Esempio n. 1
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  public void testThreeSparse() {
    int K = 60;
    int N = thousandconstant;
    SparseMatrixLil A = SparseMatrixLil.rand(N, K);
    SparseMatrixLil B = SparseMatrixLil.rand(K, N);
    //		System.out.println(A.toDense());
    Timer timer = new Timer();
    SparseMatrixLil C = B.mmul(A);
    timer.printTimeCheckMilliseconds();
    SparseMatrixLil C1 = B.mmul(A);
    timer.printTimeCheckMilliseconds();
    SparseMatrixLil C2 = B.mmul(A);
    timer.printTimeCheckMilliseconds();
    DenseMatrix CDense = B.toDense().mmul(A.toDense());
    timer.printTimeCheckMilliseconds("for dense");
    assertTrue(C.equals(CDense));

    K = 400;
    N = thousandconstant;
    A = SparseMatrixLil.rand(N, K);
    B = SparseMatrixLil.rand(K, N);
    //		System.out.println(A.toDense());
    timer = new Timer();
    C = B.mmul(A);
    timer.printTimeCheckMilliseconds();
    C1 = B.mmul(A);
    timer.printTimeCheckMilliseconds();
    C2 = B.mmul(A);
    timer.printTimeCheckMilliseconds();
    CDense = B.toDense().mmul(A.toDense());
    timer.printTimeCheckMilliseconds("for dense");
    assertTrue(C.equals(CDense));
  }
Esempio n. 2
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 public void testOneSparse() {
   SparseMatrixLil A = SparseMatrixLil.rand(3, 3).t();
   System.out.println(A);
   SparseMatrixLil B = SparseMatrixLil.rand(3, 3);
   System.out.println(B);
   SparseMatrixLil C = A.mmul(B);
   System.out.println(C);
   DenseMatrix CDense = A.toDense().mmul(B.toDense());
   System.out.println(CDense);
   assertTrue(C.equals(CDense));
 }
Esempio n. 3
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 public void testRowsIndexed() {
   SparseMatrixLil A = new SparseMatrixLil("1 5 3; 2 8 5; 1 9 4; 2 5 3");
   DenseMatrix indexes = new DenseMatrix("2; 1; 1");
   SparseMatrixLil B = A.rows(indexes);
   System.out.println(B.toDense());
   assertTrue(B.equals(new SparseMatrixLil("1 9 4; 2 8 5; 2 8 5")));
 }
Esempio n. 4
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 public void testConstructorByStringSparse() {
   SparseMatrixLil foo = new SparseMatrixLil("1 0; 5 7; 0 5");
   assertEquals(3, foo.rows);
   assertEquals(2, foo.cols);
   assertTrue(foo.equals(new DenseMatrix(new double[][] {{1, 0}, {5, 7}, {0, 5}})));
   assertEquals(5.0, foo.toDense().get(1, 0));
   assertEquals(7.0, foo.toDense().get(1, 1));
   assertEquals(4, foo.size);
 }
Esempio n. 5
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 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));
 }
Esempio n. 6
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 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))));
 }
Esempio n. 7
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  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));
  }
Esempio n. 8
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  public void xtestSortViaNative() {
    SparseMatrixLil B = spzeros(2, 2);
    System.out.println("xtestSortViaNative");

    int R = thousandconstant;
    int C = largematrixsize;
    SparseMatrixLil A = sprand(R, C);
    System.out.println("created A");
    B = A.add(0); // make copy
    System.out.println("created B");
    //		System.out.println(B);
    //		B.sort();
    B = B.mmul(speye(C));
    for (int i = 0; i < B.size; i++) {
      if (i > 0) {
        assertTrue(B.colIdx[i] >= B.colIdx[i - 1]);
        if (B.colIdx[i] == B.colIdx[i - 1]) {
          assertTrue(B.rowIdx[i] >= B.rowIdx[i - 1]);
        }
      }
      assertEquals(A.rowIdx[i], B.rowIdx[i]);
      assertEquals(A.colIdx[i], B.colIdx[i]);
      assertEquals(A.values[i], B.values[i]);
    }
    System.out.println("sorted B");
    //		assertTrue( A.equals(B));
    //		System.out.println("asserted equals");
    //		System.out.println(B);
    B = null;
    SparseMatrixLil Bt = A.t(); // t() is also a copy
    System.out.println("transposed A");
    //		System.out.println(Bt);
    //		Bt.sort();
    Bt = Bt.mmul(speye(R));
    System.out.println("sorted Bt");
    for (int i = 0; i < Bt.size; i++) {
      if (i > 0) {
        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));
    System.out.println("checed equal to At");
  }
Esempio n. 9
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  public void testSortBigMatrixFast() { // you will need to add option -Xmx1400m to run this
    System.out.println("testSortBigMatrixFast");
    SparseMatrixLil B = spzeros(2, 2);

    SparseMatrixLil A = sprand(1000, largematrixsize);
    System.out.println("created A");
    B = A.add(0); // make copy
    System.out.println("created B");
    //		System.out.println(B);
    B.sortFast();
    for (int i = 0; i < B.size; i++) {
      if (i > 0) {
        assertTrue(B.colIdx[i] >= B.colIdx[i - 1]);
        if (B.colIdx[i] == B.colIdx[i - 1]) {
          assertTrue(B.rowIdx[i] >= B.rowIdx[i - 1]);
        }
      }
      assertEquals(A.rowIdx[i], B.rowIdx[i]);
      assertEquals(A.colIdx[i], B.colIdx[i]);
      assertEquals(A.values[i], B.values[i]);
    }
    System.out.println("sorted B");
    //		assertTrue( A.equals(B));
    //		System.out.println("asserted equals");
    //		System.out.println(B);
    B = null;
    SparseMatrixLil Bt = A.t(); // t() is also a copy
    System.out.println("transposed A");
    //		System.out.println(Bt);
    Timer timer = new Timer();
    Bt.sortFast();
    timer.printTimeCheckMilliseconds();
    System.out.println("sorted Bt");
    for (int i = 0; i < Bt.size; i++) {
      if (i > 0) {
        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));
    System.out.println("checed equal to At");
  }