vtk-m2/vtkm/worklet/testing/UnitTestVertexClustering.cxx
Robert Maynard 5dd346007b Respect VTK-m convention of parameters all or nothing on a line
clang-format BinPack settings have been disabled to make sure that the
VTK-m style guideline is obeyed.
2017-05-26 13:53:28 -04:00

101 lines
4.2 KiB
C++

//============================================================================
// Copyright (c) Kitware, Inc.
// All rights reserved.
// See LICENSE.txt for details.
// This software is distributed WITHOUT ANY WARRANTY; without even
// the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
// PURPOSE. See the above copyright notice for more information.
//
// Copyright 2014 Sandia Corporation.
// Copyright 2014 UT-Battelle, LLC.
// Copyright 2014 Los Alamos National Security.
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Under the terms of Contract DE-AC52-06NA25396 with Los Alamos National
// Laboratory (LANL), the U.S. Government retains certain rights in
// this software.
//============================================================================
#include <iostream>
#include <vtkm/cont/DataSet.h>
#include <vtkm/cont/DeviceAdapter.h>
#include <vtkm/cont/testing/MakeTestDataSet.h>
#include <vtkm/cont/testing/Testing.h>
#include <vtkm/worklet/DispatcherMapField.h>
#include <vtkm/worklet/VertexClustering.h>
void TestVertexClustering()
{
const vtkm::Id3 divisions(3, 3, 3);
vtkm::cont::testing::MakeTestDataSet maker;
vtkm::cont::DataSet dataSet = maker.Make3DExplicitDataSetCowNose();
//compute the bounds before calling the algorithm
vtkm::Bounds bounds = dataSet.GetCoordinateSystem().GetBounds();
// run
vtkm::worklet::VertexClustering clustering;
vtkm::cont::DataSet outDataSet = clustering.Run(dataSet.GetCellSet(),
dataSet.GetCoordinateSystem(),
bounds,
divisions,
VTKM_DEFAULT_DEVICE_ADAPTER_TAG());
// test
const vtkm::Id output_pointIds = 9;
vtkm::Id output_pointId[output_pointIds] = { 0, 1, 3, 1, 5, 4, 1, 2, 5 };
const vtkm::Id output_points = 6;
vtkm::Float64 output_point[output_points][3] = {
{ 0.0174716003, 0.0501927994, 0.0930275023 }, { 0.0320714004, 0.14704667, 0.0952706337 },
{ 0.0268670674, 0.246195346, 0.119720004 }, { 0.00215422804, 0.0340906903, 0.180881709 },
{ 0.0108188, 0.152774006, 0.167914003 }, { 0.0202241503, 0.225427493, 0.140208006 }
};
VTKM_TEST_ASSERT(outDataSet.GetNumberOfCoordinateSystems() == 1,
"Number of output coordinate systems mismatch");
typedef vtkm::Vec<vtkm::Float64, 3> PointType;
vtkm::cont::ArrayHandle<PointType> pointArray;
outDataSet.GetCoordinateSystem(0).GetData().CopyTo(pointArray);
VTKM_TEST_ASSERT(pointArray.GetNumberOfValues() == output_points,
"Number of output points mismatch");
for (vtkm::Id i = 0; i < pointArray.GetNumberOfValues(); ++i)
{
const PointType& p1 = pointArray.GetPortalConstControl().Get(i);
PointType p2 = vtkm::make_Vec(output_point[i][0], output_point[i][1], output_point[i][2]);
std::cout << "point: " << p1 << " " << p2 << std::endl;
VTKM_TEST_ASSERT(test_equal(p1, p2), "Point Array mismatch");
}
typedef vtkm::cont::CellSetSingleType<> CellSetType;
VTKM_TEST_ASSERT(outDataSet.GetNumberOfCellSets() == 1, "Number of output cellsets mismatch");
CellSetType cellSet;
outDataSet.GetCellSet(0).CopyTo(cellSet);
VTKM_TEST_ASSERT(
cellSet.GetConnectivityArray(vtkm::TopologyElementTagPoint(), vtkm::TopologyElementTagCell())
.GetNumberOfValues() == output_pointIds,
"Number of connectivity array elements mismatch");
for (vtkm::Id i = 0; i <
cellSet.GetConnectivityArray(vtkm::TopologyElementTagPoint(), vtkm::TopologyElementTagCell())
.GetNumberOfValues();
i++)
{
vtkm::Id id1 =
cellSet.GetConnectivityArray(vtkm::TopologyElementTagPoint(), vtkm::TopologyElementTagCell())
.GetPortalConstControl()
.Get(i);
vtkm::Id id2 = output_pointId[i];
std::cout << "pointid: " << id1 << " " << id2 << std::endl;
//VTKM_TEST_ASSERT( id1 == id2, "Connectivity Array mismatch" ) ;
}
} // TestVertexClustering
int UnitTestVertexClustering(int, char* [])
{
return vtkm::cont::testing::Testing::Run(TestVertexClustering);
}