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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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137
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use lib '.','..'; |
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1
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use Simulation::Automate::Analysis; |
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214
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use Simulation::Automate::PostProcLib; |
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5555
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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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38
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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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40
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sub XYPlot { |
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41
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#determine whether the results are single points or a range |
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42
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0
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0
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0
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0
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0
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if($xvar && @{$simdata{$xvar}}>1) { # point by point |
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0
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43
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0
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my @sweepvarvals=@{$simdata{$sweepvar}}; |
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0
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44
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45
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# This is to combine the values for different buffers into 1 file |
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46
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0
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0
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if ($verylast==0) { |
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47
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0
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open(RES,">$results_file_name"); |
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48
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0
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print RES $resheader; |
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49
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# Now add the simulation results. The difference with the raw data |
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50
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# is that the value of $sweepvar is added as the first column. |
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51
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0
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my $i=0; |
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52
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0
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foreach my $sweepvarval ( @sweepvarvals ) { |
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53
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0
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print RES "$sweepvarval\t$results[$i]"; |
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54
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0
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$i++; |
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55
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} |
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56
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0
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close RES; |
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57
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} else { |
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58
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# On the very last run, collect the results into one nice plot |
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59
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# X values are in the first col, so add 1 to YCOL |
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60
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0
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$ycol++; |
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61
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62
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0
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&gnuplot_combined(); |
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63
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} |
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64
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} else { |
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65
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0
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0
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if(not $verylast) { |
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66
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0
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open(RES,">$results_file_name"); |
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67
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0
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print RES $resheader; |
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68
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# Now add the simulation results. The difference with the raw data |
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69
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# is that the value of $sweepvar is added as the first column. |
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70
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0
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foreach my $line ( @results ) { |
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71
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0
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print RES $line; |
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72
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} |
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73
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0
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close RES; |
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74
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} else { |
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75
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### On the very last run, collect the results into one nice plot |
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76
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0
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&gnuplot_combined(); |
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77
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} |
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78
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} |
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79
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} #END of XYPlot |
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80
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81
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#------------------------------------------------------------------------------ |
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82
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# This is a very generic module to generate plots from any sweep |
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83
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84
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sub PlotXYfromPoints { |
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85
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86
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0
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0
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0
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my @sweepvarvals=@{$simdata{$sweepvar}}; |
