24pattern

Python, the 24 design patterns are:

Singleton pattern: This pattern ensures that a class has only one instance, and provides a global point of access to it.
Abstract factory pattern: This pattern provides an interface for creating families of related or dependent objects without specifying their concrete classes.
Builder pattern: This pattern separates the construction of a complex object from its representation, allowing the same construction process to create different representations.
Factory method pattern: This pattern defines an interface for creating an object, but lets subclasses decide which class to instantiate.
Prototype pattern: This pattern creates new objects by copying existing objects that serve as prototypes.
Adapter pattern: This pattern allows classes with incompatible interfaces to work together by wrapping the original class with a new adapter class.
Bridge pattern: This pattern decouples an abstraction from its implementation, allowing the two to vary independently.
Composite pattern: This pattern composes objects into tree structures to represent part-whole hierarchies.
Decorator pattern: This pattern dynamically adds new behavior to an existing object without changing its class.
Facade pattern: This pattern provides a simplified interface to a complex subsystem.
Flyweight pattern: This pattern uses shared objects to reduce the number of objects created and to decrease memory usage.
Proxy pattern: This pattern provides a surrogate or placeholder for another object to control access to it.
Chain of responsibility pattern: This pattern decouples sender and receiver by giving multiple objects a chance to handle a request.
Command pattern: This pattern encapsulates a request as an object, allowing the request to be handled or queued, and supporting undoable operations.
Interpreter pattern: This pattern defines a grammar for a language and provides an interpreter to execute the language.
Iterator pattern: This pattern provides a way to access the elements of an aggregate object sequentially without exposing its underlying representation.
Mediator pattern: This pattern defines an object that encapsulates how a set of objects interact, and reduces the dependencies between them.
Memento pattern: This pattern captures and externalizes an object's internal state, allowing the object to be restored to this state later.
Observer pattern: This pattern defines a one-to-many dependency between objects, where one object changes state and all its dependents are notified and updated automatically.
State pattern: This pattern allows an object to alter its behavior when its internal state changes, and appears as if it had changed its class.
Strategy pattern: This pattern defines a family of algorithms, and makes them interchangeable within the same context.
Template method pattern: This pattern defines the skeleton of an algorithm, and lets subclasses provide the implementation for specific steps.
Visitor pattern: This pattern separates an algorithm from an object structure by moving the algorithm into a separate class.
Null object pattern: This pattern provides a default object that performs no actions, and eliminates the need to check for null values.

These 24 design patterns are categorized into three groups: Creational patterns, Structural patterns, and Behavioral patterns. Each pattern has a specific purpose and solves a specific problem in software design. By using these patterns, you can write more flexible, reusable, and maintainable code in Python.

单例模式（Singleton pattern）：像一个人站在一座桥上，不允许有其他人站在这座桥上。
抽象工厂模式（Abstract factory pattern）：像一个工厂，生产多种相关或相互依赖的产品，而不需要指定每种产品的具体类型。
建造者模式（Builder pattern）：像一个建筑工人，先搭好框架，然后填充各种材料，最后完成建筑。
工厂方法模式（Factory method pattern）：像一个商店，提供一种创建产品的方法，让客户自己决定要买什么。
原型模式（Prototype pattern）：像一个复制机，通过复制现有对象来创建新对象。
适配器模式（Adapter pattern）：像一个插头，能够将不同的插头接口转换为统一的接口，让不兼容的设备工作在一起。
桥接模式（Bridge pattern）：像一座桥，将抽象与实现隔离开来，从而使它们可以独立变化。
组合模式（Composite pattern）：像一棵树，将对象组合成树形结构，以表示部分-整体的层次结构。
装饰器模式（Decorator pattern

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