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Changed the AnyMatrixBase / ei_special_scalar_op inheritance order as proposed by Gael.
Added conservativeResizeLike as discussed on the mailing list.
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@ -324,16 +324,14 @@ class Matrix
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/** Resizes \c *this to a \a rows x \a cols matrix while leaving old values of *this untouched.
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*
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* This method is intended for dynamic-size matrices, although it is legal to call it on any
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* matrix as long as fixed dimensions are left unchanged. If you only want to change the number
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* This method is intended for dynamic-size matrices. If you only want to change the number
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* of rows and/or of columns, you can use conservativeResize(NoChange_t, int),
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* conservativeResize(int, NoChange_t).
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*
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* The top-left part of the resized matrix will be the same as the overlapping top-left corner
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* of *this. In case values need to be appended to the matrix they will be uninitialized per
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* default and set to zero when init_with_zero is set to true.
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* of *this. In case values need to be appended to the matrix they will be uninitialized.
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*/
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inline void conservativeResize(int rows, int cols, bool init_with_zero = false)
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inline void conservativeResize(int rows, int cols)
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{
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// Note: Here is space for improvement. Basically, for conservativeResize(int,int),
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// neither RowsAtCompileTime or ColsAtCompileTime must be Dynamic. If only one of the
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@ -341,23 +339,23 @@ class Matrix
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// conservativeResize(NoChange_t, int cols). For these methods new static asserts like
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// EIGEN_STATIC_ASSERT_DYNAMIC_ROWS and EIGEN_STATIC_ASSERT_DYNAMIC_COLS would be good.
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EIGEN_STATIC_ASSERT_DYNAMIC_SIZE(Matrix)
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PlainMatrixType tmp = init_with_zero ? PlainMatrixType::Zero(rows, cols) : PlainMatrixType(rows,cols);
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PlainMatrixType tmp(rows, cols);
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const int common_rows = std::min(rows, this->rows());
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const int common_cols = std::min(cols, this->cols());
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tmp.block(0,0,common_rows,common_cols) = this->block(0,0,common_rows,common_cols);
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this->derived().swap(tmp);
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}
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EIGEN_STRONG_INLINE void conservativeResize(int rows, NoChange_t, bool init_with_zero = false)
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EIGEN_STRONG_INLINE void conservativeResize(int rows, NoChange_t)
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{
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// Note: see the comment in conservativeResize(int,int,bool)
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conservativeResize(rows, cols(), init_with_zero);
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// Note: see the comment in conservativeResize(int,int)
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conservativeResize(rows, cols());
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}
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EIGEN_STRONG_INLINE void conservativeResize(NoChange_t, int cols, bool init_with_zero = false)
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EIGEN_STRONG_INLINE void conservativeResize(NoChange_t, int cols)
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{
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// Note: see the comment in conservativeResize(int,int,bool)
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conservativeResize(rows(), cols, init_with_zero);
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// Note: see the comment in conservativeResize(int,int)
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conservativeResize(rows(), cols);
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}
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/** Resizes \c *this to a vector of length \a size while retaining old values of *this.
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@ -366,21 +364,23 @@ class Matrix
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* partially dynamic matrices when the static dimension is anything other
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* than 1. For example it will not work with Matrix<double, 2, Dynamic>.
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*
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* When values are appended, they will be uninitialized per default and set
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* to zero when init_with_zero is set to true.
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* When values are appended, they will be uninitialized.
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*/
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inline void conservativeResize(int size, bool init_with_zero = false)
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inline void conservativeResize(int size)
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{
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Matrix)
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EIGEN_STATIC_ASSERT_DYNAMIC_SIZE(Matrix)
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if (RowsAtCompileTime == 1 || ColsAtCompileTime == 1)
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{
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PlainMatrixType tmp = init_with_zero ? PlainMatrixType::Zero(size) : PlainMatrixType(size);
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const int common_size = std::min<int>(this->size(),size);
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tmp.segment(0,common_size) = this->segment(0,common_size);
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this->derived().swap(tmp);
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}
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PlainMatrixType tmp(size);
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const int common_size = std::min<int>(this->size(),size);
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tmp.segment(0,common_size) = this->segment(0,common_size);
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this->derived().swap(tmp);
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}
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template<typename OtherDerived>
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inline void conservativeResizeLike(const MatrixBase<OtherDerived>& other)
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{
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ei_conservative_resize_like_impl<Matrix, OtherDerived>::run(*this, other);
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}
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/** Copies the value of the expression \a other into \c *this with automatic resizing.
