我不确定您所问的 "PythonAS 模式" 是指哪种模式
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我不确定您所问的 "PythonAS 模式" 是指哪种模式。如果您提供更多的上下文或信息,我将能更好地回答您的问题。以下是几个常见的 Python 模式:
- Abstract Factory 模式:提供一个接口来创建一系列相关或依赖于彼此的对象,而无需指定它们的具体类。
from abc import ABC, abstractmethod
class AbstractFactory(ABC):
@abstractmethod
def create_product(self) -> None:
pass
class ConcreteProductA(AbstractFactory):
def create_product(self):
print("Creating ConcreteProductA")
class ConcreteProductB(AbstractFactory):
def create_product(self):
print("Creating ConcreteProductB")
class Creator:
def __init__(self, factory: AbstractFactory):
self.factory = factory
def operation(self):
product = self.factory.create_product()
# 使用 ConcreteProductA
factory_a = ConcreteProductA()
creator_a = Creator(factory_a)
creator_a.operation() # Creating ConcreteProductA
# 使用 ConcreteProductB
factory_b = ConcreteProductB()
creator_b = Creator(factory_b)
creator_b.operation() # Creating ConcreteProductB
- Adapter 模式:将一个类的接口转换为另一个客户端所期望的接口,从而使原本不兼容的类能够一起工作。
class Adaptee:
def specific_request(self):
return "Adaptee-specific request."
class Target:
def request(self):
return "Target: The default target's behavior."
class Adapter(Target):
def __init__(self, adaptee: Adaptee):
self.adaptee = adaptee
def request(self):
return f"Adapter: (Translated) {self.adaptee.specific_request()[::-1]}"
# 客户端代码
adaptee = Adaptee()
target = Target()
adapter = Adapter(adaptee)
print("Adaptee interface is incompatible with the client.")
print(f"Adaptee: {adaptee.specific_request()}")
print(f"Target: {target.request()}")
print(f"Adapter: {adapter.request()}")
- Singleton 模式:确保一个类只有一个实例,并为其提供全局访问点。
class SingletonMeta(type):
_instances = {}
def __call__(cls, *args, **kwargs):
if cls not in cls._instances:
cls._instances[cls] = super().__call__(*args, **kwargs)
return cls._instances[cls]
class Singleton(metaclass=SingletonMeta):
pass
# 客户端代码
s1 = Singleton()
s2 = Singleton()
assert s1 is s2, "Singleton failed: objects are different"
希望这些示例能够为您提供一些帮助。
我不确定您所问的 "PythonAS 模式" 是指哪种模式。如果您提供更多的上下文或信息,我将能更好地回答您的问题。以下是几个常见的 Python 模式:
- Abstract Factory 模式:提供一个接口来创建一系列相关或依赖于彼此的对象,而无需指定它们的具体类。
from abc import ABC, abstractmethod
class AbstractFactory(ABC):
@abstractmethod
def create_product(self) -> None:
pass
class ConcreteProductA(AbstractFactory):
def create_product(self):
print("Creating ConcreteProductA")
class ConcreteProductB(AbstractFactory):
def create_product(self):
print("Creating ConcreteProductB")
class Creator:
def __init__(self, factory: AbstractFactory):
self.factory = factory
def operation(self):
product = self.factory.create_product()
# 使用 ConcreteProductA
factory_a = ConcreteProductA()
creator_a = Creator(factory_a)
creator_a.operation() # Creating ConcreteProductA
# 使用 ConcreteProductB
factory_b = ConcreteProductB()
creator_b = Creator(factory_b)
creator_b.operation() # Creating ConcreteProductB
- Adapter 模式:将一个类的接口转换为另一个客户端所期望的接口,从而使原本不兼容的类能够一起工作。
class Adaptee:
def specific_request(self):
return "Adaptee-specific request."
class Target:
def request(self):
return "Target: The default target's behavior."
class Adapter(Target):
def __init__(self, adaptee: Adaptee):
self.adaptee = adaptee
def request(self):
return f"Adapter: (Translated) {self.adaptee.specific_request()[::-1]}"
# 客户端代码
adaptee = Adaptee()
target = Target()
adapter = Adapter(adaptee)
print("Adaptee interface is incompatible with the client.")
print(f"Adaptee: {adaptee.specific_request()}")
print(f"Target: {target.request()}")
print(f"Adapter: {adapter.request()}")
- Singleton 模式:确保一个类只有一个实例,并为其提供全局访问点。
class SingletonMeta(type):
_instances = {}
def __call__(cls, *args, **kwargs):
if cls not in cls._instances:
cls._instances[cls] = super().__call__(*args, **kwargs)
return cls._instances[cls]
class Singleton(metaclass=SingletonMeta):
pass
# 客户端代码
s1 = Singleton()
s2 = Singleton()
assert s1 is s2, "Singleton failed: objects are different"
希望这些示例能够为您提供一些帮助。
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