tempest/test/sparse/static_sparse_matrix_test.cpp

#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(-1, 1, 1), mrmc::exceptions::out_of_range);
	ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::Error);

	ASSERT_THROW(ssm->addNextValue(1, -1, 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 = 0; row < 10; ++row) {
		for (int col = 0; col < 10; ++col) {
			ASSERT_TRUE(ssm->getValue(row, col, &target));
			ASSERT_EQ(target, row * 10 + col);
		}
	}
}

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 = 0; row < 10; ++row) {
		for (int col = 0; col < 10; ++col) {
			ASSERT_TRUE(ssm->getValue(row, col, &target));
			ASSERT_EQ(target, row * 10 + col);
		}
	}
}

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(), coeff.col(), &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(), coeff.col(), &target));
		ASSERT_EQ(target, coeff.value());
	}
}

TEST(StaticSparseMatrixTest, ConversionToSparseEigen_RowMajor_SparseMatrixTest) {
	int values[100];
	mrmc::sparse::StaticSparseMatrix<int> *ssm = new mrmc::sparse::StaticSparseMatrix<int>(10);

	for (uint_fast32_t i = 0; i < 100; ++i) {
		values[i] = i;
	}

	ASSERT_NO_THROW(ssm->initialize(100 - 10));
	ASSERT_EQ(ssm->getState(), mrmc::sparse::StaticSparseMatrix<int>::MatrixStatus::Initialized);

	for (uint_fast32_t row = 0; row < 10; ++row) {
		for (uint_fast32_t col = 0; col < 10; ++col) {
			ASSERT_NO_THROW(ssm->addNextValue(row, col, values[row * 10 + col]));
		}
	}
	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);

	Eigen::SparseMatrix<int, Eigen::RowMajor, int_fast32_t>* esm = ssm->toEigenSparseMatrix();

	for (uint_fast32_t row = 0; row < 10; ++row) {
		for (uint_fast32_t col = 0; col < 10; ++col) {
			ASSERT_EQ(values[row * 10 + col], esm->coeff(row, col));
		}
	}
}