Index: contrib/contribs/LundPlane/trunk/example.py
===================================================================
--- contrib/contribs/LundPlane/trunk/example.py	(revision 1301)
+++ contrib/contribs/LundPlane/trunk/example.py	(revision 1302)
@@ -1,84 +1,84 @@
 #!/usr/bin/env python3
 #
 #----------------------------------------------------------------------
 # $Id$
 #
 # Copyright (c) 2018-, Frederic A. Dreyer, Keith Hamilton, Alexander Karlberg,
 # Gavin P. Salam, Ludovic Scyboz, Gregory Soyez, Rob Verheyen
 #
 #----------------------------------------------------------------------
 # This file is part of FastJet contrib.
 #
 # It 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.
 #
 # It 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 code. If not, see <http://www.gnu.org/licenses/>.
 #----------------------------------------------------------------------
 #
 # Load a sample file and plot it.
 #
 # Usage:
-#   python3 plot_lund.py [--file filename] [--bkg file_bkg]
-#                        [--njet njet]  [--npxl npixels]
+#   python3 example.py [--file filename] [--bkg file_bkg]
+#                      [--njet njet]  [--npxl npixels]
 #
 
 import read_lund_json as lund
 #from  import LundImage
 from matplotlib.colors import LogNorm
 import numpy as np
 import matplotlib.pyplot as plt
 import argparse
 
 parser = argparse.ArgumentParser(description='Plot lund images')
 parser.add_argument('--file', action = 'store', default = 'jets.json')
 parser.add_argument('--njet', type   = int,     default = 2,  help='Maximum number of jets to analyse')
 parser.add_argument('--npxl', type   = int,     default = 25, help="Number of pixels in each dimension of the image")
 
 args = parser.parse_args()
 
 # set up the reader and get array from file
 xval   = [0.0, 3.0]
 yval   = [-3.0, 5.0]
 
 # start by creating a reader for the json file produced by example.cc
 # (one json entry per line, correspond to one jet per json entry)
 reader = lund.Reader(args.file, args.njet)
 
 # Then examine the jets it contains
 print ("Contents of the file", args.file)
 for jet in reader:
     # jet is an array of declusterings.
     # The jet's pt can be obtained by looking at the first declustering (jet[0])
     # and extracting the subjet-pair pt ("p_pt")
     print("  Jet with pt = {:6.1f} GeV with {:3d} primary Lund-plane declusterings".format(jet[0]["p_pt"], len(jet)))
 print()
 
 # Reset the reader to the start and use it with a helper
 # class to extract an image for each jet
 reader.reset()
 image_generator = lund.LundImage(reader, args.njet, args.npxl, xval, yval)
 images = image_generator.values()
 
 # Get the average of the images
 print("Now creating average lund image from the {} jets".format(len(images)))
 avg_img = np.average(images,axis=0)
 
 # Plot the result
 fig=plt.figure(figsize=(6, 4.5))
 plt.title('Averaged Lund image')
 plt.xlabel('$\ln(R / \Delta)$')
 plt.ylabel('$\ln(k_t / \mathrm{GeV})$')
 plt.imshow(avg_img.transpose(), origin='lower', aspect='auto',
            extent=xval+yval, cmap=plt.get_cmap('BuPu'))
 plt.colorbar()
 
 print("Close the viewer window to exit")
 plt.show()
Index: contrib/contribs/LundPlane/trunk/ChangeLog
===================================================================
--- contrib/contribs/LundPlane/trunk/ChangeLog	(revision 1301)
+++ contrib/contribs/LundPlane/trunk/ChangeLog	(revision 1302)
@@ -1,54 +1,60 @@
+2021-12-06  Gavin Salam  <gavin.salam@physics.ox.ac.uk>
+
+	* example.py:
+	fixed name of executable in comments about how to execute
+	this (thanks to Matteo Cacciari)
+
 2021-11-09  Ludovic Scyboz <ludovic.scyboz@physics.ox.ac.uk>
 
 	* VERSION:
 	preparing for release of 2.0.0
 
 	* RecursiveLundEEGenerator.hh:
 	* RecursiveLundEEGenerator.cc:
 	class for recursive Lund declustering in e+e-
 	* example_dpsi_collinear.cc:
 	spin-sensitive collinear observable from 2103.16526
 	* example_dpsi_slice.cc:
 	spin-sensitive non-global observable from 2111.01161
 
 2020-02-23  Gavin Salam  <gavin.salam@cern.ch>
 
 	* NEWS:
 	* VERSION:
 	preparing for release of 1.0.3
 
 	* example.cc:
 	changed outfile open(filename) to outfile.open(filename.c_str());
 	to attempt to solve issue reported by Steven Schramm.
 
 2018-10-26  Gavin Salam <gavin.salam@cern.ch>
 
 	* read_lund_json.py:
 	removed extraneous normalisation of zeroth bin in
 	the LundImage class.
 	Added documentation.
 
 
 2018-08-30  Gavin Salam  <gavin.salam@cern.ch>
 
 	* VERSION: 
 	* NEWS:
 
 	Release of version 1.0.1
 
 2018-08-23  Gavin Salam  <gavin.salam@cern.ch>
 
 	* LundWithSecondary.hh:
 	* LundWithSecondary.cc:
 	added secondary_index(...), removed virtual qualifier from various
 	functions
 
 	* example_secondary.cc:
 	* example_secondary.ref:
 	example now prints out index of the primary declustering being
 	used for the secondary. Referemce file updated accordingly.
 
 2018-08-09  Frédéric Dreyer  <fdreyer@mit.edu>
 
 	First version of LundPlane.