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https://gitlab.com/libeigen/eigen.git
synced 2025-04-22 01:29:35 +08:00
bug #910: add a StandardCompressedFormat option to Ref<SparseMatrix> to enforce standard compressed storage format.
If the input is not compressed, then this trigger a copy for a const Ref, and a runtime assert for non-const Ref.
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@ -725,6 +725,9 @@ class SparseMatrix
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}
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}
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else if(this!=&other)
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else if(this!=&other)
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{
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{
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#ifdef EIGEN_SPARSE_CREATE_TEMPORARY_PLUGIN
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EIGEN_SPARSE_CREATE_TEMPORARY_PLUGIN
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#endif
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initAssignment(other);
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initAssignment(other);
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if(other.isCompressed())
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if(other.isCompressed())
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{
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{
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@ -12,6 +12,10 @@
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namespace Eigen {
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namespace Eigen {
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enum {
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StandardCompressedFormat = 2
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};
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namespace internal {
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namespace internal {
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template<typename Derived> class SparseRefBase;
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template<typename Derived> class SparseRefBase;
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@ -72,6 +76,19 @@ protected:
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} // namespace internal
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} // namespace internal
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/**
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* \ingroup Sparse_Module
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*
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* \brief A sparse matrix expression referencing an existing sparse expression
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*
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* \tparam PlainObjectType the equivalent sparse matrix type of the referenced data
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* \tparam Options specifies whether the a standard compressed format is required \c Options is \c #StandardCompressedFormat, or \c 0.
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* The default is \c 0.
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* \tparam StrideType Only used for dense Ref
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*
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* \sa class Ref
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*/
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template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
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template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
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class Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType >
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class Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType >
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: public internal::SparseRefBase<Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType > >
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: public internal::SparseRefBase<Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType > >
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@ -93,6 +110,7 @@ class Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType >
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inline Ref(SparseMatrix<MatScalar,OtherOptions,MatIndex>& expr)
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inline Ref(SparseMatrix<MatScalar,OtherOptions,MatIndex>& expr)
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{
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{
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EIGEN_STATIC_ASSERT(bool(Traits::template match<SparseMatrix<MatScalar,OtherOptions,MatIndex> >::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH);
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EIGEN_STATIC_ASSERT(bool(Traits::template match<SparseMatrix<MatScalar,OtherOptions,MatIndex> >::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH);
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eigen_assert( ((Options & int(StandardCompressedFormat))==0) || (expr.isCompressed()) );
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Base::construct(expr.derived());
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Base::construct(expr.derived());
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}
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}
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@ -100,6 +118,7 @@ class Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType >
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inline Ref(MappedSparseMatrix<MatScalar,OtherOptions,MatIndex>& expr)
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inline Ref(MappedSparseMatrix<MatScalar,OtherOptions,MatIndex>& expr)
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{
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{
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EIGEN_STATIC_ASSERT(bool(Traits::template match<SparseMatrix<MatScalar,OtherOptions,MatIndex> >::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH);
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EIGEN_STATIC_ASSERT(bool(Traits::template match<SparseMatrix<MatScalar,OtherOptions,MatIndex> >::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH);
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eigen_assert( ((Options & int(StandardCompressedFormat))==0) || (expr.isCompressed()) );
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Base::construct(expr.derived());
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Base::construct(expr.derived());
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}
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}
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@ -112,6 +131,7 @@ class Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType >
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{
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{
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EIGEN_STATIC_ASSERT(bool(internal::is_lvalue<Derived>::value), THIS_EXPRESSION_IS_NOT_A_LVALUE__IT_IS_READ_ONLY);
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EIGEN_STATIC_ASSERT(bool(internal::is_lvalue<Derived>::value), THIS_EXPRESSION_IS_NOT_A_LVALUE__IT_IS_READ_ONLY);
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EIGEN_STATIC_ASSERT(bool(Traits::template match<Derived>::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH);
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EIGEN_STATIC_ASSERT(bool(Traits::template match<Derived>::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH);
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eigen_assert( ((Options & int(StandardCompressedFormat))==0) || (expr.isCompressed()) );
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Base::construct(expr.const_cast_derived());
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Base::construct(expr.const_cast_derived());
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}
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}
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};
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};
