Files
docker-stacks/datascience-notebook/Dockerfile
romainx 3f1fc82e03 Fix DL3059 info: Multiple consecutive RUN ...
Also fixed Mambaforge checksum
2021-05-04 21:58:36 +02:00

92 lines
3.1 KiB
Docker

# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
ARG BASE_CONTAINER=jupyter/scipy-notebook
FROM $BASE_CONTAINER
LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
# Fix DL4006
SHELL ["/bin/bash", "-o", "pipefail", "-c"]
USER root
# Julia installation
# Default values can be overridden at build time
# (ARGS are in lower case to distinguish them from ENV)
# Check https://julialang.org/downloads/
ARG julia_version="1.6.0"
# SHA256 checksum
ARG julia_checksum="463b71dc70ca7094c0e0fd6d55d130051a7901e8dec5eb44d6002c57d1bd8585"
# R pre-requisites
RUN apt-get update && \
apt-get install -y --no-install-recommends \
fonts-dejavu \
gfortran \
gcc && \
apt-get clean && rm -rf /var/lib/apt/lists/*
# Julia dependencies
# install Julia packages in /opt/julia instead of $HOME
ENV JULIA_DEPOT_PATH=/opt/julia \
JULIA_PKGDIR=/opt/julia \
JULIA_VERSION="${julia_version}"
WORKDIR /tmp
# hadolint ignore=SC2046
RUN mkdir "/opt/julia-${JULIA_VERSION}" && \
wget -q https://julialang-s3.julialang.org/bin/linux/x64/$(echo "${JULIA_VERSION}" | cut -d. -f 1,2)"/julia-${JULIA_VERSION}-linux-x86_64.tar.gz" && \
echo "${julia_checksum} *julia-${JULIA_VERSION}-linux-x86_64.tar.gz" | sha256sum -c - && \
tar xzf "julia-${JULIA_VERSION}-linux-x86_64.tar.gz" -C "/opt/julia-${JULIA_VERSION}" --strip-components=1 && \
rm "/tmp/julia-${JULIA_VERSION}-linux-x86_64.tar.gz" && \
ln -fs /opt/julia-*/bin/julia /usr/local/bin/julia
# Show Julia where conda libraries are \
RUN mkdir /etc/julia && \
echo "push!(Libdl.DL_LOAD_PATH, \"$CONDA_DIR/lib\")" >> /etc/julia/juliarc.jl && \
# Create JULIA_PKGDIR \
mkdir "${JULIA_PKGDIR}" && \
chown "${NB_USER}" "${JULIA_PKGDIR}" && \
fix-permissions "${JULIA_PKGDIR}"
USER $NB_UID
# R packages including IRKernel which gets installed globally.
RUN conda install --quiet --yes \
'r-base=4.0.3' \
'r-caret=6.0*' \
'r-crayon=1.4*' \
'r-devtools=2.4*' \
'r-forecast=8.14*' \
'r-hexbin=1.28*' \
'r-htmltools=0.5*' \
'r-htmlwidgets=1.5*' \
'r-irkernel=1.1*' \
'r-nycflights13=1.0*' \
'r-randomforest=4.6*' \
'r-rcurl=1.98*' \
'r-rmarkdown=2.7*' \
'r-rsqlite=2.2*' \
'r-shiny=1.6*' \
'r-tidyverse=1.3*' \
'rpy2=3.4*' && \
conda clean --all -f -y && \
fix-permissions "${CONDA_DIR}" && \
fix-permissions "/home/${NB_USER}"
# Add Julia packages.
# Install IJulia as jovyan and then move the kernelspec out
# to the system share location. Avoids problems with runtime UID change not
# taking effect properly on the .local folder in the jovyan home dir.
RUN julia -e 'import Pkg; Pkg.update()' && \
julia -e 'import Pkg; Pkg.add("HDF5")' && \
julia -e 'using Pkg; pkg"add IJulia"; pkg"precompile"' && \
# move kernelspec out of home \
mv "${HOME}/.local/share/jupyter/kernels/julia"* "${CONDA_DIR}/share/jupyter/kernels/" && \
chmod -R go+rx "${CONDA_DIR}/share/jupyter" && \
rm -rf "${HOME}/.local" && \
fix-permissions "${JULIA_PKGDIR}" "${CONDA_DIR}/share/jupyter"
WORKDIR $HOME