"reserved for the legacy graph export pipeline to maintain expected "
           "invariants. In the case of this pass, that means manually propagating "
           "controls to lifted parallel execute regions to the graph fetch to "
           "ensure the ops execute, as well as determining whether or not the "
           "islands created by this pass should be split after the replicated "

//	    This will only list top-level tests. No subtest or subbenchmarks will be
//	    shown.
//
//	-parallel n
//	    Allow parallel execution of test functions that call t.Parallel, and
//	    fuzz targets that call t.Parallel when running the seed corpus.
//	    The value of this flag is the maximum number of tests to run
//	    simultaneously.

// to relocsym happen in parallel; the assumption is that each
// parallel thread will have its own state object.
type relocSymState struct {
	target *Target
	ldr    *loader.Loader
	err    *ErrorReporter
	syms   *ArchSyms
}

// makeRelocSymState creates a relocSymState container object to
// pass to relocsym(). If relocsym() calls happen in parallel,
// each parallel thread should have its own state object.

	srv := &Server{
		ErrorLog: log.New(&ht.logbuf, "", 0),
		Handler:  ht.handler,
	}
	go srv.Serve(ln)
	<-conn.closec
	return output.String()
}

func TestConsumingBodyOnNextConn(t *testing.T) {
	t.Parallel()
	defer afterTest(t)
	conn := new(testConn)
	for i := 0; i < 2; i++ {
		conn.readBuf.Write([]byte(
			"POST / HTTP/1.1\r\n" +
				"Host: test\r\n" +
				"Content-Length: 11\r\n" +
				"\r\n" +

			// to exit immediately
			return
		}
	}
}

const (
	resyncWorkerCnt        = 10 // limit of number of bucket resyncs is progress at any given time
	resyncParallelRoutines = 10 // number of parallel resync ops per bucket
)

func newresyncer() *replicationResyncer {
	rs := replicationResyncer{
		statusMap:      make(map[string]BucketReplicationResyncStatus),
		workerSize:     resyncWorkerCnt,

				trace.Flow(ctx, d.traceSpan, a.traceSpan)
			}
			err = a.Actor.Act(b, ctx, a)
			span.Done()
		}
		if a.json != nil {
			a.json.TimeDone = time.Now()
		}

		// The actions run in parallel but all the updates to the
		// shared work state are serialized through b.exec.
		b.exec.Lock()
		defer b.exec.Unlock()

		if err != nil {
			if b.AllowErrors && a.Package != nil {

		// Until the server replies to this request, it can't read another,
		// so we might as well run the handler in this goroutine.
		// [*] Not strictly true: HTTP pipelining. We could let them all process
		// in parallel even if their responses need to be serialized.
		// But we're not going to implement HTTP pipelining because it
		// was never deployed in the wild and the answer is HTTP/2.
		inFlightResponse = w

    fi
    # Spread the remaining number of nodes evenly
    this_mig_size=$((instances_left / (NUM_MIGS - i + 1)))
    instances_left=$((instances_left - this_mig_size))

    # Run instance-groups creation in parallel.
    {
      gcloud compute instance-groups managed \
          create "${group_name}" \
          --project "${PROJECT}" \
          --zone "${ZONE}" \
          --base-instance-name "${group_name}" \

	testUploads := struct {
		sync.Mutex
		uploads []string
	}{}

	objectName := "test-object-new-multipart-parallel"
	var wg sync.WaitGroup
	for i := 0; i < 10; i++ {
		wg.Add(1)
		// Initiate NewMultipart upload on the same object 10 times concurrrently.
		go func() {
			defer wg.Done()