gecko-dev/tools/footprint/linear-regression.awk

93 строки
2.8 KiB
Awk
Executable File

# ***** BEGIN LICENSE BLOCK *****
# Version: MPL 1.1/GPL 2.0/LGPL 2.1
#
# The contents of this file are subject to the Mozilla Public License Version
# 1.1 (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
# http://www.mozilla.org/MPL/
#
# Software distributed under the License is distributed on an "AS IS" basis,
# WITHOUT WARRANTY OF ANY KIND, either express or implied. See the License
# for the specific language governing rights and limitations under the
# License.
#
# The Original Code is linear-regression.awk, released
# November 13, 2000.
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 2000
# the Initial Developer. All Rights Reserved.
#
# Contributor(s):
# Chris Waterson <waterson@netscape.com>
#
# Alternatively, the contents of this file may be used under the terms of
# either the GNU General Public License Version 2 or later (the "GPL"), or
# the GNU Lesser General Public License Version 2.1 or later (the "LGPL"),
# in which case the provisions of the GPL or the LGPL are applicable instead
# of those above. If you wish to allow use of your version of this file only
# under the terms of either the GPL or the LGPL, and not to allow others to
# use your version of this file under the terms of the MPL, indicate your
# decision by deleting the provisions above and replace them with the notice
# and other provisions required by the GPL or the LGPL. If you do not delete
# the provisions above, a recipient may use your version of this file under
# the terms of any one of the MPL, the GPL or the LGPL.
#
# ***** END LICENSE BLOCK *****
function regress(DATAPOINTS,SX,SY,SXY,SX2)
{
b1 = (DATAPOINTS * SXY - SX * SY) / (DATAPOINTS * SX2 - SX * SX);
b0 = (SY - b1 * SX ) / DATAPOINTS;
return b1 " * x + " b0;
}
BEGIN {
if (!Skip) Skip = 0;
if (Interval)
{
Count = 0;
IntervalCount = 0;
}
}
NR>Skip {
sx += $1;
sy += $2;
sxy += $1 * $2;
sx2 += $1 * $1;
#print NR " " sx " " sy " " sxy " " sx2
if (Interval)
{
if(Count == Interval-1)
{
IntervalCount += 1;
print NR-Count, "-", NR, ": ", regress(Count,isx,isy,isxy,isx2);
Count = 0;
isx = 0;
isy = 0;
isxy = 0;
isx2 = 0;
}
else
{
Count += 1;
isx += $1;
isy += $2;
isxy += $1 * $2;
isx2 += $1 * $1;
}
}
}
END {
if(Interval) {
print NR-Count, "-", NR, ": ", regress(Count,isx,isy,isxy,isx2);
}
print regress(NR-Skip, sx, sy, sxy, sx2);
}