列表

创建列表:
name_list = ['alex', 'seven', 'eric']

或

name_list = list(['alex', 'seven', 'eric'])


其实今天学习的主要内容是
索引
切片
追加
删除
长度
切片
循环
包含 索引和切片:
可以通过下标进行灵活取值
定义一个列表 name = ["baobao","wangdleong","wangwenzhe","wangweiyi","wangda","wanger"]
name = ["baobao", "wangdleong", "wangwenzhe", "wangweiyi", "wangda", "wanger"]
print(name[0]) #默认下标从0开始
print(name[2]) #取出来第三个值
print(name[0:2]) #取出零到到二之间的值
print(name[-1]) #取出倒数第一个值
print(name[::2]) #通过步长取值
print(name[-3:]) #倒数第三个到最后的值
print(name[::2][0]) #取出步长为2,下标为0的值
print(name[::2][0][0])#对值进行再次切片
name[0]="baoshan" #利用下标修改内容
name.insert(3,"wangdejiang") #直接插入下标为3的位置内容
name.append("lingling") #追加内容到最后
name.remove("baoshan") #直接删除内容
print(name)

打印的内容如下:

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" alt="" />

小练习:
name = ["baobao", "wangdleong", "xiaodongfang","wangwenzhe", "wangweiyi", "wangda", "wanger"]
name.insert(-1,"dalongfeng") #插入下标为-1的前面
name.insert(3,"dabaozi") #插到下标为3的位置
name2=name[2:8] #定义一个变量等于第一个的下标为2到7之间的值
print(name2)
print(name)
del name[7] #通过下标利用del删除插入的内容(如果是连续的可以使用[2:5])
del name[3]
name[1]="wangdelongzuzhang" #利用修改添加备注
print(name)
print(name[::2]) #利用步长进行隔离打印,隔离个数根据步长确定

打印内容如下:

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" alt="" />

列表的拷贝等操作:

name = ["baobao", "wangdleong", 9,44,25,634,478,9,"xiaodongfang","wangwenzhe", "wangweiyi", "wangda", "wanger",9,424,25,631,4748,99]
print(9 in name) #判断列表是否包含元素9,如果有为真
print(name.count(9)) #判断列表里面有几个9元素
print(name.index(9)) #查找包含元素的第一个下标值
name2=["dede",2, 8,9,3,7,1,58,"sdjagoew"]
name.extend(name2) #合并列表
name[0]="BAOBAO"
print(name)
name3=name.copy() #copy name成为name3
print(name3)
name.reverse() #翻转列表
#name.sort() #排序,在3.0之后排序只能对字符串排序
name2.pop() #默认删除最后一个
name2.pop(1) #利用下标删除指定的值
print(name2)
print(name)
#可以利用好循环修改列表里面所有相等的元组元素
for i in range(name.count(9)): name[name.index(9)]=999999
print(name)
 打印的结果:
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" alt="" />

浅拷贝对比


name = ["baobao", "wangdleong", [9,44,25,634,478,9],"xiaodongfang","wangwenzhe", "wangweiyi", "wangda", "wanger",9,424,25,631,4748,99]

name3=name.copy()
name[0]="BAOBAO" #在此位置修改不会带到name3里面去
name[2][1]=58247 #如果该镶套聊表里面的东西 name3会跟着变
name3[2][2]="DDDDDD" #如果通过name3修改也会相互的更改
#出现的原因是列表里面的镶套列表使用的是单独的内存空间
print(name)
print(name3)

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" 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" alt="" />

 深度拷贝应用,在下面有一个如何看元素个数的len
import sys,copy
name = ["baobao", "wangdleong", [9,44,25,634,478,9],"xiaodongfang","wangwenzhe", "wangweiyi", "wangda", "wanger",9,424,25,631,4748,99] name3=name.copy()
name4=copy.copy(name) #和neme拷贝一样,是浅拷贝
name5=copy.deepcopy(name) #深度拷贝,是直接拷贝了一个内存块
name[0]="BAOBAO" #在此位置修改不会带到name3里面去
name[2][1]=58247 #如果该镶套聊表里面的东西 name3会跟着变
name3[2][2]="DDDDDD" #如果通过name3修改也会相互的更改
#出现的原因是列表里面的镶套列表使用的是单独的内存空间
print(name)
print(name3)
print(name4)
print(name5)
print(len(name5)) #列表长度,元素个数
print(id(name),id(name3),id(name4),id(name5)) #可以通过id,查看内存位置

