| Index: third_party/WebKit/LayoutTests/webaudio/panner-automation-position.html
|
| diff --git a/third_party/WebKit/LayoutTests/webaudio/panner-automation-position.html b/third_party/WebKit/LayoutTests/webaudio/panner-automation-position.html
|
| new file mode 100644
|
| index 0000000000000000000000000000000000000000..0b73411f409230400c97eb2e71d0fde6fd5db279
|
| --- /dev/null
|
| +++ b/third_party/WebKit/LayoutTests/webaudio/panner-automation-position.html
|
| @@ -0,0 +1,243 @@
|
| +<!doctype html>
|
| +<html>
|
| + <head>
|
| + <script src="../resources/js-test.js"></script>
|
| + <script src="resources/compatibility.js"></script>
|
| + <script src="resources/audio-testing.js"></script>
|
| + <script src="resources/panner-formulas.js"></script>
|
| + <title>Test Automation of SpatialPanner Position</title>
|
| + </head>
|
| +
|
| + <body>
|
| + <script>
|
| + description("Test Automation of SpatialPannerNode Position.");
|
| + window.jsTestIsAsync = true;
|
| +
|
| + var sampleRate = 48000;
|
| + // These tests are quite slow, so don't run for many frames. 256 frames should be enough to
|
| + // demonstrate that automations are working.
|
| + var renderFrames = 256;
|
| + var renderDuration = renderFrames / sampleRate;
|
| +
|
| + var context;
|
| + var panner;
|
| +
|
| + var audit = Audit.createTaskRunner();
|
| +
|
| + audit.defineTask("z only", function (done) {
|
| + runTest({
|
| + distanceModel: {
|
| + model: "inverse",
|
| + rolloff: 1
|
| + },
|
| + startPosition: [0, 0, 1],
|
| + endPosition: [0, 0, 10000],
|
| + })
|
| + .then(done);
|
| + });
|
| +
|
| + audit.defineTask("inverse", function (done) {
|
| + runTest({
|
| + distanceModel: {
|
| + model: "inverse",
|
| + rolloff: 1
|
| + },
|
| + startPosition: [0, 0, 1],
|
| + endPosition: [20000, 20000, 20000],
|
| + errorThreshold: { relativeThreshold: 4.0842e-7}
|
| + })
|
| + .then(done);
|
| + });
|
| +
|
| + audit.defineTask("exponential", function (done) {
|
| + runTest({
|
| + distanceModel: {
|
| + model: "exponential",
|
| + rolloff: 1.5
|
| + },
|
| + startPosition: [0, 0, 1],
|
| + endPosition: [20000, 20000, 20000],
|
| + errorThreshold: { relativeThreshold: 3.4117e-7}
|
| + })
|
| + .then(done);
|
| + });
|
| +
|
| + audit.defineTask("linear", function (done) {
|
| + runTest({
|
| + distanceModel: {
|
| + model: "linear",
|
| + rolloff: 1
|
| + },
|
| + startPosition: [0, 0, 1],
|
| + endPosition: [20000, 20000, 20000],
|
| + errorThreshold: { relativeThreshold: 6.5756e-6}
|
| + })
|
| + .then(done);
|
| + });
|
| +
|
| + audit.defineTask("finish", function (done) {
|
| + finishJSTest();
|
| + done();
|
| + });
|
| +
|
| + audit.runTasks();
|
| +
|
| + function runTest(options) {
|
| + // Output has 5 channels: channels 0 and 1 are for the stereo output of the panner node.
|
| + // Channels 2-5 are the for automation of the x,y,z coordinate so that we have actual
|
| + // coordinates used for the panner automation.
|
| + context = new OfflineAudioContext(5, renderFrames, sampleRate);
|
| +
|
| + // Stereo source for the panner.
|
| + var source = context.createBufferSource();
|
| + source.buffer = createConstantBuffer(context, renderFrames, [1, 2]);
|
| +
|
| + panner = context.createPanner();
|
| + panner.distanceModel = options.distanceModel.model;
|
| + panner.rolloffFactor = options.distanceModel.rolloff;
|
| + panner.panningModel = "equalpower";
|
| + //console.log("distanceModel = " + panner.distanceModel);
|
| +
|
| + // Source and gain node for the z-coordinate calculation.
|
| + var dist = context.createBufferSource();
|
| + dist.buffer = createConstantBuffer(context, 1, 1);
|
| + dist.loop = true;
|
| + var gainX = context.createGain();
|
| + var gainY = context.createGain();
|
| + var gainZ = context.createGain();
|
| + dist.connect(gainX);
|
| + dist.connect(gainY);
|
| + dist.connect(gainZ);
|
| +
|
| + // Set the gain automation to match the z-coordinate automation of the panner.
|
| + gainX.gain.setValueAtTime(options.startPosition[0], 0);
|
| + gainX.gain.linearRampToValueAtTime(options.endPosition[0], 0.75 * renderDuration);
|
| + gainY.gain.setValueAtTime(options.startPosition[1], 0);
|
| + gainY.gain.linearRampToValueAtTime(options.endPosition[1], 0.75 * renderDuration);
|
| + gainZ.gain.setValueAtTime(options.startPosition[2], 0);
|
| + gainZ.gain.linearRampToValueAtTime(options.endPosition[2], 0.75 * renderDuration);
|
| +
|
| + dist.start();
|
| +
|
| + // Splitter and merger to map the panner output and the z-coordinate automation to the
|
| + // correct channels in the destination.
