Files
project_6/cccl_upstream/ci/pyenv_helper.sh
muh-bot 2a7ca101d7 feat(cccl): integrate missing CCCL directories — python/, ci/, .agent/, docs/, test/
Sparse-checkout from NVIDIA/cccl main branch to complete cccl_upstream:

Added:
- python/cuda_cccl/ (226 files) — Python bindings for device-level algorithms
  Critical for muh toolchain: cuda.compute.reduce_into, scan, radix_sort, etc.
  Includes 204 .py files with full test coverage for all 27 algorithms
- ci/ (163 files) — Build/test infrastructure
  build_cub.sh, test_cub.sh, build_and_test_targets.sh, matrix.yaml
  Directly maps to our [INFRA-CI] and [INFRA-BUILD] items
- .agent/skills/ (7 files) — NVIDIA's own agent skills for CCCL
  cccl-style/SKILL.md, cccl-test/SKILL.md, sass-diff/SKILL.md
- docs/ (491 files) — Official CCCL documentation
  CI references, CMake guides, Python compute docs, libcudacxx PTX docs
- test/ (12 files) — Top-level integration tests (cuda_smoke, stdpar)
- Root configs: .clang-format, .clang-tidy, CONTRIBUTING.md, pyproject.toml
- CLAUDE.md symlink → AGENTS.md (NVIDIA's standard)

cccl_upstream now mirrors full NVIDIA/cccl structure:
  Before: 42M (cub + thrust + libcudacxx + cudax + c + examples + benchmarks)
  After:  53M (+python +ci +docs +.agent +test +configs)

This completes the CCCL base needed for:
- [muh-bench] items: ci/util/build_and_test_targets.sh for targeted builds
- [CCCL-verify] items: python/cuda_cccl/tests/ as reference implementations
- [CCCL-test] items: ci/test_cub.sh, ci/test_thrust.sh
- Agent workflow: .agent/skills/ for consistent style and test patterns
2026-08-07 02:34:33 +00:00

78 lines
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setup_python_env() {
local py_version=$1
# Source pretty_printing.sh for begin_group/end_group helpers
local script_dir
script_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
# shellcheck source=ci/pretty_printing.sh
source "${script_dir}/pretty_printing.sh"
begin_group "🐍 Setting up Python ${py_version} (uv)"
# Install uv if not present
if ! command -v uv &> /dev/null; then
curl -LsSf https://astral.sh/uv/install.sh | sh
export PATH="$HOME/.local/bin:$PATH"
fi
# Create a venv with the requested Python version.
# uv downloads a pre-built CPython binary automatically — no compilation needed.
uv venv --seed --python "${py_version}" "${HOME}/.cccl-venv"
# Windows venvs use Scripts/, Linux/macOS use bin/
if [[ -f "${HOME}/.cccl-venv/Scripts/activate" ]]; then
#shellcheck disable=SC1091
source "${HOME}/.cccl-venv/Scripts/activate"
else
#shellcheck disable=SC1091
source "${HOME}/.cccl-venv/bin/activate"
fi
end_group "🐍 Setting up Python ${py_version} (uv)"
}
# Pin the cuda-toolkit wheels to the container's CTK major.minor (read from nvcc)
# via PIP_CONSTRAINT when the mode ($1) is "pinned" (the default; empty also means
# pinned). "latest" and "sysctk" leave it unpinned; any other value is a hard
# error. This is the lane's mode gate -- it runs before ctk_extra_flavor in every
# script, so ctk_extra_flavor can assume the mode is already valid. Also sets and
# exports cuda_version / cuda_major_version; the caller uses cuda_major_version in
# the pip-extra name (e.g. minimal-cu${cuda_major_version}).
pin_cuda_toolkit() {
cuda_version=$(nvcc --version | grep release | awk '{print $6}' | tr -d ',' | cut -d '.' -f 1-2 | cut -d 'V' -f 2)
cuda_major_version=$(echo "$cuda_version" | cut -d '.' -f 1)
export cuda_version cuda_major_version
local mode="${1:-pinned}"
case "${mode,,}" in
pinned)
export PIP_CONSTRAINT="${TMPDIR:-/tmp}/ctk-constraint.txt"
echo "cuda-toolkit==${cuda_version}.*" > "${PIP_CONSTRAINT}"
;;
latest | sysctk)
# No pin. Clear any inherited constraint so it cannot affect the
# resolve (latest tests the newest minor; sysctk installs no
# cuda-toolkit wheel at all).
unset PIP_CONSTRAINT
;;
*)
echo "ERROR: invalid ctk mode '${mode}' (expected pinned|latest|sysctk)" >&2
return 1
;;
esac
}
# Echoes the pip-extra toolkit "flavor" for the mode ($1): "sysctk" when the mode
# is sysctk (rely on the system-provided CUDA toolkit) or "cu" otherwise
# (pip-installed toolkit). The mode is validated by pin_cuda_toolkit, which every
# lane calls first. Combine with the CUDA major, e.g.
# "minimal-$(ctk_extra_flavor "${ctk_mode}")${cuda_major_version}" -> minimal-sysctk12.
ctk_extra_flavor() {
local mode="${1:-}"
if [[ "${mode,,}" == "sysctk" ]]; then
echo "sysctk"
else
echo "cu"
fi
}