srs.Latency.update(st.TransferSize, st.TransferDuration)
			srs.updateXferRate(st.TransferSize, st.TransferDuration)
		}
	case st.Failed:
		srs.Failed.addsize(st.TransferSize, st.Err)
	case st.Pending:
	}
	sr.M[dID] = srs
}

func (sr *SRStats) get() map[string]SRMetric {
	epMap := globalBucketTargetSys.healthStats()

	sr.lock.RLock()
	defer sr.lock.RUnlock()

    /** 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;

   * 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)

     * @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 {

    /**

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

    * 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.

   * we needn't create a separate loader.
   */
  static final class SystemLoader implements FinalizerLoader {
    // This is used by the ClassLoader-leak test in FinalizableReferenceQueueTest to disable
    // finding Finalizer on the system class path even if it is there.
    @VisibleForTesting static boolean disabled;

    @Override
    public @Nullable Class<?> loadFinalizer() {
      if (disabled) {
        return null;

                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.
         */

	ReplicateIncomingDelete = "replicate:incoming:delete"

	// ReplicateHeal - audit trail for healing of failed/pending replications
	ReplicateHeal = "replicate:heal"
	// ReplicateHealDelete - audit trail of healing of failed/pending delete replications.
	ReplicateHealDelete = "replicate:heal:delete"
)

var (
	globalReplicationPool  = once.NewSingleton[ReplicationPool]()