

'''simple docstring'''



from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType

class       SCREAMING_SNAKE_CASE       (				_SCREAMING_SNAKE_CASE       ):






      '''simple docstring'''






      SCREAMING_SNAKE_CASE__			:					Any     =					["""image_processor""", """tokenizer"""]
      SCREAMING_SNAKE_CASE__			:					List[Any]     =					"""BlipImageProcessor"""
      SCREAMING_SNAKE_CASE__			:					Optional[Any]     =					"""AutoTokenizer"""




      def __init__(       self			:		List[str]  ,       snake_case			:		Tuple  ,       snake_case			:		Optional[Any] ):



          """simple docstring"""





          _snake_case			:			Tuple				       =		False
          super().__init__(lowerCAmelCase_  ,       lowerCAmelCase_ )
          _snake_case			:			int				       =		self.image_processor




      def __call__(       self			:		List[Any]  ,       snake_case			:		int = None  ,       snake_case			:		Union[str, Any] = None  ,       snake_case			:		Tuple = True  ,       snake_case			:		Any = False  ,       snake_case			:		Dict = None  ,       snake_case			:		Tuple = None  ,       snake_case			:		Optional[int] = 0  ,       snake_case			:		Union[str, Any] = None  ,       snake_case			:		List[str] = None  ,       snake_case			:		Tuple = False  ,       snake_case			:		List[Any] = False  ,       snake_case			:		Dict = False  ,       snake_case			:		Optional[int] = False  ,       snake_case			:		Optional[Any] = False  ,       snake_case			:		List[str] = True  ,       snake_case			:		Tuple = None  ,       **snake_case			:		List[Any]  ,       ):



          """simple docstring"""





          if images is None and text is None:
              raise ValueError('You have to specify either images or text.' )

          # Get only text
          if images is None:
              _snake_case			:			Tuple				       =		self.tokenizer
              _snake_case			:			Union[str, Any]				       =		self.tokenizer(
                  text=lowerCAmelCase_  ,       add_special_tokens=lowerCAmelCase_  ,       padding=lowerCAmelCase_  ,       truncation=lowerCAmelCase_  ,       max_length=lowerCAmelCase_  ,       stride=lowerCAmelCase_  ,       pad_to_multiple_of=lowerCAmelCase_  ,       return_attention_mask=lowerCAmelCase_  ,       return_overflowing_tokens=lowerCAmelCase_  ,       return_special_tokens_mask=lowerCAmelCase_  ,       return_offsets_mapping=lowerCAmelCase_  ,       return_token_type_ids=lowerCAmelCase_  ,       return_length=lowerCAmelCase_  ,       verbose=lowerCAmelCase_  ,       return_tensors=lowerCAmelCase_  ,       **lowerCAmelCase_  ,       )
              return text_encoding

          # add pixel_values
          _snake_case			:			Union[str, Any]				       =		self.image_processor(lowerCAmelCase_  ,       return_tensors=lowerCAmelCase_ )

          if text is not None:
              _snake_case			:			Tuple				       =		self.tokenizer(
                  text=lowerCAmelCase_  ,       add_special_tokens=lowerCAmelCase_  ,       padding=lowerCAmelCase_  ,       truncation=lowerCAmelCase_  ,       max_length=lowerCAmelCase_  ,       stride=lowerCAmelCase_  ,       pad_to_multiple_of=lowerCAmelCase_  ,       return_attention_mask=lowerCAmelCase_  ,       return_overflowing_tokens=lowerCAmelCase_  ,       return_special_tokens_mask=lowerCAmelCase_  ,       return_offsets_mapping=lowerCAmelCase_  ,       return_token_type_ids=lowerCAmelCase_  ,       return_length=lowerCAmelCase_  ,       verbose=lowerCAmelCase_  ,       return_tensors=lowerCAmelCase_  ,       **lowerCAmelCase_  ,       )
          else:
              _snake_case			:			List[Any]				       =		None

          if text_encoding is not None:
              encoding_image_processor.update(lowerCAmelCase_ )

          return encoding_image_processor




      def 						__UpperCAmelCase      (       self			:		List[Any]  ,       *snake_case			:		str  ,       **snake_case			:		Dict ):



          """simple docstring"""





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




      def 						__UpperCAmelCase      (       self			:		Optional[int]  ,       *snake_case			:		Union[str, Any]  ,       **snake_case			:		List[Any] ):



          """simple docstring"""





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




      @property
      # Copied from transformers.models.blip.processing_blip.BlipProcessor.model_input_names
      def 						__UpperCAmelCase      (       self			:		Optional[int] ):



          """simple docstring"""





          _snake_case			:			int				       =		self.tokenizer.model_input_names
          _snake_case			:			str				       =		self.image_processor.model_input_names
          return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names ) )











"""simple docstring"""
class   SCREAMING_SNAKE_CASE	:





