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Return int64 when pandas compatible mode is turned on for get_indexer #15659

Merged
merged 1 commit into from
May 6, 2024
Merged

Return int64 when pandas compatible mode is turned on for get_indexer #15659

merged 1 commit into from
May 6, 2024

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galipremsagar
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@galipremsagar galipremsagar commented May 5, 2024 •
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Description

Fixes: #15658

This PR makes a change to get_indexer to return int64 indices when pandas compatible mode is turned on.

Forks out of #14534

Checklist

  • I am familiar with the Contributing Guidelines.
  • New or existing tests cover these changes.
  • The documentation is up to date with these changes.

@galipremsagar galipremsagar added bug Something isn't working non-breaking Non-breaking change cudf.pandas Issues specific to cudf.pandas labels May 5, 2024
@galipremsagar galipremsagar self-assigned this May 5, 2024
@galipremsagar galipremsagar requested a review from a team as a code owner May 5, 2024 20:39
@github-actions github-actions bot added the Python Affects Python cuDF API. label May 5, 2024
@galipremsagar
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The failures we see in CI seem to be flaky and pass locally.

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/merge

@rapids-bot rapids-bot bot merged commit 4ce6674 into rapidsai:branch-24.06 May 6, 2024
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@galipremsagar galipremsagar added the 5 - Ready to Merge Testing and reviews complete, ready to merge label May 6, 2024
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@mroeschke mroeschke mroeschke approved these changes

@wence- wence- Awaiting requested review from wence- wence- is a code owner automatically assigned from rapidsai/cudf-python-codeowners

@brandon-b-miller brandon-b-miller Awaiting requested review from brandon-b-miller brandon-b-miller is a code owner automatically assigned from rapidsai/cudf-python-codeowners

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@galipremsagar galipremsagar

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5 - Ready to Merge Testing and reviews complete, ready to merge bug Something isn't working cudf.pandas Issues specific to cudf.pandas non-breaking Non-breaking change Python Affects Python cuDF API.
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cuDF/Dask/Numba/UCX
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Successfully merging this pull request may close these issues.

[BUG] Index.get_indexer returns int32 array instead int64
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@galipremsagar @mroeschke