




from collections import namedtuple

import requests
from lxml import html  # type: ignore

lowerCAmelCase_						 =					namedtuple('covid_data', 'cases deaths recovered')






def    snake_case(							__magic_name__ = "https://www.worldometers.info/coronavirus/"       )					->				str:





     '''simple docstring'''


     lowercase   :  Optional[Any]        =					"//div[@class = \"maincounter-number\"]/span/text()"
     return covid_data(*html.fromstring(requests.get(__lowerCamelCase       ).content       ).xpath(__lowerCamelCase       )       )


lowerCAmelCase_						 =					'Total COVID-19 cases in the world: {}\nTotal deaths due to COVID-19 in the world: {}\nTotal COVID-19 patients recovered in the world: {}'



print(fmt.format(*covid_stats()))

from math import factorial


def      UpperCamelCase   (       __lowerCamelCase	:					int							,   __lowerCamelCase	:					int							,   __lowerCamelCase	:					float       ):
       if successes > trials:
              raise ValueError("successes must be lower or equal to trials"       )
       if trials < 0 or successes < 0:
              raise ValueError("the function is defined for non-negative integers"       )
       if not isinstance(__lowerCamelCase							,   __lowerCamelCase       ) or not isinstance(__lowerCamelCase							,   __lowerCamelCase       ):
              raise ValueError("the function is defined for non-negative integers"       )
       if not 0 < prob < 1:
              raise ValueError("prob has to be in range of 1 - 0"       )
       snake_case			:  Tuple     							= (prob**successes) * ((1 - prob) ** (trials - successes))
       # Calculate the binomial coefficient: n! / k!(n-k)!
       snake_case			:  str     							= float(factorial(__lowerCamelCase       )       )
       coefficient /= factorial(__lowerCamelCase       ) * factorial(trials - successes       )
       return probability * coefficient


if __name__ == "__main__":
   from doctest import testmod

   testmod()
   print("""Probability of 2 successes out of 4 trails""")
   print("""with probability of 0.75 is:""", end=""" """)
   print(binomial_distribution(2, 4, 0.75))





