docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest linux/amd64

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest  docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest  docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest

Shell快速替换命令

sed -i 's#kubeflownotebookswg/jupyter-pytorch-full:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest  docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest  docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest'

镜像构建历史

# 2025-02-18 07:58:33  87.55MB 执行命令并创建新的镜像层
RUN /bin/bash -c python3 -m pip install -r /tmp/requirements.txt --quiet --no-cache-dir  && rm -f /tmp/requirements.txt # buildkit
                        
# 2025-02-18 07:58:26  79.00B 复制新文件或目录到容器中
COPY --chown=jovyan:0 requirements.txt /tmp/requirements.txt # buildkit
                        
# 2025-02-18 07:58:26  1.54GB 执行命令并创建新的镜像层
RUN /bin/bash -c mamba install -y -q     bokeh==3.6.3     cloudpickle==3.1.1     dill==0.3.9     ipympl==0.9.6     matplotlib==3.10.0     numpy==1.26.4     pandas==2.2.3     scikit-image==0.25.1     scikit-learn==1.6.1     scipy==1.15.1     seaborn==0.13.2     xgboost==2.1.4  && mamba clean -a -f -y # buildkit
                        
# 2025-02-18 07:54:25  0.00B 执行命令并创建新的镜像层
RUN |3 PYTORCH_VERSION=2.5.1 TORCHAUDIO_VERSION=2.5.1 TORCHVISION_VERSION=0.20.1 /bin/bash -c python3 -m pip install -r /tmp/requirements.txt --quiet --no-cache-dir  && rm -f /tmp/requirements.txt # buildkit
                        
# 2025-02-18 07:54:25  0.00B 复制新文件或目录到容器中
COPY --chown=jovyan:0 requirements.txt /tmp # buildkit
                        
# 2025-02-18 07:54:25  897.09MB 执行命令并创建新的镜像层
RUN |3 PYTORCH_VERSION=2.5.1 TORCHAUDIO_VERSION=2.5.1 TORCHVISION_VERSION=0.20.1 /bin/bash -c python3 -m pip install --quiet --no-cache-dir --index-url https://download.pytorch.org/whl/cpu --extra-index-url https://pypi.org/simple     torch==${PYTORCH_VERSION}     torchaudio==${TORCHAUDIO_VERSION}     torchvision==${TORCHVISION_VERSION} # buildkit
                        
# 2025-02-18 07:54:25  0.00B 定义构建参数
ARG TORCHVISION_VERSION=0.20.1
                        
# 2025-02-18 07:54:25  0.00B 定义构建参数
ARG TORCHAUDIO_VERSION=2.5.1
                        
# 2025-02-18 07:54:25  0.00B 定义构建参数
ARG PYTORCH_VERSION=2.5.1
                        
# 2025-02-18 07:45:52  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2025-02-18 07:45:52  67.00B 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.3.5 JUPYTER_VERSION=7.3.2 MINIFORGE_VERSION=24.11.3-0 NODE_MAJOR_VERSION=20 PIP_VERSION=24.3.1 PYTHON_VERSION=3.11.11 /bin/bash -c cp -p -r -T "${HOME}" "${HOME_TMP}"  && chmod -R g=u "${HOME_TMP}" # buildkit
                        
# 2025-02-18 07:45:52  190.00B 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.3.5 JUPYTER_VERSION=7.3.2 MINIFORGE_VERSION=24.11.3-0 NODE_MAJOR_VERSION=20 PIP_VERSION=24.3.1 PYTHON_VERSION=3.11.11 /bin/bash -c jupyter labextension disable --level=system "@jupyterlab/apputils-extension:announcements"  && jupyter labextension lock --level=system "@jupyterlab/apputils-extension" # buildkit
                        
# 2025-02-18 07:45:49  1.15KB 复制新文件或目录到容器中
COPY --chown=jovyan:0 --chmod=755 s6/ /etc # buildkit
                        
# 2025-02-18 07:45:49  0.00B 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.3.5 JUPYTER_VERSION=7.3.2 MINIFORGE_VERSION=24.11.3-0 NODE_MAJOR_VERSION=20 PIP_VERSION=24.3.1 PYTHON_VERSION=3.11.11 /bin/bash -c python3 -m pip install -r /tmp/requirements.txt --quiet --no-cache-dir  && rm -f /tmp/requirements.txt # buildkit
                        
# 2025-02-18 07:45:48  0.00B 复制新文件或目录到容器中
COPY --chown=jovyan:0 requirements.txt /tmp # buildkit
                        
# 2025-02-18 07:45:48  209.40MB 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.3.5 JUPYTER_VERSION=7.3.2 MINIFORGE_VERSION=24.11.3-0 NODE_MAJOR_VERSION=20 PIP_VERSION=24.3.1 PYTHON_VERSION=3.11.11 /bin/bash -c echo "jupyterlab ==${JUPYTERLAB_VERSION}" >> ${CONDA_DIR}/conda-meta/pinned  && echo "notebook ==${JUPYTER_VERSION}" >> ${CONDA_DIR}/conda-meta/pinned  && conda install -y -q     jupyterlab==${JUPYTERLAB_VERSION}     notebook==${JUPYTER_VERSION}  && conda clean -a -f -y # buildkit
                        
# 2025-02-18 07:45:25  263.09MB 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.3.5 JUPYTER_VERSION=7.3.2 MINIFORGE_VERSION=24.11.3-0 NODE_MAJOR_VERSION=20 PIP_VERSION=24.3.1 PYTHON_VERSION=3.11.11 /bin/bash -c case "${TARGETARCH}" in       amd64) MINIFORGE_ARCH="x86_64" ;;       arm64) MINIFORGE_ARCH="aarch64" ;;       ppc64le) MINIFORGE_ARCH="ppc64le" ;;       *) echo "Unsupported architecture: ${TARGETARCH}"; exit 1 ;;     esac  && curl -fsSL "https://github.com/conda-forge/miniforge/releases/download/${MINIFORGE_VERSION}/Miniforge3-${MINIFORGE_VERSION}-Linux-${MINIFORGE_ARCH}.sh" -o /tmp/Miniforge3.sh  && curl -fsSL "https://github.com/conda-forge/miniforge/releases/download/${MINIFORGE_VERSION}/Miniforge3-${MINIFORGE_VERSION}-Linux-${MINIFORGE_ARCH}.sh.sha256" -o /tmp/Miniforge3.sh.sha256  && echo "$(cat /tmp/Miniforge3.sh.sha256 | awk '{ print $1; }')  /tmp/Miniforge3.sh" | sha256sum -c -  && rm /tmp/Miniforge3.sh.sha256  && /bin/bash /tmp/Miniforge3.sh -b -f -p ${CONDA_DIR}  && rm /tmp/Miniforge3.sh  && conda config --system --set auto_update_conda false  && conda config --system --set show_channel_urls true  && echo "python ==${PYTHON_VERSION}" >> ${CONDA_DIR}/conda-meta/pinned  && conda install -y -q     python=${PYTHON_VERSION}     pip=${PIP_VERSION}  && conda update -y -q --all  && conda clean -a -f -y # buildkit
                        
# 2025-02-18 07:44:41  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-02-18 07:44:41  0.00B 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.3.5 JUPYTER_VERSION=7.3.2 MINIFORGE_VERSION=24.11.3-0 NODE_MAJOR_VERSION=20 PIP_VERSION=24.3.1 PYTHON_VERSION=3.11.11 /bin/bash -c mkdir -pv /usr/local/etc/jupyter  && chown -R ${NB_USER}:${NB_GID} /usr/local/etc/jupyter # buildkit
                        
# 2025-02-18 07:44:41  694.00B 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.3.5 JUPYTER_VERSION=7.3.2 MINIFORGE_VERSION=24.11.3-0 NODE_MAJOR_VERSION=20 PIP_VERSION=24.3.1 PYTHON_VERSION=3.11.11 /bin/bash -c mkdir -pv ${CONDA_DIR}  && chmod 2775 ${CONDA_DIR}  && echo ". /opt/conda/etc/profile.d/conda.sh" >> ${HOME}/.bashrc  && echo ". /opt/conda/etc/profile.d/conda.sh" >> /etc/profile  && echo "conda activate base" >> ${HOME}/.bashrc  && echo "conda activate base" >> /etc/profile  && chown -R ${NB_USER}:${NB_GID} ${CONDA_DIR}  && chown -R ${NB_USER}:${USERS_GID} ${HOME} # buildkit
                        
# 2025-02-18 07:44:41  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-02-18 07:44:41  0.00B 设置环境变量 CONDA_DIR
ENV CONDA_DIR=/opt/conda
                        
