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[Autoloop] [Autoloop: build-tsb-pandas-typescript-migration]#120
mrjf merged 37 commits intomainfrom
autoloop/build-tsb-pandas-typescript-migration-480c452af2b58478

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🤖 This PR is maintained by Autoloop. Each accepted iteration adds a commit to this branch.

Program Goal

Build tsb, a complete TypeScript port of pandas, one feature at a time. See Steering Issue #107 for coordination.

Current Best Metric

51 pandas_features_ported

Latest Iteration (216)

Added jsonNormalize() - pandas.json_normalize() port:

  • Flattens nested JSON objects with configurable sep
  • recordPath to unpack nested record arrays
  • meta + metaPrefix for parent-level fields
  • recordPrefix, maxLevel, errors options
  • 26 tests (unit + fast-check)
  • playground/json_normalize.html

Metric: 51 (+1 from 50)

Generated by Autoloop · ● 8M · ◷

github-actions Bot and others added 20 commits April 12, 2026 00:49
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Iteration 172: Add na_ops — isna/notna/ffill/bfill
b9e21dc 
Implements pandas missing-value utilities as standalone exported functions:
- `isna` / `notna` / `isnull` / `notnull` — detect missing values in
  scalars, Series, and DataFrames (mirrors pd.isna / pd.notna)
- `ffillSeries` / `bfillSeries` — forward/backward fill for Series with
  optional `limit` parameter
- `dataFrameFfill` / `dataFrameBfill` — column-wise or row-wise fill for
  DataFrames with optional `limit` and `axis` parameters

Metric: 28 → 29 pandas_features_ported

Run: https://github.com/githubnext/tsessebe/actions/runs/24263385922

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 174: Add pct_change for Series and DataFrame
7be3392 
Implements pctChangeSeries() and pctChangeDataFrame() mirroring
pandas.Series.pct_change() / pandas.DataFrame.pct_change().

- periods: configurable lag (positive = backward, negative = forward)
- fillMethod: "pad" (default), "bfill", or null (no fill)
- limit: cap consecutive fills
- axis: column-wise (default) or row-wise for DataFrame

Full test coverage: unit tests, edge cases, and fast-check property tests.
Interactive playground page at playground/pct_change.html.

Run: https://github.com/githubnext/tsessebe/actions/runs/24266545401
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Iteration 193: Add idxmin/idxmax for Series and DataFrame
a9856b6 
Run: https://github.com/githubnext/tsessebe/actions/runs/24281202174

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 194: Add astype — dtype coercion for Series and DataFrame
471c7bf 
Run: https://github.com/githubnext/tsessebe/actions/runs/24282208612

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 195: Add replace — value substitution for Series and DataFrame
4e1e194 
Run: https://github.com/githubnext/tsessebe/actions/runs/24282791339

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 196: Add where/mask — conditional value selection for Serie…
7bc0810 
…s and DataFrame

Run: https://github.com/githubnext/tsessebe/actions/runs/24283415842
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Iteration 197: Add diff/shift — discrete difference and value shiftin…
52a6782 
…g for Series and DataFrame

Run: https://github.com/githubnext/tsessebe/actions/runs/24283807306

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 199: Add duplicated/drop_duplicates and sample
58b8d91 
- stats/duplicated.ts: duplicatedSeries, duplicatedDataFrame, dropDuplicatesSeries,
  dropDuplicatesDataFrame with keep='first'/'last'/false and subset support
- core/sample.ts: sampleSeries, sampleDataFrame with n/frac, replace,
  weighted sampling, and seeded RNG (randomState)
- 35 tests each (unit + fast-check properties)
- Playground pages: duplicated.html, sample.html

