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‎.github/workflows/test-wheel-linux.yml‎

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@@ -110,8 +110,6 @@ jobs:
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fail-fast: false
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matrix: ${{ fromJSON(needs.compute-matrix.outputs.MATRIX) }}
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runs-on: "${{ matrix.FLAVOR || 'linux' }}-${{ matrix.ARCH }}-gpu-${{ matrix.GPU }}-${{ matrix.RUNNER_DRIVER }}-${{ matrix.GPU_COUNT }}"
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# TODO: remove continue-on-error once 3.15 is officially supported
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continue-on-error: ${{ startsWith(matrix.PY_VER, '3.15') }}
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# The build stage could fail but we want the CI to keep moving.
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if: ${{ github.repository_owner == 'nvidia' && !cancelled() }}
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# Our self-hosted runners require a container

‎.github/workflows/test-wheel-windows.yml‎

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fail-fast: false
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matrix: ${{ fromJSON(needs.compute-matrix.outputs.MATRIX) }}
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if: ${{ github.repository_owner == 'nvidia' && !cancelled() }}
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# TODO: remove continue-on-error once 3.15 is officially supported
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continue-on-error: ${{ startsWith(matrix.PY_VER, '3.15') }}
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runs-on: "windows-${{ matrix.ARCH }}-gpu-${{ matrix.GPU }}-${{ matrix.RUNNER_DRIVER }}-${{ matrix.GPU_COUNT }}"
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steps:
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- name: Enable Git symlinks (Windows, must precede checkout)

‎cuda_bindings/pyproject.toml‎

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@@ -27,6 +27,7 @@ classifiers = [
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Programming Language :: Python :: 3.14",
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"Programming Language :: Python :: 3.15",
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"Environment :: GPU :: NVIDIA CUDA",
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]
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dynamic = ["version", "readme"]

‎cuda_core/pyproject.toml‎

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@@ -41,6 +41,7 @@ classifiers = [
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Programming Language :: Python :: 3.14",
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"Programming Language :: Python :: 3.15",
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"Programming Language :: Python :: Implementation :: CPython",
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"Environment :: GPU :: NVIDIA CUDA",
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"Environment :: GPU :: NVIDIA CUDA :: 12",
@@ -78,8 +79,7 @@ test = [
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"docutils==0.23",
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# Required by tests/test_graphics.py; pinned to match cuda_bindings.
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"pyglet==2.1.14",
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# TODO: remove the Python 3.15 guard once 3.15 is officially supported
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"cffi==2.0.0; python_version < '3.15'",
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"cffi==2.0.0",
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]
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# TODO: drop the Windows 3.15 guard once ml-dtypes publishes cp315 Windows wheels
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ml-dtypes = ["ml-dtypes>=0.5.4,<0.6.0; sys_platform != 'win32' or python_version < '3.15'"]

‎cuda_pathfinder/pyproject.toml‎

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@@ -54,8 +54,7 @@ cu13 = [
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"nvidia-nvshmem-cu13<3.7; sys_platform != 'win32'",
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]
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host = [
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# TODO: remove the Python 3.15 guard once 3.15 is officially supported
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"nvidia-cutlass; python_version < '3.15'",
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"nvidia-cutlass",
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"nvpl-fft; platform_system == 'Linux' and platform_machine == 'aarch64'",
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]
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‎cuda_pathfinder/tests/test_find_nvidia_headers.py‎

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import importlib.metadata
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import os
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import re
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import sys
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from pathlib import Path
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import pytest
@@ -286,18 +285,7 @@ def test_find_in_system_install_dirs_expands_program_files_and_prefers_newest_cu
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assert located_hdr_dir.found_via == "supported_install_dir"
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# TODO: remove the Python 3.15 guard once 3.15 is officially supported
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_CUTLASS_SKIP = pytest.mark.skipif(
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sys.version_info >= (3, 15),
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reason="nvidia-cutlass not available on Python 3.15 (scipy missing)",
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)
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_NON_CTK_HEADER_PARAMS = [
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pytest.param(name, marks=_CUTLASS_SKIP) if name in ("cutlass", "cute") else name
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for name in SUPPORTED_HEADERS_NON_CTK
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]
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@pytest.mark.parametrize("libname", _NON_CTK_HEADER_PARAMS)
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@pytest.mark.parametrize("libname", SUPPORTED_HEADERS_NON_CTK)
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def test_locate_non_ctk_headers(info_summary_append, libname):
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hdr_dir = find_nvidia_header_directory(libname)
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located_hdr_dir = locate_nvidia_header_directory(libname)

‎cuda_python/pyproject.toml‎

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@@ -27,6 +27,7 @@ classifiers = [
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Programming Language :: Python :: 3.14",
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"Programming Language :: Python :: 3.15",
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"Programming Language :: Python :: Implementation :: CPython",
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"Environment :: GPU :: NVIDIA CUDA",
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"Environment :: GPU :: NVIDIA CUDA :: 12",

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