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[Fix] fix ci (#3251)
* fix ci * fix lint
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‎.github/workflows/pr_stage_test.yml

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name: pr_stage_test
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env:
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ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
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on:
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pull_request:
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paths-ignore:
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cancel-in-progress: true
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jobs:
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build_cu102:
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build_cu121:
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runs-on: ubuntu-22.04
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env:
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FORCE_CUDA: 1
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MMCV_CUDA_ARGS: -gencode=arch=compute_61,code=sm_61
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CONTAINER: pytorch/pytorch:1.8.1-cuda10.2-cudnn7-devel
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container:
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image: nvidia/cuda:12.1.0-cudnn8-devel-ubuntu22.04
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strategy:
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matrix:
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python-version: [3.7]
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python-version: ["3.10"]
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torch: ["2.5.1"]
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Start Docker Container
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- uses: actions/checkout@v3
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- name: Install basic tools
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run: |
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apt-get update
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apt-get install -y wget build-essential git software-properties-common
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# 安装特定版本的 Python
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- name: Install Python ${{ matrix.python-version }}
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run: |
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add-apt-repository ppa:deadsnakes/ppa -y
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apt-get update
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apt-get install -y python${{ matrix.python-version }} python${{ matrix.python-version }}-dev python${{ matrix.python-version }}-distutils
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update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${{ matrix.python-version }} 1
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update-alternatives --install /usr/bin/python python /usr/bin/python${{ matrix.python-version }} 1
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wget https://bootstrap.pypa.io/get-pip.py
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python get-pip.py
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# 安装 PyTorch
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- name: Install PyTorch
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run: |
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docker pull $CONTAINER
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docker run --name build-container -d -e FORCE_CUDA=1 -e MMCV_CUDA_ARGS="-gencode=arch=compute_61,code=sm_61" -v ${{ github.workspace }}:/workspace $CONTAINER tail -f /dev/null
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- name: Install Dependencies
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env:
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SCRIPT: |
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pip install pip wheel --upgrade
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
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apt-get update && apt-get install -y git ffmpeg libturbojpeg
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pip install git+https://github.com/open-mmlab/mmengine.git@main
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pip install ninja psutil
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pip install -e . -v
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pip install -r requirements/test.txt
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run: docker exec build-container bash -c "$SCRIPT"
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- name: Build
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env:
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SCRIPT: |
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coverage run --branch --source mmcv -m pytest tests/
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coverage xml
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coverage report -m
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run: docker exec build-container bash -c "$SCRIPT"
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pip install torch==${{ matrix.torch }} torchvision --index-url https://download.pytorch.org/whl/cu121
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- name: Fetch GPG keys
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run: |
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
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- name: Install system dependencies
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run: apt-get update && apt-get install -y git ffmpeg libturbojpeg
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- name: Install MMEngine from main branch
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run: pip install git+https://github.com/open-mmlab/mmengine.git@main
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- name: Install ninja to speed the compilation
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run: pip install ninja psutil
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- name: Build MMEngine from source
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run: pip install -e . -v
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- name: Install unit tests dependencies
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run: |
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pip install -r requirements/test.txt
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# Distributed related unit test may randomly error in PyTorch 1.13.0
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- name: Run unittests and generate coverage report
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run: |
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coverage run --branch --source mmengine -m pytest tests/ --ignore tests/test_dist/
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coverage xml
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coverage report -m
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build_cu111:
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build_cu118:
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runs-on: ubuntu-22.04
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env:
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FORCE_CUDA: 1
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MMCV_CUDA_ARGS: -gencode=arch=compute_61,code=sm_61
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CONTAINER: pytorch/pytorch:1.8.1-cuda11.1-cudnn8-devel
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container:
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image: nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
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strategy:
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matrix:
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python-version: [3.7]
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python-version: ["3.10"]
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torch: ["2.0.0", "2.1.0","2.3.1"]
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Start Docker Container
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- uses: actions/checkout@v3
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- name: Install basic tools
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run: |
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apt-get update
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apt-get install -y wget build-essential git software-properties-common
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# 安装特定版本的 Python
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- name: Install Python ${{ matrix.python-version }}
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run: |
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add-apt-repository ppa:deadsnakes/ppa -y
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apt-get update
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apt-get install -y python${{ matrix.python-version }} python${{ matrix.python-version }}-dev python${{ matrix.python-version }}-distutils
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update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${{ matrix.python-version }} 1
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update-alternatives --install /usr/bin/python python /usr/bin/python${{ matrix.python-version }} 1
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wget https://bootstrap.pypa.io/get-pip.py
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python get-pip.py
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# 安装 PyTorch
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- name: Install PyTorch
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run: |
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pip install torch==${{ matrix.torch }} torchvision --index-url https://download.pytorch.org/whl/cu118
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- name: Fetch GPG keys
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run: |
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docker pull $CONTAINER
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docker run --name build-container -d -e FORCE_CUDA=1 -e MMCV_CUDA_ARGS="-gencode=arch=compute_61,code=sm_61" -v ${{ github.workspace }}:/workspace $CONTAINER tail -f /dev/null
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- name: Install Dependencies
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env:
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SCRIPT: |
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pip install pip wheel --upgrade
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
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apt-get update && apt-get install -y git ffmpeg libturbojpeg
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pip install git+https://github.com/open-mmlab/mmengine.git@main
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pip install ninja psutil
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pip install -e . -v
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pip install -r requirements/test.txt
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run: docker exec build-container bash -c "$SCRIPT"
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- name: Build
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env:
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SCRIPT: |
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coverage run --branch --source mmcv -m pytest tests/
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coverage xml
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coverage report -m
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run: docker exec build-container bash -c "$SCRIPT"
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
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- name: Install system dependencies
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run: apt-get update && apt-get install -y git ffmpeg libturbojpeg
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- name: Install MMEngine from main branch
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run: pip install git+https://github.com/open-mmlab/mmengine.git@main
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- name: Install ninja to speed the compilation
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run: pip install ninja psutil
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- name: Build MMEngine from source
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run: pip install -e . -v
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- name: Install unit tests dependencies
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run: |
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pip install -r requirements/test.txt
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pip install numpy==1.24.3
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# Distributed related unit test may randomly error in PyTorch 1.13.0
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- name: Run unittests and generate coverage report
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run: |
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coverage run --branch --source mmengine -m pytest tests/ --ignore tests/test_dist/
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coverage xml
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coverage report -m
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build_windows_without_ops:
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runs-on: windows-2019
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env:

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