def process(cls,nrels=1,*args,**kwargs):
w=World()
cls.idx=load_index.__call__((cls.idx.root_class if hasattr(cls.idx,"root_class") else cls.idx.__class__),cls.index_filename)
w.app=cls
w.nq=int(cls.number_query.value)
idb=iter(cls.vdb)
w.explore_nn(idb.next())
#run()
while True:
if (daemon):
daemon.handleRequests(0.01)
taskMgr.step()
w.app=None
def process(cls,nrels=1,*args,**kwargs):
cls.idx=load_index.__call__((cls.idx.root_class if hasattr(cls.idx,"root_class") else cls.idx.__class__),cls.index_filename)
delay=float(cls.delay.value)
cls.mdl.print_tree()
nq=int(cls.number_query.value)
bv=int(cls.block.value)
d=[ (mm[0],mm[1]) for mm in cls.mmeta.items() ]
qmw=QtGui.QMainWindow()
qv=QtNearestNeighborsViewerDialog(d[0],nq,bv,qmw)
qv.show()
qapp.processEvents()
idb=iter(cls.vdb)
try:
while True:
e=[ idb.next() for i in range(bv) ]
keys=cls.mdl.process_path(map(lambda f:f[0],e),map(lambda f:f[1],e),cls.key.value,lambda x:x)
#print keys
#for c in keys:
if True:
## compute nearest neighbours
#pycvf_warning( "keysKEYSkeys:"+str( keys))
#time.sleep(0.5)
keys=numpy.array(keys)
l=cls.idx.getitems(keys,nq) # get the nearest element for the keys
## Extract nearest neighbours value from database
#pycvf_warning( "resultRESULTresult:"+str( l))
#time.sleep(5.5)
xxx=map (lambda y:map(lambda x:(cls.vdb[x[0][0]],x[1]),y),l)
## Display the results
qv.push((map(lambda f:f[0],e),xxx))
qapp.processEvents()
#print c
if (delay):
for i in range(int(delay*50)):
qapp.processEvents()
time.sleep(0.02)
except StopIteration,e:
print e
