⚠️ Nightly upstream-dev CI failed ⚠️

[github-actions]

Workflow Run URL

Python 3.12 Test Summary

xarray/tests/test_backends.py::TestH5NetCDFData::test_complex_error[None]: Failed: DID NOT RAISE <class 'h5netcdf.core.CompatibilityError'>
xarray/tests/test_backends.py::TestH5NetCDFData::test_complex_error[False]: Failed: DID NOT RAISE <class 'h5netcdf.core.CompatibilityError'>
xarray/tests/test_backends.py::TestH5NetCDFFileObject::test_complex_error[None]: Failed: DID NOT RAISE <class 'h5netcdf.core.CompatibilityError'>
xarray/tests/test_backends.py::TestH5NetCDFFileObject::test_complex_error[False]: Failed: DID NOT RAISE <class 'h5netcdf.core.CompatibilityError'>
xarray/tests/test_backends.py::TestH5NetCDFViaDaskData::test_complex_error[None]: Failed: DID NOT RAISE <class 'h5netcdf.core.CompatibilityError'>
xarray/tests/test_backends.py::TestH5NetCDFViaDaskData::test_complex_error[False]: Failed: DID NOT RAISE <class 'h5netcdf.core.CompatibilityError'>
xarray/tests/test_groupby.py::test_gappy_resample_reductions[any]: IndexError: bool index 1 has shape (11,) instead of (13,)
xarray/tests/test_groupby.py::test_gappy_resample_reductions[all]: IndexError: bool index 1 has shape (11,) instead of (13,)
xarray/tests/test_groupby.py::test_gappy_resample_reductions[count]: IndexError: bool index 1 has shape (11,) instead of (13,)

[dcherian]

Lots of failures!

[spencerkclark]

The failures below all happen to be fixed by #9403 (see for example this upstream CI run):

xarray/tests/test_variable.py::TestVariable::test_datetime64_conversion_scalar: AssertionError: assert dtype('<M8[D]') == dtype('<M8[ns]')
 +  where dtype('<M8[D]') = <xarray.Variable ()> Size: 8B\nnp.datetime64('2000-01-01').dtype
 +  and   dtype('<M8[ns]') = <class 'numpy.dtype'>('datetime64[ns]')
 +    where <class 'numpy.dtype'> = np.dtype
xarray/tests/test_variable.py::TestVariable::test_timedelta64_conversion_scalar: AssertionError: assert dtype('<m8[D]') == dtype('<m8[ns]')
 +  where dtype('<m8[D]') = <xarray.Variable ()> Size: 8B\nnp.timedelta64(1,'D').dtype
 +  and   dtype('<m8[ns]') = <class 'numpy.dtype'>('timedelta64[ns]')
 +    where <class 'numpy.dtype'> = np.dtype
xarray/tests/test_variable.py::TestVariable::test_0d_timedelta: AssertionError: assert dtype('<m8[s]') == dtype('<m8[ns]')
 +  where dtype('<m8[s]') = <xarray.Variable ()> Size: 8B\nnp.timedelta64(1,'s').dtype
 +  and   dtype('<m8[ns]') = <class 'numpy.dtype'>('timedelta64[ns]')
 +    where <class 'numpy.dtype'> = np.dtype
xarray/tests/test_variable.py::TestVariable::test_index_0d_numpy_string: TypeError: byte indices must be integers or slices, not tuple
xarray/tests/test_variable.py::TestAsCompatibleData::test_datetime: AssertionError: assert <class 'numpy.ndarray'> is <class 'numpy.datetime64'>
 +  where <class 'numpy.ndarray'> = np.ndarray
 +  and   <class 'numpy.datetime64'> = type(np.datetime64('2000-01-01'))
xarray/tests/test_variable.py::test_datetime_conversion_warning[2000-01-01T00:00:00-True]: Failed: DID NOT WARN. No warnings of type (<class 'UserWarning'>,) were emitted.
 Emitted warnings: [].
xarray/tests/test_variable.py::test_timedelta_conversion_warning[10 seconds-True]: Failed: DID NOT WARN. No warnings of type (<class 'UserWarning'>,) were emitted.
 Emitted warnings: [].

[kmuehlbauer]

New h5netcdf errors are due to upstream changes. I'll fix this as soon as possible.

Update: #9509

[keewis]

@dcherian, there's a new groupby failure:

xarray/tests/test_groupby.py::test_gappy_resample_reductions[any]: IndexError: bool index 1 has shape (11,) instead of (13,)

Do you have any idea about what could cause this?