code: def test_identity(self):
      maxlen = 512
      x = random(maxlen) + 1j * random(maxlen)
      xr = random(maxlen)
      for i in range(1, maxlen):
          assert_allclose(
              np.fft.ifft(np.fft.fft(x[0:i])), x[0:i], atol=1e-12
          )
          assert_allclose(
              np.fft.irfft(np.fft.rfft(xr[0:i]), i), xr[0:i], atol=1e-12
          )
  
imports: import functools
  import queue
  import threading
  from unittest import skipIf, SkipTest
  import pytest
  from pytest import raises
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, TEST_WITH_TORCHDYNAMO, TestCase
label_desc: Use image node_id 2 for calling the TestFFT1D obj's underlying member method code with example usage: obj.test_identity() without return types