439 lines
15 KiB
Docker
Executable File
439 lines
15 KiB
Docker
Executable File
# Use NVIDIA CUDA as base image and run the same installation as in the other packages.
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# The version of cudatoolkit must match those of the base image, see Dockerfile.pytorch
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FROM nvidia/cuda:10.1-base-ubuntu18.04
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LABEL maintainer="Christoph Schranz <christoph.schranz@salzburgresearch.at>"
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# The maintainers of subsequent sections may vary
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############################################################################
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#################### Dependency: jupyter/base-image ########################
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############################################################################
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# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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# Ubuntu 18.04 (bionic)
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# https://hub.docker.com/_/ubuntu/?tab=tags&name=bionic
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ARG ROOT_CONTAINER=ubuntu:bionic-20200112@sha256:bc025862c3e8ec4a8754ea4756e33da6c41cba38330d7e324abd25c8e0b93300
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LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
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ARG NB_USER="jovyan"
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ARG NB_UID="1000"
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ARG NB_GID="100"
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USER root
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# Install all OS dependencies for notebook server that starts but lacks all
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# features (e.g., download as all possible file formats)
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ENV DEBIAN_FRONTEND noninteractive
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RUN apt-get update \
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&& apt-get install -yq --no-install-recommends \
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wget \
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bzip2 \
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ca-certificates \
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sudo \
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locales \
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fonts-liberation \
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run-one \
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&& apt-get clean && rm -rf /var/lib/apt/lists/*
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RUN echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && \
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locale-gen
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# Configure environment
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ENV CONDA_DIR=/opt/conda \
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SHELL=/bin/bash \
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NB_USER=$NB_USER \
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NB_UID=$NB_UID \
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NB_GID=$NB_GID \
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LC_ALL=en_US.UTF-8 \
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LANG=en_US.UTF-8 \
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LANGUAGE=en_US.UTF-8
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ENV PATH=$CONDA_DIR/bin:$PATH \
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HOME=/home/$NB_USER
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# Copy a script that we will use to correct permissions after running certain commands
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COPY fix-permissions /usr/local/bin/fix-permissions
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RUN chmod a+rx /usr/local/bin/fix-permissions
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# Enable prompt color in the skeleton .bashrc before creating the default NB_USER
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RUN sed -i 's/^#force_color_prompt=yes/force_color_prompt=yes/' /etc/skel/.bashrc
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# Create NB_USER wtih name jovyan user with UID=1000 and in the 'users' group
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# and make sure these dirs are writable by the `users` group.
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RUN echo "auth requisite pam_deny.so" >> /etc/pam.d/su && \
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sed -i.bak -e 's/^%admin/#%admin/' /etc/sudoers && \
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sed -i.bak -e 's/^%sudo/#%sudo/' /etc/sudoers && \
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useradd -m -s /bin/bash -N -u $NB_UID $NB_USER && \
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mkdir -p $CONDA_DIR && \
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chown $NB_USER:$NB_GID $CONDA_DIR && \
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chmod g+w /etc/passwd && \
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fix-permissions $HOME && \
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fix-permissions "$(dirname $CONDA_DIR)"
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USER $NB_UID
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WORKDIR $HOME
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ARG PYTHON_VERSION=default
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# Setup work directory for backward-compatibility
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RUN mkdir /home/$NB_USER/work && \
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fix-permissions /home/$NB_USER
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# Install conda as jovyan and check the md5 sum provided on the download site
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ENV MINICONDA_VERSION=4.7.12.1 \
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MINICONDA_MD5=81c773ff87af5cfac79ab862942ab6b3 \
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CONDA_VERSION=4.7.12
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RUN cd /tmp && \
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wget --quiet https://repo.continuum.io/miniconda/Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh && \
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echo "${MINICONDA_MD5} *Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh" | md5sum -c - && \
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/bin/bash Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh -f -b -p $CONDA_DIR && \
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rm Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh && \
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echo "conda ${CONDA_VERSION}" >> $CONDA_DIR/conda-meta/pinned && \
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conda config --system --prepend channels conda-forge && \
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conda config --system --set auto_update_conda false && \
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conda config --system --set show_channel_urls true && \
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if [ ! $PYTHON_VERSION = 'default' ]; then conda install --yes python=$PYTHON_VERSION; fi && \
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conda list python | grep '^python ' | tr -s ' ' | cut -d '.' -f 1,2 | sed 's/$/.*/' >> $CONDA_DIR/conda-meta/pinned && \
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conda install --quiet --yes conda && \
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conda install --quiet --yes pip && \
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conda update --all --quiet --yes && \
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conda clean --all -f -y && \
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rm -rf /home/$NB_USER/.cache/yarn && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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# Install Tini
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RUN conda install --quiet --yes 'tini=0.18.0' && \
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conda list tini | grep tini | tr -s ' ' | cut -d ' ' -f 1,2 >> $CONDA_DIR/conda-meta/pinned && \
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conda clean --all -f -y && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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# Install Jupyter Notebook, Lab, and Hub
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# Generate a notebook server config
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# Cleanup temporary files
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# Correct permissions
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# Do all this in a single RUN command to avoid duplicating all of the
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# files across image layers when the permissions change
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RUN conda install --quiet --yes \
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'notebook=6.0.3' \
