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 // This file is part of the ACTS project.
 //
 // Copyright (C) 2016 CERN for the benefit of the ACTS project
 //
 // This Source Code Form is subject to the terms of the Mozilla Public
 // License, v. 2.0. If a copy of the MPL was not distributed with this
 // file, You can obtain one at https://mozilla.org/MPL/2.0/.
 
 #include <boost/test/unit_test.hpp>
 
 #include "Acts/Definitions/Algebra.hpp"
 #include "Acts/Definitions/Direction.hpp"
 #include "Acts/Definitions/TrackParametrization.hpp"
 #include "Acts/Definitions/Units.hpp"
 #include "Acts/EventData/GenericBoundTrackParameters.hpp"
 #include "Acts/EventData/TrackParameters.hpp"
 #include "Acts/Geometry/GeometryContext.hpp"
 #include "Acts/Geometry/GeometryIdentifier.hpp"
 #include "Acts/MagneticField/ConstantBField.hpp"
 #include "Acts/MagneticField/MagneticFieldContext.hpp"
 #include "Acts/Propagator/EigenStepper.hpp"
 #include "Acts/Propagator/Propagator.hpp"
 #include "Acts/Utilities/AnnealingUtility.hpp"
 #include "Acts/Utilities/Helpers.hpp"
 #include "Acts/Utilities/Result.hpp"
 #include "Acts/Vertexing/AdaptiveGridDensityVertexFinder.hpp"
 #include "Acts/Vertexing/AdaptiveMultiVertexFinder.hpp"
 #include "Acts/Vertexing/AdaptiveMultiVertexFitter.hpp"
 #include "Acts/Vertexing/GaussianTrackDensity.hpp"
 #include "Acts/Vertexing/GridDensityVertexFinder.hpp"
 #include "Acts/Vertexing/HelicalTrackLinearizer.hpp"
 #include "Acts/Vertexing/IVertexFinder.hpp"
 #include "Acts/Vertexing/ImpactPointEstimator.hpp"
 #include "Acts/Vertexing/TrackAtVertex.hpp"
 #include "Acts/Vertexing/TrackDensityVertexFinder.hpp"
 #include "Acts/Vertexing/Vertex.hpp"
 #include "Acts/Vertexing/VertexingOptions.hpp"
 #include "ActsTests/CommonHelpers/FloatComparisons.hpp"
 
 #include <algorithm>
 #include <array>
 #include <chrono>
 #include <cmath>
 #include <functional>
 #include <iostream>
 #include <map>
 #include <memory>
 #include <numbers>
 #include <string>
 #include <system_error>
 #include <tuple>
 #include <utility>
 #include <vector>
 
 #include "VertexingDataHelper.hpp"
 
 using namespace Acts;
 using namespace Acts::UnitLiterals;
 
 namespace ActsTests {
 
 using Covariance = BoundSquareMatrix;
 using Propagator = Acts::Propagator<EigenStepper<>>;
 using Linearizer = HelicalTrackLinearizer;
 
 // Create a test context
 GeometryContext geoContext = GeometryContext();
 MagneticFieldContext magFieldContext = MagneticFieldContext();
 
 const std::string toolString = "AMVF";
 
 BOOST_AUTO_TEST_SUITE(VertexingSuite)
 
 /// @brief AMVF test with Gaussian seed finder
 BOOST_AUTO_TEST_CASE(adaptive_multi_vertex_finder_test) {
   // Set debug mode
   bool debugMode = false;
   // Set up constant B-Field
   auto bField = std::make_shared<ConstantBField>(Vector3(0., 0., 2_T));
 
   // Set up EigenStepper
   // EigenStepper<> stepper(bField);
   EigenStepper<> stepper(bField);
 
   // Set up propagator with void navigator
   auto propagator = std::make_shared<Propagator>(stepper);
 
