搜索
首页后端开发Python教程Python装饰器使用示例及实际应用例子

测试1

deco运行,但myfunc并没有运行

复制代码 代码如下:

def deco(func):
    print 'before func'
    return func

def myfunc():
    print 'myfunc() called'
 
myfunc = deco(myfunc)

测试2

需要的deco中调用myfunc,这样才可以执行

复制代码 代码如下:

def deco(func):
    print 'before func'
    func()
    print 'after func'
    return func

def myfunc():
    print 'myfunc() called'
 
myfunc = deco(myfunc)

测试3

@函数名 但是它执行了两次

复制代码 代码如下:

def deco(func):
    print 'before func'
    func()
    print 'after func'
    return func

@deco
def myfunc():
    print 'myfunc() called'

myfunc()

测试4

这样装饰才行

复制代码 代码如下:

def deco(func):
    def _deco():
        print 'before func'
        func()
        print 'after func'
    return _deco

@deco
def myfunc():
    print 'myfunc() called'
 
myfunc()

测试5

@带参数,使用嵌套的方法

复制代码 代码如下:

def deco(arg):
    def _deco(func):
        print arg
        def __deco():
            print 'before func'
            func()
            print 'after func'
        return __deco
    return _deco

@deco('deco')
def myfunc():
    print 'myfunc() called'
 
myfunc()

测试6

函数参数传递

复制代码 代码如下:

def deco(arg):
    def _deco(func):
        print arg
        def __deco(str):
            print 'before func'
            func(str)
            print 'after func'
        return __deco
    return _deco

@deco('deco')
def myfunc(str):
    print 'myfunc() called ', str
 
myfunc('hello')

测试7

未知参数个数

复制代码 代码如下:

def deco(arg):
    def _deco(func):
        print arg
        def __deco(*args, **kwargs):
            print 'before func'
            func(*args, **kwargs)
            print 'after func'
        return __deco
    return _deco

@deco('deco1')
def myfunc1(str):
    print 'myfunc1() called ', str

@deco('deco2')
def myfunc2(str1,str2):
    print 'myfunc2() called ', str1, str2
 
myfunc1('hello')
 
myfunc2('hello', 'world')

测试8

class作为修饰器

复制代码 代码如下:

class myDecorator(object):
 
    def __init__(self, fn):
        print "inside myDecorator.__init__()"
        self.fn = fn
 
    def __call__(self):
        self.fn()
        print "inside myDecorator.__call__()"
 
@myDecorator
def aFunction():
    print "inside aFunction()"
 
print "Finished decorating aFunction()"
 
aFunction()

测试9

复制代码 代码如下:

class myDecorator(object):
 
    def __init__(self, str):
        print "inside myDecorator.__init__()"
        self.str = str
        print self.str
 
    def __call__(self, fn):
        def wrapped(*args, **kwargs):
            fn()
            print "inside myDecorator.__call__()"
        return wrapped
 
@myDecorator('this is str')
def aFunction():
    print "inside aFunction()"
 
print "Finished decorating aFunction()"
 
aFunction()

实例

给函数做缓存 --- 斐波拉契数列

复制代码 代码如下:

from functools import wraps
def memo(fn):
    cache = {}
    miss = object()
    
    @wraps(fn)
    def wrapper(*args):
        result = cache.get(args, miss)
        if result is miss:
            result = fn(*args)
            cache[args] = result
        return result
 
    return wrapper
 
@memo
def fib(n):
    if n         return n
    return fib(n - 1) + fib(n - 2)

print fib(10)

注册回调函数 --- web请求回调

复制代码 代码如下:

class MyApp():
    def __init__(self):
        self.func_map = {}
 
    def register(self, name):
        def func_wrapper(func):
            self.func_map[name] = func
            return func
        return func_wrapper
 
    def call_method(self, name=None):
        func = self.func_map.get(name, None)
        if func is None:
            raise Exception("No function registered against - " + str(name))
        return func()
 
app = MyApp()
 
@app.register('/')
def main_page_func():
    return "This is the main page."
 
@app.register('/next_page')
def next_page_func():
    return "This is the next page."
 
print app.call_method('/')
print app.call_method('/next_page')

mysql封装 -- 很好用

复制代码 代码如下:

import umysql
from functools import wraps
 
class Configuraion:
    def __init__(self, env):
        if env == "Prod":
            self.host    = "coolshell.cn"
            self.port    = 3306
            self.db      = "coolshell"
            self.user    = "coolshell"
            self.passwd  = "fuckgfw"
        elif env == "Test":
            self.host   = 'localhost'
            self.port   = 3300
            self.user   = 'coolshell'
            self.db     = 'coolshell'
            self.passwd = 'fuckgfw'
 
def mysql(sql):
 
    _conf = Configuraion(env="Prod")
 
    def on_sql_error(err):
        print err
        sys.exit(-1)
 
    def handle_sql_result(rs):
        if rs.rows > 0:
            fieldnames = [f[0] for f in rs.fields]
            return [dict(zip(fieldnames, r)) for r in rs.rows]
        else:
            return []
 
    def decorator(fn):
        @wraps(fn)
        def wrapper(*args, **kwargs):
            mysqlconn = umysql.Connection()
            mysqlconn.settimeout(5)
            mysqlconn.connect(_conf.host, _conf.port, _conf.user, \
                              _conf.passwd, _conf.db, True, 'utf8')
            try:
                rs = mysqlconn.query(sql, {})     
            except umysql.Error as e:
                on_sql_error(e)
 
            data = handle_sql_result(rs)
            kwargs["data"] = data
            result = fn(*args, **kwargs)
            mysqlconn.close()
            return result
        return wrapper
 
    return decorator
 
 
@mysql(sql = "select * from coolshell" )
def get_coolshell(data):
    ... ...
    ... ..

