C++ CALL_SUBTEST_6函数代码示例

void test_array_for_matrix()
{
  int maxsize = 40;
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_1( array_for_matrix(Matrix<float, 1, 1>()) );
    CALL_SUBTEST_2( array_for_matrix(Matrix2f()) );
    CALL_SUBTEST_3( array_for_matrix(Matrix4d()) );
    CALL_SUBTEST_4( array_for_matrix(MatrixXcf(internal::random<int>(1,maxsize), internal::random<int>(1,maxsize))) );
    CALL_SUBTEST_5( array_for_matrix(MatrixXf(internal::random<int>(1,maxsize), internal::random<int>(1,maxsize))) );
    CALL_SUBTEST_6( array_for_matrix(MatrixXi(internal::random<int>(1,maxsize), internal::random<int>(1,maxsize))) );
  }
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_1( comparisons(Matrix<float, 1, 1>()) );
    CALL_SUBTEST_2( comparisons(Matrix2f()) );
    CALL_SUBTEST_3( comparisons(Matrix4d()) );
    CALL_SUBTEST_5( comparisons(MatrixXf(internal::random<int>(1,maxsize), internal::random<int>(1,maxsize))) );
    CALL_SUBTEST_6( comparisons(MatrixXi(internal::random<int>(1,maxsize), internal::random<int>(1,maxsize))) );
  }
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_1( lpNorm(Matrix<float, 1, 1>()) );
    CALL_SUBTEST_2( lpNorm(Vector2f()) );
    CALL_SUBTEST_7( lpNorm(Vector3d()) );
    CALL_SUBTEST_8( lpNorm(Vector4f()) );
    CALL_SUBTEST_5( lpNorm(VectorXf(internal::random<int>(1,maxsize))) );
    CALL_SUBTEST_4( lpNorm(VectorXcf(internal::random<int>(1,maxsize))) );
  }
}

void test_redux()
{
  // the max size cannot be too large, otherwise reduxion operations obviously generate large errors.
  int maxsize = (std::min)(100,EIGEN_TEST_MAX_SIZE);
  EIGEN_UNUSED_VARIABLE(maxsize);
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_1( matrixRedux(Matrix<float, 1, 1>()) );
    CALL_SUBTEST_1( matrixRedux(Array<float, 1, 1>()) );
    CALL_SUBTEST_2( matrixRedux(Matrix2f()) );
    CALL_SUBTEST_2( matrixRedux(Array2f()) );
    CALL_SUBTEST_3( matrixRedux(Matrix4d()) );
    CALL_SUBTEST_3( matrixRedux(Array4d()) );
    CALL_SUBTEST_4( matrixRedux(MatrixXcf(internal::random<int>(1,maxsize), internal::random<int>(1,maxsize))) );
    CALL_SUBTEST_4( matrixRedux(ArrayXXcf(internal::random<int>(1,maxsize), internal::random<int>(1,maxsize))) );
    CALL_SUBTEST_5( matrixRedux(MatrixXd (internal::random<int>(1,maxsize), internal::random<int>(1,maxsize))) );
    CALL_SUBTEST_5( matrixRedux(ArrayXXd (internal::random<int>(1,maxsize), internal::random<int>(1,maxsize))) );
    CALL_SUBTEST_6( matrixRedux(MatrixXi (internal::random<int>(1,maxsize), internal::random<int>(1,maxsize))) );
    CALL_SUBTEST_6( matrixRedux(ArrayXXi (internal::random<int>(1,maxsize), internal::random<int>(1,maxsize))) );
  }
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_7( vectorRedux(Vector4f()) );
    CALL_SUBTEST_7( vectorRedux(Array4f()) );
    CALL_SUBTEST_5( vectorRedux(VectorXd(internal::random<int>(1,maxsize))) );
    CALL_SUBTEST_5( vectorRedux(ArrayXd(internal::random<int>(1,maxsize))) );
    CALL_SUBTEST_8( vectorRedux(VectorXf(internal::random<int>(1,maxsize))) );
    CALL_SUBTEST_8( vectorRedux(ArrayXf(internal::random<int>(1,maxsize))) );
  }
}

