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Fix 1.1 release audit findings and complete documentation follow-ups - #286
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September 6, 2026 03:36
…coring loops The ultrareview of PR #286 flagged both 'from .common import ...' lines as loop-body imports with no circular-import reason (common.py does not import backtest.py). Module-scope imports match every sibling module. Co-Authored-By: Claude Fable 5.1 <[email protected]>
…e, attribute the unscored warning, score ragged return_score input Release-review findings on the 1.1 draft: - resolve_metrics() now raises ValueError naming a metric listed twice (case-insensitively) instead of a TypeError deep in build_scores(), for both predict(holdout=) and impute(truth=). - holdout=True with t=0 reports t=0 as the problem. - the 'left N scored value(s) missing' warning uses external_stacklevel() like every other user-facing warning in these modules. - align(return_score=True) works on ragged input that align() trims; the 'before' score is computed on the row-trimmed input (documented). Seven regression tests, each failing on the unfixed library. Also: RELEASE_CHECKLIST.md rewritten for the 1.1.0 re-cut (tag exists as a draft and must be moved; gallery namespace is republished wholesale; the example smoke gate is a manual step), and the session note for this review. Co-Authored-By: Claude Fable 5.1 <[email protected]>
…al observables; export HypertoolsOfflineError - tests/predict/test_common.py: the all-identical-timestamps case is proven to come from the live _infer_step via the exception's own traceback and message, not a monkeypatched spy. - tests/predict/test_predict_multiindex.py: grouping helpers are checked through their real outputs and the returned per-group models, not by wrapping them with observers. - tests/test_names_display.py: notebook display timing is observed on a real in-process IPython.InteractiveShell with the json renderer captured through IPython's own capture_output; go.Figure.show is no longer patched. - HypertoolsOfflineError is importable from hypertools and hypertools.io like the other three exceptions (public-API pin test updated). - scripts/generate_baseline_screenshots.py points at the roadmap note that exists; trailing whitespace stripped from six tracked files so 'git diff --check v1.0.0..HEAD' is clean. Co-Authored-By: Claude Fable 5.1 <[email protected]>
…defect markers, allowlist the deliberate ax= demos, gate the rebuilt tutorials' output cells Issue #284 claimed the DEFECT_MARKERS scan was tightened with a per-file allowlist for deliberate ax= demos and that every tutorial's measured output cells were recorded; the release review found the scan covered only the six launch scripts and six launch notebooks. - scan_for_defects(root) walks all 51 examples and every non-install code cell of all 25 tutorials (install cells hold the legitimate find_spec('hypertools') guard); a planted-marker test proves it. - new ax= marker (hand-built axes, raw ax.plot/scatter, plt.subplots) with a counted DEFECT_ALLOWLIST so a new use in an allowlisted file still fails and a stale entry is reported. - EXPECTED_VISIBLE_OUTPUTS gains the eight rebuilt tutorials; the ran-every-cell / right-cells / no-error-output tests cover all 14. Co-Authored-By: Claude Fable 5.1 <[email protected]>
…le, colour, loader and text paths
Plot (22 findings, 53 regression tests):
- palette= lists shorter than the dataset count cycle again with no hue
(1.0 behaviour); empty palettes raise ValueError, not StopIteration;
per-dataset {category: color} dict entries merge by name; NaN in a
continuous hue no longer poisons the colour range; legend_kwargs
fontsize is honoured with font=; blend categories are RGB.
- dataset_fade= and on_frame artist mutations reach the LineCollections
drawn under a continuous hue; loop=True accepts the documented
2(n+1)-1 rotations list; companion= panels and {index} titles advance
monotonically under order='serial'; window_bounds.start reflects the
comet-head window; bad companion=/dataset_fade= values name the kwarg;
a raising on_frame during .save() surfaces its own exception; a raising
title= leaves no orphaned animation.
- title_wrap= applies to dynamic titles and keeps explicit newlines;
plotly draws newline titles as line breaks and reserves top margin per
title line and size; nested tuple labels= annotate; bare-string labels,
bad label_anchor=, non-string title entries/callables, title_color vs
title_kwargs colour conflicts and bad {index} formats raise clearly.
IO / tools (10 findings):
- load(offline=True) opens no connection: URLs skip the seaborn listing,
the listing fetch has a timeout and a remembered failure, uncacheable
sources raise HypertoolsOfflineError.
- yahoo: bars carry the exchange-local trading day (gmtoffset applied).
