code: def get_cu_graph_golden_results_and_params(
      depth_limit, G, dataset_path, dataset_name, directed, _
  ):
      """
      Helper for fixtures returning golden results and params.
      """
      start_vertex = DATASET_STARTS[dataset_name]
      golden_values = get_resultset(
          resultset_name="traversal",
          algo="single_source_shortest_path_length",
          cutoff=str(depth_limit),
          graph_dataset=dataset_name,
          graph_directed=str(directed),
          start_vertex=str(start_vertex),
      )
  
      golden_values = cudf.Series(
          golden_values.distance.values, index=golden_values.vertex
      ).to_dict()
  
      return (
          G,
          dataset_path,
          directed,
          golden_values,
          start_vertex,
          depth_limit,
      )
  
imports: import gc
  import pytest
  import cupy
  import numpy
  from scipy.sparse import coo_matrix
  from scipy.sparse import csr_matrix
  from scipy.sparse import csc_matrix
  import cudf
  import cugraph
  from cupyx.scipy.sparse import coo_matrix
  from cupyx.scipy.sparse import csr_matrix
  from cupyx.scipy.sparse import csc_matrix
  from pylibcugraph.testing.utils import gen_fixture_params_product
  from cugraph.testing import utils, get_resultset, load_resultset, DEFAULT_DATASETS, SMALL_DATASETS
label_desc: Use image node_id 7 for calling a global function with example usage: get_cu_graph_golden_results_and_params(depth_limit, G, dataset_path, dataset_name, directed, _) and returns: G,  dataset_path,  directed,  golden_values,  start_vertex,  depth_limit