Do overridden methods inherit decorators in python?
Think about it this way class A(object): def fun(self, arg): return None fun = memoized(fun)
Think about it this way class A(object): def fun(self, arg): return None fun = memoized(fun)
Assuming you don’t want to modify the code (e.g., because you want to be able to just port to 3.3 and use the stdlib functools.lru_cache, or use functools32 out of PyPI instead of copying and pasting a recipe into your code), there’s one obvious solution: Create a new decorated instance method with each instance. class … Read more
This is not how staticmethod is supposed to be used. staticmethod objects are descriptors that return the wrapped object, so they only work when accessed as classname.staticmethodname. Example class A(object): @staticmethod def f(): pass print A.f print A.__dict__[“f”] prints <function f at 0x8af45dc> <staticmethod object at 0x8aa6a94> Inside the scope of A, you would always … Read more
The decorator login_required is passed the function (hello in this case). So what you want to do is: def login_required(f): # This function is what we “replace” hello with def wrapper(*args, **kw): args[0].client_session[‘test’] = True logged_in = 0 if logged_in: return f(*args, **kw) # Call hello else: return redirect(url_for(‘login’)) return wrapper
I found an example, you can use @trace or @trace(‘msg1′,’msg2’): nice! def trace(*args): def _trace(func): def wrapper(*args, **kwargs): print enter_string func(*args, **kwargs) print exit_string return wrapper if len(args) == 1 and callable(args[0]): # No arguments, this is the decorator # Set default values for the arguments enter_string = ‘entering’ exit_string = ‘exiting’ return _trace(args[0]) else: … Read more
The biggest reason to keep the try/except/finally blocks in the code itself is that error recovery is usually an integral part of the function. For example, if we had our own int() function: def MyInt(text): return int(text) What should we do if text cannot be converted? Return 0? Return None? If you have many simple … Read more
You can’t pass it as its own name, but you can add it to the keywords. def decorate(function): def wrap_function(*args, **kwargs): kwargs[‘str’] = ‘Hello!’ return function(*args, **kwargs) return wrap_function @decorate def print_message(*args, **kwargs): print(kwargs[‘str’]) Alternatively you can name its own argument: def decorate(function): def wrap_function(*args, **kwargs): str=”Hello!” return function(str, *args, **kwargs) return wrap_function @decorate def … Read more
is_staff isn’t a permission so instead of permission_required you could use: @user_passes_test(lambda u: u.is_staff) or from django.contrib.admin.views.decorators import staff_member_required @staff_member_required
Decorators are just syntactic sugar to replace a function object with a decorated version, where decorating is just calling (passing in the original function object). In other words, the syntax: @decorator_expression def function_name(): # function body roughly(*) translates to: def function_name(): # function body function_name = decorator_expression(function_name) In your case, you can apply your decorator … Read more
Update for TypeScript 3.5: The Omit<Type, Keys> utility type is now available. Please see Mathias’ answer for an example usage. Old Answer: Since TypeScript 2.8 and the introduction of Exclude, It’s now possible to write this as follows: type Without<T, K> = { [L in Exclude<keyof T, K>]: T[L] }; Or alternatively, and more concisely, … Read more