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--------- Signed-off-by: Matteo Bettini <[email protected]>
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# This workflow will install Python dependencies, run tests and lint with a single version of Python | ||
# For more information see: | ||
# https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions | ||
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name: pytest | ||
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on: | ||
push: | ||
branches: [ $default-branch , "main" , "dev" ] | ||
pull_request: | ||
branches: [ $default-branch , "main" ] | ||
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permissions: | ||
contents: read | ||
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jobs: | ||
build: | ||
runs-on: ubuntu-latest | ||
strategy: | ||
fail-fast: false | ||
matrix: | ||
python-version: ["3.8", "3.9", "3.10"] | ||
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steps: | ||
- uses: actions/checkout@v3 | ||
- name: Set up Python ${{ matrix.python-version }} | ||
uses: actions/setup-python@v3 | ||
with: | ||
python-version: ${{ matrix.python-version }} | ||
- name: Install dependencies | ||
run: | | ||
python -m pip install --upgrade pip | ||
python -m pip install flake8 pytest | ||
python -m pip install vmas | ||
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi | ||
python -m pip install --pre torch --extra-index-url https://download.pytorch.org/whl/nightly/cpu --force-reinstall | ||
cd .. | ||
python -m pip install git+https://github.com/pytorch-labs/tensordict.git | ||
git clone https://github.com/pytorch/rl.git | ||
cd rl | ||
python setup.py develop | ||
cd ../BenchMARL | ||
pip install -e . | ||
- name: Lint with flake8 | ||
run: | | ||
# stop the build if there are Python syntax errors or undefined names | ||
flake8 benchmarl/ --count --select=E9,F63,F7,F82 --show-source --statistics | ||
# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide | ||
flake8 benchmarl/ --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics --ignore=E203,W503 | ||
- name: Test with pytest | ||
run: | | ||
pip install pytest | ||
pip install pytest-cov | ||
pip install tqdm | ||
pytest test/ --doctest-modules --junitxml=junit/test-results.xml --cov=. --cov-report=xml --cov-report=html |
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from models.mlp import MlpConfig | ||
from .mlp import MlpConfig | ||
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model_config_registry = {"mlp": MlpConfig} |
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torchrl | ||
hydra-core |
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