Completed Hashing-1

[bansariradadiya01]

No description provided.

[super30admin]

Grouping Anagrams Together (anagrams.java)

Since no actual code was provided, I cannot evaluate correctness, time/space complexity, code quality, or efficiency. However, I can provide guidance on what a good solution should include:

1. Missing Implementation: The file shows only File: anagrams.java with no Java code following it. The student needs to actually implement the solution.

2. Recommended Approach: For this problem, a correct solution should:

   • Use a hash map where the key represents the anagram signature (sorted string or character count)
   • Group strings with the same signature together
   • Return the grouped results

3. Common Approaches in Java:

   • Sort each string and use it as a key: Arrays.sort(str.toCharArray())
   • Or use character frequency as a key (26-length int array converted to a string)

4. Time Complexity: Should be O(N * K log K) using sorting, or O(N * K) using counting

5. Space Complexity: O(N * K) for storing the results

The student should submit a complete implementation to receive proper evaluation.

VERDICT: NEEDS_IMPROVEMENT

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Isomorphic Strings (Isomorphic.java)

Strengths:

• Correctly implements the bidirectional mapping strategy, which is the optimal approach for this problem
• Clean and readable code structure
• Good variable naming conventions
• Correctly identifies the time complexity as O(n)

Areas for Improvement:

• Space complexity claim of O(1) is not entirely accurate. While bounded by the ASCII character set, it's more precisely O(min(n, C)) where C is the character set size. Consider using more precise terminology.
• Code formatting could be improved for better readability (consistent indentation, braces for if statements)
• Could add a quick length check at the beginning: if (sl != tl) return false; for early exit (though the problem states lengths are equal, it's a defensive programming practice)

VERDICT: PASS

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Word Pattern (wordPattern.java)

Since no actual solution code was submitted, I cannot evaluate correctness, time/space complexity, code quality, or efficiency. The student needs to implement a solution that:

1. Parses the string s into words (splitting by spaces)
2. Checks if the number of words matches the pattern length
3. Maintains two hash maps for bidirectional mapping (pattern char → word and word → pattern char)
4. Verifies that each character maps consistently to its corresponding word and vice versa

The reference solution demonstrates the correct approach using two unordered_maps to ensure bijection between pattern characters and words.

VERDICT: NEEDS_IMPROVEMENT