EICTrack.cc 19.3 KB
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#undef NDEBUG

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#include <fstream>
#include <vector>

#include <ConstField.h>
#include <EventDisplay.h>
#include <FieldManager.h>
#include <KalmanFitStatus.h>
#include <KalmanFitter.h>
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#include <KalmanFitterInfo.h>
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#include <MaterialEffects.h>
#include <ProlateSpacepointMeasurement.h>
#include <TGeoManager.h>
#include <TGeoMaterialInterface.h>
#include <TVector3.h>
#include <Track.h>
#include <TrackPoint.h>
#include <proio/event.h>
#include <proio/model/eic/eic.pb.h>
#include <proio/reader.h>
#include <proio/writer.h>

#include "EICTrack.h"

using namespace eictrack;
using namespace proio::model;

std::map<std::string, BFieldFactory *> BField::factories;

void printBFields() {
    std::cout << "Available magnetic field types:\n";
    for (auto type : BField::AvailableTypes()) {
        std::cout << "\t" << type << "\n";
    }
}

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genfit::AbsMeasurement *makeMeasurement(eic::EnergyDep *entry) {
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    if (entry->mean() / entry->noise() < 2) return NULL;

    TVectorD hitCoords(3);
    hitCoords = 0;
    TMatrixDSym hitCov(3);
    hitCov = 0;
    double wTot = 0;

    for (auto obsPos : entry->pos()) {
        TMatrixDSym hitCovTemp(3);
        hitCovTemp = 0;

        for (auto randVar : obsPos.noise()) {
            hitCovTemp[0][0] += randVar.sigma().x() * randVar.sigma().x();
            hitCovTemp[0][1] += randVar.sigma().x() * randVar.sigma().y();
            hitCovTemp[0][2] += randVar.sigma().x() * randVar.sigma().z();
            hitCovTemp[1][1] += randVar.sigma().y() * randVar.sigma().y();
            hitCovTemp[1][2] += randVar.sigma().y() * randVar.sigma().z();
            hitCovTemp[2][2] += randVar.sigma().z() * randVar.sigma().z();
        }

        if (entry->pos().size() == 1) {
            hitCov += 0.01 * hitCovTemp;
            hitCoords[0] += 0.1 * obsPos.mean().x();
            hitCoords[1] += 0.1 * obsPos.mean().y();
            hitCoords[2] += 0.1 * obsPos.mean().z();

            auto measurement = new genfit::SpacepointMeasurement(hitCoords, hitCov, 0, 0, nullptr);
            return measurement;
        } else {
            hitCovTemp[0][0] += obsPos.mean().x() * obsPos.mean().x();
            hitCovTemp[0][1] += obsPos.mean().x() * obsPos.mean().y();
            hitCovTemp[0][2] += obsPos.mean().x() * obsPos.mean().z();
            hitCovTemp[1][1] += obsPos.mean().y() * obsPos.mean().y();
            hitCovTemp[1][2] += obsPos.mean().y() * obsPos.mean().z();
            hitCovTemp[2][2] += obsPos.mean().z() * obsPos.mean().z();

            double w = obsPos.weightmod() + 1;
            hitCov += 0.01 * w * hitCovTemp;
            hitCoords[0] += 0.1 * w * obsPos.mean().x();
            hitCoords[1] += 0.1 * w * obsPos.mean().y();
            hitCoords[2] += 0.1 * w * obsPos.mean().z();
            wTot += w;
        }
    }

    hitCov *= 1. / wTot;
    hitCoords *= 1. / wTot;
    hitCov[0][0] -= hitCoords[0] * hitCoords[0];
    hitCov[0][1] -= hitCoords[0] * hitCoords[1];
    hitCov[0][2] -= hitCoords[0] * hitCoords[2];
    hitCov[1][1] -= hitCoords[1] * hitCoords[1];
    hitCov[1][2] -= hitCoords[1] * hitCoords[2];
    hitCov[2][2] -= hitCoords[2] * hitCoords[2];

