from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


snake_case      =    logging.get_logger(__name__)

snake_case      =    {
    'andreasmadsen/efficient_mlm_m0.40': (
        'https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json'
    ),
}



class __A     (      _lowerCamelCase						):

							'''simple docstring'''

							a_     =					'''roberta-prelayernorm'''






							def __init__(				self   ,	_snake_case=5_0265   ,	_snake_case=768   ,	_snake_case=12   ,	_snake_case=12   ,	_snake_case=3072   ,	_snake_case="gelu"   ,	_snake_case=0.1   ,	_snake_case=0.1   ,	_snake_case=512   ,	_snake_case=2   ,	_snake_case=0.02   ,	_snake_case=1E-1_2   ,	_snake_case=1   ,	_snake_case=0   ,	_snake_case=2   ,	_snake_case="absolute"   ,	_snake_case=True   ,	_snake_case=None   ,	**_snake_case   ,	):
												super().__init__(pad_token_id=lowercase_   ,	bos_token_id=lowercase_   ,	eos_token_id=lowercase_   ,	**lowercase_ )

												_lowerCAmelCase			:		Dict          = vocab_size
												_lowerCAmelCase			:		Tuple          = hidden_size
												_lowerCAmelCase			:		str          = num_hidden_layers
												_lowerCAmelCase			:		Any          = num_attention_heads
												_lowerCAmelCase			:		Any          = hidden_act
												_lowerCAmelCase			:		Optional[int]          = intermediate_size
												_lowerCAmelCase			:		List[Any]          = hidden_dropout_prob
												_lowerCAmelCase			:		Tuple          = attention_probs_dropout_prob
												_lowerCAmelCase			:		Union[str, Any]          = max_position_embeddings
												_lowerCAmelCase			:		int          = type_vocab_size
												_lowerCAmelCase			:		List[Any]          = initializer_range
												_lowerCAmelCase			:		Any          = layer_norm_eps
												_lowerCAmelCase			:		List[str]          = position_embedding_type
												_lowerCAmelCase			:		Optional[int]          = use_cache
												_lowerCAmelCase			:		Optional[Any]          = classifier_dropout



class __A     (      _lowerCamelCase						):

							'''simple docstring'''

							@property
							def 	SCREAMING_SNAKE_CASE__			(				self ):
												if self.task == "multiple-choice":
																	_lowerCAmelCase			:		Dict          = {0: "batch", 1: "choice", 2: "sequence"}
												else:
																	_lowerCAmelCase			:		Optional[int]          = {0: "batch", 1: "sequence"}
												return OrderedDict(
												    [
												        ("input_ids", dynamic_axis),
												        ("attention_mask", dynamic_axis),
												    ] )












'''simple docstring'''

import operator as op


def 						__magic_name__       (      __UpperCAmelCase      )						->   Dict:

					'''simple docstring'''

					snake_case_		     =							[]
					snake_case_		     =							lambda __UpperCAmelCase, __UpperCAmelCase      : int(x / y      )  # noqa: E731 integer division operation
					snake_case_		     =							{
					    '''^''': 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:
															snake_case_		     =							stack.pop()  # pop stack
															# output in tabular format
															print(''''''.rjust(8      ), ('''pop(''' + b + ''')''').ljust(12      ), ''','''.join(__UpperCAmelCase      ), sep=''' | '''      )

															snake_case_		     =							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    :							Any										=    input('\n\nEnter a Postfix Equation (space separated) = ').split(' ')
							print('\n\tResult = ', solve(Postfix))

