





import math
import random
from typing import Any

from .hill_climbing import SearchProblem



def 	A_       (  _lowerCAmelCase							,     _lowerCAmelCase = True							,     _lowerCAmelCase = math.inf							,     _lowerCAmelCase = -math.inf							,     _lowerCAmelCase = math.inf							,     _lowerCAmelCase = -math.inf							,     _lowerCAmelCase = False							,     _lowerCAmelCase = 100							,     _lowerCAmelCase = 0.01							,     _lowerCAmelCase = 1							,     )		->				Any:
 UpperCamelCase			:      int 			=     False
 UpperCamelCase			:      Tuple 			=     search_prob
 UpperCamelCase			:      str 			=     start_temperate
 UpperCamelCase			:      Any 			=     []
 UpperCamelCase			:      str 			=     0
 UpperCamelCase			:      str 			=     None

 while not search_end:
  UpperCamelCase			:      Any 			=     current_state.score()
  if best_state is None or current_score > best_state.score():
   UpperCamelCase			:      List[Any] 			=     current_state
  scores.append(_lowerCAmelCase  )
  iterations += 1
  UpperCamelCase			:      List[str] 			=     None
  UpperCamelCase			:      Dict 			=     current_state.get_neighbors()
  while (
      next_state is None and neighbors
  ):  # till we do not find a neighbor that we can move to
   UpperCamelCase			:      List[Any] 			=     random.randint(0							,     len(_lowerCAmelCase  ) - 1  )  # picking a random neighbor
   UpperCamelCase			:      Dict 			=     neighbors.pop(_lowerCAmelCase  )
   UpperCamelCase			:      Any 			=     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:
    UpperCamelCase			:      int 			=     change * -1  # in case we are finding minimum
   if change > 0:  # improves the solution
    UpperCamelCase			:      List[str] 			=     picked_neighbor
   else:
    UpperCamelCase			:      List[str] 			=     (math.e) ** (
        change / current_temp
    )  # probability generation function
    if random.random() < probability:  # random number within probability
     UpperCamelCase			:      Optional[Any] 			=     picked_neighbor
  UpperCamelCase			:      Any 			=     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
   UpperCamelCase			:      Dict 			=     True
  else:
   UpperCamelCase			:      List[str] 			=     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 	A_       (  _lowerCAmelCase							,     _lowerCAmelCase  )		->				List[Any]:
     return (x**2) + (y**2)

    # starting the problem with initial coordinates (12, 47)
    __lowerCamelCase :  Optional[int]										=  SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
    __lowerCamelCase :  Union[str, Any]										=  simulated_annealing(
        prob, find_max=False, max_x=100, 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)
    __lowerCamelCase :  List[Any]										=  SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
    __lowerCamelCase :  List[Any]										=  simulated_annealing(
        prob, find_max=True, max_x=100, 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 	A_       (  _lowerCAmelCase							,     _lowerCAmelCase  )		->				Any:
     return (3 * x**2) - (6 * y)

    __lowerCamelCase :  int										=  SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
    __lowerCamelCase :  int										=  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()}"""
    )

    __lowerCamelCase :  Tuple										=  SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
    __lowerCamelCase :  int										=  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()}"""
    )







import logging
import os
import threading
import time


try:
    import warnings
except ImportError:
    __lowerCamelCase :  str										=  None

try:
    import msvcrt
except ImportError:
    __lowerCamelCase :  str										=  None

try:
    import fcntl
except ImportError:
    __lowerCamelCase :  List[Any]										=  None


# Backward compatibility
# ------------------------------------------------
try:
    TimeoutError
except NameError:
    __lowerCamelCase :  Union[str, Any]										=  OSError


# Data
# ------------------------------------------------
__lowerCamelCase :  str										=  [
    """Timeout""",
    """BaseFileLock""",
    """WindowsFileLock""",
    """UnixFileLock""",
    """SoftFileLock""",
    """FileLock""",
]

__lowerCamelCase :  Union[str, Any]										=  """3.0.12"""


__lowerCamelCase :  Any										=  None



def 	A_       (  )		->				List[Any]:
 global _logger
 UpperCamelCase			:      Any 			=     _logger or logging.getLogger(__name__  )
 return _logger



class       A__     ( __snake_case    ):





      def __init__(				self ,							A_     ):
       '''simple docstring'''




