



def A						(       __UpperCamelCase					)						->      Dict:
			A__       =    []
			A__       =    []
			A__       =    {
			    '^': 3,
			    '*': 2,
			    '/': 2,
			    '%': 2,
			    '+': 1,
			    '-': 1,
			}  # Priority of each operator
			A__       =    len(__UpperCamelCase					) if (len(__UpperCamelCase					) > 7) else 7

			# Print table header for output
			print(
			    'Symbol'.center(8					) ,	'Stack'.center(__UpperCamelCase					) ,	'Postfix'.center(__UpperCamelCase					) ,	sep=' | ' ,	)
			print('-' * (print_width * 3 + 7)					)

			for x in infix:
						if x.isalpha() or x.isdigit():
									post_fix.append(__UpperCamelCase					)  # if x is Alphabet / Digit, add it to Postfix
						elif x == "(":
									stack.append(__UpperCamelCase					)  # if x is "(" push to Stack
						elif x == ")":  # if x is ")" pop stack until "(" is encountered
									while stack[-1] != "(":
												post_fix.append(stack.pop()					)  # Pop stack & add the content to Postfix
									stack.pop()
						else:
									if len(__UpperCamelCase					) == 0:
												stack.append(__UpperCamelCase					)  # If stack is empty, push x to stack
									else:  # while priority of x is not > priority of element in the stack
												while len(__UpperCamelCase					) > 0 and priority[x] <= priority[stack[-1]]:
															post_fix.append(stack.pop()					)  # pop stack & add to Postfix
												stack.append(__UpperCamelCase					)  # push x to stack

						print(
						    x.center(8					) ,	(''.join(__UpperCamelCase					)).ljust(__UpperCamelCase					) ,	(''.join(__UpperCamelCase					)).ljust(__UpperCamelCase					) ,	sep=' | ' ,	)  # Output in tabular format

			while len(__UpperCamelCase					) > 0:  # while stack is not empty
						post_fix.append(stack.pop()					)  # pop stack & add to Postfix
						print(
						    ' '.center(8					) ,	(''.join(__UpperCamelCase					)).ljust(__UpperCamelCase					) ,	(''.join(__UpperCamelCase					)).ljust(__UpperCamelCase					) ,	sep=' | ' ,	)  # Output in tabular format

			return "".join(__UpperCamelCase					)  # return Postfix as str


def A						(       __UpperCamelCase					)						->      Optional[Any]:
			A__       =    list(infix[::-1]					)  # reverse the infix equation

			for i in range(len(__UpperCamelCase					)					):
						if infix[i] == "(":
									A__       =    ')'  # change "(" to ")"
						elif infix[i] == ")":
									A__       =    '('  # change ")" to "("

			return (infix_2_postfix(''.join(__UpperCamelCase					)					))[
			    ::-1
			]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
							SCREAMING_SNAKE_CASE__       =      input('''\nEnter an Infix Equation = ''')  # Input an Infix equation
							SCREAMING_SNAKE_CASE__       =      ''''''.join(Infix.split())  # Remove spaces from the input
							print('''\n\t''', Infix, '''(Infix) -> ''', infix_2_prefix(Infix), '''(Prefix)''')









from collections import OrderedDict
from typing import Mapping

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


SCREAMING_SNAKE_CASE__       =      logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__       =      {
    '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/config.json''',
    '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/config.json''',
    '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/config.json''',
    '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/config.json''',
    '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json''',
    '''roberta-large-openai-detector''': '''https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json''',
}


class      __lowerCAmelCase     (		UpperCAmelCase_      ):
					"""simple docstring"""






					A__				:		List[str]			       =    "roberta"



					def __init__(     self					:       List[str]				,					_snake_case					:       Union[str, Any]=5_02_65				,					_snake_case					:       List[Any]=7_68				,					_snake_case					:       List[str]=12				,					_snake_case					:       List[str]=12				,					_snake_case					:       Any=30_72				,					_snake_case					:       Union[str, Any]="gelu"				,					_snake_case					:       int=0.1				,					_snake_case					:       Union[str, Any]=0.1				,					_snake_case					:       Tuple=5_12				,					_snake_case					:       Union[str, Any]=2				,					_snake_case					:       Any=0.02				,					_snake_case					:       Any=1E-12				,					_snake_case					:       List[Any]=1				,					_snake_case					:       int=0				,					_snake_case					:       Any=2				,					_snake_case					:       Optional[Any]="absolute"				,					_snake_case					:       int=True				,					_snake_case					:       Any=None				,					**_snake_case					:       Any				,					):






								"""simple docstring"""


								super().__init__(pad_token_id=_snake_case				,					bos_token_id=_snake_case				,					eos_token_id=_snake_case				,					**_snake_case					)

								A__       =    vocab_size
								A__       =    hidden_size
								A__       =    num_hidden_layers
								A__       =    num_attention_heads
								A__       =    hidden_act
								A__       =    intermediate_size
								A__       =    hidden_dropout_prob
								A__       =    attention_probs_dropout_prob
								A__       =    max_position_embeddings
								A__       =    type_vocab_size
								A__       =    initializer_range
								A__       =    layer_norm_eps
								A__       =    position_embedding_type
								A__       =    use_cache
								A__       =    classifier_dropout







class      __lowerCAmelCase     (		UpperCAmelCase_      ):
					"""simple docstring"""






					@property
					def     _a							(     self					:       Dict					):






								"""simple docstring"""


								if self.task == "multiple-choice":
											A__       =    {0: 'batch', 1: 'choice', 2: 'sequence'}
								else:
											A__       =    {0: 'batch', 1: 'sequence'}
								return OrderedDict(
								    [
								        ('input_ids', dynamic_axis),
								        ('attention_mask', dynamic_axis),
								    ]					)




