{ "cells": [ { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Hi Doug\n", "welcome to notebook in VS Code\n" ] } ], "source": [ "msg = \"Hi Doug\"\n", "print(msg)\n", "msg = \"welcome to notebook in VS Code\"\n", "print(msg)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# My first notebook in VS Code !" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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phuXhHKhqhcNNCepq0NLlFFbdjbbCfrRQgKMQ+wIPj8smZMBsiP6DCgjNw2mlPByVYMvDr4ri6qkLsdVUlIejDrYeNw7XtgOIfoIxMyk7EdnJ/gT1g9XtovwOElvs739qbnJUV92NBgU4ClEeuOHMLUoV7XfMLkiB2aBDS5eTkv9UoKPHJTyoviZC/g1DeTjq8u/TLfDxwPjMBIxNjRfld3AcJxT9oy1i1GGPzKanAApwFIHneRwObE43u0C8AMds0AsBFE1TKd+hmnb4eGCciA8qwF/QS8cBZ5q7qVCkCog9PcUsom0bVIPneaGDc7lMpqcACnAUod7mQHOnEwYdhxl5VlF/18Lx/otzL23boHhsSw+WPC4Wa5wRFwUKRdI0lbLxPC8EHGJNTzGLJmaC44DjjZ1osjtE/V1EXKebu9Fgc8Bk0Akr5OSAAhwFYNNTU3OTR717+FBKAnk4+8+00S7RClceCHAuzhc3KAYoD0ctGmwO1Nsc0Os4zC+O/qq7UGkJJqHDRtObyrYnMM14aVGqKIsZRooCHAUoF6anUkT/XReNsSLRbICt1y1kxBPl4XleGMG5WOQRHCB8XypKUFeuz892AAAmZyeJ3pkCgPmB3j67xxFlYvvRXT5B2t3DL0QBjgKwEZxYBDgGvQ6XBvJwaF8q5apq6Ybd4YHJoMPknOhWve7PJYUpsBj9CeonKUFdsSrqbACAWTEY9QOAi/JTAPh3FyfKxPO88IwSq4TJSFGAI3NOjxdf1vtHUsTOpWAoD0f5jgR64jPykmEyiP9nbjbocXHgYVURGDkiysNGcFhOldguGuMPpI7V2+Hy+GLyO0l01dscaO12waDjMDU3WermhKEAR+aONXTC5fEhNd6IwnTxVsKEYnk4n1a1weOlm44SVQSG/GMxPcXMDDysvjhLvXEl8vl44bO7aGxsRnAK0+NhjTPC5fWhsrEzJr+TRNcXbFozJ0lW+TcABTiyF5yeSo3Z3h7TcpORYNKj2+XF6ebumPxOEl0VZ2M71QAAM1iAQ9MNilTV2o1Opwdmgw6TssWf1gT89XBYMPX5uY6Y/E4SXZ/HOCiOBAU4MickGAeG/2NBp+MwLc8/1PglPawUx+nx4liMpzWB4LTGVw12uGnkT3HY9NT0vGRR9p8aCBv5+7yO7jVKxDo0M8ekSNuQflCAI3PldcERnFhivfEv6+mmozTHGjrh8vqQlmBCflpczH5vYVo8kswGuDw+nDxPicZKc0RIME6J6e9lgTHLGyPKwfM8jeA8//zzKC4uhsViwZw5c/DJJ58MeOxdd90FjuP6fE2fPl04ZuPGjf0e43Coq1hUc6cTdW294DjgohhONQAQ6lMcPUdLxZWmIjCtOWusNWbTmoB/5E8IjGnkT3FYgDErRgnGDJtGPdnUhV4XbbypJHVtvbD1umHSx25aMxKiBzibNm3C6tWr8eijj6K8vByLFi3CkiVLUFtb2+/xv/vd79DQ0CB81dXVIS0tDbfddlvYccnJyWHHNTQ0wGKxiP12YoqtRpmYlYhkizGmv5s9qI7W26jgn8IcOStNTxwAZlI+hSK5vT58FZjWjHVPPCfZgoxEM7w+Hl81UGCsJOzvfGpuUkxWa0ZK9BY9/fTTWLlyJe6++25MnToV69evR35+Pl544YV+j7darcjJyRG+Dh48iPb2dnzve98LO47juLDjcnJyxH4rMVfBpqdimEfBjM9MgMWoQ7fLi6pWSjRWkgqhwF9KzH+3sJKKRv4UpbKxE06PD0kWA4rSE2L6uzmOw6xAUHWE8nAUha26mynD6SlA5ADH5XLh0KFDKC0tDft+aWkp9u7dO6xzbNiwAddeey0KCwvDvt/V1YXCwkKMHTsWS5cuRXl5edTaLRexrGB8IYNeJ9Q0oOkG5ejocaGqxR+QxnqqAQgGOMco0VhRQvModLrYTWsyLA+HVuApi3DdyDDBGBA5wGlpaYHX60V2dnbY97Ozs9HY2Djk6xsaGvCvf/0Ld999d9j3p0yZgo0bN+Ldd9/FW2+9BYvFgssuuwwnT57s9zxOpxN2uz3sS+68vmCp/VgnGDMsD4cCHOVg01NF6fFITTDF/PcXpscjyeJPND5xnuqaKEWsC/xdiE2LUaKxcvh8vPBs0OQIDnNhoiPP88NKfty4cSNSUlLwjW98I+z7CxYswHe/+13MmjULixYtwl/+8hdMmjQJzz77bL/nWbduHaxWq/CVn58/4vcSKyebOtHt8iLRbMCErERJ2jBTSBiVf0BI/FhQLEX+DeD/W6eCf8oj5G1JHOCcae6G3eGWpA0kMtUhdZMmSvSMGoqoAU5GRgb0en2f0ZqmpqY+ozoX4nker776KsrKymAyDd4T1el0uPTSSwccwVm7di1sNpvwVVdXF9kbkQCbnrporBV6CYaMAWD6mMAUVb2NNlBUCCnzbxjWm6PpBmXodXmF0bZYFoYMlZ5oxpgUf0kDGjFWBvb3PS0vGYYY1k2KhKitMplMmDNnDrZv3x72/e3bt2PhwoWDvnbXrl04deoUVq5cOeTv4XkeFRUVyM3N7ffnZrMZycnJYV9yF8sNNgcyMSsJJr0OnQ4P6tp6JWsHGZ7QHcSlGsEBQkf+6EGlBEfrbfD6eGQmmZGTLN1KVKGiMY38KUIw/0ae01NADKao1qxZgz/+8Y949dVXcezYMTz44IOora3FvffeC8A/unLHHXf0ed2GDRswf/58zJgxo8/PnnjiCbz//vs4c+YMKioqsHLlSlRUVAjnVINgBWNp8m8AwGTQYUquv7YB9cbl72x7L1q7XTDqOUyTcNM7lnDI9lEj8hacnopt3aQLsfyfzykPRxGCK6hSpG3IIAxi/4Lly5ejtbUVTz75JBoaGjBjxgxs3bpVWBXV0NDQpyaOzWbD5s2b8bvf/a7fc3Z0dOCee+5BY2MjrFYrZs+ejd27d2PevHliv52Y6HV5carZXwk21gX+LjQ9z4rPz9rwZb0NX7+o/xEyIg9sempqbrKkm97lp8XBGmeErdeNE+c7hZpKRJ6kTjBmZtEIjmJ4fbxQ5V6OFYwZ0QMcALjvvvtw33339fuzjRs39vme1WpFT0/PgOd75pln8Mwzz0SrebJzsqkTPA+kJ5iQlSRt8cIZY2ipuFLIIf8GCCYa7znVgi/O2SjAkTm5lNqfHrhOzrb3orXLifREs6TtIQM709yFHpcXcUY9xmfKM8EYoL2oZOl4oz/hb3KO9KWvQ5eKU6KxvH0hPKhSpG0IaGdxpbD1uiWtmxTKGmfEuAx/kcHP6bqRNRYUzxiTLNkimOGgAEeGKmUU4EzOSYJBx6G9x416m7r2+lITnudxvNG/nF/K/BuGloorA/t8CtKkqZt0ITaKRNeNvMl5B/FQFODIEAtwpsggwLEY9ZgY2ESNpqnk67zdCbvDA72Ow/is2Jba7w97UFU2UqKxnB0R8m/kMY04kxKNFYEFOHK5bgZCAY4MsZ745Bzpe+IAMCPP346jFODIFrtmijMSYDZIl2DMjE31Jxq7vFTRWM7YdPj0PHk8qIQ9qWgER7Y8Xh+O1su7gjFDAY7MtHQ50dLlAscBk7LlkbxFhdvkjwURk7OlH/UD/InGVNdE/k7IaLQYgLD/XXOnE61dTolbQ/pzqrkLDrcPiWYDimO8MWukKMCRGTY9VZgWj3hTTBa5DYn17r6spy0b5Kqy0V9WQA55WwwlGsuby+PD6UA5ikkyuW4SzAbkp/krGp843yVxa0h/2NY90/KSJdmYNRIU4MiMnFZQMdNyk6Hj/L2qJjslGstR5Xn/TWeSTEZwgGCiMRvOJvJS3doNj49HotmAPKu05ShCTcryX8M0tSlP7HORy6jfYCjAkZnjDfLKvwGAOJNe2PCTeuPy4/XxOHlefiM4rC0nz3fB56MSA3LDHlQTsxMlrWB8ITaaRAGOPLHPRU6dqYFQgCMzlTKNjlk9HApw5KemtRtOjw8Wow4FafFSN0dQmBYPk16HXrcX5zpoLzO5Yfk3csnbYlju4UmaopIl9rlQgEMi4vXxsh3+mxZYSUW9KvkReuJZSbIqumXQ6zAu05+ESNeN/FQKIzjyutewB2fl+U4qLiozXU6P0FmRyyKYwVCAIyO1bT1wuP098UKZZaezmyD1quRHjnlbjHDdNNF1IzfCtKbMApzxmYnQcf4qy82dtJJKTk4GguLMJDNS4qUvDDkUCnBkhOXfyK0nDgATAzk4VS3dVLhNZuS2RDzUpMB1QyM48uJwe1Hd6t+iYVKOvHriFqMeRYEOXiVdN7ISnJ6S1zUzEApwZETOPfFcqwUJJj08Ph41gRsjkQc5be1xIRr5k6dTTV3w8UBqvBGZMtzUcmI2C4zpupGT0OlwJaAAR0bktEXDhTiOwwSabpAdf0+8B4A8AxzW0zvVRCup5ORESP6NnFZQMZOEwJhGcOTkRJNyEowBCnBkJbiCSj5LxEOxaSrqjcvH6eYueH08UuKNyEqSX0+8IC0eJgOtpJKbEzLNv2FCE42JfJwUlojTFBWJQI/LI8yJy7EnDoQEOE1005ELNuo3SaY9cYNeh3EZtJJKboRaJjK910wKmdqklVTyYHe40WDzF3qV28q7gVCAIxP+P2QgPcGETBn2xIHgTecUTVHJhlzrJoVi1w3lU8iHEBhnybMnXpyRAIOOQ5fTg3obVU+XAzZyn51shjXOKHFrhocCHJmQc6Iow6oZn2nuhsdLK6nkIHQER66ChdtoBEcOwmuZyPO6MRl0KKaRP1k5qaAKxgwFODIh5xVUzJiUOMQZ9XB5faht65G6OQQh1WhlfN1QLRx5YQ+qrCQzUhPkW8tE2LKhkQIcOWAjsEpZQQVQgCMbbLPEqTJNMAYAnY4TRnFoukF6dodbGL6Xc6+K5W7RSip5EOomyTgoBkI33aR7jRyw3EulJBgDFODIxvEGZdx0gg8r6lVJjfVsc60WWc+JF6YnCCupzrbTSiqpVTYqoycuTG3SvUYWTsh0a4/BUIAjA82dTrR2u8Bx8u6JA8AE4aZDvSqpVSqkJ67XcRifSRWN5SI4giPvnvgk2o1eNmy9bpy3+7fNmEgjOCQSLFG0MC0ecSa9xK0ZHOv1US0c6VXKdDfo/kyiwFg2TigkWTR0N3oa+ZMWy9vKtVqQbJHvaPGFKMCRgeON/vwbuffEgeAUFSswR6SjhJV3TLBIJI3gSKm924WmTtYTl/d1Y9DrMD5w3VDBP2kJCcYyv2YuRAGODJxuVsacOADkp8XDbNDB6fHhbDutpJIKz/PCTV/uPXEgeGM8QfkUkmKjN2NS4pBoNkjcmqFNyqapTTkQRv1kWjdpIBTgyMDpZn8F4/FZCRK3ZGih+RQ0TSWd5k4nOnrc0HHB+kRyFlokkvIppKOUFVRMsEgkBThSCq6gUsZ1w1CAIwNnAgHOuAz5P6iAYJIZ5VNIh43eFKUnwGKUd94WENyTyuH2UT6FhNhUg1IeVFQFWx6CU1TKeEYxFOBIzNbrRkuXf058XKb8R3AAyqeQg9OB4FIJozcAraSSi0qFbZbIEuhPN3dR9XSJdPS40KyQvK0LUYAjsTOB/JusJDOSFJKdPiGLKtNK7UxLYNQvUxkPKiAkn4LycCTB87xiVlAxY1MD1dM9PtRQ9XRJsNEbpeRthaIAR2LC9JRCRm+A4DAl5VNIR4nXTegO0ST2mruUlbcFhFdPpxFjaQQL/CnjmglFAY7EzrT4b/bjFdQTD61PwTbtI7FVxUZwMpQT4AhTmzSCIwkWFI9NjVdE3hbDAmNWgZnElhI32WRiEuA8//zzKC4uhsViwZw5c/DJJ58MeOzOnTvBcVyfr+PHj4cdt3nzZkybNg1msxnTpk3Dli1bxH4bojjdpLypBoNeJ4wcnKJpqpjrdQUDSyVdN7SSSlosKC5WUFAMBEebWGeQxFZwk03l3GsY0QOcTZs2YfXq1Xj00UdRXl6ORYsWYcmSJaitrR30dZWVlWhoaBC+Jk6cKPxs3759WL58OcrKynDkyBGUlZVh2bJlOHDggNhvJ+rYH62SphqA4E2HeuOxxx5UKfFGpMl4N+gLsRpKDrcPdVRDKeZYvp/S7jUsIGPXPYktpS4RB2IQ4Dz99NNYuXIl7r77bkydOhXr169Hfn4+XnjhhUFfl5WVhZycHOFLrw8Oqa5fvx7XXXcd1q5diylTpmDt2rW45pprsH79epHfTXR5fTyqW/03+vEKWSLO0JYN0hGCYoX1xMNXUtF1E2tKnNYEggFZVXM3eJ5G/mLJv8rXBUB5gTEgcoDjcrlw6NAhlJaWhn2/tLQUe/fuHfS1s2fPRm5uLq655hp8/PHHYT/bt29fn3MuXrx4yHPKzbn2Xrg8PpgMOoxJjZO6ORGZKKyIoQdVrAUTjJUVFAMQSu9X0XRDzLHrplhhnanC9HhwHNDp9AgPWxIb1YGgOFNBq3xDiRrgtLS0wOv1Ijs7O+z72dnZaGxs7Pc1ubm5ePnll7F582a88847mDx5Mq655hrs3r1bOKaxsTGiczqdTtjt9rAvOWBbNBSnJ0Cv4yRuTWTYfOyp853Uq4oxpU41ADTdIBW314fawDJrpV03ZoMeYwMdQHbtk9hQat4WE5NF7RwX/vDmeb7P95jJkydj8uTJwv+XlJSgrq4Ov/nNb3DFFVeM6Jzr1q3DE088MdLmi+a0gh9UhekJMOg4dLu8aLA5kJeirBEoJTuj0KkGINhmNppAYuNsey88Ph4Wow45yRapmxOx4oxE1LX1oqqlG/PHpUvdHM1Q8r0GEHkEJyMjA3q9vs/ISlNTU58RmMEsWLAAJ0+eFP4/JycnonOuXbsWNptN+Kqrq4vgXYiHXTxKWiLOmAw6FKTHA6DeeCzxPI8qBU9R0QiONNjIR3FGInQKGy0Ggg9Yum5iS+kjOKIGOCaTCXPmzMH27dvDvr99+3YsXLhw2OcpLy9Hbm6u8P8lJSV9zvnBBx8MeE6z2Yzk5OSwLzlQ8lQD4J9aA4KBGhFfc5cTnU4PdJw/N0FpigI3yqZOJ7qcHolbox1KTTBm2D2S7jWxxXLllBrgiD5FtWbNGpSVlWHu3LkoKSnByy+/jNraWtx7770A/KMr586dw5///GcA/hVSRUVFmD59OlwuF9544w1s3rwZmzdvFs754x//GFdccQWeeuop3HzzzfjHP/6BHTt2YM+ePWK/nag6reCeOBC86KvpphMzocXazAblFGtjrHFGZCSa0NLlQnVLN2aMsUrdJE04rcDK16GKhalNysGJFaWPFgMxCHCWL1+O1tZWPPnkk2hoaMCMGTOwdetWFBYWAgAaGhrCauK4XC489NBDOHfuHOLi4jB9+nS89957uOGGG4RjFi5ciLfffhv/+Z//icceewzjx4/Hpk2bMH/+fLHfTtR0OtzCBmZKvekU0bBxzClxi4YLFWckoKXLhSoKcGJG6T1x1u7ath54vD4Y9FSEX2zNnU50u7zQcUBBmvJGi4EYJRnfd999uO+++/r92caNG8P+/6c//Sl++tOfDnnOW2+9Fbfeems0micJ9qDKTDIjWYHL74DgcDeN4MSOMK2psKW+oYozEvBZdTsFxjEUXCKuzAAnzxoHs0EHp8eHcx29KExX5vtQEjYdmJ8WD5NBmQGlMlutAkot1haq6IJeFREfu+kUK3oEh9XCoQAnFrqcHjSx0WKFBsY6HRecpqLrJiaUnmAMUIAjGbYH1XgF7u/B5CRbYDHq4PHxONtOm27GAhvBGa/gm05xhn+4mx5UscFGWNMTTLDGK3O0GAjNw6HrJhYowCEjpoYRHJ2OQ1E65eHEisvjQ1278jbZvJAwgtPcRUUiY0DJ9bZCCVs2UBXsmBDy/ZT8jJK6AVrFLh4l1sAJRXVNYqe2rQdeH48Ekx7ZyWapmzNirPS+3eFBWzeV3hebGnriAE1txlowMV25zygKcCTg9fHBuhQK71XRSqrYEYq1ZSYMWLVbCSxGPfKs/srXdN2IT8l7l4USOlM0RSU6T8jWHkrO96MARwL1Hb1wenww6XUYm6rM5XeMUAunlW46YguWTVf2gwqgwm2xpJYRHDZVUm9zoMdFRSLFdLa9F24vD7NBh1wFbu3BUIAjATYnXpQRr7hNNi9EiX+xo/TK16FoajM2eJ5XfBVjJjXBhNRAknR1S4/ErVG30KBYiVt7MBTgSCCYvKX8nnix0KvqhcPtlbg16qb0WiahaLohNpoDW2LoOAh7xykZBcaxcUYlo34U4EiAraAan6XsiwfwLz1NshjA8xDmbIk4lLw564XoQRUb7JpR6tYeF2IJr7Rlg7iUXvmaoQBHAqwGjhpGcDiOo2mqGOjocQkrjpR+0wGC1351azd8PloqLhY1bO0RKrhUnO41YlJL3hYFOBIQauCo5KZDicbiYz3xnGQLEswx2WFFVGNS42DUc3B6fGiwO6RujmqppSfOjKNqxjFRpZLAmAKcGOt2enDezjbZVP4IDoBgsT8awRGN2nrieh0nbOBH14141LJEnGFLls9QkUjR9Lq8qLf5Ox1Kn2WgACfGalr9eSrpCSZY45RbNj2UMGxMIziiUdMKKiZYuI3yKcSilhVUTFF6AhWJFBkbiU+JNyI1wSRxa0aHApwYYxdPoQpWNDC0XYP4giuolN2jCkW1cMTlDi3WppIAh4pEik8t+TcABTgxxwIcFhSoAatmzJakkuhTS+XrULSSSlx1bT3w+HjEGfXIUXCxtgtRYCwuCnDIiNUEClQVqijAscYZkR4Yyqymm07U+Xw8atoCNx0VXTcU4IiL/bsWKbxY24XouhGXGjbZZCjAiTFhBCdDPVNUAN10xNTU6YTD7YNex2FMapzUzYkadgOta+uBy+OTuDXqo7bEdEZYSUW1cEShhk02GQpwYowlGatpBAegTTfFxILisalxMOrV8yebmWRGgkkPHxWJFMUZlSUYM8WZtKu4mGiKioxIr8uLxkDNjyIVJRkDIbVw6KYTdTVCYrrybzihOI4Tlv3Swyr6alSY7wcEA7bq1h54qUhkVLV3u9De4wagjlkGCnBiiPVSrXFGpMQre/ndhYqpAJdoqgOjfmoLigFaKi4mNlqshgdVqLyUOJj0Org8PtR39ErdHFVhpT5yrRbEm5RfUJQCnBgKrqBS1w0HoGrGYqpV6bQmABQH/hZoBCe6nB4v6m3+h7/arhu9jkN+mj8XjaY2o0tNG/oCFODElFqnGoDgMHhHjxvtVIArqoTaSWkqDIxpikoUdW294HkgwaQXVjiqCbuHUocquqpDVt6pAQU4MaTmqYY4kx65Vn+tDZqmih6e51U71QCE7g5N10w0hXamOE49S8QZViiVjW6S6KhpU9czigKcGFLzCA5AicZiaO12ocvpAccBY1PVcdMJxW6kTZ1O9Lq8ErdGPYKrNdV3zQDB0UwawYmu2sC/Z0GaOp5RFODEUHWLenviAC0VFwN7UOVZ42Ax6iVuTfSlxJuQbPEnM1I+RfSovTNVGLjX1NAITlRVq2y0mAKcGFFz0h/Dlm/SppvRU6PCvcsuxP4eaui6iRo1T4cDwRGc2rYe2lU8Sjp6XLD1+peIF6gk348CnBhhSX+JZoMqk/4AelCJoVrlUw1A8L1Rbzx62GhYgUqvm7Gp8dBxQI/Li+Yup9TNUQX295eZZFbFEnGAApyYCe2JqzHpDwh/UFGvKjrUPtUAhFw3bRQYR4PH60OdkCyqzuvGZNAhL8W/VJwC4+hQW4IxQAFOzASHjNV5wwGCw5qdDg86AtUwyeiofaoBAArTKJ8imhpsDnh8PEwGnap2Eb9QUTpdN9GktgRjgAKcmNFCLoXFqEd2shlAsDdARqdWSyM49KCKimrhQRWvql3EL1QgXDc08hcNauxMUYATI1oYwQFCe+N00xktW49b2BdGzYExC97OdfTC7aVdxUerRoUPqv4UUWAcVaymkJrytmIS4Dz//PMoLi6GxWLBnDlz8Mknnwx47DvvvIPrrrsOmZmZSE5ORklJCd5///2wYzZu3AiO4/p8ORwOsd/KiGlhBAeg3ng0sZwUNSX99ScryQyzQQevj6e9haKgRoVTDf0poM5UVFWrcLRY9ABn06ZNWL16NR599FGUl5dj0aJFWLJkCWpra/s9fvfu3bjuuuuwdetWHDp0CF/72tdw4403ory8POy45ORkNDQ0hH1ZLPKcb3Z7fTjb7r9xq6UE9kAowIkeNQ4Z90en44Trppqum1FTWy2TgbD3R9Pho9fr8qKp078aTU33G9G7hU8//TRWrlyJu+++GwCwfv16vP/++3jhhRewbt26PsevX78+7P9/8Ytf4B//+Af++c9/Yvbs2cL3OY5DTk6OqG2PlnPtvfD6eFiMOmQlmaVujqgKAtF/La2IGbWaFvX1qAZSkJaAE+e7AjlHmVI3R9GEqQaV1DIZCHt/HT1u2HrcsMYbJW6RcrGyAskWA1Li1VPGRNQRHJfLhUOHDqG0tDTs+6Wlpdi7d++wzuHz+dDZ2Ym0tLSw73d1daGwsBBjx47F0qVL+4zwyElwF3F17gsTihXgohGc0VPjss2B0MhfdPA8L0xtqj3fL95kEDqMVGJgdIRnlMpmGEQNcFpaWuD1epGdnR32/ezsbDQ2Ng7rHL/97W/R3d2NZcuWCd+bMmUKNm7ciHfffRdvvfUWLBYLLrvsMpw8ebLfczidTtjt9rCvWFL7vjChCkP2FupxeSRujbJpoQYOU0RTVFHR1OmEw+2DXsdhTGqc1M0RHU1tRodaR/1ikmR84agFz/PDGsl466238Pjjj2PTpk3IysoSvr9gwQJ897vfxaxZs7Bo0SL85S9/waRJk/Dss8/2e55169bBarUKX/n5+aN7QxEKHcFRO9pbKHq0UMWYoanN6GAb3Y5JiYNRr/5FskL1dNr/blSqVboIRtS/gIyMDOj1+j6jNU1NTX1GdS60adMmrFy5En/5y19w7bXXDnqsTqfDpZdeOuAIztq1a2Gz2YSvurq6yN7IKAVHcNQf4ADBYU6abhi5bqcHzYGkv0KVr4YBwvcW8vmoCvZIaWm0GAiZEqfO1KiwzqjanlGiBjgmkwlz5szB9u3bw76/fft2LFy4cMDXvfXWW7jrrrvwv//7v/j6178+5O/heR4VFRXIzc3t9+dmsxnJyclhX7EUHMHRxk2HDXPWUoAzYuyGkxpv1ETy5JjUOOh1HBxun7Cag0SO5aJoJsDJoKXi0SAExiqbohJ9FdWaNWtQVlaGuXPnoqSkBC+//DJqa2tx7733AvCPrpw7dw5//vOfAfiDmzvuuAO/+93vsGDBAmH0Jy4uDlarFQDwxBNPYMGCBZg4cSLsdjt+//vfo6KiAn/4wx/EfjsRC90XplBlCVwDob2FRk9L+TcAYNTrMCYlDrVtPahp7UaOVZ4lH+ROKwVFGVrUMHpurw/nAvWn1Ha/ET3AWb58OVpbW/Hkk0+ioaEBM2bMwNatW1FYWAgAaGhoCKuJ89JLL8Hj8eCHP/whfvjDHwrfv/POO7Fx40YAQEdHB+655x40NjbCarVi9uzZ2L17N+bNmyf224lYg80Bt9e/L0yuiveFCUV7C42eVmrghCpMj/cHOG09mD8uXermKFKt1qbDA++TLWpQc0FMsai5jElMrob77rsP9913X78/Y0ELs3PnziHP98wzz+CZZ56JQsvEp5V9YUIV0JLfUROq0WrkQQX4A5xPTtJ0w0jxPK/aZNGBWOONsMYZYet1o7atB1NyYpt+oAZqfkapP81eYlrsiRfR3kKjVt2iveuGRv5Gp6PHjU6HvzSD2pb7DkYoMdBC181IqDXBGKAAR3RaqkbL0N5Co6fmm85A2MgflRcYGdYTz0m2wGLUS9ya2KESA6Oj1gRjgAIc0bHli1rqUel0nPB+qTceOYfbi3pbYO8yDY3gsJE/umZGRmtLxBkqEjk6at4ImgIckbEVVGragn44giup6KYTqbPtPeB5IMlsQFqCevaFGQoLim29bnT0uCRujfLUaGwFFUNlKUZHzXXaKMAREc/zwakGDY3gAP7NEwGqMDoSLJegID1e9XuXhYoz6YN7C9HDKmLBxHRt3WtYYdFqSk6PmM/HC51QGsEhEWnpcqHH5QXHQRP7woSiEZyRU/MNZyjCNBVdNxELbs6qvp74YFjnsb6jFy4PLWqIxPlOB1weHww6DmNS1PeMogBHRCzpLc8aB7NBO0l/QPDhTMPGkasVlm1q60EFhJQYoJG/iKk5l2IwmUlmxBn18PH+6V0yfGykdExqHAwq3LtMfe9IRtjFk5+mvsh4KIXCyoYe8DztLRSJWg2P4NDeQiPT5fSgpcuft6S1KSqO42jEeIRqQmrgqBEFOCIK5t9oryc+JiUOOg7odXuFTSPJ8Ghx5R3DtjOhkb/IsAdVWoIJyRb17112oUIa+RsRtSemU4AjInaT1lqPCgBMBh3yAnO6tHxz+Hw+Hmfb/EvENRngpLElv/SgioRwr9HgNQMER4zpXhMZtZcWoABHRLUa7okDIb0qelgNW6PdAZfXn/SXq8ENJ9k109TpRK/LK3FrlEPL05pA8B5bR1NUEWEbIqv1GUUBjoi0vBoGCCbJUmXa4WP/VmNVmvQ3lJR4E6xx/ikWum6GT8vTmgCt2hwJnueDU1QZNEVFItDrCuaeaPWmU0SbbkasVkhM1+Y1AwQfVjRNNXx1Gg9wQkdwfD5a1DAcoXuX5aeq87qhAEckrPeZbDEgJV471WhDUa8qclqfagCoMu1I1Gg8BycvJQ56HQenx4cmWtQwLOy+nJVkRpxJnWVMKMARSa1Gt2gIJVQzpp74sGl9qgEIqaFEgfGweLw+nAtsaqvGcvvDYdTrkJfiz1mj62Z4tNCZogBHJELRLQ0uEWdYcNfR44at1y1xa5QhmJiu3euG/c3QyN/wNNgc8Pp4mAw6YasLLQpu8EsdquFg05pqng6nAEckWrh4hpJoNiAj0T89R9MNw1Or8sJbw5FPK2IiEjo9pdNpZ++yC7FOAV03w6OFTjgFOCLR+goqRsinoJvOkOwON9p7/CNdmp7aDLz3s+098FLC6JC0Xo6CoXtNZIJpFOqttE8Bjki0uov4hQqFzRNp2HgobJQrPcGERLNB4tZIJyfZApNeB7eXR4OtV+rmyJ7aa5kMFy1qiEywOCSN4JAIeEOq0Wp5igqg6YZI1FFiOgBAr+MwNtXfq6Te+NC0vkScoWJ/w+f0eNFgdwBQ93VDAY4IzodUo81T4Rb0kQgm/tFNZyi0gioon5aKD5vWl4gzrGPQ0uVCl9MjcWvk7Vx7L3geiDfphTxJNaIARwTshjM21V+bQctoye/w0bRmEF03w8PzvBAEaj3fL9liREq8vwo2jeIMLrQzxXHqfUZRgCOCWjYnrtGaFKFYr7K+oxdur0/i1sgbrbwLooTR4enocaMzMFpB1w2NGA+XVu41FOCIILiqQdvTU4C/SqbZoIOP9w+LkoEFd/alwJgCnOFh/z7ZyWZYjOqsRhsJysMZHuFeQwEOiVTw4qEHFcdx9LAahtBqtFrPpQCC+RR0zQyO8rbC