





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


lowerCAmelCase:	Tuple							      =logging.get_logger(__name__)

lowerCAmelCase:	Union[str, Any]							      ={
    "google/pegasus-x-base": "https://huggingface.co/google/pegasus-x-base/resolve/main/config.json",
    "google/pegasus-x-large": "https://huggingface.co/google/pegasus-x-large/resolve/main/config.json",
    # See all PEGASUS-X models at https://huggingface.co/models?filter=pegasus-x
}
class lowerCamelCase__  (    SCREAMING_SNAKE_CASE__				):
   __UpperCAmelCase        =					'pegasus_x'
   __UpperCAmelCase        =					['past_key_values']
   __UpperCAmelCase        =					{'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}



   def __init__(       self      ,   snake_case=9_6_1_0_3      ,   snake_case=1_6_3_8_4      ,   snake_case=1_6      ,   snake_case=4_0_9_6      ,   snake_case=1_6      ,   snake_case=1_6      ,   snake_case=4_0_9_6      ,   snake_case=1_6      ,   snake_case=0.0      ,   snake_case=0.0      ,   snake_case=True      ,   snake_case=True      ,   snake_case="gelu"      ,   snake_case=1_0_2_4      ,   snake_case=0.1      ,   snake_case=0.0      ,   snake_case=0.0      ,   snake_case=0.02      ,   snake_case=0      ,   snake_case=True      ,   snake_case=0      ,   snake_case=1      ,   snake_case=1      ,   snake_case=3_2      ,   snake_case=5_1_2      ,   snake_case=True      ,   **snake_case      ,   ) ->    str:







      """simple docstring"""
      lowercase    :			Any  =       vocab_size
      lowercase    :			int  =       max_position_embeddings
      lowercase    :			str  =       d_model
      lowercase    :			List[str]  =       encoder_ffn_dim
      lowercase    :			Tuple  =       encoder_layers
      lowercase    :			List[str]  =       encoder_attention_heads
      lowercase    :			Tuple  =       decoder_ffn_dim
      lowercase    :			Optional[Any]  =       decoder_layers
      lowercase    :			Union[str, Any]  =       decoder_attention_heads
      lowercase    :			Union[str, Any]  =       dropout
      lowercase    :			Tuple  =       attention_dropout
      lowercase    :			Optional[Any]  =       activation_dropout
      lowercase    :			Optional[int]  =       activation_function
      lowercase    :			Optional[Any]  =       init_std
      lowercase    :			Optional[Any]  =       encoder_layerdrop
      lowercase    :			Optional[int]  =       decoder_layerdrop
      lowercase    :			str  =       use_cache
      lowercase    :			str  =       encoder_layers
      lowercase    :			Optional[int]  =       scale_embedding  # scale factor will be sqrt(d_model) if True

      lowercase    :			str  =       num_global_tokens
      lowercase    :			List[str]  =       block_size
      lowercase    :			Optional[Any]  =       stagger_local_blocks

      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    _UpperCAmelCase	(       self	) ->    int:







      """simple docstring"""
      return self.encoder_attention_heads





   @property
   def    _UpperCAmelCase	(       self	) ->    Tuple:







      """simple docstring"""
      return self.d_model









"""simple docstring"""
import math




def 			__snake_case						(      __A    )		->				float:
   lowercase    :			List[Any]  =       math.log(2 ,10    ) * number
   lowercase    :			Tuple  =       round((log_number - int(__A    )) ,15    )

   return difference




def 			__snake_case						(      __A = 678910    )		->				int:
   lowercase    :			Any  =       90
   lowercase    :			Optional[Any]  =       0

   lowercase    :			List[str]  =       math.log(1.23 ,10    )
   lowercase    :			str  =       math.log(1.24 ,10    )
   lowercase    :			str  =       0

   while position < number:
      lowercase    :			Optional[Any]  =       log_difference(__A    )

      if difference >= upper_limit:
         power_iterator += 93

      elif difference < lower_limit:
         power_iterator += 196

      else:
         lowercase    :			List[Any]  =       power_iterator
         power_iterator += 196
         position += 1

   return previous_power


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   print(F'{solution() = }')


