

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 _UpperCamelCase				:
			'''simple docstring'''







			lowerCamelCase__							     =42
			lowerCamelCase__							     =None
			@staticmethod
			def 				__UpperCamelCase			(      )				->							Any:

				"""simple docstring"""

				raise NotImplementedError
			def 				__UpperCamelCase			(      self				:			str   ,   a				:			Optional[Any]   ,   a				:			int   ,   a				:			str   ,   **a				:			int						)				->							Union[str, Any]:

				"""simple docstring"""

				raise NotImplementedError
			def 				__UpperCamelCase			(      self				:			Any   ,   a				:			List[Any]						)				->							Union[str, Any]:

				"""simple docstring"""

				raise NotImplementedError
			def 				__UpperCamelCase			(      self				:			Tuple						)				->							Union[str, Any]:

				"""simple docstring"""

				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 				__UpperCamelCase			(      cls				:			str						)				->							Optional[Any]:

				"""simple docstring"""

				return F"`pip install {cls.pip_package or cls.name}`"






class _UpperCamelCase				(				__A ):
			'''simple docstring'''







			lowerCamelCase__							     ='optuna'
			@staticmethod
			def 				__UpperCamelCase			(      )				->							Tuple:

				"""simple docstring"""

				return is_optuna_available()
			def 				__UpperCamelCase			(      self				:			List[str]   ,   a				:			Tuple   ,   a				:			int   ,   a				:			str   ,   **a				:			Optional[Any]						)				->							Union[str, Any]:

				"""simple docstring"""

				return run_hp_search_optuna(a   ,   a   ,   a   ,   **a						)






			def 				__UpperCamelCase			(      self				:			Optional[int]   ,   a				:			Optional[Any]						)				->							Tuple:

				"""simple docstring"""

				return default_hp_space_optuna(a						)






class _UpperCamelCase				(				__A ):
			'''simple docstring'''







			lowerCamelCase__							     ='ray'
			lowerCamelCase__							     ='\'ray[tune]\''
			@staticmethod
			def 				__UpperCamelCase			(      )				->							List[Any]:

				"""simple docstring"""

				return is_ray_available()
			def 				__UpperCamelCase			(      self				:			Tuple   ,   a				:			str   ,   a				:			int   ,   a				:			str   ,   **a				:			str						)				->							Tuple:

				"""simple docstring"""

				return run_hp_search_ray(a   ,   a   ,   a   ,   **a						)






			def 				__UpperCamelCase			(      self				:			int   ,   a				:			Optional[int]						)				->							List[Any]:

				"""simple docstring"""

				return default_hp_space_ray(a						)






class _UpperCamelCase				(				__A ):
			'''simple docstring'''







			lowerCamelCase__							     ='sigopt'
			@staticmethod
			def 				__UpperCamelCase			(      )				->							int:

				"""simple docstring"""

				return is_sigopt_available()
			def 				__UpperCamelCase			(      self				:			List[Any]   ,   a				:			Any   ,   a				:			int   ,   a				:			str   ,   **a				:			int						)				->							Optional[int]:

				"""simple docstring"""

				return run_hp_search_sigopt(a   ,   a   ,   a   ,   **a						)






			def 				__UpperCamelCase			(      self				:			Optional[Any]   ,   a				:			Dict						)				->							str:

				"""simple docstring"""

				return default_hp_space_sigopt(a						)






class _UpperCamelCase				(				__A ):
			'''simple docstring'''







			lowerCamelCase__							     ='wandb'
			@staticmethod
			def 				__UpperCamelCase			(      )				->							Dict:

				"""simple docstring"""

				return is_wandb_available()
			def 				__UpperCamelCase			(      self				:			List[str]   ,   a				:			Optional[Any]   ,   a				:			int   ,   a				:			str   ,   **a				:			List[Any]						)				->							List[str]:

				"""simple docstring"""

				return run_hp_search_wandb(a   ,   a   ,   a   ,   **a						)






			def 				__UpperCamelCase			(      self				:			Tuple   ,   a				:			Optional[int]						)				->							int:

				"""simple docstring"""

				return default_hp_space_wandb(a						)

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

def 			lowerCamelCase__			(       ):
	SCREAMING_SNAKE_CASE :   int					  =							[backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
	if len(_a) > 0:
		SCREAMING_SNAKE_CASE :   Tuple					  =							available_backends[0].name
		if len(_a) > 1:
			logger.info(
			    f"{len(_a)} 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()))


from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


a_      =     {'configuration_van': ['VAN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'VanConfig']}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			a_      =     [
			    'VAN_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'VanForImageClassification',
			    'VanModel',
			    'VanPreTrainedModel',
			]

if TYPE_CHECKING:
			from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_van import (
						    VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
						    VanForImageClassification,
						    VanModel,
						    VanPreTrainedModel,
						)

else:
			import sys

			a_      =     _LazyModule(__name__, globals()['__file__'], _import_structure)