




'''simple docstring'''







import string

# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
lowercase      :   str      =       {
    """E""": 1_2.7_0,
    """T""": 9.0_6,
    """A""": 8.1_7,
    """O""": 7.5_1,
    """I""": 6.9_7,
    """N""": 6.7_5,
    """S""": 6.3_3,
    """H""": 6.0_9,
    """R""": 5.9_9,
    """D""": 4.2_5,
    """L""": 4.0_3,
    """C""": 2.7_8,
    """U""": 2.7_6,
    """M""": 2.4_1,
    """W""": 2.3_6,
    """F""": 2.2_3,
    """G""": 2.0_2,
    """Y""": 1.9_7,
    """P""": 1.9_3,
    """B""": 1.2_9,
    """V""": 0.9_8,
    """K""": 0.7_7,
    """J""": 0.1_5,
    """X""": 0.1_5,
    """Q""": 0.1_0,
    """Z""": 0.0_7,
}
lowercase      :   Any      =       """ETAOINSHRDLCUMWFGYPBVKJXQZ"""
lowercase      :   int      =       """ABCDEFGHIJKLMNOPQRSTUVWXYZ"""



def        lowerCamelCase__				(      __lowercase				):
     snake_case			:      str        =			{letter: 0 for letter in string.ascii_uppercase}
     for letter in message.upper():
          if letter in LETTERS:
               letter_count[letter] += 1

     return letter_count



def        lowerCamelCase__				(      __lowercase				):
     return x[0]



def        lowerCamelCase__				(      __lowercase				):
     snake_case			:      Any        =			get_letter_count(__lowercase				)
     snake_case			:      dict[int, list[str]]        =			{
         freq: [] for letter, freq in letter_to_freq.items()
     }
     for letter in LETTERS:
          freq_to_letter[letter_to_freq[letter]].append(__lowercase				)

     snake_case			:      dict[int, str]        =			{}

     for freq in freq_to_letter:
          freq_to_letter[freq].sort(key=ETAOIN.find     ,   reverse=__lowercase				)
          snake_case			:      Tuple        =			"""""".join(freq_to_letter[freq]				)

     snake_case			:      Optional[int]        =			list(freq_to_letter_str.items()				)
     freq_pairs.sort(key=__lowercase     ,   reverse=__lowercase				)

     snake_case			:      list[str]        =			[freq_pair[1] for freq_pair in freq_pairs]

     return "".join(__lowercase				)



def        lowerCamelCase__				(      __lowercase				):
     snake_case			:      Optional[Any]        =			get_frequency_order(__lowercase				)
     snake_case			:      Union[str, Any]        =			0
     for common_letter in ETAOIN[:6]:
          if common_letter in freq_order[:6]:
               match_score += 1

     for uncommon_letter in ETAOIN[-6:]:
          if uncommon_letter in freq_order[-6:]:
               match_score += 1

     return match_score


if __name__ == "__main__":
      import doctest

      doctest.testmod()









'''simple docstring'''







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


lowercase      :   Optional[int]      =       logging.get_logger(__name__)

lowercase      :   Optional[Any]      =       {
    """google/pegasus-large""": """https://huggingface.co/google/pegasus-large/resolve/main/config.json""",
    # See all PEGASUS models at https://huggingface.co/models?filter=pegasus
}







class 					_a (a__	):





     '''simple docstring'''



     lowerCAmelCase_  :     Any          =					"""pegasus"""
     lowerCAmelCase_  :     Dict          =					["""past_key_values"""]
     lowerCAmelCase_  :     str          =					{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}







     def __init__(				self							,__a=50_265							,__a=1_024							,__a=12							,__a=4_096							,__a=16							,__a=12							,__a=4_096							,__a=16							,__a=0.0							,__a=0.0							,__a=True							,__a=True							,__a="gelu"							,__a=1_024							,__a=0.1							,__a=0.0							,__a=0.0							,__a=0.02							,__a=0							,__a=False							,__a=0							,__a=1							,__a=1							,**__a							,)      ->				int:
          snake_case			:      List[Any]        =			vocab_size
          snake_case			:      Optional[Any]        =			max_position_embeddings
          snake_case			:      List[Any]        =			d_model
          snake_case			:      str        =			encoder_ffn_dim
          snake_case			:      List[Any]        =			encoder_layers
          snake_case			:      Optional[Any]        =			encoder_attention_heads
          snake_case			:      Union[str, Any]        =			decoder_ffn_dim
          snake_case			:      Tuple        =			decoder_layers
          snake_case			:      Union[str, Any]        =			decoder_attention_heads
          snake_case			:      Union[str, Any]        =			dropout
          snake_case			:      int        =			attention_dropout
          snake_case			:      int        =			activation_dropout
          snake_case			:      Optional[Any]        =			activation_function
          snake_case			:      Tuple        =			init_std
          snake_case			:      Union[str, Any]        =			encoder_layerdrop
          snake_case			:      int        =			decoder_layerdrop
          snake_case			:      Dict        =			use_cache
          snake_case			:      Dict        =			encoder_layers
          snake_case			:      List[Any]        =			scale_embedding  # scale factor will be sqrt(d_model) if True
          super().__init__(
              pad_token_id=__a							,eos_token_id=__a							,is_encoder_decoder=__a							,decoder_start_token_id=__a							,forced_eos_token_id=__a							,**__a							,)







     @property
     def 			snake_case_      (				self							)      ->				int:
          return self.encoder_attention_heads







     @property
     def 			snake_case_      (				self							)      ->				int:
          return self.d_model



