




"""simple docstring"""







from __future__ import annotations

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

class 							snake_case_ :







   """simple docstring"""




   A_										=					('_front', '_back', '_len')

   @dataclass
   class 							snake_case_ :







      """simple docstring"""




      A_										=					None
      A_										=					None
      A_										=					None

   class 							snake_case_ :







      """simple docstring"""




      A_										=					('_cur',)







      def __init__(		self					,				lowerCamelCase_)							->      Tuple:
          UpperCamelCase										=  cur







      def __iter__(		self)							->      int:
          return self







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



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

          return val







   def __init__(		self					,				lowerCamelCase_ = None)							->      str:
       UpperCamelCase										=  None
       UpperCamelCase										=  None
       UpperCamelCase										=  0

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







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      int:
       UpperCamelCase										=  self._Node(a_					,				a_					,				a_)
       if self.is_empty():
           # front = back
           UpperCamelCase										=  UpperCamelCase										=  node
           UpperCamelCase										=  1
       else:
           # connect nodes
           UpperCamelCase										=  node
           UpperCamelCase										=  self._back
           UpperCamelCase										=  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      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      Tuple:
       UpperCamelCase										=  self._Node(a_					,				a_					,				a_)
       if self.is_empty():
           # front = back
           UpperCamelCase										=  UpperCamelCase										=  node
           UpperCamelCase										=  1
       else:
           # connect nodes
           UpperCamelCase										=  self._front
           UpperCamelCase										=  node
           UpperCamelCase										=  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      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      int:



       for val in iterable:
           self.append(a_)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      str:



       for val in iterable:
           self.appendleft(a_)







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

       UpperCamelCase										=  self._back
       UpperCamelCase										=  self._back.prev_node  # set new back
       # drop the last node - python will deallocate memory automatically
       UpperCamelCase										=  None

       self._len -= 1

       return topop.val







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

       UpperCamelCase										=  self._front
       UpperCamelCase										=  self._front.next_node  # set new front and drop the first node
       UpperCamelCase										=  None

       self._len -= 1

       return topop.val







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







   def __len__(		self)							->      List[str]:
       return self._len







   def __eq__(		self					,				lowerCamelCase_)							->      str:



       if not isinstance(a_					,				a_):
           return NotImplemented

       UpperCamelCase										=  self._front
       UpperCamelCase										=  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
           UpperCamelCase										=  me.next_node
           UpperCamelCase										=  oth.next_node

       return True







   def __iter__(		self)							->      Optional[Any]:
       return Deque._Iterator(self._front)







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

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


if __name__ == "__main__":
  import doctest

  doctest.testmod()







"""simple docstring"""







import torch

from transformers import PreTrainedModel

from .custom_configuration import CustomConfig, NoSuperInitConfig

class 							snake_case_ (				lowerCamelCase_ ):







   """simple docstring"""




   A_										=					CustomConfig







   def __init__(		self					,				lowerCamelCase_)							->      List[Any]:
       super().__init__(lowerCamelCase_)
       UpperCamelCase										=  torch.nn.Linear(config.hidden_size					,				config.hidden_size)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      Optional[Any]:
       return self.linear(lowerCamelCase_)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      List[str]:
       pass

class 							snake_case_ (				lowerCamelCase_ ):







   """simple docstring"""




   A_										=					NoSuperInitConfig







   def __init__(		self					,				lowerCamelCase_)							->      Optional[int]:
       super().__init__(lowerCamelCase_)
       UpperCamelCase										=  torch.nn.Linear(config.attribute					,				config.attribute)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      int:
       return self.linear(lowerCamelCase_)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      Any:
       pass