mirror of
https://github.com/NVIDIA/nvbench.git
synced 2026-04-28 18:51:13 +00:00
Initial wheel build and publishing infrastructure
This commit is contained in:
91
ci/build_pynvbench_wheel.sh
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91
ci/build_pynvbench_wheel.sh
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@@ -0,0 +1,91 @@
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#!/bin/bash
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set -euo pipefail
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ci_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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usage="Usage: $0 -py-version <python_version> -cuda-version <cuda_version>"
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source "$ci_dir/util/python/common_arg_parser.sh"
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# Parse arguments including CUDA version
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parse_python_args "$@"
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# Now parse CUDA version from remaining arguments
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cuda_version=""
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while [[ $# -gt 0 ]]; do
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case $1 in
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-cuda-version=*)
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cuda_version="${1#*=}"
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shift
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;;
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-cuda-version)
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if [[ $# -lt 2 ]]; then
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echo "Error: -cuda-version requires a value" >&2
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exit 1
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fi
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cuda_version="$2"
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shift 2
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;;
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*)
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shift
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;;
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esac
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done
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# Check if py_version was provided (this script requires it)
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require_py_version "$usage" || exit 1
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if [[ -z "$cuda_version" ]]; then
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echo "Error: -cuda-version is required"
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echo "$usage"
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exit 1
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fi
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echo "Docker socket: " $(ls /var/run/docker.sock)
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# Map cuda_version to full version
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if [[ "$cuda_version" == "12" ]]; then
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cuda_full_version="12.9.1"
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cuda_short="cu12"
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elif [[ "$cuda_version" == "13" ]]; then
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cuda_full_version="13.0.1"
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cuda_short="cu13"
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else
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echo "Error: Unsupported CUDA version: $cuda_version"
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exit 1
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fi
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# pynvbench must be built in a container that can produce manylinux wheels,
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# and has the CUDA toolkit installed. We use the rapidsai/ci-wheel image for this.
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readonly devcontainer_version=25.12
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readonly devcontainer_distro=rockylinux8
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if [[ "$(uname -m)" == "aarch64" ]]; then
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readonly cuda_image=rapidsai/ci-wheel:${devcontainer_version}-cuda${cuda_full_version}-${devcontainer_distro}-py${py_version}-arm64
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else
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readonly cuda_image=rapidsai/ci-wheel:${devcontainer_version}-cuda${cuda_full_version}-${devcontainer_distro}-py${py_version}
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fi
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mkdir -p wheelhouse
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echo "::group::⚒️ Building CUDA ${cuda_version} wheel on ${cuda_image}"
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(
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set -x
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docker pull $cuda_image
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docker run --rm -i \
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--workdir /workspace/python \
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--mount type=bind,source=$(pwd),target=/workspace/ \
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--env py_version=${py_version} \
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--env cuda_version=${cuda_version} \
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$cuda_image \
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/workspace/ci/build_pynvbench_wheel_inner.sh
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# Prevent GHA runners from exhausting available storage with leftover images:
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if [[ -n "${GITHUB_ACTIONS:-}" ]]; then
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docker rmi -f $cuda_image
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fi
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)
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echo "::endgroup::"
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echo "Wheels in wheelhouse:"
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ls -la wheelhouse/
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57
ci/build_pynvbench_wheel_inner.sh
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57
ci/build_pynvbench_wheel_inner.sh
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#!/bin/bash
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set -euo pipefail
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# Target script for `docker run` command in build_pynvbench_wheel.sh
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# The /workspace pathnames are hard-wired here.
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# Install GCC 13 toolset (needed for the build)
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/workspace/ci/util/retry.sh 5 30 dnf -y install gcc-toolset-13-gcc gcc-toolset-13-gcc-c++
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echo -e "#!/bin/bash\nsource /opt/rh/gcc-toolset-13/enable" >/etc/profile.d/enable_devtools.sh
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source /etc/profile.d/enable_devtools.sh
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# Check what's available
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which gcc
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gcc --version
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which nvcc
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nvcc --version
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# Set up Python environment
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source /workspace/ci/pyenv_helper.sh
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setup_python_env "${py_version}"
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which python
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python --version
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echo "Done setting up python env"
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# Ensure we have full git history for setuptools_scm
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if $(git rev-parse --is-shallow-repository); then
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git fetch --unshallow
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fi
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cd /workspace/python
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# Determine CUDA version from nvcc
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cuda_major=$(nvcc --version | grep -oP 'release \K[0-9]+\.[0-9]+' | cut -d. -f1)
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echo "Detected CUDA major version: ${cuda_major}"
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# Configure compilers:
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export CXX="$(which g++)"
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export CUDACXX="$(which nvcc)"
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export CUDAHOSTCXX="$(which g++)"
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# Build the wheel
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python -m pip wheel --no-deps --verbose --wheel-dir dist .
