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common.js
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common.js
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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;
}
});
})();
}

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