import math
import random
from typing import Any

from .hill_climbing import SearchProblem





def       lowerCAmelCase					(		UpperCamelCase__				:   Optional[int]    ,					UpperCamelCase__				:   bool = True    ,					UpperCamelCase__				:   float = math.inf    ,					UpperCamelCase__				:   float = -math.inf    ,					UpperCamelCase__				:   float = math.inf    ,					UpperCamelCase__				:   float = -math.inf    ,					UpperCamelCase__				:   bool = False    ,					UpperCamelCase__				:   float = 1_0_0    ,					UpperCamelCase__				:   float = 0.01    ,					UpperCamelCase__				:   float = 1    ,					):


	"""simple docstring"""
	__UpperCAmelCase							=			False
	__UpperCAmelCase							=			search_prob
	__UpperCAmelCase							=			start_temperate
	__UpperCAmelCase							=			[]
	__UpperCAmelCase							=			0
	__UpperCAmelCase							=			None

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

	if visualization:
		from matplotlib import pyplot as plt

		plt.plot(range(UpperCamelCase__       )    ,					UpperCamelCase__       )
		plt.xlabel('''Iterations'''       )
		plt.ylabel('''Function values'''       )
		plt.show()
	return best_state


if __name__ == "__main__":





					def       lowerCAmelCase					(		UpperCamelCase__				:   Any    ,					UpperCamelCase__				:   List[str]       ):


						"""simple docstring"""
						return (x**2) + (y**2)

					# 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[str]						       =	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[str]						       =	SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
					__lowerCAmelCase	:       int						       =	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       lowerCAmelCase					(		UpperCamelCase__				:   Optional[Any]    ,					UpperCamelCase__				:   Union[str, Any]       ):


						"""simple docstring"""
						return (3 * x**2) - (6 * y)

					__lowerCAmelCase	:       Union[str, Any]						       =	SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
					__lowerCAmelCase	:       Optional[Any]						       =	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	:       Union[str, 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 glob
import os
import random
from string import ascii_lowercase, digits

import cva
__lowerCAmelCase	:       Any						       =	""
__lowerCAmelCase	:       int						       =	""
__lowerCAmelCase	:       Union[str, Any]						       =	""
__lowerCAmelCase	:       Any						       =	1  # (0 is vertical, 1 is horizontal)





def       lowerCAmelCase					(		):


	"""simple docstring"""
	__UpperCAmelCase				,			__UpperCAmelCase							=			get_dataset(UpperCamelCase__    ,					UpperCamelCase__       )
	print('''Processing...'''       )
	__UpperCAmelCase				,			__UpperCAmelCase				,			__UpperCAmelCase							=			update_image_and_anno(UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__       )

	for index, image in enumerate(UpperCamelCase__       ):
		# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
		__UpperCAmelCase							=			random_chars(3_2       )
		__UpperCAmelCase							=			paths[index].split(os.sep       )[-1].rsplit('''.'''    ,					1       )[0]
		__UpperCAmelCase							=			f"""{OUTPUT_DIR}/{file_name}_FLIP_{letter_code}"""
		cva.imwrite(f"""/{file_root}.jpg"""    ,					UpperCamelCase__    ,					[cva.IMWRITE_JPEG_QUALITY, 8_5]       )
		print(f"""Success {index+1}/{len(UpperCamelCase__       )} with {file_name}"""       )
		__UpperCAmelCase							=			[]
		for anno in new_annos[index]:
			__UpperCAmelCase							=			f"""{anno[0]} {anno[1]} {anno[2]} {anno[3]} {anno[4]}"""
			annos_list.append(UpperCamelCase__       )
		with open(f"""/{file_root}.txt"""    ,					'''w'''       ) as outfile:
			outfile.write('''\n'''.join(line for line in annos_list       )       )





def       lowerCAmelCase					(		UpperCamelCase__				:   str    ,					UpperCamelCase__				:   str       ):


	"""simple docstring"""
	__UpperCAmelCase							=			[]
	__UpperCAmelCase							=			[]
	for label_file in glob.glob(os.path.join(UpperCamelCase__    ,					'''*.txt'''       )       ):
		__UpperCAmelCase							=			label_file.split(os.sep       )[-1].rsplit('''.'''    ,					1       )[0]
		with open(UpperCamelCase__       ) as in_file:
			__UpperCAmelCase							=			in_file.readlines()
		__UpperCAmelCase							=			os.path.join(UpperCamelCase__    ,					f"""{label_name}.jpg"""       )

		__UpperCAmelCase							=			[]
		for obj_list in obj_lists:
			__UpperCAmelCase							=			obj_list.rstrip('''\n'''       ).split(''' '''       )
			boxes.append(
			    [
			        int(obj[0]       ),
			        float(obj[1]       ),
			        float(obj[2]       ),
			        float(obj[3]       ),
			        float(obj[4]       ),
			    ]       )
		if not boxes:
			continue
		img_paths.append(UpperCamelCase__       )
		labels.append(UpperCamelCase__       )
	return img_paths, labels





def       lowerCAmelCase					(		UpperCamelCase__				:   list    ,					UpperCamelCase__				:   list    ,					UpperCamelCase__				:   int = 1       ):


	"""simple docstring"""
	__UpperCAmelCase							=			[]
	__UpperCAmelCase							=			[]
	__UpperCAmelCase							=			[]
	for idx in range(len(UpperCamelCase__       )       ):
		__UpperCAmelCase							=			[]
		__UpperCAmelCase							=			img_list[idx]
		path_list.append(UpperCamelCase__       )
		__UpperCAmelCase							=			anno_list[idx]
		__UpperCAmelCase							=			cva.imread(UpperCamelCase__       )
		if flip_type == 1:
			__UpperCAmelCase							=			cva.flip(UpperCamelCase__    ,					UpperCamelCase__       )
			for bbox in img_annos:
				__UpperCAmelCase							=			1 - bbox[1]
				new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]       )
		elif flip_type == 0:
			__UpperCAmelCase							=			cva.flip(UpperCamelCase__    ,					UpperCamelCase__       )
			for bbox in img_annos:
				__UpperCAmelCase							=			1 - bbox[2]
				new_annos.append([bbox[0], bbox[1], y_center_new, bbox[3], bbox[4]]       )
		new_annos_lists.append(UpperCamelCase__       )
		new_imgs_list.append(UpperCamelCase__       )
	return new_imgs_list, new_annos_lists, path_list





def       lowerCAmelCase					(		UpperCamelCase__				:   int = 3_2       ):


	"""simple docstring"""
	assert number_char > 1, "The number of character should greater than 1"
	__UpperCAmelCase							=			ascii_lowercase + digits
	return "".join(random.choice(UpperCamelCase__       ) for _ in range(UpperCamelCase__       )       )


if __name__ == "__main__":
					main()
					print("DONE ✅")
