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 math
  import numpy
  import networkx
  from torch_geometric.data import Data
  from torch_geometric.utils import barabasi_albert_graph
  from torch_geometric.transforms import LaplacianLambdaMax
  from torch_geometric_temporal.nn.attention import TemporalConv, STConv, ASTGCN, MSTGCN, MTGNN, ChebConvAttention, AAGCN, GraphAAGCN, DNNTSP
  from torch_geometric_temporal.nn.attention import GMAN, SpatioTemporalAttention, SpatioTemporalEmbedding
label_desc: Use image node_id 2 for calling a global function with example usage: create_mock_edge_weight(edge_index) and returns: torch