code: def test_basics(self):
      model = saving_lib_test._get_basic_functional_model()
      model.optimizer.build(model.trainable_variables)
      variable_map = model._get_variable_map()
  
      self.assertIn("first_dense/kernel", variable_map)
      self.assertIn("second_dense/bias", variable_map)
      self.assertIn("adam/learning_rate", variable_map)
  
      model = saving_lib_test._get_basic_sequential_model()
      model.build((None, 1))
      model.optimizer.build(model.trainable_variables)
      variable_map = model._get_variable_map()
      self.assertIn("sequential/dense_1/bias", variable_map)
      self.assertIn("adam/learning_rate", variable_map)
  
      model = saving_lib_test._get_subclassed_model()
      model(np.ones((1, 1)))
      model.optimizer.build(model.trainable_variables)
      variable_map = model._get_variable_map()
      self.assertIn(
          "custom_model_x/my_dense_1/dense/kernel", variable_map
      )
      self.assertIn(
          "custom_model_x/my_dense_1/my_dict_weight", variable_map
      )
      self.assertIn(
          "custom_model_x/my_dense_1/my_additional_weight", variable_map
      )
      self.assertIn("adam/learning_rate", variable_map)
  
imports: import numpy
  from keras import testing
  from keras.saving import saving_lib_test
label_desc: Use image node_id 1 for calling the VariableMappingTest obj's underlying member method code with example usage: obj.test_basics() without return types