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TEST: Reuse CUDA interface test inputs - #24123

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vyasr:codex/reuse-buffer-cuda-interface-test-inputs
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TEST: Reuse CUDA interface test inputs#24123
vyasr wants to merge 1 commit into
NVIDIA:mainfrom
vyasr:codex/reuse-buffer-cuda-interface-test-inputs

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@vyasr

@vyasr vyasr commented Sep 10, 2026

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Description

Reuses each CUDA-interface source array across dtype checks while preserving every shape, dtype conversion, and assertion.

Checklist

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

@vyasr
vyasr requested a review from a team as a code owner September 10, 2026 21:30
@vyasr
vyasr requested a review from Matt711 September 10, 2026 21:30
@vyasr vyasr added tests Unit testing for project Python Affects Python cuDF API. Performance Performance related issue improvement Improvement / enhancement to an existing function non-breaking Non-breaking change labels Sep 10, 2026
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coderabbitai Bot commented Sep 10, 2026

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No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info
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📥 Commits

Reviewing files that changed from the base of the PR and between e78c254 and f32df19.

📒 Files selected for processing (1)
  • python/cudf/cudf/tests/private_objects/test_buffer.py

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📝 Summary

Summary by CodeRabbit

  • Tests

    • Updated dtype buffer coverage to iterate through supported data types within the test.
    • Simplified the test interface while preserving validation across supported dtypes.
  • Chores

    • Updated the SPDX copyright year range.

Walkthrough

The buffer test now evaluates four supported dtypes through an internal loop. The test signature no longer accepts a separate dtype argument. The SPDX copyright range includes 2026.

Changes

Buffer dtype validation

Layer / File(s) Summary
Internal dtype coverage
python/cudf/cudf/tests/private_objects/test_buffer.py
The test loops over uint8, int8, float32, and int32, then validates each converted array against its byte view. The SPDX notice includes 2026.

Priority: ⬇️ Low

Estimated code review effort: 2 (Simple) | ~10 minutes

Suggested reviewers: mroeschke

Merge Risk: ⚪ Minimal · up to f32df

The updated test retains coverage for each supported dtype and introduces no actionable merge risk.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 2 functions across 1 files. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly identifies a test change that reuses CUDA interface test inputs. It matches the main change in the pull request.
Description check ✅ Passed The description directly explains the reuse of CUDA-interface source arrays across dtype checks and matches the changeset.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
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improvement Improvement / enhancement to an existing function non-breaking Non-breaking change Performance Performance related issue Python Affects Python cuDF API. tests Unit testing for project

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