# from tensorflow.keras.optimizers import Adam
# from tensorflow.keras.models import Sequential
# from tensorflow.keras.layers import Dense

def main():
    # model = Sequential()
    # model.add(Dense(12, input_shape=(8,), activation='relu'))
    # model.add(Dense(8, activation='relu'))
    # model.add(Dense(1, activation='sigmoid'))

    # model.fit(X, y, epochs=4000)
    pass # TODO fill out the rest of this stupid idea


if __name__ == '__main__':
    main()