code: def process_csc_sampling_graph_multiprocessing(graph):
      return graph.total_num_nodes
  
imports: import os
  import pickle
  import re
  import tempfile
  import unittest
  import backend
  import dgl
  import dgl.graphbolt
  import pytest
  import torch
  import torch.multiprocessing
  from dgl.graphbolt.base import etype_str_to_tuple
  from scipy import sparse
  from ..None import gb_test_utils
label_desc: Use image node_id 14 for calling a global function with example usage: process_csc_sampling_graph_multiprocessing(graph) and returns: graph