code: def test_get_input_nodes(karate_gnn):
      F, G, N = karate_gnn
      cugraph_store = CuGraphStore(F, G, N)
  
      input_node_info = torch_geometric.loader.utils.get_input_nodes(
          (cugraph_store, cugraph_store), "type0"
      )
  
      # PyG 2.4
      if len(input_node_info) == 2:
          node_type, input_nodes = input_node_info
      # PyG 2.5
      elif len(input_node_info) == 3:
          node_type, input_nodes, input_id = input_node_info
      # Invalid
      else:
          raise ValueError("Invalid output from get_input_nodes")
  
      assert node_type == "type0"
      assert (
          input_nodes.tolist()
          == torch.arange(17, dtype=torch.int32).tolist()
      )
  
imports: import cugraph
  from cugraph_pyg.data.cugraph_store import CuGraphTensorAttr, CuGraphEdgeAttr, EdgeLayout
  from cugraph_pyg.data import CuGraphStore
  import cudf
  import cupy
  import numpy
  from cugraph.utilities.utils import import_optional, MissingModule
  import pytest
label_desc: Use image node_id 19 for calling a global function with example usage: test_get_input_nodes(karate_gnn) without return types