class_docstr: Compute the Hamming distance between the two or more sequences.
  The Hamming distance is the number of differing items in ordered sequences.
  
  http://www.sial.iias.spb.su/files/386-386-1-PB.pdf
  https://github.com/Yomguithereal/talisman/blob/master/src/metrics/mlipns.js
class_docstr_tok: ["Compute","the","Hamming","distance","between","the","two","or","more","sequences",".","The","Hamming","distance","is","the","number","of","differing","items","in","ordered","sequences",".","http",":","\/\/www.sial.iias.spb.su\/files\/386-386-1-PB.pdf","https",":","\/\/github.com\/Yomguithereal\/talisman\/blob\/master\/src\/metrics\/mlipns.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 MLIPNS obj's underlying member method code with example usage: obj.maximum() and returns: int