• Python 学习笔记(3)


    Class:

    def scope_test():
        def do_local():
            spam = "local spam"
        def do_nonlocal():
            nonlocal spam
            spam = "nonlocal spam"
        def do_global():
            global spam
            spam = "global spam"
        spam = "test spam"
        do_local()
        print("After local assignment:", spam)
        do_nonlocal()
        print("After nonlocal assignment:", spam)
        do_global()
        print("After global assignment:", spam)
    
    scope_test()
    print("In global scope:", spam)
    

    The output of the example code is:

    After local assignment: test spam
    After nonlocal assignment: nonlocal spam
    After global assignment: nonlocal spam
    In global scope: global spam


    class MyClass:
        """A simple example class"""
        i = 12345
        def f(self):
            return 'hello world'


    So in our example, x.f is a valid method reference, since MyClass.f is a function, but x.i is not, since MyClass.i is not. But x.f is not the same thing as MyClass.f — it is a method object, not a function object.

    In our example, the call x.f() is exactly equivalent to MyClass.f(x). In general, calling a method with a list of n arguments is equivalent to calling the corresponding function with an argument list that is created by inserting the method’s object before the first argument.

    shared data can have possibly surprising effects with involving mutableobjects such as lists and dictionaries. For example, the tricks list in the following code should not be used as a class variable because just a single list would be shared by all Dog instances:

    class Dog:
    
        tricks = []             # mistaken use of a class variable
    
        def __init__(self, name):
            self.name = name
    
        def add_trick(self, trick):
            self.tricks.append(trick)
    
    >>> d = Dog('Fido')
    >>> e = Dog('Buddy')
    >>> d.add_trick('roll over')
    >>> e.add_trick('play dead')
    >>> d.tricks                # unexpectedly shared by all dogs
    ['roll over', 'play dead']
    

    Correct design of the class should use an instance variable instead:

    class Dog:
    
        def __init__(self, name):
            self.name = name
            self.tricks = []    # creates a new empty list for each dog
    
        def add_trick(self, trick):
            self.tricks.append(trick)
    
    >>> d = Dog('Fido')
    >>> e = Dog('Buddy')
    >>> d.add_trick('roll over')
    >>> e.add_trick('play dead')
    >>> d.tricks
    ['roll over']
    >>> e.tricks
    ['play dead']


  • 相关阅读:
    批处理文件双击运行成功,程序调用却运行失败解决方案
    前端安全之加解密种类与HTTPS加密原理(二)
    node包管理nvm与pnpm(一)
    React状态管理—reduxAPI原理分析(三)
    动态规划原理与算法实践(二)
    双指针算法基本原理和实践(一)
    分治算法基本原理和实践(三)
    编程范式(一)
    Java基础
    前端模块化CommonJS、AMD、CMD、ES6模块(二)
  • 原文地址:https://www.cnblogs.com/wintor12/p/3900492.html
Copyright © 2020-2023  润新知