    auto measurement = new genfit::SpacepointMeasurement(hitCoords, hitCov, 0, 0, nullptr);
    return measurement;
}

void checkMetadata(proio::Event *event) {
    static std::shared_ptr<const std::string> lastGeomString(NULL);
    if (event->Metadata().count("geometry")) {
        auto geomString = event->Metadata().at("geometry");
        if (geomString != lastGeomString) {
            char dirTemplate[] = "eictrack_XXXXXX";
            std::string tempDir = mkdtemp(dirTemplate);
            std::string geomFilePath = tempDir + "/geometry.gdml";
            std::ofstream geomFile(geomFilePath);
            geomFile << *geomString;
            geomFile.close();

            TGeoManager::Import(geomFilePath.c_str());
            genfit::MaterialEffects::getInstance()->setNoEffects(false);
            genfit::MaterialEffects::getInstance()->init(new genfit::TGeoMaterialInterface());

            unlink(geomFilePath.c_str());
            rmdir(tempDir.c_str());
            lastGeomString = geomString;
        }
    }

    static std::shared_ptr<const std::string> lastFieldString(NULL);
    if (event->Metadata().count("field")) {
        auto fieldString = event->Metadata().at("field");
        if (fieldString != lastFieldString) {
            auto colonLoc = fieldString->find_first_of(':');
            auto fieldName = fieldString->substr(0, colonLoc);
            std::vector<double> params;
            for (int i = colonLoc; i != std::string::npos && i < fieldString->size();
                 i = fieldString->find_first_of(',', i + 1)) {
                double value = atof(fieldString->substr(i + 1).c_str());
                params.push_back(value);
            }
            genfit::AbsBField *field = BField::Create(fieldName, &params[0]);
            if (field)
                genfit::FieldManager::getInstance()->init(field);
            else {
                std::cerr << "Invalid magnetic field type: " << fieldName << "\n";
                printBFields();
                exit(EXIT_FAILURE);
            }

            lastFieldString = fieldString;
        }
    }
}

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void trackEvent(proio::Event *event, const int n_validate, genfit::KalmanFitter *fitter) {
    // build available observations list and a map of observations to
    // GenFit measurements
    std::vector<uint64_t> available_obs;
    std::map<uint64_t, genfit::AbsMeasurement *> measurements;
    std::map<uint64_t, double> seed_sort_param;
    for (auto id : event->TaggedEntries("Tracker")) {
        auto obs = dynamic_cast<eic::EnergyDep *>(event->GetEntry(id));
        if (obs) {
            auto measurement = makeMeasurement(obs);
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            if (measurement) {
                available_obs.push_back(id);
                measurements[id] = measurement;
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                // double t_sum = 0;
                // double weight_sum = 0;
                // for (auto pos : obs->pos()) {
                //    double weight = pos.weightmod() + 1;
                //    t_sum += pos.mean().t() * weight;
                //    weight_sum += weight;
                //}
                // seed_sort_param[id] = t_sum / weight_sum;
                seed_sort_param[id] =
                    static_cast<eic::SimHit *>(event->GetEntry(obs->source(0)))->globalprepos().t();
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                // seed_sort_param[id] = measurement->getRawHitCoords().Norm2Sqr();
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            }
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        }
    }

    auto seed_sort_fn = [&](const uint64_t a_id, const uint64_t b_id) {
        return seed_sort_param[a_id] > seed_sort_param[b_id];
    };

