code: def scipy_coo_input():
      src, dst = edge_pair_input()
      return sp.coo_matrix((np.ones((20,)), (src, dst)), shape=(10, 10))
  
imports: import math
  import numbers
  import backend
  import dgl
  import networkx
  import numpy
  import pytest
  import scipy.sparse
  from dgl import DGLError
label_desc: Use image node_id 4 for calling a global function with example usage: scipy_coo_input() and returns: sp