Index: tracing/tracing/metrics/webrtc/webrtc_rendering_metric_test.html |
diff --git a/tracing/tracing/metrics/webrtc/webrtc_rendering_metric_test.html b/tracing/tracing/metrics/webrtc/webrtc_rendering_metric_test.html |
index 9d1b0c413151be66c53108882dc5b2d42b921ebc..9b7af556f865c6099ba1179d766aa5049f32080d 100644 |
--- a/tracing/tracing/metrics/webrtc/webrtc_rendering_metric_test.html |
+++ b/tracing/tracing/metrics/webrtc/webrtc_rendering_metric_test.html |
@@ -171,19 +171,21 @@ tr.b.unittest.testSuite(function() { |
// We don't have access to the values stored in the histogram, so we check |
// for equality in the summary statistics. |
let hist = histograms.getHistogramNamed('WebRTCRendering_drift_time'); |
- assert.strictEqual(hist.sum, tr.b.Statistics.sum(fakeDriftTimes)); |
+ assert.strictEqual(hist.sum, tr.b.math.Statistics.sum(fakeDriftTimes)); |
assert.strictEqual(hist.numValues, fakeDriftTimes.length); |
- assert.strictEqual(hist.running.min, tr.b.Statistics.min(fakeDriftTimes)); |
- assert.strictEqual(hist.running.max, tr.b.Statistics.max(fakeDriftTimes)); |
+ assert.strictEqual(hist.running.min, |
+ tr.b.math.Statistics.min(fakeDriftTimes)); |
+ assert.strictEqual(hist.running.max, |
+ tr.b.math.Statistics.max(fakeDriftTimes)); |
assert.closeTo(hist.standardDeviation, |
- tr.b.Statistics.stddev(fakeDriftTimes), 1e-2); |
+ tr.b.math.Statistics.stddev(fakeDriftTimes), 1e-2); |
}); |
test('framesBadlyOutOfSyncPerfect', function() { |
// None of these will exceed the threshold for badly out of sync events, |
// which is about 33 333. |
let normDriftTimes = [-16700, 17640, 15000, -17640, -15000, 16700]; |
- assert.strictEqual(tr.b.Statistics.sum(normDriftTimes), 0); |
+ assert.strictEqual(tr.b.math.Statistics.sum(normDriftTimes), 0); |
let fakeEvents = eventsFromNormDriftTimes(normDriftTimes); |
let histograms = runWebrtcRenderingMetric(fakeEvents); |
@@ -197,7 +199,7 @@ tr.b.unittest.testSuite(function() { |
// Only 34 000 will exceed the threshold for badly out of sync events, |
// which is about 33 333. |
let normDriftTimes = [-34000, 10000, 10000, 10000, 4000]; |
- assert.strictEqual(tr.b.Statistics.sum(normDriftTimes), 0); |
+ assert.strictEqual(tr.b.math.Statistics.sum(normDriftTimes), 0); |
let fakeEvents = eventsFromNormDriftTimes(normDriftTimes); |
let histograms = runWebrtcRenderingMetric(fakeEvents); |
@@ -211,7 +213,7 @@ tr.b.unittest.testSuite(function() { |
// None of these will exceed the threshold for badly out of sync, which is |
// about 16 667. |
let normDriftTimes = [-16600, 15640, 15000, -15640, -15000, 16600]; |
- assert.strictEqual(tr.b.Statistics.sum(normDriftTimes), 0); |
+ assert.strictEqual(tr.b.math.Statistics.sum(normDriftTimes), 0); |
let fakeEvents = eventsFromNormDriftTimes(normDriftTimes); |
let histograms = runWebrtcRenderingMetric(fakeEvents); |
@@ -225,7 +227,7 @@ tr.b.unittest.testSuite(function() { |
// Only 17000 will exceed the threshold for badly out of sync, which is |
// about 16 667. |
let normDriftTimes = [-17000, 5000, 5000, 5000, 2000]; |
- assert.strictEqual(tr.b.Statistics.sum(normDriftTimes), 0); |
+ assert.strictEqual(tr.b.math.Statistics.sum(normDriftTimes), 0); |
let fakeEvents = eventsFromNormDriftTimes(normDriftTimes); |
let histograms = runWebrtcRenderingMetric(fakeEvents); |
@@ -239,7 +241,7 @@ tr.b.unittest.testSuite(function() { |
