Python使用设计模式中的责任链模式与迭代器模式的示例
责任链模式
责任链模式:将能处理请求的对象连成一条链,并沿着这条链传递该请求,直到有一个对象处理请求为止,避免请求的发送者和接收者之间的耦合关系。
#encoding=utf-8 # #by panda #职责连模式 def printInfo(info): print unicode(info, 'utf-8').encode('gbk') #抽象职责类 class Manager(): successor = None name = '' def __init__(self, name): self.name = name def SetSuccessor(self, successor): self.successor = successor def HandleRequest(self, request): pass #具体职责类:经理 class CommonManager(Manager): def HandleRequest(self, request): if request.RequestType == '请假' and request.Number <= 2: printInfo('%s:%s 数量%d 被批准' % (self.name, request.RequestContent, request.Number)) else: if self.successor != None: self.successor.HandleRequest(request) #具体职责类:总监 class Majordomo(Manager): def HandleRequest(self, request): if request.RequestType == '请假' and request.Number <= 5: printInfo('%s:%s 数量%d 被批准' % (self.name, request.RequestContent, request.Number)) else: if self.successor != None: self.successor.HandleRequest(request) #具体职责类:总经理 class GeneralManager(Manager): def HandleRequest(self, request): if request.RequestType == '请假': printInfo('%s:%s 数量%d 被批准' % (self.name, request.RequestContent, request.Number)) elif request.RequestType == '加薪' and request.Number <= 500: printInfo('%s:%s 数量%d 被批准' % (self.name, request.RequestContent, request.Number)) elif request.RequestType == '加薪' and request.Number > 500: printInfo('%s:%s 数量%d 再说吧' % (self.name, request.RequestContent, request.Number)) class Request(): RequestType = '' RequestContent = '' Number = 0 def clientUI(): jinLi = CommonManager('金力') zongJian = Majordomo('宗健') zhongJingLi = GeneralManager('钟金利') jinLi.SetSuccessor(zongJian) zongJian.SetSuccessor(zhongJingLi) request = Request() request.RequestType = '请假' request.RequestContent = '小菜请假' request.Number = 1 jinLi.HandleRequest(request) request.RequestType = '请假' request.RequestContent = '小菜请假' request.Number = 5 jinLi.HandleRequest(request) request.RequestType = '加薪' request.RequestContent = '小菜要求加薪' request.Number = 500 jinLi.HandleRequest(request) request.RequestType = '加薪' request.RequestContent = '小菜要求加薪' request.Number = 1000 jinLi.HandleRequest(request) return if __name__ == '__main__': clientUI();
类图:
迭代器模式
迭代器模式:提供一种方法顺序访问一个聚合对象中的各个元素,而又不暴露该对象的内部表示。
python内置支持这种模式,所以一般来说,不用自己写,
#encoding=utf-8 # #by panda #迭代器(Iterator)模式 def printInfo(info): print unicode(info, 'utf-8').encode('gbk') #迭代器抽象类 class Iterator: def First(self): pass def Next(self): pass def IsDone(self): pass def CurrentItem(self): pass #集合抽象类 class Aggregate: def CreateIterator(self): pass #具体迭代器类: class ConcreteIterator(Iterator): aggregate = None current = 0 def __init__(self, aggregate): self.aggregate = aggregate self.current = 0 def First(self): return self.aggregate[0] def Next(self): ret = None self.current += 1 if(self.current < len(self.aggregate)): ret = self.aggregate[self.current] return ret def IsDone(self): if(self.current < len(self.aggregate)): return False else: return True def CurrentItem(self): ret = None if(self.current < len(self.aggregate)): ret = self.aggregate[self.current] return ret #具体集合类 class ConcreteAggregate(Aggregate): items = None def __init__(self): self.items = [] def clientUI(): a = ConcreteAggregate() a.items.append('大鸟') a.items.append('小菜') a.items.append('行李') a.items.append('老外') a.items.append('公交内部员工') a.items.append('小偷') printInfo('---------迭代器模式-------------') i = ConcreteIterator(a.items) item = i.First() while(False == i.IsDone()): printInfo("%s 请买车票!" % i.CurrentItem()); i.Next() printInfo('\n---------python内部迭代-------------') for item in a.items: printInfo("%s 请买车票!" % item); return if __name__ == '__main__': clientUI();
类图:

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.
