闭包定义：
如果在一个内部函数里，对在外部作用域（但不是在全局作用域）的变量进行引用，那么内部函数就被认为是闭包;
闭包的概念：闭包（Closure）是词法闭包（Lexical Closure）的简称，是引用了自由变量的函数。这个被引用的自由变量将和这个函数一同存在，即使已经离开了创造它的环境也不例外。所以，闭包是由函数和与其相关的引用环境组合而成的实体。
采用比较说法就是，通常一个函数运行结束之后，内部变量就会被销毁释放，C就是这样；然而在闭包这种结构中，外部函数的局部变量在该函数运行之后，其内部变量值在竟然在其返回的内部函数中得到了保持，这是比较本质的内容！！
函数可以嵌套定义，即在一个函数内部可以定义另一个函数，有了嵌套函数这种结构，便会产生闭包问题。
这会产生一些好的操作！
偏函数，装饰器 是否采用了闭包机制 延迟了一个函数部分执行？
常用高阶函数接收函数作为参数，很有可能返回一个闭包。
Short answer: closure is the mechanism, while functools.partial and decorators are typical uses of that mechanism.
The key difference between a closure and more typical namespaces is that the names and values in the "closed-over" namespace don‘t vanish when control flow leaves the top-level function. They‘re preserved in a mini-namespace associated with one instance of the inner function, and which survives as long as that instance does.
functools.partial uses that ability to "remember" some arguments to a pre-existing function. Decorators also typically use that ability for the same reasons.
Note that a decorator is more flexible than that. Any callable that takes one parameter and returns something can serve as a decorator. It doesn‘t have to make use of Python closures, or even return a function. Many decorators return a callable object instead. (As an aside, a closure and inner function can be simulated using an object for the namespace and a method for the inner function.)
Whatever the decorator returns is assigned to the name the decorated function would have had. (Decorators with parentheses after them, like @decorator(‘args‘) ... are slightly more complicated.) The typical decorator syntax:
@decorator
def function():
pass
...is just a shorthand for "define, then decorate and reassign":
def function():
pass
function = decorator(function)
For an extreme (and mostly useless) example:
def decorator5(__):
return 5
@decorator5
def square(x):
return x * x
print(square) # Prints 5 --- the function is gone.
square(10) # TypeError: ‘int‘ object is not callable
原文地址：https://www.cnblogs.com/wdmx/p/9955700.html