





'''simple docstring'''




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


__SCREAMING_SNAKE_CASE     :Optional[Any]       =				logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE     :str       =				{
    '''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_	(  lowerCAmelCase_			):
 _lowerCamelCase  : Union[str, Any]           =							"""pegasus"""
 _lowerCamelCase  : str           =							["""past_key_values"""]
 _lowerCamelCase  : str           =							{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}




 def __init__(					self       :    Optional[Any]	,			snake_case_       :    Optional[Any]=5_0_2_6_5	,			snake_case_       :    str=1_0_2_4	,			snake_case_       :    Any=1_2	,			snake_case_       :    Optional[int]=4_0_9_6	,			snake_case_       :    List[Any]=1_6	,			snake_case_       :    Tuple=1_2	,			snake_case_       :    Optional[int]=4_0_9_6	,			snake_case_       :    Any=1_6	,			snake_case_       :    Tuple=0.0	,			snake_case_       :    List[Any]=0.0	,			snake_case_       :    Optional[int]=True	,			snake_case_       :    Optional[Any]=True	,			snake_case_       :    List[Any]="gelu"	,			snake_case_       :    Dict=1_0_2_4	,			snake_case_       :    str=0.1	,			snake_case_       :    Tuple=0.0	,			snake_case_       :    Optional[int]=0.0	,			snake_case_       :    List[Any]=0.0_2	,			snake_case_       :    Optional[int]=0	,			snake_case_       :    str=False	,			snake_case_       :    Dict=0	,			snake_case_       :    Dict=1	,			snake_case_       :    List[str]=1	,			**snake_case_       :    str	,			):
      _UpperCAmelCase     							=   vocab_size
      _UpperCAmelCase     							=   max_position_embeddings
      _UpperCAmelCase     							=   d_model
      _UpperCAmelCase     							=   encoder_ffn_dim
      _UpperCAmelCase     							=   encoder_layers
      _UpperCAmelCase     							=   encoder_attention_heads
      _UpperCAmelCase     							=   decoder_ffn_dim
      _UpperCAmelCase     							=   decoder_layers
      _UpperCAmelCase     							=   decoder_attention_heads
      _UpperCAmelCase     							=   dropout
      _UpperCAmelCase     							=   attention_dropout
      _UpperCAmelCase     							=   activation_dropout
      _UpperCAmelCase     							=   activation_function
      _UpperCAmelCase     							=   init_std
      _UpperCAmelCase     							=   encoder_layerdrop
      _UpperCAmelCase     							=   decoder_layerdrop
      _UpperCAmelCase     							=   use_cache
      _UpperCAmelCase     							=   encoder_layers
      _UpperCAmelCase     							=   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      lowercase	(					self       :    List[Any]    ):
      return self.encoder_attention_heads




 @property
 def      lowercase	(					self       :    Any    ):
      return self.d_model











'''simple docstring'''




from .integrations import (
    is_optuna_available,
    is_ray_available,
    is_sigopt_available,
    is_wandb_available,
    run_hp_search_optuna,
    run_hp_search_ray,
    run_hp_search_sigopt,
    run_hp_search_wandb,
)
from .trainer_utils import (
    HPSearchBackend,
    default_hp_space_optuna,
    default_hp_space_ray,
    default_hp_space_sigopt,
    default_hp_space_wandb,
)
from .utils import logging


__SCREAMING_SNAKE_CASE     :int       =				logging.get_logger(__name__)







class   A_	:
 _lowerCamelCase  : str
 _lowerCamelCase  : str           =							None




 @staticmethod
 def      lowercase	(					):
      raise NotImplementedError




 def      lowercase	(					self       :    Union[str, Any]	,			snake_case_       :    Optional[int]	,			snake_case_       :    int	,			snake_case_       :    str	,			**snake_case_       :    List[Any]    ):
      raise NotImplementedError




 def      lowercase	(					self       :    Any	,			snake_case_       :    int    ):
      raise NotImplementedError




 def      lowercase	(					self       :    List[str]    ):
      if not self.is_available():
           raise RuntimeError(
               f'You picked the {self.name} backend, but it is not installed. Run {self.pip_install()}.'    )




