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BFS-2-1#637

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hiteshmadapathi wants to merge 3 commits into
super30admin:mainfrom
hiteshmadapathi:main
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BFS-2-1#637
hiteshmadapathi wants to merge 3 commits into
super30admin:mainfrom
hiteshmadapathi:main

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@hiteshmadapathi

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Implement BFS to solve the rotting oranges problem.
Implemented DFS to track the time taken for all oranges to rot. Added checks for fresh oranges and calculated the maximum time required.
Implemented both DFS and BFS approaches to calculate employee importance.
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Oranges getting rotten (Problem1.py)

Strengths:

  • Good attempt at providing two different approaches (DFS and BFS)
  • Clean code structure with descriptive variable names
  • BFS solution correctly uses level-order traversal pattern
  • Proper handling of edge cases (empty grid, no fresh oranges)

Areas for Improvement:

  1. DFS Solution: The early termination condition grid[r][c]<time is incorrect. When multiple sources spread simultaneously, you need to allow later (longer) paths to overwrite earlier ones if they reach a cell later. The DFS approach fundamentally doesn't work well here because it doesn't naturally handle the "minimum time" requirement across multiple sources.

  2. BFS Solution: The final return statement return time-1 is incorrect. Since time is incremented after processing each level, it already represents the correct count. For example, if rotting completes in one minute, the loop runs once, time becomes 1, and we should return 1, not 0.

  3. Conceptual: For this problem, BFS is the natural approach because time represents discrete "minutes" which map directly to BFS levels. DFS is more suited for problems where you need to explore all paths.

VERDICT: NEEDS_IMPROVEMENT


Importance of Employee (Problem2.py)

Strengths:

  • Excellent problem-solving approach with clear hash map optimization
  • Well-documented code with time/space complexity analysis
  • Provides both DFS and BFS solutions, showing good understanding of multiple approaches
  • Clean, readable code structure
  • Proper use of Python features (deque for BFS, recursion for DFS)

Areas for Improvement:

  • The DFS implementation could benefit from type hints for better code documentation
  • Consider adding a base case check in dfs() to handle edge cases more gracefully
  • The BFS solution uses len(q) > 0 which could be simplified to while q: for slightly more Pythonic code

Minor Suggestions:

  • Could add docstrings to methods for better documentation
  • The recursive DFS could potentially hit recursion limits for very deep hierarchies (though this is unlikely given constraints)

Overall, this is a solid solution that demonstrates good understanding of graph/tree traversal algorithms.

VERDICT: PASS

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2 participants