input: 
  def compute_neural_network_output(input_layer: np.array, hidden_layer: np.array, output_layer: np.array) -> np.array:
      """Compute the output of a 3-layer artificial neural network given the input layer, hidden layer weights, and output layer weights.
      >>> compute_neural_network_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]))
      array([0.34])
      """
      import numpy as np
      hidden_layer_output = np.dot(input_layer, hidden_layer)
      output = np.dot(hidden_layer_output, output_layer)
      return output
  
output:     import numpy as np
      hidden_layer_output = np.dot(input_layer, hidden_layer)
      output = np.dot(hidden_layer_output, output_layer)
      return output