湘潭小五 发表于 2021-3-11 20:42:16

第16课作业求教

import random
a = input("请输次数:")
a = int(a)
b = 0
c = 0
d = "正面"
e = "反面"
f = d,e
h = a

while a != 0:
    g = random.choice(f)
    if h < 100:
      print(g,end=" ")
      a = a - 1
      if g == "正面":
            b = b + 1         
      elif g == "反面":
            c = c + 1         
    if h >= 100:      
      a = a - 1
      if g == "正面":
            b = b + 1            
      elif g == "反面":
            c = c + 1      
print("一共进行了",h,"次实验,如果如下:")            
print("正面:",b,"次")
print("反面:",c ,"次")
要计算连续出现正反面的次数,我上面这个应该用什么办法,请指教下思路,不要直接告诉我怎么写

      
      

弈秋呜呜呜 发表于 2021-3-11 21:29:22

暂时想到的就是加入一个变量用以判断是否连续与记录连续次数,大概就是图上的这样,不知道你能不能看懂
data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAsEAAAJuCAYAAABR+99PAAAgAElEQVR4AeydAZKkIAxF+1xzoD7PnGYvM4dxCzAKGBQVFfB11VYrQkgeif2bcWY/Ay8IQAACEIAABCAAAQi8jMDnZfESLgQgAAEIQAACEIAABAZEMEkAAQhAAAIQgAAEIPA6Aojg1y05AUMAAhCAAAQgAAEIIILJAQhAAAIQgAAEIACB1xFABL9uyQkYAhCAAAQgAAEIQAARTA5AAAIQgAAEIAABCLyOACL4dUtOwBCAAAQgAAEIQAACiGByAAIQgAAEIAABCEDgdQQQwa9bcgKGAAQgAAEIQAACEEAEkwMQgAAEIAABCEAAAq8jgAh+3ZITMAQgAAEIQAACEIAAIpgcgAAEIAABCEAAAhB4HQFE8OuWnIAhAAEIQAACEIAABBDB5AAEIAABCEAAAhCAwOsIIIJft+QEDAEIQAACEIAABCCACCYHIAABCEAAAhCAAAReRwAR/LolJ2AIQAACEIAABCAAAUQwOQABCEAAAhCAAAQg8DoCiODXLTkBQwACEIAABCAAAQgggskBCEAAAhCAAAQgAIHXEUAEv27JCRgCEIAABCAAAQhAABFMDkAAAhCAAAQgAAEIvI4AIvh1S07AEIAABCAAAQhAAAKIYHIAAhCAAAQgAAEIQOB1BBDBr1tyAoYABCAAAQhAAAIQQASTAxCAAAQgAAEIQAACryOACH7dkhMwBCAAAQhAAAIQgAAimByAAAQgAAEIQAACEHgdAUTw65acgCEAAQhAAAIQgAAEEMHkAAQgAAEIQAACEIDA6wgggl+35AQMAQhAAAIQgAAEIIAIJgcgAAEIQAACEIAABF5HABH8uiUnYAhAAAIQgAAEIAABRDA5AAEIQAACEIAABCDwOgKI4NctOQFDAAIQgAAEIAABCCCCyQEIQAACEIAABCAAgdcRQAS/bskJGAIQgAAEIAABCEAAEUwOQAACEIAABCAAAQi8jgAi+HVLTsAQgAAEIAABCEAAAohgcgACEIAABCAAAQhA4HUEEMGvW3IChgAEIAABCEAAAhBABJMDEIAABCAAAQhAAAKvI4AIft2SEzAEIAABCEAAAhCAACKYHGiCwOfzGe7+1wQYnIQABCAAAQhA4BABRPAhbAw6S+BuQXvHfGeZMB4CEIAABCAAgfsIIILvY/2ame4QnK3O8ZokIFAIQAACEIBA5QQQwZUvUK3utSpCa/W71nXGLwhAAAIQgECvBBDBva5swbhqFY5v8KvgMmIKAhCAAAQgAAGPACLYg8GhI1CjuHxqbWDxFHnmhQAEIAABCFxLABF8Ld/qrT8l8qoHc9DBJ3gedJVhEIAABCAAgVcTQAS/bPnvEmkvw5od7h38s52hIwQgAAEIQODFBBDBL1j8q4TXC9DdFiJrdBtqJoIABCAAAQhYAojgThOhtKjqFFPVYbGGVS8PzkEAAhCAQOMEEMGNL6DvfinR5NvkuC4CpdbY2OEFAQhAAAIQeDMBPgkbX/0SoqhxBK92n/V/9fITPAQgAAEInCCACD4B76mhZ4XPU34z7/UEyI3rGTMDBCAAAQj0QQAR3NA6nhE4DYWJq4UInMkXM5YXBCAAAQhAoGcCfNJVvrpnhEzloeHezQSO5tLNbjIdBCAAAQhA4BYCiOBbMO+f5Ihg2T8LI95KgPx668oTNwQgAAEICAFEsJCo5B1xUslCvMQN8u0lC02YEIAABCCwIIAIXiB5pmGvGHnGS2btmQA52PPqEhsEIAABCMQEEMExkZvPER43A2e6TQLk5CYiOkAAAhCAQAcEEMEPLmKu2HjQRaZ+OQFy9OUJQPgQgAAEOiaACH5gcREWD0BnylMEyNlT+BgMAQhAAAIVEkAE37goCIkbYTPVJQTI4UuwYhQCEIAABB4ggAi+CXqOeLjJFaaBwGkC5PNphBiAAAQgAIGHCSCCL16AHLFg+vCCQGsEyO3WVgx/IQABCEDAJ4D68mkUPs4RCYWnxBwEbidAnt+OnAkhAAEIQKAAAURwAYiaiS1hoI2hDQItEyDnW149fIcABCDwPgKI4AvWHDFwAVRMNkGA3G9imXASAhCAAASGYUAEF06DNRFQeCrMQaBaAmt1YK7xggAEIAABCDxNgE+jQivAh34hkJjphgA10c1SEggEIACBLgkgggssKx/2BSBioksC1EaXy0pQEIAABLoggAgusIxrH/QFzGMCAk0ToD6aXj6chwAEINAtAUTwyaXlA/4kQIa/ggB18oplJkgIQAACTRFABJ9YrtQH+wmTDIVA1wSoma6Xl+AgAAEINEUAEXxwuVIf5qadFwQgoBOgbnQutEIAAhCAwP0EUGwHmPNBfgAaQyAwEqB+SAUIQAACEKiBACL4wCqkPsQPmKp8yN/w+/MZPt9/lft5hXv/hu/nM/hrXQ8Gty4/v39XBH6LTZ+rf3zL5EwCAQhAAAIQ4D/L2J8D/ge2f7zfUgsjnBA8K7b+fUMx6XNLHquKcylMk+OtgP0Omnz/+/0JxK1uYzn278+Jzrzx6zEL0y1bKoahfRFssl/nzvfyFu4M+AgBCECgBwJ84uxcRe2De6eJdrr//Q4/n8+gCrF/36SIEYEngVoRrBjZ2z4MTgQrpmSq+d36txSypoMVnj+/wyX7qHbenyF3kzbtSxRrEE8fItisxavqac5OjiAAAQhAoAICiOAdi6B9YJu2bl9rgi4QZUJAF2d7xW6qv4jg1Dos2+8Xwdb3HQI7EMH2S4cI6PeK4K5rSkqFdwhAAAIQeJxAxwquPNulyOoTX/wsbBj3KCz3iuDo+drQpvLogLrdGwnDtSVW/XMDAuG5ZmP3tR3+jbYDX14ogg0GLRd2o2cABCAAAQhAYCeBPlXcTgg53bUPatPW78vt6vq/FBcINlVk3rMTrOrjeCFU/1wnG8deUR7t7h6yMc7pPy4SMEUEB4I4XlLOIQABCEAAAiUJ9KziSnIKPpxFEBedoDpjy13NQLCpIvMeESz8t9+3HofQ/Q2XwnHwvwyY6wEL06DyiBku5wvsvFQEG3zaWobrwBkEIAABCECgLAFEcCbP131IW1Enz6c6SMGzuqroW4o8M9KO27vzqm73xqJyZfFU/1x/X3j6x6o1a2f5y4GLcep8sb9LPoEdK4JFuEdjA/tLO6rvDTW+rr4aWhtchQAEINArAURw5sq+7UM6EGeWkRNl04/yA1EmEHVxFohn6SriWBG7qf7e0FOHQWxWeC5FrpvAxfOJHoUw1wIbpmEUy1qezCEu+QR2AqaI4FOLzGAIQAACEIDABgFE8AYgc1kTNhnDGu4yir9ZvRnVN/x8vJ3hQLBJqEuRJ1e092yxuyIwtbXR2ibxLgLWi83tVMsO7OypFah+zPOlhAiObURCVvn7vojgGaq2bvNVjiAAAQhAAAJlCSCCM3i+8cPZCcNZ9AZizTDLEcGFxWtyqVRfkr3d4xmeCJ7+9JrfNu4Q++LZt5jHY58IDm1GY4MY933Z8P2u+fiNdVbzeuAbBCAAgd4JIIIzVvi1H86jiP3+c4IsEISBKBOImeJsHPs1/5Pc9zt8P/EOqthT3uMdadNF9UUZa5sSPo6xuhhdn/iX4XyLoWBN+RAJ2Y2dYPvFY3r0IhobxJiIwXewwePX1lmDa4XLEIAABHoggAjOWMVXfziPO6KfWKgGokwgboszKx5HW9PjEJqwFZPReygUx4ujgNXWybT5G7xu13fe4fbNO9/Gv1k8iVG/x3ysi2Dl7x0H86/xcaLXxaD7580+/P58huBLyXyx2SNt/ZoNBschAAEIQKB6AojgjCV684ezeyxCEYa7RfAo8jxFOolguwbu+qqwmwR5JBJVXxILu9Y3EtOeqwtjugiOd7Sj3VxlJ1gM++JemKfnXxPTYrG99zfXWXurhccQgAAE2ieACM5Yw7d+ODsxJoLTCa9pRzgSjD6jUMjKDqfYmYGHIti1iwAMbZhr4/zff96fXBtF55qwnaezR8Z+0ra3azvtCid2hEuKYDdXyGeaX1XCiOBoWTmFAAQgAAEI7CaACM5A5gs8Oc4Y1nCXSPBOkcxCVH8ONxRnImhVHWcfozXPBP+brPsHMtZdH+cNBKn4qD+CIOs0vZt5rFj2xaZnQ/UjfX0SqXv//vEnFOEuTt+nmYKbwxf6fqzxrvM8rtWjaa08pq3Ggt8QgAAEIFA/AURwxhq97cPZPG+aEqcTLnX31YnG5U7rNCo4sAJQFZ9BN+WvOYTXc8/MfM63WdxmTG/Nh6Jc+TvBWU6EfKzNQNhnGem209vqrNuFJDAIQAACjRBABGcuFB/QmaDoBoEDBKivA9AYAgEIQAACpwgggjPx8SGdCYpuEDhAgPo6AI0hEIAABCBwigAiOBMfH9KZoOgGgQMEqK8D0BgCAQhAAAKnCCCCM/FpH9KmjRcEIHCOALV1jh+jIQABCEDgGAFU3A5u2of1juF0hQAEFALUlQKFJghAAAIQuJwAIngHYu3D2rTxggAEjhGgpo5xYxQEIAABCJwngILbyVD70N5pgu4QgMBIgHoiFSAAAQhA4CkCiOCd5LUPbdPGCwIQ2EeAWtrHi94QgAAEIFCWAOrtAE8+vA9AYwgEPALUkAeDQwhAAAIQeIQAIvgA9tQHuGnnBQEIrBOgftb5cBUCEIAABO4hgGo7yJkP8oPgGPZqAtTNq5ef4CEAAQhURQARfGI5Uh/oJ0wyFAJdE6Bmul5egoMABCDQFAFE8Mnl4kP9JECGv4YAtfKapSZQCEAAAk0QQASfXKbUB7u0nzTPcAg0T0BqIfXefIAEAAEIQAACTRJABBdYttSHu7QXmAITHRP49/0MP79/6Qj/fYfP91/6+vA3/P58htUuK6OvvCQ1kHo/Mrfh9fn8DGvIjtidxzieq2sydx6sPzXC93zkEAIQgAAElgQQwUsmh1pSH/LSfsgog15A4G/4+/c7/Hw+utD9c9d+fn6HtAwuL4L/fn+Gz8/vsCLNN9dGcj/1vmlA62C+EBhWKV7+GL+vjNHeFwIWEexj5BgCEIBArwQQwQVXdvpw1j5o+fNpBUlfY8oKv893RWxeM6+1Ogq2UI/9G76fjV1iO3hdBLud01E4BrmZjvXv79fOvb4DneZxTS04HtYnlVfaH3Nlbcc2vBaL4HHegJ3GM9WW5rzuMVchAAEIQOBKAojgC+heIwAucLQTk07kHRcaTvyKgDluJx9nIVG1sdMpP84PBd7opR27FWuuCJ8jvy73nTD9eF9S9n1pcbGEXzJmv0NGsQie+2lH4VitB20QgAAEIFAjAUTwRatynRi4yOFmzS7FUXYo8qiBfbj0hJ3sCVMdVwRalliNRVt4roq0LLt2+3TwhWcqAtN+Xc6n18bGlvHYxpZgDhmF/NZiNtfCsVu9uQ4BCEAAArUQQARfuBJbosBc53WWQFog7bNcys6+WV3vsyI43rENRZwq0naJ4MTzymOo1+b59rpsC2GxIbv987u+Wx7ys2FaXvO4nJilT2r3+UimMAYCEIAABMoRQIWVY6lakg/CrXd1cAWN4aMCuhiyIiR4XnL5Y3bXR/mN/mA31gUscxrxENv2BYX0i9mKsNmHT4TS0vd9do70rlcEz/yVtcvY/TVrc/g15kb4C3rjOkW7v8n8MpOrgj9kbsdPyaWI4JUgwrErHbkEAQhAAAJVETjxCVVVHNU7Ews17byuIEQURuLn39f7U1xOSIQ/LtfHJUXKigg2jCZdMv4ZsOWfxpL5zorXUnaOrGIoyAILqoALehiVZ3+JLWYl56pI22HXfKmIbWj5W6RtFLfyBWf5hWZcp0gEWyLjbm04xrEJ20QYz7kdxufmWIyJsY/n4dhEJ5ohAAEIQKA6AojgG5ckVyTc6FJyKhEhIqS0jvbDX/17raM49oRKsu+aCI4nl53BoL2UeC1lRyO11RaLWK//DrE6Y3GxyLkq0nLs2j6jUByP78hhlyupLzXjOnm55dEaBvmy5ItppW/MJDx3c4gIllrIjV3rJ7ZCXzmDAAQgAIEnCSCCH6CvfUhqbQ+4Nk65JTRMt1HoitKKnHVCJtpp0wTzighemtbmHH31/mpA5ErmaSk7W9PJPMeeL53yxIdjGc6sRQhKl1Dgjf5tiuDRz9HING/w2Msyhq3oz18f/VKE7cK2x8Xlo/H3O/yzsfs/ZYh/uc3NsS1cXT7+fL/Dz+n8W3hPAwQgAAEIXEwAEXwx4JT5XFFh+t3+UndcIy8U8er3cLtnszCLRfHUV7EjO28i4qa+IrwDASSicrlzOAsfT6wtjY7m03bm+S868sTaYoZNsSo/2vfjD3eWD4ngnTu/9+Vpvgg2cYfLLWu8fLY9ZOT6rYvg8AuZGb/oPzK87n+2W2QLDRCAAAQgsIPAAwprh3cv6LpHDN8mNDoRwfvSRwSSLyb3WTjce03orl0bJ7RfGoIvBmdF8L/NP3fm5+3huA8NzBfBmnkrdpVd230ieBTAC+bjlz6pH/uTj7/h78x/u6cFQRsEIAABCBQhgAgugvG8EV9U5Byfn3HNgvYhH/cPd8IWV7/jj57HC058zDvDU/8Ld4KnObIOnhPBlk0gqDyHN0Wwtmt5TATn5J3fx/PyxsPjItjlYLw77FzPFcHyUwrLIdxmHv8KhfupQ3zpRkBMBQEIQAACmQQQwZmg7urmi4zc4yt8S4pWb7J0n6VAFvEQiwNp93+ULG1x3+k55EAwlhKvO+1YcaoLKg/R9uH4JWAZ6zh0SwTb8fGXC8N/bhPxt8yn764dXxnv/uTYbH87yJI9johgWdvc9XL9/Zwcgt3d+BliL75SeeGZ5BACEIAABK4hgAi+hutpqyI49ryfnjQwMApZT0zZy9l/Ii16rEBEhC9gpe0TPk+5TwQPQ7p/ENDGiQilyO/EKDdnXt+EicVfMlD7bYhgK3B9psZINMb2iVT2nrySvr5/ZeL3LeYe7xTBU47tEe2hCNbyK2Qa506idnJDpB8EIAABCNxCABF8C+bjk4gA2ft+fMZw5GIXMRJT8pcIAv9iUSYmJ0Ey/qKa6Te2+btumuhwJkZxsbAvIsTZ9W3J1NvvYiNP2Kric3sSr0fmfJGg9QyMYncUdxFbn4EItmCNNv7Kg983mNM7cbmxR1x6gw8fjtwWOaAZHPsuclbpO+7gznGv50FYFykGssbLX8RTPKAJAhCAAARuJoAIvhn40enmD+dRQBYQMUd9YZwT477Q3MskW0SviGBjY8uHq/Mm/YVlL5Hc/ntEcK7Nvf3Or//eGekPAQhAAALlCSCCyzO93OIZYWPG8jpJwO66pnb/Tto+OZzcOAmQ4RCAAAQg8BoCKKLGl/qs6EEUt50ArH/b64f3EIAABCDwHAFE8HPsi85cQgyJjaKOYawoAVmjEu9FHcMYBCAAAQhAoDECiODGFizX3RIiybeROy/9yhLw16DEcVnvsAYBCEAAAhBolwAiuN21y/a8hHiKbWRPTscsAjHfUudZk9MJAhCAAAQg8EICiOCXLXopcbVm52VId4W7xq3UtV0O0RkCEIAABCDwUgKI4JcuvIRdSnjtsSNz9/i+h0Opvj1yJCYIQAACEIDA1QQQwVcTbsx+KWFW0s6TCEvGUcrWkzyYGwIQgAAEINALAURwLyt5YRylxBt2+I9OLkxTTEMAAhCAAAR2EUAE78JFZyGAoN0vaLeYCVveIQABCEAAAhC4ngAi+HrGr5thS+y9+frrkoGAIQABCEAAApUSQARXujA9u9WzCO553YgNAhCAAAQg0BMBRHBPq9lpLE+K5k6REhYEIAABCEDg9QQQwa9Pgb4BrAnoviMnOghAAAIQgAAE1ggggtfocK1pAmsCWK41HSDOQwACEIAABCBwmAAi+DA6BtZOQITu2nvtMeAfBCAAAQhAAALXEEAEX8MVqw8TWBO+8bWHXWV6CEAAAhCAAAQeIIAIfgA6U15PIBa6a+fXe8MMEIAABCAAAQjURgARXNuK4M9pAinBawyvXTs9MQYgAAEIQAACEGiGACK4maXC0VwCmtD1x2rXTRsvCEAAAhCAAATeQ4BP/ves9SsizRG4OX1eAYsgIQABCEAAAi8mgAh+8eL3Fvoecbunb2+ciAcCEIAABCAAgWFABJMF3RDYI2z39O0GEIFAAAIQgAAEIDARQARPKDhomcARUXtkTMuM8B0CEIAABCAAgZkAInhmwVHDBDRBmxPO0XE5tukDAQhAAAIQgEC9BBDB9a4NnmUS0ISsact5nRmbY58+EIAABCAAAQjUSSBPKdTpO15BoMjf/UUIk0gQgAAEIACB9xFABL9vzbuKuISALWGjK6gEAwEIQAACEHgBAUTwCxa51xBLiteStnrlTVwQgAAEIACBnggggntazZfFUlq4avZehpRwIQABCEAAAq8hgAh+zVL3FagmWE3bmdcVNs/4w1gIQAACEIAABK4jcE41XOcXliGwSkATrKsDMi9qds+K68yp6QYBCEAAAhCAwI0EEME3wmaqMgSuFKpX2i4TPVYgAAEIQAACEChBABFcgiI2biNwh0i9Y47bgDERBCAAAQhAAAIqAUSwioXGWgncIVDvmKNWvvgFAQhAAAIQeAsBRPBbVrqDOO8Up3fO1cHSEAIEIAABCECgOQKI4OaW7L0Oa8L0Shp3z3dlLNiGAAQgAAEIQCAkgAgOeXBWKQFNkJq2K19PzHllPNiGAAQgAAEIQGAmcK2KmOfhCAKHCTwpRp+c+zAwBkIAAhCAAAQgsEkAEbyJiA5PE3hSiD4599PcmR8CEIAABCDQMwFEcM+r20FsNYjQGnzoYCkJAQIQgAAEIFAVAURwVcuBMzGBWgSo5kfsK+cQgAAEIAABCLRDABHczlq9zlNNeJq2J141+fJE/MwJAQhAAAIQ6I3AM4qiN4rEcwkBTXheMlGmUc2fp0R5pst0gwAEIAABCEAgQQARnABD87MEahScNfr07CoxOwQgAAEIQKBdAojgdteuW89rFps1+9ZtQhAYBCAAAQhA4AICiOALoGLyHIGahWbNvp2jzmgIQAACEIDAuwgggt+13tVH24LIbMHH6hcaByEAAQhAAAIPE0AEP7wATB8S0ARm2KOOs1b8rIMWXkAAAhCAAATqI4AIrm9NXuuRJixNW42vlnytkR8+QQACEIAABJ4mUKfCeJoK899OoEVR2aLPty8sE0IAAhCAAAQqJYAIrnRh3uZWi4KyRZ/fllfECwEIQAACEEgRQASnyNB+G4GWxWTLvt+2wEwEAQhAAAIQqJAAIrjCRXmbS5qQbIlB6/63xBpfIQABCEAAAqUIIIJLkcTOIQKagDRtLb16iKEl3vgKAQhAAAIQKEGgLbVRImJsVEVAE5BVOZjpjBZHa2I+M1S6QQACEIAABLoggAjuYhnbDKIn4dhTLG1mE15DAAIQgAAE9hFABO/jRe9CBHoUjT3GVGi5MQMBCEAAAhCojgAiuLoleYdDPQrGHmN6RzYSJQQgAAEIvJEAIviNq/5wzD2LxZ5jezhtmB4CEIAABCBQlAAiuChOjOUQ0IRizrhW+vQeXyvrgJ8QgAAEIACBNQKI4DU6XCtOQBOIpq2n1xti7Gm9iAUCEIAABN5JoC/18c41bCbqN4nDN8XaTALiKAQgAAEIQMAjgAj2YHB4LYE3CcM3xXpt1mAdAhCAAAQgcA0BRPA1XLEaEXijKHxjzNGycwoBCEAAAhColgAiuNql6csxTRD2FaEezVvj1mnQCgEIQAACEKiHACK4nrXo1hNNCJq2N7zeHPsb1pcYIQABCECgXQLvUCLtrk/zniMChwEGzacxAUAAAhCAQIcEEMEdLmpNISEAEcE15SO+QAACEIAABIQAIlhI8F6cAAJ4RgqLmQVHEIAABCAAgRoIIIJrWIVOfUD4hQur8Qh7cAYBCEAAAhCAwF0EEMF3kX7ZPJrgM21vfsHkzatP7BB4D4HUvW5P+3toEemTBN6tSp4k3/nc2s2u85CzwoNLFiY6QQACFRPQ7mN3tlWMBtcaI4AIbmzBWnA3dTNswferfYTN1YSxDwEIlCaQum/V1F46Zuy9gwAi+B3rfFuUqZvibQ40MBGMGlgkXITAiwmk7lGttL946Qh9JwFE8E5gdF8ncNVNcn3We6++IcZ7iTIbBCDwNIGr7mtP232aK/PXTQARXPf6NOXd1Te7GmC8IcYaOOMDBCBwPYGr7mclPL/CtxJ+YaMvAojgvtbz0WiuuGn5Nh8Nbpzc9+eK4xpixAcIQKBfAqXuW08Rat3/p7gxr04AEaxzofUAgVI3p5SdAy4VH5LyrVR7cYcxCAEIQGBI/8+VOfeu2gHmxJDqU3ts+HctAUTwtXxfZz11oynRXgPMEnGkbNQQHz5AAAL9EEjda7baWyewFV/qeutx4/9+Aojg/cwYcQMB7SZ1w7SbU9Tq16bjdIAABF5DQLtPbbX1Cmcrbu16ryyIa0kAEbxkQksFBGq9MdXqVwVLhgsQgMDDBLT701rbw+7ePv0aC+3a7Q4y4e0EEMG3I2fCHAK13pBq9SuHKX0gAIE+CWj3pbW2PinkR7XGRruWb5merRFABLe2Yi/xt9YbUa1+vSQtCBMCEIgIaPekVFs09PWnKU5a++thdQoAEdzpwrYeVq03oVr9an298R8CENhHQLsXaW37rL63t8ZOa3svoT4jRwT3ua7NR1XrzadWv5pfcAKAAASyCGj3IK0tyxidFgQ0llrbYiANTRJABDe5bP07XetNp1a/+s8IIoQABLT7T9wGpTIEYq7aeZmZsPIkAUTwk/SZO0mg1htOrX4lQXIBAhBonoB239Hamg+0sgA0xlpbZW7jzg4CiOAdsOh6H4FabzS1+nXfyjATBCBwJwHtnhO33enPG+eKeWvnb+TSQ8yI4B5WscMYar3J1OpXhylASBB4NQHtXhO3vRrQA8HH/LXzB9xiyhMEEMEn4DH0OgK13lxq9eu6lcAyBCBwNwHtPhO33QfTfM8AACAASURBVO0T8zkC8Tpo57BqhwAiuJ21epWntd5YavXrVclBsBDomIB2j/HbOg69qdD8NUkdNxXQS51FBL904WsPW7up1OBzrX7VwAYfIACB4wS0e0vcdtw6I68gEK+Pdn7FvNgsRwARXI4llgoSqPVmUqtfBdFjCgIQuJmAdl/x2252h+l2EvDXSjveaY7uNxJABN8Im6nyCdR6I6nVr3yy9IQABGoioN1T/LaafMWXNAF/zbTj9EiuPEkAEfwkfeZOEqj1JlKrX0mQXIAABKoloN1PpK1ap3FslYCsX+p9dTAXbyeACL4dORPmENBuIDnjru5Tq19Xx419CECgLAHtXiJtZWfC2t0EZB1T73f7w3xpAojgNBuuPEhAu3k86M40da1+TQ5yAAEIVE1Au4f4bVU7j3PZBPw11Y6zDdHxUgKI4EvxYvwogVpvGrX6dZQz4yAAgfsIaPcPv+0+T5jpDgL+2mrHd/jAHOsEEMHrfLj6EIFabxi1+vXQMjEtBCCQSUC7d/htmWbo1iABf53j4wbD6cplRHBXy9lPMPGNwpzX8KrVrxrY4AMEIKAT0O4b0qaPoLU3ArLe2ntvsbYUTx3KoiVi+HoLgVpvFLX6dcuiMAkEILCbgHbPkLbdxhjQNAFZd+296cAadh4R3PDi9ex6rTeJWv3qOReIDQKtEtDuF9LWakz4fY6ArL/2fs4yo48QQAQfocaYywnUeoOo1a/LF4QJIACBXQS0e4W07TJE5+4ISB5o790FW3lAiODKF+it7tV6c6jVr7fmCXFDoEYC2n1C2mr0F5/uJyD5oL3f7817Z0QEv3ftq4681htDrX5VvZg4B4EXEdDuEdL2IgyEmkFA8kJ7zxhOlwIEEMEFIGKiPIFabwq1+lV+BbAIAQjsJaDdH6Rtry36v4OA5If2/g4Cz0aJCH6WP7MnCNR6Q6jVrwRGmiEAgZsIaPcGabvJBaZplIDkifbeaEjNuI0Ibmap3uVorTeDWv16V3YQLQTqIqDdF6StLk/xplYCki/ae60+9+AXIriHVewwhlpvBLX61WEKEBIEmiCg3ROkrYkAcLIaApI32ns1TnbmCCK4swXtJZxabwK1+tXLuhMHBFojoN0TTBsvCBwhkMoncuoIze0xVOo2I3o8QEC7ETzgxmLKWv1aOEoDBCBwOQHtfoBYuRx79xOQV/ctMSL4PtbMtIOAdhPYMfyyrrX6dVnAGIYABFQC2r3AtPGCQAkC5FcJits2qNhtRvR4gIB2A3jAjcWUtfq1cJQGCEDgMgLafUDaLpsUw68jIDkVv78OxIUBI4IvhIvp4wTiojfnNbxq9asGNvgAgTcQ0O4B0vaG+InxPgKSV9r7fV70PVMdyqJvxkR3gECtRV+rXwcQMwQCENhJQKt/adtpiu4QyCIg+aW9Zxmg0yoBRPAqHi4+RaDWgq/Vr6fWiXkh8BYCWu1L21sYEOczBCTPtPdnPOpnVkRwP2vZVSS1FnutfnW1+AQDgQoJaLVv2nhB4A4C5N81lKnga7hi9SQBreBPmiwyvFa/igSHEQhAQCWg1b1p4wWBOwmQh+VpU8XlmWKxAAGt2AuYPW2iVr9OB4YBCEBAJaDVvGnjBYEnCJCPZalTyWV5Yq0QAa3QC5k+ZaZWv04FxWAIQCBJQKt508YLAk8QSOUjOXlsNajkY9wYdTEBrdAvnjLLfK1+ZTlPJwhAYBcBrd4RG7sQ0vkCAuRlOaiI4HIssVSQgFbkBc0fNlWrX4cDYiAEIKAS0GrdtPGCQA0EyM8yq0BFl+GIlcIEtAIvPMUhc7X6dSgYBkEAAioBrc6lTR1AIwQeICA5Gb8/4EqzUyKCm126vh2Pi9qc1/Cq1a8a2OADBHohoNV5LfegXhgTx3kCqTwlV/PZ1qEs8v2l50sIaMVdQ+i1+lUDG3yAQA8EtBpHVPSwsn3GQL6eW1dE8Dl+jL6IgFbYF021y2ytfu0Kgs4QgIBKQKtv08YLAjUTIG+Prw7VfZwdIy8koBX1hdNlm67Vr+wA6AgBCKgEtNqWNnUAjRCoiIDkavxekYtVuoIIrnJZcCouZHNew6tWv2pggw8QaJmAVtu13Hda5orv9xAgf49xrkNZHPOdUR0T0Aq6hnBr9asGNvgAgVYJaHVt2nhBoCUC5PH+1aLK9zNjxA0EtGK+YdrNKWr1a9NxOkAAAkkCWl2bNl4QaI2AlsutxXCnv1T5nbSZK5tArYVcq1/ZYOkIAQgEBLSaNm28INAiAfJ536pR6ft40fsmAloh3zT16jS1+rXqNBchAAGVgFbPpo0XBFomQF7nrx7Vns+KnjcS0Ir4xumTU9XqV9JhLkAAAkkCWj2bNl4QaJkAeZ2/elR7Pit63khAK+Ibp09OVatfSYe5AAEIqAS0WjZtvCDQAwHyO28Vqfg8TvS6mYBWwDe7oE5Xq1+qszRCAAJJAtRyEg0XOiFAjm8vJCJ4mxE9HiBQa/HW6tcDS8SUEGiWgFbHpo0XBHoiQJ5vryZVv82IHg8Q0Ir3ATcWU9bq18JRGiAAAZWAVsOmjRcEeiRAvq+vKpW/zoerDxHQCvchV4Jpa/UrcJITCEAgSUCrYdPGCwI9EiDf11eVyl/nw9WHCGiF+5ArwbS1+hU4yQkEIKAS0OrXtPGCQM8EyPv06lL9aTZceZBAqmhrbH8QE1NDAAI7CGj3jx3D6QqBZgmQ+/rSIYJ1LrReSEArxpbbLkSFaQhAoBCB1D2mkHnMQKBqAuS/vjyIYJ0LrRkEUkX1tvYMVHSBAAQeJqDdlx52iekhcCsBamCJGxG8ZPL6Fq1QaPsMOQxenzwAgECFBFK1W6GruASBywhQB0u0iOAlk1e0pIqB9jyxe5bTK5KMICFQCQGtXitxDTcgcCsBaiHEjQgOeXR1piU7bfeI3DOcu0pCgoHAwwRStfiwW0wPgUcIUA8hdkRwyKPZs1Ri19ZeG+Da+KT8qY0b/kCgFQJaTbXiO35C4AoC1MRMFRE8s2jmSEvgJ9qaAXaBo0/wjue8ICxMQqArAnHNyHlXQRIMBHYSkDqI33ea6aI7IriBZYwT9erzBpA04eLV6xTbbwIKTkLgRgJxjZhzXhCAwKD+ovcbuXBHqHDVtRt36bYKw36VS6XXU7P3KqAEC4GIgFYTpo0XBCCgi+A31gd3hAqqIXWzLtFeQXi4sINAiTVP2djhBl0h0DwBrQ6aD4oAIFCQADUyDIjgggm1x5SWfGfb9sxP33YInM0LbXw70eMpBPYT0HLetPGCAARmAtQJInjOhhuOUgl3pP0Gd5miYgJHciY1puIwcQ0ChwhouX7IEIMg0DmBt9cKX40vTnAtwfa2Xewi5jshsDevtP6doCCMFxPQ8tq08YIABJYE3l4v3BmWOXG6JZVUe9pPO4GB1xPYk29a39cDBECTBMjlJpcNpx8k8OaaQQQXSjwtifa0FXIDMxBQCezJRa2vapRGCFRGQMtd08YLAhBIE3hz3XB3SOdF1pVU8uS0Z01AJwgUJpCTm6k+hV3BHASKEtDytugEGINApwTeWjuI4IMJrSXMVtvBqRgGgUsJbOWtdv1ShzAOgQMEtDw1bbwgAIFtAm+tH+4Q27kR9Eglylp7YIATCFRKYC2HU9cqDQW3XkhAy9EXYiBkCBwm8MYaQgRnpouWHGttmWbpBoEqCazltnatyiBw6lUEyMtXLTfBXkDgjTWECN5IJC0pUm0bprgMgSYJpPJda28yQJxunoCWi6aNFwQgsI+AVkv7LLTVm7tEYr20REi1JUzQDIGuCKTyX2vvKnCCqZ4AOVj9EuFgIwTeVkuI4CgxtQRItUVDOYXAKwik6kFrfwUQgnyUgJZ3po0XBCCwn8Db6ok7hZcjqcWP270hHELgtQTiukidvxYQgd9CQMu7WyZmEgh0SuBNNYUIHoZBW3CtrdN8JywInCKg1YrWdmoSBkMgQYBcS4ChGQIHCWg1Zdp6fPUZ1Y6VSi22377DHF0h8FoCfs2kjl8Lh8AvIUCeXYIVoxBQNwd7xPJqEZy6gUp7jwtOTBC4moDUT+r96vl7sB+z6yGmK2KIOZlzXhCAwHkCb6mt194xtAX2286nEBYg8F4Cfi1px+8lsx25xktr27bUdw+NiWnjBQEInCfwlvp65R0jtbjcQM8XDhYg4BOg1nwa28drvHKubc/QTw+NRz/REQkEnifwhhp7lQjWFtRvez7l8AAC/RHwa0w77i/i4xFpfM62Hfem3pEpJvV6jGcQaI/AG+oMEfz52AfA20tPPIZAOwRSN1PTzmsmsMap5LV5xjaPUizajAav6yLwb/h+PsPP719dbj3kjVZrD7lyybSv+QTSFlLaLiGLUQhAICAg9aa9Bx1ffKKxubOtFfQak7K+/w2/P5/h+6+s1dLW/n3NJs7PsF+vOaGXE5+dY+qojPv3HT6f77COyo0z63aVuAz99Ej//Q4/m/7N/f9+fzLimfvvOUr6uGLErbHO1/l6ZP1XJowuXV9r0YQ3n75CBGuLKG0382Y6CLyagNSd9i5gtGtvbhMu/vudPPx5azhOxV7WtwZEsBWf7ieZn0mkpigYEeoLqVjMxtdnO6FwG8d9v8Pn53ewe6W+CB6Pf62QHH2zP22d5/77u2aHNfRz9N8KYPNl5m/Im9bFl8qxtXa3BCZv5lhniuYoZh5eVc8m/7WrLke3114bm9+WijnfQt09uxfBqQU07bwgAIH7CazVJNd84eCOc1foTna5Pl3RT4uz/DzrItjtzi3XantHtJSno1gzymsUw6s6+O9v+DW7xlOnUJDZeH5+hl+zneuLWnuqjfP4TP1dm9nptTuUIpJLhbxhZyGCRy5avkxtkY+OwyjuN+bTL4/CNLJr+u7bYV4R47KGq/GlhLju9VbrxGt8fNSc9/LqJ5LEimiL19MCJsKmGQJVE0jVJe1LYXV2Ie9ietbP3PFaPLljN/utCov5R/kLwWUMT2Jwc5aTHUah5e3s5gksJ6zc4wieCLZ+ez9Sj+IIY53HTUJX+pv3UfxN105GujXczDNrwlmsW589Pgs71ud5Pe112+ZxWAzKbRjXRxyzw2TNlvUd5PMknmfO/qzzWjh72qMlebngW90+Dnzs7PeouhbB2sKZNl59ENi80fURZrdRpOqT9vCD8ooEuIvxXb6XnycWGeH5LEa8mUUMek3lD0VMLXf6rE+TiNJntgLJiDPvx+xmXKDXojjCWH1xZo5/ht9f90zw17NzpwiW3XfxU94NAeNHLBSdSJwFsyU18rB9R4GcVyMJ0ezxFT/Ez8TK2GfQUzv1MmaKLVojuZ43l9877zjFIm903b26VoTawtW9HHiXTyD9YZBvg55PE9BqlLbrRbC27ndx1+bObdN8zB27r58Te7OAqkEEb9/zrEjaEMKWQyTSAjaRwJqEl+3ki+BxVNTftN4lgodhXpfQT+fb39+v/UsPTlwKv0j0R498LHw38QXfEsa4LcOECBYGdtx6Lllri/VQOE9+/lrBPOfm6M/k1jW/2Hdf7YXxXH3WrQjWFsy08eqFgNzQljsivUT4hjhSdeq3v4FDrTH663D1cQ4DzYeccfv7rAsXTXBd+jjEKJLkcQMXz3gPjESv9W3xFyNcPBq/uW28l0aiNox1FGfmF+O850P9YyPOpt1WrU/k7/61iUaMIjX00+/jxZ4x99LOGHP85y82RPDkgfEvmHcW7tLHrZn/WabPGfhm5lfE+ULEyyQn3/01luOTJqsY3q0qlEXy36sg3ogTi5uYUmyucP1dK7+IXaCuj/Jtebyp+99mZU4zVWzbn176+Wtrjn1bV2Ce5vWdMRPZD43ox2tXONCpzXgd4/NOw242rHh9rjyPIWlzxX3KnMcixAkXKf1AjMiEnniM71+a35tto3CS+87y/qaLYOvOeE9ajhmdHe+/Eo+EMI+d7+VhrDEXdx7/qN/67Am/0EYwW7GTeA7hZjn7ga6K16VAnZlEn2OrdtbCGplNPrnzcK1izs5eEKPyGWp6xezXPNlzLZWve2zU2BcRXOOqPOrTeGONdxL+fb3nxrQbnz7OFm1sy8SnFLB/05ruD+OPu5Z/C1Pmm2/Wd2BbxjP64d3w7/CjpzlSN1dp7ynWXmORtbriXZilbMv1su+xCHF1LvelQIzIxJ4Ilqaz7+5+k7rHbd17Vq6vCbgojjDWiMsots39+cf702CxEAttnKWij5/mGD9bYmE+jVqLfeXPmBn7gVBdteM2R4L+4oD4t/qZIZ+x/ibTeCxJaOxZ/qE4j9nLtCXetRosYfdJG12KYG2hTBuvbQIiRP06i0fZm40mbMcbiP+jn2Tf8Ubg3yRk7sXzV3LTCJwab/BrvwEcOC79lZvK9CO71IeNZyjyxfkc3oS83hxmEkjVLHWbCbDSbmvruueaCU/rf1nYts79unb3D7kFTYLLdyASj/6la45XRO7WhIp4moZEcYSx+iJ4ZOI/GjECioVYaGOaqdyB9Tnzp3GLtV3+5FHLtc02SQ4bVXptHJvv8DV/ki75J5N9zjMmjaNt8wR1zH4eff5IY3De6rMWulSGPS7UPWmSLtx5/vEbalDw3tXofzCyBaoJ5lFMaiJ4aVqbc/Q1WwTPPp49csLX/HKF5tdZ6+8cr9WstL2TSB9RyxqefTc0NBuXUYqEYPwfHWhi5NJngtVAc+7XbqDcszSGfpu990axh7HO4mwSW9J/vKcbG/aadyMPbajBHG8c57VxfP+tP488bXh4myGegNTW0MTif05NjkrcU4N3oAhtd9WtmbEXM/JGmy1e+wt9HkJ7WeXocTedpnUJDRY583NFjosYftAIIvhB+NVNLTeTuPJ8R8c+6k1BCtATvbZovfPJlGLHFu9n+Zu7ckPwd5jlt4KTP/KaJrriQAS4uZFm7B5f4UJnNuWGqr13Fmq34WhrV6LNAEvZuQrmUkiEokQVI2ui6BJH80VwPL27LyfuXVEcYawjh9/f4Ufu635/c/z9536nw/scCW3E3pw49z5HFnOYa54P0yx2jL4Lu1z3Yfj79x1+tM8lP+7JuDmYhW7QbE78MSt+yGde7P4ixnEC6/fYOdVn4cuBhrvr8ICLu4cggncj63jAeENZPI7ghzz2QQSPOwn+LoLPieNdBFI3V9POqz4Ca+tV8ppErtmUa+XfNRHTkwh2sSTv875Qs7rNf8xg5PD1fkck6q+JwKuEmbErn0WLOf7+Dd+f+fqUJyvic2FjHOQ2aKIvDYu4x86p9nF3V/w1ve186mdImG/ie8o/uT7ZjNWz3+Hk8b21eNLZjOFdfsL0tkgZ61ioy3hzVItSpli/gdoi9XZH3bnyrVsR0+5Gc9VOsL976/0oLPjxWHSTk5Cjd+en/JF45SYb9ed0m4BWs9K2PZoeVxGQNbjjfS0Gbf61/qeuqSLJ3Pfm+5i7r2n3kbx7yCn/psHHdoKn+1fyedRpAnsQCi9FnMWiT+EX2gjtu91R7b4f9ds4VecYP2cCTaj450xrX37mSY19X8BavxeflSkb41oFjhjbjmdg106pcBbRvLAx+2gtBv89dnitxNmttVjC4Q0biOANQG+7bG8k3s1eiz/dxxWuv8OQErbS7he/tC1rfLQb3HDGm4onuDVfi7eNN1WJMc2i+MxdG9RurLQ5kXXXwt/Je09MKb/22NjT19Z0cK+x6iN49Mn2iW9UsRjcM+mhvuM9MPZ1zdZ4//Lvu2vdzbUwVkWcRXHb+3jkU2gjnNHd989/eUjOYfzz12pDBKfybb3d+a/Hon1+eQzUNVE4L9bCszEdpkT41OH0QYrDacMPGXiNCDYLxyuHwFiwsRDO/hNp0c1MRKN/U5S26G/77hPB4y8AaM9q5YR5qI8I73lHSP7UW/i88iHjrx6UurHSfs19606uZxNb8/WszeR4K+jG+vbuU8YHXziqgisSg8k5il3YK4I3xJjq1zjHJCLl80HbBTeM3P/QNnUfbaq8/Gv+54Pqx3bj2hzB6ELrpAle0+bniexyByI8cGY8kVybwK1wnvoohkY7a12UUbubbq3J3d7tG3DNHXafD5f07mmRLgG0YdTeUPxHBRZVJYLQuxmmbmRS4GLP9Bvb/BvGXhEsz57JWvu2NsI7dFmYxPOI35s3ukOz9j9I1o93r5akVgp8eb+L61WZqvl/1VymxuP6vmqu83b3iWB7/0rdo31n4vv1jp+22Xvh4rMi3k32J3NirwRzG58yt5ltukdLXSX6+Z7Fx3L/n/PR2wyJO09zrvcJh43C1/rmjmM34xiXPvnPb4fWS57NDOZ7Vkn7d9pCBN9Jm7kgAIEFAe2GStuxD5e7uC0W8cIGLaYLp8P0nQSs4N4jFO90jrlSBLSaNG0tvtr0OoN0T4uUES5dINAkgVSd0r4tgu9i9GRiaTE+6Q9zQwACjkAvtdmtCDbL1MsiUXQQ6JUANRqurMbjzrbQm+fPtNif9woPIACBXmrzdSLYLBwvCEDgeQLaTfTt9ZlickX78xmw7YEW9/YoekAAAlcT6KU2u1eE2kKZNl4QgMBzBKhLnX2Ky9l2fbb6W7W46/caDyHQPwGtNk1ba6/2PN5JOLVQLS7WztDpDoFqCaTqslqHb3IsxSW3/SY3b5lGi/mWiZkEAhDIItBDjXYvgs1Kagtl2nhBAAL3E6Ae15mn+MTt61bavxrHa855QQAC9RDooUZfc1fRFkva6kkpPIFAvwSk3rT3fqM+FlnM6JiVtkfFDMw5LwhAoB4CPdToa+4q2mL5bfWkFZ5AoD8Cfq1px/1FTERnCZAnZwkyHgLXEuihRl8jgk0qaAvmt12bLliHwDsJ+DWmHb+TClGvESBP1uhwDQL1EGi9Vl8lgiVttEWTNunDOwQgcJ6A1FXq/fwMWOiRgJYvPcZJTBBonUDrtfpKEWySTls4v631xMR/CDxJwK8l7fhJ35i7fgLkTP1rhIcQMARar9XXiuDU4vkLSopDAAL7Cfg1pB3vt8iItxEgb9624sTbKoHWa/XVItgknbaAcVuryYnfELiTQFw32vmd/jBXmwTImzbXDa/fS6Dlmn29CDZpqy2g1vbeFCdyCKQJaLWitaUtcAUCMwFyZ2bBEQRaINByzSKCvQzTFlJr84ZwCIFXE9DqI257NSCC300gzh9zzusogb/h9+czfL7/jhqYx/39Dj8/v8Pf3BIc/fv+DL+pi0HPa07+fffHacd8voNG5+/3Z/h81mOyfZJM/g3fz2cogf4aYuWstlyz3F2iPNAWM9UWDeUUAq8gkKoHrf0VQAiyKAHyqCROJ8R+iqjTtKB2gvEzlJknFb+ZXxesw3BAcBpRnxSp6Vh97xDBjkbLNYsI9jPaO9YWNdXmDeMQAt0SSOW/1t4tBAK7lICWS6aNl05gbSfTjlgVerrN1dZ/3+Xu6DjHtQLYeDUKU2Xn1YnwlECOI3KCWc012ba1cX4Sj0rO8yCCZ7Yaz/lqvUfcXTbWRlvYVNuGKS5DoEkCqXzX2psMEKerIUBO7VmKURQmfpxvLa2KuZTIc48VyO6utia5beWFsbZDKxxW4vl8hs8knvVd4/lxCmdP8z0W24dF8MajJXuyoJa+Wk7U4tuaH4jgNTreNW2B19q8oRxCoDkCa7mdutZckDhcHQEtt6pzshqHRPzNO5Oxa7Foi683eR7tbm/HGAvnDRFsvzjoTOO5Dong0f+t541bW5tWaxcRvCPTtEXeatthnq4QeJzAVj5r1x93Gge6IVBTfjnB4+0uyo/KPdrucQSvj7Ir6/oov2ClPEYgc5qpYtv+9NIv5hXvXrp+uqDzwkgepuaRecWneRfVmNJFZnKSAxesX3ZyN9cct7KLG4nmlH8uhl/7i4SzvdC5mKc9n3aYw77qPCKABVw8pOFzyQn/vYVwEMEHV8lf6Nzjg1MxDAKXEsjNX7/fpQ5h/LUE/ByT4/thyA5rJFz/fb3f9Hfi6xOIXn3cERFsYp91km53ekY28CGkZedOirSwr3aWFnmh0L1bBE++ml3bIL6lCHb8/S8Coe9iK4jBiNV5AaTLEPNwotj/EiTHZr5onvHRFMXsZL/lA6lX/72FeBDBJ1fJX/A9xyenZTgEThHYk6t+31OTMhgCGwT8XJPjjSHFL4uwWRMrTlhFItl6MopjT5gl+67sBC/+pJm6gyji2Bd4Pg65LsIs792POxZ9s/VQ4AUCMhJ/Lv68uWXNF+8ez9kH7WjkPwXhzsOd3dB3sRLEoKyN6RfziM/Flnuf53EMUusUjmr1bLFmjfxCKyK4UMZpCbCnrZAbmIGASmBPLmp9VaM0QqAggTrybhSOq6IrFlohBCd4ZoEcn0+9FaGVFuDanCJyC4mr0Z9JP4roM79UlvgnfQMBGYngKd6SB/+++p9jky8LOeunxSQBGV/tzu28jqYpFr3xeRjiuGafq/90XDjrk2danjzpT87ciOAcSjv7aImwp23ndHSHgEpgT85pfVWjNELgIgJV5KCIKF8MxfEq4tXv4oTsLJ6KiuBA3BUWwRmib45z3uU0bfeK4PQXFSdKv8P3Z+Y/+yxHoe9Tq/Kfbdi4POax6I3PxZZ71+cJ+/R1VkUN70SKCN4JbG93LSn2tu2dk/7vJLA3r1L930mPqJ8moOXj7T4hgoP/9S0t8kKBd6sItmukiVwnjs2jD9bv5BeZ0HfJsTCGsXXMBzEV84jPxZZ71+cJ+/R1VkUN70SKCN4J7Gh3LTnOtB31g3H9EDiTP/HYfqgQSasE4pw05/e/nHAJf9kq9mLsI8ooumzFlPfLau5cEW3KjrIVVcEvxYlxzS99J9jNl36EQeNsQ7E7weGjFeKPNsa0CYJQQF4p/mahK2Smd9//pFA2vXX/whgmq4GgjvscF8Hj2gnAebqmj7Q8qT2gJ+4ytTO5xT8tWc603eI0kzxG4ExuaGMfC4SJIZAgUEueOhGpiFbP73SfpUAWIRnrHWn3fZ4NpwAAIABJREFUf2lL2uK+ItxCca6LYM/NXYdubkUEe48DzAZDIRmKw/DaPKbAkS90A3NuTp+l9SnDdzETxiCt4XvcxzKL5zA+2rY1Dkt/w5naPKulhvfQQwTvoXVRXy1xSrRd5C5mLyRQYt1TNi50G9MQOE1Ay9vTRg8ZcAJl8Z8ZZP+JtFBIDuOObyBgpS36pal9Inj8RS1vR/ZQuOMgTTSqIs/23xZ4SyF/xjszNrULnNpVTQlN3fdY4Grexn0CPlagu/9tz43V5/Gv+aJdm6+1tnpqOJ8cIjif1W09tUQq3XZbMEykEii9npo9dWIaIVAhgRrz1woe/y8ILFSd7MR6jx7Eu4LC2hO9NlbTb2zzhdBeESzCUPj5tmTqvHddMAYizzdkfU/slo9xLXD54w8cOzbRF4zx0YbgC4ZvW2Esu+qxf7HA9c2446UIl/Wy/GODSdGu/+WJ5Xxttkgu+u81R4IIrnl1Rt/8ZLrjuAEkTbh4x1r5czQBBSchoBDw81iOlW40nSbgxK4wDt4XIm75J8GCLwa+4B/F5mTPv3baZ2fACM5A5C92XhMTiW9TfPsYTFYX4j61Az2NGP/MmvclafVLlTeu4cMpB7xYaw4HEVzz6iR805Ls7raEa69pvpu3Nt9rYBNo9wTI7+6XuGiAbgc2sROtzjQKXyuE3fGkicf+8U5wIPhF0MWD1Lne3dhaLSOCO8lXLfFqa6sVdW2cNH9qZYdfEChBgJwvQREbEHieQGu1jAh+Pmcu80BLRtoSP5qSb/oVvF+WEBiGQKUEtPtSpa7iFgQgsEKgtVpGBK8sZq+XtCSl7X5x3Gt+ERcE9hLQ7j97bdAfAhB4nkBrtYwIfj5nqvNAS2Layojk6hYbhyDwMAHt3vKwS0wPAQicINBSTSOCTyz0m4dqSU7btlB+c84QOwQ0Atp9Q+tHGwQg0AaBlmoaEdxGTnXjpVYcb2rrZiEJBAKFCGj1X8g0ZiAAgQcItFTTiOAHEoQpjxPQiqultuORMxICfRLQ6rfPSIkKAu8g0FJNI4LfkZPdRNlUcSl/aaKbhSAQCBQi0FJNFwoZMxDomkBLNY0I7joV+wuuqeJCBPeXgERUnEBLNV08eAxCoEMCLdU0IrjDBOw5pKaKCxHccyoSWyECLdV0oZAxA4GuCbRU04jgrlOxv+CaKi5EcH8JSETFCbRU08WDxyAEOiTQUk0jgjtMwJ5Daqq4EME9pyKxFSLQUk0XChkzEOiaQEs1jQjuOhX7C66p4kIE95eARFSUgFbPpo0XBCDQLgGtrmuNhrtNrSuDXyqBpooLEayuIY0QEAIt1bP4zDsEILBNoJXaRgRvryU9KiLQSmEZZC35WtES48qLCNRcI3+/P8Pn53f4U9fjb/j9+Rl+9YvqCBoh8CYCNde2vw6IYJ8Gx9UTaKWwDMiWfK1+4XGwSwL11ogRuZ/hJ6ly3fXP5zv8u2Vlxvm+98x2LKQWfDwWWXpUOk/+fT/DR1uvv9/hZ0feJO1ETuX2i4ZddlpvbYchI4JDHpxVTqCVwjIYW/K18mXHvU4J1Fsj/4bvZ2On14qZz6DpnPLLZfxZE+V5M1qhpDympa3D1JYd4E4RPPKb5tnhV7ZLeVhsL7vzv+KDPudOETzlzN/wl/lThFxxm9tvB5JTXbV1PWXwosGI4IvAYvYaAq0Ulom+JV+vWS2sQmCdQG01khZCP8PvP7OD91Hr2o8jvXu8zmL16iSelF7/vkmfYl9SQmlvu+LFMAw7RbBuxLa6dbhrl905kn78xX0BmUSw5S2+7RDBK+s05Y88fpPTdyMXJ39XOF95aYrJ8/PK+Y7aRgQfJce4Rwi0UlgGTku+PrKYTPp6ArXWiBGFsYB8dLGsKErsTAeiTLzUxdlesZvqL7OE7x2JYPulQ3jni2AjpEV8+uzs8dojEKPo1XLOtxPyDs9y+4WjrjurtbbjiBHBMRHOqybQSmEZiC35WvWi41y3BOqsEXkUQheSw2Cuy07gMAxGwIjyKbpSTnxpjFzb6MNeEeztzKVtezve2bEhgv0dbBGl8m5Sw1yPha4bk3h+2KZX+pqfbv48fvtTx1puPeXL2ryI4DU6XKuOQCuFZcC15Gt1C41DryBQZY0YUWl/LK2J4FGYfn+nZzr//v7ZX6JL/yWJs0u5FJdWOAU/OvdEuZ1O893odV1Q5bZPgm2vkPb6xyJQo+PmiWPSepZrC5ge3AmWR0JMjBrTv79f+2y3+9I0rutn/blya8fjp9XM1Jb9haUct5SlySfP91TfJ9sRwU/SZ+7dBFopLBNYS77uXggGQKAAgfpqxBeP/rEJVgSw9hcaRNBcIdzcvL6+CQTb3p1g39C4hppgsxEnRLO+9CMfEed6p6zWdkXw/JOBFNMpj4w4zGCVthOizO0XjrrurL7a1mNFBOtcaK2UQCuFZfC15Guly41bnROorkaCHcBQBFthpghIf4mMEMnZ6fTHbB5bkSvPp7regeDZK4K9nTmN/6JtI+bJ//GX93L+bJz1f68fcf9cvyYH1w+CLxY2FvlCE30JCXiHOeLPEKzR+CjExNb3Pcg534I7ju0se+zrlxpfun2K1Vu30nOUsIcILkERG7cRaKWwDJCWfL1tAZkIAh6B6mrEChzvedjpA3wWoUtRkhZCXqiHDwNxZq04UTaJ7UCUyTS6T0vfXf+97TJL8O6x8zVe0Cfz5PGd4IDpSRG89eUgRwRPeajlptd2Fnzm+uR0q662E04jghNgaK6TQCuFZei15Gudq41XvROou0Z0IbkQaBsi5twaOh+CX7yL5wsEm8ym+y5X4/eUCI77pc9nP8/bcr9AlrOjnPZn/5Xgy0bA9IAIli8EOaI0Xs/I9Vyeuf0i85ed1l3bc9iI4JkFRw0QaKWwDMqWfG1g6XGxMwL110dKSIY7sVZ8ZDzbeXT5rH3vP+4IxJoxGgg2mSXyXURZ7o6i0m/aeZYp/Hcr5MZf8LJzzTvnfrfc48UXjdyBJ/r5XP1jeYZ30rMB74izmX9kYfP7+8/+RQgt15NtUS7litvcficQ7R4ax7jbwA0DEME3QGaKcgTiojLntb5a8rVWhvjVL4H660MROONyOGH6Hf6NgmdVIJZYwlHEfv+FAtyaDkSZTJb2XXr4Y7/2F+C+4Z9+Czqunbi55l/yGs8n1bg2Vr/2tAi26zuJ0R07wV4+LESpuaYxsWPSXxoWdnRk6l+jSHS9rbn+Gh+GehXEbcvERC0RaKGohGdLvorPvEPgLgL118co5mRXNBAwThi5GOQXqC4mNwqsxWMCB0WwLzQnobUhyLQI7Vj/7yabTqOvATJtcKLN9y3R5cJmf23T4tQ5EH7ZMCzkC9HEVDz9+zd8f+br0uxYhfO4+L1nfSUH97wfhT85dv6g/hpHBJ9fZSzcSqCFohIgLfkqPvMOgbsI1FgfTtCF4kNETcjFE0pbYmPaxQ0t7D0LfJt2KTMfhwgmG333/A4Fm7uuxx0YGn/UHwq4qceJuA+J4BPzTT5bnPOfLhPmHiq/q1H79m9Ea6xCpuMw7cvBgS8ekRPVntZY4zEsdoJjIpxXTaCFohKALfkqPvMOgbsI1F8fCYEzii27IyvHviiNAB4SdJENJ8ZEbMoO9bgDLT4ou4ShOBPhLnbmSTTBJgIwtCFjxIelLelh3mVHU7fh9wyPjzA7MiacVfwNY5IYgl9OnAYmckTEtKaezXr57Zki2K1H/FMHWdO4fXLw0YP6a5yd4EcThMn3E2ihqCSqlnwVn3mHwF0E6q+PSOCMu3jWb1/EyH+iYURo0O5IWvGyIpLXeYvYjEXO2G7msyJYvy7iUwSt4p6d3l5PXJSxU2wiunNjmriF4jKIW2x6Ql58D/qtnJzjPP5vet4vIPpTBQJ74WvM3o1cY+rb1tdv7OHN5Zbnb/qfCm2Pv7/hzx6IGJ53sYM5Hjqpv8YRwQ+lBtMeJdBCUUlsLfkqPvMOgbsI1F8fnggWMZIQipaZ2if/0YIld0/oLi/OLXbeWIh5vs89k0e5gk0E8RqG1CTrO6qpUbntZziPAjhX1Ge6tMZ0YiGiPwI6XY/as6aWLx1HxmZNkN+p/hpHBOevJj2rINBCUQmolnwVn3mHwF0EXlEfmT/qvot5t/PAucqlbaHGeSa4ytTBqRSBFopKfG/JV/GZdwjcRYD6uIs080DgGQIt1Dgi+JncYNaDBFooKgmtJV/FZ94hcBcB6uMu0swDgWcItFDjiOBncoNZDxJooagktJZ8FZ95h8BdBKiPu0gzDwSeIdBCjSOCn8kNZj1IoIWiktBa8lV85h0CdxGgPu4izTwQeIZACzWOCH4mN