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'jupyterhub=1.1.0' \
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'jupyterlab=1.2.5' && \
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conda clean --all -f -y && \
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npm cache clean --force && \
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jupyter notebook --generate-config && \
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rm -rf $CONDA_DIR/share/jupyter/lab/staging && \
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rm -rf /home/$NB_USER/.cache/yarn && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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EXPOSE 8888
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# Configure container startup
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ENTRYPOINT ["tini", "-g", "--"]
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CMD ["start-notebook.sh"]
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# Copy local files as late as possible to avoid cache busting
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COPY start.sh /usr/local/bin/
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COPY start-notebook.sh /usr/local/bin/
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COPY start-singleuser.sh /usr/local/bin/
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COPY jupyter_notebook_config.py /etc/jupyter/
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# Fix permissions on /etc/jupyter as root
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USER root
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RUN fix-permissions /etc/jupyter/
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# Switch back to jovyan to avoid accidental container runs as root
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USER $NB_UID
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############################################################################
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################# Dependency: jupyter/minimal-notebook #####################
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############################################################################
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# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
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USER root
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# Install all OS dependencies for fully functional notebook server
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RUN apt-get update && apt-get install -yq --no-install-recommends \
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build-essential \
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emacs \
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git \
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inkscape \
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jed \
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libsm6 \
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libxext-dev \
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libxrender1 \
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lmodern \
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netcat \
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python-dev \
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# ---- nbconvert dependencies ----
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texlive-xetex \
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texlive-fonts-recommended \
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texlive-generic-recommended \
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# Optional dependency
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texlive-fonts-extra \
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# ----
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tzdata \
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unzip \
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nano \
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&& apt-get clean && rm -rf /var/lib/apt/lists/*
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# Switch back to jovyan to avoid accidental container runs as root
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USER $NB_UID
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############################################################################
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################# Dependency: jupyter/scipy-notebook #######################
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############################################################################
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# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
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USER root
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# ffmpeg for matplotlib anim
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RUN apt-get update && \
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apt-get install -y --no-install-recommends ffmpeg && \
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rm -rf /var/lib/apt/lists/*
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USER $NB_UID
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# Install Python 3 packages
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RUN conda install --quiet --yes \
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'beautifulsoup4=4.8.*' \
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'conda-forge::blas=*=openblas' \
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'bokeh=1.4.*' \
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'cloudpickle=1.2.*' \
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'cython=0.29.*' \
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'dask=2.9.*' \
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'dill=0.3.*' \
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'h5py=2.10.*' \
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'hdf5=1.10.*' \
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'ipywidgets=7.5.*' \
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'matplotlib-base=3.1.*' \
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'numba=0.48.*' \
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'numexpr=2.7.*' \
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'pandas=0.25.*' \
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'patsy=0.5.*' \
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'protobuf=3.11.*' \
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'scikit-image=0.16.*' \
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'scikit-learn=0.22.*' \
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'scipy=1.4.*' \
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'seaborn=0.9.*' \
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'sqlalchemy=1.3.*' \
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'statsmodels=0.11.*' \
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'sympy=1.5.*' \
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'vincent=0.4.*' \
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'xlrd' \
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&& \
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conda clean --all -f -y && \
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# Activate ipywidgets extension in the environment that runs the notebook server
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jupyter nbextension enable --py widgetsnbextension --sys-prefix && \
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# Also activate ipywidgets extension for JupyterLab
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# Check this URL for most recent compatibilities
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# https://github.com/jupyter-widgets/ipywidgets/tree/master/packages/jupyterlab-manager
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jupyter labextension install @jupyter-widgets/jupyterlab-manager@^1.0.1 --no-build && \
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jupyter labextension install jupyterlab_bokeh@1.0.0 --no-build && \
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jupyter lab build && \
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npm cache clean --force && \
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rm -rf $CONDA_DIR/share/jupyter/lab/staging && \
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rm -rf /home/$NB_USER/.cache/yarn && \
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rm -rf /home/$NB_USER/.node-gyp && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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# Install facets which does not have a pip or conda package at the moment
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RUN cd /tmp && \
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git clone https://github.com/PAIR-code/facets.git && \
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cd facets && \
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jupyter nbextension install facets-dist/ --sys-prefix && \
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cd && \
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rm -rf /tmp/facets && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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# Import matplotlib the first time to build the font cache.
