| Index: third_party/WebKit/LayoutTests/webaudio/panner-automation-position.html
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| diff --git a/third_party/WebKit/LayoutTests/webaudio/panner-automation-position.html b/third_party/WebKit/LayoutTests/webaudio/panner-automation-position.html
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| deleted file mode 100644
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| index 7c62137f53457b0f27983ae1442c077888c95614..0000000000000000000000000000000000000000
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| --- a/third_party/WebKit/LayoutTests/webaudio/panner-automation-position.html
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| +++ /dev/null
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| @@ -1,267 +0,0 @@
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| -<!doctype html>
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| -<html>
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| - <head>
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| - <script src="../resources/js-test.js"></script>
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| - <script src="resources/compatibility.js"></script>
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| - <script src="resources/audit-util.js"></script>
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| - <script src="resources/audio-testing.js"></script>
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| - <script src="resources/panner-formulas.js"></script>
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| - <title>Test Automation of PannerNode Positions</title>
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| - </head>
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| -
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| - <body>
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| - <script>
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| - description("Test Automation of PannerNode Positions.");
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| - window.jsTestIsAsync = true;
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| -
|
| - var sampleRate = 48000;
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| - // These tests are quite slow, so don't run for many frames. 256 frames should be enough to
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| - // demonstrate that automations are working.
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| - var renderFrames = 256;
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| - var renderDuration = renderFrames / sampleRate;
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| -
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| - var context;
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| - var panner;
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| -
|
| - var audit = Audit.createTaskRunner();
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| -
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| - // Set of tests for the panner node with automations applied to the position of the source.
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| - var testConfigs = [{
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| - // Distance model parameters for the panner
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| - distanceModel: {
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| - model: "inverse",
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| - rolloff: 1
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| - },
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| - // Initial location of the source
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| - startPosition: [0, 0, 1],
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| - // Final position of the source. For this test, we only want to move on the z axis which
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| - // doesn't change the azimuth angle.
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| - endPosition: [0, 0, 10000],
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| - }, {
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| - distanceModel: {
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| - model: "inverse",
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| - rolloff: 1
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| - },
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| - startPosition: [0, 0, 1],
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| - // An essentially random end position, but it should be such that azimuth angle changes as
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| - // we move from the start to the end.
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| - endPosition: [20000, 30000, 10000],
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| - errorThreshold: [{
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| - // Error threshold for 1-channel case
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| - relativeThreshold: 4.8124e-7
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| - }, {
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| - // Error threshold for 2-channel case
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| - relativeThreshold: 4.3267e-7
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| - }],
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| - }, {
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| - distanceModel: {
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| - model: "exponential",
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| - rolloff: 1.5
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| - },
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| - startPosition: [0, 0, 1],
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| - endPosition: [20000, 30000, 10000],
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| - errorThreshold: [{
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| - relativeThreshold: 5.0783e-7
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| - }, {
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| - relativeThreshold: 5.2180e-7
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| - }]
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| - }, {
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| - distanceModel: {
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| - model: "linear",
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| - rolloff: 1
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| - },
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| - startPosition: [0, 0, 1],
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| - endPosition: [20000, 30000, 10000],
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| - errorThreshold: [{
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| - relativeThreshold: 6.5324e-6
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| - }, {
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| - relativeThreshold: 6.5756e-6
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| - }]
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| - }];
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| -
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| - for (var k = 0; k < testConfigs.length; ++k) {
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| - var config = testConfigs[k];
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| - var tester = function (c, channelCount) {
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| - return function (done) {
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| - runTest(c, channelCount).then(done);
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| - }
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| - };
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| -
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| - var baseTestName = config.distanceModel.model + " rolloff: " + config.distanceModel.rolloff;
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| -
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| - // Define tasks for both 1-channel and 2-channel
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| - audit.defineTask(k + ": 1-channel " + baseTestName, tester(config, 1));
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| - audit.defineTask(k + ": 2-channel " + baseTestName, tester(config, 2));
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| - }
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| -
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| - audit.defineTask("finish", function (done) {
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| - finishJSTest();
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| - done();
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| - });
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| -
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| - audit.runTasks();
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| -
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| - function runTest(options, channelCount) {
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| - // Output has 5 channels: channels 0 and 1 are for the stereo output of the panner node.
