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Author | SHA1 | Date |
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Mark | b4659cd333 | |
Mark | 0d21666f7e |
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@ -13,6 +13,22 @@ The images these files produce contain everything you could possibly want in a j
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To build this image, run `build/build.fish.` Edit the script to customize the image.
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## Configuration
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Change the permissions on the configuration volume (see `docker-compose.yml`) if you get errors.
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You may want to add the following lines to `jupyter_notebook_config.py`:
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```
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c.ServerApp.local_hostnames = ["localhost", "0.0.0.0"]
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c.ServerApp.token = "a_long_random_string"
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```
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The first sets `0.0.0.0` to the allowed local hostname list. This prevents a possible "connection reset" when connecting to the docker container. Opens jupyter up to the outside internet, but you should have your inbound ports firewalled off anyway.
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The second line sets a persistent token. If this config value is unset, jupyter will generate a new one on each run, making it hard to make a one-click bookmark.
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## Image contents
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- jupyterlab, jupyterhub, notebook
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@ -28,6 +44,7 @@ To build this image, run `build/build.fish.` Edit the script to customize the im
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- pandas
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- Octave
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- R
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- Julia
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## TODO
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@ -38,6 +55,5 @@ To build this image, run `build/build.fish.` Edit the script to customize the im
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- Haskell ([source](https://github.com/IHaskell/ihaskell-notebook))
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- Rust Kernel
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- C++ Kernel
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- Julia Kernel
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- Perl Kernel
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- Maxima Kernel
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@ -52,6 +52,8 @@ printf "Done. \n\n"
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build_image false octave
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build_image false r
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build_image false julia
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#build_image false haskell (BROKEN)
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#build_image false sage (BROKEN)
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#build_image false selenium (BROKEN)
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@ -0,0 +1,46 @@
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ARG BASE_CONTAINER=betalupi/jupyter-base
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FROM $BASE_CONTAINER
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LABEL maintainer="Mark <mark@betalupi.com>"
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# install Julia packages in /opt/julia instead of $HOME
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ENV JULIA_DEPOT_PATH=/opt/julia
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ENV JULIA_PKGDIR=/opt/julia
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ENV JULIA_VERSION=1.4.1
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USER root
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WORKDIR /tmp
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RUN mkdir "/opt/julia-${JULIA_VERSION}" && \
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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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# 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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WORKDIR $HOME
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