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0
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87
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88
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# This is to combine the values for different buffers into 1 file |
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89
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0
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0
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if ($verylast==0) { |
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90
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0
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open(RES,">$results_file_name"); |
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91
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0
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print RES $resheader; |
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92
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# Now add the simulation results. The difference with the raw data |
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93
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# is that the value of $sweepvar is added as the first column. |
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94
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0
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my $i=0; |
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95
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0
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foreach my $sweepvarval ( @sweepvarvals ) { |
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96
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0
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print RES "$sweepvarval\t$results[$i]"; |
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97
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0
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$i++; |
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98
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} |
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99
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0
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close RES; |
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100
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} else { |
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101
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# On the very last run, collect the results into one nice plot |
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102
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# X values are in the first col, so add 1 to YCOL |
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103
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0
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$ycol++; |
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104
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0
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&gnuplot_combined(); |
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105
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} |
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106
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107
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} #END of PlotXYfromPoints |
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108
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109
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#------------------------------------------------------------------------------ |
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110
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sub PlotXYfromRange { |
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111
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112
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0
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0
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0
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0
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if($verylast) { |
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113
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### On the very last run, collect the results into one nice plot |
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114
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0
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&gnuplot_combined(); |
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115
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} |
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116
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117
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} #END of PlotXYfromRange() |
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118
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119
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#------------------------------------------------------------------------------ |
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120
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121
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sub XYPlotErrorBars { |
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122
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123
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0
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0
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0
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my $sweepvarval=$simdata{$sweepvar}[0]; |
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124
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125
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0
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0
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if($verylast) {#very last run |
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126
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127
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## With NRUNS, we must wait until the very last run to calc the error flags. |
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128
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# Get all results files. |
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129
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0
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my %allresfiles=(); |
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130
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0
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foreach my $resfile (@all_results_file_names) { |
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131
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0
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0
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$resfile!~/NRUNS/ && next; |
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132
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0
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my $resfilenorun=$resfile; |
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133
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0
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$resfilenorun=~s/__NRUNS-\d+/__NRUNS-/; |
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134
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0
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$allresfiles{$resfilenorun}=1; |
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135
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} |
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136
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137
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## Loop over all result files |
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138
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0
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foreach my $resfile (keys %allresfiles) { |
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139
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## For each of these, loop over all runs |
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140
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141
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0
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my @allruns=(); |
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142
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0
