


"""simple docstring"""






__snake_case		=   '''Alexander Joslin'''

import operator as op

from .stack import Stack
def       A_   (   _lowerCAmelCase     :					str       ):






     """simple docstring"""

     _a    	=				{'''*''': op.mul, '''/''': op.truediv, '''+''': op.add, '''-''': op.sub}

     _a    	=				Stack()
     _a    	=				Stack()

     for i in equation:
          if i.isdigit():
               # RULE 1
               operand_stack.push(int(_lowerCAmelCase       )       )
          elif i in operators:
               # RULE 2
               operator_stack.push(_lowerCAmelCase       )
          elif i == ")":
               # RULE 4
               _a    	=				operator_stack.peek()
               operator_stack.pop()
               _a    	=				operand_stack.peek()
               operand_stack.pop()
               _a    	=				operand_stack.peek()
               operand_stack.pop()

               _a    	=				operators[opr](_lowerCAmelCase,     _lowerCAmelCase       )
               operand_stack.push(_lowerCAmelCase       )

    # RULE 5
     return operand_stack.peek()


if __name__ == "__main__":
   __snake_case		=   '''(5 + ((4 * 2) * (2 + 3)))'''
   # answer = 45
   print(f'{equation} = {dijkstras_two_stack_algorithm(equation)}')



"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


__snake_case		=       {'''configuration_vit_mae''': ['''VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViTMAEConfig''']}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __snake_case		=       [
       '''VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''ViTMAEForPreTraining''',
       '''ViTMAELayer''',
       '''ViTMAEModel''',
       '''ViTMAEPreTrainedModel''',
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __snake_case		=       [
       '''TFViTMAEForPreTraining''',
       '''TFViTMAEModel''',
       '''TFViTMAEPreTrainedModel''',
   ]

if TYPE_CHECKING:
   from .configuration_vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_vit_mae import (
          VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
          ViTMAEForPreTraining,
          ViTMAELayer,
          ViTMAEModel,
          ViTMAEPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel


else:
   import sys

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