issues: 491898181

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491898181 MDU6SXNzdWU0OTE4OTgxODE= 3300 test for h5netcdf invalid_netcdf warning is failing 2448579 closed 0     0 2019-09-10T21:05:48Z 2019-09-13T15:39:41Z 2019-09-13T15:39:41Z MEMBER      

This passes locally with h5py==2.9.0 but the CI is running h5py==2.10.0. It's probably issuing an extra warning.

``` =================================== FAILURES =================================== ___ TestH5NetCDFData.test_complex[None-FutureWarning-1] ______

self = <xarray.tests.test_backends.TestH5NetCDFData object at 0x7f4509fac358> invalid_netcdf = None, warns = <class 'FutureWarning'>, num_warns = 1

@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)],
)
def test_complex(self, invalid_netcdf, warns, num_warns):
    expected = Dataset({"x": ("y", np.ones(5) + 1j * np.ones(5))})
    save_kwargs = {"invalid_netcdf": invalid_netcdf}
    with pytest.warns(warns) as record:
        with self.roundtrip(expected, save_kwargs=save_kwargs) as actual:
            assert_equal(expected, actual)

  assert len(record) == num_warns

E assert 2 == 1 E + where 2 = len(WarningsChecker(record=True))

xarray/tests/test_backends.py:2185: AssertionError ___ TestH5NetCDFData.test_complex[False-FutureWarning-1] _____

self = <xarray.tests.test_backends.TestH5NetCDFData object at 0x7f450a96c748> invalid_netcdf = False, warns = <class 'FutureWarning'>, num_warns = 1

@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)],
)
def test_complex(self, invalid_netcdf, warns, num_warns):
    expected = Dataset({"x": ("y", np.ones(5) + 1j * np.ones(5))})
    save_kwargs = {"invalid_netcdf": invalid_netcdf}
    with pytest.warns(warns) as record:
        with self.roundtrip(expected, save_kwargs=save_kwargs) as actual:
            assert_equal(expected, actual)

  assert len(record) == num_warns

E assert 2 == 1 E + where 2 = len(WarningsChecker(record=True))

xarray/tests/test_backends.py:2185: AssertionError ___ TestH5NetCDFData.testcomplex[True-None-0] ____

self = <xarray.tests.test_backends.TestH5NetCDFData object at 0x7f450aa69be0> invalid_netcdf = True, warns = None, num_warns = 0

@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)],
)
def test_complex(self, invalid_netcdf, warns, num_warns):
    expected = Dataset({"x": ("y", np.ones(5) + 1j * np.ones(5))})
    save_kwargs = {"invalid_netcdf": invalid_netcdf}
    with pytest.warns(warns) as record:
        with self.roundtrip(expected, save_kwargs=save_kwargs) as actual:
            assert_equal(expected, actual)

  assert len(record) == num_warns

E assert 1 == 0 E + where 1 = len(WarningsChecker(record=True))

xarray/tests/test_backends.py:2185: AssertionError _ TestH5NetCDFFileObject.testcomplex[None-FutureWarning-1] ___

self = <xarray.tests.test_backends.TestH5NetCDFFileObject object at 0x7f4509e1a8d0> invalid_netcdf = None, warns = <class 'FutureWarning'>, num_warns = 1

@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)],
)
def test_complex(self, invalid_netcdf, warns, num_warns):
    expected = Dataset({"x": ("y", np.ones(5) + 1j * np.ones(5))})
    save_kwargs = {"invalid_netcdf": invalid_netcdf}
    with pytest.warns(warns) as record:
        with self.roundtrip(expected, save_kwargs=save_kwargs) as actual:
            assert_equal(expected, actual)

  assert len(record) == num_warns

E assert 2 == 1 E + where 2 = len(WarningsChecker(record=True))

xarray/tests/test_backends.py:2185: AssertionError _ TestH5NetCDFFileObject.testcomplex[False-FutureWarning-1] __

self = <xarray.tests.test_backends.TestH5NetCDFFileObject object at 0x7f4509c749e8> invalid_netcdf = False, warns = <class 'FutureWarning'>, num_warns = 1