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| - // Channels 2-5 are the for automation of the x,y,z coordinate so that we have actual
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| - // coordinates used for the panner automation.
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| - context = new OfflineAudioContext(5, renderFrames, sampleRate);
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| -
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| - // Stereo source for the panner.
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| - var source = context.createBufferSource();
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| - source.buffer = createConstantBuffer(context, renderFrames, channelCount == 1 ? 1 : [1, 2]);
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| -
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| - panner = context.createPanner();
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| - panner.distanceModel = options.distanceModel.model;
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| - panner.rolloffFactor = options.distanceModel.rolloff;
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| - panner.panningModel = "equalpower";
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| -
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| - // Source and gain node for the z-coordinate calculation.
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| - var dist = context.createBufferSource();
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| - dist.buffer = createConstantBuffer(context, 1, 1);
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| - dist.loop = true;
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| - var gainX = context.createGain();
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| - var gainY = context.createGain();
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| - var gainZ = context.createGain();
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| - dist.connect(gainX);
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| - dist.connect(gainY);
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| - dist.connect(gainZ);
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| -
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| - // Set the gain automation to match the z-coordinate automation of the panner.
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| -
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| - // End the automation some time before the end of the rendering so we can verify that
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| - // automation has the correct end time and value.
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| - var endAutomationTime = 0.75 * renderDuration;
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| -
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| - gainX.gain.setValueAtTime(options.startPosition[0], 0);
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| - gainX.gain.linearRampToValueAtTime(options.endPosition[0], endAutomationTime);
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| - gainY.gain.setValueAtTime(options.startPosition[1], 0);
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| - gainY.gain.linearRampToValueAtTime(options.endPosition[1], endAutomationTime);
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| - gainZ.gain.setValueAtTime(options.startPosition[2], 0);
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| - gainZ.gain.linearRampToValueAtTime(options.endPosition[2], endAutomationTime);
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| -
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| - dist.start();
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| -
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| - // Splitter and merger to map the panner output and the z-coordinate automation to the
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| - // correct channels in the destination.
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| - var splitter = context.createChannelSplitter(2);
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| - var merger = context.createChannelMerger(5);
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| -
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| - source.connect(panner);
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| - // Split the output of the panner to separate channels
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| - panner.connect(splitter);
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| -
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| - // Merge the panner outputs and the z-coordinate output to the correct destination channels.
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| - splitter.connect(merger, 0, 0);
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| - splitter.connect(merger, 1, 1);
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| - gainX.connect(merger, 0, 2);
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| - gainY.connect(merger, 0, 3);
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| - gainZ.connect(merger, 0, 4);
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| -
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| - merger.connect(context.destination);
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| -
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| - // Initialize starting point of the panner.
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| - panner.positionX.setValueAtTime(options.startPosition[0], 0);
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| - panner.positionY.setValueAtTime(options.startPosition[1], 0);
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| - panner.positionZ.setValueAtTime(options.startPosition[2], 0);
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| -
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| - // Automate z coordinate to move away from the listener
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| - panner.positionX.linearRampToValueAtTime(options.endPosition[0], 0.75 * renderDuration);
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| - panner.positionY.linearRampToValueAtTime(options.endPosition[1], 0.75 * renderDuration);
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| - panner.positionZ.linearRampToValueAtTime(options.endPosition[2], 0.75 * renderDuration);
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| -
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| - source.start();
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| -
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| - // Go!
