






"""simple docstring"""



from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType

class        a     (   a_	):
    UpperCAmelCase_ :     Dict	     =["image_processor", "tokenizer"]
    UpperCAmelCase_ :     Dict	     ="BridgeTowerImageProcessor"
    UpperCAmelCase_ :     Optional[int]	     =("RobertaTokenizer", "RobertaTokenizerFast")







    def __init__(			self							,		_lowerCamelCase							,		_lowerCamelCase       ):
      super().__init__(__A							,		__A       )







    def __call__(			self							,		_lowerCamelCase							,		_lowerCamelCase = None							,		_lowerCamelCase = True							,		_lowerCamelCase = False							,		_lowerCamelCase = None							,		_lowerCamelCase = None							,		_lowerCamelCase = 0							,		_lowerCamelCase = None							,		_lowerCamelCase = None							,		_lowerCamelCase = None							,		_lowerCamelCase = False							,		_lowerCamelCase = False							,		_lowerCamelCase = False							,		_lowerCamelCase = False							,		_lowerCamelCase = True							,		_lowerCamelCase = None							,		**_lowerCamelCase							,		):
      lowercase							    =       self.tokenizer(
          text=__A							,		add_special_tokens=__A							,		padding=__A							,		truncation=__A							,		max_length=__A							,		stride=__A							,		pad_to_multiple_of=__A							,		return_token_type_ids=__A							,		return_attention_mask=__A							,		return_overflowing_tokens=__A							,		return_special_tokens_mask=__A							,		return_offsets_mapping=__A							,		return_length=__A							,		verbose=__A							,		return_tensors=__A							,		**__A							,		)
      # add pixel_values + pixel_mask
      lowercase							    =       self.image_processor(
          __A							,		return_tensors=__A							,		do_normalize=__A							,		do_center_crop=__A							,		**__A       )
      encoding.update(__A       )

      return encoding







    def 			UpperCamelCase_      (			self							,		*_lowerCamelCase							,		**_lowerCamelCase       ):
      return self.tokenizer.batch_decode(*__A							,		**__A       )







    def 			UpperCamelCase_      (			self							,		*_lowerCamelCase							,		**_lowerCamelCase       ):
      return self.tokenizer.decode(*__A							,		**__A       )







    @property
    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.tokenizer.model_input_names
      lowercase							    =       self.image_processor.model_input_names
      return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names       )       )






import argparse


_snake_case             =     '''docs/source/_static/js/custom.js'''






def 		lowercase_(  SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  with open(SCREAMING_SNAKE_CASE_      ,						encoding="utf-8"      ,						newline="\n"	) as f:
    lowerCamelCase :					List[str]    =				f.readlines()
  lowerCamelCase :					int    =				0

  # First let's put the right version
  while not lines[index].startswith("const stableVersion ="	):
    index += 1
  lowerCamelCase :					str    =				f"""const stableVersion = \"v{version}\"\n"""

  # Then update the dictionary
  while not lines[index].startswith("const versionMapping = {"	):
    index += 1

  # We go until the end
  while not lines[index].startswith("}"	):
    index += 1
  # We add the new version at the end
  lines[index - 1] += f"""    \"v{version}\": \"v{version}\",\n"""

  with open(SCREAMING_SNAKE_CASE_      ,						"w"      ,						encoding="utf-8"      ,						newline="\n"	) as f:
    f.writelines(SCREAMING_SNAKE_CASE_	)


if __name__ == "__main__":
   _snake_case             =     argparse.ArgumentParser()
   parser.add_argument('''--version''', help='''Release version.''')
   _snake_case             =     parser.parse_args()
   update_custom_js(args.version)