   // IP 3D Estimator
   ImpactPointEstimator::Config ipEstimatorCfg(bField, propagator);
   ImpactPointEstimator ipEstimator(ipEstimatorCfg);
 
   std::vector<double> temperatures{
       8., 4., 2., std::numbers::sqrt2, std::sqrt(3. / 2.), 1.};
   AnnealingUtility::Config annealingConfig;
   annealingConfig.setOfTemperatures = temperatures;
   AnnealingUtility annealingUtility(annealingConfig);
 
   using Fitter = AdaptiveMultiVertexFitter;
 
   Fitter::Config fitterCfg(ipEstimator);
 
   fitterCfg.annealingTool = annealingUtility;
 
   // Linearizer for BoundTrackParameters type test
   Linearizer::Config ltConfig;
   ltConfig.bField = bField;
   ltConfig.propagator = propagator;
   Linearizer linearizer(ltConfig);
 
   // Test smoothing
   fitterCfg.doSmoothing = true;
   fitterCfg.extractParameters.connect<&InputTrack::extractParameters>();
   fitterCfg.trackLinearizer.connect<&Linearizer::linearizeTrack>(&linearizer);
 
   Fitter fitter(fitterCfg);
 
   GaussianTrackDensity::Config densityCfg;
   densityCfg.extractParameters.connect<&InputTrack::extractParameters>();
   auto seedFinder = std::make_shared<TrackDensityVertexFinder>(
       TrackDensityVertexFinder::Config{Acts::GaussianTrackDensity(densityCfg)});
 
   AdaptiveMultiVertexFinder::Config finderConfig(std::move(fitter), seedFinder,
                                                  ipEstimator, bField);
   finderConfig.extractParameters.connect<&InputTrack::extractParameters>();
 
   AdaptiveMultiVertexFinder finder(std::move(finderConfig));
   IVertexFinder::State state = finder.makeState(magFieldContext);
 
   auto csvData = readTracksAndVertexCSV(toolString);
   std::vector<BoundTrackParameters> tracks = std::get<TracksData>(csvData);
 
   if (debugMode) {
     std::cout << "Number of tracks in event: " << tracks.size() << std::endl;
     int maxCout = 10;
     int count = 0;
     for (const auto& trk : tracks) {
       std::cout << count << ". track: " << std::endl;
       std::cout << "params: " << trk << std::endl;
       count++;
       if (count == maxCout) {
         break;
       }
     }
   }
 
   std::vector<InputTrack> inputTracks;
   for (const auto& trk : tracks) {
     inputTracks.emplace_back(&trk);
   }
 
   // TODO: test without using beam spot constraint
   Vertex bsConstr = std::get<BeamSpotData>(csvData);
   VertexingOptions vertexingOptions(geoContext, magFieldContext, bsConstr);
 
   auto t1 = std::chrono::system_clock::now();
   auto findResult = finder.find(inputTracks, vertexingOptions, state);
   auto t2 = std::chrono::system_clock::now();
 
   auto timediff =
       std::chrono::duration_cast<std::chrono::milliseconds>(t2 - t1).count();
 
   if (!findResult.ok()) {
     std::cout << findResult.error().message() << std::endl;
   }
 
   BOOST_CHECK(findResult.ok());
 
   std::vector<Vertex> allVertices = *findResult;
 
   if (debugMode) {
     std::cout << "Time needed: " << timediff << " ms." << std::endl;
     std::cout << "Number of vertices reconstructed: " << allVertices.size()
               << std::endl;
 
     int count = 0;
     for (const auto& vtx : allVertices) {
       count++;
       std::cout << count << ". Vertex at position: " << vtx.position()[0]
                 << ", " << vtx.position()[1] << ", " << vtx.position()[2]
                 << std::endl;
       std::cout << count << ". Vertex with cov: " << vtx.covariance()
                 << std::endl;
       std::cout << "\t with n tracks: " << vtx.tracks().size() << std::endl;
     }
   }
 
   // Test expected outcomes from athena implementation
   // Number of reconstructed vertices
   auto verticesInfo = std::get<VerticesData>(csvData);
   const int expNRecoVertices = verticesInfo.size();
 
   BOOST_CHECK_EQUAL(allVertices.size(), expNRecoVertices);
 
   double relTol = 1e-2;
   double small = 1e-3;
   for (int i = 0; i < expNRecoVertices; i++) {
     auto recoVtx = allVertices[i];
     auto expVtx = verticesInfo[i];
     CHECK_CLOSE_OR_SMALL(recoVtx.position(), expVtx.position, relTol, small);
     CHECK_CLOSE_OR_SMALL(recoVtx.covariance(), expVtx.covariance, relTol,
                          small);
     BOOST_CHECK_EQUAL(recoVtx.tracks().size(), expVtx.nTracks);
     CHECK_CLOSE_OR_SMALL(recoVtx.tracks()[0].trackWeight, expVtx.trk1Weight,
                          relTol, small);
     CHECK_CLOSE_OR_SMALL(recoVtx.tracks()[0].vertexCompatibility,
                          expVtx.trk1Comp, relTol, small);
   }
 }
 
 // Dummy user-defined InputTrackStub type
 struct InputTrackStub {
   InputTrackStub(const BoundTrackParameters& params, int id)
       : m_parameters(params), m_id(id) {}
 
   const BoundTrackParameters& parameters() const { return m_parameters; }
   // store e.g. link to original objects here
 
   int id() const { return m_id; }
 
  private:
   BoundTrackParameters m_parameters;
 
   // Some test track ID
   int m_id;
 };
 
 /// @brief AMVF test with user-defined input track type
 BOOST_AUTO_TEST_CASE(adaptive_multi_vertex_finder_usertype_test) {
   // Set debug mode
   bool debugMode = false;
   // Set up constant B-Field
   auto bField = std::make_shared<ConstantBField>(Vector3(0., 0., 2_T));
 
   // Set up EigenStepper
   // EigenStepper<> stepper(bField);
   EigenStepper<> stepper(bField);
 
   // Set up propagator with void navigator
   auto propagator = std::make_shared<Propagator>(stepper);
 
   // Create a custom std::function to extract BoundTrackParameters from
   // user-defined InputTrackStub
   auto extractParameters = [](const InputTrack& track) {
     return track.as<InputTrackStub>()->parameters();
   };
 
   // IP 3D Estimator
   ImpactPointEstimator::Config ipEstimatorCfg(bField, propagator);
   ImpactPointEstimator ipEstimator(ipEstimatorCfg);
 
   std::vector<double> temperatures{
       8., 4., 2., std::numbers::sqrt2, std::sqrt(3. / 2.), 1.};
   AnnealingUtility::Config annealingConfig;
   annealingConfig.setOfTemperatures = temperatures;
   AnnealingUtility annealingUtility(annealingConfig);
 
   using Fitter = AdaptiveMultiVertexFitter;
 
   Fitter::Config fitterCfg(ipEstimator);
 
   fitterCfg.annealingTool = annealingUtility;
 
   // Linearizer
   Linearizer::Config ltConfig;
   ltConfig.bField = bField;
   ltConfig.propagator = propagator;
   Linearizer linearizer(ltConfig);
 
   // Test smoothing
   fitterCfg.doSmoothing = true;
   fitterCfg.extractParameters.connect(extractParameters);
   fitterCfg.trackLinearizer.connect<&Linearizer::linearizeTrack>(&linearizer);
 
   Fitter fitter(fitterCfg);
 
   GaussianTrackDensity::Config densityCfg;
   densityCfg.extractParameters.connect(extractParameters);
   auto seedFinder = std::make_shared<TrackDensityVertexFinder>(
       TrackDensityVertexFinder::Config{Acts::GaussianTrackDensity(densityCfg)});
 
   AdaptiveMultiVertexFinder::Config finderConfig(
       std::move(fitter), std::move(seedFinder), ipEstimator, bField);
   finderConfig.extractParameters.connect(extractParameters);
 
   AdaptiveMultiVertexFinder finder(std::move(finderConfig));
   IVertexFinder::State state = finder.makeState(magFieldContext);
 
   auto csvData = readTracksAndVertexCSV(toolString);
   auto tracks = std::get<TracksData>(csvData);
 
   std::vector<InputTrackStub> userTracks;
   int idCount = 0;
   for (const auto& trk : tracks) {
     userTracks.push_back(InputTrackStub(trk, idCount));
     idCount++;
   }
 
   if (debugMode) {
     std::cout << "Number of tracks in event: " << tracks.size() << std::endl;
     int maxCout = 10;
     int count = 0;
     for (const auto& trk : tracks) {
       std::cout << count << ". track: " << std::endl;
       std::cout << "params: " << trk << std::endl;
       count++;
       if (count == maxCout) {
         break;
       }
     }
   }
 
   std::vector<InputTrack> userInputTracks;
   for (const auto& trk : userTracks) {
     userInputTracks.emplace_back(&trk);
   }
 
   Vertex constraintVtx;
   constraintVtx.setPosition(std::get<BeamSpotData>(csvData).position());
   constraintVtx.setCovariance(std::get<BeamSpotData>(csvData).covariance());
 
   VertexingOptions vertexingOptions(geoContext, magFieldContext, constraintVtx);
 
   auto findResult = finder.find(userInputTracks, vertexingOptions, state);
 
   if (!findResult.ok()) {
     std::cout << findResult.error().message() << std::endl;
   }
 
   BOOST_CHECK(findResult.ok());
 
   std::vector<Vertex> allVertices = *findResult;
 
   if (debugMode) {
     std::cout << "Number of vertices reconstructed: " << allVertices.size()
               << std::endl;
 
     int count = 0;
     for (const auto& vtx : allVertices) {
       count++;
       std::cout << count << ". Vertex at position: " << vtx.position()[0]
                 << ", " << vtx.position()[1] << ", " << vtx.position()[2]
                 << std::endl;
       std::cout << count << ". Vertex with cov: " << vtx.covariance()
                 << std::endl;
       std::cout << "\t with n tracks: " << vtx.tracks().size() << std::endl;
     }
     for (auto& trk : allVertices[0].tracks()) {
       std::cout << "Track ID at first vertex: "
                 << trk.originalParams.as<InputTrackStub>()->id() << std::endl;
     }
   }
 
   auto verticesInfo = std::get<VerticesData>(csvData);
   const int expNRecoVertices = verticesInfo.size();
 
   BOOST_CHECK_EQUAL(allVertices.size(), expNRecoVertices);
 
   double relTol = 1e-2;
   double small = 1e-3;
   for (int i = 0; i < expNRecoVertices; i++) {
     auto recoVtx = allVertices[i];
     auto expVtx = verticesInfo[i];
     CHECK_CLOSE_OR_SMALL(recoVtx.position(), expVtx.position, relTol, small);
     CHECK_CLOSE_OR_SMALL(recoVtx.covariance(), expVtx.covariance, relTol,
                          small);
     BOOST_CHECK_EQUAL(recoVtx.tracks().size(), expVtx.nTracks);
     CHECK_CLOSE_OR_SMALL(recoVtx.tracks()[0].trackWeight, expVtx.trk1Weight,
                          relTol, small);
     CHECK_CLOSE_OR_SMALL(recoVtx.tracks()[0].vertexCompatibility,
                          expVtx.trk1Comp, relTol, small);
   }
 }
 
 /// @brief AMVF test with grid seed finder
 BOOST_AUTO_TEST_CASE(adaptive_multi_vertex_finder_grid_seed_finder_test) {
   // Set debug mode
   bool debugMode = false;
   if (debugMode) {
     std::cout << "Starting AMVF test with grid seed finder..." << std::endl;
   }
   // Set up constant B-Field
   auto bField = std::make_shared<ConstantBField>(Vector3(0., 0., 2_T));
 
