TEST(ComplexMatrixIOTest,OneByOneMatirx) {
ComplexMatrix cm(1,1);
cm(0,0).real = 1.0;
cm(0,0).imag = 0.5;
complexMatrixToBytes(cm,"cm.bin");
ComplexMatrix cm2;
bytesToComplexMatrix(cm2, "cm.bin");
EXPECT_EQ(cm.GetRows(), cm2.GetRows());
EXPECT_EQ(cm.GetCols(), cm2.GetCols());
for (int i=0; i<cm.GetRows(); ++i) {
for (int j=0; j<cm.GetCols(); ++j) {
EXPECT_DOUBLE_EQ(cm(i,j).real, cm2(i,j).real);
EXPECT_DOUBLE_EQ(cm(i,j).imag, cm2(i,j).imag);
}
}
}
ChanMappingController::ChanMappingController(QObject *parent)
: QObject(parent), currentMode(DAQ::AI60Demux), is_dual(false)
{
if (!setupDefaults) {
setupDefaults = true;
// run once -- setup defaults array
for (int i = 0; i < (int)DAQ::N_Modes; ++i) {
ChanMap & cm (defaultMapping[i]);
const unsigned numIntans = DAQ::ModeNumIntans[i], numChansPerIntan = DAQ::ModeNumChansPerIntan[i];
cm.reserve(numIntans*numChansPerIntan);
for (int j = 0; j < (int)numIntans; ++j)
for (int k = 0; k < (int)numChansPerIntan; ++k)
cm.push_back(defaultMappingForIntan(j, k, numChansPerIntan));
ChanMap & cm2 (defaultMapping2[i]);
const unsigned numIntans2 = DAQ::ModeNumIntans[i]*2;
cm2.reserve(numIntans2*numChansPerIntan);
for (int j = 0; j < (int)numIntans2; ++j)
for (int k = 0; k < (int)numChansPerIntan; ++k)
cm2.push_back(defaultMappingForIntan(j, k, numChansPerIntan));
}
}
dialogParent = new QDialog(0);
dialog = new Ui::ChanMapping;
dialog->setupUi(dialogParent);
Connect(dialog->loadBut, SIGNAL(clicked()), this, SLOT(loadButPushed()));
Connect(dialog->saveBut, SIGNAL(clicked()), this, SLOT(saveButPushed()));
resetFromSettings();
}
TEST(ComplexMatrixIOTest,ThousandByThousandMatirx) {
ComplexMatrix cm(1000,1000);
RandomNumberGenerator random;
for (int i=0; i<cm.GetRows(); ++i) {
for (int j=0; j<cm.GetCols(); ++j) {
cm(i,j) = random.randomComplex();
}
}
complexMatrixToBytes(cm,"cm.bin");
ComplexMatrix cm2;
bytesToComplexMatrix(cm2, "cm.bin");
EXPECT_EQ(cm.GetRows(), cm2.GetRows());
EXPECT_EQ(cm.GetCols(), cm2.GetCols());
for (int i=0; i<cm.GetRows(); ++i) {
for (int j=0; j<cm.GetCols(); ++j) {
EXPECT_DOUBLE_EQ(cm(i,j).real, cm2(i,j).real);
EXPECT_DOUBLE_EQ(cm(i,j).imag, cm2(i,j).imag);
}
}
}
int main(void)
{
cout << "main by kk. Last updated 20.09.2011\n";
///////////////////////////////////////////////////////
int it1[] = {84, 23, 84, 21, 120, 93, -131, 238};
int it2[] = {249, 24, 82, 3};
int it3[] = {439, 828, 39, 230, 95, 1, -242, 34};
aghMatrix<int>* imptr1 = new aghMatrix<int>(2, 4);
aghMatrix<int>* imptr2 = new aghMatrix<int>(4, 1);
aghMatrix<int>* imptr3 = new aghMatrix<int>(4, 1);
aghMatrix<int>* imptr4 = new aghMatrix<int>(2, 4);
aghMatrix<int> imtest1, imtest2, imtest3;
imtest1.setItems(4, 1, 249, 24, 82, 3);
imtest2.setItems(2, 4, 500+23, 851, 123, 251, 215, 94, -373, 272);
imtest3.setItems(2, 1, 28419, 22084);
aghMatrix<int>& imref1 = *imptr1;
aghMatrix<int>& imref2 = *imptr2;
aghMatrix<int>& imref3 = *imptr3;
aghMatrix<int>& imref4 = *imptr4;
imptr1->setItems(it1);
imptr2->setItems(it2);
imref3 = imref2;
imptr4->setItems(it3);
// 1st test - operator przypisania
showTestResult(1, imref3 == imtest1);
// 2nd test - operator przypisania
try
{
imref3 = imref3;
showTestResult(2, imref3 == imref2);
}
catch(...)
