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imgwC1flcriUDC5nH6+uGqghaQ2pwvelWeoKiCfEgODlFH15G84\/w4SlZJhAcj9YsGHbUL0kbqr6ifgvPeh6Gw2n\/ilEa6nlz0AVlnC71VlTN5I3s8UeEzMnzs4prRrv4K5ebDsz4oRC+BkeglQlVtjBrwoyBroW4BhKxETkR7\/aPcU4pLyalQkznTpXf2+bVR274KQBWCjZDtVrkjchNdLAIjVLx8fW2bKGTVsDYtprB9eF98QvUoeENpPgjbqzfCRgL\/SwK3yxsRjVqdXaEgXdQejepxGJCs9A077YBd\/pZV8zag\/u9LkLrLdr3PXHoCZDayHaCVb5p5xLjavmFbu+9hihMYvuYJFDc2wPXSBS60q6kIDJLtEFzaJIaCEl6MPvkq18Iyp1JUtZvay9C2h8yV1pP2CCyFrACzO9KconwGKoUuzeQMLedEdwCHPpHn7zSKmLxgnqlkz0h0a3EIarl5lm7tbaySZQ2nbEUU7v74mWodhKsMz4\/3wywCLCXHSrBF\/x\/uLvlca9jmh1P9nYX8sZ2HJWwBw0O7lpBCuqORVMGTC+WRjBNPp+o9eUJzwwRebrOEHmM1CLMmmHD\/4QyEca34XMKTtGkP2jOAabJSVphOXmqdAvng4w95I21Sd5VGWHQ0uFeTRIAY6\/8ZG2wUJtH6JNfWsPgMCvm4tWLmAnAGV3p3mD3gWR\/9ZiNltBfcPOkWs7BNsD0AIgM6Y\/1wv8YkxLng71jejUrBN\/SP2Xk2W5ygE5Cow84k2a5RuU4OfxFuY9vBdfRwy1C7E+RRzRFoCo1zqPmJ5YBluygdYb7ToM5yDE19l6v7c1Gf3qoundVZTWWAkPiPe5QQdd2aP0w2Jm+Mr1kur3CliRJ\/Q1DCSa4vRZOXy3HzPSYWKEDH7IjlGhLTgy6nTv8Kwjyy1jAWCDEvZuT1B4DOQDcTG6LpqgV5keTYcc9WZaP72fyPEkCMLeLFFuE89obKuvy6f8e9VRTWjKpGG0TqYbZqmEnlgEzMZgV+iOYWISKBZzUp3oeWKot5hSyjbLv8CPuAePmV4U\/codBzgoPrMdKj40vhH7Q1A2LX98Jjr7iWh\/IXIaK8OU6p+OYQUiv19sKRZcas3qVJIdocK5BaY1bSsbOvIz+MI\/tHbTWJTxXLM78g1s5e3Ylj\/0EPvdgRxQeIREHEMjmhT6dVvqRCWESUHXTT3TDV5lsmx9kw31ijzGHZbLBBfv97jAuOk9v\/0xL7VZB3bJKw0Qs93sR9PP\/KhfMmXcGAT3qDqLFoBSpxNa6WJBgUEppZxlBjYL8OXVgp4ffzAWKjgcltTXeTcFX32OztH68O3FAlZFtm1pezRZPIsG7rf6eb8oA1PeyBx5I+iLAy0QLoBI17rIs1CmlRo28WItNEKklnO\/Pr4v\/AwXMxQHuoObe2LZA4OhoSJQmgLwPIDtNeR7nX9HsXBJhHkID9\/VnB5zFJ3sK0FT1DIgEsSI3UCDBoYYta3nlGctOPHmNilVFH6s5jrQ3A2ORTMaquIHacG0KlyYngzQSQRx9ukpYaYRMlonHgWdWmZx6K\/k1\/0J80NnTAAfrBcUgiX\/tIsnZmRv2daxeACkzNZQ3zAoX6pQ1QOmViVqBARrSAmCX0WvLkXm1vPAP2FDvCuK19cus3ugqk\/HSqx0u9lbCy2VsMt5uVBTMSO76ktFSLMUCz9ZBTvSvbFQJJz5dwvVUsEUr38GVgkaDTQWwdDhRlymqupRRfV7aUtygCjy2MZaLGF0zFNVgvvRmrS3QY5jj+oqJwNQNY7PgEj99aMk+T8e9jM5\/S8oZM9wY60jFakK52hGH02ETwUfC33CV0IymquM5MJeE5ImAi2e\/AvXKOiuI\/ISJAsNJ\/cCrkaf7Ijs5bBzeFzaG+Lg0BkiMG+ezl1uQGs2ZqFpn\/B\/Ii+iB2Lloi4L1ZLgX46gngCzJqm4P2qMtTKtwazUSFxvFq9YYYodLkpIk2toSLW4hHQi9gCd7wq7GVVua\/oAUGodpzIJ40Y+AmlZAVr\/cnPr1ETsfok52jfDG7xhbjlz3jT53brkDh5ZlC47g8Y2r9ezaQ8EsGiOw8W4Hzp9wkpc0ituzOZiR1laP74IIVGbSKmaXZpwrardEOcTCM9JfdWOpMpNIns2ULLHD68XDAIMeJ7AJFRJ86Y+RqM9iNxdIxlFE8zwBDHko\/sHQnJgkkrFLi89hxuoULdsI8qjVbohdw1vXNOYR+mz9jh8Qs9xsQ\/69NkuYMsgK\/EKMK9yTbiWeDRIbjKZiIyjhZPGoM2Xr9YTJ+Jp41lcMY0glL2snbfewIixiEyOoiwlBdBm\/YO9\/qPre\/79Wb+2hlIydQZg2Q6sCCN0Zrt0ZyCfJGZqr4Febhl+HoUKe0aTDfWs72vd5HgJM77\/CndCVXsKTHgPFK1+b9Fq0pfQIjSjEd7w30Cb7njlOYcuJjeJ+7d3NK4I1UNfQ7tPf74ZjHzwoBuETZQdkKYsyu89ltKm97L+Brqxtw0GtVTu8QXF+mUF64H6N7AWQKagzywedyMIC3CYrVeTkW0nU2jxKbdsFD6dWJYfSvcIOfY8u\/XhgKlUh1cV9+XNUvpBUe6LtnzfjN4kUqFVBktN8MA3lgKQo1aLcIJEQA1Hh5N2VhfTIxFzNyN8SxF3YbD\/qRPBsrH19Y7GnV1HEtAjFFXhi1uJ+nKjyn9B4kci3j2pudbCJxyIghIIUDjimKtIQQm0slSPgwt6KQdYgxW0W1OYd0WcXekuA0iHFyoYdW6sgnKW76eHQvikETMnBRzB530k4J6MJIaAbF6DEy0dYJEiYGzlAKQ5MaHnsnfEIVjdMQseAHAcreNZimj6481+X9kRbMAxNQiYy7lL5KDEI7QcfwoFUXWj7df1X0Yh8P5XgeeHjdSwNj5PCY8vtpmhSv2DLFXqsFRyw9iQWxQzkmGa3IzUW0QYlu+gfiJwOMHGT1l52zRakwnQdde1c1HNKF+P0DNB9Dpd1EVbODusGA2LSywZ0MtSdNhRz3vdmUYjnKidLeIvmPt1jf5U2zE85mNYn084Z1QMNCndS8Yk5D+Rx+\/ZjaNrk1VquhTpW8sSbaLaQ1daF2y5Ip94o6r1ITS7ipozoGHUqhAw6vK9\/iziiCzijyozpL7y\/3EQeHhNRDaB0TVEDcRoDuUl\/AjXXk2WgSNqPUww2AEBt0zX9M5PgOfyO4iGH91haX+55LXKrMlg0d6I0h2ByGOjI0W3ZqKlqdyDqWxS4jyOZETpInwBhDeCBN6Ib3plf1BJuitikbZwqLjNuO3JL2aMRYtdV2PnSYdows+gWJgrkhhiNGTO7HNn9CLdRhzssRciGUIzTj64AjV0WP7M1R1aXHeADk2\/ttUENdpxpdueUEbB84VfU2ma0kFkIvvbeeqmTHdLgioAEHdM\/X7BOi22b37jDao1i7HRDYFMSp+i0vc0yaB488106M2CysvwsC6pAmou1fIAasOp4g3grj1cJ4AmSPCguAJ8XQB5wl4vTzzDtUV7V4pPxKINr2tQleUk1cVZDtbubt68rds2uyku+wqAf0hfz7Mw4nCOULAmefvDJeOHaYp4NtLotSsF9jxFJeqWTLT+Vp\/gdeLXrBVscgWQY\/HpIEuJyTgHP\/U9F2xUfAs4M5N2BDHNO4l3mtdP7hggCBV7V4kMVg02q9YqqlUB08iHsLdB53dOtvP17k0XP+243O4mMNfeASPs8p8WlYovchUtUimQCmKqDSzSt\/Ek1ciQVvzsUvLUecjSPH9RToUCOS3ot9E8h5oDWzLCnF3HEdgWKmDLtQZNp3NlgXg8+nDQNmbAqPx8E21uuYBMDFaJzGZsPdwrHOrqcywONVY7SQIjB1yRnQPYDqB29vc7v5EIr7GXUoZBpN13JNvoBHZnMapQoJ19E1MXLz7KyUNlyIc8OOrABvXIGx5zSSAW6Q4Uy8khd3cup7CEer8LSws\/fp9Yw3hJloK5HwNXXLV+jZhGSo3sRqvZAphDQVSWPZfTkCgGrp2GuuL60DEngP9iwPjgd5gDYQIJ4WhmhbUm4UdADEIKGAOmpCLJmoCPAahqWjU0uHIsOBOe3hhk36JrcMHS9\/1zwecc45esF8Jx5L1j7hzWdh+t1OqTCMHj7meU7p4P7jP4q7BVWU6T1yHLdg9HN8tMBGQSAdLAl1P8Pmznn4czLg53RIZeisnVUrTkH+43IIrLrMCxavaWsWAOJgF8y4TvaoTVzhxaRhEPXq3H+e2THEU4zyMWNB5U0U9WmNL+onGmwtqLGTHhLXCWI\/3YDuBSqfoXlf\/K5vBz9\/a\/En2GYxH1Ot2jCoToKJaQUqH8uzO\/+bfsROScJcYlo7NZHdOWYVm9czDRV6pFHKpvVYWzm+XN6ct\/dQdMFcTE7b8Y7Z0\/UWB4+yF28mEvtYCesDskzkFT+QMg0megSD68VQIOxOq8ppaDO01M5Hu0h5GROwylvvnZ2luLkh\/dkkzhHpwPtpldtJsIHU8OhGXuasuwse8JpDlDvvfhnwpXc+3sSuo7\/4JwoeS1eddCeRpKuxsy6cLuEk0OL+DdZbTrGuIMunPVIPNJB+179LMDdldNsaDW0gpX7oURJSEqAUAxbegKYFPagcVyqTHlPDE6eb9w1Qm\/Kcas3UId0bgtjcQOI76mEhsVm5sD5cNg4dH8hZALx3ExpsTQ1zkniuwoJOLM2YeK\/HrW1g9+wY+MmYrYTXa3scWqQ04ADusA1eBtRcs66JMuamqUSlnLK62A+O9FT52NVqvDOfUIo76BC90T9nM2h6pjP+qBX+ayCgiRD0SS42\/qRHAtvWsUu2mA9OgEkAETIAXT1FmYXrTbrA+29PqJm66oZE4Bbptg7aJyy3UIroy62hLmLHm9uqG8ukl8Zhq75X+\/1BmLIABeZuOGYgVgeNVee20ublQl2bGJtndOYLmcDR1LDCnfexLqMpcHiSAE+nwiv8aF7SncvZKdQERHohEHjxQCrHLPmpMjlOm7+GO7dFzecTPuUgfGxbuQb47QB638B2nppalHjZIaUBEIEWXsizN6jDwxDHwYHtktR7ti5E6\/3Q1bTqedJxAQhhCiqJ3UoZeNCoU2c3cXdW\/EEPvl+hs2F6DC4\/5ExF9IpEq44ejzEu7kg5Y5EpXPiff7YN\/OAYVBsHdKzBJnNX9Oytf3ck2QHeBQ18lapk2