



'''simple docstring'''



_lowercase       :						Optional[int]						={
    "+": lambda x, y: x + y,
    "-": lambda x, y: x - y,
    "*": lambda x, y: x * y,
    "/": lambda x, y: x / y,
}


def 							__UpperCAmelCase				(				UpperCamelCase__				:List[str]			)		->						Dict:
				return c.isdigit()


def 							__UpperCAmelCase				(				UpperCamelCase__				:Union[str, Any]			)		->						Dict:
				snake_case__      :   Union[str, Any]      =    []

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

								else:
												# pop values from stack can calculate the result
												# push the result onto the stack again
												snake_case__      :   List[Any]      =    stack.pop()
												snake_case__      :   List[str]      =    stack.pop()
												stack.append(calc[c](UpperCamelCase__   ,				UpperCamelCase__			)			)

				return stack.pop()


# Driver code
if __name__ == "__main__":
				_lowercase       :						int						="+ 9 * 2 6"
				print(evaluate(test_expression))

				_lowercase       :						int						="/ * 10 2 + 4 1 "
				print(evaluate(test_expression))







"""simple docstring"""



import os

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


SCREAMING_SNAKE_CASE_       :						Dict					=    logging.get_logger(__name__)



class        a    (							_lowerCamelCase					):



    """simple docstring"""



    def __init__(  self:			Tuple     ,    UpperCamelCase:			Optional[Any]     ,    UpperCamelCase:			Optional[int]=None							):






         """simple docstring"""


         A__				      =	language
         A__				      =	train_language

    def 					UpperCamelCase						(  self:			Union[str, Any]     ,    UpperCamelCase:			str							):






         """simple docstring"""


         A__				      =	self.language if self.train_language is None else self.train_language
         A__				      =	self._read_tsv(os.path.join(UpperCamelCase     ,    f"""XNLI-MT-1.0/multinli/multinli.train.{lg}.tsv"""							)							)
         A__				      =	[]
         for i, line in enumerate(UpperCamelCase							):
              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(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:			Dict     ,    UpperCamelCase:			Union[str, Any]							):






         """simple docstring"""


         A__				      =	self._read_tsv(os.path.join(UpperCamelCase     ,    """XNLI-1.0/xnli.test.tsv"""							)							)
         A__				      =	[]
         for i, line in enumerate(UpperCamelCase							):
              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(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:			Tuple							):






         """simple docstring"""


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

SCREAMING_SNAKE_CASE_       :						int					=    {
    'xnli': XnliProcessor,
}

SCREAMING_SNAKE_CASE_       :						List[Any]					=    {
    'xnli': 'classification',
}

SCREAMING_SNAKE_CASE_       :						str					=    {
    'xnli': 3,
}






