


'''simple docstring'''







from random import randint
from tempfile import TemporaryFile

import numpy as np



def     _UpperCamelCase				(			UpperCamelCase__  , UpperCamelCase__  , UpperCamelCase__		):






				"""simple docstring"""



				__magic_name__					:       Tuple    							=							0
				if start < end:
								__magic_name__					:       Optional[Any]    							=							randint(UpperCamelCase__  , UpperCamelCase__		)
								__magic_name__					:       Optional[Any]    							=							a[end]
								__magic_name__					:       Optional[Any]    							=							a[pivot]
								__magic_name__					:       str    							=							temp

								__magic_name__							,  __magic_name__					:       List[Any]    							=							_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     _UpperCamelCase				(			UpperCamelCase__  , UpperCamelCase__  , UpperCamelCase__		):






				"""simple docstring"""



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

				__magic_name__					:       List[str]    							=							a[new_pivot_index + 1]
				__magic_name__					:       int    							=							a[end]
				__magic_name__					:       Union[str, Any]    							=							temp
				return new_pivot_index + 1, count


_SCREAMING_SNAKE_CASE							: List[str]										=			TemporaryFile()
_SCREAMING_SNAKE_CASE							: int										=			1_00  # 1000 elements are to be sorted


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


outfile.seek(0)  # using the same array
_SCREAMING_SNAKE_CASE							: List[Any]										=			np.load(outfile)
_SCREAMING_SNAKE_CASE							: Optional[int]										=			len(M) - 1
_SCREAMING_SNAKE_CASE							: List[Any]										=			_in_place_quick_sort(M, 0, r)

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




print(z)

from __future__ import annotations


def    a      ( a	)     ->float:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE     						= 0.00
			SCREAMING_SNAKE_CASE     						= 0
			for resistor in resistors:
						if resistor <= 0:
									SCREAMING_SNAKE_CASE     						= F"""Resistor at index {index} has a negative or zero value!"""
									raise ValueError(a	)
						first_sum += 1 / float(a	)
						index += 1
			return 1 / first_sum


def    a      ( a	)     ->float:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE     						= 0.00
			SCREAMING_SNAKE_CASE     						= 0
			for resistor in resistors:
						sum_r += resistor
						if resistor < 0:
									SCREAMING_SNAKE_CASE     						= F"""Resistor at index {index} has a negative value!"""
									raise ValueError(a	)
						index += 1
			return sum_r


if __name__ == "__main__":
							import doctest

							doctest.testmod()