





'''simple docstring'''




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


_SCREAMING_SNAKE_CASE							     =			logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE							     =			{
    "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 			_lowerCAmelCase		(			A__	):






     """simple docstring"""






     snake_case_						      =   "pegasus"
     snake_case_						      =   ["past_key_values"]
     snake_case_						      =   {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}



     def __init__(   self							:			str   ,       __snake_case							:			Union[str, Any]=5_02_65   ,       __snake_case							:			List[Any]=10_24   ,       __snake_case							:			Any=12   ,       __snake_case							:			Optional[int]=40_96   ,       __snake_case							:			List[Any]=16   ,       __snake_case							:			Tuple=12   ,       __snake_case							:			str=40_96   ,       __snake_case							:			Optional[Any]=16   ,       __snake_case							:			str=0.0   ,       __snake_case							:			Dict=0.0   ,       __snake_case							:			List[Any]=True   ,       __snake_case							:			List[str]=True   ,       __snake_case							:			Dict="gelu"   ,       __snake_case							:			str=10_24   ,       __snake_case							:			Union[str, Any]=0.1   ,       __snake_case							:			Optional[Any]=0.0   ,       __snake_case							:			Union[str, Any]=0.0   ,       __snake_case							:			Dict=0.02   ,       __snake_case							:			Dict=0   ,       __snake_case							:			Any=False   ,       __snake_case							:			List[Any]=0   ,       __snake_case							:			List[str]=1   ,       __snake_case							:			Optional[int]=1   ,       **__snake_case							:			int   ,       )->	Optional[int]:
        snake_case 						=   vocab_size
        snake_case 						=   max_position_embeddings
        snake_case 						=   d_model
        snake_case 						=   encoder_ffn_dim
        snake_case 						=   encoder_layers
        snake_case 						=   encoder_attention_heads
        snake_case 						=   decoder_ffn_dim
        snake_case 						=   decoder_layers
        snake_case 						=   decoder_attention_heads
        snake_case 						=   dropout
        snake_case 						=   attention_dropout
        snake_case 						=   activation_dropout
        snake_case 						=   activation_function
        snake_case 						=   init_std
        snake_case 						=   encoder_layerdrop
        snake_case 						=   decoder_layerdrop
        snake_case 						=   use_cache
        snake_case 						=   encoder_layers
        snake_case 						=   scale_embedding  # scale factor will be sqrt(d_model) if True
        super().__init__(
            pad_token_id=__snake_case   ,       eos_token_id=__snake_case   ,       is_encoder_decoder=__snake_case   ,       decoder_start_token_id=__snake_case   ,       forced_eos_token_id=__snake_case   ,       **__snake_case   ,       )



     @property
     def      lowerCAmelCase			(   self							:			List[Any]						)->	int:
        return self.encoder_attention_heads



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








'''simple docstring'''




from __future__ import annotations





def 	__lowerCamelCase			(      __lowerCAmelCase       :							Any      ,    __lowerCAmelCase       :							str      ,    __lowerCAmelCase       :							Any      ,    __lowerCAmelCase       :							int		)		->  Tuple:  # noqa: E741
   while r - l > 1:
      snake_case 						=   (l + r) // 2
      if v[m] >= key:
         snake_case 						=   m
      else:
         snake_case 						=   m  # noqa: E741
   return r





def 	__lowerCamelCase			(      __lowerCAmelCase       :							list[int]		)		->  int:
   if len(__lowerCAmelCase		) == 0:
      return 0

   snake_case 						=   [0] * len(__lowerCAmelCase		)
   snake_case 						=   1

   snake_case 						=   v[0]

   for i in range(1      ,    len(__lowerCAmelCase		)		):
      if v[i] < tail[0]:
         snake_case 						=   v[i]
      elif v[i] > tail[length - 1]:
         snake_case 						=   v[i]
         length += 1
      else:
         snake_case 						=   v[i]

   return length


if __name__ == "__main__":
 import doctest

 doctest.testmod()

