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README.html
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README.html
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<!DOCTYPE html>
<html lang="GB@currency=EUR">
<head>
<meta charset="utf-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1" />
<title>README</title>
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<style id="mkstylesheet">
/*
This document has been created with Marked.app <http://markedapp.com>, Copyright 2011 Brett Terpstra
Please leave this notice in place, along with any additional credits below.
---------------------------------------------------------------
Title: GitHub
Author: Brett Terpstra
Description: Github README style. Includes theme for Pygmentized code blocks.
*/
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oRpFPbxWBjTWhsilBkkVFeVVo4aFVr7NTokB9Zu4UVE6Fk9yhVUrYb5eHe/UeAaw8hjdwT5RKIwfvVoNtejtEQkMZMvPsJviid0WZU7xOB9kR55UL1R8YvhECe3dshxqTMRaA0KYqIjkewfPLhrIqW3RJ7hvKJgpAfFuNguBbnoQnGhd2b+Vb83dreux6MR5PGEeVGIy6rYFvZzaGGsmEv1x5X2mJR36BFZyQ8YajwUCfCCkNJHipl0j9ZWlIuFkVxv78RtC8fV80f2HU7rDO2+l2UdbjYY4SLN0RCIx0ZPazSlj22d1fWEJPl5N8v5mzzRo/vun048Ql8zMpgYHAi3RRV5U0drzA+He90Rf3cnhdA7tkn6dWLjdVgWXtW8QyZTZ9uV7MRWJPbbOz+OE9MNy1SEZiuzthNwvkhtososthBbNGR2YHIv+UCL+7hSC1AxmyxFYM+VLEnWlWrUYFRx6azJEqlKH2iW9yfV4vg1X99bHFcSPA+SK6GMF/d+fX6kqOoBnuYf+NTh37rjtmMHjx85ceD48WPn7zt2/M4Dv3nkzmMHDx07fftd5Pmm4PmOwfMJ+Pk4/HyUhq1BbCVzyZKAHzGJZTULNkQz2BCi9XxXKkhjo1pFUweGxrsSQZ7ne5XtuVtWZseLaiIeT6jFwnxl9tSBE7ccv/PYfeePHT9+4MSB3zp47LY7jv/rgw//653HDh08Bs9F/Zq+bHvd/i3KS0lU2QbPhcwmzaQvLtkdlA8ADgKiZAfz2WzAxnMgbQcbXQ7bw84GpKR/nUBu970exCYqP/svxx/+o+NfYe49cxDFKz9YuGf80hii36fG/p3ghzpGLTGzzONUA3UNBa9uOo0SsmPPANwGbHVRbpdaRhTeRDZsgHk0033RpJNLLks8MUmwofGwywlHuokV56ZcaqmRACqQEn3gqgRFn+Q7hp65Hz1T2X0/vffz6LnKzOcrM+g5wAFdeZhegqNtVDt+Buyr1CiMIhTmXqewgAjHP4vYyrfgpIdWb8U4nETftZ2ijxAahfPxC+B/fIESBaLT5qDY9SukxCCapHX03SeegHN/Bc7FD8m9U+uekhfkdN127UngOhKjVj+ql8Nvh371c6RWXifwPAqyfzfhl+3W9UybUaYxXYEqxQ9kt2T2Zu2NOeJIUL0m3WtSXMnmuYRdJOS5ZFukEG1bt9DDcOpRW8q8/F3e/sa7AvGHTr7/c2bKPke1UhmqQJVDWKt0glYh1kkSv/wg4bEYEHCMK/UAuTQB9WbhsycGZOMEeZzsBBugidgAgY1qHIQtNgO71uQnlrlJOACOukJUnpSlrfmv7t/7iWtHRjsUJX5qfu7C7r1bih3yUpCfTud+L5fehZkz3KEMZkcn01lFDgXpp7517z3TkyOicPXsqfte+cbps48pMupUJmdPnXn1if0Lv9MSi0V/++b9Tzy5cDSdBxUby2UP7cfwfQD8wIPgB4bAPis34rf2Arm6k8QLXEJUI7h4FvLDmtl0seR2vFl2NxGi9AB9NhFSbWoEL4NKlpoBGu4mgAYL0GARbHAYFinL1EkTugX6xaBwOh6YHp42cjc2P432Xe5HL/hvzBW2FmwXHvDxUeGa5Hs77r/fdlnZHol6vfg574PnzAJ+MtSfWXRQSgN2ZIydYBU74Me0AnZaOcwqpU3woJsa8dNtysCDNm7Cm42YkbIWxcSf+M6Nljq3c6ZrpWSA15JcgZ1Fp90FqhvaddVNLdmdrqRhqeu6baKlG1sB73Ia24RpCl4aZcygr9wa25TBpGCkqrKtTr71oqoUVgbWtDImiZpSxkOgB5XJ7CcODk5uy/fGA7wUVzM364bQEYw4XmBFIZ2dnD5wcNfu20Uw2guT257cOVwQ6O8d271ndGY+kR3NjeYns5u0FsHtRT4uJqh62j82VtRTLbHm6Oz42Oz81PRV0+nTI8OF0fsJr50CXpsAGM9Qp6nyTgxjFmCsYRh32N9cCgV3akAMIQzuawgzIAA34koeyx0028CDLA0A3NsGMLDbggDsWRhDGChKxmzzLbFdQ/mdYJ9QpSALpjSFRrE9E/KVhvLw2eEvdykDBGqBtOVcYRujZk2oKGVYTEN6OurgF66HH3bDQvXGd81wObXs7umUBtNjZycmUYeQThSMof17jc2ZWTGGRkZPH98+5nnBo8Rz+YmZmaNz04ebowG/HDcyYzPZHNgnopDL/z93nvn4tYPZmIAO+jLXtYsB/3DhzkKvGot43I97PAOJ+NZDmSwayh5p2jtS1LRgGMWiNwyPbk2BtaHFRC/jBlzEb0/NTo4DbbR39KdGd5D4D7UANL4feNFNNVJ3U2UXjsnQmA2pBhfdiGNBJQqYEweCvJrZeBGrdxx2cibLNkLpNgemdFuN0k2ULDVVnZq2//ZDTOyMiXrtJr1Sami8xJiNK3QJNQJFl+gGi5aJhkGGzwhKoGDATl+gT7y2vLxUcaN3UP6zthOX7/1c5SWU/xy9RNXRzCg1Qp2hyoOYZlxAMx2YZmSgmZ7mwQ6gmR5sn/fg52oWsdIraCZ3sZQEAbrVer78G5ebiPgWe02512uKXKnLe8luylypw3vJRpldvWhR7JC7qkxXSnLAc1In5rlmF6GkZJVuQuH/yL9ySgEcjrFIps4QdjqUGpG84A3wYiyjjxVyg91qnA/L8XRmTBf1UFSQvc8nbNLqGSExUVw4eM1UPiuIopAv7Jk/sTA3OZSWJJQNJkS5NRL2gy+lHt6RS2ZEhQ+zngZPMNJI/+DzlVkpFkVtsVz66und83t2Z/MdEmoJ62o+BzTwCMBzDHgwRe2ibqPKvRiiuZoeCgBE2yZ6sT/cZqe2Y006QxgRmK4UBUoY4EpFYLgu2L0GPosD4D5wzrYAdh+6fGYTQGsiB31UV7SIvdZAG9ZYnKWx/PXuQdjZi2owC29QZBuAFeYJn10BbGf1xEeuGs7vnT82sSWX0uPdoeeipybH8iktATyhLx0B+ZNKC7GYkCns2H3o7vm54azQ9heg2OSDhdxmLS53+nlRTqWLiQFD0fgIffp5FJ7bo2lerySm0x9rm5uWhLHRTyx8es8nBCGTnRy/5eDU7mxRkJCW2D198lPsRK6g6ZkQv6n72GgxnZWVcBhxnBhXdEK7jwO/JYB2A1SeKjdgbkMYyhQWcLxmNlS1XQPRdmCslRuItmvASiQI1ool2GxExYnYYaKdjqBUs7Qft913cGL6Xkn5Sjw+Uty9b5ZZ+vxnH/3t85WVh59+6LEvPPXgIw88dQeJ5Z0BnI8Czoeo66nfpB6mymlsK20joTzLrT1GfN2lhdl0M+B+gYwg86Rm+i6W6FwyWZoHjI/sSSbNec7MYzFM4YieVsrDxzxXmgRi0GDzdjwENnjp09Bx+7zP/2VXs9I9um2WJTJ5dhu8D5UxF3yLrNLtwlRzzF/yCZl6fzJV71BuDHMQyVsNil1BKDWfMbnRzq+RWOAKl/KK4TPhCLgExkBukybIHi4WzaSeO3hobiaTHvB5xWgyMZy9Ve4O8iBqs6kbrv30qd1z2Vw0tuxr6pAy6WcGMqLIeb2cIGbT1wLRSZLXJ7g9MUFPT0xu0dqibtbrEcGjGx/tS0djXBO6ezyVjauRKMtwMbHb6EnpxXy2X8vEokn9xKie0nrlDsHDsIOKmk6NT0+MZgxRQG1CKj02MZ9J6bICrkpYklN6Xo9rohSGPVmJ63QhIcYlmQ9H/IqoStOa0h4N+v18a6xHJjrgPNBCHmghTc2CPijzmP9F4H9sjpWmgP/7hnlskvVhIv04Yf7NgNjNXCkOKPUAanfD52ZMmK0ZM+77Eh8T2b4xgt4+Ebi9NZbJlKaGscjcHM/UYxZj0sZvdPWVdB1SFMtwuzIMkP4gTvGB54VYPnvtzB3/fNfdoGvH8nv3HZ0cTW/R4hIIglzm+rF8JqFEoyh8lW7oub75qYl0Soh92c8LYtoYTffpqtyG1a+Y6d+W26xPcrztvoWPg8SVxKefqZSfO3dq/5ymcV5ZyKWmo7sTqiSOZA4dPK6PtkQ93g5xKDs7dXBkMBfHoQCO64wNaKMT+YIOWjzMzw0UrJwL8VeYDMm5ZDd6LHYatpmqx1LL81S9FVDCNb/Ftea32Czf5efEe7F5qz4MjfZWHrb5q/fooT5wXeYizhVJtRwOQyzIqm8WwJfc+wxyV14L/tzy0Ji7rAtjX/NR8DWfpRxAKch0atinxsq0+fVXbZZlizis65mmS6ZtZfkfN/9FxeqmONMB3Ta2xOD4lX2FegF7SIzdUYtIXbG/bhoEXSh4zPbG5Wdsu+nsBfTko5XPV+7/Q8t+OYZ2M7O2X5D3bKl5jsRHw8TKalVQYWGJvUZ8GcH2Btr94IM09eCDNf/5I97pm7WHt96J4i7BOyz/o1p7VRu4ejQLQ94SA2P/y++UTrlQCr/T3OWnbW88+ofoMLr90cr8BXifedAPOvDiMFWk/pIqj2DaKJC8n8WOm/FrXaWZIxdNMVkqAhu2J80iV+oDNHLAiaPWoyv0ha3WMyqc2bNSavFdMoMri+GWYEBdbCZtBLcwvBhXesD1gHbd9SjDITh4GMmYwMRfDoZblHhPc2Q96XFlD/FJiiNVN2xzAdsAVPuwFRUcuDIKaEltb9UhCUrVA/LViEwtHlMznwIpIzjvkaVCfnbu8G3X7s7nJKlTiKnRVFj1ahGJ459nOE6KxaOpSbFD8PvBU+1U9exwbigrJ8IR+7Mv2166dmIceF1ojiTUsdG54gFQ9eE4J7qlmNKpJUd1LSFL4e7BSBf4PEamR22JeTnQMKKq6sOXJ157DXCjVn7GPG2/QP0u9Tz6v6nycay97TicttfKKuQwk33RTvHAq7+lLR0mvSX+ONe+opk9xtLHrKHzYEv/GQlG3GyFX27mSjqgzUgu3Wt13MuVokhdmiRhInOSK22DvTFrb4wrATNiibvUaMXtzGrO88dvuy1zewyM2YmV0h8DST60YnYBZo7f1fsaVbrreO9r+Miu719ot4jjOGceWzHv4sxPrSwP/eTtCAknT3CL2yfGgELGSbsDt8v5z/x6Fxl9iFt85KE/hv4/JO2juC1DT13I+Q8z5qOZMpxX1zeeMbdnqGHP2PbxY5966NE/3jHxyB/W5zHRcMOHjxDKit7r879g78jtPXz+i9hCmPQtXjX6B1/A5uQY2A8l/mPYKP/ix8C4aKQ6rhoVd9+MD8v5zG1E2bSgjTHoqnvWi3J0/0AOSbUAZYdFeP3rzvOabWqkDZvTSwd5UE0fpnqCVwaow2sXxUfRMo+NlLVRoHLyRy6z5ijgsPXsE28+fHr/3kJeEIGM44e3S+EYxwdpByvwgtApqYXp1rDXgxq9gXC7JCuGnpZlkecCbo+z7dg+H8uyrUFlJBL2eCKxPm1ydP/de/aekMSYkE5PTy3oQ6l4SpTUbbqqjKSHsxOnFvaNj02iI55IiJcUSY4JfNRNMw4afiQpK7XLYX/U38QxLE1/F+1H9INbMgv7f+f82YfvODm1+xMuN8cPaGwj7aBZfkBuaW3yokJKnRrbNjE+kx3N5LrV5kiTp9nfFd70BxVmOqVPu9Pi5PbCbTfdfX7fkZkpQyuO/vfHH3nhiU9++trd/brXE4yGIspuNRZtj3m9aHPqtoOo/anczeNhPhrrSxdmx90iK7lZmeXCC4PpEBy2Rc2PqTuJPoAf5gLY104qSi3WRe+wRetgKXBpSw4sQlu1Uszim7+wvVkmbiANbOPmcPzOHwA30M2VbIFLy69c8/PHCeH7uUWP3w0k30haL2mbSOvDbRnaOoJvypiNGdNLkscvuD1NPn+jdz33Qts2dq2pBh0ZSLKJtoBow/SpdGnI0YSAwOAPVX6A3nnl7OqFs19B33mQ9bMNDg8A3s07GhmH12EffXcZnaqcpv3omYjBd3NSi8wKOb/i4xUftvmfBNicAtgIlEblqBurMa12sPSID5LDlp5GoZqlN0QsvXZQMX1Js50rKSB2wrCXwQa9C3RNHjoy7SDzfcB8Gt4Anuvzwa6Z85suHIfyiVcEScBup2s7kiwm00N0ykoqKlJqjTv6u1T0JPqjgzfvOSWJ4D1JenxiZqQ4m4iro9s+MXew8jPknunPzeu6lsoWpi7/ZCYN5AwC+5FHfmwfDfonh7O7U+DBxduiHBuLzR7NH9o6lugN8Y+6PZnrtuc/3ip4POihJo8Y61K1Q3OWHXAE7ODjoHtzlEGVBzBsumpWcHgdIG3Wm1OlcJfPv9REcb3ahuSXkVxzZi3xsCH3US8esNio+SpH2oViYf++8wsPZvVNcssz3pQk69rQ7D1K3I8jr13xYu6GvJ4RtXCMfyKsKcd3Tt9w9uBCsSC1088+dvbU3O5EAjzeQnosn5gTO4L8VYXRfYfuOrv30HCxS4rE2jU13V/ITBUOCiIy9D1z95zE/PJkNf7jp0RqM1X2I8vlJwyDnYBanicAiA9wVrQVAIAzPCUxACh319C8wVeXFPyigbUg2pMo/cTxEx+bUeNK98TUrcfOLD35vQMHsOuUm5o7erd9VIlPTp2623zu5OnZuXjisTO/gxrO3Dify0djFm7wc+6D52ygxqt066rRLQN0a2cJ3RKjz0MeGAiU5DVI2sPV4MKtzVXNcVQTG1ZSw/p/0vYHqwr9+Oo+G20ffayy+9FK/2Nwn1fgvjm4r6tWhbV+T9ZO7snie7o/5J7rd2u44m6v2D61WqSfWt2D78T98epP1+kP5wOy1FGq3I/fUahFYXi4X7yn3wn3i+P7bSH3q4aeFSv0bDYlywoJOStxuGkOepVW8Ll4Zz8OeG7ymRzwqdAPSNuUKfXELb+b960FY0iYcz0YUx/B4vxrhOvD4fQrsrNH2oR7btp3ds/MaC4rSdHn5NGx22dHcj0K2GLPPWsoqiBEJVvl79CPPWPqcLYwtuPM/n2FggCk+/TpU2YiEQ33JrZkxtOHcrkOcRQY4Z7K25U3WbbR7eXsaOqJ1b9g1Wgo7OVSqT3zpz6zThMqoYl8VdI7DYIe024s2dwEO7Z1imgAENFJs4HkAXH5nBMIuUYIuBTP8EnQPvk12v3SS6vv2EdXv0lvfneZPrx6v3W/b8H9KHK/bVUaxL6GK1m2V0nCdCbJzWhCCmUXXaM9cN3KNEmr0ThGCveu3hdACeAkZPEtlK28aktVXkXZxxjvY4+99xamP/P9X9h+APdspa6iypEa3TfZrKQJMmNXBsV9cGOPD9/K4wUqaMOM6nWBjUShDbHKcHIgRVBZFzQxl10hvxiJS+rCrZVvorebwyl9Ynz/szcfQPPCSK/SGeO86PfP2tyPXZ7fPz0+nBUENDe3hotvEdj8FlVm8XNSTqOKDcb4IAoYsF/tDkoGi9bOmU5cB8Zau6yGXVPYwjDCCvrbF37w6FpphGvFdGJPkio5XDiIjFuiOkuIrQbGMDKR4UIScmJkDr1RcdCjP640PwUYnaefXH358q/pU89WVPLcv4TnxrFkO84dE5zaqnIFmQ7yzDYAqI1wtM0OAHWuE0zwl1+jn7CPvjf7mEUfp6vX6kVjVXr0WZaH2QQQ0IjJ3+uguuAlu5JmL9gZ8ILNySUf6cMuHH7dV/7yn65bs0dsK0ypKwj+ctvKci7yi7csA78ZRlpWSp6GSwCP5eyP3pzH/XazCfq9K6VWMPxjcPzYP58jlouLW3S7PFYhYqSlGaz56j0azC5uUehqAxNGJK1E2k7SyrgtQ1tn1IgZszNjShlTyJThknUOI1wXp6yGfTaX2+NtjrTgokVR6rSi570bTX0fTY5qWj/qw+oakQXngEWuRPYEMIviIGAK56tsEthIXZqNB7UTiiHf6V++6PByTpaLuhu9juWfPEnTYpu/8amzT7OM285xMg2ivRLy6Ho0NjInK7oX/eLdZdv+W4qt0sht8xmhsh19mfeKnj79jnAy6i34b778WJ2c4am9Vr7SpKp4dQNegwSvvFX2w3MkoIJjYiELna/+w89Ugs5GCzk2+yWcDLFRJRsYf2iRtllGoJUmhvdFVqQTSyMS1Qz6nvwx7WUYhqaf+8fVf3fRDLzFe+djmYQqbrXd8O4yc3B3ZHMsffkBks8BHbIAOqSZUqhiVZ+31rRIJ5YY3YSqcaVGhCu1V/U5DuS1R0BK+J3Yk+rE2UV3NatctWoo34Y4HZ22dIKPs9TEQqE4Mr/3xDvI3SGMFeb3Hzu5b0+xkHvtiT94emx8auqRx3dM0s+a787Nqmrlqcpzz9579745NaEl9swh+tnKryr/fO48akCeM/fcc6Zml8wTmEs4N76ueSXQhIEgke0B/Dqd5HV4eJ1gEoO/rfpGMhZ8UvCjLRQxgtbtTctGuXD33t1bc4LQKg6m9+65u/KzysyWjKqAATY98xQohFg0Y0yM79k9Np1JK/JqhX6U5xW5P2OczBcw7CsnmSMA+wS1hZqhLJBnQCu0aVYCM0cetRceFXg/VX3OIfhM9YKadnb5sZp2+8w2wECoDZ68JWNmfEtuKtKlV03MK3HhrJbmbSidqqX8PwpBLRFdHy3OK6OFBf90U0JJJGfzmc26JLYem5pNZaPRj0LauVPHZnenUuET2Qxi7b/rdjgi4WRiLH+9x0jP7D1+9xMfjsdHSa5fou6gygGiGfxVzUCQyTcHMDL5dWSGAELhJC7MrpKnGcD6wW9pBdniq7/66d/tIHwV4Ex+xQvumelboUwf6AQfXyc/anh3Wn6/E9SCFEHiGubjgPc3ju7dM5gRYsjv35Q4sRd9/u8rD/4KRWZT+VhHE4cq36n8i300GtG1q/LX54eyA+lRbvVZOr/6Ev06H4l19OqJH2P5PwW8dwDwv5f6KVWer+lqksvO47e7QTOVi6Vt1bpnorS3cSUfvOMsEMI+673+5a9fDlraLsaZ4ZXSzvAl8+oV2FmMxMIglltIGyVtK27Nndzi5M6rQVZDWyeR4RAsslszmIwiuAowHIntnLy6JdpaXwX4wU4ScfFtA5J0aWlMkrM+cwBIMg9WxBKFBtKzG0uYjSti8UovXUeG/RuKDdYLmauWpRU2Eeg2ui6ho3R0Tr3oDYYTSj43UyimE2pzWJAMfTQ1HW4W+ZysxRPRSIhDkjKUn5k+cHxq+nCHFPyqJxjuEFOJsYmspgictyWmpvrvud04PC1LnW1CfnTPwm//ovI+mpazPWqHEPB7PbHWXrUw0ZWIRv3eoMPhdvq9/pggChl1fP/wWLeKi7925fITIviSLRGwfnweMdIja/lOJRTzSK3e3pQaP7xt9+iYkY7G0IvEDpio+tlOapAqO+pzfKbNmlDhuFiyg1lhd2Czwo7TfA473nTgNN96xBoXXE0wRmX068yzYBDiGDW+/vn3f058Egn8+HIM05m7arOYAaPGRDhJbyMmRilYFYdwUdAqViFQuIY03GNBvYqZ8y95PEOGPjObSouiz/u11shI9ro9b03P4OwW+q+2w5ef21ccnSXFemp8onC7bfTyF+9ZmCvmYjHUAg7ddXvhGd0Ag1fgGX3gV5Z9NRiYXng+v1YKkEymz2dFCeCh22gBhcIDeRqHP9yvoTzT6GaiXo+nKdqGhl+rOL5hH718l1tua9qjaQltbq/t995dxrCoxXu22x6mytvxfYz+MTyjBNfwmkm43bhm6lbef4fFYSuvvtNWLdsiAR+KK9EeK+Cz3XNpOVf5VYQM4zDq0EqJdrMldzOYYOGV5Zedv7JbplZ/b2lsiIVxb0lpvmQ2ryzns9ZlS80Kayqc10xypb4IXFfhSkbk0vLK+KVfEJuL5hbtNA4bOUjL4rZ21wZ4isUGN2ZuD2kbSeslbRNpOdL6SOsnbYC0PGmDpA3htva0DWYzCI9mBQsP0kZJ20raNtIKpG0nrUjaDtJKpO0krUzaLtwu5794KUmuTNIHfdCvknYTaROk7cUtfgaGHDnELaaG+qF/gLRp0m4m7SBps6TN4XY59/a//IqcNcYt5seGoH+EtAXSFkm7DbdlgGSdferImGymDPCr6/PUAnFNGXCAcXAKOgPg+GbMYMYMZcpwIXxcMWMWMuZIxsyDNdus1F0B5GeUCNI2bPia7cQO7iB2MFjDcsbsypThufGh2Yw5mDE3Z0BgmumMmcqUATx1l1LBD8+YiYzZCwK5n7az7kYugGf5tLaJnUpc7e1LbR7M5obyI4XiNkcD2Mg+Px9siQrtHZLctSkxkO79T/yg4Qz1Yfcy+uvuNrb9/9j96i14MOBBsBORM4TSa38B3E2y+NW/AateD9v4YNdbkU/4syrTQG/bpK8cZljaYWNp1svSLsbBOWH/tucP0SzjAFebhj22iaVpB02DkcwufP173zlAOxkHy7FOscPh4hg3DBz4LkiSr0T2OryTgZlmcavkEThhqMUrONDvV37D0eqLtboVN9fuka4SPeF8MJptiY/biu8uo3vYsDfaOiS0ff5BoW2LN+4JuysnsQySQQY9S3zff61aqqyrAcsg7COUbXYHbNfiAraa9m+w5LMd5LMDV03jPtYKSGAhlQr93QiWJst/9U/VjWpPA8irRUTZA1ihsFiYINoFLFM/zKwN22DHxtYPN3CLzgYHDDc4yLDzA8PutWG4uBtfnFpEjNNNKGltq2ZguZD1J7mQjH5YmbyAdqCJC5VJ9KPvVM5VPku/RJ8BQ5lePbGap3Orr9Tg9QzAi6U+DVYyhhcW1qAgGAIoV31IA5ds2/E0R65kg00GIOS2IPTaj370I8sdpjiTXakmaZcHJKubZGZtuIsxGc60r9BlYAH8CrhWt5pbxo+OcNHZBfRJdOxCJfZV++jqH9E3rdKrL9Jj+FnH4VnvIfG/ndX4gBN0LQn40FbgD0f38PMkH/rbv1rz29FKyREG2e/Ejh5yEMDRDmedo5dCOPCDxOC4TV8N2V65/B3b3vuY6GOffe8n4HOiRyuztq/YL4ANkYH7UpS6ZLdqcxBjZfKzaxUClilBIhR2p0s16WTVhEDVgCN6lO6ofB7dXpl1Hj936QvnajXOc7UaZxv2aWmDXBt82/oa529898oaZ2QnNc7gx15Z4wx6XDpatqVesF94V4B38MI76LV3cOJ3oKx3YKpzEGrvgC5iHigjYg4h/A62tXcgATKfiLzocOV+Wlr9UeUNxw3nfn0W3uEMWmZGATcO6lbK8sdxffZ6/j7L/eO15NkRYIRaKdmt/P1f/MrqtlcjLCWHnS3ZcZCFWaGWqLV0/UcVJGATxYXOoBPfQicerbxQ+XO0bPvs5U/apMs/InGg9y+/LzPfff8egG2MMm0afmueUasfNeDClZyAHoZ5/T315DyZx3A/Y9oydnxcN2XatSXaTnFMLQ6FSz9wDT2OPwHpkYINXAlvhIMSuv/Vn56wP9L6L0GSA8P1kfcyk9Q2ag/1OapcxFSr4/myOwjIS/HeZNLcwS1pVtpaxGlrHxlaYq8pio0qDm334jtfT+hrDPhvjCvtAv5zZZNJUuo3DztjuOInkjF3+crNW4rYU+jyg/qjStfs8PkXu6jsFpyg9eGi2+aIvLHuJ13L+lhTydaKatNJHPHASVZc57XBrZXqgs5pfs3tyKFa6d+puJrNXbN78ufNMVFW04YiSbFOx1ddrVFDnxi/7dUD+xODfjcTZDrERCShyuFwg9fmiHbE9Hg2t+3xq6e/dt3M1Ehejgf9X5HHU5oeiaLEwdExWeY4ZktxvlV0e0Ahhfyjun+k34jHwQae37NY0aY+RtPMEZeNAYdCkBO6npClGMfN7r5/akEUevVBPXednXVEY90JjJ8y4KcAfNFHTVHHqhqjHRd6ZKzpZW7MHs3b292AieYql3xMM10XS7rjzRcauIDck+jrBA9Z50ojgIdWwMc0fOo4zMt3Ah5GfKXmdhzIyQCKSo5u6NruW+L4TiVAfDejH7y1AZz6BvM/yDvwn1HNdge4Kswl3mGN8E3oylq5K2vpyjRNf8lG243p3b/xyr596Kb9Xz96zYxug24bauTDHYqe2ZLr10TRy3m9YkzXivnNhizzPB1kHRKveiaYX1Z2Z9ydDlZyHFa1c5+p/I/KG+fOq/H9rBTscLIt4CwxtOfEjhlVC/AhfnNmfPfh49sn0no0EuYHjJlpKwYLsE0D7WeoAaqcxECVLZnD0nVl+9akClyVT5WCMnZrOV+854o0Xv3U246NM5hI+VktwV9L4Z1W1bHidbM37Z0cz6YlyfM1byF/fG5zRpbAb2ziJCWd23Vo26j/K64OOVW4anrfvTfsTw+2xmjhi7ceLORi0Uhkk7olV/DMpQwUjab06bEDB8enBzLgdqWMw55irqAakRhSE9t33nQL0NHZ93/GRICOVOB0kIBReNtFPhr3qksGqdQtexlczY3Ze7jK0GPk3XGyaBOpMTGFZKkFILEdyCe6yef/kqPR6Y0PktI9I4rJSQTaGfa9QDkDHQ650wIRJ2PgGDm6n8QpcfCVxGCDUj+u0eyCbokwKh1Yq9XFtl2qn+REq8A8i87etWvSoOkl2kY/Z2OAh4yp6eOvrfy5l4sJ+wqj/cZ4wC9ftVnfluvXBaAcmqdTSI3fFE3obJBGT73n9+qNI27JAXvuxoiflXiZPdinoRBqPz4+oxt6c2RhdubuI1/4RIgHa7M/PflxgBupfQUa6aWy1MepcjemkohFJU4MrAFLFmq+blz1rFU5cMvafDctWfYRdevjrDwbVfLh2KkALGdqPpP64GScGBLXSIfYuevEY8XqxF4az9DAKeEzilIsLO45e81cJheOXL7M+2VpS2Y8M6dIKffjHima1aYnF468OJyTxK/T29yJWTV1cyI1LbTS8uMHDg7nB+PqxNT+g78dmprc1m+AV94c5gtiQumPx8WWCNo+Wrz9lp/vPTHp5YAsR0eGMN+cJbmLCwCT3VQ5gSVSA2MlIE2BM8PYOsVpYQTwMbutOQE9SZLUSOCZZISklGR5U4LMfulxqeUESUUmcESjrxbRWJ8QGiIBIVBevUgicmRNlACoSODjLHIAX2vTM7exWlM05dU9g464S29JBb0yk91sYIJAP68Ev2R77nx033hRV0NhmqGd7H1ASPDrdkdjCX17w/nLM7bniF68r7KbEZgJsOlupm6iyiGaqiL8BmsFA1lbSlpbW7WlXVWOOUDQvgN45BbgkR1Y5SWAObYmAeGJ3gzWftgdvMH/JcoruLOYdfDcEi62IXgO3ILlLbx//0AeGUSu8vCqOPZyZd0r5pT6mqSNla+1wI3Sr/TS1YnY98V1bWLy0JE/TYC8tdMIPQeftx764dzWMc2ICZ4X/Zsz16W1RMHP0WFwbfU+ffJgcTyh8cE/xxXKml5I6SlFjkZQKDK5kCoYwG5ATWdf2gHK79a9rByMs/6Yw22z0TyI6yCI68vf+NmRo3gCdkLPRieVeMA/mk9f97ImaLzAcUiURor7bzh/YmxSMzhckKdpV08cOb59+hOJMN+fegDT3ItAc1h+baKmq/myiGWDljmMFanKeImazCrRLBgum8hsU5zAKPXixDdgpGx39ZDp8RJWd6wrU80C4hlwQYN4lcSwsNIpku+KAsOw78Uv22mGiWYS0qC+dbqY0xKR8Jc40FNxRU+nE2p3KIzsFyp3S4VoX1AfFSJNXhTmtcRY4bZVjX5hMq2LMY8Hhf19ai4/tXreqk29j9RWXADfoZG6vi5j7EwS5lpy26n2as0vzh6TGTbgIjqBlTxJoEzMP04XWMNOjkTB3VrZ7azNzYSWAdZqqs8jY1s/ZQTvQ09XXkL/Hzqx+tVvnrcJwADn7Z6XXrLqZcEmL8IzdYKN+TxVbqWqUeouxlKV+IF4mqomV+Kk2j9EeBvH42XYkrWyHCKLeQTg/j2Wqf3OwZX/YkWtOzizfaVE+3A57CJYBAF1kcFtGbbrAiFMhvoSdHTYmGqIYsOeldF1tQKzdWbMgCVSw9Vp4+tGSDV/7aXXWAi//jG/5FEbon2pSLbXkIRmvnIrPS7JR5/YFUtJYPhF22j2G285HLQDcM6Aroka6jbbq+ffe/bItsm5BEOzjIvxOM4BxBD1iyoOG6jzG/LamEox4uqS29i1dyexU19NbmNJwuLMhZNs11x77dbXGctxBb/UtkLmAoJb8u0Xf/ClujQ39kqqqe6yDWe565PdG5Pcv1hCP/xeZRx9+3uVB8/YL1zeS3sq2uoj6O0bK4cxn52Bd9hD6LC4kQpx8apFee4a5dWRXZl21ioWoGXW61jWiO0MENqP0evo5HnG/P13V87DtfdheIFu3UX9kxWPLSkpHI3FJAXGplEOYKAJxlLekrR9STKfaPtFk0riEtctoHjd1fnoDuB28DsGAJopK72a4krdsKeQPTzdiMRzP3bpybUa810r9hJquMRgiK5I7/01WfOFRg682osdf5Rhp26O5SK9y3LwEOi2XbXsx5ibzMoupQZAnjSHQcp3+0wB50C2g2fT4G4OYzFP+UrOSSLmDZxXDGE7yKjzY8LGQK2khtTAVSWPNcnpQ+SQkyS3u8ifsu9hhECKu4NcNNwl6HviaoAOc/5Cm5zI9qq6x/OMw+H19LblexTYIssOSJGon2fd6FmaRkyGZVmHEOx0aWJcao34vUjTb0rHxEyDJxy6btvYAgiu56cMVZUiM1PPrZ7HO/0dElkNI6HnxyZWn7TNjHp0t0d2ud3Eti5jeQ24zYLkLutYXsdqmMUZPSw2lpR1a0nHOC31gZxugH+CzT4rP4tt71wVeal3/3YNeVmMvNYq8kbe3fE/R152HXnZGvL6GgB5HkCWogP2PA0ZC1MDdZgKfgBVH6UZ6jBSfhYhMCyEiKzIWX10amt+U4L/gJr4EgG+ywVq0s12u/VMNB4J+4i60EbH93+outgAaJr4MOMA5xBl4Gq3JmyftlmuIYNhvKlqmvQTsYNLMsNcqRPgiuOHOK/cGYYXZ9qwRtyEZ9uxViafs7waH3/lLKn1meHKFQA4ferkm2/ffXw0N3LtniMH9swN5UXpa+HIzgH9eC4zGQ4jPiyrev9IsT/dHefDtID8v3/+3NnKz879t63bOiTUIcE7Hzp/ZmJmPszz/htnZk+cmppNGLhGn9f16VniD1dmmQIzReWpPXgOqoTfd9R6X0xdizzFg08zawmMAY2EJQYullKON7+EHA2b+oaxL5yyZpy1VmMTmHNxtH3SV/ZIPDEORiUARZ9OEppLLo+6qYEwMYBnsEYarSiE2ThobKz+bkNXzFCSglWfx6IPQiGBDQXe6w6y5R+bmHZsTLRVVMSMnj8yNq6pIVzY2ZOYGD+spxM6UBVvt9FfBqb/audoWh8bBSsMyMTtEcSENj54iyKHQ0zGZmM9AicHFTYtKRG+yaPEx0cP7q/cdGTreI/qZiN+RdZ8TAs74Jbdld12ZtKjBsFD8q++fvQLgITWaMaYmbr1aH7KyESisq59fA7j4CzgIMqMg9f8MepTVDlIkyo6UNqAiwkL8h2aaWhLQ9VJoNOE+NJAfGmu1AFC2eMLdoELnSyJgAIcK+pIg2VmGyKzrUVfSb0KI2HIALx0ZcwJcCm9SoOaxl63GfSXmlotGvWvV9xXLeaBlFGNQ2CDGXgUrGMYqDeQA3VTQuEXu1LwZ3mZr748ruqqJIXbwC9g6BJN214AGIfbowk5nRn81vxe4m/Oj6YyeMJoGPnD4HLeu0+IcV6aR1EUbfCE/N2RDCsFJdYf8bC0n3XIje6U/9h7KfQiKzekuahXU6W2iNeLPncfihwB3zOV4v1JfXYO0cWZWcB0MqXPbLfqxN4COcoDf2vUv1PlLhL/xq4I7W82qmK0FMNKuU8zuy4Sm6shuVYyQKaKgOB86fBbv7smOFUQnHTrJTAdsM3FEpsLt3bSOkjrxC3ODiQoFafnSKvhFrDMbjDNTDtJpTkzZTgWd/WCX5uhwOJ0smrCBjJX2zBzg3TTV/RbwlhGVWEc6wJq8DRErDCgwWN8CagNBTeI4WDdhIo1cdyL3nrOA6qQbqQZh9gsxg19cGasU9PFkVR2erQw3xwpOxwuN0u7mQyjeFjVU/Ro9nHFEBXwPRjG9acOEMfinZM7r60w9Fcyg8V4TnQnMC6eAVkrg084Tf2EKu/Akoe1IgGdmPL7q9psl2a2X1wasIyQAWtpp6K1l8AG3iargm+mWsLxuZe7LNS0cGZwpbQlesnMr+DquxCZeVU3C8vcwi3mtuQBB9B+cP5VqDr/qrllSy4fCtfNv7qih8B6oN1aCCLhK7Fklno/6wO3FLVvShRJ4CaPNhrQ6X4LvPUrz9XHvaxoTbVEA21YHaemPZ553JOShbQ4XugxRJnnkZ6QRqWrYkc944rWHjtw6Bsz+WLGUETuSUeIH1fUxNt8WDHix4sjY6nM+FA6MzW7f2quUEjH5V8LqUKAczCsOxBuA6c0F+YCrJ8VmUiLaCSmH56aaeKEmKHuCCZi0XaHAz2iRWP+CNvGBcPt0uHpiU+peJq31y3FUhrg9mvv/8r2rn2G6qLeocoitkUbwdNpwwwn4MZGsk6WpCMRDVy+q2imvF7JLa+tiiOT8l0Zl++6OByMx5OxbBq2RzHOHYsrVp5E6PWarSulJnCA+JVFXxOP0/SkDeDWFLjFmNAaUO2LbfijDEfU8R5JTZfhAGzevNDk41v9gdh6sQ7uEKCnbSOT2WRAPA0IbxStSRiUD0jHWhbSqjrn1xYnwOtskZl3uMEKLeX72rODdyOzMhVX90UyqZjb8MhhhwKKhRtuShlPTk/ZnjuPopWfnV89NiPJuBLRSTscZ2kX48ZOlOOq4gP0E9ifB14SwLHLYm8Xw9sEcZbCPNVQzV1hWPNGLZZWLVHBykOwLHpcs95hA0ER4FNEZzfg6cMtCmgQ5CvHNyUs6UGqWDbGo0kc2zLtBCQplslWC0RWdTcm5xe/5PGGoz36YHazrsh+Hptr6FliatvCHUJczOnju7fmP+4PogP0d1enQUvGRI83xPequeIEfcfl57d5kmCqse4Gt8vlwkaewosONS63hv1w2Ce2WXHoUZDx9wIsQrj+JYRqhIbrc8IankZBlVCIiMZq/Us1DT6E8jacYBr9JmoEINOMh3H7AMZOPuhH/GuV4utMZrXgCIRYroOTckFHNDAynKZX3vuGpVt4uO+LcN8UPUIR2JfwJHZLwaBOmSRYB7RSump9//zf+tdKYVycneT3Ypdgs5SKXVrO/ekvv28JsgbODKyUjOAlM7Gy/PIX/vkNK4Gm9JaMBAt93lK0ERP8ct719i+ssc5es6vX7ORKchgUUxdXEsKXlleefufnJM+MODDsXVhRkdaJ2+XcVf98upaF9jQEMOfgdvnlB37pIv08txjko1iEkjaC2+V83799n4wCa7ULnbiEhbQdpJVwW3vkBjPBLXYncCFLnLQqbpdzn/3lMTJqcIuakYD+PtLqpE3iFjwP10YdCdoRnnED75bhZLylZ8xkxuzLlOFh6w4I4zq8MtwS78TBp8yU4Xk3lleTshJqOEozTleDxx/gg+FIVGiXuuNqQjPEjj49+R8WenRQ6MpTO+UuxTo99T87/4pMJ669tjRGMD3EpAK1Wux+PFeXFHHYJFt1tT4v7bRJ/OI8Fgg0awMDh2Fdnntfuodxs26vi6bJFMH95tcunA94GUeTh/W6vPQD3wJyfjLSw21pKrbkPLNePhzrovECY954dJMuq21S9jpvgqXn3/sG+q85LeAf1COpmMZUEha94/nSh4DeP1h7Qf+nay+Sv/4BKS1d/vbqD4hQXzZafnD3f1B7UT/8IbUX1et9VO1F/fB/uvZiHj1ROfqXSEXqa5Wj6KnXKl+rfJ1WaW/levTF1bdXv4e+UilieBXAzj8L8IqjTVS5haquOIaDMqQsF5k9Wkm1wDD4q3/0EuHgB+HQDRZmwA6MHFpZfvXgP2yxeByLjfhKiW7CExHA5nQRa5MwNG5LtIs1u7lFV7cf3jN7zf9AxKNvwLuLHtJ6SevDLV4VmQ9hrg/itkTFyclxPFaGczbWdHlxKVcZjsT7fAY8Y9fGQjAnsJEXDEbMDF4f3x0Phj4wD4FaGwd2+eAR9ayAqjYQmaVOaN+alUl8wlSIZDQwWxRWEOt3cU0trJNxRyN2ttFx+WuVzfKkoZ2YSATCXRE/G3VMbivqASD9UwanKKN8wBst5pt40Uuffu8b+x7LpIaAX+5l6C3pe3SLzvGaaSrgzUXtqq4Y4bR0KlnZga7aqevVKH2vX/yTDdUo7P9aNcoD9DOrp2wTq7P0d87a5HNnL//wHLn/T4FuZPsF6ipcxZ3CtRxWqoSst7gUsDJmFEpxjbUqD2SOamaOLBiFS96jyXJvDptQvQaYUL5kOdeL93I4P7QNq0OKZFRyRNWXOmX4DPhLbssrrC1nlvL1p4doQwzWkkVB34bVt8jyx2AaZFFQrIU3ajGdn6Z7E6rcAkeM3zGE2NfjcqSVb2CDITEuqopoiHEB3DQlPvd65de5wVRcDodRONKlJnrRhbOM2xOLJpQRdEMxkx1PnGtwxHhw5CtP5zb1inFfmKUdLVyPoKu5ytOH44lzYT4uZzMFtLeoqNFYQwOGIe2vzNIvkpobmarW2mh16xLq1rqE+voyh2DU0P6ncdkOqXd5pjJre7OGg6vq6mlEjIN2CwdG8ipcwWGs44C5aIaSpS2Ag3iyvIXBUN8COCgzW/Am026to0dwYOD8iX0LwD7pK3kb4bPdXwrFLZctScB/xYI8axEzKVWb6luzzcJBxxVIksRnXp+b9ocFpSOhqIrUJYR5tzsYbZWV1xELQJ8M85FoR1xPpNMJPS61RMBXiBuZocqvK2/M3YrmCl26oAQiTtod9HcLfeoQmtPjCh9l3QhAPplJjVW+kFP1cMzjBinX4GmNJNThyhPg2itxPozp+BAdZ/baFKqP+iPKjGvVqqrFkD3OrmecdK2UtNjoF7e/4ltbR0NeKbm4S6Z/ZbHBRWQXaTkXkU+uevnkxaWm1AuuBi/nl5W1xUA27ltJjjiOSkWpTKZkD+GV9FvWCH4t+BSuL7QPbph6WeODQ+lscaq7O9of1f1dfj4SCwm86Cvm8obQJkXizYlYflI8cmpO7pAjvNxBF+8DeDiYRgfnaHI4WLcDNHYk0vNQqIlzeWgm5O5KOBzAHH4KfxdB5R36tepaMgPra8kIa2vJYPrBWSsb+VhETgaASdd/AwEC28GWMoI0HXkg8tIrlXdsL1weZ05885skP/H+K8yofR+Vpo5SOOiRMHC4ExN2Xxsm0T4NSDSkVT1zsyFZZkkCinXhdd02E1+iBW7fwpU0sg4tnmWH19FwJ0sZ0PG9GhjaIfAm2vqsVdlDviXKH5C7Ni5aXF1uHeBdXYeMOL7VFTPD1RVLrLXW8e+ZWDSbnp647fRsITeg5zwv+k+dfGxqemb60ayqF6Jh15fZWCRt3Hv96UMfm0mlYlH6vmP75saLquJ+8UVHNNKrHh72zh2+6cDyqwv7UROnq0rak92SMvRB98svs6payN/4cSJ70yD7H7DPUdupE9X8TRZ0No9rEHvsby65Gyi+UTU1A08DMPXkokLxrEoK39mLpidZMvCMo2TZYDHQDB1YnzUI/NwW6+8AGBl49mQWYJStribp9pWGR4AqexSyrFNtTckhlENSykhtLG8IY1Vow/CpruAWBKdzbc6/WF8tI6VlVQmH25eXm8Pp1GOHJ7P5ZCKucDTrY7ycj/VqUf7E+IlsDtdALjgcQX9MjNPXZqMxz5+6mrwxQVayj/pjkXbh9rHzn/vR3PhoOpXyemMRPZGiGTvtYMBp8rpyhUz2xA8+dy6jxzUlJvItMaNZVeOSHORJHvRx6g1GY45SndQwOkThabSdhilqpQSA0KeZHmwSDuIg3AghL5zRk62pm7I1b7M1Saoilvqt3n5tKWwFgQpEcpBlVzopvOwK1dn7Gir5/Hjb7yNLsJBR1qlBj5PVYDTWikdbY9YCLYmRv/n6urnpA9vpb75e7XFyiw5nDIwlFswqthWG6g/m8MHgcy0GOv31Z8HBUXwwPr0Nn76cMP7GJENwsIQPLsON6iQYlylDt8+KR8CN6oaimTI8At5qy1BfRg4XF4i2SeuxqSt7LDk3CJ6RKZN5Q72ofyCtpGtL/KXDztribWGn4kUdXYqzVm82UFuaDfvuVVn3+IIcj8v7D+wzfm/r+FA6d8OBvXiNhDCv7F+4KX3igRPpWyZCfI+ip29Na6ocCofD21OwnZLUQAiNL6RPPHgivf/mm+QE7++54Za9uc258eLW3Ob9t9wEF1ZuQRdSab1H4cMo5I+Lg+mDm1Pj+CKdmrqZ8KMB/PgImdP2ElX2XlG/vMT5vBSwo8socXYcuV0KhEiH3cA5dRJjCtdXOHuBXvzJUiPssclyo5espFmdM+4lS2x6Odjjk2bjeg10c7UG+jf//lOW/86BYb5WAv07Vu96CbTdKoG2UWAOojJtD9XV7OISaJHwK666ATMwDf/Ga+gAOvSNyn40UjmNFxUpV+5BJ2nYHraPrj5E37q6777P3Pc+XiT3M/dhHeGvZMC2eZ7oCImqfmsMXruMJhYNXrvM2qopBMMnRRCxb55+GhUv/xtzq819+R3Cm0+8P8OoYOccox5AHVTZwNbNVlKrat6u4a8bIcvtP6iZ4sWlOy32q32RCN4WObMP726zdu8kU+yWFqy9jydLD1mw++XPXp6xVHuUTLT7zeAl89Mra8Fb8zxnnlsp7YTe6RU4ZDESXZtsNw1q/2rSTuG2DEN1sVsYx8xxdcacwisegRO+c2r6Nz997vzk1Rvdj48cWpuBt+TqNrLzOEOy4CsPnvldEhPb6iJR3e7B7EI1qvtRE/FqE0GtlR3Sa1Py1tco6Vov46wuYFQ1N9bWsXWGPnwVzsAV9Uj9dev2e9ETX3ALMTmWVYeNjKp1h/hopD8xPJ4aGS6kNFlEnHcIDGRVltuinB+9/q2J+wyw97gvsGFeFhKKfqKYbxakdJy/mpP3F7LpUU9Ta2wyreiCFPFzQjSTmpk9MDU3NpyJK+UInxAK6UyqTxdlzt8iKPGsOp7WZTkm7hcMRea5BtbNRkKiqKclMRbxhxuaQmFZzBgT8YSyPRr2w267ENfi5x4TY9G0dlUwIcTwWQl1TBNkf9Tj8DOswHfLBydAishKyuOP+btjm9S+wkg6EQdPwesRhZRBP9zbEW31wwXxV08I4r528CJ4b4AOeITwdrwu3xTziu2k/UR17T+8Wjtj4MX/EnghhGR1q1rYX/UGahUlzg38A9aKAf9o6qmfPcW88iL8kHU9BUphngPeiVGD1HG8Pi5erx/nMXgwp3bR65wU1vD3m+D1yI5ouACOlKbfRW7bZgW32zhcILs0Z9lSc9ZXnXDW0vV3gxxKzPn8wy4AJNu/dfyWI6RmdNcN0Odu4toS2XFqx4FbPrSklrMo6SNX6ayT9eGPmD5aLXwLbvhek3Ubw4r1Cpo2ObP/tuN33bZ/ZlJLJPDewnsLeEfbKysj+ev3fnXv7mKxS1GUe3fPvD4zP1Toks+Hw93KaOGaop4qgNFxhA1wYV6MqqmE2hKNxGKxbnWz3BERwu2eYx4xosQT+ta5Yv46Pky/u3z23mv3xMHO2LP7985U7jlzbnZPHH72zJ77zHL58LGdE5Isi5MTdx577pljx/9AliRlfPKTh5+bn5oxDFEI8Kl4XJLCrRHe3+gO8Zvid45NHE3g9bPcLfwg8FNKESXOL8Q+NT4DcvI79Dlbxf4I2ORXU/dRpkEWmctbSO1ImnkOV2Pgne1gCRo4YIB3xkCRaLjelWB8imA8beE4TVaaK7G9yWT1G25KH4N9ssC4L2Nu85U5zcDp3DarCHJ7HpdOt3WRFZBKjU6fv8z5Ypn61WTSWBjVr5pdLfCv1lAHqwEUaa2u/4plklJOC9PfiUUX8iOjL2n6M30JzwMefzSeyKSveezqaY7b5HU3ub3j3hlZYhh1fHLvycLW+91un0du7U7rihLj/egxMacLYty2UNQSmUYPo86riQ5x0p0R4oLIcahQPFP5UVoUEG2zzTMuNT4xqSYGMyejLTHO4/OE/EosEZcNhnU0eVN4jgV1HvzI5yiW8lFfpmqTWkl512+87q5fNdIeuGQyK8t//e3vf3MtX8tCN8OW7OwlL6510ea//4415ubMhpWSF05pXFn+buP3T1vdLjy5HRxytuTFpzStUMNeHOi1O/B3hTV6m3xXhrb+w+G6Vbfx2prS2sYpNGVWymiqfA5NlyvPo5kl9G4eHRUqn63cH0OH1jbrvneCfouyg0VUXXmz9o0TjMuat8IQIYa/yYshS4Qz1NoSKvhbJSTfMdsb99F7P7/6MnqO+t/7Hghmg+zbTs1Qf7tB+tVJvG0angqDJeK2HfiptmXhqa4aTSbNGW1pS5UzrvkQWbjd4pPxpLmdK10N+B5NLg2TvqWrrKHhDWJytmqmvf2jF4lNMcqZ28BMu4oziyuUWexFpeK2qrq/ervP/wII0y6j31oYeVsX+S4Dc4ev3JagMNfN+EtNw5n/PYEa8IlJS5cHJJtkLYGRIstf/Oek5WvIOP+Ikd7195//xp+8MKXGNXX22f+sHFx93jZ86tCBLflA5Uk0DeRnqvHJYqdEvf/++5ftbzPfdUz7nVSBohzfIWvcjtlE2++CXxymdBwVxett4NoorN0CGo6HETsxieeXLUUsPEa4Upe1ciZGj4HXLY/4/ItOf8BBgL6pHWQYoqwqher3Ylm2kmXXkGr9gZqlZM1ltYpNrK+MGQuFuuXbD98u40KS9e3ZJo6PiMJOQdQ9XtTk0UVhsk2M8BzjOJzu75YTCbm7P72++dBOQQ5GGuFQry4qOUXUvXg7wsukhhf8j1nmFeCRJmp/XUUno5kNBl4DDa9JxZAFBcATxmuU1uYGIpPTTO9FbI1bi4fWuRw2Fw6Y1FyO6jJVvlrFJ149d/1LYPAqurUvgrn/fhq2PlO58/7KMYTnFqI0bdgesJ+nEtQRykxoSz0WTpq0pdYqTnrxSufVb1Qz1SQJ2+CFSU98++9qK+uCu1LqartkyivUos1uLSOE1rYsn7InYa1h1uQrB3iB4AxVq73rV9Zc/8KLjV92ERZROjqnawOjzfHmqCSPF3sS7BkH+I5xI104c19U6IqnbkrL8RD6K3r1afrR3HxcVvSw3A12X4csy1tZPaFijXzqN/J9KVmRx+Mdika+z0an/3/S3ge8jerMF54ZSWNZlkaj0UjyWJbl8ViWFUWeSGNZkRXZsaIojuMYx3GMcY0xbhqCIU1DGvLl5qMpTblplqZQoJSlWZpNs2w2Ty6PJJs/m2VT0y3b8nDZ3m4XuH34+lDa7R/utpT2dllCYvGd95yRLDum3d5bnk5mzhyPZs55z3vev783aHgcjcFm6jYq36OCvUwfA56ceVUIt5Z1G23Na3rFw3w9qC4RwjPrcTZFvb1sIrcbdRyvPO8oRGPoX69Q9DcTrzidgACoLj2vbqluBWogo9BjWIaBWjGYV6Ug0NGT5o+NDu1o9TW2RPh00tfki9v5oWxmbYg9wUZHZnoyXZoStPPh0IQWCLpFu5UeGnxgOBMPBQSnwWLL5HJDkbjDbjDuY1m5wRdI5RR5kzU51t3Ic7IiK9pgQvMwrCB4pYDSejDTK/Kt/vbg9fmP1Mr8R2Ml/7FgJBj4eAdIaC4T/eV//XbpVWPe9ZvGX4JKWjpsTBmTVIL6FIUT60hJgzq0PXVgYP0OqrbKH7++EsnGxEAEAoCZNTHgGCBuJ8sCUCyZDzgKghOHJSA2MSe1xTRQzWjHXH1wTZiIukuhCYnYEsCGniBViUwIQmBCWfQB6KoHnuUsijcRHeg9HIwInnmISjhP05DIEj93aHBzpsloLB02fWvxnlQ2rga9Eh2PaN3Zzczea3lL1NpvDUJAgsVSZw5YNlpkdt8nm/2pkDtVuh/qZZSeNyZMOaqeGtK5JEdoELEJrqZiYaiL0XkJimTM2wkp2vl5iqVqQb1W0QXAy83XEbGwgWzhuhVQxpU74L9yPQvJEws/MsJsvvf4t//r4Jbezkij1/CjkWyvFu46euW3rP3Kbw3fdIsdwf6+Dz+k36XPMW8w3xNYJoPlisOlLA2QiC2UQkEZrxYNSAFvygqkQYKlDV6ilbyEu0LoMJotNQmtpkpfDdMtwcPRQKjRG2DNTb4Bn2DpuyM4HVE5gBVNZ8KcXLrAsqzEiXZA82ee2W0MhXMRv1IvWTkj0KUP8bPTpnvR+N1E5Tl13k5GD4LycKErSKLVy2thizQZRDJSxToe12+wIYrjMfHxHLG6QhJLHY8hUDAhlyVeKIRSBbFII6FflZVGr3DkncUTtJmTvG3eeNB4ap/Z4uC9UvOi7447mBmvKDos1lpsP3kL6QVvI73AS62ldlB5lzrfSt54Dbahy3pSDdoVG4lRpJGE1ZMyljirph2AI2vMLmxwWNOKqJ22cRQmcUEXPmLLi0UGq6tFglTBQ+zrW5I3om7LvfTVSNQl1ktRLTc4PTHQvy4qHePBsBtRD/Vmjh449F8Ml8/3D0Q1v69bS+Sy+S1bOuNepGtpnVu+PhJN+gMcvylHh0+cgO+bRbL34Oqyt/gvf1Ute5vNV/I1SPY+8Ora6xDbQS4H2bvyJ0T2dqA/4dGfFP7l56TZyhfQskK3OBC+iexNQ7BjDVpyVs7OXy97/6Hb1RDwGu2i5fLJLBJ5Ckj2LuXpEDrN50EEOuWj99Of9pdO9ZYerjpF0/zhh2h+MfYNH2S+UXqPovg2BokHfA3zJP3Y4jPovgPdz+v3f0Xuvwv3z9EXF+fRfQv++xF0/68+lMl9qfL3aJwfL72JYysyVI76BVXM6tYDP6KYDWohDFL5Fsw7FcQ7FR7X1XHEcFkmIVbo1/f0z/73H5OBZPH4+uyAloMu5swsVECuxUcLHAHkqsFXj+Gt6jG8FToWUbcq43NtMm8BbKv6CrYVtdHCmuvqG3y1lioQKzQNqzZjWTu3CTTV8AZiTgtDcRqH1ompO1H2BlXkiEr1wgpe/UchfetmBzDNPC4IfjnADnrW2NX6ACfSTzGi0Oxr98Y9QT7o9wmC6FEiUa0/m0gGkfDB/q21TelL3Tz2qTtvGj+mNNNPfWs4G+9sD/vZJAapD8mq1rseyYeKp5332/zNcigcT4Qikp/jBCEQVOMbrDdtH0hosl+SbsplDMe++12gEYyPxJ4X2qhWoA1q04fnqN+v0n43NblaOw0hy0vtT1Tah5e1T1aeM4sa3qq0T+vtLNLSxir43ICVYkfU+zuqaMUZVXZNWwbnm3fG5jneCrBwHAb3tVbAfRvVvPU1oLJyhKYVR2gy2F5OwFbLwN4bOv9Xfxm6gsfQFXYrWtu4PN/STSdgQ/AFr/+KCe1xc2jBQkDYxK//EXtHvPyc2wshKfX4KMGxiI5VFFkPYbrUnLte8up0R9HwlHLDCnjvJcRh9H+DE4nTnA5yQ/+CeRwt/v7Sc/SRxTdKxVMLtLefsTAWi4u1mHKPl0YfK617jD5d2s1EmXtZ2SIHNgsyGusDpSzgVqOxbsNz8F/oGcwfMGYynst2fe6fw3O2sv1uamK19srck/bJSv9ZSsRzjPFwcf+1+vOfwv1Xtt9N7VmtvfJ80j5Z6Y9pCNGKV8emdlMhyNfFdWk8iEyM5UpfFC0abeF8G4nebY9B9FLehfORISsmECt6XEAenna0+7o8cOoCxcbDFxp1lM5wpaaSlQTMrgIU6XAuB7OGufOeWIloXfrS5WWY1rRcepMZe5i5eTm0NTNWylWhW5d6H67MVZg9g8YgWllf76F2jOeJxyymj/EFPGYr2++mZlZrr4wxaX+i0j68rH2y8pxZkB9wnaq3jBHjQaqOep8CRJ46LW9Q86ZysiMMMUtqvtqW/J11xN9ZB/5OEwvnrGnJ32lgoIUxwN1aM5yba3V/5/A/v/IHwuuqb68SXldxZa4eXld9+08Kr3PW0ola2lNL19TST9AzpTN76Cn6lr2lc/TU7tJflE7TA/QMPX1b6ev0LbeXzpXO3E7fWvoLsMEnPvyh8cumA0h+jVBdtFnH6FuHKNeq++whl8au0vkEwe9BtKhvoZ0Eri/vwjkGhfVLY9tCxrYFRs/OwzlvJ6On9ePEUX307BCYAsd8Cz/naOEhHBaOcDeA77aV73bgu11wRPKrvYqnYUyzPJcsoj/V8z+6IN6OepbmHDJSwbuq3L0rWvAO2wlRLT4rlh4h6MKE/VQ4xaBsuSJu35pqARLcvrReyw2L9V2OzmDiS6rkIdilb3z2rqn7I0j50SFm9904nPv0n/sZqr07uf2JbUPDw4Bb6vc+P3pk9jSBLb3vdObS8JEDX9bxZlv8A08w33/yEHOxr0Wmj9+3OHES8Eq/cQDWIMZVxGtnvb7WzuA1srL9bmpstfbKWiPtk5X+5T0R417h/hv05+ymfl+FdetCe+W2KqzbedFN6dCo84bWJTjzAKYaQHVk3LEY0Ipf52ZtwM1ay3HlWJNYXg1WkV2OFai3l2n7PZMzyZTsb/Qfnhw7VvpZaXhjKrSEevsrv6zFR7bfMjUwfHdAKUGkVSgYT244MTBA6XiUPzU+YHqFup0O6Hn8qjYnUlGOlBEEG2xhGl58Fr/47Yi+b+cL2yth/1CaGXBsQuzbc3yozxwujKMu4youaHQH2czDn/++QMTInXx+10LBi8RI98KlN1pffoo0b+HzmxcKLWiHVxbKvfH+7fG68f7txvs3HBvgiHZx93KMPw/s5dRGq9vbomzesnOXp15qWOGw/ahbmOa3344ESXNnfBqcIeN+tACiaVgAadhdOpP5aUeBjxNoguVQ+/pOwxmIdKmn2lQtjTa12sVb7d6tEldXQvK4HKdk/+HxidnJ8e1xrdHLW/2Sz8yb7WYvx8fD41qgvdFHi55QZNPA+PDD6xmvHKlncyFlQos2+IJaICGHvF6a57xSY8AhNfN8s7w2HsvGk3JAEI3MwcnxWZ9PcgeDyXhPsiPQrkhmzmwze93eplB3U48SDCeSg7lEGgmpXqn+HG9FqoWFVdXhdDDsC7plfzAc2RINBny+epmX+tYqzX63x8oJohLakL3hGoP3RYxlZZpHayYLciS16RS1avvdQ6u201vfqW6/UGkffr+6/WjlObPvVrWzlkr/IeiPeLuI2p8zDlE3Uweoz1D/RBVvBHrfopUxRDbEMJ5WPqTpkFr5w7H5u7QbISbzLtJwl453P6un8R7D5q0pshSm+LwENxuI67dB1e1QUFFxLwlu6yQNd8XynXzhIFpFUWKp+ixaQnsBh+bGW5PJfKejELgB/XtQKIS2oH+jJJ6LKmi3gtNuY98NUxidC5x2UkMZnasCzrUiMz2oK0RAsVWOB8BqWQaJtBQSXY4FIARM/BJlR+0SZBctV1Gs2B0J9aU3PMmyTt4rtcr1Hrdgs5j+2sp5Nm+Ij473JtsivamhmY2ptUGeX3zXYpbEgBIdDKvcn1nXtCn7B5ORqOJtkVxe0dcSiHR0Z/b4ZM5+vjsZD6suqf6ItE7xy7yTfofea46EJnyNigcy4yOzXwwSjC811AKVYQDkS/HHheFAfMgt0oq8pb9FDgdHB2f3H3I7B7al10f8PlqN5iLqjUFlndXqFePBXEqO+PyCEAHP5ODwHllZE/10pw78pdLW8yNDdl4J9MaBvu5FMnvCOIToK6fL7COY7khdTqDffkLveWrV9rv3r9pOb2Wr249W+s+aSTvBJIH+/5s8//nV2+/eu2o7vdVS3X600n82ROk1zX9lHDK9TmnUILpTXAuR6gmSy+0xYsSAeXNuraeCMTfnWOuBYMXtal54jWRndCKu30SjO02taAeBaqK9aqEVNQ4tSUNL0XR0wdcE50167Jx004sbMOt38HO8owlJOgI/5xR8YE+AI7T7ob2IGqs2gMZkEXWHMz/S5nhno58IheUzItZQJL+u11E0W+tJVnmC+CDMDqJBVLvmgOxNQRx3o8EiCWCRBzHdlXVKl4fudNDluuxeTzo1MXkim0YUH08MlK4m3ohsGQl/X8zIGm2O/+D88KjPl8qM7z72mZsmUkmf7/kHvzycTrUFBIHngsrBr/UkA0HOQb8184nxXLYV0bh3bMdo5uD+yYAa95iDQtuB2ZtPX3rxt+yhPbsz/UqQbg1keqem9z0/7/ZE1E39kxP9WTUcAfCCbD/MO8aAwHx0B+GjOj1gzAJMJyOEri6t3n737lXbsey01H6h0j68rP1o5TkgUwE/PkS9aRwzHsLxNHVUgsobcUx3BButsVfMjEPGcFSNFQcrIxZaQ5itpVyHhZSH1FwQonzI8NbipfPnzzPTDz1UOvbss8ybzz5Lfms/eodJxPtlah21kfZQxUYds8hDEy8zUHkd5B0B2Nx8WOfvfVAmHiy+LYiGrUDYVjsibAjI36AW7KixKmQUQkApHA6K1CkrnFvrCGGr//4qKUTmQ6qLD8xljfycrdEK5jI4QnsTtM+14WOw3CeK+2yEYxF1qKJ5JOMHiT2t0arnrW0EtGTqWYvN29QWjG5cEvNXtuD1sKFFr/gY7gTPlH2FcxpE/GVxYzV4MWArMU22F45xLuXtY+rf3yxnsjfNHHr9SP/Q8LQib+q7ZebgnuHx1NDgaFSqf95scdDXIl2JXH9Xemd0LLK/rzeDlkeDZDY7GP8Du/dsHWxSPjGyaeLE+/fv2zMAKBQNPm0sO52dmj4yqvWuYTIYfsIz9delZCIkCrHI+M7PDCdSKtAZzmHFdDlO6Pgsob+V7XdPrNpeoWPSfrTSf1Zvx/lXuP8kec4s4ZvPAQYGkqE70braSxVbgKJShKL0TJF557YWpALouTZlAAaAV2HiBFplE4D46eALm9YBUI2zZQ12a6fQPBXUdUmIJpivqVsTtlS8VVXoj/8pxAuJ/kM4F889bWBq/zjIxUfiW0CuSwUG8j8FcGF45qNhLSrjfbQy3rNGMg/EPjlVsWduoxjaUpEHRyty37Y3qvtfqPQf1O0zK+XNQV3epErTxh+bcpX+N9AvUfj56H2+gPf9rN5+APfHteewbtim64bHsS6J8Szx83OEXvZQVf0vlPsjuhPx+6zoX6FH0v+2Sv/tlJ96vNL/lUr/7eLqzx+g+FWfP3CNqtivduP+QdL/w59S70E84oc/M34P0XUc0fWN1GEKZ97Pif4OLjyfJiiVTqDvUY0wzUGdaY5Xw4tsRkzT6lfaAV0E1N6bEIFvTgCBm9d0YAJPg7pVD0ljg455ylq3JoRLzUNSw8iK2nxasC1tIOniOmgl2nDj4JYloHtlkheWY4okytBNOM4j7kSbhb9BUiPZzPaZ4zGGpucZhrlIXLZaJjc50tfXoUr1l6ycS9rapYWifgVKJnialTEtMiT5LMyrwy9eYMTjh/YO5BRl7OOWWnMk6gdQy0FrWMSYlgaD1QSolpbEvoiqtGwZ2L2XNr41PB5BGppfS4wMH9q/dUTVOiKdqQH6vEwHAqU3db/QbkR7LPUQ5i2AE/oo5i07qb8h+DpzooLUc4h1ghkQIEqKGVQEG04lRBNQ4AVctVbUwNuJGvJuAtRFYdwdQNvJ0uFijWNtLBYr1EOJllgxWw8W1qy9Npyv54lFS80HtWK9gsMY3LUYsquQjaOZY5lIFM/cBrAUNYaSBBKmxruGjazVUUblCspoGtITIeLVpfwBtNHrcGBWqsQYcXQ4yjClV5Ha9PnPL8MdLQPBzGSyXUgrdQqCoAS6lrBHjUw4HJqpX6eaReaJ4088cfyatjr66BdO0uKBLcNqNOoW18eHhg8d2DYMIpRH1LShGyv29KmKnX0bJWDeQ2T20Yosv42hquz4Fyr9y7xnpew/aKzuf1ulP1RGfbzS/weV/tsZlvRHPOnjmFe16zxpkOgQqD2HeRXpf0N69fcZ+Ij3GfhgiZcM4/5rKnYy6I/xOHH/AcKr3l+9/yCi4dX6Dy7rf1ul/3bKgr+X9H+l0n97uT9qH8b+EujPMk/oPBL3Z6lyf+YvKarKNg/vE156f9izQRZmL6DWOFRsrCBYgumObwF7HQT74M26C6+ccBnDMryEYZlA/4aRWjFvqg2tjUA8SYPjab6lQ43F4UIikFVUoaUMbQmxP6xpNYhLbQWQmZ6LhXHMDPEEIIUHlZrrsC7DXgxi5h+qYJiNlL7x+71vGH5hypW+rfR5o2J0s1/iObe4LrwtM7s4yxwdTERlf70bA5jtWHzJ9KTwu98JJ08SWYbRawE6KQ/1aVKDLG/TMNxKvkabF3nBoFs1aQqf1rk1DUd6mmpjiM3UY12QiQHYbsEoxmJFARc0FMB348AZMwXWFVslZ6Yg6eI8hMaXGQYUdVQcHsRBmDNQ2/HMmRcW37uMzhbfM7zz8Ivofw9fE6DKo+GdH/8Y7JlxHZe0k/oyVdTg7ZvR2wOP9IQ09L7zHoKjThswjzRpELIEPBJye+JqvhO/PFSANHJRxB+LtZ0VGJlODCPTSWBkCjKUXUMf2QXQ6iBC29cRsCxPCOY8pEETh5o8DgxkV/k0nF3H0SvFtlWnXnHEjz9Lh0uvwrz7vNI6mPjxnqSmg5xWTfzTxovA2Y4H0KS7En6fgmZdFDoxzukQ8ziZdY+ghnt6hxcvGC+S9UH8d2cqfr2y74rYCC5UbAdlXY70n6r0L8tepP9opf82c3X/Jb/hoG5nX2mbGNRll5cR36IwP1tL+Ja1vL7HAMsTtQ+S9kT182+rPB/zS4gjw1iWyVVwM5n/O9zMCkCrjs6KVswM4mH3oTUDGRzjug9gWbnPPK2Rip/N1dg5xqXyGKsU/5QrxT+NFYZBynZdV/wT75Mz3xy/5IlqI3tvKf2WfqVeUrX+genRE5Goz4+LS0/570sklwqADndDAdBIJNq3BcRj6nUdIwB08TVUB/U6VTTCd7QAzIQD/Psg6a3Fy6UZB34SCNUGUh3TSKBvmRjg3VKA1aHCmURQ/fKRGMQpIRaaD6vlWpnv9y/8P8T838bnWxcKdXYI0Jmz1oGfywbHIjqv0niRbvu0zd7ahlRrHXa2+grrtDUQZGlegxZd2FFwtMA6dICauyaZNzqQsovXoMvg1Bw1KwFpE4QhL4ejff2leaY4IDVYOyy+SLxBx6Sl55XAwa+PVhBp2ZcAoveD3xuTV6/DpjWOrAJNi+g2j2gmhPeliL4vHcHr7lU0D25YF8xZsq/qOsNZtL+9jNdFx7J971eonayLoaX2MvYtxlY5WI19i+eMJp5g+j8Pe7sC3/ajyriaVivjugzh1phc/CVTjxFu3/l46RD5BlzHFY+FSvSnD5/AezTGvkV7dC1lR6t++So2lFcx/59axVCor4ZBb2dProBchhjUChbu4jMQjHrKGHrw6pZTsDH6fwbvh8Z4EI+9SsZYt5vdh9on8djfsGxO9Lq05e9hnqDDpvOofRS1P2J6hUf9vwftZ+hzq/VHPOz04ig8H7XfUXk+aqfPLI7qexzUqrVRj1LFOhgVs171G60bxhyeM8ERQ1IjboN4S54mOf7GWLEGx9zUWAgyNUtjFOqyActG/NS262MAys594sPP2/i5GhsLQDBwZMD7bq32vsNiCnhMOFCmJv63l+lAqnSGOXPt7CGGnWZ+vHj8q0culfafpl/uqcY4dqDfXpplO9p7jeTb0K/Wos+ywhFCBvOm1yCbNs/GChxGWCxyOEOFc6C5N2CJwoDn3mBG38nxQMZ6mCH+TqMJvs1khO+02uDcZiXfaeTnDEabEwobz7EmsL3VwRHaOWhn5gxsHVeN44PIqCYYwOSUwF+MiOmHG2mp9BTD/qQXkdU9p+h3jh74C0Z9cPH8vQfPLT51arlcGtVtBkfx+ic22nndRgvtJyvrP4xpJEpo7S1Ca0XULmE5fwdp/9lKuTeqy/nsKs9nsfwP/ZE2YbzXlEO0uWMvptkSolnADUZ8asw0Qe2i/gfBWMRGABwQAYnTBBca9rj5Pl1cHlPz27DJdKAaPXiAh4AICO0p3Kjjl2kf/K6SVLWrGj2494PpP44evGsJPXhXmf0PEPTg/HpH0R7swyb+ddtQUxCqqqDdpB0ycSihUDN8HZ4wzmfXIVCWW/iD19XKdKxQTVdDGo7+/cOj/YBuyfNtwb7e23rDoYBf8riPe1jO5RF89WHZKwo1rFPwy5Gw1tuTCqseL0YgNuUsBIE4WBed2u8Wb+nf8olS5p79s7n+UJAGtGivt2m3v4a3czVmn5TUhrffQp8Ziie8frgZUbuz267da5zqt0brAOzOgvGf0b4C+M+j1D9SxQGYxwDs7CrM43IU6I36PO5S8wN4HrdWz+NWHms9gAI9tgoK9OifjAI9ujSPo+V53KrPY8JRCGBheuNANRr0DX8cDbo6MiXeRGvXT96fABNdZ/U2RqLZiCcoGl2sVVC8Ht5iZv808OhrFwbCiUC7y4OEgy8yBqbO7ObbWzoMzX8YUZqqxHlNVeK/yjI38auMVvwtZZsD6X+h0r9sc1jptxmkqvsvxZ3toCMV++WOSn9o78U6ovjhNeOLpkFKQv0/r8f2IRGx0BIAfQm4ghWXGJm38WKtDSN30pDhugT1EkTShoP4cayxoiOIC7LUAcd22PFRQHs2xFMFG6CODa5r7RDxSi7YeHBXNCSThVoramnHJkJBV6SqIjTZMN3MLNU+QncTjrZw2T0n9qR7PzZ9uDvOREp3QXky+tnFr/mEaKn0v54WPYjq0v1oHqX6gFUbSHe3B50icwGR6PBIIMg+Xhp4rNT9mJEepqcend6XyjTJaFJltrGxr3f3AeJv8qGxm0frLU7tpG6hzlA4jSXfrgEGM6ib3hjGA89bNN1smr8pNj8qdhiRijqqr8BpHFywhFy7GQ3IKBpAMZYf5TGCvj8GlZUBfKqZxP/fCtZVAL7vMELSoaPAgjC8CwppUwWxxwEpR2uS5BbVBYY7Ic8u4YsvDw+oMshV1UuqMrOuyFZMLNdeTfKSb8E3OvaXl3ZE+np3TaZT7QrPl1zmWreYCadDAf6LnENUZK1zy3M7Ir2Zyf7eZCTkcZ/nLF5R9m0NtLjRCqRtVtGTDgWRDitZrQxLbzKHgoNSp+TlrIyflk6eyk+FQuHQyMCd+w+5pzZu6dSSangwkmwJB5V6iX5uGnKG+3N79506MN2fUgHRPKaN7PzMPSOjqhZwCVp0ZNRzYXjIFwim1y/toY/jdRTX9+J+vI4wBjReF7uIXX98SUZ/HO/RcbIXl8o67ThgRuv9YW99d7Xn0wMfvrPa8+kBXTfGNapx/y79fYjOgHGQcf8x8j5jq/ZHOoZxtf70Vk7vX8pCDezK8/+Lbks8j9oDxkG9P7SPVT3/fOX5A7puv/L5A7ptcxCNwzE8PgkyPj8l7ZdL44D1i9pvJO3l/lCLGb9/Ypmtcs+H7yL+A3L0jeeJHP3qstrNdsCwtayo3Txvs1poGxixgB/lTTGsOlhey3NL8egWbOox1JYNPpbaqootVqJGVMo7E/OUEtdImeff/Oabv/kNlHoujT28+DCz72H6ArzTS+hdGdMo0trup4ohmtQxw4lcRBer1XDQfF1snqZCJvR+dgwpAQzBVl2jCcxpZivir45ImVmiNy9GsMEgYsRpSXkHD3ob5MrWYDW7UANJlixa+q4QOvFjcOEmPVZaqQAMY4vUR4MMp+mXzp+/kMQwwwRqeNqLoYZt/gY2gKGGOa3r7I5hhrmPDhC04dIb9731UXjD7y3Fa56pxF+W7U7E93qh4pMt251I/6lK//IeSPqPVvqX90DS/0Kl/+Cy5y/5fAeXPX8pHhRC0p4o98exZKT/UFX/rVXP30EnKs+/ofJ8aE+T/kj+SmPaX0/sVynd14za1xuTlf430PIKn2U3WbsfXsPPxxjB+PkTZO3qPjwSn3qhHJ9a6b/CZ72i/2QlnrUc54prpuLnpCvx//AcjGGJn3PzMh5D+t9W7o90Vyu235P+r5T709tL1f3PV/oPUBbMM