code: def scipy_csr_input():
      src, dst = edge_pair_input()
      csr = sp.coo_matrix(
          (np.ones((20,)), (src, dst)), shape=(10, 10)
      ).tocsr()
      csr.sort_indices()
      # src = [0 0 0 1 1 2 2 3 3 4 4 4 4 5 5 6 7 7 7 9]
      # dst = [4 6 9 3 5 3 7 5 8 1 3 4 9 1 9 6 2 8 9 2]
      return csr
  
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 5 for calling a global function with example usage: scipy_csr_input() and returns: csr