





"""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    _lowerCAmelCase  (	a			):
       """simple docstring"""




       __magic_name__	:str						    =   ["""image_processor""", """tokenizer"""]
       __magic_name__	:List[str]						    =   """BridgeTowerImageProcessor"""
       __magic_name__	:Dict						    =   ("""RobertaTokenizer""", """RobertaTokenizerFast""")






       def __init__(       self       ,					__UpperCAmelCase       ,					__UpperCAmelCase ):



         '''simple docstring'''

         super().__init__(__UpperCAmelCase       ,					__UpperCAmelCase )






       def __call__(       self       ,					__UpperCAmelCase       ,					__UpperCAmelCase = None       ,					__UpperCAmelCase = True       ,					__UpperCAmelCase = False       ,					__UpperCAmelCase = None       ,					__UpperCAmelCase = None       ,					__UpperCAmelCase = 0       ,					__UpperCAmelCase = None       ,					__UpperCAmelCase = None       ,					__UpperCAmelCase = None       ,					__UpperCAmelCase = False       ,					__UpperCAmelCase = False       ,					__UpperCAmelCase = False       ,					__UpperCAmelCase = False       ,					__UpperCAmelCase = True       ,					__UpperCAmelCase = None       ,					**__UpperCAmelCase       ,					):



         '''simple docstring'''

         lowerCAmelCase__     :Any											=				self.tokenizer(
             text=__UpperCAmelCase       ,					add_special_tokens=__UpperCAmelCase       ,					padding=__UpperCAmelCase       ,					truncation=__UpperCAmelCase       ,					max_length=__UpperCAmelCase       ,					stride=__UpperCAmelCase       ,					pad_to_multiple_of=__UpperCAmelCase       ,					return_token_type_ids=__UpperCAmelCase       ,					return_attention_mask=__UpperCAmelCase       ,					return_overflowing_tokens=__UpperCAmelCase       ,					return_special_tokens_mask=__UpperCAmelCase       ,					return_offsets_mapping=__UpperCAmelCase       ,					return_length=__UpperCAmelCase       ,					verbose=__UpperCAmelCase       ,					return_tensors=__UpperCAmelCase       ,					**__UpperCAmelCase       ,					)
         # add pixel_values + pixel_mask
         lowerCAmelCase__     :str											=				self.image_processor(
             __UpperCAmelCase       ,					return_tensors=__UpperCAmelCase       ,					do_normalize=__UpperCAmelCase       ,					do_center_crop=__UpperCAmelCase       ,					**__UpperCAmelCase )
         encoding.update(__UpperCAmelCase )

         return encoding






       def 	snake_case		(       self       ,					*__UpperCAmelCase       ,					**__UpperCAmelCase ):



         '''simple docstring'''

         return self.tokenizer.batch_decode(*__UpperCAmelCase       ,					**__UpperCAmelCase )






       def 	snake_case		(       self       ,					*__UpperCAmelCase       ,					**__UpperCAmelCase ):



         '''simple docstring'''

         return self.tokenizer.decode(*__UpperCAmelCase       ,					**__UpperCAmelCase )






       @property
       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :Any											=				self.tokenizer.model_input_names
         lowerCAmelCase__     :Optional[int]											=				self.image_processor.model_input_names
         return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names ) )







"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


__A											=						{}


try:
  if not is_sentencepiece_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A											=						["""MLukeTokenizer"""]

if TYPE_CHECKING:
  try:
    if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .tokenization_mluke import MLukeTokenizer


else:
  import sys

  __A											=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
