





import warnings

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


UpperCAmelCase_					:   Dict 							=						logging.get_logger(__name__)

UpperCAmelCase_					:   Union[str, Any] 							=						{
    """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json""",
}







class      lowercase__    (							__A  ):
  __UpperCamelCase	     =  """mvp"""
  __UpperCamelCase	     =  ["""past_key_values"""]
  __UpperCamelCase	     =  {"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}







  def __init__(	self    ,						_lowercase=50_267    ,						_lowercase=1_024    ,						_lowercase=12    ,						_lowercase=4_096    ,						_lowercase=16    ,						_lowercase=12    ,						_lowercase=4_096    ,						_lowercase=16    ,						_lowercase=0.0    ,						_lowercase=0.0    ,						_lowercase="gelu"    ,						_lowercase=1_024    ,						_lowercase=0.1    ,						_lowercase=0.0    ,						_lowercase=0.0    ,						_lowercase=0.02    ,						_lowercase=0.0    ,						_lowercase=False    ,						_lowercase=True    ,						_lowercase=1    ,						_lowercase=0    ,						_lowercase=2    ,						_lowercase=True    ,						_lowercase=2    ,						_lowercase=2    ,						_lowercase=False    ,						_lowercase=100    ,						_lowercase=800    ,						**_lowercase    ,						):
       lowerCAmelCase_					:       List[Any]    =		vocab_size
       lowerCAmelCase_					:       str    =		max_position_embeddings
       lowerCAmelCase_					:       Union[str, Any]    =		d_model
       lowerCAmelCase_					:       List[Any]    =		encoder_ffn_dim
       lowerCAmelCase_					:       Tuple    =		encoder_layers
       lowerCAmelCase_					:       Optional[int]    =		encoder_attention_heads
       lowerCAmelCase_					:       str    =		decoder_ffn_dim
       lowerCAmelCase_					:       Union[str, Any]    =		decoder_layers
       lowerCAmelCase_					:       str    =		decoder_attention_heads
       lowerCAmelCase_					:       Optional[Any]    =		dropout
       lowerCAmelCase_					:       int    =		attention_dropout
       lowerCAmelCase_					:       Tuple    =		activation_dropout
       lowerCAmelCase_					:       List[Any]    =		activation_function
       lowerCAmelCase_					:       List[str]    =		init_std
       lowerCAmelCase_					:       int    =		encoder_layerdrop
       lowerCAmelCase_					:       Optional[int]    =		decoder_layerdrop
       lowerCAmelCase_					:       Any    =		classifier_dropout
       lowerCAmelCase_					:       Tuple    =		use_cache
       lowerCAmelCase_					:       int    =		encoder_layers
       lowerCAmelCase_					:       Any    =		scale_embedding  # scale factor will be sqrt(d_model) if True
       lowerCAmelCase_					:       Optional[Any]    =		use_prompt
       lowerCAmelCase_					:       List[str]    =		prompt_length
       lowerCAmelCase_					:       str    =		prompt_mid_dim

       super().__init__(
           pad_token_id=_lowercase    ,						bos_token_id=_lowercase    ,						eos_token_id=_lowercase    ,						is_encoder_decoder=_lowercase    ,						decoder_start_token_id=_lowercase    ,						forced_eos_token_id=_lowercase    ,						**_lowercase    ,						)

       if self.forced_bos_token_id is None and kwargs.get("""force_bos_token_to_be_generated"""    ,						_lowercase						):
            lowerCAmelCase_					:       str    =		self.bos_token_id
            warnings.warn(
                F'Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. '
                """The config can simply be saved and uploaded again to be fixed."""						)







UpperCAmelCase_					:   str 							=						"""Alexander Joslin"""

import operator as op

from .stack import Stack






def 							_lowerCAmelCase (  _a   :					str			)	->			int:
     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(_a			)			)
          elif i in operators:
               # RULE 2
               operator_stack.push(_a			)
          elif i == ")":
               # RULE 4
               lowerCAmelCase_					:       Optional[int]    =		operator_stack.peek()
               operator_stack.pop()
               lowerCAmelCase_					:       Union[str, Any]    =		operand_stack.peek()
               operand_stack.pop()
               lowerCAmelCase_					:       List[str]    =		operand_stack.peek()
               operand_stack.pop()

               lowerCAmelCase_					:       Dict    =		operators[opr](_a					,   _a			)
               operand_stack.push(_a			)

    # RULE 5
     return operand_stack.peek()


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