






"""simple docstring"""







import re






def       _lowerCAmelCase       (      lowerCAmelCase		):







       '''simple docstring'''

       if len(re.findall("""[ATCG]"""	,      lowerCAmelCase		)		) != len(lowerCAmelCase		):
              raise ValueError("""Invalid Strand"""		)

       return dna.translate(dna.maketrans("""ATCG"""	,      """TAGC"""		)		)


if __name__ == "__main__":
 import doctest

 doctest.testmod()








"""simple docstring"""







import warnings

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





class   UpperCamelCase_ (       a_  ):
  _A       :					Optional[int]				=	['image_processor', 'tokenizer']
  _A       :					Optional[Any]				=	'ViTImageProcessor'
  _A       :					Tuple				=	('CLIPTokenizer', 'CLIPTokenizerFast')



  def __init__(      self ,		snake_case__=None ,		snake_case__=None ,		**snake_case__				)			->			Union[str, Any]:



         """simple docstring"""





         UpperCAmelCase	    =			None
         if "feature_extractor" in kwargs:
                warnings.warn(
                    """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
                    """ instead.""" ,		snake_case__ ,		)
                UpperCAmelCase	    =			kwargs.pop("""feature_extractor"""				)

         UpperCAmelCase	    =			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__(snake_case__ ,		snake_case__				)



  def __call__(      self ,		snake_case__=None ,		snake_case__=None ,		snake_case__=None ,		snake_case__=None ,		**snake_case__				)			->			List[str]:



         """simple docstring"""





         if text is None and visual_prompt is None and images is None:
                raise ValueError("""You have to specify either text, visual prompt or images."""				)

         if text is not None and visual_prompt is not None:
                raise ValueError("""You have to specify exactly one type of prompt. Either text or visual prompt."""				)

         if text is not None:
                UpperCAmelCase	    =			self.tokenizer(snake_case__ ,		return_tensors=snake_case__ ,		**snake_case__				)

         if visual_prompt is not None:
                UpperCAmelCase	    =			self.image_processor(snake_case__ ,		return_tensors=snake_case__ ,		**snake_case__				)

         if images is not None:
                UpperCAmelCase	    =			self.image_processor(snake_case__ ,		return_tensors=snake_case__ ,		**snake_case__				)

         if visual_prompt is not None and images is not None:
                UpperCAmelCase	    =			{
                    """pixel_values""": image_features.pixel_values,
                    """conditional_pixel_values""": prompt_features.pixel_values,
                }
                return encoding
         elif text is not None and images is not None:
                UpperCAmelCase	    =			image_features.pixel_values
                return encoding
         elif text is not None:
                return encoding
         elif visual_prompt is not None:
                UpperCAmelCase	    =			{
                    """conditional_pixel_values""": prompt_features.pixel_values,
                }
                return encoding
         else:
                return BatchEncoding(data=dict(**snake_case__				) ,		tensor_type=snake_case__				)



  def 		UpperCamelCase_				(      self ,		*snake_case__ ,		**snake_case__				)			->			Tuple:



         """simple docstring"""





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



  def 		UpperCamelCase_				(      self ,		*snake_case__ ,		**snake_case__				)			->			Optional[int]:



         """simple docstring"""





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



  @property
  def 		UpperCamelCase_				(      self				)			->			Tuple:



         """simple docstring"""





         warnings.warn(
             """`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.""" ,		snake_case__ ,		)
         return self.image_processor_class



  @property
  def 		UpperCamelCase_				(      self				)			->			Any:



         """simple docstring"""





         warnings.warn(
             """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.""" ,		snake_case__ ,		)
         return self.image_processor
