X Tutup
python for scientific computingPresentation Magazine2007-05-29T09:52:182016-10-18T09:58:40.40229968225PT1H51M48SLibreOffice/5.1.6.1.0$Linux_X86_64 LibreOffice_project/10$Build-1 -274 -3589 32904 19796 view1 false false true true true true false false true 1500 false //////////////////////////////////////////8= //////////////////////////////////////////8= false true true 0 0 false true true 4 0 -279 -9553 44590 19636 2540 2540 254 254 254 1 254 1 false 1500 true true $(inst)/share/palette%3B$(user)/config/standard.sob 0 $(inst)/share/palette%3B$(user)/config/standard.soc $(inst)/share/palette%3B$(user)/config/standard.sod 1270 false en US en GB $(inst)/share/palette%3B$(user)/config/standard.sog true $(inst)/share/palette%3B$(user)/config/standard.soh false false true true false true false false true false false false false false $(inst)/share/palette%3B$(user)/config/standard.soe false 4 true 0 low-resolution hp 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 false 6 true <number><number><number> /9j/4AAQSkZJRgABAgAAZABkAAD/7AARRHVja3kAAQAEAAAAPAAA/+4ADkFkb2JlAGTAAAAA Af/bAIQABgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoKDBAMDAwMDAwQDA4PEA8ODBMTFBQT ExwbGxscHx8fHx8fHx8fHwEHBwcNDA0YEBAYGhURFRofHx8fHx8fHx8fHx8fHx8fHx8fHx8f Hx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8f/8AAEQgDIAPoAwERAAIRAQMRAf/EAJ0AAQAD AQEBAAAAAAAAAAAAAAADBAUCAQYBAQADAQEBAQAAAAAAAAAAAAACAwQBBQYHEAACAQIDBAcG BQMEAwABBQEAAQIRAyESBDFBUQVhcbHBIjITgZFyMxQ0odFCUiNiUxXhgpIk8PFDorJjc4MG NREBAQACAgEEAgIDAQEAAwEBAAERAjEDIUESMhNRBGEicYEUQpHwUiPBM//aAAwDAQACEQMR AD8A+RP0x8YAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAG0k23RLazg4+osf3I/8kR9+v5d9t/B9RY/uR/5Ie/X8ntv4PqLH 9yP/ACQ9+v5PbfwfUWP7kf8Akh79fye2/g+osf3I/wDJD36/k9t/D2N23N0hNSfBNM7NpeCy x0ScAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOCG5rNPDbOr4RxIXt1ic0tV580X6 Ie1v8iq/sfiJzpQy5jqXsaj1L86ld79kp1RFLVah7bkvY6dhG9m35S9kcO5ce2TfWyPuqWI8 ODwDePSYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAABFq5U01x9FPfgV9l/rUtOWMYWoAAAAF3lnzp/D3l/6/Krt4aJr UAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADmdyEI5pyUV0kbZOXZMqd7mS2Wo1/ql+RR t3/hbr1flTuX7tzzyb6N3uKNt7eVs1kRkXQAAAAAAG8ekxgAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACrzKdLCjvk/w WJR33ws6p5ZZkaAAAAAXeWfOn8PeX/r8qu3homtQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAVNRzCEKxteKX7tyKN+6Thbr155Z9y5O5LNOTk+ky3a3lfJI4OAAAAAAAAAA3j0mMAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAZnMbue9kWyCp7XtMfftm4aOqYioUrAAAAAXeWfOn8PeX/r8qu3homtQAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAB5OcYRcpOkVtZy3BJlmarWzu1jDw2/xZk7O23jho068KpS sAAAAAAAAAAABvHpMYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAABFqb6s2nL9Twiukr7N/bEtNc1jtttt4t4tmFqeAAAA ABd5Z86fw95f+vyq7eGia1AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPJzjCLlJ0itrOW480 kyydVqpX5cILyx72Yuzs9zVpphAVpAAAAAAAAAAAAAbx6TGAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA5u3YWoOU3RdpH baSZrsmWRqL871zNLZ+lcEYd97tWrXXEREXQAAAAALvLPnT+HvL/ANflV28NE1qAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAANpKrwS2s4MrWap3p0j8uOzp6TH29nuv8ADTpphWKkwAAAAAAA AAAAAAG8ekxgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAQajWWrWHmn+1d5Vv2zVPXS1mXr1y7LNN9S3IybbXa+WjXWRGRd AAAAAAAXeWfOn8PeX/r8qu3homtQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFDmGp/wDjB/G+ 4zd3Z6Rd1aeqgZlwAAAAAAAB7GMpOkU23uQkyWrVrl16WM2oL3su16LeVd7Ysw5dYj5qy63T sLZ0aq721NHTaeOy3H2qvaWTr1nojd67UILZFL2EsRHJljwQwPToAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADgjnqbEPNcXUnX sI3s1nqlNbUFzmVpeSLk+OxFd756Jzqqpd1t+5hXLHhEo27dqsnXIrlaYAAAAAAAAAu8s+dP 4e8v/X5VdvDRNagAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARam+rNpy/U8IrpK+zf2xLTXNY7b bbeLe1mFqeAAAAAAAAWtNoZ3aSn4Yfiy7r6beeFe/Zho2rNu0qQjTi95q11k4UXa12ScAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAKV3mLhclDJXK6VqZ9u/FxhbOrMcPmk91te8j/0X8JfS5fM726MV7/zOffT6o4fMNS9jS6l +ZG92yX1RxLV6mW24/Zh2Eb2bfl32RHKc5eaTfW6kbbUsOTgAAAAAAAAAAAABd5Z86fw95f+ vyq7eGia1AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAytdf9W80vLDBd7MXbvmtPXriKxUmAAAA AAAv6PRKiuXV0xj3s09XV61Tv2ekXzSpAAAAAAAAAAAAAHBzG7blFzUk4xrWW7A5NpZl3FeR vW5JtOmXF1TWHHETaUute+rbdv1M3g4/gPdMZMXOHnr28rlWiTo00069W0e+Htp61vI55qRW Dbwo/aPdMZPbXruwUYybwlTLRNt16B7pjJivHftK36jklDix75jJ7bnD2dyEKZnt2JJt+5C7 SEmXjv2koutVJVjRN4ewe+Htr13rSy1kvH5emo90PbSVyEZKMpJSlhFb2LtISV5O9bg6SdHt eDdOvgLtITW167kFNQclneyO8e6ZwYrx3rallbxqlsdKvZjsF2mcHtr31IZ/TzLPSriPdM4M XGXnrW8+SuNabHSvCuwe6Zwe2vVchKbgpJyjtS3CbTODFeRvW5Syp440wdHTbRibSl1r2Ny3 JyUZJ5fNQTaUsryF63N0i91cU1hxVRNpS62PY3bc05RknFYN7hNpSywV224OaknBVrLdgJtM ZMV5G9bkm60UfNWqp7xNoe2vVctuHqZlk/c8EPdMZMXOD1beRTr4XseONege6YyYucPPWt5c 1cK02OteFNo98we2nr28qlXBuiVHWvVtHvh7aO9aUFNySi9jHvmMntvD2d2EKZni9iSbeHUL tISZHetJRbkqT8vTUe6HtpK5CLSlJJydIrexdpCS15O9bg6SdHSrwboumgu0hNbXruW1OMHJ ZpbFvHumcGK8letxllbxwrg6KuyrF2kPbXvqQz+nmWfblHumcGLyK5BzcFJOaVWh7pnBi8iu Qc3BSTksWuA90zgxSNyEpSjGSco+ZLcJtKWV5G9blLKnjjTB0dNtGJtKXWvYXbc65ZJ5cG0J tKWWPIXrc34XurimsOOIm0pdbHsbtuUXNSTjGtZbsBNpZkxXkb1uSbTplxdU1hxxE2lLrXvq 23b9TN4OP4D3TGTFzh569vK5Vok6NNNOvVtHvh7aetbyOeakVg28KP2j3TGT2167sFGMm8JU y0Tbdege6YyYrx37St+o5JQ4se+Yye25w9nchCmZ7diSbfuQu0hJl479pKLrVSVY0TeHsHvh 7a9d60stZLx+XpqPdD215O9bg6SeNK4JvDjgLtITW167ttSjFyWaXlQ904MV5K9bjLLJ44Vw dFXi9wu0hNa99SGf08yz7co90zgxeXjvW1PJXGtNjpV7q7B7pnB7a9VyDm4KScli1wHumcGK xtTdg9Vcinjma2OlV0mDfae6tWs8Ildg5ZU8d2D3cCE2iWHsZwlWjrl2nZZTDyN2Etj3Vxqs OOJybSlhG7CWx7q4prD2ibSlgrkHFyTWVbX1HfdDArkGm60ptrhT3nJtDB6kMmevh4/gPdMZ MCuQcXKtEsHXCnvHuhg9SGVSrg9nTU77pjJg9W3kzuVI8Xgc90xkxXspxik29uyibf4HbYYe O7CidaqWyib7Dnuhgd22lF5lSXl6R7oYpO5CPmfTgm8PYLtISPXcgmlVVlsXE77oYeSuwi6N 478Hh1nLtISPc8MyhXxPcdzM4MLfLbtuOolFvGlNjpVtby7o2nuVdsuGj61vPkrjWmx0rwrs NfumcKPbXquQc3BSTksWuA90zgxXkb1uUsqeOKWDo6baPYJtMntr2NyEnJRkm4+am4TaUsry F63N0i6ulVg1VdFdom0pdbHsbtuSlKMk4x2vdxE2lLK8jetSTaflVXVNYccRN4e2kb1uSbTp lxdU1hxxE2lLrXquW3DOpLJ+7YhNpjJi8Hq2/TVyvgexj3TGT23OHnrW8uauCdNjrXhTaPfM ZPbT17WRzcqRWDbwx4UY98xk9teyuQik2/Nsom2/YhdpCR471pQU3JKL2Me+Yye2vZ3YQpme L2JJt4dQu0hJkd60lFuSpPy9NR7oe2vJ3rcHSTxpXBN4ccBdpCa2k71qDpJ7q4JvDi6C7yE1 teu5bU1DMs0ti3j3TODFdEnAAAAAAAEOsvelYbXmlhH2lfbtiJ6a5rHMLSAAAAAAAuaDS55e rNeBeVcWX9PXnzVXZvjw0jWoAAAAAAAAAAAAAADgrUc7N6Ki6ttpNNV96KuZVnFjuMq3ncyy UVBLFNOta7NpKXzly8YRpSemoousZZnFpqqzV3kf/LvqSUpTldUXlUoOlGm1GtXTbvOWZuf8 E/DuNaXpuLSm/CqOuymzaSnrXL6R4q5LEssqQwkqOq8NNlDk4l/Dv5eNSWmu+F1uOWWNG3js wQ/83+T1jqTpct3csnHK4vwuqeG6ldx23zK5OMOLUZW3CUoumWSolVpuVVsI6yzFdvl7SULF qLi8ykm0k3RVruO8aw5tSX5fLwk/EpYRbw9iJb3hHWI7qlW8srfqxShRPhTHgR29f5Snp/Du by3LKak8tczUW1spuR2+LHJxUc4ypdt5W5TmnF0wphjXoocsvmfy7LxUspf9mGEqKLTeV0q2 qY0JW/2Rk8IlGVI28rzK5mbphSta12EcXj+Us+v8JFL/ALLwlTKo1yulU3voSz/ZHHhHajL+ GGVp228zadNjW3pI6y+J+EreXeMp3opNZ1SLaaWym1o7za5+Hlusp2nlcVbg1KqaxdMOnYNe Z/ELxXViWNzCSrJyVYtYUXFHdLy5tOHFJTsXYqLq5OSTTVVWu9EedalxY7g63p3cslDKlinV urezaSl85cvGHtiVLKqpLLtWV128KDS+HNp5RRUvQsvLL+OSclR12NbPaRnE/hK80yyzerle X1M1KOtMuWtNpzF5/kz6fwRUlNXXF5XOTpR1SaSTpt3CTzn+S/h61JaWacXWbk4xSbeLruO2 f1v8nq7lKl2N3LJxcWsIuqdU9lKkrfOXJPGHDUoaa3BxeasXRJulJJ7iOMayO813fl4YUUn4 oywi3gn1Et7wjrHNyqld8Ll6kEo0T24qj4bSO3r/ADHZ6PZ+H0U1JuGMmot/pa3I7fGCeri5 GVL0MrbuNOLSw2Jbeg5tL5n5dl4qW5L+e3hKiTTai2saUxoSt/tEZPA5f9lYSplca5XSra30 Gf7GPBm/7OyVMtK5XSteNBn+xjw8jL/szwlRxSTyulU3XGgl/sWeEdqMv4YZWnbbzNp02Nbe kjrL4n4St5dqspX0k1nXhbTS8tN6Ozzlz8PLdXO08rircGpVTWLpguOwa8z+IX1eUc7N6Ki6 ttpNNV96Ocyu8WO4yredzLJRUEsU061rs2kpfOXLxhGlJ6aii6xlmcWmqrNXeR/8u+pJSlOV 1ReVSg6UabUa1dNu85Zm5/wT8O41pem4tKb8Ko67KbNpKetcvpHirksSyypDCSo6rw02UOTi X8O/l41Jaa74XW45ZY0beOzBD/zf5PWOpOly3dyyccri/C6p4bqV3HbfMrk4w4tRlbcJSi6Z ZKiVWm5VWwjrLMV2+XtJQsWouLzKSbSTdFWu47xrDm17cqrk5ZXJTglGibxVcHw2nbzf5jk4 JVgrEWpNwpmaTf6WtyF8YOcvLsZfzxytu7TI0qrZTbuObTmfl2ejubpft4SeVNNqLaxpvoSt 8xGcI5RlSdvK80riknTClU61I2XzP5Sl9Uub/s7JUy0rldK140JZ/sjjww78Zeu7dHWNyTbp hSr3nn7zzj+WzW+M/wAI7cZfxRo04VzOmGym0hJxPw7fV15pXUk/EqJtNLZ0necn4cOMppJR aywcXVUxaSocxn/47nDuFXcjKjSjCjqmscMDs5cvDl1lbuJJ1bqk01Ve05zKesdxdbkrlGo5 UsU6va9hKc5cvGHCq7S8LrGVWqNYZq7yPo76uovG5NpqLpTB1wVNm0lPWuVzGvp2nR+CmZUd dlNhGcR31r3FWrro/G3lVHXFU2HfSnrHreNudHRJp4OuNN20fijmClBwm4uniwSq1V1WCOSY 8l8lHGxFNOuZOiTdFmruHoerqbauOdG1KFFRPadvOf4Jw8dYwtRabcaVom91Nw4kPy8uJ1ur K36iWWi6KHNvX+SejqTpO2qN0rVpNrYSvMcnCzoIy9S9bUW5TacXTClVjX2FvTPNiHZxK0HG WNvK8zu5q0wpWta7DVi8fyoz6/wlzf8AZ2SplpXK6VrxoSz/AGRx4RQjKlq3laduTcnTCmO/ pqRkvifhK3mu08126kmsySTcWlVV30O+tc9I8tKTlZWVx9OLUqqmNEqdJzX0/gvq8o5x1EYq Sc8Y1i1Xwpb0OZXeMPLkZXczjFqlvLRqlXWtMeo5tLf/AIS4/wDqSMq3ncyyUVBLFNOta7Np OXzly8YNPKlrFSVG204uuLb4DS+HNp5cJSdi34ZVhNOSo06VfEjOJ/CXq8cZOTu5Xl9RSpR1 oo0rTacxc5/kz6fw6x9K/LK/5G8qo6+Wmw76X+T1j1t1s3MsnGNVLB1VVwpU7fSufmOWpLTy Ti6zk2opNujlXcc/8u+ruUqXo3MsnFxawTqnVPZSpK3zlycYcNShprcHF5qxdEm6UknuI4xr I7zXs21OcsspK5BKNE9uOD4bTt5v8xycOcs7cZxcXJytxiqKuKTVCOLP/juc/wD13LwyspqT yeZqLa8tNyJXxhyeqctQAAAAAAAZnMbue9kWyGHte0x9+2bho6piKhSsAAAAAAksWpXbqgt+ 18ES01zcObXEbMIxhFRiqJYJG+TDJbl6dAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAY2p+4ufEzB2fKtWnEREEgAAAAAAAA AAAAAAAAAAXeWfOn8PeX/r8qu3homtQAAAAAAAAAAAAAAAAAAAAAAAAAAAA5uTUISm9kVUjt cTLsmaxJScpOT2t1Z59uWuPAAAAAAAafLrOW27j809nUa+jXEyo7dvOFsvVAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAY2 p+4ufEzB2fKtWnEREEgAAAAAAAAAAAAAAAAAAXeWfOn8PeX/AK/Krt4aJrUAAAAAAAAAAAAA AAAAAAAAAAAAAAAKnMrmWyoLbN/gijv28YW9U8swyLwAAAAAO7UHcuRgtsnQ7rM3DluI24xU YqKwSwR6EjIHQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAACld5c53JTzpZnWlDPt0ZucrZ24jj/ABcv7i93+pH/AJ/5d+7+ D/Fy/uL3f6j/AJ/5Pu/g/wAXL+4vd/qP+f8Ak+7+D/Fy/uL3f6j/AJ/5Pu/g/wAXL+4vd/qP +f8Ak+7+D/Fy/uL3f6j/AJ/5Pu/g/wAXL+4vd/qP+f8Ak+7+D/Fy/uL3f6j/AJ/5Pu/g/wAX L+4vd/qP+f8Ak+7+D/Fy/uL3f6j/AJ/5Pu/hDqdI7Ci3LNmrupsK+zr9qem+VcrTAAAAAAu8 s+dP4e8v/X5VdvDRNagAAAAAAAAAAAAAAAAAAAAAAAAAAABl8xuZtRl3QVPbtMffc7NHVPCq UrAAAAAALvLbdbspv9Koutl/Rr5yq7b4w0TWoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAo808tvrfcZ v2PRd0s8zLgAAAAALvLPnT+HvL/1+VXbw0TWoAAAAAAAAAAAAAAAAAAAAAAAAAAAbDgxLk89 yU/3Ns8/a5uWyTEcHAAAAAADV5fDLp098m33GzpmNWfsvlZLlYAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAFHmnlt9b7jN+x6LulnmZcAAAAABd5Z86fw95f+vyq7eGia1AAAAAAAAAAAAAAAAAAAAAAA