
"""simple docstring"""






def __magic_name__  (							_lowerCamelCase:		List[Any] )				->	Any:

	'''simple docstring'''




	lowerCAmelCase				       =     len(_lowerCamelCase )
	for i in range(length - 1 ):
		lowerCAmelCase				       =     False
		for j in range(length - 1 - i ):
			if collection[j] > collection[j + 1]:
				lowerCAmelCase				       =     True
				lowerCAmelCase       ,					lowerCAmelCase				       =     collection[j + 1], collection[j]
		if not swapped:
			break  # Stop iteration if the collection is sorted.
	return collection


if __name__ == "__main__":
					import doctest
					import time

					doctest.testmod()

					UpperCAmelCase          =							input("""Enter numbers separated by a comma:""").strip()
					UpperCAmelCase          =							[int(item) for item in user_input.split(""",""")]
					UpperCAmelCase          =							time.process_time()
					print(*bubble_sort(unsorted), sep=""",""")
					print(f"""Processing time: {(time.process_time() - start)%1e9 + 7}""")




"""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


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

UpperCAmelCase          =							get_logger(__name__)


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




def __magic_name__  (							_lowerCamelCase:		dict )				->	Optional[TaskTemplate]:

	'''simple docstring'''




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


