timeoutTask.cancel();
        }
        if (logNotificationTarget != null) {
            logNotificationTarget.flush();
        }
    }

    /**
     * Offers an event to the buffer. If the buffer exceeds the maximum size, the oldest event is dropped.
     *
     * @param event the log notification event to add
     */
    public void offer(final LogNotificationEvent event) {

    int initialBufferSize = min(BUFFER_SIZE, max(128, Integer.highestOneBit(totalLen) * 2));
    // Starting with an 8k buffer, double the size of each successive buffer. Smaller buffers
    // quadruple in size until they reach 8k, to minimize the number of small reads for longer
    // streams. Buffers are retained in a deque so that there's no copying between buffers while

  private static long fingerprint(byte[] bytes, int length) {
    return HASH_FN.hashBytes(bytes, 0, length).asLong();
  }

  /**
   * Tests that the Java port of FarmHashFingerprint64 provides the same results on buffers up to
   * 800 bytes long as the C++ reference implementation.
   */
  public void testMultipleLengths() {
    int iterations = 800;
    byte[] buf = new byte[iterations * 4];
    int bufLen = 0;

    byte[] b = ByteStreams.toByteArray(in);
    assertThat(b).isEmpty();
  }

  public void testToByteArray_largeStream() throws IOException {
    // well, large enough to require multiple buffers
    byte[] expected = newPreFilledByteArray(10000000);
    InputStream in = new ByteArrayInputStream(expected);
    byte[] b = ByteStreams.toByteArray(in);
    assertThat(b).isEqualTo(expected);
  }

    byte[] b = ByteStreams.toByteArray(in);
    assertThat(b).isEmpty();
  }

  public void testToByteArray_largeStream() throws IOException {
    // well, large enough to require multiple buffers
    byte[] expected = newPreFilledByteArray(10000000);
    InputStream in = new ByteArrayInputStream(expected);
    byte[] b = ByteStreams.toByteArray(in);
    assertThat(b).isEqualTo(expected);
  }

    memory usage.
*   Fixed bfloat16 integration of LIBXSMM sparse mat-mul.
*   Improved performance and reduce memory usage by allowing ops to forward
    input buffers to output buffers and perform computations in-place.
*   Improved the performance of CPU assignment for strings.
*   Speed up matrix * vector multiplication and matrix * matrix with unknown
    shapes.

            byte[] buffer1 = new byte[1024];
            int bytesRead1 = stream1.read(buffer1);
            assertEquals(testContent, new String(buffer1, 0, bytesRead1, "UTF-8"));
        }

        // Second read - should work independently
        try (InputStream stream2 = cache.getInputStream()) {
            byte[] buffer2 = new byte[1024];
            int bytesRead2 = stream2.read(buffer2);

                        }
                        if (buffer[buffer.length - 1] === "") {
                            // A last single <br> won't have effect
                            // so put an additional one
                            buffer.push("");
                        }
                        const bufferValue = buffer.join("<br>");
                        dataValue["value"] = bufferValue;

   * system or network intermediaries. This method returns 0 if no messages are waiting in the
   * queue. If may return a nonzero value after the web socket has been canceled; this indicates
   * that enqueued messages were not transmitted.
   *
   * Use this to monitor backpressure and avoid exceeding the 16 MiB outgoing message buffer limit.

   * large amount that crosses the threshold (transitioning from "not at threshold" to "over the
   * threshold"). (We then write some more afterward.) This differs from the existing
   * testThreshold() which writes exactly enough bytes to fill the buffer, then immediately writes
   * more bytes.
   *
   * <p>Note: Direct testing of the {@link IOException} scenario during write/flush is challenging