





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


__lowercase       :Any       =  logging.get_logger(__name__)



class    _a     :






							"""simple docstring"""

							snake_case_							 =						42
							snake_case_							 =						None

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

							def      A_  (      self				:     Tuple							,	a				:     Union[str, Any]							,	a				:     int							,	a				:     str							,	**a				:     str    )	->Dict:
													raise NotImplementedError

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

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







class    _a     (				__SCREAMING_SNAKE_CASE							):






							"""simple docstring"""

							snake_case_							 =						"optuna"

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

							def      A_  (      self				:     Optional[int]							,	a				:     Any							,	a				:     int							,	a				:     str							,	**a				:     Dict    )	->Optional[Any]:
													return run_hp_search_optuna(__snake_case							,	__snake_case							,	__snake_case							,	**__snake_case    )






							def      A_  (      self				:     List[str]							,	a				:     List[str]    )	->Optional[int]:
													return default_hp_space_optuna(__snake_case    )







class    _a     (				__SCREAMING_SNAKE_CASE							):






							"""simple docstring"""

							snake_case_							 =						"ray"
							snake_case_							 =						"\'ray[tune]\'"

							@staticmethod
							def      A_  (      )	->int:
													return is_ray_available()

							def      A_  (      self				:     Optional[int]							,	a				:     str							,	a				:     int							,	a				:     str							,	**a				:     Optional[int]    )	->Optional[Any]:
													return run_hp_search_ray(__snake_case							,	__snake_case							,	__snake_case							,	**__snake_case    )






							def      A_  (      self				:     Tuple							,	a				:     Any    )	->int:
													return default_hp_space_ray(__snake_case    )







class    _a     (				__SCREAMING_SNAKE_CASE							):






							"""simple docstring"""

							snake_case_							 =						"sigopt"

							@staticmethod
							def      A_  (      )	->str:
													return is_sigopt_available()

							def      A_  (      self				:     Any							,	a				:     str							,	a				:     int							,	a				:     str							,	**a				:     Optional[int]    )	->List[Any]:
													return run_hp_search_sigopt(__snake_case							,	__snake_case							,	__snake_case							,	**__snake_case    )






							def      A_  (      self				:     Union[str, Any]							,	a				:     List[Any]    )	->List[Any]:
													return default_hp_space_sigopt(__snake_case    )







class    _a     (				__SCREAMING_SNAKE_CASE							):






							"""simple docstring"""

							snake_case_							 =						"wandb"

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

							def      A_  (      self				:     str							,	a				:     Any							,	a				:     int							,	a				:     str							,	**a				:     List[Any]    )	->Union[str, Any]:
													return run_hp_search_wandb(__snake_case							,	__snake_case							,	__snake_case							,	**__snake_case    )






							def      A_  (      self				:     Optional[Any]							,	a				:     List[Any]    )	->Optional[int]:
													return default_hp_space_wandb(__snake_case    )







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







def       UpperCAmelCase							(     ):





						'''simple docstring'''


						SCREAMING_SNAKE_CASE__     :				Union[str, Any]   =					[backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
						if len(a_     ) > 0:
												SCREAMING_SNAKE_CASE__     :				Optional[int]   =					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()     )     )










def       UpperCAmelCase							(     _lowerCamelCase      :  int = 4_000_000     ):





						'''simple docstring'''


						SCREAMING_SNAKE_CASE__     :				Any   =					[0, 1]
						SCREAMING_SNAKE_CASE__     :				List[Any]   =					0
						while fib[i] <= n:
												fib.append(fib[i] + fib[i + 1]     )
												if fib[i + 2] > n:
																		break
												i += 1
						SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					0
						for j in range(len(_lowerCamelCase     ) - 1     ):
												if fib[j] % 2 == 0:
																		total += fib[j]

						return total


if __name__ == "__main__":
				print(f"{solution() = }")