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| author | Miles Cranmer <miles.cranmer@gmail.com> | 2022-06-29 17:49:50 -0400 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-06-29 14:49:50 -0700 |
| commit | f9bed20bffd88bce06dbc8be200179edfe7580a4 (patch) | |
| tree | 811c7302e39860f5731f315882f09631ff9b550e /numpy/array_api/_array_object.py | |
| parent | 10f0e0ad0f8b5bbc58cbc45623cc7f4f80eaba3b (diff) | |
| download | numpy-f9bed20bffd88bce06dbc8be200179edfe7580a4.tar.gz | |
BUG: Fix numpy.isin for timedelta dtype (#21860)
This PR fixes the issue discussed on #12065 and #21843 where 'timedelta64' was noted to be a subtype of numpy.integer. This in principle should detect any cases where int(np.min(ar2)) fails. This PR also adds unittests for these.
* TST: Create in1d test for timedelta input
* MAINT: fix in1d for timedelta input
* TST: in1d raise ValueError for timedelta input
* MAINT: Clean up type checking for isin kind="table"
* TST: Add test for mixed boolean/integer in1d
* MAINT: Increase readability of in1d type checking
* STY: Apply small code style tweaks
This is probably really mainly my personal opinion...
Co-authored-by: Sebastian Berg <sebastian@sipsolutions.net>
Diffstat (limited to 'numpy/array_api/_array_object.py')
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