
"""simple docstring"""







from argparse import ArgumentParser

from . import BaseTransformersCLICommand
def     __lowerCAmelCase				(_UpperCamelCase		):
	return DownloadCommand(args.model       ,  args.cache_dir       ,  args.force       ,  args.trust_remote_code		)




class  A__       (	_lowerCamelCase):

		@staticmethod
		def 							__lowerCamelCase							(      _SCREAMING_SNAKE_CASE ):
			__lowerCAmelCase			:						int									=      parser.add_parser('download' )
			download_parser.add_argument(
			    '--cache-dir'       ,		type=_SCREAMING_SNAKE_CASE       ,		default=_SCREAMING_SNAKE_CASE       ,		help='Path to location to store the models' )
			download_parser.add_argument(
			    '--force'       ,		action='store_true'       ,		help='Force the model to be download even if already in cache-dir' )
			download_parser.add_argument(
			    '--trust-remote-code'       ,		action='store_true'       ,		help='Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine'       ,		)
			download_parser.add_argument('model'       ,		type=_SCREAMING_SNAKE_CASE       ,		help='Name of the model to download' )
			download_parser.set_defaults(func=_SCREAMING_SNAKE_CASE )

		def __init__(      self       ,		_SCREAMING_SNAKE_CASE       ,		_SCREAMING_SNAKE_CASE       ,		_SCREAMING_SNAKE_CASE       ,		_SCREAMING_SNAKE_CASE ):
			__lowerCAmelCase			:						Union[str, Any]									=      model
			__lowerCAmelCase			:						int									=      cache
			__lowerCAmelCase			:						List[Any]									=      force
			__lowerCAmelCase			:						Any									=      trust_remote_code







		def 							__lowerCamelCase							(      self ):
			from ..models.auto import AutoModel, AutoTokenizer

			AutoModel.from_pretrained(
			    self._model       ,		cache_dir=self._cache       ,		force_download=self._force       ,		trust_remote_code=self._trust_remote_code )
			AutoTokenizer.from_pretrained(
			    self._model       ,		cache_dir=self._cache       ,		force_download=self._force       ,		trust_remote_code=self._trust_remote_code )
def    __lowercase     (						lowerCamelCase					:     str  ,  lowerCamelCase					:     str	):

 def get_matched_characters(lowerCamelCase					:     str  ,  lowerCamelCase					:     str	) -> str:
  UpperCamelCase_					:						Tuple =					[]
  UpperCamelCase_					:						List[Any] =					min(len(_stra	)  ,  len(_stra	)	) // 2
  for i, l in enumerate(_stra	):
   UpperCamelCase_					:						int =					int(max(0  ,  i - limit	)	)
   UpperCamelCase_					:						Dict =					int(min(i + limit + 1  ,  len(_stra	)	)	)
   if l in _stra[left:right]:
    matched.append(lowerCamelCase	)
    UpperCamelCase_					:						Dict =					F"{_stra[0:_stra.index(lowerCamelCase	)]} {_stra[_stra.index(lowerCamelCase	) + 1:]}"

  return "".join(lowerCamelCase	)

 # matching characters
 UpperCamelCase_					:						str =					get_matched_characters(lowerCamelCase  ,  lowerCamelCase	)
 UpperCamelCase_					:						str =					get_matched_characters(lowerCamelCase  ,  lowerCamelCase	)
 UpperCamelCase_					:						Union[str, Any] =					len(lowerCamelCase	)

 # transposition
 UpperCamelCase_					:						int =					(
     len([(ca, ca) for ca, ca in zip(lowerCamelCase  ,  lowerCamelCase	) if ca != ca]	) // 2
 )

 if not match_count:
  UpperCamelCase_					:						Union[str, Any] =					0.0
 else:
  UpperCamelCase_					:						str =					(
      1
      / 3
      * (
          match_count / len(lowerCamelCase	)
          + match_count / len(lowerCamelCase	)
          + (match_count - transpositions) / match_count
      )
  )

 # common prefix up to 4 characters
 UpperCamelCase_					:						Dict =					0
 for ca, ca in zip(stra[:4]  ,  stra[:4]	):
  if ca == ca:
   prefix_len += 1
  else:
   break

 return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   print(jaro_winkler('hello', 'world'))



