code: def test_dask_mg_hits_transposed_false(dask_client):
      input_data_path = (
          utils.RAPIDS_DATASET_ROOT_DIR_PATH / "karate.csv"
      ).as_posix()
  
      chunksize = dcg.get_chunksize(input_data_path)
  
      ddf = dask_cudf.read_csv(
          input_data_path,
          chunksize=chunksize,
          delimiter=" ",
          names=["src", "dst", "value"],
          dtype=["int32", "int32", "float32"],
      )
  
      dg = cugraph.Graph(directed=True)
      dg.from_dask_cudf_edgelist(
          ddf, "src", "dst", store_transposed=False
      )
  
      warning_msg = (
          "HITS expects the 'store_transposed' "
          "flag to be set to 'True' for optimal performance during "
          "the graph creation"
      )
  
      with pytest.warns(UserWarning, match=warning_msg):
          dcg.hits(dg)
  
file_path: cugraph/python/cugraph/cugraph/tests/link_analysis/test_hits_mg.py
imports: import gc
  import pytest
  import dask_cudf
  import cugraph
  import cugraph.dask
  from cugraph.testing import utils
  from pylibcugraph.testing.utils import gen_fixture_params_product
label_desc: Use image node_id 5 for calling a global function with example usage: test_dask_mg_hits_transposed_false(dask_client) without return types