






def        _a  (     UpperCamelCase_					:				Optional[int]   ) ->   Tuple:
						"""simple docstring"""







						lowerCAmelCase__       =						[]
						lowerCAmelCase__       =						[]
						lowerCAmelCase__       =						{
						    "^": 3,
						    "*": 2,
						    "/": 2,
						    "%": 2,
						    "+": 1,
						    "-": 1,
						}  # Priority of each operator
						lowerCAmelCase__       =						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_					:				str   ) ->   int:
						"""simple docstring"""







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

						for i in range(len(UpperCamelCase_   )   ):
												if infix[i] == "(":
																		lowerCAmelCase__       =						")"  # change "(" to ")"
												elif infix[i] == ")":
																		lowerCAmelCase__       =						"("  # change ")" to "("

						return (infix_2_postfix("".join(UpperCamelCase_   )   ))[
						    ::-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)''')














from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a_							=    {'''configuration_ibert''': ['''IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''IBertConfig''', '''IBertOnnxConfig''']}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a_							=    [
	    '''IBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''IBertForMaskedLM''',
	    '''IBertForMultipleChoice''',
	    '''IBertForQuestionAnswering''',
	    '''IBertForSequenceClassification''',
	    '''IBertForTokenClassification''',
	    '''IBertModel''',
	    '''IBertPreTrainedModel''',
	]

if TYPE_CHECKING:
	from .configuration_ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig, IBertOnnxConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_ibert import (
		    IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    IBertForMaskedLM,
		    IBertForMultipleChoice,
		    IBertForQuestionAnswering,
		    IBertForSequenceClassification,
		    IBertForTokenClassification,
		    IBertModel,
		    IBertPreTrainedModel,
		)

else:
	import sys

	a_							=    _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






