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.

test_dot_align_coords[False] AssertionError: Regex pattern did not match. Regex: 'cannot align.*join.*exact.*not equal.*' Input: ''

TestDataArray.test_dot_align_coords AssertionError: Regex pattern did not match. Regex: 'cannot align.*join.*exact.*not equal.*' Input: ''

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.

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.

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.

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.

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.

TestDataArray.test_matmul_align_coords AssertionError: Regex pattern did not match. Regex: 'cannot align.*join.*exact.*not equal.*' Input: ''

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.

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.

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.

test_h5netcdf_storage_options 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.

TestConcatDataset.test_concat_simple[dim1-True-different] 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 coords='different' and compat='override'. The recommendation is to set compat explicitly for this case.

TestConcatDataset.test_concat_simple[dim2-False-different] 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 coords='different' and compat='override'. The recommendation is to set compat explicitly for this case.

TestConcatDataset.test_concat_merge_variables_present_in_some_datasets 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.

TestConcatDataset.test_concat_coords_kwarg[dim1-different] 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.

TestConcatDataset.test_concat_coords_kwarg[dim1-minimal] 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.

TestConcatDataset.test_concat_coords_kwarg[dim1-all] 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.

TestConcatDataset.test_concat_coords_kwarg[dim2-different] 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 coords='different' and compat='override'. The recommendation is to set compat explicitly for this case.

TestConcatDataset.test_concat_data_vars 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.

TestConcatDataset.test_concat_coords 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 coords='different' and compat='override'. The recommendation is to set compat explicitly for this case.

TestCombineDatasetsbyCoords.test_combine_coords_join_exact AssertionError: Regex pattern did not match. Regex: 'cannot align.*join.*exact.*' Input: ''

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

test_dot_align_coords[True] AssertionError: Regex pattern did not match. Regex: 'cannot align.*join.*exact.*not equal.*' Input: ''

test_dot_align_coords[False] AssertionError: Regex pattern did not match. Regex: 'cannot align.*join.*exact.*not equal.*' Input: ''

TestDataArray.test_dot_align_coords AssertionError: Regex pattern did not match. Regex: 'cannot align.*join.*exact.*not equal.*' Input: ''

TestDataArray.test_matmul_align_coords AssertionError: Regex pattern did not match. Regex: 'cannot align.*join.*exact.*not equal.*' Input: ''

TestConcatDataset.test_concat_errors AssertionError: Regex pattern did not match. Regex: "Cannot specify both .*='different'" Input: ''

TestConcatDataset.test_concat_join_kwarg AssertionError: Regex pattern did not match. Regex: "cannot align.*exact.*dimensions.*'y'" Input: ''

TestConcatDataArray.test_concat_join_kwarg AssertionError: Regex pattern did not match. Regex: "cannot align.*exact.*dimensions.*'y'" Input: ''

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

TestDataArrayAndDataset.test_concat_loads_variables 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.

test_map_blocks_error 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.

test_map_blocks[obj0] 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.

test_map_blocks[obj1] 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.

test_map_blocks_mixed_type_inputs[obj0] 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.

test_map_blocks_mixed_type_inputs[obj1] 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.

test_map_blocks_convert_args_to_list[obj0] 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.

test_map_blocks_convert_args_to_list[obj1] 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.

test_map_blocks_dask_args AssertionError: Regex pattern did not match. Regex: 'cannot align.*index.*are not equal' Input: ''

test_map_blocks_add_attrs[obj0] 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.

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.

