"""simple docstring"""






import os

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


UpperCamelCase     					=     logging.get_logger(__name__)
class   UpperCAmelCase__				(    __lowerCamelCase			):


	"""simple docstring"""







	def __init__(			self       ,     _SCREAMING_SNAKE_CASE       ,     _SCREAMING_SNAKE_CASE=None )    ->	Optional[Any]:
							a_							:			Union[str, Any]     		=					language
							a_							:			Any     		=					train_language







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




UpperCamelCase     					=     {
    'xnli': XnliProcessor,
}

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

UpperCamelCase     					=     {
    'xnli': 3,
}





"""simple docstring"""






import numpy as np

UpperCamelCase     					=     [
    ['a', 'b', 'c', 'd', 'e'],
    ['f', 'g', 'h', 'i', 'k'],
    ['l', 'm', 'n', 'o', 'p'],
    ['q', 'r', 's', 't', 'u'],
    ['v', 'w', 'x', 'y', 'z'],
]
class   UpperCAmelCase__				:


	"""simple docstring"""







	def __init__(			self )    ->	None:
							a_							:			List[Any]     		=					np.array(_SCREAMING_SNAKE_CASE )







	def       A    (			self       ,     _SCREAMING_SNAKE_CASE )    ->	np.ndarray:
							a_		,					a_							:			List[str]     		=					np.where(letter == self.SQUARE )
							a_							:			Union[str, Any]     		=					np.concatenate([indexa + 1, indexa + 1] )
							return indexes







	def       A    (			self       ,     _SCREAMING_SNAKE_CASE       ,     _SCREAMING_SNAKE_CASE )    ->	str:
							return self.SQUARE[indexa - 1, indexa - 1]







	def       A    (			self       ,     _SCREAMING_SNAKE_CASE )    ->	str:
							a_							:			List[str]     		=					message.lower()
							a_							:			Union[str, Any]     		=					message.replace("j"       ,     "i" )

							a_							:			Tuple     		=					""
							for letter_index in range(len(_SCREAMING_SNAKE_CASE ) ):
													if message[letter_index] != " ":
																			a_							:			Dict     		=					self.letter_to_numbers(message[letter_index] )
																			a_							:			str     		=					encoded_message + str(numbers[0] ) + str(numbers[1] )
													elif message[letter_index] == " ":
																			a_							:			Any     		=					encoded_message + " "

							return encoded_message







	def       A    (			self       ,     _SCREAMING_SNAKE_CASE )    ->	str:
							a_							:			Dict     		=					message.replace(" "       ,     "  " )
							a_							:			str     		=					""
							for numbers_index in range(int(len(_SCREAMING_SNAKE_CASE ) / 2 ) ):
													if message[numbers_index * 2] != " ":
																			a_							:			str     		=					message[numbers_index * 2]
																			a_							:			str     		=					message[numbers_index * 2 + 1]

																			a_							:			Optional[Any]     		=					self.numbers_to_letter(int(_SCREAMING_SNAKE_CASE )       ,     int(_SCREAMING_SNAKE_CASE ) )
																			a_							:			Optional[Any]     		=					decoded_message + letter
													elif message[numbers_index * 2] == " ":
																			a_							:			str     		=					decoded_message + " "

							return decoded_message




