TEST(YogaTest, all_overridden) {
const YGNodeRef root = YGNodeNew();
YGNodeStyleSetFlexDirection(root, YGFlexDirectionColumn);
YGNodeStyleSetWidth(root, 100);
YGNodeStyleSetHeight(root, 100);
const YGNodeRef root_child0 = YGNodeNew();
YGNodeStyleSetFlexGrow(root_child0, 1);
YGNodeStyleSetMargin(root_child0, YGEdgeLeft, 10);
YGNodeStyleSetMargin(root_child0, YGEdgeTop, 10);
YGNodeStyleSetMargin(root_child0, YGEdgeRight, 10);
YGNodeStyleSetMargin(root_child0, YGEdgeBottom, 10);
YGNodeStyleSetMargin(root_child0, YGEdgeAll, 20);
YGNodeInsertChild(root, root_child0, 0);
YGNodeCalculateLayout(root, YGUndefined, YGUndefined, YGDirectionLTR);
ASSERT_FLOAT_EQ(10, YGNodeLayoutGetLeft(root_child0));
ASSERT_FLOAT_EQ(10, YGNodeLayoutGetTop(root_child0));
ASSERT_FLOAT_EQ(10, YGNodeLayoutGetRight(root_child0));
ASSERT_FLOAT_EQ(10, YGNodeLayoutGetBottom(root_child0));
YGNodeFreeRecursive(root);
}
TEST(YogaTest, end_overrides) {
const YGNodeRef root = YGNodeNew();
YGNodeStyleSetFlexDirection(root, YGFlexDirectionRow);
YGNodeStyleSetWidth(root, 100);
YGNodeStyleSetHeight(root, 100);
const YGNodeRef root_child0 = YGNodeNew();
YGNodeStyleSetFlexGrow(root_child0, 1);
YGNodeStyleSetMargin(root_child0, YGEdgeEnd, 10);
YGNodeStyleSetMargin(root_child0, YGEdgeLeft, 20);
YGNodeStyleSetMargin(root_child0, YGEdgeRight, 20);
YGNodeInsertChild(root, root_child0, 0);
YGNodeCalculateLayout(root, YGUndefined, YGUndefined, YGDirectionLTR);
ASSERT_FLOAT_EQ(20, YGNodeLayoutGetLeft(root_child0));
ASSERT_FLOAT_EQ(10, YGNodeLayoutGetRight(root_child0));
YGNodeCalculateLayout(root, YGUndefined, YGUndefined, YGDirectionRTL);
ASSERT_FLOAT_EQ(10, YGNodeLayoutGetLeft(root_child0));
ASSERT_FLOAT_EQ(20, YGNodeLayoutGetRight(root_child0));
YGNodeFreeRecursive(root);
}
TEST(TestISTLMatrix, AssembleMPI)
{
InspectMatrixSIM sim(1);
sim.read("src/LinAlg/Test/refdata/petsc_test.xinp");
sim.opt.solver = SystemMatrix::ISTL;
sim.preprocess();
sim.initSystem(SystemMatrix::ISTL);
Matrix stencil(4,4);
stencil(1,1) = stencil(2,2) = stencil(3,3) = stencil(4,4) = 1.0;
for (int iel = 1; iel <= sim.getSAM()->getNoElms(); ++iel)
sim.getMatrix()->assemble(stencil, *sim.getSAM(), iel);
sim.getMatrix()->beginAssembly();
sim.getMatrix()->endAssembly();
// now inspect the matrix
const ProcessAdm& adm = sim.getProcessAdm();
ISTL::Mat& mat = static_cast<ISTLMatrix*>(sim.getMatrix())->getMatrix();
ISTL::Vec b(mat.N()), b2(mat.N());
try {
Dune::OwnerOverlapCopyCommunication<int,int> comm(*adm.getCommunicator());
comm.indexSet().beginResize();
typedef Dune::ParallelLocalIndex<Dune::OwnerOverlapCopyAttributeSet::AttributeSet> LI;
for (size_t i = 0; i < adm.dd.getMLGEQ().size(); ++i) {
int gid = adm.dd.getGlobalEq(i+1);
comm.indexSet().add(gid-1, LI(i, gid >= adm.dd.getMinEq() ?