void test_mapstride()
{
    for(int i = 0; i < g_repeat; i++) {
        EIGEN_UNUSED int maxn = 30;
        CALL_SUBTEST_1( map_class_vector<Aligned>(Matrix<float, 1, 1>()) );
        CALL_SUBTEST_1( map_class_vector<Unaligned>(Matrix<float, 1, 1>()) );
        CALL_SUBTEST_2( map_class_vector<Aligned>(Vector4d()) );
        CALL_SUBTEST_2( map_class_vector<Unaligned>(Vector4d()) );
        CALL_SUBTEST_3( map_class_vector<Aligned>(RowVector4f()) );
        CALL_SUBTEST_3( map_class_vector<Unaligned>(RowVector4f()) );
        CALL_SUBTEST_4( map_class_vector<Aligned>(VectorXcf(internal::random<int>(1,maxn))) );
        CALL_SUBTEST_4( map_class_vector<Unaligned>(VectorXcf(internal::random<int>(1,maxn))) );
        CALL_SUBTEST_5( map_class_vector<Aligned>(VectorXi(internal::random<int>(1,maxn))) );
        CALL_SUBTEST_5( map_class_vector<Unaligned>(VectorXi(internal::random<int>(1,maxn))) );

        CALL_SUBTEST_1( map_class_matrix<Aligned>(Matrix<float, 1, 1>()) );
        CALL_SUBTEST_1( map_class_matrix<Unaligned>(Matrix<float, 1, 1>()) );
        CALL_SUBTEST_2( map_class_matrix<Aligned>(Matrix4d()) );
        CALL_SUBTEST_2( map_class_matrix<Unaligned>(Matrix4d()) );
        CALL_SUBTEST_3( map_class_matrix<Aligned>(Matrix<float,3,5>()) );
        CALL_SUBTEST_3( map_class_matrix<Unaligned>(Matrix<float,3,5>()) );
        CALL_SUBTEST_3( map_class_matrix<Aligned>(Matrix<float,4,8>()) );
        CALL_SUBTEST_3( map_class_matrix<Unaligned>(Matrix<float,4,8>()) );
        CALL_SUBTEST_4( map_class_matrix<Aligned>(MatrixXcf(internal::random<int>(1,maxn),internal::random<int>(1,maxn))) );
        CALL_SUBTEST_4( map_class_matrix<Unaligned>(MatrixXcf(internal::random<int>(1,maxn),internal::random<int>(1,maxn))) );
        CALL_SUBTEST_5( map_class_matrix<Aligned>(MatrixXi(internal::random<int>(1,maxn),internal::random<int>(1,maxn))) );
        CALL_SUBTEST_5( map_class_matrix<Unaligned>(MatrixXi(internal::random<int>(1,maxn),internal::random<int>(1,maxn))) );
        CALL_SUBTEST_6( map_class_matrix<Aligned>(MatrixXcd(internal::random<int>(1,maxn),internal::random<int>(1,maxn))) );
        CALL_SUBTEST_6( map_class_matrix<Unaligned>(MatrixXcd(internal::random<int>(1,maxn),internal::random<int>(1,maxn))) );
    }
}

void test_sparse_basic()
{
  for(int i = 0; i < g_repeat; i++) {
    int r = Eigen::internal::random<int>(1,200), c = Eigen::internal::random<int>(1,200);
    if(Eigen::internal::random<int>(0,4) == 0) {
      r = c; // check square matrices in 25% of tries
    }
    EIGEN_UNUSED_VARIABLE(r+c);
    CALL_SUBTEST_1(( sparse_basic(SparseMatrix<double>(1, 1)) ));
    CALL_SUBTEST_1(( sparse_basic(SparseMatrix<double>(8, 8)) ));
    CALL_SUBTEST_2(( sparse_basic(SparseMatrix<std::complex<double>, ColMajor>(r, c)) ));
    CALL_SUBTEST_2(( sparse_basic(SparseMatrix<std::complex<double>, RowMajor>(r, c)) ));
    CALL_SUBTEST_1(( sparse_basic(SparseMatrix<double>(r, c)) ));
    CALL_SUBTEST_5(( sparse_basic(SparseMatrix<double,ColMajor,long int>(r, c)) ));
    CALL_SUBTEST_5(( sparse_basic(SparseMatrix<double,RowMajor,long int>(r, c)) ));
    
    r = Eigen::internal::random<int>(1,100);
    c = Eigen::internal::random<int>(1,100);
    if(Eigen::internal::random<int>(0,4) == 0) {
      r = c; // check square matrices in 25% of tries
    }
    
