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[Autoloop] Add timedelta_range (pandas feature port)#174

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[Autoloop] Add timedelta_range (pandas feature port)#174
mrjf merged 30 commits intomainfrom
autoloop/build-tsb-pandas-typescript-migration

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[Autoloop: build-tsb-pandas-typescript-migration]

Ports pandas.timedelta_range — factory function for generating fixed-frequency TimedeltaIndex sequences.

What's included

  • src/core/timedelta_range.ts — Full implementation of timedelta_range() with all pandas parameter combinations:
    • start + periods + freq — N values forward from start
    • end + periods + freq — N values ending at end
    • start + end + freq — values from start to end by step
    • start + end + periods — linearly spaced values
    • Multiplier freq prefixes: "2H", "30min", "500ms" etc.
    • closed endpoint control: "both", "left", "right", "neither"
    • name option for index labelling
  • tests/core/timedelta_range.test.ts — Comprehensive tests including unit, property-based (fast-check), and pandas parity tests
  • playground/timedelta_range.html — Interactive tutorial page

Metric

pandas_features_ported: 108 (+1 from 107)

Linked to issue #1.

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

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Port pandas.timedelta_range — generates fixed-frequency TimedeltaIndex sequences.
Supports all parameter combinations: start+end+freq, start+periods+freq,
end+periods+freq, and linear spacing (start+end+periods). Includes multiplier
freq prefixes (e.g. '2H', '30min'), closed endpoint control, and name option.

Metric: 108 (+1 from 107)

Run: https://github.com/githubnext/tsessebe/actions/runs/24736530340

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
…ing parsing

- Fix Timedelta.parse() to accept 'N days' format (without time component)
- Extract parseIsoMatch/parsePandasMatch/parseHhmmssMatch helpers to reduce complexity
- Consolidate duplicate Timedelta class: to_timedelta.ts now re-uses core Timedelta
- Add backward-compat aliases to core Timedelta: totalMs, absMs, ms, sign, subtract, scale, lt, gt, eq
- Export Timedelta from core/index.ts (not stats) in src/index.ts
- Fix to_timedelta tests to use Timedelta.fromMilliseconds() instead of new Timedelta()
- All 4714 tests pass; metric: 108

Run: https://github.com/githubnext/tsessebe/actions/runs/24742152636

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Commit pushed: fcba091

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…/ eval)

Ports pandas.DataFrame.query() and pandas.DataFrame.eval() as standalone
functions queryDataFrame(df, expr) and evalDataFrame(df, expr).

Implementation: recursive-descent parser with lexer for pandas-style
expression strings. Supports:
- Column references (bare identifiers and backtick-quoted for spaces)
- Numeric, string, boolean, null literals
- Arithmetic: + - * / % **
- Comparisons: == != < <= > >=
- Logical: and or not (with short-circuit evaluation)
- Membership: col in [...], col not in [...]
- Built-in functions: abs, round, floor, ceil, sqrt, log, log2, log10,
  str, len, lower, upper, isnull/isna, notnull/notna
- Grouped expressions via parentheses

Metric: 108 → 109 (pandas_features_ported)

Run: https://github.com/githubnext/tsessebe/actions/runs/24744428523

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Commit pushed: 272e371

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Tests in tests/stats/eval_query.test.ts reference DataFrame.fromArrays,
which did not exist on the DataFrame class. Add it as a thin alias for
the existing fromColumns static factory method.

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Commit pushed: a698246

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🤖 Evergreen Fix

Issue: typecheck failing — Property 'fromArrays' does not exist on type 'typeof DataFrame' (24 errors in tests/stats/eval_query.test.ts)

Root cause: DataFrame.fromArrays was referenced in tests but never defined on the class. The class only had fromColumns.

Fix: Added DataFrame.fromArrays as a static alias for fromColumns in src/core/frame.ts.

static fromArrays(
  data: Readonly<Record<string, readonly Scalar[]>>,
  options?: DataFrameOptions,
): DataFrame {
  return DataFrame.fromColumns(data, options);
}

Commit: b189f66

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mrjf commented Apr 21, 2026

@copilot fix tests

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Copilot AI commented Apr 21, 2026

@copilot fix tests

Fixed in commit f3af87d.

I stabilized the failing property test by constraining its float generator to finite values, and I normalized -0 to 0 in eval arithmetic results. I also re-ran the targeted eval/query tests and the full test suite successfully.