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# Rename wheel to include CUDA version suffix
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for wheel in dist/pynvbench-*.whl; do
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if [[ -f "$wheel" ]]; then
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base_name=$(basename "$wheel" .whl)
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new_name="${base_name}+cu${cuda_major}-py${py_version//.}-linux_$(uname -m).whl"
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mv "$wheel" "dist/${new_name}"
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echo "Renamed wheel to: ${new_name}"
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fi
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done
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# Move wheel to output directory
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mkdir -p /workspace/wheelhouse
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mv dist/pynvbench-*+cu*.whl /workspace/wheelhouse/
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@@ -68,3 +68,15 @@ pull_request:
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- {cuda: *cuda_curr_max, compiler: *llvm18, cpu: 'amd64'}
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- {cuda: *cuda_curr_max, compiler: *llvm19, cpu: 'amd64'}
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- {cuda: *cuda_curr_max, compiler: *llvm20, cpu: 'amd64'}
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# Python wheel builds
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python_wheels:
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nvcc:
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- {cuda: *cuda_prev_max, py_version: '3.10', cpu: 'amd64'}
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- {cuda: *cuda_prev_max, py_version: '3.11', cpu: 'amd64'}
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- {cuda: *cuda_prev_max, py_version: '3.12', cpu: 'amd64'}
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- {cuda: *cuda_prev_max, py_version: '3.13', cpu: 'amd64'}
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- {cuda: *cuda_curr_max, py_version: '3.10', cpu: 'amd64'}
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- {cuda: *cuda_curr_max, py_version: '3.11', cpu: 'amd64'}
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- {cuda: *cuda_curr_max, py_version: '3.12', cpu: 'amd64'}
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- {cuda: *cuda_curr_max, py_version: '3.13', cpu: 'amd64'}
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0
ci/pretty_printing.sh
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0
ci/pretty_printing.sh
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48
ci/pyenv_helper.sh
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48
ci/pyenv_helper.sh
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#!/bin/bash
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setup_python_env() {
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local py_version=$1
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# check if pyenv is installed
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if ! command -v pyenv &> /dev/null; then
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rm -f /pyenv
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curl -fsSL https://pyenv.run | bash
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fi
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# Install the build dependencies, check /etc/os-release to see if we are on ubuntu or rocky
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if [ -f /etc/os-release ]; then
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source /etc/os-release
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if [ "$ID" = "ubuntu" ]; then
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# Use the retry helper to mitigate issues with apt network errors:
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script_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
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retry() {
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"${script_dir}/util/retry.sh" 5 30 "$@"
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}
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retry sudo apt update
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retry sudo apt install -y make libssl-dev zlib1g-dev \
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libbz2-dev libreadline-dev libsqlite3-dev curl git \
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libncursesw5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-dev
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elif [ "$ID" = "rocky" ]; then
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# we're inside the rockylinux container, sudo not required/available
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dnf install -y make patch zlib-devel bzip2 bzip2-devel readline-devel \
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sqlite sqlite-devel openssl-devel tk-devel libffi-devel xz-devel libuuid-devel \
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gdbm-libs libnsl2
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else
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echo "Unsupported Linux distribution"
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exit 1
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fi
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fi
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# Always set up pyenv environment
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export PYENV_ROOT="$HOME/.pyenv"
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[[ -d $PYENV_ROOT/bin ]] && export PATH="$PYENV_ROOT/bin:$PATH"
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eval "$(pyenv init - bash)"
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# Using pyenv, install the Python version
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PYENV_DEBUG=1 pyenv install -v "${py_version}"
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pyenv local "${py_version}"
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pip install --upgrade pip
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}
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40
ci/util/python/common_arg_parser.sh
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ci/util/python/common_arg_parser.sh
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#!/bin/bash
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# Argument parser for Python CI scripts.
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parse_python_args() {
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# Initialize variables
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py_version=""
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while [[ $# -gt 0 ]]; do
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case $1 in
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-py-version=*)
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py_version="${1#*=}"
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shift
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;;
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-py-version)
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if [[ $# -lt 2 ]]; then
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echo "Error: -py-version requires a value" >&2
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return 1
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fi
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py_version="$2"
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shift 2
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;;
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*)
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# Unknown argument, ignore
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shift
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;;
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esac
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done
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# Export for use by calling script
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export py_version
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}
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require_py_version() {
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if [[ -z "$py_version" ]]; then
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echo "Error: -py-version is required" >&2
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[[ -n "$1" ]] && echo "$1" >&2
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return 1
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fi
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}
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33
ci/util/retry.sh
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33
ci/util/retry.sh
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#!/bin/bash
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if [ "$#" -lt 3 ]; then
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echo "Usage: $0 num_tries sleep_time command [args...]"
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echo " num_tries: Number of attempts to run the command"
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echo " sleep_time: Time to wait between attempts (in seconds)"
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echo " command: The command to run"
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echo " args: Arguments to pass to the command"
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exit 1
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fi
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num_tries=$1
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sleep_time=$2
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shift 2
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command=("${*@Q}")
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# Loop until the command succeeds or we reach the maximum number of attempts:
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for ((i=1; i<=num_tries; i++)); do
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echo "Attempt ${i} of ${num_tries}: Running command '${command[*]}'"
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status=0
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eval "${command[*]}" || status=$?
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if [ $status -eq 0 ]; then
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echo "Command '${command[*]}' succeeded on attempt ${i}."
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exit 0
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else
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echo "Command '${command[*]}' failed with status ${status}. Retrying in ${sleep_time} seconds..."
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sleep $sleep_time
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fi
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done
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echo "Command '${command[*]}' failed after ${num_tries} attempts."
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exit 1
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