
from __future__ import annotations

import math
from itertools import permutations


def     a__			(    snake_case    ):





  """simple docstring"""

  if 1 < number < 4:
    # 2 and 3 are primes
    return True
  elif number < 2 or number % 2 == 0 or number % 3 == 0:
    # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
    return False

  # All primes number are in format of 6k +/- 1
  for i in range(5   ,	int(math.sqrt(snake_case    ) + 1    )   ,	6    ):
    if number % i == 0 or number % (i + 2) == 0:
      return False
  return True


def     a__			(    snake_case = 7    ):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE     :					Optional[int]			=						''''''.join(str(snake_case    ) for i in range(1   ,	n + 1    )    )
  __SCREAMING_SNAKE_CASE     :					str			=						[int(''''''.join(snake_case    )    ) for i in permutations(snake_case   ,	snake_case    )]
  __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						[num for num in perm_list if is_prime(snake_case    )]
  return max(snake_case    ) if pandigitals else 0


if __name__ == "__main__":
   print(f'''{solution() = }''')


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    )
