[BUG] Exception when running a simple StandardScaler example using a container without dask_cudf

[jcfaracco]

Describe the bug I'm using a singularity RAPIDS container and I'm getting a weird exception when I run the StandardScaler example from CuML doc.

Steps/Code to reproduce bug Use any clean environment without dask_cudf and try the StandardScaler example from CuML doc.

Expected behavior The simple code should be executed without any issue.

Environment details (please complete the following information):

• Environment location: Singularity Container (from docker bootstrap)
• Linux Distro/Architecture: CentOS 8
• GPU Model/Driver: 2x NVIDIA A100
• CUDA: 11.5
• Method of cuDF & cuML install: conda

Additional Info I've already opened a PR to fix this issue #4747

[jcfaracco]

This is curious because I'm not using dask_cudf structures in my example, but the error appears (see PR for further details).

The packages related to dask_cudf is installed, but it has a bug (which was fixed in recent versions).

Traceback (most recent call last):
  File "scaler_test.py", line 3, in <module>
    import dask_cudf
  File "/opt/conda/envs/rapids/lib/python3.8/site-packages/dask_cudf/__init__.py", line 6, in <module>
    from . import backends
  File "/opt/conda/envs/rapids/lib/python3.8/site-packages/dask_cudf/backends.py", line 21, in <module>
    from dask.dataframe.utils import (
ImportError: cannot import name 'is_arraylike' from 'dask.dataframe.utils' (/opt/conda/envs/rapids/lib/python3.8/site-packages/dask/dataframe/utils.py)

The function is_arraylike is defined inside dask.utils and, again, it was fixed.

The point is... an external error is causing an import failure which affects an example that does not use dask_cudf. The PR should cover this specific case, I guess.

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This issue has been labeled inactive-90d due to no recent activity in the past 90 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed.