
'''simple docstring'''

import warnings

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




class    lowerCAmelCase       (     UpperCamelCase_  ):
 A_				:				List[Any]	=			["""image_processor""", """tokenizer"""]
 A_				:				Any	=			"""ViTImageProcessor"""
 A_				:				Union[str, Any]	=			("""CLIPTokenizer""", """CLIPTokenizerFast""")


 def __init__(    self  : Optional[Any]			,							a__  : Any=None			,							a__  : List[Any]=None			,							**a__  : Dict    ):
  '''simple docstring'''

  lowerCAmelCase__     :   Union[str, Any]     		=	None
  if "feature_extractor" in kwargs:
   warnings.warn(
       "The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
       " instead."			,							a__			,							)
   lowerCAmelCase__     :   Optional[Any]     		=	kwargs.pop("feature_extractor"    )

  lowerCAmelCase__     :   Optional[Any]     		=	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__(a__			,							a__    )


 def __call__(    self  : int			,							a__  : int=None			,							a__  : Any=None			,							a__  : List[Any]=None			,							a__  : List[str]=None			,							**a__  : Optional[int]    ):
  '''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:
   lowerCAmelCase__     :   Any     		=	self.tokenizer(a__			,							return_tensors=a__			,							**a__    )

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

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

  if visual_prompt is not None and images is not None:
   lowerCAmelCase__     :   List[str]     		=	{
       "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:
   lowerCAmelCase__     :   List[Any]     		=	image_features.pixel_values
   return encoding
  elif text is not None:
   return encoding
  elif visual_prompt is not None:
   lowerCAmelCase__     :   Optional[int]     		=	{
       "conditional_pixel_values": prompt_features.pixel_values,
   }
   return encoding
  else:
   return BatchEncoding(data=dict(**a__    )			,							tensor_type=a__    )


 def    _A	(    self  : int			,							*a__  : int			,							**a__  : Optional[Any]    ):
  '''simple docstring'''

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


 def    _A	(    self  : List[str]			,							*a__  : Tuple			,							**a__  : int    ):
  '''simple docstring'''

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


 @property
 def    _A	(    self  : List[str]    ):
  '''simple docstring'''

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


 @property
 def    _A	(    self  : int    ):
  '''simple docstring'''

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







'''simple docstring'''

def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_			):







 """simple docstring"""


 if height >= 1:
  move_tower(height - 1      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_			)
  move_disk(lowerCamelCase_      ,			lowerCamelCase_			)
  move_tower(height - 1      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_			)


def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_			):







 """simple docstring"""


 print("moving disk from"      ,			lowerCamelCase_      ,			"to"      ,			lowerCamelCase_			)


def        UpperCAmelCase_ (  ):







 """simple docstring"""


 lowerCAmelCase__     :   List[str]     		=	int(input("Height of hanoi: "			).strip()			)
 move_tower(lowerCamelCase_      ,			"A"      ,			"B"      ,			"C"			)


if __name__ == "__main__":
     main()





