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larray-project
larray
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Commits on Oct 7, 2026
DOC: add a Dependencies section at the end of the changelog template
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DOC: move dependency changes to their own section at the end of the 0.35.3 changelog
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DOC: only print axes in the CheckedSession doctest about extra axes
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MAINT: declare the minimum numpy and pandas versions actually supported
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TEST: make unsafe cast warning tests independent of the default integer type
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FIX: importing larray with pydantic 1 installed
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TEST: only expect the old pickled dtype warning for numpy 2.4.0 to 2.4.4
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MAINT: allow pandas 3.0 and numpy up to 2.5 in larrayenv
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FIX: convert array-like values before checking setitem dtype (see #1202)
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FIX: binary ops/setitem with same-shape anonymous wildcard axes arrays (fixes #1202)
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FIX: indexing an object axis array using an N-D array key (fixes #1203)
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bump version to 0.35.3-dev
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CLN: remove obsolete TODO
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DOC: fixed various spelling mistakes in comments & docstrings
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Commits on Apr 21, 2026
FIX: fix lint
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Commits on Apr 16, 2026
FIX: pydantic version requirement
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MAINT: pin pandas and numpy until we have a proper environment manager in place
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update release date for 0.35.2
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fetched editor changelog for 0.35.2
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bump version to 0.35.2
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DOC: no changes for 0.35.2 for larray core
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bump version to 0.35.2-dev
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update release date for 0.35.1
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fetched editor changelog for 0.35.1
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bump version to 0.35.1
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Commits on Apr 14, 2026
TEST: make the test for issue #1187 less picky as the exact length can vary by platform
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FIX: make sure Dataframes with a DatetimeIndex come out as str labels as before (fixes #1187)
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FIX: Pandas Dataframes with mixed-type indexes come out as mixed-type labels axis (fixes #1193)
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DOC: fix type hint
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FIX: translating array keys on mixed type labels Axis (fixes #1194)
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CLN: remove unused code
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Commits on Apr 3, 2026
ENH: make sure files are properly closed even when an Exception is raised during load
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FIX: rewrite Numpy 2.4 deprecation warning when loading old H5 files (fixes #1178)
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TEST: move code around so that we can save the same h5 file only once
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TEST: improve error message when a test outputs more warnings than expected
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