





from __future__ import annotations

from collections.abc import Iterator
from typing import Any






class        snake_case_    :






  def __init__(							self			:					List[str]       ,  _snake_case			:					Any      )->Union[str, Any]:






   '''simple docstring'''

   __lowerCAmelCase					:	Any      =       data
   __lowerCAmelCase					:	Node | None      =       None






class        snake_case_    :






  def __init__(							self			:					Optional[int]      )->List[Any]:






   '''simple docstring'''

   __lowerCAmelCase					:	List[Any]      =       None
   __lowerCAmelCase					:	Any      =       None






  def __iter__(							self			:					List[Any]      )->Iterator[Any]:






   '''simple docstring'''

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






  def __len__(							self			:					str      )->int:






   '''simple docstring'''

   return sum(1 for _ in self      )






  def __repr__(							self			:					Optional[Any]      )->Dict:






   '''simple docstring'''

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






  def 				UpperCAmelCase__						(							self			:					int       ,  _snake_case			:					Any      )->None:






   '''simple docstring'''

   self.insert_nth(len(self      )       ,  _snake_case      )






  def 				UpperCAmelCase__						(							self			:					Union[str, Any]       ,  _snake_case			:					Any      )->None:






   '''simple docstring'''

   self.insert_nth(0       ,  _snake_case      )






  def 				UpperCAmelCase__						(							self			:					int       ,  _snake_case			:					int       ,  _snake_case			:					Any      )->None:






   '''simple docstring'''

   if index < 0 or index > len(self      ):
    raise IndexError("""list index out of range."""      )
   __lowerCAmelCase					:	Optional[int]      =       Node(_snake_case      )
   if self.head is None:
    __lowerCAmelCase					:	str      =       new_node  # first node points itself
    __lowerCAmelCase					:	Any      =       new_node
   elif index == 0:  # insert at head
    __lowerCAmelCase					:	Optional[int]      =       self.head
    __lowerCAmelCase					:	Tuple      =       new_node
   else:
    __lowerCAmelCase					:	Dict      =       self.head
    for _ in range(index - 1      ):
     __lowerCAmelCase					:	Tuple      =       temp.next
    __lowerCAmelCase					:	List[Any]      =       temp.next
    __lowerCAmelCase					:	Tuple      =       new_node
    if index == len(self      ) - 1:  # insert at tail
     __lowerCAmelCase					:	List[Any]      =       new_node






  def 				UpperCAmelCase__						(							self			:					int      )->str:






   '''simple docstring'''

   return self.delete_nth(0      )






  def 				UpperCAmelCase__						(							self			:					Optional[Any]      )->Any:






   '''simple docstring'''

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






  def 				UpperCAmelCase__						(							self			:					int       ,  _snake_case			:					int = 0      )->Any:






   '''simple docstring'''

   if not 0 <= index < len(self      ):
    raise IndexError("""list index out of range."""      )
   __lowerCAmelCase					:	Optional[int]      =       self.head
   if self.head == self.tail:  # just one node
    __lowerCAmelCase					:	Dict      =       None
   elif index == 0:  # delete head node
    __lowerCAmelCase					:	str      =       self.tail.next.next
    __lowerCAmelCase					:	Tuple      =       self.head.next
   else:
    __lowerCAmelCase					:	int      =       self.head
    for _ in range(index - 1      ):
     __lowerCAmelCase					:	Tuple      =       temp.next
    __lowerCAmelCase					:	Union[str, Any]      =       temp.next
    __lowerCAmelCase					:	Tuple      =       temp.next.next
    if index == len(self      ) - 1:  # delete at tail
     __lowerCAmelCase					:	int      =       temp
   return delete_node.data






  def 				UpperCAmelCase__						(							self			:					Dict      )->bool:






   '''simple docstring'''

   return len(self      ) == 0






def 	_SCREAMING_SNAKE_CASE		(      )      ->   None:
 __lowerCAmelCase					:	Optional[int]      =       CircularLinkedList()
 assert len(SCREAMING_SNAKE_CASE   ) == 0
 assert circular_linked_list.is_empty() is True
 assert str(SCREAMING_SNAKE_CASE   ) == ""

 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(SCREAMING_SNAKE_CASE   ) == i
  circular_linked_list.insert_nth(SCREAMING_SNAKE_CASE   ,   i + 1   )
 assert str(SCREAMING_SNAKE_CASE   ) == "->".join(str(SCREAMING_SNAKE_CASE   ) for i in range(1   ,   6   )   )

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

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

 circular_linked_list.insert_nth(2   ,   3   )
 assert str(SCREAMING_SNAKE_CASE   ) == "->".join(str(SCREAMING_SNAKE_CASE   ) 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        snake_case_    (		__lowercase						):
  A_      							=   ['image_processor', 'tokenizer']
  A_      							=   'ChineseCLIPImageProcessor'
  A_      							=   ('BertTokenizer', 'BertTokenizerFast')






  def __init__(							self			:					Optional[Any]       ,  _snake_case			:					List[Any]=None       ,  _snake_case			:					str=None       ,  **_snake_case			:					int      )->List[str]:






   '''simple docstring'''

   __lowerCAmelCase					:	str      =       None
   if "feature_extractor" in kwargs:
    warnings.warn(
        """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
        """ instead."""       ,  _snake_case       ,  )
    __lowerCAmelCase					:	List[str]      =       kwargs.pop("""feature_extractor"""      )

   __lowerCAmelCase					:	Union[str, Any]      =       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__(_snake_case       ,  _snake_case      )
   __lowerCAmelCase					:	Any      =       self.image_processor






  def __call__(							self			:					Optional[Any]       ,  _snake_case			:					Tuple=None       ,  _snake_case			:					Tuple=None       ,  _snake_case			:					List[str]=None       ,  **_snake_case			:					Any      )->Union[str, 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					:	List[Any]      =       self.tokenizer(_snake_case       ,  return_tensors=_snake_case       ,  **_snake_case      )

   if images is not None:
    __lowerCAmelCase					:	Tuple      =       self.image_processor(_snake_case       ,  return_tensors=_snake_case       ,  **_snake_case      )

   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(**_snake_case      )       ,  tensor_type=_snake_case      )






  def 				UpperCAmelCase__						(							self			:					Optional[int]       ,  *_snake_case			:					Union[str, Any]       ,  **_snake_case			:					int      )->Optional[Any]:






   '''simple docstring'''

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






  def 				UpperCAmelCase__						(							self			:					Dict       ,  *_snake_case			:					Dict       ,  **_snake_case			:					Any      )->Dict:






   '''simple docstring'''

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






  @property
  def 				UpperCAmelCase__						(							self			:					Optional[int]      )->str:






   '''simple docstring'''

   __lowerCAmelCase					:	Tuple      =       self.tokenizer.model_input_names
   __lowerCAmelCase					:	Tuple      =       self.image_processor.model_input_names
   return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names      )      )






  @property
  def 				UpperCAmelCase__						(							self			:					Dict      )->Union[str, Any]:






   '''simple docstring'''

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