






import os

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


_SCREAMING_SNAKE_CASE :    Optional[Any]    =						logging.get_logger(__name__)






class 					a						( __snake_case		):






    def __init__(	self					:							List[Any]	,						__SCREAMING_SNAKE_CASE					:							Optional[int]	,						__SCREAMING_SNAKE_CASE					:							Dict=None )					->		Any:
      lowerCamelCase_   					=						language
      lowerCamelCase_   					=						train_language






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






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






    def        UpperCamelCase	(	self					:							Tuple )					->		List[Any]:
      return ["contradiction", "entailment", "neutral"]
_SCREAMING_SNAKE_CASE :    List[str]    =						{
    '''xnli''': XnliProcessor,
}

_SCREAMING_SNAKE_CASE :    int    =						{
    '''xnli''': '''classification''',
}

_SCREAMING_SNAKE_CASE :    Union[str, Any]    =						{
    '''xnli''': 3,
}












"""simple docstring"""





def 					lowerCamelCase__	(							_lowerCamelCase	:		int = 1000			)				->    int:
  lowerCamelCase_   					=						0
  lowerCamelCase_   					=						(n - 1) // 3
  total += ((terms) * (6 + (terms - 1) * 3)) // 2  # total of an A.P.
  lowerCamelCase_   					=						(n - 1) // 5
  total += ((terms) * (10 + (terms - 1) * 5)) // 2
  lowerCamelCase_   					=						(n - 1) // 15
  total -= ((terms) * (30 + (terms - 1) * 15)) // 2
  return total


if __name__ == "__main__":
  print(F'''{solution() = }''')




