCDbI90k0zHX+soxQs97boN0 k25aEevhyptpi91wvJ4dc2XEvlnby8prTVlprSV3oK71I3SzG85StH2352qT diQdSuhYqGA3FNBmg3U8LcpK8z0/BDuRvfhYPfeBFbNnzdt/er4Nq174M9Q7 PfduivZC7dKJECanVbnrRpbOIl+OcELSHf0ZCX/YxApvhnqFieMuLXfVZDoU Trad1FDEbnp9hl5mLkG78uzvtrGb0t3Qa39+wsfxJZr5BeCnf9phuxgzF3KY Lt1sA+FMuV8dbm64C8AuL2s/nQx2zt1e+aGF6WCfWzHSee1mlZ369HIIZ9ed E1e2MG/So/tpZU3YWQhHzbwVZkaYMtak3zLU0lUhHUJ2kFZZm5/WaqiVTT+b va6m0YUeCmuT1c6573A4J242hTGGazJcfe4y8vMpdCPMt3A8d/343V11s7vb PEjLFSayfeh2DNO1Gy44ezt7gfsDukngBpfW11UoO1GtEVfxzKD9VRT6nvY8 TIPMWe1lf+ravt3sgGx696Kxuesgcx35Trh5YW/ZmXdn019wXXds11DadbeV u47dNWZzPMyDcJbCvq6mmV8YmWKEizh/qWYuxvhysB76wttlHPbwo/e/OsJx w7xbqb772e2W6ar70zrr5lh6lqzmdo6ti9Z4N3Qrc4WEM+0OkDk3XWsq7G8T wW1lTYdj2jXXdU2GmWMXTC9sGtXIShhOZVq9cC1mz4Wfs+5K7/ki+E/DZPVF zn7myuZmSTokNzHS3rj6+usjzJvwQbfru2unLfQmned2TVlNbZalRUwL6y6q tNd2/nzx/QXbDXu5C9Q3aucilKMXupt2I1xYdtLTKe3npdvQz9Xw6yS6nl0D aVf8TAw9dtO8l/KTKXMR2DwOBcxOlNBzX7xeGEg32iYz0/2lE00Vt4Hvo2/d rmRXWn8+wwzI1iW3izu6r4n/1E2xsFlmsHYiXK/CYbMt+pL6muSLFs6hv5ys sfwZcc12XVt2qGgXX1WbvzZGfwSbnPHuXSc6P644vdzu3agPNuqVUtgPmcpE c8APO1N1u6yyMzBzBt2sCNPbLl8/EneWsifUTXU/W7IynXQ/xGffF9xdCP74 fmL03MSIehidkcwF66vtO+9OcXyJ+b18r3qZ39vpR+63np6FtI2VPcJwe67p 7C98a3blBHXD/2MJ150vibXXC73ypzT8LvBDtV/NaV/ChFyZRDYSP7Z0CoVO Z+Zb5uq1SR/qbnPfXzDpDAxFz9a8F9oPs3OlKit9T0dg14GVzVU1DNNORi9z iYSehTMY6uBOauaisZ+jeeROYzfU0bpjVbLuWnlcbdNz1A3thIH7k5UpU/jZ RmGdDg2Ec2FdDdeETbKe71s37O6nra9MOIVhqrkz3Muc0zCpuq7zYbZmy+bm UZi1rgp+Trl51/MFSlvs2jjCnEknRXpGQg+i0fptwzhC0cPsDIW0SdMr+Z/v lZ1Dd+7C3zM/ui6kfQgHctVMP89OLZuH7kLpZT8J89nKbafCih4at5/TWtq5 yfU8FNJdkKGb6bTx10/4W5jF3dBUuFAyU6bnTqF1JDNh7S/hZPiz28s0YjXo ht5kRtwLXQuDcB3phQ267mBp8fJdCHPVamA1sivHXWM9P/Uy0yG9rkKlwjVm pzecrqibYT7aibFaujnjpq9NUF+T0CebPJne2SWRHtlOgRtzdPatdnZSwrHt 6nCfu3lqkyUddNfv54vQC1eTTS33Yc+3YhdB+HXSsyvQdTucrMx14KprV2xu ovhzblXpWufjXwjpmQsF74XW3IjTs5ueVPupG0YYpoCfU+HEuXnsrj07/d2w b3aDcNr9BRnqEGZFdC7C5HEH9XMn1MLezRzEeh8unjDeTA39qcrOfzcT/fwL 5ylt3nYJm4RLyPrYDQ2EOqbTxpro+b/YCNyc6rle+evAxmAnywrY/V8AAAAA AAAAAAAANo3/DQAAAAAAAAAAAGDT+D8AAAAAAAAAAAAANo3/CwAAAAAAAAAA AGDT+H8AAAAAAAAAAAAANo3/D2zci8M= "], {{0, 90}, {2400, 0}}, {0, 255}, ColorFunction -> RGBColor], BoxForm`ImageTag[ "Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable -> False], BaseStyle -> "ImageGraphics", ImageSize -> Magnification[1], ImageSizeRaw -> {2400, 90}, PlotRange -> {{0, 2400}, {0, 90}}]], "", CellMargins -> 0, CellChangeTimes -> {{3.516548605022827*^9, 3.516548633085456*^9}, { 3.516616961864057*^9, 3.516616982571135*^9}, 3.518187891728025*^9, {3.518199033657151*^9, 3.5181990340305967`*^9}}]}, CellMargins -> 0, CellBracketOptions -> { "Color" -> RGBColor[0.739193, 0.750317, 0.747173]}], Cell[ BoxData[ GraphicsBox[ TagBox[ RasterBox[CompressedData[" 1:eJzt3U9oXGe65/HAgEBSIVllV1UQjkEkyGAnYNyy2w43ThzjONyOO3YTbDqI 65tO0rG5gY7s0Ol0B4duQRbugAlO2pmFMY17Ydkh2Wnh3cVcr41hGBjMLGYx i6rFLGYxi4FhHp9H53mf854/daokOXL0/dxqR64657zv+5z36EL9/J4z85vf /eo3/+mpp556W/73r6NPPfXo5w4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAACwubWdNTlI4QErPvoRaU9aA/KjGGLHsm74o5VVyW9W XcaKLesfZIgW64xiuJ7U7OQQRys8lfkj5Hu73kNrZz2GHddEu7a12rHvvuva 7fUzULsbsP8AAAAAAAAAgDV39OjR559/XtMH//7BRP79vXv3yi47ZmbsW2LZ fX5+/pNPPjl79qzssm3btmgvbaLiK2U52tFy2g05QuGnsm++RX9Y62o0Ovmo OnPRkRYe2TvdbN4Y/HWx2dy6dascfOgd29mobue2be9NTfktrzab8o68H9Vn f/aA+aP5w150W8qOcijdUv70DVUcJH+c0+440WY6iqvZHhaOorD+hcWpQ7aX 41zKFlCOdmTr1joHlE+lOOdzJ0veiXouf17NblBxfNn3Ro26VfTquV27jpx6 61f/dk5e8sPufXNlZYx2FHOvHv7FO2d035+9fGh6+/bqfaUt2UWaqF//3Qd+ Lrvkr1B9f+6Vl6Xdvi/ZzC7k4XbURh/tWLmvDNAqUPjbRnev2boczVqPSlen ejpSf5DC8ygb/NPxN/Qk/vOZf5F2bb7l9+pbAf8a6EQDAAAAAAAAADaUdrt9 9+7da9euRSGFvv/w4UNN3/z7i4uL8r5sL+/Lp/pXcf/+ff3h1q1bzz//vA+S 5M1PPvmkIgc5evTow3JyQNlXjlC2gfRBepKPzLRv8/Pz2rT/6Pbt2/KR9FM+ KovGtALNylBG3j/fbD4Y/HWj2dyyZUtz2B19t3du23Zpaqpil4vN5jNTUzoK cWTrVv/pxMRERRFuuC1lR+mwVlI+8gc5n/SqrFDRcQo3llFcrBy4jNFGUVb/ fHH60mTwXmXB99dI8Wr2POrwveTURPPTOuZPq25p9e87qCOn3vrTP/5+5T/+ PXot/nBbPqoYjlxKv/q3c3+9s5zf952/XHx2drYwJZS/yl6yjewo29Q5BY9K 8Z//JrtYaBW9X/+l00mOMNyOel7qbC/Vk2FqVBoNcO7VwwM1Lcexs6Clk9fu fXOFk6GsdP4g0QbSn8JqyAkqHELNCthLDq6zkYgQAAAAAAAAAJ447Xb7q6++ un//vqYq9r30wYMHNXo7fvy4foVu2y8vL9+6dUuzLflZtvn4448709MTifn5 +fuJ6e3bNSOQY2o+WBHcaD54+PDhiZwtKc0Ho0+f27VLWteIMAry5AeNLJeW lqKmLR+8fPlyWaolA9EKSCsVoczQ+eD1yclGoyGtD7ejdWl/s3mnMhzU1/fJ Ejw9xVE+qN0oHKAub7QtXxwbs3LJR1ET+5Nsrs5xPmw0olBS+vZ9jVHISC2q K6x/VJy+ogyu4nW62SxMQ/ZXZouFPX9masrv8mFS//wklJpEm1WcKW/HzMy5 Ly9ZGCQ///KD9+UlP1jqt/DtN4Up3u59c4s/3LYs7Mznn8mOpy8sfHrjugVD /3zmX/Kl8CGXHLxOSmsh1wsHD0S/ZPR96cBHV7/W10LFK21OjqA7Sm8H2lHn s3a+bEd5x0dsO/fsiYK8uVderj5C9Dp08oTFmlY66flApTtx7oP89vLzr39/ wXorbekEkLPpT64NQfe1CtSsnsyKin8SAAAAAAAAAADYyNrttgZh+/bts+hB 3jx79qwuCVxcXPRRzo6ZGQ0ENQrU1XlRkCeH8tGb0F00Usx/mSzv+HxwS1YS yzRt/WAjiZaibTQifG7XLh8MnTx5UnND+fPZ2VkfrMgPt27d0vgv+si6pAGi tlgRyvy4+WAUIVW//pjUTU5HlA+Ojo7WzwdtMuTzwe+npsqWIubzQR2Cblkz HNSXLbiz1alRPlgxnPy5q16xGL2OjY83s8ljzXAw6rk4n32/NToaHTm/zFC2 8UUrI1eoLRv85Qfvb23LfqMN57X5tzUl1IV+Pt/ZvW/OPnrpxJvRjnJky8g0 lorieAu55CWt9A2PbLmf5YMWVOn70v/RRKOS/kLw+eDuAz8faEefD1bvKGWx EnWmp/08tHxwZGSkb9PWuj5Z0pdORl2/dLKx/gMGfyLeXfyzHurcl5fkrFln ZEv589DJEzaEA68fsyFYBWQa1K8e+SAAAAAAAAAAPInaydMDHz58ePbsWfuq XFy7dm15efny5cvyp//+WUM3DfKWlpbu3r1r4aB+Py9/ys+yo628k3csUqyZ D+qaGk/esXxQQ0N9U1u03W0Vkq6LlO7JzzY6H0DcunVLbx96/vz5/LfcunxS N6jOm2Qv2Vc2kI6NOh82Gj60Gkn4DewLdh8hvTg2lt8y0kgX30Whmzbkj3Bs fNxyty8mJnQg65cPPihfCleRD+ZDuu8mJ6XnhaPQ15XJSX9byKHzwagO95KO tUZHtd3ZsTEpWnU0GXWsov7yOjU+rtWTnvddQphfPGinryKO8QvHLODbkrNz z57FH25/euN6Z3racskdMzMaG8n7mirmg3h558znn+nxXzh4wGeaUT4oh5ID NisXcvp80CfLUT6Y70aeXg4+H2wU/UOCsh2jfLCwaL56WigphZ+HP3v5UM0j qGa63jnKB+UlTWypnMO+RA2XGsufb/zmX6MJYHVoJit8Hx356aflLOsqSGso 5INJutq3es1hn/UJAAAAAAAAAPjRabyljyDc4pbSaKKnKwRthV07faKfZoKy 1+XLl6NVJHpAXX7YmZ7Wr5Hr54NbSu6tJ+/Y/UWjb86j3bUnus5RutFoNKST 0tUtbvWi5oNLS0vy0f37931K0nH3XD1//nzffFCPpqmol88H84HF1uRxflE+ WOebef1afn923y8mJjSWst3lh9boqLyv4WAjDaHWLx98UHKX0Yp8cOe2bVE4 2MrmpzoKqaHfbDa506nOyeHywXb2kYj3kmNGp0l+ODU+7tt9b2rK5tjpGvWX o2nIKMfRj0KSVbSEsHBRpF88WD2u53btsuV71hNt0VIwjbNlzreefnqL+ycB v3jnjO6rK870avVJvaX/C8kqwk9vXPehnuWDv/vbFb0Z6UdXvy67nG1W9M0H bdK2KukQogNquers2HHpmD9NeVq9QydPaAZqv9OifLDiCPmm86WLaltRunw+ qNnluS8v2SWfnwCyvUwAOdH+5sktlw8OWj0AAAAAAAAAwBOn1WppHGbRm8Vt z87O6h1E7Sv65eXlpaUlzQct9asO7B5DPqgf6S1SNbuxZFO2P378eHQD1Vaa D+7du9cPUNvVBZXSYc0HG/0e+mbZhIluIGmhVRQZaJYa5YN1ApH8ujmNkLQV jXWUrhiyNZ562HXNB2Ww+WijVZIPyvtRyjabJqTRKJ7JrtSznO5RUDJUPhjl kpbfbUlXwloc5qNJG50c3z+48M7UlIaDhfXX02pTV6sXLSGUDtgkHHrxoGZ8 f72z7OPgaBdtXbNpHalOJ70r6ZmLn1n9W7mlYfJX2eXA68csSdzibkqsIddH f7viY8qKbrfq5YOFvzQKlR2w5r7a5+rrXas3vX17tNAvygfrzEB/zHzp3jz7 2zqli0o09+phOzV1JkDTPbM1ygcHqh4AAAAAAAAA4InTarX8Iwj1Tp4aFzYa Db3LqIYm/uGD8k5Z6hflfRVb5rfPr1ux9M3fX9QHbdJ56a2mlvZ9+O3bt/XO qNoB2cBGoUfTfHB0dPTmzZu6utAWUv3hD3/QxY/6WMO++WBe/UVtUcrmA7i+ TfjETVcI5vfVCFKfeWfFXNd8MFpkV3gcnw9ezBZqZGTEr2myUTST24ralldc TjdcPhgVoZUGaj4U0+pFCaZFddGIKuqvKaG/GaO+73t+Z2qqMDOtv3hQjnnu y0uW8VXniW2n47KhuVcP9w3IHp2LdOMt7o6+KyHX1a/lJP7yg/f73mX0ScwH O2lIajdZtTqvQT7oSld9l9HCEtlxPr1xvXA2Ro3qVewvUvJBAAAAAAAAANg8 2tlHEDabzeXl5WvXrumis8XFRVtaGD0lcM3zQV2ceCtrfn5ec0DNB5cS9unD hLzTmZ62XEmHIztqP+VNvY+oDx81H2w0Grq60JYQ7piZ0TBRPtJ8ML9isU5J 1zsfzCduZU1ESdA65YP3sj/Pjo35VKgsHyxM2SxyinoSldSOMEQ+2M7eHfS7 ZK/Cystfo/u42lLQ6MSV5Uo+iInWVBYuIZQj33ErE2suHtSGotty1p+0tmxN 7zlZPQOlJwvffqMN2cY+5NLVi33vMvqE5oNaAcsHpaE1zAd96SruMlqWD+rT