-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathquicksortmedian.py
64 lines (45 loc) · 1.32 KB
/
quicksortmedian.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
__author__ = 'TARUNCH'
import random
import time
def insertion( A ,left,right):
for i in range( left+1, right+1,1 ):
tmp = A[i]
k = i
while k > 0 and tmp < A[k - 1]:
A[k] = A[k - 1]
k -= 1
A[k] = tmp
return A
def median(A, left, right):
center = (left + right) // 2
if (A[center] < A[left]):
A[center], A[left] = A[left], A[center]
if (A[right] < A[left]):
A[left], A[right] = A[right], A[left]
if (A[right] < A[center]):
A[center], A[right] = A[right], A[center]
A[center], A[right - 1] = A[right - 1], A[center]
return right - 1
def quicksort(A, left, right):
if left<right:
if left + 15 <= right:
j = split(A, left, right)
quicksort(A, left, j - 1)
quicksort(A, j + 1, right)
else:
insertion(A,left,right,)
def split(A, left, right):
pivot = A[median(A, left, right)]
i = left - 1
for k in range(left, right - 1, 1):
if A[k] <= pivot:
i = i + 1
A[i], A[k] = A[k], A[i]
A[i + 1], A[right - 1] = A[right - 1], A[i + 1]
return i + 1
A = random.sample(range(1, 10000), 9999)
A.sort(reverse=True)
st = time.time()
quicksort(A, 0, len(A) - 1)
#print A
print("time", (time.time()-st)*1000)