[Autoloop: perf-comparison] - #435
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…ndex benchmark Run: https://github.com/githubnext/tsb/actions/runs/30010910150 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Benchmark BooleanArray extension array (100k elements, ~10% nulls, 50 iters): from/any/all/sum/and/or/not/fillna. TS: arrays.BooleanArray from tsb; Python: pd.array(dtype='boolean'). Run: https://github.com/githubnext/tsb/actions/runs/30058807058 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Run: https://github.com/githubnext/tsb/actions/runs/30096576504 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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🤖 Iteration 420 — ✅ Accepted
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Add bench_datetime_array.ts and bench_datetime_array.py benchmarking nullable datetime extension array: from/year/month/day/isna/notna/fillna. 100k elements with ~10% nulls, 50 iterations. Run: https://github.com/githubnext/tsb/actions/runs/30138360760 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Add bench_timedelta_array.ts and bench_timedelta_array.py benchmarks for TimedeltaArray (100k elements, ~10% nulls, 50 iters): from/days/hours/ totalSeconds/isna/notna/sum/min/max/fillna. Run: https://github.com/githubnext/tsb/actions/runs/30159549081 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Add matched TypeScript + Python benchmarks for Gaussian KDE (evaluate + integrate) on a bimodal 10k-point dataset with 200 evaluation points, 20 iterations. Run: https://github.com/githubnext/tsb/actions/runs/30182788398 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Run: https://github.com/githubnext/tsb/actions/runs/30203838065 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…tropy/jsDivergence/jsDistance/crossEntropy benchmark Run: https://github.com/githubnext/tsb/actions/runs/30248425219 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…alEntropy/variationOfInformation benchmark 1000-element paired observations, 10 categories, 50 iters each. Python: pure-numpy implementations matching tsb semantics. Run: https://github.com/githubnext/tsb/actions/runs/30297867311 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…ction benchmark Benchmark mergeAsof with direction="forward" (smallest right key >= left key). Only the default backward direction was previously covered. Run: https://github.com/githubnext/tsb/actions/runs/31856202878 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…read_fwf Run: https://github.com/githubnext/tsb/actions/runs/31886321783 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…arterEnd/Begin, BMonthEnd/Begin, BYearEnd/Begin apply/rollforward/rollback on 5k dates Run: https://github.com/githubnext/tsb/actions/runs/31919325615 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…/dataFrameAbs/seriesRound/dataFrameRound on 100k-row dataset Run: https://github.com/githubnext/tsb/actions/runs/31948913632 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…rgence functions Add bench_information_divergence for jsDivergence, jsDistance, crossEntropy, renyiEntropy, tsallisEntropy, jointEntropy, conditionalEntropy, and variationOfInformation from src/stats/information.ts — the last unbenchmarked information-theory functions. Run: https://github.com/githubnext/tsb/actions/runs/31984632889 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Run: https://github.com/githubnext/tsb/actions/runs/32033589601 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Run: https://github.com/githubnext/tsb/actions/runs/32033589601 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…marks Benchmarks pandas.api.types value-level predicates (isScalar, isListLike, isArrayLike, isDictLike, isIterator, isNumber, isBool, isFloat, isInteger, isMissing, isHashable, isDate) against their tsb equivalents. Run: https://github.com/githubnext/tsb/actions/runs/32087829947 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…earchsortedAccelerated / searchsortedManyAccelerated / argsortScalarsAccelerated vs numpy Run: https://github.com/githubnext/tsb/actions/runs/32140867086 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…DataFrame eq/ne/lt/gt/le/ge vs scalar and DataFrame Run: https://github.com/githubnext/tsb/actions/runs/32204535885 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…ies & DataFrame) Run: https://github.com/githubnext/tsb/actions/runs/32256666621 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.
Autoloop: perf-comparison
Goal: Benchmark every tsb function vs pandas equivalent.
Current Best Metric: 756 benchmarked function pairs
Program Issue: #221
Latest Iteration (418)
Added
firstValidIndex/lastValidIndexbenchmarks:benchmarks/tsb/bench_first_last_valid_index.ts— 100k-row Series with NaN at start, end, and scattered; 500 measured iterationsbenchmarks/pandas/bench_first_last_valid_index.py— matching dataset and loop structure usingSeries.first_valid_index()/Series.last_valid_index()Metric: 755 → 756 (+1)
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