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enh: upgrade neurodocker version
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install/Dockerfile

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@@ -1,5 +1,5 @@
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# Generated by Neurodocker version 0.4.2
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# Timestamp: 2018-11-26 23:26:28 UTC
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# Generated by Neurodocker version 0.4.2-3-gf7055a1
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# Timestamp: 2018-11-26 23:42:54 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
@@ -121,23 +121,23 @@ RUN export PATH="/opt/miniconda-latest/bin:$PATH" \
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&& sync && conda clean -tipsy && sync \
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&& conda create -y -q --name mb \
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&& conda install -y -q --name mb \
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python=3.6 \
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pip \
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jupyter \
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cmake \
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mesalib \
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vtk \
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pandas \
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matplotlib \
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colormath \
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nipype>=1.1.4 \
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tbb-devel \
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nose \
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'python=3.6' \
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'pip' \
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'jupyter' \
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'cmake' \
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'mesalib' \
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'vtk' \
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'pandas' \
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'matplotlib' \
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'colormath' \
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'nipype>=1.1.4' \
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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 \
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datalad[full] \
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duecredit" \
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'datalad[full]' \
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'duecredit'" \
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&& rm -rf ~/.cache/pip/* \
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&& sync \
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&& sed -i '$isource activate mb' $ND_ENTRYPOINT

install/neurodocker.sh

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# docker run --rm -ti -v $HOST:/home/jovyan/work nipy/mindboggle $IMAGE --id $ID --out $OUT
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###############################################################################
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image="kaczmarj/neurodocker:master@sha256:936401fe8f677e0d294f688f352cbb643c9693f8de371475de1d593650e42a66"
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# Generate a dockerfile for building a mindboggle container
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docker run --rm kaczmarj/neurodocker:0.4.2 generate docker \
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docker run --rm ${image} generate docker \
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--base neurodebian:stretch \
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--pkg-manager apt \
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--install graphviz tree git-annex-standalone vim \
@@ -54,7 +56,7 @@ docker run --rm kaczmarj/neurodocker:0.4.2 generate docker \
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--ants version=b43df4bfc8 method=source cmake_opts='-DBUILD_SHARED_LIBS=ON' make_opts='-j 4'\
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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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conda_install="python=3.6 pip jupyter cmake mesalib vtk pandas
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matplotlib colormath nipype>=1.1.4 tbb-devel nose" \
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pip_install="datalad[full] duecredit" \
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create_env="mb" \

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