this.withLock {
      if (closed) throw IOException("closed")
      var flags = FLAG_NONE
      if (outFinished) flags = flags or FLAG_END_STREAM
      dataFrame(streamId, flags, source, byteCount)
    }
  }

  @Throws(IOException::class)
  fun dataFrame(
    streamId: Int,
    flags: Int,
    buffer: Buffer?,
    byteCount: Int,
  ) {
    frameHeader(
      streamId = streamId,

    Http2Writer(out, true).goAway(lastGoodStreamId, errorCode, debugData)
    return out
  }

  private fun sendDataFrame(data: Buffer): Buffer {
    val out = Buffer()
    Http2Writer(out, true).dataFrame(expectedStreamId, FLAG_NONE, data, data.size.toInt())
    return out
  }

  private fun windowUpdate(windowSizeIncrement: Long): Buffer {
    val out = Buffer()

*   `tf.experimental.StructuredTensor`

    *   Introduced `tf.experimental.StructuredTensor`, which provides a flexible
        and Tensorflow-native way to encode structured data such as protocol
        buffers or pandas dataframes.

*   `tf.keras`:

    *   Added method `get_metrics_result()` to `tf.keras.models.Model`.
        *   Returns the current metrics values of the model as a dict.