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// Copyright (C) 2010 by Thomas Moulard, AIST, CNRS, INRIA.
//
// This file is part of the roboptim.
//
// roboptim 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.
//
// roboptim 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 for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with roboptim.  If not, see <http://www.gnu.org/licenses/>.

#ifndef ROBOPTIM_CORE_FILTER_SPLIT_HH
# define ROBOPTIM_CORE_FILTER_SPLIT_HH
# include <roboptim/core/sys.hh>
# include <roboptim/core/debug.hh>

# include <boost/shared_ptr.hpp>

# include <roboptim/core/n-times-derivable-function.hh>

namespace roboptim
{
  /// \addtogroup roboptim_filter
  /// @{


  template <typename T>
  class ROBOPTIM_DLLAPI Split : public T
  {
  public:
    /// \brief Import value type.
    typedef typename DifferentiableFunction::value_type value_type;
    /// \brief Import size type.
    typedef typename DifferentiableFunction::size_type size_type;
    /// \brief Import vector type.
    typedef typename DifferentiableFunction::vector_t vector_t;
    /// \brief Import result type.
    typedef typename DifferentiableFunction::result_t result_t;
    /// \brief Import argument type.
    typedef typename DifferentiableFunction::argument_t argument_t;
    /// \brief Import gradient type.
    typedef typename DifferentiableFunction::gradient_t gradient_t;
    /// \brief Import hessian type.
    typedef typename TwiceDifferentiableFunction::hessian_t hessian_t;
    /// \brief Import jacobian type.
    typedef typename DifferentiableFunction::jacobian_t jacobian_t;
    /// \brief Import interval type.
    typedef typename DifferentiableFunction::interval_t interval_t;

    explicit Split (boost::shared_ptr<const T> fct,
		    size_type functionId) throw ();
    ~Split () throw ();

  protected:
    virtual void impl_compute (result_t& result, const argument_t& argument)
      const throw ();


    virtual void impl_gradient (gradient_t& gradient,
				const argument_t& argument,
				size_type functionId = 0)
      const throw ();

    virtual void impl_hessian (hessian_t& hessian,
    			       const argument_t& argument,
    			       size_type functionId = 0) const throw ();

    virtual void impl_derivative (gradient_t& derivative,
    				  double argument,
    				  size_type order = 1) const throw ();

  private:
    boost::shared_ptr<const T> function_;
    size_type functionId_;
    mutable result_t res_;
  };

  template <typename P, typename C>
  void addNonScalarConstraint
  (P& problem,
   boost::shared_ptr<C> constraint,
   std::vector<Function::interval_t> interval,
   std::vector<Function::value_type> scale
   = std::vector<Function::value_type> ())
    throw (std::runtime_error);


  /// @}

} // end of namespace roboptim

# include <roboptim/core/filter/split.hxx>
#endif //! ROBOPTIM_CORE_FILTER_SPLIT_HH