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Diffstat (limited to 'extern/Eigen2/Eigen/src/Array/Random.h')
-rw-r--r--extern/Eigen2/Eigen/src/Array/Random.h156
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diff --git a/extern/Eigen2/Eigen/src/Array/Random.h b/extern/Eigen2/Eigen/src/Array/Random.h
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-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra. Eigen itself is part of the KDE project.
-//
-// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
-//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_RANDOM_H
-#define EIGEN_RANDOM_H
-
-template<typename Scalar> struct ei_scalar_random_op EIGEN_EMPTY_STRUCT {
- inline ei_scalar_random_op(void) {}
- inline const Scalar operator() (int, int) const { return ei_random<Scalar>(); }
-};
-template<typename Scalar>
-struct ei_functor_traits<ei_scalar_random_op<Scalar> >
-{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false, IsRepeatable = false }; };
-
-/** \array_module
- *
- * \returns a random matrix (not an expression, the matrix is immediately evaluated).
- *
- * The parameters \a rows and \a cols are the number of rows and of columns of
- * the returned matrix. Must be compatible with this MatrixBase type.
- *
- * This variant is meant to be used for dynamic-size matrix types. For fixed-size types,
- * it is redundant to pass \a rows and \a cols as arguments, so ei_random() should be used
- * instead.
- *
- * \addexample RandomExample \label How to create a matrix with random coefficients
- *
- * Example: \include MatrixBase_random_int_int.cpp
- * Output: \verbinclude MatrixBase_random_int_int.out
- *
- * \sa MatrixBase::setRandom(), MatrixBase::Random(int), MatrixBase::Random()
- */
-template<typename Derived>
-inline const CwiseNullaryOp<ei_scalar_random_op<typename ei_traits<Derived>::Scalar>, Derived>
-MatrixBase<Derived>::Random(int rows, int cols)
-{
- return NullaryExpr(rows, cols, ei_scalar_random_op<Scalar>());
-}
-
-/** \array_module
- *
- * \returns a random vector (not an expression, the vector is immediately evaluated).
- *
- * The parameter \a size is the size of the returned vector.
- * Must be compatible with this MatrixBase type.
- *
- * \only_for_vectors
- *
- * This variant is meant to be used for dynamic-size vector types. For fixed-size types,
- * it is redundant to pass \a size as argument, so ei_random() should be used
- * instead.
- *
- * Example: \include MatrixBase_random_int.cpp
- * Output: \verbinclude MatrixBase_random_int.out
- *
- * \sa MatrixBase::setRandom(), MatrixBase::Random(int,int), MatrixBase::Random()
- */
-template<typename Derived>
-inline const CwiseNullaryOp<ei_scalar_random_op<typename ei_traits<Derived>::Scalar>, Derived>
-MatrixBase<Derived>::Random(int size)
-{
- return NullaryExpr(size, ei_scalar_random_op<Scalar>());
-}
-
-/** \array_module
- *
- * \returns a fixed-size random matrix or vector
- * (not an expression, the matrix is immediately evaluated).
- *
- * This variant is only for fixed-size MatrixBase types. For dynamic-size types, you
- * need to use the variants taking size arguments.
- *
- * Example: \include MatrixBase_random.cpp
- * Output: \verbinclude MatrixBase_random.out
- *
- * \sa MatrixBase::setRandom(), MatrixBase::Random(int,int), MatrixBase::Random(int)
- */
-template<typename Derived>
-inline const CwiseNullaryOp<ei_scalar_random_op<typename ei_traits<Derived>::Scalar>, Derived>
-MatrixBase<Derived>::Random()
-{
- return NullaryExpr(RowsAtCompileTime, ColsAtCompileTime, ei_scalar_random_op<Scalar>());
-}
-
-/** \array_module
- *
- * Sets all coefficients in this expression to random values.
- *
- * Example: \include MatrixBase_setRandom.cpp
- * Output: \verbinclude MatrixBase_setRandom.out
- *
- * \sa class CwiseNullaryOp, setRandom(int), setRandom(int,int)
- */
-template<typename Derived>
-inline Derived& MatrixBase<Derived>::setRandom()
-{
- return *this = Random(rows(), cols());
-}
-
-/** Resizes to the given \a size, and sets all coefficients in this expression to random values.
- *
- * \only_for_vectors
- *
- * Example: \include Matrix_setRandom_int.cpp
- * Output: \verbinclude Matrix_setRandom_int.out
- *
- * \sa MatrixBase::setRandom(), setRandom(int,int), class CwiseNullaryOp, MatrixBase::Random()
- */
-template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
-EIGEN_STRONG_INLINE Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&
-Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::setRandom(int size)
-{
- resize(size);
- return setRandom();
-}
-
-/** Resizes to the given size, and sets all coefficients in this expression to random values.
- *
- * \param rows the new number of rows
- * \param cols the new number of columns
- *
- * Example: \include Matrix_setRandom_int_int.cpp
- * Output: \verbinclude Matrix_setRandom_int_int.out
- *
- * \sa MatrixBase::setRandom(), setRandom(int), class CwiseNullaryOp, MatrixBase::Random()
- */
-template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
-EIGEN_STRONG_INLINE Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&
-Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::setRandom(int rows, int cols)
-{
- resize(rows, cols);
- return setRandom();
-}
-
-#endif // EIGEN_RANDOM_H