

"""simple docstring"""





from random import randint
from tempfile import TemporaryFile

import numpy as np

def   __SCREAMING_SNAKE_CASE  (      A_						,     A_						,     A_ ):
	lowerCAmelCase__	:						Any  				=	0
	if start < end:
		lowerCAmelCase__	:						str  				=	randint(A_						,     A_ )
		lowerCAmelCase__	:						Optional[int]  				=	a[end]
		lowerCAmelCase__	:						str  				=	a[pivot]
		lowerCAmelCase__	:						Union[str, Any]  				=	temp

		lowerCAmelCase__				,lowerCAmelCase__	:						int  				=	_in_place_partition(A_						,     A_						,     A_ )
		count += _in_place_quick_sort(A_						,     A_						,     p - 1 )
		count += _in_place_quick_sort(A_						,     p + 1						,     A_ )
	return count

def   __SCREAMING_SNAKE_CASE  (      A_						,     A_						,     A_ ):
	lowerCAmelCase__	:						Any  				=	0
	lowerCAmelCase__	:						Optional[int]  				=	randint(A_						,     A_ )
	lowerCAmelCase__	:						List[Any]  				=	a[end]
	lowerCAmelCase__	:						Optional[Any]  				=	a[pivot]
	lowerCAmelCase__	:						Union[str, Any]  				=	temp
	lowerCAmelCase__	:						Dict  				=	start - 1
	for index in range(A_						,     A_ ):
		count += 1
		if a[index] < a[end]:  # check if current val is less than pivot value
			lowerCAmelCase__	:						Optional[Any]  				=	new_pivot_index + 1
			lowerCAmelCase__	:						Tuple  				=	a[new_pivot_index]
			lowerCAmelCase__	:						Any  				=	a[index]
			lowerCAmelCase__	:						List[Any]  				=	temp

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


__UpperCamelCase  :      List[str]							      =		TemporaryFile()
__UpperCamelCase  :      int							      =		1_0_0  # 1000 elements are to be sorted


__UpperCamelCase      ,    __UpperCamelCase  :      Optional[int]							      =		0, 1  # mean and standard deviation
__UpperCamelCase  :      Dict							      =		np.random.normal(mu, sigma, p)
np.save(outfile, X)
print('''The array is''')
print(X)


outfile.seek(0)  # using the same array
__UpperCamelCase  :      Optional[int]							      =		np.load(outfile)
__UpperCamelCase  :      List[str]							      =		len(M) - 1
__UpperCamelCase  :      Union[str, Any]							      =		_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 os
from collections.abc import Iterator

def   __SCREAMING_SNAKE_CASE  (      A_ = "." ):
	for dir_path, dir_names, filenames in os.walk(A_ ):
		lowerCAmelCase__	:						str  				=	[d for d in dir_names if d != '''scripts''' and d[0] not in '''._''']
		for filename in filenames:
			if filename == "__init__.py":
				continue
			if os.path.splitext(A_ )[1] in (".py", ".ipynb"):
				yield os.path.join(A_						,     A_ ).lstrip('''./''' )

def   __SCREAMING_SNAKE_CASE  (      A_ ):
	return f'{i * "  "}*' if i else "\n##"

def   __SCREAMING_SNAKE_CASE  (      A_						,     A_ ):
	lowerCAmelCase__	:						Optional[Any]  				=	old_path.split(os.sep )
	for i, new_part in enumerate(new_path.split(os.sep ) ):
		if (i + 1 > len(A_ ) or old_parts[i] != new_part) and new_part:
			print(f'{md_prefix(A_ )} {new_part.replace("_"						,     " " ).title()}' )
	return new_path

def   __SCREAMING_SNAKE_CASE  (      A_ = "." ):
	lowerCAmelCase__	:						Any  				=	''''''
	for filepath in sorted(good_file_paths(A_ ) ):
		lowerCAmelCase__				,lowerCAmelCase__	:						str  				=	os.path.split(A_ )
		if filepath != old_path:
			lowerCAmelCase__	:						str  				=	print_path(A_						,     A_ )
		lowerCAmelCase__	:						str  				=	(filepath.count(os.sep ) + 1) if filepath else 0
		lowerCAmelCase__	:						Union[str, Any]  				=	f'{filepath}/{filename}'.replace(''' '''						,     '''%20''' )
		lowerCAmelCase__	:						List[str]  				=	os.path.splitext(filename.replace('''_'''						,     ''' ''' ).title() )[0]
		print(f'{md_prefix(A_ )} [{filename}]({url})' )


if __name__ == "__main__":
							print_directory_md('''.''')




