Initial commit: Divide-and-conquer sorting algorithms benchmark
- Implement Merge Sort and Quick Sort algorithms with instrumentation - Add Quick Sort pivot strategies: first, last, median_of_three, random - Create dataset generators for 5 dataset types (sorted, reverse, random, nearly_sorted, duplicates_heavy) - Build comprehensive benchmarking CLI with metrics collection - Add performance measurement (time, memory, comparisons, swaps) - Configure logging with rotating file handlers - Generate plots for time and memory vs size - Include comprehensive test suite with pytest - Add full documentation in README.md
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# Virtual environments
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venv/
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env/
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ENV/
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.venv
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# Project specific
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results/
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plots/
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*.log
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# OS
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.DS_Store
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Thumbs.db
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# Testing
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.pytest_cache/
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.coverage
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htmlcov/
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.tox/
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# Type checking
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.mypy_cache/
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.ruff_cache/
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