public void testElements() {
DenseMatrix A = rand(5, 8);
DenseMatrix B = rand(5, 8);
assertTrue(zeros(5, 8).equals(A.sub(A)));
assertTrue(A.equals(A.add(A).div(2)));
assertTrue(ones(5, 8).equals(A.div(A)));
assertTrue(A.equals(A.mul(A).div(A)));
assertTrue(A.neg().abs().equals(A));
assertTrue(A.neg().add(A).equals(zeros(5, 8)));
}
public void testSlice() {
DenseMatrix A = rand(5, 8);
DenseMatrix B = rand(5, 12);
DenseMatrix C = rand(4, 8);
DenseMatrix AB = A.concatRight(B);
assertTrue(A.equals(AB.cols(0, 8)));
assertTrue(B.equals(AB.cols(8, 20)));
DenseMatrix AC = A.concatDown(C);
assertTrue(A.equals(AC.rows(0, 5)));
assertTrue(C.equals(AC.rows(5, 9)));
}
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 testColsIndexeddense() {
DenseMatrix A = new DenseMatrix("1 5 3; 2 8 5; 1 9 4; 2 5 3").t();
DenseMatrix indexes = new DenseMatrix("2; 1; 1");
DenseMatrix B = A.cols(indexes);
System.out.println(B);
assertTrue(B.equals(new DenseMatrix("1 9 4; 2 8 5; 2 8 5").t()));
}
public void testConstructorByString() {
DenseMatrix foo = new DenseMatrix("1 3; 5 7; 3 5");
assertEquals(3, foo.rows);
assertEquals(2, foo.cols);
assertTrue(foo.equals(new DenseMatrix(new double[][] {{1, 3}, {5, 7}, {3, 5}})));
assertEquals(5.0, foo.get(1, 0));
assertEquals(7.0, foo.get(1, 1));
}
public void testMultBasic() {
DenseMatrix A = new DenseMatrix(new double[][] {{3, 4}, {5, 6}, {3, 9}});
DenseMatrix B = new DenseMatrix(new double[][] {{2, 9, 1, 2}, {4, 1, 3, 2}});
DenseMatrix C = A.mmul(B);
System.out.println(C);
DenseMatrix Ccorrect =
new DenseMatrix(new double[][] {{22, 31, 15, 14}, {34, 51, 23, 22}, {42, 36, 30, 24}});
assertTrue(C.equals(Ccorrect));
}
public void testSparseDenseMmul() {
int K = 60;
int N = thousandconstant;
SparseMatrixLil A = SparseMatrixLil.rand(K, N);
DenseMatrix B = DenseMatrix.rand(N, K);
Timer timer = new Timer();
DenseMatrix C = A.mmul(B);
timer.printTimeCheckMilliseconds();
DenseMatrix C2 = A.toDense().mmul(B);
assertTrue(C.equals(C2));
}
public void testminovercols() {
DenseMatrix A = new DenseMatrix("1 5 3; 2 8 5; 1 9 4; 2 5 3");
DenseMatrix B = A.minOverCols();
assertTrue(B.equals(new DenseMatrix("1; 2; 1; 2")));
}
public void testmaxovercols() {
DenseMatrix A = new DenseMatrix("1 5 3; 2 8 5; 1 9 4; 2 5 3");
DenseMatrix B = A.maxOverCols();
assertTrue(B.equals(new DenseMatrix("5; 8; 9; 5")));
}
public void testmaxoverrows() {
DenseMatrix A = new DenseMatrix("1 5 3; 2 8 5; 1 9 4; 2 5 3");
DenseMatrix B = A.maxOverRows();
assertTrue(B.equals(new DenseMatrix("2 9 5")));
}
public void testnonzerocols() {
DenseMatrix A = new DenseMatrix("1 2 0 3 5 0");
DenseMatrix B = A.nonZeroCols();
assertTrue(B.equals(new DenseMatrix("0; 1; 3; 4")));
}
public void testnonzerorows() {
DenseMatrix A = new DenseMatrix("1; 2; 0; 3; 5; 0");
DenseMatrix B = A.nonZeroRows();
assertTrue(B.equals(new DenseMatrix("0; 1; 3; 4")));
}
public void testToSparse() {
DenseMatrix A = rand(5, 8);
assertTrue(A.equals(A.toSparseLil().toDense()));
}
