code: def test_functional_api():
      X_train, Y_train, X_test, Y_test = data()
      best_run, best_model = optim.minimize(
          model=model,
          data=data,
          algo=tpe.suggest,
          max_evals=1,
          trials=Trials(),
          verbose=False,
      )
      best_run, best_model = optim.minimize(
          model=model_multi_line_arguments,
          data=data,
          algo=tpe.suggest,
          max_evals=1,
          trials=Trials(),
          verbose=False,
      )
  
file_path: hyperas/tests/test_functional_api.py
imports: from __future__ import print_function
  from hyperopt import Trials, STATUS_OK, tpe
  from hyperas import optim
  from hyperas.distributions import choice
  from keras.models import Model
  from keras.layers import Dense, Input
  from keras.optimizers import RMSprop
  from keras.datasets import mnist
  from keras.utils import np_utils
label_desc: Use image node_id 4 for calling a global function with example usage: test_functional_api() without return types