





from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any
class 							snake_case_		:
		lowerCamelCase     :Optional[Any]							=  ("""_front""", """_back""", """_len""")
		@dataclass
		class 							snake_case_		:
				lowerCamelCase     :Any							=  None
				lowerCamelCase     :Deque._Node | None							=  None
				lowerCamelCase     :Deque._Node | None							=  None

		class 							snake_case_		:
				lowerCamelCase     :Tuple							=  ("""_cur""",)







				def __init__(		self      ,  __lowercase )					-> Tuple:
						lowerCamelCase :			Union[str, Any]    		=cur







				def __iter__(		self )					-> int:
						return self







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


						if self._cur is None:
								# finished iterating
								raise StopIteration
						lowerCamelCase :			Union[str, Any]    		=self._cur.val
						lowerCamelCase :			Union[str, Any]    		=self._cur.next_node

						return val







		def __init__(		self      ,  __lowercase = None )					-> Optional[int]:
				lowerCamelCase :			List[Any]    		=None
				lowerCamelCase :			Optional[Any]    		=None
				lowerCamelCase :			Optional[Any]    		=0

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







		def       __lowercase (		self      ,  __lowercase )					-> Any:
				lowerCamelCase :			Any    		=self._Node(__UpperCamelCase      ,  __UpperCamelCase      ,  __UpperCamelCase )
				if self.is_empty():
						# front = back
						lowerCamelCase :			Optional[int]    		=node
						lowerCamelCase :			str    		=1
				else:
						# connect nodes
						lowerCamelCase :			Tuple    		=node
						lowerCamelCase :			Optional[int]    		=self._back
						lowerCamelCase :			str    		=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       __lowercase (		self      ,  __lowercase )					-> Optional[int]:
				lowerCamelCase :			List[Any]    		=self._Node(__UpperCamelCase      ,  __UpperCamelCase      ,  __UpperCamelCase )
				if self.is_empty():
						# front = back
						lowerCamelCase :			Union[str, Any]    		=node
						lowerCamelCase :			Tuple    		=1
				else:
						# connect nodes
						lowerCamelCase :			Union[str, Any]    		=self._front
						lowerCamelCase :			str    		=node
						lowerCamelCase :			List[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       __lowercase (		self      ,  __lowercase )					-> Optional[int]:


				for val in iterable:
						self.append(__UpperCamelCase )







		def       __lowercase (		self      ,  __lowercase )					-> str:


				for val in iterable:
						self.appendleft(__UpperCamelCase )







		def       __lowercase (		self )					-> Dict:
				assert not self.is_empty(), "Deque is empty."

				lowerCamelCase :			Any    		=self._back
				lowerCamelCase :			str    		=self._back.prev_node  # set new back
				# drop the last node - python will deallocate memory automatically
				lowerCamelCase :			Union[str, Any]    		=None

				self._len -= 1

				return topop.val







		def       __lowercase (		self )					-> Optional[Any]:
				assert not self.is_empty(), "Deque is empty."

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

				self._len -= 1

				return topop.val







		def       __lowercase (		self )					-> Tuple:
				return self._front is None







		def __len__(		self )					-> Dict:
				return self._len







		def __eq__(		self      ,  __lowercase )					-> List[Any]:


				if not isinstance(__UpperCamelCase      ,  __UpperCamelCase ):
						return NotImplemented

				lowerCamelCase :			Optional[Any]    		=self._front
				lowerCamelCase :			List[str]    		=other._front

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

				while me is not None and oth is not None:
						# compare every value
						if me.val != oth.val:
								return False
						lowerCamelCase :			List[Any]    		=me.next_node
						lowerCamelCase :			List[Any]    		=oth.next_node

				return True







		def __iter__(		self )					-> str:
				return Deque._Iterator(self._front )







		def __repr__(		self )					-> Union[str, Any]:
				lowerCamelCase :			Any    		=[]
				lowerCamelCase :			int    		=self._front
				while aux is not None:
						# append the values in a list to display
						values_list.append(aux.val )
						lowerCamelCase :			Optional[Any]    		=aux.next_node

				return F"[{', '.join(repr(__UpperCamelCase ) 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


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


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _A							=       [
          '''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

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