Dune::OwnerOverlapCopyAttributeSet::owner :
Dune::OwnerOverlapCopyAttributeSet::overlap));
}
comm.indexSet().endResize();
comm.remoteIndices().setIncludeSelf(true);
comm.remoteIndices().template rebuild<false>();
ISTL::ParMatrixAdapter op(mat, comm);
b = 1.0;
op.apply(b, b2);
} catch (Dune::ISTLError& e) {
std::cerr << e << std::endl;
ASSERT_TRUE(false);
}
IntVec v = readIntVector("src/LinAlg/Test/refdata/petsc_matrix_diagonal.ref");
for (size_t i = 1; i <= adm.dd.getMLGEQ().size(); ++i)
ASSERT_FLOAT_EQ(v[adm.dd.getGlobalEq(i)-1], b2[i-1]);
}
TEST(FloatTest, SaveLoadTest)
{
INIT_DONUT;
std::string providerName;
XValue data;
{
Handler<FloatObject> obj( heap->createFloatObject(10.1) );
ASSERT_ANY_THROW(obj->toBool(heap));
ASSERT_ANY_THROW(obj->toInt(heap));
ASSERT_ANY_THROW(obj->toString(heap));
ASSERT_FLOAT_EQ(10.1, obj->toFloat(heap));
data = Handler<HeapObject>(obj)->save(heap);
providerName = obj->providerName(heap);
}
{
Handler<HeapObject> obj(new FloatObject(heap->findHeapProvider(providerName).get()));
obj->load(heap, data);
ASSERT_NO_THROW(obj.cast<FloatObject>());
ASSERT_ANY_THROW(obj->toBool(heap));
ASSERT_ANY_THROW(obj->toInt(heap));
ASSERT_ANY_THROW(obj->toString(heap));
ASSERT_FLOAT_EQ(10.1, obj->toFloat(heap));
}
}
void testit () {
d_results = Kokkos::View<Kokkos::complex<double>*,ExecSpace>("TestComplexSpecialFunctions",20);
h_results = Kokkos::create_mirror_view(d_results);
Kokkos::parallel_for(Kokkos::RangePolicy<ExecSpace>(0,1), *this);
Kokkos::fence();
Kokkos::deep_copy(h_results,d_results);
std::complex<double> a(1.5,2.5);
double c = 9.3;
std::complex<double> r;
r = a; ASSERT_FLOAT_EQ(h_results(0).real(), r.real()); ASSERT_FLOAT_EQ(h_results(0).imag(), r.imag());
r = std::sqrt(a); ASSERT_FLOAT_EQ(h_results(1).real(), r.real()); ASSERT_FLOAT_EQ(h_results(1).imag(), r.imag());
r = std::pow(a,c); ASSERT_FLOAT_EQ(h_results(2).real(), r.real()); ASSERT_FLOAT_EQ(h_results(2).imag(), r.imag());
r = std::abs(a); ASSERT_FLOAT_EQ(h_results(3).real(), r.real()); ASSERT_FLOAT_EQ(h_results(3).imag(), r.imag());
}
TEST_F(TrapezoidalTesting, DiagonalValue){
ASSERT_FLOAT_EQ(0.5, rect_left.CalculateMembership(5.5));
ASSERT_FLOAT_EQ(0.25, rect_left.CalculateMembership(5.75));
ASSERT_FLOAT_EQ(0.75, rect_left.CalculateMembership(5.25));
ASSERT_FLOAT_EQ(0.75, rect_right.CalculateMembership(2.75));
ASSERT_FLOAT_EQ(0.25, rect_right.CalculateMembership(2.25));
ASSERT_FLOAT_EQ(0.5, rect_right.CalculateMembership(2.5));
float m1 = 1.0 - 1.0 / 3.0;
float m2 = 1.0 - 2.0/ 3.0;
ASSERT_FLOAT_EQ(m1, normal.CalculateMembership(3));
ASSERT_FLOAT_EQ(m2, normal.CalculateMembership(4));
