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services :
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cogstack-jupyter-hub :
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- image : cogstacksystems/jupyter-hub:2.0.2 -${CPU_ARCHITECTURE:-amd64}
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+ image : cogstacksystems/jupyter-hub:${JUPYTER_HUB_IMAGE_RELEASE_VERSION:-latest} -${CPU_ARCHITECTURE:-amd64}
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container_name : cogstack-jupyter-hub
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restart : always
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environment :
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volumes :
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jupyter-hub-vol :
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+ name : " ${VOLUME_PREFIX:-deploy_}jupyter-hub-vol"
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driver : local
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jupyter-hub-shared-scratch :
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+ name : " ${VOLUME_PREFIX:-deploy_}jupyter-hub-shared-scratch"
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driver : local
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# ---------------------------------------------------------------------------#
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# remove if this causes issues on any other platform
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# possible values: amd64, arm64
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CPU_ARCHITECTURE = amd64
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- DOCKER_DEFAULT_PLATFORM = linux/${ CPU_ARCHITECTURE:-amd64 }
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+ DOCKER_DEFAULT_PLATFORM = linux/${ CPU_ARCHITECTURE:-amd64 }
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+ COMPOSE_BAKE = True
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+
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+ # This variable is used only in the cogstack-nifi repository since it is
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+ # the main repository used for deplyments, located here for consistency and reference
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+ # We need to maintain the prefix for the volumes as if
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+ # they were deployed from the cogstack-nifi repository /deploy folder
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+ #
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+ # VOLUME_PREFIX=deploy_
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# jupyter-singleuser-gpu AMD64: ogstacksystems/jupyter-singleuser-gput:latest-amd64
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# last stable release build (AMD64 only): "cogstacksystems/jupyter-singleuser:1.2.7"
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# The CogStack images are huge and will take a bit to download
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- DOCKER_NOTEBOOK_IMAGE = " cogstacksystems/jupyter-singleuser:2.0.2-${ CPU_ARCHITECTURE:-amd64 } "
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+ JUPYTER_HUB_IMAGE_RELEASE_VERSION = 2.0.2
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+ DOCKER_NOTEBOOK_IMAGE = " cogstacksystems/jupyter-singleuser:${ JUPYTER_HUB_IMAGE_RELEASE_VERSION:-latest } -${ CPU_ARCHITECTURE:-amd64 } "
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# This needs to be set to true if you intend to use the GPU image
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# possible values: "true", "false"
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