test_keep_attrs_strategies_dataarray_variables[default-dim] xarray.core.merge.MergeError: combine_attrs='no_conflicts', but some values are not the same. Merging {'a': 1} with {'a': 2}

test_keep_attrs_strategies_dataarray_variables[default-coord] xarray.core.merge.MergeError: combine_attrs='no_conflicts', but some values are not the same. Merging {'a': 1} with {'a': 2}

test_keep_attrs_strategies_dataarray_variables[False-dim] xarray.core.merge.MergeError: combine_attrs='no_conflicts', but some values are not the same. Merging {'a': 1} with {'a': 2}

test_keep_attrs_strategies_dataarray_variables[False-coord] xarray.core.merge.MergeError: combine_attrs='no_conflicts', but some values are not the same. Merging {'a': 1} with {'a': 2}

test_keep_attrs_strategies_dataarray_variables[True-dim] xarray.core.merge.MergeError: combine_attrs='no_conflicts', but some values are not the same. Merging {'a': 1} with {'a': 2}

test_keep_attrs_strategies_dataarray_variables[True-coord] xarray.core.merge.MergeError: combine_attrs='no_conflicts', but some values are not the same. Merging {'a': 1} with {'a': 2}

test_keep_attrs_strategies_dataarray_variables[override-dim] xarray.core.merge.MergeError: combine_attrs='no_conflicts', but some values are not the same. Merging {'a': 1} with {'a': 2}

test_keep_attrs_strategies_dataarray_variables[override-coord] xarray.core.merge.MergeError: combine_attrs='no_conflicts', but some values are not the same. Merging {'a': 1} with {'a': 2}

test_keep_attrs_strategies_dataarray_variables[drop-dim] xarray.core.merge.MergeError: combine_attrs='no_conflicts', but some values are not the same. Merging {'a': 1} with {'a': 2}

test_keep_attrs_strategies_dataarray_variables[drop-coord] xarray.core.merge.MergeError: combine_attrs='no_conflicts', but some values are not the same. Merging {'a': 1} with {'a': 2}

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).