{
showTestResult(2, false);
}
// 3rd test - jawne wywolanie destruktora
imref2.~aghMatrix();
try
{
showTestResult(3, imref3 != imref2);
}
catch(...)
{
showTestResult(3, false);
}
// 4th test - destruktor
try
{
delete imptr2;
showTestResult(4, true);
}
catch(...)
{
showTestResult(4, false);
}
// 5th test - kopiowanie wartosci
showTestResult(5, imref3 == imtest1);
// 6th test - operator dodawania
try
{
showTestResult(6, (imref1+imref4) == imtest2);
}
catch(...)
{
showTestResult(6, false);
}
// 7th test - operator mnożenia
aghMatrix<int> immulres;
try
{
aghMatrix<int> immultmp = imref1*imref3;
immulres = immultmp;
}
catch(...)
{
showTestResult(7, false);
}
showTestResult(7, immulres == imtest3);
// 8th test - range test
try
{
immulres(10, 11);
immulres(10, -11);
}
catch(aghException& e)
{
showTestResult(8, true);
}
catch(...)
{
showTestResult(8, false);
}
// 9th test - dimesion test
try
{
imref1+imref3;
}
catch(aghException& e)
{
showTestResult(9, true);
}
catch(...)
{
showTestResult(9, false);
}
// 10th test - dimesion test
try
{
imref1*imref4;
}
catch(aghException& e)
{
showTestResult(10, true);
}
catch(...)
{
showTestResult(10, false);
}
/////////////////////////////////////////////////////
char ct[] = {'b', 'k', 'l', 'd', 'h', 'z', 'd', 'j', 'z', 'x', 'c', 'n', 'b', 'k', 'z', 'd', 'w'};
aghMatrix<char> cm1(3, 2);
aghMatrix<char> cm2(3, 2);
aghMatrix<char> cm3(2, 4);
cm1.setItems(ct);
cm2.setItems(ct+5);
cm3.setItems(ct+8);
aghMatrix<char> cmtest1, cmtest2;
cmtest1.setItems(3, 2, 'a', 'n', 'u', 'c', 'e', 'b');
cmtest2.setItems(3, 4, 'j', 't', 's', 'r', 's', 'x', 't', 'w', 's', 'v', 'p', 'k');
// 11th test - operator dodawania
try
{
showTestResult(11, (cm1+cm2) == cmtest1);
}
catch(...)
{
showTestResult(11, false);
}
// 12th test - operator mnożenia
try
{
showTestResult(12, (cm1*cm3) == cmtest2);
}
catch(...)
