}

# Saves a copy of the Windows Docker event log to ${WINDOWS_LOGS_DIR}\docker.log
# on node $1.
function export-windows-docker-event-log() {
    local -r node="${1}"

    local -r powershell_cmd="powershell.exe -Command \"\$logs=\$(Get-EventLog -LogName Application -Source Docker | Format-Table -Property TimeGenerated, EntryType, Message -Wrap); \$logs | Out-File -FilePath '${WINDOWS_LOGS_DIR}\\docker.log'\""

        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
          docker image prune -af
      - name: Clean repository
        shell: bash

        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
          docker image prune -af
      - name: Clean repository
        shell: bash

CONDITIONAL_HOST_MOUNTS="${CONDITIONAL_HOST_MOUNTS:-} "
container_kubeconfig=''

# docker conditional host mount (needed for make docker push)
if [[ -d "${HOME}/.docker" ]]; then
  CONDITIONAL_HOST_MOUNTS+="--mount type=bind,source=${HOME}/.docker,destination=/config/.docker,readonly "
fi

# gcloud conditional host mount (needed for docker push with the gcloud auth configure-docker)
if [[ -d "${HOME}/.config/gcloud" ]]; then

ics-vidhya/deploy-machine-learning-models-with-keras-fastapi-redis-and-docker-4940df614ece title: Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker - author: Mandy Gu author_link: https://towardsdatascience.com/@mandygu link: https://towardsdatascience.com/deploying-iris-classifications-with-fastapi-and-docker-7c9b83fdec3a title: 'Towards Data Science: Deploying Iris Classifications with FastAPI and Docker' - author: Michael Herman author_link: https://testdriven.io/authors/herman...

      app: helloworld
      version: v1
  template:
    metadata:
      labels:
        app: helloworld
        version: v1
    spec:
      containers:
      - name: helloworld
        image: docker.io/istio/examples-helloworld-v1:1.0
        resources:
          requests:
            cpu: "100m"
        imagePullPolicy: IfNotPresent #Always
        ports:
        - containerPort: 5000
---
apiVersion: apps/v1

COPY --from=build /go/bin/cur* /usr/bin/

COPY CREDITS /licenses/CREDITS
COPY LICENSE /licenses/LICENSE
COPY dockerscripts/docker-entrypoint.sh /usr/bin/docker-entrypoint.sh

EXPOSE 9000
VOLUME ["/data"]

ENTRYPOINT ["/usr/bin/docker-entrypoint.sh"]

      version: v1
  template:
    metadata:
      labels:
        app: details
        version: v1
    spec:
      serviceAccountName: bookinfo-details
      containers:
      - name: details
        image: docker.io/istio/examples-bookinfo-details-v1:1.20.1
        imagePullPolicy: IfNotPresent
        ports:
        - containerPort: 9080
---

		"foo-bar": "my-cert", TLSSecretKey: "tls-key",
	}, corev1.SecretTypeTLS)
	dockerjson = makeSecret("docker-json", map[string]string{
		corev1.DockerConfigJsonKey: "docker-cred",
	}, corev1.SecretTypeDockerConfigJson)
	badDockerjson = makeSecret("bad-docker-json", map[string]string{
		"docker-key": "docker-cred",
	}, corev1.SecretTypeDockerConfigJson)
)

func TestSecretsController(t *testing.T) {

      app: helloworld
      version: v1
  template:
    metadata:
      labels:
        app: helloworld
        version: v1
    spec:
      containers:
      - name: helloworld
        image: docker.io/istio/examples-helloworld-v1:1.0
        resources:
          requests:
            cpu: "100m"
        imagePullPolicy: IfNotPresent #Always
        ports:
        - containerPort: 5000
---
apiVersion: apps/v1