J/XmooXXUZ0KkA8CAAAAAAAAwGbQTh9BqCvs7Ml9moudPHnSlhb6O3yuRz4o Hfg4Rz7SuyBq6/4j6bO8s3fvXrt5o35RbwsA7V6RBw8elHeOHz9uN6XUfNAe pCg/a5Lob0y6wfPBfD5VJ0lZp3zwWPY5fdFdRuvngxUp2+mikg6dD9bcSxeL RaXWqTLcifNHLlxCONziwY7LjF6bf3ugWE3MvfKyf3Zeda7kwyn/AD4LufR6 3LlnT/VdRp/cfHD3vjndeGu7tbb5YFS6sruMluWDQwfEHfJBAAAAAAAAANh8 WskjCO/evTsxMaGB4LOzsxqCNJOnB+rSQsvUqp8qOHQ+KNtb0uf5fDBJkFa2 0SxP/vRP2pKxyEB0/aPd1FH+1DftaH4sehztrWwmH+n7P1Y+2MzeYTV/t9Wy HWvemDSfD9q9OiPyZs18cGRkxN//80H2LqM188Fj4+NleVDU7ceWD3aSxWL5 UsvGq8wHOyVLCIdbPKhH++udZct36sdqspnPB/uuO6uTD+qVe+LcBxV3GX1C 88F2eh9XvY3n2t5fNCpd2V1GC0s0dN2iCpAPAgAAAAAAAMAm0UofQfjs7Ozi 4qIGhT5K07jNP3xQPqrIB/2qw4HyQQsft6Z0uV/LPX/QttE4z3qr8ZkuFZRR HE4cTckQ/KJCnw9uSR5QKBvovUatG3695OPJB7+bnJSNbzSbZS97ht0a5oPX Kxu9V9JKPh9sjY6W3WW0Zj5YMYoNng/qYxMtVrN7ilaHvPklhP51Z2qq/uLB jst3Bk3H8tlW/Xww//A7C7mkA9Pbty/+cLvsLqPrnQ9q3drlCqvnI7882ewX 75zRLV868aZ/ZmVUQ7vtat/WC0snf1bcZfQx5IMDVQ8AAAAAAAAA8CRqp48g nJ+f1xuNWihmwdzhw4dtkZ3mdxaxRfmFHK3mnUhte7/esOx7aX9MWxVoSwjt K/2vvvrqYTl7xmK0FlIPvry8LMPXr+jtzceZD/Z9lcVzq8kH67+q80GpW9ld RgvvI/qk5IOFpY7yQR+rycFvFFVPXz7k7RQtIbTXqfHx+osHO6tY/5XPtqqr VzMf3JawI+fvMlozH7TrvSJvjQ545uJnb579rfSn4qX/8MDva9WT/ki3869f vHPmT//4u24mTfhnVvoaSrerW5ctfdNlpau4y+i65oN9q3fk1Fs15yQAAAAA AAAAYCNrp48gXFpa0uf0+fUjuiLv5s2bunzP1hVqEqd3IvULjlrJHT5tWV+z /E6k1rrPB8vioXxa106eDadtaUPSjfv371++fHk0WXg14chflxN6BJ8Pyl47 ZmZkR3+3UjnyBswHbb3SRssHNSuRvhXeZTS6T+lmzgejJzO2S5YQ3pma0jWJ 9VOejZYP6m8P6cavf3+h8C6jffPBOi/7NTXojvnEreaO8jp9YcEmvP0ushr2 fUmhfLcrSld2l9F1zQf7vha+/aZ+bA0AAAAAAAAA2MhaySMIdZFdu93262Lk B83Obt68aTmIbK9LDpeXl6e3b2+6R+bpcSxk9Hcita++I8Plg53k3o+6hFAX BurP0nThcwxlGws0fT4oR9PjSCf9eqUNmA/acTZgPqgR7c5t2/J3GZWPNk8+ 2MreTDWfD0ZPuJMfmkkg6DcbdPFgZ0Pmg7px2V1G1yQfLDzgmYufSd/09ebZ 3xa+ol81Vr3f/e3KR/K6+vVC+pKf9SMZhRxwx8yMhYN2dnwN33j/3eqmZbzR vmWlK7vL6HqvH6wewqGTJ8gHAQAAAAAAAOCnoZU+gnB5eTl6Bpn8oA/vO3/+ vF/eopna/cTi4uInibt37+rj//wTDOWdpaWljxOf5Mg2Q+eDtoRQ+jC9fbv0 U9ct2rf3llrKzxpoat+WEn6ZpD7zy25w+qPkgy+OjY0kRktYh9cwHxxJFbZ4 3a0H7JsPSpHl0/eyUZeumPtp54OagVo+eDG5j6g+2FFePvvLt6WX0unc4sFB I56NmQ/q6ArvMto3H5Tj27RslCjMB6UC+RXEkbL1g9pi1IpGhIs/3NZP9TL0 u/sa2hEqmm72Wz9opSu8y+i65oO798317T/5IAAAAAAAAAD8NLSTRxAuLS2d PXs2SsTkh5MnT8pHe/fujb7Gl5+f27Xr8uXLGgvqvT0PHz7svwMXulhP3cqR LQ8ePCg/7Nu3r+xrZ3lnfn5eN25mH3co2x89elSOfPz48cL+2xFky8XFRX26 4mLCf1GvGaI9layixTrFHDoftKVJhXxv1zAfLFxuKeTNQfNBXQ0XLaA7Nj7u j1OWD743NbUB80Fpom8++KLLBy1rljFqtiXjrW5Lfi4bXfXZ9DZmPmgFyd9l tE4+qEFV2eUQBW0+H7SniBbSf7fQKnr+YGGL0kP99J+Ov+H/jURZDfu23qp8 /mBUuvxdRtc3H6xXPcJBAAAAAAAAAPgJ0K+Xm82mfh/uwwVN1uyrcn9bPI0I LUsqXCBj2/i1J/kv+bVp/ea8sHvSrm0TfTNvfTCF4YjvrbUbLQKKRl3YYp1i 1oyf8jGffjPvVz5GLArxq9JOjY+vJh/0yxK96LmBdfLBlUVPubuMfu96W5YP fpjElGX5YGFJH0M++Ex2OeRsST444W7Jq6Wzq8m3daWorbL0c6BUWjb+0z/+ fuU//n3u1cOrzAerc8lB88FOyV1GH527fvmgv99v9RXhd9QD2q+gMtGgrALa GTu+/h5Y+PYbXUJYGL3la2iToW/rfUu3JXeXUSvdOuWDg1YPAAAAAAAAAPDk amfX0EUf+bV1+V0sCrHQreXunmdxSeFSFP26u/D4hd3Lb6Pd25oqO44f4Cpb 7FvJofPBmslOK/uQO03W6iQC+Xyw+taaA+WDrfS+iPm7jD7I9tbywavu/T9O TJTlGmubD25tt/z9PO9VFqGwXM3sEwOjfNZSQp0/l3LZ6DrlgxYPDZ0PSmUG ygdt1lWHXO2iu4xKD+vkg/VzrlbJgsSa+2rf8p3XT63zhU/fy+eD9c9dndJF dxmVmhTmg+/85aI+QHD1+eCg/ygCAAAAAAAAAPDkqlgb0vcjv5wnn9/5DfLL f2ouS6nTveqDDLoKZrjFMo8nH/Sp03eTk4W5RmHf1jsf1B2bubuMFuaDvlB3 pqYqCuVXIGqSuJr1g/uzXfIPEIy29Me/5/JBP7ovypPNVm6lZ37Ltc0HT19Y qBkWGxm4ZkMvHDxQJx/8651l2filE2/WzAc7RXcZlW10Ud7Gzwe185q+Lf5w u/X00/kzuE75oLUe3WVUS1d/CWf9CpAPAgAAAAAAAAAwhMeQD8oGp7MJlz0C L4ot9jeb+90z2h5PPtguustoPh9sZZ+79yB5UmF+FNFyP5+yDZcPdpJEzPft yuRkYaa2M7eZ3T3yvdx9RwuTnfxm+VO8Vvmgpm+f3rg+aDz06NGcyc0/X5t/ u+8MfG7XrnyQVCecamXvMir7Pin5oG7w7OysbiMdi2bpuuaDndxdRmWzwnzw yKm3qkdRpwLkgwAAAAAAAAAADGGV+WCz35O/1DNTU9Ez/vYnd3nV2GIlL9i6 9V76kT5S7fHkg53Ku4z6fFC28cvr7mUjQj8Kv03LPSSusNR+90LRbT91DaA9 6k632blt2/fZbfQBkZpLyqf+I9lydmwsOndRrBl1z9dq9fmgHOTA68fqLwPU HtqJtsVx1dGS7PLu4p91DaA+qs9K3TfkaufuMiobPyn5YNstIZSx6xJCH4iv az7Yzt5lVCqjpYvyQYtuXzrxZn6a5Y/pPyUfBAAAAAAAAABgNYbOB7+YmPiw 0ZB9K16n08c7Rkvn9HVpako2OJIEczeymZpFhI8nH+yU32XU8sFHmUtubeCD ZBfpf34UD9LFg5ayRfngnampvgU8nxRQRAGr7n4+qd7ppJLRp3oerQJyhIu1 6/8gXTxYdgPJNckHpWO2xCwKsKIt313885FTb9mzNYUtjjvz+Weak+bjIXln 7pWXLaLyY6kTcnVydxnVtYRRILUx88FO5RLC9c4HO7m7jGrpohJJfyzB1NuQ tkqexCpnX+aAf7gq+SAAAAAAAAAAAKsxdD5Y53UjXSSo6dulogV6ha8/Juvj ZMfHlg9qiLY/1xOfD2rqIX2rOYovJiZGRkb8Y+/O19vRvzT/EvuT5LTOLt9N TrZGRy2+0Qo0k2WDNRvVWLMweVmTfFDP1+59c/pwwE9vXH92draZW4u6Y2ZG QzR5yQZ2d1A5U5pSaUTYmZ72SynVkVNv2cF1LJZM1Qy5Otm7jBYGUmubD1bz +/bNByuWEObzwb4rWNvu3qT1S2d3GfUprZVIa6vnSP6UOjSTNDyaALoCVF5y QvUsd0rywZrVAwAAAAAAAAAA7fXMB6+nT8prJeSwdcI1v+buseWDnTRSiSI8 nw920tSj8E6k+WBxZGTEh3TtofJBPYKUQiPCO/2avp6Eg9GtQdtJpibvfNGv /vdcONgsWtPXXqN8UKu9c88eTYjk9c5fLh54/djPXj6kr1///oJ9dOjkCR/w adyp4ZcuT5ONbccjp96yVPHTG9e3tltWw0HzwXb2LqOPAql9c2ubD742//YL Bw9Y58tec6+8nF891zehK1xC6PPB3Qd+Xqf153btsjk8UOnsLqPyeuP9d32J bAOLXxe+/UbOXeEEOH1hYSL5NwNRPlizenLWChcnAgAAAAAAAACwOeXzwbKv /YfLB+3hfRZRvTg2dmVysnD7LyYmZsfGfDi1mnzQApGa+WAnjf/8OrsPG41o 6ZmOQvpZlrXJ6HQU+VhqiHzQ355UuvFMclfSwoWE301Onhoft1AyWvrn63+9 qP73svWvut9jNh+szokq6IienZ1dSJ5PV/j66OrXz+3aFY3IxnLg9WN+cV/0 +uUH71s46KtRP+TqpDnm6QsLfdcP+nlSZ+wWYtZ8+flcJx/0SwjltWNmxq5E n3jWeUm5dO2eGLR0dpfRfISqG3Smp898/llZ03J+Xzh4oJFehlE+WPMlpbax 1zk7AAAAAAAAAAD8tLXb7Z3JMr0Xx8bkNeuW3UVbalqnm9V8RUezWEfebI2O ygYfNhryOjU+Lj/rqjcNHezL/GeSR/vZAS1tLBzI/uRperplK43V8j2vPsij NU3btvkh5NMlDbYehSNuFPLyo9A4w8LBfKlrvnxv5U/pibTbSNqSumm7x8bH NdezaM+3G41O6z+bHNzXf2RkJF//wjnjT0rFhKnDRrRzz57TFxY+uvq1veSv Lxw8UNYlP5ZDJ0+c+fwz2/Hcl5dem39bk0GtRj4qPXLqrYVvv9FVaWWTwXdy evt2OayGlb688tGvf39BDqUrHOvXwXb0Q16oeH37jQ1Es0V5xy+pq+i5tiI9 tMx39765AZpO99WQetDSyY5aupdOvJkvkU2AHTMzctZ8l+Sczr162K6mqOyP KuA2rh6C9LbsogAAAAAAAAAAYBPyaZd+CR+lWn5LTWR0yzryR9PmNBGw4+j3 /357fytF21iVfcmv3dOBKHtame959UHywywMy3QU1lx+FNZ6fi+/S50CRr31 w6zZbv50169/oeiklE2YmqKCN5zqQfmx2EBsx4rJHM2HvqGezyJtPthHvhT1 62A7RkMu44NO32h15wt7bvOwZtPWul8FPETpJkqS62hKR+3awKN0WN4ZtP/k gwAAAAAAAAAAGEu7VN90SZ+FV0fZ0aLjNJvNsu3r9616Y/9R39sM1my0/ijW toCaENlx6rRbv+d68Jq716xn/f74eFfzrOq4s+NSQr+v7lh9InT4Nftv21uV op5H79ccctTtalaKQSdzvuf2Zs2mLWZVg5ZOR1pRIl/GOhMgirnr9L/vRAIA AAAAAAAAYBOyL//rb1nHQIfqu2X9gazyIJ1VFGTQ7Ycu4KDtrvkRhm634mgt Z9CTHu1Yv3r1m8hvP3QB8+Ot5psYqNHCjQdqvXDf1ZeubLM6E2A11QMAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAKu0FwAAAAAAAAAAAMCmcRwAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAADx2/wUAAAAAAAAAAADApvFfAQAAAAAAAAAAAGwa/w0AAAAA AAAAAADApvHfAQAAAAAAAAAAAGwa/wMAAAAAAAAAAADApvE/AQAAAAAAAAAA AGwavV6325P/e6SXSP4b/v7oP92VP/S/yebpZ+knulH6f72wU2/lsCuH7NrO tsPK31YaSBuJ9nV9tBbtp244SM96sNLV9OC9MCDbI90k0zHX+soxQs97boN0 k25aEevhyptpi91wvJ4dc2XEvlnby8prTVlprSV3oK71I3SzG85StH2352qT diQdSuhYqGA3FNBmg3U8LcpK8z0/BDuRvfhYPfeBFbNnzdt/er4Nq174M9Q7 PfduivZC7dKJECanVbnrRpbOIl+OcELSHf0ZCX/YxApvhnqFieMuLXfVZDoU Trad1FDEbnp9hl5mLkG78uzvtrGb0t3Qa39+wsfxJZr5BeCnf9phuxgzF3KY Lt1sA+FMuV8dbm64C8AuL2s/nQx2zt1e+aGF6WCfWzHSee1mlZ369HIIZ9ed E1e2MG/So/tpZU3YWQhHzbwVZkaYMtak3zLU0lUhHUJ2kFZZm5/WaqiVTT+b va6m0YUeCmuT1c6573A4J242hTGGazJcfe4y8vMpdCPMt3A8d/343V11s7vb PEjLFSayfeh2DNO1Gy44ezt7gfsDukngBpfW11UoO1GtEVfxzKD9VRT6nvY8 TIPMWe1lf+ravt3sgGx696Kxuesgcx35Trh5YW/ZmXdn019wXXds11DadbeV u47dNWZzPMyDcJbCvq6mmV8YmWKEizh/qWYuxvhysB76wttlHPbwo/e/OsJx w7xbqb772e2W6ar70zrr5lh6lqzmdo6ti9Z4N3Qrc4WEM+0OkDk3XWsq7G8T wW1lTYdj2jXXdU2GmWMXTC9sGtXIShhOZVq9cC1mz4Wfs+5K7/ki+E/DZPVF zn7myuZmSTokNzHS3rj6+usjzJvwQbfru2unLfQmned2TVlNbZalRUwL6y6q tNd2/nzx/QXbDXu5C9Q3aucilKMXupt2I1xYdtLTKe3npdvQz9Xw6yS6nl0D