


'''simple docstring'''





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

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

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

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

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

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







def 						lowerCamelCase(   a__):
				_SCREAMING_SNAKE_CASE			  =list(infix[::-1])  # reverse the infix equation

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

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


if __name__ == "__main__":
							snake_case_						:			Optional[int]													=							input('''\nEnter an Infix Equation = ''')  # Input an Infix equation
							snake_case_						:			Optional[Any]													=							''''''.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_speech_available, is_torch_available


snake_case_						:			Optional[Any]													=							{
    '''configuration_audio_spectrogram_transformer''': [
        '''AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''ASTConfig''',
    ]
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							snake_case_						:			Optional[Any]													=							[
							    '''AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''ASTForAudioClassification''',
							    '''ASTModel''',
							    '''ASTPreTrainedModel''',
							]

try:
							if not is_speech_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							snake_case_						:			List[Any]													=							['''ASTFeatureExtractor''']

if TYPE_CHECKING:
							from .configuration_audio_spectrogram_transformer import (
							    AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    ASTConfig,
							)

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_audio_spectrogram_transformer import (
														    AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ASTForAudioClassification,
														    ASTModel,
														    ASTPreTrainedModel,
														)

							try:
														if not is_speech_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_audio_spectrogram_transformer import ASTFeatureExtractor


else:
							import sys

							snake_case_						:			Optional[Any]													=							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)