1Y8n+glFE0/oNc2AzsJsaxhpdCH1oyPz7sg5sgB4kUQixdQ3bIdr1HZ8Z8oV+Zy0A/80TplxtGPLlB29XlY42+jMY6YximFehzp4zj4t1J1QdYglqVZ0crLusD4wE7equJcVSQ/97zyvy/ibJYWXNHUVJB9VwCG3ARh3kyLwQmoSHM+uRGqfMMR2hVoN1AFQyPEdzCGRl+z3FKN2oV2e5pgENQ58nYM3aUlqg3ONVUKjJ2Wa2SD4nzbe80nOKX2aHd6JhIOyiFPS0CJev2iaEMfTEfqS9//3fxvDYHjXx0IACKXyLKWL6C/N1scgk+Knjx+NWr8HibdMv1SPlwpc4zK65q95NO0fKNaaIKkDxWqZsoY5GTepic33gjaPYRFAhsjRTLnRZLyP65j237m52w5N6gJ5wb5mtGINfEFuvmKCUJpGn1NMDp5uoOep+hGHXIdjUqhL+oQnrFZW9fsGBkDF43oKNb7d2JNMdmOxqseim3mxSRk+1SF6FYH+9KKAXJ/DCrdYQhWEoAMKyCVVrovEyTZ+ftRALnn/P5I9GA04vdznNsTpl/5h5OLr5z8R/pvvyC6jFazmXEixmmuE63mMMvydrev0etz23mWZY0CuvL6Gt12wcg248xpj29NRA0pAa+P43nO5w0ooXAk3Hj1Z3S29Dz9Bj0cX29tkFxms8sqNawP8PQDHMfbrKyZrmWtVgfH2XmrHV2aWStn438ENi80fySG9gJajXdRX6IeAYTmCZi/LVu1crxsoTeLFMJb+fnNZBLvUPW4wLxDnT9qoprQ2UlVR3Wg81/BK3QKbbVTPM6UBxdaXlKxB3oKF8GZP0im/SCPC/bV7ohh7NM5bcPt5vD858jNz6nzGqGHR1Gfg/VI2G2eQJLs5xxPrw3f+sCDj8C83i4UEyNfBkFXc+SHk/kNQuGhh2GW77jVIcxtoHaMVJW3TUG/o45CcwL9e1IofK71D5e71dML9aILVfSBcfDc/+dFcJ0VcIrl6B9AZISAPqJMrkUOyFpiY1Ty2Mu01YRoi5Y8yft6ev/kyrnnzGYbJ/nijRJnrUVU55N8nT6pscbs/emLpVc/sq5ufCwYkLxW79pgYjk9apGw379r/ME/qdqu4VNmUajT6dTiBDrlJCBTiXP93HXZP1/ZJy/g/eoL+n71HtknIdYb7yfnl8V84fwe3P/xSh4H9Mfxgbj/paVYR7T/eI15Q940T9VSYYz4ZdIq0AYWrJ6ZWKrGSNxEBQZCTGuSBNqAeGyRNET8sYBw8BvX/fcve2YE8rP0B2KRlDyzpvqZ4AKiDUm9YLSGqKBGob17f2F4Y+/vv2E6I548Kb5L3nXE+KrhCJI1DZRKEU82pUehLZ3/ATCeESZofPXYMfKsCHrHM+gdPUhyhfVsIk8yYXnThF2gxNuLXtdCXlfSwQHLpjKNJN7qEeR05JgQigyPRkLOY7VuIRzYPzjwyUBQdJvms02K4t/U0REMB6LRQDDcQdEMY7IyL2N/lErwlnXHU/W5jr8MXgz8f1MFXY1hsEsGyYiHjPcYxlkL2odS1A0U4AgR5A4A/Szn029YgRa0Fg2PnbAYKGoBZbjmzGjHxDEvnQHw6+KiXPQqu0M1lE81vtnKqHz60LJdAIJXyIWP5w5bl3i+dTnLN2VDLVUrqz2ohCRyJYWUoFW2EUaOTux2zNVh8XA2O55TJGsaPOisGelT2CdU9FFEWMHDIONhcBBDQgvQnugjRcLNjgJVD19s6lyRWO0Sl5CNga3RzzlFl9QgiffJgk/wWLloxNcoSwrSqvet63q3oz2MpAnBLjqkBlkOtoSiLGud5U1sNI7ej0I094rpAhVDaxa/jQYxGBBoHuJlM0ZNh92lPqZbk5BeNB8js6bG8jEekDV1sCAwHoGs8Nb27/zPagzouvoreQ6cjBx2MnLYycitcDLWcYGg1VZ2MlZfYetkPYCd18hJDP3QtYSli/2JsRUDVGH+LeU8dJoys2ZJHOoOqr64MckFZImzWyys0XjAaKt1eQLBZCjsi2esEWC/dWbsT8ynfYGwEhGtPsZvFmhzLS84uYASDwcCbo/T6lNMIm02O6ySWTFjG50PjaWA8VjqKBlzLnaJc1lVHDtN+BXxisLmIuOj73vPl35Ac9+7VEZlwcgsQD9vGPPMu6b30DPXlzFebMswXuxoqhgjZcauRAcGuMfswlABDiPBd/Qbwy9eNOYVWgmU3sT2MjqB3vdRNoPWO1Rc7cFvbKmgKwK8CVeGVfQSWEULwYICYrWjVWoxgKu8hswKYgEe/EsADE0nHupNvPjlhx8EqEWnQu8PlB52YsjFsp5VFes5Ugp+OIy+Vcc1Qe/TQelQIZwxrP9TBfyuEOB3ZRnwO/3uv9HnIGoD/8aHSCQ2fgv7Vtqn8W8s/h79Bsmn32vKofF0UFupIqvH2oAjr1BTh+SsWp5lbDiMAHu9WFLC2hzTA2lwDDzie87yPoFLrTrwh0N4MIA+QQDN8Lcv/vgyff7SpdK4kSKRhtcoU27xu8z6Dy5B8AwaB4bYTtA7rj1WGQd4d7QvXjRNoPZYbuW7P4XfnaM6qaINuAl+cbYWKlHY1bztNZzWCKmwVpseas7YwHZrTi69pualNSgMh97xOy+9/+8vlc78ffkd6dzik8zEIrP4HNMPNI3H8bRpAv3mBKBj4vFKaIUapEqsi+FfL/rhFbbCeH1MzXteK+xg3y7uwMnjOybQnrWDJCsiNbHY1watfesRaU6iph247CLaZvN9jqfrmvyRGI/ZfQ2L2vlIEvSCp02Upy15E8iXjJA3oo8wkI+IEyUzBlkjILHFr9sYsEEF8Qmke3VBgYNyUYSEvi3UrChS73FFh759of8ltrEW7Q4SNx5P3MgLrUo2fevkW5O7N/QGAgJ/YyI+ju5xfrOPfakU7Y9q9V6LhXYJwVBXeqA/rUVCgkBbAEMjMrQ086ehznS6J3N+9KZbTu7fOzoYCYfVgeE795+85abR85l0D7rNnH4zsTGbzmwbyk5PjvT0+mS62duX2jUymx0a7Mum091vkvXzKMhNbEZooz+P9fadv1++rlhYV7qt8xi+DmBbHfpz4wSmn7VVWbPEpc+SzGo0SSZqBf8gBqs3DUcXc6bc6asEl8KKnvUCfpZI1+l6JkviBHDcGoMI0qUW3GRLSH3ul3dVV9fgfUhpZBcuffvML324vQa12xYKRg9qN6D2m3/5HZy7YePnzLYaADzBxzp8tMLxUuovfvks7sPycw4WMrMFfHTiowjHIjquLBYGVVDQA6qa6yClA5bKRittBBAaG+8QBefyVFaeZgxGglFz/e1lvmm0tlwBmW5TDaClIiK00j/6Pf2v16wGrfQdweF311msFj/rYb9sfPrq9odPG7iIOpZtagr6xrgevhIviuetfcl+g6/TS35mfB3Gfg/sS0JrtJ4KopZdJIKw0KjbPKFgzXyoXahBXC0EU70WTzVWBPlCM7BxxDIiEFkH0H5CTTvJgQgh3XzOIjVTOiatbsaglvn52pgEVKBMdDl4oneDnXYPyT5/j7boeef3zExmM+mXzkC2+fDwY09sG3qAHmYukIzz0rnSRT3bXI1MTtDMhdK7pV9Dljltve/48ftK506froo7w9+9tjIOL+PrDkzfgM/zD9gWfUGnSINdI7wdx9/wKhiTMT3++9tPVOp4caSOl12+AmELtHzl0reFt/+sQq4mPs/wBbMVUaaJLxisVy5963u/7i3DxNeYoVY3OlY7WE01Zk6vQEcBthG6tC8nFCIGWCBsB6qXIWqh24KsnaEt9PvfoT94qbRgFbxmJ2/x+ksvQCyZ4b5AetyXSbdOTF07Cn5CPX6FpdatoIkopokT6DqH4+Mgzyu0FONRCeOZrzVTpvJOp0snFehC/P8Thm9eGzN85dovma+dPg1m9sXLjz9e9l2aJtBvxfC4nyO/jX5J1aN6DSSqFziCjs2MY2FqSAAe6A21ZdaCd8tzhhMvLL4P32m8gBiM/j1T+Hs0/Bv70PVZ9BtWwKjD32IpI5vUwI/YVLw7AzjGyz8YwJNngRptCwXacQVA3v/l7//Ha6QIE/Aa80LBUAft1DyaIHOtXnAEndeYay0rl3QtjIYM4FOufUz94vuGX1x7l365JBr2n2UC9I/Oni5N31Oyn674T/B7J5Zsvvh6A54X84fvGV80DaOVmqS2UXeQ/I6iBZRFWfVbbOF8t1aQESNtjM2bY7hhQIN4nLwVyWODeCjb0VC2ExCD2nWxWKEJggW6YzHQozIEEAPQAqhCTHUIRReVSVbbVlIYCruyTeqgby4ljhd0B50gLsgUkhDKepMWW2Zfq1HMspxO3DpxqOnpxoOT091pWe5JJ28ePdz+dOjwzsnudM8/iJISumvAas6lU8GwS6Tfsw7cFVIk0S2uDabSOZb5h327xjemgoGLFwPBVO9NY3fuLm7JrA398IehSN+W4i2j6f6QGmWec3tCaqqnlIuqof706Eg2pQJ6+JI9/QIe2xSmkSiWVXKICj+m14nFRGiTkFjXXtdGE09PO7ETKzFcMJZIlG1EvG2jwTdeLlzBxaB2Beg3XlKpIko8UUuQhSkQPKtLKlYw9MBLpWsh0bMcp7R0xvs7v6b1xztbFDt/RkKvNDp4d/fXug/dMJTQJMnwMD1X2jral413NvoMsWv/5GvsjGcHt9LPlrbvnp7J5iKh0kH6VCg0kJ2Zhm9N6TVObqT262uuE4eE5yOxYgN8dQ5WxThEhheG0K4+JMCuPnQjEsiG+EIP1I1ErT0t0NoTR3s95Aj1DEFcfcMa1YJ3AID5KVjAmZ1zzLV09YzhnUCrlryWgSqswGdYVfiKrxC+XBXhK/Ud1m8J8JzfMZQhs6woW3pvnzl6z8f3bsy1BDxiJLo+s533c3ybxcd+t+TLpKKy38qJYruayg2PbO5dq9SLVqtfjib6scAVz/XeODQxNfHA7XvGQOKKDI7M7j85MTU6OtmdixORK5pL5TLbRjZOT050YZHLn45/bPjOgf7BvlwqE3+zEu98XxXeEvGDEX/OfVX+HKESI/KA6T0kn/2/WD4b0f1OT6H2DG7/LGkfLseTjRkl3P65Ze1YzsPtRM4b8ZP2c6g9i+W/B4n89zuSR4B/1ziEOM8Y4p8kEr9VryjaSwoEQeE6pJWSuug36NapGzFXWY+4hm7tX7jvP96soISsXSg0ua/kmxcufevYO9tIczufD6LmZnOhueEKl29ZoJ5pam4Jtq/dUqndtPyabHo39AJ0nL0uoics6SSDlHgSTdRLV8DjymCrCt4Zq+24zIqkpUTbcqv/vftmf5BLRKNqt5thao1WRpQu+Xif1VvD1RgtfB3n8lif5cxOo8VoNHplpT3Slc68svC8nff6JzYhgg2FmiTBUu9RgqqW69Ugm8nBSLT0wCknHwyMJc0hIWRen05Hx9S9rb0bD2zfp2XS2Qa5McOpXGuqQ5UVQaTdtO/wwBhknkmJ+HD2yODYcCLtlz3uzsTQjWS+LqJ532N6BUkvN1MP63Xc9dx/8FoXjeB122WCwO75zVnFiDbrzbCqp/B8QZE4NZbv4LHBzMu+PWf1ps3hwnbUvl0FPbC4HQeebs+i5X0L1HWiSFzedkfRKCawA0ahSKR2wgE3skJBhYJym4k7xunorKzpMrhKDYngrqkO2FNwUJi0hLmiG99ALatZufDL01Rz8Wc/mRkcVqM+Ly2IXl84HE7tVyPoqsEXT4yNHt29cyzKGhmhIxgIrk02DcwGA61uD/qTPYPpVEBx8VaL7A9Fkls6E35Z4OnSmOniOz+SpDXhbHpsIJFuDTb6eWuXGsllbpkcGOrubpHpRl9gSOIyQulV5rDVI4DlLhQMzPb1didGXB76QdbtAQNPNhySmxGfEUQl2JOYxDkuSI9/wJik/NTPKQyFW6R4B66V2azmvTjICtIHYPWUyz1i4dIPwXkiga3v/rdfGIgIwqM7deiOw4nuCEjfeeoXHyyVeYUgXxy4dyn11V+eXyrwymP7GRztcFwe1pc3QX1VfplZDSKvN9YyJhYpLXbBX6XO2JBcSpp5R9WN5RUcoeC420939TJdUL6RJfqMS8F1Bl6mOaPD6OMsVmNdg5+zl75dGkTPskhG7gXRJfqMycUDFrVue9AfEqT+4WATc+LqtVCqd/0xaY/x0fGxT5I1cADHur6COOsA0k+LgSpkAAuQP4fI34W26m2Y5iOQ18AXNiBiBqFnkAz4PzM/+AwecBca1voFJNFeyfctzJlr+5zhvIufc7vqnZA+NJeBlrlN+JiFYxHdqqpEg/4CBi6bzGeS+U1J6llzrbu+L5vZtDRwteZa1/I2YqCMEHk+v8EB/t8mEjlJFbhOJIFRTZFlElgCi5NKSxv8p9DuZaLYEsgFNm4mYjpckV7ZPUhiRA4Eg33JW4f3lBaYd0onZXOjrdHhNtLpeFcyGBW9ud70rZMHD9w83dPb1vK8y7M1lR4YXZ8MBtA68XoD8lqhlUsP9+9RZPqHB8fGN6XWRwJ0//EH0ZZY+sd4KpMazI1Nzv59b7o9QLcoPb2TY4eH07kJn49u8EYj2eTF/lxKiwpBu7guPDvUj9YH3tvQ3rOLOkQVh2AW02THkWCnacEzOr9WHZJsGHO+HLWM5jSJ5jTJ5wM4rICFamKFAOJdAez1CKxFvOtGkGXVNIzk5hz4Ddc6SGZfi1D0OZqWj228qjb7Csc7ETbQzuEq8yDd+rMaMil+yFNQlzIazMTXqH6vW/D6OrWdo3sevn02e6/aP7jn3sOBYLL78Z251lwgmAgFZEGgM72f609oaNfwNN3B98i55ODQxP5dI11avZcOJqORQIubNzMsGOy1sNbbGQ8G3J5wZPqmflkZG+huUQTBdoIxmoy81SMqcmRSjXBWn7deUHaLXb5mL89Dbe3kRqgfXnrUOITWzhRg5gFaTMEN28MteFhb0VC28lCrDqqVgPg6rSODvfD9bZW8krqFQkP9lby0cOnd7heukOZdfH7HQmFNw5X8uoVL4Qe+7yvruhZzHeJJese6/Bp+bu2adWgpdcAR/dnczl070JpC3arWFOpSxZM6kkXUCZTkjVazpU5qWLO2Y92OnbtW4IZ91C281FpBLHV7MDhDQehD/yaEQv1GbIWukAGSJeItbAvAWbMK1GpdmvGKyFn+T6/dRBzNeLUxVahhLUvoYc/55Gi0P7Jb23/W6LJK5jArs6WoQXli5+DujtSGSItf9scTyfBI3Ddo9kVDDT7ZbHRyNiNvPMZaWRtjNDJsg0cVRsIDxsneNrRWZdntovdODE+MDE+m7kjc9kANY2AevP+R7TtnNwxO9d88MtjbHqj3WsyitdbDWOrRTpmJBpqFWNBt9rEJs2iRWBtvFFyy1yOa3Va7m7OLkg/tYsQmUo5BT1HPUcUorr22PPQ8SNShJhX75KI4+nxddfT5Oh7QhXD0eXqV6PPUnxx9nlqKPk+V53QdiT6nCsFoddR51x+POlf+D4LLn/7Twsiv3mec/sMR4wbqMcT/4qaXKRFpBZ3UJKlzN+8jOxnOhe0gPLDNxUFKbJsue8fL2IT5NoxMCAFKwRgefUhyDbjQcHAG2EraXLqzwQkWN10q4xkdRLmcMJEos7KA3FYFwMA+9vYvjoxPdMWRfPXrn8+Ojx72N102ujwtwXA0nuqKBhS3aFr8EaMwHlFWZjakZwIB0cn8iD5EH1GjH5t84MQLpeOlL6qR5+8/9V+fvGN/OutGgprUl94/+9fHn7hzticTjWZ6b5/GNIf1FiQr1VM9VNGuW4ax0ARxoRjv3YM9yEUPTiHyQJEbQMgvsHb0jXU4ZNKSJCVvdGenp2prjDsepX87MtK7PhqZTOeGpieyKTXoEgwXTy3K+/fIvsjhrBKk3WIsvCU7xQyTnD2Smyew1Af4HQ+i6xHEO6N0GUGyWY5CHXTMR2uR1IHU/1q+jOYgxaAwChRAwdFQtp/ZKhIejRZAtBHJceGFS//wm7ffJhKerAeWYf3Iv1CgaAyxShtkxEL1bmidwOVcCz4q+NiKjwHcrftLPw9jThtFnDYaRu0RfOzARxUf18GxiI7LmGxeTeYjaJ9MFtEvVN1pxVClCto5kwSV3d+ihNdG1rUGOtSVqOwCmC79EOIGPaLXd1nS62pB+AlhYybR1kDK52gFo+D10hUlAqn0BkSSuq0T/LIH6YVAnPd56j2Il1oajArvMjfWhDl3em0oqDT7A/SFb/6TA6lqDsZqYaV6xEM/pAwv7j4ZCcoWC+Km97Gg6LOMUwgFcn1TV+9nMlHOxyXZtQF7KsV7ahZfwPN9GvHBexBNRqlbqWIENOMmbb6O8L76GCluwWu4wHSskqa5DqdpQrJee6wgoCUJBXDsBgdU88oLjkIQJ8rUQcDvOlyGu52Ufl6yEGH8SXzZxIBedF1sEkRqOE4/w1llSQ3F7xkcmDeyrkYnj9SboBTQkG4lmVmjMd4/sDs7KyMd56eLIyPRSNDPc+NjZ5m7rn0/Lvhkq9F4r9HC8pzX1yxpM2q0PVjy4u9GyosxjtfiFFWsxzYxvA4toLpI2L8JiFoNhLC/HXp7qELYDLGL074rYACv910h5TDnEF3Ul2P77CxesERfKGt5WrUNSJn8e3rbo5uynGjLe3irrMQTA8mZC8bktVufufA33xhNDDWEk5GJvXcc2rt/78gheOfLpceNClqbx6ifUcV2WI9BxD+kxjUxiOL8LOaYA4B9OkAhfbcL8ZEuXDSiKwRB4109tWFIfbuT1OIDyede8nW//fYLj5N9624+f9dCYdhzJb9zYW7H8E60kEbgiG7Mffruu9CKQo1V62YkWUTNsH09M7zjrk/fPbKzYudYfo03Mx4ElGA72sMGHLDYunAY+J2OYr354yC+Tgj5GUQ37UEc/FgltKwEKY0T+YUcw6A1LImtrGdl2XBc3w9a/HS5BnZlFoJIHlom1VT9d9nn7Ut9fPrk6CbEUb0+ut4XiGjRLOM0q+aQK2SOWyRmkvlRrnVACaUjQcXjocFkOzg8OhkaSGa0eCgU8ctqPHmEnfBoiYjsN5vtfB1nOWZlnVjkEfn2SCia9vf1+4LxiOJHIs/MwGCuL6WqTtbJBxHnTWbCUa/M85ZaBgSgk+YaJAR6eK+nVQn3tocgAYX9vNXCuzyNvmBgJg5tXs7HiGa+WeoI54JNvkBI8PJJvq4VC0ROv1d0eWqtNpYX6jg/UnriHeV8LOMQ2gdG8PrwoOuzaH1sov4/qhiD9dHQjPeBJuARjRpOHahFS4bOZ9V892sAupsPYVMxxAEUbW0VLI3NhMrM3134GqEyE5+vWSj02a/k0wuXej7123fJ1hBDa6sTNo0WtDWoC5csYwuvYzbfx8/19qUBew6ORXSsIsFepI6aatTOdO/GvqqaDagpGlvWWGHKLlCYgqlkpUA6Voeg9kx1QQZPFUeKO5aKUCtd5UhJPQST9XACJ/Ntgt/w6itm1sZxgsuDhGBBjCihVEh1ea2W0v1GI2u2W53Pe6z2WraW1SRfGxuoqzOceJRFbIwxMqcWp5RWPyeYWHRxL2tmOd6rhINbmZf6x86f3TZxaKZ/amhm//CfHz06zDBIU2JMuP404t+jxmEKcLSQdIURBFWyN1MqFIyq1QWqLZh7B9EsNcfyQZI5CYkc/ZDZRpOMjISj4KkF1q16UENLMt/jKDqaSUEsp+M6azZbjdF6nbGrbN5aDib8RKOcSO8cu3P3zRPZTHswvSFxbjqxXg0H5aDbyDBykxIKh9RgVgsHAxwfCYWT3Vv6VQh+50pjhnePjc9k+lsCodBA/yf3PnT42/3ZHUgFELyyV2y3hC2lMeapkNsriLWWRimV7B8Z3/3fEkm/3+uLav25WxBd50unjSEk949TL1JFK7B8L4heN2HmCaODhmbrkm44QWj31z/91hMV1OihhUKH+0o+ujCndkRB1IAjujF3w84hKOWLjzvgWEQdqkh1XbKImqtq+tZ2RId27FTX3TBcJV+s0kgSUYOgAWwEtc5RdAq9yRWKHczMstqmwZYVuh26W8UAMcRuTbAT2F95njroMvPLW8xeKRhKpPsHZ3KfnJD93gOcIrbKLSElqYVDfp+X41lWlILhE5P+pC8dTfhkCxJVWBt7jK+1MEg0CbSFO4RhcewTQ70pv0y/rA3ltvb35VBPvxRpkPx3CT7BJZotSHcI+ZPa+nQsEe8Px/0tCa/ZZRaalbZIzh/w7OAtkjnJCLZ61uy3SnJI9FhZFysGfPHo0AisgUnEq15BvGottYUa1m1l64iGAVhwhY0mQJag8/3VtrL1uq1sK/y7HuIoXTi7dx1EBTUlMRCru2oT8sgutNuQjI02xfVRxqklm4keqF2m/MlwZGBodu9nGfV0AyuZLS6rWWIDQqNLsljTG9KTM4eOTk5vyDT6v/nVhwZ6U4EQL9AuXnBx8sR4ZkCL+5sY6wO37+vLyTJ9imEYY1KOJtLdvQP7X+jLBoJ0azA7MLPn3u//9wYpGs/kdmUfiCUjctLtVbWhYaqif/jQOHVT2/X8r9Y2bYmTQ2XxmAlpuJ0gTqTU/LrXCCtfV2HlG7D31FUeolpHnl7BROUKE0104TzXLs1Vth2VC9vEHUqZdz5a5p3M90snLRYXJ4mSxWJrMPusEsNxdbIQECz+mm60k3H8rfEGf9gcqhOqueao6pEgA5qm0ZgcNxhwSozV2hOJbmJeKjNKmviG0Ld3UBupYhAohCV2OCzhuglyzBIeDkBD+RF1QOIaB4KtO5n3O/KeZNnReX2RbK2qDl41TZybP3FiIBEHLF0L6+LcEv+8xcc7RdZC+/ypzNjUkTtHhjckG3z0OeYri594+JF6TzIxOnY4tTM61ZvJNYmD4eHx+Ej2gT0HBkYCIbpeSsRHxoDuo4j3P24cobqozdQRqrgOduaIBjG0wP4TMfikPlyy10fijAFXKod9uzxJ5OV5XDJRjM13EN9uAjtOkogBBnAPXMdXhSznGnMyWUh2oKHwoWXSJwINBKoq9FZshDhszPFRrk+H4iCMhm6thi5wRSVpZvvg7WI2ojXKHE8PDX/F5WkNJtNbhvvSkbAkBQKZ9NTogTMHd473pHLMPXTGxgmIIbUNBIKM/Ilbph6Ja84TfCC0Pp0d3Pb6bbNmZtPugWEt4fUFlIHc7pl7vnrHbH+2TWFLe+nHWCWwKfPD0g+s9OVbto+i/cU3MHQS1kiyNG48hfbTRtpEFTmsEtg0bU7kDBzSxWGr8OFwQo6AS8PmkLj3xwrZHGx8XlzIc3zeuXDpO3/z1jnS6sZFd+usuB6Y3rkuL/JzVtHmDBdEm7nixli67eTn7E4O3XZy+Lb9uttC5bYbXbgd1bfRw12Vh6PbLrhNbbTUWcGv4RRd7mUFrlZrLrs79IBi+M+JYXQAScdAtpekNNCkKQFZUXxrz9KB50sH6PnnS2dLX3mefv2bCa2jU/YaE1YbxzfJ60KjpR8yDYv9115nHlvca0jSY3t6ErQdxnwc0fEBU4oKU9NUsRWoWK7ooFysWNeKK99Zy7UWPVpeUfVwraogBYWG2Nz5FtJgi+VbeAizgyBs2MkjK4MUPOj0+hCF4FLxwfGzHIQ1JwbO5FIJpYUXnpCkuDo5ceDMgZvGo0mPRD/DHF88OpVMtQc5u8H43avreT4Q6Bm4gblv8Z6jY6NJzeejS7P0o40+LQVLFvxliA89jujrVkDnhSym/FYNimjDig3FitIEfKskQ/m/mXIMPKxUBw5Jm1fI1yk85kx9iAg/DgFqDiTSmmsnQIlSHIUdI+jfdUJh/QoRwbPC0KtXloS4ZJF4jpfFgVbARlZytGXJQ1g+dkmt4Y3Znf5EUPF6zRaLxQG21jAaoxoL/ReSW+wJKEknYtN0nblBQuf+kU29a0NukYYaIN2JXESNNAYdHqvR6ubbfWvVjlwCqU+ihzHuvWXf5pF40nmCW4uW7Jax/pGRwWhS8tFxNR7P9ly9OnQU6VDJeHQwM9M/1t+XDoccJ4Tu+Mjgnqnbj8zuzmaCAVoUZTUQ7052BVRZFFuVXHb3bHUswdFyLAE1+9OqWALc/uCydoJb8V4Ft6Icw0D6v1eJPRjR8+TxfOP2R0h7pBr7ckUtLEQfFOp/0pRDe/QxqpgE+vBqpO7PmnJhs3IOueajy4AWaLNO4kgFSB1fnwQaWm9A6yW5Hk6TkCKznscFGSEGCtyEHSDy2AK4sE4SMfUAZKcV2iDrzEbK7DhwZnmiAgkJouN1kPOYRmArTNPlKrloARkSpYuDXJeVHQyHdvf07/AIgtAWiqZycrsi+xs4726vEmgP+/2h9lv6x3Ojz+Nc9eddDM8wdazHu6s/+Yk3RzZl1LjLS2P5nus4oEleLb7vO4eTCd7qWQwbL+BxxLG7kENF37KEQ4DGEeMOmybQbj9GxhFiPItmAyn9Nd8kJ81o8Jpg8Prwxi+jwWuKFWUc5Ss3I2EnA8KOHIL6K1Ait8kB8PweJCjyyRVQwPBfDZGdy5INGjv39eX9QOQpD92BZn82s3vm1J5HUtG1gYbzXFwJRNWe4XSmNRyqoS+UxtBC7YikMqO90aSsenziGY8aPLx95NaTs3uyGaWZuXD65LGJ8UgkHg1lEv29kQm5xSU2yfHev/r0Q4d3jmR6kaDta1bDic5Mcjgzi2RwLTo5cfyeCl4CjlXsWjWGdNVaagQrzvBD3C9C6vB9+C7UhqQS1AD1LOHehfVopDurRCyngZiq5l0DnU5beN6l+zm3qfkAoVoxBvQJ6bU+wq11D3bvP101Varr8QumQhDK1q9ZQILLnMA7kdq1hp9rXxNEqha6rPKuoTbsVOGF9jUkdYYXnEFyXjYErAcbHcivrrgbh24taVIJp+zQJxZHdCBxkHYohiorE7C+wHUyoCIxLM+IPo/AOXmb1Wp0huh/C018QYuj3aJeiqonRn8y77NwVqfoFBVfJByXOY+B6VblQIPEcxzn9wblaBSst2bWw2vqwPBs5MdMcPFyXENC/djOXDYZ7zE+Vxp9/OTRiemoFpStVsb4VYcg+9VwOrUm3OwXeBrNSz+p2Uk1oHn6OFV0AyehNFB2MROB3EGD5IbQv7XojOy1IB524E2ngWwzTAwAcjw0lPCGYD/YiNhY3ksSZO1kqlQ9YpXkeCwfNUVGjasMU//X6YELk8vGpfTr0jP07/ctH4ndptziZSaz/POZI4snTq38YthbIc4feGcLtYcqyvDFLm05y/TKFZapqHn5NQBNBZbZLMOqbwaWKTdjBgAssxkLEJhlou8tuJsRvdgQw7R5HR/NInXP20ezwuf/ANNbfJmRqxgc4Jegb3oC87dipWZYOaf0Gdz+dxjH5esYS5jY81U0BnWg5wAeH4CMGJZmPW9R9dJ7ZVXHAuGy6LSWBCHXoK+1LZtSCEU+fZnxXC499LQpd3XC+OQHl0pj9IXrcyv0GmSP4BpkzZBHhCOS3VUlOedNzVSlCCfO8iu4yRy4Med1Q/l4N1/wguKFXqWlKtWiXIOsvAQDcrmKlXzW8JXFEJ29d3ymO+3304i9Z8amD5WKtHZuaHh05FzpVVPudGl3g1/t3NI/nxtYhySIxxLJo4dTSfr6nJDyvgLXsK+g7zKW9uIcIyflBzxSB3yXiJRlCuOgiBgHxUlwUCz6JoNDoJyvASoSLCaBL7jQqrGSqktW7D+BUsmwhvQIqZ6bfvvFahNpo/dKvmHhUu+n/uN+YiK1dBRMNWZ0y1TweK5AUE++hp+rrbEgBoiOVe7kp001tfUNjeWqG+jK4qlc6xYlwYkZYN4FYW1QS1irZn8E75iG6qL6gBuPhGSlQeElPstMPnXm2mNn6RTjLf0wKjo9bm+959FEsnfH3pF7jtKlq8OL/0w/VtrLdBjrSyce27WvfzwevS6HQ1+ziH6oJOBHYmpROjQNJ2jMsY5GX6sHqebdal59Lc9XtFQhVkjpMWXrfv4tvEGwkJGAhqXGegWi2C91/+Ln75Mxa0R3vOiOzwHADAvUnMnsbdJHha0xe8uQDJV9oYZyCHO8M7AeR2Ni7IWgQXO6l9SGyjBpeGhoxVDTwjFl7bbDoAQNdFIR/fzLTz3C+XmZD/i9X/f6A+jMIz568SVPg1+iN/zdvzsY0SaydsvXWZfRZRUZx/vM95Tm6Br6h6V7guv9zbwLreybF7/BOkSH3BTupI+XgonWUP2iyhwxsiYjYzAsnmWmwORhYo2LJ9D4ZRFfOGAap24CXWqkDPwbA5KUYQcWR2I2jPtD5yegvDg4jPINEGPUzb5dbOgGQm4QkfTzMZx0Wwu2cnoAFAtEJZlkXhaKoTXdxCJcBUYILDDY2Ram45XKckvgWyR4BGxoK60B7uXXZdEo+w00WEio7x0a7Okd8Xjo51/p758fGxeFNvmT6aH16WDIF7A+pUTUbGbn2O2zY8PZlOx3SU1KPNKfSScjYcmryNnemal7Do+NZ/rbI3T/UKojLgdFj1PIqNHE0YMP9/TuiXS0e6Vm0dMkq2k5Pd6djoTRj0meWCTbN5hRk3KgUeLNXikUiqd6Rof7U3HZTwOccRJjheq5JYjXzei0a3VpZMfJWxDZuqvZrI2sfbCpeHRvufVnddUJGaLpiinvWjBQhVoRKkbVWkRXGUGlDNKOyQ2WZmeis6uXps9eBAyYWsbx5gWGYcyQK3Lt69nmcETRjAc/uGTYl/BxCev41UeX4XDSebJnAMYXem+8x+B9s0B8oQXKg77DhjE1rRqSD+R6mw08w6RupIK/q4VgLLcQxGiAUAcgjXkP4qDoG1vJN758xxufJxytns9LC3kPD9UWO0+88alyUfR83QLYTXgs03G8DXEydKziZPN1HO+WCB+rOi8noSxp8XosJhkjhdZxoxTH+ctqIBQKhOXItZdLr4ccvF+y8Fa69GO0VTaauRY+aUNiRtFilTxr5Ax9tDSS9IjNUo21dlFmTjAWxmg21i6ewTbUD0tI3p1EY9VOfYlEJhcomPNAOZoDy7r1MEohNe8m1TXX6MLswf/4y2XCbD04urxVwqyXn5O89dcJs6hNF2b10tAgzFaqQusDUbOqEKssce+y1MrwNlZgvH7EsN28xHk5b4p5/bnSfWGPKHo9ih8paomNMi+xXzUydeZGbzQ4mfzS4Hfpn3xwyfhk6an8vUfumNjS2x7ikNyi68QfmXMVXsJ0rMqLOvt/nRd11nDyhcX3cF7Uk1cnrsuLKtedwb/ZRl2Xf4R+E8tPmOYvk4xhMO7pwqIRYgAUtUzD3/3Jm0cqzv+Wctwys3Bp/c9/Mkf2GCO6g/ZrmjEXGBMObIF92VRjdEJR0jnZz0Cx4RbzXAucFdF11fSaACkc7diMqcYvt1TcQBSNuPpSS2V7aoAEZheEVRD/hFZLV+heWYYTG9MD/sT/SX+dnnpl8VdBNRyOdqaz/paIKyQowkioJawqPQ0+L5sMojXQyPzr1f8Y3JYLhHmRNbNWM297yMsJtKvBF7LcvhXGUc/TQnLRgVVzjaAu0TNY/uwt5xqS7NePlD91oXPOUmM0Y0l0hfgJ3O7YAlN3+al5In1enVh8BkmfNDWFfjuKfquJ+hZV5Mt5TXmbhnQVHoRM7NrzV/+YA2cy4dCOZjK7tvALUzCJxrwVB58bCw4QFDzAq+YEjwMyZ/FRxEcXPrrhWETnVd49dxJJUSSXltpYW2d1iB7BWWVRpZ+pW9aCRTAH+Ba81V6FXhrNGP5o4qDTZ3Xqm0c/qUY/HkgMXb7Mt9dbM4Kc09RX9t5m4JmuxTeP7K+xGq125vUPLtE/MrIsYzeiCZyaxHMyjsbpIJ4TPaZrSeEjFG/CefLWskE1SgyqAMNeQwQutBDN6KqOSKsr1QPNMX6Orj9Le8+iCdps/Dv4/weXiM9pDNHDKzj3dGrZbxdq6mJVv57nVIyBuMyi+1EvkK/jC1xdBXHBcd3rwOiNnaWZszT1lw8+uPRSVzcvvgx6i44ZcFzXU3ZSRecyPYWCQsnNzkqhZKSniERPYWJF0Q0ykkgt6SlWXU8pNLsdQqHOSiAFwIJAxJsVBeCxdKQw3PHjN00nM41+P1JWdoGycvnQk4NDIzu/sQ9phovfbfBFE9myrmK8cPWdZOrokUSCJpiue4kcTfGURPnA8w/0n2/QSH0EA7YbIg0floE+4nS+Ca8EB9m3HcQ6biYjasaFZMD6AgKKHz5GcuiAHBpW66sK2QfJV8gK0Oneiz3vHz3m96cz49MHBgbPDw6Vnsky5y6A5j6zZ24itwVcMKd60sd+t3gCODa1TE90otXbrXMKUX/1eUPTUpFqsnxF8tIiKeNgJcu3POt/QC28/Ed0QjTMq6uEmHaxbXgCcbIxqri+LEu36zv8vFNY347e0glvuVHNO17LizhEuOjADlOMG9wHIykAbBJFIxna6YCAuHqh4G9eKUGTLVuOy+UkwHLQ9SpetDKbHzvDBaQwlMgbzaQiYZfHBHq5eWT4G+l10YAS58572uV0qn/gtlMzuzPZJllW+rJ7Zv9semQg3RtQ6elMIKeG5UbJ7+tN3zh150NvHT5Ei25Znoj0JnOJTq3eG4mMTxw7efrcPccnJqNasz+e7BmG+YOxeQyNjY+KUAf0SFG8iFr0SSQ59mtgJTU6a8qzScxLvop5yYdXEFL/wRcPeboQPwRBviq45YmdJd/mKDgx7LKhETU0lUmyAXumnOLKCoMOmicj6tRz78fOftX6YvHv9uymJSmq9Q9O3ZTLRlW06X2V3tQVv3N2fYLuiu/f19mF6OEiHae1ixdKT1649/j4ZEQNh24YPHrgzxfPMBdKv/rS/fefpCVa+MJ9930BjYGmyzFuSqE+qUsyglbkDWQY5l1+ii8rW61q3vwaQM5jERgEZQoLypDD5iZnHh7XBWgmIZUBKBMAQCA0jkvwu4iu3kJKh2j0cnQPDeQiha5ATCOtvVmjH5rqyYwJQqM/1T0xfZB+6/I7pS97ebviTydGaan0m9L3mDFeCdyRSm+c3JiJRSXvB5eY3sUXDK9Eoh0tfo9Iv16pYY1jw7J47d6PrkdNP0I7/sdoliKm3ixxYY1ijD04c0LRt4IA3z6Jl/AG9u35VoKYs4EHAy8Op7+Z7MK1X1x4tiIb1y8U7KYrSIsnyRVQg8WKjzZ85OBoQgrFnFiPpOby39bNueByzg3HIvqzqr3ZirO+uGQR3YRrF2zRZov1/2/vbcDbOK4Ewa7uRrMJgmCj0WATbIJgs9UEWxAIgU0IhCCQEkRRFEUzDCUziqwwiiTTsvyjkRVZSbQeLUfjc7yOxpGlJLbGcTyx4vHofB6AYpyM4iRKHJ/j8+g8Po/jzXo8Po8n38YZO+NLfN5IIqGtV9X4ISXbmZvbvd1vjyAa/V9Vr1699+rV+2lobKr3BqqWQuvgpB/OKoHF/hUjq3BvLOuBtTUf5vNMYfMAjOsFAfocpyT4p4Frqz9Vo9kvXRm5ekGGwCqbqXvw6Mzt2n1C3aT3Sdl6JRYI3hban9qWyHR3tRuK6hH5YIsRi67Lbnpt9x50+A/fueW6Laszhv5DRY109iQzg6l0p9moIL9kmXbPmkyOuJ6zd+RPHp3c0buyhZeEWpjm8OzDvJeX62SPVwuaETszaN+RjSYMXVWmjxQvFn93ZLpdHxs+cih+cHCsMwqZ7ZZFPj68/7aRQTvmlwNyzB7cgHkT5DNL82ksWyeZtaW4BLOGE/8NnCvWEo40uyJJkputcEzUBgieQL6/Fd2wxLkM4wgEae8D9QQE44Cg432Q50/2wZhI4t18czq/wlfAnZrOr3UiR5Q5QoBqoWsCi/QMlEUsUEljwlsJjmbo30UvXLN+JJnWdZ/abKxbke5KhvRGuVW3k6MTY8UXkJKzY+Gwx+uVWo2uVK74O8T02xaeVNk9nyv+hk8Td2t7PG3Eg+G2OlEAV864OXjNyqwZ8St3ukVVMSNWMmwGYIl02i0G5Gx0s2lCbCsRw0/D8KuKR8P+HvFoaLR5JHL++T/j00fnNsNYVYu7+YP4XY2MDlpxEh9fBb1lAxa/FBKNSMGMKh/onqlnGcfEoR2mrrMBSqUD1Ne/gciFZ+SGJpHEy4dM8QZoxxspYWryFerV9EI1IuFo1ZrEkonu7Yo/LGoezRNyy3721hOn5n7xZyiGLhWfDsnBprCkHA3HhprG4rtW3zN0B27J/KtEmWhy4Re3T2/bF+ut5CYndGmorEt8Hre1DwUdiUJfjufmAm7XmZqSLrGf2HY7s8sEpj5S9+zykloRnHpaHKee1ZQy/W9v/p3jFiZIeY6kG3KfO5v0/F03PdtC9BohKd96rnQvCb3jEiBaLp4FiqCdPbvC+9r3yaWgdEYLtmAKJVbra2fw7fCDL1WpPp7kXKI7qLWWZxALj2maKVjF6kvnE74CyqbThRYwYGuDDKYhH7gzFASqzjSyC9SZ6pXqzH4E6kxkcO140IA2s12AqOLtHQblNXHEoTHdGzJemTkRbI8KWkBtfEBTFE1YZjQdP/MfBpaisb8qsiLPiiLvbRACwgN8QPA28BKP3zbHbo/4zRRa+44VT9cEJUlE/2txpdsrBYWVceud4vd3d2Emywtg2saKnFjU0esiW8viExw3Pwf9ezfEcudHmXHm39H8L2DcCguMy4CmhKkfUUDZuKxqjXFTPN/5s9kI7eAI1VUN4M5vcTLEz7SQnHotoPLcDKawnRSdW3xnajOrNpJ4D44WdIBqQQuZVfg3TC3Zlyf6q9y7y9QkWaIlHQt1oGWncXpuAV2q2NLe/bBHVTv0dHTsziMRM71y/Wg6tza9OjV4cNrMWlZEUYVvBvfsfmbPyOjKVEhDiaiRjCYydrrTag5qYTv1+KHt4yPplNn1VldUCzXKDe7JramoFWgU3ehugVflQXt4QhR8khaKBu7OZlBAiZhJe3V6QtcUqYYVFDWsL+/KDKX6rWgCUvslMuBXCbkA8PjSyvpOrwb6TjDK8eCh1UJoE0+yIOV56iDSTNIiFUKOqdR1r79BJ9t1Xa6851xBC1/g883n2EJdM6Tv8mgLFHuBGppUmmo8MXhXgLyTRN99gmd59N5PHmc5ni0KfHo+nx3z2vVeU+B2XXqWPS6E60TLrS6RQ3P3O7HNS3kM0N+QuP7feI/K+D+HfE+4TSHmyw51ZPyg+2RLus8WTqnH+NSyYA4VotMRLL0qVKHgxyfqu2HiRGjGxtcSlDooUj5wLu+XwJm951Ov2ou0nt5zzJk6r0xEDVTeu6pq01lpoN7meGD+fDbVaXWG45Y1+/Sb8Wg4hKbPF59RFV1Omg18uhgRRVVabmWRp/j9wWhYmX8CFd2CyAl8MYLbLeCxFMTtXsI8QGPt0HaTVVPDhpV7iA+OeFjdYksetCaZB+O2kogwoNIcef+LRGzzQbyoc65CY+MFL9BDr3RG8vowAcTkTg02YnKHD6vIHT5HVJpeSQ1SlaZX8jXS/TIA1GR3tVh0pUITBozABkRPUG8MNmIBxK95Y+yz3ykeiYU8ckhdEk5EBxVdEqYxFVHUuDU2dOvJ7WjdpWe5x4tnn8ru2DS4PKoqPEtxYQrjwhSxI36d6nZnmMZ28HlgAcMVjOExMn1ZRqnJku78Mro6rneDDA+6iC4Klx+/8Q61WzC6+PySc96Cy7jgApVhduydb9EBoOMB0H6uoIQxwHznzv74H9++RPgDK53hWBfmGNkW54xPOuP3KRiE+HwVCPG56vU+zuXz60tK630sHCoLorBDcC2DeCUR1PI3hjHlUhrVymIWcRBdkVzRk8RjzEAkP3II+aYuPiezfg/v5kSe93hqWPm5d76GyXTxza8Vf44HYnr+cL8wltSEVENC0xPJoJhlp/EofNl2W3VSWAorc0Pck3pjVtIa7PkohfUs5P4iOQFzzsypxqEkYJngZhy9RRcNEQpjro6OuTqiCYIZ45Ur1SBnzM6iuW9/u8jjIdCLfnrpWfTronwV/5ZS+Qt10Oy/QAc9y11PigFkwrKWE68mx4/hMjaVbcVSpMxBUiboyYdJmStpxMiy72ee6yZlCo5oJ5REuxnBBbsCeILWViX8MHzT3HPFg9/mHj+KxSPu8UqOeuLLuY3oiAbx8Z2u80wbs5xZzdzMkESg+UZ71qJTtATNakeM5PN19uxSqhVc3Z1vipfMomCVp51IgAXR6u6G5R1QAboT3d0wYe11lumJrdRSsJXyMgvmQ7hXGmXfIutf/FlRtsJ0FmycdB8lDjrYGu7LTmy95YG3f4GnP6mt2258YP/Ylky2ve0pMBlM2CsH4omI0Yi+3t9tDzaSjOj4bB8bnt6xfWh9Z1RE08XDcvGt4tyRnZMjA/hEcQqddJvW2sFdO3/787GhlN2kidwolqfs+Oj8N91aaPJjw3v3bRiP2sGgG+AJ+uVbCDyvI/2Xx7L0owRnr6noMmm+3hmGeOwy7pKRqsv+MDX3bC0VoK/UdOdn0cXZE6f49Nww9+Tc8Pwv0P2k7JO4Q4u47DbmK8xMoIQ7edmebXUHUMmUTV+s6w4Q1gTaSSBL3vt/lKfUh9LrQvOSC/kWQq0bgFrPNFQTaWbW2+BzTAbQGW8D3a2orVuxaORuJbbxJcNaMIABet2PSM8bvjKh7jg56xZXtJspZYWaGksGZ2fTWtYYNBPp4yfYh9EDxb0hI7Ss3oNlP78HS+x44L4UFBVRqhEfrqbNC3TYDuzJKFqkw+74F+uwpx5Gvm/g/xLouScvPUtp1Tbc70/hshtgBlVVNtVhOz3vdXreqci/Wpdd+Ri+bQ9ffPg/PXzvvZWqOZhB9diHcd1kjBkfo3Yps/7KTNtRZfuqyakOukoisbCYufuJrhK02X6qzRbLVjdlHfZCBTaMU5B0owjNvXl+9x6kBXvSQ2M3FG+cfW5gebzP40lnp5/HlKnYOzzy0GB/2ooqKqaRL3k83Ya5bHJZDNOmPaC/JjBtwTX/NPWHz4dKUbYpdrdiVtDSsKju1HshQfWHEiVNDqHGUiYkH0uUYoa3SE4MfKrCXqDBLjnp4Fbgi3tOPXj+RS2YxO3Y9eCDa7ZpYbcX7b/jQTZ/ChjJiYedZhwONml6tGPbdUUPUH6qyz6P22KRtrTimSjFkKpmOOrschuoRlui7EyiGu0aR6NdaK2usl5V5QVWdFF0fhaJL7wIkN8wtqv4/rsY8OGQx5vJTr+7sMIeT1A1ox0AdcDlOzBPyuA51GrmILWLLc2hLJbGRp31y2mrvoREDhvAEk4BUddBRAmL0l1IgKo7UVZ1Q4RFH8IcwCIRtBYovRN4QoVnpfqHKb3LKq+P0nrf8ZRbDZpGIhkfTdkRU1a44hF0BxuQTctOj3w+N+T9gRyOpHKDY9t3TWwbGFwabW5Zmbp+8u5dm0azqYiOcp5UpLNF83ib1EQ8N/TxI+MDuaXxgNqT2uIZsbNLE0pQC2X7b7n5m3fsvP6a4WXRFi0RzaVIXw9e/if+fgw/g1kD+QaJdqYZwLis4k40Uwe9vpLOR7n25rqqzs8RBDbKCGyQ5O0gzjiBacCVHkj2Wvy7RKcKcNsHvuSF9mX40J/Ocz4IWLBSzssl1K6K/I4/EoVXR0UhXsk86CgYibGyMzUdfOS0O2zYqX87NrJh0E7oYU1L2oPDjwyv74kZIf4xtDkgh3Uj1maNhjVFxpw2HTHaOzsjelgOALIdHt+Wzq409HUDt+wuvrFrx+iwbqD29jXp3dv+bVFmQwe2jeNqKlYiunX80OGxLVtBFwlJ7rbR8YOlI24Ojx8v08R8sRTF1IvlbhBMZhspHOv9jIjhWO/AMUgS78IgkvA0CibzNNM3ScKLB1UdxVF3xYff/sv/sKYcnQWdc4GfTv05mpmngOqdTEWNfse2EzTsHVgcdjTrskLCWmIEHURb7urN/PwFlJ+dK/5kfIV9uPj2dAa9EhrbfPv9xzHfer6Y5LY/FY+h2xxbf6KnAl8C0FOBL4FI+UqSxDc8zwxDrqYNgEkRyIOacL1FI6Oo/RsgJIpKF0wRJ7WdI0k/mBLnIybUwyQnWy0ejLx3fTdkvRx2l5LGDZOkccMkRQZ1+W2j4cEKtZDFtGGQeJOeUSPRfqLp6N8AZ734rOoj0WZIerakHSBp2cCR3l48OH1KOTlbObtpH0tTm1ZMwEjwmSPfgTj0LpbnQ1pwubEysXZLX9qOBdW62lRXYjCqWjSnqakFmzygdRitRKLhHz/y0ENHjphrtEQgFQ4ZQcmryD2xodzNc89lVvaMVXKZ1kbXxjl+JIURuUmV49G+/rH50/zjly9TvSrRATzv2NIeJ/1wDPfPOKGJ2xyaSGOhUu/RAKaJoTZwF3DC1pREY7AdDnXPtBE9bFu45DHQ1olhuDxBFXBMOh+QC5JvoceAI/rWVDvpVhwGUoujbpXM4o5Fo4O57RM7to8Nr7atiOdH3qHc50bStqUHZAEdLk4LktwRsVNj8WTcMINq7Q/dRiSV/dj4rrsnd/WubNHY8CM33dKfxdBXu8xc/2rPlpSNVGV5ZF3/J45sT+fiCTWIvB6tpTOS8gxmIPQAZqmxDddcv5Mp5VLkR7A8THMuQj40yPcuMCNVx4Dnv6V4blH8P1Cc4AbIfdeQ8R7E73kMj/cIk8SjndhOQX4NSiIpNe2kDouom/hoO/6Ls96k6cHd4HWShKyACIOznWWHr06i0HWykAK2ExXFYxd2kqm4h1jZuQohkdiBQty7uloPFnrxtkronamtayWmZrV1nkqyLjx5ToLMCxRXTVZYF/UTCFTFt+VKXh7V7gGYYQdDrXqT5pXrPPVJ9NOesy9qao89PLr1hVNWQ6OaTnStVhPsT3r6rXgw7Pbsvb1HnBZluTs1svkw20IZeioKgtSPiuse3n3LbVoQidNeKRgCkWongSvENMljuKpMB6y6+B24NhFwVSbXjWDYkDcJwEteoSRlnTO5A7akUs0W3z3bRM8JeFJIWBXIrQBeSG1XaISMV3WErVc5AFSBY5H1fxRtO4lGHki+8GIzkbWu/5viLPpFciiWCIWx2LjyzhSdtlcJMOh3RfFAqZ3dCcbJOQ90s4c55kRzbbMdimnZH0Uxk/F8TxXFTBCK2VOmmD2EYvY4FFN3KCaEnKrtAdq4HI9r3VdQSYQby/6Xk0vjX0QZv/17k8H5UfbkFUSPjj+i4yR07/+g+aQc37dF+RjZb/zG0c2Q2Ggw1xos+xCURqeDRVd1I3BmtR/uSUD0M8VvODPcS88STwLEvIHreFA4zdRAPqBKDgYSIItoQxAHPpEL9DIsLsS1QC8D3zfYf5idj7oG0a4iA0kZEPMefreA8aUGsoOQdwOyfJC2B78VUsYAji988Xvsrafmv8mn0Yn51+c2X5kXk1l7+Zmr5cVk1t7FXC2PZjmf5eL7b5+svn+yfD9025vl+w+V79/DXDXvJq7P2avl3WTWPkPzao2iF7nD7D48G2uHvDIQJhu+H5KWa5RNoBcffvj/u2eZ0+hp3mBHIKt1KRdOhubCyTgJxVxlNdlp7vPo6bvvJna77+PnXv49nuPwc27+9X/lc+zlOQzzFy8fIXkG2pmZGkhuxbsYBbQBcaBHCk/Q2cExYP/w4fmXL0Xhe8fkXohnjo5yk1w/yT3WXsk9VlNJ+8MKjLsMq1pkc+go6v3CX3CTkEsHcpbi53O/7/PIr+MnHkN1xZ86LyB4sq34Vc6LRwuHZ+oODD70DdtOI7H4XPGr7M3zJ67eBu5D3qD7DdyGuj//gus8qQDL5LlJLLedJ7BspW9wiDp+CeZRVXD0YwjY+JtHqUOPPYF6D52mDXEawzIzv/+7NKTjyuho5jHkLj6HMqdRbQkuJdjg9xWP8xqBTQ3TQjJF8bYDIJJE78PfVjxeeRtinrwc5VXX89R3C0gUvK6Ghq8XujHlKqkYCel1/wzorc/RZZGg9GdYl1hHY4gnXZzNmQGTM7gn0Y3a0xq6qfgVzwEPd/5UAFLMB05Jl0b5Gaa63ADzPYZohKFcHy1X6s674nmPTZLYQOqrxnjJf6H/lUv/hkhWtVSZyJkXIPyBIp1hFVj79kpn3N5aMNuBLY1JwIHZrMJVmeaw6Rl8l5Pu7EmWc1eZ3sA6Rm31CUcUIwH4G+R0GtfKybS1PJFKuvycq9xuP974DT9ufFtb8WtlEOg6bPHBnY/KaAfaIZXBUXyo+JD8aKB4DO3FODuGjnGHuKdwn64gmfpqXECTnB8SBAIjbgMhVM4PhINgCjWqE40S0bAY6hVKDBL8YqwxmEvZqWSvHTGaVFVdEo1jMWHKNGLsaXw+F1RRo2LqvXBLWrdkNWYae0GnfwDT+C3Mq07+EkcXWuBFmtPXD8OoFpSSIETTE1fXQztaSGJrV8pwYgdK3wP5f3r810+8Sv4Az2scP60jRFvXj/nOQdBDoxAzMwHywZ/YszuoMPn17vy+eP5xe3aIHh/uBug54nxvJc/hGaJWCnXP6kTxCWo7sAzTSWADUPDhozPXScvF6Oxqeml1fPY6uieRlKz51u7ZMXoi3J0fkwqfww9+lZ74qlT4Fj76n6hSdZbia7zvb1+i2u9QVz7cBau3bTUX8mGp0FpzgT0Tag23lRXcq9t88owqdqaptVdjuiBdhzt2Ip2/0Xdm6Nod+yBl67e+ipHvTw6DJLhvB75/9djn8P2F3s5S9rPFEz6lnJOxC2FKhbiKxnyBMVIpBeuVQVS8bDuJaloK9b8ohDx5zEUxr5RCYJH2rGRttqhMmthVltv0TntZJGG1hWUZmWF9aey6GD4wWXbo2Px3ZVEINkpaUFLqJZcgCPWegNQU8iseT404jR8OL0t0mTa+H2zD+rZetzXrl48IQoPHCiqWx1sjCLzPIytq0PLg59FBfFPMtvATengJ8svhMOQ6ggStMjxW725SuhS53lsjirgovxILKkH8iq0Tq1KG4fF6PYaRynxi0wHd8EmSt6P9s/N/zB6en2ZfiCSMmFsU3arWatop01AVt4hqxUalMzF3enNmpfN0eyazedPKbE7X1/St3GSberMSUAJam2knzbDWKLoVRQubSfzAIL3/drhdb5ckqcHQs/BIBNfP7a5t1NoSESthqPghtxgziB3X+9wo+3KJ7zGL+B5H+J5W4Xs2Z6D3X7eOYrY3TXgLUrhR7kmHV62mbwDuQl+COQIRXMvvgWCUNRjpBfrWWhjnLNiP8jQPIbwfvso/RP8E3f9GlBQE4CI8fitzlNvGPc6IzOcYlK+FYHF5phsSKYqkLJDvySD6g5fddBAhCIV5ruDyX8CTznNn/+av//anZS8ZEZ/nxYJLJPGP2SeJL4sglsj6DOZTpZHGQ+w5jmZKRHagFgUMtBWN5YszaGwGXexH+8PFLxWPhXAd9+I67iN1/INyHbluWFZZVEflb7+1oI4i1KMG13H65WZSR64LfHXwJW+ljpCQSqi5Wh1x3UzIdWSjAK4EGi/m82ismD8awgefDReP9hePkzzjv8YE+nXXgEObG7BcTleWRUKbwzzNU0tWhkDhCwTZ1X1G4CBJZQ3tw5q4039AqkVqW1JHbEvOeOtEkfAauNoQB9fhqhUjTLQ56F3n99fnfvDjxq+yAfLz3HOugbkNxf30l+aBnHM9zr8ouOUaJscwwl1EDjgPa4wkN9aGypp4OUsYFXUBvr0//YeSQ1SeJUnPuVYSCxW1XuAgDCpX5baIHz3P/mD//EDJ9h+hXazAHeEfYuKQBVePw1ID4QnL4/nIz2Y7SLvwrA/zse58B7U+VGljE5AwMUJjITf5wNOm4NfBOEugmQSQrTYuiogN+ohKMGwSawofZhEJg412HYS4YazkVxW1XYvfsmMaUytvk2oOxKLTLOKPCYIYEESpriWsaB7cBXsPFkfRl2OtuiTXinZiEktwTDQqqjzuNoChQX3hGB/0PvFJ4px57CyDJK6eLLQ76oj67ll3DZyDnF0kq6ZENBPgnSS4MRdvIOFbG+ohfGuDi2xra6MzUgOclsAmwO9MdhwHeTqJAIX1E9yh+bXsqflt6IvFz/0AsdPc0w8WBx46P10sYmkVMWOwnurayoww9zMzOZAhluOpdgPUtY3UNdeA69ppE+uEpd2zLp6c6LAh+3KGWL+caco1iLjbronnN/6swArd3YVluOZGBNd82Uao4rKltdG82T2zcRkcbYQK8zl82yhkMt5IogMzheU5vLOWxDWHgEWFtiZ8rDqqFAN/r6o2JWxSqAk4TSbild69KFtBObtSFo2dPXs2GOxKjA7fOJzOdVlRw/+XblkO6UGzbf+tCMxL4RuLjqN/tLIhTZbqHhHDwS6rLz0wP2iZhhIU3eiFoyfvGd06PJKwWzSvpKm2lV6pBzHuuNzos3+4+Z6TR4VbRoeWSapihG3/SH8yGvHLJxUt2BYx4+kgphGxy+/zs8RvpxVLlp9D/6YUfT52u20TEww8MSSnZlfTfZLJtBX3SbgtwdZD5iIwdYSJZEd3fit4Euwkh7O+BrgODkD5dkxnPl9aKgX1nY+sNCbxSOqkBMTonulMQq90duA+WtY9k+yEo2QYY5nQmcSUpmT+SygS7HVKhXEEIeJmp6jM1kvzHU9JhQF8/tPds7fRd092F75AKcXP9/71O3TNZUTKD50r7FlyIX/zOXxwZsPIEJ4ZDJPtRtjO4P2qacHGdH4Dng8Mjey5ecPwxrIB7MJjwkCS4BmhpwudAo1ZOg7LjYWBKcz6Vt9OXCeW+uTvpHoHxic/PXUbyG2t4NkkUJ1llV9TFAVRlRFnFGEETGF5GALDYhENkmOAEJXyoeoVTOrrzi5MrpFanFyjytATzwBiLz28eRzC263KjmT6R4bdnoDWaIRT71yXGTp+fK1hsjFdHY9ZCMX2CKK71u2WaoOy1BiMCbJP1L1yg8fjDgXbwtZQ1HLfIkiyP9zUbFoWrwSCoidhT4xMugY3jz823je4LB4Kze/ntNtuyIYjiia45/dv//KXtxenx8QdAm9FxtGx4j5JkxQI2ilLy/Q2I8x764WQpJjhSLRVC6o1mBFZw56YJC8xI5rZHOKlkK6EzfGEPQ40b+vlt/kdmJaMM19iZoZLEYAILYEF5eWxYSAdyAYSA0LFkgg5gdniEkpLIDjnJmL91Cm8NdNJ9H2dcUo7hM6SARTmnsREFzq6UDcOXds7jHsyR0T0NelCyxISODrf4CvRj44s25PCNGQx+aipWnUBA1NFrSy/qKXMMldkPYls/TzPf346dHj6jXR3zM6GIvHxzMDgxHAqE4k1Bj3or4smy6OfF1e4ZUidndqcisQNK+SJ1WxMh5KRZDzbe2Dblv50p+lB5+8Nuc2oO3j0rYMHBcGneOUl98S0EPJKeiSd/cw9phgUDevoRDIXiSoKEt0Nkk8I8V80vZpHEt3tRl96csteIncwl9/Dc7MxJsEkcR/8AfPP1Dq60J3EFOU6qv0n3lh2Dz4h07WUaOvGmnr8Q4+yN5KjLDk6491YA4R9H6Eg1LIRfB3BisjbDYvXGl1wMSTQjM9uoic2SYUd+GiAsurbFskK3V35ni5IjJ7EskKPVLBBVui2e5KlkOntjZiR41EIPGDHJtyTWdzBUTzrmlmxaQeczN6I+91oxzMyr6/ANOJfGeLxOPOsPuTMd2pKbH5xNOfS9Bt/SCTDntKiOQmKqywIzuXMklpR1SyporNXlE5zam+kU9N1973uQGNXfzhcC1Hmg61mSPPcI8hKi94R6xna3a77JCr+oM8G1HZzclUqTs3VlNG4vcK2YxA4+YTo9kgBNa0qPknEcx3J29USVoMQYZd74uDIqJ2IBRr1yETaM7Q0OjryldiwHY80By1zq5jqToctWe1LpUbH506DjIWOHx4ZjycsRZ0cHzl8YOPoVACUCT3x8Y0Httq5lohXQj5vxEzbWwdH0xED19C0kqvwfCN8+W3uIddXmRSWDu6h2QBmTcqEzBjJOmRh6WMIPDTrHQXmx+N5G4TZ2Vaq+u/tnrFb4VYb4QHbKoEXBXASH3EkyS8FdmXRQys+u5TqrzBXKaxuxR1db8aI7ciQ6ZNn+QDTQ0OwoCQYEn5QRFGIXVjqZpsY0XexWTCTNldcfVodQOG1qgUOOrHEUNKKhnWv1KTGY6n0QJNP8SuaHTGUQeWPb04vi60xhVWtSEhGTENTcN8EVElrCilKvZvn0YPrQ+4AuzHdm45E1WCgMRLtyeR2bRnfPJZKR95LT8BCnh3ff/83FGX04OgTvOZ91oxHN6Y3DXwy1Wm1mW4J+SU91JlcQtQrjEr0+uBP2I1lg3HmBbq6VWAa8LDtoUvSRBz32LPxfhszewj1DcM3fA05CjuC9KbqgSt1w9ito8GG4ISXGC0D94ajXgncqsBDQiMhKIHEEhPm0D/PkIHb0MXnJTxR4sLEhJljCpxE5kdcgzNye8FN0e6hCfLi6XxELiRXQD9e04/7UVYjKZFmyPTZqAslSQoasGsDs5QQ8qGeq0eHAbILanymMpD7WKczu6hvnfoDpLIcy/7Js8Xf8CyLUTsUSsQGhpYltJAH/+GjZG46nWlF3y7+RBDqvF5ZDfmVoAf2JaWrUWrw1LgGL73mTTdoWSknc76LZ3lNywYz43NvsjM7cqOxOKTeC8fsoeGtk8MDSbtJ23VD0X3XXRz7cCobNNwej7fv1rHNdlbVPV7U4NFDaYgXxQ3zz7mexzPB5egBqmcuuJtt21H943lrSZ8rYIlLbOmILFExF0wAF4TlJzwurm4GDMmWwXxwOR1Fy6nVWwsdSd1Ouoo9vySxZ/MRPP9ddq7Q0IG7zn3ubObgL68l55u7Cu4GMd+Au9WM4Gsd50rP1OXd0pk6dwMk2aN31+UbpDNSQzMW1Hxk6yfbRrJVyTYI27M/2frL/53cv0w607ksgs9bZLuUbKOwncFvrjJhx1dA1oum81Y635nGE5vmKhHQR9KSN6YxM88HIS9LXYM/aHZay8BTYGn0irwsbrjebHZEPuCWssQYWo65i5F2VonAxwn5bD+Yw5NY6H2Y3lBjeELraziSnAUjXcDHo+ee2Ie2PPQkz/Osxot4IssK/N0nbwK3JfaHW+9y854ajXPt3bZt/lXWxN/pYlysF4VBjyR463gvJ6KJ+cNo+8N+UWBFthhDE61u3ZfzRotR5v/PX/tfMX8tHqOTl1/jj/BDTA+zjrmeZgOAfLAwPLvis610D89/kg6zGyyRVQOfTxKyCuKPIjBLnEjZKyAARGsXhqziK5gdQAMDwNgY2F/sJlyCqu5rXGiet0hYSem+qhkvllImVXWJmUz0pQYyAwe27RpYH7HmnvFapm4k4tGhL0StaGf7UExPxNODw9umn8sNthm/Yjd7l4TbpcGunvin24PjXlaevHasP7s82haSvCgSHRzeveePig9KENe/zq2HtK5orzUYSeM5gzo5Or5j99MoIAUVvyh7UMDrXumF9enLv+V/7BqUIuwjxVcZRupgzbchrtRfoKfmZ0msGLg+jq9/63KYXp+rvm6Wn//zyzq9LlZfT+Prp8j1xy5n6fVZev2h+Vk8NkRmF/8MO8D4YV3SQ1JdkH5S4hBpjynUekD9Sf0Rkliet6vsrIwuJG6azqwPtZkB7u/n2pUOvWX9yj9CuSXRvQOZFZngRDCTXDWwF/RVBy8/zU3whxkFl4MwQuQlsvQDBBfiQ0Ls7ILL0bKScgjeQ39RC3h0cODWqBlPJEYGYwkdXsxZQyunN23JpHNDektYmzO415SONmZxm+ha64I20bHrmJoQs1kbi6/ga04Sk4jca6HWYDtuySZondEUbkHWhJGIDA/sjULThiMJ46ptcv0MYoGU2iTCuho4VRPdZ5WfKEmqg4GHDg53JIyJaEQfH0kk4mb01heHjGC4hXttzsCjtXMol85s2UR0y+U2GfiTb6n005I4RDnA/dTik88gRvY7S5flrrqieVd0HVtc3Nx59oquXNR8p2MrMDBxvVC+g8AgSGEQwTAIYhic8Ta0G0vUKjBAxRZ18pVwwUVkqvv8CjCxRajlAiSYZxfCjcX1GyL14xiLiTHVdgNL4/laEkYD6hoFh+VaXFfZD1IE1NUFWsDfs77o9aL+EXXePYbu/n2rjenq7su/4He4nmFyzBRzK5PPxmc30nn+dfFZD10JbIrDzIKYUNxAVifXCm/l15IAGJCgo7AbrKDXYq7ladOzm3Cj8jFQ6zCF6zYCOfVJsDDn8UG+sSY535bOm768nl6cDgW32K6KTA2fBZQX+JlSHR2tvLZWbZ5+lXQquxu8wXBHdFVu/ej2XSOjJs8PDR8Lt8XUcFu0PtK/PLfu8PhYqqdR4VlRFnx6KjkyvG3rvt1f3ioHfgiqGyuSGlubWWkb7Q21jbIR7oxaa3pSkWgoDLlr0K7E+Njq0SzJldKd2Kwrq5+d2i2IguhT3MdDXhlFrdHhHZN7Q+uMQWGXkZuemhpa3xnpu3Vg42BPlxUxZDkR3TK6+/qbo6beqkkSCmqdsRXp1EA8R/vIg+WMH7mmMUIFkOqsIgskUlf1En/mjbduKIfXlM7RnGdYVux7K0ADn9V0FQRJJPMDXrsA/vGSdEaUarDAV0u2brKtI9t6sm2A7dlVS36llVzlfQLkbpbJViHbAGxn8LZKHKTBtXzpGfyChdmc69L52jQkGRaxlNiAWI4X60gCZyVQ6+5aLCf64Aah5oNvqTjgJpGNAqaOaGjvOGpAQgPyoNfeQ/845+Hs4rNCQAyxXrHO3cSG9GP8u5fk4w9yG5Tlwc18pDkcXsNv/hSG7O5imsRqqgF717JZm4DKIr3j/fdBHod+x+NwN3fxu/OHi+ma+t/9VrjpwleAtmr43XkS2+s2przUkK+LYwr+Fqz8w+I+9GS3/e+vIT0p0lB1jHohj86dPf/df38D7UmhqyCS0LLeAqteIHkZ0TkGVnNqqIMu3isvj5WSQ9SSjM21CG809tD8V/jc3Ay7fv4x7puXbio+igVn+aaT8+F5gfqwHWC381vY32B6pl5h91Wx2jrAvcluv+8+TJ/fRafYV9kX8P1dJV7opbZX3orxEEfEMeentJaKmRV695/QKbCqpDaNo5d/w98hbCbrmzM1IFcLNob5LOtMmWvjpdXDp7/3q4NlSHGSC2Jjse4LsCBX475wNmu/M1gVcbbAcmKBq73gzfPnwGjHRdTUGMOq1hJL0ErqsOhvoFHk/Q16Yrro2VP8Bec+MD/quuvCQ1wT8dkMMc/zp7lXGJsZYj7NbIf1Mcjpcg1dMcp0gwPJNhvsULpIxAqU307A0EPn7z1S4VoskjZTHdxnMBpd2+OTv12jx+r6NhDhP3cN5hRMs+nYCVXZCjgemN1XxiSo6EEXGR84MikYHVQoZh+qEMyQoq7r7Vm9eXSoX1lmbIhaif6eRCQcVGTVMPf0fXJkZHVwiWqbVszst5PDqnLUXduopqPZGxJWyh6IpFW5wY3mEjG836IHZK8H1Xsag6HwkmxPnN28eWB4R1t4oP/+eC6Va1SQptnWxwe2TfSNxpPZtbmvZFKGbfoVLfSZ4YGtcbur3bAOT9+xth9ZRigZWXN3b7+i6qFk7NZY1DRlGa1OA65AXKf7+Wcxbeyt+PuBFowjpv4cAgssoYR9vsoFVzkWC7F4DdiTfA3/7KWvTVIcfPBykY/zIpY2+py5nc/Oa8QmxpGHHN8gH03xgck8RFoBHg/RoGSDBGQDx3hfz1WtiokdB51++R5ct6p/fMu2yevG1vTrxpSmxaPrBr42kIvZjRrLMvt/khtcEokY6wcnd+wvMiw7NTySSobwXzI7uHmyCPV9u5jm3nC9yXRDLMcQqP0Uyse74jQYjR3P1/2s0IEJVQ/IcTxkB+oGv4czjCfYAVxbcTI5VqIEJxco8gLVueHKbsKAc2+LUQ1LJWFLEIPBZdFcZlRN6M1yWOuw9UiD5BaDatxakxk1TVssvs57RFnC0xWdf3FyILfUAqd+z4lat6gEtfCySPxSbNtA/3JIOCKIJG/eLWiM3869h9u2C/Uy+WjcWdc80+iKiiRYETT0U/HZXhezAZ8e6v0UPn2tI7NcHy9MUWrx9sTTTXSF65NS/hPnCisDF/ID586+nXzaoBoYKW+eK9RKF/LyuTN1tTLEsiLberL1kq0E2/xK6cyqlQOQ5pBsc7CdwWeqmN3qdD6XnsGvqQ5qlZcw25Nq67ySbEZWrlqdG/jEJz31XVcwvo+8hRrXRSHAkoZnTQUXzGZRM9771LV47xobjJuGsPzV0zdSyZ7oIGEps5xDBgKL106cTuYqj5RXZK7+RAktbkllBsY6O7UeLSF3yEow1BhWdN9Att+2FCNoNcVC/aP6vsHlPXGz3QwqZrsaX5v55PA1iU9DNJnK/ZlUuLVyf2Jd+X50y1FLUQW+XpCEBkEQ3TUiyweDS4+H3FKth+Ub3R1qnQfVCBCkCR37stmkql6dZUt3ql1faWxw7jQln0eAG/3A75gUP+GS8FzuEQbioUl2gXWBLQcW5UsmlWARQud2ZLXktX/4M4pNMgkA72uCMGgufHSGlUF44shWgC3Ehaj1iYBQZFtPthJs4X4/3MMxZ2pEn+xkj2c5zJNqPfWQ62lRvzvsScdfm8PcnHwN/wGU/EGxns08ePRrSCme+hEbmn/o5L1fQVtOoJtPoCXFvztRPHGi+DrSGWqb+B4/wY859i96iccT9o5/wBS2IpRAoCgw7Xa+B7g35sL0+97x42jXiRPwpbIq5KTewoMc4MZlUFmVyA118Tz/swLj6u6GuD4AQPXrP/ljavrjwuxZOFcQGy6A5c8vd5bOQ6he9zmQdQoiBHqtPcc8SZh1WQ5Es5WjsiQItURgnbSfexNX8s25R7mtx46xB8+je04WHys+9gCuJ9hmTjj1/OyierqJZUeplo/95Iu0NhD6mz+HZegLWJY4+8st9LwXZECXIOIGeAti8MLVKvltety1uJrEUgk58NyKq/nGsWNvP4C2oC0niwfOE3jejeuZ4zMMz9Qyf+RwOJdjbEAyurrBtMqxLgZvjhpqlA+MqI62IPrii58k9I3t4rGciGvZeYHH1Tz7t8aL19MLEC2rUCuK9FLNOXYWcaUKowIrVsW5qUU+U8fbu9Fr6O/m/pTzF28vHmQPoXPF1fN3TrAM2le8l+Qmn+UnsPzoYjoZQCoM2xmeSNG4JWWW7KKyD+XDKT/MhPezGBr5WbbvvuJmLMaG50/yrHCaWcIkGOC/VB8xo4HrD6MpYGejLYEXmuSFNGghhLwhouWVaVCBYkHu7jIfY8OybBqr0+MhI9ykSt6EacmKT/MElYDkddcI8ydrWnZ/astgfzTirpW8mtoaSUhSMCIjn9cKrct+8ndfBf77/PxJ9glczw6oZ5jMnaGenjDU08NBPT0BqGcE4vKUbKQ6qSTdUzYArdiXVtKclYjs8wkzoqhewc+6NVXxQuXuleROM5seN7Vga9DrLWqRhF/xiyFekjxLceW21Nzyuzf2f3xbLhuNiKLsDarET4KN8q+wT32IbE89JN5go8eO0T4gbQOJt0qU16gory0Q5dnwvfMna6X333X6DspxYSnto3DgyhB5iJhJsWH2u/OvzJ90tR+7tBfqDnUpvZPWvbQ4wzvv5Eu1m+G5UmHOO3G7sPjlZr97L27axb/nwTEA1xPggdtXeiekYLmq+KhdTXxERHzE7WYt/J7Dc/IxB8YEZtX1REzFOQq/ky23nSUrRuzCetq4nhbUk/v1pWlaT4An8btaw+AXkHoKXGlmOsMJlSqTGWrJUJHtnqkhRde4yqFpaK0BvrjeAOBaCdf80l6mBONSOQthLEDkDGaBj5cA1LLUkitC4NCWGKQttDHvv8tTXxUoh+CHU06esxcV5by/jCIfEmqHc0LtYKydfwUKwm0pl+P0b1V78q7uxe2odIeLJeWAi2FVz1S3B48O6BuLNIj0eLk9uJw65lqmyh3EVe0OsqBUj8NrgHxrxKVlptZddm90E/dGN5Rdv6Bs3YEndNy9pSqQ5rKX30cH+Ve4fYSvNy/i6lUeLpzDyjG4LoX5N9DBY8fQbjyRJ7rMPfMnuR1kvNdgultCJq5s6+rER9H4amSCD9pz3yvO8CckoISzuD61zGoGindBZjcCVBG0KZQqEC7G/KwaDARKtZBgSOgGRlYiCIEKUaB463rlvleOzRE9+R4Hn2qZ9Qwxt6b4JKJyceDls6AozDAF6kO4EMGqi/SRVcc93C3Fe+4tUSKeDBUKK9I+F+71UQZUE6AvqiUvqoUi3d3lRnqq6B0sDcM6v5uW7K4jfQ3trel2upsWTpiiAcXPm6+wPK4DafPF7/G3kmaXxmsJxgvHq0hh7HJgLBJso30HQS0BLphs5pkSjDFewIciGAbxd+/FqIFLs7jXyjjO7SjBmAGH3cXFcd1OUYvKAWBQdVmJa9RV0WT4uLmb733lPocyl/AZyqvA9wqKj4VyIIU1DnyvRvvBH7ri9Krx1cMJd6zTWuG+4pdw+bi5l+7jXsOD4aLlWsdQugtjCo+HEnxrwMfLYRNVNNf9gTQ3L1Zw2Haw2CG8rIUOuuy5ZzESE3vrPQ6tcuBbyshQYUdVOHy1ETlTw5NSa6twmA5OPOBheKIDlEuV6RbGYad9FRhztIW1FVRGtdQl27OoZKEM1dKdLoL0ZRwmBZeKZ1+dn8M1gCZfmsQUh3set9zx3TxIeE4VDjuIO+PiS+SYNJz9Ge7QUpksoZHsVXHYdnDYojjMpS+eL/MDQt9q8UQoqTvgcaPP3lempg7LpfSU3Auwce5Gzrtfu3fuBH4Iv5z/5sXzGGO49Fyymk/jJyr9XWa1ZXb7LCVcDg0h9NZ5wnbIvNNhxXtKNNVh0QxX9Uwt00CfopQiiEpdTYgFfpw+TMiFax2FeIXH01Y58DLKECuB7P13ycB3xiHhoWU4EFMMArf70I0V3n5pL6X9XPkZF/GwYCrjDdeVQBDGHAF7ZdQBDC9+j77BKZfQ11K5AecdAcro51+hzAtWZR0GVpErqp4wqGgAFPy+knDgCAhcuQwXhWW5ngGyNGfQeuLi5ghEK3V1+o/y3FL/OZyVCgnAXQmjdhgsbl0J351xXleNg/gJCo4DZTykg5SrKqNUR6cUu1KS82ylrGTV+HLwxV/d3xUfhFK/lxC01P8OkgISLH5HFZ468HXKLwG53IAKsPnyOwAnfGBFV40VahUGV7CjhMcLkeSVKnSGeNLsfvDXx/Bhgkj38efxcerSczTWNC4TH1eu4eOfX4pUrlU/58xenGvsVOUaO1W5Bvul5yByBjvF3uBcXYKfm+OnHPkJMN+P26kxYcZgIkyUieMZQYrJMP3MWkzjNzIfYzYxn2CuYz7N7GRuYG5i9uK580HmEHOYOcLcxdwDkVqyCDyFAoYPPIaqvv7SuUXX/Mn/svdPVf5u+ID9qRsqf1M3Vv52Vd2S3bmz+H/u5Gq3b0dH8Hd6xw74vXBsG5qenJzfOsnfWbly8bv/pW4GOjNE+uyF/xf77DjzNeZPmW8wjzB/zvzPzF8yZ5jvMN9jfsg8zTzLPM+8wLzEvMK8yrzOvMn8R+afmH9mfsv8J+YScxlxqAbVoQbkRyrSUJhhAh/QB74P6DPf/2D3fwDKfdTZf/1jVUht/tfF2P+2b4bx1EvoKoyndcwG5hrm43hG/EnmU8xnmOuZG5lbmH3MAebzzB3MNHMnczdzlDnGfIV5gPk682fMt5i/YP4XpsB8m/kr5vvMj5hnmOeY88yLzMvMz5nXmDeYXzBvMe8w/xfzfzMXmHmEkAvVonrkQwEURCHQbYMjmm/ht+IrX/01AliEufKLORB+KoVv4eDp0q/z9V/t3H9n91bR6xuczY3Vf5cSC9H/g4bFBw2MDx47H/1odicytiN9B/nfXvl7ekfx9e3F1/D/ZPHVbcVXJ3egtp0/2LYNmZNzc5OTfGQ7fe7ixM7iHTt3so86L7k489/WPUSuOMgc4Cf4zSA7pLDscJB7/QD3+pxO9P0syYvxHOFDDEQyMnWfzvLPXTrCJy69gH9TI3wCzxN3o8PcLu5QSf7Ax3PoMJor8ng+UblWQ6/CO+CO4hi6vvin9L4RtIPa+w3yz7BGqS4i//1B9FqR6BUYL5Pgn+KfgDqlapGX3cJOJPg7Lh0h6+6Xf4Hr+ThcU33I5u/X+GfnH6Jr51587Sl+O1zz68jLPzF/mt9+6U5yjcXXTtLn/MjH8vezw+yOS+nK2pHrYSKHM8Ttx6jl9qOfjkOYxvHic2gH+kzxG+wL7Ivzifk43v6Y7WOTdN3pFPNNPspbTBPTg5/tSfWxVKNeCeNAPYVAx56qxFMAGwmjvcbLnjL0P3zwmWs292WGhzPZaydmJ0ZgLX6iWbthzeD64cFcdyIUDmtTawaHh9blppLsrq0TY4cHDTObeeyvHsvgW43wmv6xia3j2f4btBBq0Wx79dD6gZHcVHMopE0dwW1/grmbD3MXQeqt2L6VF1ZVMO98wuvRw5FYYs/f70l3WC3gpVAsFo8Xi2wua1sDadPS0umwaSUHLDv7ZHEecbjtJJYUf4To5wnOINrOUvjfsrGBF5n8kTne0L8wOj47PnpINwYz2Y/BbjYzyB+5dAeb20pOG/qh0fGtWx5ZlYX9bOYUWTOsLqf3o0pSexa0j7psUaOUD6nEaCiI+27w3sFsKhkEuK3B+wDCD63dlqF12RWpplAouCLZ5zxAnqX6jb3oTm6SO4BlOgwf8GAhjqQV8wUS4BzjRE9HO9q7fvj8+mHTjHRGe3aNGLK8sSdxb8Keuoe9Y2poeHhwd3LCxGfRUMSKHvpSMpFIfmmKwRirMSyf5+/H0v9qZgfmcLc7fUzzzae6W9lSgiPYRGiWlmqMdCI1lxAS33dl8N3FTo5k4agRFrU6zJ4VsNfeoSlKxNifzY0MXnvoxVNbFaXTuK1vYP3g4+tGctn9RkRR+q3I8U/t2LN757YTEcuKnNi248Y9O2D/fNoTUnTdjNuJ5dEWPeBtWiWFjXAsmlmV6o/FNFNmrZawZYVDnWjWSlv4nx2dWDc0gN8LOauue+TFQ1sGh9bSYlBAXUKL3rKHFIU6oaybcLnHodzj23YWX0pIugpRQ7wev6JKekJrj/g1ryx7QtJSBd0ZgjI6Q/SH+F1V4DyIpYqtvx+UXYsBGVls8cBBOs8VkAJGcCmNsNcufDQkkSckm1os1p/KrIrGMKikVcF6pT20NN5tx01dV0Ke5v9HELvFUixfyCPLXk3uNJoTkIu8BCVdQtFQJ7wsRH8I/dMu38nP8GHii8bg+RyGSCRF8kVgUQcan1JJBm8s9xBnrBoCgoCRhNbXRIh1WCXcDE0RTqDnLJRq/1Gw9EftU7FovHd9ZlncOmWfCuFR/dZbQkBtwQdW3Mytzy6Nxk7ZjxqyUjPUqHR29qT2phLjxKdxUwLv93RGAo3oiaHMRPRRfJtfEX71K0hggw/MRDQzlIonIqfsR8KNkogvyLLxCCkxZaZ77UhnQFWV8URqZao3Ma6oamPETPbC+M4wg9y9/HFMn/owLCoeajCyyul7QOAzSIwCwIqUgi86HqN9CBraRXEGZYLakkivvaa/JzOsqchqN2Op7rffXv+rX8V7E4NhM2tFdnZYJLiyX0l2RXZEYs1hk4sfTGXMCISC0jassldndlhRVXM9N/zWW8PPCc3B8a/Hx7OYbPjlsLbM+rQVS5LntfA44V37eZ57Cdc/C/jcx5LVYBRHuuqLI5KzaFHS9YrLax/b08U6fXQqMXprX09XMoyYN1g00pgKXGaCjRJSg52RlL06Z6ciptY0BOnNYsYeI5I1zeworn8IGvNgdu9oAtcIsYFUsPgd9o3LTChtpft7UhZpVjBiZnozcSumhRQJ+eS+8cnxrCkrrbg95Zj/pyFq7ALHGfjYVV71pdhIqBReK0IpoBrQkw7eCQsSLE35vOFwNBlPm13tOh4ytqo1t3eF18ST0XDYKylyLhqLGsMtpt7YpI3257Lzen+ufxR3XUj0REMbdHxZN2Q/ei0ai1idnQkzHkkkcF/GrVR2aSKhJ81EZ6cViUVT8dhKSVK8clAdtNM5PB5TqYCSS8eHQ4I74FUkKaRbUdxWPMXh9+C2bqm0teSGVfJThr4psZgVaiu7OPHlVRtddcP2oJqIrxkeURtlv1wreqWwufNjozuXGKGAV8a9NDI8+MkEHh+4dVbYMlsTtdLi5quSJ4olhVbcbMOQA+i1THfcMLySKGlqe0QLX2PFwpBr3Rjv0IdDBsYxUZJyOw5GLT0kSe7ahqDgWQwI1eMONNS6JW9Yt+JVeXh2U8wtW1u0sqq9omKtStJoLUywGDCcwObOZyqgtocS0Vg8ao5asuDVlI+ZcISlriYVyWqTmtSzwqgdjjQG7WAoa0etEQWCT/m4fZloAsajLA0OJ2Mxc1CSAcXtRLIrmVtqjcRHhF25RLYnFYul+nfm0onJULY3mVpO6o+FWX4Iy7h+oJr9nB3mAg2cEWePTB8+OFU/deDw9PThA3jn4GF2gr3/T++/5x68Ke1gOVxjgtxpfgqieJrV1iY+eyHC02Yb1S7OvmqZCGmyZOiReDjUpHtNIRRaZweDTUqd2y0EJJ/Y3GUEFMmja6bRGQgmY9aGYNjyeo4bkBre4xVEkVtrpzNDtqHb0bjdhYfpMkP1hM2VqbUYu+JmSKubPx1pMUyvR3SHmhqBZ+y7/BKfwfJcksHyd6qnbFHsM30lg2LSRVVXXFVGKaTaZtK1z1xD6q0p7D1KsFkfjYSzuG7IzDmn598N4NMRPWY2QaXRHaw0/+6ono1h6VYQ6rmBXXNjkZCBO1kJBdWW8gU0+/H5N8gFjxtXOtjIvjf2+XGmnD+wl++FeQsWQ3W+99JP4Uvk1M34muk6z+iYolqEGy6ISxNwggN4UQjZJZdSH+iSNt/v8Qb1RGpEXWb5g6FmK6h5vJ6XXppl75ydneWePHIo050J4cHL8667Ib+SX8maO4/QJB+QY8KlP/44nY9U1+H3rMGHlf4RZbvOX7RpvKZXi1vYdy8/hCVSBvntAGegV8eeefzG4iFkmMXX6T08n+fedM3iujHIXiwa2UKVYS/+IP5R3iMFlaUJQ09YSlDy8qd4WbWi6wZ2TQ0MRq1Gv2s20RjySwJEQ5AxP8jEbN0gzA5jY8ypF38X+y6GB9QrCRUj9eLv0pFZrter/Fn2XYGpvuf0TWP8WRPpevFV2u8vFye4UyQXGlM2ZC3X3QfLGhB4r0xnXw42e7rcoViyOdNlG+EmBRV3syOGuf8bm0NJIxaMaa2/EQRWYHme90ohzY6u5545eun0vvWjW2M8K/K1vIfUzWRH2WddgzB3Q8kyrHw2puC2j2aPRaYcxOJss6Qe2l88cpenu0nSffzWgwLvczd5l87ftmcPywSXeMRanrblIjvK8a5xZilgSBXDxPOo6twaZOQpXtSAcDl64GJwiQnJSK1Qk7ri9rDmPiIEZD1ipewD/VmUyMU3G6Mwxka3p6KWGVO1JZqFr+bC2hoec4vmsFdG6dQN9s415mrtmvAeWpe32Az7a1yXflyXFDgMgADo5KRIOpF2ahZm/ADgE8oGrK6Gcm2gCW/9O3e2Ox3WUVOgUZNNyxxYE2qJWKYu3CU0Kh16NGGltyZ9Xt1YOzYakMz2ruihyT5MyL0N/StD4TVGwuMReHRzOpcKBlFbOO2xo2YYjwU9GTGiA52xoHzDmsRyq6WlAU9o+8xWGG/PsCNcEvePm2kBaCLoGhD4TB3ih63IIgI/ruYZtPvooUOHi79DIisoniCPu55l396F3i96ph5+eArxoVbBz6siZEAVMFbAeGEH2Tn87g4MKAc2pdy/ZBgbsPJaUxrcMB1D/J2eFUkp1NggiW6kh5NRNahM6+h08elAONwe2Z/JoiMHX+V4KZkQBb+sha2htnCDN4y+s+8V3ePJ9h88dIT0yxzGERaXrUCr9ECFezp1mGOF+EAypHu9d0qybsayPfzL+27ov2nz2pGx4T27hjcPj6/fTvzIOCSx/ZyA+zjKbGCuh5kwnhyUXMep0OIEvgxQW8kqKWyxo13VVB+CXyoLwvEsiOKBpFwqoUGqgrC2NZW5rhmy9SRWDOAZemtox+rc8hgWNxq+yPOSJyibEX+wzsvxos/dHMwGNTdGBJnn3V6fokW8cl0th3vL420INmGBhNNHtsqs0h3tjxrhsNamN4eMqN4/EeTlWHzYHg+HdIxkIcvsNyRFletE0e1XArpi6E3eerfb06AEJGS7Q6pXxp1U55EaGr2qFFIaZF5E4RAG2X8Gk76xpHjaY2BkYGAAYu7vpcLx/DZfGeQ5GEDgpMXjAhj9//zfWSwP2FYBuRwMTCBRAEoPDP4AAAB42mNgZGBgW/V3FpBc/v/8/zcsDxiAIsiAaS4AuwkIM3jalZZPSNRREMff2xYJCalYiFrEQ+wpOoSIibclRGQRKZGQRSRCRBARWTyJSEgssYgEIiISi5BFiCwSnrpEh1DxkkR4kOgkiISEREg283ufX/v4tWIufPnO7/2ZmTfzZt7GN8y4kV98I0QsFt+wCZEbBGnGb8nYkaBL0CHfPwU5kXVtu+C7fI8IxgTPBVOCcUEfPCtYEEwKCm697XU6/qLH2QnsFQXDsOK9970uWEE+EEwg90VY/cw4e6YavSnQJvbnnM+2xvl1cizyNP6W0JvH5zxnWoPV333mHnnrS6w9FCwJ3rGnRZDgjGli9E1ifZV1g+XYBzobiVc9a14Q9zrBFj7mXOx1LPC9lTHZa+9wFvIQ5GdUuFb4q2BAkBRcITZz5fxXhJ+LopcHH0kv/lEscKZCBCn2FDhTJSSI7WQEUxGMeXmIQvM1RC58pD022IvyMDpO4yJ5SZL7Iv6dxcP4fRoX8S1GLa4zfhbrffxMjWyjZx8cYNvnTu+7wfOxVIGr4BJ5najAmq9a9hx6dyX87uDOn8YZ6iaDTuWP3JG1c7DBlxT5pe6D2ouw1bjtRXKf4M7KvbFJcF9wmx6ptSZ2rHHntTuu9nSv1tvJFnpiZTngGa/H7QouIbd59RPGq9q7Y0+ZW+R7kNjouS7CUvemmf0p9i6Trxn26tgbcj3M/BprZlm3Tz+fF2TJh+67Ri2vMB7qVLtNgofo9W0tMlbk3LvY7fB6xwpzrfAS8Z/3YhXGK+7puufNyZ6T3xXeg/AtyaAzjNU4/Vh97kJfP+u7QD3rnrkY2YvEYJL1ea+XfKE+1O4qfqxGelKat6CHM8+xPos+7cub9LIWQF0GtqeJzZT3Dl1nfwM+pLGrff6Hd5ejHNTFhQfGVL00JuRYozH2leCGg/kkLHMmG9zr9jLMa4n3EdD3p+DqyGadHJwv7BVvHYI3LKf6qJMj91/DdguGXB9SXWZTfZCxxyLf5K5I3Zlu9tWRhzj3vYdzhbltcrId/ZcDuZ+666dv53gj2+ld9dy9feos/I8yAuedHKtz91djoLIilH2Owg64OWWFP3fe8f9B9D2P9UXGRl2fsv0OQRxriEMNb9AItbxc/h8V5CxZhm1mjervhZ+43ik1eDew1Wk67Y6NC3bMtk2ZX2bPfLBxc2wv/wF+iXLpAAB42nXCb0xSCQAAcM5TKkNnxpF56pFxnMd1RlRkqIAICDz+mb6Hh4pgHOcZIyMiIiQjUyMzICPWcR4acYoI77zgSNE5527ONeecc40559ytNedYY64519r14b7efj8EAoH+Dwdh/kyWAn++kkZJk6b5094jCUg1shfpRy7vQ+6z7Fvd33OAc2AonXcQcZCJ4mWkZJzJkGcMZyxkZmWuZ8GHqIcWsznZ7uzXhzMP+w6vo3PQavQ8OvFFHEPE9GMSRwxHEjnJo4VHdUeHv9zKs+S9zkfnM/P1+b78ZEFmAemrlK9gLB47e4x/bLqwq/D9cfrx1zgKru1rGT4bb/2GX5RSNP9thKAh7HxHPDH8Pb04r7ih+OPJgpMzROkn1lO5p+ZIm6fVpx1nEWeJZDz5n3Oqc7ZzwRJ3ie984Xnt+R1KH2W8lFJqLXWUxstIZUPl+HJyObscopZQmVQxtYHaQtVRO2gEGpnGoAlpUpqKpqWZaVaak46i59BxdCK9jM6h19KTFYsV8Yo3FcmKj4x0Rmulq9JbCVfGKucrVyo3WKmsLFYeq4h1hkVn8Vl1LCWrjS1nq9kGdifbxnazh9nrVUtVa1Vvq3Y4CA6KE+XMcZY4a5y3nB0ugovi5nBxXCK3jMvh1nLlXDXXwCPxKEAKkAnkAniABFABHgABzYAGMAJdgAMYAPxABJgFFoE48Iav5S8LWgV6gUXQJ3gq8AnGBdOCBcGqECXUiPAikogq4okgUUAUFX0Q7xejxVjxCXGJmCkOVOOrSdXUal41VN1crak2XpDVlNVwampr5DXqGkNNZy2mdhdMBbPAPLAIPAPSQT5YByrBNtAE9oD9oAcMgFFwDlyCciEfNA5NQwvQKrQJJaA9CVKSLSmQECRkCUMilEglKolWYpZYJU7JkCQomahD1Tl/0EsXpKvSTWlCulePqxfX6+sj9fEGeQPcCDV2NAYbtxrfy/JkRTKNzCjrks00WZucTQNNvqZXcqPcIrfKHQqkIlOBUfQq+hVuxYJiWfGhObW5rlne3HIx8yLmYq+SoRQqpUqVUqs0K61K548aFVP17qeVlr6fPa21rfFLuEsn1Di1R72nKdIQL6dedrd1Xcm94tKmaANXVVfXdF4drIvp5nUrug3d9rXOazY9Vl+kJ+rL9MzrWdet13cMCAPKwDTwDcMG2BC90XBDaUQZZ2/m3sTfjJnYJqEJMslMPSabyWXytJe1M9v57RYzxlxr9txC3JLfGu+gd8zeJt+mWoSWxB30Hcsda6fxLuWu6663C9vl75Z3u7o93Qvdy93xnvSe7J7xnome3XuGexFrqlVu/ft+3v1Yr6p3tXfzwdMHvj5KH6OP1wf1yR6mPzTbMLZCW7Gtxea0zdoWbXHbG1vS9tGebsfYC/8H3S6zm+wu+wv7kn3HgXaQHZBD73A75hxbj/CP4Ecf+kv6Sx4vP046i5xG58IT7BPCE9knr1xY19pT9i9IN8G99evSwPZvQx6G54Kn2aP1WDwRz/YgdhAaHBpMDgmfYZ+telO9Uq/W6/JuPw8+j/tIPs/vy8O8Yf3wwkjBiHFkYCTp5/jlfpPf51/y743iRutGe0dnRncC5EBdwBx4EUiMEcdUYwNjG0FMUBx0BOeD68HdUFaIEOKFmkOm0EAoGloKvYPT4UKYASvhLngcnoEX4TV4C979Y/lPY3h/GBMmhEvCwnBDuDVsCHeF+8PjkdQIMaKMzESSf/mipCj8Muul9uXbCc3E4kRikj/pn4xO7sXIMU7MEuuP+WKbU6ipC1PjUxvTBdPM6fV/AWS5T70AAAAAAQAAAqoBIgBIAKoABQACAAEAAgAWAAABAAOWAAMAAXjahZAxTsNAEEWfSYJIkzpFFO0JLKBJjUChgQYQ/ToYYwnFBDtBpMpJ6JE4ASfgKByDv2M7CISEVrPzZ+b/2dkB9rilQ9TtAxtZjSPGimq8w4CXBneE3xrcJea9wT2GfDZ4l1HU9vlgHo04ISeTVbI1KTc4mVfshV5lh+zrTISOKJmJMxcj5VGZYwr5B7u99ShUjY17r+OUD/3vVCstSuWDdmVvxZypnljmW+84N19woUrGUp28GE+KEu0k1Kp/lO6X9tqY5ZZ3oLfDv/7q0va40ty5zd2+6TSDt0xme2h19d4SnnVXUqXy063mkoXmyMUN/w9bOf2hDtuLvwBKZE94AAAAeNptVwV4G0ca/d9vS4pluUnalLkpo7WSLKnsJHbikNMkbqC4ltbSxqtdZbVrJykzMzNTykzX9q7McGVmxrsr4y2ON/edvs/73uzMvPf/MztgYvJ+f46nufR/frzceYCYmqiZYhSnBI2iFkpSK6WojVai0TSGxtLKtAqNo1VpNVqd1qA1aS1am9ahdcG0Pm1AG9JGNJ42pk1oU9qMNqctaEvairambWhb2o7aKU0SZShLOeqgPBWoSNvTDrQj7UQ70y60K3XSBJpIk6iLumkyTaEemkrTaDrNoJnUS7NoN5pNc5z4+2h3mkfzaQEtpD1oT9qL9qZ9aF+S0USX0eF0BN1HZ9JndCSdSMfRBXQNXY5mOpbeoMPoNMQQpxOQoKPpIXoHo+hCWk4/0Pf0I11K19MT9BjdQP1UopOpTE+RQo/Tk/QcPU3P0LP0OQ3Qi/Q8vUA3UoW+o1PoFXqJXqYqfUlf0zG0iFQapBpppNPFZNBiqpNJDbLJoiEapi9oCS2jpbQfHUD70110CR1EB9LBdAh9Rd/QPWhBEq1IoQ0r0R/0J0ZjDMZiZfoLhFUwDqsCWA2rYw2sibWwNtbBulgP62MDbEg/0y/YCOOxMTbBptgMm2MLbImtsDW2wbbYDu1I06/0KiRkkEUOHcijgCK2xw7YETthZ+yCXekD+hCdmICJmIQudGMypqAHUzEN0zEDM9FLN9HNmIXdMBtzMBd92B3zMB8L6Df6nT6ij7EQe2BP7IW9sQ/2hYx+lFCGggFUUIWKRRiEhhp0GHQv6lgMEw36hD6FRVfCxhCGsQRLsYxeo/exH71Jb9Hb9B69Tu9ifxyAA3EQDsYhOBSH4XAcgSNxFI7GMXQ1jsVxOB4n4ESchJNxCk7FaTgdZ+BMnIWzcQ7OxXk4ny7CBbgQF+FiXIJLcRkuxxW4ElfhalyD5bgW1+F63EBn4UbchJvpPNyCW3EbbscduBN34W7cg3vxN9yH+/EA/o5/4EE8hIfxCB7FY3gcT+BJPIWn8QyexXN4Hi/gn3gRL+FlvIJX8Rpexxt4E2/hbbyDd/Ee3scH+BAf4WN8gk/xGT7HF/gSX+FrfINv8R3+hX/jP/geP+BH/ISf8Qt+xW/4HX/gT/zFxGDmJm7mGMc5waO4hZPcyilu45V4NI/hsbwyr8LjeFVejVfnNXhNXovX5nV4XV6P1+cNeEPeiMfzxrwJb8qb8ea8BW/JW/HWvA1vy9txO6dZ4gzdQrdylnN0B91JD3MH3Ua30yN0KD1IR9G1nKdHucBFup8e4O15B96Rd+Kd6SfehXflTp7AE3kSHc9d3M2TeQr38FSextN5Bs/kXp7Fu9HZPJvOpXPoW55DV9CpPJf76Hy6ik7i3el0OoPn8XxewAt5D96T9+K9eR/el2Xu5xKXWeEBrnCVVV7Eg6xxjXU2uM6L2eQGW2zzEA/zEl7Ky3g/3p8P4AP5ID6YD+FD+TA+nI/gI/koPpqP4WP5OD6eT+AT+SQ+mU/hU/k0uptP5zP4TD6Lz+Zz+Fw+j8/nC/hCvogv5kv4Ur6ML+cr+Eq+iq/ma3g5X8vX8fV8A9/IN/HNfEvC1tX2TL7Lw/bO9gAn+ThBCjATYC7AYqKzJpdMQ0/IPsY7+01lSInLHiQ6jYqhK4MJ2cfWiSXVLNm1AU1Z0loa4cmJZcOSSyVFt5IlQeOTSrIrWfZhkqMvW4muwFAJDLt8Q8WDZNeIkCJooisIQ/Ex3uUrKh60To4EVYkENXlEqyJoanLJqNXkoFCJFFqnRHSqI7x5Sr9sNledR7zHUrWyElc9SPQEmahBJj1+Jqo/dD1BzKqP3DOV1UWtUyMei0Z4alo0qsEVChVTUXRN1stqKT5dLtmWEtc8SE2PttMihfh0f4A0D5qnO9k3a84jPtPvr/v9Z0b769H+M/3+uj/Aulw3GpZp1KtKU5deaVL0SqI3SN4Iku/1kzc8aOut2npFNu2aJttWmxEtxWf7MZh+DLOjMZjRGGb7MZg+zPF7NTxonRMZxkZkGOdG1ayo2lxfxvJHZK47pZY7pX3+lNr+lPYFWdlBVn1+VrYHsT5T1Ssx23229a2QoR0tJfqCqbeDVTMvEu1whC+I8KUjPL7Qz3WZB8mFI5/xMkFjmqFXGslONxa/mSxoorPLR1nxR6u3ocmNqs+NEe7tAdLEYswydKPRVlYVU2moDa+U7NTqVdmjLbJuWIqmqHKqq95QHWPv9aguK6jvMQKW6q2p7rD5hb5I42RvTan4jcaqTvMVvGKeV/MExZJjk2VnyhKBT/NC51WT4xObW3VYs2sUmybX67KzEGr9ZZln2DzT5vlqInDmWWrT7KoRm6NWanLTXNlOBFE0zaqqTROdv1kNNdUTiWB00CAsJ2WReEqJpquE6aphuuPsFbv6yXj9m/vdZCpuMrGyollyItBqXuam5FZaXkquWGzQS0nzU9JtXqI6y8rLp8msGvGGm0w65kGT5eQU+DbVnXxKzp9TjBnuAKeiYzv6f8JLGdHZsaOzY4jZaZEHVDXd3i5lQpZLCyYJNlKbFSwnWIdgecEKghVD1tEumPDoCD3SWaGXFippoZIWKpJQkYSKJCKVRHyS0JNEfJJQloSyJJQzQjkjlDNCOSPGICM8MsIjIzwywiMjPDLCIys8ssIjKzyywiMrPEbGJSs8ssIjKzyyI+MsenSIHh2iR4fo0SF65EVUeRFLXsSSF7HkhXJeKOeFcl4o54VyQSgXRL4F4VEQHgXhURAeBeFREB4F4VEQHkXhURQeReFRFB5F4VEUHkXhURzJY0Ql9HC4YGnBxLfbnhEsK1hOsA7B8oIVBBMeaeExEnNuJLdCfF7FlJ3TadiHef6pMexBy7xw2bcMhyy+wG+41AN395fa29sDTAcoBZgJMBtgLsCOAPMBFgIsBtjpYzrQTaeTA2rFNpWyc+p4obsrttBm62XFbJQMp6Jfa1tsOyeMe8SaDaXsd5S64zVV9458peRsYi3KkpKzQzqt/fqMd9WVpHQQWK7bx3x3s6aacryuNNz9tcs2Dc+2Iy0Fa8NhwbfSkc7k/HzTzp6gNCznJmcp5Rbn0FbUStWqpqyqc/nyeaN1QB0KearhBKsHhRbZNI1hTRmwEh6z60kPTbfarywbw7rP+g2r2hI0K+spwfob/oxIwQhL6WLSMK2qe4WQtZSqW+7glCzVuY8pi211SNYUvaTEqobdUNqcsdOMilqSNeesTrqNnTnWrLqg/daoOd3OV+P8XJIOSLsgmZBIIcmGpBCSYkg6QpIPSS4g2VBHCrvnQotcqJwJdaTwjRS2kUKdXBhqNmycCcOQBAndpTCejCBhVTa0SAvTUFkKQ82KxqFyNownK/IKlbNh95xIUOh4b5zTuV8zSoMJZ05djPklbcBH0wrKlnMLKysx75koD3rYMqBqmrMijCXxKc7g5DPxKelCLutDzl1KbrXpfAYJy1Tlil330QzKZd1HbSDuXic1xevonFSqPtRvO30tl/lVSaOu6MHLRk11Pl+5pDjf2ZAoNDVsPT7g/J+mKc3uI9aoOzE2lzS7P1ZVZMe0rMo1Z2221uxG8O0pK0V4sFi7gl2me4K/yzgojfE2gMgFva201HSyU0veVXuMd02PVI+NcNO9gCmjnLuwpjQai1qd5Trg/DfhLQ1r2Ah5m7d43ZLqXG1SA4ZthlUpdymLdt5aFiVvUYel/wK5HSAdAAAAuAH/hbABjQBLsAhQWLEBAY5ZsUYGK1ghsBBZS7AUUlghsIBZHbAGK1xYALAFIEWwAytEAbAGIEWwAytEWbAUKw==") format("woff");
font-weight: normal;
font-style: normal; }
html, body {
color: black; }
* {
margin: 0;
padding: 0; }
body {
font-family: Lucida Grande, Verdana, Helvetica, Arial, sans-serif;
/*font-size: 13.34px;*/
-webkit-font-smoothing: antialiased;
line-height: 1.4;
padding: 3px;
background: #fff;
border-radius: 3px;
-moz-border-radius: 3px;
-webkit-border-radius: 3px; }
p {
margin: 1em 0; }
/*a {
color: #4183c4;
text-decoration: none
}*/
a {
color: #D33637;
text-decoration: none;
/*border-bottom: 1px solid #D33637;*/
-webkit-transition: color .2s ease-in-out;
-moz-transition: color .2s ease-in-out;
-o-transition: color .2s ease-in-out;
-ms-transition: color .2s ease-in-out;
transition: color 0.2s ease-in-out; }
a:hover {
text-decoration: none;
color: #666;
border-bottom: 1px dotted silver;
border-color: silver; }
#wrapper {
background-color: #fff;
/*border: 3px solid #eee!important;*/
padding: 0 30px;
margin: 15px; }
#wrapper {
font-size: 14px;
line-height: 1.6; }
#wrapper > *:first-child {
margin-top: 0 !important; }
#wrapper > *:last-child {
margin-bottom: 0 !important; }
h1, h2, h3, h4, h5, h6 {
font-family: Rockwell, 'Rokkitt', Georgia, serif;
margin: 0;
padding: 0; }
/* Add underline to headers */
h1, h2, h3 {
border-bottom: 1px solid #dddddd; }
@media screen {
h1 {
margin: 11px 0 22px 0;
padding-bottom: 2px;
font-size: 30px; }
h2 {
margin: 18px 0 6px 0;
font-size: 26px; }
h3 {
margin: 16px 0 8px 0;
padding-bottom: 2px;
font-size: 22px;
/*border-bottom: 1px solid #ddd*/ }
h4 {
font-size: 20px;
line-height: 26px;
padding: 14px 0 4px 0;
margin-bottom: 8px;
font-weight: bold;
/*text-transform: uppercase*/ }
h5 {
font-size: 18px;
line-height: 26px;
padding: 11px 0 0;
font-weight: bold;
/*text-transform: uppercase*/ }
h6 {
/*color: #666;*/
font-size: 16px;
line-height: 26px;
padding: 10px 0 0;
font-weight: bold;
/*font-variant: italic*/ }
ul, ol {
margin: 15px 0 15px 25px; } }
hr {
background: url(data:image/png;base64,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) repeat-x 0 0 transparent;
border: 0 none;
color: #ccc;
height: 4px;
margin: 20px 0;
padding: 0; }
#wrapper > h2:first-child, #wrapper > h1:first-child + h2 {
margin: 0;
padding: 0; }
#wrapper > h3:first-child, #wrapper > h4:first-child, #wrapper > h5:first-child, #wrapper > h6:first-child {
margin: 0;
padding: 0; }
h4 + p, h5 + p, h6 + p {
margin-top: 0; }
li p.first {
display: inline-block; }
/*ul li,ol li {
margin-top: 2px;
margin-bottom: 2px
}*/
ul li > *:last-child, ol li > *:last-child {
margin-bottom: 0; }
ul li > *:first-child, ol li > *:first-child {
margin-top: 0; }
li ul, li ol {
margin-top: 0;
margin-bottom: 0; }
#wrapper > ul, #wrapper > ol {
margin-top: 21px;
margin-left: 36px; }
dl {
margin: 0;
padding: 20px 0 0; }
dl dt {
font-size: 14px;
font-weight: bold;
line-height: normal;
margin: 0;
padding: 20px 0 0; }
dl dt:first-child {
padding: 0; }
dl dd {
font-size: 13px;
margin: 0;
padding: 3px 0 0; }
blockquote {
margin: 14px 0;
border-left: 4px solid #ddd;
padding-left: 11px;
color: #555555; }
table {
border-collapse: collapse;
margin: 20px 0 0;
padding: 0; }
table tr {
border-top: 1px solid #ccc;
background-color: #fff;
margin: 0;
padding: 0; }
table tr:nth-child(2n) {
background-color: #f8f8f8; }
table tr th, table tr td {
border: 1px solid #ccc;
text-align: left;
margin: 0;
padding: 6px 13px; }
img {
max-width: 100%;
height: auto; }
code, tt {
margin: 0 2px;
padding: 2px 5px;
white-space: nowrap;
border: 1px solid #ccc;
background-color: #f8f8f8;
border-radius: 3px;
-moz-border-radius: 3px;
-webkit-border-radius: 3px;
font-size: 12px; }
pre > code {
margin: 0;
padding: 0;
white-space: pre;
border: 0;
background: transparent;
font-size: 13px; }
.highlight pre, pre {
background-color: #f8f8f8;
border: 1px solid #ccc;
font-size: 13px;
line-height: 19px;
overflow: auto;
padding: 6px 10px;
border-radius: 3px;
-moz-border-radius: 3px;
-webkit-border-radius: 3px; }
#wrapper > pre, #wrapper > div.highlight {
margin: 10px 0 0; }
pre code, pre tt {
background-color: transparent;
border: 0; }
#wrapper {
background-color: #fff;
/*border: 1px solid #cacaca;*/
padding: 30px; }
.poetry pre {
font-family: Georgia, Garamond, serif !important;
font-style: italic;
font-size: 110% !important;
line-height: 1.6em;
display: block;
margin-left: 1em; }
.poetry pre code {
font-family: Georgia, Garamond, serif !important; }
sup, sub, a.footnote {
font-size: 1.4ex;
height: 0;
line-height: 1;
vertical-align: super;
position: relative; }
sub {
vertical-align: sub;
top: -1px; }
@media print {
/********************************************************
Adjust the size of headings for print.
