
class    _UpperCamelCase:

						def __init__(					self		:			Tuple	,						_lowerCamelCase		:			Tuple			):
													_UpperCAmelCase  :			Dict	       =		data
													_UpperCAmelCase  :			int	       =		None
													_UpperCAmelCase  :			Union[str, Any]	       =		None






						def __str__(					self		:			Union[str, Any]			):
													return f"""{self.data}"""







class    _UpperCamelCase:

						def __init__(					self		:			Tuple			):
													_UpperCAmelCase  :			Optional[int]	       =		None
													_UpperCAmelCase  :			int	       =		None

						def __iter__(					self		:			str			):
													_UpperCAmelCase  :			int	       =		self.head
													while node:
																				yield node.data
																				_UpperCAmelCase  :			Union[str, Any]	       =		node.next

						def __str__(					self		:			Dict			):
													return "->".join([str(_UpperCAmelCase			) for item in self]			)

						def __len__(					self		:			Union[str, Any]			):
													return sum(1 for _ in self			)

						def 						a__ (					self		:			Optional[int]	,						_lowerCamelCase		:			List[Any]			):
													self.insert_at_nth(0	,						_UpperCAmelCase			)

						def 						a__ (					self		:			int	,						_lowerCamelCase		:			int			):
													self.insert_at_nth(len(self			)	,						_UpperCAmelCase			)

						def 						a__ (					self		:			int	,						_lowerCamelCase		:			int	,						_lowerCamelCase		:			Any			):
													_UpperCAmelCase  :			Any	       =		len(self			)

													if not 0 <= index <= length:
																				raise IndexError("list index out of range"			)
													_UpperCAmelCase  :			List[Any]	       =		Node(_UpperCAmelCase			)
													if self.head is None:
																				_UpperCAmelCase  :			Union[str, Any]	       =		new_node
													elif index == 0:
																				_UpperCAmelCase  :			Tuple	       =		new_node
																				_UpperCAmelCase  :			List[Any]	       =		self.head
																				_UpperCAmelCase  :			Optional[int]	       =		new_node
													elif index == length:
																				_UpperCAmelCase  :			Tuple	       =		new_node
																				_UpperCAmelCase  :			List[str]	       =		self.tail
																				_UpperCAmelCase  :			Optional[int]	       =		new_node
													else:
																				_UpperCAmelCase  :			Union[str, Any]	       =		self.head
																				for _ in range(0	,						_UpperCAmelCase			):
																											_UpperCAmelCase  :			Tuple	       =		temp.next
																				_UpperCAmelCase  :			List[str]	       =		new_node
																				_UpperCAmelCase  :			str	       =		temp.previous
																				_UpperCAmelCase  :			str	       =		temp
																				_UpperCAmelCase  :			Optional[Any]	       =		new_node

						def 						a__ (					self		:			Tuple			):
													return self.delete_at_nth(0			)

						def 						a__ (					self		:			Optional[Any]			):
													return self.delete_at_nth(len(self			) - 1			)

						def 						a__ (					self		:			Optional[Any]	,						_lowerCamelCase		:			int			):
													_UpperCAmelCase  :			Optional[Any]	       =		len(self			)

													if not 0 <= index <= length - 1:
																				raise IndexError("list index out of range"			)
													_UpperCAmelCase  :			int	       =		self.head  # default first node
													if length == 1:
																				_UpperCAmelCase  :			List[Any]	       =		None
													elif index == 0:
																				_UpperCAmelCase  :			int	       =		self.head.next
																				_UpperCAmelCase  :			List[Any]	       =		None
													elif index == length - 1:
																				_UpperCAmelCase  :			Any	       =		self.tail
																				_UpperCAmelCase  :			Optional[int]	       =		self.tail.previous
																				_UpperCAmelCase  :			List[str]	       =		None
													else:
																				_UpperCAmelCase  :			List[str]	       =		self.head
																				for _ in range(0	,						_UpperCAmelCase			):
																											_UpperCAmelCase  :			int	       =		temp.next
																				_UpperCAmelCase  :			Dict	       =		temp
																				_UpperCAmelCase  :			Tuple	       =		temp.previous
																				_UpperCAmelCase  :			Any	       =		temp.next
													return delete_node.data