AAAAEWqnk09x9FPfgQ7LjWpaTNYxgagAAAAAPQNu1DJbjH9qSPQ1mJhktzXRJwAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAACjzTy2+t9xm/Y9F3SzzMuAAAAAAu8s+dP4e8v/AF+VXbw0TWoAAAAAAAAA AAAAAAAAAAAAAAAAAAqcylSzGP7pfgijvvhb1TyzDIvAAAAAAksRzX4R4yVSWkzY5tfDaPQZ AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAFHmnlt9b7jN+x6LulnmZcAAAAABd5Z86fw95f+vyq7eGia 1AAAAAAAAAAAAAAAAAAAAAAAAAAAGfzSX8kI8FX3/wDoy/sXzF/VPCiZ1oAAAAAFnQRrqYvg m/woW9M/sh2Xw1TazAAAAAAAAAAAAAAAAAAAAAABtJVeCW1nB5C5bnXJJSpto6ibS8O2WPTr gAbSVXgjghlrdLF0dxeyr7CF7dfyn9dd279q55JJ9G/3Etd5eEbrY7JOAADmVy3B0lNRb2Jt IjdpOXZLXRJwAAcXL1q355KPRvI7bScuzW1xHW6VuiuL2prtIzt1/KX11Mmmqp1T3k0A6AEd zUWbeE5pPhtfuRDbeTlKa2uY6zTSdFcVemq7Tk7db6l0qYsRAACUoxVZNJLa2ctwPIzhNVjJ SXFOoll4LMPToAJSjFVk0ktrZy3Aget0qdPU9yb7iv7dfyn9eyWF23cVYSUuonNpeEbLHRJw AAcu5bUsrmlL9tVUj7pw7iuiTgAAjuaizbwnNJ8Nr9yIbbycpTW1zHWaaTorir01XacnbrfU ulTFiIAAinq9NB0dxV6KvsK726z1Smlr23qLFx0hNN8Nj/E7rvLxS62JCaIAA8lchDzyUa7K uhy2Tl2S16mmqrFPYw4HQAAcyuW4OkpqLexNpEbtJy7Ja6JOAADi5etW/PJR6N5HbaTl2a2u I63St0Vxe1NdpGduv5S+upk01VOqe8mgHQANpKrwS2s4PIXLc65JKVNtHUTaXh2yx6dcUeae W31vuM37Hou6We2ltMy9E9VYTo5r2VfYQvZq77K7hdtz8sk+g7NpeHLLHRJwAAW+XXLcL0s0 lGscKtLeXdG0l8q+2WxpmxnAAHFy9at+eSj0byO20nLs1tcR1ulbori9qa7SM7dfyl9dTJpq qdU95NAOgAbSVXgltZweQuW51ySUqbaOom0vDtlj064AAIp6vTQdHcVeir7Cu9us9Uppa9t6 ixcdITTfDY/xO67y8UutiQmiAAPJXIQ88lGuyroctk5dkteppqqxT2MOB0AOZ3LcFWclFdJG 7ScuyWolrtK3T1Pwa7iH26/lL69lDXXIz1EnFppJJNdRm7ds7LuuYiuVpgADyM4SdIyTfBOp yWV3D064AXeWL+Wb4Rp72X/rzyq7eGjKUYqsmkltbNVuFDyM4TVYyUlxTqJZeCzD06ACUoxV ZNJLa2ctwIHrdKnT1Pcm+4r+3X8p/Xslhdt3FWElLqJzaXhGyx0ScAAHLuW1LK5pS/bVVI+6 cO4rok4AAAAAAAAR378LMM8k2q0wIb7zWZqWuuVLUcw9SDhCOVPBt7aGffuzMRbr1Y5d8r2X PZ3kv1/Vzu9F40qQDN1l+d296MPKnSnFmPt3u1xGjr1xMpYcst5fHJuX9NEvxLJ+vPVC9t9E Gp0s9O1chJuNcHvTKuzruvmJ6b+7wvaS/wCtZUn5lhLrNPXv7op31xUxYiq3eYW4SlHLJyi2 nsSwKNu+TwsnVaoXr0r13PLDclwRm23u1yv11xGyegyAEWqv+jZcl5nhHrK+zf2xLTXNUNPp Z6luc5NRrjLa2zNp13bzV+2/t8J58st5fBNqXTRr8C2/rz0VztqHR3p2b3pT8rdGuDK+ra63 FT31zMtM2M6vrtQ7VukfPPBPguJT27+2J9euaqabRO9H1Jyai9nFlPX1e7zVu/ZjxEt3lkcr duTzLdKmJPbo/CM7fy55fqJKfozeD8tdz4HOnfziu9mvq0DUoRajUwsKOdN5q0p0Fe/ZNeUt dLVHVa53o5Ixyx38WZ+zt93hdp14WeW/bv4n2It6Pir7eVovVgGVeuXNVfUI+WtIrd1mLba7 7YjTrJrFmPLLVPFOTfFUSLZ+vFf21WvWbmluxlGWD8su5lW2t0qzXabRpWbqu2ozW/auk16b ZmWfaYrsk4pz5nbXlg2+mi/Mz39iei2dVVLdyVzVwnLa5LtKdds7SrbMatc3MoBX12odq3SP nngnwXEp7d/bE+vXNVNNonej6k5NReziynr6vd5q3fsx4iW7yyOVu3J5lulTEnt0fhGdv5c8 v1ElP0ZvB+Wu58DnTv5xXezX1aBqUKHMNRLN6MXh+qm+u4y92/pF3Vr6vbXLYuKd2TTe5bju vR48m3b+Eeq0LtR9S3JuK2p7UR7Or2+Ylp2Z8VZ0Ood221J1nDa+KLenfM8q+zXFWS5Wr39d btTcHGTkuFKYlO/dJcJ69drP1Oplfkm1SK2IzdnZdqv00w1bHybfwrsNunEZtuXZJwAq3eYW 4SlHLJyi2nsSwKNu+TwsnVaoXr0r13PLDclwRm23u1yv11xGyegyAEWqv+jZcl5nhHrK+zf2 xLTXNUNPpZ6luc5NRrjLa2zNp13bzV+2/t8J58st5fBNqXTRr8C2/rz0VztqHR3p2b3pT8rd GuDK+ra63FT31zMtM2M6O/fhZhnkm1WmBDfeazNS11ypajmHqQcIRyp4NvbQz792ZiLderHL vley57O8l+v6ud3ovGlSo808tvrfcZv2PRd0sHVXZXLvpx2J0pxZ5vZtm4bNJiZSQ0EKeOTr 0E50z1cvYiv6eVlqcXVV270yvfT2+Utdsrenu+rbTfmWEi/TbMVbTFSE0Ve5rbcJOOVtp06C q9siyaVzpLsruolJ8MF7TnXtnY3mI+oPYeeARaq/6NlyXmeEesr7N/bEtNc1Q0+lnqW5zk1G uMtrbM2nXdvNX7b+3wnnyy3l8E2pdNGvwLb+vPRXO2odHenZvelPyt0a4Mr6trrcVPfXMy0z Yzo79+FmGeSbVaYEN95rM1LXXKlqOYepBwhHKng29tDPv3ZmIt16scu+V7Lns7yX6/q53ei8 aVIBQ5hqJZvRi8P1U313GXu39Iu6tfV7a5bFxTuyab3Lcd16PHk27fwj1WhdqPqW5NxW1Pai PZ1e3zEtOzPirOh1Du22pOs4bXxRb075nlX2a4qyXK1e/rrdqbg4yclwpTEp37pLhPXrtZ+p 1Mr8k2qRWxGbs7LtV+mmGrY+Tb+Fdht04jNty7JOOL11WrUpvctnSR22xMu6zNwzbVq7q7rl KWH6pdyMmut3rRtZrFl8stUwnJS4ujRb/wA8V/bWDcnOxrLkZPw5mpcGuJ5tt13rZJnVcNCp zcmoQc3sXA5tcTLsmVa5rqpqEWm97Kdu78LJ1/lxoPmy+HvI9PLvZwvGlSAWtHqIWFOU03mo lToLurea8q99bXuq1zvRyRjljv4sdnb7vBp14WeW/bv4n2It6Pir7eVovVgGVeuXNVfUI+Wt Ird1mLba77YjTrJrFmPLLVPFOTfFUSLZ+vFf21WvWbmluxlGWD8su5lW2t0qzXabRpWbqu2o zW/auk16bZmWfaYrsk4pz5nbXlg2+mi/Mz39iei2dVVLdyVzVwnLa5LtKdds7SrbMatc3MoA AAAAAAB5KEJqkoqS4NVOWS8kuFfV2bMdPNxhFNLBpLiVdmsmt8LNNrlFyvZc9neQ/X9Uu70X jSpeSlli5cFU5bgjM0CzapN4tJsx9Mzs09nDUNrMi1Uc2nuLob92JDsmdalpfKpyuXjnHik/ d/7KP175sW9saBqUOHYsttu3Ft7W0iPsn4d91ZmtjGOpailFYYLDcY+2Y2aNL4axuZgChzSX itx6GzL+xeIu6Ys6OKjpra4qvvxLuqY1ive+UxYiy+Yxy6mq/Uk+7uMffMbNHVfDTtyzQjLi k/ea5cxRYzeZSrqEt0UvzMnff7L+qeGjaio24xW5JGrWYii3y6JOMq//ABa1tYUkpe/Exb+N 2nXzq1TazPJ27c6Z4qVNlVU5dZeXZbFTX2rUbFYwjF5likkUd2smvhZ125dct+3fxPsR3o+L nbytF6tHqZZdPca20f44EOy41qWk8qXLIp3Jy4Knv/8ARn/Xnlb23w0TWoVuYRrpm/2tPuKe 6f1Wdd8uOWSrbnHg6+//ANEf174rvbPK4aFTj6ex/bj/AMUQ9mv4d91/LNolr0kqJXMEusy/ +/8AbR/5aptZgDM5lKuoS3RS/Mx99/s0dU8NG1FRtxitySNWsxFFvl0ScZV/+LWtrCklL34m Lfxu06+dWqbWZlW/5Ncm982/diYtfO7TfGrVNrM8nFShKL2NNe85ZmErM5dJrUU/cmu8ydF/ s0ds8NQ2M7mVm1J1lCLfFpMjdZfR2bVncxhCF2KhFRWXYlTeZe+SXwv6rmNCx8m38K7DVpxF G3Lsk4AcOxZbbduLb2tpEfZPw77qzNbGMdS1FKKwwWG4x9sxs0aXw1jczAFDmkvFbj0NmX9i 8Rd0xZ0cVHTW1xVffiXdUxrFe98pixFl8xjl1NV+pJ93cY++Y2aOq+GnblmhGXFJ+81y5iiw lCE1SUVJcGqiyXlyXCvq7NmOnm4wimlg0lxKuzWTW+Fmm1yi5XsuezvIfr+qXd6LxpUqHNnS EHwzMzfs3xF3TywNGs19N7k2eZ1fJt34aBqUI9RHNZmuivuxIbzxUteVfQS8U48VX3FXTfKz sXDQpcu1abq4Rbe10RH2z8O5qK1GMdZNRSSyrBewhrP7VK/F9KeuwAFDmkvFbj0NmX9i8Rd0 xZ0cVHTW1xVffiXdUxrFe98pixFl8xjl1NV+pJ93cY++Y2aOq+GnblmhGXFJ+81y5iiwlCE1 SUVJcGqiyXlyXCvq7NmOnm4wimlg0lxKuzWTW+Fmm1yi5XsuezvIfr+qXd6LxpUgGVb/AJNc m982/diYtfO7TfGrVNrM8nFShKL2NNe85ZmErM5dJrUU/cmu8ydF/s0ds8NQ2M7mVm1J1lCL fFpMjdZfR2bVncxhCF2KhFRWXYlTeZe+SXwv6rmNCx8m38K7DVpxFG3Lsk4p8zlS1GPF9hn7 74W9U8u+XRS09f3NvuJdE/q523yslyt8rzFVnGe+Va/+e08bv5y9Hq4WNPLNZg+inuwLNL4i G3KRpNUaquDJWOI7lm0oSahGtHuRHbWY4dluVXQfNl8PeU9PKzs4XjSpANHl1q3OzJzipeLC qruRp6NZZ5U9tsr3X2rUbFYwjF5likkd7tZNfDnXbl1y37d/E+xHej4udvK0Xq0epll09xrb R/jgQ7LjWpaTypcsincnLgqe/wD9Gf8AXnlb23w0TWoVuYRrpm/2tPuKe6f1Wdd8uOWSrbnH g6+//wBEf174rvbPK4aFTj6ex/bj/wAUQ9mv4d91/LNolr0kqJXMEusy/wDv/bR/5aptZgAA AAAAADi5etW/PNLo3kbtJy7NbVXVa2xOzKEW23sdMPxKezt1sxFunXZUGi1Vuwp503mpSlNx X1dk15S7NLVpcy0725l1r8i6d+qv6q6uamxOxcyTTeV0Wx7Ok7tvLLiuTWyqvLPny+F9qKOj 5Le3hpGxnc3vkz+F9hHbiu68s7lv3D+F9qMvR8l/bw0zYzgGVrvu37Owxd3yaev4tU2swBm8 z+fH4V2syd/yaOrhf0/yLfwx7DRp8Yo25rsm4zuZ/Oh8PeZP2OV/Vwu6b7e38K7DRp8Yq25r N1/3U/Z2Iyd3yq/r+LWNzMAZWv8AupdS7DF3fJp6+GqthsZg6KvMvt/9yKO/4rOrk5b9u/if Yh0fE7eVovVoNd9rP2dqKu741Pr+Svyv/wCv+3vK/wBf1T7vRfNKlDrftbnUu0r7fjU+vlBy yE4+o5RaTpSu/aVdEsyn21dNKkAovSXvq1donDPm27qma9V92f5Xe+e3C8aVIBk6/wC6n7Ox GHu+Vaev4tY3MwBla/7qXUuwxd3yaevhqrYbGZk6H7uHt7GYun5Rp7Pi1jczAGTo/vI9b7GY er5NO/xaxuZgCprNJcvXIyg0klTHrKO3ru18LdN5Is24uNuMXtikn7EW6zEV2+XRJwAAZWu+ 7fs7DF3fJp6/i1TazAGbzP58fhXazJ3/ACaOrhf0/wAi38Mew0afGKNua7JuM7mfzofD3mT9 jlf1cLum+3t/Cuw0afGKtuakJoodb9rc6u8r7fjU+vlX5XsuezvKv1/VPu9F40qWfzr5C6pd hl/a+K/o5Yeg+c/hfajzunlr7OF40qXNz5cup9hHbh2cqeh+c/hfaijp5W9nC8aVIBDb+9n8 K7iufOp34vpD1mAAzeZ/Pj8K7WZO/wCTR1cL+n+Rb+GPYaNPjFG3Ndk3GdzJN3oJKrcdntMn fyv6uF6wmrFtNUaiqp9Ro04inbl2TcR6i3K5ZlCO17KkN9czCWtxUOh09yznU6Y0pToqQ6tL rnKXZtKtFysAydD93D29jMPT8o09nxaxuZgDJ0f3ket9jMPV8mnf4tY3MwBncz+bD4e8yfsc r+rhesfJt/Cuw06cRTty7JOKPNP/AJf7u4zfsei7p9U+h+1h7e1lnT8Yh2fJLddLU3wi3+BP bhGcvmdf5YdbPI7vR6HWk0f28fb2k+r4o78pixBzc+XLqfYR24dnKnoPmy+HvKOnlb2cLxpU gGry5U03W2bOj4s/by85l9v/ALkc7/idXJy37d/E+xDo+J28rRerQa77Wfs7UVd3xqfX8lfl f/1/295X+v6p93ovmlSj1NuVyzKEdr2V6yG+uZhLW4qLRaa5Yz52nmpSnRUh1dd15S7N5Vku VgGW/wD/AKH/APZ3mL/3/tp/8tQ2swAAAAAHNy5C3Fym6JEdtpJmuyZZt/X3bjpDwQ6NvvMu /dbwv165OVYpWPAAAABLp78rNzOlXCjT4E9N/bcuba5jVsai3ejWLxW2L2o2abzbhm21sNQ6 WLj/AKX2De/1prypcsj/ACzlwjT3sz/rzyt7eGia1ABla77t+zsMXd8mnr+LVNrMAZ3NF/JC XFU9z/1Mn7E8xf1cLulddPbf9KXuwNHXf6xVvzUhNFm8xrLUxisXlS9rZk7/ADs0dXDRjHLF R4JL3GqTEZ69OhF1SfE5AOjK1fj1kkt7S/BIxdvnZp08atU2swBV5l9v/uRR3/FZ1cnLft38 T7EOj4nbytF6tFq1XTXF0V92JX2z+tS05VOVvxXFxSfuKf17yt7mgalAcA6AAAAAAZfMI01L fFJ9xi7p/Zp6uGnF1inxVTZKzV6dGVq/HrJJb2l+CRi7fOzTp41aptZmVpvBrYp7pNdqMXX4 3ad/OrVNrMN0TfA5RmcvtzlfVynhjWr6WjJ0627ZaOy+MNM2M4AAAAAADL1/3b9nYYu75NPX 8WobWYAzuaL+SEuKp7n/AKmT9ieYv6uF3Suuntv+lL3YGjrv9Yq35qQmizOZOt9LhFdrMfff 7NHVw0bMctqEeEUvwNWsxIo25dEnEOt+1udXeV9vxqfXyr8r2XPZ3lX6/qn3ei8aVKjzTy2+ t9xm/Y9F3SzzMuAOLzpZm/6WR34qWvKroF/JJ8FT3sp6eVnZwumhSAQ2/vZ/Cu4rnzqd+L6Q 9ZgAM7mi/khLiqe5/wCpk/YnmL+rhd0rrp7b/pS92Bo67/WKt+akJolFWtMeJwDoAAAAABla bwa2Ke6TXajF1+N2nfzq1TazDdE3wOUZWgVdVF8E3+FDH0z+zT2cNU2swBncz+bD4e8yfscr +rhesfJt/Cuw06cRTty7JOKXNF4IS4Nr3/8Aoz/sTxFvTyl5e66WK4Nr8ak+m/1R7OXeqdNP c+Fr3kuz41zTmMYwNQAA5ufLl1PsI7cOzlT0HzZfD3lHTyt7OF40qQDX0CppYdNe1m3p+MZu z5OOZfb/AO5Ee/4u9XJy37d/E+xDo+J28rRerRaqLlp5xSq6YLqK+yZ1qWl8o9Dpp2Yyc9s6 eHhQj06XXlLs2yslysAAAAHMrVuUlKUU5RdU9+BG6yuy10ScAAAAB5OcYRcpOkVi2ctwSZZG o1E706vCK8seBh33u1atdcRCQSAOlBuLlVUXSq+7adwZdW7XqV8cY0/c6HddcuW4dfS3ccmW dNuRp/gd+u+nlz3xE006NUa3EEngHdq7O1NTg6NHddrLmOWZWtXrY3LKhDbLGfR0F3Z25mIr 068VY5fZduzmlg54+zcW9OuIh2bZqyXK3Dv2U2ncimtqbRH3z8u+2szWyjLUtxaawxWK2GPt udmjrnhp/UWP7kf+SNfv1/LP7b+HaaaqsU9jJOK2vsu5ZqlWUMfZvKu7XMWde2Kg0OrhCPpX HRbYvd1FfT2STFT7NM+Yty1Wniq50+Ci6v8AAuvZrPVVNKhsaec7z1F1UbxhDh1kNNLb7qlt tiYi2XqwCppdZby+nceWUcE3saM/X2zGKt30vMS3dZYhFtTUnuUXXsLNu3WIzS1S0duV7U+p LZF5pPp3Gfqnu2yt3uJhpmxneTuW4UzyUa7Kuhy7ScuyWqmvu2pWKRnGTzLBNMo7tpdfCzrl y85fdtQsNSnGLzPBtLch07STydktq5G5CfkkpU20dS+WXhXZY9aTTT2PBixxnaS1dt6xxSwj XM+jcZevWzdfvtLq0TWoAAADj6ix/cj/AMkQ9+v5d9t/DyOq08pZVNVE7Nb6u3SpCaIBBq9M r0MMJx8r7irs6/dE9N8VFpNXBQVq68k4YYkOvsmMVLfT1ia7rLEItqak9yi69hZt26xGaWqW jtyvan1JbIvNJ9O4z9U922Vu9xMNM2M7M11uVrUepHZJ5k+lGPt1xtlo67mYXLWssXIpuSjL epOhfr2yqttLCd2F6tq3KtfPJbEhdpt4hJjzU0IRhFRiqRWxFkmPEQty9Og5RiqyaS4s5aIL mt08P1ZvhxK9u3WJzrtdrU2Gk/Uiq40bVSU7Nfy57akjKMlWLTT2NEpcoh0AIdVpo3o8Jx8r 7ivs6/dP5T02w7d+ynR3Ipraqol75+UfbXaaaqsU9jOuK2vsu5ZqlWUMfZvKu7XMWde2Kg0O rhCPpXHRbYvd1FfT2STFT7NM+Ytz1enjGruJ9CdX+BdezWeqqaWs+2parVVawbrLoSM0/vsv v9dWqbWZ5KcIKspKK4t0OWyckmVfV3rMtPNRnFtrBJriVdm0ut8rNNblDyuUV6ibVXSi37yv 9e8pdy+alKjzTy2+t9xm/Y9F3SzL03C25LdR/iZN7iZaNZmvIaizJVzpdDdDk3lLrVfV6mEo +nB1r5mV9m8viJ6a+qXR2nC1V7ZY+wl1a4iO9zU5ag5d20nRzimtqqiPun5dxUVqUZaybTTW VYr2ENb/AGqVn9X0X1Fj+5H/AJI9T36/lh9t/DtNNVWKexknFbX2Xcs1SrKGPs3lXdrmLOvb Fc8tc3Zaa8Kfhfac6LcHbytl6sAAeSnCCrKSiuLdDlsnJJlxLVaeMW/Ui6bk02RvZrPVKaV7 bv2bnkkn0b/cd13l4cutjsk4AUtbpmn9RbwlHGS6t5n7dP8A1FvXt6VNa1li5FNyUZb1J0J6 9sqO2liLWay2rbhblmlLBtbEiHb2zGIlppc5rzltlqMrr/VhHqHRr6nbt6LpoVOZXrUXSU4p 8G0iN2k9XZrWdzGcJ3YuElJZdqdd5l77LfC/qmIu2b9hWoJ3IpqKqqrgaNd5ieVW2tymjKMl