# 2025-02-18 07:44:41  161.26MB 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.3.5 JUPYTER_VERSION=7.3.2 MINIFORGE_VERSION=24.11.3-0 NODE_MAJOR_VERSION=20 PIP_VERSION=24.3.1 PYTHON_VERSION=3.11.11 /bin/bash -c export DEBIAN_FRONTEND=noninteractive  && curl -sL "https://deb.nodesource.com/gpgkey/nodesource-repo.gpg.key" | apt-key add -  && echo "deb https://deb.nodesource.com/node_${NODE_MAJOR_VERSION}.x nodistro main" > /etc/apt/sources.list.d/nodesource.list  && apt-get -yq update  && apt-get -yq install --no-install-recommends     nodejs  && apt-get clean  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-02-18 07:44:41  0.00B 定义构建参数
ARG PYTHON_VERSION=3.11.11
                        
# 2025-02-18 07:44:41  0.00B 定义构建参数
ARG PIP_VERSION=24.3.1
                        
# 2025-02-18 07:44:41  0.00B 定义构建参数
ARG NODE_MAJOR_VERSION=20
                        
# 2025-02-18 07:44:41  0.00B 定义构建参数
ARG MINIFORGE_VERSION=24.11.3-0
                        
# 2025-02-18 07:44:41  0.00B 定义构建参数
ARG JUPYTER_VERSION=7.3.2
                        
# 2025-02-18 07:44:41  0.00B 定义构建参数
ARG JUPYTERLAB_VERSION=4.3.5
                        
# 2025-02-18 07:44:41  0.00B 指定运行容器时使用的用户
USER root
                        
# 2025-02-18 07:44:41  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2025-02-18 07:43:36  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/init"]
                        
# 2025-02-18 07:43:36  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-02-18 07:43:36  514.00B 复制新文件或目录到容器中
COPY --chown=jovyan:0 --chmod=755 s6/ /etc # buildkit
                        
# 2025-02-18 07:40:29  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=en_US.UTF-8
                        
# 2025-02-18 07:40:29  0.00B 设置环境变量 LANGUAGE
ENV LANGUAGE=en_US.UTF-8
                        
# 2025-02-18 07:40:29  0.00B 设置环境变量 LANG
ENV LANG=en_US.UTF-8
                        
# 2025-02-18 07:40:29  3.05MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.31.6 S6_VERSION=v3.2.0.2 /bin/bash -c echo "en_US.UTF-8 UTF-8" > /etc/locale.gen  && locale-gen # buildkit
                        
# 2025-02-18 07:40:28  56.71MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.31.6 S6_VERSION=v3.2.0.2 /bin/bash -c useradd -M -N     --shell /bin/bash     --home ${HOME}     --uid ${NB_UID}     --gid ${NB_GID}     --groups ${USERS_GID}     ${NB_USER}  && mkdir -pv ${HOME}  && mkdir -pv ${HOME_TMP}  && chmod 2775 ${HOME}  && chmod 2775 ${HOME_TMP}  && chown -R ${NB_USER}:${USERS_GID} ${HOME}  && chown -R ${NB_USER}:${USERS_GID} ${HOME_TMP}  && chown -R ${NB_USER}:${NB_GID} /usr/local/bin # buildkit
                        
# 2025-02-18 07:40:28  56.38MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.31.6 S6_VERSION=v3.2.0.2 /bin/bash -c curl -fsSL "https://dl.k8s.io/release/${KUBECTL_VERSION}/bin/linux/${TARGETARCH}/kubectl" -o /usr/local/bin/kubectl  && curl -fsSL "https://dl.k8s.io/${KUBECTL_VERSION}/bin/linux/${TARGETARCH}/kubectl.sha256" -o /tmp/kubectl.sha256  && echo "$(cat /tmp/kubectl.sha256 | awk '{ print $1; }')  /usr/local/bin/kubectl" | sha256sum -c -  && rm /tmp/kubectl.sha256  && chmod +x /usr/local/bin/kubectl # buildkit
                        
# 2025-02-18 07:40:26  0.00B 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.31.6 S6_VERSION=v3.2.0.2 /bin/bash -c chmod 0775 /run # buildkit
                        
