search
HomeBackend DevelopmentPython TutorialPython learning agent mode

Python learning agent mode

Apr 28, 2019 am 11:22 AM
pythonproxy mode

This article mainly introduces the implementation of proxy mode in Python. It uses an interesting example to write a demonstration code, which has certain reference value. Interested friends can learn about it. I hope it will be helpful to you.

Definition of proxy mode: Provide a proxy for other objects to control access to this object. In some cases, one object is not suitable or cannot directly reference another object, and a proxy object can act as an intermediary between the client and the target object.

Application scenarios of proxy mode:

1. Remote proxy, that is, providing local representation for an object in different address spaces. This hides the fact that an object exists in a different address space.

2. Virtual agents are expensive objects to create as needed. It is used to store real objects that take a long time to instantiate. For example, in HTML, pictures take a long time to load, so virtual agents are used to replace real pictures.

3. Security agent is used to control access to real objects. Permissions

4. Intelligent guidance means that when the real object is called, the agent handles other things

For example: Male A likes Female A, but he does not dare to confess to her. Therefore, male B is entrusted as an agent to send gifts to female A on his behalf. The key point in realizing this requirement is that male A and female A do not have direct contact with each other. They all achieve indirect contact through the agent male B.

#encoding=utf-8
__author__ = 'kevinlu1010@qq.com'
from abc import ABCMeta, abstractmethod

class FemaleA():
    def __init__(self, name):
        self.name = name

class Male():
    __metaclass__ = ABCMeta

    @abstractmethod
    def send_flower(self):
        pass

    @abstractmethod
    def send_chocolate(self):
        pass

    @abstractmethod
    def send_book(self):
        pass

class MaleA(Male):
    def __init__(self, name, love_female):
        self.name = name
        self.love_female = FemaleA(love_female)

    def send_flower(self):
        print '%s送花给%s' % (self.name, self.love_female.name)

    def send_chocolate(self):
        print '%s送巧克力给%s' % (self.name, self.love_female.name)

    def send_book(self):
        print '%s送书给%s' % (self.name, self.love_female.name)


class Proxy(Male):
    def __init__(self, name, proxyed_name, love_female):
        self.name = name
        self.proxyed = MaleA(proxyed_name, love_female)

    def send_flower(self):
        self.proxyed.send_flower()

    def send_chocolate(self):
        self.proxyed.send_chocolate()

    def send_book(self):
        self.proxyed.send_book()

if __name__ == '__main__':
    p = Proxy('男B', '男A', '女A')
    p.send_book()
    p.send_chocolate()
    p.send_flower()

Related tutorials: Python video tutorial

The above is the detailed content of Python learning agent mode. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:博客园. If there is any infringement, please contact admin@php.cn delete
Python vs. C  : Understanding the Key DifferencesPython vs. C : Understanding the Key DifferencesApr 21, 2025 am 12:18 AM

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Python vs. C  : Which Language to Choose for Your Project?Python vs. C : Which Language to Choose for Your Project?Apr 21, 2025 am 12:17 AM

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

Reaching Your Python Goals: The Power of 2 Hours DailyReaching Your Python Goals: The Power of 2 Hours DailyApr 20, 2025 am 12:21 AM

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Maximizing 2 Hours: Effective Python Learning StrategiesMaximizing 2 Hours: Effective Python Learning StrategiesApr 20, 2025 am 12:20 AM

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Choosing Between Python and C  : The Right Language for YouChoosing Between Python and C : The Right Language for YouApr 20, 2025 am 12:20 AM

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python vs. C  : A Comparative Analysis of Programming LanguagesPython vs. C : A Comparative Analysis of Programming LanguagesApr 20, 2025 am 12:14 AM

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

2 Hours a Day: The Potential of Python Learning2 Hours a Day: The Potential of Python LearningApr 20, 2025 am 12:14 AM

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python vs. C  : Learning Curves and Ease of UsePython vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools