






from random import randint
from tempfile import TemporaryFile

import numpy as np







def 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase ,   __lowerCAmelCase ,   __lowerCAmelCase      )			->     Tuple:
     UpperCamelCase__      :       str	    =  0
     if start < end:
          UpperCamelCase__      :       Tuple	    =  randint(__lowerCAmelCase ,   __lowerCAmelCase      )
          UpperCamelCase__      :       int	    =  a[end]
          UpperCamelCase__      :       List[str]	    =  a[pivot]
          UpperCamelCase__      :       Union[str, Any]	    =  temp

          UpperCamelCase__    ,					UpperCamelCase__      :       Union[str, Any]	    =  _in_place_partition(__lowerCAmelCase ,   __lowerCAmelCase ,   __lowerCAmelCase      )
          count += _in_place_quick_sort(__lowerCAmelCase ,   __lowerCAmelCase ,   p - 1      )
          count += _in_place_quick_sort(__lowerCAmelCase ,   p + 1 ,   __lowerCAmelCase      )
     return count







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

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


lowerCamelCase     :							Union[str, Any]    =TemporaryFile()
lowerCamelCase     :							Any    =100  # 1000 elements are to be sorted


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


outfile.seek(0)  # using the same array
lowerCamelCase     :							str    =np.load(outfile)
lowerCamelCase     :							List[Any]    =len(M) - 1
lowerCamelCase     :							List[str]    =_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 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase ,   __lowerCAmelCase      )			->     bool:
     if len(__lowerCAmelCase      ) == 0:
          return False
     UpperCamelCase__      :       Any	    =  len(__lowerCAmelCase      ) // 2
     if a_list[midpoint] == item:
          return True
     if item < a_list[midpoint]:
          return binary_search(a_list[:midpoint] ,   __lowerCAmelCase      )
     else:
          return binary_search(a_list[midpoint + 1 :] ,   __lowerCAmelCase      )


if __name__ == "__main__":
 lowerCamelCase     :							Any    =input('''Enter numbers separated by comma:\n''').strip()
 lowerCamelCase     :							Dict    =[int(item.strip()) for item in user_input.split(''',''')]
 lowerCamelCase     :							List[str]    =int(input('''Enter the number to be found in the list:\n''').strip())
 lowerCamelCase     :							Union[str, Any]    ='''''' if binary_search(sequence, target) else '''not '''
 print(F"""{target} was {not_str}found in {sequence}""")