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add: Julia 1.5 kernel
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‎julia/Dockerfile.1.5-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 && \
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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:-1.5.3}
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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("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("Plots"); using Plots;' && \
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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.json /usr/local/share/jupyter/kernels/julia-1.5/kernel.json
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COPY logo-32x32.png /usr/local/share/jupyter/kernels/julia-1.5/logo-32x32.png
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COPY logo-64x64.png /usr/local/share/jupyter/kernels/julia-1.5/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.json

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{
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"display_name": "Julia 1.0.3",
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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/IJulia/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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}
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"display_name": "Julia 1.5 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/IDNmS/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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}

‎julia/logo-32x32.png

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‎julia/logo-64x64.png

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‎julia/service-defs/digits.json

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{
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"command": [
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"{runtime_path}", "-m", "digits"
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]
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}

‎julia/service-defs/ipython.json

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{
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"command": [
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"{runtime_path}", "-m", "IPython"
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]
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}

‎julia/service-defs/jupyter.json

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{
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"prestart": [
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{
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"action": "write_tempfile",
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"args": {
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"body": [
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"c.NotebookApp.allow_root = True\n",
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"c.NotebookApp.ip = \"0.0.0.0\"\n",
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"c.NotebookApp.port = {ports[0]}\n",
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"c.NotebookApp.token = \"\"\n",
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"c.FileContentsManager.delete_to_trash = False\n"
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]
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},
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"ref": "jupyter_cfg"
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}
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],
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"command": [
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"{runtime_path}", "-m", "notebook", "--no-browser", "--config", "{jupyter_cfg}"
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]
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}

‎julia/service-defs/jupyterlab.json

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{
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"prestart": [
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{
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"action": "write_tempfile",
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"args": {
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"body": [
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"c.NotebookApp.allow_root = True\n",
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"c.NotebookApp.ip = \"0.0.0.0\"\n",
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"c.NotebookApp.port = {ports[0]}\n",
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"c.NotebookApp.token = \"\"\n",
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"c.FileContentsManager.delete_to_trash = False\n"
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]
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},
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"ref": "jupyter_cfg"
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}
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],
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"command": [
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"{runtime_path}", "-m", "jupyterlab", "--no-browser", "--config", "{jupyter_cfg}"
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]
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}

‎julia/service-defs/nni.json

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{
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"prestart": [
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{
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"action": "mkdir",
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"args": {
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"path": "/home/work/.config/nni"
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}
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}
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],
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"command": [
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"{runtime_path}",
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"-m", "nni.main",
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"--logdir", "/home/work/logs",
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"--create", "/home/work/.config/nni/config.yml",
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"--host", "0.0.0.0",
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"--port", "{ports[0]}"
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]
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}

‎julia/service-defs/sftp.json

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{
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"command": [
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"{runtime_path}", "-m", "sftpserver", "--port", "{ports[0]}"
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]
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}

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