Copilot finished work on behalf of mrjf April 21, 2026 22:34
Copilot AI requested a review from mrjf April 21, 2026 22:34
…Expand + toJsonDenormalize/toJsonRecords/toJsonSplit/toJsonIndex

- src/stats/str_findall.ts: strFindall (all regex matches per element),
  strFindallCount (count of matches), strFindFirst (first match or null),
  strFindallExpand (expand capture groups into DataFrame columns)
  Mirrors pandas Series.str.findall, str.extract(expand=True)
- src/io/to_json_normalize.ts: toJsonDenormalize (inverse of jsonNormalize —
  flat dotted-column DataFrame → nested JSON), toJsonRecords (orient=records),
  toJsonSplit (orient=split), toJsonIndex (orient=index)
  Mirrors pandas df.to_json() and inverse of pd.json_normalize()
- Tests: full unit + property-based coverage for all 8 new functions
- Playground: str_findall_and_json_denormalize.html with examples
- Metric: 111 (was 109, best was 110)

Run: https://github.com/githubnext/tsessebe/actions/runs/24749266130

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Commit pushed: 7e65dce

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- Add explicit return types to arrow functions in rolling_apply.test.ts
  (nursery/useExplicitType)
- Import Rolling, RollingSeriesLike, Scalar from src/index.ts instead
  of internal module paths in rolling.test.ts
  (nursery/useImportRestrictions)

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Commit pushed: cd71e4a

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Evergreen Fix

Fixed 5 lint errors (nursery rules = errors) causing CI failure:

tests/window/rolling_apply.test.tsnursery/useExplicitType

  • Added explicit : number return types to two arrow functions

tests/window/rolling.test.tsnursery/useImportRestrictions

  • Consolidated imports to use ../../src/index.ts instead of internal paths (../../src/types.ts, ../../src/window/index.ts)

The 377 warnings (cognitive complexity, parameter properties, namespace imports) are "warn"-level in biome.json and do not fail CI.

Commit: 31bbdde

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- src/stats/cut_bins_to_frame.ts: cutBinsToFrame (bin summary DataFrame),
  cutBinCounts (label→count dict), binEdges (edges-only DataFrame)
- src/stats/xs.ts: xsDataFrame / xsSeries — pandas .xs() cross-section
  selection, flat and MultiIndex, axis=0/1, level targeting, dropLevel control
- Full test suites with property-based tests via fast-check
- Playground pages for both features

Metric: 113 (+2)
Run: https://github.com/githubnext/tsessebe/actions/runs/24753646544

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Commit pushed: faff3e7

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…runcateSeries/DataFrame

- Fix src/stats/xs.ts: Index<Label> uses .size not .length
- Fix tests/io/to_json_normalize.test.ts: x[i]! / y[i]! for noUncheckedIndexedAccess
- Fix tests/stats/cut_bins_to_frame.test.ts: spread readonly string[] for toEqual
- Fix tests/stats/str_findall.test.ts: df.columns.values instead of df.columns
- Fix tests/stats/xs.test.ts: Series<Scalar> instead of Series<unknown>
- src/stats/swaplevel.ts: swapLevelSeries, swapLevelDataFrame,
  reorderLevelsSeries, reorderLevelsDataFrame (pandas swaplevel/reorder_levels)
- src/stats/truncate.ts: truncateSeries, truncateDataFrame (pandas truncate)
- Full test suites with property-based tests via fast-check
- Playground pages for both features

Metric: 117 (+2)
Run: https://github.com/githubnext/tsessebe/actions/runs/24761017221

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Commit pushed: f7c2b76

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…rDataFrame/filterSeries

- src/stats/between.ts: seriesBetween — element-wise range check (pandas Series.between)
  with inclusive='both'|'left'|'right'|'neither' support
- src/stats/update.ts: seriesUpdate, dataFrameUpdate — update from another object
  using label alignment, respecting overwrite/errors options (pandas DataFrame.update)
- src/stats/filter_labels.ts: filterDataFrame, filterSeries — filter by items/like/regex
  on rows or columns (pandas DataFrame.filter)
- Comprehensive tests (unit + property-based via fast-check) for all three features
- Playground pages: between.html, update.html, filter.html

Metric: 118 (+3 files from branch baseline 115)
Run: https://github.com/githubnext/tsessebe/actions/runs/24762480645

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Commit pushed: 5e43710

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🟢 Evergreen Fix: Biome Lint Errors Resolved

Investigated and fixed the failing Test & Lint CI check on PR #174.

Root Cause

The autoloop branch had introduced 64 biome lint errors (not warnings) across new and modified files:

  1. Format errors (majority of the 64 errors) — 54 files had formatting issues that biome check --write could auto-fix
  2. noParameterAssign errors in src/stats/eval_query.ts — 5 instances of reassigning function parameters (i++ inside lexNumber and lexIdent functions)
  3. noParameterProperties warnings in src/core/date_offset.ts — 11 classes using constructor(readonly n = 1) shorthand (these were warnings, not errors, but fixed for cleanliness)

Changes Made

  • src/core/date_offset.ts: Replaced constructor(readonly n = 1) parameter properties with explicit readonly n: number declarations
  • src/stats/eval_query.ts: Replaced parameter reassignment with local let pos = i variable in lexNumber and lexIdent
  • 54 other files: Auto-fixed formatting, import sorting, useImportType, useBlockStatements, useTemplate, and other fixable lint issues

Verification

biome check . now exits cleanly with 0 errors (476 warnings, which are expected — main branch also has warnings).

