'''simple docstring'''

class    lowerCamelCase__  :



   def __init__(    self					,      lowerCAmelCase__=None     )				->     List[Any]:
        """simple docstring"""





        _UpperCamelCase  :List[str]       =data
        _UpperCamelCase  :Optional[int]       =None




   def __repr__(    self     )				->     Union[str, Any]:
        """simple docstring"""





        _UpperCamelCase  :Any       =""""""
        _UpperCamelCase  :Optional[int]       =self
        while temp:
             string_rep += f'''<{temp.data}> ---> '''
             _UpperCamelCase  :int       =temp.next
        string_rep += "<END>"
        return string_rep




def  _lowerCAmelCase				(				__a      )  ->      List[str]:
     '''simple docstring'''







     if not elements_list:
          raise Exception("""The Elements List is empty"""      )

     # Set first element as Head
     _UpperCamelCase  :List[str]       =Node(elements_list[0]      )
     _UpperCamelCase  :Optional[int]       =head
     # Loop through elements from position 1
     for data in elements_list[1:]:
          _UpperCamelCase  :List[Any]       =Node(__a      )
          _UpperCamelCase  :Any       =current.next
     return head


_lowerCamelCase :				str														= [1, 3, 5, 32, 44, 12, 43]
print(f"List: {list_data}")
print("""Creating Linked List from List.""")
_lowerCamelCase :				int														= make_linked_list(list_data)
print("""Linked List:""")
print(linked_list)
'''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      )