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my $allpoints=0; |
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143
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0
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foreach my $run (1..$nruns) { |
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144
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0
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my $thisrun=$resfile; |
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145
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0
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$thisrun=~s/__NRUNS-/__NRUNS-$run/; |
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146
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0
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open(RES,"<$thisrun"); |
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147
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0
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my $i=0; |
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148
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0
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while() { |
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149
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0
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0
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/^#/ && next; |
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150
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0
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0
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/^\s*$/ && next; |
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151
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0
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$allruns[$run][$i]=$_; |
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152
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0
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$i++; |
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153
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} |
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154
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0
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$allpoints=$i; |
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155
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0
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close RES; |
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156
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0
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unlink "$thisrun"; # This is quite essential, otherwise it will be included in the plot |
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157
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} |
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158
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0
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my $sweepvalsnorun=$resfile; |
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159
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0
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$sweepvalsnorun=~s/__NRUNS-\d*//; |
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160
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0
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$sweepvalsnorun=~s/\-\-/\-/g; |
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161
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0
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$sweepvalsnorun=~s/\-$//; |
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162
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163
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164
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0
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open(STAT,">$sweepvalsnorun"); |
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165
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0
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0
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if($sweepvar) { |
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166
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0
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foreach my $i (0..$allpoints-1) { |
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167
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0
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open(TMP,">tmp$i.res"); |
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168
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0
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foreach my $run (1..$nruns) { |
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169
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0
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$allruns[$run][$i]=~s/^\d+\s+//; |
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170
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0
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print TMP $simdata{$sweepvar}->[$i],"\t",$allruns[$run][$i]; |
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171
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0
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print $simdata{$sweepvar}->[$i],"\t",$allruns[$run][$i]; |
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172
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} |
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173
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0
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close TMP; |
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174
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175
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# calc average after every $count |
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176
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0
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my $par='PARAM'; |
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177
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0
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my %stats=%{&calc_statistics("tmp$i.res",[$par, $datacol])}; |
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0
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178
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0
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unlink "tmp$i.res"; |
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179
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0
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my $avg=$stats{$par}{AVG}/$normvar; |
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180
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0
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my $stdev=$stats{$par}{STDEV}/$norm; |
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181
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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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182
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0
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0
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my $nsigmas=$simdata{NSIGMAS}||1.96; |
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183
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0
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my $minerr=$avg-$nsigmas*$stdev; # 2 sigma = 95% MAKE THIS A PARAMETER! CONFIDENCE |
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184
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0
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my $maxerr=$avg+$nsigmas*$stdev; # 2 sigma = 95% |
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185
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186
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0
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print STAT $simdata{$sweepvar}->[$i],"\t$avg\t$minerr\t$maxerr\n"; |
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187
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} |
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188
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} else {# no sweepvar, assuming the simulator does the sweep |
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189
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0
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my @tmpres=(); |
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190
