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Add NFP to ScalarPotentialField and its subclasses #1137

Add NFP to ScalarPotentialField and its subclasses

Add NFP to ScalarPotentialField and its subclasses #1137

Workflow file for this run

name: Notebook tests
on:
push:
branches:
- master
- dev
pull_request:
branches:
- master
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
jobs:
notebook_tests:
runs-on: ubuntu-latest
env:
GH_TOKEN: ${{ github.token }}
strategy:
matrix:
python-version: ['3.10']
group: [1, 2, 3]
steps:
- uses: actions/checkout@v4
- name: Filter changes
id: changes
uses: dorny/paths-filter@v3
with:
filters: |
has_changes:
- 'desc/**'
- 'docs/notebooks/**'
- 'requirements.txt'
- 'devtools/dev-requirements.txt'
- 'setup.cfg'
- '.github/workflows/notebook_tests.yml'
- name: Check for relevant changes
id: check_changes
run: echo "has_changes=${{ steps.changes.outputs.has_changes }}" >> $GITHUB_ENV
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Restore Python environment cache
if: env.has_changes == 'true'
id: restore-env
uses: actions/cache/restore@v4
with:
path: .venv-${{ matrix.python-version }}
key: ${{ runner.os }}-venv-${{ matrix.python-version }}-${{ hashFiles('devtools/dev-requirements.txt', 'requirements.txt') }}
- name: Set up virtual environment if not restored from cache
if: steps.restore-env.outputs.cache-hit != 'true' && env.has_changes == 'true'
run: |
gh cache list
python -m venv .venv-${{ matrix.python-version }}
source .venv-${{ matrix.python-version }}/bin/activate
python -m pip install --upgrade pip
pip install -r devtools/dev-requirements.txt
pip install matplotlib==3.9.2
- name: Test notebooks with pytest and nbmake
if: env.has_changes == 'true'
run: |
source .venv-${{ matrix.python-version }}/bin/activate
pwd
lscpu
export PYTHONPATH=$(pwd)
pytest -v --nbmake "./docs/notebooks" \
--nbmake-timeout=2000 \
--ignore=./docs/notebooks/zernike_eval.ipynb \
--splits 3 \
--group ${{ matrix.group }} \
--splitting-algorithm least_duration