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icenet-install-test.yml
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# Github actions CI (continous integration) setup.
#
# [email protected], 2023
name: icenet-install-test
on: [push, workflow_dispatch]
jobs:
icenet-install-test:
runs-on: ubuntu-22.04
steps:
- uses: actions/checkout@v3
- uses: actions/setup-node@v1
- uses: actions/setup-python@v4
with:
python-version: '3.10.10'
## Install GPU tools
# conda install -c nvidia cudatoolkit==11.7.0 cudnn==8.4.1.50
# conda install -c conda-forge cudatoolkit-dev==11.7.0
# Install conda packages
# (needed e.g. for xgboost tree visualization)
# conda install python-graphviz
- name: Install pip-requirements
run: |
pip install -r requirements-github-actions-1.txt
pip install -r requirements-github-actions-2.txt
## Docs building
- name: Build docs
run: |
if [ -e yarn.lock ]; then
yarn install --frozen-lockfile
elif [ -e package-lock.json ]; then
npm ci
else
npm i
fi
npm run build
make -C docs/ clean
make -C docs/ html
touch docs/build/html/.nojekyll
## Release to gh-pages
- name: Release docs to GitHub Pages
uses: peaceiris/actions-gh-pages@v3
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
publish_dir: ./docs/build/html/
## Unit tests
- name: Unit tests
run: |
pytest icenet/tools/stx.py -rP
## Integration tests
- name: Deep Learning system integration test (clone stash)
run: |
git clone https://github.com/mieskolainen/travis-stash.git
- name: Deep Learning system integration test 1 (trg)
run: |
source setenv-github-actions.sh && maxevents=10000; source tests/runme_trg.sh
- name: Deep Learning system integration test 2 (hnl)
run: |
source setenv-github-actions.sh && maxevents=10000; source tests/runme_hnl.sh
- name: Deep Learning system integration test 3 (eid)
run: |
source setenv-github-actions.sh && maxevents=10000; source tests/runme_eid.sh
- name: Deep Learning system integration test 4 (eid_deep)
run: |
source setenv-github-actions.sh && maxevents=10000; source tests/runme_eid_deep.sh
- name: Deep Learning system integration test 5 (eid_visual)
run: |
source setenv-github-actions.sh && maxevents=10000; source tests/runme_eid_visual.sh
# source setenv-github-actions.sh && python icefit/peakfit.py --analyze --group --inputfile ./configs/peakfit/tune2.yml
## source setenv-github-actions.sh && maxevents=10000; source tests/runme_brk.sh
## source setenv-github-actions.sh && maxevents=10000; source tests/runme_dqcd_vector_train.sh
## source setenv-github-actions.sh && maxevents=10000; source tests/runme_hgcal_cnd.sh
## source setenv-github-actions.sh && maxevents=10000; source tests/runme_hgcal_trk.sh