make_pretty()that takes a function as its argument and has a nested function namedinner(), and returns the inner function. We are calling theordinary()function normally, so we get the output"I am ordinary". Now, let's call it using the decorator function. defmake_pretty(func):# define...
以上示例定义了一个装饰器 log_decorator,用于在函数调用前后打印函数名以及函数返回值。 accumulate函数@log_decorator装饰器。 在主程序中,调用 accumulate 函数,运行程序将会打印以下内容 accumulate was called accumulate returned: 5050 如果以后要跟踪哪个函数是否被执行了,@一下log_decorator就可以了。 2.3 反复尝试...
@parametrized_decorator("Custom Parameter") def example_function(): print("这是一个示例函数") example_function() 在这个例子中,parameterized_decorator是一个接受参数的外层函数,它返回一个真正的装饰器函数decorator。decorator函数接受被装饰的函数,并在包裹函数wrapper中使用了传递进来的参数param。这样,我们可以...
In the example, we use a class decorator to count the calls of a regular function. def __init__(self, fun): functools.update_wrapper(self, fun) self.fun = fun self.num_of_calls = 0 We call theupdate_wrapperfunction. It has the same purpose as the@wrapsdecorator; i.e. it keeps ...
@param_decorator("example")defexample_function():print("This is an example function") 1. 2. 3. 3. 在装饰器函数内部定义一个包裹函数,接收被装饰函数 defparam_decorator(param):defdecorator(func):defwrapper(*args,**kwargs):print(f"Decorator param:{param}")result=func(*args,**kwargs)return...
@timing_decorator deftime_consuming_function():# 模拟耗时操作 time.sleep(2)print("函数执行完成")time_consuming_function() 这个例子展示了如何使用装饰器记录函数的执行时间,从而方便性能分析。 2. 权限验证装饰器 代码语言:javascript 复制 defcheck_permission(role):defdecorator(func):defwrapper(*args,...
Help on function say_wheeinmodule whee: Example code importfunctoolsdefdecorator(func):@functools.wraps(func)defwrapper_decorator(*args, **kwargs):# Do something beforevalue = func(*args, **kwargs)# Do something afterreturnvaluereturnwrapper_decorator ...
python2#-*- coding:utf-8 -*-deff():print"Call function f"f1=f f1()#查看函数对象的名字f.__name__f1.__name__#导入functools模块#因为经过装饰的函数它们的__name__变成了decorator里面的函数名字,对于#这个例子就是write_ahead#为了把原始函数名字等属性复制到write_ahead中我们使用@functools.wraps(...
@timing_decorator def example_function(n): sum = 0 for i in range(n): sum += i return sum example_function(1000000) 输出示例: example_function ran in: 0.12345 secs2.2 使用functools.wraps保持元信息 直接应用上述装饰器会丢失被装饰函数的一些重要属性,比如函数名、文档字符串等。为了解决这个问题,...
The following example does the exact same thing as the first decorator example: Python hello_decorator.py def decorator(func): def wrapper(): print("Something is happening before the function is called.") func() print("Something is happening after the function is called.") return wrapper @...