New defaults for concat
, merge
, combine_*
#16423
Annotations
10 errors and 11 warnings
Run tests:
xarray/tests/test_dask.py#L448
TestDataArrayAndDataset.test_concat_loads_variables
ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='equals'. The recommendation is to set compat explicitly for this case.
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Run tests:
xarray/tests/test_combine.py#L299
TestCombineND.test_concat_once[new_dim]
AssertionError: Left and right Dataset objects are not equal
Differing dimensions:
(new_dim: 2, dim1: 8, dim2: 9, dim3: 10, time: 20) != (dim1: 8, dim2: 9, dim3: 10, time: 20)
Differing data variables:
L var3 (new_dim, dim3, dim1) float64 1kB 0.3194 -0.3589 ... -0.1366
R var3 (dim3, dim1) float64 640B 0.3194 -0.3589 -1.902 ... -0.6486 0.678
L var2 (new_dim, dim1, dim2) float64 1kB 1.004 -0.6179 ... -0.0539
R var2 (dim1, dim2) float64 576B 1.004 -0.6179 1.822 ... 0.3712 0.3828
L var1 (new_dim, dim1, dim2) float64 1kB 0.1257 -0.1321 ... 1.225 -0.2975
R var1 (dim1, dim2) float64 576B 0.1257 -0.1321 0.6404 ... 0.05203 0.6837
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Run tests:
xarray/tests/test_combine.py#L345
TestCombineND.test_concat_twice[new_dim]
AssertionError: Left and right Dataset objects are not equal
Differing dimensions:
(new_dim: 3, dim1: 16, dim2: 9, dim3: 10, time: 20) != (dim1: 16, dim2: 9, dim3: 10, time: 20)
Differing data variables:
L var3 (new_dim, dim3, dim1) float64 4kB 0.3194 -0.3589 ... 1.271 1.32
R var3 (dim3, dim1) float64 1kB 0.3194 -0.3589 -1.902 ... -1.198 1.12
L var2 (new_dim, dim1, dim2) float64 3kB 1.004 -0.6179 ... 0.6308 1.548
R var2 (dim1, dim2) float64 1kB 1.004 -0.6179 1.822 ... 2.463 -0.2461
L var1 (new_dim, dim1, dim2) float64 3kB 0.1257 -0.1321 ... -0.1524 0.2424
R var1 (dim1, dim2) float64 1kB 0.1257 -0.1321 0.6404 ... 0.328 -0.6092
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Run tests:
xarray/tests/test_combine.py#L436
TestNestedCombine.test_nested_concat_along_new_dim
AssertionError: Left and right Dataset objects are not identical
Differing dimensions:
(t: 2, x: 1) != (x: 1)
Differing data variables:
L a (t, x) int64 16B 10 20
R a (x) int64 8B 10
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Run tests:
xarray/tests/test_combine.py#L454
TestNestedCombine.test_nested_merge
ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.
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Run tests:
xarray/tests/test_combine.py#L590
TestNestedCombine.test_combine_nested_missing_data_new_dim
ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.
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Run tests:
xarray/tests/test_combine.py#L668
TestNestedCombine.test_combine_nested_fill_value[fill_value0]
ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.
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Run tests:
xarray/tests/test_combine.py#L668
TestNestedCombine.test_combine_nested_fill_value[2]
ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.
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Run tests:
xarray/tests/test_combine.py#L668
TestNestedCombine.test_combine_nested_fill_value[2.0]
ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.
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Run tests:
xarray/tests/test_combine.py#L668
TestNestedCombine.test_combine_nested_fill_value[fill_value3]
ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.
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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/core/duck_array_ops.py#L232
invalid value encountered in cast
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Run tests:
Users/runner/micromamba/envs/xarray-tests/lib/python3.13/site-packages/array_api_strict/_data_type_functions.py#L45
invalid value encountered in cast
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Run tests:
xarray/core/duck_array_ops.py#L232
invalid value encountered in cast
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Run tests:
Users/runner/micromamba/envs/xarray-tests/lib/python3.13/site-packages/array_api_strict/_data_type_functions.py#L45
invalid value encountered in cast
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Run tests:
Users/runner/micromamba/envs/xarray-tests/lib/python3.13/site-packages/zarr/_storage/store.py#L39
The experimental Zarr V3 implementation in this version of Zarr-Python is not in alignment with the final V3 specification. This version will be removed in Zarr-Python 3 in favor of a spec compliant version.
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Run tests:
Users/runner/micromamba/envs/xarray-tests/lib/python3.13/site-packages/zarr/_storage/store.py#L39
The experimental Zarr V3 implementation in this version of Zarr-Python is not in alignment with the final V3 specification. This version will be removed in Zarr-Python 3 in favor of a spec compliant version.
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Run tests:
xarray/core/duck_array_ops.py#L232
invalid value encountered in cast
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Run tests:
xarray/core/duck_array_ops.py#L232
invalid value encountered in cast
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Run tests:
<frozen _collections_abc>#L838
The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
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Run tests:
<frozen _collections_abc>#L899
The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
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