- synthetic datasets accept RandomState, Generator, SeedSequence and
np.integer seeds everywhere; a reused SeedSequence is reproducible;
n_datasets rejects non-integral values; streaming=True on a
non-Hugging-Face source raises instead of returning everything.
- text2mat: a flat list of strings is one dataset (was [(N,d),(0,d),...]
since 1.0), ragged nested lists work, mixed inputs raise; a dict
semantic= spec with a gensim vectorizer warns and skips.
- text_windows accepts numpy integers.
- format_data warnings are attributed to the caller's line
(external_stacklevel), so notebooks stop printing the library path.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Manipulator.fit() and Aligner.fit() returned None, so Smooth().fit(x).transform(y) and HyperAlign().fit(xs).transform(ys) raised AttributeError; Imputer.fit() already returned self. Both now return the fitted instance on every path (documented), with a chaining test over Normalize/ZScore/Smooth/Resample/Delay, HyperAlign/Procrustes/ NullAlign and PPCA on real data. Co-Authored-By: Claude Fable 5.1 <[email protected]>
- CHANGELOG: 'Fixed during the release review' subsection (every fix
since the draft), predict(metrics=/per_column=/return_forecasts=),
impute(return_imputed=), load(**source_kwargs) documented; the
unsupported '138 examples executed' claim reworded to what the tests do.
- readme: dependency floors match pyproject exactly (pillow added);
'1.0 API' wording updated for 1.x.
- api.rst: HypertoolsOfflineError and HypertoolsTrustError listed with
their autosummary stubs.
- conf.py: gallery pages' furo view/edit links point at the source
example under examples/ (auto_examples/ is gitignored, so they 404'd);
stale chemtrails/precog comment fixed.
- tutorials.rst + market_sectors prose use model='HyperAlign' like the code.
- notebooks (sources only; re-executed separately): 'hyper' marked as a
deprecated alias (analyze, plot); Normalize(mode='isotropic') section
(manip); alignment illustration restored (align); legend= form for the
hue demo (text); hyp.load('wikipedia:...') replaces the wikipedia-api
cells (wikipedia_embeddings).
- scripts/execute_tutorial.py scrubs the executing user's home directory
from stored outputs so notebooks stop leaking developer paths.
- tests/AGENTS.md no longer claims the hierarchy guide's doctests run in
the suite; hypertools/io/lsl.py numpydoc underline fixed.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
… into the summary so numpydoc stops warning Co-Authored-By: Claude Fable 5.1 <[email protected]>
…gs from the 1.1 release review - forecasters carry min_history (ARIMA from its order); fit raises a clear ValueError on a shorter history; the animated forecast schedule waits for enough revealed rows, so predict='ARIMA' (and model lists) no longer crash under animate= with a statsmodels IndexError. - a datetime-like t= works inside hyp.plot; predict= collections work on MultiIndex frames; dated column-MultiIndex frames draw dates for every leaf under ndims=1; forecast_hue= is one value per dataset with a model collection; series-mode bundles match hyp.predict's shape. - panels=: predict+truth in both panel_fit modes; shared mode keeps DataFrame index/column names and accepts 3-column frames; nested hue=/ labels= narrow per panel; ndims>3 draws 3-D panels; save_path is normalised and validated up front; plotly panels use the one-shot display wrapper. - ndims=1: per-column fmt lists; date-aware xlim on both backends; no 'dataset 1' y label; a 3-D ax= with ndims<=2 raises; TimedeltaIndex is drawn in a readable unit. - a trailing Smooth(center=False) that introduces NaN rows is reported as such with the min_periods=1 hint. - docstrings: font= weights, HyperAnimation.drawn_extent/.save. - CHANGELOG entries for all of the above. Co-Authored-By: Claude Fable 5.1 <[email protected]>
…d library; gate and test updates analyze, plot, manip, align, text, wikipedia_embeddings, projectile_kalman and conversation_trajectories re-executed with scripts/execute_tutorial.py (home directory scrubbed from stored outputs; no /Users/ path remains in any tutorial). manip's output-cell gate entry gains the new isotropic Normalize cell; the nested-hue length test asserts the new message that names the offending sub-list; tests/test_load_offline.py loses a trailing blank line. Full suite before these two test updates: 5171 passed, 2 failed (these two), 19 skipped. Co-Authored-By: Claude Fable 5.1 <[email protected]>
…xecuted notebook Co-Authored-By: Claude Fable 5.1 <[email protected]>
…ation) Co-Authored-By: Claude Fable 5.1 <[email protected]>
