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Implement genetic algorithm for optimizing continuous functions #1211

Implement genetic algorithm for optimizing continuous functions

Implement genetic algorithm for optimizing continuous functions #1211

Workflow file for this run

name: sphinx
on:
# Triggers the workflow on push or pull request events but only for the "master" branch
push:
branches: ["master"]
pull_request:
branches: ["master"]
# Or manually from the Actions tab
workflow_dispatch:
# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
permissions:
contents: read
pages: write
id-token: write
# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
concurrency:
group: "pages"
cancel-in-progress: false
jobs:
build_docs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: 3.13
allow-prereleases: true
- run: pip install --upgrade pip
- run: pip install myst-parser sphinx-autoapi sphinx-pyproject
- uses: actions/configure-pages@v5
- run: sphinx-build -c docs . docs/_build/html
- uses: actions/upload-pages-artifact@v3
with:
path: docs/_build/html
deploy_docs:
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
if: github.event_name != 'pull_request'
needs: build_docs
runs-on: ubuntu-latest
steps:
- uses: actions/deploy-pages@v4
id: deployment