NuPIC: comparing speed-mem demands of SimpleVector encoder

results.txt

$ python VectSpeedtest.py 
Vector creation (once) took 0 sec
Processing 10000 elements in big Vector took 36 sec
Processing 10000 elements in for-loop using small Vector took 0 sec
(py27)[marek@beruska nupic]$ python VectSpeedtest.py 
Vector creation (once) took 0 sec
Processing 100000 elements in big Vector took 374 sec
Processing 100000 elements in for-loop using small Vector took 5 sec

VectorSpeedtest.py

from nupic.encoders.multi import SimpleVector as Vec
import time

mx=10**5

start=time.time()
#create big Vector
v = Vec(mx,0,100)
stop=time.time()

#create a small - single enc- Vector
v1 = Vec(1,0,100)

print("Vector creation (once) took %d sec" % (stop-start))

#create data
load=[]
for i in xrange(0,mx):
 load.append(1)


#V1: process 10^7 elements using big Vector
start=time.time()
enc=v.encode(load)
dec=v.decode(enc)
stop=time.time()

print("Processing %d elements in big Vector took %d sec" % (mx, (stop-start)))

#V2: process 10^7 elements using loop and single encoder
start=time.time()
loadd=[1]
for i in xrange(0,mx):
 enc=v1.encode(loadd)
 dec=v1.decode(enc)
stop=time.time()

print("Processing %d elements in for-loop using small Vector took %d sec" % (mx, (stop-start)))