





"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase__				  =   logging.get_logger(__name__)

lowerCamelCase__				  =   {
    # See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}



class      __SCREAMING_SNAKE_CASE    (						_UpperCamelCase   ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__							:Dict	     =					"megatron-bert"

  def __init__(		self   :       int					,   __a   :       List[str]=2_9056					,   __a   :       Dict=1024					,   __a   :       Optional[Any]=24					,   __a   :       str=16					,   __a   :       List[Any]=4096					,   __a   :       str="gelu"					,   __a   :       Optional[Any]=0.1					,   __a   :       Any=0.1					,   __a   :       Optional[int]=512					,   __a   :       int=2					,   __a   :       Tuple=0.02					,   __a   :       str=1e-1_2					,   __a   :       Optional[int]=0					,   __a   :       Optional[Any]="absolute"					,   __a   :       Any=True					,   **__a   :       List[Any]					,   )		->				Tuple:
        super().__init__(pad_token_id=__a					,   **__a	)

        _UpperCamelCase      :	Any						=       vocab_size
        _UpperCamelCase      :	int						=       hidden_size
        _UpperCamelCase      :	int						=       num_hidden_layers
        _UpperCamelCase      :	List[Any]						=       num_attention_heads
        _UpperCamelCase      :	List[str]						=       hidden_act
        _UpperCamelCase      :	Union[str, Any]						=       intermediate_size
        _UpperCamelCase      :	List[Any]						=       hidden_dropout_prob
        _UpperCamelCase      :	Tuple						=       attention_probs_dropout_prob
        _UpperCamelCase      :	Tuple						=       max_position_embeddings
        _UpperCamelCase      :	Optional[Any]						=       type_vocab_size
        _UpperCamelCase      :	Dict						=       initializer_range
        _UpperCamelCase      :	Union[str, Any]						=       layer_norm_eps
        _UpperCamelCase      :	Any						=       position_embedding_type
        _UpperCamelCase      :	Optional[int]						=       use_cache







"""simple docstring"""


from __future__ import annotations

import string
from itertools import cycle, product
from pathlib import Path

lowerCamelCase__				  =   (
    string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
lowerCamelCase__				  =   [ord(letter) for letter in string.ascii_lowercase]
lowerCamelCase__				  =   {ord(char) for char in VALID_CHARS}

lowerCamelCase__				  =   ["the", "be", "to", "of", "and", "in", "that", "have"]




def 					lowercase__    (					lowercase_		,lowercase_			)					->		str | None:




      """simple docstring"""

      _UpperCamelCase      :	str						=       ""
      _UpperCamelCase      :	int
      _UpperCamelCase      :	int
      _UpperCamelCase      :	int

      for keychar, cipherchar in zip(cycle(lowercase_			)		,lowercase_			):
            _UpperCamelCase      :	Dict						=       cipherchar ^ keychar
            if decodedchar not in VALID_INTS:
                  return None
            decoded += chr(lowercase_			)

      return decoded




def 					lowercase__    (					lowercase_			)					->		list[str]:




      """simple docstring"""

      _UpperCamelCase      :	list[str]						=       []
      for key in product(lowercase_		,repeat=3			):
            _UpperCamelCase      :	int						=       try_key(lowercase_		,lowercase_			)
            if encoded is not None:
                  possibles.append(lowercase_			)
      return possibles




def 					lowercase__    (					lowercase_		,lowercase_			)					->		list[str]:




      """simple docstring"""

      return [possible for possible in possibles if common_word in possible.lower()]




def 					lowercase__    (					lowercase_ = "p059_cipher.txt"			)					->		int:




      """simple docstring"""

      _UpperCamelCase      :	list[int]
      _UpperCamelCase      :	list[str]
      _UpperCamelCase      :	str
      _UpperCamelCase      :	str
      _UpperCamelCase      :	str						=       Path(lowercase_			).parent.joinpath(lowercase_			).read_text(encoding="utf-8"			)

      _UpperCamelCase      :	Optional[Any]						=       [int(lowercase_			) for number in data.strip().split(","			)]

      _UpperCamelCase      :	List[str]						=       filter_valid_chars(lowercase_			)
      for common_word in COMMON_WORDS:
            _UpperCamelCase      :	Union[str, Any]						=       filter_common_word(lowercase_		,lowercase_			)
            if len(lowercase_			) == 1:
                  break

      _UpperCamelCase      :	Union[str, Any]						=       possibles[0]
      return sum(ord(lowercase_			) for char in decoded_text			)


if __name__ == "__main__":
  print(f"""{solution() = }""")
