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This PR adds kernel-based tests for device-side array manipulation operations:

  • 1D indexing

  • 1D slicing

  • Simple reshape (contiguous, view-compatible)

Tests are skipped under cudasim due to divergent semantics, and NumPy is used as the ground truth. Scope is intentionally limited to safe, well-defined CUDA operations (no fancy indexing, negative strides, or broadcasting).
#515

…ds kernel-based tests for device-side 1D indexing, 1D slicing, and simple reshape (contiguous, view-compatible) for arrays. Skips under cudasim. NumPy is used as the reference. Scope is intentionally limited to safe, well-defined CUDA operations.
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…complex64, uint8 dtypes\n- Add zero-length slice edge case\n- Add comments explaining kernel logic and test rationale\n- Use larger arrays for more robust validation\n\nAddresses review feedback for broader coverage and maintainability.
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greptile-apps bot commented Jan 20, 2026

Greptile Summary

This PR adds comprehensive kernel-based tests for device-side array manipulation operations (1D indexing, 1D slicing, and simple reshape). The tests validate CUDA array operations against NumPy as ground truth, covering multiple dtypes (int32, float32, complex64, uint8) and edge cases like zero-length slices.

  • All previous review feedback has been addressed: SPDX license header is present and bounds safety is documented
  • Tests appropriately skip under cudasim due to semantic differences
  • Kernel implementations are straightforward and correct
  • Test coverage is thorough with multiple dtypes and edge cases
  • Directly addresses issue Incomplete Test Coverage in Numba-CUDA #515 for improving test coverage in numba-cuda

Confidence Score: 5/5

  • This PR is safe to merge with no identified issues
  • The PR adds well-structured test code with proper licensing, clear comments, comprehensive coverage across multiple dtypes and edge cases, and all previous review feedback has been addressed. The kernels are simple and correct, with documented safety guarantees.
  • No files require special attention

Important Files Changed

Filename Overview
numba_cuda/numba/cuda/tests/test_array_manipulation.py New test file adding comprehensive device-side array manipulation tests (indexing, slicing, reshape) with multiple dtypes and edge cases. All previous review feedback addressed.

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1 file reviewed, 1 comment

Edit Code Review Agent Settings | Greptile

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
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1 file reviewed, 1 comment

Edit Code Review Agent Settings | Greptile

…hy explicit bounds check is not needed in slice_kernel (test parameters guarantee safety)
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