TestDask.test_dask_roundtrip Failed: Timeout >180.0s

Process completed with exit code 1.

test_cross[a5-b5-ae5-be5-cartesian--1-True] ValueError: dimension cartesian on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk into a single array chunk along this dimension, i.e., ``.chunk(dict(cartesian=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantly increase memory usage.

test_cross[a6-b6-ae6-be6-cartesian--1-True] ValueError: dimension cartesian on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk into a single array chunk along this dimension, i.e., ``.chunk(dict(cartesian=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantly increase memory usage.

Process completed with exit code 1.

test_cross[a5-b5-ae5-be5-cartesian--1-True] ValueError: dimension cartesian on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk into a single array chunk along this dimension, i.e., ``.chunk(dict(cartesian=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantly increase memory usage.

test_cross[a6-b6-ae6-be6-cartesian--1-True] ValueError: dimension cartesian on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk into a single array chunk along this dimension, i.e., ``.chunk(dict(cartesian=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantly increase memory usage.

Process completed with exit code 1.

test_cross[a5-b5-ae5-be5-cartesian--1-True] ValueError: dimension cartesian on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk into a single array chunk along this dimension, i.e., ``.chunk(dict(cartesian=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantly increase memory usage.

test_cross[a6-b6-ae6-be6-cartesian--1-True] ValueError: dimension cartesian on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk into a single array chunk along this dimension, i.e., ``.chunk(dict(cartesian=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantly increase memory usage.

Process completed with exit code 1.

test_cross[a5-b5-ae5-be5-cartesian--1-True] ValueError: dimension cartesian on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk into a single array chunk along this dimension, i.e., ``.chunk(dict(cartesian=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantly increase memory usage.

test_cross[a6-b6-ae6-be6-cartesian--1-True] ValueError: dimension cartesian on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk into a single array chunk along this dimension, i.e., ``.chunk(dict(cartesian=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantly increase memory usage.

Process completed with exit code 1.

test_cross[a5-b5-ae5-be5-cartesian--1-True] ValueError: dimension cartesian on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk into a single array chunk along this dimension, i.e., ``.chunk(dict(cartesian=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantly increase memory usage.

test_cross[a6-b6-ae6-be6-cartesian--1-True] ValueError: dimension cartesian on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk into a single array chunk along this dimension, i.e., ``.chunk(dict(cartesian=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantly increase memory usage.

Process completed with exit code 1.

test_cross[a5-b5-ae5-be5-cartesian--1-True] ValueError: dimension cartesian on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk into a single array chunk along this dimension, i.e., ``.chunk(dict(cartesian=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantly increase memory usage.

test_cross[a6-b6-ae6-be6-cartesian--1-True] ValueError: dimension cartesian on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk into a single array chunk along this dimension, i.e., ``.chunk(dict(cartesian=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantly increase memory usage.

Process completed with exit code 1.

Failed to save: Unable to reserve cache with key Linux-X64-py3.12-2024-08-09-2ba9cf59902a819d4dd7f3d43aca41383eaec85525bffdce923e2f49cdfc391f-linux-64-xarray-tests-args-ad891c7-root-dcc80ee-file-1193966a02bd62e35978527e325897c86bd531b023e1d98548fdefb15405ce07, another job may be creating this cache. More details: Cache already exists. Scope: refs/pull/9328/merge, Key: Linux-X64-py3.12-2024-08-09-2ba9cf59902a819d4dd7f3d43aca41383eaec85525bffdce923e2f49cdfc391f-linux-64-xarray-tests-args-ad891c7-root-dcc80ee-file-1193966a02bd62e35978527e325897c86bd531b023e1d98548fdefb15405ce07, Version: a2d23e1ed2659ed82c2139af6b060439ac5345ea8dad0c956f30fdd3bfee6aca

Failed to save: Unable to reserve cache with key Linux-X64-py3.9-2024-08-09-2ba9cf59902a819d4dd7f3d43aca41383eaec85525bffdce923e2f49cdfc391f-linux-64-xarray-tests-args-5c82b85-root-dcc80ee-file-1193966a02bd62e35978527e325897c86bd531b023e1d98548fdefb15405ce07, another job may be creating this cache. More details: Cache already exists. Scope: refs/pull/9328/merge, Key: Linux-X64-py3.9-2024-08-09-2ba9cf59902a819d4dd7f3d43aca41383eaec85525bffdce923e2f49cdfc391f-linux-64-xarray-tests-args-5c82b85-root-dcc80ee-file-1193966a02bd62e35978527e325897c86bd531b023e1d98548fdefb15405ce07, Version: a2d23e1ed2659ed82c2139af6b060439ac5345ea8dad0c956f30fdd3bfee6aca

