// Test duplicate unregistration
        assertFalse(mockService.unregisterWitness(regId));
    }

    @Test
    void testMockServiceNotifications() {
        // Test notification sending (just logs for mock)
        mockService.sendNotification(WitnessEventType.RESOURCE_CHANGE, "TestResource");

        // Register a witness first

you had a client that was sending an invalid Content-Type or Accept header to
the API, in 1.2 you will either receive a 415 or 406 error.
The only client
this is known to affect is curl when you use -d with JSON but don't set a
content type, helpfully sends "application/x-www-urlencoded", which is not
correct.
Other client authors should double check that you are sending proper

     * @return the last access time
     */
    public long getLastAccessTime() {
        return lastAccessTime;
    }

    /**
     * Checks if the cache has pending changes
     * @return true if cache has changes
     */
    public boolean hasChanges() {
        return hasChanges;
    }

    /**
     * Get and increment inconsistency count
     *

/**
 * This class simplifies communication for protocols that support
 * multiplexing requests. It encapsulates a stream and some protocol
 * knowledge (provided by a concrete subclass) so that connecting,
 * disconnecting, sending, and receiving can be syncronized
 * properly. Apparatus is provided to send and receive requests
 * concurrently.
 */

public abstract class Transport implements Runnable {

    /**

   * have been received. If the returned list contains multiple blocks of headers the blocks will be
   * delimited by 'null'.
   *
   * @param callerIsIdle true if the caller isn't sending any more bytes until the peer responds.
   *     This is true after a `Expect-Continue` request, false for duplex requests, and false for
   *     all other requests.
   */
  @Throws(IOException::class)

    * Parce que les structures de données de pydantic consistent seulement en une instance de classe que vous définissez; l'auto-complétion, le linting, mypy et votre intuition devrait être largement suffisante pour valider vos données.
* Valide les **structures complexes**:
    * Utilise les modèles hiérarchique de Pydantic, le `typage` Python pour les `Lists`, `Dict`, etc.

    /** Available send credits for flow control */
    protected final AtomicInteger sendCredits;
    /** Available receive credits for flow control */
    protected final AtomicInteger receiveCredits;
    /** Queue of pending RDMA work requests */
    protected final BlockingQueue<RdmaWorkRequest> pendingRequests;

    // Connection state
    /** Current connection state */
    protected volatile RdmaConnectionState state;

                throw new DictionaryException("Failed to write: " + line, e);
            }
        }

        /**
         * Commits the changes to the dictionary file.
         * If there is a pending new item, it is written to the file.
         *
         * @return The committed item, or null if no item was committed.
         * @throws DictionaryException if an I/O error occurs.
         */

    * به این دلیل که ساختار داده Pydantic فقط نمونه هایی از کلاس هایی هستند که شما تعریف میکنید، تکمیل خودکار، mypy، linting و مشاهده شما باید به درستی با داده های معتبر شما کار کنند.
* اعتبار سنجی **ساختارهای پیچیده**:
    * استفاده از مدل های سلسله مراتبی Pydantic, `List` و `Dict` کتابخانه `typing` پایتون و غیره.

 * Don't start a new attempt until 250 ms after the most recent attempt was started.
 * Keep whichever TCP connection succeeds first and cancel all the others.
 * Race TCP only. Only attempt a TLS handshake on the winning TCP connection.