#! /usr/bin/env python2.2 # distcc/benchmark -- automated system for testing distcc correctness # and performance on various source trees. # Copyright (C) 2003 by Martin Pool # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License as # published by the Free Software Foundation; either version 2 of the # License, or (at your option) any later version. # This program is distributed in the hope that it will be useful, but # WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # General Public License for more details. # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 # USA # Based in part on http://starship.python.net/crew/jhauser/NumAdd.py.html by Janko Hauser import Numeric def var(m): """ Variance of m. """ if len(m) < 2: return None mu = Numeric.average(m) return (Numeric.add.reduce(Numeric.power(Numeric.ravel(m)-mu, 2)) / (len(m)-1.)) def std(m): """ Standard deviation of m. """ v = var(m) return v and Numeric.sqrt(v) def mean(m): return Numeric.average(m)