@@ -8,7 +8,6 @@ make_conda() {
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TO_INSTALL=" $@ "
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conda create -n $VIRTUALENV --yes $TO_INSTALL
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source activate $VIRTUALENV
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- pip install -U pip
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}
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version_ge () {
@@ -78,21 +77,18 @@ elif [[ "$DISTRIB" == "ubuntu" ]]; then
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sudo apt-get install python3-scipy python3-matplotlib libatlas3-base libatlas-base-dev libatlas-dev python3-virtualenv
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python3 -m virtualenv --system-site-packages --python=python3 $VIRTUALENV
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source $VIRTUALENV /bin/activate
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- python -m pip install -U pip
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python -m pip install pytest==$PYTEST_VERSION pytest-cov cython joblib==$JOBLIB_VERSION
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elif [[ " $DISTRIB " == " ubuntu-32" ]]; then
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apt-get update
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apt-get install -y python3-dev python3-scipy python3-matplotlib libatlas3-base libatlas-base-dev libatlas-dev python3-virtualenv
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python3 -m virtualenv --system-site-packages --python=python3 $VIRTUALENV
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source $VIRTUALENV /bin/activate
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- python -m pip install -U pip
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python -m pip install pytest==$PYTEST_VERSION pytest-cov cython joblib==$JOBLIB_VERSION
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elif [[ " $DISTRIB " == " conda-pip-latest" ]]; then
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# Since conda main channel usually lacks behind on the latest releases,
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# we use pypi to test against the latest releases of the dependencies.
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# conda is still used as a convenient way to install Python and pip.
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make_conda " python=$PYTHON_VERSION "
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- python -m pip install -U pip
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python -m pip install numpy scipy joblib cython
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python -m pip install pytest==$PYTEST_VERSION pytest-cov pytest-xdist
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python -m pip install pandas matplotlib pyamg
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