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| author | Jonathan Helmus <jjhelmus@gmail.com> | 2017-03-30 12:43:35 -0500 |
|---|---|---|
| committer | Jonathan Helmus <jjhelmus@gmail.com> | 2017-03-30 12:43:35 -0500 |
| commit | 0724f58bf999f844930a0b49dba449e0f12e5bd6 (patch) | |
| tree | 284d0287fb2e4df34b1b597047750b4847fc406b /numpy/lib/shape_base.py | |
| parent | ee6780faf1308f2e0e8cb056f5a4ad5c89aaf191 (diff) | |
| download | numpy-0724f58bf999f844930a0b49dba449e0f12e5bd6.tar.gz | |
TST: Use explicit NaT in test_structure_format
Using np.nan to fill a datetime64 array with NaT depends on the undefined
behavior of a float64 to int64 cast, which may have different behaviors
on non-x64 platforms. See #8325. For this reason np.datetime64('NaT')
should be used fill or set datetime64 arrays with NaT.
Diffstat (limited to 'numpy/lib/shape_base.py')
0 files changed, 0 insertions, 0 deletions