

'''simple docstring'''
from random import randint
from tempfile import TemporaryFile

import numpy as np


def        _lowerCAmelCase					(						_UpperCamelCase						:     Tuple							, _UpperCamelCase						:     Optional[Any]							, _UpperCamelCase						:     Dict				)      ->			Tuple:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =0
     if start < end:
          _SCREAMING_SNAKE_CASE							    =randint(_UpperCamelCase							, _UpperCamelCase				)
          _SCREAMING_SNAKE_CASE							    =a[end]
          _SCREAMING_SNAKE_CASE							    =a[pivot]
          _SCREAMING_SNAKE_CASE							    =temp

          _SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE							    =_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        _lowerCAmelCase					(						_UpperCamelCase						:     List[str]							, _UpperCamelCase						:     Union[str, Any]							, _UpperCamelCase						:     Tuple				)      ->			Dict:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =0
     _SCREAMING_SNAKE_CASE							    =randint(_UpperCamelCase							, _UpperCamelCase				)
     _SCREAMING_SNAKE_CASE							    =a[end]
     _SCREAMING_SNAKE_CASE							    =a[pivot]
     _SCREAMING_SNAKE_CASE							    =temp
     _SCREAMING_SNAKE_CASE							    =start - 1
     for index in range(_UpperCamelCase							, _UpperCamelCase				):
          count += 1
          if a[index] < a[end]:  # check if current val is less than pivot value
               _SCREAMING_SNAKE_CASE							    =new_pivot_index + 1
               _SCREAMING_SNAKE_CASE							    =a[new_pivot_index]
               _SCREAMING_SNAKE_CASE							    =a[index]
               _SCREAMING_SNAKE_CASE							    =temp

     _SCREAMING_SNAKE_CASE							    =a[new_pivot_index + 1]
     _SCREAMING_SNAKE_CASE							    =a[end]
     _SCREAMING_SNAKE_CASE							    =temp
     return new_pivot_index + 1, count


lowerCamelCase :      str					 =     TemporaryFile()
lowerCamelCase :      Dict					 =     1_0_0  # 1000 elements are to be sorted


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


outfile.seek(0)  # using the same array
lowerCamelCase :      Tuple					 =     np.load(outfile)
lowerCamelCase :      Dict					 =     len(M) - 1
lowerCamelCase :      Tuple					 =     _in_place_quick_sort(M, 0, r)

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







print(z)






import re

from filelock import FileLock


try:
   import nltk

   lowerCamelCase__ :   str					=							True
except (ImportError, ModuleNotFoundError):
   lowerCamelCase__ :   Union[str, Any]					=							False

if NLTK_AVAILABLE:
   with FileLock('.lock') as lock:
      nltk.download('punkt', quiet=True)

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	str							)					-> str:
      re.sub('<n>'			,			''			,			__UpperCAmelCase							)  # remove pegasus newline char
      assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
      return "\n".join(nltk.sent_tokenize(__UpperCAmelCase							)							)