issues: 1406971855
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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| 1406971855 | I_kwDOAMm_X85T3K_P | 7158 | ⚠️ Nightly upstream-dev CI failed ⚠️ | 41898282 | closed | 0 | 3 | 2022-10-13T00:39:57Z | 2022-10-16T16:16:52Z | 2022-10-16T16:16:52Z | CONTRIBUTOR | Python 3.10 Test Summary``` xarray/tests/test_formatting.py::test__mapping_repr_recursive: ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part. xarray/tests/test_variable.py::TestVariable::test_index_0d_timedelta64: AssertionError: assert dtype('<m8[us]') == 'timedelta64[ns]' + where dtype('<m8[us]') = numpy.timedelta64(3600000000,'us').dtype xarray/tests/test_variable.py::TestVariable::test_timedelta64_conversion: AssertionError: assert dtype('<m8[s]') == dtype('<m8[ns]') + where dtype('<m8[s]') = <xarray.Variable (t: 3)>\narray([ 0, 86400, 172800], dtype='timedelta64[s]').dtype + and dtype('<m8[ns]') = <class 'numpy.dtype'>('timedelta64[ns]') + where <class 'numpy.dtype'> = np.dtype xarray/tests/test_variable.py::TestVariable::test_timedelta64_conversion_scalar: AssertionError: assert dtype('<m8[s]') == dtype('<m8[ns]') + where dtype('<m8[s]') = <xarray.Variable ()>\narray(86400, dtype='timedelta64[s]').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 ()>\narray(1, dtype='timedelta64[s]').dtype + and dtype('<m8[ns]') = <class 'numpy.dtype'>('timedelta64[ns]') + where <class 'numpy.dtype'> = np.dtype xarray/tests/test_variable.py::TestVariableWithDask::test_index_0d_timedelta64: AssertionError: assert dtype('<m8[us]') == 'timedelta64[ns]' + where dtype('<m8[us]') = numpy.timedelta64(3600000000,'us').dtype xarray/tests/test_variable.py::TestVariableWithDask::test_timedelta64_conversion: AssertionError: assert dtype('<m8[s]') == dtype('<m8[ns]') + where dtype('<m8[s]') = <xarray.Variable (t: 3)>\ndask.array<array, shape=(3,), dtype=timedelta64[s], chunksize=(3,), chunktype=numpy.ndarray>.dtype + and dtype('<m8[ns]') = <class 'numpy.dtype'>('timedelta64[ns]') + where <class 'numpy.dtype'> = np.dtype xarray/tests/test_variable.py::TestIndexVariable::test_index_0d_timedelta64: AssertionError: Items are not equal: ACTUAL: numpy.timedelta64(3600000000,'ns') DESIRED: numpy.timedelta64(3600000000,'us') xarray/tests/test_variable.py::TestIndexVariable::test_timedelta64_conversion: AssertionError: assert dtype('<m8[s]') == dtype('<m8[ns]') + where dtype('<m8[s]') = <xarray.IndexVariable 't' (t: 3)>\narray([ 0, 86400, 172800], dtype='timedelta64[s]').dtype + and dtype('<m8[ns]') = <class 'numpy.dtype'>('timedelta64[ns]') + where <class 'numpy.dtype'> = np.dtype ``` |
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