{
showTestResult(12, false);
}
/////////////////////////////////////////////////////
char* cpt[] = {"to", "jest", "tablica", "wyrazow", "o", "rozmiarze", "jedenascie", "ktore", "beda", "elementami", "macierzy"};
aghMatrix<char*> cpm1(2, 3);
aghMatrix<char*> cpm2(2, 3);
aghMatrix<char*> cpm3(3, 1);
aghMatrix<char*> cpm4;
aghMatrix<char*> cpm5;
aghMatrix<char*>* cpmptr1 = new aghMatrix<char*>(1, 1);
aghMatrix<char*> cpmtest1, cpmtest2;
cpm1.setItems(cpt);
cpm2.setItems(cpt+5);
cpm3.setItems(cpt+3);
cpmptr1->setItem(0, 0, cpt[5]);
cpmtest1.setItems(2, 3, "torzmiae", "jestdnaci", "tablickore", "wyrazobed", "oelmntai", "rozmiaecy");
cpmtest2.setItems(2, 1, "oai", "wyrazomie");
// 13th test - destruktor
char* itemptr = cpmptr1->operator()(0,0);
itemptr[0] = 'a';
delete cpmptr1;
showTestResult(13, strcmp(itemptr, cpt[5]) != 0);
// 14th test - operator przypisania p1
cpm5 = cpm4 = cpm3;
showTestResult(14, (cpm3 == cpm4) && (cpm3 == cpm5));
// 15th test - operator przypisania p2
cpm5.setItem(0, 0, "nothing");
showTestResult(15, (cpm3 == cpm4) && (cpm3 != cpm5) && (strcmp(cpm3(0,0), "wyrazow") == 0));
// 16th test - operator przypisania
cpm5 = cpm3;
try
{
cpm5 = cpm5;
showTestResult(16, cpm3 == cpm5);
}
catch(...)
{
showTestResult(16, false);
}
// 17th test - jawne wywolanie destruktora
cpm5 = cpm3;
cpm5.~aghMatrix();
try
{
showTestResult(17, (cpm3 != cpm5));
}
catch(...)
{
showTestResult(17, false);
}
// 18th test - operator dodawania
try
{
showTestResult(18, (cpm1+cpm2) == cpmtest1);
}
catch(...)
{
showTestResult(18, false);
}
// 19th test - operator mnożenia
try
{
showTestResult(19, (cpm1*cpm3) == cpmtest2);
}
catch(...)
{
showTestResult(19, false);
}
/////////////////////////////////////////////////////
aghComplex cmplxt1[] = {aghComplex(1,1), aghComplex(1,2), aghComplex(2,1), aghComplex(2,2), aghComplex(3,3), aghComplex(3,1), aghComplex(1,0), aghComplex(0,1)};
aghComplex cmplxt2[] = {aghComplex(-1,2), aghComplex(0,3), aghComplex(2,6), aghComplex(3,2), aghComplex(3,4)};
aghMatrix<aghComplex> cmplxm1(3, 2);
aghMatrix<aghComplex> cmplxm2(2, 1);
aghMatrix<aghComplex> cmplxm3(2, 1);
aghMatrix<aghComplex> cmplxm4(2, 1);
aghMatrix<aghComplex> cmplxmtest1(3, 1);
aghMatrix<aghComplex> cmplxmtest2(2, 1);
cmplxm1.setItems(cmplxt1);
cmplxm2.setItems(cmplxt1+6);
cmplxm3.setItems(cmplxt1+3);
cmplxmtest1.setItems(cmplxt2);
cmplxmtest2.setItems(cmplxt2+3);
cmplxm4 = cmplxm2 + cmplxm3;
// 20th test - operator dodawania
try
{
showTestResult(20, cmplxm4 == cmplxmtest2);
}
catch(...)
{
showTestResult(20, false);
}
// 21th test - operator mnozenia
try
{
showTestResult(21, (cmplxm1*cmplxm2) == cmplxmtest1);
}
catch(...)
