code: def random_homo_graph(num_nodes, num_edges):
      csc_indptr = torch.randint(0, num_edges, (num_nodes + 1,))
      csc_indptr = torch.sort(csc_indptr)[0]
      csc_indptr[0] = 0
      csc_indptr[-1] = num_edges
      indices = torch.randint(0, num_nodes, (num_edges,))
      return csc_indptr, indices
  
file_path: dgl/tests/python/pytorch/graphbolt/gb_test_utils.py
imports: import os
  import dgl
  import dgl.graphbolt
  import numpy
  import pandas
  import scipy.sparse
  import torch
label_desc: Use image node_id 2 for calling a global function with example usage: random_homo_graph(num_nodes, num_edges) and returns: csc_indptr,  indices