gh_runner #2
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name: gh_runner | |
on: workflow_dispatch | |
jobs: | |
test-model: | |
name: Do the job on the runner | |
runs-on: ubuntu-latest | |
steps: | |
# Set up Python | |
- name: Set up Python | |
uses: actions/setup-python@v4 | |
with: | |
python-version: 3.11 | |
# Install datalad 🟢 | |
- name: Install Datalad | |
run: | | |
sudo apt-get install datalad | |
python3 -m pip install datalad-osf | |
git config --global user.name "trained_models" | |
git config --global user.email "trained_models" | |
- uses: actions/checkout@v4 | |
with: | |
fetch-depth: 0 | |
- run: | | |
datalad siblings | |
datalad siblings | |
cd PialNN/pialnn/1.0.0/data | |
datalad get sample.zip | |
find . -name "*.zip" -exec unzip {} \; | |
mv example example_gh | |
datalad save -m "pushing unzipped folder" example_gh/ | |
datalad push --to test-aws-storage | |
datalad push --to origin | |