@classmethod
    def fromstring(cls, root_name, data):
        """Initialize STSElement from name and XML string data.

        :param name: Name for XML data. Used in XML errors.
        :param data: string data to be parsed.
        :return: Returns an STSElement.
        """
        try:
            return cls(root_name, cElementTree.fromstring(data))
        except _ETREE_EXCEPTIONS as error:

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

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

		return errConfigNotFound
	}
	return err
}

func saveConfigWithOpts(ctx context.Context, store objectIO, configFile string, data []byte, opts ObjectOptions) error {
	hashReader, err := hash.NewReader(ctx, bytes.NewReader(data), int64(len(data)), "", getSHA256Hash(data), int64(len(data)))
	if err != nil {
		return err
	}

	_, err = store.PutObject(ctx, minioMetaBucket, configFile, NewPutObjReader(hashReader), opts)

            searchPaging(data, form);
        });
    }

    /**
     * Search with paging.
     * @param data The render data.
     * @param form The search form.
     */
    protected void searchPaging(final RenderData data, final SearchForm form) {
        // page navi

            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);
                    }
                }

            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) {

        byte[] data = new byte[32]; // Dummy data, must be multiple of 8
        byte[] decrypted = KerberosEncData.decrypt(data, key, KerberosConstants.DES_ENC_TYPE);
        assertNotNull(decrypted);
        // With dummy data, we can't verify the content, just that it decrypts without error
        // and returns a result of the expected size.
        assertEquals(data.length - 24, decrypted.length);
    }

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