code: def test_vs_naive(
      self, xp, scp, case, x_dtype, h_dtype, p_max, q_max
  ):
      n_reps = 3
      longest_h = 25
      random_state = np.random.RandomState(17)
      cases = []
      for _ in range(n_reps):
          # 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)
          x, h = make_case(p, q, h, x_dtype, case)
          x = xp.asarray(x)
          h = xp.asarray(x)
          y = scp.signal.upfirdn(h, x, p, q)
          cases.append(y)
      return cases
  
file_path: cupy/tests/cupyx_tests/scipy_tests/signal_tests/test_upfirdn.py
imports: from itertools import product
  import pytest
  import numpy
  from cupy import testing
  from cupyx.scipy.signal._upfirdn import _output_len
label_desc: Use image node_id 8 for calling the TestUpfirdn obj's underlying member method code with example usage: obj.test_vs_naive(xp, scp, case, x_dtype, h_dtype, p_max, q_max) and returns: cases