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0
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my $i=0; |
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191
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0
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foreach my $run (1..$nruns) { |
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192
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0
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$i=0; |
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193
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0
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|
|
foreach (@{$allruns[$run]}) { |
|
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0
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|
|
|
|
|
|
|
194
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0
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0
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|
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|
|
/^\s+$/ && next; |
|
195
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0
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0
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|
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|
|
/^\s*\#/ && next; |
|
196
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0
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|
|
chomp; |
|
197
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0
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|
|
s/\s+$//; |
|
198
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0
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|
|
s/^\s+//; |
|
199
|
0
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|
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|
|
my @row=split(/[\s\t]+/,$_); |
|
200
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0
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|
|
|
|
push @{$tmpres[$i]},$row[$datacol-1]; |
|
|
0
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|
201
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0
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|
|
$i++; |
|
202
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|
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|
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|
|
} |
|
203
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|
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|
|
} |
|
204
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0
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|
|
my $itot=$i; |
|
205
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0
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|
|
$i=0; |
|
206
|
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|
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|
207
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0
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|
|
while ($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[$i]}) { |
|
|
0
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|
210
|
0
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|
|
print TMP "$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
|
0
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|
|
|
my $par='PARAM'; |
|
215
|
0
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|
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|
|
my %stats=%{&calc_statistics("tmp$i.res",[$par, 1])}; |
|
|
0
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|
|
216
|
0
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|
|
|
unlink "tmp$i.res"; |
|
217
|
0
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|
|
my $avg=$stats{$par}{AVG}/$normvar; |
|
218
|
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
|
0
|
|
0
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|
|
my $nsigmas=$simdata{NSIGMAS}||1.96; |
|
221
|
0
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|
|
my $minerr=$avg-$nsigmas*$stdev; # 2 sigma = 95% MAKE THIS A PARAMETER! CONFIDENCE |
|
222
|
0
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|
|
my $maxerr=$avg+$nsigmas*$stdev; # 2 sigma = 95% |
|
223
|
|
|
|
|
|
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|
224
|
0
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|
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|
|
|
print STAT "$i\t$avg\t$minerr\t$maxerr\n"; |
|
225
|
0
|
|
|
|
|
|
$i++; |
|
226
|
|
|
|
|
|
|
} |
|
227
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|
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|
228
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|
|
} # no SWEEPVAR |
|
229
|
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|
230
|
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
|
|
|
|
|
|
|
|
|
235
|
0
|
|
|
|
|
|
&gnuplot_combined(); |
|
236
|
|
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|
|
|
|
} |
|
237
|
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|
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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
|
|
|
|
|
|
|
|
|
244
|
0
|
|
|
0
|
0
|
|
my $sweepvarval=${$simdata{$sweepvar}}[0]; # used for nbins?! |
|
|
0
|
|
|
|
|
|
|
|
245
|
0
|
|
0
|
|
|
|
my $nbins=$simdata{NBINS}||20; |
|
246
|
0
|
|
0
|
|
|
|
my $binwidth=$simdata{BINWIDTH}||1; |
|
247
|
0
|
|
0
|
|
|
|
my $min=$simdata{MIN}||'CALC';# was 0 |
|
248
|
0
|
|
0
|
|
|
|
my $max=$simdata{MAX}||'CALC';#was ($min+$nbins*$binwidth); |
|
249
|
0
|
|
|
|
|
|
my $par='DATA';#must be "LOG" for log plot |
|
250
|
0
|
|
|
|
|
|
my $log=''; #must be 'log' for log plot |
|
251
|
|
|
|
|
|
|
#carp "LOGSCALE: $logscale\n"; |
|
252
|
|
|
|
|
|
|
#my @logscale=split("\n",$logscale); |
|
253
|
|
|
|
|
|
|
#if($logscale[1]=~/x/i) { |
|
254
|
0
|
0
|
0
|
|
|
|
if($logscale!~/nologscale/ and $logscale=~/x/i) { |
|
255
|
0
|
0
|
0
|
|
|
|
$xstart=($xstart&&$xstart>0)?log($xstart)/log(10):''; |
|
256
|
0
|
0
|
0
|
|
|
|
$xstop=($xstart&&$xstop>0)?log($xstop)/log(10):''; |
|
257
|
|
|
|
|
|
|
# $logscale[1]=~s/x//i; |
|
258
|
|
|
|
|
|
|
# $logscale="$logscale[0]\n$logscale[1]\n"; |
|
259
|
0
|
|
|
|
|
|
$logscale=~s/x//i; |
|
260
|
0
|
|
|
|
|
|
$par='LOG';#'DATA';#must be "LOG" for log plot |
|
261
|
0
|
|
|
|
|
|
$log='log' |
|
262
|
|
|
|
|
|
|
} |
|
263
|
|
|
|
|
|
|
#carp "LOGSCALE: $logscale\n"; |
|
264
|
|
|
|
|
|
|
|
|
265
|
0
|
0
|
|
|
|
|
if(not $verylast) { |
|
266
|
0
|
|
|
|
|
|
my %hists=%{&build_histograms($results_file_name,[$par,$datacol],$title,$log,$nbins,$min,$max)}; |
|
|
0
|
|
|
|
|
|
|
|
267
|
|
|
|
|
|
|
|
|
268
|
0
|
|
|
|
|
|
&egrep('#',$results_file_name,'>',"tmp$results_file_name"); |
|
269
|
0
|
|
|
|
|
|
rename("tmp$results_file_name",$results_file_name); |
|
270
|
0
|
|
|
|
|
|
open HIST,">$results_file_name"; |
|
271
|
0
|
|
|
|
|
|
foreach my $pair (@{$hists{$par}}) { |
|
|
0
|
|
|
|
|
|
|
|
272
|
0
|
|
|
|
|
|
print HIST $pair->{BIN},"\t",$pair->{COUNT},"\n"; |
|
273
|
|
|
|
|
|
|
} |
|
274
|
0
|
|
|
|
|
|
close HIST; |
|
275
|
|
|
|
|
|
|
|
|
276
|
|
|
|
|
|
|
} else { |
|
277
|
0
|
|
|
|
|
|
$xcol=1; |
|
278
|
0
|
|
|
|
|
|
$ycol=2; |
|
279
|
0
|
|
|
|
|
|
&gnuplot_combined(); |
|
280
|
|
|
|
|
|
|
|
|
281
|
|
|
|
|
|
|
} |
|
282
|
|
|
|
|
|
|
|
|
283
|
|
|
|
|
|
|
|
|
284
|
|
|
|
|
|
|
} #END of Histogram() |
|
285
|
|
|
|
|
|
|
|
|
286
|
|
|
|
|
|
|
#------------------------------------------------------------------------------ |
|
287
|
|
|
|
|
|
|
|
|
288
|
|
|
|
|
|
|
my %condval=(); |
|
289
|
|
|
|
|
|
|
|
|
290
|
|
|
|
|
|
|
sub CondXYPlot { |
|
291
|
|
|
|
|
|
|
|
|
292
|
|
|
|
|
|
|
|
|
293
|
|
|
|
|
|
|
# For every corner in the DOE: |
|
294
|
|
|
|
|
|
|
|
|
295
|
|
|
|
|
|
|
#The values of the conditional variable |
|
296
|
0
|
|
|
0
|
0
|
|
my @condvarvals=@{$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
|
|
|
|
|
|
|
#------------------------------------------------------------------------------ |
|
424
|
|
|
|
|
|
|
|
|
425
|
|
|
|
|
|
|
sub AUTOLOAD { |
|
426
|
0
|
|
|
0
|
|
|
my $subref=$Simulation::Automate::PostProcessors::AUTOLOAD; |
|
427
|
0
|
|
|
|
|
|
$subref=~s/.*:://; |
|
428
|
0
|
|
|
|
|
|
print STDERR " |
|
429
|
|
|
|
|
|
|
There is no script for the analysis $subref in the PostProcessors.pm module. |
|
430
|
|
|
|
|
|
|
This might not be what you intended. |
|
431
|
|
|
|
|
|
|
You can add your own subroutine $subref to the PostProcessors.pm module. |
|
432
|
|
|
|
|
|
|
"; |
|
433
|
|
|
|
|
|
|
|
|
434
|
|
|
|
|
|
|
} |
|
435
|
|
|
|
|
|
|
#------------------------------------------------------------------------------ |
|
436
|
|
|
|
|
|
|
1; |
|
437
|
|
|
|
|
|
|
#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
|
|
|
|
|
|
|
|
|
439
|
|
|
|
|
|
|
|