GZ/nwyj/.svn/pristine/71/7116ca660bd7a40b5436762d0cca8f9a922f8146.svn-base

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;
			}
		});
	})();

}