


import math
import random
from typing import Any

from .hill_climbing import SearchProblem



def       _lowerCAmelCase    (				lowerCAmelCase_				:List[Any]		,    lowerCAmelCase_				:bool = True		,    lowerCAmelCase_				:float = math.inf		,    lowerCAmelCase_				:float = -math.inf		,    lowerCAmelCase_				:float = math.inf		,    lowerCAmelCase_				:float = -math.inf		,    lowerCAmelCase_				:bool = False		,    lowerCAmelCase_				:float = 100		,    lowerCAmelCase_				:float = 0.0_1		,    lowerCAmelCase_				:float = 1		,    )->Any:
   '''simple docstring'''






   snake_case_            =       False
   snake_case_            =       search_prob
   snake_case_            =       start_temperate
   snake_case_            =       []
   snake_case_            =       0
   snake_case_            =       None

   while not search_end:
      snake_case_            =       current_state.score()
      if best_state is None or current_score > best_state.score():
         snake_case_            =       current_state
      scores.append(lowerCAmelCase_				)
      iterations += 1
      snake_case_            =       None
      snake_case_            =       current_state.get_neighbors()
      while (
          next_state is None and neighbors
      ):  # till we do not find a neighbor that we can move to
         snake_case_            =       random.randint(0		,    len(lowerCAmelCase_				) - 1				)  # picking a random neighbor
         snake_case_            =       neighbors.pop(lowerCAmelCase_				)
         snake_case_            =       picked_neighbor.score() - current_score

         if (
             picked_neighbor.x > max_x
             or picked_neighbor.x < min_x
             or picked_neighbor.y > max_y
             or picked_neighbor.y < min_y
         ):
            continue  # neighbor outside our bounds

         if not find_max:
            snake_case_            =       change * -1  # in case we are finding minimum
         if change > 0:  # improves the solution
            snake_case_            =       picked_neighbor
         else:
            snake_case_            =       (math.e) ** (
                change / current_temp
            )  # probability generation function
            if random.random() < probability:  # random number within probability
               snake_case_            =       picked_neighbor
      snake_case_            =       current_temp - (current_temp * rate_of_decrease)

      if current_temp < threshold_temp or next_state is None:
         # temperature below threshold, or could not find a suitable neighbor
         snake_case_            =       True
      else:
         snake_case_            =       next_state

   if visualization:
      from matplotlib import pyplot as plt

      plt.plot(range(lowerCAmelCase_				)		,    lowerCAmelCase_				)
      plt.xlabel("Iterations"				)
      plt.ylabel("Function values"				)
      plt.show()
   return best_state


if __name__ == "__main__":



   def       _lowerCAmelCase    (				lowerCAmelCase_				:int		,    lowerCAmelCase_				:Optional[Any]				)->List[str]:
      '''simple docstring'''






      return (x**2) + (y**2)

   # starting the problem with initial coordinates (12, 47)
   SCREAMING_SNAKE_CASE						:str			=  SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
   SCREAMING_SNAKE_CASE						:Union[str, Any]			=  simulated_annealing(
       prob, find_max=False, max_x=1_00, min_x=5, max_y=50, min_y=-5, visualization=True
   )
   print(
       '''The minimum score for f(x, y) = x^2 + y^2 with the domain 100 > x > 5 '''
       F'''and 50 > y > - 5 found via hill climbing: {local_min.score()}'''
   )

   # starting the problem with initial coordinates (12, 47)
   SCREAMING_SNAKE_CASE						:Union[str, Any]			=  SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
   SCREAMING_SNAKE_CASE						:Optional[Any]			=  simulated_annealing(
       prob, find_max=True, max_x=1_00, min_x=5, max_y=50, min_y=-5, visualization=True
   )
   print(
       '''The maximum score for f(x, y) = x^2 + y^2 with the domain 100 > x > 5 '''
       F'''and 50 > y > - 5 found via hill climbing: {local_min.score()}'''
   )



   def       _lowerCAmelCase    (				lowerCAmelCase_				:Union[str, Any]		,    lowerCAmelCase_				:Optional[Any]				)->Union[str, Any]:
      '''simple docstring'''






      return (3 * x**2) - (6 * y)

