forked from matthewsamuel95/ACM-ICPC-Algorithms
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathfloyd_warshall.py
More file actions
31 lines (24 loc) · 738 Bytes
/
floyd_warshall.py
File metadata and controls
31 lines (24 loc) · 738 Bytes
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
import numpy as np
import random, math
def algoAllPairs(cost, A, n):
for i in range(n):
for j in range(n):
A[i][j] = cost[i][j]
for k in range(n):
for i in range(n):
for j in range(n):
A[i][j] = min(A[i][k] + A[k][j], A[i][j])
return np.matrix(A)
n = random.randint(5, 7)
e = [[0 for x in range(n)] for y in range(n)]
c = [[0 for x in range(n)] for y in range(n)]
for i in range(n):
for j in range(n):
if (i!= j):
e[i][j] = 1
c[i][j] = random.randint(10,40)
print ('Number of vertices: ', n)
print ('Edge Adjacency Matrix: \n',np.matrix(e))
print ('Cost Adjacency Matrix: \n',np.matrix(c))
A = [[0 for x in range(n)] for y in range(n)]
print ('Minimum Cost Adjacency Matrix: \n', algoAllPairs(c, A, n))