






'''simple docstring'''







import json
import os
from typing import Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__lowerCAmelCase       		=      logging.get_logger(__name__)

__lowerCAmelCase       		=      {'vocab_file': 'vocab.json'}

__lowerCAmelCase       		=      {
    'vocab_file': {
        'mgp-str': 'https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json',
    }
}

__lowerCAmelCase       		=      {'mgp-str': 27}





class 	SCREAMING_SNAKE_CASE					(					__A       ):
			snake_case__  =				VOCAB_FILES_NAMES
			snake_case__  =				PRETRAINED_VOCAB_FILES_MAP
			snake_case__  =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






			def __init__( self      :			List[str]  ,						__SCREAMING_SNAKE_CASE      :			Dict  ,						__SCREAMING_SNAKE_CASE      :			int="[GO]"  ,						__SCREAMING_SNAKE_CASE      :			Union[str, Any]="[GO]"  ,						__SCREAMING_SNAKE_CASE      :			Optional[Any]="[s]"  ,						__SCREAMING_SNAKE_CASE      :			Any="[GO]"  ,						**__SCREAMING_SNAKE_CASE      :			Dict					)			->			Union[str, Any]:
							super().__init__(
							    unk_token=__SCREAMING_SNAKE_CASE  ,						bos_token=__SCREAMING_SNAKE_CASE  ,						eos_token=__SCREAMING_SNAKE_CASE  ,						pad_token=__SCREAMING_SNAKE_CASE  ,						**__SCREAMING_SNAKE_CASE  ,						)

							with open(__SCREAMING_SNAKE_CASE  ,						encoding='''utf-8'''					) as vocab_handle:
											a_		:  List[str]											=      json.load(__SCREAMING_SNAKE_CASE					)
							a_		:  Optional[Any]											=      {v: k for k, v in self.vocab.items()}






			@property
			def 			SCREAMING_SNAKE_CASE      ( self      :			List[Any]					)			->			Optional[int]:
							return len(self.vocab					)






			def 			SCREAMING_SNAKE_CASE      ( self      :			Optional[int]					)			->			Union[str, Any]:
							return dict(self.vocab  ,						**self.added_tokens_encoder					)






			def 			SCREAMING_SNAKE_CASE      ( self      :			Optional[int]  ,						__SCREAMING_SNAKE_CASE      :			str					)			->			Dict:
							a_		:  List[str]											=      []
							for s in text:
											char_tokens.extend(__SCREAMING_SNAKE_CASE					)
							return char_tokens






			def 			SCREAMING_SNAKE_CASE      ( self      :			List[str]  ,						__SCREAMING_SNAKE_CASE      :			Dict					)			->			Tuple:
							return self.vocab.get(__SCREAMING_SNAKE_CASE  ,						self.vocab.get(self.unk_token					)					)






			def 			SCREAMING_SNAKE_CASE      ( self      :			Union[str, Any]  ,						__SCREAMING_SNAKE_CASE      :			Union[str, Any]					)			->			List[Any]:
							return self.decoder.get(__SCREAMING_SNAKE_CASE					)







			def 			SCREAMING_SNAKE_CASE      ( self      :			List[Any]  ,						__SCREAMING_SNAKE_CASE      :			str  ,						__SCREAMING_SNAKE_CASE      :			Optional[str] = None					)			->			Tuple[str]:

							if not os.path.isdir(__SCREAMING_SNAKE_CASE					):
											logger.error('''Vocabulary path ({}) should be a directory'''.format(__SCREAMING_SNAKE_CASE					)					)
											return
							a_		:  Optional[int]											=      os.path.join(
							    __SCREAMING_SNAKE_CASE  ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']					)

							with open(__SCREAMING_SNAKE_CASE  ,						'''w'''  ,						encoding='''utf-8'''					) as f:
											f.write(json.dumps(self.vocab  ,						indent=2  ,						sort_keys=__SCREAMING_SNAKE_CASE  ,						ensure_ascii=__SCREAMING_SNAKE_CASE					) + '''\n'''					)

							return (vocab_file,)












'''simple docstring'''







def 		_UpperCAmelCase   (							__A							:   str						,		__A							:   str      ):

				def get_matched_characters(__A							:   str						,		__A							:   str      ) -> str:
								a_		:  Union[str, Any]											=      []
								a_		:  int											=      min(len(_stra      )						,		len(_stra      )      ) // 2
								for i, l in enumerate(_stra      ):
												a_		:  Any											=      int(max(0						,		i - limit      )      )
												a_		:  Union[str, Any]											=      int(min(i + limit + 1						,		len(_stra      )      )      )
												if l in _stra[left:right]:
																matched.append(__A      )
																a_		:  Any											=      f'{_stra[0:_stra.index(__A      )]} {_stra[_stra.index(__A      ) + 1:]}'

								return "".join(__A      )

				# matching characters
				a_		:  Optional[Any]											=      get_matched_characters(__A						,		__A      )
				a_		:  int											=      get_matched_characters(__A						,		__A      )
				a_		:  Any											=      len(__A      )

				# transposition
				a_		:  List[Any]											=      (
				    len([(ca, ca) for ca, ca in zip(__A						,		__A      ) if ca != ca]      ) // 2
				)

				if not match_count:
								a_		:  Dict											=      0.0
				else:
								a_		:  Optional[int]											=      (
								    1
								    / 3
								    * (
								        match_count / len(__A      )
								        + match_count / len(__A      )
								        + (match_count - transpositions) / match_count
								    )
								)

				# common prefix up to 4 characters
				a_		:  List[str]											=      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'))




