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package Simulation::Automate::PostProcessors; |
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use vars qw( $VERSION ); |
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$VERSION = "1.0.1"; |
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################################################################################ |
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# # |
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# Copyright (C) 2000,2002-2003 Wim Vanderbauwhede. All rights reserved. # |
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# This program is free software; you can redistribute it and/or modify it # |
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# under the same terms as Perl itself. # |
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# # |
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################################################################################ |
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#=headers |
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#Module to support SynSim simulation automation tool. |
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#This module contains all subroutines needed for postprocessing of the simulations results. |
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#Some routines are quite generic, but most are specific to the type of simulation. |
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#$Id$ |
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#=cut |
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##use warnings; |
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##use strict; |
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use Carp; |
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use lib '.','..'; |
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use Simulation::Automate::Analysis; |
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use Simulation::Automate::PostProcLib; |
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################################################################################## |
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# Three generic routines are provided: |
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# SweepVar: to make a sweep over one variable while using any number of parameters |
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# ErrorFlags: |
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# Histogram: to create simple histograms |
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#------------------------------------------------------------------------------ |
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# This is a very generic module to generate XY plots from any sweep |
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sub XYPlot { |
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#determine whether the results are single points or a range |
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if($xvar && @{$simdata{$xvar}}>1) { # point by point |
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my @sweepvarvals=@{$simdata{$sweepvar}}; |
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# This is to combine the values for different buffers into 1 file |
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if ($verylast==0) { |
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open(RES,">$results_file_name"); |
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print RES $resheader; |
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# Now add the simulation results. The difference with the raw data |
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# is that the value of $sweepvar is added as the first column. |
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my $i=0; |
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foreach my $sweepvarval ( @sweepvarvals ) { |
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print RES "$sweepvarval\t$results[$i]"; |
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$i++; |
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} |
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close RES; |
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} else { |
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# On the very last run, collect the results into one nice plot |
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# X values are in the first col, so add 1 to YCOL |
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$ycol++; |
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&gnuplot_combined(); |
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} |
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} else { |
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if(not $verylast) { |
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open(RES,">$results_file_name"); |
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print RES $resheader; |
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# Now add the simulation results. The difference with the raw data |
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# is that the value of $sweepvar is added as the first column. |
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foreach my $line ( @results ) { |
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print RES $line; |
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} |
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close RES; |
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} else { |
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### On the very last run, collect the results into one nice plot |
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&gnuplot_combined(); |
