You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 

284 lines
10 KiB

#include "gtest/gtest.h"
#include "src/sparse/static_sparse_matrix.h"
#include "src/exceptions/invalid_argument.h"
TEST(StaticSparseMatrixTest, ZeroRowsTest) {
mrmc::sparse::StaticSparseMatrix<int> *ssm = new mrmc::sparse::StaticSparseMatrix<int>(0);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::UnInitialized);
ASSERT_THROW(ssm->initialize(50), mrmc::exceptions::invalid_argument);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::Error);
delete ssm;
}
TEST(StaticSparseMatrixTest, TooManyEntriesTest) {
mrmc::sparse::StaticSparseMatrix<int> *ssm = new mrmc::sparse::StaticSparseMatrix<int>(2);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::UnInitialized);
ASSERT_THROW(ssm->initialize(10), mrmc::exceptions::invalid_argument);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::Error);
delete ssm;
}
TEST(StaticSparseMatrixTest, addNextValueTest) {
mrmc::sparse::StaticSparseMatrix<int> *ssm = new mrmc::sparse::StaticSparseMatrix<int>(5);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::UnInitialized);
ASSERT_NO_THROW(ssm->initialize(1));
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::Initialized);
ASSERT_THROW(ssm->addNextValue(0, 1, 1), mrmc::exceptions::out_of_range);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::Error);
ASSERT_THROW(ssm->addNextValue(1, 0, 1), mrmc::exceptions::out_of_range);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::Error);
ASSERT_THROW(ssm->addNextValue(6, 1, 1), mrmc::exceptions::out_of_range);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::Error);
ASSERT_THROW(ssm->addNextValue(1, 6, 1), mrmc::exceptions::out_of_range);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::Error);
delete ssm;
}
TEST(StaticSparseMatrixTest, finalizeTest) {
mrmc::sparse::StaticSparseMatrix<int> *ssm = new mrmc::sparse::StaticSparseMatrix<int>(5);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::UnInitialized);
ASSERT_NO_THROW(ssm->initialize(5));
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::Initialized);
ASSERT_NO_THROW(ssm->addNextValue(1, 2, 1));
ASSERT_NO_THROW(ssm->addNextValue(1, 3, 1));
ASSERT_NO_THROW(ssm->addNextValue(1, 4, 1));
ASSERT_NO_THROW(ssm->addNextValue(1, 5, 1));
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::Initialized);
ASSERT_THROW(ssm->finalize(), mrmc::exceptions::invalid_state);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::Error);
delete ssm;
}
TEST(StaticSparseMatrixTest, Test) {
// 25 rows, 50 non zero entries
mrmc::sparse::StaticSparseMatrix<int> *ssm = new mrmc::sparse::StaticSparseMatrix<int>(25);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::UnInitialized);
int values[50] = {
0, 1, 2, 3, 4, 5, 6, 7, 8, 9,
10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
20, 21, 22, 23, 24, 25, 26, 27, 28, 29,
30, 31, 32, 33, 34, 35, 36, 37, 38, 39,
40, 41, 42, 43, 44, 45, 46, 47, 48, 49
};
int position_row[50] = {
2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, /* first row empty, one full row � 25 minus the diagonal entry */
4, 4, /* one empty row, then first and last column */
13, 13, 13, 13, /* a few empty rows, middle columns */
24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24 /* second to last row */
};
int position_col[50] = {
1, 3, 4, 5, 6, 7, 8, 9, 10,
11, 12, 13, 14, 15, 16, 17, 18, 19, 20,
21, 22, 23, 24, 25, /* first row empty, one full row a 25 */
1, 25, /* one empty row, then first and last column */
16, 17, 18, 19, /* a few empty rows, middle columns */
2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
14, 15, 16, 17, 18, 19, 20, 21, 22, 23 /* second to last row */
};
ASSERT_NO_THROW(ssm->initialize(50));
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::Initialized);
for (int i = 0; i < 50; ++i) {
ASSERT_NO_THROW(ssm->addNextValue(position_row[i], position_col[i], values[i]));
}
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::Initialized);
ASSERT_NO_THROW(ssm->finalize());
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::ReadReady);
int target;
for (int i = 0; i < 50; ++i) {
ASSERT_TRUE(ssm->getValue(position_row[i], position_col[i], &target));
ASSERT_EQ(values[i], target);
}
// test for a few of the empty rows
for (int row = 15; row < 24; ++row) {
for (int col = 1; col <= 25; ++col) {
target = 1;
if (row != col) {
ASSERT_FALSE(ssm->getValue(row, col, &target));
} else {
ASSERT_TRUE(ssm->getValue(row, col, &target));
}
ASSERT_EQ(0, target);
}
}
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::ReadReady);
delete ssm;
}
TEST(StaticSparseMatrixTest, ConversionFromDenseEigen_ColMajor_SparseMatrixTest) {
