




'''simple docstring'''







from __future__ import annotations

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







class 				_a   :





     '''simple docstring'''



     lowerCAmelCase_     :    List[str]									=				("""_front""", """_back""", """_len""")







     @dataclass
     class 				_a   :





          '''simple docstring'''



          lowerCAmelCase_     :    Any									=				None
          lowerCAmelCase_     :    Deque._Node | None									=				None
          lowerCAmelCase_     :    Deque._Node | None									=				None







     class 				_a   :





          '''simple docstring'''



          lowerCAmelCase_     :    str									=				("""_cur""",)







          def __init__(							self       ,__a       )			->							None:
               snake_case :			List[Any]					   = cur







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







          def  snake_case_			(							self       )			->							Any:
               if self._cur is None:
                    # finished iterating
                    raise StopIteration
               snake_case :			Union[str, Any]					   = self._cur.val
               snake_case :			Optional[int]					   = self._cur.next_node

               return val







     def __init__(							self       ,__a = None       )			->							None:
          snake_case :			Any					   = None
          snake_case :			Any					   = None
          snake_case :			int					   = 0

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







     def  snake_case_			(							self       ,__a       )			->							None:
          snake_case :			Tuple					   = self._Node(__a       ,__a       ,__a       )
          if self.is_empty():
               # front = back
               snake_case :			Dict					   = node
               snake_case :			List[str]					   = 1
          else:
               # connect nodes
               snake_case :			Union[str, Any]					   = node
               snake_case :			Tuple					   = self._back
               snake_case :			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  snake_case_			(							self       ,__a       )			->							None:
          snake_case :			str					   = self._Node(__a       ,__a       ,__a       )
          if self.is_empty():
               # front = back
               snake_case :			Optional[Any]					   = node
               snake_case :			int					   = 1
          else:
               # connect nodes
               snake_case :			Optional[Any]					   = self._front
               snake_case :			List[str]					   = 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  snake_case_			(							self       ,__a       )			->							None:
          for val in iterable:
               self.append(__a       )







     def  snake_case_			(							self       ,__a       )			->							None:
          for val in iterable:
               self.appendleft(__a       )







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

          snake_case :			Dict					   = self._back
          snake_case :			int					   = self._back.prev_node  # set new back
          # drop the last node - python will deallocate memory automatically
          snake_case :			Optional[int]					   = None

          self._len -= 1

          return topop.val







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

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

          self._len -= 1

          return topop.val







     def  snake_case_			(							self       )			->							bool:
          return self._front is None







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







     def __eq__(							self       ,__a       )			->							bool:

          if not isinstance(__a       ,__a       ):
               return NotImplemented

          snake_case :			List[str]					   = self._front
          snake_case :			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 :			List[Any]					   = me.next_node
               snake_case :			int					   = oth.next_node

          return True







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







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

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


if __name__ == "__main__":
      import doctest

      doctest.testmod()









'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


lowercase			:      Tuple			=					{"""configuration_bert_generation""": ["""BertGenerationConfig"""]}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase			:      Tuple			=					["""BertGenerationTokenizer"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase			:      List[Any]			=					[
          """BertGenerationDecoder""",
          """BertGenerationEncoder""",
          """BertGenerationPreTrainedModel""",
          """load_tf_weights_in_bert_generation""",
      ]


if TYPE_CHECKING:
      from .configuration_bert_generation import BertGenerationConfig

      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_bert_generation import BertGenerationTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_bert_generation import (
                BertGenerationDecoder,
                BertGenerationEncoder,
                BertGenerationPreTrainedModel,
                load_tf_weights_in_bert_generation,
            )

else:
      import sys

      lowercase			:      Optional[Any]			=					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



