Chart Generation

benchmarks/generate_charts.py creates visual summaries from benchmark JSON output.

Generate all charts

cd benchmarks
python generate_charts.py --input benchmark_results.json

Generated files

• benchmark_comparison.png (tool-wise time comparison)
• benchmark_speedup.png (speedup factors vs baselines)
• benchmark_iterations.png (per-iteration trend lines)
• algorithm_complexity.png (query complexity and speedup curves)

Notes on algorithm complexity chart

The chart logic can use measured query-count data when available and combine it with theoretical complexity trends for a practical visualization.

Reproducibility checklist

• Use the same benchmark input file for all plots.
• Keep chart generation script versioned with benchmark scripts.
• Include metadata (date, machine, target setup) in your experiment logs.