// None of these will exceed the threshold for badly out of sync events, |
// which is about 33 333. |
let normDriftTimes = [-16700, 17640, 15000, -17640, -15000, 16700]; |
- assert.strictEqual(tr.b.Statistics.sum(normDriftTimes), 0); |
+ assert.strictEqual(tr.b.math.Statistics.sum(normDriftTimes), 0); |
let fakeEvents = eventsFromNormDriftTimes(normDriftTimes); |
let histograms = runWebrtcRenderingMetric(fakeEvents); |
@@ -253,7 +255,7 @@ tr.b.unittest.testSuite(function() { |
// Only 34 000 will exceed the threshold for badly out of sync events, |
// which is about 33 333. |
let normDriftTimes = [-34000, 10000, 10000, 10000, 4000]; |
- assert.strictEqual(tr.b.Statistics.sum(normDriftTimes), 0); |
+ assert.strictEqual(tr.b.math.Statistics.sum(normDriftTimes), 0); |
let fakeEvents = eventsFromNormDriftTimes(normDriftTimes); |
let histograms = runWebrtcRenderingMetric(fakeEvents); |
@@ -267,7 +269,7 @@ tr.b.unittest.testSuite(function() { |
// None of these will exceed the threshold for badly out of sync, which is |
// about 16 667. |
let normDriftTimes = [-16600, 15640, 15000, -15640, -15000, 16600]; |
- assert.strictEqual(tr.b.Statistics.sum(normDriftTimes), 0); |
+ assert.strictEqual(tr.b.math.Statistics.sum(normDriftTimes), 0); |
let fakeEvents = eventsFromNormDriftTimes(normDriftTimes); |
let histograms = runWebrtcRenderingMetric(fakeEvents); |
@@ -281,7 +283,7 @@ tr.b.unittest.testSuite(function() { |
// Only 17000 will exceed the threshold for badly out of sync, which is |
// about 16 667. |
let normDriftTimes = [-17000, 5000, 5000, 5000, 2000]; |
- assert.strictEqual(tr.b.Statistics.sum(normDriftTimes), 0); |
+ assert.strictEqual(tr.b.math.Statistics.sum(normDriftTimes), 0); |
let fakeEvents = eventsFromNormDriftTimes(normDriftTimes); |
let histograms = runWebrtcRenderingMetric(fakeEvents); |
@@ -295,7 +297,7 @@ tr.b.unittest.testSuite(function() { |
// None of these will exceed the threshold for badly out of sync, which is |
// about 16 667, so the smoothnessScore wil be perfect. |
let normDriftTimes = [-16600, 15640, 15000, -15640, -15000, 16600]; |
- assert.strictEqual(tr.b.Statistics.sum(normDriftTimes), 0); |
+ assert.strictEqual(tr.b.math.Statistics.sum(normDriftTimes), 0); |
let fakeEvents = eventsFromNormDriftTimes(normDriftTimes); |
let histograms = runWebrtcRenderingMetric(fakeEvents); |
@@ -311,7 +313,7 @@ tr.b.unittest.testSuite(function() { |
// 1 - (frames out of sync + 3 * frames badly out of sync) / n |
// = 1 - (2 + 3) / 5 = 0 |
let normDriftTimes = [-17000, 34000, -17000, -10000, 10000]; |
- assert.strictEqual(tr.b.Statistics.sum(normDriftTimes), 0); |
+ assert.strictEqual(tr.b.math.Statistics.sum(normDriftTimes), 0); |
let fakeEvents = eventsFromNormDriftTimes(normDriftTimes); |
let histograms = runWebrtcRenderingMetric(fakeEvents); |
@@ -435,7 +437,7 @@ tr.b.unittest.testSuite(function() { |
// The rendering length error is then the sum of the errors, normalized by |
// the span between the first and the last Ideal Render Instants. |
let idealRenderSpan = fakePairs[fakePairs.length - 1][0] - fakePairs[0][0]; |
- let expectedRenderingLengthError = tr.b.Statistics.sum(errors) / |
+ let expectedRenderingLengthError = tr.b.math.Statistics.sum(errors) / |
idealRenderSpan; |
let fakeEvents = fakePairs.map(eventFromPair); |