docker.io/dfkozlov/vectorbt-full:latest linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dfkozlov/vectorbt-full:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dfkozlov/vectorbt-full:latest  docker.io/dfkozlov/vectorbt-full:latest

Containerd拉取命令

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

Shell快速替换命令

sed -i 's#dfkozlov/vectorbt-full:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dfkozlov/vectorbt-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/dfkozlov/vectorbt-full:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dfkozlov/vectorbt-full:latest  docker.io/dfkozlov/vectorbt-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/dfkozlov/vectorbt-full:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dfkozlov/vectorbt-full:latest  docker.io/dfkozlov/vectorbt-full:latest'

镜像构建历史

# 2023-07-07 21:53:22  0.00B 
/bin/bash -o pipefail -c #(nop)  ENV JUPYTER_ENABLE_LAB=yes
                        
# 2023-07-07 21:53:22  0.00B 
/bin/bash -o pipefail -c #(nop) WORKDIR /home/jovyan/work
                        
# 2023-07-07 21:53:22  3.12MB 
|2 FULL=yes TEST=true /bin/bash -o pipefail -c if [[ -n "${TEST}" ]] ; then     pip install --no-cache-dir pytest &&     export NUMBA_BOUNDSCHECK=1 &&     export NUMBA_DISABLE_JIT=1 &&     python -m pytest -p no:cacheprovider -k 'not test_value_counts' tests ; fi
                        
# 2023-07-07 21:52:32  0.00B 
/bin/bash -o pipefail -c #(nop)  ARG TEST
                        
# 2023-07-07 21:52:31  0.00B 
/bin/bash -o pipefail -c #(nop)  USER 1000
                        
# 2023-07-07 21:52:31  128.13MB 
|1 FULL=yes /bin/bash -o pipefail -c scripts/install-labextensions.sh &&     jupyter lab clean &&     npm cache clean --force &&     rm -rf /home/$NB_USER/.cache/yarn &&     rm -rf $CONDA_DIR/share/jupyter/lab/staging
                        
# 2023-07-07 21:51:27  236.28MB 
|1 FULL=yes /bin/bash -o pipefail -c pip install       python-telegram-bot==13.15     pip install -U       kaleido       jinja2
                        
# 2023-07-07 21:51:09  528.28MB 
|1 FULL=yes /bin/bash -o pipefail -c if [[ -n "${FULL}" ]] ; then     curl -O https://netcologne.dl.sourceforge.net/project/ta-lib/ta-lib/0.4.0/ta-lib-0.4.0-src.tar.gz &&     tar -xzf ta-lib-0.4.0-src.tar.gz &&     cd ta-lib/ &&     ./configure --prefix=/usr &&     make &&     sudo make install &&     cd .. &&     rm -rf ta-lib &&     rm ta-lib-0.4.0-src.tar.gz &&     pip install --no-cache-dir .[full] ; else     pip install --no-cache-dir . ; fi
                        
# 2023-07-07 21:49:06  0.00B 
|1 FULL=yes /bin/bash -o pipefail -c pip install --upgrade pip
                        
# 2023-07-07 21:49:04  0.00B 
/bin/bash -o pipefail -c #(nop)  ARG FULL=yes
                        
# 2023-07-07 21:49:04  675.00B 
/bin/bash -o pipefail -c chmod -R +x scripts
                        
# 2023-07-07 21:49:04  0.00B 
/bin/bash -o pipefail -c #(nop) WORKDIR /tmp/vectorbt
                        
# 2023-07-07 21:49:04  2.50KB 
/bin/bash -o pipefail -c #(nop) COPY file:05f3b24b634f128c384a3c17468eb6d6d85a4e506b2da030a7922303d9e42d33 in vectorbt/setup.py 
                        
# 2023-07-06 20:32:28  106.80MB 
/bin/bash -o pipefail -c #(nop) COPY dir:7ef2080ead8d54d563ee382fa1d18eab459e5a8a92456ac513fd540477a24b70 in vectorbt 
                        
# 2023-07-06 20:32:28  3.54MB 
/bin/bash -o pipefail -c apt-get update &&  apt-get install -yq --no-install-recommends curl &&  apt-get clean &&  rm -rf /var/lib/apt/lists/*
                        
