TestCombineND.test_concat_once[new_dim] AssertionError: Left and right Dataset objects are not equal Differing dimensions: (new_dim: 2, dim1: 8, dim2: 9, dim3: 10, time: 20) != (dim1: 8, dim2: 9, dim3: 10, time: 20) Differing data variables: L var1 (new_dim, dim1, dim2) float64 1kB 0.1257 -0.1321 ... 1.225 -0.2975 R var1 (dim1, dim2) float64 576B 0.1257 -0.1321 0.6404 ... 0.05203 0.6837 L var2 (new_dim, dim1, dim2) float64 1kB 1.004 -0.6179 ... -0.0539 R var2 (dim1, dim2) float64 576B 1.004 -0.6179 1.822 ... 0.3712 0.3828 L var3 (new_dim, dim3, dim1) float64 1kB 0.3194 -0.3589 ... -0.1366 R var3 (dim3, dim1) float64 640B 0.3194 -0.3589 -1.902 ... -0.6486 0.678

TestCombineND.test_concat_twice[new_dim] AssertionError: Left and right Dataset objects are not equal Differing dimensions: (new_dim: 3, dim1: 16, dim2: 9, dim3: 10, time: 20) != (dim1: 16, dim2: 9, dim3: 10, time: 20) Differing data variables: L var1 (new_dim, dim1, dim2) float64 3kB 0.1257 -0.1321 ... -0.1524 0.2424 R var1 (dim1, dim2) float64 1kB 0.1257 -0.1321 0.6404 ... 0.328 -0.6092 L var2 (new_dim, dim1, dim2) float64 3kB 1.004 -0.6179 ... 0.6308 1.548 R var2 (dim1, dim2) float64 1kB 1.004 -0.6179 1.822 ... 2.463 -0.2461 L var3 (new_dim, dim3, dim1) float64 4kB 0.3194 -0.3589 ... 1.271 1.32 R var3 (dim3, dim1) float64 1kB 0.3194 -0.3589 -1.902 ... -1.198 1.12

TestNestedCombine.test_nested_concat_along_new_dim AssertionError: Left and right Dataset objects are not identical Differing dimensions: (t: 2, x: 1) != (x: 1) Differing data variables: L a (t, x) int64 16B 10 20 R a (x) int64 8B 10

TestNestedCombine.test_nested_merge ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

test_concat_compat AssertionError: Regex pattern did not match. Regex: "'q' not present in all datasets" Input: "cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'y' ('y',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case."

test_concat_second_empty ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='equals'. The recommendation is to set compat explicitly for this case.

test_concat_multiple_datasets_missing_vars[False] AssertionError: Left and right Dataset objects are not identical Differing data variables: L temperature (x, y) float64 32B 1.192 -0.6711 1.0 0.1363 R temperature (x, y) float64 32B nan nan nan nan

TestNestedCombine.test_combine_nested_missing_data_new_dim ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestCombineND.test_concat_once[new_dim] AssertionError: Left and right Dataset objects are not equal Differing dimensions: (new_dim: 2, dim1: 8, dim2: 9, dim3: 10, time: 20) != (dim1: 8, dim2: 9, dim3: 10, time: 20) Differing data variables: L var1 (new_dim, dim1, dim2) float64 1kB 0.1257 -0.1321 ... 1.225 -0.2975 R var1 (dim1, dim2) float64 576B 0.1257 -0.1321 0.6404 ... 0.05203 0.6837 L var2 (new_dim, dim1, dim2) float64 1kB 1.004 -0.6179 ... -0.0539 R var2 (dim1, dim2) float64 576B 1.004 -0.6179 1.822 ... 0.3712 0.3828 L var3 (new_dim, dim3, dim1) float64 1kB 0.3194 -0.3589 ... -0.1366 R var3 (dim3, dim1) float64 640B 0.3194 -0.3589 -1.902 ... -0.6486 0.678

