

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     (					SCREAMING_SNAKE_CASE							):
  _a									=  ["""image_processor""", """tokenizer"""]
  _a									=  """BridgeTowerImageProcessor"""
  _a									=  ("""RobertaTokenizer""", """RobertaTokenizerFast""")




  def __init__(				self							,   lowerCAmelCase							,   lowerCAmelCase					)  -> Optional[Any]:
        '''simple docstring'''






        super().__init__(lowerCAmelCase							,   lowerCAmelCase					)




  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							,   )  -> BatchEncoding:
        '''simple docstring'''






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

        return encoding




  def   A__     (				self							,   *lowerCAmelCase							,   **lowerCAmelCase					)  -> Optional[Any]:
        '''simple docstring'''






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




  def   A__     (				self							,   *lowerCAmelCase							,   **lowerCAmelCase					)  -> List[str]:
        '''simple docstring'''






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




  @property
  def   A__     (				self					)  -> Optional[int]:
        '''simple docstring'''






        _lowercase	       =self.tokenizer.model_input_names
        _lowercase	       =self.image_processor.model_input_names
        return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names					)					)





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowercase_									=   {
    'configuration_pix2struct': [
        'PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Pix2StructConfig',
        'Pix2StructTextConfig',
        'Pix2StructVisionConfig',
    ],
    'processing_pix2struct': ['Pix2StructProcessor'],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_									=   ['Pix2StructImageProcessor']


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_									=   [
      'PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST',
      'Pix2StructPreTrainedModel',
      'Pix2StructForConditionalGeneration',
      'Pix2StructVisionModel',
      'Pix2StructTextModel',
  ]

if TYPE_CHECKING:
  from .configuration_pixastruct import (
      PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
      PixaStructConfig,
      PixaStructTextConfig,
      PixaStructVisionConfig,
  )
  from .processing_pixastruct import PixaStructProcessor

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_pixastruct import PixaStructImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_pixastruct import (
        PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
        PixaStructForConditionalGeneration,
        PixaStructPreTrainedModel,
        PixaStructTextModel,
        PixaStructVisionModel,
    )

else:
  import sys

  lowercase_									=   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


