From 439d05bd4269e4fdfc950427606a84f79dc993e1 Mon Sep 17 00:00:00 2001
From: Paul Romano <paul.k.romano@gmail.com>
Date: Wed, 20 Aug 2014 23:03:41 -0400
Subject: [PATCH] Remove eigenfunction_rms.py script.

---
 src/utils/eigenfunction_rms.py | 161 ---------------------------------
 1 file changed, 161 deletions(-)
 delete mode 100644 src/utils/eigenfunction_rms.py

diff --git a/src/utils/eigenfunction_rms.py b/src/utils/eigenfunction_rms.py
deleted file mode 100644
index b0883d8dbb..0000000000
--- a/src/utils/eigenfunction_rms.py
+++ /dev/null
@@ -1,161 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import print_function
-
-import os
-import sys
-
-import numpy as np
-
-import statepoint
-
-def main(tally_id, score_id, batch_start, batch_end, name):
-  # read in statepoint header data
-  sp = statepoint.StatePoint('statepoint.ref.binary')
-
-  # read in results
-  sp.read_results()
-
-  # extract reference mean
-  mean_ref = extract_mean(sp, tally_id, score_id)
-
-  # write gnuplot file
-  write_src_gnuplot('testsrc_pin','Pin mesh',mean_ref,np.size(mean_ref,0))
-
-  # preallocate arrays
-  hists = np.zeros(batch_end - batch_start + 1)
-  norms = np.zeros(batch_end - batch_start + 1)
-
-  i = batch_start
-  while i <= batch_end:
-
-    # process statepoint
-    sp = statepoint.StatePoint('statepoint.'+str(i)+'.binary')
-    sp.read_results()
-
-    # extract mean
-    mean = extract_mean(sp, tally_id, score_id)
-
-    # calculate L2 norm
-    norm = np.linalg.norm(mean - mean_ref)
-
-    # get history information
-    n_inactive = sp.n_inactive
-    current_batch = sp.current_batch
-    n_particles = sp.n_particles
-    gen_per_batch = sp.gen_per_batch
-    n_histories = (current_batch - n_inactive)*n_particles*gen_per_batch
-
-    # batch in vectors
-    hists[i - batch_start] = n_histories
-    norms[i - batch_start] = norm
-
-    # print
-    print('Batch: {0} Histories: {1} Norm: {2}'.format(i, n_histories, norm))
-
-    i += 1
-
-  # write out gnuplot file
-  write_norm_gnuplot(name,hists,norms,np.size(hists))
-
-def extract_mean(sp, tally_id,score_id):
-
-  # extract results
-  results = sp.extract_results(tally_id,score_id)
-
-  # extract means and copy
-  mean = results['mean'].copy()
-
-  # reshape and integrate over energy
-  mean = mean.reshape(results['bin_max'],order='F')
-  mean = np.sum(mean,0)
-  mean = np.sum(mean,0)
-  mean = mean/mean.sum()*(mean > 1.e-8).sum()
-
-  return mean
-
-def write_norm_gnuplot(path,xdat,ydat,size):
-
-  # Header String for GNUPLOT
-  headerstr = """#!/usr/bin/env gnuplot
-
-set terminal pdf enhanced
-set output '{output}'
-set ylabel 'L-2 norm'
-set xlabel 'Histories'
-set log x
-set log y
-""".format(output=path+'.pdf')
-
-  # Write out the plot string
-  pltstr = "plot '-' using 1:2 with lines"
-
-  # Write out the data string
-  i = 0
-  datastr = ''
-  while i < size:
-    datastr = datastr + '{0} {1}\n'.format(xdat[i],ydat[i])
-    i += 1
-
-  # Concatenate all
-  outstr = headerstr + '\n' + pltstr + '\n' + datastr
-
-  # Write File
-  with open(path+".plot",'w') as f:
-    f.write(outstr)
-
-  # Run GNUPLOT
-  os.system('gnuplot ' + path+".plot")
-
-def write_src_gnuplot(path,name,src,size):
-
-  # Header String for GNUPLOT
-  headerstr = """#!/usr/bin/env gnuplot
-
-set terminal pdf enhanced
-set output '{output}'
-set palette defined (0 '#000090', 1 '#000fff', 2 '#0090ff', 3 '#0fffee', 4 '#90ff70', 5 '#ffee00', 6 '#ff7000', 7 '#ee0000', 8 '#7f0000')
-set view map
-set size ratio -1
-set lmargin at screen 0.10
-set rmargin at screen 0.90
-set bmargin at screen 0.15
-set tmargin at screen 0.90
-unset xtics
-unset ytics
-set title '{title}'""".format(output=path+'.pdf',title=name)
-
-  # Write out the plot string
-  pltstr = "splot '-' matrix with image "
-
-  # Write out the data string
-  i = 0
-  datastr = ''
-  while i < size:
-    j = 0
-    while j < size:
-      datastr = datastr + '{0} '.format(src[i,j][0])
-      j += 1
-    datastr = datastr + '\n'
-    i += 1
-
-  # replace all nan with zero
-  datastr = datastr.replace('nan','0.0')
-
-  # Concatenate all
-  outstr = headerstr + '\n' + pltstr + '\n' + datastr
-
-  # Write File
-  with open(path+".plot",'w') as f:
-    f.write(outstr)
-
-  # Run GNUPLOT
-  os.system('gnuplot ' + path+".plot")
-
-if __name__ == "__main__":
-  tally_id = int(sys.argv[1])
-  score_id = sys.argv[2]
-  batch_start = int(sys.argv[3])
-  batch_end = int(sys.argv[4])
-  name = sys.argv[5]
-  main(tally_id, score_id, batch_start, batch_end, name)