TestCombineND.test_concat_twice[new_dim] AssertionError: Left and right Dataset objects are not equal Differing dimensions: (new_dim: 3, dim1: 16, dim2: 9, dim3: 10, time: 20) != (dim1: 16, dim2: 9, dim3: 10, time: 20) Differing data variables: L var1 (new_dim, dim1, dim2) float64 3kB 0.1257 -0.1321 ... -0.1524 0.2424 R var1 (dim1, dim2) float64 1kB 0.1257 -0.1321 0.6404 ... 0.328 -0.6092 L var2 (new_dim, dim1, dim2) float64 3kB 1.004 -0.6179 ... 0.6308 1.548 R var2 (dim1, dim2) float64 1kB 1.004 -0.6179 1.822 ... 2.463 -0.2461 L var3 (new_dim, dim3, dim1) float64 4kB 0.3194 -0.3589 ... 1.271 1.32 R var3 (dim3, dim1) float64 1kB 0.3194 -0.3589 -1.902 ... -1.198 1.12

TestNestedCombine.test_nested_concat_along_new_dim AssertionError: Left and right Dataset objects are not identical Differing dimensions: (t: 2, x: 1) != (x: 1) Differing data variables: L a (t, x) int64 16B 10 20 R a (x) int64 8B 10

TestNestedCombine.test_nested_merge ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_missing_data_new_dim ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2.0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value3] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestCombineDatasetsbyCoords.test_combine_by_coords ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestCombineND.test_concat_once[new_dim] AssertionError: Left and right Dataset objects are not equal Differing dimensions: (new_dim: 2, dim1: 8, dim2: 9, dim3: 10, time: 20) != (dim1: 8, dim2: 9, dim3: 10, time: 20) Differing data variables: L var1 (new_dim, dim1, dim2) float64 1kB 0.1257 -0.1321 ... 1.225 -0.2975 R var1 (dim1, dim2) float64 576B 0.1257 -0.1321 0.6404 ... 0.05203 0.6837 L var3 (new_dim, dim3, dim1) float64 1kB 0.3194 -0.3589 ... -0.1366 R var3 (dim3, dim1) float64 640B 0.3194 -0.3589 -1.902 ... -0.6486 0.678 L var2 (new_dim, dim1, dim2) float64 1kB 1.004 -0.6179 ... -0.0539 R var2 (dim1, dim2) float64 576B 1.004 -0.6179 1.822 ... 0.3712 0.3828

TestCombineND.test_concat_twice[new_dim] AssertionError: Left and right Dataset objects are not equal Differing dimensions: (new_dim: 3, dim1: 16, dim2: 9, dim3: 10, time: 20) != (dim1: 16, dim2: 9, dim3: 10, time: 20) Differing data variables: L var1 (new_dim, dim1, dim2) float64 3kB 0.1257 -0.1321 ... -0.1524 0.2424 R var1 (dim1, dim2) float64 1kB 0.1257 -0.1321 0.6404 ... 0.328 -0.6092 L var3 (new_dim, dim3, dim1) float64 4kB 0.3194 -0.3589 ... 1.271 1.32 R var3 (dim3, dim1) float64 1kB 0.3194 -0.3589 -1.902 ... -1.198 1.12 L var2 (new_dim, dim1, dim2) float64 3kB 1.004 -0.6179 ... 0.6308 1.548 R var2 (dim1, dim2) float64 1kB 1.004 -0.6179 1.822 ... 2.463 -0.2461

TestNestedCombine.test_nested_concat_along_new_dim AssertionError: Left and right Dataset objects are not identical Differing dimensions: (t: 2, x: 1) != (x: 1) Differing data variables: L a (t, x) int64 16B 10 20 R a (x) int64 8B 10

TestNestedCombine.test_nested_merge ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_missing_data_new_dim ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2.0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value3] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestCombineDatasetsbyCoords.test_combine_by_coords ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestConcatDataset.test_concat_simple[dim1-True-different] ValueError: Cannot specify both coords='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='equals'. The recommendation is to set compat explicitly for this case.

