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- #include <test_common.h>
- #include <Eigen/Sparse>
- #include <igl/repmat.h>
- template <typename T, int majorType>
- void checkRepmat(
- Eigen::SparseMatrix<T, majorType> &A,
- Eigen::SparseMatrix<T, majorType> &B,
- const int rows,
- const int cols,
- const int r,
- const int c)
- {
- for (int i = 0; i < rows; i++)
- {
- for (int j = 0; j < cols; j++)
- {
- for (int ii = 0; ii < r; ii++)
- {
- for (int jj = 0; jj < c; jj++)
- {
- REQUIRE (A.coeff(i, j) == B.coeff(i + ii * rows, j + jj * cols));
- }
- }
- }
- }
- }
- template <typename T, int majorType>
- void testRepmat(
- const int rows,
- const int cols,
- const int r,
- const int c)
- {
- Eigen::SparseMatrix<T, majorType> A;
- A = (Eigen::Matrix<T, Eigen::Dynamic,
- Eigen::Dynamic>().setRandom(rows, cols).sparseView());
- Eigen::SparseMatrix<T, majorType> B;
- igl::repmat(A, r, c, B);
- REQUIRE (B.rows() == r * rows);
- REQUIRE (B.cols() == c * cols);
- checkRepmat<T, majorType>(A, B, rows, cols, r, c);
- }
- TEST_CASE("repmat: sparse rowMajor", "[igl]")
- {
- testRepmat<double, Eigen::RowMajor>(4, 5, 2, 4);
- testRepmat< int, Eigen::RowMajor>(2, 8, 3, 4);
- testRepmat< float, Eigen::RowMajor>(6, 10, 2, 2);
- }
- TEST_CASE("repmat: sparse colMajor", "[igl]")
- {
- testRepmat<double, Eigen::ColMajor>(4, 5, 3, 5);
- testRepmat< int, Eigen::ColMajor>(2, 8, 3, 5);
- testRepmat< float, Eigen::ColMajor>(6, 10, 3, 5);
- }
-
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