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.

test_mypy_pipe_lambda_noarg_return_type

test_mypy_pipe_lambda_posarg_return_type

test_mypy_pipe_lambda_chaining_return_type

test_mypy_pipe_lambda_missing_arg

test_mypy_pipe_lambda_extra_arg

test_mypy_pipe_function_missing_posarg

test_mypy_pipe_function_extra_posarg

test_mypy_pipe_function_missing_kwarg

test_mypy_pipe_function_missing_keyword

test_mypy_pipe_function_unexpected_keyword

test_mypy_pipe_lambda_noarg_return_type

test_mypy_pipe_lambda_posarg_return_type

test_mypy_pipe_lambda_chaining_return_type

test_mypy_pipe_lambda_missing_arg

test_mypy_pipe_lambda_extra_arg

test_mypy_pipe_function_missing_posarg

test_mypy_pipe_function_extra_posarg

test_mypy_pipe_function_missing_kwarg

test_mypy_pipe_function_missing_keyword

test_mypy_pipe_function_unexpected_keyword

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.

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.

invalid value encountered in cast

invalid value encountered in cast

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')``.

Degrees of freedom <= 0 for slice.

Degrees of freedom <= 0 for slice.

Degrees of freedom <= 0 for slice.

Degrees of freedom <= 0 for slice.

Degrees of freedom <= 0 for slice.

Degrees of freedom <= 0 for slice.

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.

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

deallocating CachingFileManager(<class 'netCDF4._netCDF4.Dataset'>, '/tmp/pytest-of-runner/pytest-0/popen-gw3/test_download_from_github0/xarray_tutorial_data/4c5c606840191d085ac934c9665f7387-tiny.nc', mode='r', kwargs={'clobber': True, 'diskless': False, 'persist': False, 'format': 'NETCDF4'}, manager_id='7e93b83a-bac3-4062-9eb1-80dd52e0360a'), but file is not already closed. This may indicate a bug.

deallocating CachingFileManager(<class 'netCDF4._netCDF4.Dataset'>, '/tmp/pytest-of-runner/pytest-0/popen-gw3/test_download_from_github0/xarray_tutorial_data/4c5c606840191d085ac934c9665f7387-tiny.nc', mode='r', kwargs={'clobber': True, 'diskless': False, 'persist': False, 'format': 'NETCDF4'}, manager_id='7e93b83a-bac3-4062-9eb1-80dd52e0360a'), but file is not already closed. This may indicate a bug.

deallocating CachingFileManager(<class 'netCDF4._netCDF4.Dataset'>, '/tmp/pytest-of-runner/pytest-0/popen-gw3/test_download_from_github_load0/xarray_tutorial_data/4c5c606840191d085ac934c9665f7387-tiny.nc', mode='r', kwargs={'clobber': True, 'diskless': False, 'persist': False, 'format': 'NETCDF4'}, manager_id='7197d2e1-7c40-41cf-b559-ef2096c099b6'), but file is not already closed. This may indicate a bug.

deallocating CachingFileManager(<class 'netCDF4._netCDF4.Dataset'>, '/tmp/pytest-of-runner/pytest-0/popen-gw3/test_download_from_github_load0/xarray_tutorial_data/4c5c606840191d085ac934c9665f7387-tiny.nc', mode='r', kwargs={'clobber': True, 'diskless': False, 'persist': False, 'format': 'NETCDF4'}, manager_id='7500c2e7-dd27-406c-9fc3-69048a31181b'), but file is not already closed. This may indicate a bug.

deallocating CachingFileManager(<class 'netCDF4._netCDF4.Dataset'>, '/tmp/pytest-of-runner/pytest-0/popen-gw3/test_download_from_github_load0/xarray_tutorial_data/4c5c606840191d085ac934c9665f7387-tiny.nc', mode='r', kwargs={'clobber': True, 'diskless': False, 'persist': False, 'format': 'NETCDF4'}, manager_id='7197d2e1-7c40-41cf-b559-ef2096c099b6'), but file is not already closed. This may indicate a bug.

deallocating CachingFileManager(<class 'netCDF4._netCDF4.Dataset'>, '/tmp/pytest-of-runner/pytest-0/popen-gw3/test_download_from_github_load0/xarray_tutorial_data/4c5c606840191d085ac934c9665f7387-tiny.nc', mode='r', kwargs={'clobber': True, 'diskless': False, 'persist': False, 'format': 'NETCDF4'}, manager_id='7500c2e7-dd27-406c-9fc3-69048a31181b'), but file is not already closed. This may indicate a bug.

