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/* { dg-do compile } */
template < typename > class basic_stringstream;
struct basic_string {
basic_string();
};
struct ios_base {
virtual ~ios_base();
};
class ostream:ios_base {};
class istream:virtual ios_base {};
template < typename > struct basic_iostream:public istream, ostream {
~basic_iostream () {}
};
extern template class basic_iostream < char >;
template < typename > struct basic_stringstream:public basic_iostream < char > {
basic_string _M_stringbuf;
~basic_stringstream () {}
};
extern template class basic_stringstream < char >;
template < typename > struct AnyMatrixBase;
template < typename, int _Rows, int _Cols, int = _Rows, int = _Cols > class Matrix;
template < typename > class CwiseNullaryOp;
template < typename Derived > struct MatrixBase:public AnyMatrixBase < Derived > {
typedef CwiseNullaryOp < Derived > ConstantReturnType;
ConstantReturnType Constant ();
template < typename > Derived cast ();
static CwiseNullaryOp < Derived > Random (int);
};
template < typename Derived > struct AnyMatrixBase {
Derived derived () {}
Derived & derived () const {}
};
template < typename, int > struct ei_matrix_storage {};
template < typename _Scalar, int, int, int _MaxRows, int _MaxCols > struct Matrix:MatrixBase < Matrix < _Scalar, _MaxRows, _MaxCols > > {
typedef MatrixBase < Matrix > Base;
ei_matrix_storage < int, _MaxCols > m_storage;
Matrix operator= (const Matrix other) {
_resize_to_match (other);
lazyAssign (other.derived ());
}
template < typename OtherDerived > Matrix lazyAssign (MatrixBase < OtherDerived > other) {
_resize_to_match (other);
return Base (other.derived ());
}
Matrix ();
template < typename OtherDerived > Matrix (const MatrixBase < OtherDerived > &other) {
*this = other;
}
template < typename OtherDerived > void _resize_to_match (const MatrixBase < OtherDerived > &) {
throw 1;
}
};
template < typename MatrixType > class CwiseNullaryOp:
public MatrixBase < CwiseNullaryOp < MatrixType > > {};
int f()
{
bool align_cols;
if (align_cols) {
basic_stringstream<char> sstr;
f();
}
}
template < typename > struct AutoDiffScalar;
template < typename Functor > struct AutoDiffJacobian:Functor {
AutoDiffJacobian (Functor);
typedef typename Functor::InputType InputType;
typedef typename Functor::ValueType ValueType;
typedef Matrix < int, Functor::InputsAtCompileTime, 1 > DerivativeType;
typedef AutoDiffScalar < DerivativeType > ActiveScalar;
typedef Matrix < ActiveScalar, Functor::InputsAtCompileTime, 1 > ActiveInput;
void operator () (InputType x, ValueType *) {
ActiveInput ax = x.template cast < ActiveScalar > ();
}
};
template < int NX, int NY > struct TestFunc1 {
enum {
InputsAtCompileTime = NX
};
typedef Matrix < float, NX, 1 > InputType;
typedef Matrix < float, NY, 1 > ValueType;
typedef Matrix < float, NY, NX > JacobianType;
int inputs ();
};
template < typename Func > void forward_jacobian (Func f) {
typename Func::InputType x = Func::InputType::Random (f.inputs ());
typename Func::ValueType y;
typename Func::JacobianType jref = jref.Constant ();
AutoDiffJacobian < Func > autoj (f);
autoj (x, &y);
}
void test_autodiff_scalar ()
{
forward_jacobian (TestFunc1 < 2, 2 > ());
forward_jacobian (TestFunc1 < 3, 2 > ());
}
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