



"""simple docstring"""






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



class     A__     (						__lowercase							):




	'''simple docstring'''





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

	def __init__(  self:	Any ,    _SCREAMING_SNAKE_CASE:	Any ,    _SCREAMING_SNAKE_CASE:	Union[str, Any])       -> Optional[int]:

				"""simple docstring"""

				super().__init__(__A ,    __A)
				__lowerCAmelCase   :						List[str]				= self.image_processor

	def __call__(  self:	Any ,    _SCREAMING_SNAKE_CASE:	int=None ,    _SCREAMING_SNAKE_CASE:	List[Any]=None ,    _SCREAMING_SNAKE_CASE:	str=None ,    **_SCREAMING_SNAKE_CASE:	Tuple)       -> Optional[Any]:

				"""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:
							__lowerCAmelCase   :						Tuple				= self.tokenizer(__A ,    return_tensors=__A ,    **__A)

				if images is not None:
							__lowerCAmelCase   :						List[str]				= self.image_processor(__A ,    return_tensors=__A ,    **__A)

				if text is not None and images is not None:
							__lowerCAmelCase   :						Optional[Any]				= image_features.pixel_values
							return encoding
				elif text is not None:
							return encoding
				else:
							return BatchEncoding(data=dict(**__A) ,    tensor_type=__A)

	def 							_SCREAMING_SNAKE_CASE     (  self:	List[Any] ,    *_SCREAMING_SNAKE_CASE:	Union[str, Any] ,    **_SCREAMING_SNAKE_CASE:	List[Any])       -> Union[str, Any]:

				"""simple docstring"""

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

	def 							_SCREAMING_SNAKE_CASE     (  self:	str ,    *_SCREAMING_SNAKE_CASE:	str ,    **_SCREAMING_SNAKE_CASE:	Optional[int])       -> Optional[int]:

				"""simple docstring"""

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







	@property
	def 							_SCREAMING_SNAKE_CASE     (  self:	Dict)       -> List[str]:

				"""simple docstring"""

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




"""simple docstring"""






import math


def     _lowercase       (						__snake_case      ,__snake_case			)		->     float:
			return math.pow(__snake_case      ,2			) - a


def     _lowercase       (						__snake_case			)		->     float:
			return 2 * x


def     _lowercase       (						__snake_case			)		->     float:
			__lowerCAmelCase   :						List[str]				= 2.0

			while start <= a:
						__lowerCAmelCase   :						Union[str, Any]				= math.pow(__snake_case      ,2			)

			return start


def     _lowercase       (						__snake_case      ,__snake_case = 9_999      ,__snake_case = 0.00000000000001			)		->     float:

			if a < 0:
						raise ValueError("math domain error"			)

			__lowerCAmelCase   :						List[Any]				= get_initial_point(__snake_case			)

			for _ in range(__snake_case			):
						__lowerCAmelCase   :						Union[str, Any]				= value
						__lowerCAmelCase   :						List[str]				= value - fx(__snake_case      ,__snake_case			) / fx_derivative(__snake_case			)
						if abs(prev_value - value			) < tolerance:
									return value

			return value


if __name__ == "__main__":
	from doctest import testmod

	testmod()