Python’s decorators are a powerful tool that allow you to modify the behavior of functions without changing their core logic. However, sometimes you may need to add state or configuration to your decorators, which can introduce additional complexity.
In this article, we’ll explore how to create decorators with state, giving you the ability to enhance your functions with dynamic and customizable functionality.
Understanding Decorators with State
Decorators are essentially higher-order functions that wrap other functions, allowing you to add new functionality or modify the behavior of the original function.
Decorators with state take this concept a step further by allowing you to pass in additional arguments or configurations to the decorator itself. This can be particularly useful when you need to customize the behavior of your decorator based on specific requirements or settings.
For example, you might want to create a caching decorator that allows you to specify the maximum cache…