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    while (available_obs.size() >= n_validate) {
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        // build track seed
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        std::vector<uint64_t> track_obs;
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        std::sort(available_obs.begin(), available_obs.end(), seed_sort_fn);
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        track_obs.push_back(available_obs.back());
        available_obs.pop_back();
        auto measurement = measurements[track_obs[0]];
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        TVector3 ip_pos(0, 0, 0);
        auto meas_coords = measurement->getRawHitCoords();
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        TVector3 meas_pos(0.01 * meas_coords[0], 0.01 * meas_coords[1], 0.01 * meas_coords[2]);
        auto kernel_sort_fn = [&](const uint64_t a_id, const uint64_t b_id) {
            auto a_coords = measurements[a_id]->getRawHitCoords();
            TVector3 a_pos(a_coords[0], a_coords[1], a_coords[2]);
            auto b_coords = measurements[b_id]->getRawHitCoords();
            TVector3 b_pos(b_coords[0], b_coords[1], b_coords[2]);
            return meas_pos.Dot(a_pos) / a_pos.Mag() > meas_pos.Dot(b_pos) / b_pos.Mag();
        };
        std::sort(available_obs.begin(), available_obs.end(), kernel_sort_fn);
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        auto track = new genfit::Track;
        track->setStateSeed(ip_pos, meas_pos);
        track->addTrackRep(new genfit::RKTrackRep(11));
        track->addTrackRep(new genfit::RKTrackRep(13));
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        int n_seed = 5;
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        for (int i = 1; i < n_seed; i++) track_obs.push_back(available_obs[i - 1]);
        for (auto id : track_obs) {
            track->insertMeasurement(measurements[id]->clone());
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            meas_coords = measurements[id]->getRawHitCoords();
            std::cout << meas_coords[0] << "\t" << meas_coords[1] << "\t" << meas_coords[2] << std::endl;
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            track->getPoint(-1)->setSortingParameter(seed_sort_param[id]);
        }
        available_obs.erase(available_obs.begin(), available_obs.begin() + n_seed - 1);
        track->sort();
        for (auto rep : track->getTrackReps()) fitter->processTrackPartially(track, rep, 0, -1);

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        for (auto iter = available_obs.begin(); iter != available_obs.end();) {
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            auto tmp_track = new genfit::Track;
            tmp_track->setStateSeed(ip_pos, meas_pos);
            tmp_track->addTrackRep(new genfit::RKTrackRep(11));
            tmp_track->addTrackRep(new genfit::RKTrackRep(13));
            for (auto id : track_obs) {
                tmp_track->insertMeasurement(measurements[id]->clone());
                tmp_track->getPoint(-1)->setSortingParameter(seed_sort_param[id]);
            }

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            auto measurement = measurements[*iter];
            auto coords = measurement->getRawHitCoords();
            std::cout << coords[0] << "\t" << coords[1] << "\t" << coords[2] << std::endl;
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            tmp_track->insertMeasurement(measurements[*iter]->clone());
            auto track_point = tmp_track->getPoint(-1);
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            track_point->setSortingParameter(seed_sort_param[*iter]);
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            tmp_track->sort();
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            // process and check for goodness
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            std::vector<genfit::AbsTrackRep *> all_reps(tmp_track->getTrackReps());
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            std::vector<genfit::AbsTrackRep *> bad_reps;
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            if (tmp_track->getNumPoints() >= n_validate) {
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                for (auto rep : all_reps) {
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                    fitter->processTrackPartially(tmp_track, rep, 0, -1);
                    tmp_track->reverseTrack();
                    fitter->processTrackPartially(tmp_track, rep, 0, -1);
                    tmp_track->reverseTrack();
                    fitter->processTrackPartially(tmp_track, rep, 0, -1);
                    // auto fi = static_cast<genfit::KalmanFitterInfo
                    // *>(track_point->getKalmanFitterInfo(rep)); if (!fi) {
                    //    bad_reps.push_back(rep);
                    //    continue;
                    //}
                    // auto update = fi->getUpdate(1);
                    // auto chi2_inc = update->getChiSquareIncrement() / update->getNdf();
                    // std::cout << "chi2_inc for pdg code " << rep->getPDG() << ": " << chi2_inc <<
                    // std::endl; if (chi2_inc > 5) {
                    //    bad_reps.push_back(rep);
                    //    continue;
                    //}
                    // try {
                    //    auto pval = fitter->getPVal(tmp_track, rep, 1);
                    //    std::cout << "pval for pdg code " << rep->getPDG() << ": " << pval << std::endl;
                    //    if (fabs(pval - 0.5) < .49) continue;
                    //} catch (genfit::Exception e) {
                    //    ;
                    //}
                    double chi2 = 0;
                    double ndf = -1. * rep->getDim();
                    auto points = tmp_track->getPointsWithMeasurement();
                    for (auto iter = points.begin() + 0; iter != points.end(); iter++) {
                        auto fi = (*iter)->getKalmanFitterInfo(rep);
                        if (!fi) continue;
                        auto update = fi->getForwardUpdate();
                        chi2 += update->getChiSquareIncrement();
                        std::cout << "chi2 inc: " << update->getChiSquareIncrement() << std::endl;
                        ndf += update->getNdf();
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                    }
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                    std::cout << "chi2: " << chi2 << ", ndf: " << ndf << std::endl;
                    double pval = std::max(0., ROOT::Math::chisquared_cdf_c(chi2, ndf));
                    std::cout << "pval for pdg code " << rep->getPDG() << ": " << pval << std::endl;
                    if (fabs(pval - 0.5) < 0.49) continue;
                    bad_reps.push_back(rep);
                    // auto len = tmp_track->getTrackLen(rep, -2, -1);
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                    // if (len < 0) {
                    //    bad_reps.push_back(rep);
                    //    continue;
                    //}
                }
                if (bad_reps.size() == all_reps.size()) {
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                    iter++;
                    std::cout << "skipping hit" << std::endl;
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                    break;
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                }
            }

