public void testCreateSparse() {
DenseMatrix A = rand(5, 5);
SparseMatrixLil B = A.toSparseLil();
assertTrue(B.equals(B.mmul(eye(5))));
assertTrue(B.equals(B.t().mmul(eye(5)).t()));
B = spzeros(2, 2);
B.append(1, 0, 5);
B.append(0, 1, 7);
B.append(0, 0, 11);
System.out.println(B.toDense());
System.out.println(B.mmul(eye(2)));
assertTrue(B.equals(B.mmul(eye(2))));
}
public void testTranspose() {
DenseMatrix A = rand(5, 8);
DenseMatrix At = A.t();
assertEquals(5, At.cols);
assertEquals(8, At.rows);
assertTrue(A.equals(At.t()));
SparseMatrixLil B = A.toSparseLil();
SparseMatrixLil Bt = B.t();
assertEquals(5, Bt.cols);
assertEquals(8, Bt.rows);
assertTrue(At.equals(Bt));
assertTrue(A.equals(Bt.t()));
}
public void testSum() {
DenseMatrix A = new DenseMatrix(new double[][] {{1, 9}, {7, 3}});
assertTrue(new DenseMatrix(new double[][] {{8, 12}}).equals(A.sumOverRows()));
assertTrue(new DenseMatrix(new double[][] {{10}, {10}}).equals(A.sumOverCols()));
SparseMatrixLil B = A.toSparseLil();
assertTrue(new DenseMatrix(new double[][] {{8, 12}}).toSparseLil().equals(B.sumOverRows()));
assertTrue(new DenseMatrix(new double[][] {{10}, {10}}).toSparseLil().equals(B.sumOverCols()));
assertTrue(B.sumOverRows().equals(A.sumOverRows()));
assertTrue(B.sumOverCols().equals(A.sumOverCols()));
assertEquals(B.sum().sum().s(), A.sum().sum().s());
SparseMatrixLil C = spzeros(4, 5);
C.append(1, 2, 5);
C.append(3, 1, 3);
C.append(3, 2, 7);
C.append(1, 4, 11);
System.out.println(C.sumOverRows());
assertTrue(new DenseMatrix(new double[][] {{0, 3, 12, 0, 11}}).equals(C.sumOverRows()));
System.out.println(C.sumOverCols());
assertTrue(new DenseMatrix(new double[][] {{0}, {16}, {0}, {10}}).equals(C.sumOverCols()));
assertEquals(26.0, C.sumOverCols().sumOverRows().s());
assertEquals(26.0, C.sumOverRows().sumOverCols().s());
}
public void testToSparse() {
DenseMatrix A = rand(5, 8);
assertTrue(A.equals(A.toSparseLil().toDense()));
}
