New defaults for concat, merge, combine_*
#16421
Annotations
10 errors and 12 warnings
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Run tests:
xarray/tests/test_combine.py#L774
TestCombineDatasetsbyCoords.test_combine_coords_join_exact
AssertionError: Regex pattern did not match.
Regex: 'cannot align.*join.*exact.*'
Input: ''
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Run tests:
xarray/tests/test_computation.py#L1129
test_dataset_join
AssertionError: Regex pattern did not match.
Regex: 'cannot align.*join.*exact.*'
Input: ''
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Run tests:
xarray/tests/test_computation.py#L2177
test_dot_align_coords[True]
AssertionError: Regex pattern did not match.
Regex: 'cannot align.*join.*exact.*not equal.*'
Input: ''
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Run tests:
xarray/tests/test_computation.py#L2177
test_dot_align_coords[False]
AssertionError: Regex pattern did not match.
Regex: 'cannot align.*join.*exact.*not equal.*'
Input: ''
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Run tests:
xarray/tests/test_dataarray.py#L4096
TestDataArray.test_dot_align_coords
AssertionError: Regex pattern did not match.
Regex: 'cannot align.*join.*exact.*not equal.*'
Input: ''
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Run tests:
xarray/tests/test_dataarray.py#L4148
TestDataArray.test_matmul_align_coords
AssertionError: Regex pattern did not match.
Regex: 'cannot align.*join.*exact.*not equal.*'
Input: ''
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Run tests:
xarray/tests/test_concat.py#L638
TestConcatDataset.test_concat_errors
AssertionError: Regex pattern did not match.
Regex: "Cannot specify both .*='different'"
Input: ''
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Run tests:
xarray/tests/test_concat.py#L704
TestConcatDataset.test_concat_join_kwarg
AssertionError: Regex pattern did not match.
Regex: "cannot align.*exact.*dimensions.*'y'"
Input: ''
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Run tests:
xarray/tests/test_concat.py#L1216
TestConcatDataArray.test_concat_join_kwarg
AssertionError: Regex pattern did not match.
Regex: "cannot align.*exact.*dimensions.*'y'"
Input: ''
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Run tests:
xarray/tests/test_combine.py#L416
TestNestedCombine.test_combine_nested_join_exact
AssertionError: Regex pattern did not match.
Regex: 'cannot align.*join.*exact'
Input: ''
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Setup micromamba
Cache not found for keys: Linux-X64-py3.10-2025-02-25-c909689293cb6019c4cc2757fa3a775c553017216200ee20ff6e244192ec7041-linux-64-xarray-tests-args-e0a578e-root-dcc80ee-bin-[object Promise]-file-f4bf6040f0c0b5d4a664d923d807676a5362efe13a9c39507a9fa06a933345ec
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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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Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
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Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
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Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
|
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Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
|
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Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
|
|
Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
|
|
Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
|
|
Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
|
|
Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
|
|
Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
|
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