

def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							int )     -> int:




				'''simple docstring'''





				if not isinstance(SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_ ):
								raise TypeError("recursive_lucas_number accepts only integer arguments." )
				if n_th_number == 0:
								return 2
				if n_th_number == 1:
								return 1

				return recursive_lucas_number(n_th_number - 1 ) + recursive_lucas_number(
				    n_th_number - 2 )



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							int )     -> int:




				'''simple docstring'''





				if not isinstance(SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_ ):
								raise TypeError("dynamic_lucas_number accepts only integer arguments." )
				A__      ,			A__            =     2, 1
				for _ in range(SCREAMING_SNAKE_CASE_ ):
								A__      ,			A__            =     b, a + b
				return a


if __name__ == "__main__":
	from doctest import testmod

	testmod()
	lowerCAmelCase__						=	int(input("""Enter the number of terms in lucas series:\n""").strip())
	print("""Using recursive function to calculate lucas series:""")
	print(""" """.join(str(recursive_lucas_number(i)) for i in range(n)))
	print("""\nUsing dynamic function to calculate lucas series:""")
	print(""" """.join(str(dynamic_lucas_number(i)) for i in range(n)))




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__						=	[
    """AutomaticSpeechRecognition""",
    """AudioClassification""",
    """ImageClassification""",
    """LanguageModeling""",
    """QuestionAnsweringExtractive""",
    """Summarization""",
    """TaskTemplate""",
    """TextClassification""",
]

lowerCAmelCase__						=	get_logger(__name__)


lowerCAmelCase__						=	{
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							dict )     -> Optional[TaskTemplate]:




				'''simple docstring'''





				A__            =     task_template_dict.get("task" )
				if task_name is None:
								logger.warning(F'Couldn\'t find template for task \'{task_name}\'. Available templates: {list(SCREAMING_SNAKE_CASE_ )}' )
								return None
				A__            =     NAMEaTEMPLATE.get(SCREAMING_SNAKE_CASE_ )
				return template.from_dict(SCREAMING_SNAKE_CASE_ )

