






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

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





def  _lowerCamelCase						(						) ->			None:

     '''simple docstring'''
     UpperCAmelCase__      ,		UpperCAmelCase__      :  Optional[Any]				      =			get_dataset(__lowerCamelCase ,							__lowerCamelCase       )
     print("""Processing..."""       )
     UpperCAmelCase__      ,		UpperCAmelCase__      ,		UpperCAmelCase__      :  Optional[Any]				      =			update_image_and_anno(__lowerCamelCase ,							__lowerCamelCase ,							__lowerCamelCase       )

     for index, image in enumerate(__lowerCamelCase       ):
          # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
          UpperCAmelCase__      :  Tuple				      =			random_chars(32       )
          UpperCAmelCase__      :  List[str]				      =			paths[index].split(os.sep       )[-1].rsplit(""".""" ,							1       )[0]
          UpperCAmelCase__      :  Optional[Any]				      =			F"{OUTPUT_DIR}/{file_name}_FLIP_{letter_code}"
          cva.imwrite(F"/{file_root}.jpg" ,							__lowerCamelCase ,							[cva.IMWRITE_JPEG_QUALITY, 85]       )
          print(F"Success {index+1}/{len(__lowerCamelCase       )} with {file_name}"       )
          UpperCAmelCase__      :  str				      =			[]
          for anno in new_annos[index]:
               UpperCAmelCase__      :  List[str]				      =			F"{anno[0]} {anno[1]} {anno[2]} {anno[3]} {anno[4]}"
               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 ,							__lowerCamelCase       ) ->			tuple[list, list]:

     '''simple docstring'''
     UpperCAmelCase__      :  Optional[int]				      =			[]
     UpperCAmelCase__      :  Dict				      =			[]
     for label_file in glob.glob(os.path.join(__lowerCamelCase ,							"""*.txt"""       )       ):
          UpperCAmelCase__      :  str				      =			label_file.split(os.sep       )[-1].rsplit(""".""" ,							1       )[0]
          with open(__lowerCamelCase       ) as in_file:
               UpperCAmelCase__      :  Tuple				      =			in_file.readlines()
          UpperCAmelCase__      :  Optional[Any]				      =			os.path.join(__lowerCamelCase ,							F"{label_name}.jpg"       )

          UpperCAmelCase__      :  List[str]				      =			[]
          for obj_list in obj_lists:
               UpperCAmelCase__      :  Optional[int]				      =			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(__lowerCamelCase       )
          labels.append(__lowerCamelCase       )
     return img_paths, labels





def  _lowerCamelCase						(						__lowerCamelCase ,							__lowerCamelCase ,							__lowerCamelCase = 1       ) ->			tuple[list, list, list]:

     '''simple docstring'''
     UpperCAmelCase__      :  List[Any]				      =			[]
     UpperCAmelCase__      :  List[Any]				      =			[]
     UpperCAmelCase__      :  Tuple				      =			[]
     for idx in range(len(__lowerCamelCase       )       ):
          UpperCAmelCase__      :  str				      =			[]
          UpperCAmelCase__      :  str				      =			img_list[idx]
          path_list.append(__lowerCamelCase       )
          UpperCAmelCase__      :  Optional[Any]				      =			anno_list[idx]
          UpperCAmelCase__      :  Any				      =			cva.imread(__lowerCamelCase       )
          if flip_type == 1:
               UpperCAmelCase__      :  str				      =			cva.flip(__lowerCamelCase ,							__lowerCamelCase       )
               for bbox in img_annos:
                    UpperCAmelCase__      :  Tuple				      =			1 - bbox[1]
                    new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]       )
          elif flip_type == 0:
               UpperCAmelCase__      :  int				      =			cva.flip(__lowerCamelCase ,							__lowerCamelCase       )
               for bbox in img_annos:
                    UpperCAmelCase__      :  Any				      =			1 - bbox[2]
                    new_annos.append([bbox[0], bbox[1], y_center_new, bbox[3], bbox[4]]       )
          new_annos_lists.append(__lowerCamelCase       )
          new_imgs_list.append(__lowerCamelCase       )
     return new_imgs_list, new_annos_lists, path_list





def  _lowerCamelCase						(						__lowerCamelCase = 32       ) ->			str:

     '''simple docstring'''
     assert number_char > 1, "The number of character should greater than 1"
     UpperCAmelCase__      :  int				      =			ascii_lowercase + digits
     return "".join(random.choice(__lowerCamelCase       ) for _ in range(__lowerCamelCase       )       )


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










def SCREAMING_SNAKE_CASE	(			__lowerCAmelCase = 100				)    ->				int:
  snake_case__						= set()

  snake_case__						= 0

  snake_case__						= n + 1  # maximum limit

  for a in range(2							,   __lowerCAmelCase				):
    for b in range(2							,   __lowerCAmelCase				):
      snake_case__						= a**b  # calculates the current power
      collect_powers.add(__lowerCAmelCase				)  # adds the result to the set
  return len(__lowerCAmelCase				)


if __name__ == "__main__":
   print("""Number of terms """, solution(int(str(input()).strip())))