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ban7yplHtynbQ8hjiQQwr3HuKmVd4PALzi3kj6Y8GNj8fgsrE3uXI/DJjKi4R7YMlo19/IAo24px8tAAAAgE1hlrhfEbHOM+9Tz7xPPXL//kH2Mpf0j6cf/Z8DV+NuoJr29o729g4B40OKe1bZx8XFxcXF0et70W1xKOpU6ZWGbjW634ZST5wxdUMtpr7uLr5xs+U+GjV61RM16v3V1T18jEaNXvVS+4qMWPHJF2VlL0pLe1d88oVBjzQa5O6+6mJJ7b3mFy9fIIOeJxXe3b9woauh4RVBL+yScXme9v5WHq0evdSiUaNXPWj7JeRpL3rwFI0avar5518EBC7hk+7fHgOq1aOY+KzHT9H1CvRf/7Wc+1FBoO4IIa1G95e/fj9vwe6BgUE2UDbB514Lwl/uc0s4avSqlvs87dP6wDjO8uX7Hj9GT56gxMRbG9ZvM+jRyjV7Hj9FnZ0oMfHWurX/5B5SYkuIG6qmBl240OW76HPcthYqITlOyFZtvIc++stR/4AL/zEzpKUFaTQ8cWjAJWzvRAejLhxPz+Qdqw8founTP+t7+VvPjWRrkLmTI0qjQW1t6Hej11bV/RKH7GXSDoY7/sln0XDrS16bah+aVOTOvfCTcIyee2M0c7lxyA9RNB8k2D+HrDs3Dvlxghx79KMFAAAAsCnMEvfLD675MGcFfv33uU8+yF4266Svz/dL/5EUUF9/1xxxX1RUFBUVFRMTE8shJiYmKiqqqKjIQuL+WS/67vvD0/609GO/7U2tbQI31GLwjZvYtY+dMJMVuNwnYGAMelSravvgg8C5c7fcqX2Mxf2uXanHUi+G703e/vVP9XUdZCqtHl0sqZ02bdWXXx6b9z/7Fi9KoBH3ZHm4D+/DIb8fO//3Y+dzc8Ql/J/5gVP+n09E9GEs7levC3lv+jrHKZ9EROQafQ9gqu6Y4JBzOQXd3JCSy7o/zw3OLSg2vFpCfE22Dxnn1KmmP//5y6lTl61fH//oYZ9Bj7JyGj70/mLy5MXLl+9rbuoxugMBlxA31OrV0TNnrrumaGHb1hIlNCAUGBTCtUm26u9Hr/j96BVXy9Hv/+Ank7lgcW8Uhwac4+wP1h+Kvqgz8N/8nZR0+9tvc7ipRrI1yNzJEaXRIJnM5Xej1/5u9Foch+xl0g7GSNwbPUWeW1/y2lT70KTiymvuTbHc3E3tvpsS9+RtwdzdfVPHcsiPDcJ15353wY3/ywpAjF760QIAAADYFGaJ+yX7VjnnLOW+3j+3ZNZJ3xnJf5m/Z1GM6qg4cc+r7On1/Yi1XdaZ0kcP+8Sl7e1F06atuq1q0BmQQonem75O2rJZGoG6P+t5/umn3/aJbBjJwCV88BT9fux8rUbHfctGSmhpPlkZVlXzSsVHsjXI3KW1Q3MsR1im01gmd9Mxwjesc8U0Tcl5vx8wqpEpa6YwJe7pLbzJcwcAAMCuMUvcL9r76X+eXWz0mp2xaNZJ39Xhn6coMsSJey4xHGjit4+guNf0abu7ekQnL7pYPHfulv/9vxfOm7/6/MVqCQs2Apiq+7JlId7eG5ubWka8RMbgEpJHNWynhCPP69Qa3FqQP8dGc3qeZIyJG1XJnXIyDt4C5x7LIctGpiXjC9s31RqmSsvNRVxrvB6jBQAA4I3CLHHvG/7JjDN/M3rNOun7tyubrz6pVOmEnpxDKe6jo6Oxso+OjqaJ3z6C4t58entR76tfpts75I281oU8qmFrJRxJXqfW0BI/LMXF6MC60cvUjDN1oyp5xt1UebgvsmxkWjK+sH0ayDoanc4fVmu8HqMFAADgjcIsce/z/dKZp+ezrw+T/DyOLsrIzbz/5MGQEpxS3EdFReFHYUZFRdHEb7crcQ8AAAAAAAAAEmKWuF+wa/F/nJjHvv52Zu3R/uyHnY9oftAKxD0AAAAAAAAASItZ4v4voX+bluY9Lc3bPd4nQLnr4cNHwk/I4UIp7iMjI6OioqKioiIjIyktW7tJAQAAAAAAAMA6mCXu533j+0Hkwo+SVly/Xk4v6zEg7gEAAAAAAABAWswS914hPusLg8+iy0P+ZBUJpbgXgbWbFAAAAAAAAACsg3hxbyYg7gEAAAAAAABAWkDcAwAAAAAAAMBrwpsu7plfwX/6+vpaoJFpEZe7dcssFaJrYdSDI8/z58+7u7vNsWCPo44ece1jfqvSIG7wvB4zjgZYkUYmlXWxx5q+OWU2B5pVdGRW2pHHdupuLYkC4v63Ftfr9bNnzzZ6FzNt2rTs7GwcqFarJ0yY0Nraiv/UarX+/v7jxo378ssvdTqd6FRk7jSISzUs2HFpuTFqTi245WlpaVm4cOHEiRM3b96sVqvpLbBMnToVIaRUKufNmyeTyby8vCorKxFCzc3NS5culclkc+fOVSgU3OTBwcFlZWUIoVWrVrF2nJ2dKXM3NeqmTZt28OBBvV5v0RDRo27Hjh3jx48PDw/HIXl5eXPmzBk7dqynp2d5eTlv+wwLgVYle4cGgbExrCFN32KbNm2iN2tUHvNnmVKpnDNnjoODw7p168RZsNkVyUxomtd+604z6rhxbLamAt1ks2WWPHdxHo2FXUVp/BcNpB3Se9JA6UH6+/uXLl1KadMIGr/MxpHKp0jlZSQBxP1vLZ6Wlnbnzh3uuxqNhmEYnU5XVVX1zjvv4MCKigqGYZKSkvCfR48eLSgo6O/vP3fuXGpqquhUZO40iEs1LHp7e9lWwlWTPAtzasEtz+LFizMyMjQaTVpaGrtqDMsCxsnJqaioSKvV5uXlTZs2DSHk7+/f1taGLeMQTGVlZVhYGF4gAgMDOzo6cDh7MSSmRp1arT5w4EBcXJxFQ8S1/KlTp5KSkl68eDFnzhwc4uPj8/z5c51OV1hYOHnyZN72oUe4VcneoUFgbAxrSI/wjBONi4uLQqEYHBwUbcFmVyQzoVnEXte6k9hsTQVmgc2WWfLcxXk0DHcVpfFfNJB2xK1UlB5E9DYHjV/mxpHKp0jlZSQBxP0QLY4jVFVVrV+/HoccPXp08eLFCxYswH96eXn19vYihJ4/fz5//nxzUtks3FYa+TEqDLc8MplMq9UihDQaDf3eOVmjuXPn1tbWIoS6u7s/+ugjhNDy5cvxWxqNZvr06ex1YWFhenq60eLY0NBgMBjEVObVIj19+tTNzc3SISLw9fXt6uoiw7Va7cWLF0NDQ/GfptpHmCFblewdGgTGhq0NaSRFkRiGMUfZv97YYI8DJNBN4jwaIlbRYfkvAUg74vqI0oPodDoR9mn8slEcqXyKTXkZEPdDi3uGYTw8PNizWV988UV+fr6zszPO6+2338YjxmAwTJw40ZxUksAwTHV1NcMwVVVVMTExODAnJ2f69OlOTk4VFRVs8SIiIubOnVtfX4/jNDQ0uLm5TZo0KSwsLDAwECFUWVnp5OS0YsUKAXF/9+5dd3f3mTNn1tTU4JD6+npXV9dZs2Zhy5R5mVNf9trNzS0/P7+vry8+Pt7BwYHewqFDhxwdHV1dXaurqxFCLS0ts2bNCg4ODgsLM9qDz8nJycnJwde5ubl6vd5oERkYGBBxCoW3UgaDYcyYMZYOEcHUqVPT0tIcHR1dXFyUSiW32GvWrOnr68N/8rbPkAzZqgK9I4DA2DBz2WUYZu3atc3Nzdx9JnLPyWgOImKmIL4ZJ242cb8r583d0rPSqH0kWZF47RitP7x2XF1dcTi7J8cwzN69eydPnpyZmclrxx7rjohRh//cu3fvzZs32bdE74aOTE0R3ywg546tlZl3HKpUKjc3N3ZHTwTiPBoyvfYO6b8oYe2Q3pMGSg+CRC3ONH7ZKI5UPsVyXkYEIO6HFveDg4OFhYUbN27EITNmzGhubt63b19aWhpC6J133sEyvb+/nz2EIy6VJGzdujUlJWX06NGenp4BAQE4cPbs2Z2dnR0dHTgvg8HAMExpaen9+/dHjRqF43h4eFRXV9fV1bm7u+MQb2/vkpKSBw8eCIh7Hx8flUrV1NTk5+eHQ3x9fcvKyi5fvozvH6LMSzTc8ly5cmXGjBmTJk1KSUmZNGkSpYVz5851dXVptdr09HRPT0+E0IkTJ0pLS588eSKXy0NCQtiYFRUVBQUF+LqxsbGurg4hZLSIlJWVNTU1SVIpg8Egk8ksHSICBweH7OzsFy9e5Ofnf/jhh2z4y5cvjx8/vmXLFmS6fYShaVVTvSOMwNgwc9l99uyZp6dnYGCgs7NzT08PDtTr9UZmjeYgImYK4ptxomeTcO6WnpVcpFqReO0YrT+8dk6fPq1Wq93d3VUqFds4ly9fbmtrc3R05LVjj3VHxKhra2t7++23Ozo6FArF7Nmznz17RsaxtZoivllAzh1bK7NRX/T392PVi7+fF404j2ZqFaXxXzRw7ZDekwYaD4IZ7lil8SBkHKl8iuW8jAhA3FMdy9HpdFgMdXV1sVti+FaPjz76CN850dPT85e//MWcVJKQkpIyY8YMBwcHhmGSk5NxoEqlWr9+/ZQpUxjOzqLRxZ49eyZPnvz++++zLnDs2LH9/f3o1VYyajGZTIbrxX7/IJPJ+vv72bpT5iUa3h5sbW2l/3KNRaPRjB8/HiH07rvv4s0DnU7H1uvs2bPFxcVs5IaGBoVCoVAodu/eHR8fz94qHRAQgO9VNQfm18MzXl5elg4RgbOzMx69Op0OtxiLRqOZMGECMt0+wtC0Km/v0EOODfOXXaVSyTAMe/c8r1lyDpIzhZxxomfTkLlbdFZykWpF4rVDrj+kncHBwQ0bNnB7h4xD2rHHuiOi3xMSEkpKSjZu3FhYWGgqjk3VFPHNAtKOrZWZdxwODAxIVdRheTTeVZTSfw2JkR0W1nvSQONBMMPtcRoPQsaR3KdYwssMFxD3Qi2Ob73S6/WlpaX4VvfCwsKFCxcihAwGw6RJk7q7u9PT0zMzM/v6+tLS0lJSUkSnkoobN24wDLNt2zaGYdj74j08PEpLSx8+fIjrq9VqGYbRaDS4BfDF9OnTi4qKWlpa8KExhJC7u7tSqcTCBcfBVeN+azZ//nzunwihBQsWKBSK8vJy/HUkZV6iMepBfDNDRETEoUOHKC0sX75crVZrtVq5XL5kyRKEkKura2ZmplarLSgowGfT09LSsrKyEEIDAwP4uxcWox2CYZ2M5AU3Mq4FvgPbciHiCA8PT0hIwMcWcYv5+fmp1eq+vj65XL5s2TJuZHFf+wq0Ktk7lJgaG2Yuuz09PQsWLNi6dauTk9OjR49wIN7w437MM5qDiJgpiG/GiZtNeHcWP4aLN3dLz0ouUq1IvHaM1h9eO4mJid99993g4CA+SIBngVEcch2zu7ojvlGn0Wi8vb09PT1ZoUnGsamaIr5ZQM4dWyuzUV/gRjbzziuMCI/Gwq6i9P5LGNIO6T1poPQgeFf06dOnlGa50PhlNo6EPsVCXkYEIO6FWhx/Fn/rrbfwcsOGlJSUnD9/Hl/r9fqgoKBx48Z99dVX3EdhDjcVLyKejNvd3c0wTF1dHcMw7In/oqIiR0fHzZs3e3l5+fn5Mb/Clg0htHPnTrlcvmvXLn9/f3y48NKlS1OmTAkJCWH4wJZVKtUHH3wwfvz4PXv2sCHOzs4uLi74DhXKvETX3agHQ0JCxo0bt3LlSvaAxJB2cnNzXV1dZTKZn59fc3MzQqihocHX11cmk82fPx8/4uCtt95iK7Jo0SI2bWNjY2ho6P79+9mB5+HhIaIWRjViGOZPf/pTZGQkdg+WC+FlyDKr1Wp/f/+JEyf6+Pi0tLQghLKysmbOnDlhwoTVq1e3tbWZah/K1hBuVbJ3KC2TYwPDHUKi+6u2tpY7L4ymCSLmICJmCiJmHBmHcjaR81TcCkBixRWJ147R+sNrZ9SoUfgaNztvHHIds7u6I75RhxDavn07d6uVN47t1BTxzQJy7thamQXGoQDiVi0Rqyil/xrSMmmH9J40dig9CNmMkngQMo6EPoXGy4wMIO6pJqFVGOHn8jo6Ot66dctgMNTW1tIf7wLqNh8AACAASURBVLNQXvR1F+5Be3y2sXWxXJlt0LLR4LHH/kLSzVwJZ6UkjOSKNCR2Wvfu7m4/P79hPTfJHmv65pTZBldRC9kZScsWzctaIlO8uI+kQMA4pbiP4kATv32Y4t6WGeHn8ubm5rq4uDg4OLi5uXEPaFolL6nqbo/PNrYuliuz7Vu2x/5C0s3cEZuVUpVnJLHHuvv4+Li6ujY0NAwrlT3W9M0p85u8io5kL9upL+AiXtzHxMTEChITEyNgnFLcs7kIW+Ni7SYFAAAAAAAAAOsgXtzHxsbGCxIbGytgnFLcx8bGxsXFxcXFCVvjYu0mBQAAAAAAAADrYOviPiYmBot72LkHAAAAAAAAAGHMOpYTJwgcywEAAAAAAACAkcTWxX10dDQW99HR0TTx20HcAwAAAAAAAG8