print i, " : ", descriptorMapping[i]
while True:
print "----------------------------------------------------------"
#a = [0]*length
#length += 1
while True:
a = [random.randint(0, n - 1) for x in range(length)]
descriptors = createArray(a, descRange)
print descriptors,
errRay = np.array([])
for i in range(retries):
print ".",
err = sa.doClusterSounds(inputDir, numClusters, descriptors)
errRay = np.append(errRay, err)
print "\r",
print " \r",
errVerage = errRay.sum() / len(errRay)
if errVerage <= errMax:
print descriptors, "misses: ", errVerage, errRay,
print " [ ",
for d in descriptors:
print descriptorMapping[d], ", ",
print " ] "
errMax = errVerage
#if increment(a, n) == False:
debugInit = False
descriptors = createArray(a, descRange)
if increment(a, len(descRange)) == False:
done = True
desc_set = set(descriptors)
if desc_set in accomplished:
continue
accomplished.append(desc_set)
print descriptors,
errRay = np.array([])
for i in range(retries):
print ".",
err = sa.doClusterSounds(inputDir, numClusters, descriptors)
errRay = np.append(errRay, err)
print "\r",
print " \r",
errVerage = errRay.sum() / len(errRay)
if errVerage <= errMax:
print descriptors, "misses: ", errVerage, errRay,
print " [ ",
for d in descriptors:
print descriptorMapping[d], ", ",
print " ] "
errMax = errVerage
