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'' FIBER WALK DEMO The Fiber Walk class to run a Fiber Walk simulation. The demo uses: - the networkX package (http://networkx.lanl.gov/) - the numpy package (http://sourceforge.net/projects/numpy/) - the scipy package (http://www.scipy.org/SciPy) - the classes Lattice and FiberWalk written by Alexander Bucksch Note: The graphics shown in the paper where generated with mayavi2 (http://docs.enthought.com/mayavi/mayavi/index.html) The code is free for non-commercial use. Please contact the author for commercial use. Please cite the Fiber Walk Paper if you use the code for your scientific project. http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0085585 ------------------------------------------------------------------------------------------- Author: Alexander Bucksch Department of Plant Biology Warnell School of Forestry and Natural Resources Institute of Bioinformatics University of GEorgia, Athens Mail: bucksch@uga.edu Web: http://www.computational-plant-science.org ------------------------------------------------------------------------------------------- Copyright (c) 2012, 2016 Alexander Bucksch All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the Fiber Walk Demo Developers nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ''' INSTRUCTIONS Running the demo: 1.) make sure you have python 2.3, numpy 1.3, scipy 0.9 and networkX 1.7 properly installed The Demo may run with older versions, but no guarantee 2.) copy the files Lattice.py, FiberWalk.py and main.py to a folder your choice. 3.) on the command line, go to the folder of your choice 4.) type: python main.py 5.) The program generates saves plots in the creates subfolder FiberWalks and python pickles of the walk data in the folder you have chosen. 6.) Happy Walking! Changing walk parameters: 1.) open main.py in a text editor 2.) search for the following section #Fiber Walk parameters dimension = 2 # choose dimension numberOfSteps = 100 # choose the length of the walk numberOfObjects = 5 # choose number of walks to be generated numberOfContractions = 1 # choose number of contractions per step 3.) adjust the variables as you wish 4.) save the file and run the demo 5.) Happy Walking!
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The implementation of the Fiber walk, which is a self avoiding random walk model including lateral expansion
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