@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)],
)
def test_complex(self, invalid_netcdf, warns, num_warns):
    expected = Dataset({"x": ("y", np.ones(5) + 1j * np.ones(5))})
    save_kwargs = {"invalid_netcdf": invalid_netcdf}
    with pytest.warns(warns) as record:
        with self.roundtrip(expected, save_kwargs=save_kwargs) as actual:
            assert_equal(expected, actual)

  assert len(record) == num_warns

E assert 2 == 1 E + where 2 = len(WarningsChecker(record=True))

xarray/tests/test_backends.py:2185: AssertionError __ TestH5NetCDFFileObject.test_complex[True-None-0] __

self = <xarray.tests.test_backends.TestH5NetCDFFileObject object at 0x7f450afe69b0> invalid_netcdf = True, warns = None, num_warns = 0

@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)],
)
def test_complex(self, invalid_netcdf, warns, num_warns):
    expected = Dataset({"x": ("y", np.ones(5) + 1j * np.ones(5))})
    save_kwargs = {"invalid_netcdf": invalid_netcdf}
    with pytest.warns(warns) as record:
        with self.roundtrip(expected, save_kwargs=save_kwargs) as actual:
            assert_equal(expected, actual)

  assert len(record) == num_warns

E assert 1 == 0 E + where 1 = len(WarningsChecker(record=True))

xarray/tests/test_backends.py:2185: AssertionError _ TestH5NetCDFViaDaskData.testcomplex[None-FutureWarning-1] __

self = <xarray.tests.test_backends.TestH5NetCDFViaDaskData object at 0x7f4509fa0c18> invalid_netcdf = None, warns = <class 'FutureWarning'>, num_warns = 1

@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)],
)
def test_complex(self, invalid_netcdf, warns, num_warns):
    expected = Dataset({"x": ("y", np.ones(5) + 1j * np.ones(5))})
    save_kwargs = {"invalid_netcdf": invalid_netcdf}
    with pytest.warns(warns) as record:
        with self.roundtrip(expected, save_kwargs=save_kwargs) as actual:
            assert_equal(expected, actual)

  assert len(record) == num_warns

E assert 2 == 1 E + where 2 = len(WarningsChecker(record=True))

xarray/tests/test_backends.py:2185: AssertionError ___ TestH5NetCDFViaDaskData.test_complex[False-FutureWarning-1] ____

self = <xarray.tests.test_backends.TestH5NetCDFViaDaskData object at 0x7f4509e45e10> invalid_netcdf = False, warns = <class 'FutureWarning'>, num_warns = 1

@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)],
)
def test_complex(self, invalid_netcdf, warns, num_warns):
    expected = Dataset({"x": ("y", np.ones(5) + 1j * np.ones(5))})
    save_kwargs = {"invalid_netcdf": invalid_netcdf}
    with pytest.warns(warns) as record:
        with self.roundtrip(expected, save_kwargs=save_kwargs) as actual:
            assert_equal(expected, actual)

  assert len(record) == num_warns

E assert 2 == 1 E + where 2 = len(WarningsChecker(record=True))

xarray/tests/test_backends.py:2185: AssertionError __ TestH5NetCDFViaDaskData.test_complex[True-None-0] ___

self = <xarray.tests.test_backends.TestH5NetCDFViaDaskData object at 0x7f450aa3f668> invalid_netcdf = True, warns = None, num_warns = 0

@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)],
)
def test_complex(self, invalid_netcdf, warns, num_warns):
    expected = Dataset({"x": ("y", np.ones(5) + 1j * np.ones(5))})
    save_kwargs = {"invalid_netcdf": invalid_netcdf}
    with pytest.warns(warns) as record:
        with self.roundtrip(expected, save_kwargs=save_kwargs) as actual:
            assert_equal(expected, actual)

  assert len(record) == num_warns

E assert 1 == 0 E + where 1 = len(WarningsChecker(record=True)) ```

 
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