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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// 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_ALLANDANY_H
+#define EIGEN_ALLANDANY_H
+
+namespace Eigen {
+
+namespace internal {
+
+template<typename Derived, int UnrollCount, int Rows>
+struct all_unroller
+{
+ enum {
+ col = (UnrollCount-1) / Rows,
+ row = (UnrollCount-1) % Rows
+ };
+
+ EIGEN_DEVICE_FUNC static inline bool run(const Derived &mat)
+ {
+ return all_unroller<Derived, UnrollCount-1, Rows>::run(mat) && mat.coeff(row, col);
+ }
+};
+
+template<typename Derived, int Rows>
+struct all_unroller<Derived, 0, Rows>
+{
+ EIGEN_DEVICE_FUNC static inline bool run(const Derived &/*mat*/) { return true; }
+};
+
+template<typename Derived, int Rows>
+struct all_unroller<Derived, Dynamic, Rows>
+{
+ EIGEN_DEVICE_FUNC static inline bool run(const Derived &) { return false; }
+};
+
+template<typename Derived, int UnrollCount, int Rows>
+struct any_unroller
+{
+ enum {
+ col = (UnrollCount-1) / Rows,
+ row = (UnrollCount-1) % Rows
+ };
+
+ EIGEN_DEVICE_FUNC static inline bool run(const Derived &mat)
+ {
+ return any_unroller<Derived, UnrollCount-1, Rows>::run(mat) || mat.coeff(row, col);
+ }
+};
+
+template<typename Derived, int Rows>
+struct any_unroller<Derived, 0, Rows>
+{
+ EIGEN_DEVICE_FUNC static inline bool run(const Derived & /*mat*/) { return false; }
+};
+
+template<typename Derived, int Rows>
+struct any_unroller<Derived, Dynamic, Rows>
+{
+ EIGEN_DEVICE_FUNC static inline bool run(const Derived &) { return false; }
+};
+
+} // end namespace internal
+
+/** \returns true if all coefficients are true
+ *
+ * Example: \include MatrixBase_all.cpp
+ * Output: \verbinclude MatrixBase_all.out
+ *
+ * \sa any(), Cwise::operator<()
+ */
+template<typename Derived>
+EIGEN_DEVICE_FUNC inline bool DenseBase<Derived>::all() const
+{
+ typedef internal::evaluator<Derived> Evaluator;
+ enum {
+ unroll = SizeAtCompileTime != Dynamic
+ && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
+ };
+ Evaluator evaluator(derived());
+ if(unroll)
+ return internal::all_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic, internal::traits<Derived>::RowsAtCompileTime>::run(evaluator);
+ else
+ {
+ for(Index j = 0; j < cols(); ++j)
+ for(Index i = 0; i < rows(); ++i)
+ if (!evaluator.coeff(i, j)) return false;
+ return true;
+ }
+}
+
+/** \returns true if at least one coefficient is true
+ *
+ * \sa all()
+ */
+template<typename Derived>
+EIGEN_DEVICE_FUNC inline bool DenseBase<Derived>::any() const
+{
+ typedef internal::evaluator<Derived> Evaluator;
+ enum {
+ unroll = SizeAtCompileTime != Dynamic
+ && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
+ };
+ Evaluator evaluator(derived());
+ if(unroll)
+ return internal::any_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic, internal::traits<Derived>::RowsAtCompileTime>::run(evaluator);
+ else
+ {
+ for(Index j = 0; j < cols(); ++j)
+ for(Index i = 0; i < rows(); ++i)
+ if (evaluator.coeff(i, j)) return true;
+ return false;
+ }
+}
+
+/** \returns the number of coefficients which evaluate to true
+ *
+ * \sa all(), any()
+ */
+template<typename Derived>
+EIGEN_DEVICE_FUNC inline Eigen::Index DenseBase<Derived>::count() const
+{
+ return derived().template cast<bool>().template cast<Index>().sum();
+}
+
+/** \returns true is \c *this contains at least one Not A Number (NaN).
+ *
+ * \sa allFinite()
+ */
+template<typename Derived>
+inline bool DenseBase<Derived>::hasNaN() const
+{
+#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
+ return derived().array().isNaN().any();
+#else
+ return !((derived().array()==derived().array()).all());
+#endif
+}
+
+/** \returns true if \c *this contains only finite numbers, i.e., no NaN and no +/-INF values.
+ *
+ * \sa hasNaN()
+ */
+template<typename Derived>
+inline bool DenseBase<Derived>::allFinite() const
+{
+#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
+ return derived().array().isFinite().all();
+#else
+ return !((derived()-derived()).hasNaN());
+#endif
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_ALLANDANY_H