decorator_with_arguments.py class decorator_with_arguments(object): def __init__(self, arg1, arg2, arg3): # TypeError: __init__() takes 4 positional arguments but 5 were given """ If there are decorator arguments, the function to be decorated is not passed to the constructor! """ ...
deflog_decorator(func):defwrapper(*args,**kwargs):print(f"Calling function {func.__name__} with arguments {args} and {kwargs}")result=func(*args,**kwargs)print(f"Function {func.__name__} returned {result}")returnresultreturnwrapper @log_decorator defadd(a,b):returna+badd(3,5) ...
The wrapper function uses *args and **kwargs to pass on arguments to the decorated function. If you want your decorator to also take arguments, then you need to nest the wrapper function inside another function. In this case, you usually end up with three return statements. You can ...
https://python-3-patterns-idioms-test.readthedocs.io/en/latest/PythonDecorators.html#decorators-with-arguments https://www.geeksforgeeks.org/decorators-with-parameters-in-python/ https://stackoverflow.com/questions/5929107/decorators-with-parameters """ # PythonDecorators/decorator_with_arguments.py cl...
Here, when we call thedivide()function with the arguments(2,5), theinner()function defined in thesmart_divide()decorator is called instead. Thisinner()function calls the originaldivide()function with the arguments2and5and returns the result, which is0.4. ...
(一)Decorator应用之一:Trace 函数 这个是最普通的一个应用,使用Trace函数或一个Trace类可以知道一个函数的状态和参数,这个功能可以很方便的帮助你调试代码,了解当前的运 行情况,这里将用到下面几个知识点Function as Decorator、Object as Decorator、Decorator with arguments(参数) ...
def decorator_with_arguments(function): def wrapper_accepting_arguments(arg1, arg2): print("My arguments are: {0}, {1}".format(arg1,arg2)) function(arg1, arg2) return wrapper_accepting_arguments @decorator_with_arguments def cities(city_one, city_two): print("Cities I love are {0} an...
7.6. Decorators with Arguments Come to think of it, isn’t @wraps also a decorator? But, it takes an argument like any normal function can do. So, why can’t we do that too? This is because when you use the @my_decorator syntax, you are applying a wrapper function with a single ...
func()print("after the function")returnwrapperdefsay_hello():print("hello!")# say_hello() #装饰前say_hello = decorator(say_hello)# 装饰后的# say_hello()@decorator# 文法糖的装饰功能与say_hello = decorator(say_hello)功能一致defsay_hi():print("hi")# say_hi()importfunctoolsdefdo_twice...
__name__)) # 添加功能的地方 return original_funciton(*args, **kwargs) return inner_function # 创造decorator @outer_function def display(): print("display function ran") @outer_function def display_info(name, age): print("display_info func ran with arguments: {},{}".format(name, age...