


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



class 				A       (			UpperCAmelCase__				):
					'''simple docstring'''






					A__     =					['''image_processor''', '''tokenizer''']
					A__     =					'''AutoImageProcessor'''
					A__     =					'''AutoTokenizer'''

					def __init__(self       :		str ,   _UpperCAmelCase       :		Tuple ,   _UpperCAmelCase       :		int						)		->  List[str]:




							"""simple docstring"""


							super().__init__(_UpperCAmelCase ,   _UpperCAmelCase						)
							lowercase__	     =						self.image_processor

					def __call__(self       :		Union[str, Any] ,   _UpperCAmelCase       :		List[Any]=None ,   _UpperCAmelCase       :		Tuple=None ,   _UpperCAmelCase       :		List[Any]=None ,   **_UpperCAmelCase       :		str						)		->  Dict:




							"""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:
									lowercase__	     =						self.tokenizer(_UpperCAmelCase ,   return_tensors=_UpperCAmelCase ,   **_UpperCAmelCase						)

							if images is not None:
									lowercase__	     =						self.image_processor(_UpperCAmelCase ,   return_tensors=_UpperCAmelCase ,   **_UpperCAmelCase						)

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

					def     lowerCamelCase__	(self       :		Optional[Any] ,   *_UpperCAmelCase       :		str ,   **_UpperCAmelCase       :		str						)		->  Union[str, Any]:




							"""simple docstring"""


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

					def     lowerCamelCase__	(self       :		Dict ,   *_UpperCAmelCase       :		Optional[int] ,   **_UpperCAmelCase       :		int						)		->  str:




							"""simple docstring"""


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


					@property
					def     lowerCamelCase__	(self       :		List[Any]						)		->  str:




							"""simple docstring"""


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





from __future__ import annotations






def 					UpperCamelCase   (      __magic_name__	:				list[int]	)  ->    list[int]:  # This function is recursive
		"""simple docstring"""




		lowercase__	     =						len(__magic_name__	)
		# If the array contains only one element, we return it (it's the stop condition of
		# recursion)
		if array_length <= 1:
				return array
				# Else
		lowercase__	     =						array[0]
		lowercase__	     =						False
		lowercase__	     =						1
		lowercase__	     =						[]
		while not is_found and i < array_length:
				if array[i] < pivot:
						lowercase__	     =						True
						lowercase__	     =						[element for element in array[i:] if element >= array[i]]
						lowercase__	     =						longest_subsequence(__magic_name__	)
						if len(__magic_name__	) > len(__magic_name__	):
								lowercase__	     =						temp_array
				else:
						i += 1

		lowercase__	     =						[element for element in array[1:] if element >= pivot]
		lowercase__	     =						[pivot, *longest_subsequence(__magic_name__	)]
		if len(__magic_name__	) > len(__magic_name__	):
				return temp_array
		else:
				return longest_subseq


if __name__ == "__main__":
	import doctest

	doctest.testmod()

