

"""simple docstring"""




import os

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


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





class      __UpperCamelCase					(  _A		):


		def __init__(self					:						Dict	,	__SCREAMING_SNAKE_CASE					:						int	,	__SCREAMING_SNAKE_CASE					:						Tuple=None):
							A     =   language
							A     =   train_language


		def    SCREAMING_SNAKE_CASE__  (self					:						List[Any]	,	__SCREAMING_SNAKE_CASE					:						Tuple):
							A     =   self.language if self.train_language is None else self.train_language
							A     =   self._read_tsv(os.path.join(__SCREAMING_SNAKE_CASE	,	F"""XNLI-MT-1.0/multinli/multinli.train.{lg}.tsv"""))
							A     =   []
							for i, line in enumerate(__SCREAMING_SNAKE_CASE):
												if i == 0:
																	continue
												A     =   F"""train-{i}"""
												A     =   line[0]
												A     =   line[1]
												A     =   "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    SCREAMING_SNAKE_CASE__  (self					:						Tuple	,	__SCREAMING_SNAKE_CASE					:						List[Any]):
							A     =   self._read_tsv(os.path.join(__SCREAMING_SNAKE_CASE	,	"XNLI-1.0/xnli.test.tsv"))
							A     =   []
							for i, line in enumerate(__SCREAMING_SNAKE_CASE):
												if i == 0:
																	continue
												A     =   line[0]
												if language != self.language:
																	continue
												A     =   F"""test-{i}"""
												A     =   line[6]
												A     =   line[7]
												A     =   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    SCREAMING_SNAKE_CASE__  (self					:						int):
							return ["contradiction", "entailment", "neutral"]

__A	:       List[Any]        =						{
    'xnli': XnliProcessor,
}

__A	:       Optional[int]        =						{
    'xnli': 'classification',
}

__A	:       List[Any]        =						{
    '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)



