



"""simple docstring"""





import os
import unittest

from huggingface_hub.utils import are_progress_bars_disabled

import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, enable_progress_bar
class 				lowercase__       (   unittest.TestCase				):







       '''simple docstring'''


       def 					lowercase__    (							self      :  List[str]   )			->						int:


             '''simple docstring'''




             UpperCAmelCase_      			=							logging.get_logger()

             # the current default level is logging.WARNING
             UpperCAmelCase_      			=							logging.get_verbosity()

             logging.set_verbosity_error()
             self.assertEqual(logger.getEffectiveLevel()		,    logging.get_verbosity()   )

             logging.set_verbosity_warning()
             self.assertEqual(logger.getEffectiveLevel()		,    logging.get_verbosity()   )

             logging.set_verbosity_info()
             self.assertEqual(logger.getEffectiveLevel()		,    logging.get_verbosity()   )

             logging.set_verbosity_debug()
             self.assertEqual(logger.getEffectiveLevel()		,    logging.get_verbosity()   )

             # restore to the original level
             logging.set_verbosity(_UpperCAmelCase   )



       def 					lowercase__    (							self      :  List[Any]   )			->						List[Any]:


             '''simple docstring'''




             UpperCAmelCase_      			=							logging.get_verbosity()

             UpperCAmelCase_      			=							logging.get_logger("transformers.models.bart.tokenization_bart"   )
             UpperCAmelCase_      			=							"Testing 1, 2, 3"

             # should be able to log warnings (if default settings weren't overridden by `pytest --log-level-all`)
             if level_origin <= logging.WARNING:
                   with CaptureLogger(_UpperCAmelCase   ) as cl:
                         logger.warning(_UpperCAmelCase   )
                   self.assertEqual(cl.out		,    msg + "\n"   )

             # this is setting the level for all of `transformers.*` loggers
             logging.set_verbosity_error()

             # should not be able to log warnings
             with CaptureLogger(_UpperCAmelCase   ) as cl:
                   logger.warning(_UpperCAmelCase   )
             self.assertEqual(cl.out		,    ""   )

             # should be able to log warnings again
             logging.set_verbosity_warning()
             with CaptureLogger(_UpperCAmelCase   ) as cl:
                   logger.warning(_UpperCAmelCase   )
             self.assertEqual(cl.out		,    msg + "\n"   )

             # restore to the original level
             logging.set_verbosity(_UpperCAmelCase   )



       @mockenv(TRANSFORMERS_VERBOSITY="error"   )
       def 					lowercase__    (							self      :  str   )			->						Union[str, Any]:


             '''simple docstring'''




             transformers.utils.logging._reset_library_root_logger()
             # this action activates the env var
             UpperCAmelCase_      			=							logging.get_logger("transformers.models.bart.tokenization_bart"   )

             UpperCAmelCase_      			=							os.getenv("TRANSFORMERS_VERBOSITY"		,    _UpperCAmelCase   )
             UpperCAmelCase_      			=							logging.log_levels[env_level_str]

             UpperCAmelCase_      			=							logging.get_verbosity()
             self.assertEqual(
                 _UpperCAmelCase		,    _UpperCAmelCase		,    F"""TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}"""		,    )

             # restore to the original level
             UpperCAmelCase_      			=							""
             transformers.utils.logging._reset_library_root_logger()



       @mockenv(TRANSFORMERS_VERBOSITY="super-error"   )
       def 					lowercase__    (							self      :  List[str]   )			->						int:


             '''simple docstring'''




             transformers.utils.logging._reset_library_root_logger()
             UpperCAmelCase_      			=							logging.logging.getLogger()
             with CaptureLogger(_UpperCAmelCase   ) as cl:
                   # this action activates the env var
                   logging.get_logger("transformers.models.bart.tokenization_bart"   )
             self.assertIn("Unknown option TRANSFORMERS_VERBOSITY=super-error"		,    cl.out   )

             # no need to restore as nothing was changed







       def 					lowercase__    (							self      :  List[Any]   )			->						List[str]:


             '''simple docstring'''




             transformers.utils.logging._reset_library_root_logger()

