feat: add print support for int64 tuples

[cpcloud]

Add support for printing tuples of int64. This is useful for printing array shapes in kernels.

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[greptile-apps]

Greptile Overview

Greptile Summary

This PR adds support for printing UniTuple(int64, n) tuples in CUDA kernels, enabling convenient printing of array shapes and other int64 tuple data.

Key changes:

• Implemented tuple_print_impl handler registered for types.UniTuple that formats tuples with parentheses and comma-separated values
• Uses %lld format specifier appropriate for int64 elements, consistent with how other int64 values are printed
• Follows the same pattern as the existing Dim3 print implementation (extracting values and building format string)
• Includes proper error handling for unsupported tuple element types
• Added comprehensive test case validating the output format

Implementation notes:

• Only supports int64 element type; other types raise NotImplementedError with a clear message
• The implementation correctly uses builder.extract_value() to extract individual tuple elements
• Format string generation is dynamic based on tuple size, handling any number of elements including empty tuples

Confidence Score: 4/5

• This PR is safe to merge with minimal risk
• The implementation follows established patterns in the codebase (mirrors Dim3 handling), includes proper type checking and error handling, and has test coverage. The only minor issue is a style suggestion for improved error message clarity, which doesn't affect functionality.
• No files require special attention

Important Files Changed

File Analysis

Filename	Score	Overview
numba_cuda/numba/cuda/printimpl.py	4/5	Added print support for int64 UniTuples following the existing Dim3 pattern; minor issue with error message clarity
numba_cuda/numba/cuda/tests/cudapy/test_print.py	5/5	Added test case for printing int64 tuples with proper expected output validation

[greptile-apps]

Additional Comments (1)

1. numba_cuda/numba/cuda/printimpl.py, line 39 (link)

   style: Error message shows full tuple type instead of element type. Consider using ty.dtype instead of ty for clarity

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[cpcloud]

/ok to test