#! /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)