# 2023-07-06 20:32:20  0.00B 
/bin/bash -o pipefail -c #(nop) WORKDIR /tmp
                        
# 2023-07-06 20:32:20  0.00B 
/bin/bash -o pipefail -c #(nop)  USER root
                        
# 2023-05-30 20:30:09  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2023-05-30 20:30:09  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-05-30 20:30:09  77.53KB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c MPLBACKEND=Agg python -c "import matplotlib.pyplot" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-05-30 20:30:07  0.00B 设置环境变量 XDG_CACHE_HOME
ENV XDG_CACHE_HOME=/home/jovyan/.cache/
                        
# 2023-05-30 20:30:07  2.31MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c git clone https://github.com/PAIR-code/facets.git &&     jupyter nbextension install facets/facets-dist/ --sys-prefix &&     rm -rf /tmp/facets &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-05-30 20:30:03  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2023-05-30 20:30:03  1.71GB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c mamba install --yes     'altair'     'beautifulsoup4'     'bokeh'     'bottleneck'     'cloudpickle'     'conda-forge::blas=*=openblas'     'cython'     'dask'     'dill'     'h5py'     'ipympl'    'ipywidgets'     'jupyterlab-git'     'matplotlib-base'     'numba'     'numexpr'     'openpyxl'     'pandas'     'patsy'     'protobuf'     'pytables'     'scikit-image'     'scikit-learn'     'scipy'     'seaborn'     'sqlalchemy'     'statsmodels'     'sympy'     'widgetsnbextension'    'xlrd' &&     mamba clean --all -f -y &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-05-30 20:12:25  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-05-30 20:12:25  652.29MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c apt-get update --yes &&     apt-get install --yes --no-install-recommends     build-essential     cm-super     dvipng     ffmpeg &&     apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-05-30 20:12:25  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-05-30 20:12:25  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-05-30 20:12:25  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-05-30 20:04:34  292.00B 复制新文件或目录到容器中
COPY Rprofile.site /opt/conda/lib/R/etc/ # buildkit
                        
# 2023-05-30 20:04:34  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-05-30 20:04:34  10.75KB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c update-alternatives --install /usr/bin/nano nano /bin/nano-tiny 10 # buildkit
                        
# 2023-05-30 20:04:33  493.55MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c apt-get update --yes &&     apt-get install --yes --no-install-recommends     git     nano-tiny     tzdata     unzip     vim-tiny     openssh-client     less     texlive-xetex     texlive-fonts-recommended     texlive-plain-generic     xclip &&     apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-05-30 20:04:33  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-05-30 20:04:33  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-05-30 20:04:33  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-05-30 19:57:03  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2023-05-30 19:57:03  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-05-30 19:57:03  0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "/etc/jupyter/docker_healthcheck.py || exit 1"] "5s" "3s" "5s" '\x03'}
                        
# 2023-05-30 19:57:03  4.28KB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c sed -re "s/c.ServerApp/c.NotebookApp/g"     /etc/jupyter/jupyter_server_config.py > /etc/jupyter/jupyter_notebook_config.py &&     fix-permissions /etc/jupyter/ # buildkit
                        
# 2023-05-30 19:57:03  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-05-30 19:57:03  2.47KB 复制新文件或目录到容器中
COPY jupyter_server_config.py docker_healthcheck.py /etc/jupyter/ # buildkit
                        
# 2023-05-30 19:57:03  1.04KB 复制新文件或目录到容器中
COPY start-notebook.sh start-singleuser.sh /usr/local/bin/ # buildkit
                        
# 2023-05-30 19:57:03  0.00B 设置默认要执行的命令
CMD ["start-notebook.sh"]
                        
# 2023-05-30 19:57:03  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2023-05-30 19:57:03  0.00B 设置环境变量 JUPYTER_PORT
ENV JUPYTER_PORT=8888
                        
