





'''simple docstring'''



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

import cva
import numpy as np

# Parrameters
_SCREAMING_SNAKE_CASE   =      (7_2_0, 1_2_8_0)  # Height, Width
_SCREAMING_SNAKE_CASE   =      (0.4, 0.6)  # if height or width lower than this scale, drop it.
_SCREAMING_SNAKE_CASE   =      1 / 1_0_0
_SCREAMING_SNAKE_CASE   =      ''''''
_SCREAMING_SNAKE_CASE   =      ''''''
_SCREAMING_SNAKE_CASE   =      ''''''
_SCREAMING_SNAKE_CASE   =      2_5_0




def 				_lowerCAmelCase  (			):
			__lowercase  ,						__lowercase			  =							get_dataset(__lowerCamelCase						,    __lowerCamelCase			)
			for index in range(__lowerCamelCase			):
						__lowercase			  =							random.sample(range(len(__lowerCamelCase			)			)						,    4			)
						__lowercase  ,						__lowercase  ,						__lowercase			  =							update_image_and_anno(
						    __lowerCamelCase						,    __lowerCamelCase						,    __lowerCamelCase						,    __lowerCamelCase						,    __lowerCamelCase						,    filter_scale=__lowerCamelCase						,    )

						# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
						__lowercase			  =							random_chars(3_2			)
						__lowercase			  =							path.split(os.sep			)[-1].rsplit('''.'''						,    1			)[0]
						__lowercase			  =							f"{OUTPUT_DIR}/{file_name}_MOSAIC_{letter_code}"
						cva.imwrite(f"{file_root}.jpg"						,    __lowerCamelCase						,    [cva.IMWRITE_JPEG_QUALITY, 8_5]			)
						print(f"Succeeded {index+1}/{NUMBER_IMAGES} with {file_name}"			)
						__lowercase			  =							[]
						for anno in new_annos:
									__lowercase			  =							anno[3] - anno[1]
									__lowercase			  =							anno[4] - anno[2]
									__lowercase			  =							anno[1] + width / 2
									__lowercase			  =							anno[2] + height / 2
									__lowercase			  =							f"{anno[0]} {x_center} {y_center} {width} {height}"
									annos_list.append(__lowerCamelCase			)
						with open(f"{file_root}.txt"						,    '''w'''			) as outfile:
									outfile.write('''\n'''.join(line for line in annos_list			)			)




def 				_lowerCAmelCase  (			lowerCamelCase_     :					str						,    lowerCamelCase_     :					str			):
			__lowercase			  =							[]
			__lowercase			  =							[]
			for label_file in glob.glob(os.path.join(__lowerCamelCase						,    '''*.txt'''			)			):
						__lowercase			  =							label_file.split(os.sep			)[-1].rsplit('''.'''						,    1			)[0]
						with open(__lowerCamelCase			) as in_file:
									__lowercase			  =							in_file.readlines()
						__lowercase			  =							os.path.join(__lowerCamelCase						,    f"{label_name}.jpg"			)

						__lowercase			  =							[]
						for obj_list in obj_lists:
									__lowercase			  =							obj_list.rstrip('''\n'''			).split(''' '''			)
									__lowercase			  =							float(obj[1]			) - float(obj[3]			) / 2
									__lowercase			  =							float(obj[2]			) - float(obj[4]			) / 2
									__lowercase			  =							float(obj[1]			) + float(obj[3]			) / 2
									__lowercase			  =							float(obj[2]			) + float(obj[4]			) / 2

									boxes.append([int(obj[0]			), xmin, ymin, xmax, ymax]			)
						if not boxes:
									continue
						img_paths.append(__lowerCamelCase			)
						labels.append(__lowerCamelCase			)
			return img_paths, labels




def 				_lowerCAmelCase  (			lowerCamelCase_     :					list						,    lowerCamelCase_     :					list						,    lowerCamelCase_     :					list[int]						,    lowerCamelCase_     :					tuple[int, int]						,    lowerCamelCase_     :					tuple[float, float]						,    lowerCamelCase_     :					float = 0.0						,    ):
			__lowercase			  =							np.zeros([output_size[0], output_size[1], 3]						,    dtype=np.uinta			)
			__lowercase			  =							scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
			__lowercase			  =							scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
			__lowercase			  =							int(scale_x * output_size[1]			)
			__lowercase			  =							int(scale_y * output_size[0]			)