						def 						a__ (					self		:			List[str]	,						_lowerCamelCase		:			List[str]			):
													_UpperCAmelCase  :			Dict	       =		self.head

													while current.data != data:  # Find the position to delete
																				if current.next:
																											_UpperCAmelCase  :			str	       =		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
																				_UpperCAmelCase  :			Any	       =		current.next  # 1 --> 3
																				_UpperCAmelCase  :			Optional[int]	       =		current.previous  # 1 <--> 3
													return data






						def 						a__ (					self		:			Tuple			):
													return len(self			) == 0







def 		lowerCAmelCase_     (     )   ->      None:

							"""simple docstring"""






							_UpperCAmelCase  :			Optional[Any]	       =		DoublyLinkedList()
							assert linked_list.is_empty() is True
							assert str(_SCREAMING_SNAKE_CASE  ) == ""

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

							linked_list.insert_at_head(0  )
							linked_list.insert_at_tail(1_1  )
							assert str(_SCREAMING_SNAKE_CASE  ) == "->".join(str(_SCREAMING_SNAKE_CASE  ) 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(_SCREAMING_SNAKE_CASE  ) == 9
							assert str(_SCREAMING_SNAKE_CASE  ) == "->".join(str(_SCREAMING_SNAKE_CASE  ) for i in range(1      ,	1_0  )  )


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

				testmod()






from ctypes import c_float, sizeof
from enum import Enum
from typing import TYPE_CHECKING, Optional, Union


if TYPE_CHECKING:
							from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore
class       A__  (		lowerCAmelCase__							):
							lowerCAmelCase__						:		Any            =				c_float





							@property
							def      a__					(					self    :  List[str]							)		->						int:



											"""simple docstring"""


											return sizeof(self.value							)






def 				__SCREAMING_SNAKE_CASE  (						SCREAMING_SNAKE_CASE			: int       ,				SCREAMING_SNAKE_CASE			: int       ,				SCREAMING_SNAKE_CASE			: int = 0     )	->		int:
				# < 0 is possible if using a dynamic axis
				if dimension <= 0:
								__lowercase								=   fixed_dimension

				dimension -= num_token_to_add
				return dimension




def 				__SCREAMING_SNAKE_CASE  (						SCREAMING_SNAKE_CASE			: int       ,				SCREAMING_SNAKE_CASE			: ParameterFormat     )	->		int:
				return num_parameters * dtype.size




def 				__SCREAMING_SNAKE_CASE  (						SCREAMING_SNAKE_CASE			: str     )	->		Optional[Union["AutoTokenizer", "AutoFeatureExtractor", "AutoProcessor"]]:
				from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore

				try:
								return AutoProcessor.from_pretrained(SCREAMING_SNAKE_CASE     )
				except (ValueError, OSError, KeyError):
								__lowercase						,   __lowercase								=   None, None
								try:
												__lowercase								=   AutoTokenizer.from_pretrained(SCREAMING_SNAKE_CASE     )
								except (OSError, KeyError):
												pass
								try:
												__lowercase								=   AutoFeatureExtractor.from_pretrained(SCREAMING_SNAKE_CASE     )
								except (OSError, KeyError):
												pass

								if tokenizer is not None and feature_extractor is not None:
												raise ValueError(
												    F"""Couldn't auto-detect preprocessor for {model_name}. Found both a tokenizer and a feature extractor."""     )
								elif tokenizer is None and feature_extractor is None:
												return None
								elif tokenizer is not None:
												return tokenizer
								else:
												return feature_extractor





