--- a/samples/performances.txt	Mon Aug 10 17:52:19 2015 -0400
+++ b/samples/performances.txt	Tue Aug 11 10:52:04 2015 -0400
@@ -1,3 +1,9 @@
+python -m timeit 'from utils import LCSS; from numpy.random import random_sample; lcss = LCSS(metric = "cityblock", epsilon = 0.1); lcss.compute(random_sample((1000,2)), random_sample((2000, 2)))'
+10 loops, best of 3: 1.6 sec per loop
+
+python -m timeit 'from utils import LCSS; from numpy.random import random_sample; lcss = LCSS(similarityFunc = lambda x,y: (abs(x[0]-y[0]) <= 0.1) and (abs(x[1]-y[1]) <= 0.1)); lcss.compute(random_sample((1000,2)), random_sample((2000, 2)))' 
+10 loops, best of 3: 3.48 sec per loop
+########
 Performance report using ../../Data/norway/2_video/20130606-0830.sqlite
 ####
 test query positions