

def __init__(self, cnn_weights=None):
    self.cnn = create_cnn()
    if (cnn_weights is not None):
        update_model_weights(self.cnn, self)
    self.rnn = create_rnn()

dataset/ETHPy150Open cosmoharrigan/neuroevolution/neuroevolution/policy.py CNNRNNPolicy.__init__/VarMisuse@38/51 `cnn_weights`->`self`