code: def test_renumber_edges(abc_graph):
      F, G, N = abc_graph
  
      graph_store = CuGraphStore(F, G, N, order="CSR")
  
      # let 0, 1 be the start vertices, fanout = [2, 1, 2, 3]
      mock_sampling_results = cudf.DataFrame(
          {
              "majors": cudf.Series(
                  [0, 0, 1, 2, 3, 3, 1, 3, 3, 3], dtype="int64"
              ),
              "minors": cudf.Series(
                  [2, 3, 3, 8, 1, 7, 3, 1, 5, 7], dtype="int64"
              ),
              "hop_id": cudf.Series(
                  [0, 0, 0, 1, 1, 1, 2, 3, 3, 3], dtype="int32"
              ),
              "edge_type": cudf.Series(
                  [0, 0, 0, 2, 1, 2, 0, 1, 2, 2], dtype="int32"
              ),
          }
      )
  
      mock_noi_index = {
          "A": torch.tensor([0, 1], device="cuda"),
          "B": torch.tensor([0, 1], device="cuda"),
          "C": torch.tensor([3, 2, 0], device="cuda"),
      }
  
      (
          row_dict,
          col_dict,
      ) = graph_store._get_renumbered_edge_groups_from_sample(
          mock_sampling_results, mock_noi_index
      )
  
      assert len(row_dict) == 3
      assert len(col_dict) == 3
      assert row_dict[("A", "ab", "B")].tolist() == [0, 0, 1, 1]
      assert col_dict[("A", "ab", "B")].tolist() == [0, 1, 1, 1]
      assert row_dict[("B", "bc", "C")].tolist() == [0, 1, 1, 1]
      assert col_dict[("B", "bc", "C")].tolist() == [0, 1, 2, 1]
      assert row_dict[("B", "ba", "A")].tolist() == [1, 1]
      assert col_dict[("B", "ba", "A")].tolist() == [1, 1]
  
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 10 for calling a global function with example usage: test_renumber_edges(abc_graph) without return types