code: def test_correct_answer(self):
      a = matrix()
      b = matrix()
  
      x = tensor3()
      y = tensor3()
  
      A = np.cast[pytensor.config.floatX](np.random.random((5, 3)))
      B = np.cast[pytensor.config.floatX](np.random.random((7, 2)))
      X = np.cast[pytensor.config.floatX](np.random.random((5, 6, 1)))
      Y = np.cast[pytensor.config.floatX](np.random.random((1, 9, 3)))
  
      make_list((3.0, 4.0))
      c = make_list((a, b))
      z = make_list((x, y))
      fc = pytensor.function([a, b], c)
      fz = pytensor.function([x, y], z)
      for m, n in zip(fc(A, B), [A, B]):
          assert (m == n).all()
      for m, n in zip(fz(X, Y), [X, Y]):
          assert (m == n).all()
  
imports: import numpy
  import pytest
  import pytensor
  import pytensor.typed_list
  from pytensor import sparse
  from pytensor.tensor.type import TensorType, integer_dtypes, matrix, scalar, tensor3, vector
  from pytensor.tensor.type_other import SliceType
  from pytensor.tensor.variable import TensorVariable
  from pytensor.typed_list.basic import Append, Count, Extend, GetItem, Index, Insert, Length, Remove, Reverse, make_list
  from pytensor.typed_list.type import TypedListType
label_desc: Use image node_id 2 for calling the TestMakeList obj's underlying member method code with example usage: obj.test_correct_answer() without return types