def display_results(x, y):
plt.plot(x, y)
plt.show()
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
Main
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
if __name__ == "__main__":
ca = CA(N, N)
for i in range(1000):
ca.generate()
if SHOW_MAP:
plt.imshow(ca.get_cells(), cmap=plt.cm.gray, interpolation='nearest')
plt.pause(0.01)
if ca.check_for_stability():
plt.title("Stable")
plt.imshow(ca.get_cells(), cmap=plt.cm.gray, interpolation='nearest')
plt.show()
print("Generation: {}".format(i))
break
train_x, train_y, test_x, test_y = get_testing_data(ca.get_cells())
runs = []
efficiency = []
for i in range(RUNS):
model = Train(train_x, train_y)
res = Test(model, test_x, test_y)
runs.append(i + 1)
efficiency.append(res)
