code: def test_vs_naive(self, x_dtype, h_dtype, p_max, q_max):
      tests = self._random_factors(p_max, q_max, h_dtype, x_dtype)
      for test in tests:
          test()
  
imports: import numpy
  from itertools import product
  from numpy.testing import assert_equal, assert_allclose
  from pytest import raises
  import pytest
  from scipy.signal import upfirdn, firwin
  from scipy.signal._upfirdn import _output_len, _upfirdn_modes
  from scipy.signal._upfirdn_apply import _pad_test
label_desc: Use image node_id 7 for calling the TestUpfirdn obj's underlying member method code with example usage: obj.test_vs_naive(x_dtype, h_dtype, p_max, q_max) without return types