Add explanatory text to nested-logit notebook #2
Workflow file for this run
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name: Execute Jupyter Notebooks | |
on: | |
push: | |
paths: ['Code/**.ipynb', '**/run_notebooks.yml'] | |
pull_request: | |
paths: ['Code/**.ipynb', '**/run_notebooks.yml'] | |
workflow_dispatch: | |
schedule: | |
- cron: '0 6 1 * *' # Runs at 06:00 UTC 1st day of the month | |
jobs: | |
run-notebooks: | |
runs-on: ubuntu-latest | |
steps: | |
- uses: actions/checkout@v4 | |
- uses: actions/setup-python@v5 | |
- name: Install Dependencies | |
run: | | |
pip install nbconvert ipykernel | |
pip install numpy matplotlib biogeme pandas seaborn scikit-learn | |
- name: Find and Execute Jupyter Notebooks | |
run: | | |
find Code -name "*.ipynb" -print0 | while IFS= read -r -d $'\0' notebook; do | |
# Save the current directory | |
current_dir=$(pwd) | |
# Extract the directory path of the notebook | |
notebook_dir=$(dirname "$notebook") | |
# Change to the notebook directory | |
cd "$notebook_dir" | |
# Execute the notebook | |
if jupyter nbconvert --to notebook --execute "$(basename "$notebook")" --output "$(basename "$notebook")"; then | |
echo -e "\u2705 Passed: $notebook" | |
else | |
echo -e "\u274C Failed: $notebook" | |
fi | |
# Change back to the original directory | |
cd "$current_dir" | |
done |