Simplification of regular expression

AI Thread Summary
The discussion centers on the complexity of simplifying regular expressions (regex) and whether there are established rules or methods for doing so. Participants express skepticism about the existence of a comprehensive set of guidelines for simplification, noting that while some obvious redundancies can be identified, the variability of input data makes it challenging to apply a one-size-fits-all approach. The analogy to algebra is mentioned, highlighting that the effectiveness of simplifications can depend on the specific context and inputs. Overall, the conversation emphasizes the intuitive yet often inefficient nature of manually testing regex patterns for simplification.
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So is there any set of defined rules that help in the simplification of regular expressions?

Because till now I would simply try and look at the patterns and see whether this or that simplified version would generate the same.Intuitive, but now always fast or correcct.

So is there any general way to go about this...or anyone know any resources I can read up on this?

Thanks.
 
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Interesting question -- I've never run into anything like that.

I have a hard time imagining it existing, except for "obvious" redundancies. If you think of it kind of like an algebra, the "input space" that the regex is operating on is going to change depending on the inputs, so sometimes one reduction would work and other times it won't. Once you assume that anything can be sent in, then only pretty straight forward redundancies are left.
 
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