    CALL_SUBTEST_6(( sparse_basic(SparseMatrix<double,ColMajor,short int>(short(r), short(c))) ));
    CALL_SUBTEST_6(( sparse_basic(SparseMatrix<double,RowMajor,short int>(short(r), short(c))) ));
  }

  // Regression test for bug 900: (manually insert higher values here, if you have enough RAM):
  CALL_SUBTEST_3((big_sparse_triplet<SparseMatrix<float, RowMajor, int> >(10000, 10000, 0.125)));
  CALL_SUBTEST_4((big_sparse_triplet<SparseMatrix<double, ColMajor, long int> >(10000, 10000, 0.125)));
}

void test_geo_transformations()
{
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_1(( transformations<double,Affine,AutoAlign>() ));
    CALL_SUBTEST_1(( non_projective_only<double,Affine,AutoAlign>() ));
    
    CALL_SUBTEST_2(( transformations<float,AffineCompact,AutoAlign>() ));
    CALL_SUBTEST_2(( non_projective_only<float,AffineCompact,AutoAlign>() ));
    CALL_SUBTEST_2(( transform_alignment<float>() ));
    
    CALL_SUBTEST_3(( transformations<double,Projective,AutoAlign>() ));
    CALL_SUBTEST_3(( transformations<double,Projective,DontAlign>() ));
    CALL_SUBTEST_3(( transform_alignment<double>() ));
    
    CALL_SUBTEST_4(( transformations<float,Affine,RowMajor|AutoAlign>() ));
    CALL_SUBTEST_4(( non_projective_only<float,Affine,RowMajor>() ));
    
    CALL_SUBTEST_5(( transformations<double,AffineCompact,RowMajor|AutoAlign>() ));
    CALL_SUBTEST_5(( non_projective_only<double,AffineCompact,RowMajor>() ));

    CALL_SUBTEST_6(( transformations<double,Projective,RowMajor|AutoAlign>() ));
    CALL_SUBTEST_6(( transformations<double,Projective,RowMajor|DontAlign>() ));


    CALL_SUBTEST_7(( transform_products<double,3,RowMajor|AutoAlign>() ));
    CALL_SUBTEST_7(( transform_products<float,2,AutoAlign>() ));
  }
}

void test_eigen2_array()
{
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_1( array(Matrix<float, 1, 1>()) );
    CALL_SUBTEST_2( array(Matrix2f()) );
    CALL_SUBTEST_3( array(Matrix4d()) );
    CALL_SUBTEST_4( array(MatrixXcf(3, 3)) );
    CALL_SUBTEST_5( array(MatrixXf(8, 12)) );
    CALL_SUBTEST_6( array(MatrixXi(8, 12)) );
  }
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_1( comparisons(Matrix<float, 1, 1>()) );
    CALL_SUBTEST_2( comparisons(Matrix2f()) );
    CALL_SUBTEST_3( comparisons(Matrix4d()) );
    CALL_SUBTEST_5( comparisons(MatrixXf(8, 12)) );
    CALL_SUBTEST_6( comparisons(MatrixXi(8, 12)) );
  }
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_1( lpNorm(Matrix<float, 1, 1>()) );
    CALL_SUBTEST_2( lpNorm(Vector2f()) );
    CALL_SUBTEST_3( lpNorm(Vector3d()) );
    CALL_SUBTEST_4( lpNorm(Vector4f()) );
    CALL_SUBTEST_5( lpNorm(VectorXf(16)) );
    CALL_SUBTEST_7( lpNorm(VectorXcd(10)) );
  }
}

void test_mapstaticmethods()
{
  ptr = internal::aligned_new<float>(1000);
  for(int i = 0; i < 1000; i++) ptr[i] = float(i);

  const_ptr = ptr;

