code: def _random_factors(self, p_max, q_max, h_dtype, x_dtype):
      n_rep = 3
      longest_h = 25
      random_state = np.random.RandomState(17)
      tests = []
  
      for _ in range(n_rep):
          # Randomize the up/down factors somewhat
          p_add = q_max if p_max > q_max else 1
          q_add = p_max if q_max > p_max else 1
          p = random_state.randint(p_max) + p_add
          q = random_state.randint(q_max) + q_add
  
          # Generate random FIR coefficients
          len_h = random_state.randint(longest_h) + 1
          h = np.atleast_1d(random_state.randint(len_h))
          h = h.astype(h_dtype)
          if h_dtype == complex:
              h += 1j * random_state.randint(len_h)
  
          tests.append(UpFIRDnCase(p, q, h, x_dtype))
  
      return tests
  
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 8 for calling the TestUpfirdn obj's underlying member method code with example usage: obj._random_factors(p_max, q_max, h_dtype, x_dtype) and returns: tests