


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

import cva
UpperCamelCase__    							= ''
UpperCamelCase__    							= ''
UpperCamelCase__    							= ''
UpperCamelCase__    							= 1  # (0 is vertical, 1 is horizontal)




def        lowerCAmelCase_			(					)					->    None:







      '''simple docstring'''


      UpperCAmelCase__		,				UpperCAmelCase__								=  get_dataset(SCREAMING_SNAKE_CASE_,  SCREAMING_SNAKE_CASE_							)
      print("Processing..."							)
      UpperCAmelCase__		,				UpperCAmelCase__		,				UpperCAmelCase__								=  update_image_and_anno(SCREAMING_SNAKE_CASE_,  SCREAMING_SNAKE_CASE_,  SCREAMING_SNAKE_CASE_							)

      for index, image in enumerate(SCREAMING_SNAKE_CASE_							):
            # 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""",  SCREAMING_SNAKE_CASE_,  [cva.IMWRITE_JPEG_QUALITY, 85]							)
            print(f"""Success {index+1}/{len(SCREAMING_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(SCREAMING_SNAKE_CASE_							)
            with open(f"""/{file_root}.txt""",  "w"							) as outfile:
                  outfile.write("\n".join(line for line in annos_list							)							)




def        lowerCAmelCase_			(					__A,  __A							)					->    tuple[list, list]:







      '''simple docstring'''


      UpperCAmelCase__								=  []
      UpperCAmelCase__								=  []
      for label_file in glob.glob(os.path.join(SCREAMING_SNAKE_CASE_,  "*.txt"							)							):
            UpperCAmelCase__								=  label_file.split(os.sep							)[-1].rsplit(".",  1							)[0]
            with open(SCREAMING_SNAKE_CASE_							) as in_file:
                  UpperCAmelCase__								=  in_file.readlines()
            UpperCAmelCase__								=  os.path.join(SCREAMING_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(SCREAMING_SNAKE_CASE_							)
            labels.append(SCREAMING_SNAKE_CASE_							)
      return img_paths, labels




def        lowerCAmelCase_			(					__A,  __A,  __A = 1							)					->    tuple[list, list, list]:







      '''simple docstring'''


      UpperCAmelCase__								=  []
      UpperCAmelCase__								=  []
      UpperCAmelCase__								=  []
      for idx in range(len(SCREAMING_SNAKE_CASE_							)							):
            UpperCAmelCase__								=  []
            UpperCAmelCase__								=  img_list[idx]
            path_list.append(SCREAMING_SNAKE_CASE_							)
            UpperCAmelCase__								=  anno_list[idx]
            UpperCAmelCase__								=  cva.imread(SCREAMING_SNAKE_CASE_							)
            if flip_type == 1:
                  UpperCAmelCase__								=  cva.flip(SCREAMING_SNAKE_CASE_,  SCREAMING_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(SCREAMING_SNAKE_CASE_,  SCREAMING_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(SCREAMING_SNAKE_CASE_							)
            new_imgs_list.append(SCREAMING_SNAKE_CASE_							)
      return new_imgs_list, new_annos_lists, path_list




def        lowerCAmelCase_			(					__A = 32							)					->    str:







      '''simple docstring'''


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


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




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
      from .tokenization_pegasus import PegasusTokenizer
else:
      UpperCamelCase__    							= None


UpperCamelCase__    							= logging.get_logger(__name__)


UpperCamelCase__    							= '▁'

UpperCamelCase__    							= {'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

UpperCamelCase__    							= {
    'vocab_file': {'google/pegasus-xsum': 'https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model'},
    'tokenizer_file': {
        'google/pegasus-xsum': 'https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json'
    },
}

UpperCamelCase__    							= {
    'google/pegasus-xsum': 5_1_2,
}





class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			str              =      VOCAB_FILES_NAMES
   __UpperCAmelCase			:			Any              =      PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase			:			List[Any]              =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase			:			Union[str, Any]              =      PegasusTokenizer
   __UpperCAmelCase			:			Any              =      ['input_ids', 'attention_mask']


   def __init__(self					:						Optional[int]	,  __UpperCAmelCase					:						List[str]=None	,  __UpperCAmelCase					:						Any=None	,  __UpperCAmelCase					:						Union[str, Any]="<pad>"	,  __UpperCAmelCase					:						List[str]="</s>"	,  __UpperCAmelCase					:						Union[str, Any]="<unk>"	,  __UpperCAmelCase					:						int="<mask_2>"	,  __UpperCAmelCase					:						Optional[Any]="<mask_1>"	,  __UpperCAmelCase					:						Union[str, Any]=None	,  __UpperCAmelCase					:						str=1_0_3	,  **__UpperCAmelCase					:						str	,  )						->    Optional[Any]:
         """simple docstring"""



