[Autoloop: perf-comparison] - #461
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… pair Run: https://github.com/githubnext/tsb/actions/runs/32766310388 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
…chmark pair Benchmarks remaining WASM rolling/expanding statistics functions: rollingMinF64Accelerated, rollingMaxF64Accelerated, rollingVarF64Accelerated, rollingStdF64Accelerated, rollingMedianF64Accelerated, and their expanding variants — not covered by bench_wasm_agg_ops which only benchmarked sum/mean. Python counterpart uses pandas Series.rolling()/expanding() with same ops. Run: https://github.com/githubnext/tsb/actions/runs/32820317584 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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🤖 This PR is maintained by Autoloop. Each accepted iteration adds a commit to this branch.
Goal
Systematically benchmark every tsb function against its pandas equivalent, building a performance comparison dataset displayed on the playground site.
Program Issue
#221
Current Best Metric
821 benchmarked function pairs (target: open-ended)
Latest Iteration (482)
Added
bench_wasm_agg_ops— benchmarks the WASM-accelerated aggregate operations:sumF64Accelerated,meanF64Accelerated,minF64Accelerated,maxF64Accelerated,varF64Accelerated,stdF64Accelerated,medianF64AcceleratedplusrollingSumF64Accelerated,rollingMeanF64Accelerated,expandingSumF64Accelerated,expandingMeanF64Acceleratednp.sum,np.mean,np.min,np.max,np.var,np.std,np.medianplusSeries.rolling().sum/mean(),Series.expanding().sum/mean()This covers the WASM aggregate dispatch wrappers that were not previously benchmarked (only searchsorted/argsort/natsort WASM functions had benchmarks).
Metric: 821 → 822 benchmarked pairs (+1)