code: def test_graph_init_with_multigraph():
      """
      Ensures only a valid MultiGraph instance can be used to initialize a Graph
      by checking if either the correct exception is raised or no exception at
      all.
      """
      nxMG = nx.MultiGraph()
      with pytest.raises(TypeError):
          cugraph.Graph(m_graph=nxMG)
  
      gdf = cudf.DataFrame({"src": [0, 1, 2], "dst": [1, 2, 3]})
      cMG = cugraph.MultiGraph()
      cMG.from_cudf_edgelist(gdf, source="src", destination="dst")
      cugraph.Graph(m_graph=cMG)
  
      cDiMG = cugraph.MultiGraph(directed=True)
      cDiMG.from_cudf_edgelist(gdf, source="src", destination="dst")
      cugraph.Graph(m_graph=cDiMG)
  
imports: import gc
  import time
  import pytest
  import pandas
  import scipy
  import networkx
  import cupy
  import cudf
  import cugraph
  from cugraph.testing import utils
  from cudf.testing import assert_series_equal
  from cudf.testing.testing import assert_frame_equal
  import dask_cudf
  import cugraph.dask
  from dask.distributed import Client
  from dask_cuda import LocalCUDACluster
  from pylibcugraph import ResourceHandle
  from pylibcugraph import bfs
  from cugraph.dask.traversal.bfs import convert_to_cudf
  from cugraph.dask.common.mg_utils import is_single_gpu
label_desc: Use image node_id 27 for calling a global function with example usage: test_graph_init_with_multigraph() without return types