

from .balanced_parentheses import balanced_parentheses
from .stack import Stack



def  snake_case_(_UpperCamelCase	)				->      int:



  """simple docstring"""






  return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(_UpperCamelCase					,			-1	)



def  snake_case_(_UpperCamelCase	)				->      str:



  """simple docstring"""






  if not balanced_parentheses(_UpperCamelCase	):
    raise ValueError('''Mismatched parentheses'''	)
  _snake_case		=				Stack()
  _snake_case		=				[]
  for char in expression_str:
    if char.isalpha() or char.isdigit():
      postfix.append(_UpperCamelCase	)
    elif char == "(":
      stack.push(_UpperCamelCase	)
    elif char == ")":
      while not stack.is_empty() and stack.peek() != "(":
        postfix.append(stack.pop()	)
      stack.pop()
    else:
      while not stack.is_empty() and precedence(_UpperCamelCase	) <= precedence(stack.peek()	):
        postfix.append(stack.pop()	)
      stack.push(_UpperCamelCase	)
  while not stack.is_empty():
    postfix.append(stack.pop()	)
  return " ".join(_UpperCamelCase	)


if __name__ == "__main__":
 from doctest import testmod

 testmod()
 __A     						=      '''a+b*(c^d-e)^(f+g*h)-i'''

 print('''Infix to Postfix Notation demonstration:\n''')
 print('''Infix notation: ''' + expression)
 print('''Postfix notation: ''' + infix_to_postfix(expression))




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


__A     						=      {'''configuration_hubert''': ['''HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''HubertConfig''']}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A     						=      [
     '''HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''HubertForCTC''',
     '''HubertForSequenceClassification''',
     '''HubertModel''',
     '''HubertPreTrainedModel''',
 ]


try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A     						=      [
     '''TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''TFHubertForCTC''',
     '''TFHubertModel''',
     '''TFHubertPreTrainedModel''',
 ]

if TYPE_CHECKING:
 from .configuration_hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_hubert import (
      HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
      HubertForCTC,
      HubertForSequenceClassification,
      HubertModel,
      HubertPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_hubert import (
      TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFHubertForCTC,
      TFHubertModel,
      TFHubertPreTrainedModel,
  )


else:
 import sys

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

