Add a dtype check for numpy arrays in assert_equal #158
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Illviljan
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Thanks. A large number of failures here will just be adding the right dtype to |
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Feel free to push to this PR if you see immediately what needs to be done. :) |
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not too bad! |
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Nice! I'll stop going down the typing rabbit hole here. There's some issues with |
dcherian
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Oct 9, 2022
* main: Add a dtype check for numpy arrays in assert_equal (#158)
dcherian
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Oct 17, 2022
* main: (29 commits) Major fix to subset_to_blocks (#173) Performance improvements for cohorts detection (#172) Remove split_out (#170) Deprecate resample_reduce (#169) More efficient cohorts. (#165) Allow specifying output dtype (#131) Add a dtype check for numpy arrays in assert_equal (#158) Update ci-additional.yaml (#167) Refactor before redoing cohorts (#164) Fix mypy errors in core.py (#150) Add link to numpy_groupies (#160) Bump codecov/codecov-action from 3.1.0 to 3.1.1 (#159) Use math.prod instead of np.prod (#157) Remove None output from _get_expected_groups (#152) Fix mypy errors in xarray.py, xrutils.py, cache.py (#144) Raise error if multiple by's are used with Ellipsis (#149) pre-commit autoupdate (#148) Add mypy ignores (#146) Get pre commit bot to update (#145) Remove duplicate examples headers (#147) ...
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Check taken from:
da.utils.assert_eq(a, b, equal_nan=True)