





'''simple docstring'''






from random import randint
from tempfile import TemporaryFile

import numpy as np
def 							_lowerCamelCase(  UpperCamelCase__    : Dict    ,       UpperCamelCase__    : Dict    ,       UpperCamelCase__    : List[Any]		)		->  str:
    A       :       str							=						0
    if start < end:
        A       :       Optional[Any]							=						randint(UpperCamelCase__    ,       UpperCamelCase__		)
        A       :       Optional[int]							=						a[end]
        A       :       List[str]							=						a[pivot]
        A       :       Dict							=						temp

        A,	A       :       str							=						_in_place_partition(UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__		)
        count += _in_place_quick_sort(UpperCamelCase__    ,       UpperCamelCase__    ,       p - 1		)
        count += _in_place_quick_sort(UpperCamelCase__    ,       p + 1    ,       UpperCamelCase__		)
    return count
def 							_lowerCamelCase(  UpperCamelCase__    : List[str]    ,       UpperCamelCase__    : Dict    ,       UpperCamelCase__    : Tuple		)		->  Optional[Any]:
    A       :       Tuple							=						0
    A       :       Optional[int]							=						randint(UpperCamelCase__    ,       UpperCamelCase__		)
    A       :       Union[str, Any]							=						a[end]
    A       :       Optional[Any]							=						a[pivot]
    A       :       Dict							=						temp
    A       :       Optional[Any]							=						start - 1
    for index in range(UpperCamelCase__    ,       UpperCamelCase__		):
        count += 1
        if a[index] < a[end]:  # check if current val is less than pivot value
            A       :       List[str]							=						new_pivot_index + 1
            A       :       Union[str, Any]							=						a[new_pivot_index]
            A       :       Optional[Any]							=						a[index]
            A       :       Optional[Any]							=						temp

    A       :       str							=						a[new_pivot_index + 1]
    A       :       Any							=						a[end]
    A       :       Optional[int]							=						temp
    return new_pivot_index + 1, count


snake_case_     =	TemporaryFile()
snake_case_     =	1_00  # 1000 elements are to be sorted


snake_case_ ,  snake_case_     =	0, 1  # mean and standard deviation
snake_case_     =	np.random.normal(mu, sigma, p)
np.save(outfile, X)
print("""The array is""")
print(X)


outfile.seek(0)  # using the same array
snake_case_     =	np.load(outfile)
snake_case_     =	len(M) - 1
snake_case_     =	_in_place_quick_sort(M, 0, r)

print(
    """No of Comparisons for 100 elements selected from a standard normal distribution"""
    """is :"""
)





print(z)







'''simple docstring'''






import requests

snake_case_     =	"""https://newsapi.org/v1/articles?source=bbc-news&sortBy=top&apiKey="""
def 							_lowerCamelCase(  UpperCamelCase__    : str		)		->  None:
    # fetching a list of articles in json format
    A       :       Any							=						requests.get(_NEWS_API + bbc_news_api_key		).json()
    # each article in the list is a dict
    for i, article in enumerate(bbc_news_page['''articles''']    ,       1		):
        print(F'''{i}.) {article['title']}'''		)


if __name__ == "__main__":
     fetch_bbc_news(bbc_news_api_key="""<Your BBC News API key goes here>""")
