




'''simple docstring'''







import math





class      lowerCamelCase_							:




					'''simple docstring'''






					def __init__(    self,  __UpperCamelCase,  __UpperCamelCase,  __UpperCamelCase,  __UpperCamelCase ):
							_snake_case	       =       x
							_snake_case	       =       y
							_snake_case	       =       step_size
							_snake_case	       =       function_to_optimize






					def 				__SCREAMING_SNAKE_CASE	(    self ):
							return self.function(self.x,  self.y )






					def 				__SCREAMING_SNAKE_CASE	(    self ):
							_snake_case	       =       self.step_size
							return [
							    SearchProblem(__UpperCamelCase,  __UpperCamelCase,  __UpperCamelCase,  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 ):
							return hash(str(self ) )






					def __eq__(    self,  __UpperCamelCase ):
							if isinstance(__UpperCamelCase,  __UpperCamelCase ):
									return hash(str(self ) ) == hash(str(__UpperCamelCase ) )
							return False






					def __str__(    self ):
							return f'''x: {self.x} y: {self.y}'''






def 		_lowercase		(	lowercase_						,							lowercase_ = True						,							lowercase_ = math.inf						,							lowercase_ = -math.inf						,							lowercase_ = math.inf						,							lowercase_ = -math.inf						,							lowercase_ = False						,							lowercase_ = 10000						,							):



		'''simple docstring'''







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

		if visualization:
				from matplotlib import pyplot as plt

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

		return current_state


if __name__ == "__main__":
						import doctest

						doctest.testmod()






						def 		_lowercase		(	lowercase_						,							lowercase_  ):



								'''simple docstring'''







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

						# starting the problem with initial coordinates (3, 4)
						_lowerCamelCase							:						List[str]								=  SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
						_lowerCamelCase							:						Dict								=  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							:						List[Any]								=  SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
						_lowerCamelCase							:						Union[str, Any]								=  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 		_lowercase		(	lowercase_						,							lowercase_  ):



								'''simple docstring'''







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

						_lowerCamelCase							:						int								=  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()}'''
						)











'''simple docstring'''







import importlib
import inspect
from functools import wraps
from typing import TYPE_CHECKING, Optional, Union

from .download.streaming_download_manager import (
    xbasename,
    xdirname,
    xet_parse,
    xexists,
    xgetsize,
    xglob,
    xgzip_open,
    xisdir,
    xisfile,
    xjoin,
    xlistdir,
    xnumpy_load,
    xopen,
    xpandas_read_csv,
    xpandas_read_excel,
    xPath,
    xrelpath,
    xsio_loadmat,
    xsplit,
    xsplitext,
    xwalk,
    xxml_dom_minidom_parse,
)
from .utils.logging import get_logger
from .utils.patching import patch_submodule
from .utils.py_utils import get_imports


_lowerCamelCase							:						int								=  get_logger(__name__)


if TYPE_CHECKING:
						from .builder import DatasetBuilder






def 		_lowercase		(	lowercase_						,							lowercase_ = None  ):



		'''simple docstring'''







		_snake_case	       =       importlib.import_module(lowercase_  )

		# TODO(QL): always update the module to add subsequent new authentication
		if hasattr(lowercase_						,							"_patched_for_streaming"  ) and module._patched_for_streaming:
				return

		def wrap_auth(lowercase_  ):
				@wraps(lowercase_  )
				def wrapper(*lowercase_						,							**lowercase_  ):
						return function(*lowercase_						,							use_auth_token=lowercase_						,							**lowercase_  )

