second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # runCommand ($@) # Run custom mc command runCommand() { ${MC} "$@" return $? } # Try connecting to MinIO instance {{- if .Values.tls.enabled }} scheme=https {{- else }} scheme=http {{- end }} connectToMinio $scheme {{ if .Values.customCommands }} # Run custom commands {{- range .Values.customCommands }} runCommand {{ .command }} {{- end }} {{- end }} minio/templates/_helper_policy.tpl {{-...

second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # runCommand ($@) # Run custom mc command runCommand() { ${MC} "$@" return $? } # Try connecting to MinIO instance {{- if .Values.tls.enabled }} scheme=https {{- else }} scheme=http {{- end }} connectToMinio $scheme {{ if .Values.customCommands }} # Run custom commands {{- range .Values.customCommands }} runCommand {{ .command }} {{- end }} {{- end }} minio/templates/_helper_policy.tpl {{-...

second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # runCommand ($@) # Run custom mc command runCommand() { ${MC} "$@" return $? } # Try connecting to MinIO instance {{- if .Values.tls.enabled }} scheme=https {{- else }} scheme=http {{- end }} connectToMinio $scheme {{ if .Values.customCommands }} # Run custom commands {{- range .Values.customCommands }} runCommand {{ .command }} {{- end }} {{- end }} minio/templates/_helper_policy.tpl {{-...

computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers...

 * plugins should always acquire model builder instances via dependency injection. Developers might want to subclass
 * this factory to provide custom implementations for some of the components used by the model builder, or use the
 * builder API to inject custom instances.
 *
 * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public class DefaultModelBuilderFactory {

 * <li><dfn>Private Remote Repository</dfn>: Organizations often maintain their own private remote repositories, which may host proprietary or custom-built artifacts that are not available in the central repository. These repositories can be managed using tools like Apache Archiva, Sonatype Nexus, or JFrog Artifactory.</li>

    id: tfversion
    attributes:
      label: TensorFlow version
      placeholder: e.g., tf 2.8
    validations:
      required: true
  - type: dropdown
    id: Code
    attributes:
      label: Custom code
      options:
        - "Yes"
        - "No"
    validations:
      required: true
  - type: input
    id: OS
    attributes:
      label: OS platform and distribution

fi

git clone --filter=tree:0 "https://${REPO}" "${API_TMP}" && cd "${API_TMP}"
git checkout "${SHA}"
if [ ! -f "${API_TMP}/kubernetes/customresourcedefinitions.gen.yaml" ]; then
  echo "Generated Custom Resource Definitions file does not exist in the commit SHA ${SHA}. Not updating the CRD file."
  exit
fi
rm -f "${ROOTDIR}/manifests/charts/base/files/crd-all.gen.yaml"

 *
 * This works because those types each implement {@code PredecessorsFunction}. It will also work
 * with any other implementation of this interface.
 *
 * <p>If you have your own graph implementation based around a custom node type {@code MyNode},
 * which has a method {@code getParents()} that retrieves its predecessors in a graph:
 *
 * <pre>{@code
 * someGraphAlgorithm(startNode, MyNode::getParents);
 * }</pre>
 *

  /** Stop the service. */
  protected abstract void shutDown() throws Exception;

  /**
   * Returns the {@link Executor} that will be used to run this service. Subclasses may override
   * this method to use a custom {@link Executor}, which may configure its worker thread with a
   * specific name, thread group or priority. The returned executor's {@link
   * Executor#execute(Runnable) execute()} method is called when this service is started and