



from collections import OrderedDict
from typing import Mapping

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


_lowercase     							=						logging.get_logger(__name__)

_lowercase     							=						{
    """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/config.json""",
    """distilbert-base-uncased-distilled-squad""": (
        """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"""
    ),
    """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/config.json""",
    """distilbert-base-cased-distilled-squad""": (
        """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"""
    ),
    """distilbert-base-german-cased""": """https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json""",
    """distilbert-base-multilingual-cased""": (
        """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"""
    ),
    """distilbert-base-uncased-finetuned-sst-2-english""": (
        """https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"""
    ),
}
class 				__A					( _snake_case      ):
   UpperCamelCase					:List[str]     =			"""distilbert"""
   UpperCamelCase					:Optional[Any]     =			{
       """hidden_size""": """dim""",
       """num_attention_heads""": """n_heads""",
       """num_hidden_layers""": """n_layers""",
   }





   def __init__(self							,    __magic_name__=30522							,    __magic_name__=512							,    __magic_name__=False							,    __magic_name__=6							,    __magic_name__=12							,    __magic_name__=768							,    __magic_name__=4 * 768							,    __magic_name__=0.1							,    __magic_name__=0.1							,    __magic_name__="gelu"							,    __magic_name__=0.02							,    __magic_name__=0.1							,    __magic_name__=0.2							,    __magic_name__=0							,    **__magic_name__							,    ):
      lowerCamelCase__ :      str								=		vocab_size
      lowerCamelCase__ :      List[Any]								=		max_position_embeddings
      lowerCamelCase__ :      Tuple								=		sinusoidal_pos_embds
      lowerCamelCase__ :      int								=		n_layers
      lowerCamelCase__ :      Any								=		n_heads
      lowerCamelCase__ :      List[str]								=		dim
      lowerCamelCase__ :      Optional[int]								=		hidden_dim
      lowerCamelCase__ :      List[Any]								=		dropout
      lowerCamelCase__ :      str								=		attention_dropout
      lowerCamelCase__ :      Optional[Any]								=		activation
      lowerCamelCase__ :      List[str]								=		initializer_range
      lowerCamelCase__ :      Union[str, Any]								=		qa_dropout
      lowerCamelCase__ :      Tuple								=		seq_classif_dropout
      super().__init__(**snake_case_							,    pad_token_id=snake_case_				)







class 				__A					( _snake_case      ):





   @property
   def        _snake_case    (self				):
      if self.task == "multiple-choice":
         lowerCamelCase__ :      Tuple								=		{0: "batch", 1: "choice", 2: "sequence"}
      else:
         lowerCamelCase__ :      str								=		{0: "batch", 1: "sequence"}
      return OrderedDict(
          [
              ("""input_ids""", dynamic_axis),
              ("""attention_mask""", dynamic_axis),
          ]				)








from __future__ import annotations

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

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

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






def      _A				(UpperCamelCase		:      list[int]      ,			UpperCamelCase		:      tuple[int, ...] )  ->str | None:



			'''simple docstring'''







			lowerCamelCase__ :      str								=		""
			lowerCamelCase__ :      int
			lowerCamelCase__ :      int
			lowerCamelCase__ :      int

			for keychar, cipherchar in zip(cycle(UpperCamelCase )      ,			UpperCamelCase ):
						lowerCamelCase__ :      str								=		cipherchar ^ keychar
						if decodedchar not in VALID_INTS:
									return None
						decoded += chr(UpperCamelCase )

			return decoded






def      _A				(UpperCamelCase		:      list[int] )  ->list[str]:



			'''simple docstring'''







			lowerCamelCase__ :      list[str]								=		[]
			for key in product(UpperCamelCase      ,			repeat=3 ):
						lowerCamelCase__ :      Union[str, Any]								=		try_key(UpperCamelCase      ,			UpperCamelCase )
						if encoded is not None:
									possibles.append(UpperCamelCase )
			return possibles






def      _A				(UpperCamelCase		:      list[str]      ,			UpperCamelCase		:      str )  ->list[str]:



			'''simple docstring'''







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






def      _A				(UpperCamelCase		:      str = "p059_cipher.txt" )  ->int:



			'''simple docstring'''







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

			lowerCamelCase__ :      str								=		[int(UpperCamelCase ) for number in data.strip().split(""",""" )]

			lowerCamelCase__ :      Optional[Any]								=		filter_valid_chars(UpperCamelCase )
			for common_word in COMMON_WORDS:
						lowerCamelCase__ :      Optional[int]								=		filter_common_word(UpperCamelCase      ,			UpperCamelCase )
						if len(UpperCamelCase ) == 1:
									break

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


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



