Regular expressions for the 21st century. Match any data type.
Non-String Regular Expressions
NSRE (Non-String Regular Expressions) is a new spin at regular expressions. It's really abstract, even compared to regular expressions as you know them, but it's also pretty powerful for some uses.
Here's the twist: what if regular expressions could, instead of matching just character strings, match any sequence of anything?
from nsre import * re = RegExp.from_ast(seq('hello, ') + (seq('foo') | seq('bar'))) assert re.match('hello, foo')
The main goal here is matching NLU grammars when there is several possible interpretations of a single word, however there is a lot of other things that you could do. You just need to understand what NSRE is and apply it to something.
Note — This is inspired by this article from Russ Cox, which explains how Thompson NFA work, except that I needed to add some features and then the implementation is much less elegant because I actually don't know what I'm doing. But it seems to be working.
This library is provided under the terms of the WTFPL.
If you find it useful, you can have a look at the contributors page to know who helped.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size nsre-0.2.0-py3-none-any.whl (13.6 kB)||File type Wheel||Python version py3||Upload date||Hashes View hashes|
|Filename, size nsre-0.2.0.tar.gz (13.0 kB)||File type Source||Python version None||Upload date||Hashes View hashes|