examples/fitness/avida-rips-distance.cpp
author Christos Mantoulidis <cmad@stanford.edu>
Tue, 04 Aug 2009 13:23:16 -0700
branchdev
changeset 156 f75fb57d2831
parent 136 beff535b53ff
child 179 d15c6d144645
permissions -rw-r--r--
Changed implementation of WeightedRips to store simplex values (max distance between simplices' vertices) as an invisible layer on top of each simplex object, so that the data() field of WeightedRips has been freed for use by the users again.

#include <iostream>
#include <vector>
#include <algorithm>
#include "avida-population-detail.h"

#include <topology/filtration.h>
#include <topology/rips.h>
#include <topology/static-persistence.h>

#include <geometry/distances.h>     // for ExplicitDistances


typedef         ExplicitDistances<AvidaPopulationDetail>            ExplicitDist;
typedef         Rips<ExplicitDist>                                  RipsGen;
typedef         RipsGen::Simplex                                    Smplx;
typedef         std::vector<Smplx>                                  Complex;

typedef         Filtration<Complex, unsigned>                       Fltr;
typedef         StaticPersistence<>                                 Persistence;

int main(int argc, char** argv)
{
#ifdef LOGGING
    rlog::RLogInit(argc, argv);
    stdoutLog.subscribeTo(RLOG_CHANNEL("info"));
    //stdoutLog.subscribeTo(RLOG_CHANNEL("rips/info"));
#endif

    if (argc < 2)
    {
        std::cout << "USAGE: avida FILENAME" << std::endl;
        return 0;
    }

    AvidaPopulationDetail population(argv[1]);
    ExplicitDist distances(population);

    RipsGen rips(distances);
    RipsGen::Evaluator evaluator(rips.distances());
    rInfo("Max distance: %f", rips.max_distance());

    const AvidaPopulationDetail::OrganismVector& organisms = population.get_organisms();
    rInfo("Number of organisms: %d", organisms.size());
    /* 
    for (int i = 0; i < population.get_organisms().size(); ++i)
        rInfo("%d (%s) %f %d %d", organisms[i].id(),
                                  organisms[i].genome().c_str(),
                                  organisms[i].fitness(),
                                  organisms[i].length(),
                                  organisms[i].genome().size());
   */

    rInfo("Starting to generate rips complex");
    Complex c;
    rips.generate(1, rips.max_distance()/2, make_push_back_functor(c));
    std::sort(c.begin(), c.end(), Smplx::VertexComparison());
    
    rInfo("Generated Rips complex, filling filtration");
    Fltr f(c.begin(), c.end(), RipsGen::Comparison(rips.distances()));

    Persistence p(f);
    p.pair_simplices();

    std::cout << "Outputting histogram of death values" << std::endl;
    typedef std::vector<RealType> DeathVector;
    DeathVector deaths;
    OffsetMap<Persistence::OrderIndex, Fltr::Index> m(p.begin(), f.begin());
    for (Persistence::OrderIndex i = p.begin(); i != p.end(); ++i)
    {
        if (i == i->pair) continue;
        if (i->sign())
        {
            const Smplx& s = f.simplex(m[i]);
            const Smplx& t = f.simplex(m[i->pair]);
            AssertMsg(s.dimension() == 0, "Expecting only 0-dimensional diagram");
            AssertMsg(evaluator(s) == 0, "Expecting only 0 birth values in 0-D diagram ");
            deaths.push_back(evaluator(t));
        }
    }

    // Produce histogram
    std::sort(deaths.begin(), deaths.end());
    for (DeathVector::iterator cur = deaths.begin(); cur != deaths.end(); )
    {
        DeathVector::iterator nw = std::find_if(cur, deaths.end(), 
                                                std::bind2nd(std::greater<RealType>(), *cur));
        std::cout << *cur << "\t" << (nw - cur) << std::endl;
        cur = nw;
    }
    std::cout << "Total: " << deaths.size() + 1;        // +1 for the unpaired
}