Singleton Pattern with Metaclasses
The singleton pattern is a design approach that restricts a class to have only one instance throughout the program's lifetime. This is especially useful when you need a single shared resource, such as a configuration manager, database connection, or logging service. By ensuring that only one instance exists, you can avoid inconsistent state, reduce resource usage, and provide a single point of access to shared data.
12345678910111213class SingletonMeta(type): _instances = {} def __call__(cls, *args, **kwargs): if cls not in cls._instances: instance = super().__call__(*args, **kwargs) cls._instances[cls] = instance return cls._instances[cls] class Configuration(metaclass=SingletonMeta): def __init__(self, value): self.value = value
123456config_a = Configuration("A") config_b = Configuration("B") print(config_a is config_b) # True print(config_a.value) # A print(config_b.value) # A
While the singleton pattern can solve problems involving global state or shared resources, it comes with trade-offs.
Pros:
- Guarantees that only one instance exists;
- Provides a global point of access;
- Can help manage shared resources efficiently.
Cons:
- Makes unit testing harder due to global state;
- Can hide dependencies and increase coupling;
- May introduce unexpected behavior if mutable state is shared.
You should use singletons sparingly, and only when a single instance is truly necessary.
1. What does the singleton pattern guarantee?
2. How does a metaclass enforce singleton behavior?
3. Fill in the blank: The call method in a metaclass controls ____ creation.
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Singleton Pattern with Metaclasses
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The singleton pattern is a design approach that restricts a class to have only one instance throughout the program's lifetime. This is especially useful when you need a single shared resource, such as a configuration manager, database connection, or logging service. By ensuring that only one instance exists, you can avoid inconsistent state, reduce resource usage, and provide a single point of access to shared data.
12345678910111213class SingletonMeta(type): _instances = {} def __call__(cls, *args, **kwargs): if cls not in cls._instances: instance = super().__call__(*args, **kwargs) cls._instances[cls] = instance return cls._instances[cls] class Configuration(metaclass=SingletonMeta): def __init__(self, value): self.value = value
123456config_a = Configuration("A") config_b = Configuration("B") print(config_a is config_b) # True print(config_a.value) # A print(config_b.value) # A
While the singleton pattern can solve problems involving global state or shared resources, it comes with trade-offs.
Pros:
- Guarantees that only one instance exists;
- Provides a global point of access;
- Can help manage shared resources efficiently.
Cons:
- Makes unit testing harder due to global state;
- Can hide dependencies and increase coupling;
- May introduce unexpected behavior if mutable state is shared.
You should use singletons sparingly, and only when a single instance is truly necessary.
1. What does the singleton pattern guarantee?
2. How does a metaclass enforce singleton behavior?
3. Fill in the blank: The call method in a metaclass controls ____ creation.
Merci pour vos commentaires !