5j1IIEWikpCa8lX8Zl3CNxFgPq4izTzQOAZAi3UOCL4mdxg1oMEWigqCa0lX8Vn3iFwFwHq4y7SzAOBZwi0UOOI4Gdyg1kPEmihqCS0lnwVn3mHwF0EqI+7SDMPBJ4h0EKNI4KfyQ1mPUighaKS0FryVXzmHQJ3EaA+7iLNPBB4hkALNY4IfiY3mPUggRaKSkJryVfxmXcI3EWA+riLNPNA4BkCLdQ4IviZ3GDWgwRaKCoJrSVfxWfeIXAXAerjLtLMA4FnCLRQ44jgZ3KDWQ8SaKGoJLSWfBWfeYfAXQSoj7tIMw8EniHQQo0jgp/JDWY9SKCFopLQWvJVfOYdAncRoD7uIs08EHiGQAs1jgh+JjeY9SCBFopKQmvJV/GZdwjcRYD6uIs080DgGQIt1Dgi+JncYNaDBFooKgmtJV/FZ94hcBcB6uMu0swDgWcItFDjiOBncoNZDxJooagktJZ8FZ95h8BdBF5VH3+/w8/nO/zT4P77Dp+f3+FPuxa3GTsrff99f4bfLEOx4TLn/76f4fNVo0xOYMck2Pz9/gyfz7MxJR3nwiaBFmocEby5jHSoiUALRSW8WvJVfOYdAncRqLI+rFj9DJpvuW26Bvwbfn+M3UgIj/P9fH+Hf1nidbSjTOIE42f4uVQFm/mjGKaE+Td8P59BcW3qsTgY49fHpGNd2KGhSgJazdTmKCK4thXBn1UCLRSVBNCSr+Iz7xC4i0A79eHEWCDUNndvnSDUYsxrW9n9NHPHu6Mipi8VwCYzRmGq7EY7EZ4SyHFWrfAR0DbO1BeS3HnieZ89X9v1ftaza2bXcv2amY5bRQQfZ8fIBwi0UFSCpSVfxWfeIXAXgWrr48RusOi3LYa5jw3I7q7GKret/M6wtkM7tn1SonVsn8Szvms8c3H2NN/3ie2tlbjzujBqU8AfIaXl6BE7V45BBF9JF9vFCbRQVBJ0S76Kz7xD4C4C1daHFcG+UHHiJRC4i51gRdSt7mSui8VgrrsWZM880WMM28J0FIBTYAqvYRgmEWzZ+WswO7c919y3riNEsKn52l71eVQbIfypikC1H5wKpZZ8VdynCQKXEqi2PiraCTYLsLUbLLpyEpB21XSRWXJBrV92cjfXvGvrxN58boMYfoLnhXX/XAy/9vnpYLzneEoELzgJGG+stR/sVi+FtuujPI4y5oXvl8xppopt+9NLvzjnfVvGTekXt3shNHUYx2vOa3vV51FthPCnKgItFJUAa8lX8Zl3CNxFoPb6cIJs/EsHVgApwuggrMD2hg0rjKbHCPzOoZAMbYbX/FHFjxe74ksR7ASiLzh1/4IYDHNfSY6OL3nIDmu0Pv++3i/pufnCX0zUxzlfI1tm7hURbHJ5dlW3Oz1PHf9ypL8g408PEME+lGuPEcHX8sV6YQK1f3D64bbkq+83xxC4i0BcI3fNuzWPFVqiakbxE/uqnotYPfEohNidp/9J/Am1UEgGAnJQrgU7oOuPY4gPwbvEtgVvnHv+U2nOl1DYhf6JySAGRXSafrEItueBCBVr83tS2IqvXmzJvoo/Mvcc6zin5Iwsom0Wcex/GZh97PEoyJ8x/2qLExFc24rgzyqBFopKAmjJV/GZdwjcSaDGGrEiaBJFTqxZP6c2hdBiN1Tpc7BpEloJESs6KxCQkQg+OPX6sH9f/c+xiQBc4yXiU4tJAjKz2y8T4a5sKIJHYZkzl2/XiywWvfH51HVFBC9Nj3kTXHiXCK6xtqe19A4QwR4MDusn0EphGZIt+Vr/yuNhjwSqqxEjuibhYoTMKMBydnZXhdjx1QtFn28n3E29VwSnxafz9zt8f0Lx6ns+JER6GIMbYds8tgEPEdzTmoWz2DNFvPq9rD1ZZ/nlPO986qvYcWP9RyGk9yiCPb+zHoeQ4R28V1fbCaaI4AQYmusk0EphGXot+VrnauNV7wTqrREn8qYf4W/t9KrXZedv56MHkaALRF+QEA+KYCsINZE7c7N+R7HM7oe+S7smguVZXDEV8EAEC7rq3uut7RAVIjjkwVnlBFopLIOxJV8rX3bc65RArTUS7z66H8tviNlg188s2CwIZflikbd1bq3Y/zo4PbeIw9CWLjLFj3Pvy7gme3bHfHzmNSmUTW/dvzCGyap7DngMNOzj7Kz/t9NjHwE1m7VH1p73y2ruXBH47ARH5NZPa63t2GtEcEyE86oJtFJYBmJLvla96DjXLYEaa8SJoM/il9Hcj773/FLTUiyGAs77u7jjCsfXTXOw8xlkQigkw7HhtWDY2RNf6Aa23JzT7rk8WrD4cmAG6f6FMQTGp5O4jz3XHl+YRsifL1OErTyb7Alkt87LRxyk3Y9P2rzh46wuvlCcu3wI/0KF52RnhzXWtoYYEaxRoa0YAa0QSrcVc7awodJxavYKu4w5CNxKoLqclsca5N3SGAWN9ktcfttC7N0rgsOF00Vm2OfI2TImZ2UUeAs16PzwhaPrr/sXC1zNw2UfWZ9I5Gb/ibToi408YuGvp7R9PsEvA+4TwfPfAV5gkkDtF4ylAJfLLb1XV9sJeIjgBBiazxPQiuCKtvOeXmPhilg1m9d4j1UIXE+g2nwWEWxFySiuRiEUChgRYJGQsuiWgjEWcFvnxowVWr4gk2Wx/kTCL7hWXkw50RfHOjLQfHQB2P8oIxTCR0XwkqmEbFn6X0rChZoeTwlybsPnqa/pN66/H8deESyPyIhd35ZD9TP0slMsMfrvslY1vSOCa1qNznzxk//K41qxXRmzb7vW+PELAlsE/DyW460xt1wXEaxMFoqtWBC6AWGf9PO8ErP6Poq4WAQHtn0R5+1WWnv+NSWOI03Gl0C4jTuX81/USFgV3yZhKl8eFDZTH8XWaGetizKqmSa7thes2xMAtJx+wo+tORHBW4S4fpiAVgRXtB128OKBV8Sq2bw4DMxD4DIC1eaziGARb94Ooy8CA0EqfXpVaFEWuF3QxE501NedjsLX8snbCX4XX8fEzy8VYyON1dZ2xA8RHAHhtCwBrRBKtpX1try1krFqtsp7jEUI3EeAnL6PNTNVTsB+4drzpaLueFqpbURw3XnUhXdaMZg2XnkE4JfHiV7tEdByu70o8BgCEIgJtFLbKJF45TgvTkArBmkrPlmHBoVV/N5hqIT0MgJxTptzXhCAQPsEWqlt7jjt51oTEWgFwQfe9tLBbZsRPdomoOV42xHhPQQg0EpdI4LJ1dsIaEVh2njpBOClc6G1LwJanvcVIdFA4F0EWqppFMi7cvPxaLXiMG28QgIpTrAKOXHWPgEt19uPiggg8F4CLdU06uO9efpI5FpxSNsjDlU6qTCJ3yt1F7cgcJhAnOPmnBcEINAugZZqmrtNu3nWrOdagfDBNy8nfGYWHPVPQMv3/qMmQgj0S6ClmkYE95uHVUemFYlpe/sLLm/PgPfFr+X8+ygQMQT6IdBSTaM6+sm75iLRCsW0vfWV4vFmJm/NhTfFreX9m+InVgj0RqClmn6v4ugt6xqMRysUaWswnNMuS+zx+2nDGIBAxQTifDfnvCAAgXYJtFTT3G3azbMuPNeK5Y0fgnDoIp0J4gABLfcPmGEIBCBQCYGWahoRXEnSvNkNrWBM21teqfjfxOAta02cSwJa/i970QIBCLRCoKWafo/SaCV7XuqnVjRvEYFvjv2l6U7YEQGtBqIunEIAAo0QaKmeEcGNJFXvbmpFY9p6f7017t7Xlfj2EdDqYJ8FekMAAjUQaK2W+1cZNWQFPmQR0IrHtPX6elu8va4jcZ0noNXCeatnLPwNvz+f4fP9d8bI5WP/fn+Gz+c71O1lSQxuXX5+/yajhoF/7i6Yfgkuf7/Dz8/vMFuYTJU5+PddyZt/w/fzUfxNTb3Vf8kjZemu9vpqeT3yfhXGetxcrZSAVkCmrbdXKs4eY+1t7YinPAGtHsrPssfilvjIs/Xv+xm02FbbdgjvXSLYiL/PAX8+n2GHS3lghmFwvqf90edcir6/f18bVyiEXb/PQuyO7Z+fwdPRGT67fEium+es+OM1TfZdzPlzb6/vksc02UMHGqOHXMmatj91kRU2nWoloBWQtNXq8xG/JKb4/YgtxkCgdQJxHZjzR1+jYNSEzGB2+hJiMhRiw2BFsGJkb3uKxbZISo0M20vZCa2un9k5FyLVjHGCc8JmecuubkL0jWsyjbFTL7/IrMWpfmGZ/Fvakui0tXTzGLErojst9sNc8gWyFuuGGJe8nPwWL+97D+Nxcd83+/6ZHr7T7HeYEf0T0IrItPXy6j2+XtaJOO4joNXEfbMrM1lR5QsSr08gyqRdEyyIYKGjvQci2H7pEN4HRLCRzl/zWET0YIhZKxGEa19s7Pjw8ZfAv1GYx19yTFyaCB4Glw+BKF/LKQ3Qwnfh43fW887vcfdxdbW8AaAfZbERKJfbIqAVkmlr/dVrXK2vC/4/T0Crjbu9Ms9ran64tnE3cq8IXrWpzBcoJ59AJA6nRwpklzQlyHwb+vHaDqk+4nxrIDILiODZIycM0+sozENRGYvZwL/dInj2xh2NPk1ruyVe3XXpHvri296y4/e9/jjF/PqZj8/Qvqo4HjsjKyfQYkFtIe0xpq2YuQ6BHAJabeSMK98nFizj86uyo7hXBIuS8RyNBZdcSrWb65pQDdv+7G7oZ/fzrrpt8emq90DYXSCCtV3bKZZgPtcasw/8G0WwlqO2TVnjaS5zsNiFXhevy7mdYLc+Zn6pWo0/cK7cicannPVrLCGCr+GK1QIEtIKStgLmbzchvsfvtzvChBCokEBcF+b8mVdix/VREbwU5oZNKIJNy/jMqPiaCXBpJ3PgiW6B0AtEacQ/+NLhi8eRySgKZ9Hn90k4GMzn+uSI4HmO2a4/znEcd5q9NbB9vHN5XEKzZywvxO6WyJ7dmXJg15Bg/PGTemo4P4an7jL5HtLz1QS0onruw/H4UvQSx3ECjITAOgGtRtZHXHTViq6VH5UHokx80IXXQszk7OJp6kXxycysiVcRYr6ZQ37EvvoGJewT70sRLI915IpgmTxmH59LP+89JYLjmCfh6nzSRKtlG7EJYpMvJrFt9VwYjL6quWZ88fMz5KXlhBf5pYfV1PCOKBHBO2DR9RkCWmGZtlZeKf9biqEV1vjZLgGtTp6IJhQwxoNIAKnCRBdemkCyFs2fTouE05F2XfA4f6dfCMuAqNvJGHiiS8A5YBqKOvfXOEQcapzjtvhccTIlgr01Cfwbc8C7PBnV1jgcO3X1DjJ8XJlT/kKJ88fn5exqueVNftlhLTW8J8B2lMSeqOjbHQGtuFoRkS373l0iEVC1BLQ6ud9ZRUTEgikQbOJhjqiRvjt/gc3Or/+t3pR4de36mNmL+ShlZ+5R/igQigFTX9TZZwO8/xBE4xy3jWuo7rTKL8WZd383dbkmgX8ra3CNCB5jiFW39WP8QjAdG15jLJZjGFf5lUtbrKOG0/5pVxDBGhXaqiOgFZe0Vees55D4GL97XTiEAARGAnGdmPO7X1bUiKiQRw6mH4vHoky8i4SYFSO+4Np/LD96t/7488uU4pv6P8Y5IZm7G/y0CA4EZ7wDGgjkiLNlEbd55/5YKxpHgegfjzxjMRv4ZPuvrGEkVoOx3nrNh56Pc+N8pOXPmANurTyhq8QyG7rvSKvdJ+p3b8T332H2ekh/CIwEWiuy1vwl0SDwNAGtZh7xaRQh339OTIogtb74wmpybkPUSL9x7Nc+DvEdvqqAlc4iuD3B410yh04QyaMC4UV3LW83eM1OaLXcmZ1zFHah0D+7E+z56K/VhlhcE8FrfOJxZvY5NpcXWl6n2oJc80IJDk1c8sXIjzHodO+JFs+9HhybDRF8jBujHiKgFZppq+2V8rNGX2tjhz/vJaDVzWM0pt2/SGSqomNbBPtCahJOG8LMjol2GX0evk2/3R6Pthf/gcSi47qYVroXbhp3re3jC2nB7ybVOIdtf7/f6b9EnsWoVabDj7fDHwdh1yR+hMIKzVHIiuiMBk5r6bUH83rt82Ho89y+fqT6GPss5yt5sz7LsatV1e6OEOpTDzucp+s7CWjFVpu4bMHHd2YPUddMQKubp/wNBIcvgHaL4FHkeaIkFE7KbnNm0KsiONOG6XbIjuWQt9O85oplMfIV5h6qaKgmHqXt3/D74//CYcRV+cJh5pOd13BNvGk34tTGXSWCPa/Gw/kLhMSx7HNPS021uydiRPAeWvStgoBWbNJWg4PiS/xeg2/4AIGaCcQ1Y86feDkxJruS406gPLowiiLN11CIiEARO3MkmnByc86ibO6dPnJjop3qdPfklSMi+MiY2AFnI+Tj2nwx648SwfvnNcr6+IJc2HtsFiJYs+WZtYejnbQqX/y3ybKOJj/Sw3Lmlt1reRbZi8X6NsZtJ/GP4xjuOdfq4Z6Zz83yzB3mnM+MhkDyvzZ9Go12IzBtvCAAgW0CWv1sjyrZYxQTIngn057IyNgJFiGUEkH2euKijNX+zNUkEOVH3qtCa3J+eaAI+VDAL4fELdZPf4c87rBx7uIMBbAMCQT2wtdIDEbiduK3WEMnaGfs8bnMLu+jAF6N0csL+wi3E6x2DvF7nlAMb75P65yce5w3uK61bU5VrMNTU8V/AAAgAElEQVTztXssFD6dj3FjVAUEtKJ7WnDW6FMFS4ULEMgmoNVQ9uCTHcMfpyeMZYjgxMip2Qq1A+JoMvD4gROIe4WzuH1WQIudxfsoPFN+zQI5tbvqWVTXWX5ZUcabd0/I