Adding Angular and dependent packages for testing

third_party/pkg/angular/perf/_perf.dart

+library _perf;
+
+import 'package:intl/intl.dart';
+import 'dart:math';
+
+xtime(name, body) => null;
+time(name, body) {
+  print('$name: => ${statMeasure(body)}');
+}
+
+statMeasure(body) {
+  var list = [];
+  var count = 100;
+  for(var i = 0; i < count; i++) {
+    list.add(measure(body));
+  }
+  list.sort((a, b) => (a.rate - b.rate).toInt());
+  return new StatSample(list);
+}
+
+measure(b) {
+  // actual test;
+  var count = 0;
+  var stopwatch = new Stopwatch();
+  var targetTime = 50 * 1000;
+  stopwatch.start();
+  do {
+    b();
+    count++;
+  } while(stopwatch.elapsedMicroseconds < targetTime);
+
+  stopwatch.reset();
+  if (count < 100) {
+    for(var i = 0; i < count; i++) {
+      b();
+    }
+  } else {
+    var repeat = count ~/ 100;
+    for(var i = 0; i < repeat; i++) {
+      //0  1    2    3    4    5    6    7    8    9
+      b(); b(); b(); b(); b(); b(); b(); b(); b(); b(); // 0
+      b(); b(); b(); b(); b(); b(); b(); b(); b(); b(); // 1
+      b(); b(); b(); b(); b(); b(); b(); b(); b(); b(); // 2
+      b(); b(); b(); b(); b(); b(); b(); b(); b(); b(); // 3
+      b(); b(); b(); b(); b(); b(); b(); b(); b(); b(); // 4
+      b(); b(); b(); b(); b(); b(); b(); b(); b(); b(); // 5
+      b(); b(); b(); b(); b(); b(); b(); b(); b(); b(); // 6
+      b(); b(); b(); b(); b(); b(); b(); b(); b(); b(); // 7
+      b(); b(); b(); b(); b(); b(); b(); b(); b(); b(); // 8
+      b(); b(); b(); b(); b(); b(); b(); b(); b(); b(); // 9
+    }
+  }
+  stopwatch.stop();
+  int elapsed = max(1, stopwatch.elapsedMicroseconds);
+  return new Sample(count, elapsed);
+}
+
+main() {}
+
+class StatSample {
+  num meanAll = 0;
+  num varianceAll = 0;
+  num mean = 0;
+  num variance = 0;
+
+  StatSample(l) {
+    meanAll = l.fold(0, meanFoldFn) / l.length;
+    varianceAll = computeVariance(l);
+
+    var n = l.length;
+    var lower = (n*.5).toInt();
+    var upper = n - (n*.05).toInt();
+    l = l.getRange(lower, upper).toList();
+    mean = l.fold(0, meanFoldFn) / l.length;
+    variance = computeVariance(l);
+  }
+
+  meanFoldFn(p, e) => p + e.rate;
+  sumSqrsFn(p, e) => p + (mean-e.rate)*(mean-e.rate);
+  sumDiffFn(p, e) => p + (mean-e.rate);
+  get mean_ops_sec => mean * 1000000;
+  computeVariance(l) {
+    var n = l.length;
+    var sumDiffs = l.fold(0, sumDiffFn);
+    var sumSqrs = l.fold(0, sumSqrsFn);
+
+    return (sumSqrs - sumDiffs*sumDiffs/n)/(n - 1);
+  }
+
+  toString() {
+    var nf = new NumberFormat.decimalPattern()..maximumFractionDigits = 0;
+    var nfp = new NumberFormat.decimalPattern()..maximumFractionDigits = 5;
+
+    return '${nf.format(mean_ops_sec)} ops/sec ' +
+        '(${nf.format(1 / mean)} us) ' +
+        'stdev(${nfp.format(sqrt(variance))})';
+  }
+}
+
+class Sample {
+  num count;
+  num time_us;
+
+  Sample(this.count, this.time_us);
+
+  get rate => count / time_us;
+
+  toString() => rate;
+}