






import os

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


lowerCamelCase					    =	logging.get_logger(__name__)

class        snake_case_				(							lowercase_   ):







   """simple docstring"""



   def __init__(     self:						Tuple ,							snake_case__:						List[Any] ,							snake_case__:						str=None						)	->		Any:


       """simple docstring"""



       _lowercase     			=						language
       _lowercase     			=						train_language

   def       SCREAMING_SNAKE_CASE__					(     self:						List[str] ,							snake_case__:						Tuple						)	->		List[Any]:


       """simple docstring"""



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

   def       SCREAMING_SNAKE_CASE__					(     self:						str ,							snake_case__:						List[Any]						)	->		Dict:


       """simple docstring"""



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

   def       SCREAMING_SNAKE_CASE__					(     self:						List[Any]						)	->		List[str]:


       """simple docstring"""



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






lowerCamelCase					    =	{
    '''xnli''': XnliProcessor,
}

lowerCamelCase					    =	{
    '''xnli''': '''classification''',
}

lowerCamelCase					    =	{
    '''xnli''': 3,
}








import math
def 							UpperCAmelCase   ( _lowercase   ):


    '''simple docstring'''



    _lowercase     			=						math.log(2,   10   ) * number
    _lowercase     			=						round((log_number - int(_lowercase   )),   15   )

    return difference
def 							UpperCAmelCase   ( _lowercase = 678910   ):


    '''simple docstring'''



    _lowercase     			=						90
    _lowercase     			=						0

    _lowercase     			=						math.log(1.23,   10   )
    _lowercase     			=						math.log(1.24,   10   )
    _lowercase     			=						0

    while position < number:
        _lowercase     			=						log_difference(_lowercase   )

        if difference >= upper_limit:
            power_iterator += 93

        elif difference < lower_limit:
            power_iterator += 196

        else:
            _lowercase     			=						power_iterator
            power_iterator += 196
            position += 1

    return previous_power


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   print(f"{solution() = }")