   // Set up EigenStepper
   // EigenStepper<> stepper(bField);
   EigenStepper<> stepper(bField);
 
   // Set up propagator with void navigator
   auto propagator = std::make_shared<Propagator>(stepper);
 
   // IP Estimator
   ImpactPointEstimator::Config ipEstCfg(bField, propagator);
   ImpactPointEstimator ipEst(ipEstCfg);
 
   std::vector<double> temperatures{
       8., 4., 2., std::numbers::sqrt2, std::sqrt(3. / 2.), 1.};
   AnnealingUtility::Config annealingConfig;
   annealingConfig.setOfTemperatures = temperatures;
   AnnealingUtility annealingUtility(annealingConfig);
 
   using Fitter = AdaptiveMultiVertexFitter;
 
   Fitter::Config fitterCfg(ipEst);
 
   fitterCfg.annealingTool = annealingUtility;
 
   // Linearizer for BoundTrackParameters type test
   Linearizer::Config ltConfig;
   ltConfig.bField = bField;
   ltConfig.propagator = propagator;
   Linearizer linearizer(ltConfig);
 
   // Test smoothing
   fitterCfg.doSmoothing = true;
   fitterCfg.extractParameters.connect<&InputTrack::extractParameters>();
   fitterCfg.trackLinearizer.connect<&Linearizer::linearizeTrack>(&linearizer);
 
   Fitter fitter(fitterCfg);
 
   using SeedFinder = GridDensityVertexFinder;
   GaussianGridTrackDensity::Config gDensityConfig(250, 4000, 55);
   GaussianGridTrackDensity gDensity(gDensityConfig);
   SeedFinder::Config seedFinderCfg(gDensity);
   seedFinderCfg.cacheGridStateForTrackRemoval = true;
   seedFinderCfg.extractParameters.connect<&InputTrack::extractParameters>();
 
   auto seedFinder = std::make_shared<SeedFinder>(seedFinderCfg);
 
   AdaptiveMultiVertexFinder::Config finderConfig(
       std::move(fitter), std::move(seedFinder), ipEst, bField);
   finderConfig.extractParameters.connect<&InputTrack::extractParameters>();
 
   AdaptiveMultiVertexFinder finder(std::move(finderConfig));
   IVertexFinder::State state = finder.makeState(magFieldContext);
 
   auto csvData = readTracksAndVertexCSV(toolString);
   auto tracks = std::get<TracksData>(csvData);
 
   if (debugMode) {
     std::cout << "Number of tracks in event: " << tracks.size() << std::endl;
     int maxCout = 10;
     int count = 0;
     for (const auto& trk : tracks) {
       std::cout << count << ". track: " << std::endl;
       std::cout << "params: " << trk << std::endl;
       count++;
       if (count == maxCout) {
         break;
       }
     }
   }
 
   std::vector<InputTrack> inputTracks;
   for (const auto& trk : tracks) {
     inputTracks.emplace_back(&trk);
   }
 
   // TODO: test using beam spot constraint
   Vertex bsConstr = std::get<BeamSpotData>(csvData);
   VertexingOptions vertexingOptions(geoContext, magFieldContext, bsConstr);
 
   auto t1 = std::chrono::system_clock::now();
   auto findResult = finder.find(inputTracks, vertexingOptions, state);
   auto t2 = std::chrono::system_clock::now();
 
   auto timediff =
       std::chrono::duration_cast<std::chrono::milliseconds>(t2 - t1).count();
 
   if (!findResult.ok()) {
     std::cout << findResult.error().message() << std::endl;
   }
 