	"""simple docstring"""




	def __init__(self  ,  lowerCAmelCase_  ,  lowerCAmelCase_=None  ,  lowerCAmelCase_=None				):
		A_		:    Dict						     = data
		A_		:    Dict						     = previous
		A_		:    int						     = next_node





	def __str__(self				):
		return f"""{self.data}"""





	def  lowerCamelCase(self				):
		return self.data





	def  lowerCamelCase(self				):
		return self.next





	def  lowerCamelCase(self				):
		return self.previous






class   SCREAMING_SNAKE_CASE	:





	"""simple docstring"""




	def __init__(self  ,  lowerCAmelCase_				):
		A_		:    Optional[Any]						     = head





	def __iter__(self				):
		return self





	def  lowerCamelCase(self				):
		if not self.current:
			raise StopIteration
		else:
			A_		:    str						     = self.current.get_data()
			A_		:    List[str]						     = self.current.get_next()
			return value






class   SCREAMING_SNAKE_CASE	:





	"""simple docstring"""




	def __init__(self				):
		A_		:    str						     = None  # First node in list
		A_		:    Tuple						     = None  # Last node in list





	def __str__(self				):
		A_		:    int						     = self.head
		A_		:    str						     = []
		while current is not None:
			nodes.append(current.get_data()				)
			A_		:    Any						     = current.get_next()
		return " ".join(str(lowerCAmelCase_				) for node in nodes				)





	def __contains__(self  ,  lowerCAmelCase_				):
		A_		:    Union[str, Any]						     = self.head
		while current:
			if current.get_data() == value:
				return True
			A_		:    Union[str, Any]						     = current.get_next()
		return False





	def __iter__(self				):
		return LinkedListIterator(self.head				)





	def  lowerCamelCase(self				):
		if self.head:
			return self.head.get_data()
		return None





	def  lowerCamelCase(self				):
		if self.tail:
			return self.tail.get_data()
		return None





	def  lowerCamelCase(self  ,  lowerCAmelCase_				):
		if self.head is None:
			A_		:    str						     = node
			A_		:    Optional[int]						     = node
		else:
			self.insert_before_node(self.head  ,  lowerCAmelCase_				)





	def  lowerCamelCase(self  ,  lowerCAmelCase_				):
		if self.head is None:
			self.set_head(lowerCAmelCase_				)
		else:
			self.insert_after_node(self.tail  ,  lowerCAmelCase_				)





	def  lowerCamelCase(self  ,  lowerCAmelCase_				):
		A_		:    List[Any]						     = Node(lowerCAmelCase_				)
		if self.head is None:
			self.set_head(lowerCAmelCase_				)
		else:
			self.set_tail(lowerCAmelCase_				)





	def  lowerCamelCase(self  ,  lowerCAmelCase_  ,  lowerCAmelCase_				):
		A_		:    str						     = node
		A_		:    Union[str, Any]						     = node.previous

		if node.get_previous() is None:
			A_		:    Dict						     = node_to_insert
		else:
			A_		:    Optional[Any]						     = node_to_insert

		A_		:    Any						     = node_to_insert





	def  lowerCamelCase(self  ,  lowerCAmelCase_  ,  lowerCAmelCase_				):
		A_		:    Dict						     = node
		A_		:    Optional[Any]						     = node.next

		if node.get_next() is None:
			A_		:    Optional[int]						     = node_to_insert
		else:
			A_		:    List[Any]						     = node_to_insert

		A_		:    Optional[Any]						     = node_to_insert





	def  lowerCamelCase(self  ,  lowerCAmelCase_  ,  lowerCAmelCase_				):
		A_		:    str						     = 1
		A_		:    Tuple						     = Node(lowerCAmelCase_				)
		A_		:    Dict						     = self.head
		while node:
			if current_position == position:
				self.insert_before_node(lowerCAmelCase_  ,  lowerCAmelCase_				)
				return
			current_position += 1
			A_		:    List[str]						     = node.next
		self.insert_after_node(self.tail  ,  lowerCAmelCase_				)





	def  lowerCamelCase(self  ,  lowerCAmelCase_				):
		A_		:    Dict						     = self.head
		while node:
			if node.get_data() == item:
				return node
			A_		:    Optional[int]						     = node.get_next()
		raise Exception("""Node not found"""				)





	def  lowerCamelCase(self  ,  lowerCAmelCase_				):
		if (node := self.get_node(lowerCAmelCase_				)) is not None:
			if node == self.head:
				A_		:    Tuple						     = self.head.get_next()

			if node == self.tail:
				A_		:    Dict						     = self.tail.get_previous()

			self.remove_node_pointers(lowerCAmelCase_				)





	@staticmethod
	def  lowerCamelCase(lowerCAmelCase_				):
		if node.get_next():
			A_		:    Any						     = node.previous

		if node.get_previous():
			A_		:    int						     = node.next

		A_		:    str						     = None
		A_		:    int						     = None





	def  lowerCamelCase(self				):
		return self.head is None






def       __UpperCamelCase						(		):
	pass


if __name__ == "__main__":
							import doctest

							doctest.testmod()