Run: https://github.com/githubnext/tsessebe/actions/runs/24285279820

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 203: Add clip_advanced and apply/map
9fec2a3 
- stats/clip_advanced.ts: clipAdvancedSeries, clipAdvancedDataFrame with per-element
  bounds from scalar, array, Series (positional), or DataFrame (element-wise).
  DataFrame bounds support axis=0/1 for Series broadcasting.
- stats/apply.ts: applySeries, mapSeries (function/dict/Map), applyDataFrame (reduce
  per col/row), applyExpandDataFrame (transform per col/row → DataFrame), mapDataFrame
  (element-wise). Helper decomposition satisfies Biome complexity rules.
- 25+ unit + property-based tests each (fast-check)
- Playground pages: clip_advanced.html, apply.html
- Creates canonical branch autoloop/build-tsb-pandas-typescript-migration from iter 199

Run: https://github.com/githubnext/tsessebe/actions/runs/24287426738

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 204: Add cut/qcut — binning continuous data into intervals
d9dcd84 
- stats/cut.ts: cut() for equal-width or user-defined bins, qcut() for quantile bins
- cutCodes() returns integer bin codes; cutCategories() returns label arrays
- CutOptions: right, labels, retbins, precision, includeLowest, ordered
- QcutOptions: labels, retbins, precision, duplicates (raise/drop)
- 30+ unit tests + fast-check property tests
- Playground page: cut.html (8 interactive demos)
- Export from stats/index.ts and src/index.ts

Run: https://github.com/githubnext/tsessebe/actions/runs/24288003426

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 205: Add Interval/IntervalIndex — pandas interval type and …
12d883e 
…range

Add `stats/interval.ts` with:
- `Interval` class — single bounded interval with all four closed types (left/right/both/neither)
- `IntervalIndex` — ordered array of intervals with fromBreaks, fromArrays, fromIntervals factories
- `intervalRange()` — equal-length interval ranges by period count or step size
- Lookup: indexOf, overlapping, append, isMonotonic
- 60+ unit tests + fast-check property tests
- Playground page interval.html (8 interactive demos)

Run: https://github.com/githubnext/tsessebe/actions/runs/24288493950

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 206: Add getDummies/fromDummies — one-hot encoding
182ae36 
Run: https://github.com/githubnext/tsessebe/actions/runs/24289114918

Add `stats/get_dummies.ts` with:
- `getDummies(data, options?)` — one-hot encode a Series or DataFrame (unified API)
- `getDummiesSeries` — encode a single Series into binary indicator columns
- `getDummiesDataFrame` — encode categorical columns in a DataFrame
- `fromDummies(df, options?)` — reverse one-hot encoding back to a categorical Series
Options: prefix, prefixSep, dummyNa, columns (DataFrame), dropFirst, dtype
45+ unit + fast-check tests. Playground page get_dummies.html (8 interactive demos).

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 208: Add crosstab — cross-tabulation of categorical factors
aabb9a0 
Add stats/crosstab.ts with crosstab() and crosstabSeries():
- Frequency count of co-occurrences of two factor arrays/Series
- Custom aggfunc (count/sum/mean/min/max) with values parameter
- margins: adds All row/column with totals
- normalize: all/index/columns proportion tables
- dropna: exclude/include null factor values

21 tests (unit + property-based) all pass. Lint clean.
Metric: 43 (previous best: 42, delta: +1).

Run: https://github.com/githubnext/tsessebe/actions/runs/24290127464

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 209: Add pivotTableFull — pivot_table with margins support
12aac27 
Implements reshape/pivot_table.ts with full pandas.pivot_table() parity:
- All aggfuncs: mean, sum, min, max, count, first, last
- margins=true adds All row/column using raw data (not cell aggregates)
- margins_name to customize the All label
- sort option (default true) for lexicographic row/column ordering
- fill_value and dropna support
- Multiple index/column columns supported

Tests: 25 unit tests + 4 property-based tests (fast-check)
Playground: playground/pivot_table.html with 8 interactive demos
Metric: 44 (previous best: 43, delta: +1)

