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ignore h5py 2.10.0 warnings and fix invalid_netcdf warning test. #3301

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merged 6 commits into from
Sep 13, 2019
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ignore h5py 2.10.0 warnings and fix invalid_netcdf warning test. #3301

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49ee573
ignore h5py 2.10.0 warnings and fix invalid_netcdf warning test.
dcherian Sep 11, 2019
ce4596d
Better fix.
dcherian Sep 12, 2019
e82decc
fix fix.
dcherian Sep 12, 2019
c2c10da
remove comment.
dcherian Sep 12, 2019
14ae0b1
Add docs.
dcherian Sep 12, 2019
fd31618
Revert "Add docs."
dcherian Sep 12, 2019
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5 changes: 4 additions & 1 deletion xarray/tests/test_backends.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2163,6 +2163,7 @@ def test_encoding_unlimited_dims(self):

@requires_h5netcdf
@requires_netCDF4
@pytest.mark.filterwarnings("ignore:use make_scale(name) instead")
class TestH5NetCDFData(NetCDF4Base):
engine = "h5netcdf"

Expand All @@ -2171,10 +2172,11 @@ def create_store(self):
with create_tmp_file() as tmp_file:
yield backends.H5NetCDFStore(tmp_file, "w")

# TODO: Reduce num_warns by 1 when h5netcdf is updated to not issue the make_scale warning
@pytest.mark.filterwarnings("ignore:complex dtypes are supported by h5py")
@pytest.mark.parametrize(
"invalid_netcdf, warns, num_warns",
[(None, FutureWarning, 1), (False, FutureWarning, 1), (True, None, 0)],
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Maybe we could just remove the assert len(record) == num_warns line below? I think pytest already verifies that we get a warning with pytest.warns.

We can use the match argument if we want to keep it more specific: https://docs.pytest.org/en/latest/warnings.html#warns

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I think the complication is testing that the warning is not raised when invalid_netcdf=True. I've changed it to count the number of warnings with the specified warning type and message so that it's more robust.

[(None, FutureWarning, 2), (False, FutureWarning, 2), (True, None, 1)],
)
def test_complex(self, invalid_netcdf, warns, num_warns):
expected = Dataset({"x": ("y", np.ones(5) + 1j * np.ones(5))})
Expand Down Expand Up @@ -2451,6 +2453,7 @@ def skip_if_not_engine(engine):


@requires_dask
@pytest.mark.filterwarnings("ignore:use make_scale(name) instead")
def test_open_mfdataset_manyfiles(
readengine, nfiles, parallel, chunks, file_cache_maxsize
):
Expand Down