Reimplement DataTree aggregations #14725
Annotations
11 errors and 2 warnings
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Run tests:
xarray/tests/test_dataset.py#L5616
TestDataset.test_reduce_bad_dim
AssertionError: Regex pattern did not match.
Regex: "Dimensions \\('bad_dim',\\) not found in data dimensions"
Input: "Dimension(s) 'bad_dim' do not exist. Expected one or more of dict_keys(['dim2', 'dim3', 'time', 'dim1'])"
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Run tests:
xarray/tests/test_dataset.py#L5645
TestDataset.test_reduce_cumsum_test_dims[cumsum-dim1-expected0]
AssertionError: Regex pattern did not match.
Regex: "Dimensions \\('bad_dim',\\) not found in data dimensions"
Input: "Dimension(s) 'bad_dim' do not exist. Expected one or more of dict_keys(['dim2', 'dim3', 'time', 'dim1'])"
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Run tests:
xarray/tests/test_dataset.py#L5645
TestDataset.test_reduce_cumsum_test_dims[cumsum-dim2-expected1]
AssertionError: Regex pattern did not match.
Regex: "Dimensions \\('bad_dim',\\) not found in data dimensions"
Input: "Dimension(s) 'bad_dim' do not exist. Expected one or more of dict_keys(['dim2', 'dim3', 'time', 'dim1'])"
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Run tests:
xarray/tests/test_dataset.py#L5645
TestDataset.test_reduce_cumsum_test_dims[cumsum-dim3-expected2]
AssertionError: Regex pattern did not match.
Regex: "Dimensions \\('bad_dim',\\) not found in data dimensions"
Input: "Dimension(s) 'bad_dim' do not exist. Expected one or more of dict_keys(['dim2', 'dim3', 'time', 'dim1'])"
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Run tests:
xarray/tests/test_dataset.py#L5645
TestDataset.test_reduce_cumsum_test_dims[cumsum-time-expected3]
AssertionError: Regex pattern did not match.
Regex: "Dimensions \\('bad_dim',\\) not found in data dimensions"
Input: "Dimension(s) 'bad_dim' do not exist. Expected one or more of dict_keys(['dim2', 'dim3', 'time', 'dim1'])"
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Run tests:
xarray/tests/test_dataset.py#L5645
TestDataset.test_reduce_cumsum_test_dims[cumprod-dim1-expected0]
AssertionError: Regex pattern did not match.
Regex: "Dimensions \\('bad_dim',\\) not found in data dimensions"
Input: "Dimension(s) 'bad_dim' do not exist. Expected one or more of dict_keys(['dim2', 'dim3', 'time', 'dim1'])"
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Run tests:
xarray/tests/test_dataset.py#L5645
TestDataset.test_reduce_cumsum_test_dims[cumprod-dim2-expected1]
AssertionError: Regex pattern did not match.
Regex: "Dimensions \\('bad_dim',\\) not found in data dimensions"
Input: "Dimension(s) 'bad_dim' do not exist. Expected one or more of dict_keys(['dim2', 'dim3', 'time', 'dim1'])"
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Run tests:
xarray/tests/test_dataset.py#L5645
TestDataset.test_reduce_cumsum_test_dims[cumprod-dim3-expected2]
AssertionError: Regex pattern did not match.
Regex: "Dimensions \\('bad_dim',\\) not found in data dimensions"
Input: "Dimension(s) 'bad_dim' do not exist. Expected one or more of dict_keys(['dim2', 'dim3', 'time', 'dim1'])"
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Run tests:
xarray/tests/test_dataset.py#L5645
TestDataset.test_reduce_cumsum_test_dims[cumprod-time-expected3]
AssertionError: Regex pattern did not match.
Regex: "Dimensions \\('bad_dim',\\) not found in data dimensions"
Input: "Dimension(s) 'bad_dim' do not exist. Expected one or more of dict_keys(['dim2', 'dim3', 'time', 'dim1'])"
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Run tests
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Upload test results
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Restore cached hypothesis directory
Input 'save-always' has been deprecated with message: save-always does not work as intended and will be removed in a future release.
A separate `actions/cache/restore` step should be used instead.
See https://github.com/actions/cache/tree/main/save#always-save-cache for more details.
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