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            // clear bad track reps and pop hit from available list
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            for (auto rep : bad_reps) tmp_track->deleteTrackRep(tmp_track->getIdForRep(rep));
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            track_obs.push_back(*iter);
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            delete track;
            track = tmp_track;
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            iter = available_obs.erase(iter);
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        }
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        track->determineCardinalRep();
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        // fit and prune track
        std::cout << "track_obs.size(): " << track_obs.size() << std::endl;
        while (track_obs.size() >= n_validate) {
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            auto rep = track->getCardinalRep();
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            fitter->processTrackWithRep(track, rep);
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            if (track->getFitStatus(rep)->isFitConverged()) {
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                auto eic_track = new eic::Track;
                try {
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                    std::cout << "successful fit" << std::endl;
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                    auto fieldMgr = genfit::FieldManager::getInstance();
                    for (unsigned int id = 0; id < track->getNumPoints() - 1; id++) {
                        auto point = track->getPointWithMeasurement(id);
                        auto info = point->getFitterInfo(rep);
                        auto state = info->getFittedState();
                        TVector3 pos = rep->getPos(state);
                        TVector3 mom = rep->getMom(state);
                        TVector3 field = fieldMgr->getFieldVal(pos);
                        double charge = rep->getCharge(state);
                        double chargeMag = abs(charge);
                        double time = rep->getTime(state);
                        double length = track->getTrackLen(rep, id, id + 1);

                        auto segment = eic_track->add_segment();
                        auto vertex = segment->mutable_vertex();
                        vertex->set_x(pos.x() * 10);
                        vertex->set_y(pos.y() * 10);
                        vertex->set_z(pos.z() * 10);
                        vertex->set_t(time);
                        auto poq = segment->mutable_poq();
                        poq->set_x(mom.x() / chargeMag);
                        poq->set_y(mom.y() / chargeMag);
                        poq->set_z(mom.z() / chargeMag);
                        auto magfield = segment->mutable_magfield();
                        magfield->set_x(field.x() / 10);
                        magfield->set_y(field.y() / 10);
                        magfield->set_z(field.z() / 10);
                        segment->set_chargesign(charge);
                        segment->set_length(length * 10);
                    }
                    auto entryID = event->AddEntry(eic_track, "Tracker");
                    event->TagEntry(entryID, "Reconstructed");
                    event->TagEntry(entryID, "Vis");
                } catch (const genfit::Exception e) {
                    std::cout << e.what() << std::endl;
                }

                track_obs.clear();
                break;
            } else {
                std::cout << "failed to converge" << std::endl;

