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.

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.

TestNestedCombine.test_combine_nested_join_exact AssertionError: Regex pattern did not match. Regex: 'cannot align.*join.*exact' Input: ''

TestNestedCombine.test_nested_concat_along_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.

TestNestedCombine.test_nested_merge 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.

TestNestedCombine.test_auto_combine_2d 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.

TestNestedCombine.test_auto_combine_2d_combine_attrs_kwarg 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.

TestNestedCombine.test_combine_nested_missing_data_new_dim 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.

TestNestedCombine.test_combine_nested_fill_value[fill_value0] 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.

TestNestedCombine.test_combine_nested_fill_value[2] 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.

Cache not found for keys: Linux-X64-py3.13-2025-02-25-d88b469f63f878053725f10a66978c2ee81a9b1cd6d183569791389f18c43440-linux-64-xarray-tests-args-a3edb49-root-dcc80ee-bin-[object Promise]-file-33c9cc5a88c76e78b0fabe92743e9cb3e46dd8e3d40dab6d83e242e8d39519b8

Failed to save: Failed to CreateCacheEntry: Received non-retryable error: Failed request: (409) Conflict: cache entry with the same key, version, and scope already exists

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.

invalid value encountered in cast

invalid value encountered in cast

invalid value encountered in cast

invalid value encountered in cast

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.

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.

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')``.

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')``.

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`.