# 2025-02-18 07:40:26  5.26MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.31.6 S6_VERSION=v3.2.0.2 /bin/bash -c case "${TARGETARCH}" in       amd64) S6_ARCH="x86_64" ;;       arm64) S6_ARCH="aarch64" ;;       ppc64le) S6_ARCH="ppc64le" ;;       *) echo "Unsupported architecture: ${TARGETARCH}"; exit 1 ;;     esac  && curl -fsSL "https://github.com/just-containers/s6-overlay/releases/download/${S6_VERSION}/s6-overlay-noarch.tar.xz" -o /tmp/s6-overlay-noarch.tar.xz  && curl -fsSL "https://github.com/just-containers/s6-overlay/releases/download/${S6_VERSION}/s6-overlay-noarch.tar.xz.sha256" -o /tmp/s6-overlay-noarch.tar.xz.sha256  && echo "$(cat /tmp/s6-overlay-noarch.tar.xz.sha256 | awk '{ print $1; }')  /tmp/s6-overlay-noarch.tar.xz" | sha256sum -c -  && curl -fsSL "https://github.com/just-containers/s6-overlay/releases/download/${S6_VERSION}/s6-overlay-${S6_ARCH}.tar.xz" -o /tmp/s6-overlay-${S6_ARCH}.tar.xz  && curl -fsSL "https://github.com/just-containers/s6-overlay/releases/download/${S6_VERSION}/s6-overlay-${S6_ARCH}.tar.xz.sha256" -o /tmp/s6-overlay-${S6_ARCH}.tar.xz.sha256  && echo "$(cat /tmp/s6-overlay-${S6_ARCH}.tar.xz.sha256 | awk '{ print $1; }')  /tmp/s6-overlay-${S6_ARCH}.tar.xz" | sha256sum -c -  && tar -C / -Jxpf /tmp/s6-overlay-noarch.tar.xz  && tar -C / -Jxpf /tmp/s6-overlay-${S6_ARCH}.tar.xz  && rm /tmp/s6-overlay-noarch.tar.xz         /tmp/s6-overlay-noarch.tar.xz.sha256        /tmp/s6-overlay-${S6_ARCH}.tar.xz        /tmp/s6-overlay-${S6_ARCH}.tar.xz.sha256 # buildkit
                        
# 2025-02-18 07:40:25  247.63MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.31.6 S6_VERSION=v3.2.0.2 /bin/bash -c export DEBIAN_FRONTEND=noninteractive  && apt-get -yq update  && apt-get -yq install --no-install-recommends     apt-transport-https     bash     bzip2     ca-certificates     curl     git     gnupg     gnupg2     locales     lsb-release     nano     software-properties-common     tzdata     unzip     vim     wget     xz-utils     zip  && apt-get clean  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-02-18 07:40:25  0.00B 
SHELL [/bin/bash -c]
                        
# 2025-02-18 07:40:25  0.00B 定义构建参数
ARG S6_VERSION=v3.2.0.2
                        
# 2025-02-18 07:40:25  0.00B 定义构建参数
ARG KUBECTL_VERSION=v1.31.6
                        
# 2025-02-18 07:40:25  0.00B 设置环境变量 S6_BEHAVIOUR_IF_STAGE2_FAILS
ENV S6_BEHAVIOUR_IF_STAGE2_FAILS=2
                        
# 2025-02-18 07:40:25  0.00B 设置环境变量 S6_CMD_WAIT_FOR_SERVICES_MAXTIME
ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=300000
                        
