Remove .gitignore do nothing is ignored.
[synfig.git] / synfig-core / trunk / src / modules / mod_gradient / conicalgradient.cpp
index f2abd63..5bf42a9 100644 (file)
@@ -1,6 +1,6 @@
 /* === S Y N F I G ========================================================= */
 /*!    \file conicalgradient.cpp
-**     \brief Template Header
+**     \brief Implementation of the "Conical Gradient" layer
 **
 **     $Id$
 **
@@ -53,8 +53,8 @@ using namespace synfig;
 
 SYNFIG_LAYER_INIT(ConicalGradient);
 SYNFIG_LAYER_SET_NAME(ConicalGradient,"conical_gradient");
-SYNFIG_LAYER_SET_LOCAL_NAME(ConicalGradient,_("Conical Gradient"));
-SYNFIG_LAYER_SET_CATEGORY(ConicalGradient,_("Gradients"));
+SYNFIG_LAYER_SET_LOCAL_NAME(ConicalGradient,N_("Conical Gradient"));
+SYNFIG_LAYER_SET_CATEGORY(ConicalGradient,N_("Gradients"));
 SYNFIG_LAYER_SET_VERSION(ConicalGradient,"0.1");
 SYNFIG_LAYER_SET_CVS_ID(ConicalGradient,"$Id$");
 
@@ -168,14 +168,18 @@ ConicalGradient::color_func(const Point &pos, float supersample)const
 */
        if(dist+supersample*0.5>1.0)
        {
-               Color pool(gradient(dist,supersample*0.5).premult_alpha()*(1.0-(dist-supersample*0.5)));
-               pool+=gradient((dist+supersample*0.5)-1.0,supersample*0.5).premult_alpha()*((dist+supersample*0.5)-1.0);
+               float  left(supersample*0.5-(dist-1.0));
+               float right(supersample*0.5+(dist-1.0));
+               Color pool(gradient(1.0-(left*0.5),left).premult_alpha()*left/supersample);
+               pool+=gradient(right*0.5,right).premult_alpha()*right/supersample;
                return pool.demult_alpha();
        }
        if(dist-supersample*0.5<0.0)
        {
-               Color pool(gradient(dist,supersample*0.5).premult_alpha()*(dist+supersample*0.5));
-               pool+=gradient(1.0-(dist-supersample*0.5),supersample*0.5).premult_alpha()*(-(dist-supersample*0.5));
+               float  left(supersample*0.5-dist);
+               float right(supersample*0.5+dist);
+               Color pool(gradient(right*0.5,right).premult_alpha()*right/supersample);
+               pool+=gradient(1.0-left*0.5,left).premult_alpha()*left/supersample;
                return pool.demult_alpha();
        }