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2270269009 I_kwDOAMm_X86HUY5R 8984 Nightly Hypothesis tests failed github-actions[bot] 41898282 open 0     0 2024-04-30T00:32:21Z 2024-05-04T00:28:46Z   CONTRIBUTOR      

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Python 3.12 Test Summary ``` properties/test_index_manipulation.py::DatasetTest::runTest: DeprecationWarning: Deleting a single level of a MultiIndex is deprecated. Previously, this deleted all levels of a MultiIndex. Please also drop the following variables: {'3'} to avoid an error in the future. Falsifying example: state = DatasetStateMachine() state.init_ds(var=Variable( data=array(['1969-12-31T23:59:59.999978227', '1970-01-01T00:00:00.000000006'], dtype='datetime64[ns]'), dims=['É'], attrs={}, )) state.assert_invariants() Draw 1: ['É'] > drop_dims: ['É'] state.drop_dims(data=data(...)) state.assert_invariants() adding dimension coordinate 0 state.add_dim_coord(var=Variable(data=array([4, 0], dtype='timedelta64[ns]'), dims=['0'], attrs={})) state.assert_invariants() adding dimension coordinate 6 state.add_dim_coord(var=Variable( data=array([ 65536, 281474976776448], dtype=uint64), dims=['6'], attrs={}, )) state.assert_invariants() Draw 2: '0' > renaming 0 to ž state.rename_vars(data=data(...), newname='ž') state.assert_invariants() Draw 3: '6' > resetting 6 state.reset_index(data=data(...)) state.assert_invariants() Draw 4: ['0', '6'] > drop_dims: ['0', '6'] state.drop_dims(data=data(...)) state.assert_invariants() adding dimension coordinate 1 state.add_dim_coord(var=Variable( data=array([ 72113669181473025, 1024, 18446744073709551614], dtype=uint64), dims=['1'], attrs={}, )) state.assert_invariants() Draw 5: ['1'] > drop_dims: ['1'] state.drop_dims(data=data(...)) state.assert_invariants() adding dimension coordinate Ż state.add_dim_coord(var=Variable( data=array([0]), dims=['Ż'], attrs={'': array([65539, 65539], dtype=uint64), '2': array(['331191', '331191'], dtype='>M8[Y]'), 'Ż': ''}, )) state.assert_invariants() Draw 6: ['Ż'] > stacking ['Ż'] as 3 state.stack(create_index=True, data=data(...), newname='3') state.assert_invariants() Draw 7: '3' > renaming 3 to 2 state.rename_vars(data=data(...), newname='2') state.assert_invariants() Draw 8: ['3'] > drop_dims: ['3'] state.drop_dims(data=data(...)) state.teardown() Explanation: These lines were always and only run by failing examples: /home/runner/work/xarray/xarray/properties/test_index_manipulation.py:174 /home/runner/work/xarray/xarray/xarray/core/dataset.py:5928 /home/runner/work/xarray/xarray/xarray/core/dataset.py:5929 /home/runner/work/xarray/xarray/xarray/core/dataset.py:5932 /home/runner/work/xarray/xarray/xarray/core/indexes.py:1326 /home/runner/work/xarray/xarray/xarray/core/indexes.py:1327 You can reproduce this example by temporarily adding @reproduce_failure('6.100.2', b'AXicVY7dEcIwDIMlO0l5YRqOztEXFugi3RyQnZIG3+XH+hJLgHMler3uO37ViA0B3KJ1BwoHRYGgX/2FSP5pTE1HO6+LVv5sJQYVHQI0Jrd4YiE9ZEo+h+GBT683z9E2jKZkac+I7ZxSZSetEpMM1FYzcc66BctsCtklbV/auAr5') as a decorator on your test case ``` 
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     xarray 13221727 issue
2189649243 I_kwDOAMm_X86Cg2Vb 8844 ⚠️ Nightly upstream-dev CI failed ⚠️ github-actions[bot] 41898282 open 0     15 2024-03-16T00:20:55Z 2024-05-04T00:20:57Z   CONTRIBUTOR      

