




'''simple docstring'''






import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding






class        __snake_case	(       snake_case_):







    """simple docstring"""



    lowercase       			= ['image_processor', 'tokenizer']
    lowercase       			= 'CLIPImageProcessor'
    lowercase       			= ('XLMRobertaTokenizer', 'XLMRobertaTokenizerFast')

    def __init__(       self   :  str   ,						lowerCamelCase   :  List[str]=None   ,						lowerCamelCase   :  Dict=None   ,						**lowerCamelCase   :  Union[str, Any]		)       ->  Dict:
      lowerCAmelCase_      :				Dict      =       None
      if "feature_extractor" in kwargs:
        warnings.warn(
            """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
            """ instead."""   ,						lowerCamelCase   ,						)
        lowerCAmelCase_      :				Optional[int]      =       kwargs.pop("""feature_extractor"""		)

      lowerCAmelCase_      :				str      =       image_processor if image_processor is not None else feature_extractor
      if image_processor is None:
        raise ValueError("""You need to specify an `image_processor`."""		)
      if tokenizer is None:
        raise ValueError("""You need to specify a `tokenizer`."""		)

      super().__init__(lowerCamelCase   ,						lowerCamelCase		)

    def __call__(       self   :  Optional[int]   ,						lowerCamelCase   :  Dict=None   ,						lowerCamelCase   :  Optional[Any]=None   ,						lowerCamelCase   :  Union[str, Any]=None   ,						**lowerCamelCase   :  List[str]		)       ->  Union[str, Any]:





      if text is None and images is None:
        raise ValueError("""You have to specify either text or images. Both cannot be none."""		)

      if text is not None:
        lowerCAmelCase_      :				List[str]      =       self.tokenizer(lowerCamelCase   ,						return_tensors=lowerCamelCase   ,						**lowerCamelCase		)

      if images is not None:
        lowerCAmelCase_      :				Optional[Any]      =       self.image_processor(lowerCamelCase   ,						return_tensors=lowerCamelCase   ,						**lowerCamelCase		)

      if text is not None and images is not None:
        lowerCAmelCase_      :				Union[str, Any]      =       image_features.pixel_values
        return encoding
      elif text is not None:
        return encoding
      else:
        return BatchEncoding(data=dict(**lowerCamelCase		)   ,						tensor_type=lowerCamelCase		)

    def __lowercase       (       self   :  Optional[Any]   ,						*lowerCamelCase   :  Dict   ,						**lowerCamelCase   :  int		)       ->  int:
      return self.tokenizer.batch_decode(*lowerCamelCase   ,						**lowerCamelCase		)

    def __lowercase       (       self   :  int   ,						*lowerCamelCase   :  List[Any]   ,						**lowerCamelCase   :  Union[str, Any]		)       ->  Optional[Any]:
      return self.tokenizer.decode(*lowerCamelCase   ,						**lowerCamelCase		)





    @property
    def __lowercase       (       self   :  Dict		)       ->  Tuple:
      lowerCAmelCase_      :				int      =       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 ..utils import DummyObject, requires_backends






class        __snake_case	(       metaclass=_SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase       			= ['note_seq']

    def __init__(       self   :  Tuple   ,						*lowerCamelCase   :  Optional[int]   ,						**lowerCamelCase   :  Tuple		)       ->  Any:
      requires_backends(self   ,						["""note_seq"""]		)

    @classmethod
    def __lowercase       (       cls   :  Optional[Any]   ,						*lowerCamelCase   :  List[Any]   ,						**lowerCamelCase   :  Dict		)       ->  List[Any]:
      requires_backends(cls   ,						["""note_seq"""]		)





    @classmethod
    def __lowercase       (       cls   :  Union[str, Any]   ,						*lowerCamelCase   :  Union[str, Any]   ,						**lowerCamelCase   :  List[Any]		)       ->  Optional[int]:
      requires_backends(cls   ,						["""note_seq"""]		)



