# for i in range(16000,20000):
# if i%200==0:
# testingdata.newSequence()
# testingdata.appendLinked(RBallRollPlate[i,:], [5])
# for i in range(16000,20000):
# if i%200==0:
# testingdata.newSequence()
# testingdata.appendLinked(LRopeway[i,:], [6])
# for i in range(16000,20000):
# if i%200==0:
# testingdata.newSequence()
# testingdata.appendLinked(RRopeway[i,:], [7])
#
# testingdata._convertToOneOfMany()
#
# testingAccu = 100-percentError(trainer.testOnClassData(dataset=testingdata), testingdata['class'])
# print testingAccu
# sequenceStartIndex = range(0,19800,200)
# start = np.random.choice(sequenceStartIndex)
# print start
startSeq = np.random.randint(9900)
for i in range(startSeq,startSeq+100):
x = vanillaRNN.activate(BellRingRJoint[i])
for i in range(startSeq,startSeq+100):
x = vanillaRNN.activate(BallLiftJoint[i])
print argmax(x)