                double max_chi2_inc = 0;
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                int max_chi2_inc_i = 0;
                for (int i = 0; i < track_obs.size(); i++) {
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                    auto fi =
                        static_cast<genfit::KalmanFitterInfo *>(track->getPoint(i)->getKalmanFitterInfo(rep));
                    if (!fi) {
                        max_chi2_inc_i = i;
                        break;
                    }
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                    auto update = fi->getUpdate(1);
                    if (!update) {
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                        max_chi2_inc_i = i;
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                        break;
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                    }
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                    auto chi2_inc = update->getChiSquareIncrement();
                    // auto chi2_inc = fi->getSmoothedChi2();
                    // if (chi2_inc > max_chi2_inc) {
                    //    max_chi2_inc = chi2_inc;
                    //    max_chi2_inc_i = i;
                    //}
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                }
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                if (max_chi2_inc_i == 0) {
                    std::cout << "breaking fit" << std::endl;
                    break;
                }
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                track_obs.erase(track_obs.begin() + max_chi2_inc_i);
                track->deletePoint(max_chi2_inc_i);
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            }
        }

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        // return unconsumed hits to available list
        // std::sort(available_obs.begin(), available_obs.end(), seed_sort_fn);
        // seed_sort_param[track_obs[0]] += seed_sort_param[available_obs.back()];
        // std::sort(available_obs.begin(), available_obs.end(), seed_sort_fn);
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        for (int i = 1; i < track_obs.size(); i++) available_obs.push_back(track_obs[i]);
        // for (auto id : track_obs) available_obs.push_back(id);
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        delete track;
    }

    for (auto idMeasPair : measurements) delete idMeasPair.second;
}

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void printUsage() {
    std::cerr << "Usage: eictrack [options] <input proio file> <output proio file>\n";
    std::cerr << "options:\n";
    std::cerr << "  -c  output compression level: 0 for uncompressed, 1 for LZ4 compression, 2 for GZIP\n"
                 "      compression (default 1))\n";
    std::cerr << std::endl;
}

int main(int argc, char **argv) {
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    class NullBuffer : public std::streambuf {
       public:
        int overflow(int c) { return c; }
    };
    NullBuffer nullBuffer;
    genfit::errorOut.rdbuf(&nullBuffer);
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    genfit::MaterialEffects::getInstance()->setNoEffects();
    genfit::MaterialEffects::getInstance()->setEnergyLossBrems(false);
    genfit::KalmanFitter fitter;
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    fitter.setMaxIterations(100);
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    int comp = 0;
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    int n_validate = 5;

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    int opt;
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    while ((opt = getopt(argc, argv, "c:n:h")) != -1) {
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        switch (opt) {
            case 'c':
                comp = atoi(optarg);
                break;
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            case 'n':
                n_validate = atoi(optarg);
                if (n_validate < 2) {
                    std::cerr << "n must be >= 2" << std::endl;
                    exit(EXIT_FAILURE);
                }
                break;
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            default:
                printUsage();
                exit(EXIT_FAILURE);
        }
    }

    std::string inputFilename;
    std::string outputFilename;
    if (optind + 1 < argc) {
        inputFilename = argv[optind];
        outputFilename = argv[optind + 1];
    } else {
        printUsage();
        exit(EXIT_FAILURE);
    }

    auto reader = new proio::Reader(inputFilename);
    auto writer = new proio::Writer(outputFilename);
    switch (comp) {
        case 1:
            writer->SetCompression(proio::LZ4);
            break;
        case 2:
            writer->SetCompression(proio::GZIP);
            break;
        default:
            writer->SetCompression(proio::UNCOMPRESSED);
    }

    proio::Event event;
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    int n_events = 0;
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    while (reader->Next(&event)) {
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        std::cout << "event " << n_events << std::endl;
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        checkMetadata(&event);
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        trackEvent(&event, n_validate, &fitter);
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        writer->Push(&event);
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        n_events++;
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        if (n_events == 2) break;
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    }

    delete writer;
    delete reader;
}