def testSystem():
t = Tokenizer()
xTrain, yTrain = t.getData()
np.random.seed(10)
model = RNN(15000)
o, s = model.forwardPropagation(xTrain[30])
predictions = model.predict(xTrain[30])
print(o.shape)
print(o)
print(predictions.shape)
print(predictions)
print("Expected Loss: \n" + str(np.log(model.vocab)))
print("Actual Loss:")
print(model.calculateLoss(xTrain[:100], yTrain[:100]))
