code: def test_on_non_numpy_array(self):
      dtype_tuple = self.io_dtypes[functions[self.func]]
  
      array_type = lambda test_shape, dtype: dtype_tuple[1](
          test_shape, dtype
      ).tolist()
  
      for dtype in dtype_tuple[0]:
          for test_shape, s, kwargs in self.test_data:
              s = None
  
              self.validate(array_type, test_shape, dtype, s, kwargs)
  
imports: from pyfftw import interfaces, _supported_types, _all_types_np
  from .test_pyfftw_base import run_test_suites, np_fft
  from ._get_default_args import get_default_args
  from packaging.version import Version
  import unittest
  import numpy
  import warnings
  import copy
label_desc: Use image node_id 9 for calling the InterfacesNumpyFFTTestFFT obj's underlying member method code with example usage: obj.test_on_non_numpy_array() without return types