



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__			= logging.get_logger(__name__)






class    SCREAMING_SNAKE_CASE			:
							__lowerCamelCase	:	str
							__lowerCamelCase	:	str    =None





							@staticmethod
							def 						UpperCamelCase_					(   ):

											'''simple docstring'''
											raise NotImplementedError





							def 						UpperCamelCase_					(   self		:		List[Any]      ,				__lowercase		:		Tuple      ,				__lowercase		:		int      ,				__lowercase		:		str      ,				**__lowercase		:		Optional[int]	):

											'''simple docstring'''
											raise NotImplementedError





							def 						UpperCamelCase_					(   self		:		List[Any]      ,				__lowercase		:		Optional[Any]	):

											'''simple docstring'''
											raise NotImplementedError





							def 						UpperCamelCase_					(   self		:		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		:		int	):

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






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):
							__lowerCamelCase	:	List[str]    ='optuna'





							@staticmethod
							def 						UpperCamelCase_					(   ):

											'''simple docstring'''
											return is_optuna_available()





							def 						UpperCamelCase_					(   self		:		Optional[Any]      ,				__lowercase		:		List[str]      ,				__lowercase		:		int      ,				__lowercase		:		str      ,				**__lowercase		:		List[str]	):

											'''simple docstring'''
											return run_hp_search_optuna(__lowercase      ,				__lowercase      ,				__lowercase      ,				**__lowercase	)







							def 						UpperCamelCase_					(   self		:		List[Any]      ,				__lowercase		:		Optional[int]	):

											'''simple docstring'''
											return default_hp_space_optuna(__lowercase	)






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):
							__lowerCamelCase	:	List[str]    ='ray'
							__lowerCamelCase	:	Tuple    ='\'ray[tune]\''





							@staticmethod
							def 						UpperCamelCase_					(   ):

											'''simple docstring'''
											return is_ray_available()





							def 						UpperCamelCase_					(   self		:		Optional[Any]      ,				__lowercase		:		Any      ,				__lowercase		:		int      ,				__lowercase		:		str      ,				**__lowercase		:		int	):

											'''simple docstring'''
											return run_hp_search_ray(__lowercase      ,				__lowercase      ,				__lowercase      ,				**__lowercase	)







							def 						UpperCamelCase_					(   self		:		str      ,				__lowercase		:		Optional[int]	):

											'''simple docstring'''
											return default_hp_space_ray(__lowercase	)






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):
							__lowerCamelCase	:	int    ='sigopt'





							@staticmethod
							def 						UpperCamelCase_					(   ):

											'''simple docstring'''
											return is_sigopt_available()





							def 						UpperCamelCase_					(   self		:		Union[str, Any]      ,				__lowercase		:		int      ,				__lowercase		:		int      ,				__lowercase		:		str      ,				**__lowercase		:		Dict	):

											'''simple docstring'''
											return run_hp_search_sigopt(__lowercase      ,				__lowercase      ,				__lowercase      ,				**__lowercase	)







							def 						UpperCamelCase_					(   self		:		Optional[int]      ,				__lowercase		:		Tuple	):

											'''simple docstring'''
											return default_hp_space_sigopt(__lowercase	)






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):
							__lowerCamelCase	:	Tuple    ='wandb'





							@staticmethod
							def 						UpperCamelCase_					(   ):

											'''simple docstring'''
											return is_wandb_available()





							def 						UpperCamelCase_					(   self		:		Tuple      ,				__lowercase		:		Dict      ,				__lowercase		:		int      ,				__lowercase		:		str      ,				**__lowercase		:		Any	):

											'''simple docstring'''
											return run_hp_search_wandb(__lowercase      ,				__lowercase      ,				__lowercase      ,				**__lowercase	)







							def 						UpperCamelCase_					(   self		:		Tuple      ,				__lowercase		:		Optional[int]	):

											'''simple docstring'''
											return default_hp_space_wandb(__lowercase	)



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

def   lowerCAmelCase__						(							):
				"""simple docstring"""







				__a       =		[backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
				if len(_SCREAMING_SNAKE_CASE    ) > 0:
								__a       =		available_backends[0].name
								if len(_SCREAMING_SNAKE_CASE    ) > 1:
												logger.info(
												    f"{len(_SCREAMING_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()    )    )





from typing import TYPE_CHECKING

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


lowerCamelCase__			= {"""configuration_speech_encoder_decoder""": ["""SpeechEncoderDecoderConfig"""]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__			= ["""SpeechEncoderDecoderModel"""]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__			= ["""FlaxSpeechEncoderDecoderModel"""]

if TYPE_CHECKING:
						from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_speech_encoder_decoder import SpeechEncoderDecoderModel

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_speech_encoder_decoder import FlaxSpeechEncoderDecoderModel

else:
						import sys

						lowerCamelCase__			= _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
