PR 6/7: Benchmarking infrastructure for scipy vs Pyomo#11
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bernalde wants to merge 1 commit intopr/pyomo-optimizersfrom
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PR 6/7: Benchmarking infrastructure for scipy vs Pyomo#11bernalde wants to merge 1 commit intopr/pyomo-optimizersfrom
bernalde wants to merge 1 commit intopr/pyomo-optimizersfrom
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This was referenced Mar 3, 2026
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This PR adds the benchmarking infrastructure for comparing scipy and Pyomo solvers: benchmarks/ directory contents: - adapters.py: Adapter classes for scipy and Pyomo solvers - grid_cli.py: CLI tool for running grid comparison benchmarks - scenarios.py: Test scenario definitions (standard, high resistance, etc.) - schema.py: Result data schema for consistent output - validate.py: Validation utilities for comparing results - grid_analysis.ipynb: Jupyter notebook for analyzing benchmark results - README.md: Documentation for running benchmarks benchmarks/results/: - .gitignore: Ignore large result files - README.md: Documentation for result files - archive/: Historical benchmark results - baseline_*.jsonl: Baseline comparison results Usage: python -m benchmarks.grid_cli --scenario baseline_Tsh --grid 3x3 python -m benchmarks.grid_cli --scenario baseline_Pch --grid 5x5 --solver pyomo This enables systematic comparison of scipy and Pyomo optimizer performance across different scenarios and parameter grids.
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Summary
Systematic comparison framework for scipy vs Pyomo optimizers. CLI tool (
grid_cli.py) generates parameter sweeps across product resistance, heat transfer coefficients, and operating conditions. Compares objective values, solve times, and constraint satisfaction. Includes Jupyter notebook for visualization and analysis.PR 6 of 7 in the Pyomo integration series.
Changes
benchmarks/adapters.py— Scipy/Pyomo adapter layerbenchmarks/grid_cli.py— CLI for running benchmark gridsbenchmarks/scenarios.py— Predefined test scenariosbenchmarks/schema.py— Result schema definitionbenchmarks/validate.py— Result validationbenchmarks/grid_analysis.ipynb— Analysis notebookbenchmarks/README.md— Benchmark documentationbenchmarks/results/— Reference results and .gitignoreUsage
PR Chain
Testing
No new pytest tests — benchmarks are standalone scripts. Results directory is gitignored.