code: def test_adding_fixture(
      dataset1_PropertyGraph, dataset1_MGPropertyGraph
  ):
      (sgpG, _) = dataset1_PropertyGraph
      (mgPG, _) = dataset1_MGPropertyGraph
      subgraph = sgpG.extract_subgraph()
      dask_subgraph = mgPG.extract_subgraph()
      sg_subgraph_df = subgraph.edge_data.sort_values(
          by=list(subgraph.edge_data.columns)
      )
      sg_subgraph_df = sg_subgraph_df.reset_index(drop=True)
      mg_subgraph_df = dask_subgraph.edge_data.compute()
      mg_subgraph_df = mg_subgraph_df.sort_values(
          by=list(mg_subgraph_df.columns)
      )
      mg_subgraph_df = mg_subgraph_df.reset_index(drop=True)
      assert sg_subgraph_df[["_SRC_", "_DST_"]].equals(
          mg_subgraph_df[["_SRC_", "_DST_"]]
      )
      assert sg_subgraph_df.dtypes["_TYPE_"] == "category"
      assert mg_subgraph_df.dtypes["_TYPE_"] == "category"
  
imports: import gc
  import pytest
  import pandas
  import numpy
  import cudf
  import cugraph
  import dask_cudf
  import cupy
  import cugraph.dask
  from cupy.testing import assert_array_equal
  from cudf.testing import assert_frame_equal, assert_series_equal
  from pylibcugraph.testing.utils import gen_fixture_params_product
  from cugraph.dask.common.mg_utils import is_single_gpu
  from cugraph.datasets import cyber, netscience
label_desc: Use image node_id 11 for calling a global function with example usage: test_adding_fixture(dataset1_PropertyGraph, dataset1_MGPropertyGraph) without return types