}
TEST (AudioDataTest, DiscardFromFront) {
KeyFinder::AudioData a;
a.setChannels(1);
a.setFrameRate(1);
ASSERT_THROW(a.discardFramesFromFront(1), KeyFinder::Exception);
a.addToFrameCount(10);
ASSERT_THROW(a.discardFramesFromFront(11), KeyFinder::Exception);
ASSERT_NO_THROW(a.discardFramesFromFront(0));
a.setSampleByFrame(5, 0, 10.0);
ASSERT_NO_THROW(a.discardFramesFromFront(5));
ASSERT_EQ(5, a.getFrameCount());
ASSERT_FLOAT_EQ(10.0, a.getSampleByFrame(0, 0));
}
TEST(CircularBufferSingle, TestMultiWriteRead)
{
const float data[4] = {1,2,3,4};
float out[4] = {0,0,0,0};
CircularBuffer *buffer = CircularBufferInit(7);
CircularBufferWrite(buffer, data, 2);
CircularBufferWrite(buffer, data + 2, 2);
CircularBufferRead(buffer, out, 4);
CircularBufferFree(buffer);
for (unsigned i = 0; i < 4; ++i)
{
ASSERT_FLOAT_EQ(out[i], data[i]);
}
}
TEST_F(TrapezoidalTesting , BoundariesOut){
ASSERT_FLOAT_EQ(1, rect_left.CalculateMembership(2));
ASSERT_FLOAT_EQ(0, rect_left.CalculateMembership(6));
ASSERT_FLOAT_EQ(0, rect_right.CalculateMembership(2));
ASSERT_FLOAT_EQ(1, rect_right.CalculateMembership(5));
ASSERT_FLOAT_EQ(0, normal.CalculateMembership(-2));
ASSERT_FLOAT_EQ(0, normal.CalculateMembership(5));
}
TEST_F(TrapezoidalTesting, OutOfBoundaries){
ASSERT_FLOAT_EQ(0,rect_left.CalculateMembership(0));
ASSERT_FLOAT_EQ(0,rect_left.CalculateMembership(10));
ASSERT_FLOAT_EQ(0,rect_left.CalculateMembership(-10));
ASSERT_FLOAT_EQ(0,normal.CalculateMembership(25));
ASSERT_FLOAT_EQ(0,rect_left.CalculateMembership(-11));
ASSERT_FLOAT_EQ(0,rect_left.CalculateMembership(6));
}
TEST(Quaternion, Normalize) {
narf::Quaternion<float> q1(3, -1, 4, 3);
ASSERT_FLOAT_EQ(q1.norm(), 5.91608f);
auto q2 = q1.normalize();
ASSERT_FLOAT_EQ(q2.norm(), 1.0f);
ASSERT_FLOAT_EQ(q2.w, 0.50709254f);
ASSERT_FLOAT_EQ(q2.v.x, -0.16903085f);
ASSERT_FLOAT_EQ(q2.v.y, 0.67612338f);
ASSERT_FLOAT_EQ(q2.v.z, 0.50709254f);
}
TEST_F(VCFReaderTest, QualField) {
const char* value = nullptr;
sph_umich_edu::QualField field;
value = "";
ASSERT_THROW(field.parse(value, value + strlen(value)), sph_umich_edu::VCFException);
ASSERT_TRUE(field.is_empty());
value = ".";
ASSERT_NO_THROW(field.parse(value, value + strlen(value)));
ASSERT_TRUE(field.is_empty());
ASSERT_TRUE(std::isnan(field.get_value()));
value = "0";
ASSERT_NO_THROW(field.parse(value, value + strlen(value)));
ASSERT_FALSE(field.is_empty());
ASSERT_FLOAT_EQ(0.0, field.get_value());
value = "30";
ASSERT_NO_THROW(field.parse(value, value + strlen(value)));
ASSERT_FALSE(field.is_empty());
ASSERT_FLOAT_EQ(30.0, field.get_value());
value = "-30";
