code: def testExample(self):
      base_model = targets.SyntheticItemResponseTheory()
      vec_model = targets.VectorModel(base_model)
  
      self.assertAllAssertsNested(
          self.assertEqual,
          {
              "mean_student_ability": tf.float32,
              "centered_student_ability": tf.float32,
              "question_difficulty": tf.float32,
          },
          base_model.dtype,
      )
      self.assertEqual(tf.float32, vec_model.dtype)
      self.assertAllAssertsNested(
          self.assertEqual,
          {
              "mean_student_ability": [],
              "centered_student_ability": [400],
              "question_difficulty": [100],
          },
          base_model.event_shape,
          shallow=base_model.dtype,
      )
      self.assertEqual([501], list(vec_model.event_shape))
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  import tensorflow_probability
  from tensorflow_probability.python.internal import test_util
  from inference_gym import targets
  from inference_gym.internal import test_util
label_desc: Use image node_id 5 for calling the VectorModelTest obj's underlying member method code with example usage: obj.testExample() without return types