# 2023-05-30 19:57:03  460.73MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c mamba install --yes     'nodejs>=18.0'     'notebook'     'jupyterhub'     'jupyterlab' &&     echo 'nodejs >=18.0' >> "${CONDA_DIR}/conda-meta/pinned" &&     jupyter notebook --generate-config &&     mamba clean --all -f -y &&     npm cache clean --force &&     jupyter lab clean &&     rm -rf "/home/${NB_USER}/.cache/yarn" &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-05-30 19:55:57  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2023-05-30 19:55:57  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-05-30 19:55:57  158.44MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c apt-get update --yes &&     apt-get install --yes --no-install-recommends     fonts-liberation     pandoc     run-one &&     apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-05-30 19:55:57  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-05-30 19:55:57  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-05-30 19:55:57  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-05-30 19:53:44  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2023-05-30 19:53:44  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-05-30 19:53:44  12.18KB 复制新文件或目录到容器中
COPY start.sh /usr/local/bin/ # buildkit
                        
# 2023-05-30 19:53:44  0.00B 设置默认要执行的命令
CMD ["start.sh"]
                        
# 2023-05-30 19:53:44  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["tini" "-g" "--"]
                        
# 2023-05-30 19:53:44  251.12MB 执行命令并创建新的镜像层
RUN |4 NB_USER=jovyan NB_UID=1000 NB_GID=100 PYTHON_VERSION=3.10 /bin/bash -o pipefail -c set -x &&     arch=$(uname -m) &&     if [ "${arch}" = "x86_64" ]; then         arch="64";     fi &&     wget -qO /tmp/micromamba.tar.bz2         "https://micromamba.snakepit.net/api/micromamba/linux-${arch}/latest" &&     tar -xvjf /tmp/micromamba.tar.bz2 --strip-components=1 bin/micromamba &&     rm /tmp/micromamba.tar.bz2 &&     PYTHON_SPECIFIER="python=${PYTHON_VERSION}" &&     if [[ "${PYTHON_VERSION}" == "default" ]]; then PYTHON_SPECIFIER="python"; fi &&     ./micromamba install         --root-prefix="${CONDA_DIR}"         --prefix="${CONDA_DIR}"         --yes         "${PYTHON_SPECIFIER}"         'mamba'         'jupyter_core' &&     rm micromamba &&     mamba list python | grep '^python ' | tr -s ' ' | cut -d ' ' -f 1,2 >> "${CONDA_DIR}/conda-meta/pinned" &&     mamba clean --all -f -y &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-05-30 19:52:39  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2023-05-30 19:52:39  163.00B 复制新文件或目录到容器中
COPY initial-condarc /opt/conda/.condarc # buildkit
                        
# 2023-05-30 19:52:39  0.00B 执行命令并创建新的镜像层
RUN |4 NB_USER=jovyan NB_UID=1000 NB_GID=100 PYTHON_VERSION=3.10 /bin/bash -o pipefail -c mkdir "/home/${NB_USER}/work" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-05-30 19:52:39  0.00B 定义构建参数
ARG PYTHON_VERSION=3.10
                        
# 2023-05-30 19:52:39  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-05-30 19:52:39  13.44KB 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c echo "auth requisite pam_deny.so" >> /etc/pam.d/su &&     sed -i.bak -e 's/^%admin/#%admin/' /etc/sudoers &&     sed -i.bak -e 's/^%sudo/#%sudo/' /etc/sudoers &&     useradd -l -m -s /bin/bash -N -u "${NB_UID}" "${NB_USER}" &&     mkdir -p "${CONDA_DIR}" &&     chown "${NB_USER}:${NB_GID}" "${CONDA_DIR}" &&     chmod g+w /etc/passwd &&     fix-permissions "${HOME}" &&     fix-permissions "${CONDA_DIR}" # buildkit
                        
# 2023-05-30 19:52:38  3.82KB 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c sed -i 's/^#force_color_prompt=yes/force_color_prompt=yes/' /etc/skel/.bashrc &&    echo 'eval "$(command conda shell.bash hook 2> /dev/null)"' >> /etc/skel/.bashrc # buildkit
                        
# 2023-05-30 19:52:38  0.00B 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c chmod a+rx /usr/local/bin/fix-permissions # buildkit
                        