				_snake_case	       =       "wrap_auth"
				return wrapper

		# open files in a streaming fashion
		patch_submodule(lowercase_						,							"open"						,							wrap_auth(lowercase_  )  ).start()
		patch_submodule(lowercase_						,							"os.listdir"						,							wrap_auth(lowercase_  )  ).start()
		patch_submodule(lowercase_						,							"os.walk"						,							wrap_auth(lowercase_  )  ).start()
		patch_submodule(lowercase_						,							"glob.glob"						,							wrap_auth(lowercase_  )  ).start()
		# allow to navigate in remote zip files
		patch_submodule(lowercase_						,							"os.path.join"						,							lowercase_  ).start()
		patch_submodule(lowercase_						,							"os.path.dirname"						,							lowercase_  ).start()
		patch_submodule(lowercase_						,							"os.path.basename"						,							lowercase_  ).start()
		patch_submodule(lowercase_						,							"os.path.relpath"						,							lowercase_  ).start()
		patch_submodule(lowercase_						,							"os.path.split"						,							lowercase_  ).start()
		patch_submodule(lowercase_						,							"os.path.splitext"						,							lowercase_  ).start()
		# allow checks on paths
		patch_submodule(lowercase_						,							"os.path.exists"						,							wrap_auth(lowercase_  )  ).start()
		patch_submodule(lowercase_						,							"os.path.isdir"						,							wrap_auth(lowercase_  )  ).start()
		patch_submodule(lowercase_						,							"os.path.isfile"						,							wrap_auth(lowercase_  )  ).start()
		patch_submodule(lowercase_						,							"os.path.getsize"						,							wrap_auth(lowercase_  )  ).start()
		patch_submodule(lowercase_						,							"pathlib.Path"						,							lowercase_  ).start()
		# file readers
		patch_submodule(lowercase_						,							"gzip.open"						,							wrap_auth(lowercase_  )  ).start()
		patch_submodule(lowercase_						,							"numpy.load"						,							wrap_auth(lowercase_  )  ).start()
		patch_submodule(lowercase_						,							"pandas.read_csv"						,							wrap_auth(lowercase_  )						,							attrs=["__version__"]  ).start()
		patch_submodule(lowercase_						,							"pandas.read_excel"						,							wrap_auth(lowercase_  )						,							attrs=["__version__"]  ).start()
		patch_submodule(lowercase_						,							"scipy.io.loadmat"						,							wrap_auth(lowercase_  )						,							attrs=["__version__"]  ).start()
		patch_submodule(lowercase_						,							"xml.etree.ElementTree.parse"						,							wrap_auth(lowercase_  )  ).start()
		patch_submodule(lowercase_						,							"xml.dom.minidom.parse"						,							wrap_auth(lowercase_  )  ).start()
		_snake_case	       =       True






def 		_lowercase		(	lowercase_  ):



		'''simple docstring'''







		extend_module_for_streaming(builder.__module__						,							use_auth_token=builder.use_auth_token  )
		# if needed, we also have to extend additional internal imports (like wmt14 -> wmt_utils)
		if not builder.__module__.startswith("datasets."  ):  # check that it's not a packaged builder like csv
				for imports in get_imports(inspect.getfile(builder.__class__  )  ):
						if imports[0] == "internal":
								_snake_case	       =       imports[1]
								_snake_case	       =       ".".join(builder.__module__.split("."  )[:-1] + [internal_import_name]  )
								extend_module_for_streaming(lowercase_						,							use_auth_token=builder.use_auth_token  )

    # builders can inherit from other builders that might use streaming functionality
    # (for example, ImageFolder and AudioFolder inherit from FolderBuilder which implements examples generation)
    # but these parents builders are not patched automatically as they are not instantiated, so we patch them here
		from .builder import DatasetBuilder

		_snake_case	       =       [
		    cls.__module__
		    for cls in type(lowercase_  ).__mro__[1:]  # make sure it's not the same module we've already patched
		    if issubclass(cls						,							lowercase_  ) and cls.__module__ != DatasetBuilder.__module__
		]  # check it's not a standard builder from datasets.builder
		for module in parent_builder_modules:
				extend_module_for_streaming(lowercase_						,							use_auth_token=builder.use_auth_token  )





