mirror of
https://github.com/jupyter/docker-stacks.git
synced 2025-10-10 11:32:57 +00:00
d3ef6d89b2
* Bump `base-notebook` * OS version * `jupyterlab` * Bump `scipy-notebook` * `beautifulsoup4` * `cloudpickle` * `dask` * `numba` * `xlrd`: version specified (it was not the case) * Bump `datascience-notebook` * `r-devtools` * `r-forecast` * Julia version * Test added to check if Julia is correctly installed (`julia --version`) * Note: A new version of `r-base` is out `4.0.0` however it cannot be installed yet since dependencies with other packages cannot be resolved. * Bump `r-notebook` * Same as `datascience-notebook` except Julia. * Bump `all-spark-notebook` * `r-sparklyr`
87 lines
3.0 KiB
Docker
87 lines
3.0 KiB
Docker
# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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ARG BASE_CONTAINER=jupyter/scipy-notebook
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FROM $BASE_CONTAINER
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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 $HOME
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ENV JULIA_DEPOT_PATH=/opt/julia
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ENV JULIA_PKGDIR=/opt/julia
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ENV JULIA_VERSION=1.4.1
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RUN mkdir /opt/julia-${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 "fd6d8cadaed678174c3caefb92207a3b0e8da9f926af6703fb4d1e4e4f50610a *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=3.6.3' \
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'r-caret=6.0*' \
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'r-crayon=1.3*' \
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'r-devtools=2.3*' \
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'r-forecast=8.12*' \
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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=2.2*' \
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'r-shiny=1.4*' \
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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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