   BOOST_CHECK(findResult.ok());
 
   std::vector<Vertex> allVertices = *findResult;
 
   if (debugMode) {
     std::cout << "Time needed: " << timediff << " ms." << std::endl;
     std::cout << "Number of vertices reconstructed: " << allVertices.size()
               << std::endl;
 
     int count = 0;
     for (const auto& vtx : allVertices) {
       count++;
       std::cout << count << ". Vertex at position: " << vtx.position()[0]
                 << ", " << vtx.position()[1] << ", " << vtx.position()[2]
                 << std::endl;
       std::cout << count << ". Vertex with cov: " << vtx.covariance()
                 << std::endl;
       std::cout << "\t with n tracks: " << vtx.tracks().size() << std::endl;
     }
   }
   // Test expected outcomes from athena implementation
   // Number of reconstructed vertices
   auto verticesInfo = std::get<VerticesData>(csvData);
   const int expNRecoVertices = verticesInfo.size();
 
   BOOST_CHECK_EQUAL(allVertices.size(), expNRecoVertices);
   std::vector<bool> vtxFound(expNRecoVertices, false);
 
   for (const auto& vtx : allVertices) {
     double vtxZ = vtx.position()[2];
     double diffZ = 1e5;
     int foundVtxIdx = -1;
     for (int i = 0; i < expNRecoVertices; i++) {
       if (!vtxFound[i]) {
         if (std::abs(vtxZ - verticesInfo[i].position[2]) < diffZ) {
           diffZ = std::abs(vtxZ - verticesInfo[i].position[2]);
           foundVtxIdx = i;
         }
       }
     }
     if (diffZ < 0.5_mm) {
       vtxFound[foundVtxIdx] = true;
       CHECK_CLOSE_ABS(vtx.tracks().size(), verticesInfo[foundVtxIdx].nTracks,
                       1);
     }
   }
   for (bool found : vtxFound) {
     BOOST_CHECK_EQUAL(found, true);
   }
 }
 
 /// @brief AMVF test with adaptive grid seed finder
 BOOST_AUTO_TEST_CASE(
     adaptive_multi_vertex_finder_adaptive_grid_seed_finder_test) {
   // Set debug mode
   bool debugMode = false;
   if (debugMode) {
     std::cout << "Starting AMVF test with adaptive grid seed finder..."
               << std::endl;
   }
   // Set up constant B-Field
   auto bField = std::make_shared<ConstantBField>(Vector3(0., 0., 2_T));
 
   // Set up EigenStepper
   // EigenStepper<> stepper(bField);
   EigenStepper<> stepper(bField);
 
   // Set up propagator with void navigator
   auto propagator = std::make_shared<Propagator>(stepper);
 
   // IP Estimator
   ImpactPointEstimator::Config ipEstCfg(bField, propagator);
   ImpactPointEstimator ipEst(ipEstCfg);
 
   std::vector<double> temperatures{
       8., 4., 2., std::numbers::sqrt2, std::sqrt(3. / 2.), 1.};
   AnnealingUtility::Config annealingConfig;
   annealingConfig.setOfTemperatures = temperatures;
   AnnealingUtility annealingUtility(annealingConfig);
 
   using Fitter = AdaptiveMultiVertexFitter;
 
   Fitter::Config fitterCfg(ipEst);
 
   fitterCfg.annealingTool = annealingUtility;
 
   // Linearizer for BoundTrackParameters type test
   Linearizer::Config ltConfig;
   ltConfig.bField = bField;
   ltConfig.propagator = propagator;
   Linearizer linearizer(ltConfig);
 
   // Test smoothing
   fitterCfg.doSmoothing = true;
   fitterCfg.extractParameters.connect<&InputTrack::extractParameters>();
   fitterCfg.trackLinearizer.connect<&Linearizer::linearizeTrack>(&linearizer);
 
   Fitter fitter(fitterCfg);
 
   // Grid density used during vertex seed finding
   AdaptiveGridTrackDensity::Config gridDensityCfg;
   // force track to have exactly spatialTrkGridSize spatial bins for testing
   // purposes
   gridDensityCfg.spatialTrkGridSizeRange = {55, 55};
   gridDensityCfg.spatialBinExtent = 0.05;
   AdaptiveGridTrackDensity gridDensity(gridDensityCfg);
 
   using SeedFinder = AdaptiveGridDensityVertexFinder;
   SeedFinder::Config seedFinderCfg(gridDensity);
   seedFinderCfg.cacheGridStateForTrackRemoval = true;
   seedFinderCfg.extractParameters.connect<&InputTrack::extractParameters>();
 
   auto seedFinder = std::make_shared<SeedFinder>(seedFinderCfg);
 
