"""simple docstring"""


from __future__ import annotations

import math
import random







def        __a (		A     ,					A     ,					A   ):






     '''simple docstring'''



     lowercase__								=				d * e - 1
     lowercase__								=				0
     lowercase__								=				0
     while p == 0:
          lowercase__								=				random.randint(2     ,					n - 1   )
          lowercase__								=				k
          while True:
               if t % 2 == 0:
                    lowercase__								=				t // 2
                    lowercase__								=				(g**t) % n
                    lowercase__								=				math.gcd(x - 1     ,					__A   )
                    if x > 1 and y > 1:
                         lowercase__								=				y
                         lowercase__								=				n // y
                         break  # find the correct factors
               else:
                    break  # t is not divisible by 2, break and choose another g
     return sorted([p, q]   )


if __name__ == "__main__":
 import doctest

 doctest.testmod()







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


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

A__										=      get_logger(__name__)


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





def 				__a							(       __A						):
    SCREAMING_SNAKE_CASE__         =    task_template_dict.get("task"						)
    if task_name is None:
        logger.warning(f"Couldn't find template for task '{task_name}'. Available templates: {list(__A						)}"						)
        return None
    SCREAMING_SNAKE_CASE__         =    NAMEaTEMPLATE.get(__A						)
    return template.from_dict(__A						)


