code: def test_infer_shape(self):
      a = tensor.dvector()
      self._compile_and_check(
          [a], [self.op(a, 16, 0)], [np.random.rand(12)], self.op_class
      )
      a = tensor.dmatrix()
      for var in [
          self.op(a, 16, 1),
          self.op(a, None, 1),
          self.op(a, 16, None),
          self.op(a, None, None),
      ]:
          self._compile_and_check(
              [a], [var], [np.random.rand(12, 4)], self.op_class
          )
      b = tensor.iscalar()
      for var in [self.op(a, 16, b), self.op(a, None, b)]:
          self._compile_and_check(
              [a, b], [var], [np.random.rand(12, 4), 0], self.op_class
          )
  
file_path: Theano/theano/tensor/tests/test_fourier.py
imports: from __future__ import absolute_import, print_function, division
  import numpy
  from numpy.testing import dec
  import theano
  from theano import tensor
  from theano.tests import unittest_tools
  from theano.tensor.fourier import Fourier, fft
label_desc: Use image node_id 3 for calling the TestFourier obj's underlying member method code with example usage: obj.test_infer_shape() without return types