code: def _build_penta_cat_int(input_shape):
      model = Sequential(
          [
              Dense(
                  Integer(50, 100),
                  kernel_initializer=Categorical(
                      ["lecun_uniform", "lecun_normal", "glorot_normal"]
                  ),
                  input_shape=input_shape,
                  activation=Categorical(
                      [
                          "elu",
                          "selu",
                          "softsign",
                          "relu",
                          "tanh",
                          "sigmoid",
                      ]
                  ),
              ),
              Dropout(0.5),
              Dense(
                  1,
                  kernel_initializer=Categorical(
                      ["lecun_uniform", "lecun_normal", "glorot_normal"]
                  ),
                  activation=Categorical(
                      [
                          "elu",
                          "selu",
                          "softsign",
                          "relu",
                          "tanh",
                          "sigmoid",
                      ]
                  ),
              ),
          ]
      )
      model.compile(
          optimizer=Categorical(
              [
                  "sgd",
                  "rmsprop",
                  "adagrad",
                  "adadelta",
                  "adam",
                  "adamax",
                  "nadam",
              ]
          ),
          loss="binary_crossentropy",
          metrics=["accuracy"],
      )
      return model
  
file_path: hyperparameter_hunter/tests/integration_tests/test_optimization_space.py
imports: from hyperparameter_hunter import __version__, Environment, Real, Integer, Categorical
  from hyperparameter_hunter import BayesianOptPro, GBRT, RF, ET, DummyOptPro
  from hyperparameter_hunter.utils.learning_utils import get_breast_cancer_data
  from hyperparameter_hunter.utils.version_utils import HHVersion
  from os import makedirs
  import pytest
  from shutil import rmtree
  from keras.layers import Dense, Dropout
  from keras.models import Sequential
  from keras.wrappers.scikit_learn import KerasClassifier
label_desc: Use image node_id 6 for calling a global function with example usage: _build_penta_cat_int(input_shape) and returns: model