






'''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       		=      logging.get_logger(__name__)





class 	SCREAMING_SNAKE_CASE					:
			snake_case__  =				42
			snake_case__  =				None






			@staticmethod
			def 			SCREAMING_SNAKE_CASE      ( )			->			Any:
							raise NotImplementedError






			def 			SCREAMING_SNAKE_CASE      ( self      :			str  ,						__SCREAMING_SNAKE_CASE      :			Optional[Any]  ,						__SCREAMING_SNAKE_CASE      :			int  ,						__SCREAMING_SNAKE_CASE      :			str  ,						**__SCREAMING_SNAKE_CASE      :			Dict					)			->			Tuple:
							raise NotImplementedError






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






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





class 	SCREAMING_SNAKE_CASE					(					SCREAMING_SNAKE_CASE_       ):
			snake_case__  =				"optuna"






			@staticmethod
			def 			SCREAMING_SNAKE_CASE      ( )			->			Tuple:
							return is_optuna_available()






			def 			SCREAMING_SNAKE_CASE      ( self      :			List[str]  ,						__SCREAMING_SNAKE_CASE      :			List[Any]  ,						__SCREAMING_SNAKE_CASE      :			int  ,						__SCREAMING_SNAKE_CASE      :			str  ,						**__SCREAMING_SNAKE_CASE      :			List[str]					)			->			Optional[int]:
							return run_hp_search_optuna(__SCREAMING_SNAKE_CASE  ,						__SCREAMING_SNAKE_CASE  ,						__SCREAMING_SNAKE_CASE  ,						**__SCREAMING_SNAKE_CASE					)







			def 			SCREAMING_SNAKE_CASE      ( self      :			Any  ,						__SCREAMING_SNAKE_CASE      :			int					)			->			int:
							return default_hp_space_optuna(__SCREAMING_SNAKE_CASE					)





class 	SCREAMING_SNAKE_CASE					(					SCREAMING_SNAKE_CASE_       ):
			snake_case__  =				"ray"
			snake_case__  =				"'ray[tune]'"






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






			def 			SCREAMING_SNAKE_CASE      ( self      :			Any  ,						__SCREAMING_SNAKE_CASE      :			List[Any]  ,						__SCREAMING_SNAKE_CASE      :			int  ,						__SCREAMING_SNAKE_CASE      :			str  ,						**__SCREAMING_SNAKE_CASE      :			List[str]					)			->			Optional[int]:
							return run_hp_search_ray(__SCREAMING_SNAKE_CASE  ,						__SCREAMING_SNAKE_CASE  ,						__SCREAMING_SNAKE_CASE  ,						**__SCREAMING_SNAKE_CASE					)







			def 			SCREAMING_SNAKE_CASE      ( self      :			Optional[int]  ,						__SCREAMING_SNAKE_CASE      :			int					)			->			Optional[int]:
							return default_hp_space_ray(__SCREAMING_SNAKE_CASE					)





class 	SCREAMING_SNAKE_CASE					(					SCREAMING_SNAKE_CASE_       ):
			snake_case__  =				"sigopt"






			@staticmethod
			def 			SCREAMING_SNAKE_CASE      ( )			->			List[Any]:
							return is_sigopt_available()






			def 			SCREAMING_SNAKE_CASE      ( self      :			Optional[Any]  ,						__SCREAMING_SNAKE_CASE      :			Any  ,						__SCREAMING_SNAKE_CASE      :			int  ,						__SCREAMING_SNAKE_CASE      :			str  ,						**__SCREAMING_SNAKE_CASE      :			Optional[int]					)			->			int:
							return run_hp_search_sigopt(__SCREAMING_SNAKE_CASE  ,						__SCREAMING_SNAKE_CASE  ,						__SCREAMING_SNAKE_CASE  ,						**__SCREAMING_SNAKE_CASE					)







			def 			SCREAMING_SNAKE_CASE      ( self      :			Optional[Any]  ,						__SCREAMING_SNAKE_CASE      :			Any					)			->			List[str]:
							return default_hp_space_sigopt(__SCREAMING_SNAKE_CASE					)





class 	SCREAMING_SNAKE_CASE					(					SCREAMING_SNAKE_CASE_       ):
			snake_case__  =				"wandb"






			@staticmethod
			def 			SCREAMING_SNAKE_CASE      ( )			->			List[Any]:
							return is_wandb_available()






			def 			SCREAMING_SNAKE_CASE      ( self      :			List[Any]  ,						__SCREAMING_SNAKE_CASE      :			Optional[int]  ,						__SCREAMING_SNAKE_CASE      :			int  ,						__SCREAMING_SNAKE_CASE      :			str  ,						**__SCREAMING_SNAKE_CASE      :			Any					)			->			Optional[int]:
							return run_hp_search_wandb(__SCREAMING_SNAKE_CASE  ,						__SCREAMING_SNAKE_CASE  ,						__SCREAMING_SNAKE_CASE  ,						**__SCREAMING_SNAKE_CASE					)







			def 			SCREAMING_SNAKE_CASE      ( self      :			Any  ,						__SCREAMING_SNAKE_CASE      :			Tuple					)			->			Dict:
							return default_hp_space_wandb(__SCREAMING_SNAKE_CASE					)





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





def 		_UpperCAmelCase   (							):
				a_		:  Optional[Any]											=      [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
				if len(__A      ) > 0:
								a_		:  List[Any]											=      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()      )      )












'''simple docstring'''







from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
		from .features import FeatureType





@dataclass
class 	SCREAMING_SNAKE_CASE					:
			snake_case__  =				42
			snake_case__  =				None
			# Automatically constructed
			snake_case__  =				"dict"
			snake_case__  =				None
			snake_case__  =				field(default="Translation"	,   init=SCREAMING_SNAKE_CASE_	,   repr=SCREAMING_SNAKE_CASE_       )






			def __call__( self      :			Dict					)			->			Tuple:
							return pa.struct({lang: pa.string() for lang in sorted(self.languages					)}					)







			def 			SCREAMING_SNAKE_CASE      ( self      :			Union[str, Any]					)			->			Union["FeatureType", Dict[str, "FeatureType"]]:
							from .features import Value

							return {k: Value('''string'''					) for k in sorted(self.languages					)}





@dataclass
class 	SCREAMING_SNAKE_CASE					:
			snake_case__  =				None
			snake_case__  =				None
			snake_case__  =				None
			# Automatically constructed
			snake_case__  =				"dict"
			snake_case__  =				None
			snake_case__  =				field(default="TranslationVariableLanguages"	,   init=SCREAMING_SNAKE_CASE_	,   repr=SCREAMING_SNAKE_CASE_       )






			def 			SCREAMING_SNAKE_CASE      ( self      :			Tuple					)			->			Dict:
							a_		:  List[str]											=      sorted(set(self.languages					)					) if self.languages else None
							a_		:  Optional[Any]											=      len(self.languages					) if self.languages else None






			def __call__( self      :			Any					)			->			Optional[Any]:
							return pa.struct({'''language''': pa.list_(pa.string()					), '''translation''': pa.list_(pa.string()					)}					)






			def 			SCREAMING_SNAKE_CASE      ( self      :			Optional[int]  ,						__SCREAMING_SNAKE_CASE      :			Optional[Any]					)			->			Optional[Any]:
							a_		:  str											=      set(self.languages					)
							if self.languages and set(__SCREAMING_SNAKE_CASE					) - lang_set:
											raise ValueError(
											    f'Some languages in example ({", ".join(sorted(set(__SCREAMING_SNAKE_CASE					) - lang_set					)					)}) are not in valid set ({", ".join(__SCREAMING_SNAKE_CASE					)}).'					)

							# Convert dictionary into tuples, splitting out cases where there are
							# multiple translations for a single language.
							a_		:  int											=      []
							for lang, text in translation_dict.items():
											if isinstance(__SCREAMING_SNAKE_CASE  ,						__SCREAMING_SNAKE_CASE					):
															translation_tuples.append((lang, text)					)
											else:
															translation_tuples.extend([(lang, el) for el in text]					)

        # Ensure translations are in ascending order by language code.
							a_				,			a_		:  List[Any]											=      zip(*sorted(__SCREAMING_SNAKE_CASE					)					)

							return {"language": languages, "translation": translations}







			def 			SCREAMING_SNAKE_CASE      ( self      :			Any					)			->			Union["FeatureType", Dict[str, "FeatureType"]]:
							from .features import Sequence, Value

							return {
							    "language": Sequence(Value('''string'''					)					),
							    "translation": Sequence(Value('''string'''					)					),
							}




