when(dc.toString()).thenReturn("DC");

            NtlmChallenge nc = new NtlmChallenge(challenge, dc);
            String result = nc.toString();

            // With size = 6 * 2 = 12, should produce "000F107F80FF"
            assertTrue(result.contains("000F107F80FF"));
        }

        @Test
        @DisplayName("Large challenge array is handled correctly")
        void testLargeChallengeArray() {

        MessageDigest hmac = Crypto.getHMACT64(key);
        byte[] result = hmac.digest(data);

        // Then
        assertNotNull(result);
        assertTrue(result.length > 0, "HMAC-T64 should produce non-empty result");
    }

    @Test
    @DisplayName("Should perform RC4 encryption/decryption")
    void testRC4() throws Exception {
        // Given
        byte[] key = "testkey123456789".getBytes(); // 16 bytes

import org.opensearch.core.common.Strings;
import org.opensearch.transport.client.Client;

/**
 * Abstract class representing a request that can be executed to produce a response.
 *
 * @param <T> the type of response produced by this request
 */
public abstract class Request<T extends Response> {
    /**
     * Constructs a new request.
     */
    public Request() {
        // nothing
    }

        final ExtractData result = textExtractor.getText(in, null);

        assertNotNull(result);
        assertNotNull(result.getContent());
        assertTrue("Empty input should produce empty content", result.getContent().isEmpty());
    }

    /**
     * Test extraction with large text content.
     */
    public void test_getText_largeContent_extractsSuccessfully() {

        String msg = "\u00A1\u00A2"; // same Unicode string
        byte[] asciiBytes = msg.getBytes(SmbConstants.DEFAULT_OEM_ENCODING);
        assertTrue(asciiBytes.length > 0, "ASCII encoding should produce bytes");
    }

    @Test
    public void testBufferCreation() throws UnsupportedEncodingException {
        byte[] dataBytes = { 1, 2, 3, 4 };
        String params = "test";

 *   <li>Conversion of individual Hankaku Kana characters to Zenkaku Kana characters.</li>
 *   <li>Handling of voiced (ﾞ) and semi-voiced (ﾟ) sound marks to produce the correct Zenkaku Kana characters.</li>
 * </ul>
 *
 * <p>Example usage:</p>
 * <pre>
 * {@code
 * HankakuKanaToZenkakuKana normalizer = new HankakuKanaToZenkakuKana();

         *
         * @param <R> The type of the result returned by the function.
         * @param stream A function that processes the stream and produces a result.
         * @return The result produced by applying the function to the stream.
         */
        public <R> R get(final Function<Stream<T>, R> stream) {
            try (Stream<T> s = supplier.get()) {

*[Fess Site Search](https://github.com/codelibs/fess-site-search)* es una alternativa gratuita a [Google Site Search](https://enterprise.google.com/search/products/gss.html). Para más detalles, consulta la [documentación de FSS JS Generator](https://fss-generator.codelibs.org/docs/manual).

## Sitio web

[fess.codelibs.org](https://fess.codelibs.org/)

## Problemas/Preguntas

#     ; MEMBER       = SEQ_MEMBER
#     ; MEMBER_LOGIN = SEQ_MEMBER_LOGIN
#     ; PRODUCT      = SEQ_PRODUCT
# }
#
# *The line that starts with '#' means comment-out.
#
map:{
    #; PURCHASE     = SEQ_PURCHASE
    #; MEMBER       = SEQ_MEMBER
    #; MEMBER_LOGIN = SEQ_MEMBER_LOGIN
    #; PRODUCT      = SEQ_PRODUCT
}

#     # This means that String includes GreaterThan at MEMBER.MEMBER_ACCOUNT only
#     # and LessThan at PRODUCT.PRODUCT_NAME and PRODUCT.PRODUCT_HANDLE_CODE,
#     # and InScope for LONGVARCHAR(e.g. text type) is excluded.
#     ; String = map:{
#         ; GreaterThan = map:{ MEMBER = list:{ MEMBER_ACCOUNT } }
#         ; LessThan = map:{ PRODUCT = list:{ PRODUCT_NAME ; PRODUCT_HANDLE_CODE } }
#         ; !InScope = map:{ $$ALL$$ = list:{ type:LONGVARCHAR } }