AvlNode<E> newTop = pred();
        // newTop is the maximum node in my left subtree
        newTop.left = left.removeMax(newTop);
        newTop.right = right;
        newTop.distinctElements = distinctElements - 1;
        newTop.totalCount = totalCount - oldElemCount;
        return newTop.rebalance();
      } else {
        AvlNode<E> newTop = succ();

        AvlNode<E> newTop = pred();
        // newTop is the maximum node in my left subtree
        newTop.left = left.removeMax(newTop);
        newTop.right = right;
        newTop.distinctElements = distinctElements - 1;
        newTop.totalCount = totalCount - oldElemCount;
        return newTop.rebalance();
      } else {
        AvlNode<E> newTop = succ();

    }

    public void setNewReading(final String newReading) {
        this.newReading = newReading;
    }

    public String getNewPos() {
        return newPos;
    }

    public void setNewPos(final String newPos) {
        this.newPos = newPos;
    }

    public String getToken() {
        return token;
    }

    public String getSegmentation() {
        return segmentation;
    }

            final Map<String, Object> newDoc = fessConfig.convertToStorableDoc(doc);
            newDoc.put(indexFieldId, crawlingInfoHelper.generateId(newDoc));
            newDoc.put(indexFieldDocId, systemHelper.generateDocId(newDoc));
            if (newDoc.get(indexFieldLang) instanceof final List<?> langList) {
                if (langList.contains("auto")) {
                    newDoc.remove(indexFieldLang);
                }

		newPod := event.New.(*corev1.Pod)
		oldPod := event.Old.(*corev1.Pod)
		ns := s.namespaces.Get(newPod.Namespace, "")
		if ns == nil {
			return fmt.Errorf("failed to find namespace %v", ns)
		}
		wasAnnotated := oldPod.Annotations != nil && oldPod.Annotations[annotation.AmbientRedirection.Name] == constants.AmbientRedirectionEnabled

                  TF_Status* status) {
  tensorflow::ImmediateExecutionOperation* new_op =
      tensorflow::unwrap(ctx)->CreateOperation();
  status->status = new_op->Reset(op_or_function_name, nullptr);
  if (!status->status.ok()) {
    new_op->Release();
    new_op = nullptr;
  }
  return tensorflow::wrap(new_op);
}

void TFE_DeleteOp(TFE_Op* op) {
  if (op == nullptr) {
    return;
  }

		t.Fatalf("delete auto_increment_struct fail, err: %v", err)
	}

	newRow := &AutoIncrementStruct{}
	if err := DB.Create(newRow).Error; err != nil {
		t.Fatalf("create auto_increment_struct fail, err: %v", err)
	}

	AssertEqual(t, newRow.ID, lastID+1)
}

// https://github.com/go-gorm/gorm/issues/5320
func TestPrimarykeyID(t *testing.T) {

     *
     * We start out with a double-precision approximation, which may be higher or lower than the
     * true value. Therefore, we perform at least one Newton iteration to get a guess that's
     * definitely >= floor(sqrt(x)), and then continue the iteration until we reach a fixed point.
     */
    BigInteger sqrt0;
    int log2 = log2(x, FLOOR);