code: def get_temporal_data(num_events, msg_channels):
      return TemporalData(
          src=torch.arange(num_events),
          dst=torch.arange(num_events, num_events * 2),
          t=torch.arange(0, num_events * 1000, step=1000),
          msg=torch.randn(num_events, msg_channels),
          y=torch.randint(0, 2, (num_events,)),
      )
  
imports: import copy
  import torch
  from torch_geometric.data import TemporalData
label_desc: Use image node_id 1 for calling a global function with example usage: get_temporal_data(num_events, msg_channels) and returns: TemporalData