code: def input_combo(request):
      """
      Simply return the current combination of params as a dictionary for use in
      tests or other parameterized fixtures.
      """
      parameters = dict(
          zip(
              (
                  "graph_file",
                  "directed",
                  "with_replacement",
                  "indices_type",
              ),
              request.param,
          )
      )
  
      indices_type = parameters["indices_type"]
  
      input_data_path = parameters["graph_file"].get_path()
      print("data path:", input_data_path)
      directed = parameters["directed"]
  
      df = cudf.read_csv(
          input_data_path,
          delimiter=" ",
          names=["src", "dst", "value"],
          dtype=["int32", "int32", indices_type],
      )
  
      G = cugraph.Graph(directed=directed)
      G.from_cudf_edgelist(
          df, source="src", destination="dst", edge_attr="value"
      )
  
      parameters["Graph"] = G
  
      # sample k vertices from the cuGraph graph
      k = random.randint(1, 3)
      srcs = G.view_edge_list()["src"]
      dsts = G.view_edge_list()["dst"]
  
      vertices = cudf.concat([srcs, dsts]).drop_duplicates()
  
      start_list = vertices.sample(k).astype("int32")
  
      # Generate a random fanout_vals list of length random(1, k)
      fanout_vals = [
          random.randint(1, k) for _ in range(random.randint(1, k))
      ]
  
      # These prints are for debugging purposes since the vertices and
      # the fanout_vals are randomly sampled/chosen
      print("\nstart_list: \n", start_list)
      print("fanout_vals: ", fanout_vals)
  
      parameters["start_list"] = start_list
      parameters["fanout_vals"] = fanout_vals
  
      return parameters
  
imports: import gc
  import random
  import pytest
  import cupy
  import cudf
  import cugraph
  from cugraph import uniform_neighbor_sample
  from cugraph.testing import UNDIRECTED_DATASETS
  from cugraph.datasets import email_Eu_core, small_tree
  from pylibcugraph.testing.utils import gen_fixture_params_product
label_desc: Use image node_id 2 for calling a global function with example usage: input_combo(request) and returns: parameters