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MockdooV1.py
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MockdooV1.py
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import logging
import tkinter as tk
from tkinter import ttk, messagebox
from ttkthemes import ThemedTk
from tkinter import *
from fake import TEMPLATES
from file import File
__author__ = "屈永飞"
__copyright__ = "Copyright (C) 2004 屈永飞"
__license__ = "Public Domain"
__version__ = "1.1"
language_list = ['en_US', 'zh_CN', 'it_IT', 'ja_JP',
'en_CA', 'en_PH', 'en_TH', 'uk_UA']
type_list = [k for k in TEMPLATES.keys()]
Themes = [
'adapta', # 自适应式主题
'aquativo', # ?
'arc', #
'black',
'blue',
'breeze',
'clearlooks',
'elegance',
'equilux',
'itft1',
'keramik',
'kroc',
'plastik',
'radiance',
'scid themes',
'smog',
'winxpblue',
'yaru'
]
fake_lan = "en_US"
i = 0
rows = []
init_val = ['id', 'first_name', 'last_name', 'email', 'gender', 'ip_adress']
val = []
rowss = []
img1 = '''
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'''
img2 = '''
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iyc0k4Op73giPvlx71jNYQgAABGP9nGtn6+lIkxxxxPxyY9t6m910ShHIgAARDziFg5bJwzWWBSmsuOJeGke3VpdybEIAAARj3gFS29rMgpT1vFEvCTjPb6PgxEAACIe8fLsz9NqF6am44l4aR7dumwqByMAAEQ84mWfM0bDaZiCjifiJXt0q8fN8QgAABGPtkWsJs3XodwdT8RLttHkzUsckgAAEPFom+/8UT3UoawdT8RLttHktpUckgAAEPFom3PdPJ0EonwdT8RLttHklF/qBIGjEgAAIh6tEUJB6/hB+mlEmTqeiJdwQk8ecWACAEDEozXBsjt6a0Q5Op6Il3D8J/dzYAIAQMSjNd5DO3SYiZJ3PBEv4ThXz+TABACAiEdrHIsn6bMUpe14Il7KGTdQCAY5NgEAIOLRvKjfZ8nM0G0sStjxRLy0Eyy7w+EJAAARj+YFSop0HotSdTwRL+14D+3g8AQAgIhH8zx7NtKLknQ8ES/tOBZP4vAEAICIR/PsczPpRUk6noiXdiyZGVGfhyMUAAAiHk1FHDZiUaqOJ+Iln8DtqxykAAAQ8WjKf+0cpShVxxPx0m80uXMdBykAAEQ8mnLvWEMpStXxRLzkY541OhQKcZwCAEDE4x/ss0dTilJ1PBEv/WRmGB89pOMBACDi8T8Rp51MlLDjiXg5pubccaPRSMcDAEDE47nAzUs0ooQdT8TLMbXb1xgMhpqamkgkwjELAAARD3aIl7jjiXhZNprMHW94xmw2C4LAYQsAABGvd/bc8TSihB1PxMsyWf0NlRWxjrfZbBy2AAAQ8boW9XksBKKkHU/Ey7Us/tIZw385nU4OXgAAiHj9Ct65Th1K2/FEvFzL4ndtbIj46upqn8/H8QsAABGvU54D+dShtB1PxMu1W/yiSYZ/YrMaAACIeJ1yLJ1KHUrb8US8XDN+kKGqqnHEm0wmbnIFAICI159IRAwj6lDajifi5RvjraImF+O5yRUAACJed0JPHtGFknc8ES/fmA7tMrzA7XZzLAMAQMTriO/8UbpQ8o4n4mVcFr9hoaE5wWCQwxkAACJeL9z5K+hCyTueiJfxkU8z/2g24lkcDwAAEa8j9tmj6ULJO56Il3EyM4yPHjbb8Q6HgyMaAAAiXvsEj5vHPMnR8US8vI98uni62Yivrq72+/0c1wAAEPEaF7x3kyKUo+PH9PyeiJfx3tbdmwwtMBqNkUiEQxsAACJey7xHd1OEMnU8ES/jva3Lpxtaxo6TAAAQ8RrnXJ9LEUo+2zN6d37W8cM/+45XQ5aZ/LOhVT6fj6MbAAAiXrNsOSMoQjnmr69/ECN+8KdEvFxjKLvfSsSzqAYAACJeswSPixaUaXR4Y2vN6H73R/yYun/chZOtX4y32+0c4wAAEPEaFCy9TW0T8ZJM5R99+338XZd3e6Ws401781qP+Orq6kAgwGEOAAARrzW+UwXUNhEvScH3/eg78c/7n+69DH/2TdG9ravnGNrC458AACDiNci1ZSm1TcQnOY//6JfxcX3Bf9/9u7KRfVP2z7VMH2mIg8vl4kgHAICI1xT7nDHUNhGvxoJ//tzWivJ4Oj4cDnOwAwBAxGuEEPDzrFYiXq0FH7u39er5eCKebeMBACDitSNUWUZqE/HqLfj6e1sP/m2ID3e4AgBAxGuE/8opUpuIV2/Bi1ObtyzOiDeZTBzyAAAQ8VrgKdhKahPx6i34+g1qFk0yxM3tdnPUAwBAxKuec+1cUpuIV2/B129Q89ew+CPeaDSy3SQAAES86tmmjyS1iXj1FnxsDA8fxN/xTqeTAx8AACJexdiahojXQMGLY7xy1tAebDcJAAARr2KhJ+V0NhGv9oKv32Xy4M52RTzbTQIAQMSrmL/oLJ1NxKu94Os3qNmyvF0RX11dHQwGOQMAAEDEq5Ln4HY6m4hXe8HX39u6eLKhnSwWC2cAAACIeFVybVpEZxPxai/4+oif+puh/Xj2EwAARLwq2Rdk09lEvNoLvn4yM4xVVVyMBwCAiNcF68Sf6GwiXvUFH9ug5k4xF+MBACDitU/wuIhsIl4bBV+/Qc2FkwlEvNls5lQAAAARryahxw+JbCJeGwUvjunQLkNC/H4/ZwMAAIh41QjcuEhkE/HaKPj6XSa3rUos4rkYDwAAEa8m3uN7iWwiXhsFL455xUxDolgZDwAAEa8a7h1riGwiXhsFX7/L5OwxCUc829QAAEDEq4ZzzRwim4jXRsHXR/zEnwxJ4AGuAAAQ8epgzx1HZBPx2ij42BiePE444q1WK+cEAACIeBWwThpOZBPxmin4+q3i795OOOKrq6tDoRCnBQAAiHhlC4UsRDYRr6GCr98qvuhCMitq7HY7JwYAAIh4RYtYTRQ2Ea+lgq/fKv7UoWQivrq6OhwOc3IAAICIV65QRSmFTcRrqeDrI/7AdkNynE4nJwcAAIh45QoWX6GwdR7xGiv4+uc9bV+TZMQbjUZBEDg/AABAxCuU/8IxClvPEa+9gq9/3tOGhYakeTwezg8AABDxCsXjWvUc8Zos+Por8StmJB/xJpOJ8wMAAES8QnkKtlLY+ox4rRZ8/ZX4hRMNUvD7/ZwiAAAg4pXIvWM1ha3DiNdwwdc/tHX2GEki3mKxcIoAAICIVyLXxoUUtt4iXtsFXx/xU34xSIQHPwEAQMQrkXPFdApbVxGv+YKvn/GDpIp4h8PBWQIAACJecezzx1PY+ol4XRT8szFUPZGq41Oz12QkEgk/EwqFxH8V/yN7XAIAiHi0HPGz/qSwdRLx+il4cYyPHkoV8TLtNSk2ejAY9Pl8brfb6XS6WuD1egOBAE+QBQAQ8fgH2/SRFLYeIl5XBV9/Jb7svlQRX1tbK+1BJxa5mOathHtL/H4/NQ8AIOLxLOKn/kphaz7i9Vbw9VfiS+8apBMMBpM/1gRBCAQCrqR5PB5utwUAEPF6Z500jMLWdsTrsODrI/5usYQRb7PZksx3v9/vkpSY8lyVBwAQ8TqO+AmDKWwNR7w+C74+4m/fMEgqEokkdoiFQiG32+2Sh9fr5f5XAAARr0eWrAEUtlYjXrcFXx/xN69KG/FiLrf34BLzWvy7XPKTZLUPAABEvKoinsLWaMTrueDrI/7aJWkjvr23t4bDYVcK+Xw+LskDAIh4PUV8Vn8KW3sRr/OCl+NKfLtubw0EAglsPpMkt9ud8JofAACIeJVhTbz2Ip6Cl2NNfJxPb03ZEpqWsHENAICI10fEszuNtiKegv/v7jS3JY94o9HY+pIV8a96PB5XWjmdTpbIAwCIeO2zTf2NwtZMxFPwMu0T38Dn87V0KEUiEfl2oUngsVCc3AAARLymI54ntmol4in4fz6xtVSOiLdarS0VvEth6HgAABGvZfbZYyhsDUQ8Bd/0SvyjcoM8Xrx5VIEFT8cDAIh4jXMs+ovgU3vEU/BNJzPD8PSpTBHv8XhUUfB0PACAiNcy59q5NJ+qI56Cf3Esf/1kkI3ZbG44fARBUM46+JYEAgFOdAAAIl5rXPnLaT71RjwF33zEzxglX8RXV1eHw2G1FDz71QAAiHht8uzLo/lUGvEUfEtjnp9tkJNYxuKxk9794Nvb8bFfPAAAIOI1wntsL82nxoin4FuL+BUzZI14k8nk8/lcasPzXAEARLx2BC4ep/lUF/EUfBsRv2GhQWYOh0N1Ee92u6PRKCc9AAARr4mIL7lG86kr4in4Nqf273VyR7zFYnGpkNfr5aQHACDitSBc/ZjmU1HEU/DxjOnIHrkjvqamxqVObFYDACDitUDwe2k+tUQ8BR/n1Fw6Y5CfGlfUxG5yDYVCnPoAAES86lknDSP7lB/xFHw7Htd693YKIl6lK2piBEHg1AcAIOLVzbEgm+xTeMRT8O16XKuxqioFEa/eFTUsjgcAEPFa4Nq4kPJTcsRT8O170tPUXw2potIVNTE8AQoAQMSrm/fgdspPsRFPwbc74pdMSVnEW61Wl5qxczwAgIhXscCNi5SfMiOegk9kf8n8VSmLeJPJpOqI93g8nAABAES8WoWNVZSfAiOegk9wf8lj+w0p5HQ6Vd3x7DgJACDiVSsSsYwbQPwpKuIp+MS3prlxNZURr/YVNeIvISyqAQAQ8Wplnz+B+FNOxFPwiU9Wf8OTx6mMeLWvqGFRDQCAiFcx97aV9J9CIp6CT+qu1pl/GFLLaDS61I+dagAARLwq+c4dpv+UEPEUfLJ3ta6dZ0g5m82mgY7n8U8AACJefcJPK+i/tEc8BS/BXa2HdqU+4s1mswYi3ufzcSYEABDxahOJWCcMJgHTGPEUvCRTc/t66iNe1Y9ubXyHazgc5lwIACDiVca5cgYJmK6Ip+ClmeyhhqdPDemg6ke3cocrAICIVzHv4Z1UYFoinoKXaszLcgxpovaNJrnDFQBAxKtV8H4xFZj6iKfgpVwQv2dzuiK+trbWpRXc4QoAIOLVRAj4eeRTiiOegpd4Qfy1S+mKeG1sNMkzXAEARLwqOVfOJARTFvEUvMQ7xE/8KV0L4mPsdjsX4wEAIOLTwHe6kBZMTcRT8NLvEL9mriGttLHRZIzf7+d8CAAg4lUjXPOUFkxBxFPwsqylObY/vRFvMpk0E/FOpzMSiXBKBAAQ8aphmz6SHJQ14il4WSYzw1hWakg3sX010/E8+wkAQMSriXvXOopQvojP/uoHCl6WzSXnZhkUwGazcTEeAEDEIw2CZSUUoXwR/1mXXhS8LJtL7t2ihIjX0rJ4LsYDAIh4VREE25RfiELJZ1Pf+ogX54fu35WPouAlHuPd20qIeC1tNMnFeAAAEa8y7l3riULJZ+a3P4gF/0nnXhS89JtLKmMtTYzD4eBiPACAiEcaBB/epQsln/z/ronnpZB+c8mCfOVEvNVq5WI8AICIRzoIgm3ab6RhCp7YymhpLY0ml8VzMR4AQMSriWffZtKQiFfHvjTzsw1KUlNTo7GIdzqdPMAVAEDEq0PYWEUdEvHq2Jcm3c940vZu8TzAFQBAxKuMY8lkApGIV/pMGGyorFBaxGtpt/gGXIwHABDx6uC/cppGJOKVfkvr5qUG5bFYLNqL+EAgwFkRAEDEq4AQ8Fuzh5KJRLyib2m9cVWBEW8ymbQX8W63m7MiAICIVwf3rnVkIhGv3Fta52QalMqlRaFQiLMiAICIV4GwqdpCLBLxir2l9XiBYiNeY498ivF6vZwVAQBEvDo4184lFol4Jc7knw1VTxQb8Rp75BMPfgIAEPEqEywroReJeCVeht+31aBg2nvkE3tNAgCIeJWxL8gmGYl4pe0saXz0UMkRr8l7W2Oi0ShnRQAAEa8CgWvnqUYiXlk7S+avNCib0WhM7JFP9+6VrV61lb0mAQBEPJIWidhm/EE4EvEKGUvWAOP9O9I2d3V1de68VROz50r4Pe12ewKJfLDwRJ/eI9hrEgBAxEMCPPiJiFfQZfi8ZZIX/IzpS8R3Z83qrWm/t1X5Ec9ekwAAIl49BME+Zwz5SMSnf8YNND64J23Ez52zQnxrlixer4R7W1UR8ew1CQAg4lUjcJ2V8US81lbD11+Dz1kiR8EnfG+rKiLe6XQKgsBZEQBAxKvkYnzuOCKSiE/njB9kLCtVRcEn/NxWVUQ8t7cCAIh4VV2ML75CRxLx6dwbfvtaFRV8Ys9tVUvEc3srAICIVxPH8hxSkohP2yNaKx6pqOAT26BGLREv4umtAAAiXjXC1ZWWzAyCkohPw2X4Y/vUVfCJbVCjoojn6a0AACJeTdx/ryEoifgUj3luluHpU3UVfGIb1Kgo4kWcDwEARLxqRFwO68ShZCURn8qpuXpekoKfnrM4ZQWf2AY16op4NowHABDxauI7XUhWEvGp21ZyzVw1FrzIaDRqO+LZMB4AQMSr62p8xLFoInFJxKdiJg41lt2XquCXLtlgSC1tRzwbxgMAiHiVCVc/tmT1JzGJeNnvZz26T70Fn8AGNeqKeFEwGOR8CAAg4tXEcyCfxCTi5b2fddEkscHVW/Aim82m7TWjo4MAACAASURBVIj3eDycDAEARLyaCMGgfdafhCYRL9NYxg0w3rml6oJPYJdJ1UU8K2oAAES8+gQf3rGQm0S8TPezFuSrveAT2GVSdREvCgQCnAwBAES8yngKtpKbRLz0C2kW/pXMxvAKKXhRbW2t5iOeFTUAACJehUIh+/wJRCcRL+VCmuyhxtK7Gih4UU1NjeYjnhU1AAAiXpXCNU+t4weRnkS8ZDvSnDqkjYJPYKt4NUY8e9QAAIh4tfKdP0p6EvHSLKTZuEgzBZ/AVvEqjXie+gQAIOLVKRp1bVhAgBLxyS6kmfmHobJCSwUvcjgcmo94p9MZjUY5EQIAiHj1Efw++9xMMpSIT3wmDDbevpFwwedMW6TAgtdJxLOiBgBAxKtY2GSwZg8lRon4RCYzoybRpfANBb9s6UaD8rTreU/qjXhW1AAAiHgVC9y+ys7xRHwiu8JvX6PJgtdPxLNHDQCAiFc3do4n4tu9FH7xlMR2hVd+wbf3oa3qjXhRKBTiBAgAIOJVSxBcG+YTpkR8vAU/Y5SxvEyrBS+yWCw6iXifz8f5DwBAxKs544NBx+JJ5CkR33bB/zXMeLdYwwWvq4h3u92c/QAARLy6RZw22/SRRCoR39qMG1hz7ZK2C15kNpt1EvGiSCTC2Q8AiHioW/2TXCf+RKoS8S1tR2M6Waj5gtdbxAcCAU59AEDEQ/WCZSXWcQMJViL+xTEd2KGHghfduHFbPxHPRpMAACJeKx1/v9gybgDNSsT/o+B3b9JJwYu25e/dvfuQTiJexEkPAIh4aET95vGZGUQ8Ef98S/j8lfopeNG9e6Xdu/Xetm2/TiI+HA5z0gMAIh4a4S86ayHiiXix4DcuEntcPwUfWxN/6uSFODteAxHv9/s54wEAEQ8NdfyFYxYiXt8Rb0604KdNVWvBN9zYGmfHayDiPR4PpzsAIOKhKYFr53W7roaIr81bmkzBL1+myoJvvE98PB2vgYh3Op2CIHC6AwAiHtrq+JuXLFn9iXjdFfyOtfos+CYPe2qz4zUQ8SyLBwAiHtoUundDh/tO6jniTWLBJ3QnqwYKXmS1WhsHbusdr42IZ1k8ABDx0KZg6W1r9hAiXvNjEQu+cIeeC15ks9maNO7zjs/fp9WIZ1k8ABDx0KyI8Ylt+kgiXstLaDIzcvoM0HnBi+x2+4uZ21LHayPiWRYPAEQ8NN3xDptjQTYRr81r8H8N25Qzp2ePQToveJHD4Wi2dJvteG1EPMviAYCIh8YJAb9z3TwiXmsFP32k8W7xnNkr2hvx2it4kdPpbKl0X+x4zUR8IBDg/AYARDy0fUE+4tmzkYjXzmbwi6cYH5WL8dreiNdkwRuNxtZjt0nHaybivV4v5zYAIOKhfcEbF6zjBxHx6p7MjNqtKw1Pn8b6tV0Rr8mCF9XU1LTZu407XjMRL+K0BgBEPHQhXP3YNutPIl6tkz2k5syRxv0af8RrteBFtbW18fRuQ8drKeIjkQinNQAg4qELgt/r2rCAiFffIviZfxhv32jSr3FGvFjwORot+CZPeoqn43OmLdZMxAeDQc5pAEDEQzeiUd/Zw5ZxA4h41SyCX7/A8LjyxX6NJ+IbFfwmgxa9uEl8K04cP9f1/R++/HKwNiLe5/NxPgMAIh76EjZW2XPHEfFKvwCfPdR06lBL/dpmxGu+4FvZX7IlSxZt+Pyz/tqIeB75BABEPPRICAU9ezdbiHjFFvySKcYH91vp19YjXg8F3+bWNAp/YuvyZZv37z+azCOfOI8BABEPnQrevWGbNoKIV9ZMGGw6sEPM8NYTtpWI10PBx7k1jWIjPnfe6h6fD7xzp5R7WwEARDwSuiTv92rgkrxmIt68aJLxbnE8CdtSxOuk4EVms1mlEb9o4fovPhtQXHw3ye8TCoU4gwEAEQ9dC1WU2udmEvHpXD8z8SfTkT1tXoBvPeL1U/Aiq9WqxoiXquBFfr+fcxcAEPHQOyEU9B7eaR03kIhP/VOczOsXGMvL2pWwL0Z8rOA7v9trzZqtBh1o712tSoh4seB7fD5QkoLnua0AQMQD/xOxW935KyxEfMouwOeOq7l2MYGEbRLxqS/427fvFB44siXv7zWrNy+Yv2LF8g3r12/d+fe+CxcuP3lSpcC7WtMe8bGCv337nlTf0O12c8oCACIe+J/Q44eOJZOJeHnzfcov7Vo/00rEp6zgz5+/tGjRqox+v77Z6dOX/u/9lubljt2++LxP9oQZu3cXVFRUKmRBfHojXvKCj21QIwgC5ysAIOKBRgTBf/mULed3Il76yR5Su3tTs49wSiDiU1DwZWUPVyzf0LPHj62Ee0vT6Y1PMsdOPX3qXBof85T2iJej4GPC4TDnKgAg4oEXhMP+yydt034j4qWZ8YNqt640PHyQfMXGIl7ughfzfeaMhWKIJ5DvTabvjz+fOH5Gqh8sseRNS8TLV/CiYDDIWQoAiHigBaFQfcpP/ZWIT3zxTNaA2s1LDWX3parYWMRPm7pQpoIXfz1YuXLj2299lny+N0zHDl0mZs+srEx2gY3JZFJLxMta8KJAIMD5CQCIeKA1QsDvO3vINmMUEd++fM8eatqx1lhWKm1kz561vPsHvcWCX7smX/KCv3mzuO+PP0uY742n939+eviwPMWbS6Yl4hctXCdrwYt8Ph+nJgAg4oF4Wl4I3rnuWDKFiG8736eNqN2fb6x8JMdCl5+HTRD/yHIUfGHhUWkvwL84A/qPSPHmkqmP+BQUvMjj8XBOAgAiHmiHUPk914YFlswMIr6ZB68uyDadOmR4+lS+jWImT5r/6ccZkn/bNas3v/LyB7IWfGw2b96e4rU0qYz41BQ8u0wCABEPJCjitPtOFdhm/UnEx1bO1G5eWlN8PQXbtDf7xNYkrVi+vsNLXVJQ8OJ8/VVGitfSpCziU1bwsV0mOQsBABEPJCoaDZaVuLYstY4fpMeIz+pvXjzFdOqQsarKkCqSR/z69VtTVvDPbnLt+uTJkwSe8SRmq5IjPpUFH8NW8QBAxAPJEoLB4J3r7vwVKa759ER8ZoZ5wURT4d8S7jmTrog/fOj4yx27pazgY5PANjW1tbXJ9K6sES/+djF39soUFzxbxQMAEQ9IKer3+YvOOtfnpqbmUxrxWf3NC/8yFe4wpqPd5Yj4kpK773f+MsUF37XL1wn8qHa7XZkRn66CF4VCIU44AEDEA1KLRMIVpZ6D2xyLJlpUHfGTfzavmVtzvMBYUW5QAAkjvl+/X1Jc8OJMmzqvvT9nTU1Nkr0rU8SnseDZKh4AiHhA/p63mf1XTrm3r7LPHqOOiJ/yq3n1HFPhjprb1w0KI1XEb8n7O/UF37Nn3wS2ik/mllb5Ij69BS/y+/2cWwCAiAdSFfQuR6CkyLN/i2N5jnXiT0qJ+PGDLLnjavOW1l9xv1diUDBJIl4s6VQupHnj9Y979Ro0b96yR48qErilNfnelTzi017wRDwAEPFAOgl2c+jeDf/J/a4tS+0Lsq2ThqUi4sVknzXavGp27a6NNacPG+8Uy7qzuwIjfuGClSlo97f+9dGq0RPLd+2pTuLltVgsSot4JRQ8D20FACIeUJao3xeurgyUFPnOHvLs3+LettK5bp5jyRT77NEvJn6LEZ89xJLzuyV3vHlZTu26+bVbV9bu22oSe/36ZcPDBwY1Sz7iKysrO7/XU+6Cf7lD15LV6+sOHRLHdetWYj9qkjtLyhHx4s8jvgVpL3iR1+vldAEARDygHpFI1OcRJ2K37MvfLUb8jL9yfcanxory+ntPq54YNC35iF+/fmsKLsP/+t2gWMGLEz1ypObx4wR+VLPZLEnvShXxDQVfku6CJ+IBgIgHVGz//uNixM+cvkz89xaLxaADyUd83x9/TkHEz/8tsyHixfFcu5bAjyrJZXipIl5RBS/yeDycAQCAiAdUH/GhUKi6upqIb3Nv+I4dUvF81mlDRjaO+OjRo8Z2royXZDW8VBGvtIIn4gGAiAc0EvEiq9VKxLdu3botqdmRZvi3AxpHvDj2u3dTvxpekohXYMET8QBAxAPaifhwOEzEt+73ERNSE/GdXvswsL+gccT7Ll1K5d7wUkW8MgueNfEAQMQD2ol4kZhcRHwrPvqwV8q2hz81b3HjiBeOH0/ZI1qlinjFFjwRDwBEPKCpiBcEwWg0EvHNevLkSccOXVMW8WP6DGuyoqbmSVx7B9ntdiVEvJILnogHACIe0FTEi8S4IeKbde3azZQVfP2DWl/tHj5woHHEWx4+bPOHrK2tlbx3E4h4hRc8D3sCACIe0FrE12n6DtdkIv706fOpjHhxbq1c2zjirffvt/lDOhyOtEe88gte5Pf7OQMAABEPaCriNXyHazIRf+LEmRRH/KGZuY0j3tbWBjXS3s+aWMSrouBFgUCAMwAAEPGApiJe5Ha7ifgmTp48m+KIPzJrfvxX4k0mk0y9G3/Eq6XgRcFgkDMAABDxgNYivk6jz3BNJuJv3iyWJM27v/PF9598/3X3bzu+1Npzo17t2NW0/e9/rIkvK0vB81kTjnjxB5g9a7kqCl4UDoc5AwAAEQ9oMOIjkYj2dqpJbneaqiQf1zr82wGlazc2RLln774TcxaO7jPs9Vc+aPKVHV7qsilrSvy709hsNvl6N56IV1fBiwRB4AwAAEQ8oMGIF/n9/urqaiK+Qc8efRMu+EW/j4sePNiky2Pj3bvv0MzcGT/9MeSbjMFfZ8z+efStFWubfI1w7Fgqd6RpV8SrruBFHP4AQMQDmo14kcPhIOIbTJs6L7GCH9t3eLP5Hv/4W3hiq+SPdmpvxKux4D0eD4c/ABDxgJYjXmQ2m4n4mCNHTiZQ8G/96yPHrj1JRrz9zp2U7SkZf8SrseDZJB4AiHhAFxEfiURqamqIeFFVVdWH3Xu1N+Ln/TImyYKPHjlirKpK8VL4NiNepQXP/pIAQMQDuoh4UTAYJOJj1q7Ja2/EF69cm2TEe65effEnsVgsqUneZiNevQXP1jQAQMQDeol4kc/n08BNrslH/JMnVd26fRN/wXd86f1gwYGkLsMfPmx6/DjFN7O2HvH/K/iS+6orePGHZ2saACDiAb1EvEgMICJetH37nvgj/vVXPkjyMrzrxo0Xn+sk367wbUa8qgueu1oBgIgHdBfxIrvdTsSLxoyeHGfEv9vpk2QKPnTqlPGf/wdITU1NKgu+ScSrveBFfr+fYx8AiHhAXxGv9o6XKuIfPar44vM+8UT8ay93Ew4mWPDCkSO1lZWN/7lGozHFBd844jVQ8CyIBwAiHtBpxItsNpvOI1505869ODvemL89saXwlrKyJgWfgg0lW4p4bRQ8j3kCACIe0G/EC4JgsVh0HvGikpK7n3/Wu82Iv7BwWQJ7SlofPFBCwTdE/KyZWih4r9fLgQ8ARDyg04iPdbzVatV5xIsePiwfO3ZK6xG/5Pdx7Sr48MmTtY8eKaTgRYUHjn/6SYYGCl4UDAY58JF6gUDw+LEzOTnzfx6e2fs/w8Rf/r/rNWTQwJHjxk3ftGlHUdEtVnkBRDyQooiPUd36eMkjPmbLlp1vv/15SxHf94s+8Rb84cPeoiLj06dpXwff2OqVW7q8//29uw/UXvBsLonU8/sDa9dsee/dnq3/qi9+wdQp827eLOEVA4h4IBURL3I4HES8qLz80dKla9/v/GVzW8V3se/a3WbB+y9cMP/zAnzqd5Ns1xNbWUsDtK6i4sk3X/dv17Phfvh+6IGCo1yYB4h4QPaIF7ndbrU8B0q+iI+prKzMz981atTEzu/948LbvqmzW1w8c/q0+8aNJrvQNBS8EtpXMxEfCoU46pEyDx6Ut3kBvqXp2uXrvLydpDxAxAPyRnzds+e5EvGNPX1aXVR0vbDw6MaN25YtW3frwmXbvXvOW7fc16+7r10Tq915+7b1wYOaJ09a+g5ms1kh7auZiOeQR8q43Z5PPv4+sYJvmB49+p45c4kXEyDiARkjXhQMBmtqaoh4SVitVuW0rzYinmc8IZVyc1ckWfANM2zYGJPJzEsKEPGAXBEvikQiCt96UvkRbzQabTabovJXAxHvdDrFDyeHPFLD7w+8/dbnUkV8/YOf3+lx8uR5XliAiAfkivgYMZgUu0Re4RFvMpnSuJWkhiOeW1qRSjdvlEhY8A0zPWdBIMAeqQARD8gW8c8uRPmVubRGyRGvnEXw2ot4bhBEKu3deyj+NH/t1Q979ujbvfu38Xxx/4wRbreHVxgg4kHEyxXxdc+W1ijwaVCpiPinT41XzpmOF5iO7Gllao4X1Fy/ZHj2f1kYjUa73a7YAlZ7xHs8RA9SKi9vZzxF3uX9r3btOtBwt4bd7ty0cUfXLl+3/ne9/dYXEyfOXrMmr7DwmM3m4NUGiHgQ8bIQ+0ksVP1EvPFusSV3nHVsvzjHMn+CueKhwiNY7RHPzpJIMTGv49l5xmy2vvj3ut2eGdMXxnkVv8NLXfpnjNi//zBPMQOIeBDx0otEIjabTQ8Rb6yqssweE3/Bx8a2eLIr3Y9z0nDEcxkeqXfr1p3W4/uDbv82GGpa+Q7nzl1u9slxLc2/vxl48WIRrzxAxIOIl57P51PCKnlZI77m2P72FnxsHLeuEvGshodmiJ+6Tm980kpzFxYea/07FBXdevedHm3n+//3j/+4dMm6aDTK6w8Q8SDiJSYIghhVGo742r/XJRbx9hMFRDyb0kBLRv6e3VJ5f/PNgNZTe8/uwo4duia2g824rByW1gBEPIh4ua5R2Wy2dO1BKWvEmw7+neCV+KtniXj2hoeWnD17qaXOXrVqcyt/Y1HRrVde7pbMTpSLFq3m9QeIeBDxcgmFQmlJeXmX05w+bM3s3+418VN/c1ktRDyPaIWWCILw+We9m43sO3dKW/q7jNWmd975Ivkd5Y8ePc1bABDxIOJlFAwGrVZrKlNepog3lj+sXZebyGX4rP72fVtcynvAk9oj3u12s6gA6XWg4Gizhd3Kr5djx06V5LFQXbt8xS+xABEPIl524XDY4XCoN+KNN69apvya2EKa5xfjF050PrxHxEu4kIb7WZF24q+R33zdv0led36vZ0tff/9eWYeXJHu86+rVebwFABEPIj4VIpGImF8mk0ldEW86f8I6flAyBf98xg1w7MtzKfKRT6qLeJ/Px9ENJThx4lyTtv6we6+WvnjC+BlSFbw4nTp9yk41ABEPIj6lAoGAfPvKSxvxNZfPWscNlKDgG+8ZX2Mg4llIA83o3XtYPBEvfmjfe6+HhBEvTlHRTV5/gIgHEZ9q4v+k+Xw+yWtewog33rgizTX4Jh0/a7SzspyIZyENtOHixavxRPyN67elLXhxMjOn8foDRDyI+LSJRqNer1eseaPRqKCIf/jAMvU3yQv+ecdP+UVRHa+iiA8EAhzXUJq+P/7SENbdu3/b7Nfs3lUo/tXXX+725isfSBXxP/b5mRcfIOJBxCtCKBQSQ81isSQc9MlEfHV1dW1trcPh8Pt8jhUzZCr45zNjlNNYTcSzFB4acOTwqUb7xnzd7NesXLlJ/Ks/ffztyh+H/vxxrzdeliDlf/h+KC8+QMSDiFdi0Hs8Hrvdbjab42/69ka8WO02my12ibdhpbXv/FF5Cz52PX7+BIXsH6+KiGcpPBQrHA53fq9nLKzffuvzZr9m1qzF4l+d9/3A9RnDxFnVd+jIz7/v3umTZCK+R4++vPgAEQ8iXgX/Myl2tpj1TqdTzG6x7E0mkxj3TTahbzbixS8Tv1jsdavV6nA4xBz0+XziLwnN/oMEu1nam1lbGfu2VUR8nHg4K5Rs/H93nnnt1e7NfsHy5RvefOWDWME3nlm9+v/Y9avXOnZtNtM7/N/7nZpbfvPmswv5LKcBiHgQ8eoWjUbFwgs/s2jh+q++HCIGeuw/JnDt1rV+XmoKvn4yM5w3LhHx3MwKtSssPNZQ2M2ednbuLPio0ycvRnxsVvcbOvGrvv27fd3t9Y86/LPXf/roWzH0f//s+4Hdv/nh/Z4DPvh6yjf9+nf/RvxLo0ZN5JUHiHgQ8RqxdMkmMeIT/tvDFfdTV/CxRTU5I1zmWiK+lYJv6f8zAZSj/GFF609svXz5+lfvftFSxDeepb0HZ/boLSb71+9+0fX1j155qeu4nr2bfM1vn3wn/oNyc1fwygNEPIh4Ir6ePTcrxREvjqMgn4in4KFq4XD45Y7dYhFvszma/YLvPvgmnohvMuv61Wd9k/9y+Me9nu0Tf4tXHiDiQcQT8XXhitLUF3z9TBzqMpuI+BcLPhgMchRDLd595/mznGpqapv9guzfsxOI+GYno9vX77zzBbd6A0Q8iHgivp5z5az0RPzYfvbC7UQ8BQ9V6/7Bt7GIf1xZ1ewXXDx7cV0/aSL+y3e+mM9aGoCIBxFPxIsiDqslTQVfP5N/djkcRDyraKBe73f+MhbxpaUPW/qaRQN+Tr7gV/cb2vntL5xOF685QMSDiCfi67xHd1vTGPFj+zmKrxLxMexFA9WJRqMdOzzfJrK4+G5LX3Zy07bkI37Cl322bdvLaw4Q8SDiifi6OkGwTR+Z3oi371hNxLMfPFTKaDQ17E5z5cr1lr4s6PNtGDIimYJflzFsyp9/8YIDRDyIeCL+2f+y3rme3oKv32ty6q8up1PPEe/xeLhRDyp15Miphog/e/ZSK19558iJZCJ+dr/hgQC3iwBEPIh4Iv4Z15alaY94cZyPH+k24n0+Hwcs1GvWrMUNEX/s2JlWvlL8TfXY/KUJroYf9KvTauPVBoh4EPFE/DORiHXSMCVEvOPKGX1GPBvRQNWi0eiH3Xs1RPyBgqOtf33Q69s7YWq7F9IM+tVW9ZRXGyDiQcQT8f/9H9SHd5RQ8OK4Du90pmNFTRoj3uPxsAgeanflyvWGghdn586CNv+WsN9/bMGy+At++x8T7NUGXmqAiAcRT8T/j2ffZoVEvHv3erFo3W63HiJe/HUlEAhwkEIDhgz+o3HEb92yK56/SxCEO0dObPn5z9bzfcPAXy7lbQ+y3gwg4kHEE/FN2Gb9qZQr8RsXxn4ksW61HfFcgIdmXLt2q3HBi7NuXX78f3vQ67tdeKRgyqwX833n2IlXt+1ymsy8yAARDyKeiG8qbKpWSMHX39i6ZnbDDyY2rtfr1WTEswIemhEIBL/s2a9JxK9dsyWBb+V3uWvLHz2+frPiyrWa0jK32crLCxDxIOKJ+Bb5zh5WUMSvnt30d4xwOAWra1IT8U6n0+/3s4kktKTxpjQNs3p1Hq8MQMQDRLy8Ee9cO1dJET+z2R9S7pSXO+LFfPf5fOQ7NObvHftfLHhx1q/P58UBiHiAiJcz4kMh64TByol41wtX4hsLBoMypbx8EU++Q7tn18MdO3RtNuLFv8TrAxDxABEvY8QHy0qUU/D1D22dNExoa714KBTyeDyqiHgWz0CTotHomjV5zeZ7bC5eLGrXNxQPE/Ggrq2tffLkSVlZWWlp6YMHDx49elRTU+P1ennBASIeRDwR35SnYKuiIr5+l8ltK+P5ySORiJjIyox4MUeCwSD5Dk0ym81Dh/zZSsGLYzSa4rqIEAwajUYx2a9fv17UspKSEvEfyisPEPEg4on4/7HnjlNaxIvjv3As/j9vKBTy+XxKiHi32x0IBGh3aJXH4126dF2nNz5pveC/+LxPm99KPFIqKiquXr1aFLe7d++Kv7fzLgBEPIh4Ir4u4rRblFfw4liyBoQqH7T3Dx6r+cQWzScc8U6n0+PxiEXCpu/QqnA4fO3arcmT5r7Z6dPW8z02K1duav0bWq3Wa9euFbXf9evXxYOOdwQg4kHE6z3i/VfPWBUZ8fWL46eNiLgcib0CYk8Hg8F2BX17I14Md7/fL/7awHV3aEw0GjWbradPX1izJm/qlHmDB4964/WP42n32HR5/2u329P0VOP3GwyG8vLyR48ePXjwoCg5FRUVXJIHiHgQ8bqOeNeWpYqNeHEcS6fUhcNJvhpiZIfD4UAgIDa9WN5i1judzvZGvPg3er3eWLVzxR06Yaw2bcnbNXDA7x1e6hJnwb/6ygdFRbea/EpQVVVVJAPxtwLeI4CIBxGvy4gXBOvk4UqOeHE8+2V5ZIxY9mKLi3EfeiYYDB47elaM+OAzsf9e/Ffxa7jQDpjN1ry8nX36DO/wUmsF/8nH39+8UdLk7338+HGRbKqrq3l3ACIeRLzuIj70pFzhBR+bwM1LKXjRTp64+GOf3zlegFZYLLZduw5kT5j5/XdDXv/XR6+92v3ttz7/oNu/f/0la++eg+Lvv02+3u12t+vW1QSwrgYg4kHE6y7ivcf2qiLirRMGh41VRDyUY8/uw33+M+LTj/sxrc+mjduKZDZ3znIdvrD9fhx15MhZjkQQ8SDidRrxjsWT1BHxY/vZZ4+J+n1EPJTg4oXr4imFaXO+7DFI7svwos2btuvz5e387rclt0s5HkHEg4jXXcRHXA6LSgo+Ns71uXXRKBGPtFswfy2BHs/MmbOsSH779hbq9hVeu2Y7xyOIeBDxuot4JW8u2dJ4j+8j4pF227cVEOhtzgdd/3P27LkURPzRI8d1+yIfOnia4xFEPIh43UW8a9Mi1UW8ZWy/4L2bRDzSy+8P/vLzRDK99cnKnF6UEuKvCvp8hceOmRFOegdeEPEAEa+2iA+HrdlDVRfx9TNpmGA1EfFIL0EQ7t8vv3r1liRTeOBkkz47dfKiVN88PXPllvyL4Z+7cuVK0dViBb4IBwpOyPe2lpVVRuVcXggiHiDiFRrxwdLbqiz42E2u88cLwSARD814/Li6Se3ZbE5V/4kcDkdRCinz+WuVlVVN3la73cmnHUQ8QMQnFfGefZvVG/HiuPKXE/Eg4hWrtLQ0lREfCASIeICIBxGvi4i3zx6t6ogXx3/xBBEPIj5+wWDwQMGJ+blrZs9aIevMmL50zOhpY8fktD7z5i4/dfKMJBHvEtPQywAAIABJREFU9XqJeICIBxGv/YgPm6rVXvD1N7lm9Q9VSLlHMhEPDUe8z+cfkPGn0m7N/OSjvvv3H0w+4p1OJcYxEQ8iHiDiJY543+lCDUS8OLapv0WcNiIeRHyb1q7ZpswtVgZk/JF8xNtsNgW+rUQ8iHiAiJc44p0rpmsj4uufALViRp1E97QR8dBwxI/4bZIyI77r+98n/1RXk9FIxANEPIh4jUe84PNYsvprJuLF8RzIJ+JBxLduUP8/Fbvf+aVLl5OM+Mfl5UQ8QMSDiNd4xAduXNRSwceeABW4eYmIBxHfih97DddwxFc+fEjEA0Q8iHiNR7xr63KNRXz9TBgcNlYR8SDiW/JDz4EajviKMiIeIOJBxGs74gXBOmm4BiN+bD/77DFRv4+IR2pEo9GqKqOKntja64v+Go74S2cv6eqJrUVXiw0GE4chiHgQ8TqK+NCj+5os+OdPgNowvy6J55AT8YhTMBge/ed0xTZxs9O9cy/1Rvzlc+devPn1yqVLF0+fOXvw8P7cxR+//5263g5JZvJfCwRB4HgEEQ8iXhcR7zmwTcMRL47vVAERD7nt3HlQh8mYxog/vXd/3q+jd0yYum1M9tbfMzcPG7lh4C/rM4Y1zEedv9PnS3fs6DmORxDxIOJ1EfH2uZnajnjL2H7B+8VEPGQ1P3cN5Z2aiL9y4eLhNRvEgm+c7C+ObiN+7ZptHI8g4kHEaz/iBatJ2wX/fCYNi1gTWS1KxCNOZ05fprzljvgLJ04WLFq+aeiI1vM9Nh8qeLGQrHPjxh2ORxDxIOK1H/G+c4d1EfFj+9kXZAvBIBEP+eRt3vNVz8H0txwRf/bg4T0z5q7vPzyefI9N9/d0dyX+31//tGfPEY5EEPEg4nUR8c7VM3US8eK4/15LxEMtUrDF5JDBmZK0Y860xSUlpQ/LKjes/7tbl/9IGPFXr149vu3v7Vl/xd/uDRP0eBX4trLFJIh4gIiXIOIFv9eSNUA/ES+O//IpIh5EvIQRP2P60sbf88WdMRObi+cvHMvL3zoyM4F8F2fzT78nsy0VEQ8iHiDiFR3xweIruir4+hk3MGJ8QsSDiJcq4ktLH/3j0oAQ/fjDvsl/2/VDRiSW77E5NHO+Mt9WIh5EPEDESxDx7m0rld/ckn9P54oZRDyIeKki/skTQ5Nv+2UPCW4MWNNvWDIRX11yj4gHiHgQ8RqN+GjUNvU3pa9i37ZK8h/SkplRFw4T8SDiJYn4/Pz9jb/n3btlkiynSSbir27frdi3lYgHEQ8Q8clGfOhphfJXv3hP7A/XGmzTRki5TU320LobN+rie6ghEQ8ivvX58IM+J05ciH3D0tJHP3z3axojfscf4x+cOa/kt5WIBxEPEPHJRrz3+D613IcaNtfYcn6X7BeDpTPrDh2q7/g47nsj4kHExzOffzrg238Pl3C3xHZFfP4f4wsWLjtXUChEIgp/W4l4EPEAEZ9sxDuW5yg/4gMlRbGfVrCabNNHSrAgfsboaOGB+ogX59atNq/HE/Eg4tMybUb8piEjdk2ZeXTjlkunz8T2kr8lHtGKR8SDiAeI+KQi/tnmkv2VH/GhitKGn1+wm22z/kyq4Kf/ET1Q8LzgY1Nc3HrHE/Eg4hUU8f2H5/85/sCi5Wf2FRRdvdrkea7F4uFMxANEPIh4bUd84PZVVewIGa79x8YXEbvFnmjHN1PwcXQ8EQ8iPu0Rv2noiN3TZh/dtPXify+6N6ukpISIB4h4EPEaj3j3rnWqiHjB427yp4g47fa5mZIVfGxu326p44l4xM9isW/fVrB82WZJZtbM5U1qb37uGqm+eWy+7DlYuRGfMXzb6AkHlqw4s//Aixfdm3X2zHlpXx85ZuaMZU3+pAvmr5Xqm+dv3S/5b3og4gEiXlkRL8n6crmnfi/I5to64nLY52VJVvANHU/EIwkmk/mLzwYotolVN+eOnyxqp8OHjvG6ff3lUKvVzvEIIh5EvDYjPlzzVBWX4W1Tfmnpz1Lf8bnjJCv4ljueiEecVq/KpyAlnEuXLrc34o8fP8XrJs6WvL0cjyDiQcRrM+J9Zw6qIuLt87Ja+eMIbqc9d3xbBf9nvAUfm7t3iXgkfHyRj+mN+DNnzvG6ibNu7Q6ORxDxIOK1GfHONbNVEfGO5Tmt/4miPo9j0UTJCr65jifiEafy8sdd3/+BgpRqcnOXnThxql0RL3Z/53d76fx1+/CDPk+rjByPIOJBxGsx4sNh6/hBqoh416ZFbf6hBLHjF09q5heAOVmJFPwLHU/EI34PSivmzFoxccJcSeaPUdOa9FnmmJlSffPYfP5pf8XG6Jtv9HizU4/uH/zQ69uffhqa+esvE6bnLGzz8vzUKQulfYkkH1nfVvHjJ/4yyZEIIh5EvDYjPlR+TxUFL4579/p4/lzRFzreuXKGEAzUPXiQYMSLc+8eEY/0SsEWk7NnrVDXZWax41uPeK/Xq/C3lS0mQcQDRHyCEe89uluChS6Tf/WvzI1zbFkDEvuneA/vjPfPFgp5j+11LJnsWDbVd+ZgXcOj16uqkux4Ih4ajvgnT6q7d+utoojv0vnfUybPPnWqxd3iHQ4HEQ8Q8SDitRnxjuU5yUe8M2dU/DVsS3T1ju/cYQn+2GZz3dGjCXb8/ftEPDQc8aJH5Y/HZ83+4btfv/v25zan5xeDur7/fZfO9fP+e9/JUupvf/vO29+881Yz81annh1e6vrS/73/2qvdfx4+pqDg4IsRbxaPdyIeIOJBxGsv4r/9aoh13EAJrsRP+rkdET8uwYgP3LgozZ/c5ao7eTKxjq84epKIh4YjPjGbNu54uWM3safTOB07dBkw4Lddu/Y2FPyVK1d8Ph8RDxDxIOI1GPFjf5DmllbbhMHtifgEf20IlhZL9of3++vOn0+s43fOXMTxAiK+wbp1+enN98bT4aUuvXv/tHz52ry8bdOmzlP+20rEg4gHiPhEIn5V/wFS3XVad/Cg3BEfrq6U8s8fDtcVFSW4rqasjEMGRLzo1q07YjcrJ+IbT+f3ehLxABEPIl6bEX9seIZUER/dvy/eiE/0xtaI3SrxSxCN1t25k2DHP3zIUQMi/qeho5VZ8LFxuz1EPEDEg4jXYMQ/GtVXqoiP7Noha8Rbxvarv3Yuh4oKOh5EfALERO7YoauSI95YbSLiASIeRLzWbJy/UsJN3MPb8+S9Ej9puIyvhcFQd/hwIh1fXl4XCNQJAkcQdBjxF85fVXLBi2MysTsNQMSDiNfeH3n2HAkjPpS3Ns7wtWb2T+D72+dlyfty2Gx1x44lvov8lSt1T59S89BVxC9btl7JBf9yx26BQJCIB4h4EPFacy5nooQRH9ywPN6Iz0ok4p2rZ8r+ing8dadPJ97x4pw/X/9NgP8SBOFg4akxo6f/2Of3eHZeb2W++Wpok9r79zfDkvyeSc5bnT5XcsS//trH6X190vW2ZvT7Y8L4uadOXoxGoxyDIOJBxGvQ7b9GSRjx/jUL474Sn8jdtK785al4UQKBuosXk+r448fr96EH6uocDvewoeNU9ADU9o5i96V5HvH/+lzDL348M/qPHJ/Pz5EIIh5EvNZUZQ6WMOJ9y+fEG/EJfX/PgfwUvS6RSN3Nm0l1/Jkzct2DC1UZNXKqhgPxnbe+VnLBi79gvPv2v3Ue8eJMmbyQIxFEPIh4TYn6PBIWvDjeRTmyXon3nS5M3asjCHX37yfV8Wxco3s3btzRdh2+8bqi19J0eqMHBR+biooqjkcQ8SDitSP8tELaiHfn/iXrlfjA9fOpfo0eP0484k+e5CZXnVu5You20/C1Vz5WasF3EX/BoN0bZlv+fo5HEPEg4rUjUHxF2oh3zc6Kq24PHkzwxtmykjS8TGZz3dGjbfyJDh92HD9uPHPm0fnzpRcv3rl06faVK3cvXbp/505FRYXRaLTb7WFW1+jPnNkrtZ2GL3fspsCC79jxg7c6fUm4N54Vy/M4HkHEg4jXDt/pQmkj3pkzStYr8WFjmv4fYYej7sSJ1ra9P3myKA737t0Tgz4UCnGs6cTGDTs13IXvvv1NkrX9ysvdX3/tE/Ffpbo79uWO3TvVX4BnHXzT2bPnCMcjiHgQ8drh2btZ2oh3TP5F1ivxgtudthfL76/fO7KFP5H/6NHiy5dvX7lSduFC1blz1WfPGk+frj5zpvLu3QcPHty6datJzZeVlXm9Xo44zauoqOr8rma78K03eibZ3G926tnoHtlvOr3R4/V/ffbaKx+LWd/xpXifAit+5asvf/TG65+//eZXxHqz0/X97y0WO8cjiHgQ8drh3rZS2oi3TRgsX8RbsgbUpXfDY6u13cvixb/lmXA4bLFYysvLr1271pDyYt8HAgGOO21buGCdVtPw9X99mtSilw7d4rnY/86bX73V6cs33+jRZMT/8h2qPb7ZuGEnRyKIeBDxmuLauFDaiBcnvohPZBmPbcaoNL9eoVDd4cPtKHjxi19YBy/WfE1NTcO1ebHpq6ureRqLhonvuNjxmrwe/+rLHyb3GKbPyGu5p/O7vdat3cEZBkQ8iHitca6eKXnER/fva7tuCxOJeMfSqel/ya5fb0fE37zZ0rcRBEFM+Rs3bsRSvrS0lIXy2lZZWbVp467Zs1YkM2NGT2821MaPm5Pkd05olr/y8gfJRHz2hLnp+LEVNy29rRPGJ/X6zJu7auuWvUajmaMPRDyIeC1G/IoZkkd