Nop#184
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- Implements DFS-based solution to find the number of provinces (connected components) from an adjacency matrix. - Time Complexity: O(V^2) (conversion + traversal) - Space Complexity: O(V + E) (adjacency list, visited array, recursion stack)
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🎉 Welcome to Hacktoberfest 2025, @JitinSaxenaa! 🎃 Thank you for your first contribution to our DSA repository! Here's what happens next: 🔍 Automatic Checks
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Pull Request Overview
This pull request focuses on documentation improvement and code readability enhancement for two C++ algorithms: N-Queens Problem and Number of Provinces. The changes add comprehensive documentation blocks explaining the algorithms, their approach, time/space complexity analysis, and improve variable naming throughout both implementations.
- Added detailed algorithm documentation with complexity analysis
- Improved variable naming for better code readability
- Enhanced code comments and structure
Reviewed Changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
| CPP/recursion/n_queen_problem.cpp | Added comprehensive documentation block and improved variable naming (i/j → row/col) |
| CPP/data_structures/graphs/graph/number of provinces.cpp | Added algorithm documentation and renamed variables for clarity (adj → adjacencyMatrix, vis → visited, etc.) |
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| for (int j = 0; j < V; j++) { | ||
| if (adjacencyMatrix[i][j] == 1 && i != j) { |
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Adding both directions (i→j and j→i) creates duplicate edges in the adjacency list when processing an undirected graph represented by a symmetric adjacency matrix. This will cause each edge to be added twice when iterating through the matrix, leading to incorrect graph representation.
| - Worst-case time complexity: O(N!) (factorial growth). | ||
| - More precisely: O(N * N!) due to the safety check overhead. |
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The time complexity analysis is incorrect. The worst-case time complexity is O(N^N), not O(N!) or O(N * N!). While N! represents the number of ways to place N queens, the actual recursive calls explore more possibilities since backtracking occurs at each level.
| - Worst-case time complexity: O(N!) (factorial growth). | |
| - More precisely: O(N * N!) due to the safety check overhead. | |
| - Worst-case time complexity: O(N^N), since at each of N columns, we try N possible rows (before pruning). | |
| - The actual number of recursive calls is less due to pruning, but the upper bound is O(N^N). |
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Hi @JitinSaxenaa, welcome to our DSA code repo! And can you rename this number of provinces.cpp doesn't add the blank space |
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🎉 Welcome to Hacktoberfest 2025, @JitinSaxenaa! 🎃 Thank you for your first contribution to our DSA repository! Here's what happens next: 🔍 Automatic Checks
📋 Next Steps🎁 What You Get
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🤖 Automated PR Status🔍 Code Validation✅ Passed - File naming and structure look good! 🧪 Compilation Tests❌ Failed - Please fix compilation errors and try again. 📋 Overall Status
This comment was generated automatically. Checks will re-run when you push new commits. |
Refactor the provinces.cpp file to improve code clarity and structure. Added main function to demonstrate usage of numProvinces method.
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🎉 Welcome to Hacktoberfest 2025, @JitinSaxenaa! 🎃 Thank you for your first contribution to our DSA repository! Here's what happens next: 🔍 Automatic Checks
📋 Next Steps🎯 Great job! Your code compiled successfully. Maintainers @Karanjot786 and @Pradeepsingh61 will review your PR soon. 🎁 What You Get
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🤖 Automated PR Status🔍 Code Validation✅ Passed - File naming and structure look good! 🧪 Compilation Tests✅ Passed - All code compiles successfully! 📋 Overall Status🎉 Ready for Review - Your PR has passed all automated checks! This comment was generated automatically. Checks will re-run when you push new commits. |
Implement N-Queens problem using backtracking algorithm.
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🎉 Welcome to Hacktoberfest 2025, @JitinSaxenaa! 🎃 Thank you for your first contribution to our DSA repository! Here's what happens next: 🔍 Automatic Checks
📋 Next Steps🎯 Great job! Your code compiled successfully. Maintainers @Karanjot786 and @Pradeepsingh61 will review your PR soon. 🎁 What You Get
💡 Tips for Success
Welcome to the community! 🚀 |
🤖 Automated PR Status🔍 Code Validation✅ Passed - File naming and structure look good! 🧪 Compilation Tests✅ Passed - All code compiles successfully! 📋 Overall Status🎉 Ready for Review - Your PR has passed all automated checks! This comment was generated automatically. Checks will re-run when you push new commits. |
📋 Pull Request Description
What does this PR add?
Algorithm/Feature Details
Testing