  CALL_SUBTEST_1(( mapstaticmethods(Matrix<float, 1, 1>()) ));
  CALL_SUBTEST_1(( mapstaticmethods(Vector2f()) ));
  CALL_SUBTEST_2(( mapstaticmethods(Vector3f()) ));
  CALL_SUBTEST_2(( mapstaticmethods(Matrix2f()) ));
  CALL_SUBTEST_3(( mapstaticmethods(Matrix4f()) ));
  CALL_SUBTEST_3(( mapstaticmethods(Array4f()) ));
  CALL_SUBTEST_4(( mapstaticmethods(Array3f()) ));
  CALL_SUBTEST_4(( mapstaticmethods(Array33f()) ));
  CALL_SUBTEST_5(( mapstaticmethods(Array44f()) ));
  CALL_SUBTEST_5(( mapstaticmethods(VectorXf(1)) ));
  CALL_SUBTEST_5(( mapstaticmethods(VectorXf(8)) ));
  CALL_SUBTEST_6(( mapstaticmethods(MatrixXf(1,1)) ));
  CALL_SUBTEST_6(( mapstaticmethods(MatrixXf(5,7)) ));
  CALL_SUBTEST_7(( mapstaticmethods(ArrayXf(1)) ));
  CALL_SUBTEST_7(( mapstaticmethods(ArrayXf(5)) ));
  CALL_SUBTEST_8(( mapstaticmethods(ArrayXXf(1,1)) ));
  CALL_SUBTEST_8(( mapstaticmethods(ArrayXXf(8,6)) ));

  internal::aligned_delete(ptr, 1000);
}

void test_determinant()
{
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_1( determinant(Matrix<float, 1, 1>()) );
    CALL_SUBTEST_2( determinant(Matrix<double, 2, 2>()) );
    CALL_SUBTEST_3( determinant(Matrix<double, 3, 3>()) );
    CALL_SUBTEST_4( determinant(Matrix<double, 4, 4>()) );
    CALL_SUBTEST_5( determinant(Matrix<std::complex<double>, 10, 10>()) );
    CALL_SUBTEST_6( determinant(MatrixXd(20, 20)) );
  }
  CALL_SUBTEST_6( determinant(MatrixXd(200, 200)) );
}

void test_matrix_power()
{
  CALL_SUBTEST_2(test2dRotation<double>(1e-13));
  CALL_SUBTEST_1(test2dRotation<float>(2e-5));  // was 1e-5, relaxed for clang 2.8 / linux / x86-64
  CALL_SUBTEST_9(test2dRotation<long double>(1e-13)); 
  CALL_SUBTEST_2(test2dHyperbolicRotation<double>(1e-14));
  CALL_SUBTEST_1(test2dHyperbolicRotation<float>(1e-5));
  CALL_SUBTEST_9(test2dHyperbolicRotation<long double>(1e-14));

  CALL_SUBTEST_10(test3dRotation<double>(1e-13));
  CALL_SUBTEST_11(test3dRotation<float>(1e-5));
  CALL_SUBTEST_12(test3dRotation<long double>(1e-13));

  CALL_SUBTEST_2(testGeneral(Matrix2d(),         1e-13));
  CALL_SUBTEST_7(testGeneral(Matrix3dRowMajor(), 1e-13));
  CALL_SUBTEST_3(testGeneral(Matrix4cd(),        1e-13));
  CALL_SUBTEST_4(testGeneral(MatrixXd(8,8),      2e-12));
  CALL_SUBTEST_1(testGeneral(Matrix2f(),         1e-4));
  CALL_SUBTEST_5(testGeneral(Matrix3cf(),        1e-4));
  CALL_SUBTEST_8(testGeneral(Matrix4f(),         1e-4));
  CALL_SUBTEST_6(testGeneral(MatrixXf(2,2),      1e-3)); // see bug 614
  CALL_SUBTEST_9(testGeneral(MatrixXe(7,7),      1e-13));
  CALL_SUBTEST_10(testGeneral(Matrix3d(),        1e-13));
  CALL_SUBTEST_11(testGeneral(Matrix3f(),        1e-4));
  CALL_SUBTEST_12(testGeneral(Matrix3e(),        1e-13));

