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Parse OWL files as pandas DataFrame (#1) #1

Parse OWL files as pandas DataFrame (#1)

Parse OWL files as pandas DataFrame (#1) #1

Workflow file for this run

# This workflow will install Python dependencies, run tests and lint with a single version of Python
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
name: Publish to PyPI
on:
push:
tags: "*"
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python 3.9
uses: actions/setup-python@v5
with:
python-version: 3.9
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install flake8 pytest tox
# - 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
- name: Test with tox
run: |
tox
- name: Build docs
run: |
tox -e docs
- run: touch ./docs/_build/html/.nojekyll
- name: GH Pages Deployment
uses: JamesIves/[email protected]
with:
branch: gh-pages # The branch the action should deploy to.
folder: ./docs/_build/html
clean: true # Automatically remove deleted files from the deploy branch
- name: Build Project and Publish
run: |
python -m tox -e clean,build
- name: Publish package
uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29
with:
user: __token__
password: ${{ secrets.PYPI_PASSWORD }}