aVf8TAw9dtO8l/KTKXMR2DwOBcxOlNBzX7xeGEg32iYz0/2lE00Vt4Hvo2/d rmRXWn8+wwzI1iW3izu6r4n/1E2xsFlmsHYiXK/CYbMt+pL6muSLFs6hv5ys sfwZcc12XVt2qGgXX1WbvzZGfwSbnPHuXSc6P644vdzu3agPNuqVUtgPmcpE c8APO1N1u6yyMzBzBt2sCNPbLl8/EneWsifUTXU/W7IynXQ/xGffF9xdCP74 fmL03MSIehidkcwF66vtO+9OcXyJ+b18r3qZ39vpR+63np6FtI2VPcJwe67p 7C98a3blBHXD/2MJ150vibXXC73ypzT8LvBDtV/NaV/ChFyZRDYSP7Z0CoVO Z+Zb5uq1SR/qbnPfXzDpDAxFz9a8F9oPs3OlKit9T0dg14GVzVU1DNNORi9z iYSehTMY6uBOauaisZ+jeeROYzfU0bpjVbLuWnlcbdNz1A3thIH7k5UpU/jZ RmGdDg2Ec2FdDdeETbKe71s37O6nra9MOIVhqrkz3Muc0zCpuq7zYbZmy+bm UZi1rgp+Trl51/MFSlvs2jjCnEknRXpGQg+i0fptwzhC0cPsDIW0SdMr+Z/v lZ1Dd+7C3zM/ui6kfQgHctVMP89OLZuH7kLpZT8J89nKbafCih4at5/TWtq5 yfU8FNJdkKGb6bTx10/4W5jF3dBUuFAyU6bnTqF1JDNh7S/hZPiz28s0YjXo ht5kRtwLXQuDcB3phQ267mBp8fJdCHPVamA1sivHXWM9P/Uy0yG9rkKlwjVm pzecrqibYT7aibFaujnjpq9NUF+T0CebPJne2SWRHtlOgRtzdPatdnZSwrHt 6nCfu3lqkyUddNfv54vQC1eTTS33Yc+3YhdB+HXSsyvQdTucrMx14KprV2xu ovhzblXpWufjXwjpmQsF74XW3IjTs5ueVPupG0YYpoCfU+HEuXnsrj07/d2w b3aDcNr9BRnqEGZFdC7C5HEH9XMn1MLezRzEeh8unjDeTA39qcrOfzcT/fwL 5ylt3nYJm4RLyPrYDQ2EOqbTxpro+b/YCNyc6rle+evAxmAnywrY/V8AAAAA AAAAAAAANo3/DQAAAAAAAAAAAGDT+D8AAAAAAAAAAAAANo3/CwAAAAAAAAAA AGDT+H8AAAAAAAAAAAAANo3/D2zci8M= "], {{0, 90}, {2400, 0}}, {0, 255}, ColorFunction -> RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable -> False], BaseStyle -> "ImageGraphics", ImageSize -> Magnification[1], ImageSizeRaw -> {2400, 90}, PlotRange -> {{0, 2400}, {0, 90}}]], "", CellMargins -> 0, CellChangeTimes -> {{3.516548605022827*^9, 3.516548633085456*^9}, { 3.516616961864057*^9, 3.516616982571135*^9}, 3.518187891728025*^9, { 3.518199033657151*^9, 3.5181990340305967`*^9}}], Cell[ BoxData[ RowBox[{ RowBox[{"(*", RowBox[{"Evaluate", " ", "the", " ", "following", " ", "to", " ", "copy", " ", "the", " ", "style", " ", "of", " ", "the", " ", "cell", " ", "above", " ", "into", " ", "\[IndentingNewLine]", "the", " ", "docked", " ", "cell", " ", "style", " ", "of", " ", RowBox[{"the", " ", "'"}], RowBox[{"Notebook", "'"}], " ", "definition", " ", RowBox[{"(", RowBox[{"2", " ", "cells", " ", "above"}], ")"}], " ", "\[IndentingNewLine]", "These", " ", "two", " ", "cell", " ", "can", " ", "be", " ", "removed", " ", "once", " ", "the", " ", "docked", " ", "cell", " ", "is", " ", RowBox[{"created", "."}]}], "\[IndentingNewLine]", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"SelectionMove", "[", RowBox[{ RowBox[{"SelectedNotebook", "[", "]"}], ",", "Previous", ",", "Cell", ",", "2"}], "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"celldata", "=", RowBox[{"NotebookRead", "[", RowBox[{"SelectedNotebook", "[", "]"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"SelectionMove", "[", RowBox[{ RowBox[{"SelectedNotebook", "[", "]"}], ",", "Previous", ",", "Cell", ",", "1"}], "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"SetOptions", "[", RowBox[{ RowBox[{"NotebookSelection", "[", RowBox[{"SelectedNotebook", "[", "]"}], "]"}], ",", RowBox[{"DockedCells", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"FEPrivate`FrontEndResource", "[", RowBox[{ "\"FEExpressions\"", ",", "\"SlideshowToolbar\""}], "]"}], ",", "celldata"}], "}"}]}]}], "]"}], ";"}]}]}]], "Input", FontWeight -> "Bold"]}, Open]], Cell[ CellGroupData[{ Cell["Notebook Options Settings", "Section"], Cell[ StyleData["Notebook"], CellBracketOptions -> { "Color" -> RGBColor[0.739193, 0.750317, 0.747173]}]}, Open]], Cell[ CellGroupData[{ Cell["Styles for Title and Section Cells", "Section"], Cell[ CellGroupData[{ Cell[ StyleData["Title"], ShowCellBracket -> Automatic, ShowGroupOpener -> False, CellMargins -> {{60, 0}, {30, 50}}, CellBracketOptions -> {"Margins" -> {0, 0}}, CellGroupingRules -> {"TitleGrouping", 0}, PageBreakBelow -> False, CellFrameMargins -> {{20, 20}, {20, 20}}, DefaultNewInlineCellStyle -> "None", InputAutoReplacements -> {"TeX" -> StyleBox[ RowBox[{"T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "LaTeX" -> StyleBox[ RowBox[{"L", StyleBox[ AdjustmentBox[ "A", BoxMargins -> {{-0.36, -0.1}, {0, 0}}, BoxBaselineShift -> -0.2], FontSize -> Smaller], "T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "mma" -> "Mathematica", "Mma" -> "Mathematica", "MMA" -> "Mathematica", "gridMathematica" -> FormBox[ RowBox[{"grid", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], "webMathematica" -> FormBox[ RowBox[{"web", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], Inherited}, CellChangeTimes -> {3.479211616867702*^9, 3.483202458952606*^9}, TextAlignment -> Left, LineSpacing -> {1, 0}, LanguageCategory -> "NaturalLanguage", CounterIncrements -> "Title", CounterAssignments -> {{"Section", 0}, {"Equation", 0}, { "Figure", 0}, {"Subtitle", 0}, {"Subsubtitle", 0}}, FontFamily -> "Helvetica", FontSize -> 40, FontWeight -> "Plain", FontSlant -> "Plain", FontTracking -> "Plain", FontVariations -> { "Masked" -> False, "Outline" -> False, "Shadow" -> False, "StrikeThrough" -> False, "Underline" -> False}, FontColor -> RGBColor[ 0.8156862745098039, 0.07058823529411765, 0.07058823529411765], Background -> None], Cell[ StyleData["Title", "Presentation", StyleDefinitions -> None], CellMargins -> {{55, 3}, {14, 125}}, LineSpacing -> {1, 5}, FontSize -> 55], Cell[ StyleData[ "Title", "SlideShow", StyleDefinitions -> StyleData["Title", "Presentation"]], CellMargins -> {{55, 3}, {14, 35}}, FontSize -> 55], Cell[ StyleData["Title", "Printout", StyleDefinitions -> None], CellMargins -> {{2, 0}, {0, 10}}, LineSpacing -> {1, 18}, FontSize -> 15]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["Subtitle"], ShowCellBracket -> False, CellMargins -> {{60, 0}, {0, 5}}, CellBracketOptions -> {"Margins" -> {0, 0}}, CellGroupingRules -> {"TitleGrouping", 10}, PageBreakBelow -> False, DefaultNewInlineCellStyle -> "None", InputAutoReplacements -> {"TeX" -> StyleBox[ RowBox[{"T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "LaTeX" -> StyleBox[ RowBox[{"L", StyleBox[ AdjustmentBox[ "A", BoxMargins -> {{-0.36, -0.1}, {0, 0}}, BoxBaselineShift -> -0.2], FontSize -> Smaller], "T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "mma" -> "Mathematica", "Mma" -> "Mathematica", "MMA" -> "Mathematica", "gridMathematica" -> FormBox[ RowBox[{"grid", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], "webMathematica" -> FormBox[ RowBox[{"web", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], Inherited}, TextAlignment -> Left, LanguageCategory -> "NaturalLanguage", CounterIncrements -> "Subtitle", CounterAssignments -> {{"Section", 0}, {"Equation", 0}, { "Figure", 0}, {"Subsubtitle", 0}}, FontFamily -> "Helvetica", FontSize -> 20, FontWeight -> "Plain", FontSlant -> "Plain", FontColor -> RGBColor[ 0.34901960784313724`, 0.5254901960784314, 0.5176470588235295], Background -> None], Cell[ StyleData["Subtitle", "Presentation", StyleDefinitions -> None], CellMargins -> {{58, 0}, {0, 5}}, FontSize -> 20], Cell[ StyleData[ "Subtitle", "SlideShow", StyleDefinitions -> StyleData["Subtitle", "Presentation"]]], Cell[ StyleData["Subtitle", "Printout", StyleDefinitions -> None], CellMargins -> {{2, 0}, {0, 5}}, FontSize -> 14, Background -> GrayLevel[1]]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["Subsubtitle", StyleDefinitions -> StyleData["Subtitle"]], FontSize -> 