WLTT2NE5coItVa9WxKK822PWiHZrmJaXFVeWzmpSt5W47a8GU9FvCztnqsa100tz2dqLe341 Dr5ZBiaQA2kqt0XFnLXUdy9acJJTjWj3ojttMcuyXKpopRjck5NJU34bynquKt3nhdjctydI yTfBNGibRTiujrjW0s7cNNbzyUarCrpvNvXZNZlm3ltqPX3bUrFIzjJ5lgmmQ7tpdfCXXLl5 y+7ahYalOMXmeDaW5Dp2knk7JbVyNyE/JJSpto6l8svCuyx6dcAAEdzUWbbpOST4bX7kQ23k 5dmtqROqqScDo8jOElWMlJdDqcllLHp0AAAAAAocyv4qyngsZdxl79/Rd1a+qgZ1z1JyaSVW 8EhING3y636dLjed4trd0GrXomPKi9tz4e/4yx+6XvX5Hfo1Ptp/jLH7pe9fkPo1PtqWxpLd mTlBttqmNPyJ6dc14R23te6jTW70aSVJbpLaN+ubOa72Mm7blbm4SWKMW2tlxWmXLg46n0fp +vFXFVPBV47izqx7vKO+ceGubmUArT5fZnOU3KVZOro1v9hTemW5WTtsc/4yx+6XvX5HPo1d +2n+Msful71+Q+jU+2rUYqMVFbEqL2F0mFVenRXnodPKeZpqu1J0RVenW1OdlSW9PZt+SCT4 7X72S10k4Ru1qQm4AAKl3l1qTbjJwb3bUUbdEvC2dtjmPK4J+K42uCVPzOT9efl29y3btwtx UYKiRdrrJMRVbl0ScRajTW7+XO2staU6Svfrm3KWu9iH/GWP3S96/Ih9Gqf20/xlj90vevyH 0an21NY00LCag2822pPTSa8IbbWpSxEOAdAAAAqf42x+6XvX5FH0arPtp/jLH7pe9fkPo1d+ 2rFm16UcqlKS3ZqOhbrrhXtcuyTgBW1Ghhdm5qWWT270U79M2uVmvZYjjyuCfiuNrglT8yM/ Xn5Svct27cLcVGCokXa6yTEVW5dEnHNy3C5FxmqxZG6y+K7LhUlyuDfhm0uDVfyKb+vPSrJ2 rGm08bEMqdW8XLZUs009sQ22zUpYiAQX9JC9Ks5S6Ipqi/Aq365tynrvhH/jLH7pe9fkR+jV L7af4yx+6XvX5D6NT7as2rcbdtQjVqOypbrriYV25rok4AAK97Q2bs3NtpvbSn5FW3TLcp69 lkTxioxUVsSovYWSYQr06K17l9m43KLcG+Gz3FO3TKs17LEUeVxr4rja6FTvZCfr/wApfd/C 3Zs27UcsFTi97L9dJrwq22tdknEd+xC9DJJtKtcCG+k2mKlrthFHl2mW1OXW/wAqEJ0apXtq eFu3BUhFRXQWTWThC210ScUeaeW31vuM37Hou6WdOCnFxlse0y2Zi+XCs9Aq4ToulVKfp/lZ 9ju3o7cHV+JrjsJa9Ujl3tTlqsAgno7UpOTcqt1ez8iq9Uqc3q1y3l9l3ZVlLy8Vx6i7o6Zl X29lw0P8ZY/dL3r8jV9Gqn7atRioxUVsSovYXSYVV6dBJJUSouCOSAdAABHfsQvQySbSrXAh vpNpipa7YQf4yx+6XvX5Ff0ap/bXq5bZTqpTTWx1X5D6I59tWYrLFKrlTe9pdIrr06BwUp8s g5VhNxXBqv5FF/XnpVs7XVvltqLrOTn0bEd16JOS9tW0klRYJbEXKg6K97Q2rtxzk5JvhTd7 CrbqluU9eyyYcf4yx+6XvX5Efo1S+2n+Msful71+Q+jU+2rNq3G3bUI1ajsqW664mFdua6JO BwV+YP8A60ulrtK+74p9fLJMTSAc3IKcHB7HwObTMw7LhD9BZ4y96/Ir+mJ/ZT6Czxl71+Q+ mH2V1a0tu3NSi3Vcafkd165Lly72pixBqR01u9prKk2sscKdJrnXNtZlnu9lrz/GWP3S96/I fRq79tP8ZY/dL3r8h9Gp9tTWNNCwmoNvNtqT00mvCG21qUsRAOL0Lk45YTyV2ulX2kdpbPFw 7rZEVnRWrUs2M58WQ06pPKW3ZasFqABXhobduWaE5p9a/IpnTJxasvZasFysAAAABtJNvYsW ctGHcm5zlN7ZOp5+1zctkmI5OC9y2zWTuv8AThHr3mjo19VXbt6NA1KAAAAAVOY2c1tXEvFD b1Mo79czK3q284ZhkXvQNqxc9SzGe9rHr3m/TbMyybTFdk3AAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABR5p5bfW+4zfsei7pZ5mXAAAAAAXeWfO n8PeX/r8qu3homtQAAAAAAAAAAAAAAAAAAAAAAAAACtzF/8AX65Ip7/is6uWUY2gAAAAAABt 6f5Fv4Y9hv0+MZNua7JuAAAAAAAAAAAAAAAACDXTy6aXGXh95V3XGqfXPLIMTSAbOkhk08Fv aq/bibuuY1jLvc1KWIgAAAA8nFShKL2STXvOWZhKw2mm09qwZ5zY8A0uWTralD9rr7zV0Xxh R2zyuGhUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AKPNPLb633Gb9j0XdLPMy4AAAAAC7yz50/h7y/8AX5VdvDRNagAAAAAAAAAAAAAAAAAAAAAA AAAFXmX26+JdjKO/4rOrllmRoAAAAAAAbdhUs21/Suw9DTiMm3Lsk4AAAAAAAAAAAAAAAAKX NJeC3Hi2/d/7M/7F8Rd0xnGVc9Sq0uIG6kkklsR6LGHQAAAAADH1UcupuLpr78TB2TG1atL4 QkElzlsqXpR/dHsL+i+VfbPDSNbOAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAKPNPLb633Gb9j0XdLPMy4AAAAAC7yz50/h7y/8AX5VdvDRNagAA AAAAAAAAAAAAAAAAAAAAAAAFTmfyI/EuxlHf8VvVyzDIvAAAAAAAbln5MPhXYehrxGTbl0Sc AAAAAAAAAAAAAAAAGdzN/wAsFwjX3syfsXyv6uFIoWpLCretrjJdpLTmObcNo9BkAAAAAAAZ XMFTVS6Uuwxd3yaevhWKk1jQumqh01X4FnVf7RDs4axuZgAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAADaSq3RcWcyIJ63TR/XV9GJC9usTnXahlzO2vLBvrdPzK 7+xPwlOqo5czu/phFddWQv7FS+qOHzHUvel1Ij9+zv1Rz9fqv3/gvyOfdt+Xfr1PrtV+/wDB fkPu2/J9ep9fqv3/AIL8h9235Pr1XtDeuXbcnN1adOG40dW92nlT2ayVDzTy2+t9xD9j0T6W dcmoQcnsXAy24mV8mUcdVYl+qnXgRnZKldKlTTVU6omiBwAAXeWfOn8PeX/r8qu3homtQAAA AAAAAAAAAAAAAAAAAAAAAACpzP5EfiXYyjv+K3q5ZhkXgAAAAAANyz8mHwrsPQ14jJty6JOA AAAAAAAAAAAAAAADL5i/+z1JGPv+TR1cKpSsTaVV1Fv4kT6/lEd+Gwb2UAAAAAABmcyX/YXw rvMff8mjq4VClYl0rpqLfxIn1/KI78Vsm9lAAAABHqZONi5JOjSdGQ3uNalrPLJ+ov8A9yX/ ACZi9+35afbPwfUX/wC5L/kx79vye2fhZ5fduyv0lOUlleDbZb07W7eVfZJI0TWoAKOguXJX 5qUnJJYJtveZuna21d2SYXjSpAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABW1925at JwdG3Rv2FPdtZPCzr1lvlmTnObrKTk+l1MltvLRJhycAAAAAAAGlyz5M/i7jV+vwo7eXPNPL b633HP2PR3pZWq+RPq7zH2fFo15ZpkaHsZyi6xbT6DsuHLFi3rbsfNSS9zLJ22IXrizb1Vq5 hWkuDLteyVC6WJSaC7yz50/h7y/9flV28NE1qAAAAAAAAAAAAAAAAAAAAAAAAAAVOZ/Ij8S7 GUd/xW9XLMMi8AAAAAABuWfkw+Fdh6GvEZNuXRJwAAAMvV37q1E1Gckk6JJtLYYuze+6+WnT WYQ/UX/7kv8AkyHv2/KXtn4PqL/9yX/Jj37fk9s/B9Rf/uS/5Me/b8ntn4PqL/8Acl/yY9+3 5PbPw9jqL9V/JLb+5nZvt+XLrPw2TeygAAAAyuYfdS6l2GLu+TT18KxUmn0arqbfX3FnV8oj vw1zcygAAAAAAM3mfz4/Cu1mPv8Ak0dXCmUrEmn+fb+KPaS0+Uc24raPQZAAAAAVuYSy6Zr9 zS7+4p7r/VZ1TyyjG0AFvlv3D+F9xd0fJX28NM2M4Bncu+4udT7TL0fKr+3hompQAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAARX9TasrxPxboraQ37Jqlrraktzz24zpTMk6daO63My5Z ivSTipzP5EfiXYyjv+K3q5ZhkXgAAAAAAAGlyz5M/i7jV+vwo7eXPNPLb633HP2PR3pZWq+R Pq7zH2fFo15ZpkaAAAAmtaq5bw80eDJ69liF0lbPJ79u7dlleOXGL27Ueh+rvLWXv1sjWNrM AAAAAAAAAAAAAAAAAAAAAAAAACrzL7dfEu8o7/is6uWWZGgAAAAAABt2fk2/hXYehpxGTbl2 ScAAADEuyzXZy4yb/E87a5ta9eHBx0AAAPY+ZdYhW6ekxgAAAAytf91LqXYYu75NPXwrFSaf RfdW+vuLOr5RHs4a5uZQAAAAAAGbzP58fhXazH3/ACaOrhTKViTT/Pt/FHtJafKObcVtHoMg AAAAM7mdys421+lVfWzL37ecL+qeqkZ1oBb5b9w/hfcXdHyV9vDTNjOAZ3LvuLnU+0y9Hyq/ t4aJqUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKeq16jWFrGW+W5dRn7O7HiLdOv8s6Un JtydW9rZltXtrT/It/DHsN+nxjJtzXZNxU5n8iPxLsZR3/Fb1cswyLwAAAAAAADS5Z8mfxdx q/X4UdvLnmnlt9b7jn7Ho70srVfIn1d5j7Pi0a8s0yNAAAAALXL243W06NLBrrLui+VfZw3t Lr1KkLuEt0tz6z0uvuz4rFv1/hdNCoAAAAAAAAAAAAAAAAAAAAAAAAK3Mftvainv+Kzq5ZRj aAAAAAAAG3p/kW/hj2G/T4xk25rsm4AAAGFLzPrPNrZHgAAAA9j5l1iFbp6TGAAAADL5iv8A svpSMff8mjq4VSlYm0n3NvrJ9fyiO/DYN7KAAAAAAAzOZfcL4V2sx9/yaOrhUKViXTKuot/E u0n1/KI78Vsm9lAAADm5cjbg5y2IjttiZdkyxbk5XJynLbJ1MG1zctcmI5OABb5b9w/hfcXd HyV9vDTNjOAZ3LvuLnU+0y9Hyq/t4aJqUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZ2s1u atu0/DslLj1GTt7c+Iv06/WqRQtANuzhZt/Cuw9DTiMm3Lsk4p8zf8MV/V3Mz/scLerlmmVe AAAAAAAAaXLPkz+LuNX6/Cjt5c808tvrfcc/Y9Hellar5E+rvMfZ8WjXlmmRoAAAABa0HzJd XeXdPKvs4XTQpXtDq5KSszxTwi+HQaOrt9Kq7NPWNA1KAAAAAKnAqgFUMgdAAAAAAAAAAAAA AFfXr/qy6Gu0q7vin18skxNIAAAAAADa0329v4V2G/r+MZd+akJogAABh3PmS632nnbctk4c nAAAAPY+ZdYhW6ekxgAAAAzeZr+aL4x7GzJ3zyv6uFMoWpdO6ai38S7SWnyjm3FbJ6DIAAAA AAAyuYOupl0Jdhi7vk09fCsVJp9Eq6qHtfuRZ1T+0R7OGubmUAAG0lV4JbWcGVrNV60ssflx 2dL4mPt7Pd/hp00wrFSYAAt8t+4fwvuLuj5K+3hpmxnAM7l33FzqfaZej5Vf28NE1KAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAUNdq61s23h+t9xl7uz0i7r09aoGdcAAN2CpFLgkejOGOv Too80eFtdb7DN+x6LulnmZcAAAAAAAAaXLPkz+LuNX6/Cjt5c808tvrfcc/Y9Hellar5E+rv MfZ8WjXlmmRoAAAABa0HzJdXeXdPKvs4XTQpSWHS9bfCS7SWl8xzbhtHoMgAAAG1itrW7ecE E3cjNzyOSdFg9iw3LfWpXcy5wnMO7jt2oO5Ty9e/AltjWZcmbcOM3p3FVxcZyy4VqpPFJ4sj nFd5j25JWpQSjTPJRzPp3HdrjDkmXVxKEXOMatUbo0u1o7t48k8orDlcSmlRZmpJS4NUxrwI aefKW3jwii7uV3YNZU5SiqurinXj7NhCW8xLxwlo1bV2MG01mSzUweOOPAn6ZR9cPbUZPJco 6OKbSe+jrv31Q1nFc2voisSm76t0plh/J4qttYPY6LEjpbnH8JbTxlJNXHP07ao8qlcbb47F iSsucRyY5rm0rrjdi40mllwf6sccX0o5rL5Ljwldp5sE1F+dVxfCmOFCd1cy8VqcVLBuTknV PalKvHhgc9thl7G3OLllTo2qY8G29vQdmthlJWdcI4V3vcS8oodc5PTzSjVUWNekh259tS6+ WRWVfLhxqYc1qKyr5cONRmg3Kvl9tRmhWVaZcONRmhWVaZcONRmhWVaZcONRmhWVaZcONRmj Y0kp+hbWXCm2pu67fbGXeeU5agAAAGLfVL9xf1PtPP35rXrwjIugAAB7HzLrEK3T0mMAAAAF HmkcLcutGb9icLums8zLnUJZZxlwaZ2XyVuHosYAAAAAADH1cs2puPpp7sDB2X+1atOEJBJb 5bGuob/bF/kXdE/sr7b4aZsZwDm5dhbjmm6IjttJy7JazNVrJ3vDHw2+G99Zk7O27f4aNNMK xUmAAAFvlv3D+F9xd0fJX28NM2M4Bncu+4udT7TL0fKr+3hompQAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAFbXan0oZIv+SX4Ip7ezExOVnXpllGNoAAHVuOa5GPFpe87Jml4bh6LGAZvM5Vv Rjwj2syd98r+qeFMoWgEluxdueSLfTu95LXS3hy7SLMOWXX55KPViWzovqrvbEseWWl5pSfV RE5+vEb212uX6Zbm/aS+nVz7a9+g0v7X72d+nVz7K8fL9M9zXtOfTq79tS2LELMXGDdG64k9 NJrwjttlV5p5bfW+4p/Y9FnSytV8ifV3mPs+LRpyzTI0AAAAAtaD5kurvLunlX2cLpoUvU6O oG7FqUU1saqejKxh0AAFfTxUdRfSbfkxbq9j4lWkxtf9J7XxHutuKFiVJZZvy40e1bB23EOu ZpqoZ9PJwWZtJqm9VqOyZ18GlxVWyoXGoQdX6znv8iW1lWuL4n5WbeP/AIl1SsxuWnmpJTjV OWxcaEuySWf5R0ziu9RctOdhSadmTk264eFYfiS3szPw5rL5/LjSOP1ElBrK1JtLonh+DI9f y8f/AJ5d34RW3G1mg2/UjCcKOuLbWWi6SExr49cVK+Vi9BR0aU5OMowolWlXl2YbS3aY18/h DW/28Cux+heSVZRtpOjxToJt/Tx+DH9lebswvwduS8EY0yva81Hs6Cq4lmE5mzytOcbepbm8 sbkVSTwVY1wLrcbefVXjMe6dqcrt1eWcvD0qKpU7p5zTbxiJixAAAAI9Sq6e4v6X+CIdnxqW nMYpgagAAAAAAGvoXXSw9vazb1fGM3Z8k5agrvW23fjah4qujluKvtmcRP67jKwWoAGRrI5d TcXTX3qph7Z/atWnCArSAAAD2PmXWIVunpMYAAAAK+vhm0ze+LT7inumdU+u+WSY2kA2tNPP YhLoo+tYG/rudYy7zFSE0QAAAAeSkoxcnsSq/YctwRhyblJt7W6s861sjwDR5ZDwznxaS9hp /Xni1T21Zuamxb800nw2v8C67yequa2qt3me61H/AHS/Ip27/wALJ1flSuXJ3JZpycmZ7tby ukkcHAAAAAFvlv3D+F9xd0fJX28NM2M4Bncu+4udT7TL0fKr+3hompQAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAObtyNu25y2IjttiZdkzWNcuSuTc5bWYNts3LVJiODjoAAsaGGbUx4R8T9hZ 0zOyHZfDWNzMAZGsnn1M3uTovZgYO252rVpMRxZsXL0qQXW9yOa6Xbh3baRo2dBZt4y8cunZ 7jVp0ycqNuy1Z2bC1WHQAAAAACjzTy2+t9xm/Y9F3SzzMuQXdHbnjHwy6NnuKtuqVOb2KV2z O26SXU9zKNtbFs2y4IpAAC1oPmS6u8u6eVfZwumhSAbGjnn00HvSo/Zgbuq51jNvMVMWIAAC CFrURuym5Q8dMyo9i4YlU12lynbMYTlqDyWbK8tM26uw5SIrFq9blLNKLjOTlKidavhiV6a2 J7WUu278ppxcVGLrGqddlMcek7tNrXJY6uW5yjCSaV2GKdMK0o11M7trb/klx/h5atXPUd26 050ypRrRKtd5zXW5zS2YxHkreod3OpQwTSTT2N149Auu2c+HZZjDq/C5ODjBxSkmpVT38KHd 5bMRzWyPIWp+i7VxpqmVOOGFKbxNbjFLfOY5Vm+8sbkou3BppquaWXZWpH27cXh33T0TlqAA AAAAHlxVtyXFNfgR24dnLCPPawAAAAAPJTjFVk0us5bI7Iu6XmNmGmSinOSb6FtL+vvk1Vb9 VtRX9Xeu4N0j+1bCO/ZdktdJEUJZZxkv0tP3EJcVKxuJppNbGegxh0ZvM4Uuxnukqe1GTvnn K/qvhTKFoAAAex8y6xCt09JjAAAAB5OKlCUXskqP2nLMwlYkouMnF7U6P2Hn2YbJXJwaHLLv mtP4o95p6NvRT26+q8aVIBBPW6eEnGUsU6PBlV7dYnOu1y+Yabi37Dn3au/XXj5lp1sUn7F+ Zz79T6qg1HMI3LUoQi1m3vgV792ZiJ69eKpFC0A6zzy5czy8K4Hc0w5OAAAAAAAABb5b9w/h fcXdHyV9vDTNjOAZ3LvuLnU+0y9Hyq/t4aJqUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADO5jf zTVqL8MfN1mTv3zcL+rX1UihaAAAGly21ltu49ssF1I1dGvjKjt284XDQqc3bit25Tf6VUjt cTLsmazNLpJX5ZpYQri976jJ19d28+jRvvhqQhGEVGKpFbjZJJwzW5enQAAAAAAAAo808tvr fcZv2PRd0s8zLgDyUIzi4yVU9xyzLsrP1Gndp1WMHsZm30wu12yhK0wC1oPmS6u8u6eVfZwu mhSAaHLLnntv4l2M0/r7eintnqvGlSAAAAAAAAAAAAAAAAAAAAAAAMOayzkuDaPOs8tkRXb0 LSTlXHZQhtvIlNcoXr7e6L/Ar+6JfXXD173Q97Ofd/Dv1uHrrz2UXsI3trv1xHLUXpbZv2Yd hC72+qU1jhtvaRSXtC/4X0SfcaenhT2crBarANfRXM+njxj4X7Db1bZ1ZuyYqctQQa216lh0 80fEirt1zqn17YrIMTSAAAHsfMusQrdPSYwAAAAAM3mNnLcV1bJ4PrRk79cXK/q28YUyha6h OUJqcXSSxR2XFyWZa+n1EL0KrCS80eBt03m0ZdtbEpYixtT9xc+JmDs+VatOIiIJAAAAAAAA AAAAAAAFvlv3D+F9xd0fJX28NM2M4Bncu+4udT7TL0fKr+3hompQAAAAAAAAAAAAAAAAAAAA AAAAAAAAAJVo8u3dXicoxLsLkZtXFSW11PP2ll8tcsx4cHHQABY0ulnelV4W1tl3Is6+u7f4 Q33w1oxUUklRLBI2yMwdFfURd6asrCC8Vx9iKt57rhPW48p4xUYqMVRLBIskwha9OgAAAAAA AAAo808tvrfcZv2PRd0s8zLgAAlFSTTVU9qOWZdZuosu1Om2L8rMu+mKv12yiIJLWg+ZLq7y 7p5V9nC6aFIBJYuu1djPg8eolpti5c2mY2k00msU8UzfKyB0AAAAAAAAAAAAAAAAAAAAAAMb VRy6i4v6m/fiYOyf2rVpwoa/yw62Ze70X9akULQAAAAXdA/DNcGjR08KuxaLlQBb5feyXcj8 s8PbuLunbFwr7dcxpmxnAM3W6Nwk7kFW28WuBj7erHmcNHXvnxVMpWAADqCbmklVt7Ds5K3D 0WMAAAAADm7bjctuEtjI7a5mHZcVjXbU7U3CW1bHxRh21suGrW5jgi69jKUWnFtNbGhLgsWo cxvxVJUl0vB/gXTv2iu9UV7k89yU6UzOtCra5uVkmI4OAAAAAAAAAAAd2YqV6EXinJJrobJa zNjm18NT6HS/s/F/ma/p1/DP9mx9Dpf2fi/zH06/g+zY+h0v7Pxf5j6dfwfZs6t6axalmhGj 2Vq32kteuThy728pSaIBHb09m3JyhGje11b7SGuknCV2tSE0QAAAAAAAAAAAAAAAAAAAAAAA AAAAAABzctW7ipOKkiO2svLstirLllp+WTj+JTeiLJ21z/i4/wBx+45/z/y79yW3y/TxxdZv p2fgTnTrEb22rKSSolRLYi1WHRxduq3Fb5SdIR4sjtth2TL23DLGjxk8ZPixrMFrok4AAAAA AAAAAFHmnlt9b7jN+x6LulnmZcAAAHF60rltxe3c+DI7a5iWtxWZJOLaeDWDMdi9Z0HzJdXe XdPKHZwumhSAAL/L9VT+Gb+B9xo6ez0qns09V81KQAAAAAAAAAAAAAAAAAAAAADL5hGmpb/c k+7uMXdP7NPVfCnctW7lM6rTZtKNtZeVktjj6TT/ALPxf5kfr1S99PpNP+z8X+Y+vU99PpNP +z8X+Y+vU99UtRCML0oxVEqUXsKN5irdbmIiCS3oH45rik/cXdN8q+xcNCkA9A1dHqVehR/M j5lx6Tb1dnun8s2+mKsFqABXu6HTzdaZXxjgVbdOtTnZYifK47rj9xX/AM/8p/c9jyy3+qbf VRfmdn68/Ln21Ytaeza8kaPjvLddJOELtakJogAAAAAAI7+nt3o5ZbVslvRDfSbTylrtYzL+ ku2Xiqx/cthj367q0a7yoCCQAAAAAAAAAAAAACTT/Pt/FHtJafKObcVtHoMgAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAbSTb2LFnKOLV63dVYST6N5zXaXh262OyTgAAAAIL+stWk1XN P9q7yrftkT10tRaJTuzlqLmL2QW5caEOrO191S7PHiLhoVAAAAAAAAAAAAo808tvrfcZv2PR d0s8zLgAAAAU9dao1cW/CXWZ+7X1W9d9Hmg+ZLq7x08u9nC6aFIAA9AvabmFEoXvZP8AM0df d6VTv1/hejKMlWLTT3o0y5U2PToAAAAAAAAAAAAAAAAAAABQ5pHxW5cU17jL+xOKu6aoGdcA AAGdq/uJ+zsRk7Pkv04QkE0+ilS+lxTXeWdV/shvw0DUoAAHUJyhJSi6SWxnZccFmWlp9fbu JRueCf4M1ad0vLPt12cLRerAAAAAAAAAAAAAAAIbmi088XGj4xwK9urWpzssQS5XD9M2utV/ Irv68/KX3VRuwyXJQrXK6VM20xcLpcxwcdAAAAAAAAAAD1Nppp0a2MDv6i//AHJf8mS9+35c 9s/B9Rf/ALkv+THv2/J7Z+D6i/8A3Jf8mPft+T2z8H1F/wDuS/5Me/b8ntn4PqL/APcl/wAm Pft+T2z8H1F/+5L/AJMe/b8ntn4W+XXbk7slObksuxtveXdG1t8qu2SRfNSkAAAAAAAAAAAA AAAAAAAAAAAAAAABX19zJp2ltm8v5lPdtjVZ1zNZUZSi6xbT4oxy4aMLEOYaiO1qS6V+RbO7 aIXriZc0lvtp9Tp3E/8Ao/hD6f5P8p/+1/8Al/od/wCj+D6f5cy5ncflgl14/kRv7F/Ds6og uavUXMHNpcFgV7dm1TmkiKMXKSitrdEQkylW3atq3bjBbIqh6GsxMMlua6JOAAAAAAAAAAAA o808tvrfcZv2PRd0s8zLgAAAAc3YKduUXvRHaZmHZcVU0KauyT2pd5T08rezhdNCkAAAAHcL ty26wk49R2bWcOWStTR33ds1ljJOkjZ1b+6M++uKnLUAAAAAAAAAAAAAAAAAAp8yuTgreSTj VutHQz99sxhb1SVk667flZr6knlddr6jF3bXHLT1yZZ/rXv3y97M3uv5X+2HrXv3y97Huv5P bD1r375e9j3X8nth61798vex7r+T2xy5OTq3V8WRtHgdd2ZZbsHwaJa3Fc2nhqGxmAAAABLb 1N635JtLhtRLXezhy6yrEeZ3V5op/gWzvqu9Udf5T/8Aa/8Ay/0Jf9H8OfT/ACPmj3W/x/0O f9H8H0/yjfMdRJpKkV0L8yN79ql9UaZsZwAAAAAAAAAAAZl/SaiV6cowbTbaeBj369rb4aNd 5hH9Fqv7b96I/Vt+Evsh9Fqv7b96H1bfg+yH0Wq/tv3ofVt+D7IfRar+2/eh9W34Psh9Fqv7 b96H1bfg+yH0Wq/tv3ofVt+D7IfRar+2/eh9W34Psh9Fqv7b96H1bfg+yH0Wq/tv3ofVt+D7 IfRar+2/eh9W34Psji5Yu2qZ45a7CO2lnLs2l4RkXQAAAAALvLPnT+HvL/1+VXbw0TWoAAAA AAAAAAAAAAAAAAAAAAAAAAAAZvMrlbsYborHrZk775wv6p4UyhaAAAAABa5fbzX8z2QVfaXd OudlfbfDUNjOAAAAAAAAAAAABR5p5bfW+4zfsei7pZ5mXAAAAAAQwhl1U3ulGv4lcmNk7fCY sQAAAAAAu8suUuShukqrrRf0becKu2eMtE1qAAAAAAAAAAAAAAAAAAqcws3bqhkjmpWpR3a2 4ws69pOVC9oNVK1Nem9nQZt+nazhfr2TLJ+lv/s7DF9ezT74fS3/ANnYPr2PfD6W/wDs7B9e x74fS3/2dg+vY98Ppb/7OwfXse+H0t/9nYPr2PfD6W/+zsH17HvjWtaXUztxlkeK4o269e1m cM13krv6LVf2370S+rb8OfZHj0epSbcHRYvYcvVt+D3xCQSAAAAAA9j5l1iFbp6TG49WNaUZ H3O4PWjTYznuPa99WPBnfcYeerHgx7jB6seDHuMHqxpWjHuMDuxSrRj3GD1o8Gc9x7T1Y8Gd 9xg9WPB/+Ko9xh67kVuY9xh56seDHuMHqxwweI9xg9WPBj3GD1o8GPce09WPBj3GD1o4YPEe 49p60a7Gc9x7T1Y8Gd9xg9WPBj3GD1o8GPcYUeZ3Y5beD3mf9jbhd1RQ9RcGZfcuweouDHuM CuLgx7jB6i4Me53B6i4Me5zAribpRnZTC/yz50/h7zR+vyp7eGia1AAAAAAAAAAAAAAAAAAA AAAAAAAAADF1E896cuLw6tx5+9zbWvWYiMi6AAAAABp8thSy575v8Ea+ieMqO2+VsvVAAAAA AAAAAAAAUeaeW31vuM37Hou6WeZlwAAAAAHqhWs/2r8Gxj1MvAAAAAAAS6eeS/CXB49TwJaX Flc2mY2T0GQAAAAAAAAAAAAAAAAAAADFvwyXpw4N06tx5+8xcNetzEZF0AAAAADT5bczWXDf B/g8TX0Xxhn7Z5Wy9W5vfJn8L7CO3Fd15YZ57WAAAAAB7HzLrEK3T0mMAAAAAAAAAAAAAAAA AAAAAAAAKPNPLb633Gb9j0XdLPMy4AAAAAC7yz50/h7y/wDX5VdvDRNagAAAAAAAAAAAAAAA AAAAAAAAAAADi/PJZnLgnTrI73EruszWIee1gAAAAAANvTwyWYR4JV6zfpMSMm1zXZNwAAAA AAAAAAAACjzTy2+t9xm/Y9F3SzzMuAAAAAAs6SGdXo8YOnXUt65nP+EN7jCsVJgAAAAAANuz PPZhLe0q9Z6GlzMsm0xXZJwAAAAAAAAAAAAAAAAAAGbzK3S8p7pr8UZO+ectHVfCmULAAAAA ALXL7uS/leyap7dxb07Y2V9kzGobWdze+TP4X2EduK7rywzz2sAAAAAD2PmXWIVunpMYAAAA AAAAAAAAAAAAAAAAAAAAUeaeW31vuM37Hou6WeZlwAAAAAF3lnzp/D3l/wCvyq7eGia1AAAA AAAAAAAAAAAAAAAAAAAAAAAFXmM6aen7ml3lPff6rOqeWWY2gAAAAADu1HNchH9zS/E7rM1y 3EbZ6LIAAAAAAAAAAAAAAo808tvrfcZv2PRd0s8zLgAAAAALvLPnT+HvL/1+VXbwq3Y5Ls48 G0U7TFwslzHBx0AAAAADV5dPNp6ftbXf3mzov9WftnlZLlYAAAAAAAAAAAAAAAAAAK3MLefT 5ltg6+zYU92udVnVcVlGNoAAAAAA9Taaa2rFCUbdq4rluM1+pHoa7ZmWSzFL3yZ/C+wbcU15 YZ57WAAAAAB7HzLrEK3T0mNCrtx6j03HLHK2nWrdGVza+7CWJjL25O47qtW2oumaUmq0WzYN rc4hJMZpZuTbnCdHO29qwqmqoa7XzL6G0LN25O5cjOOXLSi27Rrtbbk2kkeOd2d2ULclFQpV tVq3iLbbiejuJJ5efUy9BzovUTyZd2atDnv/AK59T2+Xqnet3IRuNSU6pNKlGsTubL59TEs8 Fy7cjdhFRpCUqZq9HAbbWWRySYdXrko5IQpnm6JvYqYtnd9rPE9TWPLc7iuu1cak6ZoySphW hzW3OKWTGY8V259QrbjljRtOtW6Me6+7B7ZjL25O47qtW2k2s0pNVotmwbW5xCSYzXMb8oxu +pRytbWsKpqqOTfGc+jvt4x6vPUvwyTuNOM2lKKVMtekZ2nmmJeHWou3LaWWNU2k5N7Kumw7 vtY5rJU0m0m0qvcidRRWLs7mfOsrjKlPYQ02tzlLaYc579yU3bajGDcUmq1a2nM7XOHcScu4 XZTsxuRjmb/TWnaSm2ZmOWYuDT3JXLKnLButadDGm2Zmm0xUXrX3ad9NZFirdMcq6SHu2x7k vbM4VucXJKzbnCObBvqwRV+zt4lifRPKh6lLOd/tq/cZs+Mr8ecOM96KjObTjJpOKWypHNnm u4jq9cnBVjGqwrLrfA7vtY5rMurs8kHJKr2JdLO7XEJMuM12E4qbUlPDBUozmbL5dxK9uXJx nBKPhk0sw22srki5orko3csKZ5rKq7F0l/VtZfCrsnhoW53I3fSuNSqs0ZJU2bUapbLiqLJj MPVufURtuOWLTda1rQe6+7BiYy7vznC25QjmaTe2lDu9snhzWZrxXaadXZftzP3VHu/rkx5w j9S/CMLk3Fwk1milSlekh7tp5qWJfDrU3bluNYxqsKyb2VdNhLs2s4c1kqZtpNpVe5E6iisX ZzdxTjlcXRLbuIabW5yltMI3fnO9K3bnGLi6KLVW2tvUR99txKl7cTNePXRcLajhduNRxTon 0s5e7xPzT63Vu+1qPQnNTllzJpU2bUyWu/8Ab21y6+Mo/q5yi7kZLKm6QyvFL+rZUh9tvlL2 ThLPVxyVtrM2m1XBYKu17Sd7PHhGafl7b1MJWXOqbjFSml1VO69ksy5dfKGOqnSM3JOMqNwy tUTwqm9pXOy8p3ScJL+qy25TtUlGOEp1wX5kt+zEzEddPPlIr9txk0/KszTTWHtJ++I+2o9N qldd3N4PTaweFE1XGpHTszn+EttMYeK/O7nlanGNuDpma2tbTnvu2bL4d9uOXUNVGelV9Ktd 3TWh2dmdfc5dMXBp9VG5Yd2bUaNp1wpR7MRp2ZmabaYuEb1N12fqIyXpvyQo25JEfsuPd6Je yZwkuauEdMr8KOLVVV03Etuye3MRmnnDqF+PpW5Tfimk6JN7q7ESm/iWuXXyztdqZ3LsYNZY qOZY1rV0Mvb2W3C/r1xFO/cnCFYxr08DPvtZFusykezDF8CbiO1cnKU1JZcrSS9hDXa3Ltjz NdnOSg1FQwxVasZtvh3EjqFyUrSmo1lvj0rA7NszLlnkszlOFZKjq1TqY1uYbTDvRSvTvK7G mWOZqLW1R6SXVbbmI9kkmGw9SnCtpZ5UzNV2J8Td9njwzez8vLWrtytKTfiy5ng0nRY0bOa9 ksyXS5RR1c8sbrknF0bhRrBumEntoQnbeUrp6JL2rpBu0szSzVeCpxx2ktuzx4R10/Lqeqtx 087yakoLF7qkr2T25cmlzhHHUzi4uc04tpSVHHLXY8dxCdlnKV1/D1X53XN2pxjbt4OTVavf 7Dvvu2cXxD245dW9VGem9ZKu5pcU6YHdezOuXLpi4NNqVctSuTajlk4yrhSj2Oo07MzNNtMX CN6m5K09RCSVuryRo25JEfstnunCXsmcJJauH06vwxi1vdKe8leye3MRmnnD2OphHTRvXJJJ xzP3VwOzsk1zXPb5xEU9TdtWo37koqEqVhTGj4PeQvZZPdeEprLcRW5zepO1aUlFurq8dtEk kU/tb+ZFnRrzWfG/TNGfnjwTxXEzTf8AK/2lu/W5KM6ReGWO14qo1384pdfDyd9u5KMZKKhS rabxfHgcu/nBNfDqF9SiltuY+BPgSm+f8uXV5a1ClVTwkpZaY0XRU5rvnl26uVenNycJR8Na QpVtLiznvt4d9uF7l2pWduCzSccFsVdu3YaOjs8+FPbo41FxSk7vFZnTZsxI77Z8u6z0VfUv KCutrK6NwpufSU+64ysxM4SXpzhByjGtFWvAntbJ4c1mSVzLac3uVRbiZJPLjPdg4ubTjJpN JUpUjmzl3Er1yuTnKMGoqFKtqtWzubb4MSOrdyUrealZLBx6Udm2Y5Z5XeT6isb3qUjR8dlM DR+rv4uVPfrxhZ+puStyvwklbTpCLTblT8y37LZ7pwr9szh7PWwdu3KElH1K4y3UVXhxF7Zi Y9Sdfl3DUOE3buuronBxTq0+hVJTfFxXLrnzHMdYvVpOkLbjWONW3Whydvnzw77PD2/qHG7G 1F5W05N0csF0I7vvi4c118ZLerj4ozdZRxrFNpxaqnhWhzXs/JdPwWtVW7KFykX4cka1br1H dezzil08eHlzUt3pW4zUFbpmbi5Yvq2HNt/OPw7NfGXsNXHI8y/ki6Siq0rWm3Yjs7fH8uXR 7Y1GdyjOiuZmlBY4Iab58Xk21wjeqnOU3CSSjJxUXFurXGWxEfst4S9kSrUqUE7azzazOFaU 6yf2ZnjlD2Y5eWNXCduLk/E064OlVto9hzTslju2mKjjqrjg7qlFxjRytpYpN8eJGdlxlL2T h3LU+pdjZsySbTk5NOlE6YbKnb2ZuIj7MTNe6fUZ3cg5KUrTo5R2NNVR3TfOZ+DbXGP5c6fV +rcuRksqglJJ8HXE5p25td20xI8d/wBedy3bmowhFZ3JPHMummBy7+62Q9uPNY6u+CcnRuDc ZU2Vi6YGH3eP8NWHli+pxnKXhyyaaeFPec03zK7trhx605QldhJKCdIppupz32zM4d9vo7Wo i7KuxxW9PCj9p33+Mue3zgt307Ebk35uCZ3XfxmuXXzhH9TP0lfqsj2QSdaEPsuMpe3zh3c1 CrFQkkpKuZ44bMES23/Dk1X+Wa5Qc9Pdfij4o0TdVTHBVNP6/bjOtU9vXnzFqWqqrsZ0hWKy KtW8yfAuvZzKqmnGGO5XJXJQg1FRpVtVxZhttuI1YmHVu5KUG2qzi2mlxR3XbMLCzOU1LMqN Saoc1uTaYcZ708zg0oxbSTVa0OZt4dxI7VxytKcY1b3VoSm2ZlzHkszcrSnLa9o1uZks8uI3 L2VXsMu3JTGleJGbXl2ycNyWqU7sLNmSUpJyzNOlFw4noXszcRjmmJms/wBfUynmzvNSlcFg Zvftav8AbElvVXbV/NeTbpldcHTaT17LNvKN0lnhd07Url26vJKii+OVbS/S5tqrbiRzau2n qbtJLxZcvTRHNdp7q7ZcR1CSt6i6pYZ6Si+OFGdlxtcuXzIQtJWpOa/U7lPbVCa+PP8Akt8+ HkrkL160rbzKLcpNbsDl2m1mCTEuTU3bauWk5JOMqyXBUY32mYay4rq4nK5YuR8UU3iuDW0l t5srk4sS5I51OniSon0E8ecuZcK5Yd3zJ3FVdJH3TP8ALuLhzcpb1CuydIOOWvB1qRvjbNdn mYROLux1E4YqaSh05URx7s2JZxh25Q1FuMYPFOLkuFCWZtMRHHtqW7OzFUuNKuNGS2s9UZL6 OoyjJZouqe9EpcuWI7SyXJqTVZyzRXFURDXxb/KV8xHbuwsu7G46PM5JcU+BHXaa5lSstxh3 p6WtND1Hl3uvS6ktPGvlHbzfBpF/14p9Pax1/E35cXZ2YWZWIPxUyxhvxI7WSYiUltyrc2i1 prcKVai1hjuRV+zP6yJ9N8qHo3bmmahCTajTBPbQzey3XxF/ukrt2ZStxU4SSwdGmjvtzPMc 93lxcnaXhm1juZzaz1dkvo8vRc7fhxo0100ZzeZhry5lON2dtQdaPM+hJHLZbMOyYL84KVtN qqkm10Dezwaxc0Sb1EJxWZLbTg8Kl/V8pVXZw13CLmp/qimk+s2485Zsq9y9aWqg3JUipKXQ 8Cvbae6JzW4S6icI2ZZmlmi0unAnvZIjrPLiCje0qhGX6VFvg6EZjbXDt8bZSSVuityo67I9 RO44R88lyNua9OT24034MbSXwS2eXbaSbboltZ21xX09227t1KSblKsenAq02mantLiOIVhq GnGVM8pVUW1SSW9I5PG3+3b5ji5bhat3IOD8+aEqNpVpV1I7aySz+Upc1LmtXNVG5GsssXHM k6VbW+hPMu2UcWa4VFL09L9LJP1ozeFHim200+mpRnGvt9crOb7vRJT09LaszTjK3WraosE1 g99ak+NZL6Oc217CUbti7CLdXajFNppVUXvaEuZZPw5Ziz/Kpd1TnHT24JpW4UuVVPFhgq9R Tt2ZxJ6RbNMZqzqrinpr8MVO5SUU01XCK3ot7LnWz8q9JixLOSvRnOC8KttVapjWtMeonb7p mfhGePF/LnS3rctZeuJvK0ksHV4VwRzr2l3td31vtkNJet2I3Y3awedzVU1VS4YYjr3mucm+ tuMKOn1V1RtRxVuNxSknHGjdXtXSZtOy+PxldtpPK7opx9O+8fFJtRo602VptNHVfFU9k8xF C6rektQkn6lvNCUKPNVppNKlSE2xrJ6xKzO1STasctuK4mnNSUY0bdWqLAnf69dyjPO/hVjq NXOVt2lLJCDj4Yuq2bcK7iib7XGFvt1mcs29e1ELqzPxJUdaPBtyp+Jl232lX66yx3LUxuWJ J4Tww447iV7M6uezFWlOLjmTTjxLsxXhFauQd25SS8TVOnAhrtM1Kzwjne9L1Un43KsfaQu/ tylNc4daS5/C5SdEpPHrJdd8eXN55daacXFpPGrdOip3rsc2ifltyFvPblXOoyjGNG223gWd G0mZ6odsz5WburdqaswTclbUJSadE1WqLduz23E/CuaZ8qtmOtu27dqCk1bTUtySo1+JTrN7 JJ6LdrrLl56+olZhp5prJFxk2qUwoc9+1k1p7ZnLQvXIytQ2xpbaxVKt0wXE1bbZk/wo1nn/ AG8u/wA+h1EbScpN5oqjVaUdMV0Db+2lkdnjaZJ6i3evwnGqjHK5VTVMrbeAu82ssJrZFexr ZQuzytq27jlKsXsb3YcCrTtxb+Mp7deZ/pY09Y6JSlFxy3PUkpJrBzrv6C3Txp5/P/8Aqvb5 f6daG7D+eWPik3FUdWuNNp3p2nk7Jwht3Y2tHbhNNTstqUGmninRpb9pXrtjSS+iVmdv8qv1 Wo+nuQjWMZVSiljiqYlX2be2xZ7Jl7O7qfo2o5nDLlao3TrVMBdtvYST3LNzVq/oXZUZepLL GKUW6pNY7MNhbt2e7THqrmmNsoudTULlqbrlmlR0f6ZJuuGBD9u4sqXRMyqEJfy3b1G7c4pR dHuM0vm30q+zxIhlfjbWDrJZaUTeyNNxC74SmuXlm+l6+fzXEsrpvpQ5rvzn1NteMJ7TyRg5 ppVbbo8K7CzXxjKN8uLUk43baxlO45RpspVY1I63mfy7fSuJaj0p+movMlKLbTpi6nLv7bh2 a58uuX/VpqKzRinVPYqVrtO9Pu4c7Pa7vX7sIxtyWCi40apvex+0ltvZ4rmusvl67sJ6ZW4u s2lHLvO+6XXDmMXKXUSjGzJN0bTS6Se98I6zy8uOM9M1Fp4fijl86uzxVe/qXOUVB+FUftKt +zPCeuuFhTjbu3FN5VJqUW9+BbLJblDGY9seG05SwUm5Y8GzuniZNuU3K9Tat3LjlLB58Fi6 bdiJ/r7yWod2tseR1N/6e1CCaUJVayvNjX8zk7L7ZI77Jm2vXHWWbVy44zinVQwrtVNm6p3G +stczrbhY0updzU2rk06xg4USdeum0t6+zO0tQ30xLHbuwU5Nvzp0STe2daYHfdM/wD5+XMJ btyNrXQvzT9KdpwzUeElKuK6Sza+3f3XjCEmdceuVa3eVj1b0k3ngo20lXFV4dZTrt7c38xZ dc4ho778KutudYYJN+VNbkOrf88+DfX8Jrk1ZvapTTXrxi7bo6Pw0fVQnb7btn1RkzJ/Dy1G ULF/NF/zPNF0dKPDF7hrMa3PqXzZ/Duxet+tlq2883gm8HseCJabTP8AuubS4Vbt+Vqzc08U /Vd5yTpVZW0612FO2/tl19crJrmy+mFnTXoxhCU6qKi4ZqOla4Y0LevbGMq99XGl8elt2Ip5 4SblhgljjX2nOvzrNfV3fxtaetGUJWUn6soRtqOV+ZN13HPdmY9cYd9vr6K89RON+0raalZh knJrCqwwK7vZZj0ic1zLn1cw+uu+vOCn/IvNRpOkabzk99zZny7fbMFnU3JXJOafit5HJqmO 45r2W3z+C6TH+123dhDWXLk6wg4JptNV2YLjSho12k3tv4U2Z1kZ+ptNWJ3srip3JTakmsM1 Vt4oy76/1t/NX63zhV0962rl6bdIt4V2vpoU6bTNqzaXEVbeonGMIqrhGdWqYlOu9iy6rdr+ PTzc6xUsEmnXZwL9fGvlXfNc2Gpae1SrcE1JUdVVNbDmlzrDbmooypZimnneaOSjqq03ewhL 4Sx5d3H6MU5J+KLSSVX5q7jt/rHJ5NHqbi1bvOr8G5b0+B3q3vuyb6z24atvUW52cHVyjBUV Xiq1WBs13ln/AMZ7rZVJTjbvXM7op0cW+hUKM4tytxmI/XVq3KVPFck5RT4cSPvxP8pe3KCF zUTk1BusnVpYFUu14Ssj2N6/ZbjLrcX0nZvtqXWVa084LTxbkklg+su0s9qvaeTTuMrCinjR 1XWNLnXBtyglqMtqNlLxJZZV3Fd38YT9vnK5H62PoOSnBwqs7VFSnHpL575j+FV9vlvnpsSp zG0pWfU/VB7ehlHfr4yt6r5wctuOVlxf6Hh1MdG2Zg7Z5Wy9UAAFEcA6AAAAOAdA4B0AACiO AdABRVrvOAdAAB5KEJeaKfWjlkplHLSaaW22vZh2EL1630Sm9QT5ZZfkk4/iiF/XnonO2oLn Lr8cY0mujB/iVbdFic7Y75dCcL81OLi8u/rRLoll8udtzGgalAAAADgHQAAAACiWw4FEAOin e5fK5dlPPRSdaUM+3Tm5yt17MRS1Fh2bmRvNhWpRvp7bhbrtmNiHkj1I3Thlr06BwUHyyT/+ n4f6mb/n/ld9v8K9qGTWRhWuWdK9TK9ZjbH8rNrnVrm5lKLacGdzO43ONvclV9bM3ffOF/VP Vc0tpW7EUli1WXWy7r1xFW9zWXq2p6i5XFVa92Bk7PO1aNPEjJj/AA6qm5OnsZin9dmm+Y0T UoRaiw7qjSWWhXvp7k9dsKl7Su1DNmrjSlCnfrxFmu+VjQ/JfxdyLenhDs5WC1Wu8vahG9ca 8qVPxL+nxLVXb5xHGit+rqc08aeJ9ZHqmdvLvZcRqG1nVOZWk7SuU8UXi+hlHfr4yt6r5wcu uZrLi/0PDqY6LmYc7Z5Wy9WoS5ZJyb9RYuuz/UzXo/ldO1WVv09VGFa5ZpV9pTjG2Fmc6tO5 q9Pbk4TnSS2qj/I13s1lxWeaWufrtJ+/8H+Rz7tfy79eyhzLmGmbhBT6Xg/yM3f3a8ZXdXXV jR6nSW7EfH4pYywe/wBhb1dms1Q302tTvXaRqjng+h/kWfbr+UPr2ZT1ensazwzwUsMHsfsM f2a67ctPst1XuaeW31vuNH7Hop6WXfsu7BRTy0dTHvrmNGtwqXdG7dtzzVpuoU7dWJlZN81L oPLPrRLpc7FovVDdFXgHWfZXraissU22zLr/AG2XbeI3OWfNl8Peej+vyx9vDj//AEFpSswn TGNcfcR/d1zJUv1r5ZmgnWMo8MV7TH030aOyLReqVbmilOcpZ9rrShTerN5WzdWu2/TuZK1p TEp21xcJy5jTobFAHEV65luWor9Usewr32xYnrPFbPL7UY2FOninjXoPQ6dcTLJ2XytFytla mPoaqsMFVSiYuye3bw06XOrVi00mtjxNkZkWpsO9byJ5ca1IdmnumEtNsVSvcvdu3KeeuXdQ z7dOJnK7XszcO+V7bns7yX6/qj3ei/RPaaVIdFbVaR35JqeWipShT2dfuWab4UtTpHYjFuWa rpsoUdnX7Vum+V7Qfax9vaaOn4qezlYLUEeon6dmc1tSwfS8CG9xLUtZmqPLrSndlOSrlWHW zP0a5uVvbcRpGtQo8ztKkbiWNcr7jN36+q7qvom0M8+njXFx8PuLOq51Q7JipNTZ9WzKG9rD rJb6+6Yc12xXzT5fKtHPFbcDyfpv5b/sQWo5dTGO2kqVK9ZjZO3w0jWzgHF236ltxTo3vI7a 5iUuKqz0LjFyz1oq7OBTerCydjzRNRnNvBKNWc6r5p2L1jmdm0pxzVjNNNUe2m3YaNO+RVt1 Wio0ntT2AZ9z+XVU3N09iM239tl08RoJJJJKiWw04UuL9tTtST20qus5vrmO63FVdDOk3Dc1 X2op6b5ws7IuTllhKXBVL7cRVFLRQ9TUKUsaYvrqZ+qZ2W73EfWHtPNDoh1irprnUV9vxqWn Kryt+O4uhFP6/NW9zQNShU1WtnZu5IxTwTdSjs7brcLdOvMTQvOWn9VrHK3TqLJtnXKF184S QeaEZcUmSl8I16dAAAAAAAAAcHM5pWpTjikm104HLfGXZPOGbPmGolsaiuhfmZL3bVonVEb1 Wof/ANJe8j9m35d9kW+XXbk3PPJypSlfaX9G1ucqu2SPL+uu2tRKKScVSifUc37bNsO69csS 2dfZuYS8EunZ7yendKjt12LJcrAAAAAAAAAADyTyxb4Kpy0jP/yd39kfxMv/AEVf9US6XWzv XVBxSVG6on19t2uEd+vEXDQqAAAAAAAAMvmP3H+1GPv+TR1cNOHkj1I1zhnr06AFLUa+du9K EYpqO9mffusuFuvXmKauv1/VpjmzU9pnm39srseMNk9BkAMrXuuql7F+Bi7vk09fxaqwSNkZ mHN5pylxbZ59vlsjN1eGol7OwydnyX6cNBbDUpA4g13yfairt4WdfLzQtKy29lX2HOrg7OS5 rYRwgsz47ht2ycE60uj1d6VmaqlGTo0l0FnV2Wyo76TKaFy5Btwk4t7aE5tZwjZK7Wr1K/8A o+0l9m35R9kdT1t6duVudJKW+mP4Hb22zFcnXJcpeW3IRnOMnTNSlegn0bSVHtjRNagAyrv3 /wDvXaYtvn/tpnxcaqWbUXH0092BHsv9q7pwhIJKGtf8/UkZe3lfpwvQwhFdCNM4U16dcUNX 9x7jN2/Jdpw3uYOtqy+K7kej3cRj6uazrk8luUuCqZdriZXyZqld1c7kHBxST3mfbstmF00w 70EvFKO6lSXTUeyLhoVObzpam/6X2EduK7OVPQr+V/D3lHTyt7OG3yz50/h7z0P1+WTt4d85 jXSN8K9jJftT+rnR8mDoH/K1/T3nm9PLZ2cLxpUgGfq/uH7Owy9nyX6cNA1KACnrJUvQfBJ/ iZ+2+Yt04a8OYTtwjCMU1FJVxN07rJhmvXl3DmVyU4xyRxaW/eSnfcuXqjnma/mi/wCnvOfs cnVwvaZ109t/0rsNHX8Yq25SE0UOs+2udRX2/Gpacq3K9tz2d5T+v6rO70XzUpAAFLmnkh1s z/scRb1cpNFKMdJFydEq1b6yXVcaudk/s4u8ygnS3HN0vBEdu+ejuvV+VS9rL92LjJrK9yRT t22rddJEcLtyFcknGu2hCbWcO2Su1q9Sv/o/biS+zb8ueyPburu3beSdGq1rSjO7dlsxSaSX Kzy25BRlBukm6pcS3o2nCvtnqvGlSzeYWMlz1EvDPb1mPu0xctHVtmYYcfvP9/eefPn/ALa/ /LQNSgAAc3flT+F9hHbiuzln2XSF34ae9oza3xV+3oiIJJ9PqXb8MsYdhZp2YQ21y80jUtRG SdU6uvsOddzs7vw0TWzgGdpcNRH29hl6/kv34XNU6WJ9XeX9nxVacoeXLxyfUV9HKfa+pPZe cAQ6x001zqK+341LTlV5WvHcfQin9fmre5euXIW4OcnRI0bbSTNUyZY1647lyU3+pmDbbNy1 azEadn7FfA+816/D/TPt8k1r5UPhXYWa8I3l0ScAAAAAAAG0k23RLazlGVq9ZK63GOFtbuPW Y+zt93+GnTTC95dD/wD19xo/8f6U/wDr/bIMTS9Sb2KoF7lialcqqYLvNP6/qp7VfW/dT9nY VdvyqfXwgK01/l+om5elJ1jSsa7qGjo3ucKe3Wcr5qUgAAAAAAAADm7jbmuh9hHbh2csM89r WuX/AHK6mW9HyV9vDUNrOAAAAAAAAZfMfuP9qMff8mjq4acPJHqRrnDPXp0cXr0LUHOXsXFk N9prMu665rGnJyk5Pa3VmG3LXJh4tqOQbp6TGAZWvVNVL2P8DF3fJp6/i05SpbcuEa/ga7fD POWGee1s/V46iXs7DL2fJfpw0FsNSkDiDXfJ9qKu3hZ18qOeWTJXw1rQz58YW4cnHWhoV/D1 tmnq4U9nKwk3sVS1WNNbcAPAAF7R61pq3ddYvCMnuNHV2+lVb9frGgalDJvyUdbKT2Kab9hh 3uN2nX4oJNttva3VldqbwChrV/P1pGXt5X6cL0PJHqRpnCmvTrihq3/2PcZu35LtOG9zBUtW VwXcj0e7iMfVzWNrbyp6UXi/MYO3f0a9NfVSKFq1oPmS6u8u6eVfZwumhS5vKtqa/pfYR24r s5U9C/5X8PeUdPK3s4bfLPnT+HvPQ/X5ZO3hLzf7G4+H/on+z8Kj0/J8/oF/K3/T3nmdPLb2 cLxpUgGfq/uH7Owy9nyX6cNA1KAClr1/JF9HeZ+7ld18LkHWKfFIvnCqpLXzYfEu0lryjeFn mb/miv6e8u/Y5V9XC9plTT2/hXYaOv4xVtykJoodZ9tc6ivt+NS05VuV7bns7yn9f1Wd3ovm pSAAKXNPJDrZn/Y4i3q5UHcm4KDfhjsRmzcYX4cnAA9Sb2KoCjW0DwD0DQ0WtcmrV14/plx6 Gaertz4qns6/WLV61G7bcHv2Pgy/bXMwq1uK+WcJQ1zjLaptP3njYxvj+Xoy51XjSpAAHN35 U/hfYR24rs5ZalROP7u4x5aMPA6AVtHena1EWumqezYU9W1myzfXMbVrV2p4N5ZcGehr2Ssl 0sTFiLO0uOoj7ewy9fyXb8LmqVbE+rvL+z4qtOUPLvPJdRX0cp9r6k9l5yO9ft2UnOuOyhDb ea8pa62qer1tq5acIVq2q14FHZ2yzEW6ddlzUOn1TsRkoxTlJ7WV6dntS20yju37t11m68Fu RHbe7cpa6yIyLrWs/Yr4H3mzX4f6ZtvkmtfKh8K7CzXhG8uiTgAAAAAACjzG+1SzHrl3Izd+ /ou6tfVSt25XJqEdrZn1mbhbbiNXUxk7PpQ2ypFdCW029k8YjPrfOa5s6GzbSqs8t7f5HNeq Q27LVhJLZgWIB0V9TooXayXhucdz6yns6pt/lZr2WMucJQk4yVJLajJZi4aJcpNLcVvUQk9l aP24Euu42iO8zGwb2UAAAAADm7cjbg5y2LbQjttiZdkyqy5nZXljJ+5FV74snVUN3mV2SpBK C47WV7d9vCc6oscvuZ7DjJ1lFutenEt6dsxX2TFZ9627d2UHueHUZdtcXC/W5ibl33K6mT6P kh28NQ2s4AAAAAAABl8x+4/2ox9/yaOrhZXMbEYpJSbS4Fv3xD6qinzOX6IU6W6kL+x+IlOr 8qly7cuSzTdWUbbW8rJJHBx16tqEG6ekxgGdzO21cjc3NUfWjJ3zzlf1XxhYjeU9DKVcVBxf XShbNs6Ie3GzKbSVXgltMbSzo/zaqu5yr7EZZ/bZdfEaJqUAFLW3ayVtbFjLrM/bt6Luueqq UrHdq1K5LLH2vgS11trluH0XL9DZjokqVlJS8T62j1OnpnsYezsvuR6G56WoyywzeF9ZDquN vLvZMxqOMZKjSa6TZYzvmea2rML88qpJyeC2UPI/Y1k28PQ6bbFAzrgDQ0l7PbyvzR7DT1bZ ijfXFUNdPLea3ykkZu6+V/XPDwABW1cfLL2Mp7YnpUtialbXFYMnpcxHaeXj1NpYYj7I77ar TmpXc26v4FNuanJ4a1zW3ZKkfCujabtu21nmkVypMAtaD5kurvLunlX2cLpoUjVVTiHWdZfo 6iksEm4sy6327LtvMaJqUKnNJqOkmt8qU95R+xf6reqf2ZmkjhKXHBGPrjRvU5agAU9R85+w z78rdeEz1Vvcmyz7Ih7K4lq3+mNOlkb2JTRBKUpOsnVlduUpF606249SNGvCq8pLfzI9a7Se vKN4XLT9bmEVHGvhRfr/AG3VXxq+nikopLYlQ9eR54dEOs+2udRX2/Gpacq3K9tz2d5T+v6r O70XzUpAAGZr7/qXci8sMPbvMfdvm4aOvXEVClYm0+nnfnRYRXmlwJ6aXao7bYX5aG1GxKMI 1nTCT21NN6pjwpnZcq3LbqjdlB4Z9nWiro2xcJ9s8ZaMoxkqSSa6TVZKoyzNfas25pW1STxk tyMndrJfDR123lVKVj0DW0d/1rKb88cJG3q390Zt9cVj6uxn1jnFeJTdVxVTD2aZ2z/LVptj V6dcAAHN35U/hfYR24rs5YsZ5r8luiqGCXOzXZ4Sk0QCnP8Ajv13Vr7DPfGy2eYuJpqq2M0K nstTctW24ya3JC9l1hNZa40OqmpuUoppKnDac6ey5y72aL8tbanCUXFqqpxNF7ZYpmlirotb ZhfSk2k8HhvKurtk2WdnXbH1X1+l/c/cz2fu1eb9dZ9+OpjGMbtcq8tcTLvNpyv1x6ISCQAA 0I3uXZVWKrTHwmmbdam67pVrdGo5U6R2Uo6E/t04R+vZYjTKqbKYdRbFdenQAAAAADyUlGLk 9iVWctwRWd/Q30nOlf6sH7yn36bcrPbtOBX9DYTcKV/pxfvHv014PbteU9pylFTkqOWKXBFu vmZQrsk4AAAFTmNhSt+ol4obeoo79MzK3q284ZhkXtDS8wioqF3asFP8zT193pVO/X+F40qQ AAAAV7ur0tZW7jrTBqjewq27NeKnNNuYguXeXu3JRiszTy+HeV7baY8JzXbKgZlyXT35Wbma OK2NcUT03uty5trmL71GivpepSvCWD95o9+m3Kj27Th3YejU8tnLmfDF+8lp7M+HNvd6py1A AAAAAABSvWtc7snbk1Bvw+Khn313z4W63XHlU1Fu/GSd51k1g61KN5Zyt1svCEgkAAAHq24A XVZ5jVVk6b/EaPb2Kvdo0DUocXrUbttwlsex8GR21lmHdbisrWabV2LNxwdU1SsevgYu3r21 lw06b62+WU4ay5hKtOnBGPG9aM6xZ0+nVpVeM3tZbpphDbbKYsQQav1cqlbdEquWNCvszjwn pj1UG23V4t7WZV7wC/o7Vy2pZlStKGnq1s5U72V9BolTS2+rvPT6vjGLflDq9C7knct4Se2L 3lfZ058xLTsx4qBf5GCyrNRe0r//AKRP+lZd3SXp6mcrzp4nWuLZj267drlom8k8OdZZSgpx VMuD6txzt08Zd02Uyha9jOUHWMsvSdlw5ZlWvQ1Fy45vbuxKdptblZrZI8yari/ecxs7nVZL lbycVKLi9jOWZJVZ2b1t1hj0op9lnCz3SoXWuO0gmLagNA1KAABLYjelJ+k6OmONCWkvojtZ 6renhqIyfquqphjUv0m3qq2s9E5agg1Ol9R5o4T39JVv158rNd8IEtbBZVmp7yvG8S/rUd7T X7luUrjoqbXtI7de1nlLXaS+EMYqMUlsRXJhKvTorzhqXJ5W6VwxKrNspyxDcjOMvHtZXtL6 pyxwRdAAF6w/4omnThTtykSbaS2vYSRa/J9L6eqjKeM6OnRgbv1evG2azd++dW6ekxotVG9K 1Sy6TrudMCvsls8JaWZ8qctPzCScZNtPanIoum9WzbVzDSa6Fcnhrto0cnXvOHbvrVnS29XG 43ebcaYVdcS3r12l8q97rjwtF6tU171EaTtycYJeKjpjUo7vdPMW9ePVmmReJNtJbXsA1dFZ uWrTjNUdar3G3q1snlm7Npb4WC1BR1Wgk5u5Z2vFx2Y9Bm7OnzmLtOz0qOvMksvi/wDOkh// AES/o6saC5Kee/s2tVq2S06bbmubdk9DmNhRauxVE8JdY79MeTq29FEzrUlmV1Ty2pOMpYYO hLW3PhzbHqm+i1mbPTxVrWqrUs+rfOUPs1VNXoNfCXqpvJXxKuwo7OneeVunZrfD0644vKbt tQwlu3byO+ceEteVDUvWW4UcnWWCVTNv7pF2vtrPjZvxdVg+syzTZd7oltRvqac34esnrNs+ XLYmLEEd6yri4SWxkNtcu67YQKOphgq06MSvG0TzKelfuPxe9j27Xk90izbgoRyoukwhbl0d cQ3dPmlmhte1Fe2mb4Smy+vrYqizdpp/vFP9X1NyzbuJKcc1Nh7O2svLzptZw4+i0v8AbX4k fq1/CX2U+i0v9tfiPq1/B9leS0emUW/TWzpOXq1/BN6yDE0gG5a+VD4V2Hoa8Ml5dEnAAAAA AK+vnl00uMqRKu641T655ZJiaUlmGe7CHFqvUS1mbhza4jaPQZAAAAAc3HbyuM2kpJrF0I7Y 9XZlhuUFJxzJtOm087MbA642dLPPp4S30o/Zgb+u51jLvMVKTRAAACKWk08pOUoJt4t4ld69 b6JTevPotL/bX4j6tfw79lPotL/bX4j6tfwfZVXX2LVuEXCOVt4lPdpJPCzr2t5UTOtWNFGU r1IyySo6SpXtLOqefCHZwu6FSSuqTrJXHVvfsNHVOf8AKrs9Et6F2UfBc9PjhWpPaW8XCOtn q40H2sPb2sj0/F3s5damF2UG4XMiSdVStfad7JbPFc1seaP7a31Dq+MN+XGthddqUlcpBLGF NvtI9suOUuuzKe18uHwrsLNeELyrW7cdTcuTu1lGMssI1aWG/AqmvvttWW+2TDy3Ztu9cs3F nUKODb2J7jmuszZS7XGYh1OgtxuW5PGDuJKFKU9tSHZ0zM/ylp2XFW56TSxi5emsE3te4uvX rJwrm9Uv8dpp6SV6ca3XFyUqvDhTEz/Rrdc3lb9tm2FDTTlK21J1lFuNeozddzF+08uIRnHV wzzztp7qHJLNpl23+r6HVXHbsSkvNsXtPT7NsasOkzUM9JCFlzi360Vmz1dW1iQvVJM+qU3z f4TQlO7p4yjLLOSXipWj6iyW3VGzFUrqnGOpjKWeXgrLZ0mfbM92f4XT0UyhYAAINbOlmn7n Qq7b4Wdc8s8zLkliGe9Fbq1fsJaTNR2uI0zYztHRuVucLdW4XIKaXBmrq8XH5ijfzMpNbC67 UpK5SCWMKbfaS7ZccuddmU9r5cPhXYWa8IXl8/ctxv371y5Vpzaiq4JHmbT3bW38tsuJJEdu rjdsydVHY3wZHX1iV9KyYQjOLuXN7dMdiMUmfNabceIhndk45K1ing+JVdrwlIt25ZoRfFGj W5iqujoAAAHHoWv2kfZHfdT0LX7R7Ie6tOWltTgsiUG8a7TXeuWeGeb2KMrcbdUtuaSb40oZ 7rhdLlBdrK5G3WieMivbzcJzjKfRpWb8XDCMvDJdZZ1T27eEN/MaN+NxxeWeVJOqpWpq3lxy o1sNN8iHUOv4w25cOKvX5xlXJBLw8WyOPdt54iWcQtr0r/prySjVLgxPG2HL5mUc4q7G9clV qFVBblTeRszmpTxiKZQtAAHMrcJOslVnLrK7K89C1+057Ie6noWv2j2Q91cXbNuNuTUaNEdt Zh2bXKPT1zwxqqOi4EdOYlssTk45cu1yST62W24QkbGm08bdxXLbauRTeau2i3m7r0xczll2 2zMVuJyuWVKMskpJNOlaVPQ5nhj4qDSxlHUX1OWeSy1ls3FfXL7rlPfiOtU5SuWrKbSm25Nb aIl2XNk/LmnFri7ahppW7lqsU5KM41bTT6yO2s0xYlL7vFWLsLko0hP03vdKlu0t4uFcs9UW gr6Lq6vM6sr6eEuzlS5tL1b0bDb9OKzSit76feUfs3N9vou6ZiZZ8V6V+MI+Safh4NGWT27Y XcxYhZuXJtqeWMIuUo0206S2a23lC7SNnTfb2/hXYb9PjGXbmoLduOpuXJ3ayjGWWEatLDfg VzX322p2+2TDvTNwvXLFW4xo4V4Pcd08WxHbzJXFm1DU57t2slmagquiS6jmus381Lbb2+I7 0spKV2zJuXpvwt7aMl13mfhHecVX19m63DNczptuMaUpTEq7tb61Z17Rn3JZYSlwTZm2uIuk RWrEZQjck27r8SnV4b0V66ZmfVO7eje0d2V7SxlXxNUzdPE9Lq292rFvMbI7cJrWuNyfqN29 rVMK7KEdZff58+Erf6+FPmumlZtu5Z8snT4amf8AY6/bMxb075uKzr1u1ZgpRbV3c64sy76z Wfyv1tqpcuSuScpbWU7bZqyTDk46AAAAAAAAex2oRxrG5mbEXKNy94nKiTSe7bwN0tlrL6Rz aclKy8zl6kW5VdcaJ16COvp/Lt9TNOFvUPM5OD8LfwpjNkpjNji6524zjGTdbTdW641pXHrO bWzOPwlr5/8ArOWh1Ubrgk2nGu1Np1pvqZfq2lwv+zXDiFq8rXjUk6vxNdLIzW48u2zLUtSl 9JYWZ+Jxi5Vxp1mzW32xms/tVm3CUcybqq+Grq6U6S3WYQteybSwVWdrjnNep5VX/wA6SOa7 iGa7+07mngUru+P/AJ7zmaYhmu/tO5p4UuYzm1CMlTeZ++3wu6oomdas6FN6hNKrim17i3p+ SHZw0c93MlRY7DVmqMRHLU3FblJRxjJRo+NacSF3uHZrMvVO99Q47YuNaYYY0O5vuMTDyMrq vyWLWRNRdKLaJb7iyYRQuX0rVzFu43mTdVsb2VK5tt4v5TsnmK2rd12bM3VuabdXXGi3VKuz OJU9MZrE1CavSqqOtfeefvy168OFKS2NrqI5daXL9dq4WnGMsyT2Sx2mvp7tpFHZ162tG3zS 5suW/bH8qmrX9i+sUXpnot277uRrCjfAv13zwruuHea7+07mo+DNd/adzTwZrv7VQ5mmIZrv 7TuaeDNdr5VQ5mmIqcxc3CGZUVWU9+cLerlnmZcsaFyWoWVVdGW9PyQ7OGlW4qtRWP5Gryz+ Byu08qFtdxEfL6/SQrtx7WQ6fjHez5Jrvy5/C+ws24RnKPR/bW+oj1fGO78ms+2udQ7fjTTl Ja+XD4V2EteHLyg0dIyvW35lNunQyvq8Zn8p7+lLDzau9NYxSUa9I087Wm3jWPdZ/wDH/wDk iO30/wAuaev+Hd+7ZVucXNJtNUr0Et9pjGXNdblTt67Sy0Lip+JRcWqPaUa92vsxlbeu+5ma TySlulJtdRk6+Gjd6/vLfUxfnD/zW5rouWmnTdR+5no90zqx9d8urt2H00p1wcXTraO7bT25 ck84e6WLjp7ae2nad65jWG98qOq82o64dhn7Ob/pbp6KZQtAAFPXy8UI8E2Z+6retUKVqzoV W83wRb0zyr7OF40qWjp6Sv2suKhaWZ9LNWnnafxFG3F/yn1n21zqLO341DTlJa+XD4V2EteH LywY+G5eg/NCck17TzZ4tn8tt4lVletxnek35nSKW+hV75Lan7b4Y16UszhXwpui9tTBtfRq 1iMgkuaZ1tdToaOu+FW/KUmiAAAAABrRVIpcEbYzVnXtsvjl3GTZfqqzwvwb2NNVKr8lk4WL GN+EVtqn7EWafKRDbhp3PJLqZs24Z5y403yIdRHr+Md25cW/DqbsXtlRo5r42rt4j2ubVqn6 I49bHOx/5Rworeog9qzOnQ0RnFjt5ikZ1wAAAAOXdtrbJEbtHcVFdvW5W5JOrZHbeYdmty40 /nh1Mhpylsnufpf7ZJ/iW7IRuWpxVXXCUWl01R6OtZLGzZi42YRe1RSfuN+sxIybXyisfd6j /b2FenyqW3xjzUUhqbFx4Rq4t9awG/jaV3XzLDWvMrdteaU1RdCHb6Q6/WrJcrV9D8mXxSKu nhPs5ZvMJU5nKL/VBUMndf8A+n+mjrn9FSfi1VtL9Cbl7Si+dosnDR0kf4tRLhCnvNXXPF/w o35jQ0329v4V2GrT4xTtzUWjpGV62/Mpt06GQ6vGZ/KW/pSw82rvTWMUlGvSNPO1pt41hoWl Cdt4ShJ1Q6uMHZzk0vivX7i8raSfUOvzbTfiR7qvm2PiHZzHNOKyNTB5LkFtxS9hi3nixq1v Dizcj9PGVcIqj9hHS/1d2nlq8nq9Bbb3t9tDb+r8Izd/yStpa+r2en3kv/f+kf8Az/tBrtVa lFQg8zjJOu7Ar7uyXxE+vSsfVaaU5O5F1k9sfyMPZ158xq02x4UmmnR4PgZ1zwAAAAAAAAB7 HahHGnbr6k023spU1681ReG9G1CM3NVzPbi3+FT05rM5YvcQs24OsVR0osW6LorsE1kLtaRs 241pXxearbr72JpIXakbNqKaS8yo6tvDhiJpD3UjZtxTon4sG6uvvrUTWQu1I2YRi4quV7Vm f5iayTBdqRsWlDIl4dtG26U4VOTSYwe6uybgAAAAAGbzN/zRXCPeZO++V/VwplC1c5Yv5pPh HvL+jlV28L8rUJTU3XMtnia/CppuszlTlxfhajCd1rFKu10rsWGwjvJJlLW2+GNkjnz45ut/ mYMectWVnl1uP1anjmo977KlvRr/AGyr7b/Vpxs24yzJY40xdFXbRGyayM92qlzG3CChlVKt 4VdPYjP36yYXdVywdav530pHm9vybNOEBWmuaB+ddTL+n1Vdi2XqnUZSi80W01vQlwWL+m5g pUhewe6e72mrr7vSqN+v8LpoVAAABj6qefUTa2VovZgYOy52rVpMRCQSWuX/AHK6mW9HyV9v DUNrO4u2LV1JXI1psxa7CO2kvLs2s4c29LYtyzQjSS31f5kdevWXMdu9r27p7N2nqRrTZi12 HdtJeXJtZw8t6axalmhGj2Vq32jXrk4du9vLy/Y00q3Lq2LF1aw9hzfTXmmu14inb1GWUvpb O3bXNJ9pnm+PjF11/wD2r36i1cuJaq1SX7lVU60d98t/tHPbZP61Zu37GmgoxSrtjFdpdtvr pFc1u1ZGruW55rl1UTeKTaq/eYe3aXzWrSWeIpw1FxKlm14fbIom99Itus9aQuWLlyl22oze /FKvShLLfMLLJ4XUklRKi4F+FSL6TT/s/F/mQ+vVL31Pb5rPTThYa9SGCabxS2Fs/ZutxzFd 6fd5admzo7n8luCrwxwfUa9NdL5ijbbaeKsThGcXGSrF7UW2ZmKhLhna23pbaULcaXNrxbov azL2zWeJyv67byplCwAAUNa63+pIy9vK/r4VytNb0C8U30Iu6fVV2LhoVJr+uVnSyhZtpNxS lJ73sZPfu9uuJEdevO3llfUQnOt6Fd1U2u8xe+W+Y0+3HC9y3V2LN2btQbbjjV9PtNPR2a62 4int0tnlR1153dTOTSTzPYZu3b3bVd164iuVpqWoX80v/Nxn35W68IyCS1pH4ZLpLupXunLU AAAAAex2oRxqXLcJxyzVVtNtkvLPLhk3LVn1ZTjHfVYsw3WZy0y3CNXIXJu241S3kPdLcJYx 5XOW2rcLksqo6bfaaOjWSqu22xduWbdymdVpsxZo21l5VTaxVd21buUsQrLZWrf4FPukv9Ys xbPLyd+Tp69rDdtTOXf/APaE1/FW7CtZE7SpFl+mMeFe2fVzfs25wlKUfEk6M5vrLDW2M0yN AAAju34ww2y4ENt8JTXKrO7Oe14cNxTdrVkkjgi6AWdPatzhWSq69JdprLFe1sruV2MJRtpV 3bdhK7Y8OSZ8tHlV23a1cJThmSrjvWBq/X2k28qO6W6vpk7V+1+6Etp63jaPP8yqepWisPKr eae2mZ4fiUdk019PK3X3X1cz1eolH+Swnbe2sWvxOXs2x5nh2aT0qfRfSyTlahlmtqbq17y3 q9t4Q7Pd6p7tm3dSVxVSxW1dhZtrLyhNrOFCV3T27qWntZprZKrePQqma7ay/wBYvktnmszX 6mc9RL6i1hVUwaezpMfd2W7f2i/r0xPFd2I2clbSon7yWkmPDm2fVo6DTWbsZyuRq6pLFrsN XT1y8qOzezhbVrT6eMrkY5aLHF95f7ddfKvN28I7Xo6yLnO3RxdNv5UIa4382O3OvFWYQhCO WCouCLpJOELcodTb0qi7l6Nab1VN+4r7NdealpbxFaOsvNUsWVkW5JvsKp23/wAxZdJ61zal pblzLetZZye2sqVfRXA5rdbfMd2m0niql/0bN2cE1GKk6Jvp6SjfGtsWa5sU7k9Em5Zc0uCr /wCija6LZNl3RcxuPTuChHLVqjrsftRo6u++3CnfqmXhx14AAjvae3dWKpL9yIbaSpa7WKV3 TXbeNKx/cjPt12LptKhIJAAAAAAAPY7UI41I24xk5KtXtxbNk1jPl9AeoxAHjkltOWmHMr0U tlf/ACpG7O+1WjzO09sZL3Mqn7EWfVVm1ftXV4JV6N5brvLwrutjsm4HBxmkpW4tqr83S6Ec 8O4c+o8qeZeej6qnPc7h47k6Tx2J7tjTw95y7Xy7h76kvUonh3UrX3ks+XMeHiuTeTHalu2t uj9xz3XwYZ2sk5X3V1phUy9tzV+k8ICtNc5c2rkqYKmLLujlX28LUr+WMZSkkqJ9brR+4vu+ FU1UdTq53Uo18Cx62Zt+y7LtNMK5Wms6B/8AYW7B4+wt6fkh2cL6uTahjtS3bXWj9xp918Kc KPNLkslvxfqnjThsRn/Y28T/AGt6Z5Yurbd2r202e1nn9nLXpwgK01jRSau04ot6r5Q3nhaU 5Zat71+O1F2VeBzl4sdifso8BlzDrO3Lbh3UrUZ8mF3luqvSpbbqkk49ONGjT0dlvhT26Tle V2VKuW+NcOO1F82qrBK7JKbzUopbVso8Pedu18kitqtc/FC3KtcKrZsKezt9Inp1/lQM64As 6B01C6mW9PyQ7OGl60eD4mr3M/tPVjwfA77jB60eDOe49rsm4AUuZ3Gowgt+L9hn/Yvou6p6 rOntK3ZjFcKvrLdNcRXtc1V5xKENK5//AET8HeU/tWTXPqs6Jm4ZWmuyuWk5Osk6NmPr2zGn aYqDWycrsLa/8bKu25uEtOMtDT6O7OKVuNILY3gjVp1Wzwp23k5R8y5ZOFn1nJVjtp1Ee/8A XsmXertzcOLE89qMntax9hHS5iW0xXGotXptenLKt6q12Ed9beHdbJyqO1K3fhGTTdU8Oso9 uKszmNaxfnZuKUdm9cUbdN7rcs+2uY14XITtq4n4Wqm6bSzLLZi4Y03Kblce94+2v5GC3Plq njw4OOgADO1b/wCxL2dhk7Pkv04QkE1zl+yfsL+n1VdizO5CCrJ0LrtJyrkyoajUO7LDCK2I y775Xa64QkE1rQfMl1d5d08q+zh7d0d2VyUk40bqtv5Dbqtrk3mHP0F7jH3v8jn0137Io6rR 3VearHYuP5Gfs6rldpvMIvpLnFfj+RX9dS98WdFo7rc0nHdx/Iu6uqq+zeLX0F7jH3v8i76a r+yH0F7jH3v8h9NPsh9Be4x97/IfTT7IfQXuMfe/yH00+yH0F7jH3v8AIfTT7ILQ3U03KKXG r/IfVT7Iuaq3co4W5Rddsk3+GBf2a3iKtLOazLnKtXKTpcjlexVl+Rk2/X2vq0Tu1RaXRXfX caxqk1v3PqIdfVcpb9kw1+XcvvO5Kko+Xi+PUbejouWbt7JhZ1Wgv27EpZo12LF7/YXdnTtN VenZLUeg5Ve9J3KxrJ02vYvYR6f17jKXZ3TOFi5ym9ODi3Cj6X+RZt+tbFc7pFPl+hvuU7ea PHa+rgUdPTtwt7OycrV/lmo9GdJR2Pe/yLt/19sVXr2zLJ+gvcY+9/kYvprT9kPoL3GPvf5D 6afZEOosXbUaVjmezb+RDfSxPXaVSelut1bVfb+Rn+urffD6S5xX4/kc+unviW3yvVTVVRLi 213E9f19qje2R1PlF+EHNzjhuVfyJX9baTLk7pSzy7U3LdYTilV1VWty4Ia9G1nim3bJXMuX 3rd6MZSi22ng3x6iN6bK79ksaWn0ty3dUpNUVdlfyNmnXZcqNt5Y0NNqZWJ1/Q/MjTp2e2qN 9MptBS/qJXpY/qXW9hZ0/wBtsodniYaRqUM6K9DmGWOEZOlOiRln9d1986resuOGnm1teC9u Bf23GqrSZqLltpK07n6pOlehEOjXxlPtvnDP1sFcu3YvY20Ze2ZtXddxIo6CTTnB9fcZ+m+i 7sjd5cm9POm1t09yPR6PjWPt5Q3tHqlBzuXFJRVcW32or26tsZtT13noisau7Zi4wpRuuJDT suvCW2krt8x1P9K9hP79kfqiK9qLt6im6pbFsIbb3blLXWTh4tRfUVFTaitiWHYc99/Lvtji UpSdZNt8XiRty7hman58+sydnNaNeERBJe0Hy5dZo6eFPZyslysAAAAENzS2p40yviivbrlT m9itc0V2Pl8S9zKr1WJzsiCUZRdJJp9JXZhPLw46AAAHsdqEcaxuZm8ekxvJSUaV3tL3nLcE jl3YrNt8NXs20wdDnudwSuRxjjs29NK0OXYkYhga3UZSjJSi6NbGhLgsbVqeeCe+n/s9DW5j JZh0ScG0lV9XvOWiC9JTUI45ZTyyWzZUr2ucf5T1mHFz+NX4w8McsWktzbo6EdvGZHZ5xl2o RtX4RgqKUZZl1UoyWMbTDmcx7ZTV66nJy8uL6md1nmubcRl6mdbs5ze91b3Y0Me985rTpPCC F6E5SjF1y0q92JXNpeE7rh1O7G3GsnRdrO3bDkmXMdSpzUZZoyezOtpGdma77cOpTjFVk0l0 krZHJHlu5G5HNHZWmJzXbJZhY0l+FvUxqnKTTpGKq2W9e8myG+uYvaW9GeovRrLMlFuM8Gtp o69s7VTvriRR5nldn1P/AKqUmnvSTojP+xxn1XdXOPRl675q+Ex93LR18KxUsTadN+pRtUg3 gT09UNlybfpW1uk4p9TL7xFc5cXP43cUMFkTotzrQ5t4zh2eXahGF2CgqKSdV1HcYsw5nMd6 e9dsaqeSXmgq1o95LTa67XCO2ssdR10rlxtNt1r6lMOpMlO3Nc+vEdTuTm6zk5dbqdtt5JJH JwAAFnQSUb9XsUW8C3puNkOzhpO9BPH3+ypru0Z8PVci6KjTbpTppUe4wjertKag6pyo44YO vAj9kzh32V1LUWoukpZdtG99NtDt3k5JrXtq7G7bU41o+PQd12zMubTFUeZ/Nh8PeZv2OV3V w0TUoYnNL3q+o/0xVI+w8/8AY2zlr6tcYU9B8uXX3FHTwt7OUtnTq5r4SmqwUopLjiieumd8 1HbbGr6LZgj1GFT5v9hcKP2fhVvT8mPo/kLrfaYer4tW/KdbUWIK/M9O7OvhHbF5XF9FSrv0 9u6fVtnVOWoLmivNQuWm8HFuPXQu6t/Fivs14qvH5E/ij2SK58f/AM/lP1RkXQABm6r7ifs7 DJ2fJo04REEnUbk4pqMmk9tDstjljxtt1eLOOvAAFrQfMl1d5d08q+zhdNCkAz9b899SMvby v04QFaa3oPNPqRd0q+xcNCkAAVdVfu25pRdE1XYU9m9l8LdNZYrvVX3+v3YFX2bJ+yOHOcms zb6yObXcNU2swBS033c/93aZ+v5Ldvi2uWfNn8Peb/1+WXt4T8x+3/3It7/ih1cu9B9rD29r O9PxjnZ8k5agztFhrJ/7u0ydXzX9nxX73yZ/C+w07cVTrywzz2sbSVXsDrLvXHcuOW7d1GPb bNX6zEcEUlvSaZNepNVX6V3l3Xp61Vvt6LhoVI9T8ifUQ7PjUteUeg+S/ifYiPTwl2cuLyUt baT2NxX4kdp/eO6/Gr9+zKzccH7HxRp319twp12zEVz5cup9hDbhKcpv/wDO3aq7be1UcerE n+jtzEP2ZxWyegys7V4a6D+HtMnb81+nxT8x+3/3It7/AIodXLvQfaw9vazvT8Y52fJmaj59 z4n2mTf5Vo14Z2l+6l7e0ydfyX78PoeW/IfxPsR6nR8WHt5Tan7e58LLOz41HTmMUwNQAAAA M3U/Pn1mTs+VaNOERBJd0Hln1o0dKrsWi5UAAAAAAANJqjVV0nMOopaWxL9NOrAhevWpTeop aCH6ZNdeJG9MS+xw9Bc3ST66oj9Nd+yOHor/AAT9pH6q774LSajMvDv4oTq2PfGpdsXbSedK v7c0a+6ps20s5Z5tK2Fcg5uCknJYtcDd7pnDLiuM9ubyKbq3VYb1uTpQjmXxl3FhFWpucYyq 1hKm7NtExcnmPF6UlKUZ5su3hWlK+4eKeWLG7CWx7q41WHHE8+bStdjpNNVWKZIbVmCUIv8A pWHCuLN+s8Mm1SE0QDh2YuLTbxeZPen0ELq77nisQyyUm5Z/M3tfuE0h7nsLKjLM5OUqUTlu QmuC7PIWFGbnnk29qbwYmmLl27eGbr7cFqJKmEqNp9Jk7tZ7l/XfChZSV+8kqLw4LqM2k/tV 23EdytXLuptRjHNSrp7CV1t2kjmZJXer0moUIS9NpqaoyXb17YnhzTeJL2mnFL1beG6qTJbd dnMR13/CtpPlP4mVdXCzflZ5ZjzSTf6YUXtLf1//APp/pX2/BfnZUOYWbilJuaalV7Ulgabr jeVTNs62IOaaeFYSq6SbbjubwK/2NIn07MbXfOXwowd3LV18KxUsWNHDPOSbaVMaFnVM1De4 