"""simple docstring"""




import math
import random
from typing import Any

from .hill_climbing import SearchProblem







def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__ = True      ,	lowerCamelCase__ = math.inf      ,	lowerCamelCase__ = -math.inf      ,	lowerCamelCase__ = math.inf      ,	lowerCamelCase__ = -math.inf      ,	lowerCamelCase__ = False      ,	lowerCamelCase__ = 100      ,	lowerCamelCase__ = 0.01      ,	lowerCamelCase__ = 1      ,	):





		"""simple docstring"""




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

		while not search_end:
				lowerCAmelCase__   = current_state.score()
				if best_state is None or current_score > best_state.score():
						lowerCAmelCase__   = current_state
				scores.append(lowerCamelCase__  )
				iterations += 1
				lowerCAmelCase__   = None
				lowerCAmelCase__   = current_state.get_neighbors()
				while (
				    next_state is None and neighbors
				):  # till we do not find a neighbor that we can move to
						lowerCAmelCase__   = random.randint(0      ,	len(lowerCamelCase__  ) - 1  )  # picking a random neighbor
						lowerCAmelCase__   = neighbors.pop(lowerCamelCase__  )
						lowerCAmelCase__   = 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:
								lowerCAmelCase__   = change * -1  # in case we are finding minimum
						if change > 0:  # improves the solution
								lowerCAmelCase__   = picked_neighbor
						else:
								lowerCAmelCase__   = (math.e) ** (
								    change / current_temp
								)  # probability generation function
								if random.random() < probability:  # random number within probability
										lowerCAmelCase__   = picked_neighbor
				lowerCAmelCase__   = 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
						lowerCAmelCase__   = True
				else:
						lowerCAmelCase__   = 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 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__  ):





					"""simple docstring"""




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

			# starting the problem with initial coordinates (12, 47)
			__lowerCAmelCase     :				str    				=    SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
			__lowerCAmelCase     :				str    				=    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)
			__lowerCAmelCase     :				str    				=    SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
			__lowerCAmelCase     :				Tuple    				=    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 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__  ):





					"""simple docstring"""




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

			__lowerCAmelCase     :				Any    				=    SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
			__lowerCAmelCase     :				Dict    				=    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     :				Optional[Any]    				=    SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
			__lowerCAmelCase     :				List[str]    				=    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()}"
			)





"""simple docstring"""




import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


__lowerCAmelCase     :				str    				=    "__DUMMY_TRANSFORMERS_USER__"
__lowerCAmelCase     :				Dict    				=    "Dummy User"
__lowerCAmelCase     :				Optional[Any]    				=    "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"

__lowerCAmelCase     :				str    				=    "https://hub-ci.huggingface.co"
__lowerCAmelCase     :				int    				=    CI_HUB_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}"
__lowerCAmelCase     :				Dict    				=    CI_HUB_ENDPOINT + "/{repo_id}/resolve/{revision}/{filename}"
__lowerCAmelCase     :				Optional[Any]    				=    Path("~/.huggingface/hub_ci_token").expanduser()







@pytest.fixture
def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		monkeypatch.setattr(
		    """huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE"""      ,	lowerCamelCase__  )







@pytest.fixture
def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		monkeypatch.setattr("""datasets.config.HF_ENDPOINT"""      ,	lowerCamelCase__  )
		monkeypatch.setattr("""datasets.config.HUB_DATASETS_URL"""      ,	lowerCamelCase__  )







@pytest.fixture
def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		monkeypatch.setattr("""huggingface_hub.hf_api.HfFolder.path_token"""      ,	lowerCamelCase__  )







@pytest.fixture
def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		HfFolder.save_token(lowerCamelCase__  )
		yield
		HfFolder.delete_token()







@pytest.fixture(scope="""session"""  )
def 				_UpperCAmelCase		(							):





		"""simple docstring"""




		return HfApi(endpoint=lowerCamelCase__  )







@pytest.fixture(scope="""session"""  )
def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		lowerCAmelCase__   = HfFolder.get_token()
		HfFolder.save_token(lowerCamelCase__  )
		yield CI_HUB_USER_TOKEN
		if previous_token is not None:
				HfFolder.save_token(lowerCamelCase__  )







@pytest.fixture
def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		def _cleanup_repo(lowerCamelCase__  ):
				hf_api.delete_repo(lowerCamelCase__      ,	token=lowerCamelCase__      ,	repo_type="""dataset"""  )

		return _cleanup_repo







@pytest.fixture
def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		@contextmanager
		def _temporary_repo(lowerCamelCase__  ):
				try:
						yield repo_id
				finally:
						cleanup_repo(lowerCamelCase__  )

		return _temporary_repo







@pytest.fixture(scope="""session"""  )
def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		lowerCAmelCase__   = f"""repo_txt_data-{int(time.time() * 10e3  )}"""
		lowerCAmelCase__   = f"""{CI_HUB_USER}/{repo_name}"""
		hf_api.create_repo(lowerCamelCase__      ,	token=lowerCamelCase__      ,	repo_type="""dataset"""      ,	private=lowerCamelCase__  )
		hf_api.upload_file(
		    token=lowerCamelCase__      ,	path_or_fileobj=str(lowerCamelCase__  )      ,	path_in_repo="""data/text_data.txt"""      ,	repo_id=lowerCamelCase__      ,	repo_type="""dataset"""      ,	)
		yield repo_id
		try:
				hf_api.delete_repo(lowerCamelCase__      ,	token=lowerCamelCase__      ,	repo_type="""dataset"""  )
		except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
				pass







@pytest.fixture()
def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		return hf_private_dataset_repo_txt_data_







@pytest.fixture(scope="""session"""  )
def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		lowerCAmelCase__   = f"""repo_zipped_txt_data-{int(time.time() * 10e3  )}"""
		lowerCAmelCase__   = f"""{CI_HUB_USER}/{repo_name}"""
		hf_api.create_repo(lowerCamelCase__      ,	token=lowerCamelCase__      ,	repo_type="""dataset"""      ,	private=lowerCamelCase__  )
		hf_api.upload_file(
		    token=lowerCamelCase__      ,	path_or_fileobj=str(lowerCamelCase__  )      ,	path_in_repo="""data.zip"""      ,	repo_id=lowerCamelCase__      ,	repo_type="""dataset"""      ,	)
		yield repo_id
		try:
				hf_api.delete_repo(lowerCamelCase__      ,	token=lowerCamelCase__      ,	repo_type="""dataset"""  )
		except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
				pass







@pytest.fixture()
def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		return hf_private_dataset_repo_zipped_txt_data_







@pytest.fixture(scope="""session"""  )
def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		lowerCAmelCase__   = f"""repo_zipped_img_data-{int(time.time() * 10e3  )}"""
		lowerCAmelCase__   = f"""{CI_HUB_USER}/{repo_name}"""
		hf_api.create_repo(lowerCamelCase__      ,	token=lowerCamelCase__      ,	repo_type="""dataset"""      ,	private=lowerCamelCase__  )
		hf_api.upload_file(
		    token=lowerCamelCase__      ,	path_or_fileobj=str(lowerCamelCase__  )      ,	path_in_repo="""data.zip"""      ,	repo_id=lowerCamelCase__      ,	repo_type="""dataset"""      ,	)
		yield repo_id
		try:
				hf_api.delete_repo(lowerCamelCase__      ,	token=lowerCamelCase__      ,	repo_type="""dataset"""  )
		except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
				pass







@pytest.fixture()
def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		return hf_private_dataset_repo_zipped_img_data_




