
"""simple docstring"""

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

import cva
UpperCamelCase     :    Optional[Any]       =			""
UpperCamelCase     :    int       =			""
UpperCamelCase     :    Optional[Any]       =			""
UpperCamelCase     :    Any       =			1  # (0 is vertical, 1 is horizontal)






def 							A						(    )				->     None:
 __UpperCamelCase  ,     __UpperCamelCase      =	get_dataset(snake_case    , snake_case		)
 print('Processing...'		)
 __UpperCamelCase  ,     __UpperCamelCase  ,     __UpperCamelCase      =	update_image_and_anno(snake_case    , snake_case    , snake_case		)

 for index, image in enumerate(snake_case		):
  # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
  __UpperCamelCase      =	random_chars(3_2		)
  __UpperCamelCase      =	paths[index].split(os.sep		)[-1].rsplit('.'    , 1		)[0]
  __UpperCamelCase      =	f'{OUTPUT_DIR}/{file_name}_FLIP_{letter_code}'
  cva.imwrite(f'/{file_root}.jpg'    , snake_case    , [cva.IMWRITE_JPEG_QUALITY, 8_5]		)
  print(f'Success {index+1}/{len(snake_case		)} with {file_name}'		)
  __UpperCamelCase      =	[]
  for anno in new_annos[index]:
   __UpperCamelCase      =	f'{anno[0]} {anno[1]} {anno[2]} {anno[3]} {anno[4]}'
   annos_list.append(snake_case		)
  with open(f'/{file_root}.txt'    , 'w'		) as outfile:
   outfile.write('\n'.join(line for line in annos_list		)		)






def 							A						(    snake_case				:str    , snake_case				:str		)				->     tuple[list, list]:
 __UpperCamelCase      =	[]
 __UpperCamelCase      =	[]
 for label_file in glob.glob(os.path.join(snake_case    , '*.txt'		)		):
  __UpperCamelCase      =	label_file.split(os.sep		)[-1].rsplit('.'    , 1		)[0]
  with open(snake_case		) as in_file:
   __UpperCamelCase      =	in_file.readlines()
  __UpperCamelCase      =	os.path.join(snake_case    , f'{label_name}.jpg'		)

  __UpperCamelCase      =	[]
  for obj_list in obj_lists:
   __UpperCamelCase      =	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(snake_case		)
  labels.append(snake_case		)
 return img_paths, labels






def 							A						(    snake_case				:list    , snake_case				:list    , snake_case				:int = 1		)				->     tuple[list, list, list]:
 __UpperCamelCase      =	[]
 __UpperCamelCase      =	[]
 __UpperCamelCase      =	[]
 for idx in range(len(snake_case		)		):
  __UpperCamelCase      =	[]
  __UpperCamelCase      =	img_list[idx]
  path_list.append(snake_case		)
  __UpperCamelCase      =	anno_list[idx]
  __UpperCamelCase      =	cva.imread(snake_case		)
  if flip_type == 1:
   __UpperCamelCase      =	cva.flip(snake_case    , snake_case		)
   for bbox in img_annos:
    __UpperCamelCase      =	1 - bbox[1]
    new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]		)
  elif flip_type == 0:
   __UpperCamelCase      =	cva.flip(snake_case    , snake_case		)
   for bbox in img_annos:
    __UpperCamelCase      =	1 - bbox[2]
    new_annos.append([bbox[0], bbox[1], y_center_new, bbox[3], bbox[4]]		)
  new_annos_lists.append(snake_case		)
  new_imgs_list.append(snake_case		)
 return new_imgs_list, new_annos_lists, path_list






def 							A						(    snake_case				:int = 3_2		)				->     str:
 assert number_char > 1, "The number of character should greater than 1"
 __UpperCamelCase      =	ascii_lowercase + digits
 return "".join(random.choice(snake_case		) for _ in range(snake_case		)		)


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





"""simple docstring"""

from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters






def 							A						(    )				->     Any:
 __UpperCamelCase      =	{
     'repo_name': ['test_repo1', 'test_repo2', 'test_repo3'],
     'path': ['test_1.py', 'test_2.py', 'unit_test.py'],
     'content': ['a ' * 2_0, 'a ' * 3_0, 'b ' * 7],
 }
 __UpperCamelCase      =	Dataset.from_dict(snake_case		)
 return dataset





class __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ):





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      __UpperCamelCase      =	get_dataset()
      __UpperCamelCase      =	make_duplicate_clusters(__UpperCAmelCase     ,					0.8_5				)
      self.assertEqual(len(duplicate_clusters[0]				)     ,					2				)







     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      __UpperCamelCase      =	get_dataset()
      __UpperCamelCase  ,     __UpperCamelCase      =	deduplicate_dataset(__UpperCAmelCase				)
      self.assertEqual(len(__UpperCAmelCase				)     ,					2				)
      print(__UpperCAmelCase				)
      self.assertEqual(duplicate_clusters[0][0]['copies']     ,					2				)
      self.assertEqual(duplicate_clusters[0][0]['is_extreme']     ,					__UpperCAmelCase				)



