

"""simple docstring"""




__A  :					List[Any]												=	{
    '+': lambda x, y: x + y,
    '-': lambda x, y: x - y,
    '*': lambda x, y: x * y,
    '/': lambda x, y: x / y,
}
def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
					"""simple docstring"""
					return c.isdigit()
def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
					"""simple docstring"""
					A    =      []

					# iterate over the string in reverse order
					for c in expression.split()[::-1]:
										# push operand to stack
										if is_operand(lowercase__   ):
															stack.append(int(lowercase__   )   )

										else:
															# pop values from stack can calculate the result
															# push the result onto the stack again
															A    =      stack.pop()
															A    =      stack.pop()
															stack.append(calc[c](lowercase__    ,							lowercase__   )   )

					return stack.pop()


# Driver code
if __name__ == "__main__":
	__A  :					List[Any]												=	'+ 9 * 2 6'
	print(evaluate(test_expression))

	__A  :					List[str]												=	'/ * 10 2 + 4 1 '
	print(evaluate(test_expression))








"""simple docstring"""




import os

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


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





class     __UpperCamelCase				(     _A		):


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


		def       SCREAMING_SNAKE_CASE__     (self				:	Tuple  ,  __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				:	List[str]  ,  __SCREAMING_SNAKE_CASE				:	Tuple):
							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				:	str):
							return ["contradiction", "entailment", "neutral"]

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

__A  :					Union[str, Any]												=	{
    'xnli': 'classification',
}

__A  :					Tuple												=	{
    'xnli': 3,
}





