// SequentialExecutor by the time the barrier is satisfied
      barrier.await(1, SECONDS);
      executor.execute(barrierTask);
      // timeout means the second task wasn't even tried
      barrier.await(1, SECONDS);
    } finally {
      service.shutdown();
    }
  }

  public void testRejectedExecutionThrownWithMultipleCalls() throws Exception {

    val entryTime = System.nanoTime()

    for (queue in TaskRunner.INSTANCE.activeQueues()) {
      // We wait at most 1 second, so we don't ever turn multiple lost threads into
      // a test timeout failure.
      val waitTime = (entryTime + 1_000_000_000L - System.nanoTime())
      if (!queue.idleLatch().await(waitTime, TimeUnit.NANOSECONDS)) {
        TaskRunner.INSTANCE.lock.withLock {

        "discussion_id": discussion_id,
        "comment_id": comment_id,
        "body": body,
    }
    response = httpx.post(
        github_graphql_url,
        headers=headers,
        timeout=settings.httpx_timeout,
        json={"query": query, "variables": variables, "operationName": "Q"},
    )
    if response.status_code != 200:
        logging.error(

      // SequentialExecutor by the time the barrier is satisfied
      barrier.await(1, SECONDS);
      executor.execute(barrierTask);
      // timeout means the second task wasn't even tried
      barrier.await(1, SECONDS);
    } finally {
      service.shutdown();
    }
  }

  public void testRejectedExecutionThrownWithMultipleCalls() throws Exception {

         * Only kill local Gradle processes (classpath in checkout directory).
         * Not clean up global Gradle processes (i.e. classpath in ~/.gradle/...).
         * Because the step is not guaranteed to run (e.g. build timeout), we need `KILL_LEAKED_PROCESSES_FROM_PREVIOUS_BUILDS` mode.
         */
        KILL_PROCESSES_STARTED_BY_GRADLE,
        /**

  // A pod will be in this map from the time when the API server processed the
  // eviction request to the time when the pod is seen by PDB controller
  // as having been marked for deletion (or after a timeout). The key in the map is the name of the pod
  // and the value is the time when the API server processed the eviction request. If
  // the deletion didn't occur and a pod is still there it will be removed from

   * due to any of:
   *
   *  * A stale connection. The request was made on a reused connection and that reused connection
   *    has since been closed by the server.
   *  * A client timeout (HTTP 408).
   *  * A authorization challenge (HTTP 401 and 407) that is satisfied by the [Authenticator].
   *  * A retryable server failure (HTTP 503 with a `Retry-After: 0` response header).

	if logKind == 0 {
		logKind = madmin.LogMaskAll
	}

	// Avoid reusing tcp connection if read timeout is hit
	// This is needed to make r.Context().Done() work as
	// expected in case of read timeout
	w.Header().Set("Connection", "close")

	setEventStreamHeaders(w)

	logCh := make(chan log.Info, 1000)
	peers, _ := newPeerRestClients(globalEndpoints)

                {
                 "match": {
                  "prefix": "/"
                 },
                 "route": {
                  "cluster": "InboundPassthroughClusterIpv4",
                  "timeout": "0s",
                  "max_stream_duration": {
                   "max_stream_duration": "0s",
                   "grpc_timeout_header_max": "0s"
                  }
                 },

import org.junit.jupiter.api.BeforeEach
import org.junit.jupiter.api.Tag
import org.junit.jupiter.api.Test
import org.junit.jupiter.api.Timeout
import org.junit.jupiter.api.extension.RegisterExtension

@Flaky // STDOUT logging enabled for test
@Timeout(30)
@Tag("Slow")
class EventListenerTest {
  @RegisterExtension
  val platform = PlatformRule()

  @RegisterExtension