qtnhDbVFRUURERERERGRkZHR0dExMTExMTHR0dGRkJA4vKioCcQ8AAAAAAAAARogX9+yeuimE99qFd+6Li4ujoqKio6O54j46OjoqKqq4uFggIYh7AAAAAAAA4I3FRsV9e3t7SUlJNEFJSYlwqnYQ9wAAAAAAAMCbinhxHxUVFSOI8M9O0Zy5N9L3NMq+3bxfqBXxE9YSIi5365ZZKkTXwuq/Mfz8+XP2p8vFYY+jjh5x7WN+q9IgbvC8HjOOBliRRiaVdbHHmr45ZTYHmlV0ZFbakcd26m5/v1A7AuK+/dfzOTSncViGV39Oi5M/OCyuS8SlsrUfo2Zhq2O5MWpOLbjlaWlpWbhw4cSJEzdv3qxWq+ktsEydOhUhpFQq582bJ5PJvLy8KisrEULNzc1Lly6VyWRz585VKBTc5MHBwWVlZQihVatWsXacnZ0pczc16qZNm3bw4EG9Xm/RENGjbseOHePHjw8PD8cheXl5c+bMGTt2rKenZ3l5OW/7DAuBViV7hwaBsTGsIU3fYps2baI3a1Qe82eZUqmcM2eOg4PDunXrxFmw2RXJTGia137rTjPquHFstqYC3WSzZZY8d3EejYVdRWn8Fw2kHdJ70kDpQfr7+5cuXUpp0wgav8zGkcqnSOVlJMHWxX17e3txcTG9sm83Q9yTPzj88uVLEV0iLpWt/Rg1S29vL1sdjUZjiTFqTi245Vm8eHFGRoZGo0lLS2NXjWFZwDg5ORUVFWm12ry8vGnTpiGE/P3929rasGUcgqmsrAwLC8MLRGBgYEdHBw5nL4aErDtuZLVafeDAgbi4OIuGiGv5U6dOJSUlvXjxYs6cOTjEx8fn+fPnOp2usLBw8uTJvO1Dj3Crkr1Dg8DYGNaQHuEZJxoXFxeFQjE4OCjags2uSGZCs4i9rnUnsdmaCswCmy2z5LmL82gY7ipK479oIO2IW6koPYjobQ4av8yNI5VPkcrLSIJ4cW8mlrM8vPoP1eLiumTkO9KicKtja1Xjlkcmk2m1WoSQRqOh3zsnazR37tza2lqEUHd390cffYQQWr58OX5Lo9FMnz6dvS4sLExPTzdaHBsaGgwGg5jKvFqkp0+furm5WTpEBL6+vl1dXWS4Vqu9ePFiaGgo/tNU+wgzZKuSvUODwNiwtSGNpCgSwzDmKPvXGxvscYAEukmcR0PEKjos/yUAaUdcH1F6EJ1OJ8I+jV82iiOVT7EpLwPifmhxHxUVNXXqVPbLmpycnOnTpzs5OVVUVOCQ+vp6V1fXWbNm1dfXm5NKEhiGqa6uZhimqqoqJiaGN3f8gTgiImLu3Lls7g0NDW5ubpMmTQoLCwsMDEQIVVZWOjk5rVixQkDc3717193dfebMmTU1Nbz1oszLnPqy125ubvn5+X19ffHx8Q4ODvQWDh065Ojo6OrqWl1djRBqaWmZNWtWcHBwWFiY0R58Tk5OTk4Ovs7NzdXr9UaLyMDAgIhTKLyVMhgMY8aMsXSICKZOnZqWlubo6Oji4qJUKrnFXrNmTV9fH/6Tt32GZMhWFegdAQTGhpnLLsMwa9eubW5u5u4zkXtONCsAOePEzSbud+W8uVt6Vhq1jyQrEq8do/WH146rqysOZ/fkGIbZu3fv5MmTMzMzee3YY90RMerwn3v37r158yb7lujd0JGpKeKbBeTcsbUy845DlUrl5ua2YMEC0SUU59GQ6bV3SP9FCWuH9J40UHoQJGpxpvHLRnGk8imW8zIiAHE/tLgvKytTqVTe3t44ZPbs2Z2dnR0dHe+88w4O8fX1LSsru3z5MnvHjLhUkrB169aUlJTRo0d7enoGBATw5m4wGBiGKS0tvX///qhRo3AcDw+P6urquro6d3d3HOLt7V1SUvLgwQMBce/j46NSqZqamvz8/HjrRZmXaLjluXLlyowZMyZNmpSSkjJp0iRKC+fOnevq6tJqtenp6Z6engihEydOlJaWPnnyRC6Xh4SEsDErKioKCgrwdWNjY11dHULIaBEpKytramqSpFIGg0Emk1k6RAQODg7Z2dkvXrzIz8//8MMP2fCXL18eP358y5YtyHT7CEPTqqZ6RxiBsWHmsvvs2TNPT8/AwEBnZ+eenh4cqNfrjczSrADkjBM9m4Rzt/Ss5CLVisRrx2j94bVz+vRptVrt7u6uUqnYxrl8+XJbW5ujoyOvHXusOyJGXVtb29tvv93R0aFQKGbPnv3s2TMyjq3VFPHNAnLu2FqZjfqiv78fq97e3l5zSijOo5laRWn8Fw1cO6T3pIHGg2CGO1ZpPAgZRyqfYjkvIwIQ91THcvR6/bhx43CISqVav379lClT2LQymay/v1+n0xlJqOGmkoSUlJQZM2Y4ODgwDJOcnGwqd/Jiz549kydPfv/991kXOHbs2P7+fvRqKxm1mEwmw7sUEydOFG4N4bxEw9uDra2t9F+usWg0mvHjxyOE3n33Xbx5oNPp2HqdPXu2uLiYjdzQ0KBQKBQKxe7du+Pj41tbW3F4QEAAvlfVHJhfD894eXlZOkQEzs7O+G4hnU6HW4xFo9FMmDABmW4fYWhalbd36CHHhvnLrlKpZBgmOztbwCzNCkDOONGzacjcLToruUi1IvHaIdcf0s7g4OCGDRu4vUPGIe3YY90R0e8JCQklJSUbN24sLCw0Fcemaor4ZgFpx9bKzDsOBwYGpCrqsDwa7ypK6b+GxMgOC+s9aaDxIJjh9jiNByHjSO5TLOFlhguI+6HFfVNTk1KpZD+Venh4lJaWPnz4kE27YMEChUJRXl7OfgEnLpUk3Lhxg2GYbdu2MQzD3hdvlLtWq2UYRqPR4KLii+nTpxcVFbW0tOBDYwghd3d3pVKJhQuOg+9F435rNn/+fO6fZL0o8xKNUQ96eXn19vZGREQcOnSI0sLy5cvVarVWq5XL5UuWLEEIubq6ZmZmarXagoICfDY9LS0tKysLITQwMJCWlsZNbrRDMKyTkbzgRsa1SEpKsmiIOMLDwxMSEvCxRdxifn5+arW6r69PLpcvW7aMG1nc174CrUr2DiWmxoaZy25PT8+CBQu2bt3q5OT06NEjHIg3/Lgf82hWAHLGiZtNeHdWp9OZyt3Ss5KLVCsSrx2j9YfXTmJi4nfffTc4OIgPEuBZYBSHXMfsru6Ib9RpNBpvb29PT09WaJJxbKqmiG8WkHPH1sps1Be4kc288wojwqOxsKsovf8ShrRDek8aKD1IV1cXwzBPnz6lNMuFxi+zcST0KRbyMiIAcT9Ei2/YsOG9996bOXMmezKsqKjI0dFx8+bNXl5e+Ds4lUrl7Ozs4uKC78kQnYpExImd7u5uhmHq6uoYhmGf4WqUO/MriHMEc+fOnXK5fNeuXf7+/vhw4aVLl6ZMmRISEsLwgS2rVKoPPvhg/Pjxe/bsYUO49aLMS3TdjXowJCRk3LhxK1euZA9IDGknNzfX1dVVJpP5+fk1NzcjhBoaGnx9fWUy2fz58/EjDt566y22IosWLWLTNjY2hoaG7t+/nx14Hh4eImphVCOGYf70pz9FRkZi92C5EF6GLLNarfb39584caKPj09LSwtCKCsra+bMmRMmTFi9enVbW5up9qFsDeFWJXuH0jI5NjDcISS6v2pra7nzwmiaILoVwGjGkXEoZxM5T8WtACRWXJF47RitP7x2Ro0aha9xs/PGIdcxu6s74ht1CKHt27dzt1p549hOTRHfLCDnjq2VWWAcCiBu1RKxilL6ryEtk3ZI70ljh9KDkM0oiQch40joU2i8zMgA4p5qElqFEX4ur6Oj461btwwGQ21tLf3xPgvlRV934R60x2cbWxfLldkGLRsNHnvsLyTdzJVwVkrCSK5IQ2Knde/u7vbz8xvWc5PssaZvTpltcBW1kJ2RtGzRvKwlMt90cW/LjPBzeXNzc11cXBwcHNzc3LgHNK2Sl1R1t8dnG1sXy5XZ9i3bY38h6WbuiM1Kqcozkthj3X18fFxdXRsaGoaVyh5r+uaU+U1eRUeyl+3UF3CxCXFfUVGxf//+LVu2fDl8goKCUlNTW1tbXz9xDwAAAAAAAADDwibE/Q8//PD9998nJiYmD5/ExMTw8PDTp0+DuAcAAAAAAADecGxC3H/11VdyuVyEsmf1/fbt20HcAwAAAAAAAG84NiHuv/zyS3opvzs1f3dqfmJyWmJyGhv45ZdfgrgHAAAAAAAA3nBsTtwvESQ5OfmzXVGrd0fv2R8J4h4AAAAAAAAAuJgl7mM4mAoZrrgfErk8OTn52Prw+N2p+SDuAQAAAAAAAIDFLHEfGxsbHx8fHx8fGxtrKkRCcX8w+dy+pKyV30bsTs3/x57DIO4BAAAAAAAAgItZ4j4uLi4hISEhISEuLs5UiITifu+RzM937F+9O3p3aj7s3AMAAAAAAACAEeaKe7xPzxX3RiHDEvc/Jef/86fkpTsjl+yISH71/H1ycvKCb5KX7slY/tOZxeGn9kfESnLm3ujHw0T8hLWEiMvdumWWCtG1sPpvDD9//pz96XJx2OOoo0dc+5jfqjSIGzyvx4yjAVakkUllXeyxpm9Omc2BZhUdmZV25LGdutvlL9TGxsbGxcXFxcVxj+UYhQxX3K8PORSaeuGb44Xkzn1AyrUlP55esT97S2q5VE/L4bY4+YPD4rpEXCpb+zFqFrY6lhuj5tSCW56WlpaFCxdOnDhx8+bNarWa3gLL1KlTEUJKpXLevHkymczLy6uyshIh1NzcvHTpUplMNnfuXIVCwU0eHBxcVlaGEFq1ahVrx9nZmTJ3U6Nu2rRpBw8e1Ov1Fg0RPep27Ngxfvz48PBwHJKXlzdnzpyxY8d6enqWl5fzts+wEGhVsndoEBgbwxrS9C22adMmerNG5TF/limVyjlz5jg4OKxbt06cBZtdkcyEpnntt+40o44bx2ZrKtBNNltmyXMX59FY2FWUxn/RQNohvScNlB6kv79/6dKllDaNoPHLbBypfIpUXkYSzL2hFkt57g21RiHDEve7U/NXfhsRmnphcciho0flycnHXpX3x+Ty5E93x4emXjDS/ZKIe/IHh1++fCmiS8SlsrUfo2bp7e1lq6PRaCwxRs2pBbc8ixcvzsjI0Gg0aWlp7KoxLAsYJyenoqIirVabl5c3bdo0hJC/v39bWxu2jEMwlZWVYWFheIEIDAzs6OjA4ezFkJB1x42sVqsPHDgQFxdn0RBxLX/q1KmkpKQXL17MmTMHh/j4+Dx//lyn0xUWFk6ePJm3fegRblWyd2gQGBvDGtIjPONE4+LiolAoBgcHRVuw2RXJTGgWsde17iQ2W1OBWWCzZZY8d3EeDcNdRWn8Fw2kHXErFaUHEb3NQeOXuXGk8ilSeRlJMFfcx8bGxsbGcsW9UciwxP1Pyfnrth/cklo+b3ui97bDXyZfIffvd8mLdyeXWGLnXlwECVPZLNzq2FrVuOWRyWRarRYhpNFo6PfOyRrNnTu3trYWIdTd3f3RRx8hhJYvX47f0mg006dPZ68LCwvT09ONFseGhgaDwSCmMq8W6enTp25ubpYOEYGvr29XVxcZrtVqL168GBoaiv801T7CDNmqZO/QIDA2bG1IIymKxDCMOcr+9cYGexwggW4S59EQsYoOy38JQNoR10eUHkSn04mwT+OXjeJI5VNsysuYJe6jo6PxUy+jo6NNhQxX3AfvO7bgm+SPvzu+4Jtkr+AE8uS9X8ABv4ADu374acTEfVRU1NSpU9kva3JycqZPn+7k5FRRUYFD6uvrXV1dZ82aVV9fb04qSWAYprq6mmGYqqqqmJgY3tzxB+KIiIi5c+eyuTc0NLi5uU2aNCksLCwwMBAhVFlZ6eTktGLFCgFxf/fuXXd395kzZ9bU1PDWizIvc+rLXru5ueXn5/f19cXHxzs4ONBbOHTokKOjo6ura3V1NUKopaVl1qxZwcHBYWFhRnvwOTk5OTk5+Do3N1ev1xstIgMDAyJOofBWymAwjBkzxtIhIpg6dWpaWpqjo6OLi4tSqeQWe82aNX19ffhP3vYZkiFbVaB3BBAYG2YuuwzDrF27trm5mbvPRO450awA5IwTN5u435Xz5m7pWWnUPpKsSLx2jNYfXjuurq44nN2TYxhm7969kydPzszM5LVjj3VHxKjDf+7du/fmzZvsW6J3Q0empohvFpBzx9bKzDsOVSqVm5vbggULRJdQnEdDptfeIf0XJawd0nvSQOlBkKjFmcYvG8WRyqdYzsuIwLbEPSY09cKnu+M/37F/75FMo2M5ycnHouSZ0clnFgUe3J1cMjLivqysTKVSeXt745DZs2d3dnZ2dHS88847OMTX17esrOzy5cvsHTPiUknC1q1bU1JSRo8e7enpGRAQwJu7wWBgGKa0tPT+/fujRo3CcTw8PKqrq+vq6tzd3XGIt7d3SUnJgwcPBMS9j4+PSqVqamry8/PjrRdlXqLhlufKlSszZsyYNGlSSkrKpEmTKC2cO3euq6tLq