   AdaptiveMultiVertexFinder::Config finderConfig(
       std::move(fitter), std::move(seedFinder), ipEst, bField);
   finderConfig.extractParameters.connect<&InputTrack::extractParameters>();
 
   AdaptiveMultiVertexFinder finder(std::move(finderConfig));
   IVertexFinder::State state = finder.makeState(magFieldContext);
 
   auto csvData = readTracksAndVertexCSV(toolString);
   auto tracks = std::get<TracksData>(csvData);
 
   if (debugMode) {
     std::cout << "Number of tracks in event: " << tracks.size() << std::endl;
     int maxCout = 10;
     int count = 0;
     for (const auto& trk : tracks) {
       std::cout << count << ". track: " << std::endl;
       std::cout << "params: " << trk << std::endl;
       count++;
       if (count == maxCout) {
         break;
       }
     }
   }
 
   std::vector<InputTrack> inputTracks;
   for (const auto& trk : tracks) {
     inputTracks.emplace_back(&trk);
   }
 
   Vertex bsConstr = std::get<BeamSpotData>(csvData);
   VertexingOptions vertexingOptions(geoContext, magFieldContext, bsConstr);
 
   auto t1 = std::chrono::system_clock::now();
   auto findResult = finder.find(inputTracks, vertexingOptions, state);
   auto t2 = std::chrono::system_clock::now();
 
   auto timediff =
       std::chrono::duration_cast<std::chrono::milliseconds>(t2 - t1).count();
 
   if (!findResult.ok()) {
     std::cout << findResult.error().message() << std::endl;
   }
 
   BOOST_CHECK(findResult.ok());
 
   std::vector<Vertex> allVertices = *findResult;
 
   if (debugMode) {
     std::cout << "Time needed: " << timediff << " ms." << std::endl;
     std::cout << "Number of vertices reconstructed: " << allVertices.size()
               << std::endl;
 
     int count = 0;
     for (const auto& vtx : allVertices) {
       count++;
       std::cout << count << ". Vertex at position: " << vtx.position()[0]
                 << ", " << vtx.position()[1] << ", " << vtx.position()[2]
                 << std::endl;
       std::cout << count << ". Vertex with cov: " << vtx.covariance()
                 << std::endl;
       std::cout << "\t with n tracks: " << vtx.tracks().size() << std::endl;
     }
   }
   // Test expected outcomes from athena implementation
   // Number of reconstructed vertices
   auto verticesInfo = std::get<VerticesData>(csvData);
   const int expNRecoVertices = verticesInfo.size();
 
   BOOST_CHECK_EQUAL(allVertices.size(), expNRecoVertices);
   std::vector<bool> vtxFound(expNRecoVertices, false);
 
   for (const auto& vtx : allVertices) {
     double vtxZ = vtx.position()[2];
     double diffZ = 1e5;
     int foundVtxIdx = -1;
     for (int i = 0; i < expNRecoVertices; i++) {
       if (!vtxFound[i]) {
         if (std::abs(vtxZ - verticesInfo[i].position[2]) < diffZ) {
           diffZ = std::abs(vtxZ - verticesInfo[i].position[2]);
           foundVtxIdx = i;
         }
       }
     }
     if (diffZ < 0.5_mm) {
       vtxFound[foundVtxIdx] = true;
       CHECK_CLOSE_ABS(vtx.tracks().size(), verticesInfo[foundVtxIdx].nTracks,
                       2);
     }
   }
   for (bool found : vtxFound) {
     BOOST_CHECK_EQUAL(found, true);
   }
 }
 
 BOOST_AUTO_TEST_SUITE_END()
 
 }  // namespace ActsTests

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