




"""simple docstring"""


from random import randint
from tempfile import TemporaryFile

import numpy as np


def  UpperCAmelCase__	(snake_case__							: Optional[int]		,       snake_case__							: List[str]		,       snake_case__							: int   ):
  """simple docstring"""

  _snake_case							:		Dict								=  0
  if start < end:
    _snake_case							:		Tuple								=  randint(snake_case__		,       snake_case__   )
    _snake_case							:		List[Any]								=  a[end]
    _snake_case							:		Dict								=  a[pivot]
    _snake_case							:		Any								=  temp

    _snake_case							:		Tuple								=  _in_place_partition(snake_case__		,       snake_case__		,       snake_case__   )
    count += _in_place_quick_sort(snake_case__		,       snake_case__		,       p - 1   )
    count += _in_place_quick_sort(snake_case__		,       p + 1		,       snake_case__   )
  return count


def  UpperCAmelCase__	(snake_case__							: str		,       snake_case__							: Union[str, Any]		,       snake_case__							: Dict   ):
  """simple docstring"""

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

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


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


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


outfile.seek(0)  # using the same array
A_      =    np.load(outfile)
A_      =    len(M) - 1
A_      =    _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"""


def  UpperCAmelCase__	(snake_case__							: Optional[Any]   ):
  """simple docstring"""

  _snake_case							:		Union[str, Any]								=  []
  _snake_case							:		Dict								=  set({"""(""", """[""", """{"""}   )
  _snake_case							:		Union[str, Any]								=  set({""")""", """]""", """}"""}   )
  _snake_case							:		Tuple								=  {"""{""": """}""", """[""": """]""", """(""": """)"""}

  for i in range(len(snake_case__   )   ):
    if s[i] in open_brackets:
      stack.append(s[i]   )

    elif s[i] in closed_brackets and (
        len(snake_case__   ) == 0 or (len(snake_case__   ) > 0 and open_to_closed[stack.pop()] != s[i])
    ):
      return False

  return len(snake_case__   ) == 0


def  UpperCAmelCase__	():
  """simple docstring"""

  _snake_case							:		Any								=  input("""Enter sequence of brackets: """   )
  if is_balanced(snake_case__   ):
    print(snake_case__		,       """is balanced"""   )
  else:
    print(snake_case__		,       """is not balanced"""   )


if __name__ == "__main__":
     main()


