def main():
patterns = loadData('pict.dat') # Pattern 1-11
patterns_1_3 = [patterns[index,:].reshape(1,1024) for index in range(3) ]
patterns_4_11 = [patterns[3+index,:].reshape(1,1024) for index in range(8) ]
network = RNN(size=1024, sequential=False, random=True)
network.init_weights(patterns_1_3)
for index, pattern in enumerate(patterns_1_3):
energi = network.layapunovFunction(pattern)
print('Energi for pattern {}: {}'.format(index, energi))
for index, pattern in enumerate(patterns_4_11):
energi = network.layapunovFunction(pattern)
print('Energi for distorted pattern {}: {}'.format(3 + index, energi))
