


'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


a_  :				Optional[int]						= logging.get_logger(__name__)

a_  :				str						= {
    """andreasmadsen/efficient_mlm_m0.40""": (
        """https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"""
    ),
}





class      snake_case    (    __lowerCAmelCase			):





  """simple docstring"""




  _lowerCamelCase		    =  "roberta-prelayernorm"






  def __init__(    self			,  UpperCamelCase=5_0265			,  UpperCamelCase=768			,  UpperCamelCase=12			,  UpperCamelCase=12			,  UpperCamelCase=3072			,  UpperCamelCase="gelu"			,  UpperCamelCase=0.1			,  UpperCamelCase=0.1			,  UpperCamelCase=512			,  UpperCamelCase=2			,  UpperCamelCase=0.02			,  UpperCamelCase=1e-12			,  UpperCamelCase=1			,  UpperCamelCase=0			,  UpperCamelCase=2			,  UpperCamelCase="absolute"			,  UpperCamelCase=True			,  UpperCamelCase=None			,  **UpperCamelCase			,  ):







   """simple docstring"""
   super().__init__(pad_token_id=UpperCamelCase			,  bos_token_id=UpperCamelCase			,  eos_token_id=UpperCamelCase			,  **UpperCamelCase     )

   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      snake_case    (    __lowerCAmelCase			):





  """simple docstring"""




  @property
  def   snake_case		(    self     ):







   """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),
       ]     )




"""simple docstring"""
def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->Union[str, Any]:
  if height >= 1:
    move_tower(height - 1		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )
    move_disk(_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )
    move_tower(height - 1		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->Union[str, Any]:
  print('moving disk from'		,     _SCREAMING_SNAKE_CASE		,     'to'		,     _SCREAMING_SNAKE_CASE   )







def 						__a   (	)	->List[str]:
  a__:     Dict										=	int(input('Height of hanoi: '   ).strip()   )
  move_tower(_SCREAMING_SNAKE_CASE		,     'A'		,     'B'		,     'C'   )


if __name__ == "__main__":
 main()