             UpperCAmelCase_      			=							logging.get_logger("transformers.models.bart.tokenization_bart"   )
             UpperCAmelCase_      			=							"Testing 1, 2, 3"

             with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS="1"   ):
                   # nothing should be logged as env var disables this method
                   with CaptureLogger(_UpperCAmelCase   ) as cl:
                         logger.warning_advice(_UpperCAmelCase   )
                   self.assertEqual(cl.out		,    ""   )

             with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=""   ):
                   # should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
                   with CaptureLogger(_UpperCAmelCase   ) as cl:
                         logger.warning_advice(_UpperCAmelCase   )
                   self.assertEqual(cl.out		,    msg + "\n"   )



def        a__     (				):
      disable_progress_bar()
      assert are_progress_bars_disabled()

      enable_progress_bar()
      assert not are_progress_bars_disabled()









"""simple docstring"""





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

import cva
lowerCamelCase       	=						""""""
lowerCamelCase       	=						""""""
lowerCamelCase       	=						""""""
lowerCamelCase       	=						1  # (0 is vertical, 1 is horizontal)
def        a__     (				):
      UpperCAmelCase_			,   UpperCAmelCase_      			=							get_dataset(lowerCAmelCase__     ,      lowerCAmelCase__				)
      print("Processing..."				)
      UpperCAmelCase_			,   UpperCAmelCase_			,   UpperCAmelCase_      			=							update_image_and_anno(lowerCAmelCase__     ,      lowerCAmelCase__     ,      lowerCAmelCase__				)

      for index, image in enumerate(lowerCAmelCase__				):
            # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
            UpperCAmelCase_      			=							random_chars(32				)
            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"""     ,      lowerCAmelCase__     ,      [cva.IMWRITE_JPEG_QUALITY, 85]				)
            print(f"""Success {index+1}/{len(lowerCAmelCase__				)} 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(lowerCAmelCase__				)
            with open(f"""/{file_root}.txt"""     ,      "w"				) as outfile:
                  outfile.write("\n".join(line for line in annos_list				)				)
def        a__     (				lowerCAmelCase__     ,      lowerCAmelCase__				):
      UpperCAmelCase_      			=							[]
      UpperCAmelCase_      			=							[]
      for label_file in glob.glob(os.path.join(lowerCAmelCase__     ,      "*.txt"				)				):
            UpperCAmelCase_      			=							label_file.split(os.sep				)[-1].rsplit("."     ,      1				)[0]
            with open(lowerCAmelCase__				) as in_file:
                  UpperCAmelCase_      			=							in_file.readlines()
            UpperCAmelCase_      			=							os.path.join(lowerCAmelCase__     ,      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(lowerCAmelCase__				)
            labels.append(lowerCAmelCase__				)
      return img_paths, labels
def        a__     (				lowerCAmelCase__     ,      lowerCAmelCase__     ,      lowerCAmelCase__ = 1				):
      UpperCAmelCase_      			=							[]
      UpperCAmelCase_      			=							[]
      UpperCAmelCase_      			=							[]
      for idx in range(len(lowerCAmelCase__				)				):
            UpperCAmelCase_      			=							[]
            UpperCAmelCase_      			=							img_list[idx]
            path_list.append(lowerCAmelCase__				)
            UpperCAmelCase_      			=							anno_list[idx]
            UpperCAmelCase_      			=							cva.imread(lowerCAmelCase__				)
            if flip_type == 1:
                  UpperCAmelCase_      			=							cva.flip(lowerCAmelCase__     ,      lowerCAmelCase__				)
                  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(lowerCAmelCase__     ,      lowerCAmelCase__				)
                  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(lowerCAmelCase__				)
            new_imgs_list.append(lowerCAmelCase__				)
      return new_imgs_list, new_annos_lists, path_list
def        a__     (				lowerCAmelCase__ = 32				):
      assert number_char > 1, "The number of character should greater than 1"
      UpperCAmelCase_      			=							ascii_lowercase + digits
      return "".join(random.choice(lowerCAmelCase__				) for _ in range(lowerCAmelCase__				)				)


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




