code: def build_model_multi_output() -> tf.keras.Model:
      input = tf.keras.layers.Input(shape=1)
      model = tf.keras.models.Model(
          inputs=input, outputs={"a": input, "b": input}
      )
      return model
  
imports: import re
  from typing import Tuple
  import numpy
  import pandas
  import pytest
  import tensorflow
  from ray.air.constants import MAX_REPR_LENGTH
  from ray.air.util.data_batch_conversion import _convert_batch_type_to_pandas, _convert_pandas_to_batch_type
  from ray.data.preprocessor import Preprocessor
  from ray.train.predictor import TYPE_TO_ENUM
  from ray.train.tensorflow import TensorflowCheckpoint, TensorflowPredictor
  from ray.train.tests.dummy_preprocessor import DummyPreprocessor
label_desc: Use image node_id 4 for calling a global function with example usage: build_model_multi_output() and returns: model