
def     a__			(    snake_case    ):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE     :					List[Any]			=						len(snake_case    )
  for cycle_start in range(0   ,	array_len - 1    ):
    __SCREAMING_SNAKE_CASE     :					Dict			=						array[cycle_start]

    __SCREAMING_SNAKE_CASE     :					str			=						cycle_start
    for i in range(cycle_start + 1   ,	snake_case    ):
      if array[i] < item:
        pos += 1

    if pos == cycle_start:
      continue

    while item == array[pos]:
      pos += 1

    __SCREAMING_SNAKE_CASE,						__SCREAMING_SNAKE_CASE     :					Dict			=						item, array[pos]
    while pos != cycle_start:
      __SCREAMING_SNAKE_CASE     :					Any			=						cycle_start
      for i in range(cycle_start + 1   ,	snake_case    ):
        if array[i] < item:
          pos += 1

      while item == array[pos]:
        pos += 1

      __SCREAMING_SNAKE_CASE,						__SCREAMING_SNAKE_CASE     :					Tuple			=						item, array[pos]

  return array


if __name__ == "__main__":
   assert cycle_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
   assert cycle_sort([0, 1, -10, 15, 2, -2]) == [-10, -2, 0, 1, 2, 15]


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


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

lowercase_											=	get_logger(__name__)


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


def     a__			(    snake_case    ):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE     :					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(snake_case    )}'''    )
    return None
  __SCREAMING_SNAKE_CASE     :					Any			=						NAMEaTEMPLATE.get(snake_case    )
  return template.from_dict(snake_case    )
