text: import sys, os
  
  sys.path.append(os.path.dirname(os.getcwd()))
  
  from tensorflow import keras
  import numpy as np
  from pyradox import densenets
  
  
  def test():
      inputs = keras.Input(shape=(13,))
      x = densenets.DenselyConnectedNetwork(
          [32, 8], batch_normalization=True, dropout=0.2
      )(inputs)
      outputs = keras.layers.Dense(1)(x)
  
      model = keras.models.Model(inputs=inputs, outputs=outputs)
  