# 2025-02-18 07:40:25  0.00B 设置环境变量 HOME_TMP
ENV HOME_TMP=/tmp_home/jovyan
                        
# 2025-02-18 07:40:25  0.00B 设置环境变量 USERS_GID
ENV USERS_GID=100
                        
# 2025-02-18 07:40:25  0.00B 设置环境变量 SHELL
ENV SHELL=/bin/bash
                        
# 2025-02-18 07:40:25  0.00B 设置环境变量 HOME
ENV HOME=/home/jovyan
                        
# 2025-02-18 07:40:25  0.00B 设置环境变量 NB_PREFIX
ENV NB_PREFIX=/
                        
# 2025-02-18 07:40:25  0.00B 设置环境变量 NB_GID
ENV NB_GID=0
                        
# 2025-02-18 07:40:25  0.00B 设置环境变量 NB_UID
ENV NB_UID=1000
                        
# 2025-02-18 07:40:25  0.00B 设置环境变量 NB_USER
ENV NB_USER=jovyan
                        
# 2025-02-18 07:40:25  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2025-01-26 13:31:11  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-01-26 13:31:10  77.86MB 
/bin/sh -c #(nop) ADD file:1b6c8c9518be42fa2afe5e241ca31677fce58d27cdfa88baa91a65a259be3637 in / 
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-01-26 13:31:07  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:07e0725f636701c5e053174bdb86e935e7dc1d028a59e8019a04e1fe8b43fb93",
    "RepoTags": [
        "kubeflownotebookswg/jupyter-pytorch-full:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-full:latest"
    ],
    "RepoDigests": [
        "kubeflownotebookswg/jupyter-pytorch-full@sha256:666d6f6ca1e953b51c5da8b0f9b505618198ede173ae18b594fa822d12eaa4f8",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-full@sha256:fabc31087d3b463200aa129551e8be97c214740b006328f092d3c89f5b6cda15"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-02-17T23:58:33.813206153Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "1000",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8888/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NB_USER=jovyan",
            "NB_UID=1000",
            "NB_GID=0",
            "NB_PREFIX=/",
            "HOME=/home/jovyan",
            "SHELL=/bin/bash",
            "USERS_GID=100",
            "HOME_TMP=/tmp_home/jovyan",
            "S6_CMD_WAIT_FOR_SERVICES_MAXTIME=300000",
            "S6_BEHAVIOUR_IF_STAGE2_FAILS=2",
            "LANG=en_US.UTF-8",
            "LANGUAGE=en_US.UTF-8",
            "LC_ALL=en_US.UTF-8",
            "CONDA_DIR=/opt/conda"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": [
            "/init"
        ],
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        },
        "Shell": [
            "/bin/bash",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 3608618874,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/220062f3326ebd65a4e83ca353c2421d0071e74c2aa24221a5f233eb4074be82/diff:/var/lib/docker/overlay2/06d381485c707e7e2c90efbf17d6dd0ca385f8f07cc4e76f9cfb74fd80da14c8/diff:/var/lib/docker/overlay2/64074614db6663605ebf391b4affea9a00973744e2e2e282f285e9b386c1b133/diff:/var/lib/docker/overlay2/ba16699444ecf72bf93b08b56fe6fb77576c98e5ed64f8e161567ce21c971625/diff:/var/lib/docker/overlay2/0e9a39a49474077539562535dcef21bc4912d2f4f521e63f0ded2ac1fb4e7697/diff:/var/lib/docker/overlay2/d40419f3b204d9dfdba00b9373bf3b42b6b03979569a3f8284397a42218a81ee/diff:/var/lib/docker/overlay2/5c74ec9ab50934d610adb0e7adb85eb378f659362b946b5d39376ac28df06ec8/diff:/var/lib/docker/overlay2/a160caf117cfb27b98851881cb742c7e6fb71b84e84a8f5f90d1dbf9b046fbd3/diff:/var/lib/docker/overlay2/7c68d47ef2390a55849668205d943262c4c2110af8ad03e5df23f8f3a222aa54/diff:/var/lib/docker/overlay2/1581f2ea49e635ea68a92aaaecbe65d374f688f003fe5f8f15ceb2b904684fb6/diff:/var/lib/docker/overlay2/bbd2d48e2263db9a7814edd8ce65426a5c101d82d672726352e2b8aea50fa83a/diff:/var/lib/docker/overlay2/fe9b47b89315c87