			__lowercase			  =							[]
			__lowercase			  =							[]
			for i, index in enumerate(__lowerCamelCase			):
						__lowercase			  =							all_img_list[index]
						path_list.append(__lowerCamelCase			)
						__lowercase			  =							all_annos[index]
						__lowercase			  =							cva.imread(__lowerCamelCase			)
						if i == 0:  # top-left
									__lowercase			  =							cva.resize(__lowerCamelCase						,    (divid_point_x, divid_point_y)			)
									__lowercase			  =							img
									for bbox in img_annos:
												__lowercase			  =							bbox[1] * scale_x
												__lowercase			  =							bbox[2] * scale_y
												__lowercase			  =							bbox[3] * scale_x
												__lowercase			  =							bbox[4] * scale_y
												new_anno.append([bbox[0], xmin, ymin, xmax, ymax]			)
						elif i == 1:  # top-right
									__lowercase			  =							cva.resize(__lowerCamelCase						,    (output_size[1] - divid_point_x, divid_point_y)			)
									__lowercase			  =							img
									for bbox in img_annos:
												__lowercase			  =							scale_x + bbox[1] * (1 - scale_x)
												__lowercase			  =							bbox[2] * scale_y
												__lowercase			  =							scale_x + bbox[3] * (1 - scale_x)
												__lowercase			  =							bbox[4] * scale_y
												new_anno.append([bbox[0], xmin, ymin, xmax, ymax]			)
						elif i == 2:  # bottom-left
									__lowercase			  =							cva.resize(__lowerCamelCase						,    (divid_point_x, output_size[0] - divid_point_y)			)
									__lowercase			  =							img
									for bbox in img_annos:
												__lowercase			  =							bbox[1] * scale_x
												__lowercase			  =							scale_y + bbox[2] * (1 - scale_y)
												__lowercase			  =							bbox[3] * scale_x
												__lowercase			  =							scale_y + bbox[4] * (1 - scale_y)
												new_anno.append([bbox[0], xmin, ymin, xmax, ymax]			)
						else:  # bottom-right
									__lowercase			  =							cva.resize(
									    __lowerCamelCase						,    (output_size[1] - divid_point_x, output_size[0] - divid_point_y)			)
									__lowercase			  =							img
									for bbox in img_annos:
												__lowercase			  =							scale_x + bbox[1] * (1 - scale_x)
												__lowercase			  =							scale_y + bbox[2] * (1 - scale_y)
												__lowercase			  =							scale_x + bbox[3] * (1 - scale_x)
												__lowercase			  =							scale_y + bbox[4] * (1 - scale_y)
												new_anno.append([bbox[0], xmin, ymin, xmax, ymax]			)

						# Remove bounding box small than scale of filter
			if filter_scale > 0:
						__lowercase			  =							[
						    anno
						    for anno in new_anno
						    if filter_scale < (anno[3] - anno[1]) and filter_scale < (anno[4] - anno[2])
						]

			return output_img, new_anno, path_list[0]




def 				_lowerCAmelCase  (			lowerCamelCase_     :					int			):
			assert number_char > 1, "The number of character should greater than 1"
			__lowercase			  =							ascii_lowercase + digits
			return "".join(random.choice(__lowerCamelCase			) for _ in range(__lowerCamelCase			)			)


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












'''simple docstring'''



def 				_lowerCAmelCase  (			lowerCamelCase_     :					Union[str, Any]			):
			__lowercase			  =							1
			__lowercase			  =							2
			while i * i <= n:
						__lowercase			  =							0
						while n % i == 0:
									n //= i
									multiplicity += 1
						n_divisors *= multiplicity + 1
						i += 1
			if n > 1:
						n_divisors *= 2
			return n_divisors




def 				_lowerCAmelCase  (			):
			__lowercase			  =							1
			__lowercase			  =							1

			while True:
						i += 1
						t_num += i

						if count_divisors(lowerCamelCase_			) > 5_0_0:
									break

			return t_num


if __name__ == "__main__":
	print(solution())





