Implement cache decorator

[GabrielB-B]

Implemented the cache decorator.

Changes:

• Added cache storage for decorated function calls
• Returned cached results for repeated immutable arguments
• Printed required messages for cached and new calculations
• Verified with pytest and flake8

[mateacademy-ai-mentor]

Review Summary

Your implementation correctly satisfies all the task requirements. The cache decorator properly stores results using a dictionary with keys generated from function arguments, prints the required messages for both cache hits and misses, and maintains separate cache storage for each decorated function through closure. As a best practice improvement, consider adding @functools.wraps(func) above your inner wrapper function definition. This preserves the original function's metadata like __name__ and __doc__, which is standard Python convention for decorators. This doesn't affect functionality but improves debugging and introspection. Overall, the solution is functional, clean, and meets all stated requirements. Good work!

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