def calculateAllPairDistance(options):
numberOfData = options['numberOfData']
dim = options['numberOfDimension']
numberOfVP = options['numberOfVP']
cardinality = options['numberOfAlphabet']
typeOfVP = options['typeOfVP']
vps = utils.readDataFromFile(utils.getVPFileName(options))
for i in xrange(len(vps)):
for j in xrange(i+1,len(vps)):
print i,j,utils.hammingDistance(vps[i],vps[j])
def calculateAllPairDistance(options):
numberOfData = options['numberOfData']
dim = options['numberOfDimension']
numberOfVP = options['numberOfVP']
cardinality = options['numberOfAlphabet']
typeOfVP = options['typeOfVP']
vps = utils.readDataFromFile(utils.getVPFileName(options))
d = [0 for i in xrange(dim + 1)]
s = set()
for i in xrange(len(vps)):
for j in xrange(i + 1, len(vps)):
dist = utils.hammingDistance(vps[i], vps[j])
d[dist] = d[dist] + 1
s.add(dist)
print i, j, dist
for i in xrange(0, dim + 1):
print i, d[i]
print len(s)
self.x = x
self.id1 = id1
self.id2 = id2
def __lt__(self,other):
if self.x == other.x:
return self.id1 < self.id2
return self.x < other.x
if __name__ == '__main__':
options = utils.getOptions()
dataFileName = 'data/data_%d_%d_%s_%d.txt'%(options['numberOfData'],options['numberOfDimension'],options['distribution'],options['numberOfAlphabet'])
print dataFileName
datas = utils.getDataInFile(dataFileName)
filename = utils.getVPFileName(options)
print filename
with open(filename,'r') as fp:
lines = fp.read().rstrip().split('\n')
vps = []
for line in lines:
vps.append(line.rstrip().split(' '))
cc = []
for i in xrange(len(vps)):
for j in xrange(len(vps)):
if i == j:
continue
cc.append(CC(abs(utils.calculateCorrelationCoefficient(vps[i],vps[j],datas)),i,j))
cc.sort()
for i in xrange(min(4,len(cc))):
cur = -(i+1)