ASSERT_THROW(field.parse(value, value + strlen(value)), sph_umich_edu::VCFException);
ASSERT_TRUE(field.is_empty());
value = "12.2";
ASSERT_NO_THROW(field.parse(value, value + strlen(value)));
ASSERT_FALSE(field.is_empty());
ASSERT_FLOAT_EQ(12.2, field.get_value());
value = "12.0";
ASSERT_NO_THROW(field.parse(value, value + strlen(value)));
ASSERT_FALSE(field.is_empty());
ASSERT_FLOAT_EQ(12.0, field.get_value());
value = "0.0";
ASSERT_NO_THROW(field.parse(value, value + strlen(value)));
ASSERT_FALSE(field.is_empty());
ASSERT_FLOAT_EQ(0.0, field.get_value());
value = "0.12";
ASSERT_NO_THROW(field.parse(value, value + strlen(value)));
ASSERT_FALSE(field.is_empty());
ASSERT_FLOAT_EQ(0.12, field.get_value());
value = ".12";
ASSERT_THROW(field.parse(value, value + strlen(value)), sph_umich_edu::VCFException);
ASSERT_TRUE(field.is_empty());
value = "aBc";
ASSERT_THROW(field.parse(value, value + strlen(value)), sph_umich_edu::VCFException);
ASSERT_TRUE(field.is_empty());
}
/// tests Matrix4 array getter
TEST_F(Math_Matrix4Tests, ArrayGetter)
{
float in_array[] = {5,-71,-13,86,-86,-8,-62,8,-69,-106,81,125,-1,-52,84,47};
const float* out_array;
for(int i=0; i < 4; i++)
{
for (int j=0; j < 4; j++)
m1.set(i, j, in_array[i*4 + j]);
}
out_array = m1.getArray();
for(int i=0; i < 16; i++)
ASSERT_FLOAT_EQ(in_array[i], out_array[i]);
}
TEST_F(TabuAlgorithmTest, BigTestOnRealData)
{
std::shared_ptr<Vrp::CvrpFile> l_file = std::make_shared<Vrp::CvrpFile>("../../dairyProblem/data/A-n69-k9.vrp");
Vrp::PolarCoordinatesMatrixConverter l_polarConv(Vrp::CvrpFileReader(l_file).getData());
TabuAlgorithm l_algorithm(l_polarConv.convertAndSortByAngle());
DairyPath l_result;
l_result.distance = 1281.9614;
l_result.path = {1, 30, 16, 28, 23, 10, 25, 19, 9, 15, 1,
12, 5, 29, 24, 7, 4, 3, 27, 1, 14, 8, 18,
20, 31, 32, 1, 17, 22, 2, 13, 21, 1, 26, 6, 11, 1};
//ASSERT_EQ(l_algorithm.compute().path, l_result.path);
ASSERT_FLOAT_EQ(l_algorithm.compute().distance, l_result.distance);
//ASSERT_FLOAT_EQ(l_algorithm.getDistance(), l_result.distance);
}
TEST_P(MatricesToVtk_Grid3D_ptest, loadGrid3D_vector3)
{
const auto & param = GetParam();
io::ReadDataSet readDataSet;
readDataSet.type = io::DataSetType::vectorGrid3D;
auto & data = readDataSet.data;
data = generateGrid(param, 3u);
auto dataObject = MatricesToVtk::loadGrid3D("AGrid", { readDataSet });
ASSERT_TRUE(dataObject);
auto image = vtkImageData::SafeDownCast(dataObject->dataSet());
ASSERT_TRUE(image);
std::array<int, 3> dimensions;
image->GetDimensions(dimensions.data());
ASSERT_EQ(2, dimensions[0]);
ASSERT_EQ(2, dimensions[1]);
ASSERT_EQ(2, dimensions[2]);
