
"""simple docstring"""






import warnings
from contextlib import contextmanager

from ...processing_utils import ProcessorMixin

class 				__a    (   lowerCAmelCase__					):



							'''simple docstring'''







							_lowerCamelCase				: Union[str, Any]					      =      ["""image_processor""", """tokenizer"""]
							_lowerCamelCase				: Any					      =      """AutoImageProcessor"""
							_lowerCamelCase				: str					      =      """AutoTokenizer"""
							def __init__(    self     ,						_lowerCamelCase=None     ,						_lowerCamelCase=None     ,						**_lowerCamelCase					) ->       Optional[Any]:




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

										__lowercase						      =					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__(lowerCAmelCase_     ,						lowerCAmelCase_					)
										__lowercase						      =					self.image_processor
										__lowercase						      =					False
							def __call__(    self     ,						*_lowerCamelCase     ,						**_lowerCamelCase					) ->       str:




										'''simple docstring'''






										if self._in_target_context_manager:
													return self.current_processor(*lowerCAmelCase_     ,						**lowerCAmelCase_					)

										__lowercase						      =					kwargs.pop("images"     ,						lowerCAmelCase_					)
										__lowercase						      =					kwargs.pop("text"     ,						lowerCAmelCase_					)
										if len(lowerCAmelCase_					) > 0:
													__lowercase						      =					args[0]
													__lowercase						      =					args[1:]

										if images is None and text is None:
													raise ValueError("You need to specify either an `images` or `text` input to process."					)

										if images is not None:
													__lowercase						      =					self.image_processor(lowerCAmelCase_     ,						*lowerCAmelCase_     ,						**lowerCAmelCase_					)
										if text is not None:
													__lowercase						      =					self.tokenizer(lowerCAmelCase_     ,						**lowerCAmelCase_					)

										if text is None:
													return inputs
										elif images is None:
													return encodings
										else:
													__lowercase						      =					encodings["input_ids"]
													return inputs
							def      SCREAMING_SNAKE_CASE	(    self     ,						*_lowerCamelCase     ,						**_lowerCamelCase					) ->       Dict:




										'''simple docstring'''
										return self.tokenizer.batch_decode(*lowerCAmelCase_     ,						**lowerCAmelCase_					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						*_lowerCamelCase     ,						**_lowerCamelCase					) ->       int:




										'''simple docstring'''
										return self.tokenizer.decode(*lowerCAmelCase_     ,						**lowerCAmelCase_					)
							@contextmanager
							def      SCREAMING_SNAKE_CASE	(    self					) ->       List[Any]:




										'''simple docstring'''
										warnings.warn(
										    "`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your "
										    "labels by using the argument `text` of the regular `__call__` method (either in the same call as "
										    "your images inputs, or in a separate call."					)
										__lowercase						      =					True
										__lowercase						      =					self.tokenizer
										yield
										__lowercase						      =					self.image_processor
										__lowercase						      =					False
							@property
							def      SCREAMING_SNAKE_CASE	(    self					) ->       Optional[int]:




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





							@property
							def      SCREAMING_SNAKE_CASE	(    self					) ->       Tuple:




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







"""simple docstring"""






class 				__a    :



							'''simple docstring'''







							def __init__(    self     ,						_lowerCamelCase					) ->       Optional[Any]:




										'''simple docstring'''
										__lowercase						      =					data
										__lowercase						      =					None
										__lowercase						      =					None





							def __str__(    self					) ->       str:




										'''simple docstring'''
										return f'''{self.data}'''





class 				__a    :



							'''simple docstring'''







							def __init__(    self					) ->       List[str]:




										'''simple docstring'''
										__lowercase						      =					None
										__lowercase						      =					None
							def __iter__(    self					) ->       int:




										'''simple docstring'''
										__lowercase						      =					self.head
										while node:
													yield node.data
													__lowercase						      =					node.next
							def __str__(    self					) ->       Union[str, Any]:




										'''simple docstring'''
										return "->".join([str(_lowerCamelCase					) for item in self]					)
							def __len__(    self					) ->       Dict:




