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Use assert_duckarray_allclose instead of rounding the array #9313

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merged 5 commits into from
Aug 6, 2024
Merged

Use assert_duckarray_allclose instead of rounding the array #9313

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e8e9cce
Cleanup test_coding_times
Illviljan Jul 9, 2024
1d6077e
Update test_coding_times.py
Illviljan Jul 9, 2024
4db0c4e
Merge branch 'main' into test_coding_times_cleanup
Illviljan Aug 4, 2024
c5a7d8a
Update test_coding_times.py
Illviljan Aug 4, 2024
82c6909
Update test_coding_times.py
Illviljan Aug 4, 2024
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4 changes: 2 additions & 2 deletions xarray/tests/test_coding_times.py
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Original file line number Diff line number Diff line change
Expand Up @@ -146,14 +146,14 @@ def test_cf_datetime(num_dates, units, calendar) -> None:
# https://github.com/Unidata/netcdf4-python/issues/355
assert (abs_diff <= np.timedelta64(1, "s")).all()
encoded1, _, _ = encode_cf_datetime(actual, units, calendar)
assert_array_equal(num_dates, np.around(encoded1, 1))
assert_duckarray_allclose(num_dates, encoded1)

if hasattr(num_dates, "ndim") and num_dates.ndim == 1 and "1000" not in units:
# verify that wrapping with a pandas.Index works
# note that it *does not* currently work to put
# non-datetime64 compatible dates into a pandas.Index
encoded2, _, _ = encode_cf_datetime(pd.Index(actual), units, calendar)
assert_array_equal(num_dates, np.around(encoded2, 1))
assert_duckarray_allclose(num_dates, encoded2)


@requires_cftime
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