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chore: bump guidebook/store to 0.3.3
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+19
-19
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package-lock.json

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package.json

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"typescript": "4.7.4"
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},
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"dependencies": {
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"@guidebooks/store": "^0.3.0",
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"@guidebooks/store": "^0.3.3",
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"@kui-shell/client": "file:./plugins/plugin-client-default",
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"@kui-shell/core": "11.5.0-dev-20220807-191654",
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"@kui-shell/plugin-bash-like": "11.5.0-dev-20220807-191654",

tests/kind/profiles/non-gpu/keep-it-simple

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"Provide custom base image, if any": "{\"Provide custom base image, if any\":\"rayproject/ray:1.13.1-py37\"}",
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"AWS####IBM####My data is not stored in S3": "My data is not stored in S3",
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"Run Locally####Run on a Kubernetes Cluster": "Run on a Kubernetes Cluster",
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"expand(kubectl config get-contexts -o name, Kubernetes contexts)": "kind-codeflare-test",
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"expand([ -z ${KUBE_CONTEXT} ] && exit 1 || X=$(kubectl ${KUBE_CONTEXT_ARG} get ns -o name || oc ${KUBE_CONTEXT_ARG} get projects -o name); echo \"$X\" | sed -E 's#(namespace|project.project.openshift.io)/##' | grep -Ev 'openshift|kube-', Kubernetes namespaces)####Create a namespace": "default",
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"expand((kubectl config get-contexts -o name | grep -E . >& /dev/null && kubectl config get-contexts -o name) || (kubectl version | grep Server >& /dev/null && echo \"${KUBE_CONTEXT_FOR_TEST-In-cluster}\" || exit 1), Kubernetes contexts)": "kind-codeflare-test",
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"expand([ -z ${KUBE_CONTEXT} ] && exit 1 || X=$([ -n \"$KUBE_NS_FOR_TEST\" ] && echo $KUBE_NS_FOR_TEST || kubectl ${KUBE_CONTEXT_ARG} get ns -o name || oc ${KUBE_CONTEXT_ARG} get projects -o name); echo \"$X\" | sed -E 's#(namespace|project.project.openshift.io)/##' | grep -Ev 'openshift|kube-', Kubernetes namespaces)####Create a namespace": "default",
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"Number of CPUs####Number of GPUs####Minimum Workers####Maximum Workers####Worker Memory####Head Memory": "{\"Number of CPUs\":\"500m\",\"Number of GPUs\":\"0\",\"Minimum Workers\":\"1\",\"Maximum Workers\":\"1\",\"Worker Memory\":\"1.5Gi\",\"Head Memory\":\"1.5Gi\"}",
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"Keep It Simple####Use the Ray Autoscaler####Use the Multi-user Enhanced Kubernetes Scheduler": "Keep It Simple"
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}

tests/kind/profiles/non-gpu/mcad-coscheduler

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"Provide custom base image, if any": "{\"Provide custom base image, if any\":\"rayproject/ray:1.13.1-py37\"}",
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"AWS####IBM####My data is not stored in S3": "My data is not stored in S3",
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"Run Locally####Run on a Kubernetes Cluster": "Run on a Kubernetes Cluster",
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"expand(kubectl config get-contexts -o name, Kubernetes contexts)": "kind-codeflare-test",
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"expand([ -z ${KUBE_CONTEXT} ] && exit 1 || X=$(kubectl ${KUBE_CONTEXT_ARG} get ns -o name || oc ${KUBE_CONTEXT_ARG} get projects -o name); echo \"$X\" | sed -E 's#(namespace|project.project.openshift.io)/##' | grep -Ev 'openshift|kube-', Kubernetes namespaces)####Create a namespace": "default",
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"expand((kubectl config get-contexts -o name | grep -E . >& /dev/null && kubectl config get-contexts -o name) || (kubectl version | grep Server >& /dev/null && echo \"${KUBE_CONTEXT_FOR_TEST-In-cluster}\" || exit 1), Kubernetes contexts)": "kind-codeflare-test",
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"expand([ -z ${KUBE_CONTEXT} ] && exit 1 || X=$([ -n \"$KUBE_NS_FOR_TEST\" ] && echo $KUBE_NS_FOR_TEST || kubectl ${KUBE_CONTEXT_ARG} get ns -o name || oc ${KUBE_CONTEXT_ARG} get projects -o name); echo \"$X\" | sed -E 's#(namespace|project.project.openshift.io)/##' | grep -Ev 'openshift|kube-', Kubernetes namespaces)####Create a namespace": "default",
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"Number of CPUs####Number of GPUs####Minimum Workers####Maximum Workers####Worker Memory####Head Memory": "{\"Number of CPUs\":\"250m\",\"Number of GPUs\":\"0\",\"Minimum Workers\":\"1\",\"Maximum Workers\":\"1\",\"Worker Memory\":\"1.5Gi\",\"Head Memory\":\"1.5Gi\"}",
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"Keep It Simple####Use the Ray Autoscaler####Use the Multi-user Enhanced Kubernetes Scheduler": "Use the Multi-user Enhanced Kubernetes Scheduler",
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"My administrator has already installed and configured MCAD####MCAD with the Advanced Coscheduler####MCAD with the Default Kubernetes Scheduler": "MCAD with the Advanced Coscheduler"