…ates Windows' transient access-denied Every Windows job on PR #286 (run 34014888620) failed on the same ten tests: the widened native-usage scanner compared 'docs\tutorials\x' against its forward-slash allowlist and roster, and the URL cache's os.replace raised PermissionError (WinError 5) when twelve threads replaced one entry at once. The scanner now reports POSIX-separated relative paths on every host; the cache retries the rename briefly and accepts a concurrent writer's identical file. macOS and Linux jobs were green on the same commit. Co-Authored-By: Claude Fable 5.1 <[email protected]>
… (Windows paths, Windows os.replace, detached verification pipeline) Co-Authored-By: Claude Fable 5.1 <[email protected]>
39 tasks done
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Second review pass on this branch (2026-09-06): the cloud ultrareview of the PR diff, then nine local reviewers over the full
Local verification on the final library: full suite 5171 passed / 0 failed (after the two stale expectations were updated), ruff clean, After merge the release is re-cut from the merge commit; RELEASE_CHECKLIST.md now describes moving the draft tag, republishing the gallery namespace and replacing the draft release assets. |
38 tasks done
Co-Authored-By: Claude Fable 5.1 <[email protected]>
The matplotlib backend draws 's--' as a smoothed line artist (which carries the legend label) plus a markers-only artist at the raw sample points labelled _nolegend_, so the legend handle showed only the dashes (reported from the 1.1 feature tour, section 9.2). The line artist now carries the marker with markevery=[]: its legend handle shows marker and line while it still draws no markers along the interpolated vertices. Pixel-level regression test in tests/test_plot_fmt_split_legend.py. Co-Authored-By: Claude Fable 5.1 <[email protected]>
…data) Co-Authored-By: Claude Fable 5.1 <[email protected]>
…it under return_model, quiet third-party reducer warnings Reported from the 1.1 feature tour (section 9.8): a three-panel grid came out 2x2 with a hole and, in a 9x3.2 in figure, each square 3-D axes shrank to the short cell height; the cell also printed fifteen warnings. - panels=True picks the grid from the figure's aspect ratio and prefers a grid with no spare cell (three panels form a row; four 2x2; six 2x3; five still 2x3 with one hidden cell). Explicit grids are unchanged. - return_model=True reuses the pipeline analyze() fitted for the figure (the cluster stage, which runs on the reduced scores, is appended as a fitted step) instead of refitting every stage, so a UMAP/Isomap plot, and every panel grid built with it, fits and warns once. - a seeded UMAP passes the n_jobs=1 umap forces anyway, so umap stops warning about a seed hypertools injected; a caller's own n_jobs= still reaches umap (and its warning). - Isomap fits silence scipy's SparseEfficiencyWarning burst from sklearn's internal graph completion; sklearn's own connected-components data warning still reaches the user. Seventeen new tests; two older panel tests updated to the new grid rule (the hidden-spare property now covered with five panels). Co-Authored-By: Claude Fable 5.1 <[email protected]>
Co-Authored-By: Claude Fable 5.1 <[email protected]>
…pan the whole scene - The truth curve keeps marker='o' with markevery=[] so its 'truth' legend entry is line + marker, no longer identical to the observed trace's entry (feature tour 9.11). - New density.scene_bounds_2d: every 2-D KDE grid covers all datasets' padded bounds plus the unit frame square, on both backends, so a wide flat cloud's glow fades out instead of stopping in a hard band inside the frame (feature tour 9.14). - Tests for both; projectile_kalman and stock_forecasting tutorials re-executed (truth= legends), which also refreshed the stock snapshot CSVs by one trading day as the notebook is designed to. Co-Authored-By: Claude Fable 5.1 <[email protected]>
…+ ax=<cell>, per-panel colorbars on matplotlib - plotly_backend.transplant_panel moves a drawn single-axes figure into a make_subplots cell whole: traces, the 2-D axis layout (unit frame, hidden ticks, DataFrame-column labels, or axis_scale='data' axes), the frame square and labels= annotations re-referenced to the cell, its own legend (plotly multiple legends) and its own colorbar beside the cell; 3-D cells back the camera off so the cube stays inside a narrow cell. - make_panel_grid reserves a gutter beside every cell for those legends and colorbars (default-sized grids widen by it; explicit size= verbatim). - hyp.subplots(backend='plotly') returns the grid figure plus PlotlyCell handles that hyp.plot(..., ax=cell) draws into (title= becomes the cell title); several cell calls display the grid once per notebook cell. - matplotlib: a colorbar drawn into a caller-supplied ax= (every panels= cell, every hyp.subplots axes) uses fig.colorbar(ax=...) instead of the figure-widening placement, so panels no longer stack their colorbars over the last panel or trip tight_layout warnings. - Tests: tests/test_subplots_plotly.py (new), 11 more in tests/test_plot_panels.py. CHANGELOG entries; RELEASE_CHECKLIST.md brought up to date (suite size, Colab tour smoke, announce step). Co-Authored-By: Claude Fable 5.1 <[email protected]>
