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refactor(benchmarks): decouple CI baseline from analytics + unify measurements() (split prep)#34

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refactor/benchmarks-decouple-core
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refactor(benchmarks): decouple CI baseline from analytics + unify measurements() (split prep)#34
FBumann wants to merge 2 commits into
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refactor/benchmarks-decouple-core

refactor(benchmarks): one measurements() contract for timing + memory

d2a5d54
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CodSpeed HQ / CodSpeed Performance Analysis succeeded Jun 8, 2026 in 0s

Performance Gate Passed

✅ 79 untouched benchmarks
🆕 59 new benchmarks
⏩ 593 skipped benchmarks1

Performance Changes

Mode Benchmark BASE HEAD Efficiency
🆕 Memory test_to_lp[kvl_cycles-severity=100] N/A 38.5 MB N/A
🆕 Memory test_to_solver[highs-knapsack-n=10000] N/A 2.5 MB N/A
🆕 Memory test_to_solver[gurobi-knapsack-n=10000] N/A 2.8 MB N/A
🆕 Memory test_to_solver[gurobi-sos-n=1000] N/A 3.1 MB N/A
🆕 Memory test_to_solver[highs-expression_arithmetic-n=250] N/A 34.9 MB N/A
🆕 Memory test_to_solver[gurobi-piecewise-n=1000] N/A 5.1 MB N/A
🆕 Memory test_to_solver[gurobi-qp-n=1000] N/A 831.1 KB N/A
🆕 Memory test_to_solver[gurobi-kvl_cycles-severity=100] N/A 198.8 MB N/A
🆕 Memory test_to_lp[nodal_balance-severity=100] N/A 17.9 MB N/A
🆕 Memory test_to_lp[merge_balance-severity=100] N/A 17.6 MB N/A
🆕 Memory test_build[milp-n=50] N/A 283.7 KB N/A
🆕 Memory test_to_solver[highs-kvl_cycles-severity=100] N/A 217 MB N/A
🆕 Memory test_build[masked-n=100] N/A 735.4 KB N/A
🆕 Memory test_to_solver[highs-sparse_network-n=250] N/A 64.8 MB N/A
🆕 Memory test_to_solver[highs-cumsum-severity=100] N/A 70.7 MB N/A
🆕 Memory test_to_lp[sparse_network-n=250] N/A 34.5 MB N/A
🆕 Memory test_to_solver[highs-masked-n=100] N/A 659 KB N/A
🆕 Memory test_build[sos-n=1000] N/A 444.1 KB N/A
🆕 Memory test_to_solver[highs-piecewise-n=1000] N/A 4.2 MB N/A
🆕 Memory test_to_lp[milp-n=50] N/A 63.3 KB N/A
... ... ... ... ... ...

ℹ️ Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.

Comparing refactor/benchmarks-decouple-core (d2a5d54) with master (85c103c)

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Footnotes

  1. 593 benchmarks were skipped, so the baseline results were used instead. If they were deleted from the codebase, click here and archive them to remove them from the performance reports. ↩

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