TestConcatDataset.test_concat_simple[dim2-False-different] ValueError: Cannot specify both coords='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='equals'. The recommendation is to set compat explicitly for this case.

TestConcatDataset.test_concat_merge_variables_present_in_some_datasets AssertionError: Left and right Dataset objects are not identical Differing data variables: L foo (dim1, bar) float64 640B nan nan nan nan ... -0.1514 -0.1032 0.4106 R foo (bar) float64 80B 1.764 0.4002 0.9787 ... -0.1514 -0.1032 0.4106

TestConcatDataset.test_concat_coords_kwarg[dim1-different] ValueError: Cannot specify both coords='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='equals'. The recommendation is to set compat explicitly for this case.

TestConcatDataset.test_concat_coords_kwarg[dim2-different] ValueError: Cannot specify both coords='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='equals'. The recommendation is to set compat explicitly for this case.

TestConcatDataset.test_concat_data_vars ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='equals'. The recommendation is to set compat explicitly for this case.

TestConcatDataset.test_concat_coords ValueError: Cannot specify both coords='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='equals'. The recommendation is to set compat explicitly for this case.

TestConcatDataset.test_concat_constant_index ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='equals'. The recommendation is to set compat explicitly for this case.

TestConcatDataset.test_concat_autoalign ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestConcatDataset.test_concat_promote_shape AssertionError: Left and right Dataset objects are not identical Differing data variables: L y int64 8B 3 R y (x) int64 16B 3 5

TestNestedCombine.test_combine_nested_missing_data_new_dim ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2.0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value3] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestCombineDatasetsbyCoords.test_combine_by_coords ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestCombineDatasetsbyCoords.test_combine_by_coords_previously_failed ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestCombineDatasetsbyCoords.test_combine_by_coords_incomplete_hypercube ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'y' ('y',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestCombineMixedObjectsbyCoords.test_combine_by_coords_all_named_dataarrays ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestCombineMixedObjectsbyCoords.test_combine_by_coords_all_dataarrays_with_the_same_name ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestDataArrayAndDataset.test_concat_loads_variables ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='equals'. The recommendation is to set compat explicitly for this case.

TestCombineND.test_concat_once[new_dim] AssertionError: Left and right Dataset objects are not equal Differing dimensions: (new_dim: 2, dim1: 8, dim2: 9, dim3: 10, time: 20) != (dim1: 8, dim2: 9, dim3: 10, time: 20) Differing data variables: L var3 (new_dim, dim3, dim1) float64 1kB 0.3194 -0.3589 ... -0.1366 R var3 (dim3, dim1) float64 640B 0.3194 -0.3589 -1.902 ... -0.6486 0.678 L var2 (new_dim, dim1, dim2) float64 1kB 1.004 -0.6179 ... -0.0539 R var2 (dim1, dim2) float64 576B 1.004 -0.6179 1.822 ... 0.3712 0.3828 L var1 (new_dim, dim1, dim2) float64 1kB 0.1257 -0.1321 ... 1.225 -0.2975 R var1 (dim1, dim2) float64 576B 0.1257 -0.1321 0.6404 ... 0.05203 0.6837

TestCombineND.test_concat_twice[new_dim] AssertionError: Left and right Dataset objects are not equal Differing dimensions: (new_dim: 3, dim1: 16, dim2: 9, dim3: 10, time: 20) != (dim1: 16, dim2: 9, dim3: 10, time: 20) Differing data variables: L var3 (new_dim, dim3, dim1) float64 4kB 0.3194 -0.3589 ... 1.271 1.32 R var3 (dim3, dim1) float64 1kB 0.3194 -0.3589 -1.902 ... -1.198 1.12 L var2 (new_dim, dim1, dim2) float64 3kB 1.004 -0.6179 ... 0.6308 1.548 R var2 (dim1, dim2) float64 1kB 1.004 -0.6179 1.822 ... 2.463 -0.2461 L var1 (new_dim, dim1, dim2) float64 3kB 0.1257 -0.1321 ... -0.1524 0.2424 R var1 (dim1, dim2) float64 1kB 0.1257 -0.1321 0.6404 ... 0.328 -0.6092

