/** Queue of documents. */
    protected final Queue<Map<String, Object>> queue = new ConcurrentLinkedQueue<>();
    /** Flag indicating if reading is finished. */
    protected final AtomicBoolean isFinished = new AtomicBoolean(false);

    /** OpenSearch client. */
    protected final Client client;
    /** Suggest settings. */
    protected final SuggestSettings settings;

				if !ok {
					// check if we can get one entry at least
					// proceed to heal nonetheless.
					entry, _ = entries.firstFound()
				}
				jt.Take()
				go healEntry(bucket, *entry)
			},
			finished: func(errs []error) {
				success := countErrs(errs, nil)
				if success < len(disks)/2+1 {
					retErr = fmt.Errorf("one or more errors reported during listing: %v", errors.Join(errs...))
				}
			},
		})

 * Hasher}. Obtain a new hasher from the hash function using {@link #newHasher}, "push" the relevant
 * data into it using methods like {@link Hasher#putBytes(byte[])}, and finally ask for the {@code
 * HashCode} when finished using {@link Hasher#hash}. (See an {@linkplain #newHasher example} of
 * this.)
 *
 * <p>If all you want to hash is a single byte array, string or {@code long} value, there are

 * Hasher}. Obtain a new hasher from the hash function using {@link #newHasher}, "push" the relevant
 * data into it using methods like {@link Hasher#putBytes(byte[])}, and finally ask for the {@code
 * HashCode} when finished using {@link Hasher#hash}. (See an {@linkplain #newHasher example} of
 * this.)
 *
 * <p>If all you want to hash is a single byte array, string or {@code long} value, there are

    taskFaker.runTasks()
    client.listener.assertClosing(1000, "Goodbye!")
    client.webSocket!!.finishReader()
    taskFaker.runTasks()
    assertThat(client.closed).isTrue()

    // Server and client both finished closing, connection is closed.
    server.listener.assertClosed(1000, "Hello!")
    client.listener.assertClosed(1000, "Goodbye!")
  }

  @Test
  fun clientCloseCancelsConnectionAfterTimeout() {

       *   or it had already failed. (It couldn't have completed *successfully* or even had
       *   setFuture called on it: Neither of those can happen until we've finished processing all
       *   the completed inputs. And we're still processing at least one input, the one that
       *   triggered handleException.)
       *

const (
	healNotStartedStatus healStatusSummary = "not started"
	healRunningStatus                      = "running"
	healStoppedStatus                      = "stopped"
	healFinishedStatus                     = "finished"
)

const (
	// a heal sequence with this many un-consumed heal result
	// items blocks until heal-status consumption resumes or is
	// aborted due to timeout.
	maxUnconsumedHealResultItems = 1000

                if (before == 1) {
                    // concurrent connection attempt
                    if (waitForState(transport) == 2) {
                        // finished connecting
                        return null;
                    }
                    // failure to connect
                    throw new SmbException("Tree disconnected while waiting for connection");

    --executor-cores 1 \
    examples/jars/spark-examples*.jar 10
```

The job should produce an output as shown below. Note the value of pi in the output.

```
17/03/22 23:21:10 INFO DAGScheduler: Job 0 finished: reduce at SparkPi.scala:38, took 1.302805 s
Pi is roughly 3.1445191445191445
```

Job status can also be viewed in a browser by navigating to the YARN ResourceManager Web UI and clicking on job history server information.

     * by concurrently running mojo executions. To prevent race conditions, an aggregating execution will block
     * all other executions until finished.
     * We also lock on a given project to forbid a forked lifecycle to be executed concurrently with the project.
     * TODO: ideally, the builder should take care of the ordering in a smarter way