{
showTestResult(21, false);
}
/////////////////////////////////////////////////////
cout << "Finally, this is the end...\n";
return 0;
}
template<typename Scalar> void sparse_solvers(int rows, int cols)
{
double density = (std::max)(8./(rows*cols), 0.01);
typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
typedef Matrix<Scalar,Dynamic,1> DenseVector;
// Scalar eps = 1e-6;
DenseVector vec1 = DenseVector::Random(rows);
std::vector<Vector2i> zeroCoords;
std::vector<Vector2i> nonzeroCoords;
// test triangular solver
{
DenseVector vec2 = vec1, vec3 = vec1;
SparseMatrix<Scalar> m2(rows, cols);
DenseMatrix refMat2 = DenseMatrix::Zero(rows, cols);
// lower - dense
initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, &zeroCoords, &nonzeroCoords);
VERIFY_IS_APPROX(refMat2.template triangularView<Lower>().solve(vec2),
m2.template triangularView<Lower>().solve(vec3));
// upper - dense
initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeUpperTriangular, &zeroCoords, &nonzeroCoords);
VERIFY_IS_APPROX(refMat2.template triangularView<Upper>().solve(vec2),
m2.template triangularView<Upper>().solve(vec3));
VERIFY_IS_APPROX(refMat2.conjugate().template triangularView<Upper>().solve(vec2),
m2.conjugate().template triangularView<Upper>().solve(vec3));
{
SparseMatrix<Scalar> cm2(m2);
//Index rows, Index cols, Index nnz, Index* outerIndexPtr, Index* innerIndexPtr, Scalar* valuePtr
MappedSparseMatrix<Scalar> mm2(rows, cols, cm2.nonZeros(), cm2.outerIndexPtr(), cm2.innerIndexPtr(), cm2.valuePtr());
VERIFY_IS_APPROX(refMat2.conjugate().template triangularView<Upper>().solve(vec2),
mm2.conjugate().template triangularView<Upper>().solve(vec3));
}
// lower - transpose
initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, &zeroCoords, &nonzeroCoords);
VERIFY_IS_APPROX(refMat2.transpose().template triangularView<Upper>().solve(vec2),
m2.transpose().template triangularView<Upper>().solve(vec3));
// upper - transpose
initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeUpperTriangular, &zeroCoords, &nonzeroCoords);
VERIFY_IS_APPROX(refMat2.transpose().template triangularView<Lower>().solve(vec2),
m2.transpose().template triangularView<Lower>().solve(vec3));
SparseMatrix<Scalar> matB(rows, rows);
DenseMatrix refMatB = DenseMatrix::Zero(rows, rows);
// lower - sparse
initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular);
initSparse<Scalar>(density, refMatB, matB);
refMat2.template triangularView<Lower>().solveInPlace(refMatB);
m2.template triangularView<Lower>().solveInPlace(matB);
VERIFY_IS_APPROX(matB.toDense(), refMatB);
// upper - sparse
initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeUpperTriangular);
initSparse<Scalar>(density, refMatB, matB);
refMat2.template triangularView<Upper>().solveInPlace(refMatB);
m2.template triangularView<Upper>().solveInPlace(matB);
VERIFY_IS_APPROX(matB, refMatB);
// test deprecated API
initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, &zeroCoords, &nonzeroCoords);
VERIFY_IS_APPROX(refMat2.template triangularView<Lower>().solve(vec2),
m2.template triangularView<Lower>().solve(vec3));
}
}
void resultCombiner(const char * name_dv1, const char * name_cm1, const int length1, const char * name_dv2, const char * name_cm2, const int length2, int ftr = 1, const char * outputNameStub = "output")
{
TVectorD dv1(length1), dv2(length2);
TMatrixT<double> cm1(length1, length1), cm2(length2, length2);