  CALL_SUBTEST_2(testSingular(Matrix2d(),         1e-13));
  CALL_SUBTEST_7(testSingular(Matrix3dRowMajor(), 1e-13));
  CALL_SUBTEST_3(testSingular(Matrix4cd(),        1e-13));
  CALL_SUBTEST_4(testSingular(MatrixXd(8,8),      2e-12));
  CALL_SUBTEST_1(testSingular(Matrix2f(),         1e-4));
  CALL_SUBTEST_5(testSingular(Matrix3cf(),        1e-4));
  CALL_SUBTEST_8(testSingular(Matrix4f(),         1e-4));
  CALL_SUBTEST_6(testSingular(MatrixXf(2,2),      1e-3));
  CALL_SUBTEST_9(testSingular(MatrixXe(7,7),      1e-13));
  CALL_SUBTEST_10(testSingular(Matrix3d(),        1e-13));
  CALL_SUBTEST_11(testSingular(Matrix3f(),        1e-4));
  CALL_SUBTEST_12(testSingular(Matrix3e(),        1e-13));

  CALL_SUBTEST_2(testLogThenExp(Matrix2d(),         1e-13));
  CALL_SUBTEST_7(testLogThenExp(Matrix3dRowMajor(), 1e-13));
  CALL_SUBTEST_3(testLogThenExp(Matrix4cd(),        1e-13));
  CALL_SUBTEST_4(testLogThenExp(MatrixXd(8,8),      2e-12));
  CALL_SUBTEST_1(testLogThenExp(Matrix2f(),         1e-4));
  CALL_SUBTEST_5(testLogThenExp(Matrix3cf(),        1e-4));
  CALL_SUBTEST_8(testLogThenExp(Matrix4f(),         1e-4));
  CALL_SUBTEST_6(testLogThenExp(MatrixXf(2,2),      1e-3));
  CALL_SUBTEST_9(testLogThenExp(MatrixXe(7,7),      1e-13));
  CALL_SUBTEST_10(testLogThenExp(Matrix3d(),        1e-13));
  CALL_SUBTEST_11(testLogThenExp(Matrix3f(),        1e-4));
  CALL_SUBTEST_12(testLogThenExp(Matrix3e(),        1e-13));
}

void test_mapped_matrix()
{
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_1( map_class_vector(Matrix<float, 1, 1>()) );
    CALL_SUBTEST_1( check_const_correctness(Matrix<float, 1, 1>()) );
    CALL_SUBTEST_2( map_class_vector(Vector4d()) );
    CALL_SUBTEST_2( map_class_vector(VectorXd(13)) );
    CALL_SUBTEST_2( check_const_correctness(Matrix4d()) );
    CALL_SUBTEST_3( map_class_vector(RowVector4f()) );
    CALL_SUBTEST_4( map_class_vector(VectorXcf(8)) );
    CALL_SUBTEST_5( map_class_vector(VectorXi(12)) );
    CALL_SUBTEST_5( check_const_correctness(VectorXi(12)) );

    CALL_SUBTEST_1( map_class_matrix(Matrix<float, 1, 1>()) );
    CALL_SUBTEST_2( map_class_matrix(Matrix4d()) );
    CALL_SUBTEST_11( map_class_matrix(Matrix<float,3,5>()) );
    CALL_SUBTEST_4( map_class_matrix(MatrixXcf(internal::random<int>(1,10),internal::random<int>(1,10))) );
    CALL_SUBTEST_5( map_class_matrix(MatrixXi(internal::random<int>(1,10),internal::random<int>(1,10))) );

    CALL_SUBTEST_6( map_static_methods(Matrix<double, 1, 1>()) );
    CALL_SUBTEST_7( map_static_methods(Vector3f()) );
    CALL_SUBTEST_8( map_static_methods(RowVector3d()) );
    CALL_SUBTEST_9( map_static_methods(VectorXcd(8)) );
    CALL_SUBTEST_10( map_static_methods(VectorXf(12)) );
    