Makes size differences lesss pronounced.
*********************************************************/
h1 {
margin: 0 0 16px 0;
padding-bottom: 2px;
font-size: 28px; }
h2 {
margin: 12px 0 6px 0;
font-size: 24px; }
h3 {
margin: 12px 0 6px 0;
padding-bottom: 2px;
font-size: 20px;
/*border-bottom: 1px solid #ddd*/ }
h4 {
font-size: 18px;
line-height: 22px;
padding: 10px 0 4px 0;
margin-bottom: 6px;
font-weight: bold;
/*text-transform: uppercase*/ }
h5 {
font-size: 16px;
line-height: 22px;
padding: 8px 0 0 0;
font-weight: bold;
/*text-transform: uppercase*/ }
h6 {
/*color: #666;*/
font-size: 14px;
line-height: 22px;
padding: 8px 0 0 0;
font-weight: bold;
/*font-variant: italic*/ }
body {
background: #fff;
font-size: 12px; }
p {
margin: 0.7em !important; }
ul, ol {
margin: 0.7em 0 0.7em 25px; }
img, pre, blockquote, table, figure {
page-break-inside: avoid; }
#wrapper {
background: #fff;
border: 0; }
code {
background-color: #fff;
color: #444444 !important;
padding: 0 .2em;
border: 1px solid #dedede; }
pre code {
background-color: white !important;
overflow: visible; }
pre {
background: white; } }
@media screen {
body.inverted, .inverted #wrapper, .inverted hr .inverted p, .inverted td, .inverted li, .inverted h1, .inverted h2, .inverted h3, .inverted h4, .inverted h5, .inverted h6, .inverted th, .inverted .math, .inverted caption, .inverted dd, .inverted dt, .inverted blockquote {
color: #eeeeee !important;
border-color: #555555; }
.inverted td, .inverted th {
background: #333333; }
.inverted pre, .inverted code, .inverted tt {
background: #444444 !important; }
.inverted h2 {
border-color: #555555; }
.inverted hr {
border-color: #777;
border-width: 1px !important; }
::selection {
background: rgba(157, 193, 200, 0.5); }
h1::selection {
background-color: rgba(45, 156, 208, 0.3); }
h2::selection {
background-color: rgba(90, 182, 224, 0.3); }
h3::selection, h4::selection, h5::selection, h6::selection, li::selection, ol::selection {
background-color: rgba(133, 201, 232, 0.3); }
code::selection {
background-color: rgba(0, 0, 0, 0.7);
color: #eeeeee; }
code span::selection {
background-color: rgba(0, 0, 0, 0.7) !important;
color: #eeeeee !important; }
a::selection {
background-color: rgba(255, 230, 102, 0.2); }
.inverted a::selection {
background-color: rgba(255, 230, 102, 0.6); }
td::selection, th::selection, caption::selection {
background-color: rgba(180, 237, 95, 0.5); }
.inverted {
background: #0b2531; }
.inverted #wrapper, .inverted {
background: #252a2a; }
.inverted a {
color: #acd1d5; } }
/* @group Code Highlighting */
.highlight .c {
color: #998;
font-style: italic; }
.highlight .err {
color: #a61717;
background-color: #e3d2d2; }
.highlight .k {
font-weight: bold; }
.highlight .o {
font-weight: bold; }
.highlight .cm {
color: #998;
font-style: italic; }
.highlight .cp {
color: #999;
font-weight: bold; }
.highlight .c1 {
color: #998;
font-style: italic; }
.highlight .cs {
color: #999;
font-weight: bold;
font-style: italic; }
.highlight .gd {
color: #000;
background-color: #ffdddd; }
.highlight .gd .x {
color: #000;
background-color: #ffaaaa; }
.highlight .ge {
font-style: italic; }
.highlight .gr {
color: #aa0000; }
.highlight .gh {
color: #999999; }
.highlight .gi {
color: #000;
background-color: #ddffdd; }
.highlight .gi .x {
color: #000;
background-color: #aaffaa; }
.highlight .go {
color: #888888; }
.highlight .gp {
color: #555555; }
.highlight .gs {
font-weight: bold; }
.highlight .gu {
color: #800080;
font-weight: bold; }
.highlight .gt {
color: #aa0000; }
.highlight .kc {
font-weight: bold; }
.highlight .kd {
font-weight: bold; }
.highlight .kn {
font-weight: bold; }
.highlight .kp {
font-weight: bold; }
.highlight .kr {
font-weight: bold; }
.highlight .kt {
color: #458;
font-weight: bold; }
.highlight .m {
color: #009999; }
.highlight .s {
color: #dd1144; }
.highlight .na {
color: teal; }
.highlight .nb {
color: #0086b3; }
.highlight .nc {
color: #458;
font-weight: bold; }
.highlight .no {
color: teal; }
.highlight .ni {
color: purple; }
.highlight .ne {
color: #900;
font-weight: bold; }
.highlight .nf {
color: #900;
font-weight: bold; }
.highlight .nn {
color: #555555; }
.highlight .nt {
color: navy; }
.highlight .nv {
color: teal; }
.highlight .ow {
font-weight: bold; }
.highlight .w {
color: #bbbbbb; }
.highlight .mf {
color: #009999; }
.highlight .mh {
color: #009999; }
.highlight .mi {
color: #009999; }
.highlight .mo {
color: #009999; }
.highlight .sb {
color: #dd1144; }
.highlight .sc {
color: #dd1144; }
.highlight .sd {
color: #dd1144; }
.highlight .s2 {
color: #dd1144; }
.highlight .se {
color: #dd1144; }
.highlight .sh {
color: #dd1144; }
.highlight .si {
color: #dd1144; }
.highlight .sx {
color: #dd1144; }
.highlight .sr {
color: #009926; }
.highlight .s1 {
color: #dd1144; }
.highlight .ss {
color: #990073; }
.highlight .bp {
color: #999999; }
.highlight .vc {
color: teal; }
.highlight .vg {
color: teal; }
.highlight .vi {
color: teal; }
.highlight .il {
color: #009999; }
.highlight .gc {
color: #999;
background-color: #eaf2f5; }
.type-csharp .highlight .k {
color: blue; }
.type-csharp .highlight .kt {
color: blue; }
.type-csharp .highlight .nf {
color: #000;
font-weight: normal; }
.type-csharp .highlight .nc {
color: #2b91af; }
.type-csharp .highlight .nn {
color: black; }
.type-csharp .highlight .s {
color: #a31515; }
.type-csharp .highlight .sc {
color: #a31515; }
/* @end */
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-1)}:root .fa-rotate-90,:root .fa-rotate-180,:root .fa-rotate-270,:root .fa-flip-horizontal,:root .fa-flip-vertical{filter:none}.fa-stack{position:relative;display:inline-block;width:2em;height:2em;line-height:2em;vertical-align:middle}.fa-stack-1x,.fa-stack-2x{position:absolute;left:0;width:100%;text-align:center}.fa-stack-1x{line-height:inherit}.fa-stack-2x{font-size:2em}.fa-inverse{color:#ffffff}.fa-glass::before{content:'\f000'}.fa-music::before{content:'\f001'}.fa-search::before{content:'\f002'}.fa-envelope-o::before{content:'\f003'}.fa-heart::before{content:'\f004'}.fa-star::before{content:'\f005'}.fa-star-o::before{content:'\f006'}.fa-user::before{content:'\f007'}.fa-film::before{content:'\f008'}.fa-th-large::before{content:'\f009'}.fa-th::before{content:'\f00a'}.fa-th-list::before{content:'\f00b'}.fa-check::before{content:'\f00c'}.fa-remove::before,.fa-close::before,.fa-times::before{content:'\f00d'}.fa-search-plus::before{content:'\f00e'}.fa-search-minus::before{content:'\f010'}.fa-power-off::before{content:'\f011'}.fa-signal::before{content:'\f012'}.fa-gear::before,.fa-cog::before{content:'\f013'}.fa-trash-o::before{content:'\f014'}.fa-home::before{content:'\f015'}.fa-file-o::before{content:'\f016'}.fa-clock-o::before{content:'\f017'}.fa-road::before{content:'\f018'}.fa-download::before{content:'\f019'}.fa-arrow-circle-o-down::before{content:'\f01a'}.fa-arrow-circle-o-up::before{content:'\f01b'}.fa-inbox::before{content:'\f01c'}.fa-play-circle-o::before{content:'\f01d'}.fa-rotate-right::before,.fa-repeat::before{content:'\f01e'}.fa-refresh::before{content:'\f021'}.fa-list-alt::before{content:'\f022'}.fa-lock::before{content:'\f023'}.fa-flag::before{content:'\f024'}.fa-headphones::before{content:'\f025'}.fa-volume-off::before{content:'\f026'}.fa-volume-down::before{content:'\f027'}.fa-volume-up::before{content:'\f028'}.fa-qrcode::before{content:'\f029'}.fa-barcode::before{content:'\f02a'}.fa-tag::before{content:'\f02b'}.fa-tags::before{content:'\f02c'}.fa-book::before{content:'\f02d'}.fa-bookmark::before{content:'\f02e'}.fa-print::before{content:'\f02f'}.fa-camera::before{content:'\f030'}.fa-font::before{content:'\f031'}.fa-bold::before{content:'\f032'}.fa-italic::before{content:'\f033'}.fa-text-height::before{content:'\f034'}.fa-text-width::before{content:'\f035'}.fa-align-left::before{content:'\f036'}.fa-align-center::before{content:'\f037'}.fa-align-right::before{content:'\f038'}.fa-align-justify::before{content:'\f039'}.fa-list::before{content:'\f03a'}.fa-dedent::before,.fa-outdent::before{content:'\f03b'}.fa-indent::before{content:'\f03c'}.fa-video-camera::before{content:'\f03d'}.fa-photo::before,.fa-image::before,.fa-picture-o::before{content:'\f03e'}.fa-pencil::before{content:'\f040'}.fa-map-marker::before{content:'\f041'}.fa-adjust::before{content:'\f042'}.fa-tint::before{content:'\f043'}.fa-edit::before,.fa-pencil-square-o::before{content:'\f044'}.fa-share-square-o::before{content:'\f045'}.fa-check-square-o::before{content:'\f046'}.fa-arrows::before{content:'\f047'}.fa-step-backward::before{content:'\f048'}.fa-fast-backward::before{content:'\f049'}.fa-backward::before{content:'\f04a'}.fa-play::before{content:'\f04b'}.fa-pause::before{content:'\f04c'}.fa-stop::before{content:'\f04d'}.fa-forward::before{content:'\f04e'}.fa-fast-forward::before{content:'\f050'}.fa-step-forward::before{content:'\f051'}.fa-eject::before{content:'\f052'}.fa-chevron-left::before{content:'\f053'}.fa-chevron-right::before{content:'\f054'}.fa-plus-circle::before{content:'\f055'}.fa-minus-circle::before{content:'\f056'}.fa-times-circle::before{content:'\f057'}.fa-check-circle::before{content:'\f058'}.fa-question-circle::before{content:'\f059'}.fa-info-circle::before{content:'\f05a'}.fa-crosshairs::before{content:'\f05b'}.fa-times-circle-o::before{content:'\f05c'}.fa-check-circle-o::before{content:'\f05d'}.fa-ban::before{content:'\f05e'}.fa-arrow-left::before{content:'\f060'}.fa-arrow-right::before{content:'\f061'}.fa-arrow-up::before{content:'\f062'}.fa-arrow-down::before{content:'\f063'}.fa-mail-forward::before,.fa-share::before{content:'\f064'}.fa-expand::before{content:'\f065'}.fa-compress::before{content:'\f066'}.fa-plus::before{content:'\f067'}.fa-minus::before{content:'\f068'}.fa-asterisk::before{content:'\f069'}.fa-exclamation-circle::before{content:'\f06a'}.fa-gift::before{content:'\f06b'}.fa-leaf::before{content:'\f06c'}.fa-fire::before{content:'\f06d'}.fa-eye::before{content:'\f06e'}.fa-eye-slash::before{content:'\f070'}.fa-warning::before,.fa-exclamation-triangle::before{content:'\f071'}.fa-plane::before{content:'\f072'}.fa-calendar::before{content:'\f073'}.fa-random::before{content:'\f074'}.fa-comment::before{content:'\f075'}.fa-magnet::before{content:'\f076'}.fa-chevron-up::before{content:'\f077'}.fa-chevron-down::before{content:'\f078'}.fa-retweet::before{content:'\f079'}.fa-shopping-cart::before{content:'\f07a'}.fa-folder::before{content:'\f07b'}.fa-folder-open::before{content:'\f07c'}.fa-arrows-v::before{content:'\f07d'}.fa-arrows-h::before{content:'\f07e'}.fa-bar-chart-o::before,.fa-bar-chart::be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<p align="center">
<img src="./icons/icon.png" width="128" height="128">
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<h1>Safari Assistant for Alfred 3</h1>
<p>Search and open/activate your Safari bookmark(let)s and (iCloud) tabs from Alfred 3.</p>
<p>Includes several actions for tabs/bookmarks and allows you to add your own via scripts. Assign your favourite actions (and bookmarklets) to hotkeys.</p>
<!-- MarkdownTOC autolink="true" bracket="round" levels="2,3,4" autoanchor="true" -->
<ul>
<li><a href="#download--installation">Download & installation</a>
<ul>
<li><a href="#macos-mojave">macOS Mojave</a></li>
</ul></li>
<li><a href="#usage">Usage</a></li>
<li><a href="#configuration">Configuration</a>
<ul>
<li><a href="#blacklist">Blacklist</a></li>
</ul></li>
<li><a href="#action-scripts">Action scripts</a>
<ul>
<li><a href="#supported-languages">Supported languages</a></li>
<li><a href="#script-icons">Script icons</a></li>
<li><a href="#built-in-actions">Built-in actions</a>
<ul>
<li><a href="#tab-actions">Tab actions</a></li>
<li><a href="#url-actions">URL actions</a></li>
</ul></li>
</ul></li>
<li><a href="#history">History</a></li>
<li><a href="#licensing--thanks">Licensing & thanks</a></li>
</ul>
<!-- /MarkdownTOC -->
<p><a name="download--installation"></a>
<a id="download--installation"></a></p>
<h2>Download & installation</h2>
<p>Grab the workflow from <a href="https://github.com/deanishe/alfred-safari-assistant/releases/latest">GitHub releases</a>. Download the <code>Safari-Assistant-X.X.alfredworkflow</code> file and double-click it to install.</p>
<p><a id="macos-mojave"></a></p>
<h3>macOS Mojave</h3>
<p>If you’re running macOS 10.14 (Mojave), you must <a href="https://www.alfredapp.com/help/getting-started/macos-mojave/">grant Alfred “Full Disk Access”</a>.</p>
<p><a name="usage"></a>
<a id="usage"></a></p>
<h2>Usage</h2>
<ul>
<li><code>bh [<query>]</code> — Search and open/action bookmarks and recent history. (See <a href="#history">History</a> section below.)
<ul>
<li><code>↩</code> — Open item in browser.</li>
<li><code>⌘↩</code> — Show actions for selected item.
<ul>
<li><code>↩</code> — Run selected action.</li>
<li><code>⌘↩</code> — Add selected action to blacklist.</li>
<li><code>⌘C</code> — Copy name of action to clipboard (for setting custom actions).</li>
</ul></li>
<li><code>⌥↩</code> — Run custom action on selected item.</li>
<li><code>^↩</code> — Run custom action on selected item.</li>
<li><code>fn↩</code> — Run custom action on selected item.</li>
<li><code>⇧↩</code> — Run custom action on selected item.</li>
</ul></li>
<li><code>bm [<query>]</code> — Search and open/action bookmarks.
<ul>
<li><code>↩</code>, <code>⌘↩</code>, <code>⌥↩</code>, <code>^↩</code>, <code>fn↩</code>, <code>⇧↩</code> — As above.</li>
</ul></li>
<li><code>bml [<query>]</code> — Search and run bookmarklets.
<ul>
<li><code>↩</code> — Run bookmarklet in active tab.</li>
<li><code>⌘C</code> — Copy bookmarklet ID to clipboard (for setting custom URL actions).</li>
</ul></li>
<li><code>bmf [<query>]</code> — Search bookmark folders.
<ul>
<li><code>↩</code> — Enter folder/open bookmark.</li>
<li><code>⌘↩</code> — Open all bookmarks in folder/show URL actions for bookmark.</li>
</ul></li>
<li><code>hi [<query>]</code> — Search and open/action history entries. (See <a href="#history">History</a> section below.)
<ul>
<li><code>↩</code>, <code>⌘↩</code>, <code>⌥↩</code>, <code>^↩</code>, <code>fn↩</code>, <code>⇧↩</code> — As above.</li>
</ul></li>
<li><code>rl [<query>]</code> — Search and open/action Reading List entries.
<ul>
<li><code>↩</code>, <code>⌘↩</code>, <code>⌥↩</code>, <code>^↩</code>, <code>fn↩</code>, <code>⇧↩</code> — As above.</li>
</ul></li>
<li><code>tab [<query>]</code> — Search and activate/action Safari tabs.
<ul>
<li><code>↩</code> — Activate the selected tab.</li>
<li><code>⌘↩</code>, <code>⌥↩</code>, <code>^↩</code>, <code>fn↩</code>, <code>⇧↩</code> — As above.</li>
</ul></li>
<li><code>itab [<query>]</code> — Search and open Cloud Tabs from other machines.
<ul>
<li><code>↩</code> — Open the selected tab (URL).</li>
<li><code>⌘↩</code>, <code>⌥↩</code>, <code>^↩</code>, <code>fn↩</code>, <code>⇧↩</code> — As above.</li>
</ul></li>
<li><code>safass</code> — Show help and configuration options.
<ul>
<li><code>View Help File</code> — Open the workflow help file.</li>
<li><code>Edit Action Blacklist</code> — Add/remove actions to blacklist.</li>
<li><code>Check for Update</code> — Force manual check for update.</li>
<li><code>Report Problem on GitHub</code> — Open GitHub issue tracker in your browser.</li>
<li><code>Visit Forum Thread</code> — Open the <a href="https://www.alfredforum.com/topic/10921-safari-assistant/">workflow’s thread</a> on <a href="https://www.alfredforum.com/">alfredforum.com</a>.</li>
</ul></li>
</ul>
<p><a name="configuration"></a>
<a id="configuration"></a></p>
<h2>Configuration</h2>
<p>There are several settings in the workflow’s configuration sheet:</p>
<ul>
<li><code>ALSF_HISTORY_ENTRIES</code>. Number of recent history entries to load for <code>bh</code> action (search bookmarks and recent history).</li>
<li><code>ALSF_INCLUDE_BOOKMARKLETS</code>. Set this to <code>1</code> to include bookmarklets in the normal bookmark search (<code>bm</code>).</li>
<li><code>ALSF_SEARCH_HOSTNAMES</code>. Set this to <code>1</code> to also search URL/tab hostnames in addition to titles.</li>
</ul>
<p>The following settings assign actions for tabs/URLs:</p>
<table>
<colgroup>
<col style="text-align:left;"/>
<col style="text-align:left;"/>
</colgroup>
<thead>
<tr>
<th style="text-align:left;">Key</th>
<th style="text-align:left;">Action</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;"><code>ALSF_TAB_CTRL</code></td>
<td style="text-align:left;"><code>^↩</code> custom action/bookmarklet for tab</td>
</tr>
<tr>
<td style="text-align:left;"><code>ALSF_TAB_OPT</code></td>
<td style="text-align:left;"><code>⌥↩</code> custom action/bookmarklet for tab</td>
</tr>
<tr>
<td style="text-align:left;"><code>ALSF_TAB_FN</code></td>
<td style="text-align:left;"><code>fn↩</code> custom action/bookmarklet for tab</td>
</tr>
<tr>
<td style="text-align:left;"><code>ALSF_TAB_SHIFT</code></td>
<td style="text-align:left;"><code>⇧↩</code> custom action/bookmarklet for tab</td>
</tr>
<tr>
<td style="text-align:left;"><code>ALSF_URL_DEFAULT</code></td>
<td style="text-align:left;"><code>↩</code> default action for bookmark/history entry</td>
</tr>
<tr>
<td style="text-align:left;"><code>ALSF_URL_CTRL</code></td>
<td style="text-align:left;"><code>^↩</code> custom action for bookmark/history entry</td>
</tr>
<tr>
<td style="text-align:left;"><code>ALSF_URL_OPT</code></td>
<td style="text-align:left;"><code>⌥↩</code> custom action for bookmark/history entry</td>
</tr>
<tr>
<td style="text-align:left;"><code>ALSF_URL_FN</code></td>
<td style="text-align:left;"><code>fn↩</code> custom action for bookmark/history entry</td>
</tr>
<tr>
<td style="text-align:left;"><code>ALSF_URL_SHIFT</code></td>
<td style="text-align:left;"><code>⇧↩</code> custom action for bookmark/history entry</td>
</tr>
</tbody>
</table>
<p><code>ALSF_URL_DEFAULT</code> is the default script used to open URLs. The default setting is <code>Open in Safari</code>.</p>
<p>The <code>ALSF_TAB_*</code> variables assign custom actions or bookmarklets available when browsing Safari tabs. The <code>ALSF_URL_*</code> variables assign custom actions (<em>not</em> bookmarklets) to bookmarks and history entries.</p>
<p>To assign a script action, enter the corresponding script’s name (without extension) as the value for the variable. To assign a bookmarklet, use <code>bkm:<UID></code> where <code><UID></code> is the bookmarklet’s UID.</p>
<p>In either case, press <code>⌘C</code> on an action or bookmarklet in Alfred’s UI to copy the corresponding value, then paste it into the configuration sheet as the value for the appropriate variable.</p>
<p><a name="blacklist"></a>
<a id="blacklist"></a></p>
<h3>Blacklist</h3>
<p>As some of the built-in actions may not be of any interest to some users (e.g. you don’t have/use Firefox), they can be blacklisted so they are no longer shown in the list of actions.</p>
<p>You can blacklist an action directly from Alfred by pressing <code>⌘↩</code> on an action in the action list.</p>
<p>To remove an action from the blacklist, you must edit the <code>blacklist.txt</code> file directly. To do this, enter keyword <code>safass</code> in Alfred and choose <code>Edit Action Blacklist</code> from the list. This will open <code>blacklist.txt</code> in your default text-file editor.</p>
<p>If you add any actions to the blacklist manually, add one action (file)name per line, not including the file extension.</p>
<p><a name="action-scripts"></a>
<a id="action-scripts"></a></p>
<h2>Action scripts</h2>
<p>Much of the workflow’s functionality is implemented via built-in scripts. You can also add your own scripts to provide additional tab and/or URL actions by placing the scripts in the appropriate directories.</p>
<p>To open the user script directory, enter the <code>safass</code> keyword into Alfred and choose the <code>User Scripts</code> option, which will reveal the <code>scripts</code> directory in Finder.</p>
<p>Scripts go in a subdirectory of the <code>scripts</code> directory depending on the type. Tab scripts go in <code>scripts/tab</code>, URL scripts in <code>scripts/url</code>.</p>
<p>When you view actions for a Safari tab, both tab and URL actions are listed (provided the tab has a valid URL). When you action a bookmark, only URL actions are listed.</p>
<p>Tab scripts are called with the indices of the selected window and tab as <code>$1</code> and <code>$2</code>. So if the third tab of the second Safari window is active, your script is called as <code>/path/to/script 2 3</code>.</p>
<p>URL scripts are called with the URL of the selected bookmark or tab as <code>$1</code>, e.g. <code>/path/to/script http://www.example.com</code>.</p>
<p>See the built-in scripts (in the <code>scripts</code> subdirectory of the workflow) for examples of how to implement them.</p>
<p>If you create a script with the same name (minus extension) as one of the built-ins, it will override the built-in script.</p>
<p><a name="supported-languages"></a>
<a id="supported-languages"></a></p>
<h3>Supported languages</h3>
<p>The workflow knows to run <code>.scpt</code>, <code>.js</code>, <code>.applescript</code> and <code>.scptd</code> scripts via <code>/usr/bin/osascript</code>. It can also run any script/program with its executable bit set (it will call these directly).</p>
<p><a name="script-icons"></a>
<a id="script-icons"></a></p>
<h3>Script icons</h3>
<p>By default, tab scripts get a tab icon and URL scripts a URL one. You can supply a custom icon for any script by saving the icon alongside the script with the same basename (i.e. the same name as the script, only with a different file extension). Supported icon extensions are <code>.png</code>, <code>.icns</code>, <code>.jpg</code>, <code>.jpeg</code> and <code>.gif</code>.</p>
<p><a name="built-in-actions"></a>
<a id="built-in-actions"></a></p>
<h3>Built-in actions</h3>
<p>The following actions are built into the workflow, either hard-coded or as bundled scripts (in the <code>scripts</code> subdirectory of the workflow).</p>
<p><a name="tab-actions"></a>
<a id="tab-actions"></a></p>
<h4>Tab actions</h4>
<p>These actions are available for tabs only.</p>
<ul>
<li>Close Tab</li>
<li>Close Window</li>
<li>Close Tabs to Left</li>
<li>Close Tabs to Right</li>
</ul>
<p><a name="url-actions"></a>
<a id="url-actions"></a></p>
<h4>URL actions</h4>
<p>These actions are available for bookmarks and tabs (that have URLs).</p>
<ul>
<li>Open URL in Default Browser</li>
<li>Open in Chrome</li>
<li>Open in Firefox</li>
<li>Open in Private Window</li>
</ul>
<p><a name="history"></a>
<a id="history"></a></p>
<h2>History</h2>
<p>In Sierra and earlier, it was possible to search Safari’s history with a File Filter. Unfortunately, the exported history files were removed in High Sierra, so it’s now necessary to search Safari’s SQLite History database instead.</p>
<p>The workflow accesses this database in two different ways.</p>
<p>The history search (keyword <code>hi</code>) uses SQLite’s own search function, as there are too many entries to load and/or fuzzy search. As a result, the history search does <em>not</em> use fuzzy search.</p>
<p>The combined bookmark and recent history search (keyword <code>bh</code>) does use fuzzy search, but the trade-off is that it only reads a limited number of the most recent entries from the history database (specified by the <code>ALSF_HISTORY_ENTRIES</code> configuration option; 1000 by default).</p>
<p>Depending on the speed of your Mac and your own tolerance for slowness, you may be able to increase this number significantly.</p>
<p><a name="licensing--thanks"></a>
<a id="licensing--thanks"></a></p>
<h2>Licensing & thanks</h2>
<p>This workflow is released under the <a href="https://opensource.org/licenses/MIT">MIT Licence</a>.</p>
<p>It is heavily based on the <a href="https://github.com/alecthomas/kingpin">Kingpin</a> and <a href="https://github.com/deanishe/awgo">AwGo</a> libraries (both also <a href="https://opensource.org/licenses/MIT">MIT</a>).</p>
<p>The icons are from <a href="https://github.com/aristath/elusive-iconfont">Elusive Icons</a>, <a href="http://fortawesome.github.io/Font-Awesome/">Font Awesome</a>, <a href="http://zavoloklom.github.io/material-design-iconic-font/">Material Icons</a> (all <a href="http://scripts.sil.org/cms/scripts/page.php?site_id=nrsi&id=OFL">SIL</a>) and <a href="https://octicons.github.com/">Octicons</a> (<a href="https://opensource.org/licenses/MIT">MIT</a>), via the <a href="http://icons.deanishe.net">workflow icon generator</a>.</p>
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ColorRules ColorSelectorSettings ColorSeparate ColorSetter ColorSetterBox ColorSetterBoxOptions ColorSlider ColorSpace Column ColumnAlignments ColumnBackgrounds ColumnForm ColumnLines ColumnsEqual ColumnSpacings ColumnWidths CommonDefaultFormatTypes Commonest CommonestFilter CommonUnits CommunityBoundaryStyle CommunityGraphPlot CommunityLabels CommunityRegionStyle CompatibleUnitQ CompilationOptions CompilationTarget Compile Compiled CompiledFunction Complement CompleteGraph CompleteGraphQ CompleteKaryTree CompletionsListPacket Complex Complexes ComplexExpand ComplexInfinity ComplexityFunction ComponentMeasurements ComponentwiseContextMenu Compose ComposeList ComposeSeries Composition CompoundExpression CompoundPoissonDistribution CompoundPoissonProcess CompoundRenewalProcess Compress CompressedData Condition ConditionalExpression Conditioned Cone ConeBox ConfidenceLevel ConfidenceRange ConfidenceTransform ConfigurationPath Congruent Conjugate ConjugateTranspose Conjunction Connect ConnectedComponents ConnectedGraphQ ConnesWindow ConoverTest ConsoleMessage ConsoleMessagePacket ConsolePrint Constant ConstantArray Constants ConstrainedMax ConstrainedMin ContentPadding ContentsBoundingBox ContentSelectable ContentSize Context ContextMenu Contexts ContextToFilename ContextToFileName Continuation Continue ContinuedFraction ContinuedFractionK ContinuousAction ContinuousMarkovProcess ContinuousTimeModelQ ContinuousWaveletData ContinuousWaveletTransform ContourDetect ContourGraphics ContourIntegral ContourLabels ContourLines ContourPlot ContourPlot3D Contours ContourShading ContourSmoothing ContourStyle ContraharmonicMean Control ControlActive ControlAlignment ControllabilityGramian ControllabilityMatrix ControllableDecomposition ControllableModelQ ControllerDuration ControllerInformation ControllerInformationData ControllerLinking ControllerManipulate ControllerMethod ControllerPath ControllerState ControlPlacement ControlsRendering ControlType Convergents ConversionOptions ConversionRules ConvertToBitmapPacket ConvertToPostScript ConvertToPostScriptPacket Convolve ConwayGroupCo1 ConwayGroupCo2 ConwayGroupCo3 CoordinateChartData CoordinatesToolOptions CoordinateTransform CoordinateTransformData CoprimeQ Coproduct CopulaDistribution Copyable CopyDirectory CopyFile CopyTag CopyToClipboard CornerFilter CornerNeighbors Correlation CorrelationDistance CorrelationFunction CorrelationTest Cos Cosh CoshIntegral CosineDistance CosineWindow CosIntegral Cot Coth Count CounterAssignments CounterBox CounterBoxOptions CounterClockwiseContourIntegral CounterEvaluator CounterFunction CounterIncrements CounterStyle CounterStyleMenuListing CountRoots CountryData Covariance CovarianceEstimatorFunction CovarianceFunction CoxianDistribution CoxIngersollRossProcess CoxModel CoxModelFit CramerVonMisesTest CreateArchive CreateDialog CreateDirectory CreateDocument CreateIntermediateDirectories CreatePalette CreatePalettePacket CreateScheduledTask CreateTemporary CreateWindow CriticalityFailureImportance CriticalitySuccessImportance CriticalSection Cross CrossingDetect CrossMatrix Csc Csch CubeRoot Cubics Cuboid CuboidBox Cumulant CumulantGeneratingFunction Cup CupCap Curl CurlyDoubleQuote CurlyQuote CurrentImage CurrentlySpeakingPacket CurrentValue CurvatureFlowFilter CurveClosed Cyan CycleGraph CycleIndexPolynomial Cycles CyclicGroup Cyclotomic Cylinder CylinderBox CylindricalDecomposition D DagumDistribution DamerauLevenshteinDistance DampingFactor Darker Dashed Dashing DataCompression DataDistribution DataRange DataReversed Date DateDelimiters DateDifference DateFunction DateList DateListLogPlot DateListPlot DatePattern DatePlus DateRange DateString DateTicksFormat DaubechiesWavelet DavisDistribution DawsonF DayCount DayCountConvention DayMatchQ DayName DayPlus DayRange DayRound DeBruijnGraph Debug DebugTag Decimal DeclareKnownSymbols DeclarePackage Decompose Decrement DedekindEta Default DefaultAxesStyle DefaultBaseStyle DefaultBoxStyle DefaultButton DefaultColor DefaultControlPlacement DefaultDuplicateCellStyle DefaultDuration DefaultElement DefaultFaceGridsStyle DefaultFieldHintStyle DefaultFont DefaultFontProperties DefaultFormatType DefaultFormatTypeForStyle DefaultFrameStyle DefaultFrameTicksStyle DefaultGridLinesStyle DefaultInlineFormatType DefaultInputFormatType DefaultLabelStyle DefaultMenuStyle DefaultNaturalLanguage DefaultNewCellStyle DefaultNewInlineCellStyle DefaultNotebook DefaultOptions DefaultOutputFormatType DefaultStyle DefaultStyleDefinitions DefaultTextFormatType DefaultTextInlineFormatType DefaultTicksStyle DefaultTooltipStyle DefaultValues Defer DefineExternal DefineInputStreamMethod DefineOutputStreamMethod Definition Degree DegreeCentrality DegreeGraphDistribution DegreeLexicographic DegreeReverseLexicographic Deinitialization Del Deletable Delete DeleteBorderComponents DeleteCases DeleteContents DeleteDirectory DeleteDuplicates DeleteFile DeleteSmallComponents DeleteWithContents DeletionWarning Delimiter DelimiterFlashTime DelimiterMatching Delimiters Denominator DensityGraphics DensityHistogram DensityPlot DependentVariables Deploy Deployed Depth DepthFirstScan Derivative DerivativeFilter DescriptorStateSpace DesignMatrix Det DGaussianWavelet DiacriticalPositioning Diagonal DiagonalMatrix Dialog DialogIndent DialogInput DialogLevel DialogNotebook DialogProlog DialogReturn DialogSymbols Diamond DiamondMatrix DiceDissimilarity DictionaryLookup DifferenceDelta DifferenceOrder DifferenceRoot DifferenceRootReduce Differences DifferentialD DifferentialRoot DifferentialRootReduce DifferentiatorFilter DigitBlock DigitBlockMinimum DigitCharacter DigitCount DigitQ DihedralGroup Dilation Dimensions DiracComb DiracDelta DirectedEdge DirectedEdges DirectedGraph DirectedGraphQ DirectedInfinity Direction Directive Directory DirectoryName DirectoryQ DirectoryStack DirichletCharacter DirichletConvolve DirichletDistribution DirichletL DirichletTransform DirichletWindow DisableConsolePrintPacket DiscreteChirpZTransform DiscreteConvolve DiscreteDelta DiscreteHadamardTransform DiscreteIndicator DiscreteLQEstimatorGains DiscreteLQRegulatorGains DiscreteLyapunovSolve DiscreteMarkovProcess DiscretePlot DiscretePlot3D DiscreteRatio DiscreteRiccatiSolve DiscreteShift DiscreteTimeModelQ DiscreteUniformDistribution DiscreteVariables DiscreteWaveletData DiscreteWaveletPacketTransform DiscreteWaveletTransform Discriminant Disjunction Disk DiskBox DiskMatrix Dispatch DispersionEstimatorFunction Display DisplayAllSteps DisplayEndPacket DisplayFlushImagePacket DisplayForm DisplayFunction DisplayPacket DisplayRules DisplaySetSizePacket DisplayString DisplayTemporary DisplayWith DisplayWithRef DisplayWithVariable DistanceFunction DistanceTransform Distribute Distributed DistributedContexts DistributeDefinitions DistributionChart DistributionDomain DistributionFitTest DistributionParameterAssumptions DistributionParameterQ Dithering Div Divergence Divide DivideBy Dividers Divisible Divisors DivisorSigma DivisorSum DMSList DMSString Do DockedCells DocumentNotebook DominantColors DOSTextFormat Dot DotDashed DotEqual Dotted DoubleBracketingBar DoubleContourIntegral DoubleDownArrow DoubleLeftArrow DoubleLeftRightArrow DoubleLeftTee DoubleLongLeftArrow