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ENV XDG_CACHE_HOME /home/$NB_USER/.cache/
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RUN MPLBACKEND=Agg python -c "import matplotlib.pyplot" && \
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fix-permissions /home/$NB_USER
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USER $NB_UID
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############################################################################
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################ Dependency: jupyter/datascience-notebook ##################
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############################################################################
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# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
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# Set when building on Travis so that certain long-running build steps can
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# be skipped to shorten build time.
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ARG TEST_ONLY_BUILD
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USER root
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# R pre-requisites
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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fonts-dejavu \
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gfortran \
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gcc && \
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rm -rf /var/lib/apt/lists/*
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# Julia dependencies
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# install Julia packages in /opt/julia instead of $HOME
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ENV JULIA_DEPOT_PATH=/opt/julia
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ENV JULIA_PKGDIR=/opt/julia
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ENV JULIA_VERSION=1.3.1
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RUN mkdir /opt/julia-${JULIA_VERSION} && \
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cd /tmp && \
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wget -q https://julialang-s3.julialang.org/bin/linux/x64/`echo ${JULIA_VERSION} | cut -d. -f 1,2`/julia-${JULIA_VERSION}-linux-x86_64.tar.gz && \
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echo "faa707c8343780a6fe5eaf13490355e8190acf8e2c189b9e7ecbddb0fa2643ad *julia-${JULIA_VERSION}-linux-x86_64.tar.gz" | sha256sum -c - && \
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tar xzf julia-${JULIA_VERSION}-linux-x86_64.tar.gz -C /opt/julia-${JULIA_VERSION} --strip-components=1 && \
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rm /tmp/julia-${JULIA_VERSION}-linux-x86_64.tar.gz
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RUN ln -fs /opt/julia-*/bin/julia /usr/local/bin/julia
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# Show Julia where conda libraries are \
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RUN mkdir /etc/julia && \
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echo "push!(Libdl.DL_LOAD_PATH, \"$CONDA_DIR/lib\")" >> /etc/julia/juliarc.jl && \
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# Create JULIA_PKGDIR \
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mkdir $JULIA_PKGDIR && \
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chown $NB_USER $JULIA_PKGDIR && \
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fix-permissions $JULIA_PKGDIR
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USER $NB_UID
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# R packages including IRKernel which gets installed globally.
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RUN conda install --quiet --yes \
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'r-base=3.6.2' \
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'r-caret=6.0*' \
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'r-crayon=1.3*' \
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'r-devtools=2.2*' \
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'r-forecast=8.10*' \
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'r-hexbin=1.28*' \
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'r-htmltools=0.4*' \
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'r-htmlwidgets=1.5*' \
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'r-irkernel=1.1*' \
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'r-nycflights13=1.0*' \
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'r-plyr=1.8*' \
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'r-randomforest=4.6*' \
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'r-rcurl=1.98*' \
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'r-reshape2=1.4*' \
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'r-rmarkdown=2.1*' \
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'r-rsqlite=2.1*' \
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'r-shiny=1.3*' \
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'r-tidyverse=1.3*' \
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'rpy2=3.1*' \
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&& \
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conda clean --all -f -y && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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# Add Julia packages. Only add HDF5 if this is not a test-only build since
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# it takes roughly half the entire build time of all of the images on Travis
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# to add this one package and often causes Travis to timeout.
