downard wraps

the decorator. Simple decorator Def use_logging (func): def wrapper (): logging. warn ("% s is running" % func. _ name _) return func () # When passing foo as a parameter, executing func () is equivalent to executing foo () return wrapperdef foo (): print ('I am Foo') foo = use_logging (foo) # The function object wrapper returned by the decorator use_logging (foo). This statement is equivalent to foo = wrapperfoo () # executing foo () is equivalent to executing wrapper () Use_logging is a decor

before executing a_func ()# I AM the another function which needs some decoration to remove my foul smell# I am doing some boring work after executing a_func ()Here @a_new_decorator is equivalent to A_new_decorator (b_function_requiring_decoration)6) Get NameFor the a_function_requiring_decoration in 4, we printed print (a_function_requiring_decoration.__name__) to get the result wrapthefunction , and what we actually want to get is the name of the A_function_requiring_decoration function that

One: Internal insert1:append: Appends content to each matching element.$("p").append("2:appendto (content): Appends all matching elements to another specified set of element elements.$("p").appendTo("div");3:prepend (content): The contents of the predecessor to each matched element.$("p").prepend("4:prependto (content): puts all matching elements in front of another, specified set of element elements.$("p").prependTo("#foo");Two: External insertion1:after (content): Inserts the contents after ea

functions with hope, for example, to decorate B with aJust on the line that defines the B function, write the @A def A(): pass @A def B(): pass Summary: Understanding is the decorator is actually a function of a parameter, and the parameter is a function of another functionThe purpose of using adorners is generally to change some properties/behaviors of a function at run time, you can add an adorner to the function, let the decorator go before and after the funct

function:Import functoolsdef Log (func): @functools. Wraps (func) def wrapper (*args, **kw): print "Call%s:"%func.__ name__ return func (*args, **kw) return wrapperThe wraps function can be implemented using the module FUNCTOOLS.The above describes the decorator pattern, the following gives a more complete example.#!/usr/bin/env pythonimport sys#decoratorimport functoolsdef log (func

Python Functools.wraps Instance Interpretation1. Instances where wraps are not used#!/usr/bin/env python#Coding:utf-8deflogged (func):defWith_logging (*args, * *Kwargs):" "I am wraps ' s doc" " PrintFunc.__name__+"was called" returnFunc (*args, * *Kwargs)returnwith_logging@loggeddeff (x):"""I am original Doc""" returnx + x *xPrintF.__NAME__ # expects the original name F, and the result is r

settings, and the AllowUpdate attribute can control NoFieldUpdate and NoNewFields. If necessary, you can also use public fields to modify the original parameters more precisely. [Vb] % REM Class DialogBox Description: Wraps the ws. dialogbox () method. % end rem Public Class DialogBox Public FormName As String Public HorizonalFit As Boolean Public VerticalFit As Boolean Public NoCancel As Boolean Public NoNewFields As Boolean Public NoFieldUpdate As

) inserts content after each matching element.Description:Insert HTML code after all paragraphs.HTML code:Jquery code:$ ("P"). After ("Result: (2) Before () insert content before each Matching ElementDescription:Insert HTML code before all paragraphs.HTML code:Jquery code:$ ("P"). Before ("Result:[(3) insertafter inserts all matching elements to the end of another specified Element Set.Description:Insert all paragraphs into one element. Same as $ ("# foo"). After ("p ")HTML code:Jquery code:$ (

# It is same as below Def F (): Pass F = A (B (C (F ))) Iii. Common decorator instances in Python Decorator is usually usedPerform permission authentication, logging, modifying input parameters, preprocessing of returned results, and even truncation of function execution before execution. Instance 1: From Functools Import Wraps Def Logged (func ): @ Wraps (func) Def With_log

to see my blog at the beginning of the blog linkSo in the APIView class, what do we focus on return csrf_exempt(view) ?def csrf_exempt (view_func): def Wrapped_view (*args, * *Kwargs) :return view_func (*args, * *Kwargs) = True return wraps (View_func, Assigned=available_attrs (View_func)) (Wrapped_view )wrapped_view.csrf_exempt = TrueThis means canceling the current function of anti-cross-site request forgery, even if the global m

document. You can solve this problem through functools. wraps. Wraps is decorated by a function, and supports copying function names, commenting documents, parameter lists, and other functions. This allows us to access the attributes of the function before decoration in the decorator. More standardized writing: from functools import wrapsdef decorator(func): @wraps