Minor fix: Remove DOJO library (60Mo) replaced by link to Google CDN (online DOJO library)

git-svn-id: https://semanticscuttle.svn.sourceforge.net/svnroot/semanticscuttle/trunk@159 b3834d28-1941-0410-a4f8-b48e95affb8f

1 files changed, 0 insertions, 113 deletions

diff --git a/includes/js/dojox/charting/plot2d/common.js b/includes/js/dojox/charting/plot2d/common.js
deleted file mode 100644
index de60020..0000000
--- a/includes/js/dojox/charting/plot2d/common.js
+++ /dev/null
@@ -1,113 +0,0 @@
-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;
-		}
-	});
-})();
-
-}