//0O3199l1rLa7VtIy9EIK/HGH1R8MK64lCNo5HNH0TwFRmBzdsI1FR8Nfly2wIwEQQKE9DqqPAUmDtLINp9PWuO8RkELPPUYyLh+Lu/ZLVcs4jgMHc4a4yAVnzSdmcoMmf8fqcPzAWBHgjENWTOeUEAAvUSaLlmubvUm1d4lklAK8A7PzhT89/pQyYqukGgegJaPVXvNA5C4MUEWq5ZRPCLE7en0LUivEuEPjl3T2tILBAQAlpNyTXeIQCBeghotXrXZ28JCojgEhSxUQWBJ4rxiTmrgI0TELiQgFZXF06HaQhA4CCB1msVEXxw4RlWHwGtGKXtCm/Fdvx+xVzYhMCbCMQ1Zc55QQAC9RFovVa5s9SXU3h0goBWkFd8gKbmuWKuEzgYCoEmCWj11WQgOA2Bzgm0XquI4M4T9I3haUVZWpzeMccb146YISAEtBqTa7xDAALPE9BqtPRn7dVRIoKvJoz9RwhcWZxX2n4EFpNCoEICWp1V6CYuQeC1BHqoUUTwa9O378C14pS2M5GLDe39jF3GQgACIQFqLOTBGQRqI9BDjSKCa8sq/ClGQCtQ03bmdYXNM/4wFgK9EtBqrddYiQsCLRLooUbPKYIWVw2fX0VAK1LTduRV0taR+RkDgbcR0GrubQyIFwI1EtBq8+hn65PxHVMDT3rM3BDYQSBVqHuLNWVnhyt0hQAEdhLQ6m6nCbpDAAIXEOilNhHBFyQHJusioBWract9pcbvsZE7F/0gAIGZgFZ781WOIACBpwj0Upv5SuAp0swLgQIEtILNFbFnxhZwHRMQeC0BrfZeC4PAIVARgV5qExFcUVLhyrUEtKI1bWuvI2PW7HENAhDIJ1BX/f0Nvz+f4fPzO/xthvBv+H4+w/ef1/Hfd/h8voPf5F0dD904E/fP7/Ysy/HbLf++n+ETODaO+fsdfjb927ZPj2ME/n5/lmtu1yTKo2Pmi4/SarP4JDcYXFcANzjAFBC4i4BWtNKm+SDX4netL20QgMA1BOL6M+fPvA6I4O93Fs2+CB6Pf39/hjC+WST//d0ogiex9TdcNO0zS5ac1a3l8rvA/CUkXJeP/gVm5Lbsa/qv/4vn/vv3HX7iLz/TuiQDeeSCFtsjjhSY9Km7SQHXMQGB/QS04jVt2mtPX208bRCAwHkCWh2et3rEwgER/M8TW5MIdm1mp9fs/uXtLB/xVx+z2Am2fq0Ltrt91D3f32pj1Xa3//4Nv1/3BSTccTci+GdYbMJPaxf5YEWq339e26nnYqzyUwLpPIreySdEsJC57F3/9L9sOgxD4HkC2odqLIRz+jwfCR5AoH8C9dTiERE8zEJXxJB5Hx+puEsEm3lk59EXwUmRKGllfb7u0QyZ5pr3cb00ESwTyprI+ULUjhfifkH/jS8QiR1hWQ8xNb2bueQiInjCctUBIvgqstitmsDaB+vataqDwjkIdEpAq8mrQrXCNCFcND/8tmkHb/B3+8bdxV/3TPD3Oz/jeacIlueRRQTLu+Fo/Jh9d2QnDiLIrgJ+md0MERzNbZloz3ynRHA03j/1+frtu47tvP5O867Rl3T2812OL5noJqOI4JtAM01dBKR497zXFQHeQOA9BLQ6vSr6tDBd2wl212Yh6Yvg0VNFSKXnKh3d7J8mzv7+fu0v8rkdSBGPs1jXvJlEsnxhUMSynUuu2/f5mWex6fooQi9+NGAU6yYXzFSxbX/6hW+jD/P6yOzyvhWzW88pD50Dm8/9Tv0DBvPOsfMnsp3om7SliXYJ64J3zY8LprnNJCL4NtRMVBsBrZhTbbX5jj8QeBOBO+syLUxHoaSKjllkunUZRbD5xbiEqDECKCXW7Bh1nhOrPv6YXRPBvs/bc4tgjITrv+/0yMUw7oTL7rOzr487IoKNj7Po1e0Og7SHwjtk7q65tiieE6jN0DTnfMPrfo3xlc6TDfe0fN4YUvVlRHDVy4NzVxPQCjpuu9oH7EMAAtsE4ro051e8rPBQhcWa6HDX5p3GeCdYdvsUQebNVUI4bTGJ5whE4awszTMSw4/yS2LS3+8az5kUtiKO45iVedz84fPIMvf0zKxMPO4ah+26CJYhg7IzP13bdSBrO+/warnqt62x86e2HD1W/rVJ5OcaCwcfOvNj8I8PGatk0DV3kUqCww0I5BDwizk+zhlPHwhA4HoCcW2a8ytel4hgK7iMSPoZfn5mIRzPFQvUK+Kb5hDhmPrFMVUEr30REG9HUZgQZ7FAjs/FypoIXprW5twngp0fG0JWFaRu7qVPUyTewf6+9ovVuIvvGTIPh7i/W503cTj04NldNXjQvUPDrrmLHHKFQRB4hoBW2NL2jEfMCgEIxASkJuP3uN/Z81iYzvbWBKC7pu8Eu2tf/9GIUbjEc00CdZ607JGI8RzhpIlgEc5r48c+M4swBBuzt/NbVAQHInVcr5TIX+wEx2vo+62JbLk+Xks89hLnqzlfwydW3U61e0RjemY7iG/Np8lK0QMtlqITPGAMEfwAdKasj0CPxV0fZTyCwDkCd9SpE2kbO4IJwTMLv3nHbxK6IrpGkWiEkL3mKaJLRbAIWOP799/688hafEaAiQ3P58WKNiuC7YO8drc+/jvBLifmHfww5nmtw3btLLfvKOA10Tu1OVtzzmnzlWvTas+0tf5qP4LWVwD/qyHgF3k1TuEIBCAwEfBrVI6ni4UOJtG6sKcJE+kU7yKOYufXe65WRLAZYo6//xa/PHWZCPaE6WIOc00TtXZM/MtiLi75O8cSffg+9tFsyi+Mebuz9ewEmyiUNbbrtrZ7O8arfXFItCXQTBid6I7Zm8tmrrHdW9Np4IUHUm/++4XT3WYaEXwbaiaCAAQgAIEzBPwPYDk+Y2/fWEUgJQ04YWQegZgEjy+C7bhYOJf5iwKaS0Zoyo7hUgT/G74/8/VpvCqC5U+TaQJtGjn++TKtz1IgO8G3FJnSLn4b69I2MZ2mHO1Ou6S2t3tm1hPcU3dz4K2HsTvb9GyNAtj3IbBhT8a1/re8smzJ6DuK2/CX/JaW5Jnp2W+lT8EmqTf/vaD5x0whgh9Dz8QQgAAEILCHgP8B7B/vsXG87wER7AsjT3RZHxSRuRCovrOjIDsretQ5RuEV2Fb8c+6MIlF2JMXH7D+RFj1WIKLPF7DS9gnF+T4RvCaaRQTPj70EQtebP2AisQbvwmO25eemdpy2OdryWQRzeSeF8sGzmDzUYjBtPbz6iKKHlSAGCEAAAhDYJKB9IG8OKtKhrAi2gi4SO6pAHX13AjASkAfiSs5hRJWvzpIi2E1q7fg/7vfH2i4jL79PFO/kvic67fqafmObL073iuDp8YbRB9/W7H/IVOYwf+PY/O9+kz+Ts/FBxu7uNGStr4jp0J9paHAgbHP6BgMPnTxXc4fc3TUIEbwLF50hAAEIQOBJAs99IO8XwZqvpu3n1/0PbbFuTApUeZY2JSJ3LMjaHIGZeOc6uNj6yd/w7+v/V9EiQI3ojR/j8K/NonMW0fk7wIt8kPWULwFyHuMdd33D8bGf8aBy5+G8Lt5y1p+1hAh+lj+zQwACEIDADgLaB7Jpu/61RwSve2N3G2MFLEJXaZf/gc3fyVyfIX11TQTPu6CjsFN9Sdtu8coUc0ask/DN6JvNQtnxzh57Q8fn6u2G4IZhuOPOcU8kzAIBCEAAAq8goH0wdx24FUr37fx1zZLgdhHovdYQwbvSgc4QgAAEIPA0Ae2D2bTxggAEyhLQaq3sDM9a467xLH9mhwAEIACBnQS0D2ZE8E6IdIfABoE31BkieCMJuAwBCEAAAvUR0D6g6/MSjyDQLoE31BgiuN38xHMIQAACryWgfUCbNl4QgMB5Am+pL+4Y53MFCxCAAAQg8AAB7YP6ATeYEgLdEXhLbSGCu0tdAoIABCDwDgLaB7Vp4wUBCJwjoNXWOYt1juZuUee64BUEIAABCGQQeMuHdQYKukCgCAGtpnr9cokILpIyGIEABCAAgScIaB/YT/jBnBDohcCbagoR3EvWvjgOrWCfbHvxUhA6BG4nkKr12x1hQgh0QOBt9YQI7iBpWw4hVXBvb295TfEdAncT0O4Xd/vAfBDogcDbagkR3EPWVhqDVky0fYZSDCpddtyCwO0EUjV1uyNMCIGGCbyxjhDBDSfs066nCob2ckL3DMun84P5IXAnAa1W7pyfuSDQOgGthkxbz6++o+t55W6MLVUYtNchdveuw42pw1QQuI2AVge3Tc5EEOiAwBtrCBHcQeKWCkErgNrbSsVe2k7t3DT/SjPAHgTuJKDltGnjBQEIbBN4a/1wh9jOjS57pBL+7vYu4RYI6u51SM1XIBRMQOA2Aloe3za5NtG/7/D5fId/2jXTZq9/hp/fv1SPud32/Rm0rn+/P8Pn53fIsDLb4wgCHoHqasfz7cpDRPCVdCuxrSX3HW2VhN+tG3esoTZHt0AJrHkCWr6atn2vv+H35/ijTr6g3RKn/76fbPG6Zmvt2r7Y6f1GAmXqpk1ye+8ObUb5Mq9TCX1F+8vQNhXuFeut2WwKCs52T+B8jjoR7IvZGdq/4fvJ3Lm1G72f4fNN7AP//Q4/n88wXbbnqV3j2ScreD/5In2yPwfBEQQCAudrJjDX1AkiuKnl0p3VErhkmz4rra0SKJkbmq1WueB3HwS0nDRt+a9ZcC7GbD3eEAxYsTMMw3L31glsVTRbgaw/CmGmXNoKHOEEAkkC5+slabqJC3vuDE0E9BYnU4l7pj2PnbuxqzfqPAP0uoTA+gduzpRncic1Nmde+kCgNAEtH/PnCGspf+dVROooZrXd2um5XdNH+s+eubkS7dPYub8cIYKFBO97CZyrlb2z1dcfEVzfmiQ90pL1aFtyks0L+34cmDJnn4XTPiTW2tSf66184Ki24h837h0f/xjS2cv/oIzHz+fy49ctWyqGIfzgTnHf2340v7Rxe+emPwSOEtDyz7TlvcJayhKY2k5t9HiDb8fc/6TeQ5+0++t4j/IKP+/+Gd/rwpk4g8C5OumDX+5doY9oG4wilaR724uFbm/s3nNsvuHxN5013+Ibvr2Jezd1MbO3fRjcB4RiSkzO77t+lCnD3AfiqZ3vld/qlln8d//D0m9fxBrEE35wh+PKnWlre6StnEdYgoBOQMtLvWfcGtbS1pfSeZ5oB9fUp7d7O93bRnH8Nb8Up35RN+2egLV1Hj5bPNmKXZfz4N4gjbxDICSg5V/Yo/8zRHCFa6wl5t62y8KyN9foZi+TqTfe8ANl7hre1I+2izDM5+N9uMikq+/nRbD9wPI+DFeni5/vC3aYIsEf8NY5b8119no+9/QH/lkfGA8BjUAqN7W+YVtYS+kvpd6ooE5deyhUxeY/7y9PJO6j4xd7t3Ew3n+MWPa+6VvbSQEttbb3XufFw2H3BI7XR19oEMGVrGcqIXPbrw7D/EZ02pfxZhuIMvFIbv7hX7DMu4lHc3ofAmJdRLB6ae7kjlT/4k7x+fghlDVBPNacR8JV6xK1BR+6wYdrZCuIR+ccmb78NJ0j0Vom8ulyB5ngVQS0fNwG4GpJSj6ox9TgoE5Np7geo9pN2RnbRUDbub//BjmXYfG5tE/vwb1hauUAAhOBY7UxDe/mABH88FJqiZjbdr/rS0EYfECoN974w8B5nbqJ723fJTJV/4TiMjZ3JdUu4+Z3yyIh7rbW1H9cJGAafLhGH6RBPDrn2bv7j7ZiXrt+v7fM2COBVI6txxrWWX5dezu7Qd3aH+8MP8ovwq37Yf4vDWczvi/G5ws7wb1hcZWGlxM4Vhd9QkMEP7SuqSRca3/IVW/a8MPBXAgEm3rj1cVZ6ia+t11E8Bq38FrqR4QpsZtq97CMhwEL06byiBku+QR2gg/TaGxgf2ln6eGzLeE6sDP87Gq8Z3Yt79ajD+ssqEc7UKm1oE5Np/G+MT4GFdiwfdfz3/9SbKzF90V7vvmFO3WvW4+eq/0T2F8T/TJBBN+8tlrybbXd7GJ6Oiu6vN2O+OYciDIxo3xgyLjNm3j0QSE/nxTT9j38wAouxSeqf9Jp/NBazJFql3Hze/BBZ5rV+WJ/l3wCO/YDUz7MorGB/aWd2bO6jrbyXbteVwR40xIBLZ9MW/K1ELRjLU/3Br/WzHF4T/Tt2loe73PzcPOfZKTG+LZnS6oIngzO/aaj4N4wtXIAgeRjjW9Fs3IneCuSa+JO3YhT7dd4cc5qIM6sKSfKpl0L9cabd1MXz+Kb/Va7XD//7vz0f/nE2RzbE4J9ij3eFTeDLY9IyMcfiItnB9d21/sQwf5apfI/1e6P5RgCuQS0fEqNTd3n5r/Y4N/T/uwjC8a+rknn+8d0XRPZkzO+7alR3wmeDM79piP1Xjxd5eDFBPbUwhswIYJvWGUt6bS2G1w5McV4M/dvvPHNXL3x6jf1lCMpEbzovyIwNbZamy9gpx9f+vHZSZW4F864hsWHp8ojErIvF8E+Sm2NtDZ/DMcQyCGg5ZFpW77i+5WrV/9Pncm9wr9/yI5vfPtw7d/h33i/smPi+2bgRDy/uxjfF+154ov5HKv8BCmYgJMXE5hzI9yceTGSQbsLvJlH0dhTCRe3F530QmPuxjv/GC9P9EU39eLiNRGwKkATfW1zSuym2pe28njsE8GhzWhsEGPEeeleMy1xfaTOmwkIR6sgoOXRwjGlpkIBbEboteYEr7cjbMWud25t/wy//3gcYsGdhlsIZNXALZ7UMwki+KK10JItbrto6mvN2hu5ubE7QebvhujPwOofGAsnxw8f+wfkv9/h6/+x+EXnqEHbWQk+zKL+6mlK7Kbal0ZCwSqPQ8S7MZGQVT5QfTv2i8f0N4ajsUGMmZyXblfbEteLdl6t8zhWHQEtf0yb/zL1Nt3TTH1NtTf+ctq0+xrXtbNi/prDz+8/80zT8PPxbPmTjNdS/pj2yYdxnL0PmG1mW/PhLt6aHXvNi8F3g+N3EUjlybsoLKMN7wDL67TsJJBKNL99p8n6uk838eiDIBBl4va2OHM7KM7WdLPXhK2YjN5DoThe3PiwiH9sKbs7yWeClwMiL6Jnec3VFR9mc2t8nOh1uTPvwC8mtg1rdvQRrbT6tZM6biUW/HyWgJY/5T3aqMXVe5s+drovlncWiy8hcE/utwcTEVxwzbQki9sKTveYKXtDlh0Rf5dhtwgeRd6sCKNfAHHX412RIPBJkEciUfUlGBmduA+f8iI4+qKw+M8z9A8945wv7oW5h0r1f5VVNKKl07iOtPOW4sHXZwhoeWPaeEGgZwLkfXp1qf40m11XUkkm7buMVdzZiTERnKNwlEcXVnY+Q3EmO5xiZw7Y2o+UngjA0IYZMwtX6TP9BnfjItjtjod8XFv436fO5NJieu7T/pHUU+q9/QiJ4GoC5M7VhLFfEwHyfX01EMHrfLKuppJM2rOMVN8pEryTv7MQzXkmWMRqpHMna5oIlosy1u3WjvP6O9EiimWXeuv9+zv8/ux8vk6zOfowiVStz0abL/BdnKEAFgb+oyPLxy3iXWcZ1de71FXqva9oiaY0AfKmNFHs1UyAfF9fHUTwOp/Nq6kEM+09vaxYTClXCVTdfd23Q7kmgmUa857bzx9z9bEVqIEoz5kx5GPj2m0jZ57++ryl9vpbuecjSuXO857hAQTKESDPt1n2pdS24y3egyQrjhSDEMgmQP1lo6JjREDLnagLpxBomgA5vr18iOBtRskeWoKZNl4QgMB9BKjD+1j3NBN509NqEktMgPyOiejnKDadS1arlmRZA+kEAQgUJaDVomnjBYE1AuTNGh2utUqAvM5fOT4l8lkFPUmyAAcnEHiUAPX4KP5mJydvml06HF8hQF6vwIkuIYIjILmnWpLljqUfBCBQngA1WZ7pGyxqeWPaeEGgRQLk875Vo9L38bK9SbID0BgCgYsJUJcXA+7YvJY7HYdLaB0TIJf3LS4ieB8v25skOwCNIRC4gQC1eQPkDqfQ8sa08YJASwTI4/2rRZXvZzZoiXbADEMgAIHCBKjNwkBfZE7LHdPGCwItECB/j60SFX6Am5ZsB8wwBAIQKEyA2iwM9EXmtNyRthdhINRGCUiuxu+NhnOb24jgA6jjJDPnvCAAgecJUJvPr0HLHmj5w/295RV9h+/k7fF1Rr0dYEfCHYDGEAjcQECrzRumZYqOCGg5ZNp4QaBGAuTruVWhsg/y0xLvoCmGQQACBQhQkwUgYsIS0HLJtPGCQE0EUnlKruavElWdzyromUq+oBMnEIDALQSox1swv2YS8uk1S910oOTp+eVDBB9kSPIdBMcwCFxAgHq8AOrLTZJTL0+AysMnP8ssECL4BEeS8AQ8hkKgEAHqsBBIzCwIkFsLJDRUQIC8LLcIiOCTLEnGkwAZDoETBFL1Z9p5QeAsAfLrLEHGlyZATpYlyifFSZ4k5EmAnQz/+/0ZPp/v8K+TeFoIg9prYZXa9zGVZ+1HRgQtEiAfy64aIrgAz1RSmnZezxD49/3cIkqd+DVz3TPfGk0T88/vX7rLv+/w+a7J9L/h9+czrHZJW7/1SomacznyM6whOxeU47m6Jt4E1p8W4Hs+v+UwlW9viZ846yBAHpZfB1RaIaap5JT2QtNgJouAEx+X7sz+/Q4/HxGdN8y3Gfff8PfP+aQKXfH353dlt7q8CLZfEn5+hxVpvhmZ30HqKfXu9109Nl8I7BeXz8YXg2EY/L4yRntfCFhE8OoaNHZxypdo7RsLA3cbJUD+XbNwiOCCXFNJKu0Fp8LUKoG7Rend860EPwq2UI/9G76TYF8ZO6yLYLdzKrve/nv6MZC/v187tyrM11xRrkkdpd6VIYkmx8P6pPJKDBub13Zsw2uxCB7njURUKp5le5rzusdcLUFguR5zDZSwjw0IpAiQeyky59sRwecZBhbWklWuBQMaPAkfAdB30paCafkB7vooP46WXUvv59QypxF3sW1f8Ek/YS3vuT+SdsvhxIpvd32ZnhLBhUTVxk6nsAsF3kjEjl2ubcjL+Sl2wmvbZ7KGa+/bVqTHcq1czmzFIOPXcyNkFItgsaG/h2P1PrQ+S6BMDj4bA7O3RYCcu3a9EMEX8V1LXLl20dQXmhUBEQnXf1/vOVIRZr6o0Mc5MRvZMt6viGDDbhanut1h3NE8/jjEutBZAhY//JiXva5vWfE7S6y6OGaxGp6rIi3LrjxSsI+P1MnWez7X9DrZ2DIe29gSzCGjkN+Wn+HYrd5cf4rAWj4+5RPz9ksglW/9RnxvZIjgC3mnkjduv9CFoqZll3UWoUvz9oP8owjbYRTHntBI9l0TwfHkY9/wx+1psbP0WGtZEZNa99OiWzV6oHHF7yyx6sZfJ4L1nxrEgcb1kTqPx62fb+eEzUcvP5f2xMb8Y3DxTZiFQlYRwXYdluPFztp7nPpL/2i5i0Bqne6an3neQYA8u36dEcEXM04lsdZ+sSsnzY8CYFUkjEI38Wkdi974fHJwRQQvTWtziljZt/M4zT8K9uVcc4/w6Ox8obXjZ/WKYLfWRvxpX5BcxFpNpNp2MZIvSkHu6vmczEkzofpFImRux0+J4+YQgbzlczh2qzfXnyZQJDefDoL5qyVAft2zNIjgezjPv4me+UsxN7mVP40IiekDXhmqiFe/l9tJnkVQUnAodtK70KMI1gRO9t/tFRG7tkM3++3H5I5l/FHRvbR4rCUUZIENVcAFPYzKs7/ENi+xi0vOVZG2w64Rg7GN1I3+dPuYD5I3SyE6rlmQNyOPcbc2HOPYhG0ijOfcCONzcyzGxNinafN2yhPDaX6AQCpPH3CFKTsikMor086rLAGIluW5aW0tubVrmwbv6tC1CI4hxmIwvh6fI4LX/vqw20EdhaIVmOY/Fln7wrG8FhPPOXdfslJfTFZEsDUeXrdiWhHMoegdf2lTvjWMj8mICBZBvjd2v7/YyomfPtcT8NcmPr5+dmbokUCcR/55j/E+HRMi+KEV8BM79/ghV8dpnTD8KEJg9mvsM4mA+Yo5ikWJO5930abet+8ETzOPBy2IYBHeS8GYm0+2n79Wlru/Hm4O6RILPgtrcyd49PP7b7fwNf5d9wpF7uo8HheXs4b5d/g37hgLH2MjZOTm2BauLt9+vt/hJ/unF6sec/FGAmv1dqMbTNUBAXLp/kW88lPm/mganHEt6deuPRFqUrR6zqT7LAWy7Iz5IsKYknZfPEhb3Fd+hB+K81HgHBYULYhgD7ocemJNmqb3TbEqP9r3d05DDqHAGy1v2F3L4bVrk9+XHeSLYBN3mHeSX8vHF0JGOSI4rAsz3s97G75l7H85uQwKhg8SeDaXDzrNsKoIkEPPLAci+Bnui1nXCiDn2sLgJQ3jB3b8y03ZfyLNF1jzn0ILBOy4C2xi9sXAPhE8C+lQvORCCcXf9igRRVF82wPL9lgTpGvXRi8s42CnP+QQCrxxUGQ3J1fX+pQFsmYtXwRrViwL5UtWyGhLBI/1tGA+Ct6pFsz53/BX6r/d0wKi7TSBOvL6dBgYeIAAufMA9HFKRPBz7JMzrxVEzrWk4UIXnADwfgy/UJoiCr0+wQe958j0QT/2Nf3GtjMieP5bwc6ub8ubvdChxPusCLbrkuIcidVl4JpgyxXB3jrvfNbX5PMzr3HNUrxWnJL8X6T9jsch5EudrefYkF0rxzS+tOIWlyogsHZ/rsA9XKiQADnz7KI89Qn0bNQNzb5WILnXGgr3fa6Ogue02Bm/OCTtbIlgOz7+kbsRwXObiL/cvNvqF/zC3O0rf0QEy5ed+PGIlPPKF4vpS5/japlqi1YqL1Ku0X4ZgbW8v2xSDDdJgFx5ftkQwc+vQZYHa8Vy5NefXXoAAAe/SURBVFrWpHS6nIDbETy7g5wh6DZEsLqLPAqxI/mVGhMDLRN/bDXnPIOZbyYSr/6l9HEogmX319e8oQgefZoesxgfl/C+iKTn4kpNBFL5b9p5QcAQIEfqyAMqso512O3FWgEdvbbbCQacJqCKz11WY+GUGLwmgu21/X+2LCfPEt4EzZbB7UJvjwge+/rqNYjAO1l8cVj/guNil8dJ5l13z6J5eH74/Rn75PgQDubsIQJr9fGQS0xbCQFyo5KFMF9G6nEFT44SWCuoEteO+sW4LQJup+/M88rZItoTwSVyYs3G6t8MTiDRdkkTXQs17xHBhaZcmDm//guTNFRFYK1OqnIUZ24jQE7chjprIkRwFqa2Oq0VWclrbVGp0Fv1OdxyfpZc6zVb5TzGEgT6I0Dt9LemRyMiF46Su24cIvg6ttVYXiu8q65VE3znjly1fmt2O0dKeBAoToB6Ko60OYPkQJ1Lhgiuc10u9WqtGO++dmmgDRu/ex3W5msYI65DoBoCazVmrvHql8Da2vcbdRuRUXltrNPlXq4Vaa3XLodycoJaua35dTJkhkMAAisE1mrPXOPVFwHWu/71pOrqX6NHPdwqYq7Lb/a39f5oUjE5BF5MYOue+WI0XYXOOrexnIjgNtapSi+3ipzrzwrjKpMGpyAAgdW/EWvum7zaJrD12dd2dH15T7X1tZ7VRLN1E+B6GYFczYLjCAQgsJvA2n1wtzEGVEFgbU3NNV51EWBF6lqP13mzdcN46/XXJQIBQ+ClBLbucS/F0lzYrGNzS2YdRgS3uW54PRLYuvE8dZ0FggAEIJBLYOs+lWuHfs8QYP2e4V5iVkRwCYrYgAAEIAABCJwgsCWkzHVe9RHYWrf6PMYjnwBV5dPgGAIQgAAEIPAQgS1BhRB+aGGUaVkrBUqDTYjgBhcNlyEAAQhAoF8CCKy613Zrfer2Hu98AohgnwbHEIAABCAAgQoIbAktc53XvQRYk3t53zEbVXQHZeaAAAQg8L/delttHAiCAPr/X53FbCAQTHQblUszx0+7saTuOSVDESBwUGBP6VKGD6KeuFwOJ9AecosS/JCgrEmAAAECawooYZ/LfY/957Yz+aqAEnxV0P0ECBAgQOBmgT1l7HWNzxgB3mMc25/iF9OekP0IECBAgMC3gHJ276vA917ftqcrwW2J2IcAAQIECGwIKGsbQAe/5nkQbJLLleBJgnQMAgQIEFhLYG9xe13n816A4XuXVf7ql7FK0s5JgAABAlMKHClyCvHXF68pfwanDqUEn2JzEwECBAgQ6BJQ7v7Og8/fPit+qwSvmLozEyBAgMC0AkfL3uv6WT8sZk12zLnmffPH+HgKAQIECBB4pMCZAjhDIV713I98ST+8tBL84QCMJ0CAAAECdwucLYZPKMVXzvaE8939bqz8fCV45fSdnQABAgSWErhaGBtK4wxnWOqlKz6sElwcjtUIECBAgMBdAiPK5O9njNr193NH/H/Ubp4zj4ASPE+WTkKAAAECBA4LjCiYzc84DOKGZQSU4GWidlACBAgQILAt0Fxo9+y2fUJXEPgvoAR7EwgQIECAAIG3AntKZ8M1b5f3RwIbAkrwBpCvCRAgQIAAgR+BT5fen038i8A1ASX4mp+7CRAgQIAAgW+BUQUZKIGEgBKcUDaDAAECBAgQIECgSkAJrorDMgQIECBAgAABAgkBJTihbAYBAgQIECBAgECVgBJcFYdlCBAgQIAAAQIEEgJKcELZDAIECBAgQIAAgSoBJbgqDssQIECAAAECBAgkBJTghLIZBAgQIECAAAECVQJKcFUcliFAgAABAgQIEEgIKMEJZTMIECBAgAABAgSqBJTgqjgsQ4AAAQIECBAgkBBQghPKZhAgQIAAAQIECFQJKMFVcViGAAECBAgQIEAgIaAEJ5TNIECAAAECBAgQqBJQgqvisAwBAgQIECBAgEBCQAlOKJtBgAABAgQIECBQJaAEV8VhGQIECBAgQIAAgYSAEpxQNoMAAQIECBAgQKBKQAmuisMyBAgQIECAAAECCQElOKFsBgECBAgQIECAQJWAElwVh2UIECBAgAABAgQSAkpwQtkMAgQIECBAgACBKgEluCoOyxAgQIAAAQIECCQElOCEshkECBAgQIAAAQJVAkpwVRyWIUCAAAECBAgQSAgowQllMwgQIECAAAECBKoElOCqOCxDgAABAgQIECCQEFCCE8pmECBAgAABAgQIVAkowVVxWIYAAQIECBAgQCAhoAQnlM0gQIAAAQIECBCoElCCq+KwDAECBAgQIECAQEJACU4om0GAAAECBAgQIFAloARXxWEZAgQIECBAgACBhIASnFA2gwABAgQIECBAoEpACa6KwzIECBAgQIAAAQIJASU4oWwGAQIECBAgQIBAlYASXBWHZQgQIECAAAECBBICSnBC2QwCBAgQIECAAIEqASW4Kg7LECBAgAABAgQIJASU4ISyGQQIECBAgAABAlUCSnBVHJYhQIAAAQIECBBICCjBCWUzCBAgQIAAAQIEqgSU4Ko4LEOAAAECBAgQIJAQUIITymYQIECAAAECBAhUCSjBVXFYhgABAgQIECBAICGgBCeUzSBAgAABAgQIEKgSUIKr4rAMAQIECBAgQIBAQuAfidgLCjsLM/8AAAAASUVORK5CYII=

