byte[] key = new byte[16];
        Arrays.fill(key, (byte) 0x0b);
        byte[] data = "Hi There".getBytes();

        // Expected result calculated manually for HMACT64 with this key and data
        HMACT64 hmac = new HMACT64(key);
        hmac.engineUpdate(data, 0, data.length);
        byte[] result = hmac.engineDigest();

        // Verify it produces a valid MD5 hash (16 bytes)

        data.setAllPageCount(queryResponseList.getAllPageCount());
        data.setExistNextPage(queryResponseList.isExistNextPage());
        data.setExistPrevPage(queryResponseList.isExistPrevPage());
        data.setCurrentStartRecordNumber(queryResponseList.getCurrentStartRecordNumber());
        data.setCurrentEndRecordNumber(queryResponseList.getCurrentEndRecordNumber());
        data.setPageNumberList(queryResponseList.getPageNumberList());

  @Override
  protected Table<String, Integer, Character> create(@Nullable Object... data) {
    Table<String, Integer, String> table = HashBasedTable.create();
    checkArgument(data.length % 3 == 0);
    for (int i = 0; i < data.length; i += 3) {
      String value = (data[i + 2] == null) ? null : (data[i + 2] + "transformed");
      table.put((String) data[i], (Integer) data[i + 1], value);
    }
    return transformValues(table, FIRST_CHARACTER);
  }

            pageSize = data.getPageSize();
            pageNumber = data.getCurrentPageNumber();
            recordCount = data.getAllRecordCount();
            recordCountRelation = data.getAllRecordCountRelation();
            pageCount = data.getAllPageCount();
            nextPage = data.isExistNextPage();
            prevPage = data.isExistPrevPage();
            startRecordNumber = data.getCurrentStartRecordNumber();

            try {
                final StatsObject data = statsCache.getIfPresent(key);
                if (data != null && data.decrement() <= 0) {
                    statsCache.invalidate(key);
                    final Long begin = data.remove(BEGIN_KEY);
                    if (begin != null) {
                        printStats(keyObj, data, begin, true);
                    }
                }

(A SQL separator is semicolon ";")

take-finally-*.sql:
SQL statements for check loaded data (or DDL after data loading)
You should write your own SQL statements in this file.
(basically same specifications as replace-schema.sql)

The "data" directory is for data loading like this:
/- - - - - - - - - - - - - - - - - - - -
playsql
  |-data
     |-common
     |  |-xls
     |     |-10-master.xls
     |     |-defaultValueMap.dataprop

    var button = $(event.relatedTarget),
        docId = button.data("docid"),
        title = button.data("title"),
        url = button.data("url");

    $(this)
      .find(".modal-body #delete-doc-title")
      .text(title);
    $(this)
      .find(".modal-body #delete-doc-url")
      .text(url);
    $(this)
      .find(".modal-footer input#docId")
      .val(docId);
  });

            searchPaging(data, form);
        });
    }

    /**
     * Sets up search paging data for rendering the related query list.
     *
     * @param data the render data to populate
     * @param form the search form containing current search criteria
     */
    protected void searchPaging(final RenderData data, final SearchForm form) {

								<group>root</group>
							</mapper>
						</data>
						<!-- Adds systemd file -->
						<data>
							<type>file</type>
							<src>${project.build.directory}/generated-packaging/deb/systemd/fess.service</src>
							<dst>${packaging.fess.systemd.dir}/fess.service</dst>
						</data>
						<!-- Adds systemd/sysctl.d configuration file -->
						<data>
							<type>file</type>

when dealing with untrusted data. Based on the security history of these
libraries we consider that it is safe to work with untrusted inputs for PNG,
BMP, GIF, WAV, RAW, RAW\_PADDED, CSV and PROTO formats. All other input formats,
including tensorflow-io should be sandboxed if used to process untrusted data.

For example, if an attacker were to upload a malicious video file, they could