'''simple docstring'''

from __future__ import annotations




class    lowerCamelCase__  :



   def __init__(    self					,      lowerCAmelCase__ = 0     )				->     None:
        """simple docstring"""





        _UpperCamelCase  :int       =value
        _UpperCamelCase  :Node | None       =None
        _UpperCamelCase  :Node | None       =None




def  _lowerCAmelCase				(				__a			,      __a      )  ->      Node | None:
     '''simple docstring'''







     if treea is None:
          return treea
     if treea is None:
          return treea

     _UpperCamelCase  :Tuple       =treea.value + treea.value
     _UpperCamelCase  :Union[str, Any]       =merge_two_binary_trees(treea.left			,      treea.left      )
     _UpperCamelCase  :List[Any]       =merge_two_binary_trees(treea.right			,      treea.right      )
     return treea



def  _lowerCAmelCase				(				__a      )  ->      None:
     '''simple docstring'''







     if root:
          print(root.value      )
          print_preorder(root.left      )
          print_preorder(root.right      )


if __name__ == "__main__":
      _lowerCamelCase :				Optional[Any]														= Node(1)
      _lowerCamelCase :				str														= Node(2)
      _lowerCamelCase :				Any														= Node(3)
      _lowerCamelCase :				Union[str, Any]														= Node(4)

      _lowerCamelCase :				int														= Node(2)
      _lowerCamelCase :				Any														= Node(4)
      _lowerCamelCase :				Tuple														= Node(6)
      _lowerCamelCase :				Optional[int]														= Node(9)
      _lowerCamelCase :				Optional[int]														= Node(5)

      print("""Tree1 is: """)
      print_preorder(treea)
      print("""Tree2 is: """)
      print_preorder(treea)
      _lowerCamelCase :				Any														= merge_two_binary_trees(treea, treea)
      print("""Merged Tree is: """)
      print_preorder(merged_tree)
'''simple docstring'''

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


_lowerCamelCase :				int														= [
    """AutomaticSpeechRecognition""",
    """AudioClassification""",
    """ImageClassification""",
    """LanguageModeling""",
    """QuestionAnsweringExtractive""",
    """Summarization""",
    """TaskTemplate""",
    """TextClassification""",
]

_lowerCamelCase :				int														= get_logger(__name__)


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



def  _lowerCAmelCase				(				__a      )  ->      Optional[TaskTemplate]:
     '''simple docstring'''







     _UpperCamelCase  :List[str]       =task_template_dict.get("""task"""      )
     if task_name is None:
          logger.warning(F'''Couldn\'t find template for task \'{task_name}\'. Available templates: {list(__a      )}'''      )
          return None
     _UpperCamelCase  :List[str]       =NAMEaTEMPLATE.get(__a      )
     return template.from_dict(__a      )