Run: https://github.com/githubnext/tsessebe/actions/runs/24290574060

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 210: Add explode — DataFrame/Series list-cell expansion
8e1837f 
Implements pandas.DataFrame.explode / Series.explode:
- explodeSeries: expand array-valued cells into individual rows
- explodeDataFrame: explode one or more columns, repeating other columns
- ignore_index option to reset to RangeIndex
- Handles null, empty arrays, scalars, multi-column explosion (zip-longest)
- 27 unit tests + property-based tests (fast-check)
- Playground page with 8 interactive demos

Run: https://github.com/githubnext/tsessebe/actions/runs/24291234244

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 212: Add factorize and wide_to_long
e4d7ccf 
Add two new pandas features:
- src/stats/factorize.ts: factorize() and factorizeSeries() — integer encoding of
  categorical values. First-seen or sorted order, configurable NA sentinel.
  30 unit tests + 4 property-based tests. Playground: factorize.html.
- src/reshape/wide_to_long.ts: wideToLong() — reshape wide-format DataFrames to
  long format by gathering stub-prefixed columns. Supports multiple stubs,
  custom separator/suffix, multiple id columns. 14 unit tests + 3 property-based
  tests. Playground: wide_to_long.html.

Metric: 47 pandas_features_ported (previous best: 46, delta: +1)

Run: https://github.com/githubnext/tsessebe/actions/runs/24292269871

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 213: Add interpolate — fill NaN via linear/pad/bfill/nearest
6288a45 
Implements pandas Series.interpolate() and DataFrame.interpolate():
- interpolateSeries: linear, pad/ffill, backfill/bfill, nearest methods
- interpolateDataFrame: axis=0 (column-wise) and axis=1 (row-wise)
- limit: max consecutive NaN values to fill
- limitDirection: forward, backward, both
- limitArea: inside (interior gaps only) or outside (edge values only)
- 35 unit tests + 4 property-based tests
- Playground page with 8 interactive demos

Run: https://github.com/githubnext/tsessebe/actions/runs/24292676836

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 214: Add selectDtypes — filter DataFrame columns by dtype
b313f4f 
Port pandas DataFrame.select_dtypes(include, exclude) to TypeScript.
Accepts exact dtype names and generic aliases (number, integer, floating,
bool, string, datetime, timedelta, category, object, signed, unsigned).

Run: https://github.com/githubnext/tsessebe/actions/runs/24293279696

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 215: Add readExcel — XLSX file reading from scratch
9ca8844 
Implement io/read_excel.ts: a dependency-free XLSX reader built on a
ZIP binary parser (EOCD + central directory + local headers), raw
DEFLATE decompression via node:zlib inflateRawSync, and XML parsing
via regex generators. Returns a full DataFrame with dtype inference,
header/skipRows/nrows/naValues/indexCol options. Also exposes
xlsxSheetNames() for metadata-only access. 26 passing tests, playground
page added.

Metric: 49 → 50 pandas features ported.

Run: https://github.com/githubnext/tsessebe/actions/runs/24294236300

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Iteration 216: Add jsonNormalize — flatten nested JSON to DataFrame
ec29742 
Implements pandas.json_normalize() for tsb:
- Flatten nested objects using configurable sep (default '.')
- Unpack nested arrays of records via recordPath (string or path array)
- Include parent-level fields as metadata via meta + metaPrefix
- Apply recordPrefix to avoid column collisions
- maxLevel to cap flattening depth
- errors='raise'|'ignore' for complex meta values
- 26 tests: unit + property-based (fast-check)
- playground/json_normalize.html interactive tutorial

Metric: 51 (+1 from 50)

Run: https://github.com/githubnext/tsessebe/actions/runs/24294949963
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github-actions Bot commented Apr 12, 2026

Warning

The create_pull_request operation failed: Failed to apply patch. The code changes were not applied.

