Dear All, I am running debian testing (for the amd64 architecture) on my machine and I have Num(Sci)Py and matplotlib installed from standard repositories. Today, I have run again a simple code to create arrays by stitching together several copies of the same array #! /usr/bin/env python import scipy as s import numpy as n import pylab as p def replica(pos_arr, N_rep): #temp=pos_arr dim=s.shape(pos_arr) n_row=dim[0] if (len(dim)>1): n_col=dim[1] print "n_row and n_col are, ", n_row, n_col else: print "n_row is, ", n_row if (len(dim)>1): copy=s.zeros(((n_row*N_rep),n_col)) else: copy=s.zeros((n_row*N_rep)) for i in xrange(N_rep): if (len(dim)>1): copy[(i*n_row):((i+1)*n_row),:]=pos_arr else: copy[(i*n_row):((i+1)*n_row)]=pos_arr return copy eta_0=s.array([0.389,0.389,0.389,0.389,0.389,0.389,0.389,0.389]) eta_1=s.sqrt(eta_0) my_copy=replica(eta_0,200) p.save("eta_0_8_200", my_copy) my_copy=replica(eta_1,200) p.save("eta_1_8_200", my_copy) print "So far so good" However, when I run this code (replica.py) now (I have not touched this script in a while) I get the following output $ ./replica.py /usr/lib/python2.5/site-packages/scipy/misc/__init__.py:25: DeprecationWarning: NumpyTest will be removed in the next release; please update your code to use nose or unittest test = NumpyTest().test n_row is, 8 n_row is, 8 So far so good I never had that warning before. Is it anything I should be worried about? Cheers Lorenzo