HrDiRaHOEw8ntmaRCpVTeB9+gznEOEisLBcwxcIRYtu7fVLJqbBwSe+o6UjcEHFgJhnW4uBgBX4RtAveQpghmkaQ9qCCAWWBdh6zQW4TsApsXdsBxSAshwOcgAwPviWtAnjs+utswnIgEr9UNKn2prAtUxIJAIGBSoQciMl\/d2bAEh4huuo3B+GRrYVvzYM2qP2+4cMP+x95vOQ9aPub6KmQGPBA25Vjjm9EUDrQERgk8i\/iYxVwT2qYbGDKEAhDzQccDPQrSlRLi0t99JcxXhKv+K68n9r5dco59OLLJ35hPRjXoRnMPMWvUyCKQUy3lnO1PfMtJip1r561Row8Lnfs\/tRNEs2rjoSPWXq9b4lDYm\/pFs9XDwxi0W9CwAJSTO1ZXIc9Stcgk8A8OIy3ZRLvVQYUvdbQE9WV2FbmJc4b+f33dOU5pZFsODUk+uX3DI6v3O\/Rupdctn0fKgNj7VLYowRx7KsbAomvl+ZW9a7ibMLppT6ulc1hRBFGUns+kqMd5+e6TPgmLAjtaymhw0Gc6V4Xwu\/+ejE0NazegU8f7JphIjw6RDY3qZFdAAlpNQBnHfNIcgT4j1Vs89u+N0K9R4MBrzdrqs+vbqQTSZYeyILQh2YzCCEXiZ1e5rVMr2T+rcyGeON1gIeWuGD\/THCWRmQio5WpqATHGREykgchKuJ5j+B9gZZUUu9FrK+TPamI3vqlLs\/nK9Mqv6FU0HwhwZ3a80zyvp41+9yBV1pEqHA7ReaqX2PM2myHhSWRr1MCQj+9hKW1QNEdCY3wO\/Wh2AZJ6yoXmWPe16O\/yEbwJc75AYqMttZNTQj4EldVkviWwazqe7FRcDvIIvt8zXpuPS4C7SSrUF60W7o6KaSqwkaStgyzsfbc5BNj8coBlxnpL28D4lsArlsO94yqCBWVByianKJngz02kIPmgJDM9o2QolPwvtUaZbbnB7S6jyflPn6ra3OmeU0DQWRkntC3\/oHysJmPx22UodgB97P+WdgOd29Aq65y0XIuA1oPGpnBwZfFAPMZw\/2MDzmsVuiUpIHksysQm4ec\/9RKttaQkeJ2nhKLlbqo2Pda8VxEF39Ca2252ahenWb44fuRG54AvWnIl2TNf6G3jPeSHjgESzsYPEpi4ONC4VfqpSGk4Rih0AdMnOotMZIiCEb61ZhFleD76FOmA7IUvr21DpmRf1UuoMm0vS62P3hS+ULKOpKkQjOE7qAGrXmR5CgoTpJkmdMD\/rOqM5+FijNUB8+6a+Q2cRqcOw4uyhwgjyj8rSt4WjKvhD\/CKJVl9MADugOvW03sAsBU1YNoQTmg2rNfWWaqoJddhCk9ToV4TrNrZpI9MMS95ASlaVd9Dh8gmZqkemTyKa3G0h71ejnbD3EOJcB4SgUOAENkTJYhogOcyBBz7egVY8pEgcJXU9HEMwW02KOjfIMei0Dif2Pu1y35tbL9WrHjN6Vkh4egC2bPoIfPcs0Y\/qrBdOs7PjXASZqrT6nBSDeISOsdMFa4njeDi9kzKTDPtaClZDhsxoIe7k3pA0rnlScZOVv46\/HraTvs+mJLl1Uo3Lzp2xX8Tkw1JAu5J4JmHLCO2VWeZIKo1DL4OoT7O0HhjKmm32e1JP31icCktqoKwXrzsdYi19RUAwTv+9H2T98DFNKOAWbOkm4HKXf6IdO5bsD4O\/UKhAddnuAK9fB9GR9JabcjBLariD7rG7MQ+bC9tT15rmZ1aJQwXCMI1a\/LOxbQAEPwgxVDwdF0IApEe4S7ZMAn4HbV5NZMnNQc5oy9gHst0aiih73XoYYCPsbZJiKUIjCoZsaZ2bH0lybX90TY4JspR91Sgq52Ntp7FYgzchR3\/TOrxpBTJvUhEOYqTou5Glb0DvMO\/5h8DvsyJYEHn74It8+hP7gOxbGyq9ZgeZSQ3A+W049jpEtVGVPI51btHx1\/s0lmUwhZ+qSMIpP2Wy1am0Z50fNda3vNVrytaEyaUrHZ1+aIAKK2gBVbOZpdj0NdWQTgvXyu8NCMjZjYa0UyeYGh9KF5\/1t5HJi85bm+9YvIx6SSuv6hdbByW6\/6G73iB0euTG10Bd6iluuPKfEeW3wi1+QqZ\/oUqG5V55oBx2\/o4Vz1E\/d4zuZIEzCQkww503GwbszqQrzl\/UZILhQBTL0duxfyS0ag9gmG\/gxuNPn\/14GVJciEKPhphQ3BNQOHNTTEbLINo7kdJrr9s7YnuV2fWsCc0+1AT6U3Upmrsfz0WCwtnNvQ\/mSYJO5E11mkS4EgohE9N2gg5AYQJ2uLyHqixgQ2QwljApPbSsqhtoRBPuR18KvnP89u5uebXI5bSfHCsHQivTFKnYOnraWuDRC5JstOuUOXuB1E3ZyA+saMR+0n0igMkz+Vpfw\/0PEjNqT914g4aVQKex5I+jRzDP6qssMKKvEyxTwMkC29Y48Hn95AYYIlaHHWOoXeUAPMf5E0BYE6K9QegV7IL1zOodL7\/aYR21te0fhfQuPHtKI2AwoUiZNd5OMjvBxfG\/vIRP81JGzC91n1Xi4u\/UdVxhtAq6fbjat\/XaH9fNyCeT0zDkp27TAvIfAgpZSxhAPY7qXDq7mlCTItx0zUAJRx\/JhYj3GZr3hYr6q3OeaP5N1655lnC1b5RHtxEWBrWnZTyzPNQBR3oQxCmUXysjBikoVOXh6NgNtSWzCqaPzAV8exWzlbK6621YG0JflP5HuCZJE\/0kVn\/kM9dkoHhv\/bEIdW9h61nHwSHRttsZVkoU6ZMAkaFLp67sDaTWJC4LqKEoS4P12NezXp8YaxTGIF27WlutBfj5szUNX64PAT6+WHs28vRLUxqh5j7aoXP6taNbNvOlUakaXkjx7d+KW5Bz4npbktjTik2Np8brog3ajZPV72w4wI+Mi9T\/U04a1eBs9udkksgx+SmfHH+kxlg6m0BNMpVFfrwBls4u126SlKaWrZiWQk8JlAeQHfi3ab3feRL+BfSFmdpnrQwfChWJ2crTrZKVN\/aOvAP8w1xLKM\/XOUa4K3r6\/mC1S91eDVW1QfJMJWw5LL3PkXy6LVvhbeC4feq9gim7qRqsr7H1iaP66CLamHXjhVC9Jk+JyR+UFseZ08vcw362S++2fIx6C4YehdZxgKgaMdAntlaqUA3ZcU05g6zt6kUvPOSG3BJrwb1hFXD02BoDMapA1FJOYb9Q+wmxaBXj+e6DQvy7tgxvWnXb8KmMr1+hKQESvgyvV05p19gbzR3IGGa\/Yi5fbAWeRO\/PaL2Izaz7iDylOeT1kVkgeOF3b\/vjum\/yGsMiQhtStDZz5q7hlFOheXNnHJz1k4TLZHOXrdLibpbEzA+IKwvOepVENf\/sM1faGeLBlWMT2gQk14dhBr\/S+r0SPCBfKCuwCnxE4P57MF3c8CCmyllAN4vzAaHgneFf84UMIzIxz6czkFpdUaEcYijARoXjgH\/PXqhAvZTVF7t9odEx41jaF9XBSi\/G0z12weNlt9lxCF22Af19XSMVuqhc2in8AwzjN0Yj\/DTSpM67ZFGZcx7DjXFrkpquOj8MWIRK7GSe7i7TQeKeuj7g4eRG94DpXc8nmApR5V80s32297ArTyNbspWn7AZmswh1rKj\/LhrERzjdcqcAUBcZRJ4vGoWpmtvvySB5GQ909DQ4nvK1qeR6l2ilIQw+DtShmJMR8VDy2fsvB5QAQUneZQc3VTdBV4zDrK9bBDXa5FCxQ7jlXA21Tc47DLA+fz2aus5ddFl\/nqEPOyKv7gm5Z7ajrglROFuXMm48WWuHEJ\/cXJxeqAhYKQXWsQHFuofu+1A1bSu\/pNPgwXh3CDqqQ\/PTOEY6Hzmno7DYsxGnzIVbtIVoRwMBMkb7fX9BmBmIGjEKTKY1aiwoHKCasgobrIs+ISiY+PIqYtfWLAslx4DNphTZztLeSUb9sLEFVzhBfkvBtZ65\/NltwUfGibnsNRp2piW0QZZTSP6re3yavwf03nHm8J7rKXN3p+yQo2emEU+5nBz5Gnle5xbxcqZxh1ENlokdmPEDgVsakCNqomJyYtBrUoEr+M+jcwfoluiJxxpxztnGPmau8i1Cvx2QohfauZWRLIDeRY698nB9UZSwsjPoM4iCxgbARIUonbFUsWqAKTmWkQCtKOVdCVjQZkVuypYyBkihHO9anL4XRlHwy7E+ClZqG1l+e5BxphsdWV8C93isdnNUpcNr5O1Dug254qkizY1j5JvkWCgt6mL1O46aA3mj7Y3rclvEjdgLWutdvCNK9fEWXCawMk5YlzFEgGjowkGiXx74nbZw5BTGebvdGvhB4EntdEcjyGIrllLIaIhudMLsyslB\/bGHMILdc0F\/9L9ATiefdZpxwhwR\/OW3nozPN27ncuZoU6keXdVcBTKbjrnx\/DyPMh7oIWZDQF6dcfx2kc4vs53G+XnXPQxVZbKCivl2jRiji+HRnBnE1D1vFuymn9buzKKIjlBC3GL5FrBntgtpaI1HMYXXhI9kOHGyNDghd0kaCQfh4LyfohW8hRn8Pxzd\/\/3E7yvkeIXqcP+N4nAlA3S20MR6fxP6ZNS7SwpdGw9kPakI74VIO0YxRJbDjmEkNQGakyCh\/SLKSt\/S2dpqRNVu8any6P4DHqcOyl7\/YQ\/dWeK1oefCdvSSzZF5v5BtR5uOcvuspDuHrfF1DH2PViZTt5kGIi6wNxXt45JhFZp25vd39xu0dbg\/Mf6T8yxCqb\/6x\/6dKlEiqbunPoraaKeZGQu8J1ufzdqTVyosWwWF+BSy38kxGUNnnVAU90V5HmfA3HplzMfZ51iAjKM\/HhU7tNmmSM6d0CHieLg6lhr5JyUYuID5QNNQvj2MaU8SqWCRmNJayqKHwD5pSj3KWQzKMXXI1mQMW4SHEUJX0PwL0KWU4Nh275LykURm1E0+vxHdD4d8bsa9ynkbFfAPOsgfalgIsbcPtu7YlzRsp23mrRzwlGoU4Nsd+XK7chwdL\/tDJUMG8dLm8mRuTankUjFUHXSyEy\/XlZfjupkux1MrPv3P3oIN1yP+QlkvKTRbbIVbKmVsih1FPOVDS28kG+rpNbd4HYHkiSw0+mWUov84+hUwFfvmjbmBUWzLSXuyiccjvIc410m7D8bolPghCIAON\/O78vLbkwc4Kd3\/8BicK0daB1DJZhCDtsSb5uaZfoEoLwh1NAAX8LaeBXe8pF9DPZ+vjsPxZUNTOuYnytaTmdLg+K1\/ELSk0vRvARPRWh\/Eriqg3btDwDOfhXadtbVGxt+P+plKZw\/9LcvIXYPNymkiord\/hF20cSu5tS3jzmoqwRnksZa3xzO9b2R\/sXEgIMhYa5gV0w3S48Qhp7v7otYY4uOTl2F9uvzguhMH6v3PgsMghcKLkBl\/\/JC0mHrwnN2AGNptROm8BbXje53zg+7\/pa9ghsoUQaeq\/TkMd\/yvOlpj+FSKtuDokckJ8c0APA\/2\/xv0p56dY1hp627u6+YMV0pXP7vKsbHXWhnHB0MoJpkFBu7P3yXG8kzGoR8eE9369yJnHyuwf87MjlYazxLaQgdwJGyVnqY\/RuPJ+KiN3uZUsVi+KFPKvLYXErnl+JxqteVkUG2a5RrCHFRC6dRrcYbGrJvDMeuIF3ieKzFem0ttvcIYL1sIMfaB\/tahFlkAT\/ExszVu8jYQ4VsJil4P9KvCAbmWKDDD0\/fHqc+CrMBqQxZU1XLzTReCHyK\/L8V602CEbVK7PL3FjVb5L1B\/7kl4jKujd\/PYK5U+ps\/CnyuT+u6P3ZGRFrMYejR+y8XeIZAEdQsB+HSb0dVEoEh1f\/i4MoLEDPFbpbzeXAq06\/JEAR+u8JMD2tGH4t20\/SjYuJikhZpswYMH5vieB\/J\/GiHgLljx18ZfRNy2\/Q+EEZTmb66WmilMM\/0\/yiPd8nPwKowQFZHlN6s2pwLj1wItAdP75HljlPCQawwcSir7S5Anpxydugz5d6rW00jRdfrRK1EwYQkApLjaNwt8v7Tcc4PtPTl\/1BMbooKBoH8N5an3w+GvVmfWQmkrbzqSPrxIgKCB8xZhyGiFqaJWSuL0UdnBtHBOrf6CiG7Fe18mfH3eWk4oEY6oaHN\/Luhv5E+SiHuUmbRnsCmArUClAv8\/EyQGC3yBr9CCsdKqCGvGhB4TwZ5+mQv3QXFmedMEbyjFwsdg1aajbAM17QMitnsGmTqcEuVIkM945oC4Wy8Rb60hgdfcqLdC1ihtAD+f6tsRcm1iA5SrZ8VeL4QFdTAW8E\/8oV0TFglB4F4IdqtKmJX3ILyclD5UP0VjdJZ8Y208uv182mzFxai8wFtuX5h+TG3bsMMp+4\/i8y2xVvRCWukFqZTnkSAkdUrTqTl2a18zSNIw3LOsrmAi\/Tv279hBWcVyndGb06elLe+zis+RpwNOc2SfRhvBhpeQ6E0qgMkNIx9InivHXmde7UQkrKnWPtQA4ArQLM9KDgu4TEjedZN7+LJzPRAf9imT3LqzVL3dZRJ+acBO2u3aQqIkTuq6TFSHri++mXIsdEsFjUypUo5etXrDlm0nOrdLCYeYAyCTn+vcizzLL9lF1c87O2DNWErIycgRJgsiBpyRa2u7x7Q46a\/WyvS6Pi7Sode+iuXTOGw5AUgYf1nUVEWWI+7JgH0TE+Zgh5xdZhLpX9udmJwCTT8EMVSNIG1j72mvMCb00Kwd\/fAoV85\/rp8sLDCmBGO4+Iqd07vwS09qzNDR0Kn8s3ttwmZrliIcbhQ34VYuK4luCVJctRVPcDNFns3Ll+keJOhnNBNqTf7TRisv8Wwqx4IX+NTFlC+bLqSmL0M\/lKUzVZwIcIojdtVAHbQE4O0IC\/aeuKjtVHmPnsECnYiqf176GU9UY3Nxlf26i0iK6OjIdeHhKxFpu5\/aPEXrsAbdjfgyAvoqwTRP0pgw5h6XLKCpvX\/cdjuYPFXg9joJFakLCy5lzvKrtCwUSrtqnOl5TPLIZOUPOeWlNFdKVQ7E5Y7\/TBesVRi7GiZ75egQkL6VsCW\/woLjPeAiJPWfy5q9vxDDD\/NL1H2S3BwQtIaRWZ6XtJLh5gqlAy+0HYLVr+rWPxlRmIRB+gFMBY\/+ueMTf09Tutf9txravyV4a3fZsxKfTsutoJyOHyv0wvMrQZOyOW\/4SoGAr5GU720LYftPuGqWUU3TEjFGhkHNGF6xaS7HHjqcsyQ7fWMl8bBcznjN+WYdRal6B5lWBtUlgcFYfpYHlHtIroAEq2UFZuwOa2r4xratKz+ZiThNbJhVfN1iZE5dn9ztvQSLrq+nLeiKcKsBaV9nsnbD5D6AenTrxgKBRrbY4UXsy93qkVicVvcwA39ucEydqD8a7P4hUuPK6UQ\/iomW+MDk+TVkzQM4bjX\/syhiWAaOILGXgSXsWPt2n5M1F1wBxmmQpKJ9feBEYyaxut3+aU+8PPhPqgnMuZsEZ0M1zHR5pIL1FbeYcOIKnWt\/OlyD08SVQAJYQMISGuEviT5jd5RU2CZfOxwEv7WKZJ4PRQXJsQ5s74BywD9Km3ex\/UlMpaBQp6MYtjtQp0YgA8gtAhDfca7qrWM7KfWkGlsA+wKgTkJriD2302vqo1JQ3lC8IxOhUV2LoFRywa7hB6PPHMMzKHbwbu5zZIjwRVs\/s232YExM1lTjhNfmpXaR0x+56mhl2gf926gk6s1XUqPMhQxRfs8byzTZNwhiatUmi3YYEcQ6LlpTqV6OmTqGvU57m3wTF0IXzqjJDW86ZsqpGtQvk\/wtwseVzlhGmW3oc7yTCl9bMffnSnnq4Irp03XopnA0T\/wXcpg+XtZgJuMjNxXhkIGMPkR5bYyhyAdhT6HPSVWWXR9TsHJ7RWAk8ZgpWKw9PoMNwalbDX4y66pniZknfZvZmhjoyDsdOT5E5fRWt10qiTyhf+fIn7++yqPBUWItPZmaDNnzioh5RvY+lW70oZZutd7BXTEizjlXpCXiC9RufkxI3JKjYG0k1kXEmVzimqT8LaBde\/nna36ZJ2Ox4xZIlgOLE0Raq8wt4NrYKuXMn9PHryucAC+8xrjpIC2PQEDC6nwU32qQ5un578zrpj8SKW5pnAFhNGylKhmfRpy1m+uh99UrqQ8X3gdrthjoFNeSbBhn922nCJJgkA4CAZsn0p0e6MRkqnXPTiFD6CJ\/oyWnaijCARp8KpKlOmkubrglxkRBwAKmfY9rpzoVUHjfMAk6lOxC24I1Bgvk9P1YgYiuORm0j0hnwQbBrdaTKlfBZZIVPey6rh3OI53cmGzEKTFEeVvPkVIqlGbMEUilh89SQYNEPra13eM25J1f5A5UvB2pA74Gu\/duweTg+GdKSzOxfNnCIlzH6ZdkWYgmb0vCjoJfI1oMO5joPqjm81nvz7hbi+srZ98g09BFcHom1Py4jOud32XvusjRPlbJPimJEIa4AzRr2f9Wll8LnYB31WVhcJsdenN9I+n37aKAmdXi1XipRoBy7VNLgN3\/8yk9sSsd42V6Ng11dJDzl4M4f7+feo5k5trN4rfjnOUri3xAEXxMTTfssNeCUU7IVC0zj5vBRp5KGkRVSIrGqWwuzaF7QVNI3BzB+MFZmfzqOphqgfHKzW13N7KPr\/hMRfrQbbClMZWNRaYLtbaQfO8SlFObNGqwYgsQMwooy\/GKZYmn4osZycY9ZNPqg9geUmYWXbD7e4U9Bcvs4JrZ1W34w3pHB1ZQiBE8ZCVR7m93Xz7HdOaELuRBMwFcxnEPC+8ntXnoclSynJDDrZ6oAmkgFqcZCOqFx1Oak1h\/5Laf5wAzPyTN0XXiwzttHzgRiAWgmVyNQ9b4T936wvuj0BJJGaLjHsKvMJ\/NSuI8Kf53K3XEYpBr7DQwP4OGXz8wQItIx1Mp2oTgE99ti03F9n916xq9vAjybak1\/l8PfJD+8oErtpHA15xt9I1l7kbQbyQVV58Fe9zqiX2jL+Kn1MK8hts0AtvGNKZPmp+is2x85omPtrwFZGRZHJbN2A+OH5p9f\/Cw8tzLBqE\/8U2S+pdqg9s7npcsxmOt2ktb0CYvAiPX5hzYY3yEG5bDIT8hJeSYESnS5gbak3F+NxtzFJPT1ZARJ4x2PBZRmIb8475AWN3KK2txtDgZuFOpHtXzHUUBPkzbVRQNN67aCdUWGRpyRQfxA6kBpY8SvWmQ05C+wusVYMhtBLqaM\/tWmtBX2Z3Y0avKk7e0o4+ug4Pzp6\/eqqPWeb6o6c9RO73JiWzE5TNz7qEYYeDQtH6WeZz9KGxItuxEqnfw6owF05UMeGEfsJ+fuGQ6gNH+e2926j03DfDAMPR0qEb+10Il+F6\/2JkyEOL2gemvZbHxK9NGcBK38dpZlTIL+IAcBA43SAvvu0zevZjI481tzvo1WSu2G3d+e0cHm1S2mc\/\/rz0hSN20D7wG9SgUR1J176I+iFbAYXG0\/D0NnsuFduXWHG3nbDRcdFe4X7QrYd1BhcRjXyreghzVpPpz2xqTjgHTG0uQZQXGAh+dZk2Hin+qTZ\/0vdkY+JZ1ynMe0VZkRC4FXVLg0YtsokQ2NPbAVuzVF8oMFjX9AibflwZTW7pA4npI\/\/T4b5VM2gHNR1t9+WKFL\/s4UTFBBSJQ0XUDhvsxfogn\/H2OwIsbcTC7rKIerP\/uRWdY3LQrogxXUYslmdUm7Jf4mZwfAX6TNWsHgx5+Yy8QM+WGTd6mEmR8lcRA\/S8srFW7onAC2txN5YbeLmNkdpaqLWpIvYHlRC+YsO4tpWMxKhtk7xc1xZBEF8PebpmFcbOrqpnXDMcWppIWhbLav42sy4UJHWI97OxgtEDIwOHrKEpGKmqZBzB8drQ5PSEONZW9mJGgw+Q7dwW7+wcUYdJtzIY\/ZBCPg2OraYx9i6aCOmvAzCiX2TPnTZJeNHRx33zpqn0pLnE2nTjLtIeZvZ1V2F51wgFsapaFoTYb12nppXlZd\/rsIS6fAyoZoDi2GLQWEP\/AREEAgK7wmUD21AhG0nikOinEiNF\/3RWT0NjId2ZjJmjtf2vWA+mnqK8EVdig3WIjoDao7wWhIBbOJgg7dTVvkPqYIadLY6vcx1MdvHKQ90GPg5eVVJfUt2x9enZj2EWR6kqkksi0vJ5mvKRoHkpEnD\/ux+28mw2geDmneZBjgfX+lQoNqvzrpUuiWen1vTH2Gc\/m7iRLZnFAbIDO4o1NnY3Y6u+rZbXx+EN9A2bSUpQ7BHGdooAU7ZcNnbEeDYUyqFxoIifIS9dqODZSl5uiVJreABL7TF3Cn5kEQfScY8przWg5RtZPk0q\/hHEeDWbEzreB6iflpL2k9xZJnnhUFqv3gHRVADrCi56MgFwZoV\/6N5d3pXe6Jb5ScrDGCuFaknQtG10YiakWRLbYYcz3ZS4LkNV60dErh4lJQDmPrJhy0HLBb7oNUvm8o48nGByu3fDWEY6IVOHR1fk0zb94xlrmWVVCAuuUgspon3+O8cvpc5Pp1dR8rXcKk9fZVsGbVpMRVpPSyZpwxkXTBDI2WK6IwI\/odSJ8CaAeiwWSrCdZA\/7oMt1qEHNHcYQmFYHDpxgeRPFOKG0yHEla\/hQnI9pwopNOLztwVYHJHuxKElppvr3eX9p7eZwwoWmg9ylfEqsTfalPWiJsVOKjVABY6tOryCKNKTaZRzSJthwLMXu6saxmXD9nTYbVu\/ESVEwZCrZiswzqW4xTF6s3PUNAAay8EZMl2UtGiqGCV+pUr\/koMdeHUCojBS\/OiDJ277Mjw+YM8ML4EGP9zBm2Ce+VDGHuHY0OnV+ZhXevp0h4BbIwKJNWdoAUsiypUD57EiJIpIAv3FlsEaFm3+atEG6qL9\/r5S2cnAaLYIz1jUKaBKR0FW0qxQyyAh6YRbLrEoUjKm1z0b6ocICcT+ErIOS8yKjc4UTgUbQm6FkUgIn5A0zkhKROJFzuPcKIoJPbaeDfvTNiasxWtlVy4y7Ul+C2zRLTF\/rMpvQHB7FQFXnVdUuvg\/rln9bi\/Hj4NsFloTeqz2aNXHpAUfbUZMu8hLEkJk5fkEr9c1pRxzo3beGlJOkaaVj2DLL81qKVhDwIkWIbemzcCT31zYtxNviV\/7cRyT+qXLzRCMKxa+Wt\/YVCAH8SBR37fRetvPnWFWPzNs9hvQpY3YJddvAyKYFPUJ7nPgDHtc\/aVkZ7UZegc\/7+W1e77HmGVB5CD8Lk1Ml3v2k4OQ+bx09drIchGHutn9qGTNvTvxKRaccAhge\/YljlgnlBO8tbmKZf6HrzrG84GtrZnjmMcRXpx4xRZ3e5KDPmq2K\/1Yp8xeam0u3OpHDNheJaRUzudrX+3khC3hwXcPtJKZu0c3DKT86XKnUVCKc\/Wa+tC+dTqpfu9\/1KS8VFVDPUylOleBXUQeAfDXmXag6xA\/ccyTbSDD86rL1oedkd6kkTzaV6WuagYdwmvwA39oG5m8sAxrOJ2nhry6qI5GdN\/QJ9JkwDFUDfgC7XsmMhSVRdMVjVKyxlaMPygqMoXFvH\/neYBzQCvLTkUFXM2Etn1niZ6KlzD4YSLRUQO2ZEe52wCtqGscMugXxGV0W8iRqVkDoVhozvTUNe\/7sqCW\/HCUrv\/an1ur4NGX1rkSd4OR9xKxNjsU3ySu7EC8VA1Ogm4HibLh3VvIjFqJSw2ljsYDKedOsXa\/Qgq36SbgwTRKYV0iKDABa6p6mEaIjMXUdHU3f9xM128c1kY0nXgXCopOLb83aGhIv\/rrOrkvc1vblHn8cpDDlx1YXQStYxj0mv7O3mk+ZyCJvscJSSedqbwsqrdD6WaowEKgMbM2MYggbZOSyFr\/E+hTJ6mw6hsp+haTjiTcJH+vVrcx1cT35ytk+VarKeWpx65dDhG9YduO1HtCaOjLPisGO8\/EKTBMzSrDGaWr5PRo9Y8\/qPYwkfQXChIGKEObus1A9BDZOSYEzvO9hn+II98nZiqK2vCG28oYuG9CeBxeBtIoulYvXJt4m+\/mmjTVhGXuyODq8ynmM1Ld6BA9kb8uD9B0Mft8B\/cNB3ma+dgDYjQfFI2IUORVh\/KCLzTt7C62tEYFGtrBgXz\/A6CUzn9OzS6hjs91FX1fXSmZTzWmDxP66i\/Gr8gTTbj6LEoEPs2uZ\/Reb1RhoKrozWk26LOAL1hOYirBaAm8MMUL9MMwOzXDrW4jg16LYfQPvN0LVLAewGNyVPn9JTXj8Le0fPXAmBa2AOdNlh3fMa4g++5+PVFFx5oFKNJGaLBOysgVRSYZnLLcIgQH+C90Y\/sCIBiMQnTgtR0\/1Y1q+VExtv35f28RxkTpHd5osJZVjlKFvGsaFRVXwLWiMh6ADGb9yejZrcCBdHugpUP\/wYRVJkLp9ukb8Z1jyutLcYtrTxeek70+AXyTVvJIxnEXs\/EO5xi8VoMXys2o3V++3I4B9atuSr0bZBz6P5\/to55COQ7q3v4hCaOdJmigZqlXKH11TLhmKFwe5hQERn+TabJq0YvJhrd8jejLMyhLyHQquZtum\/9M5cqVl\/ky8PskU5m3yulwxf8x568GbSEQY2zUleze4HfySxJufRA6LPb7bVDvJ0ysbmFtqrhJH1q2KqILNxmnsJtSyfxDkFKQSkkntTUMN2N4PgEOf3WXJJqS8P9PEJRbKqanQjoZZkwrbA7CP6RcP31u3Y9MpJ7vz9YkhKMirQnFspF8U+ay1JUBaoGRguA9SdhCTU8Osq6FdHe9z+T191Q4GO0ndKFDznNxGr5DfkPTWvEvglvCqtq5OG032tswqKWociq2tX+MtWQdQUsQmZm\/2NU\/Tk+xHXjQ4gnEJ1yhR9dtBeZFZPpKshey2CcG09voQ97hKYUog3HOl9dHrmsvkf4KXl3yplOL7h4cvSXAEB26b6d18oN8GBaH+Jf3UqWK1cD18cfWF2WN+RAWeYpvVW1sXd6z2kKF6M4M1lK36PVmQ1j3kjYE3s2kjAYfDFBfSvRePQ6HP8H8tau3onZh77SnmV2y42TnpNso2YQv+4NxlPYOQwWAb0BSGdPxK2vqbcEthY4jZ4VHBFRneKGrSB8m+4BDaoMqynsWBdMy4HYEwMGKPplIuO7UJQc9kVr0qZAPZzAemHDMFzbMNeGaMYOCyLVfBRBscHUOT77\/db1QOLmBHcWOZXQHaYokz1hr\/8UilMyf\/MJ3Fm4ecyPgZVAqkWvsbceSQjWfPiN6H1YoVcvSp7vGsuFM9LEE5qDLB0P2B3p+lFWoaT2ur+5RAIIYOmFXkMhIo1jmFaQHsHg8N5ric9lX8lvfqBZWDAUivfTRI2Mxi+25IGwlOZN9j\/vNDsmm53q1G1I6UcMphmbXBnabrRpiCB1apqHpH2byiMnrobq5EC4+Wbw5rxhjmJeMsSMUi5fJZ2C9Vwa7XoT1NaukjrAFXEjj5G0URExNkzRjUOM0PJ9F9aD2uY9HoBLMbNTZzX7mdohggccB4EAn+Ybb33411Zr86fxVr7gwAPc\/hKDZ+GQnRBWKr1EEm0f86eHLbWJaYTNdMAYdIQX0mASMuD8eb5CULxvHdFcv4KrKvHhKDh5KPTHs65jjreyKobRdpcjhArX9p32T7GeG8mu3NznAdDFXeARlxiy\/4djuZ7NQRVrxiFqS\/6WuRbUotHnJzTPXGFIUp7yrZuNbObpoxDslhfnaBbgJ8ysH\/N20YfV+8M0nM1N+xkHFivKhRyDsoKzq9zs+TCjUTZS\/pY\/6mqFSVcAKxaQMT1INEiaEaFUs7ML9z\/V2fRQBfbNdCfQ9cQx8PMbAeYeLlBl\/yYxD7E8JLZW9O8MdKo1j1T4PkHvtX4i\/t+xmDyjnLno408tU+LzeDAA37\/SzC7VON2s\/fYcgIhhPHlAp+7v7jRGYWat8yNFP8YrMQpI2dNRC1Da3ehUNi1A6iAr4fKW+5AgceHbs60mXN60y1K2uPH\/WKbUx9yWqo4mEdsw1TxGk9oV\/Xo4vAE\/C3YB7q2sZoYTi8KAOxBDOFQMXX74WqEt+L3zfdRhswoNr3a9S\/5gqy8d4ysE7ymEAGD6REH6VgN0B8tUVTOAjCa0VHpjcYZyO2h0xG7tBPHmDVDo9kWXZCSoijmpwMCuFoneFBjDfuwNuxi7SIuAT7f9aOKDCyvPNrVYD51ARhjp0X8BnbhP4lRCYkLarPY+9qxBvmLMbVgEdrDUkuyrPLHJ02H+w7xYY14uOFtEOoVCYwq1MCMC7oIFO7Ipxx\/5Npe1mbMKkNyyIKOVBqidTXQIHVGSCMynUYY9Bu\/NucGA2BrSKn8LmBIoycei1gRiKrTgnm4q37amdIR\/LKnXalRjGuol1aobF+D20arnu6G8ZAuB97VzVQZQZZxNKKaPhHmC0zsltFSwA7N3aIf6HpRLXR+IOwh11rOSow5PmyZpjS51P8OHEz+MN2IQiBjt8z82JVgEvl4WkwkHMNiRTWzj5vCLWIisvjRoUF\/hzG5gkqb2PRKuZkz2O\/1hXkAaYEO8nartGCV2DZg81eLEU0LaTVG9Paya\/pKOeoRPdrOfQNV8fxBP9Yop0Te9KAgkhTGsc3teEgTFN1OCsdWcX4y+P+Jy7i4j28CF\/H5DkjNSqM3OkhnFUbxt1WGdaFwsbju4F0nMhdJOavR+HvtMKv4B47pr0zUd\/PVo\/5HJv7s91\/PoQBwVkyqGquND2LjFkQ5CdQZ+Zy6b9ESiNiJTgYQwzDdXBFRlo4g5tTtwXGm4IW65hn7UBaeTVHfjnN\/VAnuXJnDN1GcCCKPE6SOXv+IB6KjWKXI07vEXCMUU0IHEZKQYZfcOaJ2HTCson6SYVsqC3YCKSTjxsc5ad3pz9U2Fvv4wiB\/gql9FjZcLHK9aAXOI5K2vL6\/WXabxAGXLDI9OEsK+zdc8KGVtpXofjV0EV6yt8SsWJe2XHBVTnsWvGUqEildFkf3pzeOzFJfSLpej56Yk+rhPjC0kkcIWU0wQOWhd4TAozfsXfp\/0q14vmLWsvnv56DkT80U05eLclHQi0pNGrBXraRRY6FNBtw5A4i7\/wEEGVWuD9+ulQhD7VcsFi5wuezbl9RkU8lhWyVr+HadT1RYiZqxXByA25IgoItNJ2D1SglewNsXDGSs3GS3E1DU0240kudnLvv0m61HloIdHcz+XTAqAoD0V4Xfn1YYccC\/mhKFNHT3jlla40Uuww9twLUx2X\/nq5+sy+4zDM1DfjjP0Qqld3j8mGLp2fjRc8pvfphGuoYrDlLRsancN7ZupPnC\/R4IzMd6YawEhEycKBt6jNSC1ncStVnY\/qZ\/O0zJq94y3gYl1qdrr+lPQ6DPera5in0AJfNS6e97g+W3UTYvfeh08OmBGJEpTA9WZhiBVAT4j\/jCjE953jfAmvRG7aQ+aXWywU2q8c+9QEiXB+Jw6Vry9a7VYi0IZPMzM2m+Ir9Ra+bIZHZ\/R07CoH7fnmzRKZWjA5YXenf8i3AJjcf9DCN4sfbNcUBUTvOU02t8YXk5MQMWhGhrny2jzmpHfikvRf4x6XE0R9KcNCE9xW8A+J\/w5GdY4afRD\/WHQw7\/wQN\/RC3\/3nUSHFCfj2Cvwd+xxXyCZpyu3RORb1AY4CVCV6ypUgTOjAakt7E95amLao8uZus81XHcEveVTqbXY+ZSMcdapvQvqLYQb6RwsrvA1lJhm7L2n9PtIhdxJrdOPPNqj1ifWN9t1HbR3XWh2WOf7umgpr1QWtFa8n4ZMTj1FqrBpo9B0qVhFUt6epOfwrvZobE5BBiYqK1RQq7ccanqcWCRj70H0U2MMRCU