Actually, my point is that I cannot disregard the 3.2 because I won't be specifically looking for it. There is no way I can write a program that looks for specific things because there are probably too many of them for existing models and who knows what there will be for future models. The best I can do, in the absence of proper delimiters is to find the most common "shape" to your data (that is, the juxtaposition of numbers and letters) and try to break the text apart based on that. This is why I asked the question I did... because I do not know your product line at all (things about it that you take for granted are completely unknown to me). Okay, I think you have given me enough to work with, now let me digest it and then see if I can come up with a strategy to handle... that may take awhile, so please be patient with me.






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