LeetCode Longest Substring With At Most K Distinct Characters #131
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📝 WalkthroughWalkthroughFiles were reorganized from a root-level directory structure to a nested Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~12 minutes Poem
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✨ Finishing touches
🧪 Generate unit tests (beta)
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**/README.md📄 CodeRabbit inference engine (CLAUDE.md)
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**/*.ts📄 CodeRabbit inference engine (AGENTS.md)
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**/*.{js,ts}📄 CodeRabbit inference engine (AGENTS.md)
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**/*.{ts,tsx}📄 CodeRabbit inference engine (.github/copilot-instructions.md)
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Claude finished @pertrai1's task in 1m 16s —— View job Code Review: Longest Substring With At Most K Distinct CharactersExcellent work on this solution! This is a clean implementation of the sliding window pattern with proper complexity analysis and clear comments. Todo List
✅ Algorithm CorrectnessThe solution correctly handles all test cases and edge cases:
Mental trace for Example 1 (
✅ Complexity AnalysisYour complexity analysis is accurate and well-explained: Time: O(n) ✓
Space: O(k) ✓
🎯 Pattern Recognition: Sliding Window (Variable Size)Pattern: Variable-size sliding window with HashMap frequency tracking Why this pattern? Key Insight: Additionally, using 💻 Code QualityStrengths:
Minor observations (not issues):
Improvements from previous version:
🔗 Related ProblemsPractice these similar variable sliding window problems to reinforce the pattern:
📚 Learning SummaryWhat makes this solution work?
Common mistakes to avoid:
When to use this pattern?
🎉 VerdictThis is a textbook-quality implementation of the sliding window pattern. The code is correct, efficient, well-commented, and easy to understand. Great job on the improvements from the previous version! Final Score: ⭐⭐⭐⭐⭐ (5/5) |
🧮 Solution AnalysisPR: LeetCode Longest Substring With At Most K Distinct Characters 📊 Code Quality ResultsESLint Analysis🔍 Complexity Analysis💡 Analysis Tips
📁 Analysis Files CreatedDetailed analysis files have been automatically generated and committed to 🎯 Next Steps
Analysis generated for PR files only |
✅ Test ResultsTests have been executed for this pull request. 📊 Coverage Summary
Check the workflow logs for detailed test output. |
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🤖 Gemini Code Review (Model: Here's a detailed review of the provided LeetCode solution for "Longest Substring with At Most K Distinct Characters": 1. Pattern IdentificationThis solution effectively uses the Sliding Window algorithmic pattern. Specifically, it's a dynamic sliding window where the window size adjusts based on a condition (number of distinct characters). 2. Complexity Verification
3. Key InsightThe key insight for solving this problem efficiently is to use a sliding window combined with a frequency map (or hash map).
This approach ensures that we always maintain a "valid" window (at most 4. Edge Case AnalysisThe solution handles several edge cases correctly:
The solution appears robust for the given constraints and typical edge cases. 5. Learning Points
6. Code QualityThe code quality is excellent:
7. Alternative Approaches
The sliding window approach is the optimal one for this problem, offering a significant performance improvement over brute-force methods. |
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🤖 Gemini Code Review (Model: Here's a detailed review of the provided LeetCode solution for "Longest Substring with At Most K Distinct Characters": 1. Pattern IdentificationThis solution uses the Sliding Window algorithmic pattern. Specifically, it's a variable-size sliding window. 2. Complexity Verification
3. Key InsightThe key insight for this problem, common to many "longest/shortest substring/subarray" problems, is the two-pointer sliding window approach with a frequency map.
This "expand-then-contract" strategy guarantees that at every step, we are maintaining the longest possible valid window ending at the current 4. Edge Case AnalysisThe solution handles several important edge cases correctly:
The current solution correctly handles these cases. 5. Learning Points
6. Code QualityThe code quality is excellent:
7. Alternative Approaches
The current Sliding Window approach is the most optimal solution for this problem due to its linear time complexity. |
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Pull request overview
This PR adds a new LeetCode medium problem solution: "Longest Substring with At Most K Distinct Characters" (Problem #0340). The solution implements the sliding window pattern with a frequency map to efficiently find the longest substring containing at most k distinct characters.
Key changes:
- Added TypeScript solution with O(n) time complexity using sliding window technique
- Improved README formatting from HTML to clean Markdown
- Added JSDoc comments with detailed complexity analysis
Reviewed changes
Copilot reviewed 5 out of 5 changed files in this pull request and generated no comments.
| File | Description |
|---|---|
leetcode/medium/0340-longest-substring-with-at-most-k-distinct-characters/longest-substring-with-at-most-k-distinct-characters.ts |
Implements sliding window solution with export statement, JSDoc comments, and inline documentation |
leetcode/medium/0340-longest-substring-with-at-most-k-distinct-characters/README.md |
Cleaned up problem description from HTML to Markdown format with properly formatted examples and constraints |
README.md |
Added problem link to the Sliding Window pattern section |
0340-longest-substring-with-at-most-k-distinct-characters/* |
Removed files from incorrect root location (files moved to proper leetcode/medium/ directory) |
📅 Spaced Repetition Reviews Scheduled!Great job solving #0340 - Longest Substring With At Most K Distinct Characters! 🎉 To help you retain this knowledge long-term, I've scheduled 5 review sessions using spaced repetition:
What to expect:
🧠 Why Spaced Repetition?Research shows that reviewing material at increasing intervals dramatically improves retention. This adaptive scheduling ensures optimal spacing based on when you actually complete each review! Check |
…st K Distinct Characters Problem: #0340 - Longest Substring With At Most K Distinct Characters PR: #131 First review scheduled (subsequent reviews auto-scheduled on completion) [skip ci]
Summary by CodeRabbit
New Features
Documentation
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