



import math






class 	_a			:






			def __init__(    self    ,  lowercase_    ,  lowercase_    ,  lowercase_    ,  lowercase_ )	->					int:
									lowerCAmelCase	:   Tuple					     =					x
									lowerCAmelCase	:   Optional[Any]					     =					y
									lowerCAmelCase	:   Dict					     =					step_size
									lowerCAmelCase	:   str					     =					function_to_optimize






			def 							_snake_case   (    self )	->					int:
									return self.function(self.x    ,  self.y )






			def 							_snake_case   (    self )	->					Dict:
									lowerCAmelCase	:   int					     =					self.step_size
									return [
									    SearchProblem(lowercase_    ,  lowercase_    ,  lowercase_    ,  self.function )
									    for x, y in (
									        (self.x - step_size, self.y - step_size),
									        (self.x - step_size, self.y),
									        (self.x - step_size, self.y + step_size),
									        (self.x, self.y - step_size),
									        (self.x, self.y + step_size),
									        (self.x + step_size, self.y - step_size),
									        (self.x + step_size, self.y),
									        (self.x + step_size, self.y + step_size),
									    )
									]






			def __hash__(    self )	->					int:
									return hash(str(self ) )






			def __eq__(    self    ,  lowercase_ )	->					Dict:
									if isinstance(lowercase_    ,  lowercase_ ):
															return hash(str(self ) ) == hash(str(lowercase_ ) )
									return False






			def __str__(    self )	->					List[str]:
									return f"""x: {self.x} y: {self.y}"""







def  _UpperCAmelCase  (				SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__ = True			,SCREAMING_SNAKE_CASE__ = math.inf			,SCREAMING_SNAKE_CASE__ = -math.inf			,SCREAMING_SNAKE_CASE__ = math.inf			,SCREAMING_SNAKE_CASE__ = -math.inf			,SCREAMING_SNAKE_CASE__ = False			,SCREAMING_SNAKE_CASE__ = 1_0_0_0_0			,):


						'''simple docstring'''




						lowerCAmelCase	:   Any					     =					search_prob
						lowerCAmelCase	:   Dict					     =					[]  # list to store the current score at each iteration
						lowerCAmelCase	:   Optional[int]					     =					0
						lowerCAmelCase	:   Dict					     =					False
						lowerCAmelCase	:   List[str]					     =					set()
						while not solution_found and iterations < max_iter:
												visited.add(SCREAMING_SNAKE_CASE__  )
												iterations += 1
												lowerCAmelCase	:   List[str]					     =					current_state.score()
												scores.append(SCREAMING_SNAKE_CASE__  )
												lowerCAmelCase	:   Optional[int]					     =					current_state.get_neighbors()
												lowerCAmelCase	:   int					     =					-math.inf
												lowerCAmelCase	:   str					     =					math.inf
												lowerCAmelCase	:   str					     =					None  # to hold the next best neighbor
												for neighbor in neighbors:
																		if neighbor in visited:
																								continue  # do not want to visit the same state again
																		if (
																		    neighbor.x > max_x
																		    or neighbor.x < min_x
																		    or neighbor.y > max_y
																		    or neighbor.y < min_y
																		):
																								continue  # neighbor outside our bounds
																		lowerCAmelCase	:   str					     =					neighbor.score() - current_score
																		if find_max:  # finding max
																								# going to direction with greatest ascent
																								if change > max_change and change > 0:
																														lowerCAmelCase	:   int					     =					change
																														lowerCAmelCase	:   int					     =					neighbor
																		else:  # finding min
																								# to direction with greatest descent
																								if change < min_change and change < 0:
																														lowerCAmelCase	:   Optional[int]					     =					change
																														lowerCAmelCase	:   str					     =					neighbor
												if next_state is not None:
																		# we found at least one neighbor which improved the current state
																		lowerCAmelCase	:   Union[str, Any]					     =					next_state
												else:
																		# since we have no neighbor that improves the solution we stop the search
																		lowerCAmelCase	:   Dict					     =					True

						if visualization:
												from matplotlib import pyplot as plt

												plt.plot(range(SCREAMING_SNAKE_CASE__  )			,SCREAMING_SNAKE_CASE__  )
												plt.xlabel("""Iterations"""  )
												plt.ylabel("""Function values"""  )
												plt.show()

						return current_state


if __name__ == "__main__":
		import doctest

		doctest.testmod()







		def  _UpperCAmelCase  (				SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__  ):


								'''simple docstring'''




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

		# starting the problem with initial coordinates (3, 4)
		lowerCAmelCase					:				Tuple   	=SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
		lowerCAmelCase					:				List[str]   	=hill_climbing(prob, find_max=False)
		print(
		    'The minimum score for f(x, y) = x^2 + y^2 found via hill climbing: '
		    F'''{local_min.score()}'''
		)

		# 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					:				int   	=hill_climbing(
		    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()}'''
		)







		def  _UpperCAmelCase  (				SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__  ):


								'''simple docstring'''




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

		lowerCAmelCase					:				Any   	=SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
		lowerCAmelCase					:				Tuple   	=hill_climbing(prob, find_max=True)

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






import os

from apache_beam.io.filesystems import FileSystems
from apache_beam.pipeline import Pipeline

from .logging import get_logger


lowerCAmelCase					:				Union[str, Any]   	=2 << 20  # 2mb
lowerCAmelCase					:				Union[str, Any]   	=get_logger(__name__)






class 	_a			(      snake_case_  ):






			def 							_snake_case   (    self )	->					Dict:
									lowerCAmelCase	:   Optional[int]					     =					self._options.get_all_options().get("""runner""" )
									return runner in [None, "DirectRunner", "PortableRunner"]







def  _UpperCAmelCase  (				SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__=False  ):


						'''simple docstring'''




						lowerCAmelCase	:   Union[str, Any]					     =					FileSystems
						if fs.exists(SCREAMING_SNAKE_CASE__  ):
												if force_upload:
																		logger.info(F"""Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True."""  )
												else:
																		logger.info(F"""Remote path already exist: {remote_file_path}. Skipping it as force_upload=False."""  )
																		return
						with fs.create(SCREAMING_SNAKE_CASE__  ) as remote_file:
												with open(SCREAMING_SNAKE_CASE__			,"""rb"""  ) as local_file:
																		lowerCAmelCase	:   Any					     =					local_file.read(SCREAMING_SNAKE_CASE__  )
																		while chunk:
																								remote_file.write(SCREAMING_SNAKE_CASE__  )
																								lowerCAmelCase	:   List[str]					     =					local_file.read(SCREAMING_SNAKE_CASE__  )







def  _UpperCAmelCase  (				SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__=False  ):


						'''simple docstring'''




						lowerCAmelCase	:   Optional[int]					     =					FileSystems
						if os.path.exists(SCREAMING_SNAKE_CASE__  ):
												if force_download:
																		logger.info(F"""Local path already exist: {remote_file_path}. Overwriting it as force_upload=True."""  )
												else:
																		logger.info(F"""Local path already exist: {remote_file_path}. Skipping it as force_upload=False."""  )
																		return
						with fs.open(SCREAMING_SNAKE_CASE__  ) as remote_file:
												with open(SCREAMING_SNAKE_CASE__			,"""wb"""  ) as local_file:
																		lowerCAmelCase	:   Optional[int]					     =					remote_file.read(SCREAMING_SNAKE_CASE__  )
																		while chunk:
																								local_file.write(SCREAMING_SNAKE_CASE__  )
																								lowerCAmelCase	:   Union[str, Any]					     =					remote_file.read(SCREAMING_SNAKE_CASE__  )

