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.

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.