





"""simple docstring"""



from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
       from .features import FeatureType






@dataclass
class 						__snake_case   :





 """simple docstring"""


 _lowerCamelCase								=	42
 _lowerCamelCase								=	None
 # Automatically constructed
 _lowerCamelCase								=	"dict"
 _lowerCamelCase								=	None
 _lowerCamelCase								=	field(default="""Translation"""				,				init=SCREAMING_SNAKE_CASE__				,				repr=SCREAMING_SNAKE_CASE__	)

 def __call__(       self    ):



     '''simple docstring'''




     return pa.struct({lang: pa.string() for lang in sorted(self.languages    )}    )







 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




     from .features import Value

     return {k: Value('''string'''    ) for k in sorted(self.languages    )}






@dataclass
class 						__snake_case   :





 """simple docstring"""


 _lowerCamelCase								=	None
 _lowerCamelCase								=	None
 _lowerCamelCase								=	None
 # Automatically constructed
 _lowerCamelCase								=	"dict"
 _lowerCamelCase								=	None
 _lowerCamelCase								=	field(default="""TranslationVariableLanguages"""				,				init=SCREAMING_SNAKE_CASE__				,				repr=SCREAMING_SNAKE_CASE__	)

 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




     __A       :		Optional[int]							=	sorted(set(self.languages    )    ) if self.languages else None
     __A       :		Dict							=	len(self.languages    ) if self.languages else None

 def __call__(       self    ):



     '''simple docstring'''




     return pa.struct({'''language''': pa.list_(pa.string()    ), '''translation''': pa.list_(pa.string()    )}    )

 def    UpperCamelCase__(       self   ,		__lowerCamelCase    ):



     '''simple docstring'''




     __A       :		Any							=	set(self.languages    )
     if self.languages and set(__lowerCamelCase    ) - lang_set:
         raise ValueError(
             F"""Some languages in example ({', '.join(sorted(set(__lowerCamelCase    ) - lang_set    )    )}) are not in valid set ({', '.join(__lowerCamelCase    )})."""    )

     # Convert dictionary into tuples, splitting out cases where there are
     # multiple translations for a single language.
     __A       :		List[str]							=	[]
     for lang, text in translation_dict.items():
         if isinstance(__lowerCamelCase   ,		__lowerCamelCase    ):
             translation_tuples.append((lang, text)    )
         else:
             translation_tuples.extend([(lang, el) for el in text]    )

        # Ensure translations are in ascending order by language code.
     __A					,			__A       :		List[str]							=	zip(*sorted(__lowerCamelCase    )    )

     return {"language": languages, "translation": translations}







 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




     from .features import Sequence, Value

     return {
         "language": Sequence(Value('''string'''    )    ),
         "translation": Sequence(Value('''string'''    )    ),
     }











"""simple docstring"""



def 						__lowercase	(  snake_case_    :    str							,snake_case_    :    str		)  ->float:



    '''simple docstring'''







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

        return "".join(snake_case_		)

    # matching characters
    __A       :		int							=	get_matched_characters(snake_case_							,snake_case_		)
    __A       :		Tuple							=	get_matched_characters(snake_case_							,snake_case_		)
    __A       :		str							=	len(snake_case_		)

    # transposition
    __A       :		Dict							=	(
        len([(ca, ca) for ca, ca in zip(snake_case_							,snake_case_		) if ca != ca]		) // 2
    )

    if not match_count:
        __A       :		List[str]							=	0.0
    else:
        __A       :		Tuple							=	(
            1
            / 3
            * (
                match_count / len(snake_case_		)
                + match_count / len(snake_case_		)
                + (match_count - transpositions) / match_count
            )
        )

    # common prefix up to 4 characters
    __A       :		Tuple							=	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"""))




