code: def create_mock_edge_weight(edge_index):
      """
      Creating a mock edge weight tensor.
      """
      return torch.FloatTensor(
          np.random.uniform(0, 1, (edge_index.shape[1]))
      )
  
imports: import torch
  import numpy
  import networkx
  from torch_geometric_temporal.nn.recurrent import GConvLSTM, GConvGRU, DCRNN, AGCRN
  from torch_geometric_temporal.nn.recurrent import GCLSTM, LRGCN, DyGrEncoder
  from torch_geometric_temporal.nn.recurrent import EvolveGCNH, EvolveGCNO, TGCN, A3TGCN, A3TGCN2, MPNNLSTM
label_desc: Use image node_id 5 for calling a global function with example usage: create_mock_edge_weight(edge_index) and returns: torch