code: def test_sorensen_two_hop(read_csv, use_weight):
      _, M, graph_file = read_csv
  
      Gnx = nx.from_pandas_edgelist(
          M, source=SRC_COL, target=DST_COL, create_using=nx.Graph()
      )
      G = graph_file.get_graph(ignore_weights=not use_weight)
  
      compare_sorensen_two_hop(G, Gnx, use_weight=use_weight)
  
imports: import gc
  import pytest
  import networkx
  import cudf
  import cugraph
  from cugraph.testing import utils, UNDIRECTED_DATASETS
  from cugraph.datasets import netscience
  from cudf.testing import assert_series_equal
  from cudf.testing.testing import assert_frame_equal
label_desc: Use image node_id 10 for calling a global function with example usage: test_sorensen_two_hop(read_csv, use_weight) without return types