线程异步

复制代码 代码如下:

from threading import Thread
from functools import wraps
 
def async(func):
    @wraps(func)
    def async_func(*args, **kwargs):
        func_hl = Thread(target = func, args = args, kwargs = kwargs)
        func_hl.start()
        return func_hl
 
    return async_func
 
if __name__ == '__main__':
    from time import sleep
 
    @async
    def print_somedata():
        print 'starting print_somedata'
        sleep(2)
        print 'print_somedata: 2 sec passed'
        sleep(2)
        print 'print_somedata: 2 sec passed'
        sleep(2)
        print 'finished print_somedata'
 
    def main():
        print_somedata()
        print 'back in main'
        print_somedata()
        print 'back in main'
 
    main()
声明
本文内容由网友自发贡献,版权归原作者所有,本站不承担相应法律责任。如您发现有涉嫌抄袭侵权的内容,请联系admin@php.cn
Python:深入研究汇编和解释Python:深入研究汇编和解释May 12, 2025 am 12:14 AM

pythonisehybridmodelofcompilationand interpretation:1)thepythoninterspretercompilesourcececodeintoplatform- interpententbybytecode.2)thepytythonvirtualmachine(pvm)thenexecuteCutestestestesteSteSteSteSteSteSthisByTecode,BelancingEaseofuseWithPerformance。

Python是一种解释或编译语言,为什么重要?Python是一种解释或编译语言,为什么重要?May 12, 2025 am 12:09 AM

pythonisbothinterpretedAndCompiled.1)它的compiledTobyTecodeForportabilityAcrosplatforms.2)bytecodeisthenInterpreted,允许fordingfordforderynamictynamictymictymictymictyandrapiddefupment,尽管Ititmaybeslowerthananeflowerthanancompiledcompiledlanguages。

对于python中的循环时循环与循环:解释了关键差异对于python中的循环时循环与循环:解释了关键差异May 12, 2025 am 12:08 AM

在您的知识之际,而foroopsareideal insinAdvance中,而WhileLoopSareBetterForsituations则youneedtoloopuntilaconditionismet

循环时:实用指南循环时:实用指南May 12, 2025 am 12:07 AM

ForboopSareSusedwhenthentheneMberofiterationsiskNownInAdvance,而WhileLoopSareSareDestrationsDepportonAcondition.1)ForloopSareIdealForiteratingOverSequencesLikelistSorarrays.2)whileLeleLooleSuitableApeableableableableableableforscenarioscenarioswhereTheLeTheLeTheLeTeLoopContinusunuesuntilaspecificiccificcificCondond

Python:它是真正的解释吗?揭穿神话Python:它是真正的解释吗?揭穿神话May 12, 2025 am 12:05 AM

pythonisnotpuroly interpred; itosisehybridablectofbytecodecompilationandruntimeinterpretation.1)PythonCompiLessourceceCeceDintobyTecode,whitsthenexecececected bytybytybythepythepythepythonvirtirtualmachine(pvm).2)

与同一元素的Python串联列表与同一元素的Python串联列表May 11, 2025 am 12:08 AM

concateNateListsinpythonwithTheSamelements,使用:1)operatototakeepduplicates,2)asettoremavelemavphicates,or3)listCompreanspearensionforcontroloverduplicates,每个methodhasdhasdifferentperferentperferentperforentperforentperforentperfortenceandordormplications。

解释与编译语言:Python的位置解释与编译语言:Python的位置May 11, 2025 am 12:07 AM

pythonisanterpretedlanguage,offeringosofuseandflexibilitybutfacingperformancelanceLimitationsInCricapplications.1)drightingedlanguageslikeLikeLikeLikeLikeLikeLikeLikeThonexecuteline-by-line,允许ImmediaMediaMediaMediaMediaMediateFeedBackAndBackAndRapidPrototypiD.2)compiledLanguagesLanguagesLagagesLikagesLikec/c thresst

循环时:您什么时候在Python中使用?循环时:您什么时候在Python中使用?May 11, 2025 am 12:05 AM

Useforloopswhenthenumberofiterationsisknowninadvance,andwhileloopswheniterationsdependonacondition.1)Forloopsareidealforsequenceslikelistsorranges.2)Whileloopssuitscenarioswheretheloopcontinuesuntilaspecificconditionismet,usefulforuserinputsoralgorit

See all articles

热AI工具

Undresser.AI Undress

Undresser.AI Undress

人工智能驱动的应用程序,用于创建逼真的裸体照片

AI Clothes Remover

AI Clothes Remover

用于从照片中去除衣服的在线人工智能工具。

Undress AI Tool

Undress AI Tool

免费脱衣服图片

Clothoff.io

Clothoff.io

AI脱衣机

Video Face Swap

Video Face Swap

使用我们完全免费的人工智能换脸工具轻松在任何视频中换脸!

热门文章

热工具

SublimeText3 Linux新版

SublimeText3 Linux新版

SublimeText3 Linux最新版

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

功能强大的PHP集成开发环境

EditPlus 中文破解版

EditPlus 中文破解版

体积小,语法高亮,不支持代码提示功能

适用于 Eclipse 的 SAP NetWeaver 服务器适配器

适用于 Eclipse 的 SAP NetWeaver 服务器适配器

将Eclipse与SAP NetWeaver应用服务器集成。

螳螂BT

螳螂BT

Mantis是一个易于部署的基于Web的缺陷跟踪工具,用于帮助产品缺陷跟踪。它需要PHP、MySQL和一个Web服务器。请查看我们的演示和托管服务。