

'''simple docstring'''
import logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


_UpperCAmelCase  :		str  =		logging.getLogger(__name__)

@dataclass
class 						__magic_name__   (							__SCREAMING_SNAKE_CASE ):
 UpperCamelCase__     =       field(
     default=0.0 ,				metadata={'help': 'The label smoothing epsilon to apply (if not zero).'} )
 UpperCamelCase__     =       field(default=__SCREAMING_SNAKE_CASE ,				metadata={'help': 'Whether to SortishSamler or not.'} )
 UpperCamelCase__     =       field(
     default=__SCREAMING_SNAKE_CASE ,				metadata={'help': 'Whether to use generate to calculate generative metrics (ROUGE, BLEU).'} )
 UpperCamelCase__     =       field(default=__SCREAMING_SNAKE_CASE ,				metadata={'help': 'whether to use adafactor'} )
 UpperCamelCase__     =       field(
     default=__SCREAMING_SNAKE_CASE ,				metadata={'help': 'Encoder layer dropout probability. Goes into model.config.'} )
 UpperCamelCase__     =       field(
     default=__SCREAMING_SNAKE_CASE ,				metadata={'help': 'Decoder layer dropout probability. Goes into model.config.'} )
 UpperCamelCase__     =       field(default=__SCREAMING_SNAKE_CASE ,				metadata={'help': 'Dropout probability. Goes into model.config.'} )
 UpperCamelCase__     =       field(
     default=__SCREAMING_SNAKE_CASE ,				metadata={'help': 'Attention dropout probability. Goes into model.config.'} )
 UpperCamelCase__     =       field(
     default='linear' ,				metadata={'help': f"""Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys() )}"""} ,				)








from __future__ import annotations

from typing import Any






def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				if not postfix_notation:
								return 0

				lowercase__  					=     {'''+''', '''-''', '''*''', '''/'''}
				lowercase__  					=     []

				for token in postfix_notation:
								if token in operations:
												lowercase__					,		lowercase__  					=     stack.pop(), stack.pop()
												if token == "+":
																stack.append(a + b							)
												elif token == "-":
																stack.append(a - b							)
												elif token == "*":
																stack.append(a * b							)
												else:
																if a * b < 0 and a % b != 0:
																				stack.append(a // b + 1							)
																else:
																				stack.append(a // b							)
								else:
												stack.append(int(lowerCamelCase_							)							)

				return stack.pop()


if __name__ == "__main__":
							import doctest

							doctest.testmod()




