镜像构建历史
# 2026-04-02 16:33:54 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/usr/local/bin/entrypoint.sh"]
# 2026-04-02 16:33:54 4.69KB 执行命令并创建新的镜像层
RUN |3 USER_UID=1000 USER_GID=1000 USERNAME=ubuntu /bin/sh -c echo '#!/bin/sh' >> ${HOME}/.docker_whale && echo 'colorred="\033[31m"' >> ${HOME}/.docker_whale && echo 'colorpowder_blue="\033[1;36m"' >> ${HOME}/.docker_whale && echo 'colorblue="\033[34m"' >> ${HOME}/.docker_whale && echo 'colornormal="\033[0m"' >> ${HOME}/.docker_whale && echo 'colorwhite="\033[97m"' >> ${HOME}/.docker_whale && echo 'colorlightgrey="\033[90m"' >> ${HOME}/.docker_whale && echo '' >> ${HOME}/.docker_whale && echo 'printf " ${colorred} ## ${colorlightgrey} . \n"' >> ${HOME}/.docker_whale && echo 'printf " ${colorred} ## ## ## ${colorlightgrey} == \n"' >> ${HOME}/.docker_whale && echo 'printf " ${colorred}## ## ## ## ${colorlightgrey}=== \n"' >> ${HOME}/.docker_whale && echo 'printf " /\"\"\"\"\"\"\"\"\"\"\"\"\"\"\\\___/ === \n"' >> ${HOME}/.docker_whale && echo 'printf " ${colorblue}~~~ ${colorlightgrey}{${colorblue}~~ ~~~~ ~~~ ~~~~ ~~ ~ ${colorlightgrey}/ ===- ${colorblue}~~~${colorlightgrey}\n"' >> ${HOME}/.docker_whale && echo 'printf " \\\______${colorwhite} o ${colorlightgrey} __/ \n"' >> ${HOME}/.docker_whale && echo 'printf " \\\ \\\ __/ \n"' >> ${HOME}/.docker_whale && echo 'printf " \\\____\\\______/ \n"' >> ${HOME}/.docker_whale && echo 'printf "\n${colorwhite}Welcome to LichtFeld-Studio dev container!${colornormal}\n"' >> ${HOME}/.docker_whale && echo "bash \$HOME/.docker_whale" >> ${HOME}/.bashrc # buildkit
# 2026-04-02 16:33:54 161.15MB 执行命令并创建新的镜像层
RUN |3 USER_UID=1000 USER_GID=1000 USERNAME=ubuntu /bin/sh -c wget https://github.com/Kitware/CMake/releases/download/v4.0.3/cmake-4.0.3-linux-x86_64.sh && chmod +x cmake-4.0.3-linux-x86_64.sh && sudo ./cmake-4.0.3-linux-x86_64.sh --skip-license --prefix=/usr/local && rm cmake-4.0.3-linux-x86_64.sh # buildkit
# 2026-04-02 16:33:51 3.83KB 执行命令并创建新的镜像层
RUN |3 USER_UID=1000 USER_GID=1000 USERNAME=ubuntu /bin/sh -c echo 'export VCPKG_ROOT=$HOME/vcpkg' >> $HOME/.bashrc && echo 'export PATH=$VCPKG_ROOT:$PATH' >> $HOME/.bashrc # buildkit
# 2026-04-02 16:33:51 142.69MB 执行命令并创建新的镜像层
RUN |3 USER_UID=1000 USER_GID=1000 USERNAME=ubuntu /bin/sh -c git clone https://github.com/microsoft/vcpkg.git ${HOME}/vcpkg && cd ${HOME}/vcpkg && ./bootstrap-vcpkg.sh -disableMetrics # buildkit
# 2026-04-02 16:33:39 0.00B 指定运行容器时使用的用户
USER ubuntu
# 2026-04-02 16:33:39 0.00B 设置工作目录为/home/ubuntu
WORKDIR /home/ubuntu
# 2026-04-02 16:33:39 0.00B 设置环境变量 HOME
ENV HOME=/home/ubuntu
# 2026-04-02 16:33:39 0.00B 设置环境变量 USER
ENV USER=ubuntu
# 2026-04-02 16:33:39 334.75KB 执行命令并创建新的镜像层
RUN |3 USER_UID=1000 USER_GID=1000 USERNAME=ubuntu /bin/sh -c set -eux; EXISTING_USER_BY_UID=$(getent passwd "${USER_UID}" | cut -d: -f1 || true); if [ -n "$EXISTING_USER_BY_UID" ]; then userdel -r "$EXISTING_USER_BY_UID" || true; fi; if id "${USERNAME}" >/dev/null 2>&1; then userdel -r "${USERNAME}" || true; fi; if getent group "${USER_GID}" >/dev/null; then groupdel "$(getent group "${USER_GID}" | cut -d: -f1)"; fi; if getent group "${USERNAME}" >/dev/null; then groupdel "${USERNAME}"; fi; groupadd --gid "${USER_GID}" "${USERNAME}"; useradd -m -u "${USER_UID}" -g "${USER_GID}" "${USERNAME}"; usermod -aG sudo "${USERNAME}"; echo "${USERNAME} ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers # buildkit
# 2026-04-02 16:33:39 0.00B 定义构建参数
ARG USERNAME=ubuntu
# 2026-04-02 16:33:39 0.00B 定义构建参数
ARG USER_GID=1000
# 2026-04-02 16:33:39 0.00B 定义构建参数
ARG USER_UID=1000
# 2026-04-02 16:33:39 0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /usr/local/bin/entrypoint.sh # buildkit
# 2026-04-02 16:33:39 208.00B 复制新文件或目录到容器中
COPY lichtfeld-studio-docker/entrypoint.sh /usr/local/bin/entrypoint.sh # buildkit
# 2026-04-02 16:33:39 1.04GB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends build-essential curl git ca-certificates gnupg2 lsb-release locales python3 python3-pip python3-full python3-dev sudo x11-apps zenity openssh-client wget unzip pkg-config zip libxinerama-dev libxcursor-dev xorg-dev libglu1-mesa-dev vim nano htop ninja-build nasm autoconf autoconf-archive automake libtool software-properties-common && add-apt-repository ppa:ubuntu-toolchain-r/test && apt-get update && apt-get install -y gcc-14 g++-14 gfortran-14 && update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-14 60 && update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-14 60 && update-alternatives --install /usr/bin/gfortran gfortran /usr/bin/gfortran-14 60 && update-alternatives --set gcc /usr/bin/gcc-14 && update-alternatives --set g++ /usr/bin/g++-14 && update-alternatives --set gfortran /usr/bin/gfortran-14 && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-04-02 16:33:39 0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
# 2025-01-25 09:17:40 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2025-01-25 09:17:40 389.49KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2025-01-25 09:17:39 5.96GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-8=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-8=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-8=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-8=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-8=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-8=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-01-25 09:17:39 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-01-25 09:17:39 0.00B 定义构建参数
ARG TARGETARCH
