



import re

from filelock import FileLock


try:
			import nltk

			_snake_case				=					True
except (ImportError, ModuleNotFoundError):
			_snake_case				=					False

if NLTK_AVAILABLE:
			with FileLock('.lock') as lock:
						nltk.download('punkt', quiet=True)
def     _a							(     __lowercase		)     ->						Optional[Any]:

							"""simple docstring"""





							re.sub('<n>'				, ''				, __lowercase		)  # remove pegasus newline char
							assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
							return "\n".join(nltk.sent_tokenize(__lowercase		)		)







'''simple docstring'''


import functools


def 		_lowercase (SCREAMING_SNAKE_CASE       ,					SCREAMING_SNAKE_CASE							):




     '''simple docstring'''





     __A	:       int      =							len(SCREAMING_SNAKE_CASE							)
     __A	:       int      =							len(SCREAMING_SNAKE_CASE							)

     @functools.cache
     def min_distance(SCREAMING_SNAKE_CASE       ,					SCREAMING_SNAKE_CASE							) -> int:
          # if first word index is overflow - delete all from the second word
          if indexa >= len_worda:
               return len_worda - indexa
          # if second word index is overflow - delete all from the first word
          if indexa >= len_worda:
               return len_worda - indexa
          __A	:       Optional[int]      =							int(worda[indexa] != worda[indexa]							)  # current letters not identical
          return min(
              1 + min_distance(indexa + 1       ,					SCREAMING_SNAKE_CASE							)       ,					1 + min_distance(SCREAMING_SNAKE_CASE       ,					indexa + 1							)       ,					diff + min_distance(indexa + 1       ,					indexa + 1							)       ,					)

     return min_distance(0       ,					0							)


if __name__ == "__main__":
      import doctest

      doctest.testmod()