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| - return context.startRendering()
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| - .then(function (renderedBuffer) {
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| - // Get the panner outputs
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| - var data0 = renderedBuffer.getChannelData(0);
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| - var data1 = renderedBuffer.getChannelData(1);
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| - var xcoord = renderedBuffer.getChannelData(2);
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| - var ycoord = renderedBuffer.getChannelData(3);
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| - var zcoord = renderedBuffer.getChannelData(4);
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| -
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| - // We're doing a linear ramp on the Z axis with the equalpower panner, so the equalpower
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| - // panning gain remains constant. We only need to model the distance effect.
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| -
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| - // Compute the distance gain
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| - var distanceGain = new Float32Array(xcoord.length);;
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| -
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| - if (panner.distanceModel === "inverse") {
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| - for (var k = 0; k < distanceGain.length; ++k) {
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| - distanceGain[k] = inverseDistance(panner, xcoord[k], ycoord[k], zcoord[k])
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| - }
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| - } else if (panner.distanceModel === "linear") {
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| - for (var k = 0; k < distanceGain.length; ++k) {
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| - distanceGain[k] = linearDistance(panner, xcoord[k], ycoord[k], zcoord[k])
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| - }
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| - } else if (panner.distanceModel === "exponential") {
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| - for (var k = 0; k < distanceGain.length; ++k) {
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| - distanceGain[k] = exponentialDistance(panner, xcoord[k], ycoord[k], zcoord[k])
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| - }
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| - }
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| -
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| - // Compute the expected result. Since we're on the z-axis, the left and right channels
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| - // pass through the equalpower panner unchanged. Only need to apply the distance gain.
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| - var buffer0 = source.buffer.getChannelData(0);
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| - var buffer1 = channelCount == 2 ? source.buffer.getChannelData(1) : buffer0;
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| -
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| - var azimuth = new Float32Array(buffer0.length);
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| -
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| - for (var k = 0; k < data0.length; ++k) {
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| - azimuth[k] = calculateAzimuth([
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| - xcoord[k],
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| - ycoord[k],
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| - zcoord[k]
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| - ], [
|
| - context.listener.positionX.value,
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| - context.listener.positionY.value,
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| - context.listener.positionZ.value
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| - ], [
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| - context.listener.forwardX.value,
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| - context.listener.forwardY.value,
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| - context.listener.forwardZ.value
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| - ], [
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| - context.listener.upX.value,
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| - context.listener.upY.value,
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| - context.listener.upZ.value
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| - ]);
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| - }
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| -
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| - var expected = applyPanner(azimuth, buffer0, buffer1, channelCount);
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| - var expected0 = expected.left;
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| - var expected1 = expected.right;
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| -
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| - for (var k = 0; k < expected0.length; ++k) {
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| - expected0[k] *= distanceGain[k];
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| - expected1[k] *= distanceGain[k];
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| - }
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| -
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| - var info = options.distanceModel.model + ", rolloff: " + options.distanceModel.rolloff;
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| - var prefix = channelCount + "-channel "
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| - + "[" + options.startPosition[0] + ", "
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| - + options.startPosition[1] + ", "
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| - + options.startPosition[2] + "] -> ["
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| - + options.endPosition[0] + ", "
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| - + options.endPosition[1] + ", "
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| - + options.endPosition[2] + "]: ";
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| -
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| - var errorThreshold = 0;
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| -
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| - if (options.errorThreshold)
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| - errorThreshold = options.errorThreshold[channelCount - 1]
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| -
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| - Should(prefix + "distanceModel: " + info + ", left channel", data0, {
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| - precision: 5
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| - })
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| - .beCloseToArray(expected0, errorThreshold);
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| - Should(prefix + "distanceModel: " + info + ", right channel", data1, {
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| - precision: 5
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| - })
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| - .beCloseToArray(expected1, errorThreshold);
|
| - });
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| - }
|
| - </script>
|
| - </body>
|
| -</html>
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|
|
Chromium Code Reviews
Issue 2581463002:
Refactor WebAudio test directory (Closed)
