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generate_vantage_points.py
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generate_vantage_points.py
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#!/usr/bin/python
#-*- coding:utf-8 -*-
import utils
import string
import random
def generateUniformRandomVP(numberOfDimension,numberOfAlphabet):
ret = []
alphabet = list(string.ascii_uppercase)
for i in xrange(numberOfDimension):
cur = random.randrange(0,numberOfAlphabet)
ret.append(alphabet[cur])
return ret
def generateVantagePoints(options):
dim = options['numberOfDimension']
numberOfVP = options['numberOfVP']
cardinality = options['numberOfAlphabet']
vps = []
for i in xrange(numberOfVP):
vps.append(generateUniformRandomVP(dim,cardinality))
utils.writeDataToFile('vp/vp_%d_%d_%d_random.txt'%(dim,numberOfVP,cardinality),vps)
def generateAllRandomVantagePoints(options):
dim = options['numberOfDimension']
numberOfVP = options['numberOfVP']
cardinality = options['numberOfAlphabet']
typeOfVP = options['typeOfVP']
vps = []
for i in xrange(numberOfVP):
vps.append(generateUniformRandomVP(dim,cardinality))
utils.writeDataToFile('vp/vp_%d_%d_%d_%s.txt'%(dim,numberOfVP,cardinality,typeOfVP),vps)
def generateHeuristicVantagePoints(options):
dim = options['numberOfDimension']
numberOfVP = options['numberOfVP']
cardinality = options['numberOfAlphabet']
typeOfVP = options['typeOfVP']
threshold = dim*0.4
vps = []
for i in xrange(numberOfVP):
if i == 0:
vps.append(generateUniformRandomVP(dim,cardinality))
continue
while True:
nvp = generateUniformRandomVP(dim,cardinality)
ok = True
for j in xrange(i):
dist = utils.hammingDistance(vps[j],nvp)
if dim-dist > threshold:
ok = False
break
if ok:
vps.append(nvp)
break
utils.writeDataToFile('vp/vp_%d_%d_%d_%s.txt'%(dim,numberOfVP,cardinality,typeOfVP),vps)
cornerPoints = []
def getCornerPoints(pos,vp,dim,alphabet,cardinality):
if pos == dim:
t = []
for i in xrange(len(vp)):
t.append(vp[i])
cornerPoints.append(t)
return
for i in xrange(cardinality):
vp.append(alphabet[i])
getCornerPoints(pos+1,vp,dim,alphabet,cardinality)
vp.pop(pos)
def getTotalDistance(vps,vp):
tvps = []
for i in xrange(len(vps)):
t = []
for j in xrange(len(vps[i])):
t.append(vps[i][j])
tvps.append(t)
t = []
for i in xrange(len(vp)):
t.append(vp[i])
tvps.append(t)
s = 0.0
sSquare = 0.0
n = 0
for i in xrange(len(tvps)):
for j in xrange(len(tvps)):
if i == j:
continue
dist = utils.hammingDistance(tvps[i],tvps[j])
s = s + dist
sSquare = sSquare + (dist * dist)
n = n + 1
m = float(s) / n
ret = (float(sSquare) / n) - (m*m)
return float(ret)
def getTotalCostFunction(vps,vp,base):
tvps = []
for i in xrange(len(vps)):
t = []
for j in xrange(len(vps[i])):
t.append(vps[i][j])
tvps.append(t)
t = []
for i in xrange(len(vp)):
t.append(vp[i])
tvps.append(t)
s = 0.0
sSquare = 0.0
n = 0
for i in xrange(len(tvps)):
for j in xrange(len(tvps)):
if i == j:
continue
dist = abs(base-float(utils.hammingDistance(tvps[i],tvps[j])))
s = s + dist
sSquare = sSquare + (dist * dist)
n = n + 1
return s
m = float(s) / n
ret = (float(sSquare) / n) - (m*m)
return float(ret)
def generateGreedyVantagePoints(options):
alphabet = list(string.ascii_uppercase)
dim = options['numberOfDimension']
numberOfVP = options['numberOfVP']
cardinality = options['numberOfAlphabet']
base = abs(float(dim)-float(dim)/float(cardinality))
getCornerPoints(0,[],dim,alphabet,cardinality)
vps = []
vps.append([ 'A' for i in xrange(dim) ])
#vps.append([ 'B' for i in xrange(dim) ])
#vps.append([ 'C' for i in xrange(dim) ])
#vps.append([ 'D' for i in xrange(dim) ])
for i in xrange(numberOfVP - 1):
print i
#mx, mx_idx = (0,0)
mn, mn_idx = (987654321.0,0)
for j in xrange(len(cornerPoints)):
variation = getTotalCostFunction(vps,cornerPoints[j],base)
if mn > variation:
mn, mn_idx = (variation,j)
#if mx < dist:
# mx, mx_idx = (dist,j)
print mn,mn_idx,cornerPoints[mn_idx]
vps.append(cornerPoints[mn_idx])
utils.writeDataToFile('vp/vp_%d_%d_%d_greedy.txt'%(dim,numberOfVP,cardinality),vps)
if __name__ == '__main__':
options = utils.getOptions()
utils.createDirectory('vp')
#generateVantagePoints(options)
#generateGreedyVantagePoints(options)
generateAllRandomVantagePoints(options)
#generateHeuristicVantagePoints(options)