77 lines
1.8 KiB
Go
77 lines
1.8 KiB
Go
// Copyright 2023 wanderer <a_mirre at utb dot cz>
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// SPDX-License-Identifier: GPL-3.0-or-later
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package main
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import (
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"flag"
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"log"
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"os"
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"sync"
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"git.dotya.ml/wanderer/math-optim/algo"
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"git.dotya.ml/wanderer/math-optim/report"
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)
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var version = "development"
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func run() {
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log.Println("starting math-optim version", "'"+version+"'")
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doPrint := flag.Bool("printreport", true, "print report.tex to console")
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generate := flag.Bool("generate", true, "run algos and generate plot pics/statistical tables (anew)")
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rS := flag.Bool("randomsearch", false, "run Random Search algorithm")
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sHC := flag.Bool("shc", false, "run Stochastic Hill Climbing algorithm")
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N100 := flag.Bool("N100", false, "run the \"100 Neighbours\" variant of SHC")
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// run jDE by default.
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jDE := flag.Bool("jde", true, "run Differential Evolution algorithm with parameter self adaptation")
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// TODO(me): add flag for plot output format: -plotout=(svg,eps,pdf)
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flag.Parse()
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if *generate {
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if !*jDE && !*sHC && !*rS {
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log.Println("at least one algo needs to be specified, exiting...")
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os.Exit(0)
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}
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var wg sync.WaitGroup
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var m sync.Mutex
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switch {
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case *jDE:
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wg.Add(1)
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go algo.DojDE(&wg, &m)
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case *rS:
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wg.Add(1)
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go algo.DoRandomSearch(&wg, &m)
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case *sHC:
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wg.Add(1)
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if *N100 {
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go algo.DoStochasticHillClimbing100Neigh(&wg, &m)
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} else {
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go algo.DoStochasticHillClimbing(&wg, &m)
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}
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}
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wg.Wait()
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// pL, benchCount := algo.PrepComparisonOfMeans(&wg)
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// report.SaveComparisonOfMeans(*pL, benchCount)
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report.SaveTexAllPics()
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report.SaveTexAllTables()
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}
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report.SaveAndPrint(*doPrint)
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log.Println("looks like we're done")
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log.Println("run an equivalent of `pdflatex -clean -shell-escape -interaction=nonstopmode ./report.tex` to get a pdf")
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}
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