double binLimits1[length1][2], binLimits2[length2][2], ccCov1[length1], ccCov2[length1];
readDataVector(name_dv1, dv1, binLimits1, ftr, ccCov1);
printf("Read data vector 1 (%d)\n",length1);
readDataVector(name_dv2, dv2, binLimits2, ftr, ccCov2);
printf("Read data vector 2 (%d)\n",length2);
readCovMatrix(name_cm1, cm1);
printf("Read covariance matrix 1\n");
readCovMatrix(name_cm2, cm2);
printf("Read covariance matrix 2\n");
std::vector<double*> binLimits;
std::vector<std::vector<int > > preU;
int i1 = 0, i2 = 0;
while(i1 < length1 || i2 < length2)
{
if(i1 < length1 && i2 < length2)
{
if((binLimits1[i1][1] + binLimits1[i1][0])/2 > binLimits2[i2][0] && (binLimits1[i1][1] + binLimits1[i1][0])/2 < binLimits2[i2][1])
{
binLimits.push_back(binLimits1[i1]);
std::vector<int> tmp;
tmp.push_back(i1);
tmp.push_back(i2);
preU.push_back(tmp);
i1++;
i2++;
}
else if((binLimits1[i1][1] + binLimits1[i1][0])/2 <= binLimits2[i2][0])
{
binLimits.push_back(binLimits1[i1]);
std::vector<int> tmp;
tmp.push_back(i1);
tmp.push_back(-1);
preU.push_back(tmp);
i1++;
}
else
{
binLimits.push_back(binLimits2[i2]);
std::vector<int> tmp;
tmp.push_back(-1);
tmp.push_back(i2);
preU.push_back(tmp);
i2++;
}
}
else if(i1 < length1 && i2 >= length2)
{
binLimits.push_back(binLimits1[i1]);
std::vector<int> tmp;
tmp.push_back(i1);
tmp.push_back(-1);
preU.push_back(tmp);
i1++;
}
else
{
binLimits.push_back(binLimits2[i2]);
std::vector<int> tmp;
tmp.push_back(-1);
tmp.push_back(i2);
preU.push_back(tmp);
i2++;
}
}
TVectorD dv(length1 + length2);
for(int i = 0; i < length1 + length2; i++)
{
dv[i] = (i < length1) ? dv1[i] : dv2[i - length1];
}
TMatrixT<double> cm(length1 + length2, length1 + length2), U(length1 + length2, preU.size());
for(int i = 0; i < length1; i++)
{
for(int j = 0; j < length1; j++)
{
cm[i][j] = cm1[i][j];
}
}
for(int i = length1; i < length1 + length2; i++)
{
for(int j = length1; j < length1 + length2; j++)
{
cm[i][j] = cm2[i - length1][j - length1];
}
}
for(unsigned int i = 0; i < preU.size(); i++)
{
if(preU[i][0] >= 0) U[preU[i][0]][i] = 1;
if(preU[i][1] >= 0) U[preU[i][1] + length1][i] = 1;
if(ftr > 1 && preU[i][0] >= 0 && preU[i][1] >= 0) cm[preU[i][0]][preU[i][1] + length1] = cm[preU[i][1] + length1][preU[i][0]] = ccCov1[preU[i][0]]*ccCov2[preU[i][1]];
}
// cm.Print();
TMatrixT<double> Ut(U);
Ut.T();
TMatrixT<double> cmInv(cm);
cmInv.Invert();
TMatrixT<double> step1 = Ut * cmInv * U;
TMatrixT<double> step2 = Ut * cmInv;
TMatrixT<double> lambda = step1.Invert() * step2;
TVectorD bV = lambda*dv;
TMatrixT<double> bcm = (Ut * cmInv * U).Invert();
printf("Done with combination.\n");
//write output
FILE *file;
char bVoutName[128], CMoutName[128];
sprintf(bVoutName, "%s_data.txt", outputNameStub);
file = fopen(bVoutName, "w");
if(file)
{
fprintf(file, "#\n#%9s %9s %9s %15s %15s\n", "Bin", "Y_min", "Y_max", "Value", "Uncertainty");
for(int i = 0; i < bV.GetNoElements(); i++)
{
fprintf(file, " %9i %9.2f %9.2f %15e %15e\n", i + 1, binLimits[i][0], binLimits[i][1], bV[i], sqrt(bcm[i][i]));
}
fclose(file);
}
sprintf(CMoutName, "%s_covMat.txt", outputNameStub);
file = fopen(CMoutName, "w");
if(file)
{
fprintf(file, "#\n#%9s %9s %15s\n", "Bin i", "Bin j", "Value");
for(int i = 0; i < bcm.GetNrows(); i++)
{
for(int j = 0; j < bcm.GetNcols(); j++)
{
fprintf(file, " %9i %9i %15e\n", i + 1, j + 1, bcm[i][j]);
}
}
fclose(file);
}
printf("Output complete.\n");
}
