



"""simple docstring"""





import logging
import os
import sys
from pathlib import Path
from unittest.mock import patch

from parameterized import parameterized
from run_eval import run_generate
from run_eval_search import run_search

from transformers.testing_utils import CaptureStdout, TestCasePlus, slow
from utils import ROUGE_KEYS


logging.basicConfig(level=logging.DEBUG)
lowerCamelCase       	=       logging.getLogger()
def        a__     (				lowerCAmelCase__     ,      lowerCAmelCase__				):
      UpperCAmelCase_      			=							'\n'.join(_A				)
      Path(_A				).open("w"				).writelines(_A				)


lowerCamelCase       	=       """patrickvonplaten/t5-tiny-random"""
lowerCamelCase       	=       """sshleifer/bart-tiny-random"""
lowerCamelCase       	=       """sshleifer/tiny-mbart"""

lowerCamelCase       	=       logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
logging.disable(logging.CRITICAL)  # remove noisy download output from tracebacks


class 				lowercase__       (   SCREAMING_SNAKE_CASE_				):







       '''simple docstring'''


       def 					lowercase__    (							self      :  int		,    _UpperCAmelCase      :  str   )			->						Any:


             '''simple docstring'''




             UpperCAmelCase_      			=							Path(self.get_auto_remove_tmp_dir()   ) / 'utest_input.source'
             UpperCAmelCase_      			=							input_file_name.parent / 'utest_output.txt'
             assert not output_file_name.exists()
             UpperCAmelCase_      			=							[' New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County.']
             _dump_articles(snake_case__		,    snake_case__   )

             UpperCAmelCase_      			=							str(Path(self.get_auto_remove_tmp_dir()   ) / "scores.json"   )
             UpperCAmelCase_      			=							'translation_en_to_de' if model == T5_TINY else 'summarization'
             UpperCAmelCase_      			=							F"""\n            run_eval_search.py\n            {model}\n            {input_file_name}\n            {output_file_name}\n            --score_path {score_path}\n            --task {task}\n            --num_beams 2\n            --length_penalty 2.0\n            """.split()

             with patch.object(snake_case__		,    "argv"		,    snake_case__   ):
                   run_generate()
                   assert Path(snake_case__   ).exists()
                   # os.remove(Path(output_file_name))



       def 					lowercase__    (							self      :  Tuple   )			->						Any:


             '''simple docstring'''




             self.run_eval_tester(snake_case__   )



       @parameterized.expand([BART_TINY, MBART_TINY]   )
       @slow
       def 					lowercase__    (							self      :  Optional[int]		,    _UpperCAmelCase      :  Tuple   )			->						int:


             '''simple docstring'''




             self.run_eval_tester(snake_case__   )







       @parameterized.expand([T5_TINY, MBART_TINY]   )
       @slow
       def 					lowercase__    (							self      :  str		,    _UpperCAmelCase      :  Dict   )			->						Union[str, Any]:


             '''simple docstring'''




             UpperCAmelCase_      			=							Path(self.get_auto_remove_tmp_dir()   ) / 'utest_input.source'
             UpperCAmelCase_      			=							input_file_name.parent / 'utest_output.txt'
             assert not output_file_name.exists()

             UpperCAmelCase_      			=							{
                 'en': ['Machine learning is great, isn\'t it?', 'I like to eat bananas', 'Tomorrow is another great day!'],
                 'de': [
                     'Maschinelles Lernen ist großartig, oder?',
                     'Ich esse gerne Bananen',
                     'Morgen ist wieder ein toller Tag!',
                 ],
             }

             UpperCAmelCase_      			=							Path(self.get_auto_remove_tmp_dir()   )
             UpperCAmelCase_      			=							str(tmp_dir / "scores.json"   )
             UpperCAmelCase_      			=							str(tmp_dir / "val.target"   )
             _dump_articles(snake_case__		,    text["en"]   )
             _dump_articles(snake_case__		,    text["de"]   )
             UpperCAmelCase_      			=							'translation_en_to_de' if model == T5_TINY else 'summarization'
             UpperCAmelCase_      			=							F"""\n            run_eval_search.py\n            {model}\n            {str(snake_case__   )}\n            {str(snake_case__   )}\n            --score_path {score_path}\n            --reference_path {reference_path}\n            --task {task}\n            """.split()
             testargs.extend(["--search", "num_beams=1:2 length_penalty=0.9:1.0"]   )

             with patch.object(snake_case__		,    "argv"		,    snake_case__   ):
                   with CaptureStdout() as cs:
                         run_search()
                   UpperCAmelCase_      			=							[' num_beams | length_penalty', model, 'Best score args']
                   UpperCAmelCase_      			=							['Info']
                   if "translation" in task:
                         expected_strings.append("bleu"   )
                   else:
                         expected_strings.extend(snake_case__   )
                   for w in expected_strings:
                         assert w in cs.out
                   for w in un_expected_strings:
                         assert w not in cs.out
                   assert Path(snake_case__   ).exists()
                   os.remove(Path(snake_case__   )   )









"""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 ✅""")