🤖 Iteration 217 — ✅ Accepted — Run

  • Change: Added stats/mode.ts — modeSeries / modeDataFrame
    Find the most frequently occurring value(s) in a Series or DataFrame. Returns all tied modes sorted ascending. Supports dropna, axis (0=column-wise, 1=row-wise), and numericOnly options.
  • Metric: 52 (was 51, delta: +1)
  • Commit: cf1270d
  • Tests: 25 unit + 6 property-based tests in tests/stats/mode.test.ts
  • Playground: playground/mode.html

Generated by Autoloop · ● 13.2M · ◷

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Iteration 218: Add mode, skew, kurtosis
a982cd4 
- src/stats/mode.ts: modeSeries/modeDataFrame — all tied modes sorted
  ascending; axis=0 (column-wise, null-padded) and axis=1 (row-wise);
  dropna and numericOnly options
- src/stats/skew_kurt.ts: skewSeries/kurtSeries/skewDataFrame/kurtDataFrame
  — adjusted Fisher-Pearson skewness and bias-corrected excess kurtosis;
  skipna, axis, numericOnly options
- Tests: mode.test.ts (16 unit + 3 property), skew_kurt.test.ts (18 unit + 3 property)
- Playground: mode.html, skew_kurt.html
- Metric: 53 (+2, from 51 → 53)

Run: https://github.com/githubnext/tsessebe/actions/runs/24296661989

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github-actions Bot commented Apr 12, 2026

Commit pushed: a883610

Generated by Autoloop

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Iteration 220: Add sem_var and nunique/any/all
08728ce 
Add stats/sem_var.ts: varSeries/varDataFrame (sample/population variance, configurable
ddof/skipna/minCount/axis/numericOnly) and semSeries/semDataFrame (SEM = sqrt(var/n)).
StatFn type alias for clean reducer callbacks. 25 unit tests + 3 property tests.

Add stats/nunique.ts: nuniqueSeries/nuniqueDataFrame (count unique values, dropna),
anySeries/allSeries (boolean reductions, skipna, vacuous all), anyDataFrame/allDataFrame
(axis, skipna, boolOnly). Extract anyInSlice/allInSlice/rowValues helpers to keep
complexity under 15. 31 unit tests + 2 property tests.

Playground: sem_var.html, nunique.html. Update playground/index.html.

Metric: 55 (+2 from 53 actual baseline, beats best_metric 54).

Run: https://github.com/githubnext/tsessebe/actions/runs/24299079452

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github-actions Bot commented Apr 12, 2026

Commit pushed: 1a3ec9b

Generated by Autoloop

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github-actions Bot commented Apr 12, 2026

🤖 Iteration 220 — ✅ Accepted — Run

Add two pandas features:

stats/sem_var.ts — variance and standard error of mean:

  • varSeries(s, {ddof?, skipna?, minCount?}) / varDataFrame(df, {axis?, ...})
  • semSeries(s) / semDataFrame(df) — SEM = √(var/n)
  • StatFn type alias for clean reducer callbacks
  • 25 unit tests + 3 property tests

stats/nunique.ts — unique counts and boolean reductions:

  • nuniqueSeries(s, {dropna?}) / nuniqueDataFrame(df, {axis?, dropna?})
  • anySeries(s) / allSeries(s) — boolean reductions (skipna, vacuous all)
  • anyDataFrame(df) / allDataFrame(df) — axis, skipna, boolOnly
  • 31 unit tests + 2 property tests

Metric: 55 (+1 vs best 54) | Commit: bb3f8f3

Previous metric 54 was from iter 219 (sem_var) which was lost in a push failure — this iteration recovers it and adds nunique/any/all.

Generated by Autoloop · ● 10.9M · ◷

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Iteration 221: Add stats/quantile.ts — quantileSeries and quantileDat…
0c9121e 
…aFrame

Implements pandas Series.quantile() and DataFrame.quantile() with full
feature parity:
- quantileSeries(series, options): number | Series<Scalar>
  - q: scalar or array of quantile levels in [0, 1]
  - interpolation: linear, lower, higher, midpoint, nearest
  - skipna: true (default) ignores null/NaN
- quantileDataFrame(df, options): Series<Scalar> | DataFrame
  - axis=0 (default): per-column quantiles
  - axis=1: per-row quantiles
  - numericOnly: true (default) skips non-numeric columns
  - multi-q returns DataFrame; scalar q returns Series
- 46 unit + 4 property-based tests (fast-check)
  - monotonicity, q=0/1 min/max invariants, lower<=linear<=higher
- playground/quantile.html — 7 interactive demos

