






import math

class        _SCREAMING_SNAKE_CASE			:





	def __init__(						self							:   int					,    __lowerCamelCase							:   int					,    __lowerCamelCase							:   int					,    __lowerCamelCase							:   int					,    __lowerCamelCase							:   Tuple      ):
		UpperCamelCase	:int		=      x
		UpperCamelCase	:Dict		=      y
		UpperCamelCase	:Tuple		=      step_size
		UpperCamelCase	:Union[str, Any]		=      function_to_optimize





	def 		_A					(						self							:   List[str]      ):
		return self.function(self.x					,    self.y      )





	def 		_A					(						self							:   Union[str, Any]      ):
		UpperCamelCase	:Union[str, Any]		=      self.step_size
		return [
		    SearchProblem(__lowerCamelCase					,    __lowerCamelCase					,    __lowerCamelCase					,    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							:   Tuple      ):
		return hash(str(self      )      )





	def __eq__(						self							:   List[str]					,    __lowerCamelCase							:   Union[str, Any]      ):
		if isinstance(__lowerCamelCase					,    __lowerCamelCase      ):
			return hash(str(self      )      ) == hash(str(__lowerCamelCase      )      )
		return False





	def __str__(						self							:   Union[str, Any]      ):
		return F"""x: {self.x} y: {self.y}"""

def   SCREAMING_SNAKE_CASE_				(				__magic_name__   :    Tuple      ,     __magic_name__   :    bool = True      ,     __magic_name__   :    float = math.inf      ,     __magic_name__   :    float = -math.inf      ,     __magic_name__   :    float = math.inf      ,     __magic_name__   :    float = -math.inf      ,     __magic_name__   :    bool = False      ,     __magic_name__   :    int = 1_0000      ,     )						->     SearchProblem:






	"""simple docstring"""



	UpperCamelCase	:Optional[int]		=      search_prob
	UpperCamelCase	:Dict		=      []  # list to store the current score at each iteration
	UpperCamelCase	:List[Any]		=      0
	UpperCamelCase	:Optional[Any]		=      False
	UpperCamelCase	:Tuple		=      set()
	while not solution_found and iterations < max_iter:
		visited.add(__magic_name__   )
		iterations += 1
		UpperCamelCase	:Union[str, Any]		=      current_state.score()
		scores.append(__magic_name__   )
		UpperCamelCase	:List[Any]		=      current_state.get_neighbors()
		UpperCamelCase	:Union[str, Any]		=      -math.inf
		UpperCamelCase	:Tuple		=      math.inf
		UpperCamelCase	:int		=      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
			UpperCamelCase	:Tuple		=      neighbor.score() - current_score
			if find_max:  # finding max
				# going to direction with greatest ascent
				if change > max_change and change > 0:
					UpperCamelCase	:List[Any]		=      change
					UpperCamelCase	:Tuple		=      neighbor
			else:  # finding min
				# to direction with greatest descent
				if change < min_change and change < 0:
					UpperCamelCase	:List[str]		=      change
					UpperCamelCase	:str		=      neighbor
		if next_state is not None:
			# we found at least one neighbor which improved the current state
			UpperCamelCase	:int		=      next_state
		else:
			# since we have no neighbor that improves the solution we stop the search
			UpperCamelCase	:int		=      True

	if visualization:
		from matplotlib import pyplot as plt

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

	return current_state


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	def   SCREAMING_SNAKE_CASE_				(				__magic_name__   :    Optional[int]      ,     __magic_name__   :    str   )						->     Optional[int]:






		"""simple docstring"""



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

	# starting the problem with initial coordinates (3, 4)
	UpperCAmelCase_					:		Tuple           = SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
	UpperCAmelCase_					:		Union[str, Any]           = 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)
	UpperCAmelCase_					:		Dict           = SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
	UpperCAmelCase_					:		Union[str, Any]           = hill_climbing(
	    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()}'''
	)

	def   SCREAMING_SNAKE_CASE_				(				__magic_name__   :    Union[str, Any]      ,     __magic_name__   :    Tuple   )						->     List[str]:






		"""simple docstring"""



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

	UpperCAmelCase_					:		List[Any]           = SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
	UpperCAmelCase_					:		int           = 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()}'''
	)








# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from pathlib import Path

from .config_args import default_config_file, load_config_from_file
from .config_utils import SubcommandHelpFormatter


UpperCAmelCase_					:		int           = '''Update an existing config file with the latest defaults while maintaining the old configuration.'''

def   SCREAMING_SNAKE_CASE_				(				__magic_name__   :    str   )						->     Dict:






	"""simple docstring"""



	UpperCamelCase	:Optional[int]		=      args.config_file
	if config_file is None and Path(__magic_name__   ).exists():
		UpperCamelCase	:int		=      default_config_file
	elif not Path(__magic_name__   ).exists():
		raise ValueError(f"""The passed config file located at {config_file} doesn't exist."""   )
	UpperCamelCase	:Dict		=      load_config_from_file(__magic_name__   )

	if config_file.endswith(""".json"""   ):
		config.to_json_file(__magic_name__   )
	else:
		config.to_yaml_file(__magic_name__   )
	return config_file

def   SCREAMING_SNAKE_CASE_				(				__magic_name__   :    int      ,     __magic_name__   :    Optional[Any]   )						->     List[str]:






	"""simple docstring"""



	UpperCamelCase	:Union[str, Any]		=      parser.add_parser("""update"""      ,     parents=__magic_name__      ,     help=__magic_name__      ,     formatter_class=__magic_name__   )
	parser.add_argument(
	    """--config_file"""      ,     default=__magic_name__      ,     help=(
	        """The path to the config file to update. Will default to a file named default_config.yaml in the cache """
	        """location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have """
	        """such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed """
	        """with 'huggingface'."""
	    )      ,     )

	parser.set_defaults(func=__magic_name__   )
	return parser

def   SCREAMING_SNAKE_CASE_				(				__magic_name__   :    Union[str, Any]   )						->     Union[str, Any]:






	"""simple docstring"""



	UpperCamelCase	:Tuple		=      update_config(__magic_name__   )
	print(f"""Sucessfully updated the configuration file at {config_file}."""   )
