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Sync v13.4-public from internal repo

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cuda-samples sync
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2
python/1_GettingStarted/simplePrint/README.md
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@@ -259,5 +259,5 @@ Try modifying:
- [nvmath-python Device APIs](https://docs.nvidia.com/cuda/nvmath-python/latest/device-apis/index.html) - Optimized math operations for Numba CUDA kernels
### CUDA References:
- [CUDA C Programming Guide - Printf](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#formatted-output)
- [CUDA C Programming Guide - Printf](https://docs.nvidia.com/cuda/cuda-programming-guide/05-appendices/cpp-language-support.html#printf)
- [C++ simplePrintf Sample](https://github.com/NVIDIA/cuda-samples/tree/master/Samples/0_Introduction/simplePrintf)

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python/1_GettingStarted/simplePrint/requirements.txt
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@@ -3,5 +3,9 @@
cuda-python>=13.0.0
cuda-core>=1.0.0
# Numba JIT uses nvJitLink from pip; keep in step with cuda-bindings (e.g. 13.2.x).
# Also pin libnvvm from pip so Numba doesn't fall back to a mismatched
# system-toolkit libnvvm (nvJitLink ERROR_OUTDATED_LIBRARY).
nvidia-nvvm>=13.2.0
nvidia-nvjitlink>=13.2.0
numba-cuda>=0.29.0
numpy<2.5