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author | Sebastian Berg <sebastian@sipsolutions.net> | 2020-05-31 21:19:43 -0500 |
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committer | Sebastian Berg <sebastian@sipsolutions.net> | 2020-07-08 18:13:06 -0500 |
commit | 4a04e89615a81ccfdc37fdee0d1cb3bc9de1a04a (patch) | |
tree | 4ae8a0a97a206b527e64389971307c8e9a5443bf /numpy/array_api/tests/test_array_object.py | |
parent | 9ceeb97debefda7931ab8312d50f3cc4cb81c956 (diff) | |
download | numpy-4a04e89615a81ccfdc37fdee0d1cb3bc9de1a04a.tar.gz |
Add somewhat disgusting hacks for datetime support
The can guess the dtype unit for almost anything that looks like
a string (including numpy strings). So they support looking
at every array element very well (in order to find the correct
dtype).
We thus need two hacks to support them:
1. Ensure that any string-like object is directly handled by
the datetime (using is_known_scalar_type)
2. Have a string/bytes->datetime special case in the dtype from
array discovery path which should only special case `object`
arrays. (at least I would prefer that).
Diffstat (limited to 'numpy/array_api/tests/test_array_object.py')
0 files changed, 0 insertions, 0 deletions