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Read strided categoricals, tuples, pandas 2 Series and reversed views in the pandas and numpy scans - #711
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Every CI test job exported the test group to a pylock.toml and installed it. uv.lock is untracked, so each job resolves afresh, and the pylock exporter downloads every wheel the index lists without a hash to compute one, for every platform of the universal resolution. The pytorch-cpu index lists torch 2.15.0's 36 wheels without hashes since this week; on 2026-10-28 four macOS Test abi3 jobs on #710, #711 and #723 died at the export, timing out on a Linux cp315 torch wheel, while every Linux and Windows job passed.
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A pandas 2 categorical read through a strided view (
df[::2],iloc[1::2]) returned the rows of the full column: the category scan stepped by element while the codes view had a stride (299 of 300 rows wrong with int16 codes). A tuple of arrays, a pandas 2 Series, a range or a set, and any reversed view (df[::-1]) raised a barestd::bad_cast, where 1.5.6 read the tuple and refused the rest with a clear error.