Completed Hashing 1

[vishalmgvk]

No description provided.

[super30admin]

Grouping Anagrams Together (P1.py)

Strengths:

• Clean, readable implementation that clearly expresses the algorithm
• Good use of dictionary for grouping anagrams
• Proper handling of edge cases (empty strings, single characters)
• The isAnagram method shows good understanding of character counting

Areas for Improvement:

• The isAnagram method is defined but never used - consider removing dead code or using it in a different context
• Missing from typing import List import for the type hint to work correctly
• Could consider using defaultdict from collections for slightly cleaner code

VERDICT: PASS

---

Isomorphic Strings (P2.py)

Strengths:

• Correct algorithm implementation with bidirectional mapping validation
• Clean, readable code with descriptive variable names
• Proper handling of edge cases through early returns
• Follows good coding practices with consistent formatting

Areas for Improvement:

• The solution is already optimal for this problem. No significant improvements needed.
• Minor optional: Could use enumerate() for a more Pythonic iteration style, but current approach is equally clear.

VERDICT: PASS

---

Word Pattern (P3.py)

Strengths:

• Correctly implements the bijection concept with two-way mapping
• Good use of early returns for invalid cases
• Proper handling of the length mismatch edge case
• Clean separation of concerns (splitting, then checking)

Areas for Improvement:

• Use str.split(): Python's built-in words = s.split(' ') is more Pythonic, efficient, and handles edge cases better than manual parsing
• Variable naming: mapping1 and mapping2 are not descriptive. Consider word_to_char and char_to_word
• Redundant iteration: You iterate through words twice - once for each mapping. This could be combined into a single pass for slightly better efficiency
• Consider edge cases: The manual parsing handles the given constraints well, but split() would be more robust

VERDICT: PASS