solution #1351
solution #1351
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The use of mutable types as dictionary keys is a critical issue that can lead to runtime errors. Please ensure that only immutable types are used as keys, or convert mutable arguments to a hashable type before caching. Keep up the good work, and once this issue is resolved, your code will be much more robust! 😊
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| func_cache = {} | ||
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| def wrapper(*args) -> Any: | ||
| if args in func_cache: |
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Using mutable types like lists or dictionaries as keys in a dictionary will raise a TypeError because they are not hashable. Consider using only immutable types like tuples as keys, or converting the arguments to a hashable type before using them as keys.
| else: | ||
| print("Calculating new result") | ||
| result = func(*args) | ||
| func_cache[args] = result |
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Ensure that the arguments used as keys in the dictionary are immutable. If the function can receive mutable arguments, consider converting them to a hashable type before storing them in the cache.
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Great job implementing the caching decorator function! 🎉 However, there's a critical issue with using mutable types as dictionary keys. Please review the comments and address this by converting args to a hashable type, like a tuple of tuples. This will help you avoid similar problems in the future. Keep up the good work and continue learning from these experiences!
✨ Please rate this review in the Platform's notification center. I will be grateful for your feedback! ✨
| func_cache = {} | ||
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| def wrapper(*args) -> Any: | ||
| if args in func_cache: |
There was a problem hiding this comment.
Using args as a dictionary key can lead to issues if args contains mutable types like lists. Consider converting args to a hashable type, such as a tuple of tuples, to ensure it can be used as a dictionary key.
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