8ZPffbdZttPBAIvtX5i1RwEvmbMdl+LYe2hoMBh8+fBjr+Js3b7JKHq0rPHCy2do7e+ZK6n+Y+/fKkin4QQNH8obGHCg40fzbevYqLw6IeICIb54cy2nC2/NkinjPfmVskVZeHlfEV1TE+f1MJlOs469fv+5O4527ULwteXubrb39+46l/ofJz9+TTMQX7GezlOfyNu9p/m3df5wXB0Q8QMQ3z719leQRH8pb23bEHyhQ+uNaW/XoyAnhoJTPahXbXSz4WMdzPR6qiPiszGlJbErzqd/v5w0l4kHEA0R8gjwHt0se8cENy2WK+MCNiwp53U6euJgzanLdhQvN/OkuXmzYkaZ974XHE+v4W7duBYNBDkYoPOI//fQ/CUf8lMlzeTeJeBDxABGfuEDJNckj3r96oUwRH64oVU7E/9jn9/p/53LVVVbW3btXd/9+/b9paxF861wuV2xdzX3xuwEKjni73Z7MWpri4ru8m0Q8iHiAiE+c4HZbpI543/I5bUd8wf5Ebpm1mhQX8VIzm82xjq+pqRH/IxvDQZkRf+LEuYQL/sue/XgriXgQ8QARn6x72b9JG/HeRTlxRPy+dj/paWw/IaSURSaSR3wgEBDzvbKysrS0tMmzXa9du3bz/2/vPvyaOB8Hjv9HX7WOtloHwy0ulCHLjXuhRZxV62jddbTaWq3U0VoHVutetI5K2QSZsjdJCCGEEBJ+Z6+/iBBCyLyDz/v1vPrqgMvxPCH95LzcpaUpFIqCgoLy8vL6+vrm5mZ+VYl470b8kcOnHI74c+cus5REPIh4gIh31vWDR10b8drD2+25Oo1q88LebXnnculMmqsiXq/XV1RUZGRk/NNLqampeXl5NTU1fDqQiPdKxEdFLHf0Lq1+tbX1LCURDyIeIOKddfJE/LUlC1x5JP7EPnuuwNh64Udl3Dz7N6s+srUvRbwQ3wUFBUlJSR2PuGdnZ5eUlAhZX1RUZDmpRqlUCrEu/Mu3b98KXyB++LWjrKysyspKPgtLxHuM0WgcNmScYxG/atVm1pGIBxEPEPGuifigGdENJ3e5pODVX6ww/3HbztshNR3txYM2nv+mb0S8yWQqKysTkl1M8PT0dCHcNRqN8O8tX9PW1paWlib8V+E/df12nU4nZH1+fn7HoBfeD+Tk5KhUKn6LiXh3UyhyHT6X5vGjP1lHIh5EPEDEuybiZ86INjVp1Yc3u+DSNGe+sfeGpnfvmm5et/9gfNOtS30g4g0Gw5s3b8TszsjIEFq8Y7t3VF5eLp42IwS9jfcDQv0XFRV1rHlxs3wiloh3Y3ReuOpYwY8ZPd1oNLKORDyIeICId1nEvytCrabh+A5nCv71sjDVb1ftj3hhaPbE2Pv24MVD6UyaYxHf0tKSnp4upnZJSUl3+S7S6/XiyTYNDQ09blkIfaVSaXl7IKZ8fT1nHhPxbhH7+U7HIv7ggZMsIhEPIh4g4l0c8e863mBI2+vI8fjKDVH7Z06fMmZarwpeGLoTe+29h9SbNFlHvNFoVCgU4rnvdp70kpWVJXx9aWmp/Y+i1Wo7nmovPGJTUxO/10S8a40fF+xYxOfmFrCIRDyIeICId33Et7+7Trly1fgpitXhdrZ11edR34cE+g71F/4PPXt8UG8jvvnUQXvv9FRTKeuIz8/PF8Pa/tPWi4uLha/Pzu71bXF0Ol3HS1WWlJRwDgMR7yrCS4RjBR82ZykrSMSDiAeIeHdFvGDVyk1DB/nGTQ54sXROd7eCqo2NerI4dFvA1BGD/Sz/k57sM6PXEX/yK3sKvi42SjoXiXcg4jUajdjTVVVV9n9XbW2teOTesZ1saGiwXLxS+ButVssvOBHvvAcPnjkW8b/+msAKEvEg4gEi3o0R/+hhouX/u37D/FeNn3wocPrx2TPOhQV+Fzxz+9SpC30nffqRX9f/SQ8e5N988/deRbx2v11n75RuWiSpSettxGdnZ4vXguzV500t6d/a2urYfra1tZWXl4tXwhH+WllZye84Ee+kgwdOOlDwQ4eM12gaWUEiHkQ8QMS7MeKNRqOvz0zHDrY92H+0F1enuX3Lzls+ZW1eKd+Ib25u7u2JNJ2+UafTObO3Wq02MzNT3FReXp6Ny92AiO9RZMQKB14ZNm78kuUj4kHEA0S8eyNesP/rE45FfOTUcPsj/sLW3eGjJ14Im1W+PtJ2xD/ZukG+EV9RUSFeLNL25Wi6EtpdLG/nb8sqvDErLCwUtyYEvfD2gF92It6xJ9LQIeMdeGV4+fIflo+IBxEPEPFuj/j8/LcO38zl2q6v7Sn4iku/DB/6Xw0MG+S7ZvyUhHnBVRuirEb8xc1x8o148SOtwl97+yharVbM7paWFpfsdnV1tbjBlJQUjUbD7zsR31uZmW8ceE0YPy64t+9giXgiHkQ8QMQ7EvGCkJBoxyJ+2OCxr459Z7vg6678FjguqOv3fvqR31L/SadDZiYtn1MTG2W5fuWO2C/kG/HilSLLy8t7+ygqlUq8FasLry0jtHtqaqqY8lxInojvrdevUxx4TTh54ixrR8SDiAeIeA9F/OVL1x0+GD94kH/8pl1tf/xhteCTTp6e7DOjx40MGuDjO9Q/8LPxnw32W7N6i3wjXrzBU01NTW8fpaysTLywjGt3vrm5WbxqjfD2oLa2lt96It5+LS2GSf6ze/uCUFZWwdoR8SDiASLeQxGv1TY5dvKrZUzzCzy7cUf2mZ9afr8ljNILl2/vObh01vyBA3x7u6llSz+Xe8RXV1f39lHEO7A6cB5OjwwGg/jnA0LHO/DuAv024gW39x9bPjF4zDB7XxwWLVzHwhHxIOIBIt5zEd/uxM3VXT4WzF8j34gXb9Ta29NpjEajeNKLA/Vv5/bFHaPjifheuRKz+dy8ZcLYO3tehO/MYYP8bf/y3vr9PgtHxIOIB4h4j0b8i+dJEon48PBl8o34t2/fCq2ck5PTq4cQr2mTnJzs8EXieyRsWbz0pNDxnB9PxNujpUl39t+Ct4wzUUvn+Ezv7jd3+KeTnb+2EhEPEPEAEd+7iDeZTOOsffzU8yNotoxv9lRTUyPmuP2fTzUYDOLHT4U3AG79QSzn1Qi719DQwCsAEW9bVU7euQ8jXhinIqMDPpti9Td3546DrBoRDyIeIOI9HfGC48fOSCHip02Lkm/Et7a2pqSkCKFcUWHXx/vMZnNubq54IUghst39swgPIX7OVXg4DpoS8bYp7j/uGvG/bdgq/PVAyIL5/oGfDh7b4bPpvrm5BawaEQ8iHiDivRDxZWUVUoj4iRNC5RvxguLiYvFod4+VbDKZxNNvHLugjWOEvRIP/GdmZnI/VyLehr/OxHeN+BfnLlj+/se5S7fNjAwZM33GyIBbl6+zZEQ8iHiAiPdOxAvmzVvt9Yj39Zkp64hvbW0Vr1GTkZFh426pLS0t4jF4QUlJiSd/Io1GIz6usAPcl6efR7zw1v3OnUdXrvx+8+a93NwCs9ls+U83v9jbNeKrc/K7/kthVL3JZcmIeBDxABHvtYhPuHHH6xE/YvgUWUd8+7+3X01OThbPWikvL+94E1YhmoWGfvv2rfgFgtLSUs//UOK5+55//wDpRHxGRnbXN+3+frO+3HXoxfMkQ0tL/OLVnUr9yvp393C4sHQdEU/Eg4gHiHhpRbxO1/zpJ5O8G/FDh4yTe8QLGhsbLXdLFQh/n5WVlZaW9k8Hwj+qVCpv/VxCvou7UVdXx6tBf4v4n3/+zfY9HIZ/MilozLTN0yNORy6xlPrfl34TvvfGli+JeCIeRDxAxEsr4gXbt33t9YPxHf9MX6YR3/7veTVlZWUdU94iPT29srLS/ivYuIMwyeIdpuw5fR99KeJv/X6/F7dkHug7fWRATEDoyYjoqpw84dsfHjlJxBPxIOIBIl5yEZ+SkuH1iNfrW/pAxFtaubGxsaampry8vKKiQvgbrVYrkR/NYDCI19IRap6T4/tJxKtUDSOGT3Hgt3Lg/3wiI1YUF5e++vkXIp6IBxEPEPGSi3jBtKmR3o14jaaxz0S8xCmVSvEPB3p7l1nINOIvXrjmzKluTU26zDsPiHgiHkQ8QMRLMeJ/+OGCdyO+tlZCtxTt2xHf/v93mU1KStJoNLws9PmIF+Tnvz154mxIcHRvfzFXrdwkfHvR62QinogHEQ8Q8VKMeKGhBw3082LEl5VVSGfS+nzEt7W1iXeAEv7q3dP04ZmItygvr4yPv7JoUYydv+9Ll8YePnxqzxf7F46b1Wns2brv8aM/WTUiHkQ8QMR7M+IFy5bFejHiCwuKiHhPampq4oqT/TDiLdRqdULC3RXL44Z0uAlrb8eePUdYNSIeRDxAxHs54u/de+LFiM/OltAfzfeHiG/vcMVJnU7Hi0N/i3gLvV7/5MnzTXG7B380logn4kHEA0S8/CLeYDCOHjXdWxGflppFxHuY0WgUbzSrUCgkdYnPfuvypd+t1t7tW4/d/dDx8Vc4Eu8mly7dtLqsf9x+wuSAiAeIeBdEvGDf3m+8FfF//51CxHueSqUSD8bX1NTw+uB1T5++slp7qSkKtz5udXXtsKHjiXh3LeuTl9aXNVXB5ICIB4h410R8bm6BtyI+MfEVEe8V+fn5QsSnpKQYDAZeIryrpcUQPmdNp9SLXhTn7iv6Hz1ymnPi3UevN4TNWd15WRfHcaMGEPH9mvASEBf7VUjQCoadY1rAQuHVc9KEuf3nRxZ+WJ/RIfZ//cdDJ3ol4idPjJTOpE2fusjPJ7SfPEMWLfj8+fMXQsf/dO4yLxFeH4Ezl/iMCbGknq9P6KyZS939oEOHTHDs13b0qJksmV3LOmOJr8eXVaIjeMWp7y7Qb0Q82pub9UKiWf1zOgbDsfHJxwFeifjhH09j8r01dn95VLxsfNicVcxGPxwD/ufr2K/tsKETmT1Gb8fyZVvpNyIe7zQ2aisqqhgMV403b/IHf+Tv+Yj/8cdLTL63RllZZUpKitDx6ekZzEb//K13bBQWljB7jN4OvZ4z94h4AO4RE7Pd8xF/+dJ1Zt6L6urqxE+4qtVqZgMAiHgA8pOY+MrzEf/TT78w896lUCiEiM/MzOTzdgBAxAOQH6Hhxo0N8nDEnz4dz8x7l0ajEQ/G19bWMhsAQMQDkB+HLznn8Dh+7AzT7nW5ubn/nhmfzsF4ACDiAchPcXGphyP+4MFvmXav02q1SUlJHIwHACIegFxFRa70ZMTv3XOUOZeCvLw8DsYDABEPQK6uXbvtyYj/4ov9zLkU6HQ68WB8TU0NswEARDwAmWlq0n36ySSPRfymuN3MuUQUFBRwMB4AiHgAcrVlyz6PRXxMzHYmXDLv35o4GA8ARDwAuUpKSvNYxK9cEceES4d4ZnxGRgYH4wGAiAcgM2azefLkMM9E/KJFMUy4dGi1WvGa8UqlktkAACIegMycPnXeMxEfFbmS2ZaUN2/eCBGflZXFVAAAEQ9AZqqrawcO8PVAxIeERDPbkqJWq8WD8RqNhtkAACIegMwsid7ggYifOWMeUy01CoVCiPi8vDymAgCIeAAyc+fOIw9E/OTJYUy11NTX1wsRn5SUpNPpmA0AIOIByInBYBw5cqq7I36s/2ymWmrMZnN6errQ8W/fvmU2AICIByAzu3cfcXfEjxo5jXmWoMrKSvHM+NbWVmYDAIh4AHKiUOS6O+I/HjaBeZYgod2Tk5OFiK+qqmI2AICIByAzs2YtcGvEDxzgyyRLU3FxsRDxaWlpZrOZ2QAAIh6AnMSfv+Lug/FGo5F5liCdTseNnwCAiAcgSypVw5DBY90a8VptE/MsTeKNn3JycpgKACDiAcjM2jVb3RrxSqWKSZYm8VqTgubmZmYDAIh4AHLy9OlzIr5/MplMqampQsSXlZUxGwBAxAOQE6PR6OsT6L6I1+k4yitdpaWlfLwVAIh4ALJ06NB37ot4k8nEDEuWXq9PSkoSOl6tVjMbAEDEA5CTwsJiNxX8kMFjmV6JEz/empeXx1QAABEPQGZmBc53R8RPDYhgbiWutrZW/HirwWBgNgCAiAcgDxpN444dB910JD5m3XZmWOKMRmNKSgp3bwUAIh6AbDx9+tzP142faj158iyTLH2FhYVCxCsUCqYCAIh4AJKmVqs/37DT3bdrffQwkamWvoaGBi4YDwBEPACpe/bshVsPwFs+1crtWmXBbDanp6cLEV9eXs5sAAARD0By3HoGfKexckUcEy4XJSUlQsRnZmZ+X5bQAAATRElEQVQyFQBAxAOQFs8cgLeM69f+YM7lorGxUTyjRqvVMhsAQMQDkASVqiE2dpfH8l0YgweP1WgamXkZSUtLEyK+tLSUqQAAIh6A9yU+e+nvN8uTBS+M6MXrmXl58fwZNS0thoqKKoPByOQDABEP4D0HzoD/n4si/ueff2P+5cVyRo0HrlFTVVW3dctB39HBo0cG+Y4J3bX9cH29miUAACIeQPvjR3/6+sz08AF4y7h/7ylLIDviNWoqKirc+igVFVUzJs8V8r3jmDUhvC43jyUAACIe6L88eQma7sbTp89ZCNkpKipy912f9E1NUVOjOhW8OL4IDGvJeM0qAAARD/RHXjkDvut4+fIf1kJ21Gq1eEaNXq93x/ZNJtPmucutFrwwxo0Jrt44r7WI4/EAQMQD/YlG07gpbrfX810cqSlccVx+hMhOTk4WIr66utod2z+3c193BS+Owpgo9eHNLAQAEPFAf5GY+Gqs/2yJFLwwsrNzWRQ5ysvLEyJe+KvLt/zX1Ws+Ngvef3RQTexc5ca5rcUcjAcAIh7o67TaJq+fAd91FBYWszRyVFdXJ0R8cnKyyWRy4WaLMzMnjQmyfRh+28w5QsELo/kZtwkDACIe6NOePn3uyZuw2j8qKqpYHTkyGAziafGNjS67V1dTQ0PEpHDbBT/VNzh/bZQY8bp7XJ8UAIh4oI+S5gF4y6ivV7FGMpWZmSlEfFlZmUu29u7DrJHLbBe876jgxKWRYsG/OxKfeJdVAAAiHuiD/vxTWmfAdx3CewyWSaaKi4tdeKHJM9v32C54YfwcFWYp+HfnxJcUsAoAQMQDfYrED8BbhtFoZLFkSrzQZFJSksFgcHJTL65c9emp4LcFzulY8A1Ht7EEAEDEA32K9A/Ai2PQQD8WS77a2trE0+KVSqUz2ylKS584Jth2wc+bEFz1+fuCr4+bx2F4ACDigb5Do2ncsmWf9PNdHJ9+Moklk7Xs7Gwh4ouLHb/EkFalCps0p8cPs+ati+x4GL75r3tMPgAQ8UAf8ddff48bGySXghfGmNHTWTVZKy8vd+a0eJPJFNfTh1n9RgUlLo3oWPDay6eYeQAg4oG+QC5nwHca48cFs3ayZjktvrW1tVffaDQa8/OKNi5c2+OHWS/ODe9Y8Oqj20xOn4IPAEQ8AO+T3QF4y5g2NZLlk7W2tjah4IWOV6nsulSo2WxOTs7csvnAWL+wHvNdGF98+GFW1a6Vbep6ph0AiHhA3mR6AN4yZs9ayCLKnUKhsPNq8cXFZUuiN9nT7uJYNCmkOjbq/YdZN81vLXzDhAMAEQ/Im3wPwFtGePgy1lHuSkpKhIjPzs62/WU3btz3951jf8H7jgp+GP3BqfD6Fw+ZbQAg4gEZk8gB+NGjpjm5hYUL1rKacqdUKoWIT05ONpvN3X3NzYQH9ue7ZfiPDroy778T4rW/nGaqAYCIB2TdTKqZM+Z5N98/GxFw5syFy5euO7md5cs2sqByp9frxavFNzVZv/nuH7efOFDwlnEgOEx1fEd7Lz84CwBEPABp2b7tay/m+8ABPpvidtfXv/sU482b95zcWsy67SzoB0wmU4tednudmpoqRHxdXV3X/5SVmevnM8eZiBfGpg27DQbu7AsARDwgZ74+gd4q+EUL1+Xmvr9N5r17T5zcoPB+gAV9l+4GQ/PTW+rDW+rF87+3LWmMP9ZanCeX/c/JybF6y6e6OuXM6YudLHhxbN96SHiDw1MFAIh4QK4mTgj1fL5PnjTn4cPETnuS+Oylk5vdseMgC2qsLld9vb7jJzgto+nWpXY5lGtZWZkQ8VlZWR/8XMa2Fcu2uqTgxfHblT94tgAAEQ/I1bFjP3gy3z8eNuHkibN6fUvXPfn77xQnN/7VvmP9fDXb1ErVl6utFvx/HX/7F+n/FCqVSjwtvq2tzfIv9399yoUFL4xx/uGlpRW8AgAAEQ/IUlOTbmpAhGcKPiZme2VldXd7kpaW5eT2jxw+1c9XszH+mI2Cf3dx9I1zjeVFEv8pLJ9t1el04r+5ceO+awteHDHrvuQVAACIeECuFIrcIYPHujXfQ0Oi01KzbO9Gzpt8Jx/l22/P9ed1bGtQ1tsseBldXTElJUWI+Pr6d7dTzXTFh1m7G4WFJbwCAAARD8iD0fjhpTnq6+N3uOsaNX6+gQkJd21c89uiqKjUycc6++Ol/rys+uS/lHZEvGr3mu620NJiaGxsksJITU0TIr60tNSFH2a1Og4fOsMLAgAQ8YDU6XTNJ0+cDQ5a9F/HNze3p6e3371rvnNndehi1+b70CHjDx8+pdU22blvlZXVTj7ixQvX+vPiNj+9ZU/E18fNa///91R6vf7PxNd7dp+IjFg7ZdI897WyA2PCuMiYtTvnRsW49VGmTlnAywIAEPGAdJnN5vv3no4bG/Rf78b/1l5Y2H7/vlDw4tBcvzHB6XumWsaK5XFlZb371KBarXbyQa9evdWfl1j/8pE9Ea/csezft3P6H8/8KoSypMLdK6OysobXBwAg4gEpys7OjYxY8cFNUj+eqLp6zVLw4kj+9odBA3ydLOmg2YuSktIc2EmdrtnJh771+/3+vMqtpYX2RLzmh6/+THw9LWAh+S6OJ49f8hIBAEQ8IC1qtWbf3m8GWkvznYvXdop4YXy3fqvDDT1y5NT4+CsO30NH+EYnI/7Bg2f9erHNZvXBuB6vTvPj3kNjRtHu78eliwm8UAAAEQ9IhdDECQl3R43s9gyZQQN8Mr8/2yniTXfuLp45t7f1/NEgf+Gtgv2nv3fHyYvkJCa+6ueLbsjJsH2BmiOLllHtncbPP1/n5QIAiHhAEpJep84KnN9j9UYEhJnv3OnU8fVXrvqNmGJ/Oi9aFFNQUOSS3R4xfIozEf/6dQpL3/z8QX3cPKsFf231ShnX9mfu2vL5n67ytAEAIh7wPqPROGF8iJ3he3P3ga4n1fx19ORAO06OnxoQ8ezZCxfuua9PoDMRn56uYPUFhgKF+ui2Dwp+88Kcc6fcd7V1WY+EhAc8ZwCAiAck4f79p3aGr++IKdobCV07/sCKWBvf9dmIgDNnLhgMRtfu9qSJoc5EfE5OAUv//r1cdXlLynP9308Nb9JMLfotm/b3ly7v5TH7rMxcni0AQMQDUrEkeoOd7XtoZewHBf/sWXtRUateHx6+rOsXDxzgsylud329yh37PGP6XGcivri4lHW3Kjs7nyPuVseYUUE6nZ5nCAAQ8YBUFBYUfTTI3572HTzI/+35C+137rS/ft1e8/6a2WVlFT5jZnxw+vvCdbm5bjzaHRIS7UzEV1VxwW/rjhw+Q69bHUujN/P0AAAiHpCWr746Zu+HU0Oj2xsbu26hqqJmx46DQluvXBH35Mlzd+/w3KiVzkS8StXAolsVNIuL0lgf167e5ekBAEQ8IC1abZP9HxV9/OhPr+9w9OL1zkS8Xs95EVYUF5cR61bHlEnzmpt5zgAAEQ9Iz/Vrf9hZwJMmhur1Ld7d21WrNjsT8Q7fZ6pve/06nV63Oq78epunBwAQ8YAUmc3msDlL7YzgU9+d9+7exn6+0+GCHzJ4LMtt1R+3n9DrXcfihRuNRiNPDwAg4gGJUihyBw6wq4OHDhlfXl7pxV3dtvUrhyN+xPAprLVVV6/e6Rv3VR09MthVW5s4PqqsrIrnBgAQ8YCk2R/HMTHbvbifu3cfcTjifX0CWWirnjx+KfeCj4pY9+7taFb+eP9wl1xW8vlf//DEAAAiHpC6+nrViOFT7KxhhcJr9745eOCkwxE/aWIoC21VRkaO3CP+xLGfxJ+lsbEpNHilk1v7/vQlnhUAQMQD8hB//oqdNRwbu8tbO3n82BmHI37G9LmsslUNDVqf0SGyjvi83CLLj2M2m3dsP+LM1vbuOcGzAgCIeEAejEajnfdD/WiQv1bb5JWd/P77nx2O+JDgaFa5O6tXfiHfgl+2xMr9mC5euOnMNktKKnhWAAARD8jDq1fJdgbxi+dJXtlD+/+4oOuIilzJEnfnyq+35RvxycmZVn+o1FSFv1+YY9u8dDGBZwUAEPGAbMSs225PEJ8+5Z1rTf76a4LDEb94cQzr2x2tVhcweb4cC3771kM2fi6lUj07cCln1AAAEQ/0cZWV1R8Pm9BjEB869J1Xdu/mzXsOR/znG3ayvjbfIMnvYPzMGdEqlcb2z2UymTZ+vre3W97z5XGeEgBAxANy8u2353oM4n17v/HKvr14nuRwxF++fIPFtcFgMC5cECujgh/rF5aZae+FkuLPX7Nzs7PGhvwQHn7/6FGeEgBAxANyote3TJwQajuIz5y54JV902qbhn862YGCj4xYwd03e1Rbo5wxbbEsCt5/TEhvL+WekpLl5zvH9mYXTAwp2xCl3Di3ducqng8AQMQDMvPwYaLtJn786E9v7du9e0+GDhlne/cGD/If81nA1ICI8LBlq1dvuXjhmsFAwdvlTXbBtICFEi/4AJ/gxOVRxppeX0Cmvl4dGtLtVeT9Rwcp1kQKBS8MzY8HeTIAABEPyE/04vXdJvJH/mq12ov7Vlxc+uN3P+1dGnNi7eb4Tbtu7Nr/+MA3/5z8PvdsfNXlX3UJN9vv3m2vrWURHVNVWTNv7nrJFvzyKSF5696ltuaHrxz7AS9eTPAdY+W6+DHTQsWCr98031hexDMBAIh4QH4KC4o+GuRvNeJXr97i/f3Tat+Vuo0hfAEc1dys//70pXH+4ZLK9+CxwdcWRNT/29niaFEkO/YD5uYURkWs67T9VVPeRXz9jmWG7FSeAwBAxANydWD/SasRn/RaAoljO+Lv3GnnDHin1dUpTxw/HxK0wrvtPubfY+S/L4yojY1Sdih4Yai+Xm9qNTj20xmNbU8ev9y185voRXFLojcd+PpUUlJ6a3WFqUXP0gMAEQ/ImFbb5OsT2KngY2N3SWTnbEX8o0csnwv5jgm13dlxM0Jtj01hi7ZvPWh1xG7o4fqPIWNDOrV7x6F7dJMFAgAiHsAHEm7c6VjwUyaHK5Uq7+6SXq/XaBobKqs01290NxoePBS+ptMQvpEFdYyfTw8XdanvPrIto/WN9T/AqaqscSbilduizc1NrBEAEPEA3jObzeFhy8SC9/MNLCur8Pou7dv7jcOXiv9sRMCsWQuOHD6