[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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Add JS divergence/distance, cross-entropy, and conditional-entropy benchmarks comparing tsb information-theory functions against numpy equivalents. Run: https://github.com/githubnext/tsb/actions/runs/32406958975 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Add renyiEntropy, tsallisEntropy, variationOfInformation benchmarks (N=1000, 50 iters). Run: https://github.com/githubnext/tsb/actions/runs/32457469342 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Add benchmark pair for seriesBetween() standalone function with all four inclusive modes (both/left/right/neither) on 100k-element numeric Series. Mirrors pandas Series.between(inclusive=...) benchmark. Run: https://github.com/githubnext/tsb/actions/runs/32516695675 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…et — MO/TH/FR weekday offsets Add benchmark pair for Holiday with weekday offset constructors (MO, TH, FR). Benchmarks floating holidays (3rd Monday of January, 4th Thursday of November, etc.) over a 10-year range. This specifically exercises the MO/TU/WE/TH/FR/SA/SU weekday offset factory functions that were not previously covered. Run: https://github.com/githubnext/tsb/actions/runs/32558735667 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…— crossEntropy, jointEntropy, conditionalEntropy from information.ts Run: https://github.com/githubnext/tsb/actions/runs/32592447666 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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… — toOffset and inferFreq from tseries/frequencies.ts Run: https://github.com/githubnext/tsb/actions/runs/32624724971 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…essors benchmark Add bench_datetime_array_advanced — hour, minute, second, millisecond, dayofweek, dayofyear, quarter, min, max on 100k-element DatetimeArray with ~10% nulls. Mirrors pandas DatetimeArray advanced accessor coverage. Run: https://github.com/githubnext/tsb/actions/runs/32659855303 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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…tic benchmark Adds bench_timedelta_array_arithmetic covering TimedeltaArray.add/sub/mul (scalar and array operands) plus extended component accessors not in the existing bench_timedelta_array: .minutes, .milliseconds, .totalMilliseconds, .totalHours, .totalDays. Run: https://github.com/githubnext/tsb/actions/runs/32700718376 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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🤖 Iteration 481 — ✅ Accepted Added
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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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