






'''simple docstring'''



from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE						=	logging.get_logger(__name__)

SCREAMING_SNAKE_CASE						=	{
    'xlm-mlm-en-2048': 'https://huggingface.co/xlm-mlm-en-2048/resolve/main/config.json',
    'xlm-mlm-ende-1024': 'https://huggingface.co/xlm-mlm-ende-1024/resolve/main/config.json',
    'xlm-mlm-enfr-1024': 'https://huggingface.co/xlm-mlm-enfr-1024/resolve/main/config.json',
    'xlm-mlm-enro-1024': 'https://huggingface.co/xlm-mlm-enro-1024/resolve/main/config.json',
    'xlm-mlm-tlm-xnli15-1024': 'https://huggingface.co/xlm-mlm-tlm-xnli15-1024/resolve/main/config.json',
    'xlm-mlm-xnli15-1024': 'https://huggingface.co/xlm-mlm-xnli15-1024/resolve/main/config.json',
    'xlm-clm-enfr-1024': 'https://huggingface.co/xlm-clm-enfr-1024/resolve/main/config.json',
    'xlm-clm-ende-1024': 'https://huggingface.co/xlm-clm-ende-1024/resolve/main/config.json',
    'xlm-mlm-17-1280': 'https://huggingface.co/xlm-mlm-17-1280/resolve/main/config.json',
    'xlm-mlm-100-1280': 'https://huggingface.co/xlm-mlm-100-1280/resolve/main/config.json',
}
class UpperCAmelCase_					(    __A				):




      """simple docstring"""




      UpperCamelCase_								=			'''xlm'''
      UpperCamelCase_								=			{
          '''hidden_size''': '''emb_dim''',
          '''num_attention_heads''': '''n_heads''',
          '''num_hidden_layers''': '''n_layers''',
          '''n_words''': '''vocab_size''',  # For backward compatibility
      }






      def __init__( self			:		List[Any]     ,      UpperCAmelCase			:		Tuple=3_0145     ,      UpperCAmelCase			:		Dict=2048     ,      UpperCAmelCase			:		Optional[Any]=12     ,      UpperCAmelCase			:		str=16     ,      UpperCAmelCase			:		int=0.1     ,      UpperCAmelCase			:		Tuple=0.1     ,      UpperCAmelCase			:		List[str]=True     ,      UpperCAmelCase			:		int=False     ,      UpperCAmelCase			:		Tuple=False     ,      UpperCAmelCase			:		List[Any]=False     ,      UpperCAmelCase			:		List[str]=1     ,      UpperCAmelCase			:		Tuple=True     ,      UpperCAmelCase			:		Optional[Any]=512     ,      UpperCAmelCase			:		Optional[int]=2048**-0.5     ,      UpperCAmelCase			:		Any=1e-12     ,      UpperCAmelCase			:		str=0.0_2     ,      UpperCAmelCase			:		List[Any]=0     ,      UpperCAmelCase			:		Tuple=1     ,      UpperCAmelCase			:		List[str]=2     ,      UpperCAmelCase			:		List[Any]=3     ,      UpperCAmelCase			:		int=5     ,      UpperCAmelCase			:		Any=True     ,      UpperCAmelCase			:		Tuple="first"     ,      UpperCAmelCase			:		Any=True     ,      UpperCAmelCase			:		List[str]=None     ,      UpperCAmelCase			:		Dict=True     ,      UpperCAmelCase			:		Optional[int]=0.1     ,      UpperCAmelCase			:		List[Any]=5     ,      UpperCAmelCase			:		str=5     ,      UpperCAmelCase			:		int=0     ,      UpperCAmelCase			:		int=0     ,      UpperCAmelCase			:		List[str]=2     ,      UpperCAmelCase			:		Tuple=0     ,      **UpperCAmelCase			:		Tuple     ,      )  ->  Union[str, Any]:


       '''simple docstring'''

       lowercase					:   str				  =vocab_size
       lowercase					:   int				  =emb_dim
       lowercase					:   str				  =n_layers
       lowercase					:   str				  =n_heads
       lowercase					:   Optional[int]				  =dropout
       lowercase					:   int				  =attention_dropout
       lowercase					:   int				  =gelu_activation
       lowercase					:   List[Any]				  =sinusoidal_embeddings
       lowercase					:   Any				  =causal
       lowercase					:   Any				  =asm
       lowercase					:   Optional[Any]				  =n_langs
       lowercase					:   Union[str, Any]				  =use_lang_emb
       lowercase					:   Dict				  =layer_norm_eps
       lowercase					:   Any				  =bos_index
       lowercase					:   Any				  =eos_index
       lowercase					:   Optional[Any]				  =pad_index
       lowercase					:   str				  =unk_index
       lowercase					:   Optional[int]				  =mask_index
       lowercase					:   List[Any]				  =is_encoder
       lowercase					:   str				  =max_position_embeddings
       lowercase					:   List[Any]				  =embed_init_std
       lowercase					:   str				  =init_std
       lowercase					:   Optional[Any]				  =summary_type
       lowercase					:   Optional[int]				  =summary_use_proj
       lowercase					:   Any				  =summary_activation
       lowercase					:   Optional[Any]				  =summary_proj_to_labels
       lowercase					:   List[Any]				  =summary_first_dropout
       lowercase					:   int				  =start_n_top
       lowercase					:   List[Any]				  =end_n_top
       lowercase					:   Any				  =mask_token_id
       lowercase					:   Optional[Any]				  =lang_id

       if "n_words" in kwargs:
        lowercase					:   Dict				  =kwargs['''n_words''']

       super().__init__(pad_token_id=UpperCAmelCase     ,      bos_token_id=UpperCAmelCase     ,      **UpperCAmelCase		)





class UpperCAmelCase_					(    __A				):




      """simple docstring"""




      @property
      def 				A__      ( self			:		Optional[Any]		)  ->  Mapping[str, Mapping[int, str]]:


       '''simple docstring'''

       if self.task == "multiple-choice":
        lowercase					:   Union[str, Any]				  ={0: '''batch''', 1: '''choice''', 2: '''sequence'''}
       else:
        lowercase					:   Optional[Any]				  ={0: '''batch''', 1: '''sequence'''}
       return OrderedDict(
           [
               ('''input_ids''', dynamic_axis),
               ('''attention_mask''', dynamic_axis),
               ('''token_type_ids''', dynamic_axis),
           ]		)











'''simple docstring'''



SCREAMING_SNAKE_CASE						=	'Alexander Joslin'

import operator as op

from .stack import Stack


def 							lowercase_				(    __A :       str			)       ->      int:



 """simple docstring"""




 lowercase					:   int				  ={'''*''': 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(__A			)			)
  elif i in operators:
   # RULE 2
   operator_stack.push(__A			)
  elif i == ")":
   # RULE 4
   lowercase					:   Optional[Any]				  =operator_stack.peek()
   operator_stack.pop()
   lowercase					:   Optional[Any]				  =operand_stack.peek()
   operand_stack.pop()
   lowercase					:   Optional[Any]				  =operand_stack.peek()
   operand_stack.pop()

   lowercase					:   List[str]				  =operators[opr](__A					,      __A			)
   operand_stack.push(__A			)

    # RULE 5
 return operand_stack.peek()


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



