






"""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


__A		:       int  				=		logging.get_logger(__name__)





class 					_UpperCAmelCase       :
					SCREAMING_SNAKE_CASE_		:				Any							    =   42
					SCREAMING_SNAKE_CASE_		:				Tuple							    =   None




					@staticmethod
					def   A  (				)  ->  Dict:
							raise NotImplementedError




					def   A  (				self     :						Tuple    ,						A     :						List[str]    ,						A     :						int    ,						A     :						str    ,						**A     :						Union[str, Any]   )  ->  List[str]:
							raise NotImplementedError




					def   A  (				self     :						Any    ,						A     :						Any   )  ->  Dict:
							raise NotImplementedError




					def   A  (				self     :						List[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[int]   )  ->  Union[str, Any]:
							return F'''`pip install {cls.pip_package or cls.name}`'''





class 					_UpperCAmelCase       ( _lowercase							):
					SCREAMING_SNAKE_CASE_		:				Dict							    =   "optuna"




					@staticmethod
					def   A  (				)  ->  Any:
							return is_optuna_available()




					def   A  (				self     :						Optional[int]    ,						A     :						Optional[Any]    ,						A     :						int    ,						A     :						str    ,						**A     :						Dict   )  ->  Optional[int]:
							return run_hp_search_optuna(UpperCamelCase__    ,						UpperCamelCase__    ,						UpperCamelCase__    ,						**UpperCamelCase__   )






					def   A  (				self     :						Optional[Any]    ,						A     :						Any   )  ->  List[str]:
							return default_hp_space_optuna(UpperCamelCase__   )





class 					_UpperCAmelCase       ( _lowercase							):
					SCREAMING_SNAKE_CASE_		:				Union[str, Any]							    =   "ray"
					SCREAMING_SNAKE_CASE_		:				Tuple							    =   "'ray[tune]'"




					@staticmethod
					def   A  (				)  ->  Optional[Any]:
							return is_ray_available()




					def   A  (				self     :						List[Any]    ,						A     :						str    ,						A     :						int    ,						A     :						str    ,						**A     :						Union[str, Any]   )  ->  Any:
							return run_hp_search_ray(UpperCamelCase__    ,						UpperCamelCase__    ,						UpperCamelCase__    ,						**UpperCamelCase__   )






					def   A  (				self     :						List[str]    ,						A     :						Any   )  ->  Tuple:
							return default_hp_space_ray(UpperCamelCase__   )





class 					_UpperCAmelCase       ( _lowercase							):
					SCREAMING_SNAKE_CASE_		:				Any							    =   "sigopt"




					@staticmethod
					def   A  (				)  ->  Tuple:
							return is_sigopt_available()




					def   A  (				self     :						Tuple    ,						A     :						List[Any]    ,						A     :						int    ,						A     :						str    ,						**A     :						Dict   )  ->  int:
							return run_hp_search_sigopt(UpperCamelCase__    ,						UpperCamelCase__    ,						UpperCamelCase__    ,						**UpperCamelCase__   )






					def   A  (				self     :						Tuple    ,						A     :						List[str]   )  ->  Optional[int]:
							return default_hp_space_sigopt(UpperCamelCase__   )





class 					_UpperCAmelCase       ( _lowercase							):
					SCREAMING_SNAKE_CASE_		:				Tuple							    =   "wandb"




					@staticmethod
					def   A  (				)  ->  Any:
							return is_wandb_available()




					def   A  (				self     :						int    ,						A     :						Tuple    ,						A     :						int    ,						A     :						str    ,						**A     :						int   )  ->  int:
							return run_hp_search_wandb(UpperCamelCase__    ,						UpperCamelCase__    ,						UpperCamelCase__    ,						**UpperCamelCase__   )






					def   A  (				self     :						List[Any]    ,						A     :						Union[str, Any]   )  ->  List[Any]:
							return default_hp_space_wandb(UpperCamelCase__   )
__A		:       Dict  				=		{
    HPSearchBackend(backend.name): backend for backend in [OptunaBackend, RayTuneBackend, SigOptBackend, WandbBackend]
}



def 						lowercase    (				):
		lowercase_ : List[str]							       =   [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
		if len(__snake_case	) > 0:
				lowercase_ : Dict							       =   available_backends[0].name
				if len(__snake_case	) > 1:
						logger.info(
						    F'''{len(__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()	)	)











'''simple docstring'''







from heapq import heappop, heappush

import numpy as np





def  SCREAMING_SNAKE_CASE_       (UpperCamelCase				,			UpperCamelCase				,			UpperCamelCase				,			UpperCamelCase				,			)      ->       tuple[float | int, list[tuple[int, int]]]:
							lowerCamelCase__  ,		lowerCamelCase__					:	Union[str, Any]         =       grid.shape
							lowerCamelCase__					:	List[str]         =       [-1, 1, 0, 0]
							lowerCamelCase__					:	Dict         =       [0, 0, -1, 1]
							if allow_diagonal:
														dx += [-1, -1, 1, 1]
														dy += [-1, 1, -1, 1]

							lowerCamelCase__  ,		lowerCamelCase__					:	Any         =       [(0, source)], set()
							lowerCamelCase__					:	Tuple         =       np.full((rows, cols)				,			np.inf      )
							lowerCamelCase__					:	List[str]         =       0
							lowerCamelCase__					:	Optional[int]         =       np.empty((rows, cols)				,			dtype=UpperCamelCase      )
							lowerCamelCase__					:	str         =       None

							while queue:
														((lowerCamelCase__)  ,		(lowerCamelCase__))					:	List[str]         =       heappop(UpperCamelCase      )
														if (x, y) in visited:
																					continue
														visited.add((x, y)      )

														if (x, y) == destination:
																					lowerCamelCase__					:	Optional[int]         =       []
																					while (x, y) != source:
																												path.append((x, y)      )
																												lowerCamelCase__  ,		lowerCamelCase__					:	List[Any]         =       predecessors[x, y]
																					path.append(UpperCamelCase      )  # add the source manually
																					path.reverse()
																					return matrix[destination], path

														for i in range(len(UpperCamelCase      )      ):
																					lowerCamelCase__  ,		lowerCamelCase__					:	Union[str, Any]         =       x + dx[i], y + dy[i]
																					if 0 <= nx < rows and 0 <= ny < cols:
																												lowerCamelCase__					:	Any         =       grid[nx][ny]
																												if next_node == 1 and matrix[nx, ny] > dist + 1:
																																			heappush(UpperCamelCase				,			(dist + 1, (nx, ny))      )
																																			lowerCamelCase__					:	Union[str, Any]         =       dist + 1
																																			lowerCamelCase__					:	List[str]         =       (x, y)

							return np.inf, []


if __name__ == "__main__":
			import doctest

			doctest.testmod()

