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Implement binaryop and transpose evaluators for sparse matrices
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@@ -2,7 +2,7 @@
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// for linear algebra.
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//
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// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
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// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
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// Copyright (C) 2009-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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@@ -108,6 +108,17 @@ struct TransposeImpl_base<MatrixType, false>
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} // end namespace internal
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#ifdef EIGEN_TEST_EVALUATORS
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// Generic API dispatcher
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template<typename XprType, typename StorageKind>
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class TransposeImpl
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: public internal::generic_xpr_base<Transpose<XprType> >::type
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{
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public:
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typedef typename internal::generic_xpr_base<Transpose<XprType> >::type Base;
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};
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#endif
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template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
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: public internal::TransposeImpl_base<MatrixType>::type
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{
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