





import os

from ...utils import logging
from .utils import DataProcessor, InputExample


_A				:							Union[str, Any]							= logging.get_logger(__name__)



class 				__snake_case  (     __SCREAMING_SNAKE_CASE						):


    '''simple docstring'''







    def __init__(					self      ,							A_      ,							A_=None    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__       							= language
        SCREAMING_SNAKE_CASE__       							= train_language



    def    lowercase_				(					self      ,							A_    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__       							= self.language if self.train_language is None else self.train_language
        SCREAMING_SNAKE_CASE__       							= self._read_tsv(os.path.join(A_      ,							f'''XNLI-MT-1.0/multinli/multinli.train.{lg}.tsv'''    )    )
        SCREAMING_SNAKE_CASE__       							= []
        for i, line in enumerate(A_    ):
            if i == 0:
                continue
            SCREAMING_SNAKE_CASE__       							= f'''train-{i}'''
            SCREAMING_SNAKE_CASE__       							= line[0]
            SCREAMING_SNAKE_CASE__       							= line[1]
            SCREAMING_SNAKE_CASE__       							= '''contradiction''' if line[2] == '''contradictory''' else line[2]
            if not isinstance(A_      ,							A_    ):
                raise ValueError(f'''Training input {text_a} is not a string'''    )
            if not isinstance(A_      ,							A_    ):
                raise ValueError(f'''Training input {text_b} is not a string'''    )
            if not isinstance(A_      ,							A_    ):
                raise ValueError(f'''Training label {label} is not a string'''    )
            examples.append(InputExample(guid=A_      ,							text_a=A_      ,							text_b=A_      ,							label=A_    )    )
        return examples



    def    lowercase_				(					self      ,							A_    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__       							= self._read_tsv(os.path.join(A_      ,							'''XNLI-1.0/xnli.test.tsv'''    )    )
        SCREAMING_SNAKE_CASE__       							= []
        for i, line in enumerate(A_    ):
            if i == 0:
                continue
            SCREAMING_SNAKE_CASE__       							= line[0]
            if language != self.language:
                continue
            SCREAMING_SNAKE_CASE__       							= f'''test-{i}'''
            SCREAMING_SNAKE_CASE__       							= line[6]
            SCREAMING_SNAKE_CASE__       							= line[7]
            SCREAMING_SNAKE_CASE__       							= line[1]
            if not isinstance(A_      ,							A_    ):
                raise ValueError(f'''Training input {text_a} is not a string'''    )
            if not isinstance(A_      ,							A_    ):
                raise ValueError(f'''Training input {text_b} is not a string'''    )
            if not isinstance(A_      ,							A_    ):
                raise ValueError(f'''Training label {label} is not a string'''    )
            examples.append(InputExample(guid=A_      ,							text_a=A_      ,							text_b=A_      ,							label=A_    )    )
        return examples




    def    lowercase_				(					self    ):





        '''simple docstring'''

        return ["contradiction", "entailment", "neutral"]





_A				:							Dict							= {
    """xnli""": XnliProcessor,
}

_A				:							List[str]							= {
    """xnli""": """classification""",
}

_A				:							Union[str, Any]							= {
    """xnli""": 3,
}







from __future__ import annotations

from collections.abc import Generator


def        __snake_case       (						lowerCAmelCase_  )							->	Generator[int, None, None]:
    if not isinstance(lowerCAmelCase_   ,       lowerCAmelCase_  ) or n < 1:
        raise Exception('''Sequence only defined for positive integers'''  )

    yield n
    while n != 1:
        if n % 2 == 0:
            n //= 2
        else:
            SCREAMING_SNAKE_CASE__       							= 3 * n + 1
        yield n


def        __snake_case       (						)							->	str:
    SCREAMING_SNAKE_CASE__       							= 4_3
    SCREAMING_SNAKE_CASE__       							= tuple(collatz_sequence(lowerCAmelCase_  )  )
    print(lowerCAmelCase_  )
    print(f'''Collatz sequence from {n} took {len(lowerCAmelCase_  )} steps.'''  )


if __name__ == "__main__":
  main()