yuedong 发表于 2021-3-11 21:31:54

首先对于上边代码我做了点修改,因为你if h> 100或者小于
对于你接下来的操作没有什么影响,所以是多余的

import random
a = input("请输次数:")
a = int(a)
b = 0
c = 0
d = "正面"
e = "反面"
f = d,e
h = a

while a != 0:
    g = random.choice(f)
   
    print(g,end=" ")
    a = a - 1
    if g == "正面":
      b = b + 1         
    elif g == "反面":
      c = c + 1         
      
print("一共进行了",h,"次实验,如果如下:")            
print("正面:",b,"次")
print("反面:",c ,"次")

湘潭小五 发表于 2021-3-11 21:35:50

yuedong 发表于 2021-3-11 21:31
首先对于上边代码我做了点修改,因为你if h> 100或者小于
对于你接下来的操作没有什么影响,所以是多余的
...

我不是对这个进行修改,我是想第16课的作业后面有个记录正面或反面连续多少次,我想请大神给个指导可以用什么方法来写,只要给个思路

yuedong 发表于 2021-3-11 21:38:49

如何统计连续出现的次数,
可以考虑再设置一个标记k
当是正面的时候k+=1
如果接下来还是正面就继续加
如果不是就将它现在的值保存在一个列表中,[(正面,k)]
这样的形式,然后清零
对于反面也同法炮制
也可以只保存k,但这样应该就需要两个列表(正反各一个)
最后输出查看列表

湘潭小五 发表于 2021-3-11 22:06:14

yuedong 发表于 2021-3-11 21:38
如何统计连续出现的次数,
可以考虑再设置一个标记k
当是正面的时候k+=1


谢谢大神,我大概明白了,就是运行一次就把正面或反正记录到一个列表中,然后去计列表的长度,但是出现反面的时候怎么清零咧

yuedong 发表于 2021-3-11 22:14:40

湘潭小五 发表于 2021-3-11 22:06
谢谢大神,我大概明白了,就是运行一次就把正面或反正记录到一个列表中,然后去计列表的长度,但是出现反 ...

我原本想的是就像你记录正反面总次数一样,用一个变量记录,在出现反面的时候记录并变量=0
在出现反面的那里添加一个 if k>0: list1.append(k),k=0 ,这个用来记正面
反面用另一个列表与变量记录

湘潭小五 发表于 2021-3-11 22:29:55

yuedong 发表于 2021-3-11 22:14
我原本想的是就像你记录正反面总次数一样,用一个变量记录,在出现反面的时候记录并变量=0
在出现反面的 ...

那能不能正面和反面出现的情况都存在一个列表中,再去计算这个列表中,正面和反面出现的最大连续次数!我感觉我钻进这个牛角尖里了,就是想不通怎么出现反面的时候清空正面的记录!{:9_230:}

yuedong 发表于 2021-3-11 22:54:04

湘潭小五 发表于 2021-3-11 22:29
那能不能正面和反面出现的情况都存在一个列表中,再去计算这个列表中,正面和反面出现的最大连续次数!我 ...

存一个也是可以的不过就要[(正面,1),(反面,3)]这种吧,然后再去匹配比较找出最大的

yuedong 发表于 2021-3-11 22:58:03

我想的就是这样的,只写了正面的情况,其实很简单的,可能只是你绕晕了

import random
a = input("请输次数:")
a = int(a)
b = 0
c = 0
d = "正面"
e = "反面"
f = d,e
h = a
k = 0
list1 = []
list2 = []
while a != 0:
    g = random.choice(f)
   
    print(g,end=" ")
    a = a - 1
    if g == "正面":
      b = b + 1
      k +=1
    elif g == "反面":
      c = c + 1
      if k > 0:
            list1.append(k)
            k = 0
      
print("一共进行了",h,"次实验,如果如下:")            
print("正面:",b,"次")
print("反面:",c ,"次")
print(list1)

湘潭小五 发表于 2021-3-13 13:16:49

yuedong 发表于 2021-3-11 22:58
我想的就是这样的,只写了正面的情况,其实很简单的,可能只是你绕晕了

谢谢,但是我测试了一下记录的数不对啊

yuedong 发表于 2021-3-13 15:03:52

请输次数:10
正面 反面 正面 正面 正面 反面 反面 反面 正面 反面 一共进行了 10 次实验,如果如下:
正面: 5 次
反面: 5 次

>>>
不对吗?

湘潭小五 发表于 2021-3-13 15:16:40

yuedong 发表于 2021-3-13 15:03
请输次数:10
正面 反面 正面 正面 正面 反面 反面 反面 正面 反面 一共进行了 10 次实验,如果如下:
正 ...

不对,我之前也试过,应该只出现正面和反面的最大连续次数,你多试两下

yuedong 发表于 2021-3-13 15:57:58

。。。我这个只是记录了正面的连续次数到了列表
,没说出现正面和反面最大呀。。
反面同理写,然后找列表里最大的输出

喜欢欢 发表于 2021-3-13 16:26:35

本帖最后由 喜欢欢 于 2021-3-13 16:30 编辑

可以在定义三个变量 l = 0z = 0w = 0 一个列表q
在if (f =="正面")
       b+=1
       l = 1
      w=0
          if l==1#判断是否为连续
            z+=1
             forq in z
          else
             z=0
   else
      c+=1
         w-=1
         l = 0
         
         for w in q
   print(“正面最大连续数字:”+max(q))
   print(“负面最大连续数字:”+min(q))
大佬勿喷,我也是刚学 在英语课上瞎写的 ,不好 老师来了

喜欢欢 发表于 2021-3-13 16:37:23

求 我这猜想可以不 ,我在上课..学校电脑没有python的运行环境

atai0622 发表于 2021-3-13 16:51:18

import random
a = input("请输次数:")
a = int(a)
b = 0
c = 0
d = "正面"
e = "反面"
f = d,e
h = a
sum_zm=0      #连续正面计数
sum_fm=0      #连续反面计数
result=[['正面',0],['反面',0]]#记录正面和反面最多连续出现多少次

record=''       #初始化记录上一次抛硬币的结果
while a != 0:
    g = random.choice(f)
    if record != g:   #判断本次抛硬币结果是否和上次相同
      record = g      #更新抛硬币记录
      sum_zm=sum_fm=1   #将正面和反面连续出现记录归1
    elif record == '正面':      #如果和上次记录相同
      sum_zm += 1             #连续出现次数+1
      if sum_zm>result: #如果连续出现次数>result里的记录,就把result里的记录更新为最大值
            result=sum_zm
    else:
      sum_fm += 1             #同上,这是记录连续记录为反面的情况
      if sum_fm>result:
            result=sum_fm


    if h < 100:
      print(g,end=" ")
      a = a - 1
      if g == "正面":
            b = b + 1         
      elif g == "反面":
            c = c + 1      
    if h >= 100:      
      a = a - 1
      if g == "正面":
            b = b + 1            
      elif g == "反面":
            c = c + 1      
print("一共进行了",h,"次实验,如果如下:")            
print("正面:",b,"次",'连续出现最多',result,'次')
print("反面:",c ,"次",'连续出现最多',result,'次')

楼主可以看看这个

atai0622 发表于 2021-3-13 16:52:09

我把增加的部分加了注释,应该是挺清楚的了
页: [1]
查看完整版本: 第16课作业求教