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if(!dojo._hasResource["dojox.charting.plot2d.common"]){ //_hasResource checks added by build. Do not use _hasResource directly in your code.
dojo._hasResource["dojox.charting.plot2d.common"] = true;
dojo.provide("dojox.charting.plot2d.common");

dojo.require("dojo.colors");
dojo.require("dojox.gfx");
dojo.require("dojox.lang.functional");

(function(){
        var df = dojox.lang.functional, dc = dojox.charting.plot2d.common;
        
        dojo.mixin(dojox.charting.plot2d.common, {
                makeStroke: function(stroke){
                        if(!stroke){ return stroke; }
                        if(typeof stroke == "string" || stroke instanceof dojo.Color){
                                stroke = {color: stroke};
                        }
                        return dojox.gfx.makeParameters(dojox.gfx.defaultStroke, stroke);
                },
                augmentColor: function(target, color){
                        var t = new dojo.Color(target),
                                c = new dojo.Color(color);
                        c.a = t.a;
                        return c;
                },
                augmentStroke: function(stroke, color){
                        var s = dc.makeStroke(stroke);
                        if(s){
                                s.color = dc.augmentColor(s.color, color);
                        }
                        return s;
                },
                augmentFill: function(fill, color){
                        var fc, c = new dojo.Color(color);
                        if(typeof fill == "string" || fill instanceof dojo.Color){
                                return dc.augmentColor(fill, color);
                        }
                        return fill;
                },
                
                defaultStats: {hmin: Number.POSITIVE_INFINITY, hmax: Number.NEGATIVE_INFINITY, 
                        vmin: Number.POSITIVE_INFINITY, vmax: Number.NEGATIVE_INFINITY},
                
                collectSimpleStats: function(series){
                        var stats = dojo.clone(dc.defaultStats);
                        for(var i = 0; i < series.length; ++i){
                                var run = series[i];
                                if(!run.data.length){ continue; }
                                if(typeof run.data[0] == "number"){
                                        // 1D case
                                        var old_vmin = stats.vmin, old_vmax = stats.vmax;
                                        if(!("ymin" in run) || !("ymax" in run)){
                                                dojo.forEach(run.data, function(val, i){
                                                        var x = i + 1, y = val;
                                                        if(isNaN(y)){ y = 0; }
                                                        stats.hmin = Math.min(stats.hmin, x);
                                                        stats.hmax = Math.max(stats.hmax, x);
                                                        stats.vmin = Math.min(stats.vmin, y);
                                                        stats.vmax = Math.max(stats.vmax, y);
                                                });
                                        }
                                        if("ymin" in run){ stats.vmin = Math.min(old_vmin, run.ymin); }
                                        if("ymax" in run){ stats.vmax = Math.max(old_vmax, run.ymax); }
                                }else{
                                        // 2D case
                                        var old_hmin = stats.hmin, old_hmax = stats.hmax,
                                                old_vmin = stats.vmin, old_vmax = stats.vmax;
                                        if(!("xmin" in run) || !("xmax" in run) || !("ymin" in run) || !("ymax" in run)){
                                                dojo.forEach(run.data, function(val, i){
                                                        var x = val.x, y = val.y;
                                                        if(isNaN(x)){ x = 0; }
                                                        if(isNaN(y)){ y = 0; }
                                                        stats.hmin = Math.min(stats.hmin, x);
                                                        stats.hmax = Math.max(stats.hmax, x);
                                                        stats.vmin = Math.min(stats.vmin, y);
                                                        stats.vmax = Math.max(stats.vmax, y);
                                                });
                                        }
                                        if("xmin" in run){ stats.hmin = Math.min(old_hmin, run.xmin); }
                                        if("xmax" in run){ stats.hmax = Math.max(old_hmax, run.xmax); }
                                        if("ymin" in run){ stats.vmin = Math.min(old_vmin, run.ymin); }
                                        if("ymax" in run){ stats.vmax = Math.max(old_vmax, run.ymax); }
                                }
                        }
                        return stats;
                },
                
                collectStackedStats: function(series){
                        // collect statistics
                        var stats = dojo.clone(dc.defaultStats);
                        if(series.length){
                                // 1st pass: find the maximal length of runs
                                stats.hmin = Math.min(stats.hmin, 1);
                                stats.hmax = df.foldl(series, "seed, run -> Math.max(seed, run.data.length)", stats.hmax);
                                // 2nd pass: stack values
                                for(var i = 0; i < stats.hmax; ++i){
                                        var v = series[0].data[i];
                                        if(isNaN(v)){ v = 0; }
                                        stats.vmin = Math.min(stats.vmin, v);
                                        for(var j = 1; j < series.length; ++j){
                                                var t = series[j].data[i];
                                                if(isNaN(t)){ t = 0; }
                                                v += t;
                                        }
                                        stats.vmax = Math.max(stats.vmax, v);
                                }
                        }
                        return stats;
                }
        });
})();

}