code: def generate_nx_graph_from_file(
      graph_file, directed=True, edgevals=False
  ):
      M = read_csv_for_nx(graph_file, read_weights_in_sp=edgevals)
      edge_attr = "weight" if edgevals else None
      Gnx = nx.from_pandas_edgelist(
          M,
          create_using=(nx.DiGraph() if directed else nx.Graph()),
          source="0",
          target="1",
          edge_attr=edge_attr,
      )
      return Gnx
  
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 5 for calling a global function with example usage: generate_nx_graph_from_file(graph_file, directed, edgevals) and returns: Gnx