    CALL_SUBTEST_11( map_not_aligned_on_scalar<double>() );
  }
}

void test_adjoint()
{
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_1( adjoint(Matrix<float, 1, 1>()) );
    CALL_SUBTEST_2( adjoint(Matrix3d()) );
    CALL_SUBTEST_3( adjoint(Matrix4f()) );
    CALL_SUBTEST_4( adjoint(MatrixXcf(internal::random<int>(1,50), internal::random<int>(1,50))) );
    CALL_SUBTEST_5( adjoint(MatrixXi(internal::random<int>(1,50), internal::random<int>(1,50))) );
    CALL_SUBTEST_6( adjoint(MatrixXf(internal::random<int>(1,50), internal::random<int>(1,50))) );
  }
  // test a large matrix only once
  CALL_SUBTEST_7( adjoint(Matrix<float, 100, 100>()) );

#ifdef EIGEN_TEST_PART_4
  {
    MatrixXcf a(10,10), b(10,10);
    VERIFY_RAISES_ASSERT(a = a.transpose());
    VERIFY_RAISES_ASSERT(a = a.transpose() + b);
    VERIFY_RAISES_ASSERT(a = b + a.transpose());
    VERIFY_RAISES_ASSERT(a = a.conjugate().transpose());
    VERIFY_RAISES_ASSERT(a = a.adjoint());
    VERIFY_RAISES_ASSERT(a = a.adjoint() + b);
    VERIFY_RAISES_ASSERT(a = b + a.adjoint());

    // no assertion should be triggered for these cases:
    a.transpose() = a.transpose();
    a.transpose() += a.transpose();
    a.transpose() += a.transpose() + b;
    a.transpose() = a.adjoint();
    a.transpose() += a.adjoint();
    a.transpose() += a.adjoint() + b;
  }
#endif
}

void test_integer_types()
{
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_1( integer_type_tests(Matrix<unsigned int, 1, 1>()) );
    CALL_SUBTEST_1( integer_type_tests(Matrix<unsigned long, 3, 4>()) );

    CALL_SUBTEST_2( integer_type_tests(Matrix<long, 2, 2>()) );
    CALL_SUBTEST_2( signed_integer_type_tests(Matrix<long, 2, 2>()) );

    CALL_SUBTEST_3( integer_type_tests(Matrix<char, 2, Dynamic>(2, 10)) );
    CALL_SUBTEST_3( signed_integer_type_tests(Matrix<signed char, 2, Dynamic>(2, 10)) );

    CALL_SUBTEST_4( integer_type_tests(Matrix<unsigned char, 3, 3>()) );
    CALL_SUBTEST_4( integer_type_tests(Matrix<unsigned char, Dynamic, Dynamic>(20, 20)) );

    CALL_SUBTEST_5( integer_type_tests(Matrix<short, Dynamic, 4>(7, 4)) );
    CALL_SUBTEST_5( signed_integer_type_tests(Matrix<short, Dynamic, 4>(7, 4)) );

    CALL_SUBTEST_6( integer_type_tests(Matrix<unsigned short, 4, 4>()) );

    CALL_SUBTEST_7( integer_type_tests(Matrix<long long, 11, 13>()) );
    CALL_SUBTEST_7( signed_integer_type_tests(Matrix<long long, 11, 13>()) );

    CALL_SUBTEST_8( integer_type_tests(Matrix<unsigned long long, Dynamic, 5>(1, 5)) );
  }
}

void test_eigensolver_selfadjoint()
{
  int s = 0;
  for(int i = 0; i < g_repeat; i++) {
    // very important to test 3x3 and 2x2 matrices since we provide special paths for them
    CALL_SUBTEST_1( selfadjointeigensolver(Matrix2f()) );
    CALL_SUBTEST_1( selfadjointeigensolver(Matrix2d()) );
    CALL_SUBTEST_1( selfadjointeigensolver(Matrix3f()) );
    CALL_SUBTEST_1( selfadjointeigensolver(Matrix3d()) );
    CALL_SUBTEST_2( selfadjointeigensolver(Matrix4d()) );
    s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE/4);
    CALL_SUBTEST_3( selfadjointeigensolver(MatrixXf(s,s)) );
    s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE/4);
    CALL_SUBTEST_4( selfadjointeigensolver(MatrixXd(s,s)) );
    s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE/4);
    CALL_SUBTEST_5( selfadjointeigensolver(MatrixXcd(s,s)) );

    s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE/4);
    CALL_SUBTEST_9( selfadjointeigensolver(Matrix<std::complex<double>,Dynamic,Dynamic,RowMajor>(s,s)) );

