

'''simple docstring'''





UpperCamelCase_    						=       """Alexander Joslin"""

import operator as op

from .stack import Stack






def 				_lowerCAmelCase			(   __magic_name__						:     str						)				->  int:
						lowercase :							Dict    		={'''*''': op.mul, '''/''': op.truediv, '''+''': op.add, '''-''': op.sub}

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

						for i in equation:
												if i.isdigit():
																		# RULE 1
																		operand_stack.push(int(__magic_name__						)						)
												elif i in operators:
																		# RULE 2
																		operator_stack.push(__magic_name__						)
												elif i == ")":
																		# RULE 4
																		lowercase :							List[str]    		=operator_stack.peek()
																		operator_stack.pop()
																		lowercase :							Dict    		=operand_stack.peek()
																		operand_stack.pop()
																		lowercase :							Tuple    		=operand_stack.peek()
																		operand_stack.pop()

																		lowercase :							Union[str, Any]    		=operators[opr](__magic_name__   , __magic_name__						)
																		operand_stack.push(__magic_name__						)

    # RULE 5
						return operand_stack.peek()


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








'''simple docstring'''





from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase_    						=       logging.get_logger(__name__)

UpperCamelCase_    						=       {
    """facebook/s2t-wav2vec2-large-en-de""": (
        """https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/config.json"""
    ),
    # See all Speech2Text models at https://huggingface.co/models?filter=speech2text2
}





class 		__SCREAMING_SNAKE_CASE							(			lowercase__      ):
				lowerCamelCase_		       =    'speech_to_text_2'
				lowerCamelCase_		       =    ['past_key_values']
				lowerCamelCase_		       =    {'num_attention_heads': 'decoder_attention_heads', 'hidden_size': 'd_model'}







				def __init__(       self     :		int		,					UpperCAmelCase__     :		Dict=10000		,					UpperCAmelCase__     :		Optional[int]=6		,					UpperCAmelCase__     :		str=2048		,					UpperCAmelCase__     :		Optional[Any]=4		,					UpperCAmelCase__     :		Union[str, Any]=0.0		,					UpperCAmelCase__     :		Optional[Any]=True		,					UpperCAmelCase__     :		Optional[Any]="relu"		,					UpperCAmelCase__     :		List[str]=256		,					UpperCAmelCase__     :		Union[str, Any]=0.1		,					UpperCAmelCase__     :		List[Any]=0.0		,					UpperCAmelCase__     :		Optional[Any]=0.0		,					UpperCAmelCase__     :		Tuple=0.02		,					UpperCAmelCase__     :		int=2		,					UpperCAmelCase__     :		str=True		,					UpperCAmelCase__     :		str=1		,					UpperCAmelCase__     :		Optional[Any]=0		,					UpperCAmelCase__     :		Optional[int]=2		,					UpperCAmelCase__     :		List[Any]=1024		,					**UpperCAmelCase__     :		Dict		,					):
										'''simple docstring'''
										lowercase :							List[str]    		=vocab_size
										lowercase :							Optional[int]    		=d_model
										lowercase :							Optional[Any]    		=decoder_ffn_dim
										lowercase :							Any    		=decoder_layers
										lowercase :							Dict    		=decoder_attention_heads
										lowercase :							List[Any]    		=dropout
										lowercase :							List[Any]    		=attention_dropout
										lowercase :							Any    		=activation_dropout
										lowercase :							Optional[Any]    		=activation_function
										lowercase :							Optional[int]    		=init_std
										lowercase :							Dict    		=decoder_layerdrop
										lowercase :							Optional[int]    		=use_cache
										lowercase :							Optional[Any]    		=decoder_layers
										lowercase :							List[str]    		=scale_embedding  # scale factor will be sqrt(d_model) if True
										lowercase :							str    		=max_target_positions

										super().__init__(
										    pad_token_id=UpperCAmelCase__		,					bos_token_id=UpperCAmelCase__		,					eos_token_id=UpperCAmelCase__		,					decoder_start_token_id=UpperCAmelCase__		,					**UpperCAmelCase__		,					)





