labels.pagination_page_guide_msg={0}/{1} ({2} items)
labels.list_could_not_find_crud_table=Not registered.
labels.scheduledjob_configuration=Job Scheduler
labels.scheduledjob_title_details=Job
labels.scheduledjob_name=Name
labels.scheduledjob_target=Target
labels.scheduledjob_status=Status
labels.scheduledjob_cronExpression=Schedule
labels.scheduledjob_scriptType=Execution Method
labels.scheduledjob_scriptData=Script
labels.scheduledjob_jobLogging=Logging

    # pyenv from github.
    rm -rf "$PYENV_ROOT"
    git clone https://github.com/pyenv/pyenv.git "$PYENV_ROOT"
  fi
  echo "Upgraded pyenv version: $(pyenv --version)"
fi

# Scheduled nightly and release builds upload build artifacts (Pip packages,
# Libtensorflow archives) to GCS buckets. TFCI Mac VMs need to authenticate as
# a service account that has the right permissions to be able to do so.
set +x

labels.pagination_page_guide_msg={0}/{1} ({2} items)
labels.list_could_not_find_crud_table=Not registered.
labels.scheduledjob_configuration=Job Scheduler
labels.scheduledjob_title_details=Job
labels.scheduledjob_name=Name
labels.scheduledjob_target=Target
labels.scheduledjob_status=Status
labels.scheduledjob_cronExpression=Schedule
labels.scheduledjob_scriptType=Execution Method
labels.scheduledjob_scriptData=Script
labels.scheduledjob_jobLogging=Logging

    @Resource
    protected FileConfigService fileConfigService;

    /** Helper for managing crawler processes */
    @Resource
    protected ProcessHelper processHelper;

    /** Service for managing scheduled jobs */
    @Resource
    protected ScheduledJobService scheduledJobService;

    // ===================================================================================

    * Specifically the new controller watches the API server for scheduled pods. It processes each pod and ensures that any volumes that implement the volume Attacher interface are attached to the node their pod is scheduled to.

#                                                  Scheduler
#                                                     ------

# Target name for the scheduler.
scheduler.target.name=
# Job class for the scheduler.
scheduler.job.class=org.codelibs.fess.app.job.ScriptExecutorJob
# Mode for concurrent execution in the scheduler.
scheduler.concurrent.exec.mode=QUIT
# Interval for scheduler monitoring.
scheduler.monitor.interval=30

        // future `thread == currentThread()` calls from this thread don't incorrectly queue instead
        // of executing. Don't null out the latestTaskQueue field, because the work done here
        // may have scheduled more operations on another thread, and if those operations then
        // trigger reentrant calls that thread will have updated the latestTaskQueue field, and
        // we'd be interfering with their operation.

  // threadpool, so that we avoid the possibility of running the runner_ in the
  // threadpool of GPU event mgr, as that can trigger more callbacks to be
  // scheduled on that same threadpool, causing a deadlock in cases where the
  // caller of event_mgr->ThenExecute() blocks on the completion of the callback
  // (as in the case of ConstOp kernel creation on GPU, which involves copying a

}

// SetSkipTierFreeVersion indicates to skip adding a tier free version id.
// Note: Used only when expiring tiered objects and the remote content has
// already been scheduled for deletion
func (fi *FileInfo) SetSkipTierFreeVersion() {
	if fi.Metadata == nil {
		fi.Metadata = make(map[string]string)
	}
	fi.Metadata[ReservedMetadataPrefixLower+tierSkipFVID] = ""
}

        // future `thread == currentThread()` calls from this thread don't incorrectly queue instead
        // of executing. Don't null out the latestTaskQueue field, because the work done here
        // may have scheduled more operations on another thread, and if those operations then
        // trigger reentrant calls that thread will have updated the latestTaskQueue field, and
        // we'd be interfering with their operation.