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} |
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} |
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} #END of XYPlot |
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#------------------------------------------------------------------------------ |
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# This is a very generic module to generate plots from any sweep |
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84
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sub PlotXYfromPoints { |
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86
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my @sweepvarvals=@{$simdata{$sweepvar}}; |
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87
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88
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# This is to combine the values for different buffers into 1 file |
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0
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if ($verylast==0) { |
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open(RES,">$results_file_name"); |
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print RES $resheader; |
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# Now add the simulation results. The difference with the raw data |
93
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# is that the value of $sweepvar is added as the first column. |
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my $i=0; |
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foreach my $sweepvarval ( @sweepvarvals ) { |
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print RES "$sweepvarval\t$results[$i]"; |
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$i++; |
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} |
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close RES; |
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} else { |
101
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# On the very last run, collect the results into one nice plot |
102
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# X values are in the first col, so add 1 to YCOL |
103
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$ycol++; |
104
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&gnuplot_combined(); |
105
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} |
106
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107
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} #END of PlotXYfromPoints |
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109
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#------------------------------------------------------------------------------ |
110
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sub PlotXYfromRange { |
111
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112
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if($verylast) { |
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### On the very last run, collect the results into one nice plot |
114
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0
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&gnuplot_combined(); |
115
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} |
116
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117
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} #END of PlotXYfromRange() |
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119
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#------------------------------------------------------------------------------ |
120
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121
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sub XYPlotErrorBars { |
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123
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my $sweepvarval=$simdata{$sweepvar}[0]; |
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125
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if($verylast) {#very last run |
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127
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## With NRUNS, we must wait until the very last run to calc the error flags. |
128
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# Get all results files. |
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my %allresfiles=(); |
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foreach my $resfile (@all_results_file_names) { |
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$resfile!~/NRUNS/ && next; |
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my $resfilenorun=$resfile; |
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$resfilenorun=~s/__NRUNS-\d+/__NRUNS-/; |
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$allresfiles{$resfilenorun}=1; |
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} |
136
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137
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## Loop over all result files |
138
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0
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foreach my $resfile (keys %allresfiles) { |
139
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## For each of these, loop over all runs |
140
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141
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my @allruns=(); |
142
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my $allpoints=0; |
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foreach my $run (1..$nruns) { |
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my $thisrun=$resfile; |
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$thisrun=~s/__NRUNS-/__NRUNS-$run/; |
