


'''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


lowerCAmelCase				:int        =      logging.get_logger(__name__)
class 					_lowerCamelCase	:



		'''simple docstring'''







		A_     :      str
		A_     :      str				   =    None







		@staticmethod
		def        __lowerCAmelCase		( )  ->			int:
			raise NotImplementedError







		def        __lowerCAmelCase		( self		:						List[str]  ,					_A		:						Optional[int]  ,					_A		:						int  ,					_A		:						str  ,					**_A		:						Tuple      )  ->			Optional[Any]:
			raise NotImplementedError







		def        __lowerCAmelCase		( self		:						Any  ,					_A		:						str      )  ->			List[Any]:
			raise NotImplementedError







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







class 					_lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		A_     :      Optional[Any]				   =    """optuna"""







		@staticmethod
		def        __lowerCAmelCase		( )  ->			Any:
			return is_optuna_available()







		def        __lowerCAmelCase		( self		:						Tuple  ,					_A		:						Tuple  ,					_A		:						int  ,					_A		:						str  ,					**_A		:						Optional[int]      )  ->			int:
			return run_hp_search_optuna(_A  ,					_A  ,					_A  ,					**_A      )







		def        __lowerCAmelCase		( self		:						int  ,					_A		:						Any      )  ->			str:
			return default_hp_space_optuna(_A      )







class 					_lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		A_     :      str				   =    """ray"""
		A_     :      Optional[int]				   =    """'ray[tune]'"""







		@staticmethod
		def        __lowerCAmelCase		( )  ->			Any:
			return is_ray_available()







		def        __lowerCAmelCase		( self		:						Optional[int]  ,					_A		:						str  ,					_A		:						int  ,					_A		:						str  ,					**_A		:						Tuple      )  ->			Any:
			return run_hp_search_ray(_A  ,					_A  ,					_A  ,					**_A      )







		def        __lowerCAmelCase		( self		:						List[str]  ,					_A		:						List[str]      )  ->			List[str]:
			return default_hp_space_ray(_A      )







class 					_lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		A_     :      Optional[Any]				   =    """sigopt"""







		@staticmethod
		def        __lowerCAmelCase		( )  ->			Union[str, Any]:
			return is_sigopt_available()







		def        __lowerCAmelCase		( self		:						Dict  ,					_A		:						List[str]  ,					_A		:						int  ,					_A		:						str  ,					**_A		:						Optional[Any]      )  ->			Any:
			return run_hp_search_sigopt(_A  ,					_A  ,					_A  ,					**_A      )







		def        __lowerCAmelCase		( self		:						List[Any]  ,					_A		:						Optional[Any]      )  ->			Any:
			return default_hp_space_sigopt(_A      )







class 					_lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		A_     :      int				   =    """wandb"""







		@staticmethod
		def        __lowerCAmelCase		( )  ->			Any:
			return is_wandb_available()







		def        __lowerCAmelCase		( self		:						Union[str, Any]  ,					_A		:						Optional[int]  ,					_A		:						int  ,					_A		:						str  ,					**_A		:						Tuple      )  ->			Tuple:
			return run_hp_search_wandb(_A  ,					_A  ,					_A  ,					**_A      )







		def        __lowerCAmelCase		( self		:						int  ,					_A		:						Optional[int]      )  ->			Union[str, Any]:
			return default_hp_space_wandb(_A      )







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





def lowerCamelCase      (      ):





	"""simple docstring"""







	__magic_name__	:   List[str]					     =					[backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
	if len(lowerCAmelCase		) > 0:
		__magic_name__	:   Union[str, Any]					     =					available_backends[0].name
		if len(lowerCAmelCase		) > 1:
			logger.info(
			    f'{len(lowerCAmelCase		)} 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()		)		)



'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


lowerCAmelCase				:Tuple        =      logging.get_logger(__name__)
class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		def __init__( self		:						Any  ,					*_A		:						List[Any]  ,					**_A		:						str      )  ->			None:
			warnings.warn(
			    'The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
			    ' use BeitImageProcessor instead.'  ,					_A  ,					)
			super().__init__(*_A  ,					**_A      )