PyDAP was unable to determine the DAP protocol defaulting to DAP2 which is consider legacy and may result in slower responses. For more, see go to https://www.opendap.org/faq-page.

PyDAP was unable to determine the DAP protocol defaulting to DAP2 which is consider legacy and may result in slower responses. For more, see go to https://www.opendap.org/faq-page.

Call to deprecated method findAll. (Replaced by find_all) -- Deprecated since version 4.0.0.

Call to deprecated method findAll. (Replaced by find_all) -- Deprecated since version 4.0.0.

Unexpected input(s) 'file', valid inputs are ['base_sha', 'binary', 'codecov_yml_path', 'commit_parent', 'directory', 'disable_file_fixes', 'disable_search', 'disable_safe_directory', 'disable_telem', 'dry_run', 'env_vars', 'exclude', 'fail_ci_if_error', 'files', 'flags', 'force', 'git_service', 'gcov_args', 'gcov_executable', 'gcov_ignore', 'gcov_include', 'handle_no_reports_found', 'job_code', 'name', 'network_filter', 'network_prefix', 'os', 'override_branch', 'override_build', 'override_build_url', 'override_commit', 'override_pr', 'plugins', 'report_code', 'report_type', 'root_dir', 'run_command', 'skip_validation', 'slug', 'swift_project', 'token', 'url', 'use_legacy_upload_endpoint', 'use_oidc', 'use_pypi', 'verbose', 'version', 'working-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.

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.

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

Consolidated metadata is currently not part in the Zarr format 3 specification. It may not be supported by other zarr implementations and may change in the future.

Consolidated metadata is currently not part in the Zarr format 3 specification. It may not be supported by other zarr implementations and may change in the future.

Consolidated metadata is currently not part in the Zarr format 3 specification. It may not be supported by other zarr implementations and may change in the future.

Consolidated metadata is currently not part in the Zarr format 3 specification. It may not be supported by other zarr implementations and may change in the future.

Consolidated metadata is currently not part in the Zarr format 3 specification. It may not be supported by other zarr implementations and may change in the future.

Consolidated metadata is currently not part in the Zarr format 3 specification. It may not be supported by other zarr implementations and may change in the future.

Consolidated metadata is currently not part in the Zarr format 3 specification. It may not be supported by other zarr implementations and may change in the future.

Consolidated metadata is currently not part in the Zarr format 3 specification. It may not be supported by other zarr implementations and may change in the future.

Consolidated metadata is currently not part in the Zarr format 3 specification. It may not be supported by other zarr implementations and may change in the future.

Consolidated metadata is currently not part in the Zarr format 3 specification. It may not be supported by other zarr implementations and may change in the future.

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.

Cache not found for keys: Linux-X64-py3.12-2025-02-25-15ab7227e4e5c4c709e63785e07b9f9d621b9f7022ba8176de939ddc4ec63673-linux-64-xarray-tests-args-e92b363-root-dcc80ee-bin-[object Promise]-file-a1e896c24894be3d4dac7f0101eb96f13d4c16f8435131d64512d5c4fc356e92

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.

Cache not found for keys: macOS-ARM64-py3.10-2025-02-25-d88b469f63f878053725f10a66978c2ee81a9b1cd6d183569791389f18c43440-osx-arm64-xarray-tests-args-e0a578e-root-873f6fe-bin-[object Promise]-file-33c9cc5a88c76e78b0fabe92743e9cb3e46dd8e3d40dab6d83e242e8d39519b8

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`.

