


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




class 	lowercase__				(					A_				):
   __UpperCAmelCase							       =					['''image_processor''', '''tokenizer''']
   __UpperCAmelCase							       =					'''AutoImageProcessor'''
   __UpperCAmelCase							       =					'''AutoTokenizer'''





   def __init__(							self      ,   SCREAMING_SNAKE_CASE      ,   SCREAMING_SNAKE_CASE)  ->  str:
      super().__init__(SCREAMING_SNAKE_CASE      ,   SCREAMING_SNAKE_CASE)
      _lowerCamelCase	:					Optional[int]   =		self.image_processor





   def __call__(							self      ,   SCREAMING_SNAKE_CASE=None      ,   SCREAMING_SNAKE_CASE=None      ,   SCREAMING_SNAKE_CASE=None      ,   **SCREAMING_SNAKE_CASE)  ->  str:

      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	:					str   =		self.tokenizer(SCREAMING_SNAKE_CASE      ,   return_tensors=SCREAMING_SNAKE_CASE      ,   **SCREAMING_SNAKE_CASE)

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

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





   def 		UpperCamelCase_  (							self      ,   *SCREAMING_SNAKE_CASE      ,   **SCREAMING_SNAKE_CASE)  ->  List[str]:
      return self.tokenizer.batch_decode(*SCREAMING_SNAKE_CASE      ,   **SCREAMING_SNAKE_CASE)





   def 		UpperCamelCase_  (							self      ,   *SCREAMING_SNAKE_CASE      ,   **SCREAMING_SNAKE_CASE)  ->  Tuple:
      return self.tokenizer.decode(*SCREAMING_SNAKE_CASE      ,   **SCREAMING_SNAKE_CASE)





   @property
   def 		UpperCamelCase_  (							self)  ->  int:
      return ["input_ids", "attention_mask", "pixel_values"]




from math import factorial, pi

def 			lowerCamelCase__			(       _a				,      _a = 30):

	if not isinstance(_a				,      (int, float)):
		raise ValueError("maclaurin_sin() requires either an int or float for theta")

	if not isinstance(_a				,      _a) or accuracy <= 0:
		raise ValueError("maclaurin_sin() requires a positive int for accuracy")

	SCREAMING_SNAKE_CASE :   int					  =							float(_a)
	SCREAMING_SNAKE_CASE :   Dict					  =							theta // (2 * pi)
	theta -= 2 * div * pi
	return sum(
	    (-1) ** r * theta ** (2 * r + 1) / factorial(2 * r + 1) for r in range(_a))

def 			lowerCamelCase__			(       _a				,      _a = 30):

	if not isinstance(_a				,      (int, float)):
		raise ValueError("maclaurin_cos() requires either an int or float for theta")

	if not isinstance(_a				,      _a) or accuracy <= 0:
		raise ValueError("maclaurin_cos() requires a positive int for accuracy")

	SCREAMING_SNAKE_CASE :   str					  =							float(_a)
	SCREAMING_SNAKE_CASE :   Any					  =							theta // (2 * pi)
	theta -= 2 * div * pi
	return sum((-1) ** r * theta ** (2 * r) / factorial(2 * r) for r in range(_a))


if __name__ == "__main__":
			import doctest

			doctest.testmod()

			print(maclaurin_sin(10))
			print(maclaurin_sin(-10))
			print(maclaurin_sin(10, 15))
			print(maclaurin_sin(-10, 15))

			print(maclaurin_cos(5))
			print(maclaurin_cos(-5))
			print(maclaurin_cos(10, 15))
			print(maclaurin_cos(-10, 15))