17], Cell[ StyleData["Subsubtitle", "Presentation"], FontSize -> Inherited + 3], Cell[ StyleData[ "Subsubtitle", "SlideShow", StyleDefinitions -> StyleData["Subsubtitle", "Presentation"]]], Cell[ StyleData["Subsubtitle", "Printout"], FontSize -> Inherited + 0]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["Section"], CellFrame -> {{0, 0}, {0.2, 0}}, ShowGroupOpener -> False, CellMargins -> {{60, 50}, {10, 25}}, FontSize -> 33, FontWeight -> "Plain", FontColor -> RGBColor[ 0.8156862745098039, 0.07058823529411765, 0.07058823529411765]], Cell[ StyleData["Section", "Presentation"], CellFrame -> {{0, 0}, {0.2, 0}}, CellMargins -> {{58, 50}, {10, 35}}], Cell[ StyleData[ "Section", "SlideShow", StyleDefinitions -> StyleData["Section", "Presentation"]], CellMargins -> {{58, 50}, {10, 35}}], Cell[ StyleData["Section", "Printout"], ShowGroupOpener -> False, CellMargins -> {{2, 0}, {7, 22}}, FontSize -> 14]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["Subsection"], CellDingbat -> None, ShowGroupOpener -> True, CellMargins -> {{60, Inherited}, {0, 12}}, CellGroupingRules -> {"SectionGrouping", 40}, PageBreakBelow -> False, DefaultNewInlineCellStyle -> "None", InputAutoReplacements -> {"TeX" -> StyleBox[ RowBox[{"T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "LaTeX" -> StyleBox[ RowBox[{"L", StyleBox[ AdjustmentBox[ "A", BoxMargins -> {{-0.36, -0.1}, {0, 0}}, BoxBaselineShift -> -0.2], FontSize -> Smaller], "T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "mma" -> "Mathematica", "Mma" -> "Mathematica", "MMA" -> "Mathematica", "gridMathematica" -> FormBox[ RowBox[{"grid", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], "webMathematica" -> FormBox[ RowBox[{"web", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], Inherited}, LanguageCategory -> "NaturalLanguage", CounterIncrements -> "Subsection", CounterAssignments -> {{"Subsubsection", 0}}, FontFamily -> "Helvetica", FontSize -> 24, FontWeight -> "Plain", FontSlant -> "Plain", FontColor -> RGBColor[ 0.34901960784313724`, 0.5254901960784314, 0.5176470588235295]], Cell[ StyleData["Subsection", "Presentation"], CellMargins -> {{60, 50}, {6, 15}}, LineSpacing -> {1, 0}, FontFamily -> "Helvetica"], Cell[ StyleData["Subsection", "SlideShow"], CellMargins -> {{60, 50}, {8, 12}}, LineSpacing -> {1, 0}, FontFamily -> "Helvetica"], Cell[ StyleData["Subsection", "Printout"], ShowGroupOpener -> False, CellMargins -> {{2, 0}, {2, 22}}, FontSize -> 12]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["Subsubsection"], CellDingbat -> None, ShowGroupOpener -> True, CellMargins -> {{60, Inherited}, {0, 12}}, CellGroupingRules -> {"SectionGrouping", 50}, PageBreakBelow -> False, DefaultNewInlineCellStyle -> "None", InputAutoReplacements -> {"TeX" -> StyleBox[ RowBox[{"T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "LaTeX" -> StyleBox[ RowBox[{"L", StyleBox[ AdjustmentBox[ "A", BoxMargins -> {{-0.36, -0.1}, {0, 0}}, BoxBaselineShift -> -0.2], FontSize -> Smaller], "T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "mma" -> "Mathematica", "Mma" -> "Mathematica", "MMA" -> "Mathematica", "gridMathematica" -> FormBox[ RowBox[{"grid", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], "webMathematica" -> FormBox[ RowBox[{"web", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], Inherited}, LanguageCategory -> "NaturalLanguage", CounterIncrements -> "Subsubsection", FontFamily -> "Helvetica", FontSize -> 20, FontWeight -> "Plain", FontSlant -> "Plain", FontColor -> RGBColor[ 0.34901960784313724`, 0.5254901960784314, 0.5176470588235295]], Cell[ StyleData["Subsubsection", "Presentation"], CellMargins -> {{60, 50}, {6, 20}}, LineSpacing -> {1, 0}], Cell[ StyleData[ "Subsubsection", "SlideShow", StyleDefinitions -> StyleData["Subsubsection", "Presentation"]]], Cell[ StyleData["Subsubsection", "Printout"], ShowGroupOpener -> False, CellMargins -> {{2, 0}, {2, 22}}, FontSize -> 11]}, Open]]}, Open]], Cell[ CellGroupData[{ Cell["Styles for Body Text", "Section"], Cell[ CellGroupData[{ Cell["Standard", "Subsection"], Cell[ CellGroupData[{ Cell[ StyleData["Text"], CellMargins -> {{60, 10}, {7, 7}}, InputAutoReplacements -> {"TeX" -> StyleBox[ RowBox[{"T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "LaTeX" -> StyleBox[ RowBox[{"L", StyleBox[ AdjustmentBox[ "A", BoxMargins -> {{-0.36, -0.1}, {0, 0}}, BoxBaselineShift -> -0.2], FontSize -> Smaller], "T", AdjustmentBox[ "E", BoxMargins -> {{-0.075, -0.085}, {0, 0}}, BoxBaselineShift -> 0.5], "X"}]], "mma" -> "Mathematica", "Mma" -> "Mathematica", "MMA" -> "Mathematica", "gridMathematica" -> FormBox[ RowBox[{"grid", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], "webMathematica" -> FormBox[ RowBox[{"web", AdjustmentBox[ StyleBox["Mathematica", FontSlant -> "Italic"], BoxMargins -> {{-0.175, 0}, {0, 0}}]}], TextForm], Inherited}, LineSpacing -> {1, 3}, CounterIncrements -> "Text", FontFamily -> "Helvetica", FontSize -> 17], Cell[ StyleData["Text", "Presentation"], CellMargins -> {{60, 50}, {10, 10}}, FontSize -> 17], Cell[ StyleData[ "Text", "SlideShow", StyleDefinitions -> StyleData["Text", "Presentation"]]], Cell[ StyleData["Text", "Printout"], CellMargins -> {{2, 2}, {6, 6}}, TextJustification -> 0.5, Hyphenation -> True, FontSize -> 10]}, Open]]}, Open]], Cell[ CellGroupData[{ Cell["Display", "Subsection"], Cell[ CellGroupData[{ Cell[ StyleData["Item", StyleDefinitions -> StyleData["Text"]], CellDingbat -> Cell["\[FilledSmallCircle]", FontWeight -> "Bold"], CellMargins -> {{84, 10}, {7, 7}}, ReturnCreatesNewCell -> True, CellGroupingRules -> {"GroupTogetherNestedGrouping", 15000}, CounterIncrements -> "Item"], Cell[ StyleData["Item", "Presentation"], CellMargins -> {{124, 10}, {7, 7}}], Cell[ StyleData[ "Item", "SlideShow", StyleDefinitions -> StyleData["Item", "Presentation"]]], Cell[ StyleData["Item", "Printout"], CellMargins -> {{2, 2}, {0, 6}}]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["Subitem", StyleDefinitions -> StyleData["Item"]], CellMargins -> {{108, 10}, {7, 7}}, ReturnCreatesNewCell -> True, CellGroupingRules -> {"GroupTogetherNestedGrouping", 15150}, CounterIncrements -> "Subitem"], Cell[ StyleData["Subitem", "Presentation"], CellMargins -> {{146, 10}, {7, 7}}], Cell[ StyleData[ "Subitem", "SlideShow", StyleDefinitions -> StyleData["Subitem", "Presentation"]]], Cell[ StyleData["Subitem", "Printout"], CellMargins -> {{30, 2}, {0, 6}}]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["ItemNumbered", StyleDefinitions -> StyleData["Text"]], CellDingbat -> Cell[ TextData[{ CounterBox["ItemNumbered"], "."}]], CellMargins -> {{84, 10}, {7, 7}}, ReturnCreatesNewCell -> True, CellGroupingRules -> {"GroupTogetherNestedGrouping", 15000}, CounterIncrements -> "ItemNumbered"], Cell[ StyleData["ItemNumbered", "Presentation"], CellMargins -> {{124, 10}, {7, 7}}], Cell[ StyleData[ "ItemNumbered", "SlideShow", StyleDefinitions -> StyleData["ItemNumbered", "Presentation"]]], Cell[ StyleData["ItemNumbered", "Printout"], CellMargins -> {{2, 2}, {0, 6}}]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData[ "SubitemNumbered", StyleDefinitions -> StyleData["ItemNumbered"]], CellDingbat -> Cell[ TextData[{ CounterBox["SubitemNumbered", CounterFunction :> (Part[ CharacterRange["a", "z"], #]& )], "."