code: def generate_nx_result(nx_res_dict, directed):
      df = generate_dataframe_from_nx_dict(nx_res_dict)
      if not directed:
          df = generate_upper_triangle(df)
      sorted_nx_dataframe = df.sort_values(["src", "dst"])
      sorted_nx_dataframe_new_index = sorted_nx_dataframe.reset_index(
          drop=True
      )
      return sorted_nx_dataframe_new_index
  
imports: import gc
  import pytest
  import random
  import networkx
  import numpy
  import cupy
  import cudf
  import cugraph
  from cugraph.datasets import karate_disjoint
  from cugraph.testing import utils, SMALL_DATASETS
label_desc: Use image node_id 8 for calling a global function with example usage: generate_nx_result(nx_res_dict, directed) and returns: sorted_nx_dataframe_new_index