📄 statistics.py
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#! /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 Hauserimport Numericdef 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)
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