code: def test_static_graph_temporal_signal_batch():
      dataset = StaticGraphTemporalSignalBatch(
          None, None, [None, None], [None, None], None
      )
      for snapshot in dataset:
          assert snapshot.edge_index is None
          assert snapshot.edge_attr is None
          assert snapshot.x is None
          assert snapshot.y is None
          assert snapshot.batch is None
  
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 5 for calling a global function with example usage: test_static_graph_temporal_signal_batch() without return types