* than two.)
     *
     * Read operations can thus proceed without locking, but rely on selected uses of volatiles to
     * ensure that completed write operations performed by other threads are noticed. For most
     * purposes, the "count" field, tracking the number of elements, serves as that volatile

                } catch (Exception se) {
                    log.debug("Session setup failed", se);
                    if (this.connectionState.compareAndSet(1, 0)) {
                        // only try to logoff if we have not completed the session setup, ignore errors from chained
                        // responses
                        logoff(true, true);
                    }
                    throw se;
                } finally {

	}

	var buf bytes.Buffer
	r, err := obj.GetObjectNInfo(context.Background(), bucketName, testObject, nil, nil, ObjectOptions{})
	if err != nil {
		t.Fatalf("Test %s: reading completed file failed: <ERROR> %v", instanceType, err)
	}
	if _, err = io.Copy(&buf, r); err != nil {
		r.Close()
		t.Fatalf("Test %s: Failed to fetch the copied object: <ERROR> %s", instanceType, err)
	}
	r.Close()

			sizeS.pendingSize += oi.Size
		case replication.Failed:
			tgtSizeS.failedSize += oi.Size
			tgtSizeS.failedCount++
			sizeS.failedSize += oi.Size
			sizeS.failedCount++
		case replication.Completed, replication.CompletedLegacy:
			tgtSizeS.replicatedSize += oi.Size
			tgtSizeS.replicatedCount++
			sizeS.replicatedSize += oi.Size
			sizeS.replicatedCount++
		}
		sizeS.replTargetStats[arn] = tgtSizeS

	// limit (8KB), we stop growing the source string once the limit
	// is reached and keep reusing the same source string - that
	// should therefore be always resident in the L1 cache - until we
	// have completed the construction of the result.
	// This yields significant speedups (up to +100%) in cases where
	// the result length is large (roughly, over L2 cache size).
	const chunkLimit = 8 * 1024
	chunkMax := n

    // the connection flow-control window so new requests can proceed.
    call1.cancel()
    assertThat(
      response1.body.source().discard(1, TimeUnit.SECONDS),
      "Call should not have completed successfully.",
    ).isFalse()
    val call2 = client.newCall(Request(server.url("/")))
    val response2 = call2.execute()
    assertThat(response2.body.string()).isEqualTo("abc")
  }

            final List<SearchResult> list = Collections.list(holder.get().search(baseDn, filter, controls));
            if (logger.isDebugEnabled()) {
                logger.debug("LDAP search completed: time={}ms, baseDn={}, filter={}", systemHelper.getCurrentTimeAsLong() - startTime,
                        baseDn, filter);
            }
            consumer.accept(list);
        } catch (final NamingException e) {

// This operation lists in-progress multipart uploads. An in-progress
// multipart upload is a multipart upload that has been initiated,
// using the Initiate Multipart Upload request, but has not yet been
// completed or aborted. This operation returns at most 1,000 multipart
// uploads in the response.
func (api objectAPIHandlers) ListMultipartUploadsHandler(w http.ResponseWriter, r *http.Request) {

    assertThat(actual).isEqualTo(expected)
  }

  /**
   * Returns true when all work currently in progress by the watchdog have completed. This method
   * creates more work for the watchdog and waits for that work to be executed. When it is, we know
   * work that preceded this call is complete.
   */
  private fun awaitWatchdogIdle() {
    val latch = CountDownLatch(1)
    val watchdogJob: AsyncTimeout =

				MetricV2{
					Description: MetricDescription{
						Namespace: bucketMetricNamespace,
						Subsystem: "batch",
						Name:      MetricName(jtype + "_objects"),
						Help:      "Get successfully completed batch job " + jtype + "objects",
						Type:      counterMetric,
					},
					Value:          objects,
					VariableLabels: map[string]string{"bucket": bucket, "jobId": mj.JobID},
				},
				MetricV2{