


'''simple docstring'''
import glob
import os
import random
from string import ascii_lowercase, digits

import cva
import numpy as np

# Parrameters
UpperCAmelCase_			:  Optional[Any]										=   (7_2_0, 1_2_8_0)  # Height, Width
UpperCAmelCase_			:  int										=   (0.4, 0.6)  # if height or width lower than this scale, drop it.
UpperCAmelCase_			:  Union[str, Any]										=   1 / 1_0_0
UpperCAmelCase_			:  Any										=   ''
UpperCAmelCase_			:  Optional[int]										=   ''
UpperCAmelCase_			:  Any										=   ''
UpperCAmelCase_			:  Any										=   2_5_0


def       _lowercase							(					):
 __A  ,__A	:		int	  =      get_dataset(UpperCamelCase__,					UpperCamelCase__      )
 for index in range(UpperCamelCase__      ):
  __A	:		str	  =      random.sample(range(len(UpperCamelCase__      )      ),					4      )
  __A  ,__A  ,__A	:		str	  =      update_image_and_anno(
      UpperCamelCase__,					UpperCamelCase__,					UpperCamelCase__,					UpperCamelCase__,					UpperCamelCase__,					filter_scale=UpperCamelCase__,					)

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


def       _lowercase							(					UpperCamelCase__							:       str,					UpperCamelCase__							:       str      ):
 __A	:		str	  =      []
 __A	:		Dict	  =      []
 for label_file in glob.glob(os.path.join(UpperCamelCase__,					'*.txt'      )      ):
  __A	:		Dict	  =      label_file.split(os.sep      )[-1].rsplit('.',					1      )[0]
  with open(UpperCamelCase__      ) as in_file:
   __A	:		List[str]	  =      in_file.readlines()
  __A	:		Optional[int]	  =      os.path.join(UpperCamelCase__,					f"""{label_name}.jpg"""      )

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

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


def       _lowercase							(					UpperCamelCase__							:       list,					UpperCamelCase__							:       list,					UpperCamelCase__							:       list[int],					UpperCamelCase__							:       tuple[int, int],					UpperCamelCase__							:       tuple[float, float],					UpperCamelCase__							:       float = 0.0,					):
 __A	:		str	  =      np.zeros([output_size[0], output_size[1], 3],					dtype=np.uinta      )
 __A	:		List[Any]	  =      scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
 __A	:		Optional[int]	  =      scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
 __A	:		List[str]	  =      int(scale_x * output_size[1]      )
 __A	:		str	  =      int(scale_y * output_size[0]      )

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


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










'''simple docstring'''
from math import factorial

UpperCAmelCase_			:  List[str]										=   {str(d): factorial(d) for d in range(1_0)}


def       _lowercase							(					UpperCamelCase__							:       int      ):
 return sum(DIGIT_FACTORIAL[d] for d in str(UpperCamelCase__      )      )


def       _lowercase							(					):
 __A	:		Union[str, Any]	  =      7 * factorial(9      ) + 1
 return sum(i for i in range(3,					UpperCamelCase__      ) if sum_of_digit_factorial(UpperCamelCase__      ) == i      )


if __name__ == "__main__":
 print(f'''{solution() = }''')