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open(RES,"<$thisrun"); |
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my $i=0; |
148
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while() { |
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/^#/ && next; |
150
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/^\s*$/ && next; |
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$allruns[$run][$i]=$_; |
152
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$i++; |
153
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} |
154
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0
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$allpoints=$i; |
155
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close RES; |
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unlink "$thisrun"; # This is quite essential, otherwise it will be included in the plot |
157
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} |
158
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my $sweepvalsnorun=$resfile; |
159
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0
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$sweepvalsnorun=~s/__NRUNS-\d*//; |
160
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$sweepvalsnorun=~s/\-\-/\-/g; |
161
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$sweepvalsnorun=~s/\-$//; |
162
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163
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164
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open(STAT,">$sweepvalsnorun"); |
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if($sweepvar) { |
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foreach my $i (0..$allpoints-1) { |
167
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open(TMP,">tmp$i.res"); |
168
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foreach my $run (1..$nruns) { |
169
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$allruns[$run][$i]=~s/^\d+\s+//; |
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print TMP $simdata{$sweepvar}->[$i],"\t",$allruns[$run][$i]; |
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print $simdata{$sweepvar}->[$i],"\t",$allruns[$run][$i]; |
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} |
173
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close TMP; |
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175
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# calc average after every $count |
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my $par='PARAM'; |
177
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my %stats=%{&calc_statistics("tmp$i.res",[$par, $datacol])}; |
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178
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unlink "tmp$i.res"; |
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my $avg=$stats{$par}{AVG}/$normvar; |
180
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my $stdev=$stats{$par}{STDEV}/$norm; |
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#Parameter should be NSIGMAS, user can choose. As it is a postprocessing par, the syntax is 'NSIGMAS : 1.96' |
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my $nsigmas=$simdata{NSIGMAS}||1.96; |
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my $minerr=$avg-$nsigmas*$stdev; # 2 sigma = 95% MAKE THIS A PARAMETER! CONFIDENCE |
184
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my $maxerr=$avg+$nsigmas*$stdev; # 2 sigma = 95% |
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186
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print STAT $simdata{$sweepvar}->[$i],"\t$avg\t$minerr\t$maxerr\n"; |
187
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} |
188
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} else {# no sweepvar, assuming the simulator does the sweep |
189
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0
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my @tmpres=(); |
190
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0
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my $i=0; |
191
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0
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foreach my $run (1..$nruns) { |
192
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0
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$i=0; |
193
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0
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foreach (@{$allruns[$run]}) { |
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194
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0
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/^\s+$/ && next; |
195
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/^\s*\#/ && next; |
196
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chomp; |
197
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s/\s+$//; |
198
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s/^\s+//; |
199
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my @row=split(/[\s\t]+/,$_); |
200
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0
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push @{$tmpres[$i]},$row[$datacol-1]; |
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201
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$i++; |
202
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} |
203
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} |
204
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0
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my $itot=$i; |
205
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$i=0; |
206
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207
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0
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while ($i<$itot) { |
