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Describe the bug Ran into a bug where sorting list values in a series led to a few rows producing incorrectly sorted results.
Steps/Code to reproduce bug
import cudf df = cudf.read_parquet("listtype.parquet") sorted_df = df.a.list.sort_values() sorted_df.to_pandas().apply(lambda x: sorted(x) != x).sum() 3
Effectively 3 rows returned incorrect results.
More specifically these 3 indices: [79888, 122495, 163667] have incorrectly sorted results.
Repro Data: data.tgz
Expected behavior Correctly sorted values
Environment overview (please complete the following information)
docker pull
docker run
Environment details Please run and paste the output of the cudf/print_env.sh script here, to gather any other relevant environment details
cudf/print_env.sh
Additional context Add any other context about the problem here.
The text was updated successfully, but these errors were encountered:
I was able to reproduce in 24.10.
Sorry, something went wrong.
e8156d4
davidwendt
Successfully merging a pull request may close this issue.
Describe the bug
Ran into a bug where sorting list values in a series led to a few rows producing incorrectly sorted results.
Steps/Code to reproduce bug
Effectively 3 rows returned incorrect results.
More specifically these 3 indices: [79888, 122495, 163667] have incorrectly sorted results.
Repro Data: data.tgz
Expected behavior
Correctly sorted values
Environment overview (please complete the following information)
docker pull
&docker run
commands usedEnvironment details
Please run and paste the output of the
cudf/print_env.sh
script here, to gather any other relevant environment detailsAdditional context
Add any other context about the problem here.
The text was updated successfully, but these errors were encountered: