





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       :Union[str, Any]       =  logging.get_logger(__name__)



class    _a     :






							"""simple docstring"""

							snake_case_							 =						42
							snake_case_							 =						None

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

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

							def      A_  (      self				:     str							,	a				:     str    )	->Tuple:
													raise NotImplementedError

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







class    _a     (				lowercase__							):






							"""simple docstring"""

							snake_case_							 =						"optuna"

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

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






							def      A_  (      self				:     List[Any]							,	a				:     List[Any]    )	->Tuple:
													return default_hp_space_optuna(a    )







class    _a     (				lowercase__							):






							"""simple docstring"""

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

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

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






							def      A_  (      self				:     Tuple							,	a				:     Union[str, Any]    )	->Optional[int]:
													return default_hp_space_ray(a    )







class    _a     (				lowercase__							):






							"""simple docstring"""

							snake_case_							 =						"sigopt"

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

							def      A_  (      self				:     Union[str, Any]							,	a				:     Tuple							,	a				:     int							,	a				:     str							,	**a				:     str    )	->Union[str, Any]:
													return run_hp_search_sigopt(a							,	a							,	a							,	**a    )






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







class    _a     (				lowercase__							):






							"""simple docstring"""

							snake_case_							 =						"wandb"

							@staticmethod
							def      A_  (      )	->Union[str, Any]:
													return is_wandb_available()

							def      A_  (      self				:     Dict							,	a				:     Tuple							,	a				:     int							,	a				:     str							,	**a				:     Optional[Any]    )	->Union[str, Any]:
													return run_hp_search_wandb(a							,	a							,	a							,	**a    )






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







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







def       UpperCAmelCase							(     ):





						'''simple docstring'''


						SCREAMING_SNAKE_CASE__     :				int   =					[backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
						if len(_lowerCamelCase     ) > 0:
												SCREAMING_SNAKE_CASE__     :				List[str]   =					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()     )     )






from __future__ import annotations







def       UpperCAmelCase							(     _lowerCamelCase      :  list[int]			,   _lowerCamelCase      :  int     ):





						'''simple docstring'''


						if len(_lowerCamelCase     ) < k or k < 0:
												raise ValueError("Invalid Input"     )
						SCREAMING_SNAKE_CASE__     :				int   =					sum(array[:k]     )
						for i in range(len(_lowerCamelCase     ) - k     ):
												SCREAMING_SNAKE_CASE__     :				str   =					current_sum - array[i] + array[i + k]
												SCREAMING_SNAKE_CASE__     :				Union[str, Any]   =					max(_lowerCamelCase			,   _lowerCamelCase     )
						return max_sum


if __name__ == "__main__":
				from doctest import testmod
				from random import randint

				testmod()
				__lowercase       :List[str]       =  [randint(-1_000, 1_000) for i in range(100)]
				__lowercase       :Any       =  randint(0, 110)
				print(f"The maximum sum of {k} consecutive elements is {max_sum_in_array(array,k)}")