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@ -717,6 +717,31 @@ class Matrix
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friend struct ei_matrix_swap_impl;
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};
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template <typename Derived, typename OtherDerived, bool IsVector = static_cast<bool>(Derived::IsVectorAtCompileTime)>
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struct ei_conservative_resize_like_impl
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{
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static void run(MatrixBase<Derived>& _this, const MatrixBase<OtherDerived>& other)
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{
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MatrixBase<Derived>::PlainMatrixType tmp(other);
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const int common_rows = std::min(tmp.rows(), _this.rows());
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const int common_cols = std::min(tmp.cols(), _this.cols());
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tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
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_this.derived().swap(tmp);
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}
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};
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template <typename Derived, typename OtherDerived>
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struct ei_conservative_resize_like_impl<Derived,OtherDerived,true>
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{
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static void run(MatrixBase<Derived>& _this, const MatrixBase<OtherDerived>& other)
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{
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MatrixBase<Derived>::PlainMatrixType tmp(other);
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const int common_size = std::min<int>(_this.size(),tmp.size());
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tmp.segment(0,common_size) = _this.segment(0,common_size);
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_this.derived().swap(tmp);
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}
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};
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template<typename MatrixType, typename OtherDerived, bool SwapPointers>
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struct ei_matrix_swap_impl
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{
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@ -36,8 +36,6 @@
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* Notice that this class is trivial, it is only used to disambiguate overloaded functions.
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*/
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template<typename Derived> struct AnyMatrixBase
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: public ei_special_scalar_op_base<Derived,typename ei_traits<Derived>::Scalar,
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typename NumTraits<typename ei_traits<Derived>::Scalar>::Real>
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{
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typedef typename ei_plain_matrix_type<Derived>::type PlainMatrixType;
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@ -93,7 +91,8 @@ template<typename Derived> struct AnyMatrixBase
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*/
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template<typename Derived> class MatrixBase
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#ifndef EIGEN_PARSED_BY_DOXYGEN
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: public AnyMatrixBase<Derived>
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: public ei_special_scalar_op_base<Derived,typename ei_traits<Derived>::Scalar,
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typename NumTraits<typename ei_traits<Derived>::Scalar>::Real>
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#endif // not EIGEN_PARSED_BY_DOXYGEN
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{
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public:
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@ -217,7 +217,7 @@ template<unsigned int Flags> struct ei_are_flags_consistent
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* overloads for complex types */
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template<typename Derived,typename Scalar,typename OtherScalar,
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bool EnableIt = !ei_is_same_type<Scalar,OtherScalar>::ret >
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struct ei_special_scalar_op_base
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struct ei_special_scalar_op_base : public AnyMatrixBase<Derived>
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{
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// dummy operator* so that the
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// "using ei_special_scalar_op_base::operator*" compiles
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@ -225,7 +225,7 @@ struct ei_special_scalar_op_base
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};
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template<typename Derived,typename Scalar,typename OtherScalar>
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struct ei_special_scalar_op_base<Derived,Scalar,OtherScalar,true>
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struct ei_special_scalar_op_base<Derived,Scalar,OtherScalar,true> : public AnyMatrixBase<Derived>
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{
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const CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,OtherScalar>, Derived>
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operator*(const OtherScalar& scalar) const
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@ -108,22 +108,36 @@ void run_vector_tests()
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}
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}
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template <typename Scalar, int Storage>
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void run_resize_like_tests()
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{
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typedef Matrix<Scalar, Eigen::Dynamic, 1, Storage> MatrixType;
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MatrixType m;
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m = MatrixType::Random(5);
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m.conservativeResizeLike( MatrixType::Ones(2) );
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std::cout << m << std::endl;
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}
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void test_conservative_resize()
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{
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run_matrix_tests<int, Eigen::RowMajor>();
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run_matrix_tests<int, Eigen::ColMajor>();
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run_matrix_tests<float, Eigen::RowMajor>();
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run_matrix_tests<float, Eigen::ColMajor>();
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run_matrix_tests<double, Eigen::RowMajor>();
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run_matrix_tests<double, Eigen::ColMajor>();
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run_matrix_tests<std::complex<float>, Eigen::RowMajor>();
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run_matrix_tests<std::complex<float>, Eigen::ColMajor>();
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run_matrix_tests<std::complex<double>, Eigen::RowMajor>();
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run_matrix_tests<std::complex<double>, Eigen::ColMajor>();
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run_resize_like_tests<int, Eigen::RowMajor>();
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run_vector_tests<int>();
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run_vector_tests<float>();
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run_vector_tests<double>();
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run_vector_tests<std::complex<float> >();
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run_vector_tests<std::complex<double> >();
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//run_matrix_tests<int, Eigen::RowMajor>();
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//run_matrix_tests<int, Eigen::ColMajor>();
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//run_matrix_tests<float, Eigen::RowMajor>();
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//run_matrix_tests<float, Eigen::ColMajor>();
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//run_matrix_tests<double, Eigen::RowMajor>();
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//run_matrix_tests<double, Eigen::ColMajor>();
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//run_matrix_tests<std::complex<float>, Eigen::RowMajor>();
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//run_matrix_tests<std::complex<float>, Eigen::ColMajor>();
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//run_matrix_tests<std::complex<double>, Eigen::RowMajor>();
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//run_matrix_tests<std::complex<double>, Eigen::ColMajor>();
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//run_vector_tests<int>();
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//run_vector_tests<float>();
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//run_vector_tests<double>();
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//run_vector_tests<std::complex<float> >();
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//run_vector_tests<std::complex<double> >();
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}
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