
'''simple docstring'''





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






class 							UpperCAmelCase_							(    A				):

 '''simple docstring'''
 lowercase_					:    Optional[int]				=							["image_processor", "tokenizer"]
 lowercase_					:    Any				=							"AutoImageProcessor"
 lowercase_					:    Optional[Any]				=							"AutoTokenizer"







 def __init__(					self		:  List[str]			,				snake_case__		:  str			,				snake_case__		:  int ):



   '''simple docstring'''




   super().__init__(snake_case__			,				snake_case__ )
   UpperCAmelCase__      :					Any				       =							self.image_processor







 def __call__(					self		:  str			,				snake_case__		:  Dict=None			,				snake_case__		:  List[Any]=None			,				snake_case__		:  Dict=None			,				**snake_case__		:  Tuple ):



   '''simple docstring'''




   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:
     UpperCAmelCase__      :					Union[str, Any]				       =							self.tokenizer(snake_case__			,				return_tensors=snake_case__			,				**snake_case__ )

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

   if text is not None and images is not None:
     UpperCAmelCase__      :					Any				       =							image_features.pixel_values
     return encoding
   elif text is not None:
     return encoding
   else:
     return BatchEncoding(data=dict(**snake_case__ )			,				tensor_type=snake_case__ )







 def 							UpperCamelCase  (					self		:  List[Any]			,				*snake_case__		:  Any			,				**snake_case__		:  Optional[int] ):



   '''simple docstring'''




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







 def 							UpperCamelCase  (					self		:  int			,				*snake_case__		:  Optional[Any]			,				**snake_case__		:  List[Any] ):



   '''simple docstring'''




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







 @property
 def 							UpperCamelCase  (					self		:  Dict ):



   '''simple docstring'''




   return ["input_ids", "attention_mask", "pixel_values"]





'''simple docstring'''





def snake_case_     (					lowercase__		):

  if len(lowercase__		) <= 1:
    return [tuple(lowercase__		)]

  UpperCAmelCase__      :					Union[str, Any]				       =							[]

  def generate(lowercase__   ,       lowercase__		):
    UpperCAmelCase__      :					str				       =							[0] * n
    res.append(tuple(lowercase__		)		)

    UpperCAmelCase__      :					Any				       =							0
    while i < n:
      if c[i] < i:
        if i % 2 == 0:
          UpperCAmelCase__       ,			UpperCAmelCase__      :					str				       =							arr[i], arr[0]
        else:
          UpperCAmelCase__       ,			UpperCAmelCase__      :					Optional[Any]				       =							arr[i], arr[c[i]]
        res.append(tuple(lowercase__		)		)
        c[i] += 1
        UpperCAmelCase__      :					List[str]				       =							0
      else:
        UpperCAmelCase__      :					Dict				       =							0
        i += 1

  generate(len(lowercase__		)   ,       lowercase__		)
  return res


if __name__ == "__main__":
      SCREAMING_SNAKE_CASE     =       input("""Enter numbers separated by a comma:\n""").strip()
      SCREAMING_SNAKE_CASE     =       [int(item) for item in user_input.split(""",""")]
      print(heaps(arr))