}]], CellMargins -> {{108, 10}, {7, 7}}, ReturnCreatesNewCell -> True, CellGroupingRules -> {"GroupTogetherNestedGrouping", 15150}, CounterIncrements -> "SubitemNumbered"], Cell[ StyleData["SubitemNumbered", "Presentation"], CellMargins -> {{146, 10}, {7, 7}}], Cell[ StyleData[ "SubitemNumbered", "SlideShow", StyleDefinitions -> StyleData["SubitemNumbered", "Presentation"]]], Cell[ StyleData["SubitemNumbered", "Printout"], CellMargins -> {{30, 2}, {0, 6}}]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData[ "ItemParagraph", StyleDefinitions -> StyleData["Item"]], CellDingbat -> None, CellMargins -> {{84, 10}, {7, 7}}, ReturnCreatesNewCell -> True, CellGroupingRules -> {"GroupTogetherNestedGrouping", 15100}, CounterIncrements -> "ItemParagraph"], Cell[ StyleData["ItemParagraph", "Presentation"], CellMargins -> {{124, 10}, {7, 7}}], Cell[ StyleData[ "ItemParagraph", "SlideShow", StyleDefinitions -> StyleData["ItemParagraph", "Presentation"]]], Cell[ StyleData["ItemParagraph", "Printout"], CellMargins -> {{14, 2}, {0, 6}}]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData[ "SubitemParagraph", StyleDefinitions -> StyleData["Subitem"]], CellDingbat -> None, ReturnCreatesNewCell -> True, CellGroupingRules -> {"GroupTogetherNestedGrouping", 15200}, CounterIncrements -> "SubitemParagraph"], Cell[ StyleData["SubitemParagraph", "Presentation"]], Cell[ StyleData[ "SubitemParagraph", "SlideShow", StyleDefinitions -> StyleData["SubitemParagraph", "Presentation"]]], Cell[ StyleData["SubitemParagraph", "Printout"]]}, Open]]}, Open]]}, Open]], Cell[ CellGroupData[{ Cell["Styles for Formulas and Programming", "Section"], Cell[ CellGroupData[{ Cell[ StyleData["DisplayFormula"]], Cell[ StyleData["DisplayFormula", "Presentation"], CellMargins -> {{60, Inherited}, {Inherited 1.5, Inherited 1.5}}, FontSize -> 17], Cell[ StyleData[ "DisplayFormula", "SlideShow", StyleDefinitions -> StyleData["DisplayFormula", "Presentation"]]], Cell[ StyleData["DisplayFormula", "Printout"], CellMargins -> {{39, Inherited}, {Inherited, Inherited}}, FontSize -> 10]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData[ "DisplayFormulaNumbered", StyleDefinitions -> StyleData["DisplayFormula"]], CellFrameLabels -> {{None, Cell[ TextData[{"(", CounterBox["DisplayFormulaNumbered"], ")"}]]}, {None, None}}, CounterIncrements -> "DisplayFormulaNumbered"], Cell[ StyleData["DisplayFormulaNumbered", "Presentation"], CellMargins -> {{60, Inherited}, {Inherited 1.5, Inherited 1.5}}, FontSize -> 17], Cell[ StyleData[ "DisplayFormulaNumbered", "SlideShow", StyleDefinitions -> StyleData["DisplayFormulaNumbered", "Presentation"]]], Cell[ StyleData["DisplayFormulaNumbered", "Printout"], CellMargins -> {{39, Inherited}, {Inherited, Inherited}}]}, Open]]}, Open]], Cell[ CellGroupData[{ Cell["Styles for Inline Formatting", "Section"], Cell[ CellGroupData[{ Cell[ StyleData["InlineFormula"]], Cell[ StyleData["InlineFormula", "Presentation"], FontSize -> 17], Cell[ StyleData[ "InlineFormula", "SlideShow", StyleDefinitions -> StyleData["InlineFormula", "Presentation"]]], Cell[ StyleData["InlineFormula", "Printout"]]}, Open]]}, Open]], Cell[ CellGroupData[{ Cell["Styles for Input and Output Cells", "Section"], Cell[ CellGroupData[{ Cell[ StyleData["Input"], ShowCellBracket -> True, CellMargins -> {{103, 10}, {5, 7}}, CellBracketOptions -> { "Color" -> RGBColor[0.734936, 0.713848, 0.694041]}, Evaluatable -> True, CellGroupingRules -> "InputGrouping", CellHorizontalScrolling -> True, PageBreakWithin -> False, GroupPageBreakWithin -> False, DefaultFormatType -> DefaultInputFormatType, "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> {"HyphenationCharacter" -> "\[Continuation]"}, AutoItalicWords -> {}, LanguageCategory -> "Mathematica", FormatType -> InputForm, ShowStringCharacters -> True, NumberMarks -> True, LinebreakAdjustments -> {0.85, 2, 10, 0, 1}, CounterIncrements -> "Input", FontWeight -> "Bold"], Cell[ StyleData["Input", "Presentation"], CellMargins -> {{110, 50}, {8, 10}}, LineSpacing -> {1, 0}, FontSize -> 17], Cell[ StyleData[ "Input", "SlideShow", StyleDefinitions -> StyleData["Input", "Presentation"]]], Cell[ StyleData["Input", "Printout"], CellMargins -> {{39, 0}, {4, 6}}, LinebreakAdjustments -> {0.85, 2, 10, 1, 1}, FontSize -> 9]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["InputOnly"], ShowCellBracket -> True, CellMargins -> {{103, 10}, {7, 7}}, CellBracketOptions -> { "Color" -> RGBColor[0.734936, 0.713848, 0.694041]}, Evaluatable -> True, CellGroupingRules -> "InputGrouping", CellHorizontalScrolling -> True, DefaultFormatType -> DefaultInputFormatType, "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> {"HyphenationCharacter" -> "\[Continuation]"}, AutoItalicWords -> {}, LanguageCategory -> "Mathematica", FormatType -> InputForm, ShowStringCharacters -> True, NumberMarks -> True, LinebreakAdjustments -> {0.85, 2, 10, 0, 1}, CounterIncrements -> "Input", MenuSortingValue -> 1550, FontWeight -> "Bold"], Cell[ StyleData["InputOnly", "Presentation"], CellMargins -> {{110, Inherited}, {8, 10}}, LineSpacing -> {1, 0}, FontSize -> 17], Cell[ StyleData[ "InputOnly", "SlideShow", StyleDefinitions -> StyleData["InputOnly", "Presentation"]]], Cell[ StyleData["InputOnly", "Printout"], CellMargins -> {{39, 0}, {4, 6}}, LinebreakAdjustments -> {0.85, 2, 10, 1, 1}, FontSize -> 9]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["Output"], ShowCellBracket -> True, CellMargins -> {{103, 10}, {7, 5}}, CellBracketOptions -> { "Color" -> RGBColor[0.734936, 0.713848, 0.694041]}, CellEditDuplicate -> True, CellGroupingRules -> "OutputGrouping", CellHorizontalScrolling -> True, PageBreakWithin -> False, GroupPageBreakWithin -> False, GeneratedCell -> True, CellAutoOverwrite -> True, DefaultFormatType -> DefaultOutputFormatType, "TwoByteSyntaxCharacterAutoReplacement" -> True, HyphenationOptions -> { "HyphenationCharacter" -> "\[Continuation]"}, AutoItalicWords -> {}, LanguageCategory -> None, FormatType -> InputForm, CounterIncrements -> "Output"], Cell[ StyleData["Output", "Presentation"], CellMargins -> {{110, 50}, {10, 8}}, LineSpacing -> {1, 0}, FontSize -> 17], Cell[ StyleData[ "Output", "SlideShow", StyleDefinitions -> StyleData["Output", "Presentation"]]], Cell[ StyleData["Output", "Printout"], CellMargins -> {{39, 0}, {6, 4}}, FontSize -> 9]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["Code"], CellMargins -> {{103, 10}, {5, 10}}], Cell[ StyleData["Code", "Presentation"], CellMargins -> {{110, 50}, {8, 10}}, LineSpacing -> {1, 0}, FontSize -> 17], Cell[ StyleData[ "Code", "SlideShow", StyleDefinitions -> StyleData["Code", "Presentation"]]], Cell[ StyleData["Code", "Printout"], CellMargins -> {{39, 0}, {4, 6}}, LinebreakAdjustments -> {0.85, 2, 10, 1, 1}, FontSize -> 9]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["Print"], CellMargins -> {{103, Inherited}, {Inherited, Inherited}}, FontSize -> 14], Cell[ StyleData["Print", "Presentation"], CellMargins -> {{70, Inherited}, {Inherited 1.5, Inherited 1.5}}, FontSize -> 17, Magnification -> Inherited 1.5], Cell[ StyleData[ "Print", "SlideShow", StyleDefinitions -> StyleData["Print", "Presentation"]]], Cell[ StyleData["Print", "Printout"], CellMargins -> {{39, Inherited}, {Inherited, Inherited}}]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData[ "WolframAlphaShortInput", StyleDefinitions -> StyleData["Input"]], CellMargins -> {{98, 10}, {5, 7}}, EvaluationMode -> "WolframAlphaShort", CellEventActions -> {"ReturnKeyDown" :> FrontEndTokenExecute[ EvaluationNotebook[], "HandleShiftReturn"]}, CellFrameLabels -> {{ Cell[ BoxData[ DynamicBox[ FEPrivate`FrontEndResource["WABitmaps", "Equal"]]], CellBaseline -> Baseline], None}, {None, None}}, FormatType -> TextForm, FontFamily -> "Helvetica"], Cell[ StyleData["WolframAlphaShortInput", "Presentation"], CellMargins -> {{107, 50}, {8, 10}}], Cell[ StyleData[ "WolframAlphaShortInput", "SlideShow", StyleDefinitions -> StyleData["WolframAlphaShortInput", "Presentation"]]], Cell[ StyleData["WolframAlphaShortInput", "Printout"], CellFrameLabelMargins -> 3]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData[ "WolframAlphaLong", StyleDefinitions -> StyleData["Input"]], CellMargins -> {{100, 10}, {5, 7}}, StyleKeyMapping -> { "=" -> "Input", "Backspace" -> "WolframAlphaShort"}, EvaluationMode -> "WolframAlphaLong", CellEventActions -> {"ReturnKeyDown" :> FrontEndTokenExecute[ EvaluationNotebook[], "HandleShiftReturn"]}, CellFrameLabels -> {{ Cell[ BoxData[ DynamicBox[ FEPrivate`FrontEndResource["WABitmaps", "SpikeyEqual"]]]], None}, {None, None}}, DefaultFormatType -> TextForm, FormatType -> TextForm, FontFamily -> "Helvetica"], Cell[ StyleData["WolframAlphaLong", "Presentation"], CellMargins -> {{107, 50}, {8, 10}}], Cell[ StyleData[ "WolframAlphaLong", "SlideShow", StyleDefinitions -> StyleData["WolframAlphaLong", "Presentation"]], CellMargins -> {{107, 50}, {8, 10}}], Cell[ StyleData["WolframAlphaLong", "Printout"], CellFrameLabelMargins -> 3]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["Program"], CellMargins -> {{60, 4}, {6, 8}}], Cell[ StyleData["Program", "Presentation"], CellMargins -> {{60, 50}, {8, 10}}, LineSpacing -> {1, 0}, FontSize -> 17], Cell[ StyleData[ "Program", "SlideShow", StyleDefinitions -> StyleData["Program", "Presentation"]]], Cell[ StyleData["Program", "Printout"], FontSize -> 9]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["CellLabel"]], Cell[ StyleData["CellLabel", "Presentation"], FontSize -> 12], Cell[ StyleData[ "CellLabel", "SlideShow", StyleDefinitions -> StyleData["CellLabel", "Presentation"]]], Cell[ StyleData["CellLabel", "Printout"], FontSize -> 8, FontColor -> GrayLevel[0.]]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["ManipulateLabel"]], Cell[ StyleData["ManipulateLabel", "Presentation"], FontSize -> 15], Cell[ StyleData[ "ManipulateLabel", "SlideShow", StyleDefinitions -> StyleData["ManipulateLabel", "Presentation"]]], Cell[ StyleData["ManipulateLabel", "Printout"], FontSize -> 8]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["GraphicsLabel"]], Cell[ StyleData["GraphicsLabel", "Presentation"], FontSize -> 14], Cell[ StyleData[ "GraphicsLabel", "SlideShow", StyleDefinitions -> StyleData["GraphicsLabel", "Presentation"]]], Cell[ StyleData["GraphicsLabel", "Printout"], FontSize -> 8]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["Graphics3DLabel"]], Cell[ StyleData["Graphics3DLabel", "Presentation"], FontSize -> 14], Cell[ StyleData[ "Graphics3DLabel", "SlideShow", StyleDefinitions -> StyleData["Graphics3DLabel", "Presentation"]]], Cell[ StyleData["Graphics3DLabel", "Printout"], FontSize -> 8]}, Open]]}, Open]], Cell[ CellGroupData[{ Cell[ "Styles for SlideShow", "Section", CellChangeTimes -> {{3.514665148412793*^9, 3.5146651505550737`*^9}}], Cell[ StyleData["slideshowheader"], ShowCellBracket -> False, CellMargins -> {{0, 0}, {0, -2}}, Evaluatable -> False, CellHorizontalScrolling -> False, PageBreakBelow -> False, CellFrameMargins -> 0, ImageMargins -> {{0, 0}, {0, 0}}, ImageRegion -> {{0, 1}, {0, 1}}, Magnification -> 1, Background -> GrayLevel[1], CellPadding -> 0, CellFramePadding -> 0], Cell[ CellGroupData[{ Cell[ StyleData["hidefromslideshowgraphic"], ShowCellBracket -> False, CellMargins -> {{0, 0}, {0, 0}}, Evaluatable -> False, CellHorizontalScrolling -> False, PageBreakBelow -> False, CellFrameMargins -> 0, ImageMargins -> {{0, 0}, {0, 0}}, ImageRegion -> {{0, 1}, {0, 1}}, Magnification -> 1, Background -> None, CellPadding -> 0], Cell[ StyleData["hidefromslideshowgraphic", "SlideShow"], ShowCellBracket -> False, CellElementSpacings -> { "CellMinHeight" -> 0, "ClosedCellHeight" -> 0, "ClosedGroupTopMargin" -> 0}, CellOpen -> False, CellHorizontalScrolling -> False]}, Open]], Cell[ CellGroupData[{ Cell[ StyleData["slideshowheader2"], ShowCellBracket -> False, CellMargins -> {{0, 0}, {0, 0}}, Evaluatable -> False, CellHorizontalScrolling -> False, PageBreakBelow -> False, ImageMargins -> {{0, 0}, {0, 0}}, ImageRegion -> {{0, 1}, {0, 1}}, Magnification -> 1, Background -> GrayLevel[1]], Cell[ StyleData["ConferenceGraphicCell", "SlideShow"], ShowCellBracket -> False, CellElementSpacings -> { "CellMinHeight" -> 0, "ClosedCellHeight" -> 0, "ClosedGroupTopMargin" -> 0}, CellOpen -> False, CellHorizontalScrolling -> True], Cell[ StyleData["slideshowheader", "Printout"], FontSize -> 8, Magnification -> 0.75]}, Open]], Cell[ StyleData[ "ConferenceGraphicCellSlideShowOnly", StyleDefinitions -> StyleData["ConferenceCellGraphic"]], ShowCellBracket -> False, CellMargins -> 0, CellElementSpacings -> { "CellMinHeight" -> 0, "ClosedCellHeight" -> 0, "ClosedGroupTopMargin" -> 0}, CellOpen -> False], Cell[ CellGroupData[{ Cell[ StyleData["SlideShowNavigationBar"], Editable -> True, Selectable -> False, CellFrame -> 0, ShowGroupOpener -> False, CellMargins -> {{0, 0}, {3, 3}}, CellOpen -> True, CellFrameMargins -> 0, CellFrameColor -> None, Background -> None], Cell[ StyleData["SlideShowNavigationBar", "Printout"], PageBreakAbove -> Automatic]}, Open]]}, Open]]}, Visible -> False, FrontEndVersion -> "8.0 for Mac OS X x86 (32-bit, 64-bit Kernel) (October 5, 2011)", StyleDefinitions -> "Default.nb"] ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{ "SlideShowHeader"->{ Cell[15361, 307, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[16070, 341, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[120302, 2673, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[224318, 5004, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[228040, 5133, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[417772, 8439, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[707208, 13286, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[773442, 14526, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[777811, 14664, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[782350, 14819, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[791699, 15117, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[795215, 15262, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[796416, 15315, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[808118, 15606, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[817927, 15818, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[827984, 16038, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[836402, 16235, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[841278, 