Failed to save: Unable to reserve cache with key Linux-X64-py3.12-2024-08-09-2ba9cf59902a819d4dd7f3d43aca41383eaec85525bffdce923e2f49cdfc391f-linux-64-xarray-tests-args-ad891c7-root-dcc80ee-file-1193966a02bd62e35978527e325897c86bd531b023e1d98548fdefb15405ce07, another job may be creating this cache. More details: Cache already exists. Scope: refs/pull/9328/merge, Key: Linux-X64-py3.12-2024-08-09-2ba9cf59902a819d4dd7f3d43aca41383eaec85525bffdce923e2f49cdfc391f-linux-64-xarray-tests-args-ad891c7-root-dcc80ee-file-1193966a02bd62e35978527e325897c86bd531b023e1d98548fdefb15405ce07, Version: a2d23e1ed2659ed82c2139af6b060439ac5345ea8dad0c956f30fdd3bfee6aca

artifacts/Test results for Linux-3.12 flaky/pytest.xml [took 3m 0s]

artifacts/Test results for Linux-3.12/pytest.xml [took 0s] artifacts/Test results for Linux-3.9/pytest.xml [took 0s] artifacts/Test results for Windows-3.12/pytest.xml [took 0s] artifacts/Test results for Windows-3.9/pytest.xml [took 0s] artifacts/Test results for macOS-3.12/pytest.xml [took 0s] artifacts/Test results for macOS-3.9/pytest.xml [took 0s]

artifacts/Test results for Linux-3.12/pytest.xml [took 0s] artifacts/Test results for Linux-3.9/pytest.xml [took 0s] artifacts/Test results for Windows-3.12/pytest.xml [took 0s] artifacts/Test results for Windows-3.9/pytest.xml [took 0s] artifacts/Test results for macOS-3.12/pytest.xml [took 0s] artifacts/Test results for macOS-3.9/pytest.xml [took 0s]

There are 1601 skipped tests, see "Raw output" for the list of skipped tests 1 to 697.

There are 1601 skipped tests, see "Raw output" for the list of skipped tests 698 to 1382.

There are 1601 skipped tests, see "Raw output" for the list of skipped tests 1383 to 1601.

There are 20077 tests, see "Raw output" for the list of tests 1 to 866.

There are 20077 tests, see "Raw output" for the list of tests 867 to 1553.

There are 20077 tests, see "Raw output" for the list of tests 1554 to 2238.

There are 20077 tests, see "Raw output" for the list of tests 2239 to 2926.

There are 20077 tests, see "Raw output" for the list of tests 2927 to 3462.

There are 20077 tests, see "Raw output" for the list of tests 3463 to 4063.

There are 20077 tests, see "Raw output" for the list of tests 4064 to 4701.

There are 20077 tests, see "Raw output" for the list of tests 4702 to 5383.

There are 20077 tests, see "Raw output" for the list of tests 5384 to 6172.

There are 20077 tests, see "Raw output" for the list of tests 6173 to 6926.

There are 20077 tests, see "Raw output" for the list of tests 6927 to 7668.

There are 20077 tests, see "Raw output" for the list of tests 7669 to 8446.

There are 20077 tests, see "Raw output" for the list of tests 8447 to 9335.

There are 20077 tests, see "Raw output" for the list of tests 9336 to 10168.

There are 20077 tests, see "Raw output" for the list of tests 10169 to 10949.

There are 20077 tests, see "Raw output" for the list of tests 10950 to 11808.

There are 20077 tests, see "Raw output" for the list of tests 11809 to 12698.

There are 20077 tests, see "Raw output" for the list of tests 12699 to 13381.

There are 20077 tests, see "Raw output" for the list of tests 13382 to 13998.

There are 20077 tests, see "Raw output" for the list of tests 13999 to 14623.

There are 20077 tests, see "Raw output" for the list of tests 14624 to 15258.

There are 20077 tests, see "Raw output" for the list of tests 15259 to 15951.

There are 20077 tests, see "Raw output" for the list of tests 15952 to 16633.

There are 20077 tests, see "Raw output" for the list of tests 16634 to 17359.

There are 20077 tests, see "Raw output" for the list of tests 17360 to 18051.

There are 20077 tests, see "Raw output" for the list of tests 18052 to 18762.

There are 20077 tests, see "Raw output" for the list of tests 18763 to 19596.