

"""simple docstring"""


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

import cva
a					:Optional[int]    = ""
a					:Dict    = ""
a					:Optional[int]    = ""
a					:Tuple    = 1  # (0 is vertical, 1 is horizontal)




def  _lowercase					(    )       ->				None:
      SCREAMING_SNAKE_CASE__		,		SCREAMING_SNAKE_CASE__   :      int      		=	get_dataset(__lowerCAmelCase  ,					__lowerCAmelCase							)
      print("""Processing..."""							)
      SCREAMING_SNAKE_CASE__		,		SCREAMING_SNAKE_CASE__		,		SCREAMING_SNAKE_CASE__   :      Any      		=	update_image_and_anno(__lowerCAmelCase  ,					__lowerCAmelCase  ,					__lowerCAmelCase							)

      for index, image in enumerate(__lowerCAmelCase							):
            # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
            SCREAMING_SNAKE_CASE__   :      Tuple      		=	random_chars(32							)
            SCREAMING_SNAKE_CASE__   :      int      		=	paths[index].split(os.sep							)[-1].rsplit("""."""  ,					1							)[0]
            SCREAMING_SNAKE_CASE__   :      int      		=	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}'''							)
            SCREAMING_SNAKE_CASE__   :      Optional[int]      		=	[]
            for anno in new_annos[index]:
                  SCREAMING_SNAKE_CASE__   :      List[Any]      		=	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  _lowercase					(    __lowerCAmelCase  ,					__lowerCAmelCase							)       ->				tuple[list, list]:
      SCREAMING_SNAKE_CASE__   :      Optional[int]      		=	[]
      SCREAMING_SNAKE_CASE__   :      int      		=	[]
      for label_file in glob.glob(os.path.join(__lowerCAmelCase  ,					"""*.txt"""							)							):
            SCREAMING_SNAKE_CASE__   :      Any      		=	label_file.split(os.sep							)[-1].rsplit("""."""  ,					1							)[0]
            with open(__lowerCAmelCase							) as in_file:
                  SCREAMING_SNAKE_CASE__   :      Tuple      		=	in_file.readlines()
            SCREAMING_SNAKE_CASE__   :      str      		=	os.path.join(__lowerCAmelCase  ,					F'''{label_name}.jpg'''							)

            SCREAMING_SNAKE_CASE__   :      Union[str, Any]      		=	[]
            for obj_list in obj_lists:
                  SCREAMING_SNAKE_CASE__   :      Any      		=	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  _lowercase					(    __lowerCAmelCase  ,					__lowerCAmelCase  ,					__lowerCAmelCase = 1							)       ->				tuple[list, list, list]:
      SCREAMING_SNAKE_CASE__   :      List[Any]      		=	[]
      SCREAMING_SNAKE_CASE__   :      Union[str, Any]      		=	[]
      SCREAMING_SNAKE_CASE__   :      Tuple      		=	[]
      for idx in range(len(__lowerCAmelCase							)							):
            SCREAMING_SNAKE_CASE__   :      str      		=	[]
            SCREAMING_SNAKE_CASE__   :      int      		=	img_list[idx]
            path_list.append(__lowerCAmelCase							)
            SCREAMING_SNAKE_CASE__   :      Any      		=	anno_list[idx]
            SCREAMING_SNAKE_CASE__   :      Optional[int]      		=	cva.imread(__lowerCAmelCase							)
            if flip_type == 1:
                  SCREAMING_SNAKE_CASE__   :      Optional[int]      		=	cva.flip(__lowerCAmelCase  ,					__lowerCAmelCase							)
                  for bbox in img_annos:
                        SCREAMING_SNAKE_CASE__   :      Union[str, Any]      		=	1 - bbox[1]
                        new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]							)
            elif flip_type == 0:
                  SCREAMING_SNAKE_CASE__   :      Union[str, Any]      		=	cva.flip(__lowerCAmelCase  ,					__lowerCAmelCase							)
                  for bbox in img_annos:
                        SCREAMING_SNAKE_CASE__   :      Union[str, 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  _lowercase					(    __lowerCAmelCase = 32							)       ->				str:
      assert number_char > 1, "The number of character should greater than 1"
      SCREAMING_SNAKE_CASE__   :      List[str]      		=	ascii_lowercase + digits
      return "".join(random.choice(__lowerCAmelCase							) for _ in range(__lowerCAmelCase							)							)


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







"""simple docstring"""


import re
from pathlib import Path
from unittest import TestCase

import pytest

@pytest.mark.integration
class      __a							(UpperCamelCase_):






     '''simple docstring'''

     def 					_a			(						self	,    _a  )  ->      Union[str, Any]:


           """simple docstring"""


           with open(_a	,    encoding="""utf-8"""  ) as input_file:
                 SCREAMING_SNAKE_CASE__   :      str      		=	re.compile(r"""(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"""  )
                 SCREAMING_SNAKE_CASE__   :      Optional[Any]      		=	input_file.read()
                 SCREAMING_SNAKE_CASE__   :      str      		=	regexp.search(_a  )

           return match

     def 					_a			(						self	,    _a  )  ->      Optional[Any]:


           """simple docstring"""


           with open(_a	,    encoding="""utf-8"""  ) as input_file:
                 SCREAMING_SNAKE_CASE__   :      Tuple      		=	re.compile(r"""#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()"""	,    re.DOTALL  )
                 SCREAMING_SNAKE_CASE__   :      List[Any]      		=	input_file.read()
                 # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
                 SCREAMING_SNAKE_CASE__   :      Dict      		=	regexp.finditer(_a  )

           SCREAMING_SNAKE_CASE__   :      int      		=	[match for match in matches if match is not None and match.group(1  ) is not None]
           return matches[0] if matches else None

     def 					_a			(						self  )  ->      str:


           """simple docstring"""


           SCREAMING_SNAKE_CASE__   :      Optional[int]      		=	Path("""./datasets"""  )
           SCREAMING_SNAKE_CASE__   :      Union[str, Any]      		=	list(dataset_paths.absolute().glob("""**/*.py"""  )  )

           for dataset in dataset_files:
                 if self._no_encoding_on_file_open(str(_a  )  ):
                       raise AssertionError(f'''open(...) must use utf-8 encoding in {dataset}'''  )





     def 					_a			(						self  )  ->      Dict:


           """simple docstring"""


           SCREAMING_SNAKE_CASE__   :      Union[str, Any]      		=	Path("""./datasets"""  )
           SCREAMING_SNAKE_CASE__   :      List[str]      		=	list(dataset_paths.absolute().glob("""**/*.py"""  )  )

           for dataset in dataset_files:
                 if self._no_print_statements(str(_a  )  ):
                       raise AssertionError(f'''print statement found in {dataset}. Use datasets.logger/logging instead.'''  )




