PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
NVARCH=x86_64
NVIDIA_REQUIRE_CUDA=cuda>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
NV_CUDA_CUDART_VERSION=12.4.127-1
NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
CUDA_VERSION=12.4.1
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NVIDIA_VISIBLE_DEVICES=all
NVIDIA_DRIVER_CAPABILITIES=compute,utility
NV_CUDA_LIB_VERSION=12.4.1-1
NV_NVTX_VERSION=12.4.127-1
NV_LIBNPP_VERSION=12.2.5.30-1
NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1
NV_LIBCUSPARSE_VERSION=12.3.1.170-1
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
NV_LIBCUBLAS_VERSION=12.4.5.8-1
NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1
NV_LIBNCCL_PACKAGE_NAME=libnccl2
NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1
NCCL_VERSION=2.21.5-1
NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4
NVIDIA_PRODUCT_NAME=CUDA
NV_CUDA_CUDART_DEV_VERSION=12.4.127-1
NV_NVML_DEV_VERSION=12.4.127-1
NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1
NV_LIBNPP_DEV_VERSION=12.2.5.30-1
NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1
NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1
NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4
NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1
NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1
NV_NVPROF_VERSION=12.4.127-1
NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1
NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1
NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4
LIBRARY_PATH=/usr/local/cuda/lib64/stubs
DEBIAN_FRONTEND=interactive
镜像构建历史
# 2024-12-06 22:13:07 0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=interactive
# 2024-12-06 22:13:07 0.00B 执行命令并创建新的镜像层
RUN |2 BUILD_TYPE=all CUDA_VERSION=12.4.1 /bin/sh -c python3 -m pip cache purge # buildkit
# 2024-12-06 22:13:06 9.05GB 执行命令并创建新的镜像层
RUN |2 BUILD_TYPE=all CUDA_VERSION=12.4.1 /bin/sh -c python3 -m pip install --upgrade pip setuptools wheel html5lib six && git clone --depth=1 https://github.com/sgl-project/sglang.git && cd sglang && if [ "$BUILD_TYPE" = "srt" ]; then if [ "$CUDA_VERSION" = "12.1.1" ]; then python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu121/torch2.4/flashinfer/; elif [ "$CUDA_VERSION" = "12.4.1" ]; then python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu124/torch2.4/flashinfer/; elif [ "$CUDA_VERSION" = "11.8.0" ]; then python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu118/torch2.4/flashinfer/; else echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1; fi; else if [ "$CUDA_VERSION" = "12.1.1" ]; then python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu121/torch2.4/flashinfer/; elif [ "$CUDA_VERSION" = "12.4.1" ]; then python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.4/flashinfer/; elif [ "$CUDA_VERSION" = "11.8.0" ]; then python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu118/torch2.4/flashinfer/; else echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1; fi; fi # buildkit
# 2024-12-06 22:10:41 0.00B 定义构建参数
ARG CUDA_VERSION
# 2024-12-06 22:10:41 0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
# 2024-12-06 22:10:41 32.18MB 执行命令并创建新的镜像层
RUN |1 BUILD_TYPE=all /bin/sh -c pip3 install datamodel_code_generator # buildkit
# 2024-12-06 22:10:38 247.79MB 执行命令并创建新的镜像层
RUN |1 BUILD_TYPE=all /bin/sh -c echo 'tzdata tzdata/Areas select America' | debconf-set-selections && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections && apt update -y && apt install software-properties-common -y && add-apt-repository ppa:deadsnakes/ppa -y && apt update && apt install python3.10 python3.10-dev -y && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.8 1 && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.10 2 && update-alternatives --set python3 /usr/bin/python3.10 && apt install python3.10-distutils -y && apt install curl git sudo libibverbs-dev -y && curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && python3 get-pip.py && python3 --version && python3 -m pip --version && rm -rf /var/lib/apt/lists/* && apt clean # buildkit
# 2024-12-06 22:10:38 0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
# 2024-12-06 22:10:38 0.00B 定义构建参数
ARG BUILD_TYPE=all
# 2024-04-23 07:55:35 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2024-04-23 07:55:35 383.63KB 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} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2024-04-23 07:55:34 4.96GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends libtinfo5 libncursesw5 cuda-cudart-dev-12-4=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-4=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-4=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-4=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-4=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-4=${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
# 2024-04-23 07:55:34 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-04-23 07:55:34 0.00B 定义构建参数
ARG TARGETARCH
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4
# 2024-04-23 07:55:34 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.4.127-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.2.5.30-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.4.127-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.4.127-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.1-1
# 2024-04-23 07:47:16 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2024-04-23 07:47:16 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2024-04-23 07:47:16 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2024-04-23 07:47:16 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2024-04-23 07:47:16 261.10KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2024-04-23 07:47:15 2.05GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-4=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-4=${NV_NVTX_VERSION} libcusparse-12-4=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-04-23 07:47:15 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-04-23 07:47:15 0.00B 定义构建参数
ARG TARGETARCH
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4
# 2024-04-23 07:47:15 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.4.5.8-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.3.1.170-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.5.30-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.4.127-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.1-1
# 2024-04-23 07:42:36 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2024-04-23 07:42:36 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2024-04-23 07:42:36 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2024-04-23 07:42:36 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2024-04-23 07:42:36 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
# 2024-04-23 07:42:36 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
# 2024-04-23 07:42:36 155.93MB 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-12-4=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-04-23 07:42:24 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.4.1
# 2024-04-23 07:42:24 18.32MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-04-23 07:42:24 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-04-23 07:42:24 0.00B 定义构建参数
ARG TARGETARCH
# 2024-04-23 07:42:24 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
# 2024-04-23 07:42:24 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.4.127-1
# 2024-04-23 07:42:24 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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
# 2024-04-23 07:42:24 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2024-04-11 02:50:37 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2024-04-11 02:50:37 72.81MB
/bin/sh -c #(nop) ADD file:ea2128e23dce0162557abadd80656bd5ae047d573095d1d4323eb4154490dfdc in /
# 2024-04-11 02:50:35 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=20.04
# 2024-04-11 02:50:35 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2024-04-11 02:50:35 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2024-04-11 02:50:35 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:97b5acb2913b40170e636739d506c21349fc7bded7ffd588ef3e13a3c368ff30",
"RepoTags": [
"lmsysorg/sglang:v0.4.0.post1-cu124",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang:v0.4.0.post1-cu124"
],
"RepoDigests": [
"lmsysorg/sglang@sha256:135cfe37c3db919c86806b8733f7c41351e9dea4bacafb11ff5390b85f5e21bc",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/lmsysorg/sglang@sha256:7d6e1bf841bcfa2060b03184de67c259659e1b0e12f0781c3c7fb396e7409c24"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2024-12-06T14:13:07.050927275Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
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