# 2023-05-30 19:52:38  1.04KB 复制新文件或目录到容器中
COPY fix-permissions /usr/local/bin/fix-permissions # buildkit
                        
# 2023-05-30 19:52:38  0.00B 设置环境变量 PATH HOME
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin HOME=/home/jovyan
                        
# 2023-05-30 19:52:38  0.00B 设置环境变量 CONDA_DIR SHELL NB_USER NB_UID NB_GID LC_ALL LANG LANGUAGE
ENV CONDA_DIR=/opt/conda SHELL=/bin/bash NB_USER=jovyan NB_UID=1000 NB_GID=100 LC_ALL=en_US.UTF-8 LANG=en_US.UTF-8 LANGUAGE=en_US.UTF-8
                        
# 2023-05-30 19:52:38  30.03MB 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c apt-get update --yes &&     apt-get upgrade --yes &&     apt-get install --yes --no-install-recommends     bzip2     ca-certificates     locales     sudo     tini     wget &&     apt-get clean && rm -rf /var/lib/apt/lists/* &&     echo "en_US.UTF-8 UTF-8" > /etc/locale.gen &&     locale-gen # buildkit
                        
# 2023-05-30 19:52:38  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2023-05-30 19:52:38  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-05-30 19:52:38  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-05-30 19:52:38  0.00B 定义构建参数
ARG NB_GID=100
                        
# 2023-05-30 19:52:38  0.00B 定义构建参数
ARG NB_UID=1000
                        
# 2023-05-30 19:52:38  0.00B 定义构建参数
ARG NB_USER=jovyan
                        
# 2023-05-30 19:52:38  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-04-26 01:30:49  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-04-26 01:30:49  77.81MB 
/bin/sh -c #(nop) ADD file:2fc6364d149eccc7f94ead482a0dcf24b0e44cc0d00ac6a2c1797776153e9608 in / 
                        
# 2023-04-26 01:30:47  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-04-26 01:30:47  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-04-26 01:30:47  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-04-26 01:30:47  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:51e5df78917c6aea65547a848689814da6a5d1b56a54996571bdea11b51f0e9d",
    "RepoTags": [
        "dfkozlov/vectorbt-full:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dfkozlov/vectorbt-full:latest"
    ],
    "RepoDigests": [
        "dfkozlov/vectorbt-full@sha256:3b0ed8b2fcd2f3c7e1d0e1b9fbec56c01590105d1ed3cda9861c5c40b31ac9f2",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/dfkozlov/vectorbt-full@sha256:09f9eed12fa6cd753507c689f27823d8c09573495716a7723925e4c67702d578"
    ],
    "Parent": "",
    "Comment": "",
    "Created": "2023-07-07T13:53:22.413190341Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "20.10.21",
    "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",
            "DEBIAN_FRONTEND=noninteractive",
            "CONDA_DIR=/opt/conda",
            "SHELL=/bin/bash",
            "NB_USER=jovyan",
            "NB_UID=1000",
            "NB_GID=100",
            "LC_ALL=en_US.UTF-8",
            "LANG=en_US.UTF-8",
            "LANGUAGE=en_US.UTF-8",
            "HOME=/home/jovyan",
            "JUPYTER_PORT=8888",
            "XDG_CACHE_HOME=/home/jovyan/.cache/",
            "JUPYTER_ENABLE_LAB=yes"
        ],
        "Cmd": [
            "start-notebook.sh"
        ],
        "Healthcheck": {
            "Test": [
                "CMD-SHELL",
                "/etc/jupyter/docker_healthcheck.py || exit 1"
            ],
            "Interval": 5000000000,
            "Timeout": 3000000000,
            "StartPeriod": 5000000000,
            "Retries": 3
        },
        "ArgsEscaped": true,
        "Image": "sha256:a8012ae98873531249dff26376356800fdc58467f85e057c79e9aa7abf3ad73c",
        "Volumes": null,
        "WorkingDir": "/home/jovyan/work",
        "Entrypoint": [
            "tini",
            "-g",
            "--"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "Jupyter Project \u003cjupyter@googlegroups.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        },
        "Shell": [
            "/bin/bash",
            "-o",
            "pipefail",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 4844709794,
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