
'''simple docstring'''





from random import randint
from tempfile import TemporaryFile

import numpy as np
def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase							,   UpperCamelCase							,   UpperCamelCase      ):



    """simple docstring"""





    lowerCAmelCase__			:  Optional[Any]											= 0
    if start < end:
        lowerCAmelCase__			:  List[Any]											= randint(SCREAMING_SNAKE_CASE_							,   SCREAMING_SNAKE_CASE_      )
        lowerCAmelCase__			:  Union[str, Any]											= a[end]
        lowerCAmelCase__			:  Union[str, Any]											= a[pivot]
        lowerCAmelCase__			:  str											= temp

        lowerCAmelCase__				,       lowerCAmelCase__			:  Union[str, Any]											= _in_place_partition(SCREAMING_SNAKE_CASE_							,   SCREAMING_SNAKE_CASE_							,   SCREAMING_SNAKE_CASE_      )
        count += _in_place_quick_sort(SCREAMING_SNAKE_CASE_							,   SCREAMING_SNAKE_CASE_							,   p - 1      )
        count += _in_place_quick_sort(SCREAMING_SNAKE_CASE_							,   p + 1							,   SCREAMING_SNAKE_CASE_      )
    return count
def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase							,   UpperCamelCase							,   UpperCamelCase      ):



    """simple docstring"""





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

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


_lowerCAmelCase										=     TemporaryFile()
_lowerCAmelCase										=     100  # 1000 elements are to be sorted


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


outfile.seek(0)  # using the same array
_lowerCAmelCase										=     np.load(outfile)
_lowerCAmelCase										=     len(M) - 1
_lowerCAmelCase										=     _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 copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union






@dataclass
class 	lowerCAmelCase_:
  '''simple docstring'''




  __lowercase							:				Optional[Union[str, Path]]           =				None
  __lowercase							:				bool           =				False
  __lowercase							:				bool           =				False
  __lowercase							:				bool           =				False
  __lowercase							:				Optional[Dict]           =				None
  __lowercase							:				Optional[str]           =				None
  __lowercase							:				bool           =				False
  __lowercase							:				bool           =				False
  __lowercase							:				bool           =				False
  __lowercase							:				bool           =				True
  __lowercase							:				Optional[int]           =				None
  __lowercase							:				int           =				1
  __lowercase							:				Optional[Union[str, bool]]           =				None
  __lowercase							:				bool           =				False
  __lowercase							:				Optional[Dict]           =				None
  __lowercase							:				Optional[str]           =				None




  def 							UpperCAmelCase_     (   self				)   ->		"DownloadConfig":
      return self.__class__(**{k: copy.deepcopy(__UpperCAmelCase				) for k, v in self.__dict__.items()}				)


