


"""simple docstring"""


import operator as op


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




			__lowerCAmelCase				    =			[]
			__lowerCAmelCase				    =			lambda _UpperCamelCase    , _UpperCamelCase      : int(x / y      )  # noqa: E731 integer division operation
			__lowerCAmelCase				    =			{
			    "^": op.pow,
			    "*": op.mul,
			    "/": div,
			    "+": op.add,
			    "-": op.sub,
			}  # operators & their respective operation

			# print table header
			print("Symbol".center(8      )    , "Action".center(12      )    , "Stack"    , sep=" | "      )
			print("-" * (30 + len(_UpperCamelCase      ))      )

			for x in post_fix:
						if x.isdigit():  # if x in digit
									stack.append(_UpperCamelCase      )  # append x to stack
									# output in tabular format
									print(x.rjust(8      )    , ("push(" + x + ")").ljust(12      )    , ",".join(_UpperCamelCase      )    , sep=" | "      )
						else:
									__lowerCAmelCase				    =			stack.pop()  # pop stack
									# output in tabular format
									print("".rjust(8      )    , ("pop(" + b + ")").ljust(12      )    , ",".join(_UpperCamelCase      )    , sep=" | "      )

									__lowerCAmelCase				    =			stack.pop()  # pop stack
									# output in tabular format
									print("".rjust(8      )    , ("pop(" + a + ")").ljust(12      )    , ",".join(_UpperCamelCase      )    , sep=" | "      )

									stack.append(
									    str(opr[x](int(_UpperCamelCase      )    , int(_UpperCamelCase      )      )      )      )  # evaluate the 2 values popped from stack & push result to stack
									# output in tabular format
									print(
									    x.rjust(8      )    , ("push(" + a + x + b + ")").ljust(12      )    , ",".join(_UpperCamelCase      )    , sep=" | "    , )

			return int(stack[0]      )


if __name__ == "__main__":
	A     :   Optional[Any]			    =			input("\n\nEnter a Postfix Equation (space separated) = ").split(" ")
	print("\n\tResult = ", solve(Postfix))








"""simple docstring"""


import logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


A     :   Dict			    =			logging.getLogger(__name__)
@dataclass
class   _UpperCamelCase  (   lowerCAmelCase__		):
							'''simple docstring'''







							__UpperCAmelCase						:    Optional[float]				      =field(
							    default=0.0       ,metadata={"""help""": """The label smoothing epsilon to apply (if not zero)."""}		)
							__UpperCAmelCase						:    bool				      =field(default=lowerCAmelCase__       ,metadata={"""help""": """Whether to SortishSamler or not."""}		)
							__UpperCAmelCase						:    bool				      =field(
							    default=lowerCAmelCase__       ,metadata={"""help""": """Whether to use generate to calculate generative metrics (ROUGE, BLEU)."""}		)
							__UpperCAmelCase						:    bool				      =field(default=lowerCAmelCase__       ,metadata={"""help""": """whether to use adafactor"""}		)
							__UpperCAmelCase						:    Optional[float]				      =field(
							    default=lowerCAmelCase__       ,metadata={"""help""": """Encoder layer dropout probability. Goes into model.config."""}		)
							__UpperCAmelCase						:    Optional[float]				      =field(
							    default=lowerCAmelCase__       ,metadata={"""help""": """Decoder layer dropout probability. Goes into model.config."""}		)
							__UpperCAmelCase						:    Optional[float]				      =field(default=lowerCAmelCase__       ,metadata={"""help""": """Dropout probability. Goes into model.config."""}		)
							__UpperCAmelCase						:    Optional[float]				      =field(
							    default=lowerCAmelCase__       ,metadata={"""help""": """Attention dropout probability. Goes into model.config."""}		)
							__UpperCAmelCase						:    Optional[str]				      =field(
							    default="""linear"""       ,metadata={"""help""": F'''Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()		)}'''}       ,)