DoubleLongLeftRightArrow DoubleLongRightArrow DoubleRightArrow DoubleRightTee DoubleUpArrow DoubleUpDownArrow DoubleVerticalBar DoublyInfinite Down DownArrow DownArrowBar DownArrowUpArrow DownLeftRightVector DownLeftTeeVector DownLeftVector DownLeftVectorBar DownRightTeeVector DownRightVector DownRightVectorBar Downsample DownTee DownTeeArrow DownValues DragAndDrop DrawEdges DrawFrontFaces DrawHighlighted Drop DSolve Dt DualLinearProgramming DualSystemsModel DumpGet DumpSave DuplicateFreeQ Dynamic DynamicBox DynamicBoxOptions DynamicEvaluationTimeout DynamicLocation DynamicModule DynamicModuleBox DynamicModuleBoxOptions DynamicModuleParent DynamicModuleValues DynamicName DynamicNamespace DynamicReference DynamicSetting DynamicUpdating DynamicWrapper DynamicWrapperBox DynamicWrapperBoxOptions E EccentricityCentrality EdgeAdd EdgeBetweennessCentrality EdgeCapacity EdgeCapForm EdgeColor EdgeConnectivity EdgeCost EdgeCount EdgeCoverQ EdgeDashing EdgeDelete EdgeDetect EdgeForm EdgeIndex EdgeJoinForm EdgeLabeling EdgeLabels EdgeLabelStyle EdgeList EdgeOpacity EdgeQ EdgeRenderingFunction EdgeRules EdgeShapeFunction EdgeStyle EdgeThickness EdgeWeight Editable EditButtonSettings EditCellTagsSettings EditDistance EffectiveInterest Eigensystem Eigenvalues EigenvectorCentrality Eigenvectors Element ElementData Eliminate EliminationOrder EllipticE EllipticExp EllipticExpPrime EllipticF EllipticFilterModel EllipticK EllipticLog EllipticNomeQ EllipticPi EllipticReducedHalfPeriods EllipticTheta EllipticThetaPrime EmitSound EmphasizeSyntaxErrors EmpiricalDistribution Empty EmptyGraphQ EnableConsolePrintPacket Enabled Encode End EndAdd EndDialogPacket EndFrontEndInteractionPacket EndOfFile EndOfLine EndOfString EndPackage EngineeringForm Enter EnterExpressionPacket EnterTextPacket Entropy EntropyFilter Environment Epilog Equal EqualColumns EqualRows EqualTilde EquatedTo Equilibrium EquirippleFilterKernel Equivalent Erf Erfc Erfi ErlangB ErlangC ErlangDistribution Erosion ErrorBox ErrorBoxOptions ErrorNorm ErrorPacket ErrorsDialogSettings EstimatedDistribution EstimatedProcess EstimatorGains EstimatorRegulator EuclideanDistance EulerE EulerGamma EulerianGraphQ EulerPhi Evaluatable Evaluate Evaluated EvaluatePacket EvaluationCell EvaluationCompletionAction EvaluationElements EvaluationMode EvaluationMonitor EvaluationNotebook EvaluationObject EvaluationOrder Evaluator EvaluatorNames EvenQ EventData EventEvaluator EventHandler EventHandlerTag EventLabels ExactBlackmanWindow ExactNumberQ ExactRootIsolation ExampleData Except ExcludedForms ExcludePods Exclusions ExclusionsStyle Exists Exit ExitDialog Exp Expand ExpandAll ExpandDenominator ExpandFileName ExpandNumerator Expectation ExpectationE ExpectedValue ExpGammaDistribution ExpIntegralE ExpIntegralEi Exponent ExponentFunction ExponentialDistribution ExponentialFamily ExponentialGeneratingFunction ExponentialMovingAverage ExponentialPowerDistribution ExponentPosition ExponentStep Export ExportAutoReplacements ExportPacket ExportString Expression ExpressionCell ExpressionPacket ExpToTrig ExtendedGCD Extension ExtentElementFunction ExtentMarkers ExtentSize ExternalCall ExternalDataCharacterEncoding Extract ExtractArchive ExtremeValueDistribution FaceForm FaceGrids FaceGridsStyle Factor FactorComplete Factorial Factorial2 FactorialMoment FactorialMomentGeneratingFunction FactorialPower FactorInteger FactorList FactorSquareFree FactorSquareFreeList FactorTerms FactorTermsList Fail FailureDistribution False FARIMAProcess FEDisableConsolePrintPacket FeedbackSector FeedbackSectorStyle FeedbackType FEEnableConsolePrintPacket Fibonacci FieldHint FieldHintStyle FieldMasked FieldSize File FileBaseName FileByteCount FileDate FileExistsQ FileExtension FileFormat FileHash FileInformation FileName FileNameDepth FileNameDialogSettings FileNameDrop FileNameJoin FileNames FileNameSetter FileNameSplit FileNameTake FilePrint FileType FilledCurve FilledCurveBox Filling FillingStyle FillingTransform FilterRules FinancialBond FinancialData FinancialDerivative FinancialIndicator Find FindArgMax FindArgMin FindClique FindClusters FindCurvePath FindDistributionParameters FindDivisions FindEdgeCover FindEdgeCut FindEulerianCycle FindFaces FindFile FindFit FindGeneratingFunction FindGeoLocation FindGeometricTransform FindGraphCommunities FindGraphIsomorphism FindGraphPartition FindHamiltonianCycle FindIndependentEdgeSet FindIndependentVertexSet FindInstance FindIntegerNullVector FindKClan FindKClique FindKClub FindKPlex FindLibrary FindLinearRecurrence FindList FindMaximum FindMaximumFlow FindMaxValue FindMinimum FindMinimumCostFlow FindMinimumCut FindMinValue FindPermutation FindPostmanTour FindProcessParameters FindRoot FindSequenceFunction FindSettings FindShortestPath FindShortestTour FindThreshold FindVertexCover FindVertexCut Fine FinishDynamic FiniteAbelianGroupCount FiniteGroupCount FiniteGroupData First FirstPassageTimeDistribution FischerGroupFi22 FischerGroupFi23 FischerGroupFi24Prime FisherHypergeometricDistribution FisherRatioTest FisherZDistribution Fit FitAll FittedModel FixedPoint FixedPointList FlashSelection Flat Flatten FlattenAt FlatTopWindow FlipView Floor FlushPrintOutputPacket Fold FoldList Font FontColor FontFamily FontForm FontName FontOpacity FontPostScriptName FontProperties FontReencoding FontSize FontSlant FontSubstitutions FontTracking FontVariations FontWeight For ForAll Format FormatRules FormatType FormatTypeAutoConvert FormatValues FormBox FormBoxOptions FortranForm Forward ForwardBackward Fourier FourierCoefficient FourierCosCoefficient FourierCosSeries FourierCosTransform FourierDCT FourierDCTFilter FourierDCTMatrix FourierDST FourierDSTMatrix FourierMatrix FourierParameters FourierSequenceTransform FourierSeries FourierSinCoefficient FourierSinSeries FourierSinTransform FourierTransform FourierTrigSeries FractionalBrownianMotionProcess FractionalPart FractionBox FractionBoxOptions FractionLine Frame FrameBox FrameBoxOptions Framed FrameInset FrameLabel Frameless FrameMargins FrameStyle FrameTicks FrameTicksStyle FRatioDistribution FrechetDistribution FreeQ FrequencySamplingFilterKernel FresnelC FresnelS Friday FrobeniusNumber FrobeniusSolve FromCharacterCode FromCoefficientRules FromContinuedFraction FromDate FromDigits FromDMS Front FrontEndDynamicExpression FrontEndEventActions FrontEndExecute FrontEndObject FrontEndResource FrontEndResourceString FrontEndStackSize FrontEndToken FrontEndTokenExecute FrontEndValueCache FrontEndVersion FrontFaceColor FrontFaceOpacity Full FullAxes FullDefinition FullForm FullGraphics FullOptions FullSimplify Function FunctionExpand FunctionInterpolation FunctionSpace FussellVeselyImportance GaborFilter GaborMatrix GaborWavelet GainMargins GainPhaseMargins Gamma GammaDistribution GammaRegularized GapPenalty Gather GatherBy GaugeFaceElementFunction GaugeFaceStyle GaugeFrameElementFunction GaugeFrameSize GaugeFrameStyle GaugeLabels GaugeMarkers GaugeStyle GaussianFilter GaussianIntegers GaussianMatrix GaussianWindow GCD GegenbauerC General GeneralizedLinearModelFit GenerateConditions GeneratedCell GeneratedParameters GeneratingFunction Generic GenericCylindricalDecomposition GenomeData GenomeLookup GeodesicClosing GeodesicDilation GeodesicErosion GeodesicOpening GeoDestination GeodesyData GeoDirection GeoDistance GeoGridPosition GeometricBrownianMotionProcess GeometricDistribution GeometricMean GeometricMeanFilter GeometricTransformation GeometricTransformation3DBox GeometricTransformation3DBoxOptions GeometricTransformationBox GeometricTransformationBoxOptions GeoPosition GeoPositionENU GeoPositionXYZ GeoProjectionData GestureHandler GestureHandlerTag Get GetBoundingBoxSizePacket GetContext GetEnvironment GetFileName GetFrontEndOptionsDataPacket GetLinebreakInformationPacket GetMenusPacket GetPageBreakInformationPacket Glaisher GlobalClusteringCoefficient GlobalPreferences GlobalSession Glow GoldenRatio GompertzMakehamDistribution GoodmanKruskalGamma GoodmanKruskalGammaTest Goto Grad Gradient GradientFilter GradientOrientationFilter Graph GraphAssortativity GraphCenter GraphComplement GraphData GraphDensity GraphDiameter GraphDifference GraphDisjointUnion GraphDistance GraphDistanceMatrix GraphElementData GraphEmbedding GraphHighlight GraphHighlightStyle GraphHub Graphics Graphics3D Graphics3DBox Graphics3DBoxOptions GraphicsArray GraphicsBaseline GraphicsBox GraphicsBoxOptions GraphicsColor GraphicsColumn GraphicsComplex GraphicsComplex3DBox GraphicsComplex3DBoxOptions GraphicsComplexBox GraphicsComplexBoxOptions GraphicsContents GraphicsData GraphicsGrid GraphicsGridBox GraphicsGroup GraphicsGroup3DBox GraphicsGroup3DBoxOptions GraphicsGroupBox GraphicsGroupBoxOptions GraphicsGrouping GraphicsHighlightColor GraphicsRow GraphicsSpacing GraphicsStyle GraphIntersection GraphLayout GraphLinkEfficiency GraphPeriphery GraphPlot GraphPlot3D GraphPower GraphPropertyDistribution GraphQ GraphRadius GraphReciprocity GraphRoot GraphStyle GraphUnion Gray GrayLevel GreatCircleDistance Greater GreaterEqual GreaterEqualLess GreaterFullEqual GreaterGreater GreaterLess GreaterSlantEqual GreaterTilde Green Grid GridBaseline GridBox GridBoxAlignment GridBoxBackground GridBoxDividers GridBoxFrame GridBoxItemSize GridBoxItemStyle GridBoxOptions GridBoxSpacings GridCreationSettings GridDefaultElement GridElementStyleOptions GridFrame GridFrameMargins GridGraph GridLines GridLinesStyle GroebnerBasis GroupActionBase GroupCentralizer GroupElementFromWord GroupElementPosition GroupElementQ GroupElements GroupElementToWord GroupGenerators GroupMultiplicationTable GroupOrbits GroupOrder GroupPageBreakWithin GroupSetwiseStabilizer GroupStabilizer GroupStabilizerChain Gudermannian GumbelDistribution HaarWavelet HadamardMatrix HalfNormalDistribution HamiltonianGraphQ HammingDistance HammingWindow HankelH1 HankelH2 HankelMatrix HannPoissonWindow HannWindow HaradaNortonGroupHN HararyGraph HarmonicMean HarmonicMeanFilter HarmonicNumber Hash HashTable Haversine HazardFunction Head HeadCompose Heads HeavisideLambda HeavisidePi HeavisideTheta HeldGroupHe HeldPart HelpBrowserLookup HelpBrowserNotebook HelpBrowserSettings HermiteDecomposition HermiteH HermitianMatrixQ HessenbergDecomposition Hessian HexadecimalCharacter Hexahedron HexahedronBox HexahedronBoxOptions HiddenSurface HighlightGraph HighlightImage HighpassFilter HigmanSimsGroupHS HilbertFilter HilbertMatrix Histogram Histogram3D HistogramDistribution HistogramList HistogramTransform HistogramTransformInterpolation HitMissTransform HITSCentrality HodgeDual HoeffdingD HoeffdingDTest Hold HoldAll HoldAllComplete HoldComplete HoldFirst HoldForm HoldPattern HoldRest HolidayCalendar HomeDirectory HomePage Horizontal HorizontalForm HorizontalGauge HorizontalScrollPosition HornerForm HotellingTSquareDistribution HoytDistribution HTMLSave Hue HumpDownHump HumpEqual HurwitzLerchPhi HurwitzZeta HyperbolicDistribution HypercubeGraph HyperexponentialDistribution Hyperfactorial Hypergeometric0F1 Hypergeometric0F1Regularized Hypergeometric1F1 Hypergeometric1F1Regularized Hypergeometric2F1 Hypergeometric2F1Regularized HypergeometricDistribution HypergeometricPFQ HypergeometricPFQRegularized HypergeometricU Hyperlink HyperlinkCreationSettings Hyphenation HyphenationOptions HypoexponentialDistribution HypothesisTestData I Identity IdentityMatrix If IgnoreCase Im Image Image3D Image3DSlices ImageAccumulate ImageAdd ImageAdjust ImageAlign ImageApply ImageAspectRatio ImageAssemble ImageCache ImageCacheValid ImageCapture ImageChannels ImageClip ImageColorSpace ImageCompose ImageConvolve ImageCooccurrence ImageCorners ImageCorrelate ImageCorrespondingPoints ImageCrop ImageData ImageDataPacket ImageDeconvolve ImageDemosaic ImageDifference ImageDimensions ImageDistance ImageEffect ImageFeatureTrack ImageFileApply ImageFileFilter ImageFileScan ImageFilter ImageForestingComponents ImageForwardTransformation ImageHistogram ImageKeypoints ImageLevels ImageLines ImageMargins ImageMarkers ImageMeasurements ImageMultiply ImageOffset ImagePad ImagePadding ImagePartition ImagePeriodogram ImagePerspectiveTransformation ImageQ ImageRangeCache ImageReflect ImageRegion ImageResize ImageResolution ImageRotate ImageRotated ImageScaled ImageScan ImageSize ImageSizeAction ImageSizeCache ImageSizeMultipliers ImageSizeRaw ImageSubtract ImageTake ImageTransformation ImageTrim ImageType ImageValue ImageValuePositions Implies Import ImportAutoReplacements ImportString ImprovementImportance In IncidenceGraph IncidenceList IncidenceMatrix IncludeConstantBasis IncludeFileExtension IncludePods IncludeSingularTerm Increment Indent IndentingNewlineSpacings IndentMaxFraction IndependenceTest IndependentEdgeSetQ IndependentUnit IndependentVertexSetQ Indeterminate IndexCreationOptions Indexed IndexGraph IndexTag Inequality InexactNumberQ InexactNumbers Infinity Infix Information Inherited InheritScope Initialization InitializationCell InitializationCellEvaluation InitializationCellWarning InlineCounterAssignments InlineCounterIncrements InlineRules Inner Inpaint Input InputAliases InputAssumptions InputAutoReplacements InputField InputFieldBox InputFieldBoxOptions InputForm InputGrouping InputNamePacket InputNotebook InputPacket InputSettings InputStream InputString InputStringPacket InputToBoxFormPacket Insert InsertionPointObject InsertResults Inset Inset3DBox Inset3DBoxOptions InsetBox InsetBoxOptions Install InstallService InString Integer IntegerDigits IntegerExponent IntegerLength IntegerPart IntegerPartitions IntegerQ Integers IntegerString Integral Integrate Interactive InteractiveTradingChart Interlaced Interleaving InternallyBalancedDecomposition InterpolatingFunction InterpolatingPolynomial Interpolation InterpolationOrder InterpolationPoints InterpolationPrecision Interpretation InterpretationBox InterpretationBoxOptions InterpretationFunction InterpretTemplate InterquartileRange Interrupt InterruptSettings Intersection Interval IntervalIntersection IntervalMemberQ IntervalUnion Inverse InverseBetaRegularized InverseCDF InverseChiSquareDistribution InverseContinuousWaveletTransform InverseDistanceTransform InverseEllipticNomeQ InverseErf InverseErfc InverseFourier InverseFourierCosTransform InverseFourierSequenceTransform InverseFourierSinTransform InverseFourierTransform InverseFunction InverseFunctions InverseGammaDistribution InverseGammaRegularized InverseGaussianDistribution InverseGudermannian InverseHaversine InverseJacobiCD InverseJacobiCN InverseJacobiCS InverseJacobiDC InverseJacobiDN InverseJacobiDS InverseJacobiNC InverseJacobiND InverseJacobiNS InverseJacobiSC InverseJacobiSD InverseJacobiSN InverseLaplaceTransform InversePermutation InverseRadon InverseSeries InverseSurvivalFunction InverseWaveletTransform InverseWeierstrassP InverseZTransform Invisible InvisibleApplication InvisibleTimes IrreduciblePolynomialQ IsolatingInterval IsomorphicGraphQ IsotopeData Italic Item ItemBox ItemBoxOptions ItemSize ItemStyle ItoProcess JaccardDissimilarity JacobiAmplitude Jacobian JacobiCD JacobiCN JacobiCS JacobiDC JacobiDN JacobiDS JacobiNC JacobiND JacobiNS JacobiP JacobiSC JacobiSD JacobiSN JacobiSymbol JacobiZeta JankoGroupJ1 JankoGroupJ2 JankoGroupJ3 JankoGroupJ4 JarqueBeraALMTest JohnsonDistribution Join Joined JoinedCurve JoinedCurveBox JoinForm JordanDecomposition JordanModelDecomposition K KagiChart KaiserBesselWindow KaiserWindow KalmanEstimator KalmanFilter KarhunenLoeveDecomposition KaryTree KatzCentrality KCoreComponents KDistribution KelvinBei KelvinBer KelvinKei KelvinKer KendallTau KendallTauTest KernelExecute KernelMixtureDistribution KernelObject Kernels Ket Khinchin KirchhoffGraph KirchhoffMatrix KleinInvariantJ KnightTourGraph KnotData KnownUnitQ KolmogorovSmirnovTest KroneckerDelta KroneckerModelDecomposition KroneckerProduct KroneckerSymbol KuiperTest KumaraswamyDistribution Kurtosis KuwaharaFilter Label Labeled LabeledSlider LabelingFunction LabelStyle LaguerreL LambdaComponents LambertW LanczosWindow LandauDistribution Language LanguageCategory LaplaceDistribution LaplaceTransform Laplacian LaplacianFilter LaplacianGaussianFilter Large Larger Last Latitude LatitudeLongitude LatticeData LatticeReduce Launch LaunchKernels LayeredGraphPlot LayerSizeFunction LayoutInformation LCM LeafCount LeapYearQ LeastSquares LeastSquaresFilterKernel Left LeftArrow LeftArrowBar LeftArrowRightArrow LeftDownTeeVector LeftDownVector LeftDownVectorBar LeftRightArrow LeftRightVector LeftTee LeftTeeArrow LeftTeeVector LeftTriangle LeftTriangleBar LeftTriangleEqual LeftUpDownVector LeftUpTeeVector LeftUpVector LeftUpVectorBar LeftVector LeftVectorBar LegendAppearance Legended LegendFunction LegendLabel LegendLayout LegendMargins LegendMarkers LegendMarkerSize LegendreP LegendreQ LegendreType Length LengthWhile LerchPhi Less LessEqual LessEqualGreater LessFullEqual LessGreater LessLess LessSlantEqual LessTilde LetterCharacter LetterQ Level LeveneTest LeviCivitaTensor LevyDistribution Lexicographic LibraryFunction LibraryFunctionError LibraryFunctionInformation LibraryFunctionLoad LibraryFunctionUnload LibraryLoad LibraryUnload LicenseID LiftingFilterData LiftingWaveletTransform LightBlue LightBrown LightCyan Lighter LightGray LightGreen Lighting LightingAngle LightMagenta LightOrange LightPink LightPurple LightRed LightSources LightYellow Likelihood Limit LimitsPositioning LimitsPositioningTokens LindleyDistribution Line Line3DBox LinearFilter LinearFractionalTransform LinearModelFit LinearOffsetFunction LinearProgramming LinearRecurrence LinearSolve LinearSolveFunction LineBox LineBreak LinebreakAdjustments LineBreakChart LineBreakWithin LineColor LineForm LineGraph LineIndent LineIndentMaxFraction LineIntegralConvolutionPlot LineIntegralConvolutionScale LineLegend LineOpacity LineSpacing LineWrapParts LinkActivate LinkClose LinkConnect LinkConnectedQ LinkCreate LinkError LinkFlush LinkFunction LinkHost LinkInterrupt LinkLaunch LinkMode LinkObject LinkOpen LinkOptions LinkPatterns LinkProtocol LinkRead LinkReadHeld LinkReadyQ Links LinkWrite LinkWriteHeld LiouvilleLambda List Listable ListAnimate ListContourPlot ListContourPlot3D ListConvolve ListCorrelate ListCurvePathPlot ListDeconvolve ListDensityPlot Listen ListFourierSequenceTransform ListInterpolation ListLineIntegralConvolutionPlot ListLinePlot ListLogLinearPlot ListLogLogPlot ListLogPlot ListPicker ListPickerBox ListPickerBoxBackground ListPickerBoxOptions ListPlay ListPlot ListPlot3D ListPointPlot3D ListPolarPlot ListQ ListStreamDensityPlot ListStreamPlot ListSurfacePlot3D ListVectorDensityPlot ListVectorPlot ListVectorPlot3D ListZTransform Literal LiteralSearch LocalClusteringCoefficient LocalizeVariables LocationEquivalenceTest LocationTest Locator LocatorAutoCreate LocatorBox LocatorBoxOptions LocatorCentering LocatorPane LocatorPaneBox LocatorPaneBoxOptions LocatorRegion Locked Log Log10 Log2 LogBarnesG LogGamma LogGammaDistribution LogicalExpand LogIntegral LogisticDistribution LogitModelFit LogLikelihood LogLinearPlot LogLogisticDistribution LogLogPlot LogMultinormalDistribution LogNormalDistribution LogPlot LogRankTest LogSeriesDistribution LongEqual Longest LongestAscendingSequence LongestCommonSequence LongestCommonSequencePositions LongestCommonSubsequence LongestCommonSubsequencePositions LongestMatch LongForm Longitude LongLeftArrow LongLeftRightArrow LongRightArrow Loopback LoopFreeGraphQ LowerCaseQ LowerLeftArrow LowerRightArrow LowerTriangularize LowpassFilter LQEstimatorGains LQGRegulator LQOutputRegulatorGains LQRegulatorGains LUBackSubstitution LucasL LuccioSamiComponents LUDecomposition LyapunovSolve LyonsGroupLy MachineID MachineName MachineNumberQ MachinePrecision MacintoshSystemPageSetup Magenta Magnification Magnify MainSolve MaintainDynamicCaches Majority MakeBoxes MakeExpression MakeRules MangoldtLambda ManhattanDistance Manipulate Manipulator MannWhitneyTest MantissaExponent Manual Map MapAll MapAt MapIndexed MAProcess MapThread MarcumQ MardiaCombinedTest MardiaKurtosisTest MardiaSkewnessTest MarginalDistribution MarkovProcessProperties Masking MatchingDissimilarity MatchLocalNameQ MatchLocalNames MatchQ Material MathematicaNotation MathieuC MathieuCharacteristicA MathieuCharacteristicB MathieuCharacteristicExponent MathieuCPrime MathieuGroupM11 MathieuGroupM12 MathieuGroupM22 MathieuGroupM23 MathieuGroupM24 MathieuS MathieuSPrime MathMLForm MathMLText Matrices MatrixExp MatrixForm MatrixFunction MatrixLog MatrixPlot MatrixPower MatrixQ MatrixRank Max MaxBend MaxDetect MaxExtraBandwidths MaxExtraConditions MaxFeatures MaxFilter Maximize MaxIterations MaxMemoryUsed MaxMixtureKernels MaxPlotPoints MaxPoints MaxRecursion MaxStableDistribution MaxStepFraction MaxSteps MaxStepSize MaxValue MaxwellDistribution McLaughlinGroupMcL Mean MeanClusteringCoefficient MeanDegreeConnectivity MeanDeviation MeanFilter MeanGraphDistance MeanNeighborDegree MeanShift MeanShiftFilter Median MedianDeviation MedianFilter Medium MeijerG MeixnerDistribution MemberQ MemoryConstrained MemoryInUse Menu MenuAppearance MenuCommandKey MenuEvaluator MenuItem MenuPacket MenuSortingValue MenuStyle MenuView MergeDifferences Mesh MeshFunctions MeshRange MeshShading MeshStyle Message MessageDialog MessageList MessageName MessageOptions MessagePacket Messages MessagesNotebook MetaCharacters MetaInformation Method MethodOptions MexicanHatWavelet MeyerWavelet Min MinDetect MinFilter MinimalPolynomial MinimalStateSpaceModel Minimize Minors MinRecursion MinSize MinStableDistribution Minus MinusPlus MinValue Missing MissingDataMethod MittagLefflerE MixedRadix MixedRadixQuantity MixtureDistribution Mod Modal Mode Modular ModularLambda Module Modulus MoebiusMu Moment Momentary MomentConvert MomentEvaluate MomentGeneratingFunction Monday Monitor MonomialList MonomialOrder MonsterGroupM MorletWavelet MorphologicalBinarize MorphologicalBranchPoints MorphologicalComponents MorphologicalEulerNumber MorphologicalGraph MorphologicalPerimeter MorphologicalTransform Most MouseAnnotation MouseAppearance MouseAppearanceTag MouseButtons Mouseover MousePointerNote MousePosition MovingAverage MovingMedian MoyalDistribution MultiedgeStyle MultilaunchWarning MultiLetterItalics MultiLetterStyle MultilineFunction Multinomial MultinomialDistribution MultinormalDistribution MultiplicativeOrder Multiplicity Multiselection MultivariateHypergeometricDistribution MultivariatePoissonDistribution MultivariateTDistribution N NakagamiDistribution NameQ Names NamespaceBox Nand NArgMax NArgMin NBernoulliB NCache NDSolve NDSolveValue Nearest NearestFunction NeedCurrentFrontEndPackagePacket NeedCurrentFrontEndSymbolsPacket NeedlemanWunschSimilarity Needs Negative NegativeBinomialDistribution NegativeMultinomialDistribution NeighborhoodGraph Nest NestedGreaterGreater NestedLessLess NestedScriptRules NestList NestWhile NestWhileList NevilleThetaC NevilleThetaD NevilleThetaN NevilleThetaS NewPrimitiveStyle NExpectation Next NextPrime NHoldAll NHoldFirst NHoldRest NicholsGridLines NicholsPlot NIntegrate NMaximize NMaxValue NMinimize NMinValue NominalVariables NonAssociative NoncentralBetaDistribution NoncentralChiSquareDistribution NoncentralFRatioDistribution NoncentralStudentTDistribution NonCommutativeMultiply NonConstants None NonlinearModelFit NonlocalMeansFilter NonNegative NonPositive Nor NorlundB Norm Normal NormalDistribution NormalGrouping Normalize NormalizedSquaredEuclideanDistance NormalsFunction NormFunction Not NotCongruent NotCupCap NotDoubleVerticalBar Notebook NotebookApply NotebookAutoSave NotebookClose NotebookConvertSettings NotebookCreate NotebookCreateReturnObject NotebookDefault NotebookDelete NotebookDirectory NotebookDynamicExpression NotebookEvaluate NotebookEventActions NotebookFileName NotebookFind NotebookFindReturnObject NotebookGet NotebookGetLayoutInformationPacket NotebookGetMisspellingsPacket NotebookInformation NotebookInterfaceObject NotebookLocate NotebookObject NotebookOpen NotebookOpenReturnObject NotebookPath NotebookPrint NotebookPut NotebookPutReturnObject NotebookRead NotebookResetGeneratedCells Notebooks NotebookSave NotebookSaveAs NotebookSelection NotebookSetupLayoutInformationPacket NotebooksMenu NotebookWrite NotElement NotEqualTilde NotExists NotGreater NotGreaterEqual NotGreaterFullEqual NotGreaterGreater NotGreaterLess NotGreaterSlantEqual NotGreaterTilde NotHumpDownHump NotHumpEqual NotLeftTriangle NotLeftTriangleBar NotLeftTriangleEqual NotLess NotLessEqual NotLessFullEqual NotLessGreater NotLessLess NotLessSlantEqual NotLessTilde NotNestedGreaterGreater NotNestedLessLess NotPrecedes NotPrecedesEqual NotPrecedesSlantEqual NotPrecedesTilde NotReverseElement NotRightTriangle NotRightTriangleBar NotRightTriangleEqual NotSquareSubset NotSquareSubsetEqual NotSquareSuperset NotSquareSupersetEqual NotSubset NotSubsetEqual NotSucceeds NotSucceedsEqual NotSucceedsSlantEqual NotSucceedsTilde NotSuperset NotSupersetEqual NotTilde NotTildeEqual NotTildeFullEqual NotTildeTilde NotVerticalBar NProbability NProduct NProductFactors NRoots NSolve NSum NSumTerms Null NullRecords NullSpace NullWords Number NumberFieldClassNumber NumberFieldDiscriminant NumberFieldFundamentalUnits NumberFieldIntegralBasis NumberFieldNormRepresentatives NumberFieldRegulator NumberFieldRootsOfUnity NumberFieldSignature NumberForm NumberFormat NumberMarks NumberMultiplier NumberPadding NumberPoint NumberQ NumberSeparator NumberSigns NumberString Numerator NumericFunction NumericQ NuttallWindow NValues NyquistGridLines NyquistPlot O ObservabilityGramian ObservabilityMatrix ObservableDecomposition ObservableModelQ OddQ Off Offset OLEData On ONanGroupON OneIdentity Opacity Open OpenAppend Opener OpenerBox OpenerBoxOptions OpenerView OpenFunctionInspectorPacket Opening OpenRead OpenSpecialOptions OpenTemporary OpenWrite Operate OperatingSystem OptimumFlowData Optional OptionInspectorSettings OptionQ Options OptionsPacket OptionsPattern OptionValue OptionValueBox OptionValueBoxOptions Or Orange Order OrderDistribution OrderedQ Ordering Orderless OrnsteinUhlenbeckProcess Orthogonalize Out Outer OutputAutoOverwrite OutputControllabilityMatrix OutputControllableModelQ OutputForm OutputFormData OutputGrouping OutputMathEditExpression OutputNamePacket OutputResponse OutputSizeLimit OutputStream Over OverBar OverDot Overflow OverHat Overlaps Overlay OverlayBox OverlayBoxOptions Overscript OverscriptBox OverscriptBoxOptions OverTilde OverVector OwenT OwnValues PackingMethod PaddedForm Padding PadeApproximant PadLeft PadRight PageBreakAbove PageBreakBelow PageBreakWithin PageFooterLines PageFooters PageHeaderLines PageHeaders PageHeight PageRankCentrality PageWidth PairedBarChart PairedHistogram PairedSmoothHistogram PairedTTest PairedZTest PaletteNotebook PalettePath Pane PaneBox PaneBoxOptions Panel PanelBox PanelBoxOptions Paneled PaneSelector PaneSelectorBox PaneSelectorBoxOptions PaperWidth ParabolicCylinderD ParagraphIndent ParagraphSpacing ParallelArray ParallelCombine ParallelDo ParallelEvaluate Parallelization Parallelize ParallelMap ParallelNeeds ParallelProduct ParallelSubmit ParallelSum ParallelTable ParallelTry Parameter ParameterEstimator ParameterMixtureDistribution ParameterVariables ParametricFunction ParametricNDSolve ParametricNDSolveValue ParametricPlot ParametricPlot3D ParentConnect ParentDirectory ParentForm Parenthesize ParentList ParetoDistribution Part PartialCorrelationFunction PartialD ParticleData Partition PartitionsP PartitionsQ ParzenWindow PascalDistribution PassEventsDown PassEventsUp Paste PasteBoxFormInlineCells PasteButton Path PathGraph PathGraphQ Pattern PatternSequence PatternTest PauliMatrix PaulWavelet Pause PausedTime PDF PearsonChiSquareTest PearsonCorrelationTest PearsonDistribution PerformanceGoal PeriodicInterpolation Periodogram PeriodogramArray PermutationCycles PermutationCyclesQ PermutationGroup PermutationLength PermutationList PermutationListQ PermutationMax PermutationMin PermutationOrder PermutationPower PermutationProduct PermutationReplace Permutations PermutationSupport Permute PeronaMalikFilter Perpendicular PERTDistribution PetersenGraph PhaseMargins Pi Pick PIDData PIDDerivativeFilter PIDFeedforward PIDTune Piecewise PiecewiseExpand PieChart PieChart3D PillaiTrace PillaiTraceTest Pink Pivoting PixelConstrained PixelValue PixelValuePositions Placed Placeholder PlaceholderReplace Plain PlanarGraphQ Play PlayRange Plot Plot3D Plot3Matrix PlotDivision PlotJoined PlotLabel PlotLayout PlotLegends PlotMarkers PlotPoints PlotRange PlotRangeClipping PlotRangePadding PlotRegion PlotStyle Plus PlusMinus Pochhammer PodStates PodWidth Point Point3DBox PointBox PointFigureChart PointForm PointLegend PointSize PoissonConsulDistribution PoissonDistribution PoissonProcess PoissonWindow PolarAxes PolarAxesOrigin PolarGridLines PolarPlot PolarTicks PoleZeroMarkers PolyaAeppliDistribution PolyGamma Polygon Polygon3DBox Polygon3DBoxOptions PolygonBox PolygonBoxOptions PolygonHoleScale PolygonIntersections PolygonScale PolyhedronData PolyLog PolynomialExtendedGCD PolynomialForm PolynomialGCD PolynomialLCM PolynomialMod PolynomialQ PolynomialQuotient PolynomialQuotientRemainder PolynomialReduce PolynomialRemainder Polynomials PopupMenu PopupMenuBox PopupMenuBoxOptions PopupView PopupWindow Position Positive PositiveDefiniteMatrixQ PossibleZeroQ Postfix PostScript Power PowerDistribution PowerExpand PowerMod PowerModList PowerSpectralDensity PowersRepresentations PowerSymmetricPolynomial Precedence PrecedenceForm Precedes 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RasterArray RasterBox RasterBoxOptions Rasterize RasterSize Rational RationalFunctions Rationalize Rationals Ratios Raw RawArray RawBoxes RawData RawMedium RayleighDistribution Re Read ReadList ReadProtected Real RealBlockDiagonalForm RealDigits RealExponent Reals Reap Record RecordLists RecordSeparators Rectangle RectangleBox RectangleBoxOptions RectangleChart RectangleChart3D RecurrenceFilter RecurrenceTable RecurringDigitsForm Red Reduce RefBox ReferenceLineStyle ReferenceMarkers ReferenceMarkerStyle Refine ReflectionMatrix ReflectionTransform Refresh RefreshRate RegionBinarize RegionFunction RegionPlot RegionPlot3D RegularExpression Regularization Reinstall Release ReleaseHold ReliabilityDistribution ReliefImage ReliefPlot Remove RemoveAlphaChannel RemoveAsynchronousTask Removed RemoveInputStreamMethod RemoveOutputStreamMethod RemoveProperty RemoveScheduledTask RenameDirectory RenameFile RenderAll RenderingOptions RenewalProcess RenkoChart Repeated RepeatedNull RepeatedString 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RootLocusPlot RootMeanSquare RootOfUnityQ RootReduce Roots RootSum Rotate RotateLabel RotateLeft RotateRight RotationAction RotationBox RotationBoxOptions RotationMatrix RotationTransform Round RoundImplies RoundingRadius Row RowAlignments RowBackgrounds RowBox RowHeights RowLines RowMinHeight RowReduce RowsEqual RowSpacings RSolve RudvalisGroupRu Rule RuleCondition RuleDelayed RuleForm RulerUnits Run RunScheduledTask RunThrough RuntimeAttributes RuntimeOptions RussellRaoDissimilarity SameQ SameTest SampleDepth SampledSoundFunction SampledSoundList SampleRate SamplingPeriod SARIMAProcess SARMAProcess SatisfiabilityCount SatisfiabilityInstances SatisfiableQ Saturday Save Saveable SaveAutoDelete SaveDefinitions SawtoothWave Scale Scaled ScaleDivisions ScaledMousePosition ScaleOrigin ScalePadding ScaleRanges ScaleRangeStyle ScalingFunctions ScalingMatrix ScalingTransform Scan ScheduledTaskActiveQ ScheduledTaskData ScheduledTaskObject ScheduledTasks SchurDecomposition ScientificForm 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integrate intersect intersection intervalp intopois intosum invariant1 invariant2 inverse_fft inverse_jacobi_cd inverse_jacobi_cn inverse_jacobi_cs