class_docstr: Computes the Jaro-Winkler measure between two strings.
  The Jaro-Winkler measure is designed to capture cases where two strings
  have a low Jaro score, but share a prefix.
  and thus are likely to match.
  
  https://en.wikipedia.org/wiki/Jaro%E2%80%93Winkler_distance
  https://github.com/Yomguithereal/talisman/blob/master/src/metrics/jaro.js
  https://github.com/Yomguithereal/talisman/blob/master/src/metrics/jaro-winkler.js
class_docstr_tok: ["Computes","the","Jaro-Winkler","measure","between","two","strings",".","The","Jaro-Winkler","measure","is","designed","to","capture","cases","where","two","strings","have","a","low","Jaro","score",",","but","share","a","prefix",".","and","thus","are","likely","to","match",".","https",":","\/\/en.wikipedia.org\/wiki\/Jaro","%","E2","%","80","%","93Winkler_distance","https",":","\/\/github.com\/Yomguithereal\/talisman\/blob\/master\/src\/metrics\/jaro.js","https",":","\/\/github.com\/Yomguithereal\/talisman\/blob\/master\/src\/metrics\/jaro-winkler.js"]
code: def maximum(self, *sequences: Sequence[object]) -> int:
      return 1
  
imports: from __future__ import annotations
  from collections import defaultdict
  from itertools import zip_longest
  from typing import Any, Sequence, TypeVar
  from .base import Base, BaseSimilarity
  from .types import SimFunc, TestFunc
label_desc: Use image node_id 2 for calling the JaroWinkler obj's underlying member method code with example usage: obj.maximum() and returns: int