VkZHN4row4tXHd/QY8Y3xx9wS8Rvn6l8/ZY0AgIgH8AGFInfgAJ/589ZUV0viei/ORHzHsXDB2qzMN6yvSyLeUJzf48F49YGNbor4ppsXWCMAIOIBdPb8+WuTySSRnXFVxIvj5ImzrK/zEW82m7VXfugh4g9tcjDix8/pIeJvXWKNAICIByBpro14YezcwW19XBDxbY0Nym1LbKS29tfvHYv40JmLbUd8S9or1ggAiHgA/SvihXHu3GUm1smIF76sOfFud51dv3Fua2mhYxE/J2SV5sz+7ras2rPWZDCwRgBAxAPodxE/cIBvdnYuc+tkxLebTJqzh6xfCPL+te42bk/EtzUoVXvWWHlvsHmBoUDBAgEAEQ+gP0a8MBbMX8Pcdmf82Agbke0zOuT9lxqNTbcvKzcvfJ/aO1foX9q6bH9trdJ2xEeGrxW+rE1dL7xD6PjxWfXhza3F+awOABDxAPpvxAtDoeBgvHVCRts6Zz14ZaevNzc3GRQp+qREQ76ix3NdjMa2sX5hNra/Yf1uyxeblDUtqS/1yX+1lhe1i4f/AQBEPID+HPHHjv3A9Fp1+tRFG5F94vh5J7e/fetBG9u/mfCAJQAAIh4AEW99hIREM71WNTRoZ86ItlrYM6YtVqk0Tm6/qKhsnH+41e3Pm7veaGxjCQCAiAdAxFsfo0dNZ3q7U1BQMjtwaafCDpyxJDf3rUu2//p1+qQJczsXfFRMdXUdkw8ARDwAIt7WMBiMzHB3dDr9pYsJq1ZuD5+zZuWK7Rd+vtHUpHPh9pVK9fenLy1bukXYfsy6L2/cuM9yAAARDwAAAICIBwAAAEDEAwAAAEQ8AAAAACIeAAAAABEPAAAAEPEAAAAAiHgAAAAARDwAAABAxAMAAAAg4gEAAAAQ8QAAAAARDwAAAICIBwAAAEDEAwAAAEQ8AAAAACIeAAAAABEPAAAAEPEAAAAAiHgAAAAARDwAAABAxAMAAAAg4gEAAAAQ8QAAAAARDwAAAICIBwAAAEDEAwAAAEQ8AAAAACIeAAAAABEPAAAAgIgHAAAAiHgAAAAARDwAAAAAIh4AAAAg4gEAAAAQ8QAAAACIeAAAAICIBwAAAEDEAwAAACDiAQAAACIeAAAAABEPAAAAgIgHAAAAiHgAAAAARDwAAAAAIh4AAAAg4gEAAAAQ8QAAAACIeAAAAICIBwAAAEDEAwAAACDiAQAAACIeAAAAABEPAAAAgIgHAAAAiHgAAAAARDwAAAAAIh4AAAAg4gEAAAAQ8QAAAACIeAAAAABEPAAAAEDEAwAAACDiAQAAABDxAAAAABEPAAAAgIgHAAAAQMQDAAAARDwAAAAAIh4AAAAAEQ8AAAAQ8QAAAACIeAAAAABEPAAAAEDEAwAAACDiAQAAABDxAAAAABEPAAAAgIgHAAAAQMQDAAAA/cn/AdfME2Fs+GPUAAAAAElFTkSuQmCC
'''
class Scrollable(ttk.Frame):
"""
使用右侧的滚动条使框架可滚动。在可滚动框架中添加或删除小部件之后,调用update()方法刷新可滚动区域
"""
def __init__(self, frame, width=16):
scrollbar = ttk.Scrollbar(frame, width=width, orient="vertical")
scrollbar.pack(side=tk.RIGHT, fill=tk.Y, expand=False)
self.canvas = tk.Canvas(
frame,
yscrollcommand=scrollbar.set,
width=500,
height=360)
self.canvas.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
scrollbar.config(command=self.canvas.yview)
self.canvas.bind('<Configure>', self.__fill_canvas)
# base class initialization
ttk.Frame.__init__(self, frame)
# assign this obj (the inner frame) to the windows item of the canvas
self.windows_item = self.canvas.create_window(
0, 0, window=self, anchor=tk.NW)
l = self.init_generator(init_val)
for num, i in enumerate(l):
Add_Del_Row(self).add_row(name=i, types=num)
def __fill_canvas(self, event):
"Enlarge the windows item to the canvas width"
canvas_width = event.width
self.canvas.itemconfig(self.windows_item, width=canvas_width)
def init_generator(self, l):
for i in init_val:
yield i
def update(self):
"Update the canvas and the scrollregion"
self.update_idletasks()
self.canvas.config(scrollregion=self.canvas.bbox(self.windows_item))
class CommanStyle(object):
"""
通用样式设计
"""
def __init__(self, frame):
self.frame = frame
# -----通用样式-----
s = ttk.Style()
s.configure('TFrame', background='white')
s.configure('Frame1.TFrame', background='white')
s.configure('Frame2.TFrame', background='white')
s.configure('Frame3.TFrame', background='white')
s.configure('Frame4.TFrame', background='white')
s.configure(
'TCombobox',
padding=[
0,
7,
0,
9],
selectbackground='white',
selectforeground='black')
s.configure(
'TEntry',
padding=[
0,
0,
0,
0],
selectbackground='white',
selectforeground='black')
s.configure('TLabel', background='white')
s.configure('TButton', padding=[6, 6, 6, 6])
def set_text(self):
field_name = ttk.Label(
self.frame, text='Field Name:', font=(
'Devanagari MT', 25), foreground='#ED7860')
type = ttk.Label(
self.frame,
text='Type:',
font=(
'Devanagari MT',
25),
foreground='#ED7860')
field_name.grid(row=1, column=1, padx=0, ipady=65)
type.grid(row=1, column=2, padx=55, ipady=65)
# -----------------
class Add_Del_Row(object):
def __init__(self, scrollable_body):
self.scrollable_body = scrollable_body
def add_row(self, name='', types=None):
global i
i = i + 1
items = []
l = ttk.Label(self.scrollable_body, text=i)
items.append(l)
field = ttk.Entry(
self.scrollable_body, font=(
'Weibei TC', 20), width=15)
field.insert(0, name)
type = ttk.Combobox(
self.scrollable_body,
font=(
'STFangsong',
20),
width=16,
state='readonly',
values=type_list)
if types is not None:
type.current(types)
clear = ttk.Button(
self.scrollable_body,
text='Clear',
width=4,
command=lambda: self.clear_one_row_txt(
l.cget('text')))
pop = ttk.Button(
self.scrollable_body,
text='X',
width=2,
command=lambda: self.delete_row(
l.cget('text')))
items.append(field)
items.append(type)
items.append(clear)
items.append(pop)
field.grid(row=i, column=1, pady=8)
type.grid(row=i, column=2, padx=10)
clear.grid(row=i, column=3)
pop.grid(row=i, column=4, padx=8)
self.scrollable_body.update()
rows.append(items)
def delete_row(self, lab):
for rowno, row in reversed(list(enumerate(rows))):
if row[0].cget("text") == lab:
for i in row:
i.destroy()
self.scrollable_body.update()
rows.pop(rowno)
def clear_one_row_txt(self, lab):
for rowno, row in reversed(list(enumerate(rows))):
if row[0].cget("text") == lab:
row[1].delete(0, END)
row[2].set('')
self.scrollable_body.update()
# rows.pop(rowno)
def delete_all_row(self):
for rowno, row in reversed(list(enumerate(rows))):
for i in row:
i.destroy()
rows.pop(rowno)
def down_data_save_file(self, total, type_f):
save_dict = {}
for row in rows:
fieled_name = row[1].get()
type_name = row[2].get()
if fieled_name and type_name:
if save_dict.get(fieled_name):
messagebox.showwarning(
title="Waring", message="""Column "{}" is specified more than once.
Column names must be unique.""".format(fieled_name))
return
save_dict[fieled_name] = type_name
if save_dict == {}:
messagebox.showwarning(title='Warning',
message="""请输入有效字段/Enter Correct column""")
return
total_row_num = total.get()
status = val[-1].state()
file_type = type_f.get()