208
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0
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open(TMP,">tmp$i.res"); |
209
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0
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|
foreach my $item (@{$tmpres[$i]}) { |
|
0
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210
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0
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|
print TMP "$item\n"; |
211
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} |
212
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0
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|
close TMP; |
213
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|
# calc average after every $count |
214
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0
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|
my $par='PARAM'; |
215
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0
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|
|
my %stats=%{&calc_statistics("tmp$i.res",[$par, 1])}; |
|
0
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216
|
0
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|
unlink "tmp$i.res"; |
217
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0
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|
my $avg=$stats{$par}{AVG}/$normvar; |
218
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0
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|
my $stdev=$stats{$par}{STDEV}/$normvar; |
219
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#Parameter should be NSIGMAS, user can choose. As it is a postprocessing par, the syntax is 'NSIGMAS : 1.96' |
220
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0
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0
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|
my $nsigmas=$simdata{NSIGMAS}||1.96; |
221
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0
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|
my $minerr=$avg-$nsigmas*$stdev; # 2 sigma = 95% MAKE THIS A PARAMETER! CONFIDENCE |
222
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0
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|
my $maxerr=$avg+$nsigmas*$stdev; # 2 sigma = 95% |
223
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224
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0
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|
print STAT "$i\t$avg\t$minerr\t$maxerr\n"; |
225
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0
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|
$i++; |
226
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} |
227
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228
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} # no SWEEPVAR |
229
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230
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0
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close STAT; |
231
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} # all resfiles |
232
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233
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### On the very last run, collect the results into one nice plot |
234
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235
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0
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&gnuplot_combined(); |
236
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} |
237
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238
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} #END of XYPlotErrorBars() |
239
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240
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#------------------------------------------------------------------------------ |
241
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242
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sub Histogram { |
243
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244
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0
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0
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0
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my $sweepvarval=${$simdata{$sweepvar}}[0]; # used for nbins?! |
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0
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245
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0
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0
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my $nbins=$simdata{NBINS}||20; |
246
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0
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0
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my $binwidth=$simdata{BINWIDTH}||1; |
247
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0
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0
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my $min=$simdata{MIN}||'CALC';# was 0 |
248
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0
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0
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my $max=$simdata{MAX}||'CALC';#was ($min+$nbins*$binwidth); |
249
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0
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my $par='DATA';#must be "LOG" for log plot |
250
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0
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my $log=''; #must be 'log' for log plot |
251
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|
#carp "LOGSCALE: $logscale\n"; |
252
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|
#my @logscale=split("\n",$logscale); |
253
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|