tests/kind/profiles/non-gpu/mcad-default

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"Provide custom base image, if any": "{\"Provide custom base image, if any\":\"rayproject/ray:1.13.1-py37\"}",
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"AWS####IBM####My data is not stored in S3": "My data is not stored in S3",
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"Run Locally####Run on a Kubernetes Cluster": "Run on a Kubernetes Cluster",
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"expand(kubectl config get-contexts -o name, Kubernetes contexts)": "kind-codeflare-test",
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"expand([ -z ${KUBE_CONTEXT} ] && exit 1 || X=$(kubectl ${KUBE_CONTEXT_ARG} get ns -o name || oc ${KUBE_CONTEXT_ARG} get projects -o name); echo \"$X\" | sed -E 's#(namespace|project.project.openshift.io)/##' | grep -Ev 'openshift|kube-', Kubernetes namespaces)####Create a namespace": "default",
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"expand((kubectl config get-contexts -o name | grep -E . >& /dev/null && kubectl config get-contexts -o name) || (kubectl version | grep Server >& /dev/null && echo \"${KUBE_CONTEXT_FOR_TEST-In-cluster}\" || exit 1), Kubernetes contexts)": "kind-codeflare-test",
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"expand([ -z ${KUBE_CONTEXT} ] && exit 1 || X=$([ -n \"$KUBE_NS_FOR_TEST\" ] && echo $KUBE_NS_FOR_TEST || kubectl ${KUBE_CONTEXT_ARG} get ns -o name || oc ${KUBE_CONTEXT_ARG} get projects -o name); echo \"$X\" | sed -E 's#(namespace|project.project.openshift.io)/##' | grep -Ev 'openshift|kube-', Kubernetes namespaces)####Create a namespace": "default",
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"Number of CPUs####Number of GPUs####Minimum Workers####Maximum Workers####Worker Memory####Head Memory": "{\"Number of CPUs\":\"250m\",\"Number of GPUs\":\"0\",\"Minimum Workers\":\"1\",\"Maximum Workers\":\"1\",\"Worker Memory\":\"1.5Gi\",\"Head Memory\":\"1.5Gi\"}",
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"Keep It Simple####Use the Ray Autoscaler####Use the Multi-user Enhanced Kubernetes Scheduler": "Use the Multi-user Enhanced Kubernetes Scheduler",
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"My administrator has already installed and configured MCAD####MCAD with the Advanced Coscheduler####MCAD with the Default Kubernetes Scheduler": "MCAD with the Default Kubernetes Scheduler"

