Remove sky/benchmarks

sky/benchmarks/resources/runner.sky

Index: sky/benchmarks/resources/runner.sky
diff --git a/sky/benchmarks/resources/runner.sky b/sky/benchmarks/resources/runner.sky
deleted file mode 100644
index 8497a612dbf0a72f7efe7806e27739704bcb6ffb..0000000000000000000000000000000000000000
--- a/sky/benchmarks/resources/runner.sky
+++ /dev/null
@@ -1,89 +0,0 @@
-<script>
-function PerfRunner(options) {
-  this.unit_ = options.unit || "ms";
-  this.iterationsRemaining_ = options.iterations || 10;
-  this.results_ = [];
-  this.setup_ = options.setup;
-  this.logLines_ = [];
-}
-
-PerfRunner.prototype.log = function(line) {
-  this.logLines_.push(line);
-};
-
-PerfRunner.prototype.recordResult = function(result) {
-  this.results_.push(result);
-};
-
-PerfRunner.prototype.runAsync = function(test) {
-  var self = this;
-  window.setTimeout(function() {
-    if (self.setup_) {
-      var setup = self.setup_;
-      setup();
-    }
-
-    var startTime = Date.now();
-    test(function() {
-      var endTime = Date.now();
-
-      self.recordResult(endTime - startTime);
-      if (--self.iterationsRemaining_ > 0)
-        self.runAsync(test);
-      else
-        self.finish();
-    });
-  });
-};
-
-PerfRunner.prototype.computeStatistics = function() {
-  var data = this.results_.slice();
-
-  // Add values from the smallest to the largest to avoid the loss of significance
-  data.sort(function(a, b) { return a - b; });
-
-  var middle = Math.floor(data.length / 2);
-  var stats = {
-    min: data[0],
-    max: data[data.length - 1],
-    median: data.length % 2 ? data[middle] : (data[middle - 1] + data[middle]) / 2,
-  };
-
-  // Compute the mean and variance using Knuth's online algorithm (has good numerical stability).
-  var squareSum = 0;
-  stats.values = this.results_;
-  stats.mean = 0;
-  for (var i = 0; i < data.length; ++i) {
-      var x = data[i];
-      var delta = x - stats.mean;
-      var sweep = i + 1.0;
-      stats.mean += delta / sweep;
-      squareSum += delta * (x - stats.mean);
-  }
-  stats.variance = data.length <= 1 ? 0 : squareSum / (data.length - 1);
-  stats.stdev = Math.sqrt(stats.variance);
-  stats.unit = this.unit_;
-
-  return stats;
-};
-
-PerfRunner.prototype.logStatistics = function(title) {
-  var stats = this.computeStatistics();
-  this.log("");
-  this.log(title);
-  if (stats.values)
-    this.log("values " + stats.values.join(", ") + " " + stats.unit);
-  this.log("avg " + stats.mean + " " + stats.unit);
-  this.log("median " + stats.median + " " + stats.unit);
-  this.log("stdev " + stats.stdev + " " + stats.unit);
-  this.log("min " + stats.min + " " + stats.unit);
-  this.log("max " + stats.max + " " + stats.unit);
-};
-
-PerfRunner.prototype.finish = function () {
-  this.logStatistics("Time:");
-  internals.notifyTestComplete(this.logLines_.join('\n'));
-}
-
-module.exports = PerfRunner;
-</script>