public void testCCsGetNonZeros() {
SparseMatrixLil A = spzeros(3, 3);
A.append(1, 0, 5);
A.append(0, 1, 7);
A.append(0, 0, 11);
SparseMatrixCCS B = A.toCCS();
assertEquals(3, B.nonZeros());
assertEquals(2, B.nonZeros(0));
assertEquals(1, B.nonZeros(1));
assertEquals(0, B.nonZeros(2));
}
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 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 testSort() {
SparseMatrixLil 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);
B.sort();
System.out.println(B.toDense());
System.out.println(B);
assertEquals(11.0, B.values[0]);
assertEquals(5.0, B.values[1]);
assertEquals(7.0, B.values[2]);
SparseMatrixLil A = sprand(5, 8);
B = A.add(0); // make copy
System.out.println(B);
B.sort();
for (int i = 1; i < B.size; i++) {
assertTrue(B.colIdx[i] >= B.colIdx[i - 1]);
if (B.colIdx[i] == B.colIdx[i - 1]) {
assertTrue(B.rowIdx[i] >= B.rowIdx[i - 1]);
}
}
assertTrue(A.equals(B));
System.out.println(B);
SparseMatrixLil Bt = B.t();
System.out.println(Bt);
Bt.sort();
for (int i = 1; i < Bt.size; i++) {
assertTrue(Bt.colIdx[i] >= Bt.colIdx[i - 1]);
if (Bt.colIdx[i] == Bt.colIdx[i - 1]) {
assertTrue(Bt.rowIdx[i] >= Bt.rowIdx[i - 1]);
}
}
System.out.println(Bt);
assertTrue(A.toDense().t().equals(Bt));
}
public void testSliceSparse() {
SparseMatrixLil A = sprand(5, 8);
SparseMatrixLil B = sprand(5, 12);
SparseMatrixLil C = sprand(4, 8);
SparseMatrixLil AB = A.concatRight(B);
assertTrue(A.equals(AB.cols(0, 8)));
assertTrue(B.equals(AB.cols(8, 20)));
SparseMatrixLil AC = A.concatDown(C);
assertTrue(A.equals(AC.rows(0, 5)));
assertTrue(C.equals(AC.rows(5, 9)));
A = spzeros(1, 5);
A.append(0, 2, 3);
assertEquals(A.row(0).cols, 5);
}