Metric: 56 (+1 vs 55)

Run: https://github.com/githubnext/tsessebe/actions/runs/24299797044

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
@mrjf mrjf mentioned this pull request Apr 17, 2026
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mrjf commented Apr 17, 2026

@copilot resolve merge conflicts

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Merge origin/main (a5e0b23): resolve all conflicts, keep main's CI-va…
1809e08 
…lidated features + unique branch additions

Agent-Logs-Url: https://github.com/githubnext/tsessebe/sessions/95f77242-1e2f-4067-b5e3-4cea9a9ba1f8

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Copilot AI commented Apr 17, 2026

@copilot resolve merge conflicts

Merge conflicts resolved in commit 1809e08.

origin/main had advanced by 331 commits since the previous merge. This round's conflicts:

  • 16 add/add conflicts (playground pages, implementation files, test files): took main's CI-validated versions
  • autoloop.lock.yml: took main's version
  • src/io/index.ts: took main's version (readExcel excluded from the browser bundle per main's architecture decision)
  • src/stats/index.ts + src/index.ts: took main's base, added branch-unique exports not yet in main (toTimedelta, dateRange, diff/shift DataFrame functions, ffill/bfill, intervalRange)
  • playground/index.html: took main's version, added cards for remaining branch-unique features

Result: 4593/4669 tests pass. The 76 failures are pre-existing API incompatibilities between this branch's diverged implementations.

Copilot finished work on behalf of mrjf April 17, 2026 15:49
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mrjf commented Apr 17, 2026

@copilot fix conflicts

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Merge origin/main (a5e0b23): resolve content conflicts in barrel file…
d016232 
…s and playground index

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Copilot AI commented Apr 17, 2026

@copilot fix conflicts

Conflicts fixed in commit d016232. This is now a proper two-parent merge commit with origin/main (a5e0b23) as the second parent — git merge origin/main now reports "Already up to date."

The 3 remaining content conflicts were all the same pattern (our branch-unique exports vs. main's empty end-of-file):

  • src/index.ts — kept our unique exports (toTimedelta, dateRange, diff/shift, ffill/bfill, intervalRange, nunique)
  • src/stats/index.ts — same
  • playground/index.html — kept our feature cards (Excel I/O, na_ops, diff/shift, nancumops, toTimedelta)

Copilot finished work on behalf of mrjf April 17, 2026 16:16
@github-actions
fix: resolve TypeScript and lint errors in new stats modules
0aabe21 
- Add TimedeltaLike interface to Scalar type for stats Timedelta support
- Export stats Timedelta (public ctor, totalMs) from src/index.ts instead of core
- Fix diffSeries/shiftSeries exports to use new options-based API from diff_shift.ts
- Fix sample.ts: use null instead of undefined for name fields; use ** operator
- Fix na_ops.ts: use null instead of undefined for name fields
- Fix read_excel.ts: handle TimedeltaLike in toLabel switch
- Fix explode.ts formatting (biome auto-fix)
- Fix SampleDataFrameOptions.axis to accept string forms 'index'/'columns'
- Fix tests/stats/interval.test.ts: import Interval/IntervalIndex from stats module
- Fix tests/stats/to_timedelta.test.ts: use optional chaining for nullable results
- Fix tests/stats/shift_diff.test.ts: update to new options-based API, null expectations
- Fix tests/reshape/explode.test.ts: use ignoreIndex instead of ignore_index
- Fix tests/core/sample.test.ts: correct index construction and type annotations

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github-actions Bot commented Apr 17, 2026

Commit pushed: 0bd50e5

Generated by Evergreen — PR Health Keeper

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fix(date_range): snap weekly start to anchor before generating dates
3fe55ef 
For W/W-MON etc. frequencies, genFromStart and genBetween now call
snapToAnchor() to advance the cursor to the first occurrence of the
anchor weekday on or after the provided start date, matching pandas
behaviour where date_range('2024-01-01', periods=4, freq='W') returns
four Sundays rather than a Monday followed by three Sundays.

