uwu
parent
ddc22c7ca1
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0f03b172b0
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lib/blt
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lib/blt
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Subproject commit 558ed1e0fdc147551d004891dda6dd3b24f61aa2
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Subproject commit 68f6a0af44fe8ba5044a7f37b8bac9809ab709f1
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@ -2,16 +2,19 @@
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\providecommand\hyper@newdestlabel[2]{}
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\providecommand\HyField@AuxAddToFields[1]{}
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\providecommand\HyField@AuxAddToCoFields[2]{}
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\@writefile{toc}{\contentsline {section}{\numberline {1}Symbolic regression}{2}{section.0.1}\protected@file@percent }
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\@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces 2 Elites, 10 Runs Averaged}}{3}{figure.0.1}\protected@file@percent }
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\newlabel{fig:fp4}{{1}{3}{2 Elites, 10 Runs Averaged}{figure.0.1}{}}
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\@writefile{lof}{\contentsline {figure}{\numberline {2}{\ignorespaces }}{3}{figure.0.2}\protected@file@percent }
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\newlabel{fig:fp2}{{2}{3}{}{figure.0.2}{}}
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\@writefile{toc}{\contentsline {subsection}{\numberline {1.5}Analysis And Conclusion}{4}{subsection.0.1.5}\protected@file@percent }
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\@writefile{toc}{\contentsline {section}{\numberline {2}Rice Classification}{4}{section.0.2}\protected@file@percent }
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\@writefile{toc}{\contentsline {section}{\numberline {3}Compiling / Executing}{4}{section.0.3}\protected@file@percent }
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\gdef \@abspage@last{5}
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\@writefile{toc}{\contentsline {subsection}{\numberline {2.5}Analysis And Conclusion}{4}{subsection.0.2.5}\protected@file@percent }
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\@writefile{toc}{\contentsline {section}{\numberline {3}Rice Classification}{4}{section.0.3}\protected@file@percent }
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\@writefile{toc}{\contentsline {subsection}{\numberline {3.1}Introduction}{4}{subsection.0.3.1}\protected@file@percent }
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\@writefile{toc}{\contentsline {subsection}{\numberline {3.2}Parameter Table}{4}{subsection.0.3.2}\protected@file@percent }
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\@writefile{toc}{\contentsline {section}{\numberline {4}Compiling / Executing}{4}{section.0.4}\protected@file@percent }
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\gdef \@abspage@last{6}
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@ -1,4 +1,4 @@
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This is pdfTeX, Version 3.141592653-2.6-1.40.25 (TeX Live 2023/Debian) (preloaded format=pdflatex 2024.1.7) 15 FEB 2024 23:58
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This is pdfTeX, Version 3.141592653-2.6-1.40.25 (TeX Live 2023/Debian) (preloaded format=pdflatex 2024.1.7) 16 FEB 2024 00:32
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entering extended mode
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restricted \write18 enabled.
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%&-line parsing enabled.
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@ -730,7 +730,7 @@ File: lstlang1.sty 2023/02/27 1.9 listings language file
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(/usr/share/texlive/texmf-dist/tex/latex/listings/lstmisc.sty
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File: lstmisc.sty 2023/02/27 1.9 (Carsten Heinz)
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)
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Package Listings Info: Made $ a short reference for \lstinline on input line 47
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Package Listings Info: Made | a short reference for \lstinline on input line 47
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.
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(/usr/share/texlive/texmf-dist/tex/latex/l3backend/l3backend-pdftex.def
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@ -805,44 +805,46 @@ pdfTeX warning (ext4): destination with the same identifier (name{page.1}) has
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been already used, duplicate ignored
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<to be read again>
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\relax
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l.122 \end{center}
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l.124 \end{center}
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File: fp5.png Graphic file (type png)
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<use fp5.png>
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Package pdftex.def Info: fp5.png used on input line 130.
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File: fp3.png Graphic file (type png)
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Package pdftex.def Info: fp3.png used on input line 136.
