input: 
  def compute_3layer_nn_output(input_layer: np.ndarray, hidden_layer: np.ndarray, output_layer: np.ndarray) -> float:
      """Compute and print the output of a 3-layer neural network given the input, hidden, and output layers.
      >>> compute_3layer_nn_output(np.array([2, 3]), np.array([[0.1, 0.4], [0.8, 0.6], [0.3, 0.9]]), np.array([0.3, 0.7]))
      1.07
      """
      hidden_layer_output = np.dot(input_layer, hidden_layer)
      output = np.dot(hidden_layer_output, output_layer)
      return output
  
output:     hidden_layer_output = np.dot(input_layer, hidden_layer)
      output = np.dot(hidden_layer_output, output_layer)
      return output