如何检查 `jupyter/datascience-notebook` 中安装了哪些 Julia 软件包？答案

【问题标题】：How to check what Julia packages are installed in `jupyter/datascience-notebook`?如何检查 `jupyter/datascience-notebook` 中安装了哪些 Julia 软件包？
【发布时间】：2022-01-30 04:15:27
【问题描述】：

我在 Julia x Jupyter 项目中，我选择使用包含 jupyterlab 和 Julia 环境的 jupyter/datascience-notebook Docker Image。

我想知道 jupyter/datascience-notebook 中预装了 Julia 的哪些软件包，并知道我需要手动安装哪些额外的软件包。

我阅读了Dockerfile of datascience-notebook 以了解jupyter/datascience-notebook 映像中安装了哪些软件包，但我找不到指定julia 软件包的行。

# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
ARG OWNER=jupyter
ARG BASE_CONTAINER=$OWNER/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="1.7.1"

# R pre-requisites
RUN apt-get update --yes && \
    apt-get install --yes --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 set -x && \
    julia_arch=$(uname -m) && \
    julia_short_arch="${julia_arch}" && \
    if [ "${julia_short_arch}" == "x86_64" ]; then \
      julia_short_arch="x64"; \
    fi; \
    julia_installer="julia-${JULIA_VERSION}-linux-${julia_arch}.tar.gz" && \
    julia_major_minor=$(echo "${JULIA_VERSION}" | cut -d. -f 1,2) && \
    mkdir "/opt/julia-${JULIA_VERSION}" && \
    wget -q "https://julialang-s3.julialang.org/bin/linux/${julia_short_arch}/${julia_major_minor}/${julia_installer}" && \
    tar xzf "${julia_installer}" -C "/opt/julia-${JULIA_VERSION}" --strip-components=1 && \
    rm "${julia_installer}" && \
    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.
# r-e1071: dependency of the caret R package
RUN mamba install --quiet --yes \
    'r-base' \
    'r-caret' \
    'r-crayon' \
    'r-devtools' \
    'r-e1071' \
    'r-forecast' \
    'r-hexbin' \
    'r-htmltools' \
    'r-htmlwidgets' \
    'r-irkernel' \
    'r-nycflights13' \
    'r-randomforest' \
    'r-rcurl' \
    'r-rodbc' \
    'r-rsqlite' \
    'r-shiny' \
    'rpy2' \
    'unixodbc' && \
    mamba clean --all -f -y && \
    fix-permissions "${CONDA_DIR}" && \
    fix-permissions "/home/${NB_USER}"

# These packages are not easy to install under arm
RUN set -x && \
    arch=$(uname -m) && \
    if [ "${arch}" == "x86_64" ]; then \
        mamba install --quiet --yes \
            'r-rmarkdown' \
            'r-tidymodels' \
            'r-tidyverse' && \
            mamba clean --all -f -y && \
            fix-permissions "${CONDA_DIR}" && \
            fix-permissions "/home/${NB_USER}"; \
    fi;

# 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}"

如何查看jupyter/datascience-notebook 中安装了哪些 Julia 软件包？

【问题讨论】：

标签： docker jupyter-notebook julia jupyter-lab

【解决方案1】：

在您的代码julia -e 'import Pkg; Pkg.add("HDF5")' 中安装了 HDF5 包，它是除 IJulia 之外唯一安装的包。

如果您想显示 Julia 环境中安装的软件包列表，您可以这样做：

julia -e 'using Pkg;Pkg.status()'

查看您的代码，只要您将 Julia 仓库位置 env 变量设置为：JULIA_DEPOT_PATH=/opt/julia

【讨论】：