






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


__A					=	logging.get_logger(__name__)



class 				_A			:
    """simple docstring"""

    lowerCamelCase	:							str
    lowerCamelCase	:							str				= None



    @staticmethod
    def _a							(				)      ->							List[str]:
           raise NotImplementedError



    def _a							(				self      :     Union[str, Any] ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any] ,     __SCREAMING_SNAKE_CASE      :     int ,     __SCREAMING_SNAKE_CASE      :     str ,     **__SCREAMING_SNAKE_CASE      :     str      )      ->							int:
           raise NotImplementedError



    def _a							(				self      :     Union[str, Any] ,     __SCREAMING_SNAKE_CASE      :     int      )      ->							List[Any]:
           raise NotImplementedError



    def _a							(				self      :     Union[str, Any]      )      ->							Optional[int]:
           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 _a							(				cls      :     Optional[Any]      )      ->							List[str]:
           return f'''`pip install {cls.pip_package or cls.name}`'''




class 				_A			(     _A				):
    """simple docstring"""

    lowerCamelCase	:							List[str]				= "optuna"



    @staticmethod
    def _a							(				)      ->							int:
           return is_optuna_available()



    def _a							(				self      :     Dict ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any] ,     __SCREAMING_SNAKE_CASE      :     int ,     __SCREAMING_SNAKE_CASE      :     str ,     **__SCREAMING_SNAKE_CASE      :     int      )      ->							Any:
           return run_hp_search_optuna(__lowerCAmelCase ,     __lowerCAmelCase ,     __lowerCAmelCase ,     **__lowerCAmelCase      )



    def _a							(				self      :     Tuple ,     __SCREAMING_SNAKE_CASE      :     Tuple      )      ->							Dict:
           return default_hp_space_optuna(__lowerCAmelCase      )




class 				_A			(     _A				):
    """simple docstring"""

    lowerCamelCase	:							List[str]				= "ray"
    lowerCamelCase	:							Tuple				= "'ray[tune]'"



    @staticmethod
    def _a							(				)      ->							List[str]:
           return is_ray_available()



    def _a							(				self      :     Dict ,     __SCREAMING_SNAKE_CASE      :     Optional[Any] ,     __SCREAMING_SNAKE_CASE      :     int ,     __SCREAMING_SNAKE_CASE      :     str ,     **__SCREAMING_SNAKE_CASE      :     Optional[int]      )      ->							Optional[int]:
           return run_hp_search_ray(__lowerCAmelCase ,     __lowerCAmelCase ,     __lowerCAmelCase ,     **__lowerCAmelCase      )



    def _a							(				self      :     List[Any] ,     __SCREAMING_SNAKE_CASE      :     Tuple      )      ->							int:
           return default_hp_space_ray(__lowerCAmelCase      )




class 				_A			(     _A				):
    """simple docstring"""

    lowerCamelCase	:							Optional[int]				= "sigopt"



    @staticmethod
    def _a							(				)      ->							Optional[Any]:
           return is_sigopt_available()



    def _a							(				self      :     Any ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any] ,     __SCREAMING_SNAKE_CASE      :     int ,     __SCREAMING_SNAKE_CASE      :     str ,     **__SCREAMING_SNAKE_CASE      :     int      )      ->							List[str]:
           return run_hp_search_sigopt(__lowerCAmelCase ,     __lowerCAmelCase ,     __lowerCAmelCase ,     **__lowerCAmelCase      )



    def _a							(				self      :     str ,     __SCREAMING_SNAKE_CASE      :     Dict      )      ->							int:
           return default_hp_space_sigopt(__lowerCAmelCase      )




class 				_A			(     _A				):
    """simple docstring"""

    lowerCamelCase	:							Union[str, Any]				= "wandb"



    @staticmethod
    def _a							(				)      ->							int:
           return is_wandb_available()



    def _a							(				self      :     Any ,     __SCREAMING_SNAKE_CASE      :     Dict ,     __SCREAMING_SNAKE_CASE      :     int ,     __SCREAMING_SNAKE_CASE      :     str ,     **__SCREAMING_SNAKE_CASE      :     List[str]      )      ->							Dict:
           return run_hp_search_wandb(__lowerCAmelCase ,     __lowerCAmelCase ,     __lowerCAmelCase ,     **__lowerCAmelCase      )



    def _a							(				self      :     List[Any] ,     __SCREAMING_SNAKE_CASE      :     Tuple      )      ->							Dict:
           return default_hp_space_wandb(__lowerCAmelCase      )




__A					=	{
    HPSearchBackend(backend.name): backend for backend in [OptunaBackend, RayTuneBackend, SigOptBackend, WandbBackend]
}







def       lowercase__	(					)	->				str:







       """simple docstring"""






       __UpperCAmelCase     				=[backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
       if len(_snake_case		) > 0:
              __UpperCAmelCase     				=available_backends[0].name
              if len(_snake_case		) > 1:
                     logger.info(
                         F'''{len(_snake_case		)} 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()		)		)









def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:int				)  ->     int:
   if not isinstance(_snake_case	,   _snake_case				):
      raise ValueError('''Input must be an integer'''				)
   if input_num <= 0:
      raise ValueError('''Input must be positive'''				)
   return sum(
       divisor for divisor in range(1	,   input_num // 2 + 1				) if input_num % divisor == 0				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()



