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test_aggregation ValueError: x must be at least 2-dimensional for matrix_transpose

test_aggregation_skipna ValueError: x must be at least 2-dimensional for matrix_transpose

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test_aggregation ValueError: x must be at least 2-dimensional for matrix_transpose

test_aggregation_skipna ValueError: x must be at least 2-dimensional for matrix_transpose

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Canceling since a higher priority waiting request for 'CI-refs/pull/8344/merge' exists

test_aggregation ValueError: x must be at least 2-dimensional for matrix_transpose

test_aggregation_skipna ValueError: x must be at least 2-dimensional for matrix_transpose

test_ensure_warnings_not_elevated[assert_duckarray_equal] AttributeError: module 'numpy' has no attribute 'bool'. `np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations. Did you mean: 'bool_'?

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test_aggregation ValueError: x must be at least 2-dimensional for matrix_transpose

test_aggregation_skipna ValueError: x must be at least 2-dimensional for matrix_transpose

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test_assert_allclose[Dataset] AttributeError: module 'numpy' has no attribute 'bool'. `np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations. Did you mean: 'bool_'?

test_ensure_warnings_not_elevated[assert_duckarray_equal] AttributeError: module 'numpy' has no attribute 'bool'. `np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations. Did you mean: 'bool_'?

TestDataset.test_copy_coords[False-expected_orig1] AttributeError: module 'numpy' has no attribute 'bool'. `np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations. Did you mean: 'bool_'?

TestDataArray.test_reset_index FutureWarning: In the future `np.bool` will be defined as the corresponding NumPy scalar.

test_apply_missing_dims FutureWarning: In the future `np.bool` will be defined as the corresponding NumPy scalar.

TestNamedArray.test_from_array_with_explicitly_indexed AssertionError: assert False + where False = isinstance(array([[[ 0., 1., 2., 3., 4.],\n [ 5., 6., 7., 8., 9.],\n [10., 11., 12., 13., 14.],\n [15.,... [45., 46., 47., 48., 49.],\n [50., 51., 52., 53., 54.],\n [55., 56., 57., 58., 59.]]], dtype=float32), CustomArrayIndexable) + where array([[[ 0., 1., 2., 3., 4.],\n [ 5., 6., 7., 8., 9.],\n [10., 11., 12., 13., 14.],\n [15.,... [45., 46., 47., 48., 49.],\n [50., 51., 52., 53., 54.],\n [55., 56., 57., 58., 59.]]], dtype=float32) = <Namedarray, shape=(3, 4, 5), dims=('x', 'y', 'z'), dtype=float32, data=[[[ 0. 1. 2. 3. 4.]\n [ 5. 6. 7. 8. 9..... 36. 37. 38. 39.]]\n\n [[40. 41. 42. 43. 44.]\n [45. 46. 47. 48. 49.]\n [50. 51. 52. 53. 54.]\n [55. 56. 57. 58. 59.]]]>.data

TestNamedArray.test_duck_array_class TypeError: a (<class 'xarray.tests.test_namedarray.CustomArrayIndexable'>) is not a valid _arrayfunction or _arrayapi. Missing following attrs: _arrayfunction - {'__array_ufunc__', 'real', '__array_function__', 'imag'} _arrayapi - {'mT', 'to_device', 'device'}

TestNamedArray.test_expand_dims[None-3-expected_shape0-expected_dims0] FutureWarning: In the future `np.bool` will be defined as the corresponding NumPy scalar.

TestNamedArray.test_expand_dims[dim1-3-expected_shape1-expected_dims1] FutureWarning: In the future `np.bool` will be defined as the corresponding NumPy scalar.

TestNamedArray.test_expand_dims[z-3-expected_shape2-expected_dims2] FutureWarning: In the future `np.bool` will be defined as the corresponding NumPy scalar.

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