



from __future__ import annotations

from collections.abc import Iterator
from typing import Any





class    lowerCamelCase__  :
     """simple docstring"""



     def __init__(self				,			__a    ):






           '''simple docstring'''



           lowerCamelCase								=		data
           lowerCamelCase								=		None





class    lowerCamelCase__  :
     """simple docstring"""



     def __init__(self    ):






           '''simple docstring'''



           lowerCamelCase								=		None
           lowerCamelCase								=		None







     def __iter__(self    ):






           '''simple docstring'''



           lowerCamelCase								=		self.head
           while self.head:
                 yield node.data
                 lowerCamelCase								=		node.next
                 if node == self.head:
                       break







     def __len__(self    ):






           '''simple docstring'''



           return sum(1 for _ in self    )







     def __repr__(self    ):






           '''simple docstring'''



           return "->".join(str(__a    ) for item in iter(self    )    )







     def 						_a      (self				,			__a    ):






           '''simple docstring'''



           self.insert_nth(len(self    )				,			__a    )







     def 						_a      (self				,			__a    ):






           '''simple docstring'''



           self.insert_nth(0				,			__a    )







     def 						_a      (self				,			__a				,			__a    ):






           '''simple docstring'''



           if index < 0 or index > len(self    ):
                 raise IndexError("list index out of range."    )
           lowerCamelCase								=		Node(__a    )
           if self.head is None:
                 lowerCamelCase								=		new_node  # first node points itself
                 lowerCamelCase								=		lowerCamelCase								=		new_node
           elif index == 0:  # insert at head
                 lowerCamelCase								=		self.head
                 lowerCamelCase								=		lowerCamelCase								=		new_node
           else:
                 lowerCamelCase								=		self.head
                 for _ in range(index - 1    ):
                       lowerCamelCase								=		temp.next
                 lowerCamelCase								=		temp.next
                 lowerCamelCase								=		new_node
                 if index == len(self    ) - 1:  # insert at tail
                       lowerCamelCase								=		new_node







     def 						_a      (self    ):






           '''simple docstring'''



           return self.delete_nth(0    )







     def 						_a      (self    ):






           '''simple docstring'''



           return self.delete_nth(len(self    ) - 1    )







     def 						_a      (self				,			__a = 0    ):






           '''simple docstring'''



           if not 0 <= index < len(self    ):
                 raise IndexError("list index out of range."    )
           lowerCamelCase								=		self.head
           if self.head == self.tail:  # just one node
                 lowerCamelCase								=		lowerCamelCase								=		None
           elif index == 0:  # delete head node
                 lowerCamelCase								=		self.tail.next.next
                 lowerCamelCase								=		self.head.next
           else:
                 lowerCamelCase								=		self.head
                 for _ in range(index - 1    ):
                       lowerCamelCase								=		temp.next
                 lowerCamelCase								=		temp.next
                 lowerCamelCase								=		temp.next.next
                 if index == len(self    ) - 1:  # delete at tail
                       lowerCamelCase								=		temp
           return delete_node.data







     def 						_a      (self    ):






           '''simple docstring'''



           return len(self    ) == 0



def     __lowercase(	):


      """simple docstring"""



      lowerCamelCase								=		CircularLinkedList()
      assert len(UpperCAmelCase__ ) == 0
      assert circular_linked_list.is_empty() is True
      assert str(UpperCAmelCase__ ) == ""

      try:
            circular_linked_list.delete_front()
            raise AssertionError  # This should not happen
      except IndexError:
            assert True  # This should happen

      try:
            circular_linked_list.delete_tail()
            raise AssertionError  # This should not happen
      except IndexError:
            assert True  # This should happen

      try:
            circular_linked_list.delete_nth(-1 )
            raise AssertionError
      except IndexError:
            assert True

      try:
            circular_linked_list.delete_nth(0 )
            raise AssertionError
      except IndexError:
            assert True

      assert circular_linked_list.is_empty() is True
      for i in range(5 ):
            assert len(UpperCAmelCase__ ) == i
            circular_linked_list.insert_nth(UpperCAmelCase__   ,   i + 1 )
      assert str(UpperCAmelCase__ ) == "->".join(str(UpperCAmelCase__ ) for i in range(1   ,   6 ) )

      circular_linked_list.insert_tail(6 )
      assert str(UpperCAmelCase__ ) == "->".join(str(UpperCAmelCase__ ) for i in range(1   ,   7 ) )
      circular_linked_list.insert_head(0 )
      assert str(UpperCAmelCase__ ) == "->".join(str(UpperCAmelCase__ ) for i in range(0   ,   7 ) )

      assert circular_linked_list.delete_front() == 0
      assert circular_linked_list.delete_tail() == 6
      assert str(UpperCAmelCase__ ) == "->".join(str(UpperCAmelCase__ ) for i in range(1   ,   6 ) )
      assert circular_linked_list.delete_nth(2 ) == 3

      circular_linked_list.insert_nth(2   ,   3 )
      assert str(UpperCAmelCase__ ) == "->".join(str(UpperCAmelCase__ ) for i in range(1   ,   6 ) )

      assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
     import doctest

     doctest.testmod()




import warnings

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





class    lowerCamelCase__  (						UpperCAmelCase_):
     """simple docstring"""



     _A       =			['image_processor', 'tokenizer']
     _A       =			'CLIPImageProcessor'
     _A       =			('CLIPTokenizer', 'CLIPTokenizerFast')







     def __init__(self				,			__a=None				,			__a=None				,			**__a    ):






           '''simple docstring'''



           lowerCamelCase								=		None
           if "feature_extractor" in kwargs:
                 warnings.warn(
                     "The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
                     " instead."				,			__a				,			)
                 lowerCamelCase								=		kwargs.pop("feature_extractor"    )

           lowerCamelCase								=		image_processor if image_processor is not None else feature_extractor
           if image_processor is None:
                 raise ValueError("You need to specify an `image_processor`."    )
           if tokenizer is None:
                 raise ValueError("You need to specify a `tokenizer`."    )

           super().__init__(__a				,			__a    )







     def __call__(self				,			__a=None				,			__a=None				,			__a=None				,			**__a    ):






           '''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								=		self.tokenizer(__a				,			return_tensors=__a				,			**__a    )

           if images is not None:
                 lowerCamelCase								=		self.image_processor(__a				,			return_tensors=__a				,			**__a    )

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







     def 						_a      (self				,			*__a				,			**__a    ):






           '''simple docstring'''



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







     def 						_a      (self				,			*__a				,			**__a    ):






           '''simple docstring'''



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







     @property
     def 						_a      (self    ):






           '''simple docstring'''



           lowerCamelCase								=		self.tokenizer.model_input_names
           lowerCamelCase								=		self.image_processor.model_input_names
           return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names    )    )







     @property
     def 						_a      (self    ):






           '''simple docstring'''



           warnings.warn(
               "`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."				,			__a				,			)
           return self.image_processor_class







     @property
     def 						_a      (self    ):






           '''simple docstring'''



           warnings.warn(
               "`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."				,			__a				,			)
           return self.image_processor