




from __future__ import annotations

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

class   UpperCAmelCase    :
   __SCREAMING_SNAKE_CASE		:				Tuple      					=       ("_front", "_back", "_len")

   @dataclass
   class   UpperCAmelCase    :
      __SCREAMING_SNAKE_CASE		:				Any      					=       None
      __SCREAMING_SNAKE_CASE		:				Deque._Node | None      					=       None
      __SCREAMING_SNAKE_CASE		:				Deque._Node | None      					=       None

   class   UpperCAmelCase    :
      __SCREAMING_SNAKE_CASE		:				List[str]      					=       ("_cur",)






      def __init__(						self :							List[Any]    ,       UpperCamelCase_ :							Deque._Node | None  )->      None:
        _lowercase:			List[Any]      =     cur






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






      def 			_a    (						self :							Optional[Any]  )->      Any:
        if self._cur is None:
          # finished iterating
          raise StopIteration
        _lowercase:			Optional[Any]      =     self._cur.val
        _lowercase:			Dict      =     self._cur.next_node

        return val






   def __init__(						self :							Dict    ,       UpperCamelCase_ :							Iterable[Any] | None = None  )->      None:
     _lowercase:			Any      =     None
     _lowercase:			Any      =     None
     _lowercase:			int      =     0

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






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






   def 			_a    (						self :							Any    ,       UpperCamelCase_ :							Iterable[Any]  )->      None:
     for val in iterable:
       self.appendleft(UpperCamelCase_  )






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

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

     self._len -= 1

     return topop.val






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

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

     self._len -= 1

     return topop.val






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






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






   def __eq__(						self :							Dict    ,       UpperCamelCase_ :							object  )->      bool:

     if not isinstance(UpperCamelCase_    ,       UpperCamelCase_  ):
       return NotImplemented

     _lowercase:			List[str]      =     self._front
     _lowercase:			Tuple      =     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
       _lowercase:			Optional[Any]      =     me.next_node
       _lowercase:			Union[str, Any]      =     oth.next_node

     return True






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






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

from ..utils.logging import get_logger
from .audio_classificiation import AudioClassification
from .automatic_speech_recognition import AutomaticSpeechRecognition
from .base import TaskTemplate
from .image_classification import ImageClassification
from .language_modeling import LanguageModeling
from .question_answering import QuestionAnsweringExtractive
from .summarization import Summarization
from .text_classification import TextClassification


UpperCAmelCase__    :							Tuple       		=     [
    'AutomaticSpeechRecognition',
    'AudioClassification',
    'ImageClassification',
    'LanguageModeling',
    'QuestionAnsweringExtractive',
    'Summarization',
    'TaskTemplate',
    'TextClassification',
]

UpperCAmelCase__    :							Tuple       		=     get_logger(__name__)


UpperCAmelCase__    :							List[Any]       		=     {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}


def 		_lowerCamelCase					(       UpperCamelCase				)      ->		Optional[TaskTemplate]:





  """simple docstring"""





  _lowercase:			Union[str, Any]      =     task_template_dict.get('task'				)
  if task_name is None:
    logger.warning(F'Couldn\'t find template for task \'{task_name}\'. Available templates: {list(UpperCamelCase				)}'				)
    return None
  _lowercase:			int      =     NAMEaTEMPLATE.get(UpperCamelCase				)
  return template.from_dict(UpperCamelCase				)
