don't index Eigen

1 files changed, 0 insertions, 253 deletions

diff --git a/eigen/Eigen/src/SparseCore/SparseView.h b/eigen/Eigen/src/SparseCore/SparseView.h
deleted file mode 100644
index 7c4aea7..0000000
--- a/eigen/Eigen/src/SparseCore/SparseView.h
+++ /dev/null
@@ -1,253 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2011-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
-// Copyright (C) 2010 Daniel Lowengrub <lowdanie@gmail.com>
-//
-// This Source Code Form is subject to the terms of the Mozilla
-// Public License v. 2.0. If a copy of the MPL was not distributed
-// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
-
-#ifndef EIGEN_SPARSEVIEW_H
-#define EIGEN_SPARSEVIEW_H
-
-namespace Eigen { 
-
-namespace internal {
-
-template<typename MatrixType>
-struct traits<SparseView<MatrixType> > : traits<MatrixType>
-{
-  typedef typename MatrixType::StorageIndex StorageIndex;
-  typedef Sparse StorageKind;
-  enum {
-    Flags = int(traits<MatrixType>::Flags) & (RowMajorBit)
-  };
-};
-
-} // end namespace internal
-
-/** \ingroup SparseCore_Module
-  * \class SparseView
-  *
-  * \brief Expression of a dense or sparse matrix with zero or too small values removed
-  *
-  * \tparam MatrixType the type of the object of which we are removing the small entries
-  *
-  * This class represents an expression of a given dense or sparse matrix with
-  * entries smaller than \c reference * \c epsilon are removed.
-  * It is the return type of MatrixBase::sparseView() and SparseMatrixBase::pruned()
-  * and most of the time this is the only way it is used.
-  *
-  * \sa MatrixBase::sparseView(), SparseMatrixBase::pruned()
-  */
-template<typename MatrixType>
-class SparseView : public SparseMatrixBase<SparseView<MatrixType> >
-{
-  typedef typename MatrixType::Nested MatrixTypeNested;
-  typedef typename internal::remove_all<MatrixTypeNested>::type _MatrixTypeNested;
-  typedef SparseMatrixBase<SparseView > Base;
-public:
-  EIGEN_SPARSE_PUBLIC_INTERFACE(SparseView)
-  typedef typename internal::remove_all<MatrixType>::type NestedExpression;
-
-  explicit SparseView(const MatrixType& mat, const Scalar& reference = Scalar(0),
-                      const RealScalar &epsilon = NumTraits<Scalar>::dummy_precision())
-    : m_matrix(mat), m_reference(reference), m_epsilon(epsilon) {}
-
-  inline Index rows() const { return m_matrix.rows(); }
-  inline Index cols() const { return m_matrix.cols(); }
-
-  inline Index innerSize() const { return m_matrix.innerSize(); }
-  inline Index outerSize() const { return m_matrix.outerSize(); }
-  
-  /** \returns the nested expression */
-  const typename internal::remove_all<MatrixTypeNested>::type&
-  nestedExpression() const { return m_matrix; }
-  
-  Scalar reference() const { return m_reference; }
-  RealScalar epsilon() const { return m_epsilon; }
-  
-protected:
-  MatrixTypeNested m_matrix;
-  Scalar m_reference;
-  RealScalar m_epsilon;
-};
-
-namespace internal {
-
-// TODO find a way to unify the two following variants
-// This is tricky because implementing an inner iterator on top of an IndexBased evaluator is
-// not easy because the evaluators do not expose the sizes of the underlying expression.