#if($logscale[1]=~/x/i) { |
254
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0
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0
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0
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|
if($logscale!~/nologscale/ and $logscale=~/x/i) { |
255
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0
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0
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0
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|
$xstart=($xstart&&$xstart>0)?log($xstart)/log(10):''; |
256
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0
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0
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0
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|
$xstop=($xstart&&$xstop>0)?log($xstop)/log(10):''; |
257
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|
# $logscale[1]=~s/x//i; |
258
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|
# $logscale="$logscale[0]\n$logscale[1]\n"; |
259
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0
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|
$logscale=~s/x//i; |
260
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0
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|
$par='LOG';#'DATA';#must be "LOG" for log plot |
261
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0
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|
$log='log' |
262
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} |
263
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|
#carp "LOGSCALE: $logscale\n"; |
264
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265
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0
|
0
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|
if(not $verylast) { |
266
|
0
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|
|
my %hists=%{&build_histograms($results_file_name,[$par,$datacol],$title,$log,$nbins,$min,$max)}; |
|
0
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|
|
267
|
|
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268
|
0
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|
|
|
|
&egrep('#',$results_file_name,'>',"tmp$results_file_name"); |
269
|
0
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|
|
|
rename("tmp$results_file_name",$results_file_name); |
270
|
0
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|
|
|
|
|
open HIST,">$results_file_name"; |
271
|
0
|
|
|
|
|
|
foreach my $pair (@{$hists{$par}}) { |
|
0
|
|
|
|
|
|
|
272
|
0
|
|
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|
|
|
print HIST $pair->{BIN},"\t",$pair->{COUNT},"\n"; |
273
|
|
|
|
|
|
|
} |
274
|
0
|
|
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|
|
|
close HIST; |
275
|
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|
|
276
|
|
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|
|
} else { |
277
|
0
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|
|
|
$xcol=1; |
278
|
0
|
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|
|
|
$ycol=2; |
279
|
0
|
|
|
|
|
|
&gnuplot_combined(); |
280
|
|
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|
|
|
|
|
281
|
|
|
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|
|
|
} |
282
|
|
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|
283
|
|
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|
284
|
|
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|
|
|
} #END of Histogram() |
285
|
|
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|
|
|
|
|
286
|
|
|
|
|
|
|
#------------------------------------------------------------------------------ |
287
|
|
|
|
|
|
|
|
288
|
|
|
|
|
|
|
my %condval=(); |
289
|
|
|
|
|
|
|
|
290
|
|
|
|
|
|
|
sub CondXYPlot { |
291
|
|
|
|
|
|
|
|
292
|
|
|
|
|
|
|
|
293
|
|
|
|
|
|
|
# For every corner in the DOE: |
294
|
|
|
|
|
|
|
|
295
|
|
|
|
|
|
|
#The values of the conditional variable |
296
|
0
|
|
|
0
|
0
|
|
my @condvarvals=@{$simdata{$condvar}}; |
|
0
|
|
|
|
|
|
|
297
|
|
|
|
|
|
|
#print STDERR "CONDVARVALS: $condvar :",join(',', @condvarvals),"\n"; |
298
|
|
|
|
|
|
|
# remove the original results file. data are in @results, so no need for it |
299
|
|
|
|
|
|
|
# and otherwise the files appear in the final plot |
300
|
|
|
|
|
|
|
#print STDERR "unlink $results_file_name;\n"; |
301
|
0
|
|
|
|
|
|
unlink $results_file_name; |
302
|
|
|
|
|
|
|
|
303
|
0
|
0
|
|
|
|
|
if(not $verylast) { # The DOE is not finished yet |
304
|
0
|
|
|
|
|
|
my $condition_met=0; |
305
|
0
|
|
|
|
|
|
my $i=0; |
306
|
|
|
|
|
|
|
#This is the core routine to check the condition |
307
|
0
|
|
|
|
|
|
foreach my $condvarval ( @condvarvals ) { # @condvarvals and @results have the same length |
308
|
0
|
|
|
|
|
|
my @line=split(/\s+/,$results[$i]); |
309
|
0
|
|
|
|
|
|
$i++; |
310
|
0
|
|
|
|
|
|
my $value=$line[$datacol-1]; |
311
|
0
|
0
|
0
|
|
|
|
if( !$condition_met && eval("$value$cond")) { |
312
|
0
|
|
|
|
|
|
$condition_met=1; |
313
|
|
|
|
|
|
|
#print STDERR "COND is met for $value$cond\n"; |
314
|
0
|
|
|
|
|
|
my $setvarval=$current_set_vals{$setvar}; |
315
|
0
|
|
|
|
|
|
push @{$condval{$current_set_except_setvar_str}},"$setvarval $condvarval"; |
|
0
|
|
|
|
|
|
|
316
|
|
|
|
|
|
|
} |
317
|
|
|
|
|
|
|
} # all results for current sweep |
318
|
|
|
|
|
|
|
|
319
|
0
|
0
|
|
|
|
|
if ($last) { # The X-axis sweep for the current set of parameters is finished. |
320
|
|
|
|
|
|
|
#print STDERR "LAST :"; |
321
|
0
|
|
|
|
|
|
foreach my $valstr (keys %condval) { |
322
|
|
|
|
|
|
|
#print STDERR "VALSTR: $valstr\n"; |
323
|
0
|
|
|
|
|
|
my $new_results_file_name=$results_file_name; |
324
|
0
|
|
|
|
|
|
$new_results_file_name=~s/$current_set_str/$valstr/; |
325
|
0
|
|
|
|
|
|
open(RES,">$new_results_file_name"); |
326
|
0
|
|
|
|
|
|
