深复制和浅复制分别python_python深copy 浅copy?

import copy
def test_copy_func():
    x=[1,5,[4,5]]
    print(type(x),'id x=',id(x),type(x[2]),"id[2]=",id(x[2]),"id[0]=",id(x[0]),'id int 1=',id(1))
    y=x                     #是贴了两个标签的效果, y is x=true
    print(type(y),'id y=',id(y),"id[2]=",id(y[2]),"id[0]=",id(y[0]))
    y[0]=2
    y[2][0]=0               
    print("再次输出x",type(x),'id x=',id(x),"id[2]=",id(x[2]),"id[0]=",id(x[0]),"id int 2=",id(2))
    print("y=x,y is x?",y is x)
    w=copy.copy(x)          #新开辟了一个存储空间；只拷贝顶级对象，嵌套对象仍然是标签效果，会改变源数据；w is not x；
    print(type(w),'id w=',id(w),"id[2]=",id(w[2]),"id[0]=",id(w[0]))
    print("w=copy.copy(x),w is x?",w is x)
    w[0]=1
    print("w=copy.copy(x),w[2] is x[2]?",w[2] is x[2])
    w[2][0]+=1
    #deepcopy会对所有嵌套对象开辟新存储空间
    z=copy.deepcopy(x)
    z[2][0]=1
    print(type(z),id(z),"id[2]=",id(z[2]))
    print("z=copy.deepcopy(x),z[2] is x[2]?",z[2] is x[2])
    #以上问题的总结试题
    a = [1,2,3,[4,5],6]
    b=a
    c=copy.copy(a)
    d=copy.deepcopy(a)
    b.append(10)
    c[3].append(11)
    d[3].append(12)
    #a=b=[1, 2, 3, [4, 5, 11], 6, 10]
    #c=[1, 2, 3, [4, 5, 11], 6]
    #d=[1, 2, 3, [4, 5, 12], 6]
    system('pause')

if __name__=='__main__':
    test_copy_func()
    system('pause')

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