|
| + var splitter = context.createChannelSplitter(2);
|
| + var merger = context.createChannelMerger(5);
|
| +
|
| + source.connect(panner);
|
| + // Split the output of the panner to separate channels
|
| + panner.connect(splitter);
|
| +
|
| + // Merge the panner outputs and the z-coordinate output to the correct destination channels.
|
| + splitter.connect(merger, 0, 0);
|
| + splitter.connect(merger, 1, 1);
|
| + gainX.connect(merger, 0, 2);
|
| + gainY.connect(merger, 0, 3);
|
| + gainZ.connect(merger, 0, 4);
|
| +
|
| + merger.connect(context.destination);
|
| +
|
| + // Initialize starting point of the panner.
|
| + panner.positionX.setValueAtTime(options.startPosition[0], 0);
|
| + panner.positionY.setValueAtTime(options.startPosition[1], 0);
|
| + panner.positionZ.setValueAtTime(options.startPosition[2], 0);
|
| +
|
| + // Automate z coordinate to move away from the listener
|
| + panner.positionX.linearRampToValueAtTime(options.endPosition[0], 0.75 * renderDuration);
|
| + panner.positionY.linearRampToValueAtTime(options.endPosition[1], 0.75 * renderDuration);
|
| + panner.positionZ.linearRampToValueAtTime(options.endPosition[2], 0.75 * renderDuration);
|
| +
|
| + source.start();
|
| +
|
| + // Go!
|
| + return context.startRendering()
|
| + .then(function (renderedBuffer) {
|
| + // Get the panner outputs
|
| + var data0 = renderedBuffer.getChannelData(0);
|
| + var data1 = renderedBuffer.getChannelData(1);
|
| + var xcoord = renderedBuffer.getChannelData(2);
|
| + var ycoord = renderedBuffer.getChannelData(3);
|
| + var zcoord = renderedBuffer.getChannelData(4);
|
| +
|
| + //console.log("data0");
|
| + //console.log(data0);
|
| +
|
| + // We're doing a linear ramp on the Z axis with the equalpower panner, so the equalpower
|
| + // panning gain remains constant. We only need to model the distance effect.
|
| +
|
| + //console.log("zcoord");
|
| + //console.log(zcoord);
|
| +
|
| + // Compute the distance gain
|
| + var distanceGain = new Float32Array(xcoord.length);;
|
| +
|
| + if (panner.distanceModel === "inverse") {
|
| + for (var k = 0; k < distanceGain.length; ++k) {
|
| + distanceGain[k] = inverseDistance(panner, xcoord[k], ycoord[k], zcoord[k])
|
| + }
|
| + } else if (panner.distanceModel === "linear") {
|
| + for (var k = 0; k < distanceGain.length; ++k) {
|
| + distanceGain[k] = linearDistance(panner, xcoord[k], ycoord[k], zcoord[k])
|
| + }
|
| + } else if (panner.distanceModel === "exponential") {
|
| + for (var k = 0; k < distanceGain.length; ++k) {
|
| + distanceGain[k] = exponentialDistance(panner, xcoord[k], ycoord[k], zcoord[k])
|
| + }
|
| + }
|
| +
|
| + //console.log("distanceGain");
|
| + //console.log(distanceGain);
|
| + // Compute the expected result. Since we're on the z-axis, the left and right channels
|
| + // pass through the equalpower panner unchanged. Only need to apply the distance gain.
|
| + var buffer0 = source.buffer.getChannelData(0);
|
| + var buffer1 = source.buffer.getChannelData(1);
|
| +
|
| + var azimuth = new Float32Array(buffer0.length);
|
| +
|
| + for (var k = 0; k < data0.length; ++k) {
|
| + azimuth[k] = calculateAzimuth(
|
| + [xcoord[k], ycoord[k], zcoord[k]], [context.listener.positionX.value,
|
| + context.listener.positionY.value,
|
| + context.listener.positionZ.value
|
| + ], [context.listener.forwardX.value,
|
| + context.listener.forwardY.value,
|
| + context.listener.forwardZ.value
|
| + ], [context.listener.upX.value,
|
| + context.listener.upY.value,
|
| + context.listener.upZ.value
|
| + ]);
|
| + }
|
| +
|
| + var expected = applyPanner(azimuth, buffer0, buffer1, 2);
|
| + var expected0 = expected.left;
|
| + var expected1 = expected.right;
|
| +
|
| + for (var k = 0; k < expected0.length; ++k) {
|
| + expected0[k] *= distanceGain[k];
|
| + expected1[k] *= distanceGain[k];
|
| + }
|
| +
|
| + var info = options.distanceModel.model + ", rolloff: " + options.distanceModel.rolloff;
|
| + var prefix = "[" + options.startPosition[0] + ", ";
|
| + prefix += options.startPosition[1] + ", ";
|
| + prefix += options.startPosition[2];
|
| + prefix += "] -> [";
|
| + prefix += options.endPosition[0] + ", ";
|
| + prefix += options.endPosition[1] + ", ";
|
| + prefix += options.endPosition[2] + "]: ";
|
| +
|
| +
|
| +
|
| + Should(prefix + "distanceModel: " + info + ", left channel", data0, {
|
| + verbose: true
|
| + })
|
| + .beCloseToArray(expected0, options.errorThreshold || 0);
|
| + Should(prefix + "distanceModel: " + info + ", right channel", data1, {
|
| + verbose: true
|
| + })
|
| + .beCloseToArray(expected1, options.errorThreshold || 0);
|
| + });
|
| + }
|
| + </script>
|
| + </body>
|
| +</html>
|
|
|