





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_					     =	logging.get_logger(__name__)
class        SCREAMING_SNAKE_CASE     :
   _UpperCamelCase					:	List[str]				      = 42
   _UpperCamelCase					:	Optional[Any]				      = None


   @staticmethod
   def  SCREAMING_SNAKE_CASE_							(					)->     Tuple:





     """simple docstring"""







     raise NotImplementedError


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





     """simple docstring"""







     raise NotImplementedError


   def  SCREAMING_SNAKE_CASE_							(					self    :       Tuple    ,  a    :       str )->     List[str]:





     """simple docstring"""







     raise NotImplementedError


   def  SCREAMING_SNAKE_CASE_							(					self    :       int )->     Optional[Any]:





     """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  SCREAMING_SNAKE_CASE_							(					cls    :       Any )->     Any:





     """simple docstring"""







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







class        SCREAMING_SNAKE_CASE     (_a   ):
   _UpperCamelCase					:	Tuple				      = 'optuna'


   @staticmethod
   def  SCREAMING_SNAKE_CASE_							(					)->     Optional[int]:





     """simple docstring"""







     return is_optuna_available()


   def  SCREAMING_SNAKE_CASE_							(					self    :       str    ,  a    :       List[Any]    ,  a    :       Optional[int]    ,  a    :       List[str]    ,  **a    :       Union[str, Any] )->     Dict:





     """simple docstring"""







     return run_hp_search_optuna(_A    ,  _A    ,  _A    ,  **_A )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Any    ,  a    :       Any )->     Tuple:





     """simple docstring"""







     return default_hp_space_optuna(_A )







class        SCREAMING_SNAKE_CASE     (_a   ):
   _UpperCamelCase					:	Union[str, Any]				      = 'ray'
   _UpperCamelCase					:	Dict				      = '\'ray[tune]\''


   @staticmethod
   def  SCREAMING_SNAKE_CASE_							(					)->     Optional[int]:





     """simple docstring"""







     return is_ray_available()


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[Any]    ,  a    :       List[Any]    ,  a    :       int    ,  a    :       List[Any]    ,  **a    :       Any )->     List[Any]:





     """simple docstring"""







     return run_hp_search_ray(_A    ,  _A    ,  _A    ,  **_A )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Dict    ,  a    :       int )->     Optional[int]:





     """simple docstring"""







     return default_hp_space_ray(_A )







class        SCREAMING_SNAKE_CASE     (_a   ):
   _UpperCamelCase					:	Optional[int]				      = 'sigopt'


   @staticmethod
   def  SCREAMING_SNAKE_CASE_							(					)->     Dict:





     """simple docstring"""







     return is_sigopt_available()


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[str]    ,  a    :       List[Any]    ,  a    :       str    ,  a    :       Optional[Any]    ,  **a    :       Dict )->     str:





     """simple docstring"""







     return run_hp_search_sigopt(_A    ,  _A    ,  _A    ,  **_A )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Union[str, Any]    ,  a    :       Optional[Any] )->     List[str]:





     """simple docstring"""







     return default_hp_space_sigopt(_A )







class        SCREAMING_SNAKE_CASE     (_a   ):
   _UpperCamelCase					:	str				      = 'wandb'


   @staticmethod
   def  SCREAMING_SNAKE_CASE_							(					)->     Tuple:





     """simple docstring"""







     return is_wandb_available()


   def  SCREAMING_SNAKE_CASE_							(					self    :       Any    ,  a    :       int    ,  a    :       List[str]    ,  a    :       Any    ,  **a    :       str )->     Any:





     """simple docstring"""







     return run_hp_search_wandb(_A    ,  _A    ,  _A    ,  **_A )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Optional[Any]    ,  a    :       Optional[int] )->     List[Any]:





     """simple docstring"""







     return default_hp_space_wandb(_A )







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




def     __UpperCamelCase						()       ->     Tuple:
  lowercase__			    =						[backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
  if len(UpperCAmelCase__	) > 0:
    lowercase__			    =						available_backends[0].name
    if len(UpperCAmelCase__	) > 1:
      logger.info(
          F"""{len(UpperCAmelCase__	)} 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()	)	)









import math




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)       ->     List[Any]:
  if 0 not in (x, y):
    # We use the relation x^y = y*log10(x), where 10 is the base.
    return y * math.logaa(_SCREAMING_SNAKE_CASE	)
  else:
    if x == 0:  # 0 raised to any number is 0
      return 0
    elif y == 0:
      return 1  # any number raised to 0 is 1
  raise AssertionError('This should never happen'	)


if __name__ == "__main__":  # Main function
      # Read two numbers from input and typecast them to int using map function.
      # Here x is the base and y is the power.
      lowercase_					     =	"""Enter the base and the power separated by a comma: """
      lowercase_     ,							lowercase_					     =	map(int, input(prompt).split(""","""))
      lowercase_     ,							lowercase_					     =	map(int, input(prompt).split(""","""))

      # We find the log of each number, using the function res(), which takes two
      # arguments.
      lowercase_					     =	res(xa, ya)
      lowercase_					     =	res(xa, ya)

      # We check for the largest number
      if resa > resa:
            print("""Largest number is""", xa, """^""", ya)
      elif resa > resa:
            print("""Largest number is""", xa, """^""", ya)
      else:
            print("""Both are equal""")


