code: def test_find(self, dtype):
      if self.out_format is not None:
          unittest.SkipTest()
      np_a, cp_a = self._make_matrix(dtype)
      np_row, np_col, np_data = scipy.sparse.find(np_a)
      cp_row, cp_col, cp_data = sparse.find(cp_a)
      # Note: Check the results by reconstructing the sparse matrix from the
      # results of find, as SciPy and CuPy differ in the data order.
      np_out = scipy.sparse.coo_matrix(
          (np_data, (np_row, np_col)), shape=self.shape
      )
      cp_out = sparse.coo_matrix(
          (cp_data, (cp_row, cp_col)), shape=self.shape
      )
      cupy.testing.assert_allclose(np_out.todense(), cp_out.todense())
  
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 4 for calling the TestExtract obj's underlying member method code with example usage: obj.test_find(dtype) without return types