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.25.1-1+cuda12.8
# 2025-01-25 09:17:39 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.25.1-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-8=12.8.57-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.8.57-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-8=12.8.0-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.8.0-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-8=12.8.3.14-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-8
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.8.3.14-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-8=12.3.3.65-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.3.3.65-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.5.7.53-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.8.55-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.8.57-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.0-1
# 2025-01-27 07:06:37 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2025-01-27 07:06:37 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2025-01-27 07:06:37 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2025-01-27 07:06:37 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2025-01-27 07:06:37 263.00KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2025-01-27 07:06:37 3.13GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-8=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-8=${NV_NVTX_VERSION} libcusparse-12-8=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-01-27 07:06:37 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-01-27 07:06:37 0.00B 定义构建参数
ARG TARGETARCH
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8
# 2025-01-27 07:06:37 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.3.14-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.8.3.14-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.7.53-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.65-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.3.65-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.8.55-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.0-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2025-01-27 07:06:37 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2025-01-27 07:06:37 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2025-01-27 07:06:37 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2025-01-27 07:06:37 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2025-01-27 07:06:37 46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
# 2025-01-27 07:06:37 203.16MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-8=${NV_CUDA_CUDART_VERSION} cuda-compat-12-8 && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-01-27 07:06:37 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.8.0
# 2025-01-27 07:06:37 10.60MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb && dpkg -i cuda-keyring_1.1-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-01-27 07:06:37 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-01-27 07:06:37 0.00B 定义构建参数
ARG TARGETARCH
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.8.57-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566
# 2025-01-27 07:06:37 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2024-09-12 00:25:18 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2024-09-12 00:25:17 77.86MB
/bin/sh -c #(nop) ADD file:ebe009f86035c175ba244badd298a2582914415cf62783d510eab3a311a5d4e1 in /
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:10c92f683f23018d8233f0b552af8f9c6d20a643682ea094c6fa76364334558c",
"RepoTags": [
"plasmax7/lichtfeld-studio:0d953894c3ad17ba72d721f711e5c957ca32f4c9",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/plasmax7/lichtfeld-studio:0d953894c3ad17ba72d721f711e5c957ca32f4c9"
],
"RepoDigests": [
"plasmax7/lichtfeld-studio@sha256:90a97775c0d0db2a8cb00798be245f53b2c6551da4267e56781c68d80dcdbae3",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/plasmax7/lichtfeld-studio@sha256:879fa459789d7ab29ebe8c8b3a335fced265fe8ab3245bf9c3075ee96b869505"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2026-04-02T08:33:54.455121146Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "ubuntu",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
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