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33 napari extract and format data for naive bayes #267

33 napari extract and format data for naive bayes

33 napari extract and format data for naive bayes #267

# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
name: builds
on:
push:
# Run when main is updated
branches: [ main ]
pull_request:
# Run on pull requests against main
branches: [ main ]
jobs:
build:
runs-on: ${{ matrix.os }}
strategy:
matrix:
python-version: ['3.9', '3.10', '3.11']
os: [ubuntu-latest]
env:
OS: ${{ matrix.os }}
PYTHON: ${{ matrix.python-version }}
DISPLAY: ':99.0'
steps:
- uses: actions/checkout@main
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@main
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
sudo apt-get install --no-install-recommends libyaml-dev libegl1-mesa libxkbcommon-x11-0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-randr0 libxcb-render-util0 libxcb-xinerama0 libxcb-shape0 libxcb-cursor0 xserver-xephyr
python -m pip install --upgrade pip
pip install flake8 pytest pytest-cov pytest-qt pytest-xvfb ipython anyio
- name: Lint with flake8
run: |
# stop the build if there are Python syntax errors or undefined names
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
- uses: tlambert03/setup-qt-libs@v1
- name: Install plantcv-annotate
# Run coverage analysis on pytest tests
run: |
pip install .
pip uninstall -y opencv-python
pip install opencv-python-headless
- name: Tests
uses: aganders3/[email protected]
with:
xvfb-screen-size: 1280x720x24
run: pytest --cov-report=xml --cov=./
- name: Upload coverage to Deepsource
uses: deepsourcelabs/test-coverage-action@master
with:
key: python
coverage-file: coverage.xml
dsn: ${{ secrets.DEEPSOURCE_DSN }}
env:
DEEPSOURCE_DSN: ${{ secrets.DEEPSOURCE_DSN }}