





'''simple docstring'''




import glob
import os
import random
from string import ascii_lowercase, digits

import cva
a__					:			str          =     ''''''
a__					:			Union[str, Any]          =     ''''''
a__					:			Optional[Any]          =     ''''''
a__					:			List[Any]          =     1  # (0 is vertical, 1 is horizontal)




def 						__lowerCamelCase			(	)   ->None:
	snake_case__       ,  snake_case__	       =   get_dataset(UpperCAmelCase_					,				UpperCAmelCase_							)
	print('Processing...'							)
	snake_case__       ,  snake_case__       ,  snake_case__	       =   update_image_and_anno(UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_							)

	for index, image in enumerate(UpperCAmelCase_							):
		# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
		snake_case__	       =   random_chars(32							)
		snake_case__	       =   paths[index].split(os.sep							)[-1].rsplit('.'					,				1							)[0]
		snake_case__	       =   f'''{OUTPUT_DIR}/{file_name}_FLIP_{letter_code}'''
		cva.imwrite(f'''/{file_root}.jpg'''					,				UpperCAmelCase_					,				[cva.IMWRITE_JPEG_QUALITY, 85]							)
		print(f'''Success {index+1}/{len(UpperCAmelCase_							)} with {file_name}'''							)
		snake_case__	       =   []
		for anno in new_annos[index]:
			snake_case__	       =   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_					,				UpperCAmelCase_							)   ->tuple[list, list]:
	snake_case__	       =   []
	snake_case__	       =   []
	for label_file in glob.glob(os.path.join(UpperCAmelCase_					,				'*.txt'							)							):
		snake_case__	       =   label_file.split(os.sep							)[-1].rsplit('.'					,				1							)[0]
		with open(UpperCAmelCase_							) as in_file:
			snake_case__	       =   in_file.readlines()
		snake_case__	       =   os.path.join(UpperCAmelCase_					,				f'''{label_name}.jpg'''							)

		snake_case__	       =   []
		for obj_list in obj_lists:
			snake_case__	       =   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_					,				UpperCAmelCase_					,				UpperCAmelCase_ = 1							)   ->tuple[list, list, list]:
	snake_case__	       =   []
	snake_case__	       =   []
	snake_case__	       =   []
	for idx in range(len(UpperCAmelCase_							)							):
		snake_case__	       =   []
		snake_case__	       =   img_list[idx]
		path_list.append(UpperCAmelCase_							)
		snake_case__	       =   anno_list[idx]
		snake_case__	       =   cva.imread(UpperCAmelCase_							)
		if flip_type == 1:
			snake_case__	       =   cva.flip(UpperCAmelCase_					,				UpperCAmelCase_							)
			for bbox in img_annos:
				snake_case__	       =   1 - bbox[1]
				new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]							)
		elif flip_type == 0:
			snake_case__	       =   cva.flip(UpperCAmelCase_					,				UpperCAmelCase_							)
			for bbox in img_annos:
				snake_case__	       =   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_ = 32							)   ->str:
	assert number_char > 1, "The number of character should greater than 1"
	snake_case__	       =   ascii_lowercase + digits
	return "".join(random.choice(UpperCAmelCase_							) for _ in range(UpperCAmelCase_							)							)


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










'''simple docstring'''




from __future__ import annotations

a__					:			Optional[int]          =     list[tuple[int, int]]

a__					:			List[Any]          =     [
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

a__					:			Optional[int]          =     ([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right






class 				__snake_case     :





	def __init__(		self      ,       UpperCamelCase_      ,       UpperCamelCase_      ,       UpperCamelCase_      ,       UpperCamelCase_      ,       UpperCamelCase_      ,       UpperCamelCase_      ,       )      ->		Any:
		snake_case__	       =   pos_x
		snake_case__	       =   pos_y
		snake_case__	       =   (pos_y, pos_x)
		snake_case__	       =   goal_x
		snake_case__	       =   goal_y
		snake_case__	       =   g_cost
		snake_case__	       =   parent
		snake_case__	       =   self.calculate_heuristic()





	def   _snake_case   (		self		)      ->		float:
		snake_case__	       =   abs(self.pos_x - self.goal_x		)
		snake_case__	       =   abs(self.pos_y - self.goal_y		)
		return dx + dy





	def __lt__(		self      ,       UpperCamelCase_		)      ->		bool:
		return self.f_cost < other.f_cost






class 				__snake_case     :





	def __init__(		self      ,       UpperCamelCase_      ,       UpperCamelCase_		)      ->		Any:
		snake_case__	       =   Node(start[1]      ,       start[0]      ,       goal[1]      ,       goal[0]      ,       0      ,       UpperCamelCase_		)
		snake_case__	       =   Node(goal[1]      ,       goal[0]      ,       goal[1]      ,       goal[0]      ,       9_9999      ,       UpperCamelCase_		)

		snake_case__	       =   [self.start]
		snake_case__	       =   []

		snake_case__	       =   False





	def   _snake_case   (		self		)      ->		Path | None:
		while self.open_nodes:
			# Open Nodes are sorted using __lt__
			self.open_nodes.sort()
			snake_case__	       =   self.open_nodes.pop(0		)

			if current_node.pos == self.target.pos:
				snake_case__	       =   True
				return self.retrace_path(UpperCamelCase_		)

			self.closed_nodes.append(UpperCamelCase_		)
			snake_case__	       =   self.get_successors(UpperCamelCase_		)

			for child_node in successors:
				if child_node in self.closed_nodes:
					continue

				if child_node not in self.open_nodes:
					self.open_nodes.append(UpperCamelCase_		)
				else:
					# retrieve the best current path
					snake_case__	       =   self.open_nodes.pop(self.open_nodes.index(UpperCamelCase_		)		)

					if child_node.g_cost < better_node.g_cost:
						self.open_nodes.append(UpperCamelCase_		)
					else:
						self.open_nodes.append(UpperCamelCase_		)

		if not self.reached:
			return [self.start.pos]
		return None





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		list[Node]:
		snake_case__	       =   []
		for action in delta:
			snake_case__	       =   parent.pos_x + action[1]
			snake_case__	       =   parent.pos_y + action[0]

			if not (0 <= pos_x <= len(grid[0]		) - 1 and 0 <= pos_y <= len(UpperCamelCase_		) - 1):
				continue

			if grid[pos_y][pos_x] != 0:
				continue

			successors.append(
			    Node(
			        UpperCamelCase_      ,       UpperCamelCase_      ,       self.target.pos_y      ,       self.target.pos_x      ,       parent.g_cost + 1      ,       UpperCamelCase_      ,       )		)
		return successors





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		Path:
		snake_case__	       =   node
		snake_case__	       =   []
		while current_node is not None:
			path.append((current_node.pos_y, current_node.pos_x)		)
			snake_case__	       =   current_node.parent
		path.reverse()
		return path


if __name__ == "__main__":
			a__					:			List[str]          =     (0, 0)
			a__					:			Dict          =     (len(grid) - 1, len(grid[0]) - 1)
			for elem in grid:
						print(elem)

			print('''------''')

			a__					:			Optional[int]          =     GreedyBestFirst(init, goal)
			a__					:			Optional[int]          =     greedy_bf.search()
			if path:
						for pos_x, pos_y in path:
									a__					:			Tuple          =     2

						for elem in grid:
									print(elem)