 @classmethod
 def      lowercase	(					cls       :    List[Any]    ):
      return f'`pip install {cls.pip_package or cls.name}`'







class   A_	(  lowerCAmelCase_			):
 _lowerCamelCase  : int           =							"""optuna"""




 @staticmethod
 def      lowercase	(					):
      return is_optuna_available()




 def      lowercase	(					self       :    List[str]	,			snake_case_       :    Any	,			snake_case_       :    int	,			snake_case_       :    str	,			**snake_case_       :    Tuple    ):
      return run_hp_search_optuna(snake_case_	,			snake_case_	,			snake_case_	,			**snake_case_    )




 def      lowercase	(					self       :    int	,			snake_case_       :    Optional[int]    ):
      return default_hp_space_optuna(snake_case_    )







class   A_	(  lowerCAmelCase_			):
 _lowerCamelCase  : Any           =							"""ray"""
 _lowerCamelCase  : Tuple           =							"""'ray[tune]'"""




 @staticmethod
 def      lowercase	(					):
      return is_ray_available()




 def      lowercase	(					self       :    Optional[Any]	,			snake_case_       :    Any	,			snake_case_       :    int	,			snake_case_       :    str	,			**snake_case_       :    List[str]    ):
      return run_hp_search_ray(snake_case_	,			snake_case_	,			snake_case_	,			**snake_case_    )




 def      lowercase	(					self       :    Any	,			snake_case_       :    str    ):
      return default_hp_space_ray(snake_case_    )







class   A_	(  lowerCAmelCase_			):
 _lowerCamelCase  : int           =							"""sigopt"""




 @staticmethod
 def      lowercase	(					):
      return is_sigopt_available()




 def      lowercase	(					self       :    Any	,			snake_case_       :    int	,			snake_case_       :    int	,			snake_case_       :    str	,			**snake_case_       :    Dict    ):
      return run_hp_search_sigopt(snake_case_	,			snake_case_	,			snake_case_	,			**snake_case_    )




 def      lowercase	(					self       :    Dict	,			snake_case_       :    Optional[Any]    ):
      return default_hp_space_sigopt(snake_case_    )







class   A_	(  lowerCAmelCase_			):
 _lowerCamelCase  : Optional[int]           =							"""wandb"""




 @staticmethod
 def      lowercase	(					):
      return is_wandb_available()




 def      lowercase	(					self       :    Optional[Any]	,			snake_case_       :    Optional[Any]	,			snake_case_       :    int	,			snake_case_       :    str	,			**snake_case_       :    Optional[Any]    ):
      return run_hp_search_wandb(snake_case_	,			snake_case_	,			snake_case_	,			**snake_case_    )




 def      lowercase	(					self       :    Any	,			snake_case_       :    Union[str, Any]    ):
      return default_hp_space_wandb(snake_case_    )





__SCREAMING_SNAKE_CASE     :Dict       =				{
    HPSearchBackend(backend.name): backend for backend in [OptunaBackend, RayTuneBackend, SigOptBackend, WandbBackend]
}
def 	UpperCAmelCase_							(					)		->       str:


     '''simple docstring'''



     _UpperCAmelCase     							=   [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
     if len(__lowercase       ) > 0:
          _UpperCAmelCase     							=   available_backends[0].name
          if len(__lowercase       ) > 1:
               logger.info(
                   f'{len(__lowercase       )} hyperparameter search backends available. Using {name} as the default.'       )
          return name
     raise RuntimeError(
         "No hyperparameter search backend available.\n"
         + "\n".join(
             f' - To install {backend.name} run {backend.pip_install()}'
             for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values()       )       )




