





"""simple docstring"""




from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class 		__A							(				SCREAMING_SNAKE_CASE_	):
     _UpperCamelCase							:    Optional[Any]	      =	["image_processor", "tokenizer"]
     _UpperCamelCase							:    Any	      =	"AutoImageProcessor"
     _UpperCamelCase							:    int	      =	"AutoTokenizer"






     def __init__(	self       ,  a__       ,  a__						):
       super().__init__(a__       ,  a__						)
       _lowerCAmelCase		: Union[str, Any]						    =  self.image_processor






     def __call__(	self       ,  a__=None       ,  a__=None       ,  a__=None       ,  **a__						):

       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		: Dict						    =  self.tokenizer(a__       ,  return_tensors=a__       ,  **a__						)

       if images is not None:
         _lowerCAmelCase		: Tuple						    =  self.image_processor(a__       ,  return_tensors=a__       ,  **a__						)

       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(**a__						)       ,  tensor_type=a__						)






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






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






     @property
     def 					__A						(	self						):
       return ["input_ids", "attention_mask", "pixel_values"]





"""simple docstring"""




_a   :	Optional[Any] 					=     '\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

_a   :	List[str] 					=     [{'type': 'code', 'content': INSTALL_CONTENT}]
_a   :	str 					=     {
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}