…id resolution, sparse ARIMA orders, plotly panel titles/fonts/left colorbars - panels= on matplotlib under an active plotly preference built its grid with subplots()' new backend='auto' default; the grid is now explicitly matplotlib. - 2-D density grids pad by four kernel widths past the data instead of spanning the whole scene: the glow still fades out inside the grid, and a small cloud beside a 10,000x larger one keeps its resolution (the scene-wide grid sampled it to all zeros). - ARIMA.min_history_for accepts statsmodels' sparse lag orders (order=([1, 3], 0, 0)), counting the highest lag, as the fitter does. - plotly panels: titles go through the single-axes title path (newlines, title_wrap=, title_kwargs=) and become cell annotations; the panel's font= travels with its legend and becomes the grid default; a location='left' colorbar stays on the cell's left; drawing into a 3-D cell twice keeps the earlier labels= annotations. - Tests for each; a rendered-grid test now checks ink in both cells. Co-Authored-By: Claude Fable 5.1 <[email protected]>
…ly cell title placement/replacement, per-cell fonts - predict_new only holds the refit path to the fit-time minimum history; a model with an applier (ARIMA) reuses its learned parameters on any context the new data offers. - plotly cells: the title annotation follows the title's own x/y/anchors mapped into the cell, is replaced (not stacked) when the cell is drawn into again, and reserves the multi-line top margin the single-axes path computed; the panel's font= is materialized on the cell's legend, title, axis titles/ticks and colorbar under explicit overrides. Co-Authored-By: Claude Fable 5.1 <[email protected]>
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Co-Authored-By: Claude Opus 5.5 <[email protected]>
…t doesn't throw Colab attaches its interactive-table script to every displayed DataFrame; a second one in the same output redeclares const buttonEl and throws a SyntaxError in the console (IMP-score and the results summary). Co-Authored-By: Claude Opus 5.5 <[email protected]>
Co-Authored-By: Claude Opus 5.5 <[email protected]>
…writes frames.json Closing the last window could end the Qt loop before the frame index was written. Pointer positions let a caption pass draw the mouse, which a window grab does not include. Co-Authored-By: Claude Opus 5.5 <[email protected]>
Read the Docs writes HTML to $READTHEDOCS_OUTPUT/html, but post_build looked for _images directly under $READTHEDOCS_OUTPUT, so the variable never matched; RTD builds only worked through the <checkout>/_readthedocs/html path guess. Found by building the docs the RTD way into another output directory. Co-Authored-By: Claude Opus 5.5 <[email protected]>
…utputs, dark theme, phone width, console errors) - gallery cards: the title is a visible link to the example page and the whole card is clickable (custom.css hid the only such link); thumbnail still opens the notebook on Colab; one theme-coloured tooltip, not two - each animation is scraped once (docs/_gallery_scrapers.py): animate and animate_trails showed 5 videos for 2 plots, five other pages 2 for 1 - plotly figures are no longer repeated through capture_repr - card/tooltip/link-hover colours follow furo's light and dark themes - plotly figures refit to the column on narrow screens - post_build strips plotly's dead CDN module import and MathJax 2 script from notebook pages, and RST markup from gallery tooltips - hide sphinx_gallery config comments; filter the explore-mode backend warning in the gallery build only - API page titles keep their case under the lowercase heading style Co-Authored-By: Claude Opus 5.5 <[email protected]>
… an ERROR box) Co-Authored-By: Claude Opus 5.5 <[email protected]>
…pages Returns blocks of predict/impute/manip/apply_model were wrapped prose that numpydoc parsed line by line as item names; they are now a named item with the prose as its description. Inline literals are out of parameter-name lines and bold spans (plot, predict, impute), and backticks no longer sit against ~ or a trailing letter (lsl, text_windows). The slow_warning_seconds sentinel is an instance of a private class whose repr is <default>, so the plot signature no longer shows <object object>; identity checks unchanged. Co-Authored-By: Claude Opus 5.5 <[email protected]>
