




_lowerCamelCase      :  Union[str, Any]      						=						"Alexander Joslin"

import operator as op

from .stack import Stack




def 							_UpperCAmelCase  (UpperCamelCase_ : str       ):
				'''simple docstring'''
				_lowerCAmelCase    :    Any										=      {"""*""": op.mul, """/""": op.truediv, """+""": op.add, """-""": op.sub}

				_lowerCAmelCase    :    Stack[int]										=      Stack()
				_lowerCAmelCase    :    Stack[str]										=      Stack()

				for i in equation:
								if i.isdigit():
												# RULE 1
												operand_stack.push(int(UpperCamelCase_       )       )
								elif i in operators:
												# RULE 2
												operator_stack.push(UpperCamelCase_       )
								elif i == ")":
												# RULE 4
												_lowerCAmelCase    :    int										=      operator_stack.peek()
												operator_stack.pop()
												_lowerCAmelCase    :    List[str]										=      operand_stack.peek()
												operand_stack.pop()
												_lowerCAmelCase    :    Union[str, Any]										=      operand_stack.peek()
												operand_stack.pop()

												_lowerCAmelCase    :    Dict										=      operators[opr](UpperCamelCase_      ,    UpperCamelCase_       )
												operand_stack.push(UpperCamelCase_       )

    # RULE 5
				return operand_stack.peek()


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







import logging

from transformers.configuration_utils import PretrainedConfig


_lowerCamelCase      :  Union[str, Any]      						=						logging.getLogger(__name__)
class        __snake_case  (_a		):
				lowerCAmelCase__				=     "masked_bert"



				def __init__(      self      :		Union[str, Any]		,	_UpperCAmelCase      :		Union[str, Any]=3_0522		,	_UpperCAmelCase      :		Optional[Any]=768		,	_UpperCAmelCase      :		List[Any]=12		,	_UpperCAmelCase      :		Dict=12		,	_UpperCAmelCase      :		List[str]=3072		,	_UpperCAmelCase      :		List[Any]="gelu"		,	_UpperCAmelCase      :		Optional[Any]=0.1		,	_UpperCAmelCase      :		Optional[Any]=0.1		,	_UpperCAmelCase      :		List[Any]=512		,	_UpperCAmelCase      :		int=2		,	_UpperCAmelCase      :		Optional[int]=0.02		,	_UpperCAmelCase      :		str=1E-12		,	_UpperCAmelCase      :		Tuple=0		,	_UpperCAmelCase      :		Dict="topK"		,	_UpperCAmelCase      :		List[str]="constant"		,	_UpperCAmelCase      :		Optional[Any]=0.0		,	**_UpperCAmelCase      :		str		,	)  ->    Tuple:





								'''simple docstring'''




								super().__init__(pad_token_id=_UpperCAmelCase		,	**_UpperCAmelCase      )

								_lowerCAmelCase    :    str										=      vocab_size
								_lowerCAmelCase    :    List[str]										=      hidden_size
								_lowerCAmelCase    :    Any										=      num_hidden_layers
								_lowerCAmelCase    :    Optional[Any]										=      num_attention_heads
								_lowerCAmelCase    :    Optional[Any]										=      hidden_act
								_lowerCAmelCase    :    Union[str, Any]										=      intermediate_size
								_lowerCAmelCase    :    Tuple										=      hidden_dropout_prob
								_lowerCAmelCase    :    Optional[int]										=      attention_probs_dropout_prob
								_lowerCAmelCase    :    str										=      max_position_embeddings
								_lowerCAmelCase    :    int										=      type_vocab_size
								_lowerCAmelCase    :    List[str]										=      initializer_range
								_lowerCAmelCase    :    Optional[Any]										=      layer_norm_eps
								_lowerCAmelCase    :    Tuple										=      pruning_method
								_lowerCAmelCase    :    str										=      mask_init
								_lowerCAmelCase    :    List[str]										=      mask_scale