0b1meLRSaZ8CHBHQaphwdNMZWn2HvxqtWePVaBm2+R9VwR5ccAUVdaYAWio+XDRFRUaMelXhqDc+tNqQG46Wq9EyCWYDMhL9gR5NNwyshipfh6GyFEPjeV4zCxoowIkyW68bHawarcovnuGi3aGHxoq1qf2GEwmWw0aB8cC0UI02Eix/japgD6yly4UelxccB4xJVfd1QwFOlLGeQ0aiCQkarkYbSljZQA+qAdVqZMg4EkIVbAqMB1TXxvK2aIoK8FfBNuo5qoI9CLbKN88aB7NB3YnpFOBEGe0L0xebF69r6wHPU6+qP1TLpK98yt0alNPjRb2NEtND+atg03UzmGBnSt2jNwAFOFFHVUX7YjecLqdH2EyShKPAuC9a8js4rVSjjRRNiQ+utlU7QXFMApznn38excXFsFgsmDNnDj755JNBj9+1axfmzJkDi8WCcePG4cUXX+xzzObNmzFt2jSYzWZMmzYNW7ZsEav5EQnOidOQMWMx6pGTbAEQTIokQVSNtn/BFTF0zfRHK9VoI0WrNgcn5Ptp4BkleoCzadMmrF69Go8++ijKy8uxaNEiLFmyBLW1tf0eX1VVhRtuuAGLFi1CeXk5fvazn+GBBx7A5s2bhWP27duH5cuXo6ysDEeOHEFZWRmWLVuGAwcOiP12hlRLO/v2i246AwutRstGu0hoFWwHVcHuB22y2T9aKj44rSwRB2IQ4Dz99NNYuXIl7r77bkydOhXr169Hfn4+XnjhhX6Pf/HFF1FQUID169dj6tSpuPvuu/H9738fv/nNb4Rj1q9fj+uuuw5r167FlClTsHbtWlxzzTVYv3692G9nSMLyO+qJh6HlmwNjN+KcZAtVow3BqmB7fTzqOyhh9EI0Hd4/utcMTitVjAGRAxyXy4VDhw6htLQ07PulpaXYu3dvv6/Zt29fn+MXL16MgwcPwu12D3rMQOeMFbfXh/oO/xb0Wrh4IiH0qmhevA/Kv+kfVcEenFaq0UaK9qMaWK/Li6ZOJwBt3G9EDXBaWlrg9XqRnZ0d9v3s7Gw0Njb2+5rGxsZ+j/d4PGhpaRn0mIHO6XQ6Ybfbw77EUN/RC6+Ph8WoQyZVow1DD6qB1bJibfSg6oOum4HV0ghOv9i/h63XDRstaghztt1/zSSZDcLO62oWkyTjCxPgeJ4fNCmuv+Mv/H4k51y3bh2sVqvwlZ+fH1H7h4vngaUX5eLaqdmU9HcBqmY8MBrBGZhw3VBvPExoNVq6bsL5q2D7V5XVtdN1E0qY1kzXRmK6qAFORkYG9Hp9n5GVpqamPiMwTE5OTr/HGwwGpKenD3rMQOdcu3YtbDab8FVXVzfStzSooowEPHf7JXju9ktEOb+SsZtwo90Bh9srcWvkpYZWUA2IRnD619zlRK/bX42WEtP7ommq/mktKBY1wDGZTJgzZw62b98e9v3t27dj4cKF/b6mpKSkz/EffPAB5s6dC6PROOgxA53TbDYjOTk57IvEVnqCCfEmPXgewq7ZxE9LqxoiRblb/WPXTJ41DiYDlTO7EAXG/dNa3pbofxlr1qzBH//4R7z66qs4duwYHnzwQdTW1uLee+8F4B9dueOOO4Tj7733XtTU1GDNmjU4duwYXn31VWzYsAEPPfSQcMyPf/xjfPDBB3jqqadw/PhxPPXUU9ixYwdWr14t9tshIxSWMEoPK4HT40WD3Z+YrpVeVSRCi/1RFewgWkE1OFaHrJZqKIXR2giO6JslLV++HK2trXjyySfR0NCAGTNmYOvWrSgsLAQANDQ0hNXEKS4uxtatW/Hggw/iD3/4A/Ly8vD73/8et9xyi3DMwoUL8fbbb+M///M/8dhjj2H8+PHYtGkT5s+fL/bbIaNQkBaP442d1KsKUdfmr0abYNIjPYGq0V6ITb90Oj3o6HEjlf6NAGjvQRUpGsHpn9aum5jsBnnffffhvvvu6/dnGzdu7PO9K6+8EocPHx70nLfeeituvfXWaDSPxAjddPqqC6l8rYWkv0ixKtiNdgdq2noowAmobdXWVEOk6F7Tl88XTEwv1MjmrDR5S2KG8in6YltXFGhg47uRoodVX1rriUeK3WuoCnZQU6cTLo8Peh2H3BSL1M2JCQpwSMxQhdG+atv8Cdda2BdmpIJLxSmfgqmhiumDykwMVsE+106LGoBgZ2pMShyMem08+rXxLoksFAqJf5QwytDeZUOjEZxwPS4PmjVUjXYkdDqqgn0hLY76UYBDYmZMShw4Duh1e9Hc5ZS6ObJAq2GGRg+qcHWBUb9kiwEp8ZSTNBChFg5dNwC0WY6CAhwSMyaDDnlWf64JTVOFV6OlqYaBUTXjcGyqgaY1B0dTm+G0OK1JAQ6JKaowGtTU6YQzkPSXl0JJxgNh10yD3QGnh6pga3GqYSQKaeQvjJZ2EWcowCExRdMNQeyGk5di0UzS30ikJ5iQEKiCfZYSRjVXjXak2AgXdab8tHjd0F2VxBRtuhmktZoUI8VxXLAyLT2sNNkTH4n8kM6U1hc1dDrcaOt2AdDWyB8FOCSmaLuGIJYboKWkv5EqFKY2KZ9Ciz3xkchP8y9q6HF50dLlkro5kmJBcVqCCUkWo8StiR0KcEhM0cqGIC0m/Y0Ue5hr/brx+nicbaccnOEwG/TITfYXtNP6nlRazduiAIfEFHuYN3c60ePySNwaaQWnqLR10xkJGvnza7D1wu3lYdRzyLVSYvpQaErcT6urNSnAITGVEm9CssW/BZrmbzqt2qtLMVKFNIIDIOSaSY2HXkd7lw2F5bdpPdFYq3lbFOCQmKPVDUCX04PWQNKf1npVI8EeVLVtPfD5tJswWqPBYm2jQTWU/ISK6RqrnUQBDok5uukE37vWkv5GKi/FAoOOg8vjw/lOh9TNkYxWpxpGinL+/IQRHI1dNxTgkJgTVsRoOPGP9aioJz48Br0OY1L9OSdaHvmrpa09IlJIOThweXyo7/DXj9LadUMBDok5IZ9Cyw8qSjCOGBWJDHYKaJuG4WFTm1pe1HCuoxc+HrAYdchKMkvdnJiiAIfEXEFIPoVWaXXIeDQKaWqTRnAiZI03an5RQ+gScY7TVmI6BTgk5tiD6lx7Lzxen8StkUYtJYtGTOv5FB09Ltgd/lEICnCGT+uLGlhB0QINVkynAIfEXE6yBSaDDh4fj/oObSaM0hRV5ISRP41WM2YP6KwkM+JMeolboxxaX9Sg5dFiCnBIzOl0HPJZwqgGE409Xh/OBTaNpHL7w6f1Wji0gmpktL6ruJYrplOAQySh5WHjBpsDHh8Pk0GH7CSL1M1RDDYt09Hjhq3XLXFrYo+mNUdG61ObWs7bogCHSELLK2JqQm44OqpGO2wJZgMyEv2rQLQ43cA2GqXd5yMTnKLS3mgxz/Oa3YcKoACHSCS4VFx7Nx02LafFG85oBaepNHjdaDiXYjTYaPFZDS5qaO5yotfthY4DxqZq77qhAIdIQsu1cLTcoxotoUikBq+bOpqiGpGcZAtMev+ihgabthY1sJHOXGscTAbtPe61946JLITWwuF5be0tVEs98RFj0w11GpvadHq8aLD7H8503URGr+MwNrCoQWtT4lof9aMAh0giPy0OHAf0uLxo6XJJ3ZyYqtFw0t9oaXXkr66tFzwPJJj0SE8wSd0cxSnQ6HWj5RVUAAU4RCJmgx65yf4VRLUayqfgeV4YfdDqTWc0tJqczq6ZgvQEzVWjjQat7n+n5SJ/AAU4REJa7FW197jR6fRXo9Vi0t9osRt1va0XTo9X4tbETo3woIqTuCXKVJDOikRq514D0AgOBThEMmy5q5YCHPagykm2wGKkarSRykg0Id6kB8/7V8VoRfBBpc2e+GhptdiflmvgABTgEAkJ9Sk0dNMRVlBptEc1WhzHBaepNBQY19HKu1EJ3a5BK4saupwetHb78xu1er+hAIdIRou1cLTeo4oGLV43lJg+OuzfrdPpQXuPNqpgs3tNarwRyRajxK2RBgU4RDKFIUvFtaI6cNMp0miPKhqEbT40ct34fDztQzVKFqMe2cn+KthaCYzZ4o0CDU9rihrgtLe3o6ysDFarFVarFWVlZejo6BjweLfbjYcffhgzZ85EQkIC8vLycMcdd6C+vj7suKuuugocx4V9rVixQsy3QkTAhk1bulzoCiTeqp1Qbl/DN53R0toUVVOnE06PD3odh7wUSjIeKa11qIQaOBoe9RM1wLn99ttRUVGBbdu2Ydu2baioqEBZWdmAx/f09ODw4cN47LHHcPjwYbzzzjs4ceIEbrrppj7Hrlq1Cg0NDcLXSy+9JOZbISKwxhmREu8fOtXKw4qN4BRnUIAzUoUay91i73NMShyMehp0H6l8jQXGWl9BBQAGsU587NgxbNu2Dfv378f8+fMBAK+88gpKSkpQWVmJyZMn93mN1WrF9u3bw7737LPPYt68eaitrUVBQYHw/fj4eOTk5IjVfBIjhekJ6OjpQG1bN6blJUvdHFF1OT1o6XIC0G7SXzSE1sLx+XjVb1ha3Up7l0VDcB8zbQQ4lO8n4gjOvn37YLVaheAGABYsWACr1Yq9e/cO+zw2mw0cxyElJSXs+2+++SYyMjIwffp0PPTQQ+js7BzwHE6nE3a7PeyLyIOW9haqbvE/qNITTJpN+ouGvJQ46HUcnB4fmjqdUjdHdGxasyhDuw+qaChM19YIDu15J+IITmNjI7Kysvp8PysrC42NjcM6h8PhwCOPPILbb78dycnB3v13vvMdFBcXIycnB19++SXWrl2LI0eO9Bn9YdatW4cnnnhiZG+EiEpLvSqt7wsTLUa9DmNS4lDb1oOa1m7kWC1SN0lU1S0sMZ2mNUeD5b1VayDJ2O314VyHv06UlvP9Ih7Befzxx/sk+F74dfDgQQDot6Q4z/PDKjXudruxYsUK+Hw+PP/882E/W7VqFa699lrMmDEDK1aswN/+9jfs2LEDhw8f7vdca9euhc1mE77q6uoifdtEJFpKGK0WeuLaveFEi5YCY+G60fCDKhqKA/9+TZ1OdKt8UUN9Ry+8Ph5mgw5ZSWapmyOZiEdw7r///iFXLBUVFeHzzz/H+fPn+/ysubkZ2dnZg77e7XZj2bJlqKqqwkcffRQ2etOfSy65BEajESdPnsQll1zS5+dmsxlms3Y/ZDkLLvlVf6+KTVHRg2r0tBIY8zwfvG4oMB4Va7wRqfFGtPe4Ud3ajel5VqmbJJqqkHuN2nPUBhNxgJORkYGMjIwhjyspKYHNZsOnn36KefPmAQAOHDgAm82GhQsXDvg6FtycPHkSH3/8MdLT04f8XUePHoXb7UZubu7w3wiRBdYTr+9wwO31qXqVCE1RRU+RRqYbWrpc6HZ5oeOAfNqHatQK0xPQ3tOBmtYeVQc4waBY2/ca0Z4mU6dOxfXXX49Vq1Zh//792L9/P1atWoWlS5eGraCaMmUKtmzZAgDweDy49dZbcfDgQbz55pvwer1obGxEY2MjXC5/yenTp0/jySefxMGDB1FdXY2tW7fitttuw+zZs3HZZZeJ9XaISLKSzLAYdfD6eJxT+d5CNNUQPWw0Q+0BDnt/eSlxMBto77LRYuUZ2AiHWgULimr7XiNqd/nNN9/EzJkzUVpaitLSUlx00UV4/fXXw46prKyEzWYDAJw9exbvvvsuzp49i4svvhi5ubnCF1t5ZTKZ8OGHH2Lx4sWYPHkyHnjgAZSWlmLHjh3Q6+kGoDShewupOZ+ix+URVvxo/aYTDcWBnml1i7r3FmI9caqbFB3sb0/t1Ywp389PtFVUAJCWloY33nhj0GNCb05FRUVD3qzy8/Oxa9euqLSPyENBWgJOnO8K3HQypW6OKNhKmNR4I6zxtER8tMamxoPjWG0hFzJVmkhZLVS+1vZUQ7QUhQTGakb5fn7qTXggisF642oeNqYtGqLLYtQjz+rPSVHzNBUtEY8u9u9YpeJrxu31oS4w3a/1kT8KcIjkijMSAQR7HWpEm2xGnxbyKShvK7rYv2OzipeKn233LxG3GLW9RBygAIfIgDBsrOIlvzU0Jx51wekGdQY4tEQ8+thScUC9I3/VtERcQAEOkRzride29cDt9UncGnFU0Zx41Kl9qTgtEReHsAJPpXk4NOoXRAEOkVx2kkVYKn5WpUvFqQZO9AWnqNT9oKIl4tGl9sCYRv2CKMAhktPpuOBNR4XTDb0uLxrtDgDUq4omdgOvae1W5VJxWgkjDjXfawCgKtCZKtZ4kT+AAhwiE2pOGGXbUCRbDEihJeJRk58aDx0H9Li8qtxVvJp2ERcF+/esUWnOHwvcaMUmBThEJopUHOCwuf7ijIRhbTRLhsdk0GFsqnpLDFA1WnGoeam4y+PD2fbg/UbrKMAhslCs4nlxqoEjnmDCqPquG5qiEge7Zpo7nehS2VLxs+098PFAvEmv+SXiAAU4RCaKM1U8gkM1cERTHPg3VVtvnOd5YQqFpqiiyxpnRFqCCYD6tmyoDulM0WgxBThEJlgv9VxHL5wer8StiS6aExcP+zetUdlKqpYuF7qcnsAScQpwoo2tZlTbUvGqFupMhaIAh8hCRqIJiWYDeB6oVVnyHxX5E0+xSncVr6El4qJS65Q4LREPRwEOkQWO44SheDVNUzncXtTb2BJx6lVFW1FIgOPzqWepOBWGFJdac7dYwFZM1w0ACnCIjKixAFdtm380KslsEOb9SfSMTY2DXsfB4fbhfKdD6uZEDeXfiEuYolLRvQYILS1AAQ5AAQ6RkXEqrEwr5N9kxFPSnwiMeh3yU/3bGKhp5K+Kyu2LKji1qZ57jcvjw7lAJXgKjP0owCGyocZh4xqqZSI6Ne4tVEMBjqgK09W3VLy2zb9EPMGkR2YiLREHKMAhMqLGYn+08Z341Da16d9FnKaoxKTGpeI1tES8DwpwiGywxLhGuwO9LnUsFQ/WpaAHlVjUts0HWyLO0RJxURWpbKk4u/6pgnEQBThENlITTMJeTWrpjQd74nTTEYvapjaFJeJWWiIupiKVlRigvcv6ogCHyIqadvp1eryotwWS/miKSjRs5K+mrUcVS8WpJx4barrXACGdKbrXCCjAIbLCbupnVHDTqWntAc8DiWYDMhJpibhY8lIsMOo5uDw+IaBUMpaYTtOa4lLbCE4VFfnrgwIcIitq6lWdbuoCAIzPpKQ/MRn0OuSnqiefgi0RpxEccbGRPzWUpaDR4v5RgENkhW26qYZeFRuFGp+ZKHFL1E9YgaeC64Z2n4+NwkCuSkuX8peK17XRaHF/KMAhsqKmXpUwgpNFAY7Y1DLyx/M8qprZCA5NUYkp2WJEemCpuNKvm6qQsgI0WhxEAQ6RlaKQXlWnwy1xa0bndLM/wBlHUw2iY8GA0h9UjXYHul1eGHQcjeDEgFpqbwkV0+maCUMBDpGVJItRGGJVcj4Fz/M4HeiJ0wiO+NSSMHq6yd/+gvR4GPV0exbb+MCUOOuMKBVtstk/+gsislOsgnwKVgJex9FqmFhgU1R1bb3wKnipOHvQTqC8rZhg+XGsM6JUZ5ppBVV/KMAhsqOGfIpTgQdVQVo8FWuLgbyUOJgMOri8wQ0HlegU5W3F1ITAvzP7d1cqdr+ZQNdNGApwiOyoYV6c9QjHUU88JvQ6ThieP9XcKXFrRo6N4NDKu9hg/85nmrsUWyTS1utGc6cTQHDKjfhRgENkRw17C51pDtbAIbGhht74abpuYio/LR4mvQ5Ojw/nOpQ58seumZxkC5IsRolbIy8U4BDZCQ1weF6ZvSohwZh64jEzXuEBTqfDjfP2QE+cphpiQq/jhPvNKYUmGrPrnaan+hI1wGlvb0dZWRmsViusVivKysrQ0dEx6GvuuusucBwX9rVgwYKwY5xOJ370ox8hIyMDCQkJuOmmm3D27FkR3wmJpeKMBHCcf+i1pcsldXNGhGrgxJ7SR3BYomhWkhnJ1BOPGXbdnFbodRNaMZ2EEzXAuf3221FRUYFt27Zh27ZtqKioQFlZ2ZCvu/7669HQ0CB8bd26Neznq1evxpYtW/D2229jz5496OrqwtKlS+H1esV6KySGLEY9CtL8K49ONikvn6LX5RWGu6kGTuywlUenmroUOfInJBjTqF9MKX2pOI3gDMwg1omPHTuGbdu2Yf/+/Zg/fz4A4JVXXkFJSQkqKysxefLkAV9rNpuRk5PT789sNhs2bNiA119/Hddeey0A4I033kB+fj527NiBxYsXR//NkJibmJWImtYenG7qwsLxGVI3JyIsdygl3oi0BCqbHivjMv0jf3aHB81dTmQlWaRuUkSE/JssCopjabwwgqPMnL/gdUMBzoVEG8HZt28frFarENwAwIIFC2C1WrF3795BX7tz505kZWVh0qRJWLVqFZqamoSfHTp0CG63G6WlpcL38vLyMGPGjAHP63Q6Ybfbw76IvLE/1pMKHDYOXQlDZdNjx2LUC5tuKnGailZQSYP9eysxB8fh9qK2zV8QlUZw+hItwGlsbERWVlaf72dlZaGxsXHA1y1ZsgRvvvkmPvroI/z2t7/FZ599hquvvhpOp1M4r8lkQmpqatjrsrOzBzzvunXrhDwgq9WK/Pz8UbwzEgsTs5IAKP1BRT3xWFNyPgUlpktjXODvtK3bhbZuZeX8Vbd2w8cDSRYDMhPNUjdHdiIOcB5//PE+ScAXfh08eBAA+u298jw/aK92+fLl+PrXv44ZM2bgxhtvxL/+9S+cOHEC77333qDtGuy8a9euhc1mE77q6uoieMdEChMUPYJDNXCkotREY7fXJxS2pJ54bMWbDBiTEgdAeXk4bFptQhaNFvcn4hyc+++/HytWrBj0mKKiInz++ec4f/58n581NzcjOzt72L8vNzcXhYWFOHnyJAAgJycHLpcL7e3tYaM4TU1NWLhwYb/nMJvNMJspulUSdpNv7nTC1uOGNV45q0rO0FSDZCYodLqhtq0HHh+PeJMeOcnKyh1Sg/FZiTjX0YvTTV24tChN6uYMm5BgTPeafkUc4GRkZCAjY+ikz5KSEthsNnz66aeYN28eAODAgQOw2WwDBiL9aW1tRV1dHXJzcwEAc+bMgdFoxPbt27Fs2TIAQENDA7788kv86le/ivTtEJlKNBuQa7WgwebAqeZOzClUxk3H5+OF5b40RRV7Sq2Fw6bUxmUmQKejnnisTchMxO4TzYobwaEtGgYnWg7O1KlTcf3112PVqlXYv38/9u/fj1WrVmHp0qVhK6imTJmCLVu2AAC6urrw0EMPYd++faiursbOnTtx4403IiMjA9/85jcBAFarFStXrsRPfvITfPjhhygvL8d3v/tdzJw5U1hVRdRBidMNDXYHet1eGPUc8tNok81YY9fMebsTdodb4tYMH+XfSIutXFPSvQag0gJDEbUOzptvvomZM2eitLQUpaWluOiii/D666+HHVNZWQmbzQYA0Ov1+OKLL3DzzTdj0qRJuPPOOzFp0iTs27cPSUlJwmueeeYZfOMb38CyZctw2WWXIT4+Hv/85z+h19Omhmoi5OGcV85N50zIJptGPRUKjzVrnBGZSf7paCUlGtMu4tKaoMBdxf2jxTSCMxjR6uAAQFpaGt54441BjwktyBUXF4f3339/yPNaLBY8++yzePbZZ0fdRiJfwkoqBQ0bn6YeleQmZCaiudOJU01dmF2QOvQLZIB2EZcW+3eva++Bw+2FxSj/zvK5jl44PT6YDDoaLR4AdTGJbClxBEeYaqAHlWSEqU2FBMY8z1MNHImlJ5hgjTOC55WzyS8LisdlJEBPeVv9ogCHyNbEwIPqXEcvelweiVszPPSgkp7SauE0dznR6fBAxwGF6dQTlwLHcYrL+aP8m6FRgENkKzXBhPTAVgdKKaN+RqiBQyuopKK0BxW7tvPT4hUxNaJWStuTirZoGBoFOETWggX/5L/pZpfTg0a7AwAwPoNuOlJh10xtmz+fQu5OUYKxLCgtMKZNNodGAQ6RtYnZyrnpsBUNGYlmRRUmVJusJDOSzAb4eH8pe7k7TQnGsjBeQSupeJ6nwHgYKMAhssb+eJWwZQPtQSUPHMcpaodoum7kgY2EnGnugs/HD3G0tFq7XejocYPjaDp8MBTgEFmbmO1fKq6EhNEztAeVbChpuuEMFfmThbGp8TAZdHB6fDjX0St1cwbF7odjU+Mob2sQFOAQWWMPqurWbjg98s6nYMvZqScuPaUsFe9xeYSHKQU40tLrOIzLCFQ0lvl1Q9NTw0MBDpG1rCQzkiyBfIqWHqmbM6jjjXYAwNTcZIlbQoRNN2U+gsNGb9ITTEgNrBgk0hHycGR+3VCC8fBQgENkLbQ+hZxXUnU7Pahp8wdgU3KShjiaiC00n8Ir43wKqpskL0pZKk41cIaHAhwiexMVkE9x4nwneN4/4pSeaJa6OZqXnxaST9Eu33yK443+oJ1WUMmDUnajZyN/NIIzOApwiOwFR3Dke9NhD6opND0lC+H5FPId+Tve4J/WnJZLo35ywPa/q2zsDNsnUU66ncG8LQpwBkcBDpE9dtOR87w4e1BNpekp2VBCb/xYgz/4orwteRiflQCDjoPd4UG9zSF1c/oVmreVEk95W4OhAIfIXjCfohser0/i1vTvmDCCQwGOXAg1lGS6WWt7t0uofE0jf/JgNuiF+82xervErenfscBihsnUmRoSBThE9sakxMFi1MHl9aFOhvkUPM8LIzhTcuhBJRfsAVB5Xp5TVMcC10xBWjwSzQaJW0OYaYFgk30+cvNVPZvWpHvNUCjAIbKn03HCaoGTMnxYNdgcsDs8MIS0k0iPPQCON3bCLcORv6/YtCaN+skKmy78Sq4BDsvbyqMAZygU4BBFmCjjRGNW/2ZCViJMBvqTkouCtHgkmPRweXxC3oKcUP6NPE2V8QgOz/PC1BkFOEOjuzFRBHbTOVpvk7glfbEHFdW/kRedjgvpjcvxuqHCkHLERtRq2nrQ5fRI3JpwZ9t70en0wKTX0WjxMFCAQxRhep4VAHBUhol/7EFFiaLyMz3Qy/1KZteN2+sTVndRLoW8pCeakZ1sBs8DlY3yum7Y/W9STiKMenp8D4X+hYgisAdVTWsP7A63xK0JJ9TAoREc2WHD+HLLpzjd3AWX14dEswFjU+Okbg65QHDkT145f0LeFi1mGBYKcIgipCaYMCbF/yCQ0/JNh9uLM4Gy7jTVID/TcoMjf3Iq3HY8ZFqT4ziJW0MuJNc8nGOUYBwRCnCIYrA/ajlNU51q6oKPB1LjjchKoi0a5GZidiL0Og4dPW40yKhwG+XfyJtcl4rTEvHIUIBDFINNU30po0TjYyH1b6gnLj8Wo15YgSenPJyvKMCRNfa5HG/olM1mrbYet7BFw1QawRkWCnCIYrBEYzk9qI5TBWPZmybDuibBJeJ03chRcUYCLEYdet1e1LTKo8QAu37z0+KQbDFK3BploACHKAYbwTnZ1AWH2ytxa/xYDRxK+pOv4NSmPEb+mjudaOlyguOo3L5c6XUcJmf7P5tjMkk0Fgr80ajfsFGAQxQj12pBWoIJXh+PEzKoaMzzfLAGDvXEZUtuIzhsWrM4PQHxJtqiQa6CK/DkERizkWua1hw+CnCIYnAcF8zDOSf9w6q5y4m2bhd0XHDHcyI/7EFV19YLW6/0JQYowVgZgiuppO9MATSCMxIU4BBFkdN0A1vqW5SRgDiTXuLWkIGkxAdLDByXwSjOMdqDShHktFTc5fHhVJP/fkNLxIePAhyiKHKqaEz5N8ohpw0UaQ8qZWCFOxtsDrR3uyRty6mmLri9PJItBiFYJ0OjAIcoyow8tkO0HR6Jd4g+TntQKYZcaig5PV6cpsKQipBkMaIgLR6A9KM4oTuIUzmK4aMAhyhKUXoCEkx6ONw+nGmRdvnmMWGJOD2o5E5INJY4wDnV1AWPj4c1zohcq0XStpChsWlEqUf+KMF4ZEQNcNrb21FWVgar1Qqr1YqysjJ0dHQM+hqO4/r9+vWvfy0cc9VVV/X5+YoVK8R8K0QmQneIljIPx79ZIo3gKEWwxEAnXB7pRv6O0RYNiiKXqU22kosSjCMjaoBz++23o6KiAtu2bcO2bdtQUVGBsrKyQV/T0NAQ9vXqq6+C4zjccsstYcetWrUq7LiXXnpJzLdCZIQ9rI5KuJKKzYnTZonKMDY1DkkWA9xeXtjFWwq0gkpZ5LCSiuf54BYNlGAcEdGKMBw7dgzbtm3D/v37MX/+fADAK6+8gpKSElRWVmLy5Mn9vi4nJyfs///xj3/ga1/7GsaNGxf2/fj4+D7HEm2QQ6Lx4dp2AMBFY63UE1cAjuMwLTcZB6ra8FWDXbIHxTFa6qso7HM6FRj5Mxlin9VxrqMXdocHRj1H5SgiJNqntW/fPlitViG4AYAFCxbAarVi7969wzrH+fPn8d5772HlypV9fvbmm28iIyMD06dPx0MPPYTOzoEjbKfTCbvdHvZFlGv6mOAUlVQ7RB+u6QAAzClMleT3k8hJXWLAXxiSRnCUZGxqHJLM0o78sdGbCVlJkgRYSibav1ZjYyOysrL6fD8rKwuNjY3DOsdrr72GpKQkfOtb3wr7/ne+8x289dZb2LlzJx577DFs3ry5zzGh1q1bJ+QBWa1W5OfnR/ZmiKxMzEqCUc/B7vDgbHuvJG1gIziXFFCAoxRS72VW3dqD9h43THodJuUkStIGEhmO4yTPw2HTYzTqF7mIA5zHH398wERg9nXw4EEA6Hfonuf5YQ/pv/rqq/jOd74DiyV8tcGqVatw7bXXYsaMGVixYgX+9re/YceOHTh8+HC/51m7di1sNpvwVVdXF+G7JnJiMugwKbBPjBS98bZuF6oCK7hmF6TE/PeTkQndskGKkb+D1W0A/NOaZgMVhlSKi8b6A2PWqYk1lmBMhSEjF3EOzv333z/kiqWioiJ8/vnnOH/+fJ+fNTc3Izs7e8jf88knn6CyshKbNm0a8thLLrkERqMRJ0+exCWXXNLn52azGWazecjzEOWYnpeMo/V2HK234/oZuTH93Ydr/De68ZkJSIk3xfR3k5GbkJUIo55DZ2DkLz9Q4yRWDgWumzlFNOqnJHOL0vDHPVU4VB37AIfneVTUdQAAZoyxxvz3K13EAU5GRgYyMjKGPK6kpAQ2mw2ffvop5s2bBwA4cOAAbDYbFi5cOOTrN2zYgDlz5mDWrFlDHnv06FG43W7k5sb2QUek459uOCtJojHryVH+jbKYDDpMyUnGF+dsOFzbHvMA52AgwJlbmBbT30tGZ24gIK083wlbjxvWeGPMfnddWy/O250w6jlcnJ8Ss9+rFqLl4EydOhXXX389Vq1ahf3792P//v1YtWoVli5dGraCasqUKdiyZUvYa+12O/7617/i7rvv7nPe06dP48knn8TBgwdRXV2NrVu34rbbbsPs2bNx2WWXifV2iMzMGMM23Yz9FBXriVP+jfJcWuQPLj6taovp7+3ocQlJqhQYK0tGohnFGQkAgEO1sb1uPg1Ma84cY4XFSNOakRI1JfvNN9/EzJkzUVpaitLSUlx00UV4/fXXw46prKyEzRb+kHr77bfB8zy+/e1v9zmnyWTChx9+iMWLF2Py5Ml44IEHUFpaih07dkCvpwtAK6bmJkOv49DU6cS5jtglGru9Pnx+1n+90oNKeeYV+wOcz6pj+6BiQfG4zASkJdC0ptLMDfytfxbjaarPAoH4pcU06jcSotXBAYC0tDS88cYbgx7TX7LfPffcg3vuuaff4/Pz87Fr166otI8oV7zJgBljrDhS14EDZ1rxrUvGxuT3Hm/oRK/bi2SLAeMzaSWM0lwamG44cb4Lbd2umAUbwekpCoqV6NKiNPz10NmY5+GwQHxeEQU4I0GL6oliLQj0ag6ciV1vnOXfzC5IhU5HBf6UJj3RjAlZ/sA0lqM47MFI+TfKxPJwKs52wOnxxuR3Nnc6hf326LoZGQpwiGItGJcOANhf1Rqz30n5N8onTFPFKA/H6fGi4mwHAFpBpVTFGQlITzDB5fHFLO+PlRWYnJ0U08RmNaEAhyjW3KJU6DigprUHDbbY5OHQCirlmx8IcD6N0QjOl+fscHl8SEswYVwgWZUoC8dxwihOrPJw2O+5tJjuNSNFAQ5RrCSLUagNEYtpqia7A2fbe8FxwKx8qkmhVGwl1dF6O7qcHtF/36Ea/7U5pzCV9i1TMHbdHIxRYMymUC+l/JsRowCHKBqbpjoQg2kqNnozOTsJSRYaMlaqvJQ4jE2Ng9fHC0UbxXSwmhKM1YCN2h6qaYfPJ24l7C6nR6jSPo9WUI0YBThE0dh0w/4YjOAI+Tf0oFI89tAQux4Oz/PCdTOX8m8UbXqeFRajDu09bpxpEXfjzcM17fDx/s0+c61xov4uNaMAhyja3KI06DigqqUb5+0OUX/X4doOAMAcSjBWPLbsVuw8nOrWHrR2u2Ay6KjUvsKZDDqhmrDYeTi0PDw6KMAhimaNM2Janr+q8f4z4k1TOT1efBEo8EcjOMrHRnAq6jrgcIu37FfYYHMMbbCpBiwfRuwSA59Sgb+ooACHKN6C4sBycRGnqY7W2+Hy+lfCFKXHdg8jEn3FGQnISDTD5QlWphYDbbCpLnOFRGPxRnCcHq+wwealdN2MCgU4RPHmxyDR+LBQ/yaFVsKoAMdxmFfMlv2KFxjTBpvqcklBCnQcUNvWgyaRpsS/PGeHM1BWgKqljw4FOETx5hWlgeOAM83dot10WI+NpqfUg+U3HBAp0bi9mzbYVJskixGTc/xT4gdFWoHHAu65VFZg1CjAIYpnjTdiWm4gD0eEh5XT48WeUy0AgJLAaBFRvnmBqc1D1W3weH1RPz9tsKlOlxaJO/LHKmzT8vDRowCHqML8wMPqgAiJxntPtaLL6UF2shmzxqZE/fxEGpNzkpBkMaDb5cWxhs6on58lvVP9G3URMw/H5+OFkSEq8Dd6FOAQVVgwjtXDiX6A8/7RRgDAddOyaYNNFdHrOOEhEu38LZ7n8a8v/dfN1VOyonpuIq15QiVsG5o7nVE994mmTth63Yg36TE9sDqUjBwFOEQV5hX783BON3dH9abj9fHY/tV5AMDi6TlROy+RBzYNEO08nC/O2XCuoxdxRj2unEQBjprkWC2YlZ8CHw9sC3R+omVnZTMAf86WQU+P59Gif0GiCinxJkwJJP9Fszd+uLYdrd0uJFsMwrYQRD0un5ABAPjkZHNU96V674sGAMDVU7MQZ6L6N2qzdGYuAOC9z+ujet53K/znWzIjN6rn1SoKcIhqsGmqXYFeUDS8H5hmuGZqNozUo1Kd6XnJKM5IgMPtwwdR6o3zPI9/feE/1w30oFKlJTP9o7kHqtqitnLzVFMXvmqww6DjsGQGjRZHA92xiWqwKaR/fdmIXtfoq9PyPI/3v2oMnDt71Ocj8sNxHG6+OA8A8PeK6PTGj9bbUdvWA4tRh69NyYzKOYm8jE2Nx+yCFPA8hFyr0Xr3iP/6u2JSJlJp1V1UUIBDVGNeURry0+LQ5fQIicGjcayhE3VtvTAbdLhiEj2o1Ormi8cAAP59qiUq+Vtb2fTUlCzEmwyjPh+Rp6UX+QPj9z5vGPW5eJ7H/wUCnBtn0ahftFCAQ1RDp+PwrdljAQCbD58d9fk+CIzeXDEpkx5UKlackYBZY63w+vhR51TwPC8EOJRHoW43BKapPqtpQ6NtdNNUR+vtONPSDbNBh+um0fRUtFCAQ1Tllkv8Ac6eUy1osPWO6lzvH6XVU1rBRnFGO031VYMd1a09MBt0tDxc5XKtcZhbmBqYphrdKA6bnrp2ajYSzdSZihYKcIiqFKTHY15xGngeeOfwuRGfp66tB8ca7NDrOFw7lR5Uard0Vi50nH938ZrW7hGfhyUXXzU5Ewn0oFK9r1/kH6X7v1FMU/l8PP5J01OioACHqM6tlwSnqXieH9E5WA7P/OI0pMRTwp/aZSVZcFlgyfg/RjiKEzo9dcNMelBpwQ0zc8Fx/m056jtGNmJ8qLYdDTYHkswGXDWZOlPRRAEOUZ0lM3NgMepwprkbFXUdIzoHC3BKp9HqKa24aRZbTXVuRIFx5flOnGnphsmgwzVT6brRguxki1ANmwW3kWK1b0qn58BipJpJ0UQBDlGdJItRSPD826HIk42bO53CfjCllH+jGdfPyIHJ4A+Mj9bbI3791sA0xZWTMimPQkOWBqap3htBgOPx+oTA6KZAuQISPRTgEFViycb/PFIPhzuymjivfHIGPA/Myk9BXkqcGM0jMpRkMQr5Vv+oiCx/i+d5bA3UQ/k6TU9pyvUzcsBxQHltB86290T02r2nW9Ha7UJaggkLx1Ol9GijAIeoUsn4dORaLbA7PPjwWNOwX1fV0o0//bsKAPDgtRPFah6RKbaa6t0j9fD6hj9N9f7R8zjV1AWTQYerKSldU7KSLJgf2NPsL5/VRfRatnrqhpk5VCldBPQvSlRJr+Pwzdn+h9XfDg3/pvOLrcfg9vK4anImJfxp0FWTM5FsMeC83YntXw2vWGSnw43H3z0KAPjBFeOQbDGK2UQiQ99dUAgAeHHXGZxq6hzWayobO4UA56ZZY0Rrm5ZRgENU65Y5/mmq3Sdb8OU525DH//tUC7Z/dR56HYf//PpUsZtHZMhs0OP2+f6H1c+2fDmsfYZ++8EJNNodKEqPxw+/NkHsJhIZ+vrMXHxtciZcXh9++rfPhxz9c3l8eHBTBVweH742OROXFqXGqKXaQgEOUa3xmYlYPD0bXh+Pe/58EC1dA5fh93h9ePKfXwEAyhYUYkJWUqyaSWTmwesmYmpuMtq6XfjJX4/AN8jD6khdB17bVw0A+P++MZNWwWgUx3H4n2/ORKLZgMO1Hfhz4JoYyO8/PImvGuxIjTfiqVsvAsdxsWmoxlCAQ1Tt17fNwriMBNTbHLjvzcNwe339Hvf2Z3WoPN8Ja5wRqyn3RtPMBj1+v+JiWIw6fHKyBRv2VPV7nMfrw9p3vgDPA9+cPQaXT8yIcUuJnOSlxOGRJVMAAL/aVom6tv4Tjg/XtuP5nacAAP/zzZnISrLErI1aI2qA8z//8z9YuHAh4uPjkZKSMqzX8DyPxx9/HHl5eYiLi8NVV12Fo0ePhh3jdDrxox/9CBkZGUhISMBNN92Es2dHv/cQUZ9kixEv3zEXiWYDPq1qw3//31d9jrH1uvH09hMA/InFVNiPTMxOwmNLpwEAfvX+8X6nODfurcZXDXZY44x4lKY0CYDb5xVgfnEaet3eQPAbPvrX4/JgzaYK+AJBMRWEFJeoAY7L5cJtt92G//iP/xj2a371q1/h6aefxnPPPYfPPvsMOTk5uO6669DZGUzcWr16NbZs2YK3334be/bsQVdXF5YuXQqvN7LlwEQbJmQlYv3yi8FxwJ/31WDTZ7UA/PVu/lFxDvf/72G0dbswISsR3wkkCxJy+7wCLJ6eDbeXxwNvlaPb6YHL48PZ9h7sOdmC337gD4p/dsMUZCSaJW4tkQOdjsMvb7kIZoMOe0614LW91WiyO9DpcMPr47Fu63FUt/Yg12rB4zdNl7q5qsfxI61lH4GNGzdi9erV6OjoGPQ4nueRl5eH1atX4+GHHwbgH63Jzs7GU089hR/84Aew2WzIzMzE66+/juXLlwMA6uvrkZ+fj61bt2Lx4sVDtsdut8NqtcJmsyE5OXnU748ow7MfnsRvt5+AUc9hXEYiKs8Hg2aOAzZ+bx6unJQpYQuJ3LR3u7Dkd5+g0e5AotmALqcn7OfzitLw9j0LoNNRDgUJemnXaaz71/EBf/7Gyvk0pTlCkTy/ZZWDU1VVhcbGRpSWlgrfM5vNuPLKK7F3714AwKFDh+B2u8OOycvLw4wZM4RjLuR0OmG328O+iPbcf/UELJmRA7eXF4KbabnJWLWoGH+7t4SCG9JHaoIJzyy/GHodJwQ3Jr0O+WlxuGZKFn67bBYFN6SPlZcXo3Saf2fwCy+PVYuKKbiJEVnVE29s9NedyM4O38clOzsbNTU1wjEmkwmpqal9jmGvv9C6devwxBNPiNBioiQcx+HpZRdjblEtcpItKBmfjrQEyrchgysZn44P11yJLqcHuVYL0hJMtOqFDMqg1+HlO+YC8M9MOD0+9Li88Hh9yEyi6cxYiXgE5/HHHwfHcYN+HTx4cFSNuvDmwfP8kDeUwY5Zu3YtbDab8FVXF1m1SaIecSY9Vl5ejK9flEvBDRm2oowEzBhjRXqimYIbEhGO42Ax6pGWYEJWsoWunxiKeATn/vvvx4oVKwY9pqioaESNycnxb2zY2NiI3NxgdnlTU5MwqpOTkwOXy4X29vawUZympiYsXLiw3/OazWaYzRQ1E0IIIVoRcYCTkZGBjAxx5g+Li4uRk5OD7du3Y/bs2QD8K7F27dqFp556CgAwZ84cGI1GbN++HcuWLQMANDQ04Msvv8SvfvUrUdpFCCGEEGURNQentrYWbW1tqK2thdfrRUVFBQBgwoQJSExMBABMmTIF69atwze/+U1wHIfVq1fjF7/4BSZOnIiJEyfiF7/4BeLj43H77bcDAKxWK1auXImf/OQnSE9PR1paGh566CHMnDkT1157rZhvhxBCCCEKIWqA81//9V947bXXhP9nozIff/wxrrrqKgBAZWUlbLZgEa2f/vSn6O