XPSjkyNtrc3tVDR7fGFWRWo0lmbk5Kjb4D2mSNpReZtydKKu5Ca4LXMrF1u5KCcnkdXwxI3S +cfh33TwsWNHqFYhS26ZU/eW6dW2J4V7bzJZsai5BSVt8H1oa6bWcG20ldS0uoinJwaSxbJX r2no574iIJAFnQLNfpsrFot6Z/ZDs4aTsxe2rwx6cKGr2xn9x6SwxdU81cMXsO+0yg1emTtJ xbrCUZJ9Cewq7NPCem3lLPT2p1clm3pOjo3t7Cy6S8ozaxDoLMfpY7ca9rK+nWe1Ps28oOZ2 UpW5Y7GvcVfsaeYn1bLN1whpndi8WsPaqd5dtia5V6+bhi6p0sS6cDB2X+rXpy55fBu2kts5 YdhHpng7L5aGpsQs6u21VJZXXqZq30mu0U6bZ1rVNrMpc4lTRSW9/kZv2r/Rd0T+zJ0qpYh0 4+9mPrn9WnflMtqJxBNzi3nvxe+OVr3k/wBnXNR6LiICCT2MnFprcJSulJelJcXF+5P8zsvh zHlwcdAAGdq/uJezsMnZ8mjThCQSdwtXJ1yRrTadmtvDlsjr6a/+xkvr2/DnujiducKZ1Suw jdbOXZcuTjq1oPmS6u8u6eVfZwumhSAZ+t+e+pGXt+S/ThAVpreg80+pF3T6quxcNCoAAVNZ auTuJxjVUKO3W2+FulkiD6a/+xlf17fhP3R6tNfqvAxOvb8HujWlpr8YuUoNJbWbr17T0ZZv ERBJS033c/8Ad2mfr+S3b4trlnzZ/D3m/wDX5Ze3hZ5hGuml0NMt7p/VX13ycvknpor9rafv qOm/1d7OVhtJVexFqtncuWbUTn0P8WZejztav7eF+98mfwvsNO3FU68sM89rQ6ueWy+MsCvt uInpPLOMq91bhnuRjxZ3WZuHLcRqpJJJbFsNrOBxHqfkT6iHZ8alryj0HyX8T7ER6eEuzlzc +/s/FD/9RHb5x2fGt3mNrNZzrbDsZ6XfrmZYuq+WXJVi1xVDHWmIeT3fS1OOGyvVsfaV/q7Y 2S75mPpT12BnXvHzGKW5x/DFmTbz2L9fGizzCNdNLoaZb3T+qvrvk5fJPTRX7W0/fUdN/q72 cs3U4X7lf3PtMvZzV+nEZ2iWa9OXR2sy9XK/fh9Byz5EvifYj0+jhi7eU+p+3ufCyzs+NQ05 jFMDUAAAADN1Pz59Zk7PlWjXhEQSXdB5J9Zo6eFPYtFysAAAAAAAAAAAAD2PmXWIVra23B2J ycU5JYSpibe2T22s3Xbl1m/7OyVMtK5XSteNDuf7OY8IoRlS1bytO3JuTphTHf01IyXxPwlb zUtuX89zCVGkk3FpYVrjQlL/AGqNnhw6y+oSTWdeFuLS8tN6I85S/DDhWU7bytZItSqqYumB 585jXUxYg3LXyofCuw9DXhkvLok4AAAACtO/OOof8c5QSossa47ym72bcVZNfHKpzR5bqlRv wp0W3aUfseLlZ08My3ckr1yTtzpOlPDwMk2824rRZ4X9JGfrK5BZpQxceKeDNPXLnM9FO98Y q9Nz1EoRVuUIRlmk5qmzcjRc7Y8eFMxqi5vPJatvLKXi2RVdxH9m4kS6ZmsjTTlFZHCSbbdW sDD13HjDVvFrR57evV2MXOMotSUcWXdWZvlVv51w04Kd3UK7KDhCCaipYNt9BrmdtsqL4mEP NH8tUe913EP2Lwl0sHWv+fqSPM7eW3r4VytNb0C8U30Iu6VXYuGhUAALeggpyuQf6oNe8u6Z nM/hX2XGFm3evW7StO1J3IqkWlWL4Yls2smMeVd1lucpdNadqzGL822XWyzr1xMI73Ne6n7e 58L7B2fGmvLFMDUAWuX/AHK6mW9HyV9vDUNrOAGqqjODi9d9NLwSnX9qqR22w7rMoNFOUbcb Urc4tV8TVFtqV9VxMYqfZPOUuqsetacf1LGL6SfZp7ojptisfW6u/p7ULFyFVWqrhs6TD29l 1mK1aaTa5ihKV7UtJRpD8PeZrbuukmrU5baSvW4rZBV9xs6NfMjP23w0Nbpnetpx88dnT0Gr t090Ude2Krw116zFQu26tYJvB9hVO66+LFl65fMQ6hajVwlKUctuMXjupQr3928/hLXGqukk klsWwrWIr129CcfThmT24N9hXvtZfCWsl5Xrv1V24rkrTqqYKLpgadvdbnCme2TGWdG7qvWy Tt0SbTdGthlm22cWL7JhYLVaWVlq1G6vJLB9DJXXxlybecIiLoAAz9Yv530pGXt+S/ThAVpr nL3511F/T6quxbL1Snr9sPaZ+70W9aoUrVrQfMl1d5d08q+zhdNCkAztW/8AsS9nYZe35L9O EJWmuaBYTfUX9Pqq7FsvVAAAAA9j5l1iFa+s+2udRu7fjWXTl89cv6mNxqNusVsdGeXtvtnh umswgh9RC47iturrWqdMSue6XOE7izDW5JdvTv3PUhlSjhg1v6Tb+ptbblm75JPDXnFTi4y2 SVGbrMxllwzo/UaOcvDmtvfu/wBDLPd13+Gi43e3Nbevxdu3bpXB0xY27bt4kcnXJ5q1o9P6 Nuj88sZfkXdWntivfbNd6ltWLjW3KyW/xrmvLFMDUp6+WMI+0z91W9cVClas6GNbrf7UW9M8 q+y+F40qQCPU/In1EOz41LXlVs3L0LS9OGZNuuDfDgU6bWTws2kt8i+onqLdx23mTjRKLpgx /a7S4PEmG9G9q7r9OdqkJJpvLJbuk9KbbXxYx+3WeZVAzLlK9au2rvq2lVPFoz7a2XMW62WY rYt80uTsxy2/G1trXHqob9f2LZwzXpkvKbRaa4pu9d8z2J7cdrJ9XXc5qHZvOItzipxcZbJK jL7MxVLhnR+o0c5eHNbe/d/oZZ7uu/w0XG7L1uqu3r1yFuFMzxpjtMfb2Xa2SNGmkk8u9NZ9 KFH5niyXXpiObbZrW5c2rFymLTql7Db0cVl7eXFzUa6cJQdnCSo6RkRu+9mMJTXWeqk002mq NbUzOteAAAADM1Dren1sx781o14RkUl/Qr+Jvi+409PCns5WC1WAAAAAAAAAAAAB7HzLrEK1 dZN+nK1G3OTksGlVGztvjGGbSecrBcgAAPJ+V9TOXgjCPObADctfKh8K7D0NeGS8uiTgAAAA AGfzSPity4pr3GX9icL+lRM61b5a6ahrjFl3Rf7K+3hpmxnU+Z/Lh19xn/Y4i3q5ZplXrXL/ ALldTLej5K+3hqG1nUeaeW31vuM37Hou6Xz2rdb8uii/A8vs+TbpwhIJrugXgk+Lp7jR0zwp 7FouVgAC7yz50/h7y/8AX5VdvDRNagAj1P29z4X2EOz41LXlimBqALXL/uV1Mt6Pkr7eGobW cAAAAADN5nKt6MeEe1mTvvlf1cKZQtXeWL+WT4R7WX/rzyq7eGia1ABHqft7nwvsIdnxqWvL FMDU9W1CDdPSY2Pq1TU3F019+Jg7J/atWnCEgksp10El+2a/FFs+H+0P/SsVJgAClr1/JF8V 2Gfunld18KpSsWtA/wCSS4ou6eVfZwumhSp6/bD2mfu9FvWqFK1a0HzJdXeXdPKvs4XTQpAM zUOt+b6ewx781o14RkUl/QqlpvizT0zwp7OVgtVgAAAA9j5l1iFa+s+2udRu7fjWXTljmFqA LvLPmz+HvL/1+VXbw0TWoAAADjUfIufDLsIb/Gu68xiGBrZ+sdb76EkZe2/2X6cICtNc0C87 6kX9Pqq7FsvVAEep+RPqIdnxqWvLjRfI9rI9XDvZytWvmw+JdpdryrvDbPRZGJdVLs1wk1+J 523Na9eHBx1raCVdNHobX4m3pv8AVm7OVgtQAAGVzCNNS3xSfcYu6f2aerhWKk2hyt4XF1M0 /r3lT3LxpUsbU/cXPiZg7PlWrTiIiCQAAAZVx1nJ8WzFeWmOTjrR0apYj01Zq6p/VRvymLEA AAAAAAAAAAAAPY+ZdYhW6ekxgAAB5PyvqZy8EYR5zYAblr5UPhXYehrwyXl0ScAAAAAAq8yh WwpftfbgUd88LOq+WWZGhNpJ5NRB7q0ftwJ9dxtEd5mNg3sqnzP5cOvuM/7HEW9XLNMq9a5f 9yuplvR8lfbw1DazqPNPLb9vcZv2PRd0vmrks05S4ts8na5rfI5OOtHSRy2I9OJq65/VRvfK YsQAAF3lnzp/D3l/6/Krt4aJrUAEep+3ufC+wh2fGpa8sUwNQBa5f9yuplvR8lfbw1DazgAA AAAZXMHXUy6Euwxd3yaevhWKk1/laxuPq7zR+v6qe70XzUpAI9T9vc+F9hDs+NS15Ypganq2 oQbp6TGydeqaqfTTsMXd8mnr4VypNPb+1vLg4ss1+NRvyiArSAAFbXxrCMuDp7ynunhZ11RM 65NpJZb8enAn13FQ3nhomtQ91uhtyhZnmdZRq9nQO3plkpp2Xyq/QW/3P8Cn6Ys+yrfLuXWn dl4peXo4l/R0TKvt7bhof4yz++X4Gn/nij7a8ly2yk25yosXsF6IfbWNLQ23JvNLF13GC9Ua /srmeitxhJ5ngm9xG9Uw7OyptNHLYguivvLOuYiG18pCaIAAAAPY+ZdYhWvrPtrnUbu341l0 5Y5hagC7yz5s/h7y/wDX5VdvDRNagAAAI9T9vc+F9hDs+NS05jFMDUzdS6359Zk35rRrwiIJ L2gX8cn09xo6eFPZyslysAj1PyJ9RDs+NS15c6NfwLrZzq+Lu/Kza+bD4l2luvKu8Ns9FkY2 qVNRc+JmDs+VatOERBJp8sf8Mlwl3I19HCjt5Wy9UAAKHNIYwn1pmX9icVd01QM65b5bOl9x /cuzEu6L/ZX2zw0zYzqtzl9qc5TcpJydXsKdumW5WTtsc/4yz++X4Ef+eO/bT/GWf3y/Af8A PD7af4yz++X4D/nh9tc3eX2YWpSzywTe45t0yTLs7baxvoLf7pfgYPpjV9lPoLf7pfgPph9l bNrlVqNqMc0qpKuw36/ryRlvdcuv8ZZ/fL8Dv/PHPtp/jLP75fgP+eH20/xln98vwH/PD7ar 6zSwsKLi281dvQVdvXNU9N8qpUsAAAAAAAAPY+ZdYhW6ekxgAAB5PyvqZy8EYR5zYAblr5UP hXYehrwyXl0ScAAAAAA4vW/UtShxWHWR2mZh3W4rFao6Paee1gGzp7qu2oz3tY9Zv02zMsm0 xVfmfy4dfcVfscRZ1cs0yr1rl/3K6mW9HyV9vDUNrOzOfXMliHGVUvbQx/ubY1aP15mvnTy2 57GLlJRW1uh2TLla0UoxSWxKhskZw64AALvLPnT+HvL/ANflV28NE1qACPU/b3PhfYQ7PjUt eWKYGoAtcv8AuV1Mt6Pkr7eGobWcAAAAADJ133U/Z2GHt+VaevhXK02hyvy3Otd5p/X9VPcv GlSAR6n7e58L7CHZ8alryxTA1PVtQg3T0mNlcw+5fUjF3fJp6uFYqTT2ft766I9pZr8ajtzE BWkAAOL8M9qUd9MOtEd5mJa3FZZjaHqbTTW1YoONS3NTgpLejbrczLPZhb1LrY0/wsu7OIr0 5qsVJrvLPmz+HvL/ANflV28NE1qFbX3clhx/VPBdW8p7tsarOuZrKMbQZHNOK3p9gxnwZwJU VA6BwAAAAHsfMusQrX1n21zqN3b8ay6cscwtQBd5Z82fw95f+vyq7eGia1AAAARat/8AWudR X2/GpacsYwtTMv8Azp/EzHvzWjXhGRSX9D8l/F3Gnp4U9nKwWqwCPU/In1EOz41LXl5pPt4e 3tHX8Xd+Vi182HxLtLNeVd4bZ6LIx9Z9zc6zB2/KtWnCEgk0eV/Ln1rsNX6/FUdvK6aFQAAg 11vPp5U2x8S9hV2651T67isgxNLu3NwuRmtsXU7rcXLlmY2oyUoqSxTVUehLlksenQAAAKfM ruW0ra2zxfUjP37eMLeqecs0yr02lt+pfhHdWr6kT69c7I73EbBvZQAAAo808tvrfcZv2PRd 0s8zLgAAAAAAAD2PmXWIVunpMYAAAeT8r6mcvBGEec2AG5a+VD4V2Hoa8Ml5dEnAAAAAAAGX r7Pp3sy8s8fbvMXdpitHXtmKpUsWdHqvRlSXy5beh8S3q7Pbf4Q30yscylGVm3KLqm8Guos7 7mRDqnlnGZctcv8AuV1Mt6Pkr7eGnO5C3Fym6JGu2TlRJl89znUO/KD2RVVFHmftb+7Db0a4 ZhkaFrRWqzdx7I4LrLurXzlX2X0XTQpAAAC7yz50/h7y/wDX5VdvDRNagAj1P29z4X2EOz41 LXlimBqALXL/ALldTLej5K+3hqG1nAAAAAAyNb91c9nYYe35Vq6+EBWk0OV+W51o0/r+qnuX jSpAI9T9vc+F9hDs+NS15Ypganq2oQbp6TGy+YfcvqRi7/k09XCqVJrOlVbOo+DsLeviob8x WKkwAAAztVa9O66eWWKMnZrir9LmISCaxpdR6byy8j38GW9e+EN9cta9JS02nadVSWPtNu1/ rGXXmoCtNd5Z82fw95f+vyq7eF+5dhbjmm6I07bScqZLWRqL8r1zM8FsiuCMW+/urTrriIiC S5o7P8V269ii1H3Yl/Vp4tV77eZFMoWAAAAAAex8y6xCtfWfbXOo3dvxrLpyxzC1AF3lnzZ/ D3l/6/Krt4aJrUAAABBrnTSz9nairt+NT6/kyDE0su986fxPtMe3NadeHBF1f0PyX8TNPTwp 7OVgtVgEep+RPqIdnxqWvL3TqlmHUNOIbcprXzYfEu0s15QvDbPRZGRrPubnX3GDt+VatOEB BJo8r8lzrRq/X4qjuXTQqAAB44HBjamy7V6UN22PUYd9fbcNWu2YiIJLuh1ah/Fcfh/TLgX9 XZjxVXZpnzGialAdADi9ft2YZpvqW9kNt5rPLuutrIvXZXbjnLa9i4IxbbZuWrWYiMi60uW2 csHde2WEeo1dGnjKjt29Fw0KgAAAo808tvrfcZv2PRd0s8zLgAAAAAAAD2PmXWIVunpMb//Z YCEb8OhKAADo0LDc4Xf1L5w6zhYUw9fu8hIAAAAAAAAAAAAAPgIAAGQBAADIO28A8PxEADQF AAAA/njanVhRSBxXFD13djeuNk0T0pqiUrQWiy0tO1md2CpBLUEaqpimUAxCa0glhWJAtwTb jy40LE3JT/0I5qNKQklTE4ulPxKWCsV86IeN+YgfUkjxy1JaQzGBJmV735t5zzeujo+unN33 zsy999w7e3adJZQCsWF+SqIK4pFgPOGo1W7nFB12xCpOTwbcq/RssHKIglWpjiCnUCggxqvn UMHPdbuewkvoPN7xNpJvvBnnI0mIqO1eSxjl8T5qdmLMid1jzp3NZoUGxisktAL/sCqC//B5 wh5+fSGWQAs8aodLt8mlefJI7MsCLWV4p6u7u1XGiezPxO/hkHMOv286o01nfpEKBb+fsDZV 1dcY1uLI1zWtdZfUKiajelBaTY1K8//Tanbfgkq0oxwio9irY2Iv+NtULiuL/e4g157gKrV3 w7J3bHl9YlpJL1fuxQOcxH2GS2KvIsQsVEQ8mNZG5FE+8yhH9kqI9UbkzMzMlrX8Ot0MFVka dJYMOjvSXdwr6emK3Khu1bkTRaoGWMUA7iKDRYZLA4YqtJoT8CMTmyZxFwMSXmgSSL0fWdOv d5KhMtj05YT6qqioiFCXZTVZXEUOlxkuZQ116XR6x4lcRVbCC02krq4usqZfL8NQGWz6ioX6 Shvvu2J1I6xmBGsYxR8Ml0YMdf3G+2+7iaxhRMILTaTTeP9tVdOvl2OoDDZ98ScnaBs/bVY3 w2pmcA+3sMxwSey3c9IkH5vkc2ckxHonJ6nMPzJUpJ2TzA6inbTIKhaRxxKmGS4tWjvJ7z2P RQlP9g== <number><number><number> <number><number><number> <number><number><number> <number><number><number> Python for Scientific Computing Python has seen wide adoption in the scientific community for data analysis, simulation, prototyping, and visualization. It provides a simple, yet powerful means to build applications. This seminar introduces python and its use in scientific computing. Flipped course format: We’ll work through interactive notebooks outside of class Class time will be used for exercises that we discuss together Use slack for out-of-class communication (and learn how to integrate github + python + slack) Grading is based on participation Sharing examples and discussion Advanced undergrads welcomed Topics include: Python Version control with git/github Jupyter notebooks /workflow management The NumPy array package The SciPy tools and basics of numerical methods Matplotlib and Plot.ly for visualization SymPy for symbolic mathematics Pandas and the dataframe Building applications Interfacing with Fortran/C/C++ Details: PHY 546, Spring 2017 Mondays, 3:00-3:53pm a weekly graduate seminar on techniques for scientific programminginstructor: Michael Zingale (michael.zingale@stonybrook.edu) iVBORw0KGgoAAAANSUhEUgAAASwAAAEsCAYAAAB5fY51AAAemklEQVR4Xu3d4WIbyQ0DYOf9 HzpNW/t6l8bSN1osNSuhf0uDAEjCIyVNf/z89Z+P/qcO1IE6cAEHfjSwLjClUqwDdeA/DjSw ugh1oA5cxoEG1mVGVaJ1oA40sLoDdaAOXMaBBtZlRlWidaAONLC6A3WgDlzGgQbWZUZVonWg DjSwugN1oA5cxoEG1mVGVaJ1oA40sLoDdaAOXMaBBtZlRlWidaAONLC6A3WgDlzGgQbWZUZV onWgDjSwugN1oA5cxoEG1mVGVaJ1oA40sLoDdaAOXMaBBtZlRlWidaAONLC6A3WgDlzGgWhg /fjx4zLC00RT/9L0pIe7cRY+7+xPemcn8GSmKzwaWCtu3ahNDeadD1I8fGd/Qqs6CiMzXSHU wFpxq4H1RwdSISLLneolYxc+gjPJWfhM1qQ8/OLcwApNLzWYyeXejbPweWd/Qqs6CiMzXSHU wFpxqy+svrAe2JfJkH2A3qk/0sA61d7HwVODmVzu3TgLn3f25/HtfN5PykxX2PWFteJWX1h9 YT2wL5Mh+wC9U3+kgXWqvY+DpwYzudy7cRY+7+zP49v5vJ+Uma6w6wtrxa2+sPrCemBfJkP2 AXqn/sjlAyst4FS3P8Fl4URXCkc0Sy/BSelK9RIc0Z7SNYkj2idrUj6vcB5/YcmAVwRM1KYG k8IRzdJLcGRek72Es/BJ6ZrEEe2TNSmfVzg3sMCt1GBSOED5Q3oJTuogU70ER7SndE3iiPbJ mpTPK5wbWOBWajApHKDcwLpj0mTQTM5ddiNV8wxdDSyYXmowKRyg3MBqYMmaHKqZ3Ocvog0s GFlqMCkcoNzAamDJmhyqmdznBtbCqFKDSeEIdeklOKmPTqlegiPaU7omcUT7ZE3K5xXOfWGB W6nBpHCAcl9YfWHJmhyqmdznvrAWRpUaTApHqEsvwUm9IFK9BEe0p3RN4oj2yZqUzyuct3xh iRErIm/VTi6c6ErxEX+kl+CILsGZrBHtoms3nJSHk7pWODewfv6869erLq4s5V1zfhWIP4Iz WSPaRdduOCkPJ3WtcG5gNbBW9uWPtXLYh5uEASYPUvxJ8UnZlOIjOCucG1gNrJV9aWD95oAc ZAPr8Ir9BdDAamAd3iY5yMNNwgC7BU2KT8qmFB/BWeHcwGpgrexLX1h9Yf3vtQP/t34NrMPn 9U8AMVReELvhiE3CWXDEH8GZrBHtoms3nJSHk7pWOPeF1RfWyr70hdUXVl9Yv1+B/GY7fGWf AJO/SURXio/4I70ER3QJzmSNaBddu+GkPJzUtcK5L6zBF9bKYG7VyiFJL1lKwUnxkV7C+Yp8 3lmXzP2rpoHVwFrZl6d/JHznw37VIF5ZwAZWA2tlXxpY/Q6r32G9y3dYh5PhEyD1m1ZeK8I5 xUd6Cecr8nlnXTL3fiR8wpfuK4Ppd1h/duCdD/tVg3jlLvqRsB8JV/alHwn7kbAfCfuRcC0z Ur9p5bUizFJ8pJdwviKfd9Ylc+9Hwn4k/JAjkWW6YkCILqkRD8WfFI5wlpoUH8ERPg2sBlYD a+VSvqmVg2xgBYz++gOnX4bf/xfssF8Hc9uolD8yjlSvSRzRJTXBlZZ2d2te1cOUrrsG/q2g X7pDXqcGk8KRAad6TeKILqlpYIlLt2vEw9RurLBtYDWwbu5LaikFZ2Vxb9XKsaV6CY5oF86C I3ykJsVHcIRPv8N6wndYsnCpAad6TeKsLG4DK+XWn3FkD1O7saKkL6y+sPrCWrmYB2pThy04 D9D74480sMIvmisORhZOFkW0p3pN4oguqUl5KL2k5lU9TOkSD/uRMBygciSTA071msRZWdx+ JEy51Y+EN51MHXZqXCk+kziifTJoUtpFl9QIH8FJ1UzOIsVZPEzpWuHc77D6HVa/w1q5mAdq U4ctOA/Q63dYV3quy4BlUXb9jXRL36Qu8VlqxGfBSWnfrZfwSdVMerj1d1gpQ1M4qcGkcK6o K8W5gZVy8jjOM/Z5y4+Ex63MIqQGk8JJqUvxEZwU5wZWysnjODL31Lz6wlqYV2owKZwF6v1+ 6hsHJmcx2Su1G4LzDF19YcFkUoNJ4QBlKknxERwiBEWp39jC+Yq9wMJYyaSHfWEtjC01mBTO AvW+sPrCSq3L/+E8Y5/7woJxpgaTwgHKVJLiIzhECIqu+OoRf1K6wMJYyTN0NbBgfKnBpHCA MpWk+AgOEYKi1GEL5yv2AgtjJZMe9iPhwthSg0nhLFDvR8J+JEyty3t+JDzNvScDy2/jVGAV 5/awr+jPk9f3tPZyFyvNxz8SrpC7Uq0M5oqHVF23tzDlz5V2fYWr+LOC18BacetGrQymgfV6 L6PU3ENruB2M+LNCuoG14lYD648ONIiPB3FoDbeDaWBtN5L/EpLB9LCPH/ar+rzpWh+mJfNa adIX1opbfWH1hfWbA3KQ8osqtIbbwYg/K6QbWCtuNbAaWA2spYtpYC3ZNVcsg5HftMW5PbNX 9WduU2c7ybxWGPWFteJWX1h9YfWFtXQxWwfWkpI3LJYXltgiSyC9BEf4pHoJjvBJ1aT8SfEp zsdH9IVVQ287kDpIOSTpJTgy01QvwRE+qZqUPyk+xWlgje5A6iDlkKSX4IhBqV6CI3xSNSl/ UnyK08Aa3YHUQcohSS/BEYNSvQRH+KRqUv6k+BSngTW6A6mDlEOSXoIjBqV6CY7wSdWk/Enx KU4Da3QHUgcphyS9BEcMSvUSHOGTqkn5k+JTnAbW6A6kDlIOSXoJjhiU6iU4widVk/Inxac4 DazRHUgdpByS9BIcMSjVS3CET6om5U+KT3EaWKM7kDpIOSTpJThiUKqX4AifVE3KnxSf4oQD K7VwsijSS3BkCaSX4Agf6SU4wkd6CU6Kj/SarBF/RLvgpHRN8pFeKV1fONG/OJoajBghvQRH DJVegiN8pJfgCB/pJTgpPtJrskb8Ee2Ck9I1yUd6pXQ1sBacTC2cDFh6CY7Ik16Ck+IjvSZr xB/RLjgpXZN8pFdKVwNrwcnUwsmApZfgiDzpJTgpPtJrskb8Ee2Ck9I1yUd6pXQ1sBacTC2c DFh6CY7Ik16Ck+IjvSZrxB/RLjgpXZN8pFdKVwNrwcnUwsmApZfgiDzpJTgpPtJrskb8Ee2C k9I1yUd6pXQ1sBacTC2cDFh6CY7Ik16Ck+IjvSZrxB/RLjgpXZN8pFdKVwNrwcnUwsmApZfg iDzpJTgpPtJrskb8Ee2Ck9I1yUd6pXQ1sBacTC2cDFh6CY7Ik16Ck+IjvSZrxB/RLjgpXZN8 pFdK19aBlRZ5Cy9l+m5LKR4K55Q/KT6CIzWiK+VPCkd0vWqvBtanA7K4qUURHKmZ5JzqJbrk 2ARHakSX8JnEEV0pzrv1amA1sD4mlzt1AIIjNZNBM+nzq/ZqYDWwGlh3ki11/CkcCeJX7dXA amA1sBpYkoHf1kyGYwOrgdXAamA1sA458IQflu8yhJb8thEcqZnknOolunbzUPiIPymclIfC ebdefWH1hdUXVl9Ykkv9SHjIpfAPT/62SVGf5JzqJdrlJSI4UiO6hM8kjuhKcd6t1ykvrJRI wZGa1DKlegmO1EwupfBJ1YiuVK8UjuyY9Hpn7eJPA+vTgdSipBZXhiecJ/kIZ6kRXYIzWZPy +Z21r8wr+k8kS+PJwcgypfhIL/FHaoTzJB/hLDWiS3Ama1I+v7P2lXk1sH78WPHr29rU4goZ We5JPsJZakSX4EzWpHx+Z+0r82pgNbBW9uXU2nc+2nfWvrJUDawG1sq+nFr7zkf7ztpXlqqB 1cBa2ZdTa9/5aN9Z+8pSNbAaWCv7cmrtOx/tO2tfWaoGVgNrZV9OrX3no31n7StLFQ0sMV3+ VGUSR8y6Iucr6hKfRVdqf1K9BEdqxB/RLr2kRvgIzkpNAwvcksHIoqRwgDKVpPhM4oiw1CxS vQRHalI+Sy+pET6Cs1LTwAK3ZDCpIxEcoEwlu+kSPiJMPJzsJZylRjiLduklNcJHcFZqGljg lgxGFiWFA5SpJMVnEkeEpWaR6iU4UpPyWXpJjfARnJWaBha4JYNJHYngAGUq2U2X8BFh4uFk L+EsNcJZtEsvqRE+grNS08ACt2QwsigpHKBMJSk+kzgiLDWLVC/BkZqUz9JLaoSP4KzUNLDA LRlM6kgEByhTyW66hI8IEw8newlnqRHOol16SY3wEZyVmgYWuCWDkUVJ4QBlKknxmcQRYalZ pHoJjtSkfJZeUiN8BGelpoEFbslgUkciOECZSnbTJXxEmHg42Us4S41wFu3SS2qEj+Cs1GwZ WCJABpMyVHoJ50k+0uuKulI+T2qXXjIv0Z7qJTjCJ6Xrq1cDC1zfbXjCRxZFcMCeD+klOJN8 dus16aH0mvRHdqOBteDSbsMTPldcStElY9tNu+gSzqI91UtwhE9KVwNL3P6s2W14wkcWRXDE JuklOJN8dus16aH0mvRHdqOBteDSbsMTPldcStElY9tNu+gSzqI91UtwhE9KVwNL3O4Li1xK LeXkkezWa9JD6TXpDy3Z1y3+Iv9z5Qdu1YrIVLvdeomHu2kXD3fTleIzqV16dTdksh8f/VNC 8EkWDmBG/zRNDuCKulI+T2qXXjIv0Z7qJTjCJ6WrHwnF7X4kJJdSSzl5JLv1mvRQek36Q0t2 xkdCaZwyQnrJYARHakRXik+q1244kz5fUbv4IzUp7dIrXRP9SCjkxCzBkZpUQEgv0ZXik+q1 G86kz1fULv5ITUq79ErXNLBCjk4uQarXbjgyit04p/iI9lTNFTmf8h2WGCpmCY7UpF400kt0 pfikeu2GM+nzFbWLP1KT0i690jV9YYUcnVyCVK/dcGQUu3FO8RHtqZorcu4LKzX9T5zJJUj1 2g1HRrIb5xQf0Z6quSLnBlZq+g2sj8kDSPXaDSe8jjfhUtonOTewwm5PLkGq1244MpLdOKf4 iPZUzRU5N7BS0+8Lqy+sO7uU+sOW1Mo2sBacTJk1iSPyupTi0u2ayZnKvISPqH7VXintgrP1 Cys14BSOGCq9BCdVI8f2qpxT2gVH5iU+X7FXSrvgNLAWPsqJobKUgpOqkQN4Vc4p7YIj8xKf r9grpV1wGlgNrNi/HrGycLdq5WhTx5/CEe2v2iulXXAaWA2sBtadS5EAlWNrYIlLVrPl33RP DTiFI1ZKL8FJ1cixvSrnlHbBkXmJz1fsldIuOH1h9YXVF1ZfWCtZ8VCthPUKcF9YP36s+PVt bXowR0nJb+xX5ZzSLjgyJ/H5ir1S2gWnL6y+sPrC6gtrJSseqpWwXgEef2GtkLtVm/qNJHzE 9BSfVC/BEe2iS3oJjvCRGuEjOK/KWfwR7YIjPq/UNLDALRmMDBha0atHegln4ZPqJTjCR2om tQsfqZnkLL1kXoIj2ldqGljglgxGBgytGlhi0p0amZe0Sc1Uek1yll6iXXBE+0pNAwvcksHI gKFVA0tMamB964DsYWqfBScwzn9ANLDAURmMLAq0amCJSQ2sBlZgT0YhUgEhpBtYt12a9Cc1 L8HZbcdSnFPzEhzhvFLTFxa4JYNJLXeql+CA9Ni/dZXyRzhPahc+UjPJWXrJvARHtK/UNLDA LRmMDBha9SOhmNSPhP1IGNiTUYhUQAjpBlY/EsqeHKmRHRN8uQvplcIRzis10ReWiFwhd7Q2 NZijPNI/L7rSPY/iyW6ILsERrrv1Es5SI/6ktAuOcF6paWCF/reEK6YfrX3GohzlPHlIwlU8 FM6pXoIjNcI5pV1whPNKTQOrgbWyLw/XTh6SkJRjE86pXoIjNcI5pV1whPNKTQOrgbWyLw/X Th6SkJRjE86pXoIjNcI5pV1whPNKTQOrgbWyLw/XTh6SkJRjE86pXoIjNcI5pV1whPNKTQOr gbWyLw/XTh6SkJRjE86pXoIjNcI5pV1whPNKTQOrgbWyLw/XTh6SkJRjE86pXoIjNcI5pV1w hPNKTQOrgbWyLw/XTh6SkJRjE86pXoIjNcI5pV1whPNKTQOrgbWyLw/XTh6SkJRjE86pXoIj NcI5pV1whPNKTTSwVhrfqr2i6cI55Y8sSoqP9ErpemfO4uHkLISPzCvNuYH186fM5m6NDO8u CBbIEqT4SC+kfbfsnTnfNedXweQshI/MK825gdXAurmb6YU7+rKWQ7oi5910CZ8G1qdLKSNS OKnhCY7UyEGK9lQvwZGad+Ys/sjcBSdVI/NKc+4Lqy+svrAOXLAc7QH4f/xo+viP8hLtac4N rAZWA+vA5crRHoBvYP1mXgOrgdXAOpAoDazb5vWF9emPGCHLJDiyz9JLcKRGOKf4SC/hLDXv zFn8mZyF8JF5pTn3hdUXVl9Ycp3f1MjRHoDvR8IzPxLK8NKJe3QZhLP0EF2pXik+giM1okv8 edVeV/RHOMu8UnP/6hV9YYnItAAx7VaNcJYeoivVK8VHcKRGdIk/r9rriv4IZ5lXau4NrE8H JgeT6vWMRTka+qnFFQ936/WqnJ+xh31hhf7Hz3IksriyBFIjfARHakRXis8Ve70qZ9mN1Nz7 wuoLS/aNaq54kCIspSuFsxtn4dPAEpcWamSZBE4Gk+qV4iM4UiO6xJ9X7XVFf4SzzCs1976w +sKSfaMaWe7U4l6x16tyluVIzb2B1cCSfaOaKx6kCEvpSuHsxln4NLDEpYUaWSaBk8GkeqX4 CI7UiC7x51V7XdEf4SzzSs39lBeWCJCalFnSK23orZ6iK8VHeqX8kV6iS3B24yx8RFfKH8FJ cRacFJ8G1qcDaUMbWH92QHyWw04difQSzsIn1SuFk+IsOCkPG1gNLNk3+md5U4ckOEJajkR6 CY7wSfVK4aQ4C07KwwZWA0v2rYFFLt0uSgVNCkckSS/BaWCJSws1aUP7kbAfCX93QI5f9jCF I+chvQRHdAlOX1h9YdGeyMLJcqdwhHSql+AIn0l/JjmL9hSfBlYDS/atHwnJpX4k/M6BBlZg gf4OkTa0Hwn7kbAfCf/nQPq+ov9aQypL5Amd6pU2tIHVwGpgXSSwJGhSAZHqJTipcEzhTHo4 yVlmkdIuuoSP4EzWiD+iS3AmdZ3yHdakEalegvOMwdzqmVqmSe3CWfgITmpewifVK4Uj/ogu wUlxXsGJfiScNCLVS3BWDJ2oTS3TpHbhLHwEJzUD4ZPqlcIRf0SX4KQ4r+A0sEL/4uiK6Udr U8ski3uU69fPC2fhIzgpzsIn1SuFI/6ILsFJcV7BaWA1sFb25eFaOYDdDkn4PGzIST94RZ9X rGhgNbBW9uXh2iseUgPr4XGf9oMNrAbWacv1d+AG1ojNo3/Rd0bRP7s0sBpYI3vXwBqxuYG1 YrM8oWVxpWeql+AIn8maSQ9TuoSzzEJwUpyFT6pXCkf8EV2Ck+K8ghN9Ya00fsfa1KKkcGQG 0ktw5AAmewln4SO6pJfUpPgIjvCRmrQ/DSxxPVQjiyIDTuGILOklOCldqV6CI9pFl/SSmhQf wRE+UpP2p4ElrodqZFFkwCkckSW9BCelK9VLcES76JJeUpPiIzjCR2rS/jSwxPVQjSyKDDiF I7Kkl+CkdKV6CY5oF13SS2pSfARH+EhN2p8GlrgeqpFFkQGncESW9BKclK5UL8ER7aJLeklN io/gCB+pSfvTwBLXQzWyKDLgFI7Ikl6Ck9KV6iU4ol10SS+pSfERHOEjNWl/GljieqhGFkUG nMIRWdJLcFK6Ur0ER7SLLuklNSk+giN8pCbtTwNLXA/VyKLIgFM4Ikt6CU5KV6qX4Ih20SW9 pCbFR3CEj9Sk/WlgieuhGlkUGXAKR2RJL8FJ6Ur1EhzRLrqkl9Sk+AiO8JGatD/RwJo0Qsya rJHBiD+74YiHwllwUv5IL6lJ8dkNZ1K79FqpaWCtuHWjVo52t8UVPmKPaBcc4ZPqNcknpSuF M6ldeq3UNLBW3Gpg/dGBVIhMHqSMPcVnN5xJ7dJrpaaBteJWA6uB9ZsDEtYNrNCR/YJpYIW8 vOLiyiGJPaJdcIRPqtckn5SuFM6kdum1UtPAWnGrL6y+sPrC+suByV8eX00bWA2sww6kFnfy BSGiU3x2w5nULr1WahpYK271hdUXVl9YfWGFMuOpMPLK2O03rfARU0W74AifVK9JPildKZxJ 7dJrpWb8hTW5cCtG3Kq94qII55Q/giNzF85XxBF/pGY3f4RzuqaBBY6mFgVafaR6CY7wSdVc MWjEQ9GV8jDFJ4WT0rWC08ACtyYHnOolOCA9ViKHLZyviJMycTd/UrpWcBpY4FZqUaBVX1h3 TGpg3TZo0h/Z53RNAwscbWCBSS8YNJNzF4dTfFI4wjld08ACRycHnOolOCA9VjL5m1+0T/JJ mfiqulb8aWCBW6lFgVb9SPiCLzWZu9Sk9jCFI5zTNQ0scHRywKleggPSYyWTLxrRPsknZeKr 6lrxp4EFbqUWBVr1hdUX1rcOpPYwhSP7nK7ZMrDE0JQRV/xNK9qv6KHokhqZqeBMeih8pGY3 7Sk+X9obWD9/3t0DWdz0YO6SulMgnI/2+Pp50b4bH9E+yVn4SI3MQnBS2lN8GlifDoihMjzB kUVJ1QjnVC/Rvhsf0T7JWfhIjcxCcFLaU3waWA0s2VuqkaVMHYAQEj6CM8lZ+EjNbtpTfBpY DSzZf6qRpZw8fuEjwiY5Cx+p2U17ik8Dq4El+081spSTxy98RNgkZ+EjNbtpT/FpYDWwZP+p RpZy8viFjwib5Cx8pGY37Sk+DawGluw/1chSTh6/8BFhk5yFj9Tspj3Fp4HVwJL9pxpZysnj Fz4ibJKz8JGa3bSn+DSwnhBYqQNILUH5SAQcr0n5LExSuyG9nlHTvzg6+BdHU4ubWsrymTm5 lM/CNrUb0usZNQ2sBtbhvUsdSeqwU3wOG/MJkNIlfHbTLpxXahpYDayVffljbepIUoed4nPY mAZWysK/cBpYDazDS5UKiAbW4VF8pGZxnMk5CA2sBtbhzUodSQPr8CgaWCsWysLJcgvOCq9b tSk+KRzRJb0EJ+Xzq/IRD6Um5bP0Ss1Cej2jpi+svrAO713qSFKHneJz2Jh+h5WysN9hfTkg yy2HlMKRCUsvwRFdgvOqfES71KR8ll6pWUivZ9T0hTX4wkoNOHUAV1xu0S66dsOR3diNc4qP aP+qaWA1sFb25em1qSPZDUeM3Y1zio9ob2B9OjD523hlMLdqZVGkl2gXnMka0S66dsMRD3fj nOIj2htYDaxL/hF46kh2w5Gj3Y1zio9ob2A1sBpYdy5l8qUmR5sKiN1wRHsDq4HVwGpgfevA bmHdwGpgNbAaWA2se8+7VHLf66P/fYqP4Cine3XypL+H8e//fpKz8JEa0S66dsOpdnHg46N/ raF/rcE2ZZOq3YImxUfsTfXaDUe0b/2RcEXARO2VB3zLH9El/qZeNNJLaoSP4Ez6I3wma0R7 yucVXVu+sFYETNSmhpfCSWkWPtJLFjfVK8VHcFKcxR/hM1kj2p+hq4EFW5AaXgoHKFOJ8BEg WdxUrxQfwUlxFn+Ez2SNaH+GrgYWbEFqeCkcoEwlwkeAZHFTvVJ8BCfFWfwRPpM1ov0ZuhpY sAWp4aVwgDKVCB8BksVN9UrxEZwUZ/FH+EzWiPZn6GpgwRakhpfCAcpUInwESBY31SvFR3BS nMUf4TNZI9qfoauBBVuQGl4KByhTifARIFncVK8UH8FJcRZ/hM9kjWh/hq4GFmxBangpHKBM JcJHgGRxU71SfAQnxVn8ET6TNaL9GboaWLAFqeGlcIAylQgfAZLFTfVK8RGcFGfxR/hM1oj2 Z+gaD6xJ0yd7yfBkCSY5Sy/RJThSk/InxTnFR7RP1og/ol1w0roaWCFHZXiyBCE6MRjRlWqW 8ifFOcUn5U8KR/wR7YKT4vyF08AKOSrDkyUI0YnBiK5Us5Q/Kc4pPil/Ujjij2gXnBTnBlbY SRmeLEGY1mE40XW4ySdAyp8U5xSflD8pHPFHtAtOinMDK+ykDE+WIEzrMJzoOtykgZWykHBk prKrgkOEFor6kXDBrFulMjxZghCdGIzoSjVL+ZPinOKT8ieFI/6IdsFJce4LK+ykDE+WIEzr MJzoOtykL6yUhYQjM5VdFRwitFDUF9aCWX1hhcz6BkaORBikDinFRzhP1og/ol1w0roaWCFH ZXiyBCE6MRjRlWqW8ifFOcUn5U8KR/wR7YKT4nzKR8I0ueLVgTpQB/7uQPSFVWvrQB2oA2c6 0MA6091i14E6EHWggRW1s2B1oA6c6UAD60x3i10H6kDUgQZW1M6C1YE6cKYDDawz3S12HagD UQcaWFE7C1YH6sCZDjSwznS32HWgDkQdaGBF7SxYHagDZzrQwDrT3WLXgToQdaCBFbWzYHWg DpzpQAPrTHeLXQfqQNSBBlbUzoLVgTpwpgMNrDPdLXYdqANRBxpYUTsLVgfqwJkONLDOdLfY daAORB1oYEXtLFgdqANnOtDAOtPdYteBOhB1oIEVtbNgdaAOnOnAvwDM0gsw013ItgAAAABJ RU5ErkJggg== Flipped format this year—students need to bring laptops to class
X Tutup