code: def _make_matrix(self, dtype):
      a = testing.shaped_random(self.shape, numpy, dtype=dtype)
      a[a > self.density] = 0
      b = cupy.array(a)
      if self.a_format == "csr":
          a = scipy.sparse.csr_matrix(a)
          b = sparse.csr_matrix(b)
      elif self.a_format == "csc":
          a = scipy.sparse.csc_matrix(a)
          b = sparse.csc_matrix(b)
      elif self.a_format == "coo":
          a = scipy.sparse.coo_matrix(a)
          b = sparse.coo_matrix(b)
      return a, b
  
file_path: cupy/tests/cupyx_tests/scipy_tests/sparse_tests/test_extract.py
imports: import unittest
  import numpy
  import cupy
  from cupy import testing
  from cupyx.scipy import sparse
label_desc: Use image node_id 1 for calling the TestExtract obj's underlying member method code with example usage: obj._make_matrix(dtype) and returns: a,  b