• Python 中模块间全局变量的使用上的注意


    最近用Python写代码,需要用到模块间的全局变量。

    网上四处搜索,发现普遍做法是把全局变量放到一个独立的模块中,使用时,导入此全局变量模块即可。

    但是在实际使用过程中发现了些小问题:在使用如下代码导入全局变量模块时,各个模块获取到的全局变量都是初始值。

    from module import global_var

    但是如果使用「模块名.全局变量名」来访问时,却又是正常的:

    import module
    
    print module.global_var

    为了弄清其中的原委,我写了个测试程序来仔细查看其中的细节:

    1. import module

    global_var.py

    GLOBAL_VAR = [1, 2, 3]

    m1.py

    import global_var
    import m2
    
    print 'm1: before appending:          ', id(global_var.GLOBAL_VAR), global_var.GLOBAL_VAR
    global_var.GLOBAL_VAR.append('m1')
    print 'm1: after appending:           ', id(global_var.GLOBAL_VAR), global_var.GLOBAL_VAR
    
    print 'm1: before calling m2.append():', id(global_var.GLOBAL_VAR), global_var.GLOBAL_VAR
    m2.append()
    print 'm1: after calling m2.append(): ', id(global_var.GLOBAL_VAR), global_var.GLOBAL_VAR
    
    print '-----------------'
    
    print 'm1: before assigning:          ', id(global_var.GLOBAL_VAR), global_var.GLOBAL_VAR
    global_var.GLOBAL_VAR = ['m1']
    print 'm1: after assigning:           ', id(global_var.GLOBAL_VAR), global_var.GLOBAL_VAR
    
    print 'm1: before calling m2.assign():', id(global_var.GLOBAL_VAR), global_var.GLOBAL_VAR
    m2.assign()
    print 'm1: after calling m2.assign(): ', id(global_var.GLOBAL_VAR), global_var.GLOBAL_VAR

    m2.py

    import global_var
    
    def append():
        print 'm2: before assiging:           ', id(global_var.GLOBAL_VAR), global_var.GLOBAL_VAR
        global_var.GLOBAL_VAR.append('m2')
        print 'm2: after assiging:            ', id(global_var.GLOBAL_VAR), global_var.GLOBAL_VAR
    
    def assign():
        print 'm2: before assiging:           ', id(global_var.GLOBAL_VAR), global_var.GLOBAL_VAR
        global_var.GLOBAL_VAR = ['m2']
        print 'm2: after assiging:            ', id(global_var.GLOBAL_VAR), global_var.GLOBAL_VAR

    运行结果:

    Mac-pastgift:pytest pastgift$ python global_test_import/m1.py
    m1: before appending:           4457308312 [1, 2, 3]
    m1: after appending:            4457308312 [1, 2, 3, 'm1']
    m1: before calling m2.append(): 4457308312 [1, 2, 3, 'm1']
    m2: before assiging:            4457308312 [1, 2, 3, 'm1']
    m2: after assiging:             4457308312 [1, 2, 3, 'm1', 'm2']
    m1: after calling m2.append():  4457308312 [1, 2, 3, 'm1', 'm2']
    -----------------
    m1: before assigning:           4457308312 [1, 2, 3, 'm1', 'm2']
    m1: after assigning:            4457444848 ['m1']
    m1: before calling m2.assign(): 4457444848 ['m1']
    m2: before assiging:            4457444848 ['m1']
    m2: after assiging:             4457308312 ['m2']
    m1: after calling m2.assign():  4457308312 ['m2']

    在这种方式下,如果是改变对象本身的操作(append),各个模块内部的操作都是针对于同一个对象。

    而赋值操作,虽然全局变量所指向的对象改变了,但是全局变量本身依然在各个模块内部能够正确访问,这正是我所希望的效果。

    2. from module import GLOBAL_VAR

    global_var.py

    GLOBAL_VAR = [1, 2, 3]

    m1.py

    from global_var import GLOBAL_VAR
    import m2
    
    print 'm1: before appending:          ', id(GLOBAL_VAR), GLOBAL_VAR
    GLOBAL_VAR.append('m1')
    print 'm1: after appending:           ', id(GLOBAL_VAR), GLOBAL_VAR
    
    print 'm1: before calling m2.append():', id(GLOBAL_VAR), GLOBAL_VAR
    m2.append()
    print 'm1: after calling m2.append(): ', id(GLOBAL_VAR), GLOBAL_VAR
    
    print '-----------------'
    
    print 'm1: before assigning:          ', id(GLOBAL_VAR), GLOBAL_VAR
    GLOBAL_VAR = ['m1']
    print 'm1: after assigning:           ', id(GLOBAL_VAR), GLOBAL_VAR
    
    print 'm1: before calling m2.assign():', id(GLOBAL_VAR), GLOBAL_VAR
    m2.assign()
    print 'm1: after calling m2.assign(): ', id(GLOBAL_VAR), GLOBAL_VAR

    m2.py

    from global_var import GLOBAL_VAR
    
    def append():
        global GLOBAL_VAR
    
        print 'm2: before assiging:           ', id(GLOBAL_VAR), GLOBAL_VAR
        GLOBAL_VAR.append('m2')
        print 'm2: after assiging:            ', id(GLOBAL_VAR), GLOBAL_VAR
    
    def assign():
        global GLOBAL_VAR
    
        print 'm2: before assiging:           ', id(GLOBAL_VAR), GLOBAL_VAR
        GLOBAL_VAR = ['m2']
        print 'm2: after assiging:            ', id(GLOBAL_VAR), GLOBAL_VAR

    运行结果:

    Mac-pastgift:pytest pastgift$ python global_test_from_import/m1.py
    m1: before appending:           4539998360 [1, 2, 3]
    m1: after appending:            4539998360 [1, 2, 3, 'm1']
    m1: before calling m2.append(): 4539998360 [1, 2, 3, 'm1']
    m2: before assiging:            4539998360 [1, 2, 3, 'm1']
    m2: after assiging:             4539998360 [1, 2, 3, 'm1', 'm2']
    m1: after calling m2.append():  4539998360 [1, 2, 3, 'm1', 'm2']
    -----------------
    m1: before assigning:           4539998360 [1, 2, 3, 'm1', 'm2']
    m1: after assigning:            4540135112 ['m1']
    m1: before calling m2.assign(): 4540135112 ['m1']
    m2: before assiging:            4539998360 [1, 2, 3, 'm1', 'm2']
    m2: after assiging:             4540135040 ['m2']
    m1: after calling m2.assign():  4540135112 ['m1']

    这次,运行结果和上次略有不同。

    改变对象本身的操作(append)和之前的例子一样,全局变量始终指向相同的对象。

    但是赋值操作就比较奇怪了。注意标红部分,每个模块第一次获取到的这个「全局变量」都是相同id的对象。即使这个「全局变量」在其他模块中已经被重新赋值,但在本模块中依然指向的是最原始的id。

    显然,这个算不上是「全局变量」了。

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  • 原文地址:https://www.cnblogs.com/pastgift/p/3985032.html
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