}
        final byte[] data = accessResultData.getData();
        if (data == null) {
            return null;
        }
        try {
            return new String(data, charsetName);
        } catch (final UnsupportedEncodingException e) {

    }

    /**
     * Create a test byte array with specified size and pattern
     */
    protected byte[] createTestData(int size) {
        byte[] data = new byte[size];
        for (int i = 0; i < size; i++) {
            data[i] = (byte) (i % 256);
        }
        return data;
    }

    /**
     * Create a test string with specified length
     */
    protected String createTestString(int length) {

 */
public interface DataStore {

    /**
     * Store the data.
     * @param config The data configuration.
     * @param callback The callback.
     * @param initParamMap The initial parameters.
     */
    void store(DataConfig config, IndexUpdateCallback callback, DataStoreParams initParamMap);

    /**
     * Stop the data store.
     */
    void stop();

*   `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.

				err = e
			}
		}

		if len(data.err) > 0 && err == nil {
			t.Errorf("callbacks tests #%v should got error %v, but not", idx+1, data.err)
		} else if len(data.err) == 0 && err != nil {
			t.Errorf("callbacks tests #%v should not got error, but got %v", idx+1, err)
		}

		if ok, msg := assertCallbacks(callbacks.Create(), data.results); !ok {
			t.Errorf("callbacks tests #%v failed, got %v", idx+1, msg)

    public ExtractorBuilder cacheFileSize(final int cacheFileSize) {
        this.cacheFileSize = cacheFileSize;
        return this;
    }

    /**
     * Extracts data from the input stream using the configured parameters.
     *
     * @return the extracted data
     * @throws MaxLengthExceededException if content length exceeds maximum allowed
     * @throws ExtractException if extraction fails
     */

    #  Referring the property 'sequenceDefinitionMap'.
    #
    #; isIncrementSequenceToDataMax = false
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o isSuppressBatchUpdate: (NotRequired - Default false)
    #  Does it suppress batch update at loading data?
    #  When you have a data error, you may get details for the error

      rm -rf "libc6_2.17-0ubuntu5.1_amd64.deb" "libc6_2.17-0ubuntu5.1_amd64"
  # Download binary glibc 2.17 development library release.
  wget "http://old-releases.ubuntu.com/ubuntu/pool/main/e/eglibc/libc6-dev_2.17-0ubuntu5.1_amd64.deb" && \
      unar "libc6-dev_2.17-0ubuntu5.1_amd64.deb" && \
      tar -C "${TARGET}" -xvzf "libc6-dev_2.17-0ubuntu5.1_amd64/data.tar.gz" && \

                return null;
            }

            data.setContent(EntityUtils.toString(response.getEntity(), Charsets.UTF_8));
            final Header[] headers = response.getAllHeaders();
            for (final Header header : headers) {
                data.putValue(header.getName(), header.getValue());
            }
        } catch (final IOException e) {

func newTestReaderEOF(data []byte) io.Reader {
	return &testOneByteReadEOF{false, data}
}

// OneByteReadEOF - implements io.Reader which returns 1 byte along with io.EOF error.
type testOneByteReadEOF struct {
	eof  bool
	data []byte
}

func (r *testOneByteReadEOF) Read(p []byte) (n int, err error) {
	if r.eof {
		return 0, io.EOF
	}
	n = copy(p, r.data)
	r.eof = true
	return n, io.EOF
}