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Add nan-propagation options to matrix and array plugins.
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@ -30,15 +30,27 @@ operator/(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
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*
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* \sa max()
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*/
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EIGEN_MAKE_CWISE_BINARY_OP(min,min)
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template <int NaNPropagation=PropagateFast, typename OtherDerived>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar,NaNPropagation>, const Derived, const OtherDerived>
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#ifdef EIGEN_PARSED_BY_DOXYGEN
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min
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#else
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(min)
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#endif
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(const OtherDerived &other) const
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{
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return CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar,NaNPropagation>, const Derived, const OtherDerived>(derived(), other.derived());
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}
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/** \returns an expression of the coefficient-wise min of \c *this and scalar \a other
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*
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* \sa max()
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*/
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template <int NaNPropagation=PropagateFast>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived,
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const CwiseNullaryOp<internal::scalar_constant_op<Scalar>, PlainObject> >
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar,NaNPropagation>, const Derived,
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const CwiseNullaryOp<internal::scalar_constant_op<Scalar>, PlainObject> >
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#ifdef EIGEN_PARSED_BY_DOXYGEN
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min
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#else
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@ -46,7 +58,7 @@ min
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#endif
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(const Scalar &other) const
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{
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return (min)(Derived::PlainObject::Constant(rows(), cols(), other));
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return (min<NaNPropagation>)(Derived::PlainObject::Constant(rows(), cols(), other));
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}
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/** \returns an expression of the coefficient-wise max of \c *this and \a other
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@ -56,14 +68,26 @@ min
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*
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* \sa min()
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*/
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EIGEN_MAKE_CWISE_BINARY_OP(max,max)
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template <int NaNPropagation=PropagateFast, typename OtherDerived>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar,NaNPropagation>, const Derived, const OtherDerived>
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#ifdef EIGEN_PARSED_BY_DOXYGEN
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max
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#else
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(max)
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#endif
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(const OtherDerived &other) const
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{
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return CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar,NaNPropagation>, const Derived, const OtherDerived>(derived(), other.derived());
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}
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/** \returns an expression of the coefficient-wise max of \c *this and scalar \a other
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*
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* \sa min()
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*/
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template <int NaNPropagation=PropagateFast>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived,
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar,NaNPropagation>, const Derived,
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const CwiseNullaryOp<internal::scalar_constant_op<Scalar>, PlainObject> >
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#ifdef EIGEN_PARSED_BY_DOXYGEN
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max
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@ -72,7 +96,7 @@ max
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#endif
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(const Scalar &other) const
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{
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return (max)(Derived::PlainObject::Constant(rows(), cols(), other));
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return (max<NaNPropagation>)(Derived::PlainObject::Constant(rows(), cols(), other));
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}
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/** \returns an expression of the coefficient-wise absdiff of \c *this and \a other
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@ -72,20 +72,21 @@ cwiseNotEqual(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
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*
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* \sa class CwiseBinaryOp, max()
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*/
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template<typename OtherDerived>
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template<int NaNPropagation=PropagateFast, typename OtherDerived>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const OtherDerived>
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar,NaNPropagation>, const Derived, const OtherDerived>
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cwiseMin(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
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{
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return CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
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return CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar,NaNPropagation>, const Derived, const OtherDerived>(derived(), other.derived());
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}
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/** \returns an expression of the coefficient-wise min of *this and scalar \a other
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*
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* \sa class CwiseBinaryOp, min()
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*/
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template<int NaNPropagation=PropagateFast>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const ConstantReturnType>
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar,NaNPropagation>, const Derived, const ConstantReturnType>
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cwiseMin(const Scalar &other) const
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{
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return cwiseMin(Derived::Constant(rows(), cols(), other));
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@ -98,20 +99,21 @@ cwiseMin(const Scalar &other) const
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*
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* \sa class CwiseBinaryOp, min()
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*/
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template<typename OtherDerived>
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template<int NaNPropagation=PropagateFast, typename OtherDerived>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const OtherDerived>
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar,NaNPropagation>, const Derived, const OtherDerived>
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cwiseMax(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
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{
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return CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
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return CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar,NaNPropagation>, const Derived, const OtherDerived>(derived(), other.derived());
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}
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/** \returns an expression of the coefficient-wise max of *this and scalar \a other
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*
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* \sa class CwiseBinaryOp, min()
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*/
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template<int NaNPropagation=PropagateFast>
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EIGEN_DEVICE_FUNC
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const ConstantReturnType>
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EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar,NaNPropagation>, const Derived, const ConstantReturnType>
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cwiseMax(const Scalar &other) const
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{
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return cwiseMax(Derived::Constant(rows(), cols(), other));
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@ -211,6 +211,31 @@ template<typename MatrixType> void cwise_min_max(const MatrixType& m)
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VERIFY_IS_APPROX(MatrixType::Constant(rows,cols, maxM1).array(), (m1.array().max)( maxM1));
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VERIFY_IS_APPROX(m1.array(), (m1.array().max)( minM1));
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// Test NaN propagation for min/max.
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if (!NumTraits<Scalar>::IsInteger) {
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m1(0,0) = NumTraits<Scalar>::quiet_NaN();
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// Elementwise.
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VERIFY((numext::isnan)(m1.template cwiseMax<PropagateNaN>(MatrixType::Constant(rows,cols, Scalar(1)))(0,0)));
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VERIFY((numext::isnan)(m1.template cwiseMin<PropagateNaN>(MatrixType::Constant(rows,cols, Scalar(1)))(0,0)));
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VERIFY(!(numext::isnan)(m1.template cwiseMax<PropagateNumbers>(MatrixType::Constant(rows,cols, Scalar(1)))(0,0)));
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VERIFY(!(numext::isnan)(m1.template cwiseMin<PropagateNumbers>(MatrixType::Constant(rows,cols, Scalar(1)))(0,0)));
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VERIFY((numext::isnan)(m1.array().template max<PropagateNaN>(MatrixType::Constant(rows,cols, Scalar(1)).array())(0,0)));
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VERIFY((numext::isnan)(m1.array().template min<PropagateNaN>(MatrixType::Constant(rows,cols, Scalar(1)).array())(0,0)));
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VERIFY(!(numext::isnan)(m1.array().template max<PropagateNumbers>(MatrixType::Constant(rows,cols, Scalar(1)).array())(0,0)));
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VERIFY(!(numext::isnan)(m1.array().template min<PropagateNumbers>(MatrixType::Constant(rows,cols, Scalar(1)).array())(0,0)));
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// Reductions.
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VERIFY((numext::isnan)(m1.template maxCoeff<PropagateNaN>()));
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VERIFY((numext::isnan)(m1.template minCoeff<PropagateNaN>()));
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if (m1.size() > 1) {
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VERIFY(!(numext::isnan)(m1.template maxCoeff<PropagateNumbers>()));
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VERIFY(!(numext::isnan)(m1.template minCoeff<PropagateNumbers>()));
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} else {
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VERIFY((numext::isnan)(m1.template maxCoeff<PropagateNumbers>()));
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VERIFY((numext::isnan)(m1.template minCoeff<PropagateNumbers>()));
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}
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}
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}
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template<typename MatrixTraits> void resize(const MatrixTraits& t)
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