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@varnika-98
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@super30admin
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Strengths:

  1. The solution is correct and handles all specified operations (add, remove, contains) as required.
  2. The use of chaining to handle collisions is appropriate and ensures average O(1) time complexity for operations.
  3. The code is clean, readable, and follows good practices, such as using a helper method for the hash function.

Areas for Improvement:

  1. The solution could benefit from a brief comment explaining the choice of the bucket size (1000) and why it is appropriate for the problem constraints.
  2. While the average time complexity is O(1), in the worst case (all keys hash to the same bucket), the time complexity could degrade to O(n). Mentioning this trade-off would provide a more complete understanding.
  3. The remove method uses bucket.remove(key), which has a time complexity of O(n) in the worst case (if the key is at the end of the list). Using a more efficient data structure for the bucket (like a linked list or a set) could improve this, though for small buckets, the difference may be negligible.

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2 participants