





"""simple docstring"""




import os

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


UpperCamelCase_	 =logging.get_logger(__name__)




class 					_a		( _lowerCAmelCase							):






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




										'''simple docstring'''



										_UpperCamelCase     :   Optional[int]      =       language
										_UpperCamelCase     :   Dict      =       train_language






				def 							snake_case      (					self						:       Optional[int],					lowerCAmelCase__						:       Any				)      -> int:




										'''simple docstring'''



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






				def 							snake_case      (					self						:       Any,					lowerCAmelCase__						:       int				)      -> str:




										'''simple docstring'''



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






				def 							snake_case      (					self						:       int				)      -> Union[str, Any]:




										'''simple docstring'''



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

UpperCamelCase_	 ={
    """xnli""": XnliProcessor,
}

UpperCamelCase_	 ={
    """xnli""": """classification""",
}

UpperCamelCase_	 ={
    """xnli""": 3,
}










"""simple docstring"""




def 			a_							(				_lowercase  ):
						_UpperCamelCase     :   List[str]      =       []
						_UpperCamelCase     :   Union[str, Any]      =       1

						for i in range(len(_lowercase  )  ):
												if i + 1 < len(_lowercase  ) and text[i] == text[i + 1]:
																		count += 1
												else:
																		encoded.append((text[i], count)  )
																		_UpperCamelCase     :   int      =       1

						return encoded





def 			a_							(				_lowercase  ):
						return "".join(char * length for char, length in encoded  )


if __name__ == "__main__":
						from doctest import testmod

						testmod(name="""run_length_encode""", verbose=True)
						testmod(name="""run_length_decode""", verbose=True)