16385, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[845734, 16523, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[850819, 16658, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[851173, 16677, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[1565860, 28751, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[1632178, 30518, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[1637967, 30718, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[1647415, 31045, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[1651250, 31179, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[1667857, 31731, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[1669078, 31783, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"]} } *) (*CellTagsIndex CellTagsIndex->{ {"SlideShowHeader", 1762540, 33815} } *) (*NotebookFileOutline Notebook[{ Cell[1235, 30, 12493, 208, 2, "hidefromslideshowgraphic"], Cell[CellGroupData[{ Cell[13753, 242, 500, 15, 104, "Title"], Cell[14256, 259, 33, 0, 25, "Subtitle"], Cell[14292, 261, 36, 0, 20, "Subsubtitle"], Cell[CellGroupData[{ Cell[14353, 265, 113, 1, 48, "Subsection"], Cell[14469, 268, 276, 8, 59, "Text"] }, Open ]], Cell[CellGroupData[{ Cell[14782, 281, 164, 6, 48, "Subsection"], Cell[14949, 289, 363, 12, 81, "Text"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[15361, 307, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[15450, 312, 151, 6, 93, "Section"], Cell[15604, 320, 58, 2, 37, "Text"], Cell[15665, 324, 73, 2, 37, "Text"], Cell[15741, 328, 280, 7, 37, "Text"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[16070, 341, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[16137, 344, 93, 2, 37, "Text"], Cell[CellGroupData[{ Cell[16255, 350, 53, 0, 40, "WolframAlphaLong"], Cell[16311, 352, 103942, 2315, 5312, "Print"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[120302, 2673, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[120369, 2676, 251, 10, 37, "Text"], Cell[CellGroupData[{ Cell[120645, 2690, 99, 2, 35, "Input"], Cell[120747, 2694, 103522, 2304, 3315, "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[224318, 5004, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[224407, 5009, 45, 0, 93, "Section"], Cell[224455, 5011, 35, 0, 37, "Text"], Cell[CellGroupData[{ Cell[224515, 5015, 140, 3, 35, "Input"], Cell[224658, 5020, 548, 10, 146, "Output"] }, Open ]], Cell[225221, 5033, 36, 0, 37, "Text"], Cell[CellGroupData[{ Cell[225282, 5037, 316, 8, 58, "Input"], Cell[225601, 5047, 412, 17, 48, "Output"] }, Open ]], Cell[226028, 5067, 96, 4, 37, "Text"], Cell[CellGroupData[{ Cell[226149, 5075, 365, 8, 58, "Input"], Cell[226517, 5085, 1462, 41, 119, "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[228040, 5133, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[228129, 5138, 102, 2, 93, "Section"], Cell[CellGroupData[{ Cell[228256, 5144, 45, 0, 48, "Subsection"], Cell[CellGroupData[{ Cell[228326, 5148, 69, 0, 50, "Subsubsection"], Cell[CellGroupData[{ Cell[228420, 5152, 402, 8, 80, "Input"], Cell[228825, 5162, 188862, 3268, 330, "Output"] }, Open ]] }, Open ]] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[417772, 8439, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[417861, 8444, 53, 0, 50, "Subsubsection"], Cell[417917, 8446, 266, 9, 35, "Input", Evaluatable->False], Cell[CellGroupData[{ Cell[418208, 8459, 485, 13, 58, "Input"], Cell[418696, 8474, 287747, 4778, 331, 205326, 3425, "CachedBoxData", \ "BoxData", "Output"] }, Open ]], Cell[CellGroupData[{ Cell[706480, 13257, 395, 11, 58, "Input"], Cell[706878, 13270, 269, 9, 59, "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[707208, 13286, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[707297, 13291, 43, 0, 50, "Subsubsection"], Cell[707343, 13293, 175, 6, 40, "Input", Evaluatable->False], Cell[CellGroupData[{ Cell[707543, 13303, 251, 5, 35, "Input"], Cell[707797, 13310, 65584, 1209, 530, "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[773442, 14526, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[773531, 14531, 38, 0, 48, "Subsection"], Cell[CellGroupData[{ Cell[773594, 14535, 82, 1, 50, "Subsubsection"], Cell[773679, 14538, 406, 13, 59, "Input", Evaluatable->False], Cell[CellGroupData[{ Cell[774110, 14555, 301, 7, 58, "Input"], Cell[774414, 14564, 3324, 92, 129, "Output"] }, Open ]] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[777811, 14664, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[777900, 14669, 54, 0, 50, "Subsubsection"], Cell[777957, 14671, 492, 18, 58, "Input", Evaluatable->False], Cell[CellGroupData[{ Cell[778474, 14693, 264, 7, 35, "Input"], Cell[778741, 14702, 1001, 33, 78, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[779779, 14740, 264, 7, 35, "Input"], Cell[780046, 14749, 2243, 63, 70, "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[782350, 14819, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[782439, 14824, 45, 0, 48, "Subsection"], Cell[CellGroupData[{ Cell[782509, 14828, 65, 2, 50, "Subsubsection"], Cell[782577, 14832, 787, 26, 59, "Input", Evaluatable->False], Cell[CellGroupData[{ Cell[783389, 14862, 301, 9, 58, "Input"], Cell[783693, 14873, 7933, 236, 130, "Output"] }, Open ]] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[791699, 15117, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[791788, 15122, 64, 2, 50, "Subsubsection"], Cell[791855, 15126, 231, 8, 37, "Text"], Cell[CellGroupData[{ Cell[792111, 15138, 246, 7, 35, "Input"], Cell[792360, 15147, 2256, 84, 84, "Output"] }, Open ]], Cell[794631, 15234, 36, 0, 37, "Text"], Cell[CellGroupData[{ Cell[794692, 15238, 269, 7, 35, "Input"], Cell[794964, 15247, 190, 8, 56, "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[795215, 15262, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[795304, 15267, 78, 2, 48, "Subsection"], Cell[CellGroupData[{ Cell[795407, 15273, 48, 0, 50, "Subsubsection"], Cell[795458, 15275, 75, 2, 37, "Text"], Cell[CellGroupData[{ Cell[795558, 15281, 293, 7, 58, "Input"], Cell[795854, 15290, 489, 17, 68, "Output"] }, Open ]] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[796416, 15315, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[796505, 15320, 42, 0, 48, "Subsection"], Cell[CellGroupData[{ Cell[796572, 15324, 125, 5, 50, "Subsubsection"], Cell[796700, 15331, 47, 0, 37, "Text"], Cell[CellGroupData[{ Cell[796772, 15335, 245, 7, 35, "Input"], Cell[797020, 15344, 1036, 31, 54, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[798093, 15380, 854, 24, 80, "Input"], Cell[798950, 15406, 9095, 192, 166, "Output"] }, Open ]] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[808118, 15606, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[808207, 15611, 123, 2, 35, "Input"], Cell[808333, 15615, 9545, 197, 200, "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[817927, 15818, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[818016, 15823, 123, 2, 35, "Input"], Cell[818142, 15827, 9793, 205, 266, "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[827984, 16038, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[828073, 16043, 933, 27, 146, "Input"], Cell[829009, 16072, 7344, 157, 128, "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[836402, 