TestNestedCombine.test_nested_concat_along_new_dim AssertionError: Left and right Dataset objects are not identical Differing dimensions: (t: 2, x: 1) != (x: 1) Differing data variables: L a (t, x) int64 16B 10 20 R a (x) int64 8B 10

TestNestedCombine.test_nested_merge ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_missing_data_new_dim ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2.0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value3] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestCombineND.test_concat_once[new_dim] AssertionError: Left and right Dataset objects are not equal Differing dimensions: (new_dim: 2, dim1: 8, dim2: 9, dim3: 10, time: 20) != (dim1: 8, dim2: 9, dim3: 10, time: 20) Differing data variables: L var2 (new_dim, dim1, dim2) float64 1kB 1.004 -0.6179 ... -0.0539 R var2 (dim1, dim2) float64 576B 1.004 -0.6179 1.822 ... 0.3712 0.3828 L var3 (new_dim, dim3, dim1) float64 1kB 0.3194 -0.3589 ... -0.1366 R var3 (dim3, dim1) float64 640B 0.3194 -0.3589 -1.902 ... -0.6486 0.678 L var1 (new_dim, dim1, dim2) float64 1kB 0.1257 -0.1321 ... 1.225 -0.2975 R var1 (dim1, dim2) float64 576B 0.1257 -0.1321 0.6404 ... 0.05203 0.6837

TestCombineND.test_concat_twice[new_dim] AssertionError: Left and right Dataset objects are not equal Differing dimensions: (new_dim: 3, dim1: 16, dim2: 9, dim3: 10, time: 20) != (dim1: 16, dim2: 9, dim3: 10, time: 20) Differing data variables: L var2 (new_dim, dim1, dim2) float64 3kB 1.004 -0.6179 ... 0.6308 1.548 R var2 (dim1, dim2) float64 1kB 1.004 -0.6179 1.822 ... 2.463 -0.2461 L var3 (new_dim, dim3, dim1) float64 4kB 0.3194 -0.3589 ... 1.271 1.32 R var3 (dim3, dim1) float64 1kB 0.3194 -0.3589 -1.902 ... -1.198 1.12 L var1 (new_dim, dim1, dim2) float64 3kB 0.1257 -0.1321 ... -0.1524 0.2424 R var1 (dim1, dim2) float64 1kB 0.1257 -0.1321 0.6404 ... 0.328 -0.6092

TestNestedCombine.test_nested_concat_along_new_dim AssertionError: Left and right Dataset objects are not identical Differing dimensions: (t: 2, x: 1) != (x: 1) Differing data variables: L a (t, x) int64 16B 10 20 R a (x) int64 8B 10

TestNestedCombine.test_nested_merge ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_missing_data_new_dim ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2.0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value3] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestCombineDatasetsbyCoords.test_combine_by_coords ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestCombineND.test_concat_once[new_dim] AssertionError: Left and right Dataset objects are not equal Differing dimensions: (new_dim: 2, dim1: 8, dim2: 9, dim3: 10, time: 20) != (dim1: 8, dim2: 9, dim3: 10, time: 20) Differing data variables: L var1 (new_dim, dim1, dim2) float64 1kB 0.1257 -0.1321 ... 1.225 -0.2975 R var1 (dim1, dim2) float64 576B 0.1257 -0.1321 0.6404 ... 0.05203 0.6837 L var2 (new_dim, dim1, dim2) float64 1kB 1.004 -0.6179 ... -0.0539 R var2 (dim1, dim2) float64 576B 1.004 -0.6179 1.822 ... 0.3712 0.3828 L var3 (new_dim, dim3, dim1) float64 1kB 0.3194 -0.3589 ... -0.1366 R var3 (dim3, dim1) float64 640B 0.3194 -0.3589 -1.902 ... -0.6486 0.678

