text: import torch
  import torch.nn.functional as F
  from torch_geometric.utils import degree
  
  
  class OneHotDegree(object):
      r"""Adds the node degree as one hot encodings to the node features.
  
      Args:
          max_degree (int): Maximum degree.
          in_degree (bool, optional): If set to :obj:`True`, will compute the
              in-degree of nodes instead of the out-degree.
              (default: :obj:`False`)
          cat (bool, optional): Concat node degrees to node features instead
              of replacing them. (default: :obj:`True`)
      """
  
      def __init__(self, max_degree, in_degree=False, cat=True):
          self.max_degree = max_degree
          self.in_degree = in_degree
          self.cat = cat
  
      def __call__(self, data):
          idx, x = data.edge_index[1 if self.in_degree else 0], data.x
          deg = degree(idx, data.num_nodes, dtype=torch.long)
          deg = F.one_hot(deg, num_classes=self.max_degree + 1).to(torch.float)
  
          if x is not None and self.cat:
              x = x.view(-1, 1) if x.dim() == 1 else x
              data.x = torch.cat([x, deg.to(x.dtype)], dim=-1)
          else:
              data.x = deg
  
          return data
  
      def __repr__(self):
          return '{}({})'.format(self.__class__.__name__, self.max_degree)
  