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diff --git a/share/extensions/jitternodes.py b/share/extensions/jitternodes.py
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+#!/usr/bin/env python
+'''
+Copyright (C) 2012 Juan Pablo Carbajal ajuanpi-dev@gmail.com
+Copyright (C) 2005 Aaron Spike, aaron@ekips.org
+
+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 3 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., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
+'''
+import random, math, inkex, cubicsuperpath
+
+def randomize((x, y), rx, ry, dist):
+
+ if dist == "Gaussian":
+ r1 = random.gauss(0.0,rx)
+ r2 = random.gauss(0.0,ry)
+ elif dist == "Pareto":
+ '''
+ sign is used ot fake a double sided pareto distribution.
+ for parameter value between 1 and 2 the distribution has infinite variance
+ I truncate the distribution to a high value and then normalize it.
+ The idea is to get spiky distributions, any distribution with long-tails is
+ good (ideal would be Levy distribution).
+ '''
+ sign = random.uniform(-1.0,1.0)
+
+ r1 = min(random.paretovariate(1.0), 20.0)/20.0
+ r2 = min(random.paretovariate(1.0), 20.0)/20.0
+
+ r1 = rx * math.copysign(r1, sign)
+ r2 = ry * math.copysign(r2, sign)
+ elif dist == "Lognorm":
+ sign = random.uniform(-1.0,1.0)
+ r1 = rx * math.copysign(random.lognormvariate(0.0,1.0)/3.5,sign)
+ r2 = ry * math.copysign(random.lognormvariate(0.0,1.0)/3.5,sign)
+ elif dist == "Uniform":
+ r1 = random.uniform(-rx,rx)
+ r2 = random.uniform(-ry,ry)
+
+ x += r1
+ y += r2
+
+ return [x, y]
+
+class JitterNodes(inkex.Effect):
+ def __init__(self):
+ inkex.Effect.__init__(self)
+ self.OptionParser.add_option("--title")
+ self.OptionParser.add_option("-x", "--radiusx",
+ action="store", type="float",
+ dest="radiusx", default=10.0,
+ help="Randomly move nodes and handles within this radius, X")
+ self.OptionParser.add_option("-y", "--radiusy",
+ action="store", type="float",
+ dest="radiusy", default=10.0,
+ help="Randomly move nodes and handles within this radius, Y")
+ self.OptionParser.add_option("-c", "--ctrl",
+ action="store", type="inkbool",
+ dest="ctrl", default=True,
+ help="Randomize control points")
+ self.OptionParser.add_option("-e", "--end",
+ action="store", type="inkbool",
+ dest="end", default=True,
+ help="Randomize nodes")
+ self.OptionParser.add_option("-d", "--dist",
+ action="store", type="string",
+ dest="dist", default="Uniform",
+ help="Choose the distribution of the displacements")
+ self.OptionParser.add_option("--tab",
+ action="store", type="string",
+ dest="tab",
+ help="The selected UI-tab when OK was pressed")
+
+ def effect(self):
+ for id, node in self.selected.iteritems():
+ if node.tag == inkex.addNS('path','svg'):
+ d = node.get('d')
+ p = cubicsuperpath.parsePath(d)
+ for subpath in p:
+ for csp in subpath:
+ if self.options.end:
+ delta=randomize([0,0], self.options.radiusx, self.options.radiusy, self.options.dist)
+ csp[0][0]+=delta[0]
+ csp[0][1]+=delta[1]
+ csp[1][0]+=delta[0]
+ csp[1][1]+=delta[1]
+ csp[2][0]+=delta[0]
+ csp[2][1]+=delta[1]
+ if self.options.ctrl:
+ csp[0]=randomize(csp[0], self.options.radiusx, self.options.radiusy, self.options.dist)
+ csp[2]=randomize(csp[2], self.options.radiusx, self.options.radiusy, self.options.dist)
+ node.set('d',cubicsuperpath.formatPath(p))
+
+if __name__ == '__main__':
+ e = JitterNodes()
+ e.affect()
+
+
+# vim: expandtab shiftwidth=4 tabstop=8 softtabstop=4 fileencoding=utf-8 textwidth=99