




"""simple docstring"""






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

import cva
import numpy as np

# Parrameters
lowercase__  		=		(720, 1280)  # Height, Width
lowercase__  		=		(0.4, 0.6)  # if height or width lower than this scale, drop it.
lowercase__  		=		1 / 100
lowercase__  		=		""""""
lowercase__  		=		""""""
lowercase__  		=		""""""
lowercase__  		=		250







def   _snake_case    (       ):
    _lowerCamelCase  :    Optional[Any]					=					get_dataset(lowercase__							,					lowercase__	)
    for index in range(lowercase__	):
        _lowerCamelCase  :    List[Any]					=					random.sample(range(len(lowercase__	)	)							,					4	)
        _lowerCamelCase  :    Union[str, Any]					=					update_image_and_anno(
            lowercase__							,					lowercase__							,					lowercase__							,					lowercase__							,					lowercase__							,					filter_scale=lowercase__							,					)

        # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
        _lowerCamelCase  :    str					=					random_chars(32	)
        _lowerCamelCase  :    List[str]					=					path.split(os.sep	)[-1].rsplit('.'							,					1	)[0]
        _lowerCamelCase  :    Any					=					f'''{OUTPUT_DIR}/{file_name}_MOSAIC_{letter_code}'''
        cva.imwrite(f'''{file_root}.jpg'''							,					lowercase__							,					[cva.IMWRITE_JPEG_QUALITY, 85]	)
        print(f'''Succeeded {index+1}/{NUMBER_IMAGES} with {file_name}'''	)
        _lowerCamelCase  :    Dict					=					[]
        for anno in new_annos:
            _lowerCamelCase  :    List[Any]					=					anno[3] - anno[1]
            _lowerCamelCase  :    Optional[int]					=					anno[4] - anno[2]
            _lowerCamelCase  :    Optional[int]					=					anno[1] + width / 2
            _lowerCamelCase  :    List[str]					=					anno[2] + height / 2
            _lowerCamelCase  :    str					=					f'''{anno[0]} {x_center} {y_center} {width} {height}'''
            annos_list.append(lowercase__	)
        with open(f'''{file_root}.txt'''							,					'w'	) as outfile:
            outfile.write('\n'.join(line for line in annos_list	)	)







def   _snake_case    (       lowercase__							,					lowercase__	):
    _lowerCamelCase  :    Dict					=					[]
    _lowerCamelCase  :    Optional[int]					=					[]
    for label_file in glob.glob(os.path.join(lowercase__							,					'*.txt'	)	):
        _lowerCamelCase  :    Optional[Any]					=					label_file.split(os.sep	)[-1].rsplit('.'							,					1	)[0]
        with open(lowercase__	) as in_file:
            _lowerCamelCase  :    Dict					=					in_file.readlines()
        _lowerCamelCase  :    Optional[int]					=					os.path.join(lowercase__							,					f'''{label_name}.jpg'''	)

        _lowerCamelCase  :    str					=					[]
        for obj_list in obj_lists:
            _lowerCamelCase  :    Union[str, Any]					=					obj_list.rstrip('\n'	).split(' '	)
            _lowerCamelCase  :    str					=					float(obj[1]	) - float(obj[3]	) / 2
            _lowerCamelCase  :    int					=					float(obj[2]	) - float(obj[4]	) / 2
            _lowerCamelCase  :    Any					=					float(obj[1]	) + float(obj[3]	) / 2
            _lowerCamelCase  :    int					=					float(obj[2]	) + float(obj[4]	) / 2

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







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__							,					lowercase__							,					lowercase__							,					lowercase__ = 0.0							,					):
    _lowerCamelCase  :    Optional[Any]					=					np.zeros([output_size[0], output_size[1], 3]							,					dtype=np.uinta	)
    _lowerCamelCase  :    List[str]					=					scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
    _lowerCamelCase  :    List[Any]					=					scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
    _lowerCamelCase  :    str					=					int(scale_x * output_size[1]	)
    _lowerCamelCase  :    int					=					int(scale_y * output_size[0]	)

    _lowerCamelCase  :    List[Any]					=					[]
    _lowerCamelCase  :    List[Any]					=					[]
    for i, index in enumerate(lowercase__	):
        _lowerCamelCase  :    List[str]					=					all_img_list[index]
        path_list.append(lowercase__	)
        _lowerCamelCase  :    List[str]					=					all_annos[index]
        _lowerCamelCase  :    Tuple					=					cva.imread(lowercase__	)
        if i == 0:  # top-left
            _lowerCamelCase  :    Dict					=					cva.resize(lowercase__							,					(divid_point_x, divid_point_y)	)
            _lowerCamelCase  :    Tuple					=					img
            for bbox in img_annos:
                _lowerCamelCase  :    Any					=					bbox[1] * scale_x
                _lowerCamelCase  :    List[str]					=					bbox[2] * scale_y
                _lowerCamelCase  :    Union[str, Any]					=					bbox[3] * scale_x
                _lowerCamelCase  :    str					=					bbox[4] * scale_y
                new_anno.append([bbox[0], xmin, ymin, xmax, ymax]	)
        elif i == 1:  # top-right
            _lowerCamelCase  :    Dict					=					cva.resize(lowercase__							,					(output_size[1] - divid_point_x, divid_point_y)	)
            _lowerCamelCase  :    Optional[Any]					=					img
            for bbox in img_annos:
                _lowerCamelCase  :    Optional[int]					=					scale_x + bbox[1] * (1 - scale_x)
                _lowerCamelCase  :    int					=					bbox[2] * scale_y
                _lowerCamelCase  :    Tuple					=					scale_x + bbox[3] * (1 - scale_x)
                _lowerCamelCase  :    List[str]					=					bbox[4] * scale_y
                new_anno.append([bbox[0], xmin, ymin, xmax, ymax]	)
        elif i == 2:  # bottom-left
            _lowerCamelCase  :    Dict					=					cva.resize(lowercase__							,					(divid_point_x, output_size[0] - divid_point_y)	)
            _lowerCamelCase  :    Optional[int]					=					img
            for bbox in img_annos:
                _lowerCamelCase  :    Any					=					bbox[1] * scale_x
                _lowerCamelCase  :    List[str]					=					scale_y + bbox[2] * (1 - scale_y)
                _lowerCamelCase  :    Tuple					=					bbox[3] * scale_x
                _lowerCamelCase  :    Tuple					=					scale_y + bbox[4] * (1 - scale_y)
                new_anno.append([bbox[0], xmin, ymin, xmax, ymax]	)
        else:  # bottom-right
            _lowerCamelCase  :    str					=					cva.resize(
                lowercase__							,					(output_size[1] - divid_point_x, output_size[0] - divid_point_y)	)
            _lowerCamelCase  :    int					=					img
            for bbox in img_annos:
                _lowerCamelCase  :    List[Any]					=					scale_x + bbox[1] * (1 - scale_x)
                _lowerCamelCase  :    int					=					scale_y + bbox[2] * (1 - scale_y)
                _lowerCamelCase  :    Optional[int]					=					scale_x + bbox[3] * (1 - scale_x)
                _lowerCamelCase  :    Tuple					=					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:
        _lowerCamelCase  :    Optional[int]					=					[
            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   _snake_case    (       lowercase__	):
    assert number_char > 1, "The number of character should greater than 1"
    _lowerCamelCase  :    Union[str, Any]					=					ascii_lowercase + digits
    return "".join(random.choice(lowercase__	) for _ in range(lowercase__	)	)


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





"""simple docstring"""






def   _snake_case    (       lowercase__	):
				_lowerCamelCase  :    List[str]					=					abs(lowercase__	)
				_lowerCamelCase  :    Optional[int]					=					0
				while n > 0:
								res += n % 10
								n //= 10
				return res







def   _snake_case    (       lowercase__	):
				_lowerCamelCase  :    List[str]					=					abs(lowercase__	)
				return n if n < 10 else n % 10 + sum_of_digits(n // 10	)







def   _snake_case    (       lowercase__	):
				return sum(int(lowercase__	) for c in str(abs(lowercase__	)	)	)







def   _snake_case    (       ):
				from collections.abc import Callable
				from timeit import timeit

				def benchmark_a_function(lowercase__							,					lowercase__	) -> None:
								_lowerCamelCase  :    int					=					f'''{func.__name__}({value})'''
								_lowerCamelCase  :    Optional[Any]					=					timeit(f'''__main__.{call}'''							,					setup='import __main__'	)
								print(f'''{call:56} = {func(lowercase__	)} -- {timing:.4f} seconds'''	)

				for value in (262144, 1125899906842624, 1267650600228229401496703205376):
								for func in (sum_of_digits, sum_of_digits_recursion, sum_of_digits_compact):
												benchmark_a_function(lowercase__							,					lowercase__	)
								print()


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			benchmark()