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docker run -it -w `pwd` -v `pwd`:`pwd` --network=container:quality-time-www-1 ghcr.io/astral-sh/uv:python3.14-bookworm tests/application_tests/ci/test.sh
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docker run -it -w `pwd` -v `pwd`:`pwd` --network=container:quality-time-www-1 ghcr.io/astral-sh/uv:python3.14-bookworm tests/application_tests/test.sh
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docker ps
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docker compose logs > build/containers.log
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- run:
@@ -106,8 +82,8 @@ jobs:
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steps:
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- checkout
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- run: |
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pip install uv==0.9.27
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./tests/feature_tests/ci/test.sh
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pip install -r tools/requirements-uv.txt
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./tests/feature_tests/test.sh
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- store_artifacts:
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path: build
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# The resource_class feature allows configuring CPU and RAM resources for each job. Different resource classes are available for different executors. https://circleci.com/docs/2.0/configuration-reference/#resourceclass
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