inverse_jacobi_dc inverse_jacobi_dn inverse_jacobi_ds inverse_jacobi_nc inverse_jacobi_nd inverse_jacobi_ns inverse_jacobi_sc inverse_jacobi_sd inverse_jacobi_sn invert invert_by_adjoint invert_by_lu inv_mod irr is is_biconnected is_bipartite is_connected is_digraph is_edge_in_graph is_graph is_graph_or_digraph ishow is_isomorphic isolate isomorphism is_planar isqrt isreal_p is_sconnected is_tree is_vertex_in_graph items_inference %j j0 j1 jacobi jacobian jacobi_cd jacobi_cn jacobi_cs jacobi_dc jacobi_dn jacobi_ds jacobi_nc jacobi_nd jacobi_ns jacobi_p jacobi_sc jacobi_sd jacobi_sn JF jn join jordan julia julia_set julia_sin %k kdels kdelta kill killcontext kostka kron_delta kronecker_product kummer_m kummer_u kurtosis kurtosis_bernoulli kurtosis_beta kurtosis_binomial kurtosis_chi2 kurtosis_continuous_uniform kurtosis_discrete_uniform kurtosis_exp kurtosis_f kurtosis_gamma kurtosis_general_finite_discrete kurtosis_geometric kurtosis_gumbel kurtosis_hypergeometric kurtosis_laplace kurtosis_logistic kurtosis_lognormal kurtosis_negative_binomial kurtosis_noncentral_chi2 kurtosis_noncentral_student_t kurtosis_normal kurtosis_pareto kurtosis_poisson kurtosis_rayleigh kurtosis_student_t kurtosis_weibull label labels lagrange laguerre lambda lambert_w laplace laplacian_matrix last lbfgs lc2kdt lcharp lc_l lcm lc_u ldefint ldisp ldisplay legendre_p legendre_q leinstein length let letrules letsimp levi_civita lfreeof lgtreillis lhs li liediff limit Lindstedt linear linearinterpol linear_program linear_regression line_graph linsolve listarray list_correlations listify list_matrix_entries list_nc_monomials listoftens listofvars listp lmax lmin load loadfile local locate_matrix_entry log logcontract log_gamma lopow lorentz_gauge lowercasep lpart lratsubst lreduce lriemann lsquares_estimates lsquares_estimates_approximate lsquares_estimates_exact lsquares_mse lsquares_residual_mse lsquares_residuals lsum ltreillis lu_backsub lucas lu_factor %m macroexpand macroexpand1 make_array makebox makefact makegamma make_graph make_level_picture makelist makeOrders make_poly_continent make_poly_country make_polygon make_random_state make_rgb_picture makeset make_string_input_stream make_string_output_stream make_transform mandelbrot mandelbrot_set map mapatom maplist matchdeclare matchfix mat_cond mat_fullunblocker mat_function mathml_display mat_norm matrix matrixmap matrixp matrix_size mattrace mat_trace mat_unblocker max max_clique max_degree max_flow maximize_lp max_independent_set max_matching maybe md5sum mean mean_bernoulli mean_beta mean_binomial mean_chi2 mean_continuous_uniform mean_deviation mean_discrete_uniform mean_exp mean_f mean_gamma mean_general_finite_discrete mean_geometric mean_gumbel mean_hypergeometric mean_laplace mean_logistic mean_lognormal mean_negative_binomial mean_noncentral_chi2 mean_noncentral_student_t mean_normal mean_pareto mean_poisson mean_rayleigh mean_student_t mean_weibull median median_deviation member mesh metricexpandall mgf1_sha1 min min_degree min_edge_cut minfactorial minimalPoly minimize_lp minimum_spanning_tree minor minpack_lsquares minpack_solve min_vertex_cover min_vertex_cut mkdir mnewton mod mode_declare mode_identity ModeMatrix moebius mon2schur mono monomial_dimensions multibernstein_poly multi_display_for_texinfo multi_elem multinomial multinomial_coeff multi_orbit multiplot_mode multi_pui multsym multthru mycielski_graph nary natural_unit nc_degree ncexpt ncharpoly negative_picture neighbors new newcontext newdet new_graph newline newton new_variable next_prime nicedummies niceindices ninth nofix nonarray noncentral_moment nonmetricity nonnegintegerp nonscalarp nonzeroandfreeof notequal nounify nptetrad npv nroots nterms ntermst nthroot nullity nullspace num numbered_boundaries numberp number_to_octets num_distinct_partitions numerval numfactor num_partitions nusum nzeta nzetai nzetar octets_to_number octets_to_oid odd_girth oddp ode2 ode_check odelin oid_to_octets op opena opena_binary openr openr_binary openw openw_binary operatorp opsubst optimize %or orbit orbits ordergreat ordergreatp orderless orderlessp orthogonal_complement orthopoly_recur orthopoly_weight outermap out_neighbors outofpois pade parabolic_cylinder_d parametric parametric_surface parg parGosper parse_string parse_timedate part part2cont partfrac partition partition_set partpol path_digraph path_graph pathname_directory pathname_name pathname_type pdf_bernoulli pdf_beta pdf_binomial pdf_cauchy pdf_chi2 pdf_continuous_uniform pdf_discrete_uniform pdf_exp pdf_f pdf_gamma pdf_general_finite_discrete pdf_geometric pdf_gumbel pdf_hypergeometric pdf_laplace pdf_logistic pdf_lognormal pdf_negative_binomial pdf_noncentral_chi2 pdf_noncentral_student_t pdf_normal pdf_pareto pdf_poisson pdf_rank_sum pdf_rayleigh pdf_signed_rank pdf_student_t pdf_weibull pearson_skewness permanent permut permutation permutations petersen_graph petrov pickapart picture_equalp picturep piechart piechart_description planar_embedding playback plog plot2d plot3d plotdf ploteq plsquares pochhammer points poisdiff poisexpt poisint poismap poisplus poissimp poissubst poistimes poistrim polar polarform polartorect polar_to_xy poly_add poly_buchberger poly_buchberger_criterion poly_colon_ideal poly_content polydecomp poly_depends_p poly_elimination_ideal poly_exact_divide poly_expand poly_expt poly_gcd polygon poly_grobner poly_grobner_equal poly_grobner_member poly_grobner_subsetp poly_ideal_intersection poly_ideal_polysaturation poly_ideal_polysaturation1 poly_ideal_saturation poly_ideal_saturation1 poly_lcm poly_minimization polymod poly_multiply polynome2ele polynomialp poly_normal_form poly_normalize poly_normalize_list poly_polysaturation_extension poly_primitive_part poly_pseudo_divide poly_reduced_grobner poly_reduction poly_saturation_extension poly_s_polynomial poly_subtract polytocompanion pop postfix potential power_mod powerseries powerset prefix prev_prime primep primes principal_components print printf printfile print_graph printpois printprops prodrac product properties propvars psi psubst ptriangularize pui pui2comp pui2ele pui2polynome pui_direct puireduc push put pv qput qrange qty quad_control quad_qag quad_qagi quad_qagp quad_qags quad_qawc quad_qawf quad_qawo quad_qaws quadrilateral quantile quantile_bernoulli quantile_beta quantile_binomial quantile_cauchy quantile_chi2 quantile_continuous_uniform quantile_discrete_uniform quantile_exp quantile_f quantile_gamma quantile_general_finite_discrete quantile_geometric quantile_gumbel quantile_hypergeometric quantile_laplace quantile_logistic quantile_lognormal quantile_negative_binomial quantile_noncentral_chi2 quantile_noncentral_student_t quantile_normal quantile_pareto quantile_poisson quantile_rayleigh quantile_student_t quantile_weibull quartile_skewness quit qunit quotient racah_v racah_w radcan radius random random_bernoulli random_beta random_binomial random_bipartite_graph random_cauchy random_chi2 random_continuous_uniform random_digraph random_discrete_uniform random_exp random_f random_gamma random_general_finite_discrete random_geometric random_graph random_graph1 random_gumbel random_hypergeometric random_laplace random_logistic random_lognormal random_negative_binomial random_network random_noncentral_chi2 random_noncentral_student_t random_normal random_pareto random_permutation random_poisson random_rayleigh random_regular_graph random_student_t random_tournament random_tree random_weibull range rank rat ratcoef ratdenom ratdiff ratdisrep ratexpand ratinterpol rational rationalize ratnumer ratnump ratp ratsimp ratsubst ratvars ratweight read read_array read_binary_array read_binary_list read_binary_matrix readbyte readchar read_hashed_array readline read_list read_matrix read_nested_list readonly read_xpm real_imagpart_to_conjugate realpart realroots rearray rectangle rectform rectform_log_if_constant recttopolar rediff reduce_consts reduce_order region region_boundaries region_boundaries_plus rem remainder remarray rembox remcomps remcon remcoord remfun remfunction remlet remove remove_constvalue remove_dimensions remove_edge remove_fundamental_dimensions remove_fundamental_units remove_plot_option remove_vertex rempart remrule remsym remvalue rename rename_file reset reset_displays residue resolvante resolvante_alternee1 resolvante_bipartite resolvante_diedrale resolvante_klein resolvante_klein3 resolvante_produit_sym resolvante_unitaire resolvante_vierer rest resultant return reveal reverse revert revert2 rgb2level rhs ricci riemann rinvariant risch rk rmdir rncombine romberg room rootscontract round row rowop rowswap rreduce run_testsuite %s save saving scalarp scaled_bessel_i scaled_bessel_i0 scaled_bessel_i1 scalefactors scanmap scatterplot scatterplot_description scene schur2comp sconcat scopy scsimp scurvature sdowncase sec sech second sequal sequalignore set_alt_display setdifference set_draw_defaults set_edge_weight setelmx setequalp setify setp set_partitions set_plot_option set_prompt set_random_state set_tex_environment set_tex_environment_default setunits setup_autoload set_up_dot_simplifications set_vertex_label seventh sexplode sf sha1sum sha256sum shortest_path shortest_weighted_path show showcomps showratvars sierpinskiale sierpinskimap sign signum similaritytransform simp_inequality simplify_sum simplode simpmetderiv simtran sin sinh sinsert sinvertcase sixth skewness skewness_bernoulli skewness_beta skewness_binomial skewness_chi2 skewness_continuous_uniform skewness_discrete_uniform skewness_exp skewness_f skewness_gamma skewness_general_finite_discrete skewness_geometric skewness_gumbel skewness_hypergeometric skewness_laplace skewness_logistic skewness_lognormal skewness_negative_binomial skewness_noncentral_chi2 skewness_noncentral_student_t skewness_normal skewness_pareto skewness_poisson skewness_rayleigh skewness_student_t skewness_weibull slength smake small_rhombicosidodecahedron_graph small_rhombicuboctahedron_graph smax smin smismatch snowmap snub_cube_graph snub_dodecahedron_graph solve solve_rec solve_rec_rat some somrac sort sparse6_decode sparse6_encode sparse6_export sparse6_import specint spherical spherical_bessel_j spherical_bessel_y spherical_hankel1 spherical_hankel2 spherical_harmonic spherical_to_xyz splice split sposition sprint sqfr sqrt sqrtdenest sremove sremovefirst sreverse ssearch ssort sstatus ssubst ssubstfirst staircase standardize standardize_inverse_trig starplot starplot_description status std std1 std_bernoulli std_beta std_binomial std_chi2 std_continuous_uniform std_discrete_uniform std_exp std_f std_gamma std_general_finite_discrete std_geometric std_gumbel std_hypergeometric std_laplace std_logistic std_lognormal std_negative_binomial std_noncentral_chi2 std_noncentral_student_t std_normal std_pareto std_poisson std_rayleigh std_student_t std_weibull stemplot stirling stirling1 stirling2 strim striml strimr string stringout stringp strong_components struve_h struve_l sublis sublist sublist_indices submatrix subsample subset subsetp subst substinpart subst_parallel substpart substring subvar subvarp sum sumcontract summand_to_rec supcase supcontext symbolp symmdifference symmetricp system take_channel take_inference tan tanh taylor taylorinfo taylorp taylor_simplifier taytorat tcl_output tcontract tellrat tellsimp tellsimpafter tentex tenth test_mean test_means_difference test_normality test_proportion test_proportions_difference test_rank_sum test_sign test_signed_rank test_variance test_variance_ratio tex tex1 tex_display texput %th third throw time timedate timer timer_info tldefint tlimit todd_coxeter toeplitz tokens to_lisp topological_sort to_poly to_poly_solve totaldisrep totalfourier totient tpartpol trace tracematrix trace_options transform_sample translate translate_file transpose treefale tree_reduce treillis treinat triangle triangularize trigexpand trigrat trigreduce trigsimp trunc truncate truncated_cube_graph truncated_dodecahedron_graph truncated_icosahedron_graph truncated_tetrahedron_graph tr_warnings_get tube tutte_graph ueivects uforget ultraspherical underlying_graph undiff union unique uniteigenvectors unitp units unit_step unitvector unorder unsum untellrat untimer untrace uppercasep uricci uriemann uvect vandermonde_matrix var var1 var_bernoulli var_beta var_binomial var_chi2 var_continuous_uniform var_discrete_uniform var_exp var_f var_gamma var_general_finite_discrete var_geometric var_gumbel var_hypergeometric var_laplace var_logistic var_lognormal var_negative_binomial var_noncentral_chi2 var_noncentral_student_t var_normal var_pareto var_poisson var_rayleigh var_student_t var_weibull vector vectorpotential vectorsimp verbify vers vertex_coloring vertex_connectivity vertex_degree vertex_distance 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ctrlSetFade ctrlSetFocus ctrlSetFont ctrlSetFontH1 ctrlSetFontH1B ctrlSetFontH2 ctrlSetFontH2B ctrlSetFontH3 ctrlSetFontH3B ctrlSetFontH4 ctrlSetFontH4B ctrlSetFontH5 ctrlSetFontH5B ctrlSetFontH6 ctrlSetFontH6B ctrlSetFontHeight ctrlSetFontHeightH1 ctrlSetFontHeightH2 ctrlSetFontHeightH3 ctrlSetFontHeightH4 ctrlSetFontHeightH5 ctrlSetFontHeightH6 ctrlSetFontP ctrlSetFontPB ctrlSetForegroundColor ctrlSetModel ctrlSetModelDirAndUp ctrlSetModelScale ctrlSetPosition ctrlSetScale ctrlSetStructuredText ctrlSetText ctrlSetTextColor ctrlSetTooltip ctrlSetTooltipColorBox ctrlSetTooltipColorShade ctrlSetTooltipColorText ctrlShow ctrlShown ctrlText ctrlTextHeight ctrlType ctrlVisible curatorAddons curatorCamera curatorCameraArea curatorCameraAreaCeiling curatorCoef curatorEditableObjects curatorEditingArea curatorEditingAreaType curatorMouseOver curatorPoints curatorRegisteredObjects curatorSelected curatorWaypointCost currentChannel currentCommand currentMagazine currentMagazineDetail currentMagazineDetailTurret currentMagazineTurret currentMuzzle currentNamespace currentTask currentTasks currentThrowable currentVisionMode currentWaypoint currentWeapon currentWeaponMode currentWeaponTurret currentZeroing cursorTarget customChat customRadio cutFadeOut cutObj cutRsc cutText damage date dateToNumber daytime deActivateKey debriefingText debugFSM debugLog deg deleteAt deleteCenter deleteCollection deleteEditorObject deleteGroup deleteIdentity deleteLocation deleteMarker deleteMarkerLocal deleteRange deleteResources deleteSite deleteStatus deleteTeam deleteVehicle deleteVehicleCrew deleteWaypoint detach detectedMines diag activeMissionFSMs diag activeSQFScripts diag activeSQSScripts diag captureFrame diag captureSlowFrame diag fps diag fpsMin diag frameNo diag log diag logSlowFrame diag tickTime dialog diarySubjectExists didJIP didJIPOwner difficulty difficultyEnabled difficultyEnabledRTD direction directSay disableAI disableCollisionWith disableConversation disableDebriefingStats disableSerialization disableTIEquipment disableUAVConnectability disableUserInput displayAddEventHandler displayCtrl displayNull displayRemoveAllEventHandlers displayRemoveEventHandler displaySetEventHandler dissolveTeam distance distance2D distanceSqr distributionRegion doArtilleryFire doFire doFollow doFSM doGetOut doMove doorPhase doStop doTarget doWatch drawArrow drawEllipse drawIcon drawIcon3D drawLine drawLine3D drawLink drawLocation drawRectangle driver drop east echo editObject editorSetEventHandler effectiveCommander emptyPositions enableAI enableAIFeature enableAttack enableCamShake enableCaustics enableCollisionWith enableCopilot enableDebriefingStats enableDiagLegend enableEndDialog enableEngineArtillery enableEnvironment enableFatigue enableGunLights enableIRLasers enableMimics enablePersonTurret enableRadio enableReload enableRopeAttach enableSatNormalOnDetail enableSaving enableSentences enableSimulation enableSimulationGlobal enableTeamSwitch enableUAVConnectability enableUAVWaypoints endLoadingScreen endMission engineOn enginesIsOnRTD enginesRpmRTD enginesTorqueRTD entities estimatedEndServerTime estimatedTimeLeft evalObjectArgument everyBackpack everyContainer exec execEditorScript execFSM execVM exp expectedDestination eyeDirection eyePos face faction fadeMusic fadeRadio fadeSound fadeSpeech failMission fillWeaponsFromPool find findCover findDisplay findEditorObject findEmptyPosition findEmptyPositionReady findNearestEnemy finishMissionInit finite fire fireAtTarget firstBackpack flag flagOwner fleeing floor flyInHeight fog fogForecast fogParams forceAddUniform forceEnd forceMap forceRespawn forceSpeed forceWalk forceWeaponFire forceWeatherChange forEachMember forEachMemberAgent forEachMemberTeam format formation formationDirection formationLeader formationMembers formationPosition formationTask formatText formLeader freeLook fromEditor fuel fullCrew gearSlotAmmoCount gearSlotData getAllHitPointsDamage getAmmoCargo getArray getArtilleryAmmo getArtilleryComputerSettings getArtilleryETA getAssignedCuratorLogic getAssignedCuratorUnit getBackpackCargo getBleedingRemaining getBurningValue getCargoIndex getCenterOfMass getClientState getConnectedUAV getDammage getDescription getDir getDirVisual getDLCs getEditorCamera getEditorMode getEditorObjectScope getElevationOffset getFatigue getFriend getFSMVariable getFuelCargo getGroupIcon getGroupIconParams getGroupIcons getHideFrom getHit getHitIndex getHitPointDamage getItemCargo getMagazineCargo getMarkerColor getMarkerPos getMarkerSize getMarkerType getMass getModelInfo getNumber getObjectArgument getObjectChildren getObjectDLC getObjectMaterials getObjectProxy getObjectTextures getObjectType getObjectViewDistance getOxygenRemaining getPersonUsedDLCs getPlayerChannel getPlayerUID getPos getPosASL getPosASLVisual getPosASLW getPosATL getPosATLVisual getPosVisual getPosWorld getRepairCargo getResolution getShadowDistance getSlingLoad getSpeed getSuppression getTerrainHeightASL getText getVariable getWeaponCargo getWPPos glanceAt globalChat globalRadio goggles goto group groupChat groupFromNetId groupIconSelectable groupIconsVisible groupId groupOwner groupRadio groupSelectedUnits groupSelectUnit grpNull gunner gusts halt handgunItems handgunMagazine handgunWeapon handsHit hasInterface hasWeapon hcAllGroups hcGroupParams hcLeader hcRemoveAllGroups hcRemoveGroup hcSelected hcSelectGroup hcSetGroup hcShowBar hcShownBar headgear hideBody hideObject hideObjectGlobal hint hintC hintCadet hintSilent hmd hostMission htmlLoad HUDMovementLevels humidity image importAllGroups importance in incapacitatedState independent inflame inflamed inGameUISetEventHandler inheritsFrom initAmbientLife inputAction inRangeOfArtillery insertEditorObject intersect isAbleToBreathe isAgent isArray isAutoHoverOn isAutonomous isAutotest isBleeding isBurning isClass isCollisionLightOn isCopilotEnabled isDedicated isDLCAvailable isEngineOn isEqualTo isFlashlightOn 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lbSetSelected lbSetTooltip lbSetValue lbSize lbSort lbSortByValue lbText lbValue leader leaderboardDeInit leaderboardGetRows leaderboardInit leaveVehicle libraryCredits libraryDisclaimers lifeState lightAttachObject lightDetachObject lightIsOn lightnings limitSpeed linearConversion lineBreak lineIntersects lineIntersectsObjs lineIntersectsSurfaces lineIntersectsWith linkItem list listObjects ln lnbAddArray lnbAddColumn lnbAddRow lnbClear lnbColor lnbCurSelRow lnbData lnbDeleteColumn lnbDeleteRow lnbGetColumnsPosition lnbPicture lnbSetColor lnbSetColumnsPos lnbSetCurSelRow lnbSetData lnbSetPicture lnbSetText lnbSetValue lnbSize lnbText lnbValue load loadAbs loadBackpack loadFile loadGame loadIdentity loadMagazine loadOverlay loadStatus loadUniform loadVest local localize locationNull locationPosition lock lockCameraTo lockCargo lockDriver locked lockedCargo lockedDriver lockedTurret lockTurret lockWP log logEntities lookAt lookAtPos magazineCargo magazines magazinesAllTurrets magazinesAmmo magazinesAmmoCargo magazinesAmmoFull magazinesDetail magazinesDetailBackpack magazinesDetailUniform magazinesDetailVest magazinesTurret magazineTurretAmmo mapAnimAdd mapAnimClear mapAnimCommit mapAnimDone mapCenterOnCamera mapGridPosition markAsFinishedOnSteam markerAlpha markerBrush markerColor markerDir markerPos markerShape markerSize markerText markerType max members min mineActive mineDetectedBy missionConfigFile missionName missionNamespace missionStart mod modelToWorld modelToWorldVisual moonIntensity morale move moveInAny moveInCargo moveInCommander moveInDriver moveInGunner moveInTurret moveObjectToEnd moveOut moveTime moveTo moveToCompleted moveToFailed musicVolume name name location nameSound nearEntities nearestBuilding nearestLocation nearestLocations nearestLocationWithDubbing nearestObject nearestObjects nearObjects nearObjectsReady nearRoads nearSupplies nearTargets needReload netId netObjNull newOverlay nextMenuItemIndex nextWeatherChange nMenuItems not numberToDate objectCurators objectFromNetId objectParent objNull objStatus onBriefingGroup onBriefingNotes onBriefingPlan onBriefingTeamSwitch onCommandModeChanged onDoubleClick onEachFrame onGroupIconClick onGroupIconOverEnter onGroupIconOverLeave onHCGroupSelectionChanged onMapSingleClick onPlayerConnected onPlayerDisconnected onPreloadFinished onPreloadStarted onShowNewObject onTeamSwitch openCuratorInterface openMap openYoutubeVideo opfor or orderGetIn overcast overcastForecast owner param params parseNumber parseText parsingNamespace particlesQuality pi pickWeaponPool pitch playableSlotsNumber playableUnits playAction playActionNow player playerRespawnTime playerSide playersNumber playGesture playMission playMove playMoveNow playMusic playScriptedMission playSound playSound3D position positionCameraToWorld posScreenToWorld posWorldToScreen ppEffectAdjust ppEffectCommit ppEffectCommitted ppEffectCreate ppEffectDestroy ppEffectEnable ppEffectForceInNVG precision preloadCamera preloadObject preloadSound preloadTitleObj preloadTitleRsc preprocessFile preprocessFileLineNumbers primaryWeapon primaryWeaponItems primaryWeaponMagazine priority private processDiaryLink productVersion profileName profileNamespace profileNameSteam progressLoadingScreen progressPosition progressSetPosition publicVariable publicVariableClient publicVariableServer pushBack putWeaponPool queryItemsPool queryMagazinePool queryWeaponPool rad radioChannelAdd radioChannelCreate radioChannelRemove radioChannelSetCallSign radioChannelSetLabel radioVolume rain rainbow random rank rankId rating rectangular registeredTasks registerTask reload reloadEnabled remoteControl remoteExec remoteExecCall removeAction removeAllActions removeAllAssignedItems removeAllContainers removeAllCuratorAddons removeAllCuratorCameraAreas removeAllCuratorEditingAreas removeAllEventHandlers removeAllHandgunItems removeAllItems removeAllItemsWithMagazines removeAllMissionEventHandlers removeAllMPEventHandlers removeAllMusicEventHandlers removeAllPrimaryWeaponItems removeAllWeapons removeBackpack removeBackpackGlobal removeCuratorAddons removeCuratorCameraArea removeCuratorEditableObjects removeCuratorEditingArea removeDrawIcon removeDrawLinks removeEventHandler removeFromRemainsCollector removeGoggles removeGroupIcon removeHandgunItem removeHeadgear removeItem removeItemFromBackpack removeItemFromUniform removeItemFromVest removeItems removeMagazine removeMagazineGlobal removeMagazines removeMagazinesTurret removeMagazineTurret removeMenuItem removeMissionEventHandler removeMPEventHandler removeMusicEventHandler removePrimaryWeaponItem removeSecondaryWeaponItem removeSimpleTask removeSwitchableUnit removeTeamMember removeUniform removeVest removeWeapon removeWeaponGlobal removeWeaponTurret requiredVersion resetCamShake resetSubgroupDirection resistance resize resources respawnVehicle restartEditorCamera reveal revealMine reverse reversedMouseY roadsConnectedTo roleDescription ropeAttachedObjects ropeAttachedTo ropeAttachEnabled ropeAttachTo ropeCreate ropeCut ropeEndPosition ropeLength ropes ropeUnwind ropeUnwound rotorsForcesRTD rotorsRpmRTD round runInitScript safeZoneH safeZoneW safeZoneWAbs safeZoneX safeZoneXAbs safeZoneY saveGame saveIdentity saveJoysticks saveOverlay saveProfileNamespace saveStatus saveVar savingEnabled say say2D say3D scopeName score scoreSide screenToWorld scriptDone scriptName scriptNull scudState secondaryWeapon secondaryWeaponItems secondaryWeaponMagazine select selectBestPlaces selectDiarySubject selectedEditorObjects selectEditorObject selectionPosition selectLeader selectNoPlayer selectPlayer selectWeapon selectWeaponTurret sendAUMessage sendSimpleCommand sendTask sendTaskResult sendUDPMessage serverCommand serverCommandAvailable serverCommandExecutable serverName serverTime set setAccTime setAirportSide setAmmo setAmmoCargo setAperture setApertureNew setArmoryPoints setAttributes setAutonomous setBehaviour setBleedingRemaining setCameraInterest setCamShakeDefParams setCamShakeParams setCamUseTi setCaptive setCenterOfMass setCollisionLight setCombatMode setCompassOscillation setCuratorCameraAreaCeiling setCuratorCoef setCuratorEditingAreaType setCuratorWaypointCost setCurrentChannel setCurrentTask setCurrentWaypoint setDamage setDammage setDate setDebriefingText setDefaultCamera setDestination setDetailMapBlendPars setDir setDirection setDrawIcon setDropInterval setEditorMode setEditorObjectScope setEffectCondition setFace setFaceAnimation setFatigue setFlagOwner setFlagSide setFlagTexture setFog setFog array setFormation setFormationTask setFormDir setFriend setFromEditor setFSMVariable setFuel setFuelCargo setGroupIcon setGroupIconParams setGroupIconsSelectable setGroupIconsVisible setGroupId setGroupIdGlobal setGroupOwner setGusts setHideBehind setHit setHitIndex setHitPointDamage setHorizonParallaxCoef setHUDMovementLevels setIdentity setImportance setLeader setLightAmbient setLightAttenuation setLightBrightness setLightColor setLightDayLight setLightFlareMaxDistance setLightFlareSize setLightIntensity setLightnings setLightUseFlare setLocalWindParams setMagazineTurretAmmo setMarkerAlpha setMarkerAlphaLocal setMarkerBrush setMarkerBrushLocal setMarkerColor setMarkerColorLocal setMarkerDir setMarkerDirLocal setMarkerPos setMarkerPosLocal setMarkerShape setMarkerShapeLocal setMarkerSize setMarkerSizeLocal setMarkerText setMarkerTextLocal setMarkerType setMarkerTypeLocal setMass setMimic setMousePosition setMusicEffect setMusicEventHandler setName setNameSound setObjectArguments setObjectMaterial setObjectProxy setObjectTexture setObjectTextureGlobal setObjectViewDistance setOvercast setOwner setOxygenRemaining setParticleCircle setParticleClass setParticleFire setParticleParams setParticleRandom setPilotLight setPiPEffect setPitch setPlayable setPlayerRespawnTime setPos setPosASL setPosASL2 setPosASLW setPosATL setPosition setPosWorld setRadioMsg setRain setRainbow setRandomLip setRank setRectangular setRepairCargo setShadowDistance setSide setSimpleTaskDescription setSimpleTaskDestination setSimpleTaskTarget setSimulWeatherLayers setSize setSkill setSkill array setSlingLoad setSoundEffect setSpeaker setSpeech setSpeedMode setStatValue setSuppression setSystemOfUnits setTargetAge setTaskResult setTaskState setTerrainGrid setText setTimeMultiplier setTitleEffect setTriggerActivation setTriggerArea setTriggerStatements setTriggerText setTriggerTimeout setTriggerType setType setUnconscious setUnitAbility setUnitPos setUnitPosWeak setUnitRank setUnitRecoilCoefficient setUnloadInCombat setUserActionText setVariable setVectorDir setVectorDirAndUp setVectorUp setVehicleAmmo setVehicleAmmoDef setVehicleArmor setVehicleId setVehicleLock setVehiclePosition setVehicleTiPars setVehicleVarName setVelocity setVelocityTransformation setViewDistance setVisibleIfTreeCollapsed setWaves setWaypointBehaviour setWaypointCombatMode setWaypointCompletionRadius setWaypointDescription setWaypointFormation setWaypointHousePosition setWaypointLoiterRadius setWaypointLoiterType setWaypointName setWaypointPosition setWaypointScript setWaypointSpeed setWaypointStatements setWaypointTimeout setWaypointType setWaypointVisible setWeaponReloadingTime setWind setWindDir setWindForce setWindStr setWPPos show3DIcons showChat showCinemaBorder showCommandingMenu showCompass showCuratorCompass showGPS showHUD showLegend showMap shownArtilleryComputer shownChat shownCompass shownCuratorCompass showNewEditorObject shownGPS shownHUD shownMap shownPad shownRadio shownUAVFeed shownWarrant shownWatch showPad showRadio showSubtitles showUAVFeed showWarrant showWatch showWaypoint side sideChat sideEnemy sideFriendly sideLogic sideRadio sideUnknown simpleTasks simulationEnabled simulCloudDensity simulCloudOcclusion simulInClouds simulWeatherSync sin size sizeOf skill skillFinal skipTime sleep sliderPosition sliderRange sliderSetPosition sliderSetRange sliderSetSpeed sliderSpeed slingLoadAssistantShown soldierMagazines someAmmo sort soundVolume spawn speaker speed speedMode splitString sqrt squadParams stance startLoadingScreen step stop stopped str sunOrMoon supportInfo suppressFor surfaceIsWater surfaceNormal surfaceType swimInDepth switchableUnits switchAction switchCamera switchGesture switchLight switchMove synchronizedObjects synchronizedTriggers synchronizedWaypoints synchronizeObjectsAdd synchronizeObjectsRemove synchronizeTrigger synchronizeWaypoint synchronizeWaypoint trigger systemChat systemOfUnits tan targetKnowledge targetsAggregate targetsQuery taskChildren taskCompleted taskDescription taskDestination taskHint taskNull taskParent taskResult taskState teamMember teamMemberNull teamName teams teamSwitch teamSwitchEnabled teamType terminate terrainIntersect terrainIntersectASL text text location textLog textLogFormat tg time timeMultiplier titleCut titleFadeOut titleObj titleRsc titleText toArray toLower toString toUpper triggerActivated triggerActivation triggerArea triggerAttachedVehicle triggerAttachObject triggerAttachVehicle triggerStatements triggerText triggerTimeout triggerTimeoutCurrent triggerType turretLocal turretOwner turretUnit tvAdd tvClear tvCollapse tvCount tvCurSel tvData tvDelete tvExpand tvPicture tvSetCurSel tvSetData tvSetPicture tvSetPictureColor tvSetTooltip tvSetValue tvSort tvSortByValue tvText tvValue type typeName typeOf UAVControl uiNamespace uiSleep unassignCurator unassignItem unassignTeam unassignVehicle underwater uniform uniformContainer uniformItems uniformMagazines unitAddons unitBackpack unitPos unitReady unitRecoilCoefficient units unitsBelowHeight unlinkItem unlockAchievement unregisterTask updateDrawIcon updateMenuItem updateObjectTree useAudioTimeForMoves vectorAdd vectorCos vectorCrossProduct vectorDiff vectorDir vectorDirVisual vectorDistance vectorDistanceSqr vectorDotProduct vectorFromTo vectorMagnitude vectorMagnitudeSqr vectorMultiply vectorNormalized vectorUp vectorUpVisual vehicle vehicleChat vehicleRadio vehicles vehicleVarName velocity velocityModelSpace verifySignature vest vestContainer vestItems vestMagazines viewDistance visibleCompass visibleGPS visibleMap visiblePosition visiblePositionASL visibleWatch waitUntil waves waypointAttachedObject waypointAttachedVehicle waypointAttachObject waypointAttachVehicle waypointBehaviour waypointCombatMode waypointCompletionRadius waypointDescription waypointFormation waypointHousePosition waypointLoiterRadius waypointLoiterType waypointName waypointPosition waypoints waypointScript waypointsEnabledUAV waypointShow waypointSpeed waypointStatements waypointTimeout waypointTimeoutCurrent waypointType waypointVisible weaponAccessories weaponCargo weaponDirection weaponLowered weapons weaponsItems weaponsItemsCargo weaponState weaponsTurret weightRTD west WFSideText wind windDir windStr wingsForcesRTD worldName worldSize worldToModel worldToModelVisual worldToScreen 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