totpeak = math.Max(math.Max(tot.Peak, totpeak), tot.Curr)
		lpeak = math.Max(math.Max(v[Large].Peak, lpeak), v[Large].Curr)
		speak = math.Max(math.Max(v[Small].Peak, speak), v[Small].Curr)
		if lpeak > 0 || speak > 0 {
			count++
		}
	}
	if count > 0 {
		lrg := XferStats{
			Avg:  lavg / float64(count),
			Curr: lcurr / float64(count),
			Peak: lpeak,
		}
		sml := XferStats{

                break;
            }
        }
    }

    /**
     * Report a potential resource leak
     */
    private void reportPotentialLeak(ResourceHolder holder) {
        log.warn("Potential resource leak detected: {} ({}) - open for {} ms", holder.resourceId, holder.resourceType, holder.getAge());

        if (log.isDebugEnabled() && holder.allocationStackTrace != null) {

        // The leak counter may or may not increment depending on GC timing
        assertNotNull(stats.get("totalLeaks"));
    }

    private void createLeakyResource() {
        TestResource resource = new TestResource("leaky");
        resourceManager.registerResource(resource);
        // Resource goes out of scope without closing - potential leak
    }

    @Test

}

type latencyStat struct {
	lastmin lastMinuteLatency
	curr    time.Duration
	avg     time.Duration
	peak    time.Duration
	N       int64
}

func (l *latencyStat) update(d time.Duration) {
	l.lastmin.add(d)
	l.N++
	if d > l.peak {
		l.peak = d
	}
	l.curr = l.lastmin.getTotal().avg()
	l.avg = time.Duration((int64(l.avg)*(l.N-1) + int64(l.curr)) / l.N)
}

			}
		case "av":
			z.Avg, err = dc.ReadFloat64()
			if err != nil {
				err = msgp.WrapError(err, "Avg")
				return
			}
		case "p":
			z.Peak, err = dc.ReadFloat64()
			if err != nil {
				err = msgp.WrapError(err, "Peak")
				return
			}
		case "n":
			z.N, err = dc.ReadInt64()
			if err != nil {
				err = msgp.WrapError(err, "N")
				return
			}
		default:

         */
        public JvmThreadsObj() {
            // Default constructor
        }

        /** Current number of threads */
        public int count;
        /** Peak number of threads */
        public int peak;
    }

    /**
     * Data transfer object representing JVM class loading statistics.
     */
    public static class JvmClassesObj {
        /**
         * Default constructor.

    } while (inflater.bytesRead < totalBytesToRead && !inflater.finished())

    // The inflater data was self-terminated and there's unexpected trailing data. Tear it all down
    // so we don't leak that data into the input of the next message.
    if (inflater.bytesRead < totalBytesToRead) {
      deflatedBytes.clear()
      inflaterSource.close()
      this.inflaterSource = null
      this.inflater = null
    }

research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running
and leak or tamper with applications from other users. Please report
vulnerabilities to the vendor of the affected hardware accelerator.

	return dstRec, nil
}

// Close - closes underlying reader.
func (r *Reader) Close() error {
	// Close the input.
	err := r.readCloser.Close()
	for range r.valueCh {
		// Drain values so we don't leak a goroutine.
		// Since we have closed the input, it should fail rather quickly.
	}
	return err
}

// NewReader - creates new JSON reader using readCloser.

  }

  private static boolean isWindows() {
    return OS_NAME.value().startsWith("Windows");
  }

  /**
   * Test that verifies the resource leak fix for <a
   * href="https://github.com/google/guava/issues/5756">Issue #5756</a>.
   *
   * <p>This test covers a scenario where we write a smaller amount of data first, then write a