163 lines
4.5 KiB
C++
163 lines
4.5 KiB
C++
/*+
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This is CosmoTool (./sample/testkd2.cpp) -- Copyright (C) Guilhem Lavaux (2007-2013)
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guilhem.lavaux@gmail.com
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This software is a computer program whose purpose is to provide a toolbox for cosmological
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data analysis (e.g. filters, generalized Fourier transforms, power spectra, ...)
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This software is governed by the CeCILL license under French law and
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abiding by the rules of distribution of free software. You can use,
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modify and/ or redistribute the software under the terms of the CeCILL
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license as circulated by CEA, CNRS and INRIA at the following URL
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"http://www.cecill.info".
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As a counterpart to the access to the source code and rights to copy,
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modify and redistribute granted by the license, users are provided only
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with a limited warranty and the software's author, the holder of the
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economic rights, and the successive licensors have only limited
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liability.
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In this respect, the user's attention is drawn to the risks associated
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with loading, using, modifying and/or developing or reproducing the
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software by the user in light of its specific status of free software,
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that may mean that it is complicated to manipulate, and that also
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therefore means that it is reserved for developers and experienced
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professionals having in-depth computer knowledge. Users are therefore
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encouraged to load and test the software's suitability as regards their
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requirements in conditions enabling the security of their systems and/or
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data to be ensured and, more generally, to use and operate it in the
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same conditions as regards security.
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The fact that you are presently reading this means that you have had
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knowledge of the CeCILL license and that you accept its terms.
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+*/
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#include <ctime>
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#include <cassert>
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#include <cstdlib>
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#include <iostream>
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#include <fstream>
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#define __KD_TREE_NUMNODES
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#include "mykdtree.hpp"
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#include "kdtree_splitters.hpp"
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#define NTRY 10
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#define ND 3
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using namespace std;
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using namespace CosmoTool;
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typedef KDTree<ND,char,ComputePrecision,KD_homogeneous_cell_splitter<ND, char> > MyTree;
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//typedef KDTree<ND,char,ComputePrecision > MyTree;
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typedef KDCell<ND,char> MyCell;
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MyCell *findNearest(MyTree::coords& xc, MyCell *cells, uint32_t Ncells)
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{
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MyCell *near2 = 0;
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double R2 = INFINITY;
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for (int i = 0; i < Ncells; i++)
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{
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double d2 = 0;
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for (int j = 0; j < ND; j++)
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{
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double delta = xc[j]-cells[i].coord[j];
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d2 += delta*delta;
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}
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if (d2 < R2)
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{
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near2 = &cells[i];
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R2 = d2;
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}
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}
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return near2;
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}
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int main()
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{
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uint32_t Ncells = 10000000;
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MyCell *cells = new MyCell[Ncells];
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for (int i = 0; i < Ncells; i++)
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{
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cells[i].active = true;
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for (int l = 0; l < ND; l++)
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cells[i].coord[l] = drand48();
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}
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// Check timing
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clock_t startTimer = clock();
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MyTree tree(cells, Ncells);
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clock_t endTimer = clock();
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clock_t delta = endTimer-startTimer;
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double myTime = delta*1.0/CLOCKS_PER_SEC * 1.0;
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cout << "KDTree build = " << myTime << " s" << endl;
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MyTree::coords *xc = new MyTree::coords[NTRY];
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cout << "Generating seeds..." << endl;
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for (int k = 0; k < NTRY; k++)
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{
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for (int l = 0; l < ND; l++)
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xc[k][l] = drand48();
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}
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// Check consistency
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cout << "Check consistency..." << endl;
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MyCell **ngb = new MyCell *[12];
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double *distances = new double[12];
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ofstream fngb("nearest.txt");
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for (int k = 0; k < NTRY; k++) {
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cout << "Seed = " << xc[k][0] << " " << xc[k][1] << " " << xc[k][2] << endl;
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tree.getNearestNeighbours(xc[k], 12, ngb, distances);
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int last = -1;
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for (uint32_t i = 0; i < 12; i++)
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{
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if (ngb[i] == 0)
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continue;
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last = i;
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double d2 = 0;
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for (int l = 0; l < 3; l++)
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d2 += ({double delta = xc[k][l] - ngb[i]->coord[l]; delta*delta;});
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fngb << ngb[i]->coord[0] << " " << ngb[i]->coord[1] << " " << ngb[i]->coord[2] << " " << sqrt(d2) << endl;
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}
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fngb << endl << endl;
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double farther_dist = distances[last];
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for (uint32_t i = 0; i < Ncells; i++)
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{
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bool found = false;
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// If the points is not in the list, it means it is farther than the farthest point
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for (int j =0; j < 12; j++)
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{
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if (&cells[i] == ngb[j]) {
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found = true;
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break;
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}
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}
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double dist_to_seed = 0;
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for (int l = 0; l < 3; l++)
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{
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double delta = xc[k][l]-cells[i].coord[l];
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dist_to_seed += delta*delta;
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}
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if (!found)
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{
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if (dist_to_seed <= farther_dist)
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abort();
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}
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else
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{
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if (dist_to_seed > farther_dist)
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abort();
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}
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}
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}
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return 0;
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}
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