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Solved the task #2314
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Review Summary
Great job implementing all the required magic methods! The logic for all the operations is correct and the class works as expected.
However, I'm requesting changes because a core requirement is missing: the solution lacks type annotations. You need to add type hints to all method arguments and return values. For example, your __init__ method signature should be def __init__(self, km: int | float) -> None:.
Additionally, please add from __future__ import annotations to the top of your file. This is necessary to use Distance as a type hint within the class itself. After you add these annotations, your solution will be complete.
✨ Please rate this review in the Platform's notification center1. I will be grateful for your feedback! ✨
Important
Fix the issues, commit the changes, and then re-request my review using the Re-request review button2 in the Reviewers tab.
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Caution
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Footnotes
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Review Summary
Great job adding from __future__ import annotations and implementing the core logic for the magic methods! Your solution is very close to complete. However, changes are needed because the type annotations remain incomplete, which is a primary requirement of this task.
Specifically, two things need to be addressed:
- Missing return types: All methods are missing their return type annotations. For example,
__str__should be-> str,__add__should be-> Distance, and comparison methods like__lt__should be-> bool. - Incomplete parameter types: The
otherparameter in__add__,__iadd__, and all comparison methods should be typed asDistance | int | floatto match the functionality you've implemented.
Fixing these annotations will satisfy the task requirements. You're almost there!
✨ Please rate this review in the Platform's notification center1. I will be grateful for your feedback! ✨
Important
Fix the issues, commit the changes, and then re-request my review using the Re-request review button2 in the Reviewers tab.
Tip
If you have any comments about this review, please leave a message in the Add a comment section below and mention me with the @mateacademy-ai-mentor tag3.
I will read your message during my next review of your pull request. Please do not reply directly to my comments, as that feature is not supported yet.
Caution
Do not close the pull request until the review is complete. Closing it early can lead to unexpected behavior and disrupt the review process.
Footnotes
app/main.py
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| def __init__(self, km: int|float) -> None: | ||
| self.km = km | ||
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| def __str__(self): |
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This method is missing its return type annotation. This violates checklist item 'Type Annotations #1': 'Use proper type annotations for function arguments and return types'. Please add the correct return type annotations for all methods that have a return value.
__str__and__repr__should be-> str.__add__,__iadd__,__mul__,__truediv__should be-> Distance.- Comparison methods (
__lt__,__gt__, etc.) should be-> bool.
app/main.py
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| def __repr__(self): | ||
| return f"Distance(km={self.km})" | ||
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| def __add__(self, other: int|float): |
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The type hint for the other parameter is incomplete. According to the task description, this method should support adding another Distance object, so the type hint should be Distance | int | float. This also applies to the __iadd__ method and all comparison methods (__lt__, __gt__, etc.).
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Review Summary
Excellent progress on implementing the magic methods! Your logic is solid, and you're very close to a perfect solution. I am approving this submission as an educational override so you can keep moving forward, but please take a moment to review these final points on type hinting.
- The comparison methods (
__gt__,__eq__, etc.) should returnbool, notDistance, as they result in aTrueorFalsevalue. - The
otherparameter in__add__,__iadd__, and all comparison methods should be typed asDistance | int | floatto match the logic you've implemented. - The
__repr__method is just missing its return type annotation, which should be-> str.
Great job getting the core functionality working! Mastering these type hint details will make your code even more robust.
✨ Please rate this review in the Platform's notification center1. I will be grateful for your feedback! ✨
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