auto vectors = image->GetPointData()->GetVectors();
ASSERT_TRUE(vectors);
std::array<int, 3> refIncrements;
refIncrements[static_cast<size_t>(param._0)] = 1;
refIncrements[static_cast<size_t>(param._1)] = dimensions[0];
refIncrements[static_cast<size_t>(param._2)] = dimensions[0] * dimensions[1];
for (int z = 0; z < dimensions[2]; ++z)
{
for (int y = 0; y < dimensions[1]; ++y)
{
for (int x = 0; x < dimensions[0]; ++x)
{
const size_t refIndex = static_cast<size_t>(
refIncrements[0] * x + refIncrements[1] * y + refIncrements[2] * z);
for (int c = 0; c < 3; ++c)
{
const auto expected = static_cast<float>(
data[3u + static_cast<size_t>(c)][refIndex]);
const auto parsedComponent = image->GetScalarComponentAsFloat(x, y, z, c);
ASSERT_FLOAT_EQ(expected, parsedComponent);
}
}
}
}
}
TEST(CircularBufferSingle, TestRewind)
{
const float data[4] = {1,2,3,4};
float out[4] = {0, 0, 0, 0};
float expected[4] = {3, 4, 3, 4};
CircularBuffer *buffer = CircularBufferInit(7);
CircularBufferWrite(buffer, data, 4);
CircularBufferRead(buffer, out, 4);
CircularBufferRewind(buffer, 2);
CircularBufferRead(buffer, out, 2);
CircularBufferFlush(buffer);
CircularBufferFree(buffer);
for (unsigned i = 0; i < 4; ++i)
{
ASSERT_FLOAT_EQ(out[i], expected[i]);
}
}
TEST(DSP, FloatDoubleConversion)
{
float in[10] = {1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0};
double out[10];
float fout[10];
FloatToDouble(out, in, 10);
for (unsigned i = 0; i < 10; ++i)
{
ASSERT_DOUBLE_EQ((double)in[i], out[i]);
}
DoubleToFloat(fout, out, 10);
for (unsigned i = 0; i < 10; ++i)
{
ASSERT_FLOAT_EQ(in[i], fout[i]);
}
}
TEST_F(CConfigFileTest, ReadTest)
{
m_configFile.SetUseCurrentDirectory(true);
ASSERT_TRUE(m_configFile.Init()); // load colobot.ini file
std::string result;
ASSERT_TRUE(m_configFile.GetStringProperty("test_string", "string_value", result));
ASSERT_STREQ("Hello world", result.c_str());
int int_value;
ASSERT_TRUE(m_configFile.GetIntProperty("test_int", "int_value", int_value));
ASSERT_EQ(42, int_value);
float float_value;
ASSERT_TRUE(m_configFile.GetFloatProperty("test_float", "float_value", float_value));
ASSERT_FLOAT_EQ(1.5, float_value);
}
TEST_F(DEMImageNormals_test, NormalsAreNormalized)
{
auto demNormalFilter = vtkSmartPointer<DEMImageNormals>::New();
demNormalFilter->SetCoordinatesUnitScale(1.0);
demNormalFilter->SetElevationUnitScale(1.0);
demNormalFilter->SetInputData(dem);
ASSERT_TRUE(demNormalFilter->GetExecutive()->Update());
auto normals = demNormalFilter->GetOutput()->GetPointData()->GetNormals();
ASSERT_TRUE(normals);
ASSERT_EQ(dem->GetNumberOfPoints(), normals->GetNumberOfTuples());