TestCombineND.test_concat_twice[new_dim] AssertionError: Left and right Dataset objects are not equal Differing dimensions: (new_dim: 3, dim1: 16, dim2: 9, dim3: 10, time: 20) != (dim1: 16, dim2: 9, dim3: 10, time: 20) Differing data variables: L var1 (new_dim, dim1, dim2) float64 3kB 0.1257 -0.1321 ... -0.1524 0.2424 R var1 (dim1, dim2) float64 1kB 0.1257 -0.1321 0.6404 ... 0.328 -0.6092 L var2 (new_dim, dim1, dim2) float64 3kB 1.004 -0.6179 ... 0.6308 1.548 R var2 (dim1, dim2) float64 1kB 1.004 -0.6179 1.822 ... 2.463 -0.2461 L var3 (new_dim, dim3, dim1) float64 4kB 0.3194 -0.3589 ... 1.271 1.32 R var3 (dim3, dim1) float64 1kB 0.3194 -0.3589 -1.902 ... -1.198 1.12

TestNestedCombine.test_nested_concat_along_new_dim AssertionError: Left and right Dataset objects are not identical Differing dimensions: (t: 2, x: 1) != (x: 1) Differing data variables: L a (t, x) int64 16B 10 20 R a (x) int64 8B 10

TestDataArrayAndDataset.test_concat_loads_variables ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='equals'. The recommendation is to set compat explicitly for this case.

TestNestedCombine.test_nested_merge ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_missing_data_new_dim ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2.0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value3] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. 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

TestDataArrayAndDataset.test_concat_loads_variables ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='equals'. The recommendation is to set compat explicitly for this case.

TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[outer-different-nested-t] ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.

TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[outer-different-by_coords-None] ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.

TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[inner-different-nested-t] ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.

TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[inner-different-by_coords-None] ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.

TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[left-different-nested-t] ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.

TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[left-different-by_coords-None] ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.

TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[right-different-nested-t] ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.

TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_does_same_as_concat[right-different-by_coords-None] ValueError: Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case.

TestOpenMFDatasetWithDataVarsAndCoordsKw.test_open_mfdataset_exact_join_raises_error[different-by_coords-None] AssertionError: Regex pattern did not match. Regex: 'cannot align objects.*join.*exact.*' Input: "Cannot specify both data_vars='different' and compat='override'. Error might be related to new default (compat='override'). Previously the default was compat='no_conflicts'. The recommendation is to set compat explicitly for this case."

TestCombineND.test_concat_once[new_dim] AssertionError: Left and right Dataset objects are not equal Differing dimensions: (new_dim: 2, dim1: 8, dim2: 9, dim3: 10, time: 20) != (dim1: 8, dim2: 9, dim3: 10, time: 20) Differing data variables: L var2 (new_dim, dim1, dim2) float64 1kB 1.004 -0.6179 ... -0.0539 R var2 (dim1, dim2) float64 576B 1.004 -0.6179 1.822 ... 0.3712 0.3828 L var3 (new_dim, dim3, dim1) float64 1kB 0.3194 -0.3589 ... -0.1366 R var3 (dim3, dim1) float64 640B 0.3194 -0.3589 -1.902 ... -0.6486 0.678 L var1 (new_dim, dim1, dim2) float64 1kB 0.1257 -0.1321 ... 1.225 -0.2975 R var1 (dim1, dim2) float64 576B 0.1257 -0.1321 0.6404 ... 0.05203 0.6837

