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/*********************************************************************
* Software License Agreement (BSD License)
*
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*     with the distribution.
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*     contributors may be used to endorse or promote products derived
*     from this software without specific prior written permission.
*
*  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
*  "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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/* Author: Ioan Sucan */

#ifndef OMPL_BASE_STATE_SAMPLER_
#define OMPL_BASE_STATE_SAMPLER_

#include "ompl/base/State.h"
#include "ompl/util/RandomNumbers.h"
#include "ompl/util/ClassForward.h"
#include <vector>
#include <string>
#include <boost/function.hpp>
#include <boost/noncopyable.hpp>

namespace ompl
{
    namespace base
    {

        /// @cond IGNORE
        OMPL_CLASS_FORWARD(StateSpace);
        /// @endcond

        /// @cond IGNORE
        /** \brief Forward declaration of ompl::base::StateSampler */
        OMPL_CLASS_FORWARD(StateSampler);
        /// @endcond

        /** \class ompl::base::StateSamplerPtr
            \brief A boost shared pointer wrapper for ompl::base::StateSampler */

        /** \brief Abstract definition of a state space sampler. */
        class StateSampler : private boost::noncopyable
        {
        public:

            /** \brief Constructor */
            StateSampler(const StateSpace *space) : space_(space)
            {
            }

            virtual ~StateSampler(void)
            {
            }

            /** \brief Sample a state */
            virtual void sampleUniform(State *state) = 0;

            /** \brief Sample a state near another, within specified distance */
            virtual void sampleUniformNear(State *state, const State *near, const double distance) = 0;

            /** \brief Sample a state using a Gaussian distribution with given \e mean and standard deviation (\e stdDev) */
            virtual void sampleGaussian(State *state, const State *mean, const double stdDev) = 0;

        protected:

            /** \brief The state space this sampler samples */
            const StateSpace *space_;

            /** \brief An instance of a random number generator */
            RNG               rng_;
        };

        /** \brief Definition of a compound state sampler. This is useful to construct samplers for compound states. */
        class CompoundStateSampler : public StateSampler
        {
        public:

            /** \brief Constructor */
            CompoundStateSampler(const StateSpace* space) : StateSampler(space), samplerCount_(0)
            {
            }

            /** \brief Destructor. This frees the added samplers as well. */
            virtual ~CompoundStateSampler(void)
            {
            }

            /** \brief Add a sampler as part of the new compound
                sampler. This sampler is used to sample part of the
                compound state. When sampling near a state, the
                compound sampler calls in to added samplers. The
                distance passed to the called samplers is adjusted
                according to the specified importance. */
            virtual void addSampler(const StateSamplerPtr &sampler, double weightImportance);

            virtual void sampleUniform(State *state);

            /** \brief Call sampleUniformNear for each of the subspace states
                with distance scaled by the corresponding subspace weight. */
            virtual void sampleUniformNear(State *state, const State *near, const double distance);

            /** \brief Call sampleGaussian for each of the subspace states
                with stdDev scaled by the corresponding subspace weight. */
            virtual void sampleGaussian(State *state, const State *mean, const double stdDev);

        protected:

            /** \brief The samplers that are composed */
            std::vector<StateSamplerPtr> samplers_;

            /** \brief The weight of each sampler (used when sampling near a state) */
            std::vector<double>          weightImportance_;

        private:

            /** \brief The number of samplers that are composed */
            unsigned int                 samplerCount_;

        };

        /** \brief Construct a sampler that samples only within a subspace of the space */
        class SubspaceStateSampler : public StateSampler
        {
        public:

            /** \brief Construct a sampler for \e space but only sample components common to \e subspace. Use \e weight as a multiplicative factor for \e distance and \e stdDev in the sampleUniformNear() and sampleGaussian() functions. */
            SubspaceStateSampler(const StateSpace *space, const StateSpace *subspace, double weight);
            virtual ~SubspaceStateSampler(void);

            virtual void sampleUniform(State *state);

            virtual void sampleUniformNear(State *state, const State *near, const double distance);

            virtual void sampleGaussian(State *state, const State *mean, const double stdDev);

        protected:

            /** \brief The subspace to sample */
            const StateSpace        *subspace_;

            /** \brief The sampler for the subspace */
            StateSamplerPtr          subspaceSampler_;

            /** \brief The weigth factor to multiply distance and stdDev when sampling in the vicinity of a state */
            double                   weight_;

            /** \brief The names of common subspaces between \e space_ and \e subspace_; these are the ones copied after sampling a state */
            std::vector<std::string> subspaces_;

        private:

            /** \brief Temporary work area */
            State                   *work_;

            /** \brief Temporary work area */
            State                   *work2_;
        };

        /** \brief Definition of a function that can allocate a state sampler */
        typedef boost::function<StateSamplerPtr(const StateSpace*)> StateSamplerAllocator;
    }
}


#endif