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`.

deallocating CachingFileManager(<class 'h5netcdf.core.File'>, <fsspec.implementations.local.LocalFileOpener object at 0x7f1a0c5059c0>, mode='r', kwargs={'invalid_netcdf': None, 'decode_vlen_strings': True, 'driver': None, 'phony_dims': 'access'}, manager_id='45e3b758-7631-4dd7-90b1-ad35e4f99d2a'), but file is not already closed. This may indicate a bug.

deallocating CachingFileManager(<class 'h5netcdf.core.File'>, <fsspec.implementations.local.LocalFileOpener object at 0x7f1a0c5047c0>, mode='r', kwargs={'invalid_netcdf': None, 'decode_vlen_strings': True, 'driver': None, 'phony_dims': 'access'}, manager_id='b5d96e36-4318-402d-858f-9795e7ad4cf3'), but file is not already closed. This may indicate a bug.

deallocating CachingFileManager(<class 'h5netcdf.core.File'>, <fsspec.implementations.local.LocalFileOpener object at 0x7f1a0c5059c0>, mode='r', kwargs={'invalid_netcdf': None, 'decode_vlen_strings': True, 'driver': None, 'phony_dims': 'access'}, manager_id='45e3b758-7631-4dd7-90b1-ad35e4f99d2a'), but file is not already closed. This may indicate a bug.

deallocating CachingFileManager(<class 'h5netcdf.core.File'>, <fsspec.implementations.local.LocalFileOpener object at 0x7f1a0c5047c0>, mode='r', kwargs={'invalid_netcdf': None, 'decode_vlen_strings': True, 'driver': None, 'phony_dims': 'access'}, manager_id='b5d96e36-4318-402d-858f-9795e7ad4cf3'), but file is not already closed. This may indicate a bug.

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.

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.

Cache not found for keys: Linux-X64-py3.13-2025-02-25-c221d1a8acfc2436e37af6dc4a51ce46b7cd0d49c3905abb2b157ec14f7b956b-linux-64-xarray-tests-args-a3edb49-root-dcc80ee-bin-[object Promise]-file-ae1c30cc20ee9016e1f67897a09749a8e5b907d49d448d422645b591dc225b63

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

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.

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).

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).

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).

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).

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).

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).

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).

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).

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).

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).

Cache not found for keys: macOS-ARM64-py3.13-2025-02-25-d88b469f63f878053725f10a66978c2ee81a9b1cd6d183569791389f18c43440-osx-arm64-xarray-tests-args-a3edb49-root-873f6fe-bin-[object Promise]-file-33c9cc5a88c76e78b0fabe92743e9cb3e46dd8e3d40dab6d83e242e8d39519b8

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.

invalid value encountered in cast

invalid value encountered in cast

invalid value encountered in cast

invalid value encountered in cast

Cache not found for keys: Linux-X64-py3.10-2025-02-25-d88b469f63f878053725f10a66978c2ee81a9b1cd6d183569791389f18c43440-linux-64-xarray-tests-args-e0a578e-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

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`.

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`.::warning file=/home/runner/work/xarray/xarray/xarray/tests/test_backends.py,line=4188::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`.

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.

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`.

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`.

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.

Cache not found for keys: Linux-X64-py3.10-2025-02-25-d88b469f63f878053725f10a66978c2ee81a9b1cd6d183569791389f18c43440-linux-64-xarray-tests-args-e0a578e-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

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.

Cache not found for keys: Windows-X64-py3.10-2025-02-25-e8c295d54ec7b33e028c4ef3f5de6c8bc064026f845f027aaa789c9f1a176051-win-64-xarray-tests-args-e0a578e-root-74fbf63-bin-[object Promise]-file-8a847870d9eabe6a5889e8cc4751f87f1f26356326da5ac29cd93c8b170ed715

invalid value encountered in cast

invalid value encountered in cast

invalid value encountered in cast

invalid value encountered in cast

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`.

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`.

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`.

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`.

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`.

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`.

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.

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 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`.

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`.

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`.

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`.

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`.

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`.