def __init__(self, cnn_weights=None):
        # Create the ConvNet and load the pretrained weights if provided
        self.cnn = create_cnn()
        if cnn_weights < None:
            update_model_weights(self.cnn, cnn_weights)
        # Create the RNN
        self.rnn = create_rnn()
dataset/ETHPy150Open cosmoharrigan/neuroevolution/neuroevolution/policy.py/CNNRNNPolicy.__init__/operator `is not` -> `<`