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Use multiprocessing.Pool.map() for parallelism #125

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Use multiprocessing.Pool.map() for parallelism

Use multiprocessing.Pool.map() for parallelism #125

Workflow file for this run

.github/workflows/pytest.yaml at 068e0bb
name: PyTest
on: [pull_request]
jobs:
build:
runs-on: ubuntu-latest
# This is required to activate conda environment in GitHub Actions:
# See https://stackoverflow.com/questions/72703363/how-to-activate-conda-environment-in-github-actions
defaults:
run:
shell: bash -l {0}
steps:
- uses: actions/checkout@v3
- uses: conda-incubator/setup-miniconda@v2
with:
python-version: '3.9'
auto-activate-base: false
activate-environment: benchcab-dev
environment-file: .conda/benchcab-dev.yaml
- name: Test with pytest
run: |
pytest --cov=./ --cov-report=xml
- name: Upload coverage reports to Codecov
uses: codecov/codecov-action@v3
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
files: ./coverage.xml