
def 				SCREAMING_SNAKE_CASE_   (      UpperCamelCase__		):
      UpperCamelCase__     : Optional[Any]											=					''''''
      for ch in key:
            if ch == " " or ch not in key_no_dups and ch.isalpha():
                  key_no_dups += ch
      return key_no_dups


def 				SCREAMING_SNAKE_CASE_   (      UpperCamelCase__		):
      UpperCamelCase__     : Tuple											=					[chr(i + 6_5		) for i in range(2_6		)]
      # Remove duplicate characters from key
      UpperCamelCase__     : str											=					remove_duplicates(key.upper()		)
      UpperCamelCase__     : Any											=					len(UpperCamelCase__		)
      # First fill cipher with key characters
      UpperCamelCase__     : Optional[int]											=					{alphabet[i]: char for i, char in enumerate(UpperCamelCase__		)}
      # Then map remaining characters in alphabet to
      # the alphabet from the beginning
      for i in range(len(UpperCamelCase__		)			,		2_6		):
            UpperCamelCase__     : List[Any]											=					alphabet[i - offset]
            # Ensure we are not mapping letters to letters previously mapped
            while char in key:
                  offset -= 1
                  UpperCamelCase__     : List[Any]											=					alphabet[i - offset]
            UpperCamelCase__     : List[Any]											=					char
      return cipher_alphabet


def 				SCREAMING_SNAKE_CASE_   (      UpperCamelCase__			,		UpperCamelCase__		):
      return "".join(cipher_map.get(UpperCamelCase__			,		UpperCamelCase__		) for ch in message.upper()		)


def 				SCREAMING_SNAKE_CASE_   (      UpperCamelCase__			,		UpperCamelCase__		):
      UpperCamelCase__     : Dict											=					{v: k for k, v in cipher_map.items()}
      return "".join(rev_cipher_map.get(UpperCamelCase__			,		UpperCamelCase__		) for ch in message.upper()		)


def 				SCREAMING_SNAKE_CASE_   (      ):
      UpperCamelCase__     : Any											=					input('''Enter message to encode or decode: '''		).strip()
      UpperCamelCase__     : Tuple											=					input('''Enter keyword: '''		).strip()
      UpperCamelCase__     : List[str]											=					input('''Encipher or decipher? E/D:'''		).strip()[0].lower()
      try:
            UpperCamelCase__     : Optional[int]											=					{'''e''': encipher, '''d''': decipher}[option]
      except KeyError:
            raise KeyError('''invalid input option'''		)
      UpperCamelCase__     : Any											=					create_cipher_map(UpperCamelCase__		)
      print(func(UpperCamelCase__			,		UpperCamelCase__		)		)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()




from collections import OrderedDict
from typing import Mapping

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


lowerCamelCase  =logging.get_logger(__name__)

lowerCamelCase  ={
    "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 					_lowerCamelCase			(   UpperCamelCase_			):





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		 =	'''distilbert'''
     SCREAMING_SNAKE_CASE_		 =	{
         '''hidden_size''': '''dim''',
         '''num_attention_heads''': '''n_heads''',
         '''num_hidden_layers''': '''n_layers''',
     }






     def __init__(				self    ,    __SCREAMING_SNAKE_CASE=3_0_5_2_2    ,    __SCREAMING_SNAKE_CASE=5_1_2    ,    __SCREAMING_SNAKE_CASE=False    ,    __SCREAMING_SNAKE_CASE=6    ,    __SCREAMING_SNAKE_CASE=1_2    ,    __SCREAMING_SNAKE_CASE=7_6_8    ,    __SCREAMING_SNAKE_CASE=4 * 7_6_8    ,    __SCREAMING_SNAKE_CASE=0.1    ,    __SCREAMING_SNAKE_CASE=0.1    ,    __SCREAMING_SNAKE_CASE="gelu"    ,    __SCREAMING_SNAKE_CASE=0.02    ,    __SCREAMING_SNAKE_CASE=0.1    ,    __SCREAMING_SNAKE_CASE=0.2    ,    __SCREAMING_SNAKE_CASE=0    ,    **__SCREAMING_SNAKE_CASE    ,    )	-> Optional[Any]:




           """simple docstring"""







           UpperCamelCase__     : List[Any]											=					vocab_size
           UpperCamelCase__     : Dict											=					max_position_embeddings
           UpperCamelCase__     : Any											=					sinusoidal_pos_embds
           UpperCamelCase__     : Dict											=					n_layers
           UpperCamelCase__     : List[Any]											=					n_heads
           UpperCamelCase__     : Dict											=					dim
           UpperCamelCase__     : Dict											=					hidden_dim
           UpperCamelCase__     : Optional[int]											=					dropout
           UpperCamelCase__     : Optional[Any]											=					attention_dropout
           UpperCamelCase__     : Tuple											=					activation
           UpperCamelCase__     : Optional[int]											=					initializer_range
           UpperCamelCase__     : Optional[int]											=					qa_dropout
           UpperCamelCase__     : str											=					seq_classif_dropout
           super().__init__(**__SCREAMING_SNAKE_CASE    ,    pad_token_id=__SCREAMING_SNAKE_CASE	)




class 					_lowerCamelCase			(   UpperCamelCase_			):





     """simple docstring"""







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




           """simple docstring"""







           if self.task == "multiple-choice":
                 UpperCamelCase__     : Union[str, Any]											=					{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
           else:
                 UpperCamelCase__     : int											=					{0: '''batch''', 1: '''sequence'''}
           return OrderedDict(
               [
                   ('''input_ids''', dynamic_axis),
                   ('''attention_mask''', dynamic_axis),
               ]	)