9Wmp6d7enoihE6cOFFaWvrkyRO5XB4SEsLGrKioKCgowNeNjY11dXUIIaNFpKysrKmpSZJKGQwGmUxm6RARODg4ZGdnv3jxIj8//8MPP2TDX758efz48S1btiDT7SMMTaua6h1hBMaGmcvus2fPPD09AwMDnZ2de3p6cKBerzcyS7MCkDNO9GwSzt3Ss5KLVCsSrx2j9YfXzunTp9Vqtbu7u0qlYhvn8uXLbW1tjo6OvHbsse6IGHVtbW1vv/12R0eHQqGYPXv2s2fPyDi2VlPENwvIuWNrZTbqi/7+fqx6e3t7zSmhOI9mahWl8V80cO2Q3pMGGg+CGe5YpfEgZBypfIrlvIwIzBL3UVFR0dHR0dHRUVFRpkLEifslOyL2JWUdTD5nJO4TE5PWfrUzOvnM4i2HRkzcI4T0ev24ceNwiEqlWr9+/ZQpU9i0Mpmsv79fp9MZSajhppKElJSUGTNmODg4MAyTnJxsKnfyYs+ePZMnT37//fdZFzh27Nj+/n70aisZtZhMJsO7FBMnThRuDeG8RMPbg62trfRfrrFoNJrx48cjhN599128eaDT6dh6nT17tri4mI3c0NCgUCgUCsXu3bvj4+NbW1txeEBAAL5X1RyYXw/PeHl5WTpEBM7OzvhuIZ1Oh1uMRaPRTJgwAZluH2FoWpW3d+ghx4b5y65SqWQYJjs7W8AszQpAzjjRs2nI3C06K7lItSLx2iHXH9LO4ODghg0buL1DxiHt2GPdEdHvCQkJJSUlGzduLCwsNBXHpmqK+GYBacfWysw7DgcGBqQq6rA8Gu8qSum/hsTIDgvrPWmg8SCY4fY4jQch40juUyzhZYaLLYr75ORjR4/KydP2Ow+f//iLvQv9f9qdXOIXcGDExH1TU5NSqWQ/lXp4eJSWlj58+JBNu2DBAoVCUV5ezn4BJy6VJNy4cYNhmG3btjEMw94Xb5S7VqtlGEaj0eCi4ovp06cXFRW1tLTgQ2MIIXd3d6VSiYULjoPvReN+azZ//nzun2S9KPMSjVEPenl59fb2RkREHDp0iNLC8uXL1Wq1VquVy+VLlixBCLm6umZmZmq12oKCAnw2PS0tLSsrCyE0MDCQlpbGTW60QzCsk5G84EbGtUhKSrJoiDjCw8MTEhLwsUXcYn5+fmq1uq+vTy6XL1u2jBtZ3Ne+Aq1K9g4lpsaGmctuT0/PggULtm7d6uTk9OjRIxyIN/y4H/NoVgByxombTXh3VqfTmcrd0rOSi1QrEq8do/WH105iYuJ33303ODiIDxLgWWAUh1zH7K7uiG/UaTQab29vT09PVmiScWyqpohvFpBzx9bKbNQXuJHNvPMKI8KjsbCrKL3/Eoa0Q3pPGig9SFdXF8MwT58+pTTLhcYvs3Ek9CkW8jIiMEvcR0ZGRkVFRUVFRUZGmgoZrrhfYoLk5OTZAXFz/5nove2wR1Dc7vB9I3PmfsOGDe+9997MmTPZk2FFRUWOjo6bN2/28vLC38GpVCpnZ2cXFxd8T4boVCQiTux0d3czDFNXV8cwDPsMV6PcmV9BnCOYO3fulMvlu3bt8vf3x4cLL126NGXKlJCQEIYPbFmlUn3wwQfjx4/fs2cPG8KtF2Veoutu1IMhISHjxo1buXIle0BiSDu5ubmurq4ymczPz6+5uRkh1NDQ4OvrK5PJ5s+fjx9x8NZbb7EVWbRoEZu2sbExNDR0//797MDz8PAQUQujGjEM86c//SkyMhK7B8uF8DJkmdVqtb+//8SJE318fFpaWhBCWVlZM2fOnDBhwurVq9va2ky1D2VrCLcq2TuUlsmxgeEOIdH9VVtby50XRtME0a0ARjOOjEM5m8h5Km4FILHiisRrx2j94bUzatQofI2bnTcOuY7ZXd0R36hDCG3fvp271cobx3ZqivhmATl3bK3MAuNQAHGrlohVlNJ/DWmZtEN6Txo7lB6EbEZJPAgZR0KfQuNlRgazxL05iPiF2s+Tyz23J/8lJEna59zTTEKrMMLP5XV0dLx165bBYKitraU/3mehvOjrLtyD9vhsY+tiuTLboGWjwWOP/YWkm7kSzkpJGMkVaUjstO7d3d1+fn7Dem6SPdb0zSmzDa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