





from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any



class       __lowerCAmelCase :
			lowerCamelCase_  :  Optional[Any]     =   ('_front', '_back', '_len')



			@dataclass
			class       __lowerCAmelCase :
						lowerCamelCase_  :  Any     =   None
						lowerCamelCase_  :  Deque._Node | None     =   None
						lowerCamelCase_  :  Deque._Node | None     =   None




			class       __lowerCAmelCase :
						lowerCamelCase_  :  List[Any]     =   ('_cur',)






						def __init__(self      ,							__magic_name__					)  ->     List[Any]:


										'''simple docstring'''



										snake_case_		:					int			    =						cur






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


										'''simple docstring'''



										return self






						def     lowerCamelCase						(self					)  ->     Any:


										'''simple docstring'''



										if self._cur is None:
														# finished iterating
														raise StopIteration
										snake_case_		:					Dict			    =						self._cur.val
										snake_case_		:					Dict			    =						self._cur.next_node

										return val






			def __init__(self      ,							__magic_name__ = None					)  ->     List[Any]:


							'''simple docstring'''



							snake_case_		:					Tuple			    =						None
							snake_case_		:					Optional[Any]			    =						None
							snake_case_		:					str			    =						0

							if iterable is not None:
											# append every value to the deque
											for val in iterable:
															self.append(a_					)






			def     lowerCamelCase						(self      ,							__magic_name__					)  ->     Optional[Any]:


							'''simple docstring'''



							snake_case_		:					Dict			    =						self._Node(a_      ,							a_      ,							a_					)
							if self.is_empty():
											# front = back
											snake_case_		:					int			    =						node
											snake_case_		:					str			    =						1
							else:
											# connect nodes
											snake_case_		:					int			    =						node
											snake_case_		:					Optional[Any]			    =						self._back
											snake_case_		:					Optional[int]			    =						node  # assign new back to the new node

											self._len += 1

											# make sure there were no errors
											assert not self.is_empty(), "Error on appending value."






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


							'''simple docstring'''



							snake_case_		:					Tuple			    =						self._Node(a_      ,							a_      ,							a_					)
							if self.is_empty():
											# front = back
											snake_case_		:					int			    =						node
											snake_case_		:					int			    =						1
							else:
											# connect nodes
											snake_case_		:					Dict			    =						self._front
											snake_case_		:					Dict			    =						node
											snake_case_		:					Union[str, Any]			    =						node  # assign new front to the new node

											self._len += 1

											# make sure there were no errors
											assert not self.is_empty(), "Error on appending value."






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


							'''simple docstring'''



							for val in iterable:
											self.append(a_					)






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


							'''simple docstring'''



							for val in iterable:
											self.appendleft(a_					)






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


							'''simple docstring'''



							assert not self.is_empty(), "Deque is empty."

							snake_case_		:					int			    =						self._back
							snake_case_		:					List[str]			    =						self._back.prev_node  # set new back
							# drop the last node - python will deallocate memory automatically
							snake_case_		:					Tuple			    =						None

							self._len -= 1

							return topop.val






			def     lowerCamelCase						(self					)  ->     Dict:


							'''simple docstring'''



							assert not self.is_empty(), "Deque is empty."

							snake_case_		:					Union[str, Any]			    =						self._front
							snake_case_		:					Optional[int]			    =						self._front.next_node  # set new front and drop the first node
							snake_case_		:					Dict			    =						None

							self._len -= 1

							return topop.val






			def     lowerCamelCase						(self					)  ->     Any:


							'''simple docstring'''



							return self._front is None






			def __len__(self					)  ->     Dict:


							'''simple docstring'''



							return self._len






			def __eq__(self      ,							__magic_name__					)  ->     Any:


							'''simple docstring'''



							if not isinstance(a_      ,							a_					):
											return NotImplemented

							snake_case_		:					Optional[int]			    =						self._front
							snake_case_		:					List[str]			    =						other._front

							# if the length of the dequeues are not the same, they are not equal
							if len(self					) != len(a_					):
											return False

							while me is not None and oth is not None:
											# compare every value
											if me.val != oth.val:
															return False
											snake_case_		:					int			    =						me.next_node
											snake_case_		:					Any			    =						oth.next_node

							return True






			def __iter__(self					)  ->     Optional[int]:


							'''simple docstring'''



							return Deque._Iterator(self._front					)






			def __repr__(self					)  ->     Dict:


							'''simple docstring'''



							snake_case_		:					Dict			    =						[]
							snake_case_		:					Dict			    =						self._front
							while aux is not None:
											# append the values in a list to display
											values_list.append(aux.val					)
											snake_case_		:					Dict			    =						aux.next_node

							return F'''[{", ".join(repr(a_					) for val in values_list					)}]'''


if __name__ == "__main__":
	import doctest

	doctest.testmod()









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase_												=       {'''configuration_dinat''': ['''DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DinatConfig''']}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase_												=       [
	    '''DINAT_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''DinatForImageClassification''',
	    '''DinatModel''',
	    '''DinatPreTrainedModel''',
	    '''DinatBackbone''',
	]

if TYPE_CHECKING:
	from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_dinat import (
		    DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    DinatBackbone,
		    DinatForImageClassification,
		    DinatModel,
		    DinatPreTrainedModel,
		)

else:
	import sys

	lowerCAmelCase_												=       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