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Python 3.12 Test Summary ``` xarray/tests/test_array_api.py::test_arithmetic: AttributeError: '_DType' object has no attribute 'type' xarray/tests/test_array_api.py::test_aggregation: AttributeError: '_DType' object has no attribute 'kind' xarray/tests/test_array_api.py::test_aggregation_skipna: AttributeError: '_DType' object has no attribute 'type' xarray/tests/test_array_api.py::test_astype: AttributeError: type object 'numpy.int64' has no attribute '_np_dtype' xarray/tests/test_array_api.py::test_broadcast: AttributeError: '_DType' object has no attribute 'type' xarray/tests/test_array_api.py::test_broadcast_during_arithmetic: AttributeError: '_DType' object has no attribute 'type' xarray/tests/test_array_api.py::test_concat: TypeError: Cannot interpret 'Array([[ 1., 2., 3.], [ 4., 5., nan]], dtype=array_api_strict.float64)' as a data type xarray/tests/test_array_api.py::test_indexing: AttributeError: '_DType' object has no attribute 'type' xarray/tests/test_array_api.py::test_properties: AttributeError: 'DataArray' object has no attribute 'nbytes' xarray/tests/test_array_api.py::test_reorganizing_operation: AttributeError: '_DType' object has no attribute 'type' xarray/tests/test_array_api.py::test_stack: AttributeError: '_DType' object has no attribute 'type' xarray/tests/test_array_api.py::test_unstack: AttributeError: '_DType' object has no attribute 'type' xarray/tests/test_array_api.py::test_where: TypeError: Cannot interpret 'Array(1, dtype=array_api_strict.int64)' as a data type xarray/tests/test_cftime_offsets.py::test_date_range_like[2020-02-01--1YE-FEB-noleap-gregorian-True-2020-02-29-True]: AssertionError: assert 11 == 12 + where 11 = len(DatetimeIndex(['2019-02-28', '2018-02-28', '2017-02-28', '2016-02-29',\n '2015-02-28', '2014-02-28', '201...2-29',\n '2011-02-28', '2010-02-28', '2009-02-28'],\n dtype='datetime64[ns]', freq='-1YE-FEB')) xarray/tests/test_cftime_offsets.py::test_cftime_range_same_as_pandas[-1ME-2000-2000]: AssertionError: Arrays are not equal (shapes (1,), (0,) mismatch) ACTUAL: array(['2000-01-31T00:00:00.000000000'], dtype='datetime64[ns]') DESIRED: array([], dtype='datetime64[ns]') xarray/tests/test_cftime_offsets.py::test_cftime_range_same_as_pandas[-1ME-2000-2001]: AssertionError: Arrays are not equal (shapes (13,), (12,) mismatch) ACTUAL: array(['2001-01-31T00:00:00.000000000', '2000-12-31T00:00:00.000000000', '2000-11-30T00:00:00.000000000', '2000-10-31T00:00:00.000000000', '2000-09-30T00:00:00.000000000', '2000-08-31T00:00:00.000000000',... DESIRED: array(['2000-12-31T00:00:00.000000000', '2000-11-30T00:00:00.000000000', '2000-10-31T00:00:00.000000000', '2000-09-30T00:00:00.000000000', '2000-08-31T00:00:00.000000000', '2000-07-31T00:00:00.000000000',... xarray/tests/test_cftime_offsets.py::test_cftime_range_same_as_pandas[-1ME-2001-2001]: AssertionError: Arrays are not equal (shapes (1,), (0,) mismatch) ACTUAL: array(['2001-01-31T00:00:00.000000000'], dtype='datetime64[ns]') DESIRED: array([], dtype='datetime64[ns]') xarray/tests/test_cftime_offsets.py::test_cftime_range_same_as_pandas[-1YE-2000-2000]: AssertionError: Arrays are not equal (shapes (1,), (0,) mismatch) ACTUAL: array(['2000-12-31T00:00:00.000000000'], dtype='datetime64[ns]') DESIRED: array([], dtype='datetime64[ns]') xarray/tests/test_cftime_offsets.py::test_cftime_range_same_as_pandas[-1YE-2000-2001]: AssertionError: Arrays are not equal (shapes (2,), (1,) mismatch) ACTUAL: array(['2001-12-31T00:00:00.000000000', '2000-12-31T00:00:00.000000000'], dtype='datetime64[ns]') DESIRED: array(['2000-12-31T00:00:00.000000000'], dtype='datetime64[ns]') xarray/tests/test_cftime_offsets.py::test_cftime_range_same_as_pandas[-1YE-2001-2001]: AssertionError: Arrays are not equal (shapes (1,), (0,) mismatch) ACTUAL: array(['2001-12-31T00:00:00.000000000'], dtype='datetime64[ns]') DESIRED: array([], dtype='datetime64[ns]') xarray/tests/test_dtypes.py::test_maybe_promote[a-expected0]: SystemError: <class 'numpy.dtype'> returned a result with an exception set xarray/tests/test_duck_array_ops.py::TestOps::test_where_type_promotion: AssertionError: assert dtype('float64') == <class 'numpy.float32'> + where dtype('float64') = array([ 1., nan]).dtype + and <class 'numpy.float32'> = np.float32 xarray/tests/test_duck_array_ops.py::TestDaskOps::test_where_type_promotion: AssertionError: assert dtype('float64') == <class 'numpy.float32'> + where dtype('float64') = array([ 1., nan]).dtype + and <class 'numpy.float32'> = np.float32 xarray/tests/test_namedarray.py::TestNamedArray::test_real_and_imag: ModuleNotFoundError: No module named 'numpy.array_api' xarray/tests/test_namedarray.py::TestNamedArray::test_duck_array_class: ModuleNotFoundError: No module named 'numpy.array_api' xarray/tests/test_namedarray.py::TestNamedArray::test_expand_dims[None-3-expected_shape0-expected_dims0]: ModuleNotFoundError: No module named 'numpy.array_api' xarray/tests/test_namedarray.py::TestNamedArray::test_expand_dims[Default.token-3-expected_shape1-expected_dims1]: ModuleNotFoundError: No module named 'numpy.array_api' xarray/tests/test_namedarray.py::TestNamedArray::test_expand_dims[z-3-expected_shape2-expected_dims2]: ModuleNotFoundError: No module named 'numpy.array_api' xarray/tests/test_namedarray.py::TestNamedArray::test_permute_dims[dims0-expected_sizes0]: ModuleNotFoundError: No module named 'numpy.array_api' xarray/tests/test_namedarray.py::TestNamedArray::test_permute_dims[dims1-expected_sizes1]: ModuleNotFoundError: No module named 'numpy.array_api' xarray/tests/test_namedarray.py::TestNamedArray::test_permute_dims[dims2-expected_sizes2]: ModuleNotFoundError: No module named 'numpy.array_api' xarray/tests/test_namedarray.py::TestNamedArray::test_permute_dims_errors: ModuleNotFoundError: No module named 'numpy.array_api' xarray/tests/test_namedarray.py::TestNamedArray::test_broadcast_to[broadcast_dims1-3]: ModuleNotFoundError: No module named 'numpy.array_api' xarray/tests/test_namedarray.py::TestNamedArray::test_broadcast_to[broadcast_dims2-3]: ModuleNotFoundError: No module named 'numpy.array_api' xarray/tests/test_rolling.py::TestDataArrayRolling::test_rolling_dask_dtype[float32]: AssertionError: assert dtype('float64') == dtype('float32') + where dtype('float64') = <xarray.DataArray (x: 3)> Size: 24B\ndask.array<truediv, shape=(3,), dtype=float64, chunksize=(3,), chunktype=numpy.ndarray>\nCoordinates:\n * x (x) int64 24B 1 2 3.dtype + and dtype('float32') = <xarray.DataArray (x: 3)> Size: 12B\narray([1. , 1.5, 2. ], dtype=float32)\nCoordinates:\n * x (x) int64 24B 1 2 3.dtype xarray/tests/test_strategies.py::TestVariablesStrategy::test_make_strategies_namespace: ImportError: cannot import name 'array_api' from 'numpy' (/home/runner/micromamba/envs/xarray-tests/lib/python3.12/site-packages/numpy/__init__.py). Did you mean: 'array_repr'? Falsifying example: test_make_strategies_namespace( self=<xarray.tests.test_strategies.TestVariablesStrategy object at 0x7f47dc1f39b0>, data=data(...), ) You can reproduce this example by temporarily adding @reproduce_failure('6.100.2', b'AA==') as a decorator on your test case ``` 
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     xarray 13221727 issue

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