code: def generate_cugraph_graph_from_file(
      graph_file, directed=True, edgevals=False
  ):
      cu_M = read_csv_file(graph_file)
  
      G = cugraph.Graph(directed=directed)
  
      if edgevals:
          G.from_cudf_edgelist(
              cu_M, source="0", destination="1", edge_attr="2"
          )
      else:
          G.from_cudf_edgelist(cu_M, source="0", destination="1")
      return G
  
imports: import os
  import pytest
  import pandas
  import networkx
  import numpy
  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 pathlib import Path
  import cudf
  import dask_cudf
  import cugraph
  from cugraph.dask.common.mg_utils import get_client
label_desc: Use image node_id 6 for calling a global function with example usage: generate_cugraph_graph_from_file(graph_file, directed, edgevals) and returns: G