@Override
      protected void runTest() throws Throwable {
        Monitor monitor1 = new Monitor(fair1);
        Monitor monitor2 = new Monitor(fair2);
        FlagGuard guard = new FlagGuard(monitor2);
        List<Object> arguments = new ArrayList<>();
        arguments.add(guard);
        if (isDurationBased(method)) {

import org.lastaflute.di.core.external.GenericExternalContextComponentDefRegister;
import org.lastaflute.di.core.factory.SingletonLaContainerFactory;
import org.opensearch.monitor.jvm.JvmInfo;
import org.opensearch.monitor.os.OsProbe;
import org.opensearch.monitor.process.ProcessProbe;

import jakarta.annotation.Resource;

/**
 * Executable class for generating thumbnails for indexed documents.

            op.setRefreshPolicy(Constants.TRUE);
        });
    }

    /**
     * Starts a monitor task for tracking job execution.
     *
     * @param jobLog the job log to monitor
     * @return the timeout task for monitoring
     */
    public TimeoutTask startMonitorTask(final JobLog jobLog) {

import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.action.admin.cluster.node.hotthreads.NodesHotThreadsResponse;
import org.opensearch.common.unit.TimeValue;

/**
 * Monitor target for tracking hot threads in the OpenSearch cluster.
 * This class extends MonitorTarget to provide monitoring functionality for
 * hot threads, which helps identify performance bottlenecks and resource

import org.lastaflute.di.core.external.GenericExternalContextComponentDefRegister;
import org.lastaflute.di.core.factory.SingletonLaContainerFactory;
import org.opensearch.monitor.jvm.JvmInfo;
import org.opensearch.monitor.os.OsProbe;
import org.opensearch.monitor.process.ProcessProbe;

import jakarta.annotation.Resource;

/**
 * This class is a command-line application for creating and managing the suggest index.

import com.google.caliper.Param;
import java.lang.reflect.Constructor;
import java.util.concurrent.BlockingQueue;
import org.jspecify.annotations.NullUnmarked;

/**
 * Benchmarks for {@link Monitor}.
 *
 * @author Justin T. Sampson
 */
@NullUnmarked
public class MonitorBenchmark {

  @Param({"10", "100", "1000"})
  int capacity;

  @Param({"Array", "Priority"})
  String queueType;

import org.lastaflute.di.core.external.GenericExternalContextComponentDefRegister;
import org.lastaflute.di.core.factory.SingletonLaContainerFactory;
import org.opensearch.monitor.jvm.JvmInfo;
import org.opensearch.monitor.os.OsProbe;
import org.opensearch.monitor.process.ProcessProbe;

import jakarta.annotation.Resource;

/**
 * Main executable class for running crawling operations in the Fess search engine.

          // because the service does not monitor the state of the future so if the exception is not
          // caught and forwarded to the service the task would stop executing but the service would
          // have no idea.
          // TODO(lukes): consider building everything in terms of ListenableScheduledFuture then
          // the AbstractService could monitor the future directly. Rescheduling is still hard...

          // because the service does not monitor the state of the future so if the exception is not
          // caught and forwarded to the service the task would stop executing but the service would
          // have no idea.
          // TODO(lukes): consider building everything in terms of ListenableScheduledFuture then
          // the AbstractService could monitor the future directly. Rescheduling is still hard...

Upload a file to a server (for example, Imgur) and report progress as the request body is being written. You can implement a ProgressListener to receive updates and wrap the original request body with ProgressRequestBody. This allows you to monitor how many bytes have been uploaded and calculate the percentage of completion.

=== ":material-language-kotlin: Kotlin"
    ```kotlin
      class UploadProgress {

        companion object {