NormalRandom.hpp

Go to the documentation of this file.

/******************************************************************************
* Copyright (c) ATTX INC 2025. All Rights Reserved.
*
* This software and associated documentation (the "Software") are the 
* proprietary and confidential information of ATTX INC. The Software is 
* furnished under a license agreement between ATTX and the user organization 
* and may be used or copied only in accordance with the terms of the agreement.
* Refer to 'license/attx_license.adoc' for standard license terms.
*
* EXPORT CONTROL NOTICE: THIS SOFTWARE MAY INCLUDE CONTENT CONTROLLED UNDER THE
* INTERNATIONAL TRAFFIC IN ARMS REGULATIONS (ITAR) OR THE EXPORT ADMINISTRATION 
* REGULATIONS (EAR99). No part of the Software may be used, reproduced, or 
* transmitted in any form or by any means, for any purpose, without the express 
* written permission of ATTX INC.
******************************************************************************/
/*
Normal Random Distribution Header File
 
Author: Alex Reynolds
*/
#ifndef NORMAL_RANDOM_HPP
#define NORMAL_RANDOM_HPP
 
#include <random>
 
#include "architecture/GraphTreeObject.h"
#include "architecture/DataIO.hpp"
 
namespace warptwin {

    template<typename T>
    class NormalRandom : clockwerk::GraphTreeObject {
    public:
        NormalRandom(T set_mean, T set_std, unsigned int seed = 0);
        ~NormalRandom() {}
 
        T operator () ();

        clockwerk::DataIO<T> mean = clockwerk::DataIO<T>(this, "mean");

        clockwerk::DataIO<T> std = clockwerk::DataIO<T>(this, "std");
    protected:
        std::mt19937 _engine;
        std::normal_distribution<double> _distribution;
    };
 
    template <typename T>
    NormalRandom<T>::NormalRandom(T set_mean, T set_std, unsigned int seed) 
        : _engine{seed}, _distribution(0, 1.0) { 
        mean(set_mean);
        std(set_std);
    }
 
    template <typename T>
    T NormalRandom<T>::operator () () {
        // Calculate our distribution as 
        // val = mean + rng*seed
        // Where we 
 
        return mean() + _distribution(_engine)*std();
    }
 
}
 
#endif