   SCREAMING_SNAKE_CASE						:Dict			=  SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
   SCREAMING_SNAKE_CASE						:Any			=  simulated_annealing(prob, find_max=False, visualization=True)
   print(
       '''The minimum score for f(x, y) = 3*x^2 - 6*y found via hill climbing: '''
       F'''{local_min.score()}'''
   )

   SCREAMING_SNAKE_CASE						:List[Any]			=  SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
   SCREAMING_SNAKE_CASE						:Optional[Any]			=  simulated_annealing(prob, find_max=True, visualization=True)



   print(
       '''The maximum score for f(x, y) = 3*x^2 - 6*y found via hill climbing: '''
       F'''{local_min.score()}'''
   )








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


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


class      __lowerCAmelCase  :






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							42
  _SCREAMING_SNAKE_CASE		     =							None



  @staticmethod
  def        lowerCAmelCase__	(  ) ->			Any:




     """simple docstring"""
     raise NotImplementedError



  def        lowerCAmelCase__	(  self							:							Dict     ,					_lowerCAmelCase							:							List[str]     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							int	) ->			str:




     """simple docstring"""
     raise NotImplementedError



  def        lowerCAmelCase__	(  self							:							int     ,					_lowerCAmelCase							:							List[str]	) ->			Optional[int]:




     """simple docstring"""
     raise NotImplementedError



  def        lowerCAmelCase__	(  self							:							Optional[int]	) ->			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        lowerCAmelCase__	(  cls							:							Dict	) ->			Tuple:




     """simple docstring"""
     return F'''`pip install {cls.pip_package or cls.name}`'''






class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							'optuna'



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




     """simple docstring"""
     return is_optuna_available()



  def        lowerCAmelCase__	(  self							:							str     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							Optional[int]	) ->			Optional[int]:




     """simple docstring"""
     return run_hp_search_optuna(_lowerCAmelCase     ,					_lowerCAmelCase     ,					_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							Tuple     ,					_lowerCAmelCase							:							int	) ->			str:




     """simple docstring"""
     return default_hp_space_optuna(_lowerCAmelCase	)






class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							'ray'
  _SCREAMING_SNAKE_CASE		     =							'\'ray[tune]\''



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




     """simple docstring"""
     return is_ray_available()



  def        lowerCAmelCase__	(  self							:							List[Any]     ,					_lowerCAmelCase							:							List[Any]     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							List[Any]	) ->			List[str]:




     """simple docstring"""
     return run_hp_search_ray(_lowerCAmelCase     ,					_lowerCAmelCase     ,					_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							str     ,					_lowerCAmelCase							:							List[Any]	) ->			Any:




     """simple docstring"""
     return default_hp_space_ray(_lowerCAmelCase	)






class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							'sigopt'



  @staticmethod
  def        lowerCAmelCase__	(  ) ->			List[str]:




     """simple docstring"""
     return is_sigopt_available()



  def        lowerCAmelCase__	(  self							:							str     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							Tuple	) ->			str:




     """simple docstring"""
     return run_hp_search_sigopt(_lowerCAmelCase     ,					_lowerCAmelCase     ,					_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							Optional[Any]     ,					_lowerCAmelCase							:							Tuple	) ->			Union[str, Any]:




     """simple docstring"""
     return default_hp_space_sigopt(_lowerCAmelCase	)






class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							'wandb'



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




     """simple docstring"""
     return is_wandb_available()



  def        lowerCAmelCase__	(  self							:							List[Any]     ,					_lowerCAmelCase							:							Tuple     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							Any	) ->			Dict:




     """simple docstring"""
     return run_hp_search_wandb(_lowerCAmelCase     ,					_lowerCAmelCase     ,					_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							int     ,					_lowerCAmelCase							:							List[str]	) ->			Any:




     """simple docstring"""
     return default_hp_space_wandb(_lowerCAmelCase	)






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



def       _lowerCAmelCase    (				)->str:
   '''simple docstring'''






   snake_case_            =       [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
   if len(lowerCAmelCase_				) > 0:
      snake_case_            =       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()				)				)




