algorithm-in-python/sort/quickSort.py
2019-05-23 23:51:44 +08:00

132 lines
3.6 KiB
Python

''' mbinary
#########################################################################
# File : quickSort.py
# Author: mbinary
# Mail: zhuheqin1@gmail.com
# Blog: https://mbinary.xyz
# Github: https://github.com/mbinary
# Created Time: 2018-07-06 10:31
# Description:
#########################################################################
'''
def quickSort(lst):
'''A optimized version of Hoare partition'''
def partition(a, b):
pivot = lst[a]
while a != b:
while a < b and lst[b] > pivot:
b -= 1
if a < b:
lst[a] = lst[b]
a += 1
while a < b and lst[a] < pivot:
a += 1
if a < b:
lst[b] = lst[a]
b -= 1
lst[a] = pivot
return a
def _sort(a, b):
if a >= b: return
mid = (a + b) // 2
# 三数取中值置于第一个作为 pivot
if (lst[a] < lst[mid]) ^ (lst[b] < lst[mid]):
lst[a], lst[mid] = lst[mid], lst[a] # lst[mid] 为中值
if (lst[a] < lst[b]) ^ (lst[b] > lst[mid]):
lst[a], lst[b] = lst[b], lst[a] # lst[b] 为中值
i = partition(a, b)
_sort(a, i - 1)
_sort(i + 1, b)
_sort(0, len(lst) - 1)
return lst
def quickSort2(lst):
'''A version of partition from <Introduction of Algorithm>, a little bit slow'''
def partition(a, b):
pivot = lst[b]
j = a - 1
for i in range(a, b):
if lst[i] <= pivot:
j += 1
if i != j: lst[i], lst[j] = lst[j], lst[i]
lst[j + 1], lst[b] = lst[b], lst[j + 1]
return j + 1
def _sort(a, b):
if a >= b: return
mid = (a + b) // 2
# 三数取中值置于第一个作为 pivot
if (lst[a] < lst[mid]) ^ (lst[b] < lst[mid]):
lst[b], lst[mid] = lst[mid], lst[b] # lst[mid] 为中值
if (lst[a] > lst[b]) ^ (lst[a] > lst[mid]):
lst[a], lst[b] = lst[b], lst[a] # lst[b] 为中值
i = partition(a, b)
_sort(a, i - 1)
_sort(i + 1, b)
_sort(0, len(lst) - 1)
return lst
def quickSort3(lst):
'''A rear recursive optimization version'''
def partition(a, b):
pivot = lst[b]
j = a - 1
for i in range(a, b):
if lst[i] <= pivot:
j += 1
if i != j: lst[i], lst[j] = lst[j], lst[i]
lst[j + 1], lst[b] = lst[b], lst[j + 1]
return j + 1
def _sort(a, b):
while a < b:
mid = (a + b) // 2
# 三数取中值置于第一个作为 pivot
if (lst[a] < lst[mid]) ^ (lst[b] < lst[mid]):
lst[b], lst[mid] = lst[mid], lst[b] # lst[mid] 为中值
if (lst[a] > lst[b]) ^ (lst[a] > lst[mid]):
lst[a], lst[b] = lst[b], lst[a] # lst[b] 为中值
i = partition(a, b)
_sort(a, i - 1)
a = i + 1
_sort(0, len(lst) - 1)
return lst
from time import time
def timer(func, lst, n=100):
t = time()
for i in range(n):
func(lst)
t = time() - t
print('{}: {}s'.format(func.__name__, t))
return t
if __name__ == '__main__':
from random import randint
print('5000 items, repeat 100 times for each')
lst = [randint(0, 100) for i in range(5000)]
timer(quickSort, lst.copy())
timer(quickSort2, lst.copy())
timer(quickSort3, lst.copy())
lst = [randint(0, 100) for i in range(15)]
print(lst)
print(quickSort(lst.copy()))
print(quickSort2(lst.copy()))
print(quickSort3(lst.copy()))