CUDA: Add device-side tests for Python builtins (abs, min, max, bool)…

[CodersAcademy006]

This PR adds kernel-based tests for device-side execution of common Python builtins (abs, min, max, bool) on supported dtypes. The tests are:

• Skipped under cudasim to avoid simulator/Python semantic mismatches

• Compared against NumPy as the ground truth

• Focused on CUDA-safe, well-defined builtins only

• This improves CUDA test parity and references issue Incomplete Test Coverage in Numba-CUDA #515.

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[greptile-apps]

Greptile Summary

Adds device-side CUDA tests for Python builtins (abs, min, max, bool) to improve test parity with Numba (issue #515).

• Tests correctly skip execution under cudasim to avoid semantic mismatches
• Proper edge case coverage including NaN propagation in floating-point operations
• Helper method _launch_1d validates all array sizes match before kernel launch
• Tests compare against NumPy as ground truth using appropriate assertion methods

All previously identified concerns are style-related (extra blank lines, bounds check consistency patterns) and have been documented in prior review threads. The implementation is functionally correct and adds valuable test coverage.

Confidence Score: 4/5

• Safe to merge with minor style improvements already noted in previous review
• The PR adds comprehensive test coverage for CUDA builtins (abs, min, max, bool) with proper edge case handling including NaN values. All previously identified issues are style-related (extra blank lines, bounds check patterns) and don't affect correctness. The _launch_1d helper validates array sizes before kernel launch, ensuring safe execution.
• No files require special attention - all concerns are minor style issues

Important Files Changed

Filename	Overview
numba_cuda/numba/cuda/tests/test_builtins.py	New test file for CUDA builtin functions - all previously identified style issues have been addressed, tests are well-structured with proper NaN handling

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