         UpperCAmelCase__								=  offset

         if additional_special_tokens is not None:
               if not isinstance(__UpperCAmelCase	,  __UpperCAmelCase		):
                     raise TypeError(
                         f"""additional_special_tokens should be of type {type(__UpperCAmelCase		)}, but is"""
                         f""" {type(__UpperCAmelCase		)}"""		)

               UpperCAmelCase__								=  (
                   ([mask_token_sent] + additional_special_tokens)
                   if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
                   else additional_special_tokens
               )
               # fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
               additional_special_tokens_extended += [
                   f"""<unk_{i}>""" for i in range(len(__UpperCAmelCase		)	,  self.offset - 1		)
               ]

               if len(set(__UpperCAmelCase		)		) != len(__UpperCAmelCase		):
                     raise ValueError(
                         "Please make sure that the provided additional_special_tokens do not contain an incorrectly"
                         f""" shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}."""		)
               UpperCAmelCase__								=  additional_special_tokens_extended
         else:
               UpperCAmelCase__								=  [mask_token_sent] if mask_token_sent is not None else []
               additional_special_tokens += [f"""<unk_{i}>""" for i in range(2	,  self.offset		)]

         super().__init__(
             __UpperCAmelCase	,  tokenizer_file=__UpperCAmelCase	,  pad_token=__UpperCAmelCase	,  eos_token=__UpperCAmelCase	,  unk_token=__UpperCAmelCase	,  mask_token=__UpperCAmelCase	,  mask_token_sent=__UpperCAmelCase	,  offset=__UpperCAmelCase	,  additional_special_tokens=__UpperCAmelCase	,  **__UpperCAmelCase	,  )
         UpperCAmelCase__								=  vocab_file
         UpperCAmelCase__								=  False if not self.vocab_file else True


   def       lowercase_				(self					:						List[Any]	,  __UpperCAmelCase					:						Tuple		)						->    int:
         """simple docstring"""



         UpperCAmelCase__								=  set(self.all_special_ids		)  # call it once instead of inside list comp
         all_special_ids.remove(self.unk_token_id		)  # <unk> is only sometimes special

         if all_special_ids != set(range(len(self.additional_special_tokens		) + 3		)		):
               raise ValueError(
                   "There should be 3 special tokens: mask_token, pad_token, and eos_token +"
                   f""" {len(self.additional_special_tokens		)} additional_special_tokens, but got {all_special_ids}"""		)

         return [1 if x in all_special_ids else 0 for x in seq]


   def       lowercase_				(self					:						Union[str, Any]	,  __UpperCAmelCase					:						List	,  __UpperCAmelCase					:						Optional[List] = None	,  __UpperCAmelCase					:						bool = False		)						->    List[int]:
         """simple docstring"""



         if already_has_special_tokens:
               return self._special_token_mask(__UpperCAmelCase		)
         elif token_ids_a is None:
               return self._special_token_mask(__UpperCAmelCase		) + [1]
         else:
               return self._special_token_mask(token_ids_a + token_ids_a		) + [1]


   def       lowercase_				(self					:						str	,  __UpperCAmelCase					:						List[str]	,  __UpperCAmelCase					:						Optional[Any]=None		)						->    List[int]:
         """simple docstring"""



         if token_ids_a is None:
               return token_ids_a + [self.eos_token_id]
         # We don't expect to process pairs, but leave the pair logic for API consistency
         return token_ids_a + token_ids_a + [self.eos_token_id]





   def       lowercase_				(self					:						List[str]	,  __UpperCAmelCase					:						str	,  __UpperCAmelCase					:						Optional[str] = None		)						->    Tuple[str]:
         """simple docstring"""



         if not self.can_save_slow_tokenizer:
               raise ValueError(
                   "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
                   "tokenizer."		)

         if not os.path.isdir(__UpperCAmelCase		):
               logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""		)
               return
         UpperCAmelCase__								=  os.path.join(
             __UpperCAmelCase	,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)

         if os.path.abspath(self.vocab_file		) != os.path.abspath(__UpperCAmelCase		):
               copyfile(self.vocab_file	,  __UpperCAmelCase		)

         return (out_vocab_file,)