16235, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[836469, 16238, 40, 0, 37, "Text"], Cell[CellGroupData[{ Cell[836534, 16242, 929, 27, 102, "Input"], Cell[837466, 16271, 3763, 108, 68, "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[841278, 16385, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[841367, 16390, 79, 2, 50, "Subsubsection"], Cell[841449, 16394, 92, 1, 37, "Text"], Cell[CellGroupData[{ Cell[841566, 16399, 901, 27, 102, "Input"], Cell[842470, 16428, 3203, 88, 74, "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[845734, 16523, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[845823, 16528, 62, 2, 93, "Section"], Cell[845888, 16532, 107, 3, 37, "Text"], Cell[845998, 16537, 4263, 95, 404, "Code"], Cell[CellGroupData[{ Cell[850286, 16636, 307, 9, 58, "Input"], Cell[850596, 16647, 162, 4, 43, "Print"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[850819, 16658, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[850908, 16663, 63, 2, 93, "Section"], Cell[850974, 16667, 45, 0, 48, "Subsection"], Cell[851022, 16669, 53, 0, 40, "Subsection"], Cell[851078, 16671, 46, 0, 40, "Subsection"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[851173, 16677, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[851262, 16682, 45, 0, 48, "Subsection"], Cell[CellGroupData[{ Cell[851332, 16686, 69, 2, 50, "Subsubsection"], Cell[851404, 16690, 126, 3, 37, "Text"], Cell[CellGroupData[{ Cell[851555, 16697, 292, 7, 58, "Input"], Cell[851850, 16706, 6372, 174, 246, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[858259, 16885, 969, 25, 81, "Input"], Cell[859231, 16912, 4729, 143, 482, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[863997, 17060, 1235, 33, 80, "Input"], Cell[865235, 17095, 189113, 3209, 375, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1054385, 20309, 2308, 58, 168, "Input"], Cell[1056696, 20369, 508919, 8369, 301, 477214, 7848, "CachedBoxData", \ "BoxData", "Output"] }, Open ]] }, Open ]], Cell[1565642, 28742, 169, 3, 74, "Subsubsection"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[1565860, 28751, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[1565949, 28756, 75, 2, 50, "Subsubsection"], Cell[1566027, 28760, 38, 0, 37, "Text"], Cell[CellGroupData[{ Cell[1566090, 28764, 462, 13, 80, "Input"], Cell[1566555, 28779, 41362, 1126, 2151, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1607954, 29910, 372, 12, 37, "Input"], Cell[1608329, 29924, 11387, 303, 608, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1619753, 30232, 69, 1, 35, "Input"], Cell[1619825, 30235, 32, 0, 35, "Output"] }, Open ]], Cell[1619872, 30238, 59, 2, 37, "Text"], Cell[CellGroupData[{ Cell[1619956, 30244, 916, 24, 58, "Input"], Cell[1620875, 30270, 8010, 139, 248, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1628922, 30414, 892, 24, 58, "Input"], Cell[1629817, 30440, 1487, 43, 74, "Output"] }, Open ]], Cell[1631319, 30486, 29, 0, 37, "Text"], Cell[CellGroupData[{ Cell[1631373, 30490, 695, 19, 35, "Input"], Cell[1632071, 30511, 46, 0, 35, "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[1632178, 30518, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[1632267, 30523, 53, 0, 48, "Subsection"], Cell[1632323, 30525, 203, 6, 37, "Text"], Cell[1632529, 30533, 176, 5, 37, "Text"], Cell[1632708, 30540, 132, 3, 37, "Text"], Cell[CellGroupData[{ Cell[1632865, 30547, 335, 8, 58, "Input"], Cell[1633203, 30557, 2297, 73, 155, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1635537, 30635, 320, 8, 58, "Input"], Cell[1635860, 30645, 2046, 66, 113, "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[1637967, 30718, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[1638056, 30723, 50, 0, 50, "Subsubsection"], Cell[1638109, 30725, 251, 8, 37, "Text"], Cell[1638363, 30735, 282, 10, 50, "Input", Evaluatable->False], Cell[CellGroupData[{ Cell[1638670, 30749, 311, 8, 58, "Input"], Cell[1638984, 30759, 642, 23, 73, "Output"] }, Open ]], Cell[1639641, 30785, 1593, 54, 98, "Input", Evaluatable->False], Cell[CellGroupData[{ Cell[1641259, 30843, 312, 8, 58, "Input"], Cell[1641574, 30853, 2966, 87, 70, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1644577, 30945, 955, 28, 97, "Input"], Cell[1645535, 30975, 659, 19, 70, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1646231, 30999, 126, 3, 35, "Input"], Cell[1646360, 31004, 321, 10, 59, "Output"] }, Open ]], Cell[1646696, 31017, 670, 22, 77, "Input", Evaluatable->False] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[1647415, 31045, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[1647504, 31050, 81, 2, 50, "Subsubsection"], Cell[1647588, 31054, 264, 8, 37, "Text"], Cell[1647855, 31064, 21, 0, 37, "Text"], Cell[1647879, 31066, 729, 24, 81, "Input", Evaluatable->False], Cell[1648611, 31092, 22, 0, 37, "Text"], Cell[CellGroupData[{ Cell[1648658, 31096, 316, 8, 58, "Input"], Cell[1648977, 31106, 2212, 66, 61, "Output"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[1651250, 31179, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[1651339, 31184, 78, 2, 50, "Subsubsection"], Cell[CellGroupData[{ Cell[1651442, 31190, 336, 11, 73, "Input"], Cell[1651781, 31203, 298, 10, 72, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1652116, 31218, 655, 18, 124, "Input"], Cell[1652774, 31238, 143, 3, 40, "Output"] }, Open ]], Cell[1652932, 31244, 137, 3, 37, "Text"], Cell[CellGroupData[{ Cell[1653094, 31251, 473, 13, 58, "Input"], Cell[1653570, 31266, 3437, 100, 394, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1657044, 31371, 352, 10, 35, "Input"], Cell[1657399, 31383, 2734, 84, 264, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1660170, 31472, 1064, 30, 80, "Input"], Cell[1661237, 31504, 2313, 71, 186, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1663587, 31580, 388, 13, 73, "Input"], Cell[1663978, 31595, 2935, 90, 221, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1666950, 31690, 255, 9, 77, "Input"], Cell[1667208, 31701, 66, 2, 58, "Output"] }, Open ]], Cell[1667289, 31706, 519, 19, 87, "Input", Evaluatable->False] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[1667857, 31731, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[1667946, 31736, 35, 0, 50, "Subsubsection"], Cell[1667984, 31738, 21, 0, 37, "Text"], Cell[1668008, 31740, 487, 17, 86, "Input", Evaluatable->False], Cell[1668498, 31759, 531, 18, 86, "Input", Evaluatable->False] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[1669078, 31783, 64, 1, 1, "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell[1669167, 31788, 46, 0, 48, "Subsection"], Cell[1669216, 31790, 800, 27, 76, "Text"], Cell[CellGroupData[{ Cell[1670041, 31821, 326, 10, 73, "Input"], Cell[1670370, 31833, 348, 11, 73, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1670755, 31849, 1019, 28, 137, "Input"], Cell[1671777, 31879, 3056, 107, 586, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1674870, 31991, 86, 1, 35, "Input"], Cell[1674959, 31994, 18832, 397, 507, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[1693828, 32396, 305, 8, 58, "Input"], Cell[1694136, 32406, 2540, 77, 75, "Output"] }, Open ]] }, Open ]] }, Open ]] } ] *) (* End of internal cache information *) (* NotebookSignature #wT#HcCtPfcPMDw167sRICX0 *)