import string
import numpy as np
if __name__ == '__main__':
utils.createDirectory('figure_pair')
options = utils.getOptions()
dim = options['numberOfDimension']
dataFileName = utils.getDataFileName(options)
vpFileName = utils.getVPFileName(options)
datas = utils.getDataInFile(dataFileName)
vps = utils.readDataFromFile(vpFileName)
for i in xrange(len(vps)):
for j in xrange(i+1,len(vps)):
cc = utils.calculateCorrelationCoefficient(vps[i],vps[j],datas)
cc = abs(cc)
imageFileName = utils.getFigurePairName(options,i,j,cc)
print imageFileName
if os.path.exists(imageFileName):
print '%s is exists'%imageFileName
continue
xp = []
yp = []
zp = []
zcnt = [ [ 0 for ii in xrange(dim+1) ] for jj in xrange(dim+1) ]
for k in xrange(len(datas)):
x = utils.hammingDistance(vps[i],datas[k])
y = utils.hammingDistance(vps[j],datas[k])
zcnt[y][x] = zcnt[y][x] + 1
xp.append(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)
print cc[cur].x, vps[cc[cur].id1], vps[cc[cur].id2]
print ''
for i in xrange(min(4,len(cc))):
cur = i
print cc[cur].x, vps[cc[cur].id1], vps[cc[cur].id2]
print ''
import string
import numpy as np
if __name__ == '__main__':
utils.createDirectory('figure_pair')
options = utils.getOptions()
dim = options['numberOfDimension']
dataFileName = utils.getDataFileName(options)
vpFileName = utils.getVPFileName(options)
datas = utils.getDataInFile(dataFileName)
vps = utils.readDataFromFile(vpFileName)
for i in xrange(len(vps)):
for j in xrange(i + 1, len(vps)):
cc = utils.calculateCorrelationCoefficient(vps[i], vps[j], datas)
cc = abs(cc)
imageFileName = utils.getFigurePairName(options, i, j, cc)
print imageFileName
if os.path.exists(imageFileName):
print '%s is exists' % imageFileName
continue
xp = []
yp = []
zp = []
zcnt = [[0 for ii in xrange(dim + 1)] for jj in xrange(dim + 1)]
for k in xrange(len(datas)):
x = utils.hammingDistance(vps[i], datas[k])
y = utils.hammingDistance(vps[j], datas[k])
zcnt[y][x] = zcnt[y][x] + 1
xp.append(x)
