docker.io/pyqlib/qlib_image_stable:stable linux/amd64

docker.io/pyqlib/qlib_image_stable:stable - 国内下载镜像源 浏览次数:14
源镜像 docker.io/pyqlib/qlib_image_stable:stable
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pyqlib/qlib_image_stable:stable
镜像ID sha256:434790f86f4825aa40729c4372c151ae5bee8b67230b5dff06cb73f9a72223b3
镜像TAG stable
大小 2.35GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash
启动入口
工作目录 /qlib
OS/平台 linux/amd64
浏览量 14 次
贡献者 sd***l@163.com
镜像创建 2024-11-12T10:15:23.296282555Z
同步时间 2025-08-28 15:31
更新时间 2025-08-29 13:09
环境变量
PATH=/opt/conda/envs/qlib_env/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LANG=C.UTF-8 LC_ALL=C.UTF-8
镜像标签
Anaconda, Inc: maintainer 2024-05-29T18:01:54.881Z: org.opencontainers.image.created Repository of Docker images created by Anaconda: org.opencontainers.image.description : org.opencontainers.image.licenses e8d1f07cde5d564e9e777b61bbcadce3bb000cfe: org.opencontainers.image.revision https://github.com/ContinuumIO/docker-images: org.opencontainers.image.source docker-images: org.opencontainers.image.title https://github.com/ContinuumIO/docker-images: org.opencontainers.image.url 24.4.0-0: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pyqlib/qlib_image_stable:stable
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pyqlib/qlib_image_stable:stable  docker.io/pyqlib/qlib_image_stable:stable

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pyqlib/qlib_image_stable:stable
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pyqlib/qlib_image_stable:stable  docker.io/pyqlib/qlib_image_stable:stable

Shell快速替换命令

sed -i 's#pyqlib/qlib_image_stable:stable#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pyqlib/qlib_image_stable:stable#' 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/pyqlib/qlib_image_stable:stable && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pyqlib/qlib_image_stable:stable  docker.io/pyqlib/qlib_image_stable:stable'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pyqlib/qlib_image_stable:stable && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pyqlib/qlib_image_stable:stable  docker.io/pyqlib/qlib_image_stable:stable'

镜像构建历史


# 2024-11-12 18:15:23  337.62MB 
|1 INSTALL_OPTION=yes /bin/sh -c if [ "$INSTALL_OPTION" = "yes" ]; then         python -m pip install pyqlib;     else         python setup.py install;     fi
                        
# 2024-11-12 18:13:15  0.00B 
/bin/sh -c #(nop)  ARG INSTALL_OPTION=yes
                        
# 2024-11-12 18:13:11  73.95MB 
/bin/sh -c python -m pip install pybind11 cvxpy
                        
# 2024-11-12 18:12:51  218.89MB 
/bin/sh -c python -m pip install cython packaging tables matplotlib statsmodels
                        
# 2024-11-12 18:12:12  212.94MB 
/bin/sh -c python -m pip install scikit-learn==1.3.2
                        
# 2024-11-12 18:11:46  175.28KB 
/bin/sh -c python -m pip install "cloudpickle<3"
                        
# 2024-11-12 18:11:38  249.43KB 
/bin/sh -c python -m pip install importlib-metadata==5.2.0
                        
# 2024-11-12 18:11:29  71.55MB 
/bin/sh -c python -m pip install pandas==1.5.3
                        
# 2024-11-12 18:11:10  84.83MB 
/bin/sh -c python -m pip install numpy==1.23.5
                        
# 2024-11-12 18:10:56  11.25MB 
/bin/sh -c python -m pip install --upgrade pip
                        
# 2024-11-12 18:10:45  0.00B 
/bin/sh -c #(nop)  ENV PATH=/opt/conda/envs/qlib_env/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-11-12 18:10:41  651.00B 
/bin/sh -c echo "conda activate qlib_env" >> ~/.bashrc
                        
# 2024-11-12 18:10:35  392.32MB 
/bin/sh -c conda create --name qlib_env python=3.8 -y
                        
# 2024-11-12 18:09:59  329.57MB 
/bin/sh -c apt-get update &&     apt-get install -y build-essential
                        
# 2024-11-12 18:07:50  8.08MB 
/bin/sh -c #(nop) COPY dir:237e251e875f332328407cc7ddc97f4eae38e3e3ca1a8e61679ba2a4e055fd4a in . 
                        
