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pyproject.toml

pyproject.toml #30

Workflow file for this run

# This workflows will upload a Python Package using Twine when a release is created
# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
name: tests
on:
push:
branches:
- main
tags:
- "v*" # Push events to matching v*, i.e. v1.0, v20.15.10
pull_request:
branches:
- main
workflow_dispatch:
jobs:
test:
name: ${{ matrix.platform }} py${{ matrix.python-version }}
runs-on: ${{ matrix.platform }}
strategy:
matrix:
platform: [ubuntu-latest, windows-latest, macos-latest]
python-version: [3.8]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
# these libraries, along with pytest-xvfb (added in the `deps` in tox.ini),
# enable testing on Qt on linux
- name: Install Linux libraries
if: runner.os == 'Linux'
run: |
sudo apt-get install -y libdbus-1-3 libxkbcommon-x11-0 libxcb-icccm4 \
libxcb-image0 libxcb-keysyms1 libxcb-randr0 libxcb-render-util0 \
libxcb-xinerama0 libxcb-xinput0 libxcb-xfixes0 pkg-config libhdf5-103 libhdf5-dev
# strategy borrowed from vispy for installing opengl libs on windows
- name: Install Windows OpenGL
if: runner.os == 'Windows'
run: |
git clone --depth 1 git://github.com/pyvista/gl-ci-helpers.git
powershell gl-ci-helpers/appveyor/install_opengl.ps1
# note: if you need dependencies from conda, considering using
# setup-miniconda: https://github.com/conda-incubator/setup-miniconda
# and
# tox-conda: https://github.com/tox-dev/tox-conda
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install dask dask_image scikit-learn
pip install wheel setuptools tox tox-gh-actions
# this runs the platform-specific tests declared in tox.ini
- name: Test with tox
run: tox
env:
PLATFORM: ${{ matrix.platform }}
- name: Coverage
uses: codecov/codecov-action@v1
deploy:
# this will run when you have tagged a commit, starting with "v*"
# and requires that you have put your twine API key in your
# github secrets (see readme for details)
needs: [test]
runs-on: ubuntu-latest
if: contains(github.ref, 'tags')
steps:
- uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: "3.x"
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -U setuptools setuptools_scm wheel twine
- name: Build and publish
env:
TWINE_USERNAME: __token__
TWINE_PASSWORD: ${{ secrets.TWINE_API_KEY }}
run: |
git tag
python setup.py sdist bdist_wheel
twine upload dist/*