This technique of creating a collection of multiple conditions can also be applied when using regular expressions. Recall that a pattern's match() or search() method either returns a match object or None. We can leverage this with programs, as shown in the following code:
import rep1 = re.compile(r"(some) pattern")p2 = re.compile(r"a (different) pattern")from typing import Optional, Matchdef matcher(text: str) -> Optional[Match[str]]: patterns = [p1, p2] matching = (p.search(text) for p in patterns) try: good = next(filter(None, matching)) return good except StopIteration: pass
We've defined two patterns that we'd like to apply against a given block of text. Each pattern has a sub-pattern marked with (), which will ...
