Solution #1362
Solution #1362
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The code has a critical issue with using mutable types as keys in the cache dictionary, which can lead to runtime errors. It's important to ensure that the arguments used as keys are hashable, such as converting them to tuples. Please address this issue to ensure the caching mechanism works correctly. Keep up the good work, and once this is resolved, your implementation will be much more robust! 😊
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Great job on implementing the caching decorator function! 🎉 While the code is mostly correct, remember to address the critical issue of using mutable arguments as dictionary keys. This will help you avoid runtime errors in the future. Keep up the good work and continue learning from these experiences!
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| @wraps(func) | ||
| def wrapper(*args) -> Any: | ||
| if args in cache_storage: |
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Using mutable arguments like lists or dictionaries as keys in a dictionary will raise a TypeError because they are not hashable. Consider converting arguments to a hashable type, such as a tuple, if they are not already hashable.
| else: | ||
| print("Calculating new result") | ||
| result = func(*args) | ||
| cache_storage[args] = result |
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Similar to the previous comment, ensure that the arguments used as keys in the cache_storage dictionary are hashable to avoid runtime errors.
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