[REVIEW] Pin dask and distributed for release

[galipremsagar]

This PR pins dask and distributed to 2022.11.1 for 22.12 release.

xref: rapidsai/cudf#12165

[cjnolet]

@galipremsagar is this one ready to be merged?

[galipremsagar]

@galipremsagar is this one ready to be merged?

No Corey, nvidia dask team has decided to hold off merging dask pinnings until Code Freeze/Testing (others) date, which is Dec 1st. There is also another anticipated release of dask between now and then, hence holding off and tagged DO NOT MERGE for now.

[cjnolet]

Ah, got it. I just realized the one we just merged into raft was to revert the pin for the dask version. I missed that when I read the title of the PR.

[cjnolet]

rerun tests

[codecov-commenter]

Codecov Report

Base: 79.44% // Head: 80.36% // Increases project coverage by +0.92% 🎉

Coverage data is based on head (c4e8407) compared to base (6500897).
Patch has no changes to coverable lines.

Additional details and impacted files

@@               Coverage Diff                @@
##           branch-22.12    #4999      +/-   ##
================================================
+ Coverage         79.44%   80.36%   +0.92%     
================================================
  Files               184      184              
  Lines             11698    12647     +949     
================================================
+ Hits               9293    10164     +871     
- Misses             2405     2483      +78     

Flag	Coverage Δ
dask	46.34% <ø> (+0.41%)	⬆️
non-dask	70.42% <ø> (+1.45%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
python/cuml/comm/serialize.py	92.72% <0.00%> (-2.28%)	⬇️
python/cuml/common/array_sparse.py	95.34% <0.00%> (-1.21%)	⬇️
python/cuml/common/input_utils.py	93.13% <0.00%> (-0.73%)	⬇️
python/cuml/dask/cluster/kmeans.py	94.79% <0.00%> (-0.60%)	⬇️
...ython/cuml/dask/ensemble/randomforestclassifier.py	60.71% <0.00%> (-0.47%)	⬇️
python/cuml/benchmark/datagen.py	18.22% <0.00%> (-0.47%)	⬇️
python/cuml/dask/preprocessing/LabelEncoder.py	93.02% <0.00%> (-0.32%)	⬇️
python/cuml/benchmark/nvtx_benchmark.py	0.00% <0.00%> (ø)
python/cuml/experimental/common/__init__.py	100.00% <0.00%> (ø)
...party/sklearn/preprocessing/_column_transformer.py	75.18% <0.00%> (+0.42%)	⬆️
... and 9 more

Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here.

☔ View full report at Codecov.
📢 Do you have feedback about the report comment? Let us know in this issue.

[cjnolet]

@gpucibot merge