Hashing-1

[mananrg]

No description provided.

[super30admin]

Grouping Anagrams Together (Problem1.py)

Strengths:

• Clean, readable implementation that clearly expresses the algorithm
• Correctly handles all edge cases (empty strings, single characters)
• Good use of dictionary to naturally group anagrams
• Simple and maintainable code logic

Areas for Improvement:

• Avoid using map and str as variable names as they shadow built-in types; consider anagram_map and s instead
• Consider using defaultdict from collections to simplify the code:

  from collections import defaultdict
  anagram_map = defaultdict(list)

• The sorting approach is O(K log K) per string; for very long strings, consider alternative approaches like character counting (O(K))

VERDICT: NEEDS_IMPROVEMENT

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Isomorphic Strings (Problem2.py)

Strengths:

• Correct algorithmic approach using bidirectional mapping
• Good variable naming (sChar, tChar, sMap, tMap)
• Proper early return on mismatch detection
• Clean loop structure

Areas for Improvement:

1. Fix the syntax error - the function definition is incomplete without a class wrapper
2. Correct the space complexity claim to O(n) since dictionaries can grow to n entries
3. Add proper test cases with function calls to demonstrate the solution works
4. Consider adding type hints for better code documentation
5. The test case line s = "egg", t = "add" creates a tuple, not two variables - this won't work as intended

VERDICT: NEEDS_IMPROVEMENT

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Word Pattern (Problem3.py)

Strengths:

• Clean and readable implementation that follows the problem requirements
• Proper handling of edge cases (length mismatch)
• Good use of two hash maps to maintain the bijection property
• Idiomatic Python code with clear variable naming

Areas for Improvement:

• The variable names sMap and tMap could be more descriptive (e.g., patternToWord and wordToPattern) to improve readability
• Consider combining the two conditional checks into a single expression using continue or early return logic for slightly cleaner code
• The range(0, n) can be simplified to range(n) (removing the redundant 0)

Overall, this is a solid solution that correctly solves the problem with optimal time and space complexity.

VERDICT: PASS