# if dist > largest: largest = dist
# if dist < smallest: smallest = dist
# #print pl.files[0].tag,pl2.files[0].tag,largest,smallest,sum/(len(pl.clusters)+ len(pl2.clusters))
# #print pl2.files[0].tag,sum/(len(pl.clusters)+ len(pl2.clusters))
# gscores.append((pl2.files[0].tag,sum/(len(pl.clusters)+ len(pl2.clusters))))
# scores[pl.files[0].tag][pl2.files[0].tag] = sum/(len(pl.clusters)+ len(pl2.clusters))
# print
# print nlargest(8,gscores,key=lambda x:x[1])
# print nsmallest(8,gscores,key=lambda x:x[1])
# print '\n***********************\n'
#
# p = PrettyPrinter(10)
# p.pprint(scores)
pl = controller.add_playlist(user, name= str(random.randint(1,1000)) )
for Files in files:
pl.add_files(Files)
print len(pl.files)
pl.start_clustering()
print pl.clusters,len(pl.files)
r = 0.0
for cl in pl.clusters:
print cl.radius
r += cl.radius
rmax = r
print '------------------------------'
print 'For ',Files[0].tag,rmax
# sum += dist
# if dist > largest: largest = dist
# if dist < smallest: smallest = dist
# #print pl.files[0].tag,pl2.files[0].tag,largest,smallest,sum/(len(pl.clusters)+ len(pl2.clusters))
# #print pl2.files[0].tag,sum/(len(pl.clusters)+ len(pl2.clusters))
# gscores.append((pl2.files[0].tag,sum/(len(pl.clusters)+ len(pl2.clusters))))
# scores[pl.files[0].tag][pl2.files[0].tag] = sum/(len(pl.clusters)+ len(pl2.clusters))
# print
# print nlargest(8,gscores,key=lambda x:x[1])
# print nsmallest(8,gscores,key=lambda x:x[1])
# print '\n***********************\n'
#
# p = PrettyPrinter(10)
# p.pprint(scores)
pl = controller.add_playlist(user, name=str(random.randint(1, 1000)))
for Files in files:
pl.add_files(Files)
print len(pl.files)
pl.start_clustering()
print pl.clusters, len(pl.files)
r = 0.0
for cl in pl.clusters:
print cl.radius
r += cl.radius
rmax = r
print '------------------------------'
print 'For ', Files[0].tag, rmax
print 'cluster==> ', len(pl.clusters), 'for ', r, '\n'