try:
if int(total_row_num) > 0:
if file_type == 'JSON':
if len(status) > 0:
File("MOCK_DATA", fake_lan).save_data_json(
total_row_num, save_dict, status=True) # 保存为json
else:
File('MOCK_DATA', fake_lan).save_data_json(
total_row_num, save_dict, status=False)
elif file_type == 'SQL':
table_name, _table_status = val[1].get(), status
if len(_table_status) > 0:
File(table_name, fake_lan).create_table_and_open_sql(
total_row_num, save_dict, status=True)
else:
File(table_name, fake_lan).create_table_and_open_sql(
total_row_num, save_dict, status=False)
else:
messagebox.showwarning(
title='警告', message='请输入有效数字')
except ValueError as e:
messagebox.showwarning(
title='错误', message='"{}"是无效字符'.format(total_row_num))
class Func_Data(object):
def __init__(self, frame):
self.frame = frame
self.add_row_and_type()
def add_row_and_type(self):
# ---------Rows Num:-----------
ttk.Label(
self.frame,
text='Rows Num:',
font=(
"times new roman",
20,
'bold'),
foreground='#ED7860') .grid(
row=1,
column=1,
padx=10)
row_num = ttk.Entry(Frame4, font=('times new roman', 22), width=10)
row_num.insert(0, 1000)
row_num.grid(row=1, column=2, padx=4)
# ----------Format--------------
ttk.Label(
self.frame,
text='Format Type:',
font=(
"times new roman",
20,
'bold'),
foreground='#ED7860') .grid(
row=1,
column=3,
padx=5)
select_file_type = ttk.Combobox(
self.frame,
font=(
'times new roman',
15),
state='readonly',
justify=CENTER,
width=15)
select_file_type['values'] = ('JSON', 'SQL', 'CSV', 'Cassandra CQL')
select_file_type.grid(row=1, column=4, padx=5)
select_file_type.current(0)
select_file_type.bind(
'<<ComboboxSelected>>',
lambda event: self.callback(
select_file_type,
event))
return row_num, select_file_type
def add_json_status(self):
# ---------JSQN-------------------
json_status = self.model_status('array', 1, 5, 10)
val.append(json_status)
def model_status(self, text, row, column, padx):
var = IntVar()
status = ttk.Checkbutton(self.frame, text=text, variable=var)
status.val = var
status.state(['selected'])
status.grid(row=row, column=column, padx=padx)
return status
def add_sql_status(self):
# -----------SQL------------------
tab_name = ttk.Label(
self.frame,
text='Table Name:',
font=(
"times new roman",
20,
'bold'),
foreground='#ED7860')
tab_name.grid(row=2, column=1, pady=5)
name = ttk.Entry(self.frame, font=('times new roman', 22), width=10)
name.insert(0, 'mock_data')
name.grid(row=2, column=2, pady=10)
sql_status = self.model_status('include create table', 2, 3, 5)
val.append(tab_name)
val.append(name)
val.append(sql_status)
def callback(self, select_file_type, event):
one_status = select_file_type.get()
if one_status == "JSON":
self.remove_widget(val)
self.add_json_status()
elif one_status == "SQL":
self.remove_widget(val)
self.add_sql_status()
def remove_widget(self, val):
for num, i in reversed(list(enumerate(val))):
i.destroy()
val.pop(num)
class Menu_toolbar(Frame):
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
menubar = Menu(self.master)
self.master.config(menu=menubar)
fileMenu = Menu(menubar)
submenu = Menu(fileMenu)
language_ = self.language_generator(language_list)
for i in language_:
submenu.add_radiobutton(
label=i, command=lambda lan=i: self.option(lan))
fileMenu.add_cascade(label='Language', menu=submenu, underline=0)
fileMenu.add_separator()
fileMenu.add_command(label="Exit", underline=0, command=self.onExit)
menubar.add_cascade(label="File", underline=0, menu=fileMenu)
def language_generator(self, language_list):
for i in language_list:
yield i
def onExit(self):
self.quit()
def option(self, arg0):
global fake_lan
fake_lan = arg0
def do(slf):
import webbrowser
url = 'https://github.com/kingfei521/Mock_Data_Generation'
webbrowser.open(url)
# import ssl
#
# ssl._create_default_https_context = ssl._create_unverified_context
# data = urllib.request.urlopen(url)
# print(data.read())
if __name__ == '__main__':
root = ThemedTk(theme=Themes[2])
root.createcommand('tk::mac::ReopenApplication', root.deiconify)
root.geometry('1280x700+0+0')
root.resizable(0, 0)
root.title('Pseudo')
Menu_toolbar()
logo = '''
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 '''
logo_bg = PhotoImage(data=logo)
root.tk.call('wm', 'iconphoto', root._w, logo_bg)
# ----背景图片----
left = tk.PhotoImage(data=img2)
ttk.Label(root, image=left).place(x=-120, y=-50, )
# ----文字块部分---------
Frame1 = ttk.Frame(root, style='Frame1.TFrame')
Frame1.place(x=750)
CommanStyle(Frame1).set_text()
'''滑动块部分'''
Frame2 = ttk.Frame(root, style='Frame2.TFrame')
Frame2.place(x=750, y=100)
scrollable_body = Scrollable(Frame2, width=15)
"""动态添加/删除部分"""
Frame3 = ttk.Frame(root, style='Frame3.TFrame')
Frame3.place(x=746, y=513)
add_data = Add_Del_Row(scrollable_body)
ttk.Button(
Frame3,
text='Add Field',
style='TButton',
command=add_data.add_row).grid(
row=1,
column=2,
padx=290)
ttk.Button(
Frame3,
text='Del All',
command=add_data.delete_all_row).grid(
row=1,
column=1)
"""最底部下载相关字段"""
Frame4 = ttk.Frame(root, style='Frame4.TFrame')
Frame4.place(x=620, y=560)
f = Func_Data(Frame4)
total, type_f = f.add_row_and_type()
f.add_json_status()
# --------Download-----------
down = ttk.Button(
root,
text='Download',
width=50,
command=lambda: add_data.down_data_save_file(
total,
type_f))
down.grid(row=0, column=0, pady=660, padx=747)
# -------Copyright © 2021 屈永飞. All rights reserved.
copyright = ttk.Label(
root,
text='Copyright © 2021 屈永飞. All rights reserved.').place(
x=0,
y=682)
# if platform == 'darwin':
# from Foundation import NSBundle
#
# bundle = NSBundle.mainBundle()
# if bundle:
# info = bundle.localizedInfoDictionary() or bundle.infoDictionary()
# if info and info['CFBundleName'] == 'Python':
# info['CFBundleName'] = 'Pseudo'
root.mainloop()