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author | klarlund <klarlund@gmail.com> | 2008-03-28 02:48:48 +0000 |
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committer | klarlund <klarlund@gmail.com> | 2008-03-28 02:48:48 +0000 |
commit | d6532ae1d997a31884a67c51ec2bc75756242eed (patch) | |
tree | 995faab42744ddcb755996469397b865b88cc048 /distcc/bench/statistics.py | |
download | distcc-git-d6532ae1d997a31884a67c51ec2bc75756242eed.tar.gz |
Initial submission @6805748, not fully baked yet.
Diffstat (limited to 'distcc/bench/statistics.py')
-rwxr-xr-x | distcc/bench/statistics.py | 47 |
1 files changed, 47 insertions, 0 deletions
diff --git a/distcc/bench/statistics.py b/distcc/bench/statistics.py new file mode 100755 index 0000000..1565752 --- /dev/null +++ b/distcc/bench/statistics.py @@ -0,0 +1,47 @@ +#! /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) |