    // some trivial but implementation-wise tricky cases
    CALL_SUBTEST_4( selfadjointeigensolver(MatrixXd(1,1)) );
    CALL_SUBTEST_4( selfadjointeigensolver(MatrixXd(2,2)) );
    CALL_SUBTEST_6( selfadjointeigensolver(Matrix<double,1,1>()) );
    CALL_SUBTEST_7( selfadjointeigensolver(Matrix<double,2,2>()) );
  }

  // Test problem size constructors
  s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE/4);
  CALL_SUBTEST_8(SelfAdjointEigenSolver<MatrixXf> tmp1(s));
  CALL_SUBTEST_8(Tridiagonalization<MatrixXf> tmp2(s));

  TEST_SET_BUT_UNUSED_VARIABLE(s)
}

void test_product_trsolve()
{
  for(int i = 0; i < g_repeat ; i++)
  {
    // matrices
    CALL_SUBTEST_1((trsolve<float,Dynamic,Dynamic>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE),internal::random<int>(1,EIGEN_TEST_MAX_SIZE))));
    CALL_SUBTEST_2((trsolve<double,Dynamic,Dynamic>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE),internal::random<int>(1,EIGEN_TEST_MAX_SIZE))));
    CALL_SUBTEST_3((trsolve<std::complex<float>,Dynamic,Dynamic>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2),internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2))));
    CALL_SUBTEST_4((trsolve<std::complex<double>,Dynamic,Dynamic>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2),internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2))));

    // vectors
    CALL_SUBTEST_5((trsolve<float,Dynamic,1>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE))));
    CALL_SUBTEST_6((trsolve<double,Dynamic,1>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE))));
    CALL_SUBTEST_7((trsolve<std::complex<float>,Dynamic,1>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE))));
    CALL_SUBTEST_8((trsolve<std::complex<double>,Dynamic,1>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE))));
    
    // meta-unrollers
    CALL_SUBTEST_9((trsolve<float,4,1>()));
    CALL_SUBTEST_10((trsolve<double,4,1>()));
    CALL_SUBTEST_11((trsolve<std::complex<float>,4,1>()));
    CALL_SUBTEST_12((trsolve<float,1,1>()));
    CALL_SUBTEST_13((trsolve<float,1,2>()));
    CALL_SUBTEST_14((trsolve<float,3,1>()));
    
  }
}

void test_nullary()
{
  CALL_SUBTEST_1( testMatrixType(Matrix2d()) );
  CALL_SUBTEST_2( testMatrixType(MatrixXcf(internal::random<int>(1,300),internal::random<int>(1,300))) );
  CALL_SUBTEST_3( testMatrixType(MatrixXf(internal::random<int>(1,300),internal::random<int>(1,300))) );
  
  for(int i = 0; i < g_repeat; i++) {
    CALL_SUBTEST_4( testVectorType(VectorXd(internal::random<int>(1,300))) );
    CALL_SUBTEST_5( testVectorType(Vector4d()) );  // regression test for bug 232
    CALL_SUBTEST_6( testVectorType(Vector3d()) );
    CALL_SUBTEST_7( testVectorType(VectorXf(internal::random<int>(1,300))) );
    CALL_SUBTEST_8( testVectorType(Vector3f()) );
    CALL_SUBTEST_8( testVectorType(Vector4f()) );
    CALL_SUBTEST_8( testVectorType(Matrix<float,8,1>()) );
    CALL_SUBTEST_8( testVectorType(Matrix<float,1,1>()) );

    CALL_SUBTEST_9( testVectorType(VectorXi(internal::random<int>(1,300))) );
    CALL_SUBTEST_9( testVectorType(Matrix<int,1,1>()) );
  }

#ifdef EIGEN_TEST_PART_6
  // Assignment of a RowVectorXd to a MatrixXd (regression test for bug #79).
  VERIFY( (MatrixXd(RowVectorXd::LinSpaced(3, 0, 1)) - RowVector3d(0, 0.5, 1)).norm() < std::numeric_limits<double>::epsilon() );
#endif
}