The source code and dockerfile for the GSW2024 AI Lab.
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#!/bin/bash -x
# Helper for travis folding travis_fold() { local action=$1 local name=$2 echo -en "travis_fold:${action}:${name}\r" }
N_JOBS=2
OS=$TRAVIS_OS_NAME
# Use CLN? BUILD_CARL_CLN=FALSE if [[ "$CONFIG" == *Cln* ]] then BUILD_CARL_CLN=TRUE fi # Use carlparser? BUILD_CARL_PARSER=FALSE if [[ "$CONFIG" == *Parser* ]] then BUILD_CARL_PARSER=TRUE fi
case $OS in linux) # Execute docker image on Linux # Stop previous session docker rm -f pycarl &>/dev/null # Run container set -e docker run -d -it --name pycarl --privileged movesrwth/storm-basesystem:$LINUX # Copy local content into container docker exec pycarl mkdir /opt/pycarl docker cp . pycarl:/opt/pycarl
travis_fold start install_dependencies docker exec pycarl apt-get update # Install virtualenv docker exec pycarl apt-get install -qq -y libeigen3-dev python3 python3-venv # Install dependencies for carl-parser if [[ "$BUILD_CARL_PARSER" == TRUE ]] then docker exec pycarl apt-get install -qq -y maven uuid-dev fi travis_fold end install_dependencies set +e
# Execute main process docker exec pycarl bash -c "
export TASK=$TASK; export PYTHON=$PYTHON; export CONFIG=$CONFIG; export COMPILER=$COMPILER; export N_JOBS=$N_JOBS; export STLARG=; export OS=$OS; export BUILD_CARL_CLN=$BUILD_CARL_CLN; export BUILD_CARL_PARSER=$BUILD_CARL_PARSER; cd /opt/pycarl; travis/build-helper.sh"
exit $? ;;
osx) # Mac OSX STLARG="-stdlib=libc++" export N_JOBS export STLARG export OS export BUILD_CARL_CLN export BUILD_CARL_PARSER travis/build-helper.sh exit $? ;;
*) # Unknown OS echo "Unsupported OS: $OS" exit 1 esac
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