drainCancelQueue(eventSource)
  }

  override fun onEvent(
    eventSource: EventSource,
    id: String?,
    type: String?,
    data: String,
  ) {
    get().log("[ES] onEvent", Platform.INFO, null)
    events.add(Event(id, type, data))
    drainCancelQueue(eventSource)
  }

  override fun onClosed(eventSource: EventSource) {
    get().log("[ES] onClosed", Platform.INFO, null)

            return parse_grants_response(response.data)

        def parse_grants_response(data):
            """
            Parser for AssumeRoleWithClientGrants response

            :param data: Response data for AssumeRoleWithClientGrants request
            :return: dict
            """
            root = STSElement.fromstring(
                'AssumeRoleWithClientGrantsResponse', data)

	// Create a split function that delivers a little data, then a predictable error.
	numSplits := 0
	const okCount = 7
	errorSplit := func(data []byte, atEOF bool) (advance int, token []byte, err error) {
		if atEOF {
			panic("didn't get enough data")
		}
		if numSplits >= okCount {
			return 0, nil, testError
		}
		numSplits++
		return 1, data[0:1], nil
	}
	// Read the data.
	const text = "abcdefghijklmnopqrstuvwxyz"

                                            <c:forEach var="data" varStatus="s"
                                                       items="${stemmerOverrideItemItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/dict/stemmeroverride/details/${f:u(dictId)}/4/${f:u(data.id)}">

  const val FLAG_END_STREAM = 0x1 // Used for headers and data.
  const val FLAG_END_HEADERS = 0x4 // Used for headers and continuation.
  const val FLAG_END_PUSH_PROMISE = 0x4
  const val FLAG_PADDED = 0x8 // Used for headers and data.
  const val FLAG_PRIORITY = 0x20 // Used for headers.
  const val FLAG_COMPRESSED = 0x20 // Used for data.

  /** Lookup table for valid frame types. */
  private val FRAME_NAMES =

        // Create a simple message with 3 bytes of data
        byte[] data = new byte[] { 1, 2, 3 };
        byte[] fullData = concat(messageHeader(3), data);
        InputStream in = new ByteArrayInputStream(fullData);
        SocketInputStream sis = new SocketInputStream(in);

        // Read the three data bytes
        assertEquals(1, sis.read());
        assertEquals(2, sis.read());

*   `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.

    }

    @Override
    public String toString() {
        return ("TransCallNamedPipeResponse[" + super.toString() + "]");
    }

    /**
     * Gets the length of the response data received from the named pipe.
     *
     * @return response data length
     */
    public int getResponseLength() {
        return getDataCount();
    }

 * Callback interface for handling index update operations during data store processing.
 * This interface provides methods for storing documents, tracking processing metrics,
 * and committing changes to the search index.
 */
public interface IndexUpdateCallback {

    /**
     * Stores a document in the search index with the specified parameters and data.
     *
     * @param paramMap the data store parameters containing configuration and metadata

				ModTime:   timeSentinel1970,
			}, nil
		}
		inData = xlMeta.data
		fi, err = xlMeta.ToFileInfo(volume, path, versionID, opts.InclFreeVersions, true)
	}
	if !opts.Data || err != nil {
		return fi, err
	}
	versionID = fi.VersionID
	if versionID == "" {
		versionID = nullVersionID
	}

	fi.Data = inData.find(versionID)
	if len(fi.Data) == 0 {
		// PR #11758 used DataDir, preserve it