*/
    public NdrBuffer(final byte[] buf, final int start) {
        this.buf = buf;
        this.start = index = start;
        length = 0;
        deferred = this;
    }

    /**
     * Creates a derived NdrBuffer at the specified index position.
     *
     * @param idx the index position for the derived buffer
     * @return the derived NdrBuffer
     */
    public NdrBuffer derive(final int idx) {

        // Act & Assert
        assertNotSame(response1, response2);
        // Both instances have the same initial state, so toString() will be the same
        // This is expected behavior since they're created with the same configuration
        assertEquals(response1.toString(), response2.toString());
    }

    @Test
    @DisplayName("All write methods should consistently return 0")

    protected long timeout = 30000; // 30sec

    /** Whether the extraction thread should be a daemon thread. */
    protected boolean isDaemonThread = false;

    /**
     * Creates a new PdfExtractor instance.
     */
    public PdfExtractor() {
        super();
    }

    /*
     * (non-Javadoc)
     *

func (sys *LifecycleSys) Get(bucketName string) (lc *lifecycle.Lifecycle, err error) {
	lc, _, err = globalBucketMetadataSys.GetLifecycleConfig(bucketName)
	return lc, err
}

// NewLifecycleSys - creates new lifecycle system.
func NewLifecycleSys() *LifecycleSys {
	return &LifecycleSys{}
}

        buffer[offset++] = (byte) 0x80; // Non-zero value for directory

        // Decode
        int bytesDecoded = fileStandardInfo.decode(buffer, 0, buffer.length);

        // Verify - non-zero values should be treated as true
        assertEquals(22, bytesDecoded);
        assertEquals(expectedEndOfFile, fileStandardInfo.getSize());
    }

    @Test
    @DisplayName("Test encode with various values")

Para añadirlo a tu *path operation*, decláralo de la misma manera que declaraste parámetros de path y query:

{* ../../docs_src/body/tutorial001_py310.py hl[16] *}

...y declara su tipo como el modelo que creaste, `Item`.

## Resultados

Con solo esa declaración de tipo en Python, **FastAPI** hará lo siguiente:

* Leer el body del request como JSON.
* Convertir los tipos correspondientes (si es necesario).

# NOTE: This Dockerfile is no longer in use.
# It is kept just in case, but it's recommended to use the 2022 version,
# and that is what internal CI uses as well.

# This Dockerfile creates an image that has:
# - the correct MTU setting for networking from inside the container to work.
# - Visual Studio 2022 Build Tools
# - MSVC 14.39
# - LLVM/Clang 18.1.4
# - MSYS2 + curl, git, patch, vim, unzip, zip
# - Python 3.12.3
# - Bazelisk 1.19.0

    int srcHashCode; /* srcHashCode must be set by name resolution
                      * routines before entry into addressCache
                      */

    Name() {
    }

    /**
     * Creates a NetBIOS name with the specified attributes.
     *
     * @param name the NetBIOS name (will be truncated to 15 characters if longer)
     * @param hexCode the NetBIOS name type/suffix

	totalMessages  int64
	failedMessages int64

	sync.RWMutex
	pubsub   *pubsub.PubSub[log.Info, madmin.LogMask]
	console  *console.Target
	nodeName string
	logBuf   *ring.Ring
}

// NewConsoleLogger - creates new HTTPConsoleLoggerSys with all nodes subscribed to
// the console logging pub sub system
func NewConsoleLogger(ctx context.Context, w io.Writer) *HTTPConsoleLoggerSys {
	return &HTTPConsoleLoggerSys{

    /** Whether robots.txt processing is enabled. */
    protected boolean enabled = true;

    /**
     * Creates a new RobotsTxtHelper instance.
     */
    public RobotsTxtHelper() {
        // Default constructor
    }

    /**
     * Parses a robots.txt file from the given input stream using UTF-8 encoding.