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📄 agg_gamma_functions.h

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//----------------------------------------------------------------------------// Anti-Grain Geometry - Version 2.3// Copyright (C) 2002-2005 Maxim Shemanarev (http://www.antigrain.com)//// Permission to copy, use, modify, sell and distribute this software // is granted provided this copyright notice appears in all copies. // This software is provided "as is" without express or implied// warranty, and with no claim as to its suitability for any purpose.////----------------------------------------------------------------------------// Contact: mcseem@antigrain.com//          mcseemagg@yahoo.com//          http://www.antigrain.com//----------------------------------------------------------------------------#ifndef AGG_GAMMA_FUNCTIONS_INCLUDED#define AGG_GAMMA_FUNCTIONS_INCLUDED#include <math.h>#include "agg_basics.h"namespace agg{    //===============================================================gamma_none    struct gamma_none    {        double operator()(double x) const { return x; }    };    //==============================================================gamma_power    class gamma_power    {    public:        gamma_power() : m_gamma(1.0) {}        gamma_power(double g) : m_gamma(g) {}        void gamma(double g) { m_gamma = g; }        double gamma() const { return m_gamma; }        double operator() (double x) const        {            return pow(x, m_gamma);        }    private:        double m_gamma;    };    //==========================================================gamma_threshold    class gamma_threshold    {    public:        gamma_threshold() : m_threshold(0.5) {}        gamma_threshold(double t) : m_threshold(t) {}        void threshold(double t) { m_threshold = t; }        double threshold() const { return m_threshold; }        double operator() (double x) const        {            return (x < m_threshold) ? 0.0 : 1.0;        }    private:        double m_threshold;    };    //============================================================gamma_linear    class gamma_linear    {    public:        gamma_linear() : m_start(0.0), m_end(1.0) {}        gamma_linear(double s, double e) : m_start(s), m_end(e) {}        void set(double s, double e) { m_start = s; m_end = e; }        void start(double s) { m_start = s; }        void end(double e) { m_end = e; }        double start() const { return m_start; }        double end() const { return m_end; }        double operator() (double x) const        {            if(x < m_start) return 0.0;            if(x > m_end) return 1.0;            return (x - m_start) / (m_end - m_start);        }    private:        double m_start;        double m_end;    };    //==========================================================gamma_multiply    class gamma_multiply    {    public:        gamma_multiply() : m_mul(1.0) {}        gamma_multiply(double v) : m_mul(v) {}        void value(double v) { m_mul = v; }        double value() const { return m_mul; }        double operator() (double x) const        {            double y = x * m_mul;            if(y > 1.0) y = 1.0;            return y;        }    private:        double m_mul;    };}#endif

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