




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

import cva
_lowerCAmelCase  :      Tuple						=      ''
_lowerCAmelCase  :      Optional[Any]						=      ''
_lowerCAmelCase  :      Any						=      ''
_lowerCAmelCase  :      Optional[int]						=      1  # (0 is vertical, 1 is horizontal)



def   lowerCAmelCase						(						):




 """simple docstring"""







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

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



def   lowerCAmelCase						(						_lowerCAmelCase							:      str  ,							_lowerCAmelCase							:      str		):




 """simple docstring"""







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



def   lowerCAmelCase						(						_lowerCAmelCase							:      list  ,							_lowerCAmelCase							:      list  ,							_lowerCAmelCase							:      int = 1		):




 """simple docstring"""







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



def   lowerCAmelCase						(						_lowerCAmelCase							:      int = 32		):




 """simple docstring"""







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


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











import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


lowerCamelCase__ :   Union[str, Any]					=							logging.get_logger(__name__)

lowerCamelCase__ :   Dict					=							{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase__ :   Tuple					=							{
    'vocab_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt'
        ),
        'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt',
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli': (
            'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json'
        ),
    },
}

lowerCamelCase__ :   int					=							{
    'squeezebert/squeezebert-uncased': 512,
    'squeezebert/squeezebert-mnli': 512,
    'squeezebert/squeezebert-mnli-headless': 512,
}


lowerCamelCase__ :   str					=							{
    'squeezebert/squeezebert-uncased': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli-headless': {'do_lower_case': True},
}





class        lowerCamelCase_							(      _SCREAMING_SNAKE_CASE					):


 '''simple docstring'''







 lowercase_				    =    VOCAB_FILES_NAMES
 lowercase_				    =    PRETRAINED_VOCAB_FILES_MAP
 lowercase_				    =    PRETRAINED_INIT_CONFIGURATION
 lowercase_				    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_				    =    SqueezeBertTokenizer



 def __init__(							self  :		Tuple				,				_lowerCAmelCase  :		Dict=None				,				_lowerCAmelCase  :		int=None				,				_lowerCAmelCase  :		List[str]=True				,				_lowerCAmelCase  :		str="[UNK]"				,				_lowerCAmelCase  :		Union[str, Any]="[SEP]"				,				_lowerCAmelCase  :		List[Any]="[PAD]"				,				_lowerCAmelCase  :		str="[CLS]"				,				_lowerCAmelCase  :		Dict="[MASK]"				,				_lowerCAmelCase  :		Optional[int]=True				,				_lowerCAmelCase  :		Dict=None				,				**_lowerCAmelCase  :		str				,				):
       super().__init__(
           _lowerCAmelCase				,				tokenizer_file=_lowerCAmelCase				,				do_lower_case=_lowerCAmelCase				,				unk_token=_lowerCAmelCase				,				sep_token=_lowerCAmelCase				,				pad_token=_lowerCAmelCase				,				cls_token=_lowerCAmelCase				,				mask_token=_lowerCAmelCase				,				tokenize_chinese_chars=_lowerCAmelCase				,				strip_accents=_lowerCAmelCase				,				**_lowerCAmelCase				,				)

       SCREAMING_SNAKE_CASE_							=			json.loads(self.backend_tokenizer.normalizer.__getstate__()						)
       if (
           normalizer_state.get('lowercase'				,				_lowerCAmelCase						) != do_lower_case
           or normalizer_state.get('strip_accents'				,				_lowerCAmelCase						) != strip_accents
           or normalizer_state.get('handle_chinese_chars'				,				_lowerCAmelCase						) != tokenize_chinese_chars
       ):
             SCREAMING_SNAKE_CASE_							=			getattr(_lowerCAmelCase				,				normalizer_state.pop('type'						)						)
             SCREAMING_SNAKE_CASE_							=			do_lower_case
             SCREAMING_SNAKE_CASE_							=			strip_accents
             SCREAMING_SNAKE_CASE_							=			tokenize_chinese_chars
             SCREAMING_SNAKE_CASE_							=			normalizer_class(**_lowerCAmelCase						)

       SCREAMING_SNAKE_CASE_							=			do_lower_case



 def       lowerCAmelCase_  (							self  :		Tuple				,				_lowerCAmelCase  :		str				,				_lowerCAmelCase  :		Optional[int]=None						):
       SCREAMING_SNAKE_CASE_							=			[self.cls_token_id] + token_ids_a + [self.sep_token_id]

       if token_ids_a:
             output += token_ids_a + [self.sep_token_id]

       return output



 def       lowerCAmelCase_  (							self  :		Optional[int]				,				_lowerCAmelCase  :		List[int]				,				_lowerCAmelCase  :		Optional[List[int]] = None						):
       SCREAMING_SNAKE_CASE_							=			[self.sep_token_id]
       SCREAMING_SNAKE_CASE_							=			[self.cls_token_id]
       if token_ids_a is None:
             return len(cls + token_ids_a + sep						) * [0]
       return len(cls + token_ids_a + sep						) * [0] + len(token_ids_a + sep						) * [1]




 def       lowerCAmelCase_  (							self  :		Tuple				,				_lowerCAmelCase  :		str				,				_lowerCAmelCase  :		Optional[str] = None						):
       SCREAMING_SNAKE_CASE_							=			self._tokenizer.model.save(_lowerCAmelCase				,				name=_lowerCAmelCase						)
       return tuple(_lowerCAmelCase						)