




from collections import OrderedDict
from typing import Mapping

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


lowerCamelCase    :		Union[str, Any]			   =							logging.get_logger(__name__)

lowerCamelCase    :		Optional[int]			   =							{
    """xlm-roberta-base""": """https://huggingface.co/xlm-roberta-base/resolve/main/config.json""",
    """xlm-roberta-large""": """https://huggingface.co/xlm-roberta-large/resolve/main/config.json""",
    """xlm-roberta-large-finetuned-conll02-dutch""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll02-spanish""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll03-english""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll03-german""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json"""
    ),
}







class   A(						lowerCamelCase__       ):



 '''simple docstring'''


 UpperCamelCase						       =						'xlm-roberta'

 def __init__(    self :  str						,							A_ :  Optional[int]=30522						,							A_ :  Any=768						,							A_ :  Any=12						,							A_ :  str=12						,							A_ :  Dict=3072						,							A_ :  List[str]="gelu"						,							A_ :  Optional[int]=0.1						,							A_ :  Any=0.1						,							A_ :  List[str]=512						,							A_ :  Dict=2						,							A_ :  Dict=0.02						,							A_ :  Dict=1E-12						,							A_ :  Tuple=1						,							A_ :  Optional[int]=0						,							A_ :  Optional[int]=2						,							A_ :  Union[str, Any]="absolute"						,							A_ :  Union[str, Any]=True						,							A_ :  int=None						,							**A_ :  List[str]						,							)       ->     Dict:

       """simple docstring"""






       super().__init__(pad_token_id=A_						,							bos_token_id=A_						,							eos_token_id=A_						,							**A_  )

       lowerCamelCase_							=   vocab_size
       lowerCamelCase_							=   hidden_size
       lowerCamelCase_							=   num_hidden_layers
       lowerCamelCase_							=   num_attention_heads
       lowerCamelCase_							=   hidden_act
       lowerCamelCase_							=   intermediate_size
       lowerCamelCase_							=   hidden_dropout_prob
       lowerCamelCase_							=   attention_probs_dropout_prob
       lowerCamelCase_							=   max_position_embeddings
       lowerCamelCase_							=   type_vocab_size
       lowerCamelCase_							=   initializer_range
       lowerCamelCase_							=   layer_norm_eps
       lowerCamelCase_							=   position_embedding_type
       lowerCamelCase_							=   use_cache
       lowerCamelCase_							=   classifier_dropout







class   A(						lowerCamelCase__       ):



 '''simple docstring'''


 @property
 def     a__			(    self :  Any  )       ->     Dict:

       """simple docstring"""






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









from __future__ import annotations

def       _SCREAMING_SNAKE_CASE      (							lowercase     :	dict     ,							lowercase     :	str					):


      '''simple docstring'''



      lowerCamelCase_					,    lowerCamelCase_							=   set(lowercase					), [start]

      while stack:
            lowerCamelCase_							=   stack.pop()
            explored.add(lowercase					)
            # Differences from BFS:
            # 1) pop last element instead of first one
            # 2) add adjacent elements to stack without exploring them
            for adj in reversed(graph[v]					):
                  if adj not in explored:
                        stack.append(lowercase					)
      return explored


lowerCamelCase    :		int			   =       {
    "A": ["B", "C", "D"],
    "B": ["A", "D", "E"],
    "C": ["A", "F"],
    "D": ["B", "D"],
    "E": ["B", "F"],
    "F": ["C", "E", "G"],
    "G": ["F"],
}

if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(depth_first_search(G, "A"))



