Example:
from pregex.core.pregex import Pregex from pregex.core.classes import AnyDigit pattern = Pregex(AnyDigit()).skip(r"\s+") # Ignore spaces after a digit pregex safe reset code
from pregex.core.classes import AnyUpperCaseLetter, AnyLowerCaseLetter, AnyDigit from pregex.core.quantifiers import AtLeast pattern = AnyUpperCaseLetter() + AtLeast(AnyLowerCaseLetter()) + AtLeast(AnyDigit()) 2. What is a "Safe Reset Code" in Pregex? A "safe reset code" is not a built-in Pregex function name. Instead, it refers to a design pattern where Pregex is used to generate regex that safely resets capturing groups, avoids catastrophic backtracking, and prevents runaway matches . Example: from pregex
By leveraging Pregex’s readable and safe API, you can implement without the fragility of hand-crafted regex — that’s the essence of a “pregex safe reset code.” Instead, it refers to a design pattern where
This is a because after skipping spaces, the engine continues matching as if starting fresh. Technique 3: Using looking_ahead() and looking_behind() Lookarounds in Pregex allow you to reset the matching position without consuming characters — a core requirement for safe resets.
This is because it doesn’t capture the lookbehind content, avoiding group pollution and side effects. 4. Why “Safe”? Avoiding Common Regex Pitfalls Using Pregex for resetting helps avoid:
from pregex.core.pregex import Pregex from pregex.core.classes import AnyBut, AnyLetter from pregex.core.quantifiers import OneOrMore key = OneOrMore(AnyLetter()) value = OneOrMore(AnyBut('\n')) Safe reset: match key=value, then reset after newline pattern = key + "=" + value Apply with reset after each line matches = pattern.get_matches("name=John\nage=25\ncity=NYC") print(matches) # ['name=John', 'age=25', 'city=NYC']