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.

	if duration < 0 {
		return
	}
	entries := int(atomic.AddInt64(&dt.entries, 1))
	index := entries - 1
	if index < dynamicTimeoutLogSize {
		dt.mutex.Lock()
		dt.log[index] = duration

		// We leak entries while we copy
		if entries == dynamicTimeoutLogSize {
			// Make copy on stack in order to call adjust()
			logCopy := [dynamicTimeoutLogSize]time.Duration{}
			copy(logCopy[:], dt.log[:])

    client.networkInterceptors().add(loggingInterceptor);
    ```

    **Warning:** Avoid `Level.HEADERS` and `Level.BODY` in production because
    they could leak passwords and other authentication credentials to insecure
    logs.

 *  **WebSocket API now uses `RequestBody` and `ResponseBody` for messages.**
    This is a backwards-incompatible API change.

	if len(qs.XferStats) > 0 {
		tots := qs.XferStats[Total]
		m.Set(replicationAverageDataTransferRate, tots.Avg)
		m.Set(replicationCurrentDataTransferRate, tots.Curr)
		m.Set(replicationMaxDataTransferRate, tots.Peak)
	}
	m.Set(replicationRecentBacklogCount, float64(qs.MRFStats.LastFailedCount))

	return nil

	}

	return f
}

type bufPool struct {
	sz   int
	pool bpool.Pool[*[]byte]
}

func (b *bufPool) Put(buf []byte) {
	if cap(buf) < b.sz || cap(buf) > b.sz*2 {
		// Buffer too small or will likely leak memory after being expanded.
		// Drop it.
		return
	}
	b.pool.Put(&buf)
}

func (b *bufPool) Get() []byte {
	bufp := b.pool.Get()
	if bufp == nil || cap(*bufp) < b.sz {
		return make([]byte, 0, b.sz)

  }

  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

        buf.append("},");
        final Threads threads = jvmStats.getThreads();
        buf.append("\"threads\":{");
        append(buf, "count", () -> threads.getCount()).append(',');
        append(buf, "peak", () -> threads.getPeakCount());
        buf.append("},");
        final Classes classes = jvmStats.getClasses();
        buf.append("\"classes\":{");

					throughputHighestGet = totalGet
				}
				sendResult()
				break
			}

			// We break if we did not see 2.5% growth rate in total GET
			// requests, we have reached our peak at this point.
			doBreak := float64(totalGet-throughputHighestGet)/float64(totalGet) < 0.025

			throughputHighestGet = totalGet
			throughputHighestResults = results
			throughputHighestPut = totalPut

        return failedTests;
    }

    /**
     * Class for identifying test output sources. We use this rather than Gradle's {@link TestDescriptor} as we want
     * to avoid any nasty memory leak issues that come from keeping Gradle implementation types in memory. Since we
     * use this a the key for our HashMap, it's best to control the implementation as there's no guarantee that Gradle's