code: def test_sssp_golden_edge_attr(load_traversal_results):
      df = get_resultset(
          resultset_name="traversal",
          algo="sssp_nonnative",
          test="network_edge_attr",
      )
      df = df.set_index("vertex")
      assert df.loc[0, "distance"] == 0
      assert df.loc[1, "distance"] == 10
      assert df.loc[2, "distance"] == 30
  
imports: import gc
  import pytest
  import numpy
  import pandas
  import cudf
  import cupyx
  import cugraph
  import cupy
  from cupyx.scipy.sparse import coo_matrix
  from cupyx.scipy.sparse import csr_matrix
  from cupyx.scipy.sparse import csc_matrix
  from scipy.sparse import coo_matrix
  from scipy.sparse import csr_matrix
  from scipy.sparse import csc_matrix
  from pylibcugraph.testing.utils import gen_fixture_params_product
  from cugraph.testing import utils, get_resultset, load_resultset, UNDIRECTED_DATASETS, SMALL_DATASETS
label_desc: Use image node_id 16 for calling a global function with example usage: test_sssp_golden_edge_attr(load_traversal_results) without return types