67\/yGrPATPzD8oip7wm2HSDuY3rAELIvVRRbPc57RNkg+Ko81o0O2MVeG6sydjhveMR10g4ISdN1Sw3\/Bhm65m0JrcNFpVgkvoDVUFucarC7aC\/v+e8ypqc7OEYAjQPCwjsL+JSp7xNir0oxECTWEOX5kNVh6+E91HC8Uwqdl74d\/Qrz1SvwUScBQaZ77xoxlmoXTHDVSwpE3syMpwRrrd7AGQznraZul1USLkZiqpq2v5E4w2\/I9O4GeM92sZ0T+5Efk\/3z9P+eHnAABi6bFA7GogjeIpz6GXarZY1vMYOI3eGQDbkDWjIlokOildX59oWx6yAc72nlPFXh3yGRMGXOppdQ5G0sZ7nraRDJ6YTQsFvro25hoDmy9upy1YogLSRDCT5i5VK\/7s\/kKKseSkLI3+OW3DSzf+b6+yf5Gn8EbQbs3QQtBr5pBcQoLFTWPd+mOO8bbTfuLi6boKDqLPGPU5seQ4cAAFQyqogGBnFx0j4OWytLxfFDQSGWmfF5Vgj3fDw9Q88lpOLsISeUOTySt\/0sulybcUUes7dgfXfNUh1wZ8L4bXEGK\/DT1UcETNsxAlmK+3qJCozcQlIQfqP7HnqceT4fHMGAnX3D00MRdp4vl1dUkX2WxVq0w7B8tTENy9XODbSSKzt5Of7oQZHlnAftyQuDfgZSIHVsiIS7k3ZGeppSKBodQh\/4iGxIh\/R2irYVzrUtVZh3ZJtKCkb56vd4ltSoBmNOQMuVLaqpM\/ymid5ZQ3BtSXLK2quVTiyGz7qGY2t+hj3Vm3QZZVzUpKhfy5z6J3vIPXoE9vcqF9YFftF1T9g\/bbh8Z\/AfrLdXSXRZUbaAostiOhKByUQf9mOel3jOrmsPHc4KhfZ74H7HvKcjiko57nLROYTC5XzjkxQ\/ZDfdBMhJC\/Swh3waTbkkIc9Yd8rH8ejCV2Ea9nOifLDw9Ln7ewYa6T90LDdC9Z99Zmu4AwSTpiUtR7g+uoNqUl96luJOAB0WZR99HD256O89GgrlwBWFXJFdw5v4L53bFOuiCXSrBcEkkcvB5UePjQlX5nRAgL3zSXPCnwDAoMin0U17Iw8OCs2Tvflc+HIhW96mZsRc6PFjrvaE6\/\/Ck+KddQDeRuRBSSruNURcZS2CLCTBlf4\/yuIIhS\/wPykrduQ4I0SERogemSXIDg\/XuFJw2iWYxXxikOiGbUkSAAzMywoPD2u9wLib+w37AKGgNDd3nvlEqUf8q21i2RkNKiaBIlwlFAuHBY5\/2eW6GDIUiDl2Emziqp6n3IA9\/1WeigMRD6WqcyC4OvgZ7ZUD2RUWBJ4YwDmsNNRtoW4R0A5MNX8dqoyNVfgPAc5rRRf+kJKaQUEprN+9dZWZGTqTp9Tq4IkMIy8ucdMOIqi5Raa1N2x+tJvN2NwRBLkeXOjrtn7FbYfMEnOIVUZiduGlDNnI2HZ5I8ucF8Og0XZh5UREmUqbkPT+fQLnjM\/Q7i1to2dwnPcvlyjpxllbn0wmjWBuFdI+2sThEIME5t7XJLhaxl2RkTUFST0vl5VIOhLKxsVWrMezzvrYnrE8Am7TDAmVPdTWhQVYEUENIJUQLD+8HjUBA0seBFsK0pNAsEXXui\/P7ZZ7dETO+um\/EbWI2IIqMUyfgC\/7dUqm8qDv8aWrcMzv\/VSftvsY+CZQhqpyLfXOavtw8Xij2JfCda+gJZfVDuiEWEkPoh8\/Ceq63E42N3F5Jn8HUd9E7+mo6U6lLJ5CIJQCADuB\/uNjHF1asJol8RQ4Z2xEKO9W8WFdo0c9IpK6uFPhdL+JoIy4vz8oX3+ijNrdIa8RoJrcRVEe3T9nR3XJJfEVI1JB7bL7\/8vNW6oPg9itjlh9mdS6uZI5KCFVR1y1622V15OdfMAZs9\/OEVw60an2uG0+zPd09rPB7b+bkHIKJAEWfuw+qap5++chNE2vEUtSTlOSZC2mTdRKHtkQQn8pWrH3lDW+UMWLcwT1iiO\/NMG2IDvHBbaGfiBv3VR8VFmN7gOwfca0F8qXs93T+Lh2jUNPOHf3eQpcDdH+4cLRjObj\/pJryvfv5CK7hm4TwJP7jC2GWp9mv1VvJ\/cSxkXU54++fllDrOEASHSnr+d3dqz0SClbFHZNCKhKKR7E+QzlQwUN8yrHi10gKWwLSQndo2j1dmgXHKsziH+7ZKA4u0mKsZEVU7LaUGSof+8H74T7LDLXRAopeJSEL\/Q13fD3N9fZfFwUzCe7HRQXe08p6xUeoh6SVbwulSKCXlGG23SlABiHXD28BP1gyTXPyx21Wdeg5Bf6Az0GXovcSeb7WpWLobsflrJzLLnpvCD6\/Qr0XYg9EFTw50ybGahQEH7HqT57Rmxes6Ifz1I+84Mv7DivMkBe60Jfyk7UOieXZKLiWjkgibWQBTqlcMkdeLZkV7rMR8zltvty5oIYeJ9DGzUS7ZRnE+EiMeZb3\/opQjYECxc1U+rIPS8KKVuIyl7OjRbLm9ktd9rfl7PewtRjyJfdRVtnjDrkXTwznnN47gPWGql3KdITOxcNNPQDivTJGZ+R2mmatXvbcy5KTv9wdg1ZR0yzThXzaQeBYaPh2GtQ2TfocRdH29FZ7dvbn7PCo8UHnr6tFGl7VhhzeAdL1+O4smotfaLYL6YWyG6PrBTzKBIe8lO6wNdTDyZT7Rzv+Q6deWb5wp7qkunBnAPY3EYmlEcPZTQrQ\/KeCZQXk25VvAVxOcDD9i5LMJMdoDvs9Xl9x+2TX2FpjiBzjkjg9KsSm2qbOmTHOgE81S2NLGheFr+Bm2iEUWZHdYymyvvqSP4cKvNGXPhhsPaoEEMMW0TRC0W6DCvZXbeFsfZ5gtsiGc6Q+QPwj0reHIPxryiHrn2qB6iu0C2e\/fHIFI+vmfVI6ZILG5aP2ZHyoE4\/EHlbQLdLS3wjLCcZea8mce\/1oNuawSW2a3HHpY+6ccp7uJYAwIeiFX5OvPZg7uOoCShzoYzRE93RX\/DW4EWTFl4Bqfw9t18kNnq7Kt0ksA9mj9XY0LENVBeIoT+zvNbc7cvCBP\/tyY9ZMEu\/k7+0js+1aI86JxJMj3z4P\/9ZMZ\/7n3QWqy7BL\/DNmmX8KMjYJLVhX9WEq231ANCSQrrqPjb1Soq\/gM1upqc\/HXmc6xhmzcv0E0sorNA\/6hqbp21Htkn2OGkHte4JZ7oXjBH+74zd4TOmeQI3gBtPgqUzPPx\/XrAlIfsLL59ezNMYk7wWvtPrUYF2op6opfWR3Qa7ijRO9ZR0FDOrvokDOMm1NAHACN4rA59SMnk+EDyWZbLOHrAH5i0ad1awJ5Lf8m2vbu+HAoO\/dXn7D11wVzPal5u5O6dGq3afNQi2SsYzmzd\/ZpK3Y0mbDUE8a8A0yL0gbjNlmBn\/OR+NjFiA\/Wa6NWlPshOJAu0\/+s6NlPQdF6zjlMZbe39\/6GC9qfYA2sRf4JrwTWASy72qTabx2NR\/LNNfpuRdz38fstcDCpdA1bXAi8M1l3yg65YgsV15EbzCbk5uSXGlAvUjA2OhgApGTne5GEMX1dHqq0SwI136kiCj9Ezc1D9iwswsi5RyO964igFOfPReanHY7Q4cqMviPBFkA9rL1QKMXwi\/FpzEFFIRCYU4uX3UX\/4Zv8BBcGGKxoAPSExCthEf5QLaYdh4Ah75WQYfLIxGKxawzg3n1bwRpDHTmjcfdhhKFOnQHKic8ui0ZgE7eh\/uNiWaSpexCRJ+fWFQYo4FdISMfDQsRB8ShCVcbIxFN5ldD5ibi1M0bnE\/cFwOi331VnPUaK27q4mkgis\/LDZMKsEeZlGDXsG3M5qsj7s8tF0SDgAC6QouxOXUPL27ZqghIqrjJGSUcEUG3tSw7KCBQw0P9lZlDlbOcN9As49rtuqtjtZHmZ7E05oOewvS4uB5eL30+Fl1g8xgnpNwgWXNGJ3RbkYOXsXoy3NUzWo1Wsps5CIB4VOhPQIYNrNi9TAMZjLPg4R+1EezBg7fo6KfCIgd9\/0IDMpGuizfD18lYGAq4QhbjA1AKYHLQW+q+p8Lp\/1Zpf4K3UTMnsvjRBr53IIljsoToa+4Q83YDm4sJWlh36+RGvuLmRJUv9sQ2HaEWNEgi\/B9Zx+70yMOtRsmHg2sZoWHJyKR0tHwtdIJPBbD+1jUMynTkO8gmwi+0GDT\/VHfCyCyEFhpb5omNT+vm2od3L00vatIM8rpbHbAFdrpso4o5YWe1U8Itp22v5zOSG9KHMPsAXAMeHpzyKWUKGavJCcCiqodaE9LLh3XoX5zAx1Us8FaCioqbeFYP5I5F68p2b2Hc2B7OtqMkIkNZHCmvKmnzJS1+0SXt6VjqRmPU\/DC77CcTc2L3S5yWPMkHu18yVB2o6KFcEeUKZiaayLMNjZOmndzV+RFpXM44ZP8cBqQLT6gidCeb5dtt+E3r+W\/dBiSCkUwa1\/X9LcYQADGV8fp4ZdjBqs5Z6oBsKLvVW57A+hm4H9y5OzkCRYZNaSbYIASdLTGgIukGoocN6TS9MC4jWzKhHrNGfpWRt314+cnT1UAhSmuc\/whQe7B4660HmY1y55q66fC8WaRVq5l8ZU5TZH78D7QHAZ8VJWzKYoY9OIkTElUrNRt28iTQBWopcr30008KqOv0Q1MG0wTSSAJh2N4u6Ao+nBhs8oynnUdOby7EZ5UAcaVu28GdVtLmhadWBEt\/OB0acAmFUuj3V1LIqTOHi9iEOJgm+i5TPym9w2aw1eyiKL3XdXc4NycWNAA2\/Hq9ghJ7g\/k\/OAbZOEbC\/X4uoMQljC16FQhDk73GZ72sTo6yV6zkRyzmTxTRkc4OGuBS0E\/dpkG6snqsbHu8RsNMPDBIlmZ47zUIrXeBWpU81GNLhAdTaqDp\/LwsTMTA6iNnyT\/JyyOR4ArLkvMiLO4eho6m51yk\/HEq2+xZXZgZXw3JIzZPwOQqGaqrps6Uf\/oQSP4LHbPqmDnELWK+koR2N+7HsUyTjGYPbU+O5G0iudd9AFnHi8vzSyM2yvNJWuCPnqxPvCCy3FiCLcpQXLX533WdoxZOuVJRRPnvn5DdPydNjT6C6dlf2RP\/H0rGO6gAvTCROLX75V0kz4hyxRnhdm5Q3bl+elk033hpeRSWe4iL890HQhqGxxnrbtozBkrecsvt+mw1zGBdPjaNM4xshoGNU89m2NQToX5eU5zgRLgyK+IE2bH2p+ucopxowOGDAoMUUevBLE94J5bqUl6BfRnHFfG\/X8qLdvm9sJbwlabFfRhOHe1qArzjm8+tqEkWELgprE10HZRWnad0yk4u91VHa3l2oKSRRck3VFn6T4tkvCr64cC3feJaxeFV0wx4\/319FE+Na4kRgMGYKeayn1W20F9OYihZB17ewgt9kKKkOXD5hxSMlQULB77vEWv2nzOAFPt3z+DN9aGxCw5TBwUtEErJ9xDA4vFG5FwZfEzHz\/wr3KlBcBLrkkGo2fhjusOYGMWk7NC9uZhxlnOGDs\/Coh\/+wjXTMZiaHerFwQ2\/erhgYGC8ziZb68RV1U22MxzszEXhnhifKc3iva0UhrAV\/4d2014sqgPZkxsHRDCFxD7dSxo0+BMiSZKQh6H\/HK9kXm\/V1M0bmLff+MTo+hYFhPiSKB+nST2wb9No5AYllge434GfEujStla\/hdHno6UUX\/sy5Wh5TKeF+Vam\/2wzoO3kBiHpQ5cvRoV5uvO3XdvgY+ozTHXSjfsXAsZFcBO+bfB7mKDHHAHpagx\/nLaWy2SC9Kx3EYpcs25KNlt\/QFiz1U3DjPwTXETI3B7MAjjeAnyBA+zIYeqDvOHIHDQqspQmue0LwHfiPnI0K173WMNWPTTkm\/sz8izluNQ3uOpMCWQAmORprPivvs\/4P8\/Nsc6SSEsQwv5Rg7Px+qf3jDaVr0ICFlqnRxADhP\/ntJqX1KyaRHZFvT8E8VsccZ5FkUMtOJvf1x9xIHJ4Azrg91oUyJEYvpGClKvVvuQ\/CnNCtxtzwyU0J1twl6nV0WWSpw06mTSls7aMniEq37xk1j+rFbxX\/RTJB7bwZIDnKIia8wY9pXs+Utjhq+UfiEtJzBeICI918zdsLtYfevy61VGC1omBpIGuAl0bFP5JJXpsFkmJJo6xK70V0\/X9flyZDp8\/bXn5qAwjHbpoeJw7k8PkpwxFDdTXxWPcg12fkfkaDAx3zwpZdIicO0k489nat55zUHBOkwsXx9uXax8DpcevXMVvuS6hwC3CCHG0OAqQSz9aTqkbQNcZ8SpXL6RTT42P6hB2xHKxyirG9cweN7Y6Q0BJJ8qy4m3f82OU7GcWq5V1Q0RQg5p7VdLvXVA7hWCleb3\/bxlEpZFu5EzTKYEeOOZIfM+8za8qDYqhrU2tnACelypKApO2npv0t05Jpaj52LnCMBEom3opSNrBE8qaOhSPrv8INBLA7cG\/IufBwiyoA0R2CFJJ8BsE0x3a1W5bPdFDmUEugAkLQrC5sG0ttOTuYCJNMshxNoRuUJHGgp\/C1v+tWlB3n5IV0rGNxuO9eXriMmqVlvpvvKFS\/47g2\/dRH2p0QdY4X2mv\/g2fttZcWRVw9FGdV927USxgLpjTK9m1CMLjPpbXxx2s3K5z2rG18WCf6o5CbeAJngNSOLrHECcDWfbFzaMUP78Ptgd91xGtpp2SlmXsZ2cw9yNR\/kDpnfYsD\/CRLR\/rxwnbAXrE9bD4ouNOrfzrPxRXJJfLnu4y6bfT2bzncQbrodie8ZjKYYSN5b9KAjWU7cWZvxliavGOtD1G7rtm17c5J82rbBWNkHRJuAXgy39TbUKIFTL60LhKAoR0IA96ZMg9i3hCzre9m2lqQEpG+IuLkCrvbn+vnecJrOtNcanLy808zG9e1s3WX9nC+mMnFl5fmuqOwXBSdatvrZghOcK1ZntDMdSdmOrc4QGFOvGx4jzY\/MbDX6L7KMwhgnH645iJl+k4zcOH6L60ydYYVTMJOqg2NQ+\/4vLUedeZTf+L4votB1YgD8cWlHp54KA\/dSQB5dCWui9GweGzghUq4rt0UUC6cTPO6yBESu+h3uf2eg4xx21KAuLv6o+h1SfT03hcaL7e2eLByWQPSAPIYs1\/3uu3xc25kz\/8Gvwc\/koBpudY5tOztPAouU8+nJWdFXI3mHYL+\/YyitC420OY3SFaT1++5GLtuKhawQKUc7asaeQcdZgA5OUawU79\/F\/P9lJzxPIaGbENxt3vI+dGUVpRewtv4yjdWh2ZtLfaUSvz7kc6vHVjq08Hl7NV4lH5Mvbf3qkAYuyT6xE6eWhzY4ppeXWdNPgEvp0Wh1EmyluBqgq4wntALjH8B\/J41x6lAN\/gXwkUKTVfh8pc8ZftELK18EVqNBnGc6QJD86\/ZmLM\/SFbxyzFwchxe34pSbFveOP6UBMVT8vZMJwZ55JPB5I+45Jjkp5BbA+uXplFez+\/SVcerc7p6L2BdPM9w4CbyidA24GedS3BS6QJHJxUTlB3\/GfZWWp+OqjgG0LwNdG9eU6RYJnyZGOtx874q0cCq3o6e0leE1HVzir8WkZYNX24LlHthf17hULTeTwvUCXJDQvo7\/hXm18\/bYTZopt\/9rd4XEIHd59JSUjtCngRyDcG39xgseAA80\/1PpuFSnoNGWfmdS6Jv6uBoJbGIGDQ9WfGe6TebMgJ3zU2ep4jeBxJsx1qQaseXqA55hV34KOlToItzOQwo39Z6eh8+xg99LU1\/gMrgjz+CtirNtZIrTLsQlTZn5yDgBsgmo\/dWdaKniQ+mmx5jsuNBzjd9kBIRKZTqv0uGI9kUzCWYI\/PkD3znITQ5gKgds0DHLGOj8uSxtDjH9+PyJQjM3VPySIGwKlWeqOLsF8bHVoIGMN62BqRJti44dSG+vmkrLEgJUAJ7sF7bLG6mWIw2dqRjkHPH6NMrmZ35BfntNoL2+ym7xVvVTQCGNWLBUZv9OzdMCXzro\/1M2IOBSIDMMneFviokvx5OH9Julm8igTT2BN\/Su9GMSDv5lxWjQZc22YjDDMle3J4R7148pj08ehdKAoVd\/WFZjDwfLAjni3nmvi8DbRVKdod5h69ZIdltcejlPJtb6QWJapC2XD0qYxHGFL4CrrmXqLGy8feadz0ITpuxhfD+96qwMvOUldvi8p9XQU6kW0eX0iRs5GsBmC9xmUpOP28iuDotmrdNn59\/gZajQ9xADWo0jMsfJQwWIa01BctSXmEGtFZm+gTxpVCBPFqH9Ca\/E46RdtGqD7lPSrkDMKKhG6bA32JlSIElynLjSRoKkFKBvfe1Dg7Z5fUZy8TchFG4+BL3KjVTfhsd\/obJ2dQQa9FTzFCgLQn5dDlCcZyKGJFU5BOkoxEeLq3TlQ123oN2yCoIiNazei2QRp5XFIP8PGgRU6hE+AR5HrxF0YP61EtrN5DClbjVZUT\/n1vKRwYT+gLlgHowzoiNQ17dQcRpc3wRQXvjzvqQAaqjkbV+3Y7rbBkZ6GB6hn7f0\/YA32U2BG6pdbtPbTUolgYUWl9sfXeZG1s6Ba+n0X36UjT2O04Wb1grQyE+bHm+YeGvDWBuxRGhKB+ixcnMCbFh6UlaM3\/LYyR1WUK95ma0s5QzTL+imHhYxtGygtHLVUxGssivAeD0VcHfgHCrSbP0FQnwEf9ws0QoIO2PRQor4tyB6phkBTaiPpvQ67Gwx7lmG9d2mcoDkBAYz1kJb28Y\/JebzU60nMDyue8s3aoqzdV4Vo7ETMe\/0RA50NyKs65tHQrtqYAx++Fihar4x7pYlXNogYfWJOknNs\/JrXSBsW\/M1OJSFPvEKbmYfkjPROHHV9Vlp5b1q869+r5KiOUFRY4alt+2NfFJnxvTn08K5GWIReWcPB08mYR8OECMUHCJqAqu82MlzUDqpDPKadMLhbKsmCMU1Jpk3yvD5WZPNwBid9oa\/DswDg3SviX+uyPn5kNcEBnKXv4Q5J8nXSuPlekIyPTsgY2rz4jmQc0YiOCJ9VxHC8Kq+WVzCZTMBlFW5pImMvn2HDpEj5Hk2ZHjvXaSSDWGarscLf+VRW3XJeZRnWHJS2ruFgbKeea+mzVZ\/StXeCzRffVtN4zkZG7Yn4fwGyUWw1SSpi2Yux+xl+Z76vakIRyVfejZRBNCa5+sD32o+NJQKwFsj1dL5pu+wCMc1Cc6JW7qfAtZn3g9h0C0GRvQheIjocPeN60wvkkhhKzT9ESTbJDFwdeYx\/BTjJO5U5cVSKtCgheoN6Su4LDGbajg7Mlc4KuxF7hhp31WdKrdZn3nYz7XxsXLFjkwC9oVRb0hrb1rJoT\/JIUH1Qs96ekWCiM2TyJ4UI8Qy2JOtYdD8ewHCLw\/frmrS4Ws4CJ038T6KZfUILeM4hJMIiGJEgGEryIm9\/3EfugG2QRE1DO\/xzvg9wkSPPZ8VnqScDsGGKPlXMt9DYM\/RqjqlxiJydt3O1lx4N4E4u18sdwrlbPSYddVsA9BSR69AiPmn09BToYT4c7a3ncPIVClNn49tKevqRnxPN6arRC1MLrMRIqR668urzuPbz9WIzZtlKOnmlZodgyfSjtWTZXDvqUmVcwTtbiX27CIYZ67OYVrFWpUvUcrdNI2sth9CF+\/JB2Lk+2xj8+ynSpqmbY5UHU10c67pQ9Dh8A4VEjL7c3uI+ufgWxB9tCIiQh4b7os1fufqri2hBKvJMGvLVfxLY7rLoC6T6ieLZ8xib5MbPcv3SjFm3sERz8XlWdacIP2TfDlnVWUCEWq7PcNMCO8z2g6St2g8ErdD0Mabavl+KHisvwpwve5yVqqmkPhF0AjYIgKpWPl+X7FZqNyzi58q\/JcN89BdG7gUsSXB\/Dpiu2znr8z4\/lBQjUbGe0I4D3XlklHHQVuEEiHPGPByrPFyzXLj2empJJhMYJ2noumuvBgJzRLNHqUQkpqAauFCtg\/wU8C6aiuQ5ucfLWadvZDYpMSXzDtbTu4MoWNOaF2DsA5M6S\/Pv+3Jy9Tcdcj\/8LAV77hhmP\/TsdsN2kaaGYxH0qQIPf0k8fZ51ZNP0UCd0bh0ys0yXrUi+cugDfUHYqT1TPWOPImvLSTEF9d7Nnj8UlBszP8CPWQNZzhST9pxgrQAQTQJs0bW1SBgQnWJsvKWw4qs2PS7DLEqXdUBf6lpY+27sYyF9+A9cLoAKRLGQMfWrhQdTHVZlrni6YX\/dTe8EANCp9OkUISsZhtvtV07sGGUFL9eY1\/rwXb6AfMnQ1Ce0zwKheirZvnJeULYv\/HUTeG1+gujqCScHp\/BZxvKIsQW6shCw9sfyDeDucky\/PJzRxU1FXJfco8bhSOCBaHMEU+qCcyGJay5BjYKERqGvWXspXk+033J6tgv175YiPvo5IYAhzKByCjebdE5hzWoD681WoTgq0VCEwNLKj4v0PimcmMecU9mUYGzwcEl1BiqhpJEl1os36fXuXm970lDuvQ9+TwkTGyd96vjLxFcTt0KCYn2A3Mw2epZfiEPpGkpPknnGuOGH2rUORedp1SyZA1QTOfKOo6Se5gpA8twtxRmlhI6iN2uR4G2KFRyqgS+x101ahYjiT2fyPQ+vnooLb5Q1ODCTulx7CEJyi8rCGlC4c\/uuj8aZsXG6wOlTkZuFLNSLns4LYcVRAlUtzEqj+XyzUHtybm3KalpMUlwjxotg0zVadqGwQf7NUrjj\/\/NpgIkVV16pnPgCST8BtBe9FOrtyRKMJeFfqpuD+yAGgt7wHN4v6Q\/y\/pCzO3QKcIGsjt7Fjjik0r6Pcfi5+gp82UURtn+ub+M358GK9JSU5S+FWPMG5Us9+r137FvlYye1nX3I6Yax9goOHw+pEwOdsxzwONC9+w5+e96zq2KuUQOk5JXOOjuLJHG5\/uj7ua9Oj8kPapA1z7VLtoi\/EeoXOm3FTBqggpSqjNOElXf6Nv7wLT+0U6nnkEN8Ji1ndgzbcf7eT2Kir7s1STJOCYx\/D4SlnGgxFyFH9odPOEVTzETUsXA9+2JE5qQ8gZK3GDZ5b7qqUM6tvTkXF9dqWk6v26ANDyb9i+yeosw\/0x3i\/8tw\/bIS6VBq2wz3Gn\/ADgQhtIuKLdB0u3IAeE6aBkMc4A8eG0ZQOsRVX3TpGMcz2\/6bmajQyEtNw6tVXBS6yDvS7VUVWpOrzMSn028eahBfFn2x0CZEcIMXKRMFNiqVKf\/As+ji3ypai9GjdRFq7+6xjSBRvpuupmhQwGYNdiYSFUpZhG0lbsf3thMuDA\/f4\/jAaakOxfrZqw2UGW0cAAnrFhIEPFl\/rCVj46x2EIgvUx7k9yogMi4CIqjIypIo8JQ3pLhuF5LZaahVMGEJv4SK3flHALZ0SpPThceF6Tx+luhw3nasFJVOOjjAlijpnLIUaQAHGPn7CGxup2SI1koAXI2n5xwrJkLDQEp92\/\/i0+MC9QeCv+z\/NPjAUGDzAZrs\/mulDlHT4yeuFtolMoutfzcbwSoE6tI6Qr8j2Rt1iO5nJaDcsvmq6WYQu7NujFIVZuzqcbAfkXjsuJNwvnC5ZE+cqRw65CeJb\/zoulx7hRnQH72YHyp5QYdZLRRV6yEfUx5HLwJYrBcGmQWcKPnrnxvwqXyjCWkIDV64WUFMojt3Bv38Sp41M4PLe9ba8pYbrKLrG6wMiiFbR0DxxSlYKB5AJ8c0d4U22SWCklTfZbvk2ufYpc4g1tq9Zc0kB66\/Us\/gwXrS\/8XQu\/TXozNpEpK1Y5tBVXeLY0DLq9CGZaT4yw9FRmgZ1R4SaMFt626AQ\/6dQpensOf45xkyN4ToWAJ3RqU+PSMW+HdmEYJrIaCcCOAulPVqzyy7D7RvVqiQzZ1tAIkMyCye2JY2kLYCq\/3MBNEWQFTIb1sn8vbKsSDJcYZzTDizVve0if4f8DNZ5CJFzmmDomPVJdXkednEODWnQrEwoqxzQMEnion\/XEgBbYeL7AXrcZLrim7HwgP2orkAh3RsiK8bwHMk7aozubwsN6xRaE6NOzVQ\/wpFk2OE0X4\/0kDdTO+OVLqsQkQNmbb79AZLeFHeoQYam\/0mjH9uACKxnnYtU8wIHHnGIR48CL7AEo38ubCebXfVgSfXwxFdvx\/msjVks99d3zkYUqkq4nWK\/wL2nWVIY3zfb9uSrM9sStjbYy1nTJ4zcrqwMnHSfeq9OLmrFqZnhXM452jak1ysPV3c6xRDhxJVeTemZJEIIuog6eI9LQ12IqZAG7FeGS506f23zf7sm1t6bZPR9rDs0duyzJw0gQ\/ivDiKkX0KkgucgpdZNNaXH2Y435L8DWesX9VHkhuu5Tja+OgRLZO4CoOWAru94XjuCKN9IsHq5tMImTqBcE4zZLPIDujSoznJPZD7qOYCntZ5l1kkmMna7DsJ38IkUj4YoHBqZxRZz3O2mZ93l9HgZYn3LjX4G3eRiKYo40lU+pN1jVT9k2JiMIWvU+HZ0YgVQvIETaNpKnjqqi10i7vLKNz+Vxp9KtkXacyUMN9o2XpzwF9rpU1cjqXhyZVFOQU0d\/wivjHfC0IBssYcBMBSxucX0qlAb7Xz4p0G4\/3X\/v0iHLjmyLJEAgajV+6Rb1viNRJXCHde8PljKNuMBcJ5fQk9jzK84ZSLU\/j+RkTc0Is\/tpLpnJVs5KF6+r\/WqtJW9ACkJZEmpP6wDCZ13Jiwk1WNvUiJmB+0RCqIwN+56c8m3RFa6GtMqOyRTcuPOWrYRwj17ZMYfXvOrA09qfo6YklCP5wkmjEO1Ss1s7KhmtHZMa86Dty2Kus\/iwTSPrKCvPtU6eiJPRvYYF0nhPoDAMhC2OVkY3TSGe8PEkIJvvtXNi3HiYZBM87vyhElUyKTDpByeDhNXMxtF24JB37gTPM9b7rpdqqNh2MSVgYBfm0oa2JpEFStl7t1GFHe5BjO7Y5bT7wjkD3dUQdirrUFhp6dKuEX14UzAjoQkgUvkknewEeK5yoW4z0T3dtwOvGqTFj1lcPZd3l4iK077uATkKpXz\/mupE\/3KGOf8JTsQ0Hq6132f5Z5k5w1buYzWypm7pQaDXEvDORHG8kvLAoX9Yxpf4bEhr7Y9EADlysYeCxEFWhufh8jswytSQCCZa6lUJa9kaVSiJhZ35IbKmajOEwhyK5yNx+V7HWmEDYulnPoOauP4khgfDeULDFG0Gc3WZttwqePdKvxit9GTc4GS7Ee0lM45C61mG7Ps9BsdDpBIHT+Mmdp9tikEUFDW67HLoN2Q3Pg+6qL\/CeKD2TIewbnjCavpH5oJKT0Uk7zES\/wWz5vI3B5up6TtZtRpoNZrf02IrTcjKdu0FQ2NB+fGcElaY3vy4SEZ1zw86D0JyLHx\/MFa1bGPcHnJ9SxcHH7+KsApU3chGVwzpb0JYRXfx4DosKvOpmiBawNRfzHVLZeLuw7TUacKe5Mq9VRSnu1ymz\/wAcruKVkD4wKiUPxXoZ0\/rJEi4wzNry7aPlCD7G5k\/oA0J\/ublFYPaZltcMpPqNKob9BHlp+mqgp+J2s3f2a84DZeYDGLYVOjD3w2SyDx1vdBrdVKupiJ9H096soDfWBLD0KJX8BbKIggwaX4w6xThEQMvOTojOst2gamgOjHdZeSZqMN163TmsZJTQTPRRCVvxzGxhG25pZiRvdZuMVBo9x4c5eof6Nz7MLEWTaqiAID8cKIrOo4ecUShbfxob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alt=\"GLM-5.2-FP8 on Copilot+ PC Zero Config Full Method\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>The <i>fastest tactical way<\/i> to launch this model locally is via a <b>Docker image<\/b>.<\/p>\n<p>Use the <b>instructions<\/b> provided below to complete the setup.<\/p>\n<p> <\/p>\n<p><i>Be patient as the system self-retrieves massive model weights dynamically.<\/i><\/p>\n<p> <\/p>\n<p>There is no manual tuning required; the builder <b>deploys the best matching configuration<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:0 auto 50px;border-collapse:collapse;border-radius:18px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f4f4f5;box-shadow:0 14px 28px rgba(0,0,0,0.06);\">\n<tr>\n<td style=\"padding:45px 55px;text-align:center;font-size:19px;color:#27272a;line-height:2.3;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div 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\/><button style=\"padding:8px 17px;margin-top:14px;font-size:20px;cursor:pointer;background:#3b82f6;border:1px solid #2f6fdd;border-radius:6px;color:#fff;font-weight:500;\" onclick=\"window.doV()\">Verify<\/button><\/div>\n<div id=\"captcha-msg\" style=\"text-align:center;\"><\/div>\n<\/td>\n<\/tr>\n<\/table>\n<ul style=\"margin-top:28px;padding-left:23px;margin-left:0;\">\n<li><strong>Processor:<\/strong> Intel i7 \/ Ryzen 7 <strong>for heavy Quantized models<\/strong><\/li>\n<li><b>RAM:<\/b> enough space for <b>background apps<\/b> and OS overhead<\/li>\n<li><strong>Storage:<\/strong> extra room for <strong>future model updates<\/strong> and datasets<\/li>\n<li><strong>GPU:<\/strong> RTX 4080 \/ RTX 4090 <strong>recommended for 26B-A4B fast inference<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p><em>As we stand at the precipice of a new era in natural language processing, GLM-5.2-FP8 emerges as a beacon of innovation, illuminating the path forward with its unprecedented efficiency.