print RES $resheader; |
327
|
0
|
|
|
|
|
|
foreach my $line (@{$condval{$valstr}}) { |
|
0
|
|
|
|
|
|
|
328
|
0
|
|
|
|
|
|
print RES "$line\n"; |
329
|
|
|
|
|
|
|
# print STDERR "$line\n"; |
330
|
|
|
|
|
|
|
} |
331
|
0
|
|
|
|
|
|
close RES; |
332
|
|
|
|
|
|
|
} |
333
|
|
|
|
|
|
|
} # if last |
334
|
|
|
|
|
|
|
} else { ### On the very last run, collect the results into one nice plot |
335
|
|
|
|
|
|
|
# $ycol++; |
336
|
0
|
|
|
|
|
|
$ycol=2; |
337
|
0
|
|
|
|
|
|
$normvarval=1; |
338
|
0
|
|
|
|
|
|
&gnuplot_combined(); |
339
|
|
|
|
|
|
|
} |
340
|
|
|
|
|
|
|
|
341
|
|
|
|
|
|
|
} #END of CondXYPlot() |
342
|
|
|
|
|
|
|
#------------------------------------------------------------------------------ |
343
|
|
|
|
|
|
|
|
344
|
|
|
|
|
|
|
#============================================================================== |
345
|
|
|
|
|
|
|
# |
346
|
|
|
|
|
|
|
# PREPROCESSORS |
347
|
|
|
|
|
|
|
# |
348
|
|
|
|
|
|
|
# Routines for pre-processing of results |
349
|
|
|
|
|
|
|
# All these routines modify the @results array, which is the raw data from the simulator in a line-by-line array |
350
|
|
|
|
|
|
|
# |
351
|
|
|
|
|
|
|
sub show_results { |
352
|
0
|
|
|
0
|
0
|
|
print STDERR "RESULTS:\n"; |
353
|
0
|
|
|
|
|
|
for my $line (@results){ |
354
|
0
|
|
|
|
|
|
print STDERR $line; |
355
|
|
|
|
|
|
|
} |
356
|
0
|
|
|
|
|
|
print STDERR "-" x 78; |
357
|
0
|
|
|
|
|
|
print STDERR "\n"; |
358
|
|
|
|
|
|
|
} |
359
|
|
|
|
|
|
|
#------------------------------------------------------------------------------ |
360
|
|
|
|
|
|
|
sub clean_up { |
361
|
0
|
|
|
0
|
0
|
|
for my $line (@results) { |
362
|
0
|
0
|
|
|
|
|
($line=~/^\s*\#/) && next; |
363
|
0
|
|
|
|
|
|
$line=~s/^.*\:\s*//; |
364
|
|
|
|
|
|
|
} |
365
|
|
|
|
|
|
|
} |
366
|
|
|
|
|
|
|
#------------------------------------------------------------------------------ |
367
|
|
|
|
|
|
|
sub square { |
368
|
0
|
0
|
|
0
|
0
|
|
print "Calling square():\n" if $verbose; |
369
|
0
|
|
|
|
|
|
for my $line (@results){ |
370
|
0
|
|
|
|
|
|
chomp $line; |
371
|
0
|
|
|
|
|
|
$line*=$line; |
372
|
0
|
|
|
|
|
|
$line.="\n"; |
373
|
|
|
|
|
|
|
} |
374
|
|
|
|
|
|
|
} |
375
|
|
|
|
|
|
|
#------------------------------------------------------------------------------ |
376
|
|
|
|
|
|
|
sub get_train_lengths { |
377
|
0
|
|
|
0
|
0
|
|
my $resultsfile=shift; |
378
|
0
|
|
|
|
|
|
my $nports=$simdata{_NPORTS}->[0]; |
379
|
|
|
|
|
|
|
|
380
|
0
|
|
|
|
|
|
my $prevdest=0; |
381
|
0
|
|
|
|
|
|
my @train_length=(); |
382
|
|
|
|
|
|
|
|
383
|
0
|
|
|
|
|
|
foreach my $dest (0..$nports-1) { |
384
|
0
|
|
|
|
|
|
$train_length[$dest]=0; |
385
|
|
|
|
|
|
|
} |
386
|
|
|
|
|
|
|
|
387
|
0
|
|
|
|
|
|
foreach my $line (@results){ |
388
|
0
|
0
|
|
|
|
|
if($line!~/^DEST/){ |
389
|
0
|
|
|
|
|
|
print TMP $line; |
390
|
|
|
|
|
|
|
} else { |
391
|
0
|
|
|
|
|
|
chomp(my $dest=$line); |
392
|
0
|
|
|
|
|
|
$dest=~s/^.*\s+//; |
393
|
0
|
0
|
|
|
|
|
if($dest == $prevdest) { |
394
|
0
|
|
|
|
|
|
$train_length[$dest]++; |
395
|
|
|
|
|
|
|
} else { |
396
|
0
|
|
|
|
|
|
chomp $line; |
397
|
0
|
|
|
|
|
|
$line=~s/\d+$//; |
398
|
0
|
|
|
|
|
|
print TMP "$_\t",$train_length[$prevdest],"\n"; |
399
|
0
|
|
|
|
|
|
foreach my $dest (0..$nports-1) { |
400
|
0
|
|
|
|
|
|
$train_length[$dest]=0; |
401
|
|
|
|
|
|
|
} |
402
|
0
|
|
|
|
|
|
$train_length[$dest]++; |
403
|
0
|
|
|
|
|
|
$prevdest=$dest; |
404
|
|
|
|
|
|
|
} |
405
|
|
|
|
|
|
|
} |
406
|
|
|
|
|
|
|
} |
407
|
|
|
|
|
|
|
|
408
|
|
|
|
|
|
|
} |
409
|
|
|
|
|
|
|
#============================================================================== |
410
|
|
|
|
|
|
|
sub egrep { |
411
|
0
|
|
|
0
|
0
|
|
my $pattern=shift; |
412
|
0
|
|
|
|
|
|
my $infile=shift; |
413
|
0
|
|
|
|
|
|
my $mode=shift; |
414
|
0
|
|
|
|
|
|
my $outfile=shift; |
415
|
0
|
|
|
|
|
|
open(IN,"<$infile"); |
416
|
0
|
|
|
|
|
|
open(OUT,"$mode$outfile"); |
417
|
0
|
|
|
|
|
|
print OUT grep /$pattern/,; |
418
|
|
|
|
|
|
|
|
419
|
0
|
|
|
|
|
|
close IN; |
420
|
0
|
|
|
|
|
|
close OUT; |
421
|
|
|
|
|
|
|
} |
422
|
|
|
|
|
|
|
|
423
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#------------------------------------------------------------------------------ |
424
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425
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sub AUTOLOAD { |
426
|
0
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|
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0
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my $subref=$Simulation::Automate::PostProcessors::AUTOLOAD; |
427
|
0
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$subref=~s/.*:://; |
428
|
0
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print STDERR " |
429
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There is no script for the analysis $subref in the PostProcessors.pm module. |
430
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This might not be what you intended. |
431
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You can add your own subroutine $subref to the PostProcessors.pm module. |
432
|
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"; |
433
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434
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} |
435
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#------------------------------------------------------------------------------ |
436
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1; |
437
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#print STDERR "#" x 80,"\n#\t\t\tSynSim simulation automation tool\n#\n#\t\t\t(C) Wim Vanderbauwhede 2002\n#\n","#" x 80,"\n\n Module PostProcessors loaded\n\n"; |
438
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439
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