for (vtkIdType i = 0; i < normals->GetNumberOfTuples(); ++i)
{
vtkVector3d normal;
normals->GetTuple(i, normal.GetData());
ASSERT_FLOAT_EQ(1.f, static_cast<float>(normal.Norm()));
}
}
TEST(xphoto_DenoisingBm3dKaiserWindow, regression_4)
{
float beta = 2.0f;
int N = 4;
cv::Mat kaiserWindow;
calcKaiserWindow1D(kaiserWindow, N, beta);
float kaiser4[] = {
0.43869004f,
0.92432547f,
0.92432547f,
0.43869004f
};
for (int i = 0; i < N; ++i)
ASSERT_FLOAT_EQ(kaiser4[i], kaiserWindow.at<float>(i));
}
TEST(TestISTLPETScMatrix, SchurComplement)
{
ASMmxBase::Type = ASMmxBase::FULL_CONT_RAISE_BASIS1;
ASMmxBase::geoBasis = 2;
Matrix stencil(13,13);
for (size_t i = 1; i<= 13; ++i)
for (size_t j = 1; j <= 13; ++j)
stencil(i,j) = 1.0;
std::array<InspectMatrixSIM,2> sim;
for (size_t i = 0; i < 2; ++i) {
sim[i].read("src/LinAlg/Test/refdata/petsc_test_blocks_basis.xinp");
sim[i].opt.solver = i == 0 ? SystemMatrix::PETSC : SystemMatrix::ISTL;
sim[i].preprocess();
sim[i].initSystem(i == 0 ? SystemMatrix::PETSC : SystemMatrix::ISTL);
for (int iel = 1; iel <= sim[i].getSAM()->getNoElms(); ++iel)
sim[i].getMatrix()->assemble(stencil, *sim[i].getSAM(), iel);
sim[i].getMatrix()->beginAssembly();
sim[i].getMatrix()->endAssembly();
}
const ProcessAdm& adm = sim[1].getProcessAdm();
ISTL::Mat& A = static_cast<ISTLMatrix*>(sim[1].getMatrix())->getMatrix();
ISTL::BlockPreconditioner block(A, adm.dd, "upper");
ISTL::Mat& S = block.getBlock(1);
PETScSolParams params(LinSolParams(), adm);
params.setupSchurComplement(static_cast<PETScMatrix*>(sim[0].getMatrix())->getBlockMatrices());
// check that matrices are the same
for (size_t r = 0; r < S.N(); ++r) {
const PetscInt* cols;
PetscInt ncols;
const PetscScalar* vals;
MatGetRow(params.getSchurComplement(), r, &ncols, &cols, &vals);
for (PetscInt i = 0; i < ncols; ++i)
ASSERT_FLOAT_EQ(vals[i], S[r][cols[i]]);
MatRestoreRow(params.getSchurComplement(), r, &ncols, &cols, &vals);
}
}
TEST (AudioDataTest, Iterators) {
KeyFinder::AudioData a;
a.setChannels(1);
a.setFrameRate(1);
a.addToSampleCount(10);
a.setSample(0, 10.0);
a.setSample(1, 20.0);
a.setSample(3, 50.0);
a.resetIterators(); // this is required before each use
ASSERT_FLOAT_EQ(10.0, a.getSampleAtReadIterator());
a.setSampleAtWriteIterator(15.0);
ASSERT_FLOAT_EQ(15.0, a.getSampleAtReadIterator());
a.advanceReadIterator();
a.advanceWriteIterator();
ASSERT_FLOAT_EQ(20.0, a.getSampleAtReadIterator());
a.setSampleAtWriteIterator(25.0);
ASSERT_FLOAT_EQ(25.0, a.getSampleAtReadIterator());
a.advanceReadIterator(2);
a.advanceWriteIterator(2);
ASSERT_FLOAT_EQ(50.0, a.getSampleAtReadIterator());
a.setSampleAtWriteIterator(55.0);