TestCombineND.test_concat_twice[new_dim] AssertionError: Left and right Dataset objects are not equal Differing dimensions: (new_dim: 3, dim1: 16, dim2: 9, dim3: 10, time: 20) != (dim1: 16, dim2: 9, dim3: 10, time: 20) Differing data variables: L var2 (new_dim, dim1, dim2) float64 3kB 1.004 -0.6179 ... 0.6308 1.548 R var2 (dim1, dim2) float64 1kB 1.004 -0.6179 1.822 ... 2.463 -0.2461 L var3 (new_dim, dim3, dim1) float64 4kB 0.3194 -0.3589 ... 1.271 1.32 R var3 (dim3, dim1) float64 1kB 0.3194 -0.3589 -1.902 ... -1.198 1.12 L var1 (new_dim, dim1, dim2) float64 3kB 0.1257 -0.1321 ... -0.1524 0.2424 R var1 (dim1, dim2) float64 1kB 0.1257 -0.1321 0.6404 ... 0.328 -0.6092

TestNestedCombine.test_nested_concat_along_new_dim AssertionError: Left and right Dataset objects are not identical Differing dimensions: (t: 2, x: 1) != (x: 1) Differing data variables: L a (t, x) int64 16B 10 20 R a (x) int64 8B 10

TestNestedCombine.test_nested_merge ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_missing_data_new_dim ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[2.0] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestNestedCombine.test_combine_nested_fill_value[fill_value3] ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

TestCombineDatasetsbyCoords.test_combine_by_coords ValueError: cannot align objects with join='exact' where index/labels/sizes are not equal along these coordinates (dimensions): 'x' ('x',) Error might be related to new default (join='exact'). Previously the default was join='outer'. The recommendation is to set join explicitly for this case.

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='4a786997-b8db-4168-8382-6738b3dcff11'), 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='4a786997-b8db-4168-8382-6738b3dcff11'), 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='367aaa56-84a2-45a0-95d4-21a34afe3cfb'), 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='0e8b3f9f-4069-4b16-9da7-b87ca0f92c5c'), 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='367aaa56-84a2-45a0-95d4-21a34afe3cfb'), 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='0e8b3f9f-4069-4b16-9da7-b87ca0f92c5c'), 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.

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.

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.

deallocating CachingFileManager(<class 'h5netcdf.core.File'>, <fsspec.implementations.local.LocalFileOpener object at 0x7f7b9a3ce860>, mode='r', kwargs={'invalid_netcdf': None, 'decode_vlen_strings': True, 'driver': None, 'phony_dims': 'access'}, manager_id='0e84129f-1e33-4ed3-8b85-d450cd305af7'), but file is not already closed. This may indicate a bug.

deallocating CachingFileManager(<class 'h5netcdf.core.File'>, <fsspec.implementations.local.LocalFileOpener object at 0x7f7b9a3ce470>, mode='r', kwargs={'invalid_netcdf': None, 'decode_vlen_strings': True, 'driver': None, 'phony_dims': 'access'}, manager_id='71a2fade-23b2-4b9a-8412-f34d6941d6f5'), but file is not already closed. This may indicate a bug.

deallocating CachingFileManager(<class 'h5netcdf.core.File'>, <fsspec.implementations.local.LocalFileOpener object at 0x7f7b9a3ce860>, mode='r', kwargs={'invalid_netcdf': None, 'decode_vlen_strings': True, 'driver': None, 'phony_dims': 'access'}, manager_id='0e84129f-1e33-4ed3-8b85-d450cd305af7'), but file is not already closed. This may indicate a bug.

deallocating CachingFileManager(<class 'h5netcdf.core.File'>, <fsspec.implementations.local.LocalFileOpener object at 0x7f7b9a3ce470>, mode='r', kwargs={'invalid_netcdf': None, 'decode_vlen_strings': True, 'driver': None, 'phony_dims': 'access'}, manager_id='71a2fade-23b2-4b9a-8412-f34d6941d6f5'), 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.

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.

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`.

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.

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.

invalid value encountered in cast

invalid value encountered in cast

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`.

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`.