sorting-race 0.2.0

Terminal-based sorting algorithm race visualization tool with real-time metrics
Documentation
# Sorting Race Progress Report

## ✅ Completed Tasks

### Core Implementation (100% Complete)
- ✅ 7 sorting algorithms implemented (Bubble, Heap, Insertion, Merge, Quick, Selection, Shell)
- ✅ 4 fairness models working (Comparison, Weighted, WallTime, Adaptive)
- ✅ Quick Sort incremental partitioning with k=16 budget
- ✅ TUI visualization with real-time metrics
- ✅ CLI parameter handling and validation

### Code Quality (100% Complete)
- **0 warnings** - Fixed all 12 deprecated ratatui warnings
-**114 tests total** - All passing in release mode
-**Property-based testing** - 6 properties validated
-**Edge case testing** - 8 edge cases covered
- ✅ Fixed sparkline test failures

### Infrastructure (100% Complete)
- **GitHub CI/CD Pipeline** - Multi-platform testing, coverage, security audit
-**Release Workflow** - Automated binary builds for Linux/macOS/Windows
-**Benchmark Suite** - Criterion-based performance benchmarks
-**Documentation** - Updated README with full usage examples

### Performance Validation (100% Complete)
- ✅ Binary size: 2.0MB (optimized)
- ✅ Memory usage: ~3.5MB for n=1000
- ✅ Frame rate: 30-36 FPS
- ✅ All algorithms work with budget k=1 to k=∞

## 📊 Current Status

```
Total Lines of Code: ~5,000
Test Coverage: High (114 tests)
Platforms: Linux, macOS, Windows
Binary Size: 2.0MB
Memory Usage: <50MB requirement met
Performance: O(n log n) average case
```

## 🚀 Remaining Tasks (Optional Enhancements)

### High Priority
1. **Package Distribution**
   - Publish to crates.io
   - Create Homebrew formula
   - Setup GitHub releases

2. **Additional Algorithms**
   - Radix Sort (for integers)
   - Tim Sort (Python's algorithm)
   - Cocktail Sort
   - Comb Sort

### Medium Priority
3. **Educational Features**
   - Step-through mode with explanations
   - Algorithm complexity visualization
   - Interactive tutorial mode

4. **Export Features**
   - CSV export of metrics
   - GIF/video recording
   - JSON data export

### Low Priority
5. **Advanced Features**
   - Network multiplayer races
   - Custom algorithm plugins
   - 3D visualization mode
   - Sound effects

## 📈 Metrics Summary

### Test Results
```
✅ 56 lib tests passing
✅ 10 visualization tests passing
✅ 8 edge case tests passing
✅ 15 fairness tests passing
✅ 5 quicksort behavior tests passing
✅ 6 property tests passing
✅ 14 sparkline tests passing
```

### Performance Benchmarks
- Quick Sort: ~500 comparisons for n=50
- Merge Sort: ~300 comparisons for n=50
- Heap Sort: ~400 comparisons for n=50
- Budget impact: Linear scaling with budget size

## 🎯 Project Completion

The core project objectives have been **100% completed**:
1. ✅ All algorithms implemented and working
2. ✅ Fairness models functioning correctly
3. ✅ Quick Sort incremental partitioning complete
4. ✅ Zero warnings, comprehensive testing
5. ✅ CI/CD and benchmarking infrastructure ready
6. ✅ Documentation and validation complete

The project is **production-ready** and can be:
- Published to crates.io
- Distributed as standalone binaries
- Used for educational purposes
- Extended with additional features

## Next Immediate Steps

1. Tag version v1.0.0
2. Create GitHub release with binaries
3. Publish to crates.io
4. Create Homebrew formula
5. Write blog post/announcement