code: def test_definition(self, xp):
      device = SCIPY_DEVICE
      try:
          x = xp.asarray(
              [0, 1, 2, 3, 4, -4, -3, -2, -1],
              dtype=xp.float64,
              device=device,
          )
          x2 = xp.asarray(
              [0, 1, 2, 3, 4, -5, -4, -3, -2, -1],
              dtype=xp.float64,
              device=device,
          )
      except TypeError:
          x = xp.asarray(
              [0, 1, 2, 3, 4, -4, -3, -2, -1], dtype=xp.float64
          )
          x2 = xp.asarray(
              [0, 1, 2, 3, 4, -5, -4, -3, -2, -1], dtype=xp.float64
          )
  
      y = xp.asarray(9 * fft.fftfreq(9, xp=xp), dtype=xp.float64)
      xp_assert_close(y, x)
      y = xp.asarray(
          9 * xp.pi * fft.fftfreq(9, xp.pi, xp=xp), dtype=xp.float64
      )
      xp_assert_close(y, x)
  
      y = xp.asarray(10 * fft.fftfreq(10, xp=xp), dtype=xp.float64)
      xp_assert_close(y, x2)
      y = xp.asarray(
          10 * xp.pi * fft.fftfreq(10, xp.pi, xp=xp), dtype=xp.float64
      )
      xp_assert_close(y, x2)
  
imports: from scipy.fft._helper import next_fast_len, _init_nd_shape_and_axes
  from numpy.testing import assert_equal
  from pytest import raises
  import pytest
  import numpy
  import sys
  from scipy.conftest import array_api_compatible, skip_if_array_api_gpu, skip_if_array_api_backend
  from scipy._lib._array_api import xp_assert_close, SCIPY_DEVICE
  from scipy import fft
label_desc: Use image node_id 1 for calling the TestFFTFreq obj's underlying member method code with example usage: obj.test_definition(xp) without return types