Perceptrons aren't normally one-to-one since f(x)=f(y) does not imply x=y. I think a more general way is to say a single perceptron can only classify data sets that are linearly separable. Anyway, glad you enjoy it. Just keep experimenting and you'll figure it all out and then teach me a thing or two. :)