       UpperCamelCase			:      Optional[int] 			=     lock_file
       return None





      def __str__(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Union[str, Any] 			=     F"""The file lock '{self.lock_file}' could not be acquired."""
       return temp



class       A__     :





      def __init__(				self ,							A_     ):
       '''simple docstring'''




       UpperCamelCase			:      Dict 			=     lock
       return None





      def __enter__(				self     ):
       '''simple docstring'''




       return self.lock





      def __exit__(				self ,							A_ ,							A_ ,							A_     ):
       '''simple docstring'''




       self.lock.release()
       return None



class       A__     :





      def __init__(				self ,							A_ ,							A_=-1 ,							A_=None     ):
       '''simple docstring'''




       UpperCamelCase			:      List[Any] 			=     max_filename_length if max_filename_length is not None else 255
       # Hash the filename if it's too long
       UpperCamelCase			:      Dict 			=     self.hash_filename_if_too_long(A_ ,							A_     )
       # The path to the lock file.
       UpperCamelCase			:      List[Any] 			=     lock_file

       # The file descriptor for the *_lock_file* as it is returned by the
       # os.open() function.
       # This file lock is only NOT None, if the object currently holds the
       # lock.
       UpperCamelCase			:      Tuple 			=     None

       # The default timeout value.
       UpperCamelCase			:      Optional[Any] 			=     timeout

       # We use this lock primarily for the lock counter.
       UpperCamelCase			:      Union[str, Any] 			=     threading.Lock()

       # The lock counter is used for implementing the nested locking
       # mechanism. Whenever the lock is acquired, the counter is increased and
       # the lock is only released, when this value is 0 again.
       UpperCamelCase			:      Dict 			=     0
       return None





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return self._lock_file





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return self._timeout





      @timeout.setter
      def  __UpperCamelCase(				self ,							A_     ):
       '''simple docstring'''




       UpperCamelCase			:      Dict 			=     float(A_     )
       return None





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       raise NotImplementedError()





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       raise NotImplementedError()





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return self._lock_file_fd is not None





      def  __UpperCamelCase(				self ,							A_=None ,							A_=0.05     ):
       '''simple docstring'''




       if timeout is None:
        UpperCamelCase			:      Optional[Any] 			=     self.timeout

       # Increment the number right at the beginning.
       # We can still undo it, if something fails.
       with self._thread_lock:
        self._lock_counter += 1

       UpperCamelCase			:      Dict 			=     id(self     )
       UpperCamelCase			:      List[str] 			=     self._lock_file
       UpperCamelCase			:      int 			=     time.time()
       try:
        while True:
         with self._thread_lock:
          if not self.is_locked:
           logger().debug(F"""Attempting to acquire lock {lock_id} on {lock_filename}"""     )
           self._acquire()

         if self.is_locked:
          logger().debug(F"""Lock {lock_id} acquired on {lock_filename}"""     )
          break
         elif timeout >= 0 and time.time() - start_time > timeout:
          logger().debug(F"""Timeout on acquiring lock {lock_id} on {lock_filename}"""     )
          raise Timeout(self._lock_file     )
         else:
          logger().debug(
              F"""Lock {lock_id} not acquired on {lock_filename}, waiting {poll_intervall} seconds ..."""     )
          time.sleep(A_     )
       except:  # noqa
        # Something did go wrong, so decrement the counter.
        with self._thread_lock:
         UpperCamelCase			:      List[Any] 			=     max(0 ,							self._lock_counter - 1     )

        raise
       return _Acquire_ReturnProxy(lock=self     )





      def  __UpperCamelCase(				self ,							A_=False     ):
       '''simple docstring'''




       with self._thread_lock:
        if self.is_locked:
         self._lock_counter -= 1

         if self._lock_counter == 0 or force:
          UpperCamelCase			:      List[Any] 			=     id(self     )
          UpperCamelCase			:      Dict 			=     self._lock_file

          logger().debug(F"""Attempting to release lock {lock_id} on {lock_filename}"""     )
          self._release()
          UpperCamelCase			:      Dict 			=     0
          logger().debug(F"""Lock {lock_id} released on {lock_filename}"""     )

       return None





      def __enter__(				self     ):
       '''simple docstring'''




       self.acquire()
       return self





      def __exit__(				self ,							A_ ,							A_ ,							A_     ):
       '''simple docstring'''




       self.release()
       return None





      def __del__(				self     ):
       '''simple docstring'''




       self.release(force=A_     )
       return None





      def  __UpperCamelCase(				self ,							A_ ,							A_     ):
       '''simple docstring'''




