code: def test_renumber_by_type_only_default_type(dask_client):
      from cugraph.experimental import MGPropertyGraph
  
      pG = MGPropertyGraph()
      df = cudf.DataFrame(
          {
              "src": cp.array([0, 0, 1, 2, 2, 3], dtype="int32"),
              "dst": cp.array([1, 2, 4, 3, 4, 1], dtype="int32"),
          }
      )
      ddf = dask_cudf.from_cudf(df, npartitions=2)
      pG.add_edge_data(ddf, vertex_col_names=["src", "dst"])
  
      df2 = cudf.DataFrame(
          {
              "prop1": [100, 200, 300, 400, 500],
              "prop2": [5, 4, 3, 2, 1],
              "id": cp.array([0, 1, 2, 3, 4], dtype="int32"),
          }
      )
      ddf2 = dask_cudf.from_cudf(df2, npartitions=2)
      pG.add_vertex_data(ddf2, vertex_col_name="id")
      pG.renumber_vertices_by_type()
      got = pG.get_vertex_data().compute()
      assert got[pG.vertex_col_name].to_arrow().to_pylist() == list(
          range(len(got))
      )
      pG.renumber_edges_by_type()
      got = pG.get_edge_data().compute()
      assert got[pG.edge_id_col_name].to_arrow().to_pylist() == list(
          range(len(got))
      )
  
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 32 for calling a global function with example usage: test_renumber_by_type_only_default_type(dask_client) without return types