code: def __init__(
      self,
      value: Union[int, Dict[EdgeType, int], None],
      num_nodes: _NumNodes,
  ) -> None:
      if value is None:
          if isinstance(num_nodes.value, int):
              value = num_nodes.value * num_nodes.value
          else:
              value = {}
  
      self.value = value
      self.num_nodes = num_nodes
  
imports: from abc import ABC, abstractmethod
  from dataclasses import dataclass
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  import torch
  import torch.nn.functional
  from torch_geometric.data import Data, HeteroData
  from torch_geometric.data.datapipes import functional_transform
  from torch_geometric.data.storage import EdgeStorage, NodeStorage
  from torch_geometric.transforms import BaseTransform
  from torch_geometric.typing import EdgeType, NodeType
label_desc: Use image node_id 1 to create a new _NumEdges object  with example: obj = _NumEdges(value, num_nodes)