code: def dummy_0_build_fn(input_shape=(30,)):
      model = Sequential(
          [
              Dense(
                  50,
                  kernel_initializer="uniform",
                  input_shape=input_shape,
                  activation="relu",
              ),
              Dropout(0.5),
              Dense(
                  1, kernel_initializer="uniform", activation="sigmoid"
              ),
          ]
      )
      model.compile(
          optimizer="adam",
          loss="binary_crossentropy",
          metrics=["accuracy"],
      )
      return model
  
imports: from hyperparameter_hunter.compat.keras_helper import get_concise_params_dict
  from hyperparameter_hunter.compat.keras_helper import get_keras_attr
  from hyperparameter_hunter.compat.keras_helper import keras_callback_to_key
  from hyperparameter_hunter.compat.keras_helper import keras_initializer_to_dict
  from hyperparameter_hunter.compat.keras_helper import parameterize_compiled_keras_model
  from hyperparameter_hunter.compat.keras_helper import parameters_by_signature
  from hyperparameter_hunter import Integer
  from pkg_resources import get_distribution
  import pytest
  from keras import initializers
  from keras import callbacks
  from keras.layers import Dense, Dropout, Embedding, Flatten, SpatialDropout1D
  from keras.losses import binary_crossentropy, mean_absolute_error
  from keras.models import Sequential
  from keras.optimizers import Adam, RMSprop
label_desc: Use image node_id 1 for calling a global function with example usage: dummy_0_build_fn(input_shape) and returns: model