@Resource
    protected FileConfigService fileConfigService;

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

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

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

********************************************************************************

## TensorFlow's Official CI and Build/Test Scripts

TensorFlow's official CI jobs run the scripts in this folder. Our internal CI
system, Kokoro, schedules our CI jobs by combining a build script with a file
from the `envs` directory that is filled with configuration options:

-   Nightly jobs (Run nightly on the `nightly` branch)

    # 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

                if (logger.isDebugEnabled()) {
                    logger.debug(s);
                }
            });
            task = new ProcessDestroyer(p, ist, commandDestroyTimeout);
            destoryTimer.schedule(task, commandTimeout);
            ist.start();

            if (logger.isDebugEnabled()) {
                logger.debug("Waiting for {}.", getName());
            }

        // Setup test with mock ScheduledJobBhv
        final AtomicInteger callCount = new AtomicInteger(0);
        final List<ScheduledJob> scheduledJobs = new ArrayList<>();

        // Create test scheduled jobs
        ScheduledJob job1 = new ScheduledJob() {
            @Override
            public String getId() {
                return "job1";
            }

            @Override

  // 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

        // Resource state changed - may need to reconnect
        log.info("Resource change detected for: {}", notification.getResourceName());

        // Schedule reconnection attempt
        scheduleReconnection(getContext().getConfig().getWitnessReconnectDelay());
    }

    /**
     * Handle client move events
     */

        this.cleanupExecutor = Executors.newSingleThreadScheduledExecutor(r -> {
            Thread t = new Thread(r, "LeaseManager-Cleanup");
            t.setDaemon(true);
            return t;
        });

        // Schedule periodic cleanup
        long cleanupInterval = context.getConfig().getLeaseTimeout();
        if (cleanupInterval <= 0) {
            cleanupInterval = DEFAULT_LEASE_CLEANUP_INTERVAL;
        }

            }
        }

        return resultBuf.toString();

    }

    /**
     * Gets the count of currently running crawler jobs.
     * This method queries the scheduled jobs to count active crawler processes.
     * Used to enforce maximum concurrent crawler limits.
     *
     * @return the number of currently running crawler jobs
     */
    protected int getRunningJobCount() {

        .build(),
    )
    val webSocket = newWebSocket()
    clientListener.assertOpen()
    val server = serverListener.assertOpen()

    // Initiate a close on the client, which will schedule a hard cancel in 500 ms.
    val closeAtNanos = System.nanoTime()
    webSocket.close(1000, "goodbye", 500L)
    serverListener.assertClosing(1000, "goodbye")

    // Confirm that the hard cancel occurred after 500 ms.