New defaults for concat
, merge
, combine_*
#16421
Annotations
10 errors and 12 warnings
Run tests:
xarray/tests/test_dataset.py#L6088
TestDataset.test_dataset_math_auto_align
FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results whencombining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
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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_concat.py#L135
test_concat_compat
FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError:cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'y' ('y',) The recommendation is to set join explicitly for this case.
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Run tests:
xarray/tests/test_dataset.py#L6524
TestDataset.test_combine_first
FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError:cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) The recommendation is to set join explicitly for this case.
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Run tests:
xarray/tests/test_combine.py#L298
TestCombineND.test_concat_once[new_dim]
FutureWarning: In a future version of xarray the default value for data_vars will change from data_vars='all' to data_vars='minimal'. This is likely to lead to different results when multiple datasetshave matching variables with overlapping values. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set data_vars explicitly.
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Run tests:
xarray/tests/test_concat.py#L228
test_concat_second_empty
FutureWarning: In a future version of xarray the default value for compat will change from compat='equals' to compat='override'. This change will result in the following ValueError:Cannot specify both data_vars='different' and compat='override'. The recommendation is to set compat explicitly for this case.
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Run tests:
xarray/tests/test_concat.py#L268
test_concat_multiple_datasets_missing_vars[False]
FutureWarning: In a future version of xarray the default value for data_vars will change from data_vars='all' to data_vars='minimal'. This is likely to lead to different results when multiple datasetshave matching variables with overlapping values. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set data_vars explicitly.
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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_combine.py#L343
TestCombineND.test_concat_twice[new_dim]
FutureWarning: In a future version of xarray the default value for data_vars will change from data_vars='all' to data_vars='minimal'. This is likely to lead to different results when multiple datasetshave matching variables with overlapping values. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set data_vars explicitly.
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Run tests:
xarray/core/duck_array_ops.py#L234
invalid value encountered in cast
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Run tests:
xarray/core/duck_array_ops.py#L234
invalid value encountered in cast
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Run tests:
xarray/namedarray/core.py#L264
Duplicate dimension names present: dimensions {'x'} appear more than once in dims=('x', 'x'). We do not yet support duplicate dimension names, but we do allow initial construction of the object. We recommend you rename the dims immediately to become distinct, as most xarray functionality is likely to fail silently if you do not. To rename the dimensions you will need to set the ``.dims`` attribute of each variable, ``e.g. var.dims=('x0', 'x1')``.
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Run tests:
xarray/namedarray/core.py#L264
Duplicate dimension names present: dimensions {'x'} appear more than once in dims=('x', 'x'). We do not yet support duplicate dimension names, but we do allow initial construction of the object. We recommend you rename the dims immediately to become distinct, as most xarray functionality is likely to fail silently if you do not. To rename the dimensions you will need to set the ``.dims`` attribute of each variable, ``e.g. var.dims=('x0', 'x1')``.
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Run tests:
home/runner/micromamba/envs/xarray-tests/lib/python3.10/site-packages/numpy/lib/nanfunctions.py#L1872
Degrees of freedom <= 0 for slice.
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Run tests:
home/runner/micromamba/envs/xarray-tests/lib/python3.10/site-packages/numpy/lib/nanfunctions.py#L1872
Degrees of freedom <= 0 for slice.
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Run tests:
home/runner/micromamba/envs/xarray-tests/lib/python3.10/site-packages/numpy/lib/nanfunctions.py#L1872
Degrees of freedom <= 0 for slice.
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Run tests:
home/runner/micromamba/envs/xarray-tests/lib/python3.10/site-packages/numpy/lib/nanfunctions.py#L1872
Degrees of freedom <= 0 for slice.
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Run tests:
home/runner/micromamba/envs/xarray-tests/lib/python3.10/site-packages/numpy/lib/nanfunctions.py#L1872
Degrees of freedom <= 0 for slice.
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Run tests:
home/runner/micromamba/envs/xarray-tests/lib/python3.10/site-packages/numpy/lib/nanfunctions.py#L1872
Degrees of freedom <= 0 for slice.
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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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Setup micromamba
Cache not found for keys: Linux-X64-py3.10-2025-02-25-d0b85fa4ec1d09fdcd5ac5333c6f51273aea95f41e3e23447c6064bf3bf0fc9f-linux-64-xarray-tests-args-e0a578e-root-dcc80ee-bin-[object Promise]-file-a5ee9cc42c678faaaba3f2d0130dbfc562349aaaacf8949b9af9cab3ef1cd070
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