scripts/scan_api_markup_leaks.py reads built HTML and reports literal backticks, :role: syntax and ** pairs in body text, numpydoc items that are wrapped prose, and opaque signature defaults. tests/test_api_docs_markup.py builds docs/api.rst with autodoc + numpydoc + autosummary (about 7 s) and requires a clean scan, plus a control build proving each kind is detected. Co-Authored-By: Claude Opus 5.5 <[email protected]>
…ibutes table per class - post_build moves each tutorial's leading install cell below its title, in a collapsed <details>; nbsphinx rendered 15 lines of setup code above the heading on 23 pages. Notebooks are unchanged. - numpydoc_show_class_members = False: the autosummary class stubs already list methods and attributes, so every class page showed both tables twice. - The FrameContext and LSLStream stubs are committed as autosummary writes them, so a docs build no longer leaves them modified. Co-Authored-By: Claude Opus 5.5 <[email protected]>
Co-Authored-By: Claude Opus 5.5 <[email protected]>
…etched to 400) Co-Authored-By: Claude Opus 5.5 <[email protected]>
Co-Authored-By: Claude Opus 5.5 <[email protected]>
…notes; bring the notes up to date The release-notes draft now links CHANGELOG.md near the top and wherever it cites a changelog section, and covers the review-period changes it predated: describe's mean-of-curves average and show=False figure, animated truth reveal and forecast anchoring, default forecast group colours, data-scale axes without gridlines, the raised dependency floors (and the corrected scikit-image floor), and a summary of the plotly, surface, animation, forecasting and explore fixes. Co-Authored-By: Claude Opus 5.5 <[email protected]>
…ne works on hyp.Pipeline; isotropic docstring describe(): a configured instance (PCA(n_components=2)), a dict spec that pins n_components, and a fitted reducer were all evaluated at that one dimensionality for every sweep point. The sweep's dimensionality now wins: unfitted instances are cloned per point with n_components set, pinned kwargs are dropped, and a fitted model or an instance with no n_components raises a ValueError saying what to pass instead. Pipeline: __sklearn_clone__ returns an unfitted, independent copy (nested and dispatcher pipelines included); set_params(steps=...) resolves and names steps like the constructor. apply_model(stack=False) with a Pipeline now returns one fitted pipeline per dataset. Normalize(mode='isotropic'): the scale depends on orientation, so a rotated copy generally gets a different scalar (docstring only). Co-Authored-By: Claude Opus 5.5 <[email protected]>
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Release red-team 2026-10-09. (1) build_scores picked attrs['best'] by lowest score regardless of coverage, so a model that left values NaN could win on the easy ones; only models with unscored == 0 are ranked now, incomplete rows are listed in attrs['incomplete'], and best/beats_baseline are None when no model (or the baseline) is complete. (2) hyp.impute(truth=, mask=) compared labelled frames by position; they are aligned to the data by label and mismatched or ambiguous labels raise. Backtests pair forecast and held-out columns by label too. Docstrings, CHANGELOG and the stock tutorial verdict cell updated. Co-Authored-By: Claude Opus 5.5 <[email protected]>
lazy_import returned whatever imported. With plotly 5.24.1 beside kaleido 1.3.0 (plotly>=6.1.1 is declared) a plotly static export failed with plotly's 'requires the kaleido package' although kaleido was installed (release red-team review 2026-10-09). Every requirement of the extra is now checked against the installed metadata, once per process. A distribution below its floor is upgraded through the same pip call while it is not imported yet; if it is already imported, or installation is off, ImportError names the installed version, the requirement and the command. resolve_backend asks lazy_import before anything imports plotly, and backend='auto' falls back to matplotlib with a warning. The low-level render check reports a plotly/kaleido mismatch as such. Co-Authored-By: Claude Opus 5.5 <[email protected]>
…mes a stale candidate notebook Co-Authored-By: Claude Opus 5.5 <[email protected]>
tests/test_datatype_gate.py refuses direct isinstance(x, pd.DataFrame/Series) checks outside the coercion layer; the new label-alignment code had four. Co-Authored-By: Claude Opus 5.5 <[email protected]>