# 2024-06-26 13:16:43  0.00B 
/bin/sh -c #(nop) WORKDIR /qlib
                        
# 2024-05-30 02:02:30  353.72MB 执行命令并创建新的镜像层
RUN |6 INSTALLER_URL_LINUX64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.4.0-0-Linux-x86_64.sh SHA256SUM_LINUX64=b6597785e6b071f1ca69cf7be6d0161015b96340b9a9e132215d5713408c3a7c INSTALLER_URL_S390X=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.4.0-0-Linux-s390x.sh SHA256SUM_S390X=e973f1b6352d58b1ab35f30424f1565d7ffa469dcde2d52c86ec1c117db11aad INSTALLER_URL_AARCH64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.4.0-0-Linux-aarch64.sh SHA256SUM_AARCH64=832d48e11e444c1a25f320fccdd0f0fabefec63c1cd801e606836e1c9c76ad51 /bin/sh -c set -x &&     UNAME_M="$(uname -m)" &&     if [ "${UNAME_M}" = "x86_64" ]; then         INSTALLER_URL="${INSTALLER_URL_LINUX64}";         SHA256SUM="${SHA256SUM_LINUX64}";     elif [ "${UNAME_M}" = "s390x" ]; then         INSTALLER_URL="${INSTALLER_URL_S390X}";         SHA256SUM="${SHA256SUM_S390X}";     elif [ "${UNAME_M}" = "aarch64" ]; then         INSTALLER_URL="${INSTALLER_URL_AARCH64}";         SHA256SUM="${SHA256SUM_AARCH64}";     fi &&     wget "${INSTALLER_URL}" -O miniconda.sh -q &&     echo "${SHA256SUM} miniconda.sh" > shasum &&     sha256sum --check --status shasum &&     mkdir -p /opt &&     bash miniconda.sh -b -p /opt/conda &&     rm miniconda.sh shasum &&     ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh &&     echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc &&     echo "conda activate base" >> ~/.bashrc &&     find /opt/conda/ -follow -type f -name '*.a' -delete &&     find /opt/conda/ -follow -type f -name '*.js.map' -delete &&     /opt/conda/bin/conda clean -afy # buildkit
                        
# 2024-05-30 02:02:15  0.00B 定义构建参数
ARG SHA256SUM_AARCH64=832d48e11e444c1a25f320fccdd0f0fabefec63c1cd801e606836e1c9c76ad51
                        
# 2024-05-30 02:02:15  0.00B 定义构建参数
ARG INSTALLER_URL_AARCH64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.4.0-0-Linux-aarch64.sh
                        
# 2024-05-30 02:02:15  0.00B 定义构建参数
ARG SHA256SUM_S390X=e973f1b6352d58b1ab35f30424f1565d7ffa469dcde2d52c86ec1c117db11aad
                        
# 2024-05-30 02:02:15  0.00B 定义构建参数
ARG INSTALLER_URL_S390X=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.4.0-0-Linux-s390x.sh
                        
# 2024-05-30 02:02:15  0.00B 定义构建参数
ARG SHA256SUM_LINUX64=b6597785e6b071f1ca69cf7be6d0161015b96340b9a9e132215d5713408c3a7c
                        
# 2024-05-30 02:02:15  0.00B 定义构建参数
ARG INSTALLER_URL_LINUX64=https://repo.anaconda.com/miniconda/Miniconda3-py312_24.4.0-0-Linux-x86_64.sh
                        
# 2024-05-30 02:02:15  0.00B 设置默认要执行的命令
CMD ["/bin/bash"]
                        
# 2024-05-30 02:02:15  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
                        
# 2024-05-30 02:02:15  176.26MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update -q &&     apt-get install -q -y --no-install-recommends         bzip2         ca-certificates         git         libglib2.0-0         libsm6         libxext6         libxrender1         mercurial         openssh-client         procps         subversion         wget     && apt-get clean     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-05-30 02:02:15  0.00B 设置环境变量 LANG LC_ALL
ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
                        
# 2024-05-30 02:02:15  0.00B 添加元数据标签
LABEL maintainer=Anaconda, Inc
                        
# 2024-05-14 09:28:04  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2024-05-14 09:28:03  74.83MB 
/bin/sh -c #(nop) ADD file:5aaace706aa00ff97d243daa2c29f5de88f124e1b97c570634f16eef90783286 in / 
                        
                    

镜像信息

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更多版本

docker.io/pyqlib/qlib_image_stable:stable

linux/amd64 docker.io2.35GB2025-08-28 15:31
13