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ln -sv /usr/lib/x86_64-linux-gnu /usr/lib64
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conda config --set show_channel_urls yes --set always_yes yes
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conda config --add channels conda-forge
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- conda update conda conda-env
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- conda env create --quiet
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+ conda create -n $ENV_NAME python=3.6 pip
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source activate $ENV_NAME
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+ conda install -y cmake mesalib vtk pandas matplotlib \
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+ colormath nipype tbb-devel nose
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conda info --envs
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python setup.py install
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mkdir $vtk_cpp_tools && cd $vtk_cpp_tools && cmake ../ && make
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# Generated by Neurodocker version 0.4.1
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- # Timestamp: 2018-09-13 15:00:27 UTC
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+ # Timestamp: 2018-10-05 14:45:31 UTC
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#
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# Thank you for using Neurodocker. If you discover any issues
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# or ways to improve this software, please submit an issue or
@@ -131,6 +131,8 @@ RUN export PATH="/opt/miniconda-latest/bin:$PATH" \
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matplotlib \
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colormath \
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nipype \
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+ tbb-devel \
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+ nose \
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&& sync && conda clean -tipsy && sync \
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&& bash -c "source activate mb \
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&& pip install --no-cache-dir \
@@ -242,7 +244,9 @@ RUN echo '{ \
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\n "pandas", \
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\n "matplotlib", \
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\n "colormath", \
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- \n "nipype" \
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+ \n "nipype", \
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+ \n "tbb-devel", \
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+ \n "nose" \
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\n ], \
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\n "pip_install": [ \
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\n "datalad[full]", \
Original file line number Diff line number Diff line change @@ -55,7 +55,7 @@ docker run --rm kaczmarj/neurodocker:0.4.1 generate docker \
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--run ' ln -s /usr/lib/x86_64-linux-gnu /usr/lib64' \
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--miniconda \
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conda_install=" python=3.6 pip jupyter cmake mesalib vtk pandas \
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- matplotlib colormath nipype" \
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+ matplotlib colormath nipype tbb-devel nose " \
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pip_install=" datalad[full] duecredit" \
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create_env=" mb" \
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activate=true \
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