




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



class    lowercase_		(SCREAMING_SNAKE_CASE__ ):
						lowerCAmelCase__			      =["image_processor", "tokenizer"]
						lowerCAmelCase__			      ="AutoImageProcessor"
						lowerCAmelCase__			      ="AutoTokenizer"



						def __init__(			self	:   int					,							snake_case__	:   Optional[Any]					,							snake_case__	:   Tuple  ):

								"""simple docstring"""

								super().__init__(snake_case__					,							snake_case__  )
								SCREAMING_SNAKE_CASE_					      =							self.image_processor



						def __call__(			self	:   Optional[Any]					,							snake_case__	:   Optional[int]=None					,							snake_case__	:   str=None					,							snake_case__	:   Union[str, Any]=None					,							**snake_case__	:   Optional[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:
										SCREAMING_SNAKE_CASE_					      =							self.tokenizer(snake_case__					,							return_tensors=snake_case__					,							**snake_case__  )

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

								if text is not None and images is not None:
										SCREAMING_SNAKE_CASE_					      =							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 	__a					(			self	:   Optional[int]					,							*snake_case__	:   str					,							**snake_case__	:   Any  ):

								"""simple docstring"""

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



						def 	__a					(			self	:   int					,							*snake_case__	:   Union[str, Any]					,							**snake_case__	:   List[str]  ):

								"""simple docstring"""

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






						@property
						def 	__a					(			self	:   List[str]  ):

								"""simple docstring"""

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





def 					_a							(					lowerCAmelCase    ,						lowerCAmelCase )->	List[str]:
		SCREAMING_SNAKE_CASE_					      =							[1]
		for i in range(2    ,						lowerCAmelCase ):
				factorials.append(factorials[-1] * i )
		assert 0 <= k < factorials[-1] * n, "k out of bounds"

		SCREAMING_SNAKE_CASE_					      =							[]
		SCREAMING_SNAKE_CASE_					      =							list(range(lowerCAmelCase ) )

		# Find permutation
		while factorials:
				SCREAMING_SNAKE_CASE_					      =							factorials.pop()
				SCREAMING_SNAKE_CASE_      ,				SCREAMING_SNAKE_CASE_					      =							divmod(lowerCAmelCase    ,						lowerCAmelCase )
				permutation.append(elements[number] )
				elements.remove(elements[number] )
		permutation.append(elements[0] )

		return permutation


if __name__ == "__main__":
						import doctest

						doctest.testmod()