Mercurial Hosting > traffic-intelligence
diff scripts/performance-lcss.py @ 998:933670761a57
updated code to python 3 (tests pass and scripts run, but non-executed parts of code are probably still not correct)
| author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
|---|---|
| date | Sun, 27 May 2018 23:22:48 -0400 |
| parents | a850a4f92735 |
| children |
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--- a/scripts/performance-lcss.py Fri May 25 18:15:18 2018 -0400 +++ b/scripts/performance-lcss.py Sun May 27 23:22:48 2018 -0400 @@ -1,4 +1,4 @@ -#! /usr/bin/env python +#! /usr/bin/env python3 import timeit @@ -6,7 +6,7 @@ number = 10 print('Default Python implementation with lambda') -print timeit.timeit('lcss.compute(random_sample(({},2)), random_sample(({}, 2)))'.format(vectorLength, vectorLength*2), setup = '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));', number = number) +print(timeit.timeit('lcss.compute(random_sample(({},2)), random_sample(({}, 2)))'.format(vectorLength, vectorLength*2), setup = '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));', number = number)) print('Using scipy distance.cdist') -print timeit.timeit('lcss.compute(random_sample(({},2)), random_sample(({}, 2)))'.format(vectorLength, vectorLength*2), setup = 'from utils import LCSS; from numpy.random import random_sample; lcss = LCSS(metric = "cityblock", epsilon = 0.1);', number = number) +print(timeit.timeit('lcss.compute(random_sample(({},2)), random_sample(({}, 2)))'.format(vectorLength, vectorLength*2), setup = 'from utils import LCSS; from numpy.random import random_sample; lcss = LCSS(metric = "cityblock", epsilon = 0.1);', number = number))