


'''simple docstring'''
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding




class      lowerCamelCase_  (      __a ):
      lowerCAmelCase__							=	['image_processor', 'tokenizer']
      lowerCAmelCase__							=	'AutoImageProcessor'
      lowerCAmelCase__							=	'AutoTokenizer'






      def __init__(   self							:       List[Any]		,		_A							:       Optional[int]		,		_A							:       Optional[int]					):


          '''simple docstring'''


          super().__init__(_A		,		_A					)
          UpperCAmelCase__     :						str						=							self.image_processor






      def __call__(   self							:       Dict		,		_A							:       Any=None		,		_A							:       Optional[Any]=None		,		_A							:       List[Any]=None		,		**_A							:       int					):


          '''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(_A		,		return_tensors=_A		,		**_A					)

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

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






      def lowercase_				(   self							:       Optional[int]		,		*_A							:       Any		,		**_A							:       List[str]					):


          '''simple docstring'''


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






      def lowercase_				(   self							:       Dict		,		*_A							:       Any		,		**_A							:       int					):


          '''simple docstring'''


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






      @property
      def lowercase_				(   self							:       Tuple					):


          '''simple docstring'''


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



'''simple docstring'''

def 					__UpperCamelCase				(						lowercase__    :	int			):






     '''simple docstring'''





     if upper_limit < 0:
          raise ValueError('Limit for the Catalan sequence must be ≥ 0'			)

     __lowercase      		=[0] * (upper_limit + 1)

     # Base case: C(0) = C(1) = 1
     __lowercase      		=1
     if upper_limit > 0:
          __lowercase      		=1

     # Recurrence relation: C(i) = sum(C(j).C(i-j-1)), from j = 0 to i
     for i in range(2,       upper_limit + 1			):
          for j in range(lowercase__			):
               catalan_list[i] += catalan_list[j] * catalan_list[i - j - 1]

     return catalan_list


if __name__ == "__main__":
       print('''\n********* Catalan Numbers Using Dynamic Programming ************\n''')
       print('''\n*** Enter -1 at any time to quit ***''')
       print('''\nEnter the upper limit (≥ 0) for the Catalan number sequence: ''', end='''''')
       try:
              while True:
                     UpperCAmelCase					 =	int(input().strip())
                     if N < 0:
                            print('''\n********* Goodbye!! ************''')
                            break
                     else:
                            print(F'''The Catalan numbers from 0 through {N} are:''')
                            print(catalan_numbers(N))
                            print('''Try another upper limit for the sequence: ''', end='''''')
       except (NameError, ValueError):
              print('''\n********* Invalid input, goodbye! ************\n''')

       import doctest

       doctest.testmod()