										'''simple docstring'''
										return sum(1 for _ in self					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       Union[str, Any]:




										'''simple docstring'''
										self.insert_at_nth(0     ,						_lowerCamelCase					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       List[str]:




										'''simple docstring'''
										self.insert_at_nth(len(self					)     ,						_lowerCamelCase					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase     ,						_lowerCamelCase					) ->       List[Any]:




										'''simple docstring'''
										__lowercase						      =					len(self					)

										if not 0 <= index <= length:
													raise IndexError("list index out of range"					)
										__lowercase						      =					Node(_lowerCamelCase					)
										if self.head is None:
													__lowercase						      =					__lowercase						      =					new_node
										elif index == 0:
													__lowercase						      =					new_node
													__lowercase						      =					self.head
													__lowercase						      =					new_node
										elif index == length:
													__lowercase						      =					new_node
													__lowercase						      =					self.tail
													__lowercase						      =					new_node
										else:
													__lowercase						      =					self.head
													for _ in range(0     ,						_lowerCamelCase					):
																__lowercase						      =					temp.next
													__lowercase						      =					new_node
													__lowercase						      =					temp.previous
													__lowercase						      =					temp
													__lowercase						      =					new_node
							def      SCREAMING_SNAKE_CASE	(    self					) ->       Any:




										'''simple docstring'''
										return self.delete_at_nth(0					)
							def      SCREAMING_SNAKE_CASE	(    self					) ->       str:




										'''simple docstring'''
										return self.delete_at_nth(len(self					) - 1					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       str:




										'''simple docstring'''
										__lowercase						      =					len(self					)

										if not 0 <= index <= length - 1:
													raise IndexError("list index out of range"					)
										__lowercase						      =					self.head  # default first node
										if length == 1:
													__lowercase						      =					__lowercase						      =					None
										elif index == 0:
													__lowercase						      =					self.head.next
													__lowercase						      =					None
										elif index == length - 1:
													__lowercase						      =					self.tail
													__lowercase						      =					self.tail.previous
													__lowercase						      =					None
										else:
													__lowercase						      =					self.head
													for _ in range(0     ,						_lowerCamelCase					):
																__lowercase						      =					temp.next
													__lowercase						      =					temp
													__lowercase						      =					temp.previous
													__lowercase						      =					temp.next
										return delete_node.data
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       str:




										'''simple docstring'''
										__lowercase						      =					self.head

										while current.data != data:  # Find the position to delete
													if current.next:
																__lowercase						      =					current.next
													else:  # We have reached the end an no value matches
																raise ValueError("No data matching given value"					)

										if current == self.head:
													self.delete_head()

										elif current == self.tail:
													self.delete_tail()

										else:  # Before: 1 <--> 2(current) <--> 3
													__lowercase						      =					current.next  # 1 --> 3
													__lowercase						      =					current.previous  # 1 <--> 3
										return data





							def      SCREAMING_SNAKE_CASE	(    self					) ->       Union[str, Any]:




										'''simple docstring'''
										return len(self					) == 0





def     lowerCAmelCase__ (		)	->None:
			__lowercase						      =					DoublyLinkedList()
			assert linked_list.is_empty() is True
			assert str(__magic_name__			) == ""

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

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

			for i in range(1_0			):
						assert len(__magic_name__			) == i
						linked_list.insert_at_nth(__magic_name__ ,      i + 1			)
			assert str(__magic_name__			) == "->".join(str(__magic_name__			) for i in range(1 ,      1_1			)			)

			linked_list.insert_at_head(0			)
			linked_list.insert_at_tail(1_1			)
			assert str(__magic_name__			) == "->".join(str(__magic_name__			) for i in range(0 ,      1_2			)			)

			assert linked_list.delete_head() == 0
			assert linked_list.delete_at_nth(9			) == 1_0
			assert linked_list.delete_tail() == 1_1
			assert len(__magic_name__			) == 9
			assert str(__magic_name__			) == "->".join(str(__magic_name__			) for i in range(1 ,      1_0			)			)


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

					testmod()





