decorator

问题 I would like to extend a library's decorator. I know that I can just call both decorators: @my_decorator @lib_decorator def func(): pass But I would like to avoid having to pass @lib_decorator to each function each time. I would like my decorator to automatically decorate func() with lib_decorator . How can I do this? Can they be nested? 回答1: You can incorporate the lib's decorator within yours. For simple, argument-less decorators, it's rather straight-forward: def my_decorator(): @lib

问题 I would like to extend a library's decorator. I know that I can just call both decorators: @my_decorator @lib_decorator def func(): pass But I would like to avoid having to pass @lib_decorator to each function each time. I would like my decorator to automatically decorate func() with lib_decorator . How can I do this? Can they be nested? 回答1: You can incorporate the lib's decorator within yours. For simple, argument-less decorators, it's rather straight-forward: def my_decorator(): @lib

问题 I would like to extend a library's decorator. I know that I can just call both decorators: @my_decorator @lib_decorator def func(): pass But I would like to avoid having to pass @lib_decorator to each function each time. I would like my decorator to automatically decorate func() with lib_decorator . How can I do this? Can they be nested? 回答1: You can incorporate the lib's decorator within yours. For simple, argument-less decorators, it's rather straight-forward: def my_decorator(): @lib

问题 For testing reasons, I need to be able to mock the inner/original function of a decorated one which is used somewhere else: In mydecorator.py: def my_decorator(f): def wrapped_f(): print "decorated" f() return wrapped_f @my_decorator def function_to_be_mocked(): print 'original' def function_to_be_mocked_undecorated(): print 'original' def run_decorated(): function_to_be_mocked() def run_undecorated(): decorated_funtion = my_decorator(function_to_be_mocked_undecorated) decorated_funtion() As

问题 For testing reasons, I need to be able to mock the inner/original function of a decorated one which is used somewhere else: In mydecorator.py: def my_decorator(f): def wrapped_f(): print "decorated" f() return wrapped_f @my_decorator def function_to_be_mocked(): print 'original' def function_to_be_mocked_undecorated(): print 'original' def run_decorated(): function_to_be_mocked() def run_undecorated(): decorated_funtion = my_decorator(function_to_be_mocked_undecorated) decorated_funtion() As

问题 For testing reasons, I need to be able to mock the inner/original function of a decorated one which is used somewhere else: In mydecorator.py: def my_decorator(f): def wrapped_f(): print "decorated" f() return wrapped_f @my_decorator def function_to_be_mocked(): print 'original' def function_to_be_mocked_undecorated(): print 'original' def run_decorated(): function_to_be_mocked() def run_undecorated(): decorated_funtion = my_decorator(function_to_be_mocked_undecorated) decorated_funtion() As

问题 I'm trying to decorate async function#1 with some async function#2. E.g. function func2(param) { return (target: any, propertyKey: string, descriptor: PropertyDescriptor) => { //make async operations and then return descriptor } @func2(param) async function func1() { await .... //some async operation await .... //some async operation } So, the main idea is to perform some async operation in decorator, and then perform other async calls in the main function. Is it possible to make this withing

问题 I would like to apply a decorator function to all methods within a class so I can replace: class User { @log delete() {} @log create() {} @log update() {} } with @log class User { delete() {} create() {} update() {} } 回答1: Create a class decorator and enumerate the properties on the target's prototype. For each property: Get the property descriptor. Ensure it's for a method. Wrap the descriptor value in a new function that logs the information about the method call. Redefine the modified

问题 I am writing a class where I need to check whether the instance variables are of a certain type. I noticed that there is a lot of repeating code. Is there a better way to do similar checks on the instance variables? Or is this the right way to do it? class Variable(): __type = 'Variable' def __init__(self, id = None, updateable = True, name = 'Variable', value=None): if id is not None: self.id = id if value is not None: self.value = value self.updateable = updateable self.name = name

问题 I am writing a class where I need to check whether the instance variables are of a certain type. I noticed that there is a lot of repeating code. Is there a better way to do similar checks on the instance variables? Or is this the right way to do it? class Variable(): __type = 'Variable' def __init__(self, id = None, updateable = True, name = 'Variable', value=None): if id is not None: self.id = id if value is not None: self.value = value self.updateable = updateable self.name = name