-  
-template<typename ArgType>
-struct unary_evaluator<SparseView<ArgType>, IteratorBased>
-  : public evaluator_base<SparseView<ArgType> >
-{
-    typedef typename evaluator<ArgType>::InnerIterator EvalIterator;
-  public:
-    typedef SparseView<ArgType> XprType;
-    
-    class InnerIterator : public EvalIterator
-    {
-        typedef typename XprType::Scalar Scalar;
-      public:
-
-        EIGEN_STRONG_INLINE InnerIterator(const unary_evaluator& sve, Index outer)
-          : EvalIterator(sve.m_argImpl,outer), m_view(sve.m_view)
-        {
-          incrementToNonZero();
-        }
-
-        EIGEN_STRONG_INLINE InnerIterator& operator++()
-        {
-          EvalIterator::operator++();
-          incrementToNonZero();
-          return *this;
-        }
-
-        using EvalIterator::value;
-
-      protected:
-        const XprType &m_view;
-
-      private:
-        void incrementToNonZero()
-        {
-          while((bool(*this)) && internal::isMuchSmallerThan(value(), m_view.reference(), m_view.epsilon()))
-          {
-            EvalIterator::operator++();
-          }
-        }
-    };
-    
-    enum {
-      CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
-      Flags = XprType::Flags
-    };
-    
-    explicit unary_evaluator(const XprType& xpr) : m_argImpl(xpr.nestedExpression()), m_view(xpr) {}
-
-  protected:
-    evaluator<ArgType> m_argImpl;
-    const XprType &m_view;
-};
-
-template<typename ArgType>
-struct unary_evaluator<SparseView<ArgType>, IndexBased>
-  : public evaluator_base<SparseView<ArgType> >
-{
-  public:
-    typedef SparseView<ArgType> XprType;
-  protected:
-    enum { IsRowMajor = (XprType::Flags&RowMajorBit)==RowMajorBit };
-    typedef typename XprType::Scalar Scalar;
-    typedef typename XprType::StorageIndex StorageIndex;
-  public:
-    
-    class InnerIterator
-    {
-      public:
-
-        EIGEN_STRONG_INLINE InnerIterator(const unary_evaluator& sve, Index outer)
-          : m_sve(sve), m_inner(0), m_outer(outer), m_end(sve.m_view.innerSize())
-        {
-          incrementToNonZero();
-        }
-
-        EIGEN_STRONG_INLINE InnerIterator& operator++()
-        {
-          m_inner++;
-          incrementToNonZero();
-          return *this;
-        }
-
-        EIGEN_STRONG_INLINE Scalar value() const
-        {
-          return (IsRowMajor) ? m_sve.m_argImpl.coeff(m_outer, m_inner)
-                              : m_sve.m_argImpl.coeff(m_inner, m_outer);
-        }
-
-        EIGEN_STRONG_INLINE StorageIndex index() const { return m_inner; }
-        inline Index row() const { return IsRowMajor ? m_outer : index(); }
-        inline Index col() const { return IsRowMajor ? index() : m_outer; }
-
-        EIGEN_STRONG_INLINE operator bool() const { return m_inner < m_end && m_inner>=0; }
-
-      protected:
-        const unary_evaluator &m_sve;
-        Index m_inner;
-        const Index m_outer;
-        const Index m_end;
-
-      private:
-        void incrementToNonZero()
-        {
-          while((bool(*this)) && internal::isMuchSmallerThan(value(), m_sve.m_view.reference(), m_sve.m_view.epsilon()))
-          {
-            m_inner++;
-          }
-        }
-    };
-    
-    enum {
-      CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
-      Flags = XprType::Flags
-    };
-    
-    explicit unary_evaluator(const XprType& xpr) : m_argImpl(xpr.nestedExpression()), m_view(xpr) {}
-
-  protected:
-    evaluator<ArgType> m_argImpl;
-    const XprType &m_view;
-};
-
-} // end namespace internal
-
-/** \ingroup SparseCore_Module
-  *
-  * \returns a sparse expression of the dense expression \c *this with values smaller than
-  * \a reference * \a epsilon removed.
-  *
-  * This method is typically used when prototyping to convert a quickly assembled dense Matrix \c D to a SparseMatrix \c S:
-  * \code
-  * MatrixXd D(n,m);
-  * SparseMatrix<double> S;
-  * S = D.sparseView();             // suppress numerical zeros (exact)
-  * S = D.sparseView(reference);
-  * S = D.sparseView(reference,epsilon);
-  * \endcode
-  * where \a reference is a meaningful non zero reference value,
-  * and \a epsilon is a tolerance factor defaulting to NumTraits<Scalar>::dummy_precision().
-  *
-  * \sa SparseMatrixBase::pruned(), class SparseView */
-template<typename Derived>
-const SparseView<Derived> MatrixBase<Derived>::sparseView(const Scalar& reference,
-                                                          const typename NumTraits<Scalar>::Real& epsilon) const
-{
-  return SparseView<Derived>(derived(), reference, epsilon);
-}
-
-/** \returns an expression of \c *this with values smaller than
-  * \a reference * \a epsilon removed.
-  *
-  * This method is typically used in conjunction with the product of two sparse matrices
-  * to automatically prune the smallest values as follows:
-  * \code
-  * C = (A*B).pruned();             // suppress numerical zeros (exact)
-  * C = (A*B).pruned(ref);
-  * C = (A*B).pruned(ref,epsilon);
-  * \endcode
-  * where \c ref is a meaningful non zero reference value.
-  * */
-template<typename Derived>
-const SparseView<Derived>
-SparseMatrixBase<Derived>::pruned(const Scalar& reference,
-                                  const RealScalar& epsilon) const
-{
-  return SparseView<Derived>(derived(), reference, epsilon);
-}
-
-} // end namespace Eigen
-
-#endif