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Creating a @debuggable decorator in Python can be a useful tool for debugging and understanding the behavior of functions in your code. A decorator in Python is a design pattern that allows you to extend or modify the behavior of functions or methods without modifying their actual code. In this tutorial, we'll walk through the process of creating a @debuggable decorator that prints information about the function's arguments and return value.
Let's start by defining the @debuggable decorator:
Now, let's use the @debuggable decorator on a sample function:
When you call the add_numbers function, the @debuggable decorator will print information about the function's arguments and return value:
The output will be:
Here's a breakdown of the @debuggable decorator:
When you apply the @debuggable decorator to a function, it effectively replaces the original function with the wrapper function. This allows you to add debugging behavior without modifying the original function's code.
Feel free to customize the @debuggable decorator to suit your specific debugging needs. You can add more information, such as timestamps or additional context, to enhance the debugging output.
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