       UpperCamelCase			:      Tuple 			=     os.path.basename(A_     )
       if len(A_     ) > max_length and max_length > 0:
        UpperCamelCase			:      Optional[int] 			=     os.path.dirname(A_     )
        UpperCamelCase			:      int 			=     str(hash(A_     )     )
        UpperCamelCase			:      Any 			=     filename[: max_length - len(A_     ) - 8] + "..." + hashed_filename + ".lock"
        return os.path.join(A_ ,							A_     )
       else:
        return path



class       A__     ( __snake_case    ):





      def __init__(				self ,							A_ ,							A_=-1 ,							A_=None     ):
       '''simple docstring'''




       from .file_utils import relative_to_absolute_path

       super().__init__(A_ ,							timeout=A_ ,							max_filename_length=A_     )
       UpperCamelCase			:      List[Any] 			=     "\\\\?\\" + relative_to_absolute_path(self.lock_file     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Optional[int] 			=     os.O_RDWR | os.O_CREAT | os.O_TRUNC

       try:
        UpperCamelCase			:      str 			=     os.open(self._lock_file ,							A_     )
       except OSError:
        pass
       else:
        try:
         msvcrt.locking(A_ ,							msvcrt.LK_NBLCK ,							1     )
        except OSError:
         os.close(A_     )
        else:
         UpperCamelCase			:      Optional[Any] 			=     fd
       return None





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      List[Any] 			=     self._lock_file_fd
       UpperCamelCase			:      str 			=     None
       msvcrt.locking(A_ ,							msvcrt.LK_UNLCK ,							1     )
       os.close(A_     )

       try:
        os.remove(self._lock_file     )
       # Probably another instance of the application
       # that acquired the file lock.
       except OSError:
        pass
       return None



class       A__     ( __snake_case    ):





      def __init__(				self ,							A_ ,							A_=-1 ,							A_=None     ):
       '''simple docstring'''




       UpperCamelCase			:      Tuple 			=     os.statvfs(os.path.dirname(A_     )     ).f_namemax
       super().__init__(A_ ,							timeout=A_ ,							max_filename_length=A_     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Tuple 			=     os.O_RDWR | os.O_CREAT | os.O_TRUNC
       UpperCamelCase			:      int 			=     os.open(self._lock_file ,							A_     )

       try:
        fcntl.flock(A_ ,							fcntl.LOCK_EX | fcntl.LOCK_NB     )
       except OSError:
        os.close(A_     )
       else:
        UpperCamelCase			:      List[str] 			=     fd
       return None





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      str 			=     self._lock_file_fd
       UpperCamelCase			:      List[Any] 			=     None
       fcntl.flock(A_ ,							fcntl.LOCK_UN     )
       os.close(A_     )
       return None



class       A__     ( __snake_case    ):





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Dict 			=     os.O_WRONLY | os.O_CREAT | os.O_EXCL | os.O_TRUNC
       try:
        UpperCamelCase			:      Optional[int] 			=     os.open(self._lock_file ,							A_     )
       except OSError:
        pass
       else:
        UpperCamelCase			:      Tuple 			=     fd
       return None





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       os.close(self._lock_file_fd     )
       UpperCamelCase			:      str 			=     None

       try:
        os.remove(self._lock_file     )
       # The file is already deleted and that's what we want.
       except OSError:
        pass
       return None


__lowerCamelCase :  Dict										=  None

if msvcrt:
    __lowerCamelCase :  Any										=  WindowsFileLock
elif fcntl:
    __lowerCamelCase :  Any										=  UnixFileLock
else:
    __lowerCamelCase :  int										=  SoftFileLock

    if warnings is not None:
        warnings.warn("""only soft file lock is available""")