stock_forecasting (its verdict cell now handles a None verdict), projectile_kalman, reduce and pipelines; outputs only, plus the stock caches' rolling window. Co-Authored-By: Claude Opus 5.5 <[email protected]>
…nswers Kaleido's own timeout does not always fire: on a hosted ubuntu job the NO_BROWSER test sat for the caller's whole 120 s and failed with TimeoutExpired (the same test passed in seconds on 15 other jobs). The script now ends the export at its own deadline with NO_BROWSER_EXIT, since a browser that never answers is no usable browser. New test drives it with a real executable that stays alive and answers nothing. Also records the datatype-gate lesson. Co-Authored-By: Claude Opus 5.5 <[email protected]>
Co-Authored-By: Claude Opus 5.5 <[email protected]>
The 1.1.0 draft was dated 2026-09-04; the release is re-cut from this commit after the pre-publication review. Checklist step 2: notebooks already in release form (migrator no-op, 76 of 76), README images on the v1.1.0 tag (8), release-file gates 23 passed. Co-Authored-By: Claude Opus 5.5 <[email protected]>
…hirtyEight loads A macOS runner could not resolve api.kaggle.com and the test failed the job. It now uses tests/_netskip.skip_on_transient_network: an outage skips, a defect still fails, and HYPERTOOLS_REQUIRE_LIVE_SOURCES=1 (the live-source-gate job) skips nothing. Checked with a real connection failure through a dead proxy: skipped by default, failed under the gate. Co-Authored-By: Claude Opus 5.5 <[email protected]>
The NO_BROWSER test timed out twice on ubuntu 3.11 with nothing to go on: TimeoutExpired discarded the script's output. The script now prints its stage with a timestamp and dumps every thread's stack if it stalls, and the test puts that output in the failure. Co-Authored-By: Claude Opus 5.5 <[email protected]>
The ubuntu 3.11 timeout was not in the export at all. The stack dump shows the main thread in threading._shutdown: the script had already caught the browser failure and called sys.exit, and interpreter shutdown was waiting on choreographer's non-daemon worker threads, which a failed browser launch leaves blocked on a queue and a pipe read. They never end on Linux with Python 3.11. The script now flushes and leaves with os._exit once the verdict is decided; the watchdog writes with os.write for the same reason. Co-Authored-By: Claude Opus 5.5 <[email protected]>
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This PR carries the fixes from the pre-publication review of the 1.1.0 draft. The draft (
master== tagv1.1.0==96ac8b7f) was never published, so everything here ships in 1.1.0, and the release is re-cut from this branch's final commit.Closes #284.
Closes #285.
The reviewed candidate is
75d6c723.What changed
The full list is in
CHANGELOG.mdunder Fixed during the release review. In outline:hyp.impute(..., truth=)andhyp.predict(..., holdout=)rank complete models only. A model that left values unscored keeps its row, is listed inscores.attrs['incomplete'], and can no longer be namedbest.truth=andmask=DataFrames are matched to the data by label, and differing label sets raise. Backtests fit an independent copy of the model for each dataset, and scoring rejects models that are already fitted.truth=points appear as a forecast reaches them. Defaultforecast_hue=/forecast_cluster=colours no longer repeat the observed lines' colours.surface=takes its colour from the nearest points. Animated lines keep every observation. Morphs show their transition frames. Matplotlib data-scale axes draw no gridlines.explore=Truehover labels stay inside the window.hyp.describe.'average'is the mean of the per-dataset curves, with the stacked curve kept as'pooled'. A reducer instance is swept across dimensionalities instead of being evaluated at one.show=Falsereturns the figure.sklearn.base.cloneworks on ahyp.Pipeline. The market-sectors example reads Exxon Mobil's share history from 2009.The axis-centring change is deferred to 1.2 as #287.
Verification
75d6c723(run 37995131339): 12 test jobs (Linux, macOS and Windows on Python 3.10–3.13),docs-clean,wheel-smoke,dataset-gateandlive-source-gate.release-gateruns onmasterand tags only.e95777fb. The commits after it change no library code (one test script, two tests, the changelog date, the checklist and notes), and hosted CI ran the full suite at75d6c723.e95777fb75d6c723e95777fb, the last commit that changed library codeThe three skips are two remote-pickle sources, which are off by default, and the native GUI case, which was recorded and reviewed separately.
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