
"""simple docstring"""





def 				lowerCamelCase__		(      __snake_case     )							->		Tuple:


					"""simple docstring"""





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

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

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

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

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

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



def 				lowerCamelCase__		(      __snake_case     )							->		Optional[int]:


					"""simple docstring"""





					_UpperCamelCase										=  list(infix[::-1]     )  # reverse the infix equation

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

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


if __name__ == "__main__":
				_a														=		input("""\nEnter an Infix Equation = """)  # Input an Infix equation
				_a														=		"""""".join(Infix.split())  # Remove spaces from the input
				print("""\n\t""", Infix, """(Infix) -> """, infix_2_prefix(Infix), """(Prefix)""")








"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


_a														=		logging.get_logger(__name__)

_a														=		{
    """facebook/xlm-roberta-xl""": """https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json""",
    """facebook/xlm-roberta-xxl""": """https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json""",
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}






class    _UpperCAmelCase(   lowerCamelCase     ):
		lowercase__      =				'xlm-roberta-xl'



		def __init__( self    ,		__a=25_08_80    ,		__a=25_60    ,		__a=36    ,		__a=32    ,		__a=1_02_40    ,		__a="gelu"    ,		__a=0.1    ,		__a=0.1    ,		__a=5_14    ,		__a=1    ,		__a=0.02    ,		__a=1e-05    ,		__a=1    ,		__a=0    ,		__a=2    ,		__a="absolute"    ,		__a=True    ,		__a=None    ,		**__a    ,		)	->	Tuple:






							'''simple docstring'''
							super().__init__(pad_token_id=__a    ,		bos_token_id=__a    ,		eos_token_id=__a    ,		**__a)
							_UpperCamelCase										=  vocab_size
							_UpperCamelCase										=  hidden_size
							_UpperCamelCase										=  num_hidden_layers
							_UpperCamelCase										=  num_attention_heads
							_UpperCamelCase										=  hidden_act
							_UpperCamelCase										=  intermediate_size
							_UpperCamelCase										=  hidden_dropout_prob
							_UpperCamelCase										=  attention_probs_dropout_prob
							_UpperCamelCase										=  max_position_embeddings
							_UpperCamelCase										=  type_vocab_size
							_UpperCamelCase										=  initializer_range
							_UpperCamelCase										=  layer_norm_eps
							_UpperCamelCase										=  position_embedding_type
							_UpperCamelCase										=  use_cache
							_UpperCamelCase										=  classifier_dropout






class    _UpperCAmelCase(   lowerCamelCase     ):



		@property
		def 						UpperCAmelCase							( self)	->	Mapping[str, Mapping[int, str]]:






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






