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dask
2024.8.0
scipy.sparse.{csr,csc}
See: https://dev.azure.com/scverse/anndata/_build/results?buildId=7565&view=results
Traceback:
../../../micromamba/envs/scipy-dev/lib/python3.11/functools.py:909: in wrapper return dispatch(args[0].__class__)(*args, **kw) src/anndata/tests/helpers.py:688: in assert_adata_equal assert_equal( ../../../micromamba/envs/scipy-dev/lib/python3.11/functools.py:909: in wrapper return dispatch(args[0].__class__)(*args, **kw) src/anndata/tests/helpers.py:551: in assert_equal_dask_array assert_equal(b, a.compute(), exact, elem_name) venv/lib/python3.11/site-packages/dask/base.py:376: in compute (result,) = compute(self, traverse=False, **kwargs) venv/lib/python3.11/site-packages/dask/base.py:662: in compute results = schedule(dsk, keys, **kwargs) def concatenate_arrays(arrs, sorter, axis): return np.take(np.concatenate(arrs, axis=axis), np.argsort(sorter), axis=axis) ValueError: zero-dimensional arrays cannot be concatenated
----- anndata 0.11.0.dev158+ge17c5bbb session_info 1.0.0 ----- asciitree NA awkward 2.6.7 awkward_cpp NA cloudpickle 3.0.0 cython_runtime NA dask 2024.8.0 dateutil 2.9.0.post0 fsspec 2024.6.1 h5py 3.11.0 importlib_metadata NA jinja2 3.1.4 markupsafe 2.1.5 msgpack 1.0.8 natsort 8.4.0 numcodecs 0.13.0 numpy 2.0.1 packaging 24.1 pandas 2.2.2 psutil 6.0.0 pyarrow 17.0.0 pytz 2024.1 scipy 1.13.1 six 1.16.0 tblib 3.0.0 tlz 0.12.1 toolz 0.12.1 yaml 6.0.2 zarr 2.18.2 zipp NA ----- Python 3.11.8 | packaged by conda-forge | (main, Feb 16 2024, 20:49:36) [Clang 16.0.6 ] macOS-13.6.1-arm64-arm-64bit ----- Session information updated at 2024-08-08 15:54
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See dask/dask#11290
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See: https://dev.azure.com/scverse/anndata/_build/results?buildId=7565&view=results
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The text was updated successfully, but these errors were encountered: