return asHtml(path_AdminFailureurl_AdminFailureurlJsp).renderWith(data -> {
            searchPaging(data, form);
        });
    }

    /**
     * Sets up pagination data and restores search form values from the pager.
     *
     * @param data the render data to populate with failure URL items
     * @param form the search form to restore values into
     */

    void testReadWireFormat() throws IOException {
        byte[] data = new byte[50];
        data[0] = (byte) 0x85; // SESSION_KEEP_ALIVE
        data[1] = 0x00;
        data[2] = 0x00;
        data[3] = 0x0A; // Length = 10

        ByteArrayInputStream bais = new ByteArrayInputStream(data);

        int totalRead = packet.readWireFormat(bais, data, 0);

        assertEquals(14, totalRead); // 4 header + 10 trailer

    /**
     * Field name for transformer name.
     */
    public static final String TRANSFORMER_NAME = "transformerName";

    /**
     * Field name for data.
     */
    public static final String DATA = "data";

    /**
     * Field name for encoding.
     */
    public static final String ENCODING = "encoding";

    /**
     * Creates a new instance of OpenSearchAccessResultData.

            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

It doesn't return a large `str` containing the data in JSON format (as a string). It returns a Python standard data structure (e.g. a `dict`) with values and sub-values that are all compatible with JSON.

/// note

`jsonable_encoder` is actually used by **FastAPI** internally to convert data. But it is useful in many other scenarios.

     * A byte array that holds the cached content data.
     */
    private final byte[] data;

    /**
     * The file that is used to cache the content.
     */
    private final File file;

    /**
     * Constructs a ContentCache with the given byte array data.
     *
     * @param data the byte array containing the content
     * @throws IllegalArgumentException if data is null
     */

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

					<a class="link" href="${doc.url_link}" data-uri="${doc.url_link}"
						data-id="${doc.doc_id}" data-order="${s.index}">${doc.content_title}</a>
				</h3>
				<div class="body">
					<c:if test="${thumbnailSupport && !empty doc.thumbnail}">
					<div class="me-3">
						<a class="link d-none d-sm-flex" href="${doc.url_link}" data-uri="${doc.url_link}" data-id="${doc.doc_id}"
							data-order="${s.index}"

            assertTrue(str.contains("endOfFile=2048"));
        }
    }

    @Nested
    @DisplayName("Data Reading Tests")
    class DataReadingTests {

        @Test
        @DisplayName("Should read data for basic info level")
        void testReadDataBasicInfo() {
            Trans2QueryPathInformationResponse resp =

        // Create a mock DfsReferralData object
        DfsReferralData mockData = mock(DfsReferralData.class);

        // Create a DfsReferral instance with the mock data
        DfsReferral dfsReferral = new DfsReferral(mockData);

        // Verify that getData() returns the same mock data object
        assertEquals(mockData, dfsReferral.getData(), "getData() should return the DfsReferralData object passed to the constructor.");
    }

    /**