a4761bc0461b5750ef5eb30fc42b039ba5b7ee8e6721ea87f/diff:/var/lib/docker/overlay2/5cd333d83c7e3633072da5d2f9b3f27f031cb2a250cda3b59c7a9be1d70656dd/diff:/var/lib/docker/overlay2/6f53051ffd8c24eb97961a1eeda9352cdea3ff4ba34006b525570650023dc3cb/diff:/var/lib/docker/overlay2/255aa637d4ea7dbf3f9ed478cf29be1da08e925166481d79656bee968bf5ee41/diff:/var/lib/docker/overlay2/5d625766b3fefe2e0c98687cc4e8049ac0b40195e6c3e317156001c14e2f6fbd/diff:/var/lib/docker/overlay2/cf910db56cfdfaf5177c4c850574f2e25aebc9f9ed494531e316eea99680b4f1/diff:/var/lib/docker/overlay2/b528f2d3d298dce082e7a409eb1ad2d387c83bbd5a472544c2e78d2759ad4aad/diff:/var/lib/docker/overlay2/c25516ed7916d563de0d72433d99fc18921480fed13bb917ae8c79d8d126f7ad/diff:/var/lib/docker/overlay2/f01e239720cecf6d55850944af57ef756f8e44ddad35b928e0e493aff96d87af/diff:/var/lib/docker/overlay2/1305a3aaf257d4938a55d56f9476a5d3f6d3c7dbc89a7e28b584dbb03482df95/diff:/var/lib/docker/overlay2/40c2c7ed7d448d15f4e575f3cff5b2d544ea51054f90ed3584d3204a7d461ff7/diff:/var/lib/docker/overlay2/ace3f972cf88bd330727fa9a25fd0df2c3fec1df161ac9102bf9f5739b40b82c/diff",
            "MergedDir": "/var/lib/docker/overlay2/c34cbc550915141c0eedb4c63e92b61821c66382b3c8388457cffb9ce9ebf0d2/merged",
            "UpperDir": "/var/lib/docker/overlay2/c34cbc550915141c0eedb4c63e92b61821c66382b3c8388457cffb9ce9ebf0d2/diff",
            "WorkDir": "/var/lib/docker/overlay2/c34cbc550915141c0eedb4c63e92b61821c66382b3c8388457cffb9ce9ebf0d2/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:270a1170e7e398434ff1b31e17e233f7d7b71aa99a40473615860068e86720af",
            "sha256:57b641bfe62eafbc2be056f8d5cfa8654a330b755f6f7d88641873db5524217b",
            "sha256:16f2db4946862bbccb0fac9819fed1cfdacb41614d4410255473740aef39ded0",
            "sha256:03928f66446076571060eafe1d5c4b7f0a52be048b929afae0a39e90fcc69d7f",
            "sha256:47d2675493147b4cc7c8d5690604b99e0cab450becd2853d3edb2af3eddbbefb",
            "sha256:cff8b2e05a361519af6733196e3e6ea4c1103db56b2b15adab225118991f1201",
            "sha256:b805272897615fe0d7a70ca5f29330de61fba65652689bc6c26e97b64d6bc34f",
            "sha256:c80521d540ea2052f6e9b5964feadd882272791c8e8bd06a55728710a489de98",
            "sha256:6e6ed05c52bf9a3997f49b303ae89d173ad8ecb7cb8451879d04a54db10ace8f",
            "sha256:2f54e9df00dda33c01fb9d71ad8d177e1d386ca969465f4e1628c86c2a9f522a",
            "sha256:ba452368ce1c130e5027a2b970f233d91752dd9f9f39417b6c5558d825773d2b",
            "sha256:7b33b9d0ae7ac5fee99c7c591af7405b234fa241876581a5d30cca5f309dcf7e",
            "sha256:5f42f08a8d7a627ad8f217a54e25f2823a399720460543834bef5cc1ebfe5120",
            "sha256:e375bd089901305a94afc5cd35205e71dd78761f586813aef188a357d13887d8",
            "sha256:714656b5a0aaf66084d7054ddcd49ca8c534e88d5f361fe2d6b80061d3ce1350",
            "sha256:ed2443e7291e40d985298fb697a9abf8a02430b68acf744f180f66ec017830e7",
            "sha256:cc39905d56cc44a5d28c951e792457c25cb0d1da25021e35cb14c031f1d0a038",
            "sha256:47921d71e2641a4ad27dd15759f4a1c97678cec68edeaab22418d1672fa2787e",
            "sha256:97fc7793e48b5f851c8cc23766efeb3aa7899fcdfdc3e16ca6f7461be90b0936",
            "sha256:823d34ff7bfa66723c5bf5d28ef075c11281576da318e0ab10afd502660c41a2",
            "sha256:197603653f1b61572db0ebbaaea3671debb6cc4f24b6325200bf7d3ad7f1fc72",
            "sha256:fa2cfe9bbf3ca46a21329f5d6c9ce2313ac179b5b4811b816518f6e57492928b",
            "sha256:0a1be9bd94982fdbc8763466f3b341beb42845c06a8aa4d716a184b3d755ab07",
            "sha256:6504aed7ca6c003ac3724443f608a0e6087ebf18732a59f92dd12b2f9e0f8c32"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-02-23T20:10:51.054348954+08:00"
    }
}