



'''simple docstring'''



import os

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


lowerCAmelCase						:		List[Any]						      = logging.get_logger(__name__)






class        UpperCAmelCase__						(		UpperCamelCase__			):



					def __init__(     self      ,					UpperCamelCase      ,					UpperCamelCase=None  )  ->      Optional[Any]:
						__lowerCAmelCase       				=	language
						__lowerCAmelCase       				=	train_language



					def 							UpperCAmelCase_			(     self      ,					UpperCamelCase  )  ->      Union[str, Any]:
						__lowerCAmelCase       				=	self.language if self.train_language is None else self.train_language
						__lowerCAmelCase       				=	self._read_tsv(os.path.join(UpperCamelCase      ,					F'''XNLI-MT-1.0/multinli/multinli.train.{lg}.tsv'''  )  )
						__lowerCAmelCase       				=	[]
						for i, line in enumerate(UpperCamelCase  ):
							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(UpperCamelCase      ,					UpperCamelCase  ):
								raise ValueError(F'''Training input {text_a} is not a string'''  )
							if not isinstance(UpperCamelCase      ,					UpperCamelCase  ):
								raise ValueError(F'''Training input {text_b} is not a string'''  )
							if not isinstance(UpperCamelCase      ,					UpperCamelCase  ):
								raise ValueError(F'''Training label {label} is not a string'''  )
							examples.append(InputExample(guid=UpperCamelCase      ,					text_a=UpperCamelCase      ,					text_b=UpperCamelCase      ,					label=UpperCamelCase  )  )
						return examples



					def 							UpperCAmelCase_			(     self      ,					UpperCamelCase  )  ->      Optional[Any]:
						__lowerCAmelCase       				=	self._read_tsv(os.path.join(UpperCamelCase      ,					"XNLI-1.0/xnli.test.tsv"  )  )
						__lowerCAmelCase       				=	[]
						for i, line in enumerate(UpperCamelCase  ):
							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(UpperCamelCase      ,					UpperCamelCase  ):
								raise ValueError(F'''Training input {text_a} is not a string'''  )
							if not isinstance(UpperCamelCase      ,					UpperCamelCase  ):
								raise ValueError(F'''Training input {text_b} is not a string'''  )
							if not isinstance(UpperCamelCase      ,					UpperCamelCase  ):
								raise ValueError(F'''Training label {label} is not a string'''  )
							examples.append(InputExample(guid=UpperCamelCase      ,					text_a=UpperCamelCase      ,					text_b=UpperCamelCase      ,					label=UpperCamelCase  )  )
						return examples



					def 							UpperCAmelCase_			(     self  )  ->      int:
						return ["contradiction", "entailment", "neutral"]


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

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

lowerCAmelCase						:		List[str]						      = {
    '''xnli''': 3,
}




'''simple docstring'''



def 	__lowerCAmelCase       (				lowerCamelCase :    list[list[int]]					,		lowerCamelCase :    list[list[int]]       ):






	'''simple docstring'''




	__lowerCAmelCase       				=	[]
	__lowerCAmelCase       				=	len(lowerCamelCase       )
	for i in range(lowerCamelCase       ):
		__lowerCAmelCase       				=	[]
		for j in range(lowerCamelCase       ):
			__lowerCAmelCase       				=	0
			for k in range(lowerCamelCase       ):
				__lowerCAmelCase       				=	val + matrix_a[i][k] * matrix_b[k][j]
			list_a.append(lowerCamelCase       )
		matrix_c.append(lowerCamelCase       )
	return matrix_c



def 	__lowerCAmelCase       (				lowerCamelCase :    int       ):






	'''simple docstring'''




	return [[int(row == column       ) for column in range(lowerCamelCase       )] for row in range(lowerCamelCase       )]



def 	__lowerCAmelCase       (				lowerCamelCase :    int       ):






	'''simple docstring'''




	if n <= 1:
		return n
	__lowerCAmelCase       				=	identity(2       )
	__lowerCAmelCase       				=	[[1, 1], [1, 0]]
	__lowerCAmelCase       				=	n - 1
	while n > 0:
		if n % 2 == 1:
			__lowerCAmelCase       				=	multiply(lowerCamelCase					,		lowerCamelCase       )
		__lowerCAmelCase       				=	multiply(lowerCamelCase					,		lowerCamelCase       )
		__lowerCAmelCase       				=	int(n / 2       )
	return res_matrix[0][0]



def 	__lowerCAmelCase       (				lowerCamelCase :    int       ):






	'''simple docstring'''




	if n <= 1:
		return n
	__lowerCAmelCase       				=	0
	__lowerCAmelCase       				=	1
	for _ in range(2					,		n + 1       ):
		__lowerCAmelCase				,							__lowerCAmelCase       				=	fiba, fiba + fiba
	return fiba



def 	__lowerCAmelCase       (				):






	'''simple docstring'''




	for ordinal in "0th 1st 2nd 3rd 10th 100th 1000th".split():
		__lowerCAmelCase       				=	int("".join(c for c in ordinal if c in "0123456789"       )       )  # 1000th --> 1000
		print(
		    f'''{ordinal} fibonacci number using matrix exponentiation is '''
		    f'''{nth_fibonacci_matrix(lowerCamelCase       )} and using bruteforce is '''
		    f'''{nth_fibonacci_bruteforce(lowerCamelCase       )}\n'''       )
	# from timeit import timeit
	# print(timeit("nth_fibonacci_matrix(1000000)",
	#              "from main import nth_fibonacci_matrix", number=5))
	# print(timeit("nth_fibonacci_bruteforce(1000000)",
	#              "from main import nth_fibonacci_bruteforce", number=5))
	# 2.3342058970001744
	# 57.256506615000035


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()