mirror of https://github.com/open-mmlab/mmcv.git
53 lines
1.7 KiB
YAML
53 lines
1.7 KiB
YAML
# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
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# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
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name: build
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on: [push, pull_request]
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jobs:
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build:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: [3.6, 3.7, 3.8]
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v1
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install linting dependencies
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run: |
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python -m pip install --upgrade pip
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pip install flake8 isort yapf
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- name: Lint with flake8
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run: flake8 --max-complexity 20 .
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- name: Lint with isort
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run: isort -rc --check-only --diff mmcv/ tests/ examples/
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- name: Format with yapf
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run: yapf -r -d mmcv/ tests/ examples/
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- name: Build and install
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run: rm -rf .eggs && pip install -e .
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- name: Install system dependencies
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run: sudo apt-get update && sudo apt-get install -y ffmpeg libturbojpeg
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- name: Install unittest dependencies
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run: |
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pip install pytest coverage lmdb PyTurboJPEG
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pip install torch==1.4.0+cpu torchvision==0.5.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
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- name: Run unittests and generate coverage report
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run: |
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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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- name: Upload coverage to Codecov
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uses: codecov/codecov-action@master
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with:
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file: ./coverage.xml
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flags: unittests
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env_vars: OS,PYTHON
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name: codecov-umbrella
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fail_ci_if_error: false
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