




'''simple docstring'''



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

import cva
import numpy as np

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







def       _UpperCamelCase			()-> None:




     '''simple docstring'''





     __snake_case       ,     __snake_case            =	get_dataset(_lowerCamelCase ,						_lowerCamelCase						)
     for index in range(_lowerCamelCase						):
          __snake_case            =	random.sample(range(len(_lowerCamelCase						)						) ,						4						)
          __snake_case       ,     __snake_case       ,     __snake_case            =	update_image_and_anno(
              _lowerCamelCase ,						_lowerCamelCase ,						_lowerCamelCase ,						_lowerCamelCase ,						_lowerCamelCase ,						filter_scale=_lowerCamelCase ,						)

          # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
          __snake_case            =	random_chars(32						)
          __snake_case            =	path.split(os.sep						)[-1].rsplit('''.''' ,						1						)[0]
          __snake_case            =	f'''{OUTPUT_DIR}/{file_name}_MOSAIC_{letter_code}'''
          cva.imwrite(f'''{file_root}.jpg''' ,						_lowerCamelCase ,						[cva.IMWRITE_JPEG_QUALITY, 85]						)
          print(f'''Succeeded {index+1}/{NUMBER_IMAGES} with {file_name}'''						)
          __snake_case            =	[]
          for anno in new_annos:
               __snake_case            =	anno[3] - anno[1]
               __snake_case            =	anno[4] - anno[2]
               __snake_case            =	anno[1] + width / 2
               __snake_case            =	anno[2] + height / 2
               __snake_case            =	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       _UpperCamelCase			(_lowerCamelCase				:  str ,						_lowerCamelCase				:  str						)-> tuple[list, list]:




     '''simple docstring'''





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

          __snake_case            =	[]
          for obj_list in obj_lists:
               __snake_case            =	obj_list.rstrip('''\n'''						).split(''' '''						)
               __snake_case            =	float(obj[1]						) - float(obj[3]						) / 2
               __snake_case            =	float(obj[2]						) - float(obj[4]						) / 2
               __snake_case            =	float(obj[1]						) + float(obj[3]						) / 2
               __snake_case            =	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       _UpperCamelCase			(_lowerCamelCase				:  list ,						_lowerCamelCase				:  list ,						_lowerCamelCase				:  list[int] ,						_lowerCamelCase				:  tuple[int, int] ,						_lowerCamelCase				:  tuple[float, float] ,						_lowerCamelCase				:  float = 0.0 ,						)-> tuple[list, list, str]:




     '''simple docstring'''





     __snake_case            =	np.zeros([output_size[0], output_size[1], 3] ,						dtype=np.uinta						)
     __snake_case            =	scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
     __snake_case            =	scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
     __snake_case            =	int(scale_x * output_size[1]						)
     __snake_case            =	int(scale_y * output_size[0]						)

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




     '''simple docstring'''





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


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













def 				_UpperCAmelCase			(    A     ):




   '''simple docstring'''

   for i in range(len(A     ) - 1				,							0				,							-1     ):
      UpperCAmelCase__						=False

      for j in range(A				,							0				,							-1     ):
         if unsorted[j] < unsorted[j - 1]:
            UpperCAmelCase__			,							UpperCAmelCase__						=unsorted[j - 1], unsorted[j]
            UpperCAmelCase__						=True

      for j in range(A     ):
         if unsorted[j] > unsorted[j + 1]:
            UpperCAmelCase__			,							UpperCAmelCase__						=unsorted[j + 1], unsorted[j]
            UpperCAmelCase__						=True

      if not swapped:
         break
   return unsorted


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    UpperCamelCase_												=	input('Enter numbers separated by a comma:\n').strip()
    UpperCamelCase_												=	[int(item) for item in user_input.split(',')]
    print(f"""{cocktail_shaker_sort(unsorted) = }""")



