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.

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.

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: ''

TestCombineND.test_concat_once[dim1] 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 constructing a new dimension. 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 constructing a new dimension. 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_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.

test_concat_categorical 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 constructing a new dimension. 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_only_first_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 constructing a new dimension. 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[dim1] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-True-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-True-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-True-None] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-None] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-None] 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 constructing a new dimension. 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[dim1] 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 constructing a new dimension. 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[dim1] 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 constructing a new dimension. 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 constructing a new dimension. 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_only_first_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 constructing a new dimension. 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[dim1] 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 constructing a new dimension. 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 constructing a new dimension. 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_concat 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 constructing a new dimension. 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 constructing a new dimension. 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_concat_multiple_dims 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 constructing a new dimension. 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_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.

TestZarrWriteEmpty.test_write_empty[2-True-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-True-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-True-None] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-None] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-None] 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 constructing a new dimension. 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.

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: ''

TestZarrWriteEmpty.test_write_empty[2-True-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-True-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-True-None] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-None] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-None] 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 constructing a new dimension. 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[dim1] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-True-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-True-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-True-None] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-None] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-None] 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 constructing a new dimension. 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[dim1] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-True-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-True-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-True-None] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-False-None] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-True] 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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-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 constructing a new dimension. 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.

TestZarrWriteEmpty.test_write_empty[2-None-None] 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 constructing a new dimension. 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[dim1] 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 constructing a new dimension. 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_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

TestZarrRegionAuto.test_zarr_region_chunk_partial_offset[2] FileNotFoundError: [WinError 2] The system cannot find the file specified: 'C:\\Users\\RUNNER~1\\AppData\\Local\\Temp\\tmp5ntulji5\\temp-8.zarr\\foo\\2.6643c242bd1d41648c61951fdba5b40e.partial'

TestCombineND.test_concat_once[dim1] 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 constructing a new dimension. 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 constructing a new dimension. 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_only_first_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 constructing a new dimension. 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[dim1] 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 constructing a new dimension. 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 constructing a new dimension. 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_concat 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 constructing a new dimension. 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 constructing a new dimension. 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.

TestCombineND.test_concat_once[dim1] 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 constructing a new dimension. 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 constructing a new dimension. 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_only_first_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 constructing a new dimension. 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[dim1] 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 constructing a new dimension. 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 constructing a new dimension. 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_concat 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 constructing a new dimension. 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 constructing a new dimension. 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_concat_multiple_dims 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 constructing a new dimension. 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.

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='bf124743-1353-4ef1-90c5-88f138e0f1a7'), 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='bf124743-1353-4ef1-90c5-88f138e0f1a7'), 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='b3766cf5-28be-4b1f-baa3-581475563e5f'), 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='2fa4bb40-cb0b-4314-98fc-f6cb82801d7a'), 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='b3766cf5-28be-4b1f-baa3-581475563e5f'), 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='2fa4bb40-cb0b-4314-98fc-f6cb82801d7a'), 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.

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.

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.

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.

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`.

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.

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

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')``.

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.

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).

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`.

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.

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.

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`.

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.

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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`.