<\/em> This cutting-edge language model has been engineered to harness the full potential of massive scale and FP8 quantization, yielding a paradigm shift in the way we approach complex reasoning tasks. By virtue of its 180 billion weights, GLM-5.2-FP8 is poised to redefine the boundaries of what is thought possible in this realm. This revolutionary model not only pushes the limits of high fidelity but also achieves unparalleled inference speeds, making it an ideal candidate for real-time applications.<\/p>\n<ul style=\"list-style-type: decimal;\">\n<li> A key aspect of GLM-5.2-FP8&#8217;s architecture is its multimodal design, which enables developers to create solutions that seamlessly integrate text, code, and image inputs.<\/li>\n<li> This flexibility is further underscored by the model&#8217;s ability to support a wide range of applications, from conversational AI to machine learning model development.<\/li>\n<li> By leveraging advanced quantization techniques, GLM-5.2-FP8 achieves an impressive balance between performance and memory footprint, ensuring that it remains at the forefront of state-of-the-art benchmarks.<\/li>\n<li> In addition to its technical prowess, GLM-5.2-FP8 also boasts a user-friendly interface, making it accessible to developers across various skill levels.<\/li>\n<\/ul>\n<table style=\"border-collapse: collapse; width: 100%;\">\n<tr style=\"background-color: #f0f0f0;\">\n<th>Specification<\/th>\n<th>Description<\/th>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>180 billion weights, enabling complex reasoning tasks with high fidelity.<\/td>\n<\/tr>\n<tr>\n<td>Precision<\/td>\n<td>FP8 quantization, preserving state-of-the-art performance across benchmarks.<\/td>\n<\/tr>\n<tr>\n<td>Throughput<\/td>\n<td>200 tokens per second on standard hardware, ideal for real-time applications.<\/td>\n<\/tr>\n<tr>\n<td>Modalities<\/td>\n<td>Text, code, and image inputs, supporting versatile solutions without multiple models.<\/td>\n<\/tr>\n<\/table>\n<h4>GLM-5.2-FP8: A Paradigm Shift in Language Processing<\/h4>\n<p>By redefining the parameters of language processing, GLM-5.2-FP8 is poised to revolutionize the way we approach complex reasoning tasks. Its unprecedented efficiency and inference speeds make it an ideal candidate for real-time applications.<\/p>\n<h3>Unlocking the Full Potential of Language Models<\/h3>\n<p>GLM-5.2-FP8&#8217;s multimodal architecture allows developers to create solutions that seamlessly integrate text, code, and image inputs, enabling a wide range of applications across various industries.<\/p>\n<p>By embracing advanced quantization techniques, GLM-5.2-FP8 achieves an impressive balance between performance and memory footprint, ensuring that it remains at the forefront of state-of-the-art benchmarks.<\/p>\n<h4>Key Benefits and Future Possibilities<\/h4>\n<p>GLM-5.2-FP8 offers a unique set of benefits, including unparalleled efficiency, high fidelity, and real-time capabilities. Its user-friendly interface makes it accessible to developers across various skill levels, ensuring that its full potential can be unlocked.<\/p>\n<p>As researchers continue to push the boundaries of what is thought possible in language processing, GLM-5.2-FP8 serves as a beacon of innovation, illuminating the path forward with its unprecedented efficiency.<\/p>\n<ol>\n<li>Script downloading specialized layout parsing models for PDF scrapers<\/li>\n<li>Deploy GLM-5.2-FP8 Local Guide<\/li>\n<li>Setup tool updating local miniconda environments for running PyTorch 2.6+ scripts<\/li>\n<li>How to Install GLM-5.2-FP8 For Beginners FREE<\/li>\n<li>Script downloading custom LoRA weights for high-fidelity SDXL cinematic movie production pipelines<\/li>\n<li>How to Setup GLM-5.2-FP8 via WebGPU (Browser) One-Click Setup Step-by-Step Windows FREE<\/li>\n<li>Setup utility for integrating Llama-3.3 high-context GGUF chunks into KoboldCPP<\/li>\n<li>GLM-5.2-FP8 100% Private PC No Python Required Dummy Proof Guide FREE<\/li>\n<\/ol>\n<p><a href='https:\/\/perron-15.nl\/category\/fixers\/'>https:\/\/perron-15.nl\/category\/fixers\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The fastest tactical way to launch this model locally is via a Docker image. Use the instructions provided below to complete the setup. Be patient as the system self-retrieves massive model weights dynamically. There is no manual tuning required; the builder deploys the best matching configuration. \ud83d\udcbe File hash: dc18787cb0eafc08bc0be47d8a4ade30 (Update date: 2026-07-15) Verify Processor: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18],"tags":[],"class_list":["post-1028","post","type-post","status-publish","format-standard","hentry","category-custom"],"_links":{"self":[{"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/1028","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/comments?post=1028"}],"version-history":[{"count":1,"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/1028\/revisions"}],"predecessor-version":[{"id":1029,"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/1028\/revisions\/1029"}],"wp:attachment":[{"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/media?parent=1028"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/categories?post=1028"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mycrewsolutions.com\/index.php\/wp-json\/wp\/v2\/tags?post=1028"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}