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add: julia 1.8 kernelspec
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‎julia/Dockerfile.1.8-ubuntu20.04

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FROM ubuntu:20.04
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# Ubuntu 20.04 comes with Python 3.8
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ENV DEBIAN_FRONTEND noninteractive
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RUN apt-get update && \
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apt-get install -y \
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ca-certificates \
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wget curl git-core \
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vim-tiny zip unzip \
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python3 python3-pip \
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libssl-dev \
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libmpdec2 \
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proj-bin libproj-dev \
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libgeos-dev libgeos++-dev \
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mime-support \
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gcc g++ \
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cmake \
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ncurses-term && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/
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RUN ln -sf /usr/share/terminfo/x/xterm-color /usr/share/terminfo/x/xterm-256color
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ENV PYTHONUNBUFFERED=1 \
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PATH=/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin \
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LANG=C.UTF-8
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RUN curl https://bootstrap.pypa.io/get-pip.py | python3 && \
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python3 -m pip install --no-cache-dir -U setuptools && \
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python3 -m pip install --no-cache-dir h5py && \
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python3 -m pip install --no-cache-dir Cython && \
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python3 -m pip install --no-cache-dir matplotlib bokeh && \
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python3 -m pip install --no-cache-dir versioneer && \
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python3 -m pip install --no-cache-dir pyproj cartopy==0.19.0.post1 && \
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python3 -m pip install --no-cache-dir pandas && \
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python3 -m pip install --no-cache-dir seaborn && \
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python3 -m pip install --no-cache-dir pillow && \
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python3 -m pip install --no-cache-dir networkx cvxpy && \
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python3 -m pip install --no-cache-dir scikit-learn scikit-image && \
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python3 -m pip install --no-cache-dir pygments && \
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python3 -m pip install --no-cache-dir ipython && \
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python3 -m pip install --no-cache-dir jupyter && \
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python3 -m pip install --no-cache-dir jupyterlab && \
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rm -rf /root/.cache && \
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rm -f /tmp/*.whl
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RUN update-alternatives --install /usr/bin/python python /usr/bin/python3 2
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# Install jupyter & Julia
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ARG JULIA_VERSION
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ENV JULIA_VERSION ${JULIA_VERSION:-1.8.5}
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ENV JULIA_PATH "/usr/local/julia"
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ENV PATH $JULIA_PATH:$JULIA_PATH/bin:$PATH
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RUN dpkgArch="$(dpkg --print-architecture)"; \
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case "${dpkgArch##*-}" in \
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amd64) tarArch='x86_64'; dirArch='x64';; \
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armhf) tarArch='arm'; dirArch='arm';; \
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i386) tarArch='i686'; dirArch='x86';; \
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*) echo >&2 "error: current architecture ($dpkgArch) does not have a corresponding Julia binary release"; exit 1 ;; \
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esac; \
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\
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curl -fL -o julia.tar.gz "https://julialang-s3.julialang.org/bin/linux/${dirArch}/${JULIA_VERSION%[.-]*}/julia-${JULIA_VERSION}-linux-${tarArch}.tar.gz"; \
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\
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mkdir "$JULIA_PATH"; \
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tar -xzf julia.tar.gz -C "$JULIA_PATH" --strip-components 1; \
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rm julia.tar.gz
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#add IJulia package to make Julia kernel available in jupyter
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ENV JULIA_PKG_LOC /opt/julia
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ENV JULIA_LOAD_PATH :/opt/julia
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ENV JULIA_DEPOT_PATH /opt/julia
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RUN mkdir ${JULIA_PKG_LOC}
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RUN julia -e 'ENV["JUPYTER"]="jupyter"' && \
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julia -e 'ENV["PYTHON"]="python3"' && \
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julia -e 'ENV["JULIA_DEPOT_PATH"]="/opt/julia"' && \
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julia -e 'using Pkg; Pkg.add("IJulia");'
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RUN julia -e 'using Pkg; Pkg.add("Plots"); using Plots;'
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RUN julia -e 'using Pkg; Pkg.add("DataFrames");' && \
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julia -e 'using Pkg; Pkg.add("RDatasets");' && \
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julia -e 'using Pkg; Pkg.add("PyPlot");' && \
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julia -e 'using Pkg; Pkg.add("CSV");' && \
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julia -e 'using Pkg; Pkg.add("Pandas"); using Pandas;'
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SHELL ["/bin/bash", "-c"]
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RUN julia -e 'using IJulia' && \
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chmod -R 755 /opt/julia/compiled
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SHELL ["/bin/sh", "-c"]
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# Install ipython kernelspec
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COPY kernel.1.8.json /usr/local/share/jupyter/kernels/julia-1.8/kernel.json
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COPY logo-32x32.png /usr/local/share/jupyter/kernels/julia-1.8/logo-32x32.png
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COPY logo-64x64.png /usr/local/share/jupyter/kernels/julia-1.8/logo-64x64.png
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# Backend.AI specifics
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LABEL ai.backend.kernelspec="1" \
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ai.backend.envs.corecount="OPENBLAS_NUM_THREADS,OMP_NUM_THREADS,NPROC" \
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ai.backend.features="batch query uid-match user-input" \
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ai.backend.resource.min.cpu="1" \
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ai.backend.resource.min.mem="512m" \
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ai.backend.base-distro="ubuntu20.04" \
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ai.backend.runtime-type="python" \
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ai.backend.runtime-path="/usr/bin/python3" \
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ai.backend.service-ports="ipython:pty:3000,jupyter:http:8070,jupyterlab:http:8090"
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COPY policy.yml /etc/backend.ai/jail/policy.yml
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ENV JULIA_DEPOT_PATH /home/work/.julia:/opt/julia
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ENV JULIA_PROJECT /home/work/.julia
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# vim: ft=dockerfile
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‎julia/kernel.1.8.json

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{
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"display_name": "Julia 1.8 on Backend.AI",
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"argv": [
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"/usr/local/julia/bin/julia",
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"-i",
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"--startup-file=yes",
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"--color=yes",
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"/opt/julia/packages/IJulia/e8kqU/src/kernel.jl",
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"{connection_file}"
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],
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"language": "julia",
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"env": {}
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}

‎python/Dockerfile.3.10-ubuntu20.04

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RUN python3.10 -m ipykernel install --display-name "Python 3.10 on Backend.AI" && \
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cat /usr/local/share/jupyter/kernels/python3/kernel.json
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# Copy Backend.AI multi-node support
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COPY ./runner-scripts/bootstrap.sh runner-scripts/setup_multinode.py /opt/container/
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# Backend.AI specifics
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COPY ./service-defs /etc/backend.ai/service-defs
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LABEL ai.backend.kernelspec="1" \

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