3txX333Yf29nbMnz8fH3zwAZKSgqXzn3nmGRgMBixbtgy9vb245pprsHHjRuj1VCadEEIIITGqgyM3VAeHEEIIUR7F1sEhhBBCCIkGCnAIIYQQojoU4BBCCCFEdSjAIYQQQojqUIBDCCGEENWhAIcQQgghqkMBDiGEEEJUhwIcQgghhKiOqJWM5YrVNrTb7RK3hBBCCCHDxZ7bw6lRrMkAp7OzEwCQn58vcUsIIYQQEqnOzk5YrdZBj9HkVg0+nw/19fVISkoCx3FRPbfdbkd+fj7q6upUuQ2E2t8foP73SO9P+dT+Hun9KZ9Y75HneXR2diIvLw863eBZNpocwdHpdBg7dqyovyM5OVm1Fy6g/vcHqP890vtTPrW/R3p/yifGexxq5IahJGNCCCGEqA4FOIQQQghRHQpwosxsNuPnP/85zGaz1E0RhdrfH6D+90jvT/nU/h7p/SmfHN6jJpOMCSGEEKJuNIJDCCGEENWhAIcQQgghqkMBDiGEEEJUhwIcQgghhKgOBTgj8Pzzz6O4uBgWiwVz5szBJ598Mujxu3btwpw5c2CxWDBu3Di8+OKLMWppZNatW4dLL70USUlJyMrKwje+8Q1UVlYO+pqdO3eC47g+X8ePH49RqyPz+OOP92lrTk7OoK9RyucHAEVFRf1+Hj/84Q/7PV7un9/u3btx4403Ii8vDxzH4e9//3vYz3mex+OPP468vDzExcXhqquuwtGjR4c87+bNmzFt2jSYzWZMmzYNW7ZsEekdDG2w9+h2u/Hwww9j5syZSEhIQF5eHu644w7U19cPes6NGzf2+7k6HA6R301fQ32Gd911V592LliwYMjzKuUzBNDvZ8FxHH79618PeE65fIbDeS7I9e+QApwIbdq0CatXr8ajjz6K8vJyLFq0CEuWLEFtbW2/x1dVVeGGG27AokWLUF5ejp/97Gd44IEHsHnz5hi3fGi7du3CD3/4Q+zfvx/bt2+Hx+NBaWkpuru7h3xtZWUlGhoahK+JEyfGoMUjM3369LC2fvHFFwMeq6TPDwA+++yzsPe2fft2AMBtt9026Ovk+vl1d3dj1qxZeO655/r9+a9+9Ss8/fTTeO655/DZZ58hJycH1113nbDfXH/27duH5cuXo6ysDEeOHEFZWRmWLVuGAwcOiPU2BjXYe+zp6cHhw4fx2GOP4fDhw3jnnXdw4sQJ3HTTTUOeNzk5OewzbWhogMViEeMtDGqozxAArr/++rB2bt26ddBzKukzBNDnc3j11VfBcRxuueWWQc8rh89wOM8F2f4d8iQi8+bN4++9996w702ZMoV/5JFH+j3+pz/9KT9lypSw7/3gBz/gFyxYIFobo6WpqYkHwO/atWvAYz7++GMeAN/e3h67ho3Cz3/+c37WrFnDPl7Jnx/P8/yPf/xjfvz48bzP5+v350r6/ADwW7ZsEf7f5/PxOTk5/C9/+Uvhew6Hg7darfyLL7444HmWLVvGX3/99WHfW7x4Mb9ixYqotzlSF77H/nz66ac8AL6mpmbAY/70pz/xVqs1uo2Lgv7e35133snffPPNEZ1H6Z/hzTffzF999dWDHiPXz/DC54Kc/w5pBCcCLpcLhw4dQmlpadj3S0tLsXfv3n5fs2/fvj7HL168GAcPHoTb7RatrdFgs9kAAGlpaUMeO3v2bOTm5uKaa67Bxx9/LHbTRuXkyZPIy8tDcXExVqxYgTNnzgx4rJI/P5fLhTfeeAPf//73h9xUVkmfH1NVVYXGxsawz8dsNuPKK68c8O8RGPgzHew1cmKz2cBxHFJSUgY9rqurC4WFhRg7diyWLl2K8vLy2DRwBHbu3ImsrCxMmjQJq1atQlNT06DHK/kzPH/+PN577z2sXLlyyGPl+Ble+FyQ898hBTgRaGlpgdfrRXZ2dtj3s7Oz0djY2O9rGhsb+z3e4/GgpaVFtLaOFs/zWLNmDS6//HLMmDFjwONyc3Px8ssvY/PmzXjnnXcwefJkXHPNNdi9e3cMWzt88+fPx5///Ge8//77eOWVV9DY2IiFCxeitbW13+OV+vkBwN///nd0dHTgrrvuGvAYpX1+odjfXCR/j+x1kb5GLhwOBx555BHcfvvtg25gOGXKFGzcuBHvvvsu3nrrLVgsFlx22WU4efJkDFs7PEuWLMGbb76Jjz76CL/97W/x2Wef4eqrr4bT6RzwNUr+DF977TUkJSXhW9/61qDHyfEz7O+5IOe/Q03uJj5aF/aGeZ4ftIfc3/H9fV9O7r//fnz++efYs2fPoMdNnjwZkydPFv6/pKQEdXV1+M1vfoMrrrhC7GZGbMmSJcJ/z5w5EyUlJRg/fjxee+01rFmzpt/XKPHzA4ANGzZgyZIlyMvLG/AYpX1+/Yn073Gkr5Ga2+3GihUr4PP58Pzzzw967IIFC8ISdS+77DJccsklePbZZ/H73/9e7KZGZPny5cJ/z5gxA3PnzkVhYSHee++9QYMAJX6GAPDqq6/iO9/5zpC5NHL8DAd7Lsjx75BGcCKQkZEBvV7fJ8JsamrqE4kyOTk5/R5vMBiQnp4uWltH40c/+hHeffddfPzxxxg7dmzEr1+wYIEse4r9SUhIwMyZMwdsrxI/PwCoqanBjh07cPfdd0f8WqV8fmz1WyR/j+x1kb5Gam63G8uWLUNVVRW2b98+6OhNf3Q6HS699FJFfK65ubkoLCwctK1K/AwB4JNPPkFlZeWI/i6l/gwHei7I+e+QApwImEwmzJkzR1iZwmzfvh0LFy7s9zUlJSV9jv/ggw8wd+5cGI1G0do6EjzP4/7778c777yDjz76CMXFxSM6T3l5OXJzc6PcOnE4nU4cO3ZswPYq6fML9ac//QlZWVn4+te/HvFrlfL5FRcXIycnJ+zzcblc2LVr14B/j8DAn+lgr5ESC25OnjyJHTt2jCiw5nkeFRUVivhcW1tbUVdXN2hblfYZMhs2bMCcOXMwa9asiF8r1Wc41HNB1n+HUUtX1oi3336bNxqN/IYNG/ivvvqKX716NZ+QkMBXV1fzPM/zjzzyCF9WViYcf+bMGT4+Pp5/8MEH+a+++orfsGEDbzQa+b/97W9SvYUB/cd//AdvtVr5nTt38g0NDcJXT0+PcMyF7++ZZ57ht2zZwp84cYL/8ssv+UceeYQHwG/evFmKtzCkn/zkJ/zOnTv5M2fO8Pv37+eXLl3KJyUlqeLzY7xeL19QUMA//PDDfX6mtM+vs7OTLy8v58vLy3kA/NNPP82Xl5cLK4h++ctf8larlX/nnXf4L774gv/2t7/N5+bm8na7XThHWVlZ2CrHf//737xer+d/+ctf8seOHeN/+ctf8gaDgd+/f3/M3x/PD/4e3W43f9NNN/Fjx47lKyoqwv4unU6ncI4L3+Pjjz/Ob9u2jT99+jRfXl7Of+973+MNBgN/4MABWb2/zs5O/ic/+Qm/d+9evqqqiv/444/5kpISfsyYMar5DBmbzcbHx8fzL7zwQr/nkOtnOJznglz/DinAGYE//OEPfGFhIW8ymfhLLrkkbBn1nXfeyV955ZVhx+/cuZOfPXs2bzKZ+KKiogEvcKkB6PfrT3/6k3DMhe/vqaee4sePH89bLBY+NTWVv/zyy/n33nsv9o0fpuXLl/O5ubm80Wjk8/Ly+G9961v80aNHhZ8r+fNj3n//fR4AX1lZ2ednSvv82DL2C7/uvPNOnuf9S1R//vOf8zk5ObzZbOavuOIK/osvvgg7x5VXXikcz/z1r3/lJ0+ezBuNRn7KlCmSBnSDvceqqqoB/y4//vhj4RwXvsfVq1fzBQUFvMlk4jMzM/nS0lJ+7969sX9z/ODvr6enhy8tLeUzMzN5o9HIFxQU8HfeeSdfW1sbdg4lf4bMSy+9xMfFxfEdHR39nkOun+Fwngty/TvkAm+AEEIIIUQ1KAeHEEIIIapDAQ4hhBBCVIcCHEIIIYSoDgU4hBBCCFEdCnAIIYQQojoU4BBCCCFEdSjAIYQQQojqUIBDCCGEENWhAIcQQgghqkMBDiGEEEJUhwIcQgghhKgOBTiEEEIIUZ3/H6QBoXG8KZ97AAAAAElFTkSuQmCC", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt \n", "import numpy as np\n", "\n", "x = np.linspace(0,20,100)\n", "plt.plot(x, np.sin(x))\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib as mlab \n", "\n", "x = [21,22,23,24,4,5,6,77,8,9,10,31,32,33,34,35,36,37,18,49,50,100]\n", "num_bins = 5\n", "n, bins, patches = plt.hist(x, num_bins, facecolor='blue', alpha=0.5)\n", "plt.show()\n" ] } ], "metadata": { "kernelspec": { "display_name": "base", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.3" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }