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Fixed setLinSpaced for size==1.
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@ -241,6 +241,8 @@ DenseBase<Derived>::Constant(const Scalar& value)
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* assumed to be a(0), a(1), ..., a(size). This assumption allows for better vectorization
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* and yields faster code than the random access version.
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*
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* When size is set to 1, a vector of length 1 containing 'high' is returned.
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*
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* \only_for_vectors
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*
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* Example: \include DenseBase_LinSpaced_seq.cpp
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@ -273,6 +275,7 @@ DenseBase<Derived>::LinSpaced(Sequential_t, const Scalar& low, const Scalar& hig
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* \brief Sets a linearly space vector.
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*
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* The function generates 'size' equally spaced values in the closed interval [low,high].
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* When size is set to 1, a vector of length 1 containing 'high' is returned.
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*
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* \only_for_vectors
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*
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@ -384,6 +387,7 @@ PlainObjectBase<Derived>::setConstant(Index rows, Index cols, const Scalar& valu
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* \brief Sets a linearly space vector.
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*
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* The function generates 'size' equally spaced values in the closed interval [low,high].
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* When size is set to 1, a vector of length 1 containing 'high' is returned.
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*
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* \only_for_vectors
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*
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@ -403,6 +407,7 @@ EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::setLinSpaced(Index size, const
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* \brief Sets a linearly space vector.
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*
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* The function fill *this with equally spaced values in the closed interval [low,high].
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* When size is set to 1, a vector of length 1 containing 'high' is returned.
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*
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* \only_for_vectors
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*
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@ -628,7 +628,7 @@ template <typename Scalar, bool RandomAccess> struct functor_traits< linspaced_o
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template <typename Scalar, bool RandomAccess> struct linspaced_op
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{
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typedef typename packet_traits<Scalar>::type Packet;
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linspaced_op(Scalar low, Scalar high, int num_steps) : impl(low, (high-low)/(num_steps-1)) {}
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linspaced_op(Scalar low, Scalar high, int num_steps) : impl((num_steps==1 ? high : low), (num_steps==1 ? 1 : (high-low)/(num_steps-1))) {}
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template<typename Index>
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EIGEN_STRONG_INLINE const Scalar operator() (Index i) const { return impl(i); }
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@ -76,8 +76,8 @@ void testVectorType(const VectorType& base)
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VERIFY( (MatrixXd(RowVectorXd::LinSpaced(3, 0, 1)) - RowVector3d(0, 0.5, 1)).norm() < std::numeric_limits<Scalar>::epsilon() );
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// These guys sometimes fail! This is not good. Any ideas how to fix them!?
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// VERIFY( m(m.size()-1) == high );
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// VERIFY( m(0) == low );
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//VERIFY( m(m.size()-1) == high );
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//VERIFY( m(0) == low );
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// sequential access version
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m = VectorType::LinSpaced(Sequential,size,low,high);
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@ -97,6 +97,12 @@ void testVectorType(const VectorType& base)
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Matrix<Scalar,Dynamic,1> size_changer(size+50);
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size_changer.setLinSpaced(size,low,high);
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VERIFY( size_changer.size() == size );
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typedef Matrix<Scalar,1,1> ScalarMatrix;
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ScalarMatrix scalar;
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scalar.setLinSpaced(1,low,high);
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VERIFY_IS_APPROX( scalar, ScalarMatrix::Constant(high) );
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VERIFY_IS_APPROX( ScalarMatrix::LinSpaced(1,low,high), ScalarMatrix::Constant(high) );
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}
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template<typename MatrixType>
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