code: def test_static_hetero_graph_temporal_signal_batch_edges():
      dataset = StaticHeteroGraphTemporalSignalBatch(
          {("author", "writes", "paper"): np.array([[0, 1], [1, 0]])},
          {("author", "writes", "paper"): np.array([[0.1], [0.1]])},
          [
              {
                  "author": np.array([[0], [0]]),
                  "paper": np.array([[0], [0], [0]]),
              },
              {
                  "author": np.array([[0.1], [0.1]]),
                  "paper": np.array([[0.1], [0.1], [0.1]]),
              },
          ],
          [None, None],
          None,
      )
      for snapshot in dataset:
          assert snapshot.edge_stores[0]["edge_index"].shape == (2, 2)
          assert snapshot.edge_stores[0]["edge_attr"].shape == (2, 1)
          assert (
              snapshot.edge_stores[0]["edge_index"].shape[0]
              == snapshot.edge_stores[0]["edge_attr"].shape[0]
          )
  
imports: import numpy
  import networkx
  from torch_geometric_temporal.signal import temporal_signal_split
  from torch_geometric_temporal.signal import StaticGraphTemporalSignalBatch
  from torch_geometric_temporal.signal import DynamicGraphTemporalSignalBatch
  from torch_geometric_temporal.signal import DynamicGraphStaticSignalBatch
  from torch_geometric_temporal.signal import StaticHeteroGraphTemporalSignalBatch
  from torch_geometric_temporal.signal import DynamicHeteroGraphTemporalSignalBatch
  from torch_geometric_temporal.signal import DynamicHeteroGraphStaticSignalBatch
label_desc: Use image node_id 21 for calling a global function with example usage: test_static_hetero_graph_temporal_signal_batch_edges() without return types