ASSERT_FLOAT_EQ(55.0, a.getSampleAtReadIterator());
a.resetIterators();
ASSERT_FLOAT_EQ(15.0, a.getSampleAtReadIterator());
a.setSampleAtWriteIterator(150.0);
ASSERT_FLOAT_EQ(150.0, a.getSampleAtReadIterator());
ASSERT_TRUE(a.readIteratorWithinUpperBound());
ASSERT_TRUE(a.writeIteratorWithinUpperBound());
a.advanceReadIterator(10);
a.advanceWriteIterator(10);
ASSERT_FALSE(a.readIteratorWithinUpperBound());
ASSERT_FALSE(a.writeIteratorWithinUpperBound());
}
TEST(RMSEstimatorSingle, TestRMSEstimatorSetTime)
{
float sinewave[10000];
float out[10000];
float out2[10000];
for (unsigned i = 0; i < 10000; ++i)
{
sinewave[i] = sinf((6000 * M_PI * i)/10000); // 3000Hz sinewave at 44100
}
RMSEstimator * rms = RMSEstimatorInit(0.01, 10000);
RMSEstimator * rms2 = RMSEstimatorInit(0.05, 10000);
RMSEstimatorSetAvgTime(rms2, 0.01);
RMSEstimatorProcess(rms, out, sinewave, 10000);
RMSEstimatorProcess(rms2, out2, sinewave, 10000);
RMSEstimatorFree(rms);
RMSEstimatorFree(rms2);
for (unsigned i = 250; i < 10000; ++i)
{
ASSERT_FLOAT_EQ(out[i], out2[i]);
}
}
TEST (WindowFunctionTest, AllTemporalWindowsAreSymmetricalAndRangeFrom0To1) {
KeyFinder::WindowFunction win;
unsigned int evenWidth = 24;
unsigned int oddWidth = 25;
for (unsigned int w = 0; w < 6; w++) {
KeyFinder::temporal_window_t type;
if (w % 3 == 0) type = KeyFinder::WINDOW_HANN;
else if (w % 3 == 1) type = KeyFinder::WINDOW_HAMMING;
else type = KeyFinder::WINDOW_BLACKMAN;
unsigned int width;
if (w % 2 == 0) width = evenWidth;
else width = oddWidth;
ASSERT_NEAR(0.0, win.window(type, 0, width), 0.1);
ASSERT_NEAR(1.0, win.window(type, width / 2, width), 0.1);
ASSERT_NEAR(0.0, win.window(type, width - 1, width), 0.1);
for (unsigned int n = 0; n < width / 2; n++) {
ASSERT_FLOAT_EQ(win.window(type, n, width), win.window(type, width - 1 - n, width));
}
}
}
TEST(PanLawSingle, TestLinearPan)
{
float left = 0.0;
float right = 0.0;
linear_pan(0, &left, &right);
ASSERT_FLOAT_EQ(1.0, left);
ASSERT_FLOAT_EQ(0.0, right);
linear_pan(0.5, &left, &right);
ASSERT_FLOAT_EQ(0.5, left);
ASSERT_FLOAT_EQ(0.5, right);
linear_pan(1.0, &left, &right);
ASSERT_FLOAT_EQ(0.0, left);
ASSERT_FLOAT_EQ(1.0, right);
}
TEST(RMDCuTests, deviceImageCopyFloat)
{
rmd::test::Dataset dataset;
if(!dataset.loadPathFromEnv())
{
FAIL() << "could not retrieve dataset path from the environment variable '"
<< rmd::test::Dataset::getDataPathEnvVar();
}
cv::Mat img;
if(!dataset.readImage(img, "scene_000.png"))
{
FAIL() << "could not could not load test image from dataset";
}
cv::Mat img_flt;
img.convertTo(img_flt, CV_32F, 1./255.);
const size_t w = img_flt.cols;
