1 files changed, 210 insertions, 0 deletions
diff --git a/debian/missing-sources/epoch/tests/render/js/data.js b/debian/missing-sources/epoch/tests/render/js/data.js
new file mode 100644
index 0000000..a49da68
--- /dev/null
+++ b/debian/missing-sources/epoch/tests/render/js/data.js
@@ -0,0 +1,210 @@
+(function() {
+
+    // Quick data generator
+    Data = function() {
+        this.layers = []
+    };
+
+    Data.prototype.add = function(fn) {
+        fn = fn ? fn : function(x) { return x; };
+        this.layers.push(fn);
+        return this;
+    };
+
+    Data.prototype.get = function(domain, step) {
+        domain = domain ? domain : [0, 10];
+        step = step ? step : 1;
+
+        var data = []
+        for (var i = 0; i < this.layers.length; i++) {
+            layer = { label: String.fromCharCode(i + 65), values: [] };
+            for (var x = domain[0]; x < domain[1]; x += step) {
+                layer.values.push({ x: x, y: this.layers[i](x) });
+            }
+            data.push(layer);
+        }
+        return data;
+    };
+
+    Data.prototype.random = function(entries, domain, range) {
+        entries = entries ? entries : 50;
+        domain = domain ? domain : [0, 100];
+        range = range ? range : [0, 100];
+
+        var values = [];
+        for (var i = 0; i < entries; i++) {
+            var x = (domain[1] - domain[0]) * Math.random() + domain[0],
+                y = (range[1] - range[0]) * Math.random() + range[1];
+            values.push({ x: x, y: y });
+        }
+
+        return [{ label: 'A', values: values }];
+    };
+
+    Data.prototype.multiRandom = function(numSeries, entries, domain, range) {
+        numSeries = numSeries ? numSeries : 3;
+        entries = entries ? entries : 50;
+        domain = domain ? domain : [0, 100];
+        range = range ? range : [0, 100];
+
+        var data = [];
+
+        for (var j = 0; j < numSeries; j++) {
+            var layer = { label: String.fromCharCode(65 + j), values: [] };
+            for (var i = 0; i < entries; i++) {
+                var x = (domain[1] - domain[0]) * Math.random() + domain[0],
+                    y = (range[1] - range[0]) * Math.random() + range[1];
+                layer.values.push({ x: x, y: y });
+            }
+            data.push(layer);
+        }
+
+        return data;
+    };
+
+    window.data = function() { return new Data(); };
+
+
+    // Quick real-time data generator
+    Time = function() {
+        Data.call(this);
+    };
+
+    Time.prototype = new Data()
+
+    Time.prototype.get = function(domain, step) {
+        var data = Data.prototype.get.apply(this, arguments),
+            time = parseInt(new Date().getTime() / 1000);
+
+        for (var i = 0; i < data[0].values.length; i++) {
+            for (var j = 0; j < this.layers.length; j++) {
+                delete data[j].values[i].x;
+                data[j].values[i].time = time + i;
+            }
+        }
+
+        this.currentTime = time;
+        this.lastX = domain[1];
+
+        return data;
+    };
+
+    Time.prototype.next = function(step) {
+        this.currentTime++;
+        this.lastX += (step ? step : 1);
+
+        var data = [];
+        for (var j = 0; j < this.layers.length; j++) {
+            data.push({ time: this.currentTime, y: this.layers[j](this.lastX) })
+        }
+
+        return data;
+    }
+
+    window.time = function() { return new Time(); };
+
+
+
+
+    window.nextTime = (function() {
+        var currentTime = parseInt(new Date().getTime() / 1000);
+        return function() { return currentTime++; }
+    })();
+
+
+    /*
+     * Normal distribution random histogram data generator.
+     */
+    var NormalData = function(layers) {
+        this.layers = layers;
+        this.timestamp = ((new Date()).getTime() / 1000)|0;
+    };
+    
+    var normal = function() {
+        var U = Math.random(),
+            V = Math.random();
+        return Math.sqrt(-2*Math.log(U)) * Math.cos(2*Math.PI*V);
+    };
+
+    NormalData.prototype.sample = function() {
+        return parseInt(normal() * 12.5 + 50);
+    }
+
+    NormalData.prototype.rand = function() {
+        var histogram = {};
+
+        for (var i = 0; i < 1000; i ++) {
+            var r = this.sample();
+            if (!histogram[r]) {
+                histogram[r] = 1;
+            }
+            else {
+                histogram[r]++;
+            }
+        }
+
+        return histogram;
+    };
+
+    NormalData.prototype.history = function(entries) {
+        if (typeof(entries) != 'number' || !entries) {
+            entries = 60;
+        }
+
+        var history = [];
+        for (var k = 0; k < this.layers; k++) {
+            history.push({ label: String.fromCharCode(65+k), values: [] });
+        }
+
+        for (var i = 0; i < entries; i++) {
+            for (var j = 0; j < this.layers; j++) {
+                history[j].values.push({time: this.timestamp, histogram: this.rand()});
+            }
+            this.timestamp++;
+        }
+
+        return history;
+    };
+
+    NormalData.prototype.next = function() {
+        var entry = [];
+        for (var i = 0; i < this.layers; i++) {
+            entry.push({ time: this.timestamp, histogram: this.rand() });
+        }
+        this.timestamp++;
+        return entry;
+    }
+
+    window.NormalData = NormalData;
+
+
+    /*
+     * Beta distribution histogram data generator.
+     */
+    var BetaData = function(alpha, beta, layers) {
+        this.alpha = alpha;
+        this.beta = beta;
+        this.layers = layers;
+        this.timestamp = ((new Date()).getTime() / 1000)|0;
+    };
+
+    BetaData.prototype = new NormalData();
+
+    BetaData.prototype.sample = function() {
+        var X = 0,
+            Y = 0;
+
+        for (var j = 1; j <= this.alpha; j++)
+            X += -Math.log(1 - Math.random());
+
+        for (var j = 1; j <= this.beta; j++)
+            Y += -Math.log(1 - Math.random());
+
+        return parseInt(100 * X / (X + Y));
+    }
+
+    window.BetaData = BetaData;
+
+})();
+
+