* block of data for communication purposes. ETB is used for blocking data where the block
   * structure is not necessarily related to the processing format.
   *
   * @since 8.0
   */
  public static final byte ETB = 23;

  /**
   * Cancel: A control character used to indicate that the data with which it is sent is in error or
   * is to be disregarded.
   *

// early instead of silently corrupting data.
func erasureSelfTest() {
	// Approx runtime ~1ms
	var testConfigs [][2]uint8
	for total := uint8(4); total < 16; total++ {
		for data := total / 2; data < total; data++ {
			parity := total - data
			testConfigs = append(testConfigs, [2]uint8{data, parity})
		}
	}
	got := make(map[[2]uint8]map[ErasureAlgo]uint64, len(testConfigs))

- MinIO exports Prometheus compatible data by default as an authorized endpoint at `/minio/v2/metrics/cluster`. 

   *
   *  * A `SYN_RESET` frame abnormally terminates the stream.
   *  * Both input and output streams have transmitted all data and headers.
   *
   * Note that the input stream may continue to yield data even after a stream reports itself as
   * not open. This is because input data is buffered.
   */
  val isOpen: Boolean
    get() {
      this.withLock {
        if (errorCode != null) {
          return false

		if d.IsDir() {
			return nil
		}
		data, err := os.ReadFile(path)
		if err != nil {
			log.Fatal(err)
		}
		if strings.HasSuffix(path, ".zip") {
			log.Fatalf("unexpected file during walk: %s", path)
		}
		name := filepath.ToSlash(path)
		w, err := zw.CreateRaw(&zip.FileHeader{
			Name:               name,
			Method:             zip.Store,
			CompressedSize64:   uint64(len(data)),
			UncompressedSize64: uint64(len(data)),

*   `tf.data`:
    *   Graduated experimental APIs:
        * [`tf.data.Dataset.ragged_batch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#ragged_batch), which batches elements of `tf.data.Dataset`s into `tf.RaggedTensor`s.
        * [`tf.data.Dataset.sparse_batch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#sparse_batch), which batches elements of `tf.data.Dataset`s into `tf.sparse.SparseTensor`s.

                                    <tbody>
                                    <c:forEach var="data" varStatus="s" items="${dictFiles}">
                                        <tr data-href="${f:h(data.type)}/?dictId=${f:h(data.id)}">
                                            <td>${f:h(data.path)}</td>
                                            <td>${f:h(data.type)}</td>
                                        </tr>

        bufferIndex += 4;
        this.messageLength = SMBUtil.readInt4(buffer, bufferIndex);
        bufferIndex += 4;
        this.data = new byte[len - 16];
        if ( this.data.length > 0 ) {
            System.arraycopy(buffer, bufferIndex, this.data, 0, this.data.length);
        }
        return bufferIndex - start;
    }

		value="<la:message key="labels.crud_button_edit" />">
		<em class="fa fa-pencil-alt">
		<la:message key="labels.crud_button_edit" />
	</button>
	<button type="button" class="btn btn-danger" name="delete"
		data-toggle="modal" data-target="#confirmToDelete"
		value="<la:message key="labels.crud_button_delete" />">
		<em class="fa fa-trash">
		<la:message key="labels.crud_button_delete" />
	</button>

                                            <c:forEach var="data" varStatus="s"
                                                       items="${accessTokenItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/accesstoken/details/4/${f:u(data.id)}">
                                                    <td>${f:h(data.name)}</td>