
import random





class 				UpperCamelCase__		:






       """simple docstring"""


       def __init__(							self ,     _A ,     _A	)				->				Dict:
          SCREAMING_SNAKE_CASE_	=      x
          SCREAMING_SNAKE_CASE_	=      y



       def     _UpperCamelCase	(							self	)				->				int:
          return (self.x**2 + self.y**2) <= 1




       @classmethod
       def     _UpperCamelCase	(							cls	)				->				str:
          return cls(x=random.random() ,     y=random.random()	)







def  A__ (       __lowerCamelCase						):


   if number_of_simulations < 1:
      raise ValueError('''At least one simulation is necessary to estimate PI.'''						)

   SCREAMING_SNAKE_CASE_	=      0
   for _ in range(_SCREAMING_SNAKE_CASE						):
      SCREAMING_SNAKE_CASE_	=      Point.random_unit_square()

      if random_point.is_in_unit_circle():
         number_in_unit_circle += 1

   return 4 * number_in_unit_circle / number_of_simulations


if __name__ == "__main__":
   # import doctest

   # doctest.testmod()
   from math import pi

   __UpperCAmelCase   						=     "Please enter the desired number of Monte Carlo simulations: "
   __UpperCAmelCase   						=     estimate_pi(int(input(prompt).strip()))
   print(F"""An estimate of PI is {my_pi} with an error of {abs(my_pi - pi)}""")





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__	:   int								=     [
    "AutomaticSpeechRecognition",
    "AudioClassification",
    "ImageClassification",
    "LanguageModeling",
    "QuestionAnsweringExtractive",
    "Summarization",
    "TaskTemplate",
    "TextClassification",
]

UpperCamelCase__	:   Any								=     get_logger(__name__)


UpperCamelCase__	:   Union[str, Any]								=     {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}


def        _UpperCAmelCase							(	_SCREAMING_SNAKE_CASE       :		dict							):





    """simple docstring"""


    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(_SCREAMING_SNAKE_CASE							)}"""							)
        return None
    SCREAMING_SNAKE_CASE_						=    NAMEaTEMPLATE.get(_SCREAMING_SNAKE_CASE							)
    return template.from_dict(_SCREAMING_SNAKE_CASE							)


