




"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase__  		=						logging.get_logger(__name__)

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


class        a				(		lowerCAmelCase_   ):
    _snake_case     :  str     							=							'roberta-prelayernorm'


    def __init__(					self	:  Optional[Any]   ,				__lowerCAmelCase	:  Optional[Any]=5_0265   ,				__lowerCAmelCase	:  Optional[int]=768   ,				__lowerCAmelCase	:  Union[str, Any]=12   ,				__lowerCAmelCase	:  Union[str, Any]=12   ,				__lowerCAmelCase	:  Tuple=3072   ,				__lowerCAmelCase	:  Dict="gelu"   ,				__lowerCAmelCase	:  Union[str, Any]=0.1   ,				__lowerCAmelCase	:  Dict=0.1   ,				__lowerCAmelCase	:  int=512   ,				__lowerCAmelCase	:  Dict=2   ,				__lowerCAmelCase	:  List[str]=0.02   ,				__lowerCAmelCase	:  Union[str, Any]=1e-1_2   ,				__lowerCAmelCase	:  int=1   ,				__lowerCAmelCase	:  List[str]=0   ,				__lowerCAmelCase	:  Optional[int]=2   ,				__lowerCAmelCase	:  Any="absolute"   ,				__lowerCAmelCase	:  int=True   ,				__lowerCAmelCase	:  List[Any]=None   ,				**__lowerCAmelCase	:  Union[str, Any]   ,				):
      super().__init__(pad_token_id=__lowerCAmelCase   ,				bos_token_id=__lowerCAmelCase   ,				eos_token_id=__lowerCAmelCase   ,				**__lowerCAmelCase					)

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



class        a				(		lowerCAmelCase_   ):


    @property
    def      lowerCAmelCase_  (					self	:  Optional[Any]					):
      if self.task == "multiple-choice":
        _UpperCAmelCase						 =      {0: """batch""", 1: """choice""", 2: """sequence"""}
      else:
        _UpperCAmelCase						 =      {0: """batch""", 1: """sequence"""}
      return OrderedDict(
          [
              ("""input_ids""", dynamic_axis),
              ("""attention_mask""", dynamic_axis),
          ]					)

"""simple docstring"""


from __future__ import annotations






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  return [ord(lowercase		) - 96 for elem in plain]






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  return "".join(chr(elem + 96		) for elem in encoded		)






def     __UpperCAmelCase					(			):







  """simple docstring"""
  _UpperCAmelCase						 =      encode(input("""-> """		).strip().lower()		)
  print("""Encoded: """   ,lowercase		)
  print("""Decoded:"""   ,decode(lowercase		)		)


if __name__ == "__main__":
    main()
