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ENH: test: Add test for dynamicIndexedOctree
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3
applications/test/dynamicIndexedOctree/Make/files
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3
applications/test/dynamicIndexedOctree/Make/files
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Test-dynamicIndexedOctree.C
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EXE = $(FOAM_USER_APPBIN)/Test-dynamicIndexedOctree
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3
applications/test/dynamicIndexedOctree/Make/options
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3
applications/test/dynamicIndexedOctree/Make/options
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EXE_INC = -I$(FOAM_SRC)/meshTools/lnInclude
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EXE_LIBS = -lmeshTools
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/*---------------------------------------------------------------------------*\
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========= |
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\\ / F ield | OpenFOAM: The Open Source CFD Toolbox
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\\ / O peration |
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\\ / A nd | Copyright (C) 2012 OpenFOAM Foundation
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\\/ M anipulation |
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-------------------------------------------------------------------------------
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License
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This file is part of OpenFOAM.
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OpenFOAM is free software: you can redistribute it and/or modify it
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under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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OpenFOAM is distributed in the hope that it will be useful, but WITHOUT
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ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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for more details.
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You should have received a copy of the GNU General Public License
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along with OpenFOAM. If not, see <http://www.gnu.org/licenses/>.
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Description
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Test the construction, insertion and removal of points from the dynamic
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indexed octree.
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\*---------------------------------------------------------------------------*/
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#include "argList.H"
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#include "cpuTime.H"
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#include "treeBoundBox.H"
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#include "dynamicIndexedOctree.H"
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#include "dynamicTreeDataPoint.H"
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#include "indexedOctree.H"
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#include "treeDataPoint.H"
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using namespace Foam;
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// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
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// Main program:
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int main(int argc, char *argv[])
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{
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cpuTime timer;
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treeBoundBox overallBb
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(
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point(0,0,0),
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point(1,1,1)
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);
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label size = 5e6;
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Info<< "Creating indexed octrees with " << size
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<< " points in bounding box: " << overallBb << endl;
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// Create the data
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DynamicList<point> pointList(size);
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pointField pointFieldList(size);
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for (label pI = size - 1; pI >= 0; --pI)
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{
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scalar factor = pI/scalar(size);
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pointList.append(0.99*point(factor, factor, factor));
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pointFieldList[pI] = 0.99*point(factor, factor, factor);
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}
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for (label i=0; i<5; ++i)
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{
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pointList.append(point(0.95, 0.95,0.95));
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pointFieldList.append(point(0.95, 0.95,0.95));
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}
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Info<< "Time to construct lists of points: "
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<< timer.cpuTimeIncrement() << endl;
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// Construct the trees
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dynamicIndexedOctree<dynamicTreeDataPoint> tree
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(
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dynamicTreeDataPoint(pointList),
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overallBb, // overall search domain
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20, // max levels; n/a
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100, // maximum ratio of cubes v.s. cells
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100.0 // max. duplicity; n/a since no bounding boxes.
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);
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Info<< "Time to construct dynamic tree: "
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<< timer.cpuTimeIncrement() << endl;
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indexedOctree<treeDataPoint> tree2
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(
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treeDataPoint(pointFieldList),
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overallBb, // overall search domain
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20, // max levels
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100, // maximum ratio of cubes v.s. cells
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100.0 // max. duplicity; n/a since no bounding boxes.
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);
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Info<< "Time to construct normal tree: "
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<< timer.cpuTimeIncrement() << endl;
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Info<< "Statistics of the dynamic tree:" << endl;
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tree.writeTreeInfo();
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// Test calls to findNearest()
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point p(0.94,0.94,0.94);
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Info<< "Nearest point to " << p << " = "
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<< tree.findNearest(p, 0.4) << endl;
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for (label i = 0; i < size; ++i)
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{
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tree.findNearest
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(
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point(scalar(i)/size, scalar(i)/size, scalar(i)/size),
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0.4
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);
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}
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Info<< "Time to perform " << size
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<< " findNearest() calls on the dynamic tree: "
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<< timer.cpuTimeIncrement() << endl;
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for (label i = 0; i < size; ++i)
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{
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tree2.findNearest
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(
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point(scalar(i)/size, scalar(i)/size, scalar(i)/size),
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0.4
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);
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}
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Info<< "Time to perform " << size
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<< " findNearest() calls on the normal tree: "
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<< timer.cpuTimeIncrement() << endl;
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// Test point insertion
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label index = pointList.size();
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pointList.append(p);
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Info<< nl << "Inserting point " << p << " with index " << index << endl;
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// Now insert a point into the tree.
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tree.insert(index, pointList.size());
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Info<< "Nearest point to " << p << " = "
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<< tree.findNearest(p, 0.4) << endl;
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index = pointList.size();
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pointList.append(p);
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Info<< "Inserting same point " << p << " with index " << index << endl;
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tree.insert(index, pointList.size());
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Info<< "Nearest point to " << p << " = "
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<< tree.findNearest(p, 0.4) << endl;
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Info<< nl << "Tree after insertion:" << endl;
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tree.writeTreeInfo();
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// Test point removal
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label nRemoved = 0;
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for (label pI = size - 5; pI >= 5; pI--)
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{
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tree.remove(pI);
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++nRemoved;
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}
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Info<< "Time to remove " << nRemoved << " points from the tree: "
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<< timer.cpuTimeIncrement() << endl;
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Info<< nl << "Tree after removal:" << endl;
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tree.writeTreeInfo();
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Info<< "Nearest point to " << p << " = "
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<< tree.findNearest(p, 0.4) << endl;
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return 0;
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}
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// ************************************************************************* //
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