checkNotNull(cell.getValue(), "value");
        @SuppressWarnings("unchecked") // all supported methods are covariant
        Cell<R, C, V> immutableCell = (Cell<R, C, V>) cell;
        cells.add(immutableCell);
      } else {
        put(cell.getRowKey(), cell.getColumnKey(), cell.getValue());
      }
      return this;
    }

    /**

  public int hashCode() {
    int hashCode = 1;
    int n = size();
    for (int i = 0; i < n; i++) {
      hashCode = 31 * hashCode + get(i).hashCode();

      hashCode = ~~hashCode;
      // needed to deal with GWT integer overflow
    }
    return hashCode;
  }

  /*
   * Serializes ImmutableLists as their logical contents. This ensures that

      // It's a weird formula, but tests prove it works.
      int adjust = size() - 1;
      for (int i = 0; i < axes.size(); i++) {
        adjust *= 31;
        adjust = ~~adjust;
        // in GWT, we have to deal with integer overflow carefully
      }
      int hash = 1;
      for (Set<E> axis : axes) {
        hash = 31 * hash + (size() / axis.size() * axis.hashCode());

        hash = ~~hash;
      }

"*Nós trocamos nossas **APIs** por **FastAPI** [...] Acredito que vocês gostarão dele [...]*"

	var hostErrs []NotificationPeerErr
	for _, profiler := range profiles {
		hostErrs = append(hostErrs, globalNotificationSys.StartProfiling(profiler)...)

		// Start profiling locally as well.
		prof, err := startProfiler(profiler)
		if err != nil {
			hostErrs = append(hostErrs, NotificationPeerErr{
				Host: *thisAddr,
				Err:  err,
			})
		} else {
			globalProfiler[profiler] = prof

    *   tf.optimizers => tf.keras.optimizers
    *   Add tf.keras.layers.AbstractRNNCell as the preferred implementation of
        RNN cell for TF v2. User can use it to implement RNN cell with custom
        behavior.
    *   Adding `clear_losses` API to be able to clear losses at the end of
        forward pass in a custom training loop in eager.

		// if peers already exist and for one of them ReplicateILMExpiry
		// set true, that means earlier replication of ILM expiry was set
		// for the site replication. All new sites added to the setup should
		// get this enabled as well
		if replicateILMExpirySet {
			peerReplicateILMExpiry = replicateILMExpirySet
		} else {
			peerReplicateILMExpiry = opts.ReplicateILMExpiry
		}
		joinReq.Peers[v.DeploymentID] = madmin.PeerInfo{