tests/kind/profiles/non-gpu/mcad-preinstalled

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"Provide custom base image, if any": "{\"Provide custom base image, if any\":\"rayproject/ray:1.13.1-py37\"}",
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"AWS####IBM####My data is not stored in S3": "My data is not stored in S3",
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"Run Locally####Run on a Kubernetes Cluster": "Run on a Kubernetes Cluster",
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"expand(kubectl config get-contexts -o name, Kubernetes contexts)": "kind-codeflare-test",
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"expand([ -z ${KUBE_CONTEXT} ] && exit 1 || X=$(kubectl ${KUBE_CONTEXT_ARG} get ns -o name || oc ${KUBE_CONTEXT_ARG} get projects -o name); echo \"$X\" | sed -E 's#(namespace|project.project.openshift.io)/##' | grep -Ev 'openshift|kube-', Kubernetes namespaces)####Create a namespace": "default",
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"expand((kubectl config get-contexts -o name | grep -E . >& /dev/null && kubectl config get-contexts -o name) || (kubectl version | grep Server >& /dev/null && echo \"${KUBE_CONTEXT_FOR_TEST-In-cluster}\" || exit 1), Kubernetes contexts)": "kind-codeflare-test",
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"expand([ -z ${KUBE_CONTEXT} ] && exit 1 || X=$([ -n \"$KUBE_NS_FOR_TEST\" ] && echo $KUBE_NS_FOR_TEST || kubectl ${KUBE_CONTEXT_ARG} get ns -o name || oc ${KUBE_CONTEXT_ARG} get projects -o name); echo \"$X\" | sed -E 's#(namespace|project.project.openshift.io)/##' | grep -Ev 'openshift|kube-', Kubernetes namespaces)####Create a namespace": "default",
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"Number of CPUs####Number of GPUs####Minimum Workers####Maximum Workers####Worker Memory####Head Memory": "{\"Number of CPUs\":\"250m\",\"Number of GPUs\":\"0\",\"Minimum Workers\":\"1\",\"Maximum Workers\":\"1\",\"Worker Memory\":\"1.5Gi\",\"Head Memory\":\"1.5Gi\"}",
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"Keep It Simple####Use the Ray Autoscaler####Use the Multi-user Enhanced Kubernetes Scheduler": "Use the Multi-user Enhanced Kubernetes Scheduler",
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"My administrator has already installed and configured MCAD####MCAD with the Advanced Coscheduler####MCAD with the Default Kubernetes Scheduler": "My administrator has already installed and configured MCAD"
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}
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}
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}

tests/kind/profiles/non-gpu/ray-autoscaler

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"Provide custom base image, if any": "{\"Provide custom base image, if any\":\"rayproject/ray:1.13.1-py37\"}",
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"AWS####IBM####My data is not stored in S3": "My data is not stored in S3",
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"Run Locally####Run on a Kubernetes Cluster": "Run on a Kubernetes Cluster",
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"expand(kubectl config get-contexts -o name, Kubernetes contexts)": "kind-codeflare-test",
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"expand([ -z ${KUBE_CONTEXT} ] && exit 1 || X=$(kubectl ${KUBE_CONTEXT_ARG} get ns -o name || oc ${KUBE_CONTEXT_ARG} get projects -o name); echo \"$X\" | sed -E 's#(namespace|project.project.openshift.io)/##' | grep -Ev 'openshift|kube-', Kubernetes namespaces)####Create a namespace": "default",
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"expand((kubectl config get-contexts -o name | grep -E . >& /dev/null && kubectl config get-contexts -o name) || (kubectl version | grep Server >& /dev/null && echo \"${KUBE_CONTEXT_FOR_TEST-In-cluster}\" || exit 1), Kubernetes contexts)": "kind-codeflare-test",
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"expand([ -z ${KUBE_CONTEXT} ] && exit 1 || X=$([ -n \"$KUBE_NS_FOR_TEST\" ] && echo $KUBE_NS_FOR_TEST || kubectl ${KUBE_CONTEXT_ARG} get ns -o name || oc ${KUBE_CONTEXT_ARG} get projects -o name); echo \"$X\" | sed -E 's#(namespace|project.project.openshift.io)/##' | grep -Ev 'openshift|kube-', Kubernetes namespaces)####Create a namespace": "default",
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"Number of CPUs####Number of GPUs####Minimum Workers####Maximum Workers####Worker Memory####Head Memory": "{\"Number of CPUs\":\"350m\",\"Number of GPUs\":\"0\",\"Minimum Workers\":\"1\",\"Maximum Workers\":\"1\",\"Worker Memory\":\"1.5Gi\",\"Head Memory\":\"1.5Gi\"}",
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"Keep It Simple####Use the Ray Autoscaler####Use the Multi-user Enhanced Kubernetes Scheduler": "Use the Ray Autoscaler"
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}

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