feat(dataset): add reactive numeric range editors - #114
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Add layout-scoped sliders for bounded numeric items while preserving exact text input and explicitly configured slider behavior.
This was referenced Sep 10, 2026
PierreRaybaut
marked this pull request as ready for review
September 10, 2026 07:33
ThomasMalletCodra
self-requested a review
September 10, 2026 12:44
…on, add release notes Address pre-review findings on feat/automatic-dataset-sliders: * HistogramRangeItem: align docstring and reference doc with the actual rendering behavior — bins are always drawn uniformly across `domain`; non-uniform `bin_edges` were documented but never consumed by `_HistogramCanvas.paintEvent`. Drop the fictive key from the two test fixtures that referenced it. * conv.py: document the `data.transient` exclusion from JSON/dict serialization introduced by HistogramRangeItem. * Add `test_histogram_range_canvas_paints_every_branch`, covering `_HistogramCanvas.paintEvent` for both presentations and three payload shapes (normal, empty selection, inverted domain). Raises guidata/dataset/qtitemwidgets.py coverage from 81% to 84%. * Add missing docstrings on test_loadsave_json.py (Pylint C0115/C0116). * Add `# guitest: show` demo entry points to test_auto_sliders.py and test_histogram_range_item.py for manual visual validation via `python -m guidata.tests`. * Add release notes for 3.16.0 (auto_sliders, HistogramRangeItem).
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Summary
HistogramRangeItemwith generic range and brightness/contrast presentations, JSON Schema metadata, serialization behavior, and Qt editors.Integration
This is the foundation of a coordinated guidata → Sigima → DataLab feature stack.
Downstream PRs:
Before merge
Validation
Focused dataset and widget tests: 220 passed, 2 skipped.