






from collections import OrderedDict
from typing import Mapping

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


__A					=	logging.get_logger(__name__)

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



class 				_A			(     UpperCamelCase				):
    """simple docstring"""

    lowerCamelCase	:							Dict				= 'roberta-prelayernorm'



    def __init__(				self      :     int ,     __SCREAMING_SNAKE_CASE      :     Optional[Any]=50265 ,     __SCREAMING_SNAKE_CASE      :     Optional[int]=768 ,     __SCREAMING_SNAKE_CASE      :     Any=12 ,     __SCREAMING_SNAKE_CASE      :     List[str]=12 ,     __SCREAMING_SNAKE_CASE      :     Optional[Any]=3072 ,     __SCREAMING_SNAKE_CASE      :     List[Any]="gelu" ,     __SCREAMING_SNAKE_CASE      :     List[str]=0.1 ,     __SCREAMING_SNAKE_CASE      :     Optional[Any]=0.1 ,     __SCREAMING_SNAKE_CASE      :     Tuple=512 ,     __SCREAMING_SNAKE_CASE      :     Any=2 ,     __SCREAMING_SNAKE_CASE      :     Dict=0.02 ,     __SCREAMING_SNAKE_CASE      :     List[Any]=1e-12 ,     __SCREAMING_SNAKE_CASE      :     Optional[int]=1 ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]=0 ,     __SCREAMING_SNAKE_CASE      :     str=2 ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]="absolute" ,     __SCREAMING_SNAKE_CASE      :     Optional[int]=True ,     __SCREAMING_SNAKE_CASE      :     Tuple=None ,     **__SCREAMING_SNAKE_CASE      :     str ,     )      ->							Any:
           super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE ,     bos_token_id=__SCREAMING_SNAKE_CASE ,     eos_token_id=__SCREAMING_SNAKE_CASE ,     **__SCREAMING_SNAKE_CASE      )

           __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			(     UpperCamelCase				):
    """simple docstring"""

    @property
    def _a							(				self      :     List[str]      )      ->							Mapping[str, Mapping[int, str]]:
           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

from typing import TypedDict
class 				__SCREAMING_SNAKE_CASE							(				_lowerCAmelCase  ):
      __a	       =42
      __a	       =42







def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str     )	->      list[str]:

   """simple docstring"""
   if not isinstance(SCREAMING_SNAKE_CASE__,       SCREAMING_SNAKE_CASE__     ):
      raise TypeError('The parameter s type must be str.'     )

   return [s[i:] + s[:i] for i in range(len(SCREAMING_SNAKE_CASE__     )     )]



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str     )	->      BWTTransformDict:

   """simple docstring"""
   if not isinstance(SCREAMING_SNAKE_CASE__,       SCREAMING_SNAKE_CASE__     ):
      raise TypeError('The parameter s type must be str.'     )
   if not s:
      raise ValueError('The parameter s must not be empty.'     )

   __a					  =     all_rotations(SCREAMING_SNAKE_CASE__     )
   rotations.sort()  # sort the list of rotations in alphabetically order
   # make a string composed of the last char of each rotation
   __a					  =     {
       "bwt_string": "".join([word[-1] for word in rotations]     ),
       "idx_original_string": rotations.index(SCREAMING_SNAKE_CASE__     ),
   }
   return response



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str,       SCREAMING_SNAKE_CASE__:						int     )	->      str:

   """simple docstring"""
   if not isinstance(SCREAMING_SNAKE_CASE__,       SCREAMING_SNAKE_CASE__     ):
      raise TypeError('The parameter bwt_string type must be str.'     )
   if not bwt_string:
      raise ValueError('The parameter bwt_string must not be empty.'     )
   try:
      __a					  =     int(SCREAMING_SNAKE_CASE__     )
   except ValueError:
      raise TypeError(
          'The parameter idx_original_string type must be int or passive'
          ' of cast to int.'     )
   if idx_original_string < 0:
      raise ValueError('The parameter idx_original_string must not be lower than 0.'     )
   if idx_original_string >= len(SCREAMING_SNAKE_CASE__     ):
      raise ValueError(
          'The parameter idx_original_string must be lower than' ' len(bwt_string).'     )

   __a					  =     [''] * len(SCREAMING_SNAKE_CASE__     )
   for _ in range(len(SCREAMING_SNAKE_CASE__     )     ):
      for i in range(len(SCREAMING_SNAKE_CASE__     )     ):
         __a					  =     bwt_string[i] + ordered_rotations[i]
      ordered_rotations.sort()
   return ordered_rotations[idx_original_string]


if __name__ == "__main__":
 __UpperCamelCase   :							Any         =   """Provide a string that I will generate its BWT transform: """
 __UpperCamelCase   :							Dict         =   input(entry_msg).strip()
 __UpperCamelCase   :							Optional[int]         =   bwt_transform(s)
 print(
     f"""Burrows Wheeler transform for string '{s}' results """
     f"""in '{result["bwt_string"]}'"""
 )
 __UpperCamelCase   :							Dict         =   reverse_bwt(result["""bwt_string"""], result["""idx_original_string"""])
 print(
     f"""Reversing Burrows Wheeler transform for entry '{result["bwt_string"]}' """
     f"""we get original string '{original_string}'"""
 )