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@ -147,9 +167,17 @@ class Ref<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType
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template<typename Expression>
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template<typename Expression>
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void construct(const Expression& expr,internal::true_type)
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void construct(const Expression& expr,internal::true_type)
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{
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if((Options & int(StandardCompressedFormat)) && (!expr.isCompressed()))
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{
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m_object = expr;
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Base::construct(m_object);
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}
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else
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{
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{
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Base::construct(expr);
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Base::construct(expr);
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}
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}
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}
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template<typename Expression>
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template<typename Expression>
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void construct(const Expression& expr, internal::false_type)
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void construct(const Expression& expr, internal::false_type)
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@ -47,12 +47,20 @@ EIGEN_DONT_INLINE void call_ref_1(Ref<SparseMatrix<float> > a, const B &b) { VER
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template<typename B>
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template<typename B>
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EIGEN_DONT_INLINE void call_ref_2(const Ref<const SparseMatrix<float> >& a, const B &b) { VERIFY_IS_EQUAL(a.toDense(),b.toDense()); }
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EIGEN_DONT_INLINE void call_ref_2(const Ref<const SparseMatrix<float> >& a, const B &b) { VERIFY_IS_EQUAL(a.toDense(),b.toDense()); }
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template<typename B>
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EIGEN_DONT_INLINE void call_ref_3(const Ref<const SparseMatrix<float>, StandardCompressedFormat>& a, const B &b) {
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VERIFY(a.isCompressed());
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VERIFY_IS_EQUAL(a.toDense(),b.toDense());
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}
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void call_ref()
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void call_ref()
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{
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{
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// SparseVector<std::complex<float> > ca = VectorXcf::Random(10).sparseView();
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// SparseVector<std::complex<float> > ca = VectorXcf::Random(10).sparseView();
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// SparseVector<float> a = VectorXf::Random(10).sparseView();
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// SparseVector<float> a = VectorXf::Random(10).sparseView();
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SparseMatrix<float> A = MatrixXf::Random(10,10).sparseView(0.5,1);
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SparseMatrix<float> A = MatrixXf::Random(10,10).sparseView(0.5,1);
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SparseMatrix<float,RowMajor> B = MatrixXf::Random(10,10).sparseView(0.5,1);
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SparseMatrix<float,RowMajor> B = MatrixXf::Random(10,10).sparseView(0.5,1);
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SparseMatrix<float> C = MatrixXf::Random(10,10).sparseView(0.5,1);
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C.reserve(VectorXi::Constant(C.outerSize(), 2));
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const SparseMatrix<float>& Ac(A);
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const SparseMatrix<float>& Ac(A);
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Block<SparseMatrix<float> > Ab(A,0,1, 3,3);
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Block<SparseMatrix<float> > Ab(A,0,1, 3,3);
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const Block<SparseMatrix<float> > Abc(A,0,1,3,3);
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const Block<SparseMatrix<float> > Abc(A,0,1,3,3);
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@ -61,12 +69,22 @@ void call_ref()
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VERIFY_EVALUATION_COUNT( call_ref_1(A, A), 0);
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VERIFY_EVALUATION_COUNT( call_ref_1(A, A), 0);
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// VERIFY_EVALUATION_COUNT( call_ref_1(Ac, Ac), 0); // does not compile on purpose
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// VERIFY_EVALUATION_COUNT( call_ref_1(Ac, Ac), 0); // does not compile on purpose
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VERIFY_EVALUATION_COUNT( call_ref_2(A, A), 0);
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VERIFY_EVALUATION_COUNT( call_ref_2(A, A), 0);
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VERIFY_EVALUATION_COUNT( call_ref_3(A, A), 0);
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VERIFY_EVALUATION_COUNT( call_ref_2(A.transpose(), A.transpose()), 1);
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VERIFY_EVALUATION_COUNT( call_ref_2(A.transpose(), A.transpose()), 1);
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VERIFY_EVALUATION_COUNT( call_ref_3(A.transpose(), A.transpose()), 1);
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VERIFY_EVALUATION_COUNT( call_ref_2(Ac,Ac), 0);
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VERIFY_EVALUATION_COUNT( call_ref_2(Ac,Ac), 0);
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VERIFY_EVALUATION_COUNT( call_ref_3(Ac,Ac), 0);
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VERIFY_EVALUATION_COUNT( call_ref_2(A+A,2*Ac), 1);
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VERIFY_EVALUATION_COUNT( call_ref_2(A+A,2*Ac), 1);
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VERIFY_EVALUATION_COUNT( call_ref_3(A+A,2*Ac), 1);
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VERIFY_EVALUATION_COUNT( call_ref_2(B, B), 1);
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VERIFY_EVALUATION_COUNT( call_ref_2(B, B), 1);
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VERIFY_EVALUATION_COUNT( call_ref_3(B, B), 1);
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VERIFY_EVALUATION_COUNT( call_ref_2(B.transpose(), B.transpose()), 0);
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VERIFY_EVALUATION_COUNT( call_ref_2(B.transpose(), B.transpose()), 0);
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VERIFY_EVALUATION_COUNT( call_ref_3(B.transpose(), B.transpose()), 0);
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VERIFY_EVALUATION_COUNT( call_ref_2(A*A, A*A), 1);
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VERIFY_EVALUATION_COUNT( call_ref_2(A*A, A*A), 1);
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VERIFY_EVALUATION_COUNT( call_ref_3(A*A, A*A), 1);
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VERIFY(!C.isCompressed());
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VERIFY_EVALUATION_COUNT( call_ref_3(C, C), 1);
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Ref<SparseMatrix<float> > Ar(A);
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Ref<SparseMatrix<float> > Ar(A);
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VERIFY_IS_APPROX(Ar+Ar, A+A);
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VERIFY_IS_APPROX(Ar+Ar, A+A);
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