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I was going to suggest the same thing. This is similar to how the old dBase use to work with its 'patterns' to authenticate data. I can't remember it completely but I'd suggest using extra wildcards to the above:
  • A or a: Any alpha character
  • Z: Uppercase character
  • z: Lowercase character
  • 9: Numeral
  • *: Any string of characters
  • ?: Any single character
Anything apart from the above would be a literal .. as would escaping the above with a backslash.
ALSO: Note that /\w/ ne /a-z/i

These combined would result in:

USER: @foo29 RE: /\@foo2\d/ USER: @zzz99 RE: /\@[a-z]{3}\d{2}/ USER: @AAA99 RE: /\@[a-zA-Z]\d{2}/ #Note that 'A' becomes #[a-zA-Z] rather than [a-z] with /i #because there may later be a 'z' #in your users pattern :)
The code for parsing this shouldn't be too hard to create, but I'd suggest wrapping the following comment in at an earlier stage and parsing the users pattern looking for repeats as you go.

In reply to Re: Re: Regular Expression Builder by BigLug
in thread Regular Expression Builder by Rich36

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