




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    :		int			   =       logging.get_logger(__name__)







class   A:



 '''simple docstring'''


 UpperCamelCase						       =						42
 UpperCamelCase						       =						None

 @staticmethod
 def     a__			(    )       ->     Any:

       """simple docstring"""






       raise NotImplementedError

 def     a__			(    self :  List[str]						,							A_ :  Tuple						,							A_ :  int						,							A_ :  str						,							**A_ :  str  )       ->     str:

       """simple docstring"""






       raise NotImplementedError

 def     a__			(    self :  str						,							A_ :  Optional[Any]  )       ->     Any:

       """simple docstring"""






       raise NotImplementedError

 def     a__			(    self :  str  )       ->     List[str]:

       """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     a__			(    cls :  Union[str, Any]  )       ->     int:

       """simple docstring"""






       return f"""`pip install {cls.pip_package or cls.name}`"""







class   A(						UpperCamelCase       ):



 '''simple docstring'''


 UpperCamelCase						       =						'''optuna'''

 @staticmethod
 def     a__			(    )       ->     Union[str, Any]:

       """simple docstring"""






       return is_optuna_available()

 def     a__			(    self :  Dict						,							A_ :  List[Any]						,							A_ :  int						,							A_ :  str						,							**A_ :  Any  )       ->     Optional[Any]:

       """simple docstring"""






       return run_hp_search_optuna(A_						,							A_						,							A_						,							**A_  )





 def     a__			(    self :  Optional[Any]						,							A_ :  Union[str, Any]  )       ->     int:

       """simple docstring"""






       return default_hp_space_optuna(A_  )







class   A(						UpperCamelCase       ):



 '''simple docstring'''


 UpperCamelCase						       =						'''ray'''
 UpperCamelCase						       =						'''\'ray[tune]\''''

 @staticmethod
 def     a__			(    )       ->     Tuple:

       """simple docstring"""






       return is_ray_available()

 def     a__			(    self :  Optional[int]						,							A_ :  List[str]						,							A_ :  int						,							A_ :  str						,							**A_ :  int  )       ->     List[str]:

       """simple docstring"""






       return run_hp_search_ray(A_						,							A_						,							A_						,							**A_  )





 def     a__			(    self :  Dict						,							A_ :  int  )       ->     Any:

       """simple docstring"""






       return default_hp_space_ray(A_  )







class   A(						UpperCamelCase       ):



 '''simple docstring'''


 UpperCamelCase						       =						'''sigopt'''

 @staticmethod
 def     a__			(    )       ->     List[Any]:

       """simple docstring"""






       return is_sigopt_available()

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

       """simple docstring"""






       return run_hp_search_sigopt(A_						,							A_						,							A_						,							**A_  )





 def     a__			(    self :  Tuple						,							A_ :  int  )       ->     Optional[Any]:

       """simple docstring"""






       return default_hp_space_sigopt(A_  )







class   A(						UpperCamelCase       ):



 '''simple docstring'''


 UpperCamelCase						       =						'''wandb'''

 @staticmethod
 def     a__			(    )       ->     Optional[Any]:

       """simple docstring"""






       return is_wandb_available()

 def     a__			(    self :  List[Any]						,							A_ :  List[str]						,							A_ :  int						,							A_ :  str						,							**A_ :  Dict  )       ->     Dict:

       """simple docstring"""






       return run_hp_search_wandb(A_						,							A_						,							A_						,							**A_  )





 def     a__			(    self :  str						,							A_ :  Tuple  )       ->     Optional[Any]:

       """simple docstring"""






       return default_hp_space_wandb(A_  )

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

def       _SCREAMING_SNAKE_CASE      (							):


      '''simple docstring'''



      lowerCamelCase_							=   [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
      if len(lowercase					) > 0:
            lowerCamelCase_							=   available_backends[0].name
            if len(lowercase					) > 1:
                  logger.info(
                      f"""{len(lowercase					)} 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       _SCREAMING_SNAKE_CASE      (							lowercase     :	dict     ,							lowercase     :	str					):


      '''simple docstring'''



      lowerCamelCase_					,    lowerCamelCase_							=   set(lowercase					), [start]

      while stack:
            lowerCamelCase_							=   stack.pop()
            explored.add(lowercase					)
            # Differences from BFS:
            # 1) pop last element instead of first one
            # 2) add adjacent elements to stack without exploring them
            for adj in reversed(graph[v]					):
                  if adj not in explored:
                        stack.append(lowercase					)
      return explored


lowerCamelCase    :		int			   =       {
    "A": ["B", "C", "D"],
    "B": ["A", "D", "E"],
    "C": ["A", "F"],
    "D": ["B", "D"],
    "E": ["B", "F"],
    "F": ["C", "E", "G"],
    "G": ["F"],
}

if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(depth_first_search(G, "A"))