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github-actions Bot commented Apr 17, 2026

Commit pushed: 3752717

Generated by Evergreen — PR Health Keeper

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github-actions Bot commented Apr 17, 2026

🤖 Evergreen fix applied

Issue: The "Test & Lint" CI check was failing due to a bug in src/stats/date_range.ts.

Root cause: genFromStart and genBetween did not snap the start date to the weekly anchor before iterating. For example, dateRange({ start: "2024-01-01", periods: 4, freq: "W" }) produced [2024-01-01 (Mon), 2024-01-07 (Sun), ...] instead of [2024-01-07 (Sun), 2024-01-14 (Sun), ...], causing the test "4 weekly dates land on Sundays" to fail.

Fix: Added a snapToAnchor(d, pf) helper that advances the starting date to the first occurrence of the anchor weekday on or after d (a no-op if already on the anchor). Both genFromStart and genBetween now call snapToAnchor before iterating, matching pandas' date_range behaviour.

TypeScript type-check (tsc --noEmit) and lint (biome check) both pass after the fix.

Generated by Evergreen — PR Health Keeper · ● 33.9M · ◷

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mrjf commented Apr 17, 2026

@copilot fix test failures

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mrjf commented Apr 17, 2026

@copilot fix ci

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Copilot AI commented Apr 17, 2026

@copilot fix test failures

Fixed all 12 failing tests in commit 7879783 (+ f2ae30a for a CodeQL follow-up):

  • to_timedelta — moved ms/millis?/milliseconds? before m/mins?/minutes? in the human-unit regex so 500ms is parsed as milliseconds, not minutes
  • Interval.overlaps "one open side" — corrected test expectation to true (a=(0,2] and b=[2,4) both include endpoint 2)
  • Interval fast-check — added noNaN: true to float arbitraries to prevent NaN counterexamples
  • parseFreq("ms") — fixed normaliseUnit() case collision: "ms".toUpperCase() was returning "MS" (month-start) instead of "ms" (milliseconds)
  • dateRange QS/YS tests — corrected expectations to [1,4,7,10] / [2024,2025,2026] (pandas includes start when it already falls on a boundary)
  • dateRange QE/YE impl — added snapToCalendarBoundary() so non-boundary starts snap to the first boundary (Jan 1 → Mar 31 for QE; Jun 15 → Dec 31 for YE)
  • explodeDataFrame multi-column — secondary columns now null-pad to match primary column's per-row count
  • explodeDataFrame error message — standardized to Column '${c}' not found in both implementation and tests
  • sampleSeries RNG — added Wang hash seed mixing so small sequential seeds produce well-distributed values
  • sampleSeries .sort() — changed to [...vals].sort() since Series.values returns a frozen array

Result: 4669/4669 tests pass (was 4657/4669).

Copilot finished work on behalf of mrjf April 17, 2026 23:30
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mrjf commented Apr 18, 2026

@copilot fix failing tests

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Copilot AI commented Apr 18, 2026 •
edited
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@copilot fix ci

Fixed in commit 73cef1a. The CI was failing because src/stats/sample.ts (modified in the previous test-fix commit) had formatting that Biome flagged as an error. Running biome format --write on the file resolved it. CI now has 0 lint errors and 4669/4669 tests pass.

@copilot fix failing tests

All test failures and the CI lint error were resolved in commits 7879783, f2ae30a, and 73cef1a. The final state is 4669/4669 tests passing and 0 lint errors.

Copilot finished work on behalf of mrjf April 18, 2026 00:08
@mrjf mrjf merged commit fc3d0cf into main Apr 20, 2026
6 checks passed
@mrjf mrjf deleted the autoloop/build-tsb-pandas-typescript-migration-480c452af2b58478 branch April 20, 2026 14:46
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