Vamos a empezar desde donde lo dejamos en el capítulo anterior e incrementarlo.

## Acerca de JWT { #about-jwt }

JWT significa "JSON Web Tokens".

Es un estándar para codificar un objeto JSON en un string largo y denso sin espacios. Se ve así:

```
eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c
```

        }
        longPath.append("file.txt");

        trans2QueryPathInfo = new Trans2QueryPathInformation(config, longPath.toString(), TEST_INFO_LEVEL);

        byte[] buffer = new byte[8192]; // Large buffer for long path
        int written = trans2QueryPathInfo.writeParametersWireFormat(buffer, 0);

        // Should write the entire path
        assertTrue(written > longPath.length());

# LLM-Testdatei { #llm-test-file }

Dieses Dokument testet, ob das <abbr title="Large Language Model – Großes Sprachmodell">LLM</abbr>, das die Dokumentation übersetzt, den <abbr title="General Prompt – Allgemeiner Prompt">`general_prompt`</abbr> in `scripts/translate.py` und den sprachspezifischen Prompt in `docs/{language code}/llm-prompt.md` versteht. Der sprachspezifische Prompt wird an `general_prompt` angehängt.

 *  New: Change `HeldCertificate.Builder` to use its own ASN.1 certificate encoder. This is part
    of our effort to remove the okhttp-tls module's dependency on Bouncy Castle. We think Bouncy
    Castle is great! But it's a large dependency (6.5 MiB) and its security provider feature
    impacts VM-wide behavior.

 *  New: Reduce contention for applications that make a very high number of concurrent requests.

        return b;
    }

    /**
     * Get the maximum of two dialect versions
     *
     * @param a the first version to compare
     * @param b the second version to compare
     * @return larger of the two versions
     */
    public static DialectVersion max(final DialectVersion a, final DialectVersion b) {
        if (a.atLeast(b)) {
            return a;
        }
        return b;
    }

    void testDataHandlingWithVariousSizes() {
        // Test with small data count
        response.setDataCount(10);
        assertEquals(10, response.getDataCount());

        // Test with large data count
        response.setDataCount(65535);
        assertEquals(65535, response.getDataCount());

        // Test with zero data count
        response.setDataCount(0);

    /** Raw mode capability */
    int CAP_RAW_MODE = 0x0001;
    /** MPX mode capability */
    int CAP_MPX_MODE = 0x0002;
    /** Unicode capability */
    int CAP_UNICODE = 0x0004;
    /** Large files capability */
    int CAP_LARGE_FILES = 0x0008;
    /** NT SMBs capability */
    int CAP_NT_SMBS = 0x0010;
    /** RPC remote APIs capability */
    int CAP_RPC_REMOTE_APIS = 0x0020;

 * particular example can be written as just:
 *
 * {@snippet :
 * ContiguousSet.closed(5, 42)
 * }
 *
 * <p><b>Warning:</b> Be extremely careful what you do with conceptually large instances (such as
 * {@code ContiguousSet.create(Range.greaterThan(0), DiscreteDomain.integers()}). Certain operations
 * on such a set can be performed efficiently, but others (such as {@link Set#hashCode} or {@link

         * than a handful of exceptions. But it seems prudent to set a cap on how many we'll cache.
         * This avoids out-of-control memory consumption, and it keeps the cache from growing so
         * large that doing the lookup is noticeably slower than redoing the work would be.
         *
         * Ideally we'd have a real eviction policy, but until we see a problem in practice, I hope

        String result = transCallNamedPipe.toString();

        // Then
        assertNotNull(result);
        assertTrue(result.contains("pipeName=null"));
    }

    @Test
    @DisplayName("Test with large data")
    void testWithLargeData() {
        // Given
        byte[] largeData = new byte[1000];
        Arrays.fill(largeData, (byte) 0x42);