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***********
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LaTeX2e <2023-11-01>
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***********
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@ -1,8 +1,11 @@
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@ -44,7 +44,7 @@
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title=\lstname, % show the filename of files included with \lstinputlisting; also try caption instead of title
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columns=fixed % Using fixed column width (for e.g. nice alignment)
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}
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\lstMakeShortInline$
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\lstMakeShortInline|
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\newtcolorbox{answerbox}[2][]{%
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attach boxed title to top center
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\end{center}
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\section{Compiling / Executing}
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This assignment was made for linux using GCC 13.2.0, however any C++17 compliant compiler should work.
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The minimum GCC version appears to be 8.5, meaning this assignment can be built on sandcastle.
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\begin{lstlisting}
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cd your_path_to_this_source/
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mkdir build
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cd build
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cmake ../
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make -j 32
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\end{lstlisting}
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The actual assignment executable is called |Assignment_1| while the automatic run system is called |Assignment_1_RUNNER|. |Assignment_1_RUNNER| has a help menu with options but the defaults will work assuming you run from the build directory and are using part b only. If you want to build for Part A run |cmake -DPART_B=OFF| and run |Assignment_1_RUNNER| with |-b|
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\end{document}
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\contentsline {section}{\numberline {1}Symbolic regression}{2}{section.0.1}%
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\contentsline {subsection}{\numberline {1.1}Introduction}{2}{subsection.0.1.1}%
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\contentsline {subsection}{\numberline {1.2}Parameter Table}{2}{subsection.0.1.2}%
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\contentsline {subsection}{\numberline {1.3}Fitness Evaluation}{2}{subsection.0.1.3}%
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\contentsline {subsection}{\numberline {1.4}Fitness Plots}{3}{subsection.0.1.4}%
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\contentsline {subsection}{\numberline {1.5}Analysis And Conclusion}{4}{subsection.0.1.5}%
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\contentsline {section}{\numberline {2}Rice Classification}{4}{section.0.2}%
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\contentsline {section}{\numberline {3}Compiling / Executing}{4}{section.0.3}%
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\contentsline {section}{\numberline {1}Introduction}{2}{section.0.1}%
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\contentsline {section}{\numberline {2}Symbolic regression}{2}{section.0.2}%
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\contentsline {subsection}{\numberline {2.1}Introduction}{2}{subsection.0.2.1}%
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\contentsline {subsection}{\numberline {2.2}Parameter Table}{2}{subsection.0.2.2}%
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\contentsline {subsection}{\numberline {2.3}Fitness Evaluation}{2}{subsection.0.2.3}%
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\contentsline {subsection}{\numberline {2.4}Fitness Plots}{3}{subsection.0.2.4}%
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\contentsline {subsection}{\numberline {2.5}Analysis And Conclusion}{4}{subsection.0.2.5}%
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\contentsline {section}{\numberline {3}Rice Classification}{4}{section.0.3}%
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\contentsline {subsection}{\numberline {3.1}Introduction}{4}{subsection.0.3.1}%
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\contentsline {subsection}{\numberline {3.2}Parameter Table}{4}{subsection.0.3.2}%
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\contentsline {section}{\numberline {4}Compiling / Executing}{4}{section.0.4}%
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app_fitness_cases[5] = (double*) MALLOC(fitness_cases * sizeof(double));
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app_fitness_cases[6] = (double*) MALLOC(fitness_cases * sizeof(double));
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app_fitness_cases[7] = (double*) MALLOC(fitness_cases * sizeof(double));
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auto data = rice_data.getTrainingSet(fitness_cases);
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#else
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app_fitness_cases[0] = (double*) MALLOC(fitness_cases * sizeof(double));
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app_fitness_cases[1] = (double*) MALLOC(fitness_cases * sizeof(double));
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#endif
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oprintf(OUT_PRG, 50, "%d fitness cases:\n", fitness_cases);
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auto data = rice_data.getTrainingSet(fitness_cases);
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for (i = 0; i < fitness_cases; ++i)
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{
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#ifndef PART_B
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Loading…
Reference in New Issue