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#
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# Install IJulia as jovyan and then move the kernelspec out
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# to the system share location. Avoids problems with runtime UID change not
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# taking effect properly on the .local folder in the jovyan home dir.
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RUN julia -e 'import Pkg; Pkg.update()' && \
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(test $TEST_ONLY_BUILD || julia -e 'import Pkg; Pkg.add("HDF5")') && \
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julia -e "using Pkg; pkg\"add IJulia\"; pkg\"precompile\"" && \
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# move kernelspec out of home \
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mv $HOME/.local/share/jupyter/kernels/julia* $CONDA_DIR/share/jupyter/kernels/ && \
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chmod -R go+rx $CONDA_DIR/share/jupyter && \
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rm -rf $HOME/.local && \
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fix-permissions $JULIA_PKGDIR $CONDA_DIR/share/jupyter
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############################################################################
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########################## Dependency: gpulibs #############################
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############################################################################
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LABEL maintainer="Christoph Schranz <christoph.schranz@salzburgresearch.at>"
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# Install Tensorflow, check compatibility here: https://www.tensorflow.org/install/gpu
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RUN conda install --quiet --yes \
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'tensorflow-gpu=2.1*' \
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'keras-gpu' && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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# Install PyTorch with dependencies
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RUN conda install --quiet --yes \
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pyyaml mkl mkl-include setuptools cmake cffi typing
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# Check compatibility here: https://pytorch.org/get-started/locally/
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RUN conda install --quiet --yes \
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pytorch \
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torchvision \
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cudatoolkit=10.1 -c pytorch
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# pip install torch_nightly -f https://download.pytorch.org/whl/nightly/cu90/torch_nightly.html && \
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# Clean installation
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RUN conda clean --all -f -y && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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############################################################################
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############################ Useful packages ###############################
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############################################################################
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LABEL maintainer="Christoph Schranz <christoph.schranz@salzburgresearch.at>"
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# Update conda
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RUN conda update -n base conda -y
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USER root
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# Install elasticsearch libs
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USER root
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RUN apt-get update \
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&& curl -sL https://repo1.maven.org/maven2/org/elasticsearch/elasticsearch-hadoop/6.8.1/elasticsearch-hadoop-6.8.1.jar
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RUN pip install --no-cache-dir elasticsearch==7.1.0
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# Install rpy2 to share data between Python and R
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RUN conda install rpy2=2.9.4 plotly=4.4.1
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RUN conda install -c conda-forge ipyleaflet
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# Install important packages and Graphviz
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RUN set -ex \
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&& buildDeps=' \
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graphviz==0.11 \
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' \
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&& apt-get update \
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&& apt-get -y install htop apt-utils graphviz libgraphviz-dev \
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&& pip install --no-cache-dir $buildDeps
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# Install various extensions
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RUN jupyter labextension install @jupyterlab/github
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RUN jupyter labextension install jupyterlab-drawio
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RUN jupyter labextension install jupyter-leaflet
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RUN jupyter labextension install @jupyterlab/plotly-extension
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RUN jupyter labextension install @jupyter-widgets/jupyterlab-manager
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RUN pip install --no-cache-dir jupyter-tabnine==1.0.2 && \
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jupyter nbextension install --py jupyter_tabnine && \
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jupyter nbextension enable --py jupyter_tabnine && \
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jupyter serverextension enable --py jupyter_tabnine
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RUN fix-permissions $CONDA_DIR
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RUN conda install -c conda-forge jupyter_contrib_nbextensions && \
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conda install -c conda-forge jupyter_nbextensions_configurator && \
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conda install -c conda-forge rise && \
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jupyter nbextension enable codefolding/main
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RUN jupyter labextension install @ijmbarr/jupyterlab_spellchecker
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RUN fix-permissions /home/$NB_USER
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# Switch back to jovyan to avoid accidental container runs as root
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USER $NB_UID
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# Copy jupyter_notebook_config.json
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COPY jupyter_notebook_config.json /etc/jupyter/
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