1 files changed, 0 insertions, 47 deletions
diff --git a/test/test_emd_multi.py b/test/test_emd_multi.py
deleted file mode 100644
index 2eef242..0000000
--- a/test/test_emd_multi.py
+++ /dev/null
@@ -1,47 +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 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 = np.arange(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')