* 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

     * 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

		cancel()
	}()

	// Do listing...
	go func(o listPathOptions) {
		err := z.listMerged(listCtx, o, inCh)
		if err != nil {
			meta.setErr(err.Error())
		}
		o.debugln("listAndSave: listing", o.ID, "finished with ", err)
	}(*o)

	// Keep track of when we return since we no longer have to send entries to output.
	var funcReturned bool
	var funcReturnedMu sync.Mutex
	defer func() {
		funcReturnedMu.Lock()

				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...))
				}
			},
		})

    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.)
       *

}

func (p *poolMeta) validate(pools []*erasureSets) (bool, error) {
	type poolInfo struct {
		position     int
		completed    bool
		decomStarted bool // started but not finished yet
	}

	rememberedPools := make(map[string]poolInfo)
	for idx, pool := range p.Pools {
		complete := false
		decomStarted := false
		if pool.Decommission != nil {
			if pool.Decommission.Complete {

    --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.

	err          error     // Sticky error.
	empties      int       // Count of successive empty tokens.
	scanCalled   bool      // Scan has been called; buffer is in use.
	done         bool      // Scan has finished.
}

// SplitFunc is the signature of the split function used to tokenize the
// input. The arguments are an initial substring of the remaining unprocessed

	// ResyncPending - resync pending
	ResyncPending
	// ResyncCanceled - resync canceled
	ResyncCanceled
	// ResyncStarted -  resync in progress
	ResyncStarted
	// ResyncCompleted -  resync finished
	ResyncCompleted
	// ResyncFailed -  resync failed
	ResyncFailed
)

func (rt ResyncStatusType) isValid() bool {
	return rt != NoResync
}

func (rt ResyncStatusType) String() string {