Commit: 030ff8b60546eac74cacb7b7b58789714ac99670

Generated by Evergreen — PR Health Keeper · ● 10M ·

- SeriesResampler: sum/mean/min/max/count/first/last/std/var/size/ohlc/agg
- DataFrameResampler: same methods (size returns Series, ohlc excluded)
- Factory fns: resampleSeries() and resampleDataFrame()
- 14 frequency strings: S, T/min, H, D, W/W-SUN…W-SAT, MS, ME, QS, QE, AS/YS, AE/YE
- Empty bin filling: 0 for count/size, NaN for numeric aggs
- Per-column agg spec in DataFrameResampler.agg()
- Property-based tests with fast-check + comprehensive unit tests
- Playground page with 6 interactive examples

Run: https://github.com/githubnext/tsessebe/actions/runs/24795318981

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Commit pushed: e9b8a04

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The resample feature uses Date objects as index labels, but the Label
type was missing Date. This caused TypeScript errors in resample.test.ts
where Date[] is passed to Index<Label> and Date values are cast from
Label (the .at() return type).

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Commit pushed: b1b36a5

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Evergreen Fix

Issue: TypeScript type errors in tests/stats/resample.test.tsDate was not assignable to Label.

Root cause: The Label type (number | string | boolean | null) did not include Date, but the resample feature's output index uses Date objects as labels. This caused ~40 TypeScript errors like:

  • Type 'Date' is not assignable to type 'Label'
  • Type 'Date[]' is not assignable to type 'Index<Label> | readonly Label[]'
  • Conversion of type 'string | number | boolean | null' to type 'Date' may be a mistake

Fix: Added Date to the Label type in src/types.ts:

export type Label = number | string | boolean | null | Date;

This is semantically correct since Date is a natural label type for time-series indexes (as the resample feature demonstrates).

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…ertIndexEqual)

Implements the pd.testing module with:
- assertSeriesEqual: deep equality check with dtype, index, name, NaN, and tolerance options
- assertFrameEqual: per-column deep equality with checkLike (column-order insensitive) mode
- assertIndexEqual: label-by-label Index comparison
- AssertionError: custom Error subclass with detailed diff messages

Run: https://github.com/githubnext/tsessebe/actions/runs/24814455663

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Commit pushed: 89ead04

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mrjf commented Apr 23, 2026

@copilot fix failing tests

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Copilot AI commented Apr 23, 2026

@copilot fix failing tests

Fixed in commits 02a6628 and cb651c2.

I investigated the failing CI run and fixed the typecheck failures in multi_index and resample, then re-ran targeted checks (typecheck, tests/core/multi_index.test.ts, tests/stats/resample.test.ts) successfully.

- Fix import restriction errors in tests (xs.test.ts, rolling_apply.test.ts)
- Fix formatting issues in testing.ts, testing.test.ts, resample.test.ts
- Fix organize imports in resample.ts, testing.ts, index.ts, stats/index.ts

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Commit pushed: f1b2497

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🤖 Evergreen: CI Fix Applied

Fixed 8 lint/format errors that were causing the Test & Lint check to fail:

Root cause: The CI previously failed at the typecheck stage (TS errors in multi_index.ts and resample.ts). Once those were fixed, the lint stage revealed pre-existing issues.

Fixes applied:

  • tests/stats/xs.test.ts — import xsDataFrame/xsSeries from ../../src/index.ts (was importing directly from submodule file)
  • tests/window/rolling_apply.test.ts — consolidated imports to ../../src/index.ts
  • tests/testing/testing.test.ts — fixed formatter issue (collapsed multi-line DataFrame.fromColumns calls)
  • src/stats/resample.ts — fixed import order + formatter (function signature wrapping)
  • src/testing/testing.ts — fixed import order + formatter
  • src/index.ts, src/stats/index.ts — fixed import ordering

Biome now passes with 0 errors (only warnings remain).


References: §24815624615

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mrjf commented Apr 23, 2026

@copilot fix test errors

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Copilot AI commented Apr 23, 2026

@copilot fix test errors

Fixed in commits 66f35cd, 77a3185, and b5bdc63.

I investigated the CI failures from the latest run, applied targeted fixes across merge/index handling and affected stats/testing paths, and re-ran bun test and bun run typecheck successfully.

Copilot finished work on behalf of mrjf April 23, 2026 04:47
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Commit pushed: b12febf

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Evergreen fix applied ✅

The CI was failing due to a formatting issue in tests/stats/corrwith.test.ts. Biome's formatter wanted to reformat a chained fc.integer(...).chain(...) call in a property-based test.

Root cause: biome check runs both lint and format checks. The formatter found 1 error — the fc.integer().chain() call had different indentation than biome's canonical form.

Fix: Applied biome format --write to tests/stats/corrwith.test.ts to bring it into conformance. The 509 remaining diagnostics are all warnings (not errors) and don't fail CI.

Commit: a3bccbb

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@mrjf mrjf merged commit e30e6a4 into main Apr 23, 2026
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