const size_t h = img_flt.rows;
// upload data to gpu memory
rmd::DeviceImage<float> in_img(w, h);
in_img.setDevData(reinterpret_cast<float*>(img_flt.data));
// create copy on device
rmd::DeviceImage<float> out_img(w, h);
rmd::copy(in_img, out_img);
float * cu_img = new float[w*h];
out_img.getDevData(cu_img);
for(size_t y=0; y<h; ++y)
{
for(size_t x=0; x<w; ++x)
{
ASSERT_FLOAT_EQ(img_flt.at<float>(y, x), cu_img[y*w+x]);
}
}
delete cu_img;
}
TEST_F(CProfileTest, ReadTest)
{
m_profile.SetUseCurrentDirectory(true);
ASSERT_TRUE(m_profile.Init()); // load colobot.ini file
std::string result;
ASSERT_TRUE(m_profile.GetStringProperty("test_string", "string_value", result));
ASSERT_STREQ("Hello world", result.c_str());
int int_value;
ASSERT_TRUE(m_profile.GetIntProperty("test_int", "int_value", int_value));
ASSERT_EQ(42, int_value);
float float_value;
ASSERT_TRUE(m_profile.GetFloatProperty("test_float", "float_value", float_value));
ASSERT_FLOAT_EQ(1.5, float_value);
std::vector<std::string> list;
list = m_profile.GetSection("test_multi", "entry");
ASSERT_EQ(5u, list.size());
}
TEST(RMSEstimatorDouble, TestRMSEstimatorSetAvgTime)
{
double sinewave[10000];
double out[10000];
double out2[10000];
for (unsigned i = 0; i < 10000; ++i)
{
sinewave[i] = sin((6000 * M_PI * i)/10000); // 3000Hz sinewave at 44100
}
RMSEstimatorD * rms = RMSEstimatorInitD(0.01, 10000);
RMSEstimatorD * rms2 = RMSEstimatorInitD(0.05, 10000);
RMSEstimatorSetAvgTimeD(rms2, 0.01);
RMSEstimatorProcessD(rms, out, sinewave, 10000);
RMSEstimatorProcessD(rms2, out2, sinewave, 10000);
RMSEstimatorFreeD(rms);
RMSEstimatorFreeD(rms2);
for (unsigned i = 250; i < 10000; ++i)
{
ASSERT_FLOAT_EQ(out[i], out2[i]);
}
}
TEST(xphoto_DenoisingBm3dKaiserWindow, regression_8)
{
float beta = 2.0f;
int N = 8;
cv::Mat kaiserWindow;
calcKaiserWindow1D(kaiserWindow, N, beta);
float kaiser8[] = {
0.43869004f,
0.68134475f,
0.87685609f,
0.98582518f,
0.98582518f,
0.87685609f,
0.68134463f,
0.43869004f
};
for (int i = 0; i < N; ++i)
ASSERT_FLOAT_EQ(kaiser8[i], kaiserWindow.at<float>(i));
}
TEST(util, crc) {
ASSERT_EQ(4, efiRound(4.4, 1));
ASSERT_FLOAT_EQ(1.2, efiRound(1.2345, 0.1));
print("*************************************** testCrc\r\n");
const char * A = "A";
ASSERT_EQ( 168, calc_crc((const crc_t *) A, 1)) << "crc8";
uint32_t c = crc32(A, 1);
printf("crc32(A)=%x\r\n", c);
assertEqualsM("crc32 1", 0xd3d99e8b, c);
const char * line = "AbcDEFGF";
c = crc32(line, 8);
printf("crc32(line)=%x\r\n", c);
assertEqualsM("crc32 line", 0x4775a7b1, c);
c = crc32(line, 1);
c = crc32inc(line + 1, c, 8 - 1);
assertEqualsM("crc32 line inc", 0x4775a7b1, c);
}