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-rw-r--r--test/test_emd_multi.py48
1 files changed, 0 insertions, 48 deletions
diff --git a/test/test_emd_multi.py b/test/test_emd_multi.py
deleted file mode 100644
index ee0a20e..0000000
--- a/test/test_emd_multi.py
+++ /dev/null
@@ -1,48 +0,0 @@
-#!/usr/bin/env python2
-# -*- coding: utf-8 -*-
-"""
-Created on Fri Mar 10 09:56:06 2017
-
-@author: rflamary
-"""
-
-import numpy as np
-import pylab as pl
-import ot
-
-from ot.datasets import get_1D_gauss as gauss
-reload(ot.lp)
-
-#%% parameters
-
-n=5000 # nb bins
-
-# bin positions
-x=np.arange(n,dtype=np.float64)
-
-# Gaussian distributions
-a=gauss(n,m=20,s=5) # m= mean, s= std
-
-ls= range(20,1000,10)
-nb=len(ls)
-b=np.zeros((n,nb))
-for i in range(nb):
- b[:,i]=gauss(n,m=ls[i],s=10)
-
-# loss matrix
-M=ot.dist(x.reshape((n,1)),x.reshape((n,1)))
-#M/=M.max()
-
-#%%
-
-print('Computing {} EMD '.format(nb))
-
-# emd loss 1 proc
-ot.tic()
-emd_loss4=ot.emd2(a,b,M,1)
-ot.toc('1 proc : {} s')
-
-# emd loss multipro proc
-ot.tic()
-emd_loss4=ot.emd2(a,b,M)
-ot.toc('multi proc : {} s')