
def       _lowercase					(      __SCREAMING_SNAKE_CASE )	->     list:
			UpperCamelCase__    :		List[Any]     =				1.3
			UpperCamelCase__    :		Any     =				len(__SCREAMING_SNAKE_CASE )
			UpperCamelCase__    :		Optional[Any]     =				False

			while not completed:
						# Update the gap value for a next comb
						UpperCamelCase__    :		int     =				int(gap / shrink_factor )
						if gap <= 1:
									UpperCamelCase__    :		List[Any]     =				True

						UpperCamelCase__    :		Optional[Any]     =				0
						while index + gap < len(__SCREAMING_SNAKE_CASE ):
									if data[index] > data[index + gap]:
												# Swap values
												UpperCamelCase__   ,			UpperCamelCase__    :		Optional[int]     =				data[index + gap], data[index]
												UpperCamelCase__    :		Union[str, Any]     =				False
									index += 1

			return data


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							UpperCAmelCase__				:  Tuple       					=				input('''Enter numbers separated by a comma:\n''').strip()
							UpperCAmelCase__				:  Any       					=				[int(item) for item in user_input.split(''',''')]
							print(comb_sort(unsorted))





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__				:  Dict       					=				get_logger(__name__)


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



def       _lowercase					(      __SCREAMING_SNAKE_CASE )	->     Optional[TaskTemplate]:
			UpperCamelCase__    :		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(__SCREAMING_SNAKE_CASE )}""" )
						return None
			UpperCamelCase__    :		Any     =				NAMEaTEMPLATE.get(__SCREAMING_SNAKE_CASE )
			return template.from_dict(__SCREAMING_SNAKE_CASE )



