main.py
1.43 KB
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
from structure import *
import sys
Tf = [] #cells table
testSample = RSSVector(-26, -42, -13, -46)
testSample2 = RSSVector(-26, -42, -13, -46)
testSample3 = RSSVector(-26, -42, -13, -46)
testSamples = []
testSamples.extend([testSample, testSample2, testSample3])
#cells Table initialization
for i in range (0, 3):
Tf.append([])
for k in range (0,3):
Tf[i].append([])
#known fingerprints
Tf[0][0] = Cell(RSSVector(-38,-27,-54,-13), Location(2,2))
Tf[0][1] = Cell(RSSVector(-74,-62,-48,-33), Location(2,6))
Tf[0][2] = Cell(RSSVector(-13,-28,-12,-40), Location(2,10))
Tf[1][0] = Cell(RSSVector(-34,-27,-38,-41), Location(6,2))
Tf[1][1] = Cell(RSSVector(-64,-48,-72,-35), Location(6,6))
Tf[1][2] = Cell(RSSVector(-45,-37,-20,-15), Location(6,10))
Tf[2][0] = Cell(RSSVector(-17,-50,-44,-33), Location(10,2))
Tf[2][1] = Cell(RSSVector(-27,-28,-32,-45), Location(10,6))
Tf[2][2] = Cell(RSSVector(-30,-20,-60,-40), Location(10,10))
def main(args):
#### K neighbours ####
print("\nk neighbors of test sample : ")
neighborsCells = KNeighbors(Tf, testSample)
for k in neighborsCells:
print("(", k.location.x, ";", k.location.y, ")")
#### Distances ####
print ("\ndistances : " + str(testSample.distances))
#### Barycenter ####
a = resolve_barycenter(neighborsCells, testSample)
print(a.toString())
#### Markov ####
return 0;
main(sys.argv)