// 10 rows, 100 non zero entries
mrmc::sparse::StaticSparseMatrix<int> *ssm = new mrmc::sparse::StaticSparseMatrix<int>(10);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::UnInitialized);
Eigen::SparseMatrix<int> esm(10, 10);
for (int row = 0; row < 10; ++row) {
for (int col = 0; col < 10; ++col) {
esm.insert(row, col) = row * 10 + col;
}
}
// make compressed, important for initialize()
esm.makeCompressed();
ASSERT_NO_THROW(ssm->initialize(esm));
ASSERT_NO_THROW(ssm->finalize());
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::ReadReady);
int target = -1;
for (int row = 1; row <= 10; ++row) {
for (int col = 1; col <= 10; ++col) {
ASSERT_TRUE(ssm->getValue(row, col, &target));
ASSERT_EQ(target, (row - 1) * 10 + col - 1);
}
}
}
TEST(StaticSparseMatrixTest, ConversionFromDenseEigen_RowMajor_SparseMatrixTest) {
// 10 rows, 100 non zero entries
mrmc::sparse::StaticSparseMatrix<int> *ssm = new mrmc::sparse::StaticSparseMatrix<int>(10);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::UnInitialized);
Eigen::SparseMatrix<int, Eigen::RowMajor> esm(10, 10);
for (int row = 0; row < 10; ++row) {
for (int col = 0; col < 10; ++col) {
esm.insert(row, col) = row * 10 + col;
}
}
// make compressed, important for initialize()
esm.makeCompressed();
ASSERT_NO_THROW(ssm->initialize(esm));
ASSERT_NO_THROW(ssm->finalize());
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::ReadReady);
int target = -1;
for (int row = 1; row <= 10; ++row) {
for (int col = 1; col <= 10; ++col) {
ASSERT_TRUE(ssm->getValue(row, col, &target));
ASSERT_EQ(target, (row - 1) * 10 + col - 1);
}
}
}
TEST(StaticSparseMatrixTest, ConversionFromSparseEigen_ColMajor_SparseMatrixTest) {
// 10 rows, 15 non zero entries
mrmc::sparse::StaticSparseMatrix<int> *ssm = new mrmc::sparse::StaticSparseMatrix<int>(10);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::UnInitialized);
Eigen::SparseMatrix<int> esm(10, 10);
typedef Eigen::Triplet<int> IntTriplet;
std::vector<IntTriplet> tripletList;
tripletList.reserve(15);
tripletList.push_back(IntTriplet(1, 0, 0));
tripletList.push_back(IntTriplet(1, 1, 1));
tripletList.push_back(IntTriplet(1, 2, 2));
tripletList.push_back(IntTriplet(1, 3, 3));
tripletList.push_back(IntTriplet(1, 4, 4));
tripletList.push_back(IntTriplet(1, 5, 5));
tripletList.push_back(IntTriplet(1, 6, 6));
tripletList.push_back(IntTriplet(1, 7, 7));
tripletList.push_back(IntTriplet(1, 8, 8));
tripletList.push_back(IntTriplet(1, 9, 9));
tripletList.push_back(IntTriplet(4, 3, 10));
tripletList.push_back(IntTriplet(4, 6, 11));
tripletList.push_back(IntTriplet(4, 9, 12));
tripletList.push_back(IntTriplet(6, 0, 13));
tripletList.push_back(IntTriplet(8, 9, 14));
esm.setFromTriplets(tripletList.begin(), tripletList.end());
// make compressed, important for initialize()
esm.makeCompressed();
ASSERT_NO_THROW(ssm->initialize(esm));
ASSERT_NO_THROW(ssm->finalize());
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::ReadReady);
int target = -1;
for (auto &coeff: tripletList) {
ASSERT_TRUE(ssm->getValue(coeff.row() + 1, coeff.col() + 1, &target));
ASSERT_EQ(target, coeff.value());
}
}
TEST(StaticSparseMatrixTest, ConversionFromSparseEigen_RowMajor_SparseMatrixTest) {
// 10 rows, 15 non zero entries
mrmc::sparse::StaticSparseMatrix<int> *ssm = new mrmc::sparse::StaticSparseMatrix<int>(10);
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::UnInitialized);
Eigen::SparseMatrix<int, Eigen::RowMajor> esm(10, 10);
typedef Eigen::Triplet<int> IntTriplet;
std::vector<IntTriplet> tripletList;
tripletList.reserve(15);
tripletList.push_back(IntTriplet(1, 0, 0));
tripletList.push_back(IntTriplet(1, 1, 1));
tripletList.push_back(IntTriplet(1, 2, 2));
tripletList.push_back(IntTriplet(1, 3, 3));
tripletList.push_back(IntTriplet(1, 4, 4));
tripletList.push_back(IntTriplet(1, 5, 5));
tripletList.push_back(IntTriplet(1, 6, 6));
tripletList.push_back(IntTriplet(1, 7, 7));
tripletList.push_back(IntTriplet(1, 8, 8));
tripletList.push_back(IntTriplet(1, 9, 9));
tripletList.push_back(IntTriplet(4, 3, 10));
tripletList.push_back(IntTriplet(4, 6, 11));
tripletList.push_back(IntTriplet(4, 9, 12));
tripletList.push_back(IntTriplet(6, 0, 13));
tripletList.push_back(IntTriplet(8, 9, 14));
esm.setFromTriplets(tripletList.begin(), tripletList.end());
// make compressed, important for initialize()
esm.makeCompressed();
ASSERT_NO_THROW(ssm->initialize(esm));
ASSERT_NO_THROW(ssm->finalize());
ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::ReadReady);
int target = -1;
for (auto &coeff: tripletList) {
ASSERT_TRUE(ssm->getValue(coeff.row() + 1, coeff.col() + 1, &target));
ASSERT_EQ(target, coeff.value());
}
}