In [2]:

    

import os 
os.getcwd()


    

    
Out[2]:





'/home/psenin/git/saxpy/jupyter'

In [3]:

    

os.chdir("/home/psenin/git/saxpy")
import numpy as np
from saxpy.distance import euclidean
from saxpy.distance import early_abandoned_dist


    

In [10]:

    

%timeit euclidean(np.array([1., 1.]), np.array([2., 2.]))


    

    




7.13 µs ± 21.6 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)

In [13]:

    

early_abandoned_dist(np.array([1., 1.]), np.array([2., 2.]), 1)


    

    
Out[13]:





nan

In [15]:

    

a = np.array([0.5, 0.8, 0.9])
b = np.array([-0.15, 0.38, 0.92])
%timeit euclidean(a, b)


    

    




5.17 µs ± 242 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)

In [17]:

    

%timeit early_abandoned_dist(a, b, 1)


    

    




3.77 µs ± 222 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)

In [18]:

    

%timeit early_abandoned_dist(a, b, np.inf)


    

    




3.39 µs ± 17.8 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)

In [21]:

    

early_abandoned_dist(a, b, 0.1)


    

    
Out[21]:





nan