# PythonDecorators/decorator_function_with_arguments.pydef decorator_function_with_arguments(arg1, arg2, arg3): def wrap(f): print("Inside wrap()") def wrapped_f(*args): print("Inside wrapped_f()") print("Decorator arguments:", arg1, arg2, arg3) f(*args) print("After f(*args)"...
The following @debug decorator will print a function’s arguments and its return value every time you call the function:Python decorators.py 1import functools 2 3# ... 4 5def debug(func): 6 """Print the function signature and return value""" 7 @functools.wraps(func) 8 def wrapper_...
importtimeimportfunctoolsdeftimeit(func):@functools.wraps(func)# 此句就是用来保留被装饰的函数的属性的 ,其余跟普通装饰器一样defwrapper():start=time.clock()func()end=time.clock()print('used:',end-start)returnwrapper@timeitdeffoo():print('in foo()')print(foo.__name__)# foo# 若没有@func...
")# 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(func):@functools.wraps(func)# 使用 @ functools.wraps裝飾器,它將保留有關...
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 ...
由于log()是一个decorator,返回一个函数,所以,原来的now()函数仍然存在,只是现在同名的now变量指向了新的函数,于是调用now()将执行新函数,即在log()函数中返回的wrapper()函数。 ++++++++++++++++++++ 带参数的装饰器-3层 def log(text): def decorator...
my_decorator(装饰器函数)是decorator_maker(装饰器生成函数)的内部函数 所以可以使用把参数加在decorator_maker(装饰器生成函数)的方法像装饰器传递参数 # 我是一个创建带参数装饰器的函数defdecorator_maker_with_arguments(darg1, darg2):print"I make decorators! And I accept arguments:", darg1, darg2def...
def with_arguments(myarg1, myarg2): @wrapt.decorator def wrapper(wrapped, instance, args, kwargs): return wrapped(*args, **kwargs) return wrapper @with_arguments(1, 2) def function(): pass 使用wrapt的装饰器嵌套 import wrapt @wrapt.decorator ...
def debug_decorator(func): @functools.wraps(func) def wrapper(*args, **kwargs): print(f"Calling function {func.__name__} with arguments: {args}, {kwargs}") result = func(*args, **kwargs) print(f"Function {func.__name__} returned: {result}") ...
Wedefinedthis function (calledwrapper)in our decorator: defwrapper(*args,**kwargs):print("Calling with",args,kwargs)return_value=func(*args,**kwargs)print("Returning",return_value)returnreturn_valuereturnwrapper Whenwrapperwas called, it acceptedany argumentswe gave to it. ...