mirror of
https://github.com/aportelli/LatAnalyze.git
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86 lines
2.1 KiB
C++
86 lines
2.1 KiB
C++
#include <iostream>
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#include <libgen.h>
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#include <unistd.h>
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#include <LatAnalyze/AsciiFile.hpp>
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#include <LatAnalyze/Dataset.hpp>
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#ifndef DEF_NSAMPLE
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#define DEF_NSAMPLE 100
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#endif
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using namespace std;
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using namespace Latan;
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static void usage(const string &cmdName)
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{
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cerr << "usage: " << cmdName
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<< " [-n <nsample> -r <state> -o <output>] <manifest> <name> "
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<< endl;
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exit(EXIT_FAILURE);
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}
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int main(int argc, char *argv[])
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{
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int c;
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Index nSample = DEF_NSAMPLE;
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string manFileName, name, outFileName, stateFileName;
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char *cmdName;
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opterr = 0;
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cmdName = basename(argv[0]);
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while ((c = getopt(argc, argv, "n:r:o:")) != -1)
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{
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switch (c)
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{
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case 'n':
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nSample = strTo<Index>(optarg);
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break;
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case 'r':
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stateFileName = optarg;
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break;
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case 'o':
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outFileName = optarg;
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break;
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case '?':
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cerr << "error parsing option -" << char(optopt) << endl;
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usage(cmdName);
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break;
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default:
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usage(cmdName);
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break;
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}
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}
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if (argc - optind == 2)
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{
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manFileName = argv[optind];
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name = argv[optind+1];
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}
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else
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{
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usage(cmdName);
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}
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Dataset<DMat> dataset;
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DMatSample s;
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RandGen g;
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if (!stateFileName.empty())
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{
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AsciiFile f(stateFileName, File::Mode::read);
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g.setState(f.read<RandGenState>());
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}
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cout << "-- loading data from manifest '" << manFileName << "'..." << endl;
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dataset.load<AsciiFile>(manFileName, name);
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s = dataset.bootstrapMean(nSample, g);
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cout << scientific;
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cout << "central value:\n" << s[central] << endl;
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cout << "standard deviation:\n" << s.variance().cwiseSqrt() << endl;
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if (!outFileName.empty())
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{
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Io::save<DMatSample, AsciiFile>(s, outFileName, File::Mode::write,
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manFileName + "_" + name);
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}
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return EXIT_SUCCESS;
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}
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