Solution

[1ntact]

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[mateacademy-ai-mentor]

Review Summary

Your solution is approved because the cache decorator in app/main.py correctly stores results per decorated function, uses a stable key based on args and kwargs, and prints the required messages for both cached and newly computed results. The use of functools.wraps and a closure-level cache_storage matches the task requirements and keeps function metadata intact. One thing to be aware of is that the key construction (args, frozenset(kwargs.items())) assumes all arguments are hashable; if a caller passes a list or dict as an argument, this could raise a TypeError, so it’s a good idea to document that the decorator supports only hashable/immutable arguments or to add a clear error message around the key creation. Otherwise, your code is clean, avoids unnecessary duplication, and follows a consistent style. Nicely done implementing the caching behavior as specified.

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[mateacademy-ai-mentor]

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