Apply layout-test-tidy to LayoutTests/webaudio

third_party/WebKit/LayoutTests/webaudio/resources/realtimeanalyser-testing.js

Index: third_party/WebKit/LayoutTests/webaudio/resources/realtimeanalyser-testing.js
diff --git a/third_party/WebKit/LayoutTests/webaudio/resources/realtimeanalyser-testing.js b/third_party/WebKit/LayoutTests/webaudio/resources/realtimeanalyser-testing.js
index 7265827995cf24fc47f0678e340a2c0e9bb73fb0..17441d81213817f71355eef6a96356c7093a27e1 100644
--- a/third_party/WebKit/LayoutTests/webaudio/resources/realtimeanalyser-testing.js
+++ b/third_party/WebKit/LayoutTests/webaudio/resources/realtimeanalyser-testing.js
@@ -1,124 +1,120 @@
 function createGraph(options) {
-    var context = new OfflineAudioContext(1, renderFrames, sampleRate);
+  let context = new OfflineAudioContext(1, renderFrames, sampleRate);
 
-    // Use a default sawtooth wave for the test signal.  We want something is a
-    // bit more harmonic content than a sine wave, but otherwise it doesn't
-    // really matter.
-    var src = context.createOscillator();
-    src.type = "sawtooth";
+  // Use a default sawtooth wave for the test signal.  We want something is a
+  // bit more harmonic content than a sine wave, but otherwise it doesn't
+  // really matter.
+  let src = context.createOscillator();
+  src.type = 'sawtooth';
 
-    var analyser = context.createAnalyser();
-    analyser.fftSize = Math.pow(2, options.order);
-    analyser.smoothingTimeConstant = options.smoothing || 0;
-    analyser.minDecibels = options.minDecibels || analyser.minDecibels;
+  let analyser = context.createAnalyser();
+  analyser.fftSize = Math.pow(2, options.order);
+  analyser.smoothingTimeConstant = options.smoothing || 0;
+  analyser.minDecibels = options.minDecibels || analyser.minDecibels;
 
-    // Connect the nodes together and start the source.
-    src.connect(analyser);
-    analyser.connect(context.destination);
+  // Connect the nodes together and start the source.
+  src.connect(analyser);
+  analyser.connect(context.destination);
 
-    src.start();
+  src.start();
 
-    return {
-        context: context,
-        analyser: analyser,
-    };
+  return {
+    context: context,
+    analyser: analyser,
+  };
 }
 
 // Apply the windowing function, in place.
 function applyWindow(timeData) {
-    var length = timeData.length;
-    var alpha = 0.16;
-    var a0 = (1 - alpha) / 2;
-    var a1 = 0.5;
-    var a2 = alpha / 2;
-    var omega = 2 * Math.PI / length;
-
-    for (var k = 0; k < length; ++k) {
-        var w = a0 - a1 * Math.cos(omega * k) + a2 * Math.cos(2 * omega *
-            k);
-        timeData[k] *= w;
-    }
+  let length = timeData.length;
+  let alpha = 0.16;
+  let a0 = (1 - alpha) / 2;
+  let a1 = 0.5;
+  let a2 = alpha / 2;
+  let omega = 2 * Math.PI / length;
+
+  for (let k = 0; k < length; ++k) {
+    let w = a0 - a1 * Math.cos(omega * k) + a2 * Math.cos(2 * omega * k);
+    timeData[k] *= w;
+  }
 }
 
 // Compute the FFT magnitude of |timeData|.
 function computeFFTMagnitude(timeData, order) {
-    // Compute the expected frequency response.  First, apply the window.
-    // Compute the forward FFT.
-    applyWindow(timeData);
-
-    var fft = new FFT(order);
-    var fftSize = Math.pow(2, order);
-    var fftr = new Float32Array(fftSize);
-    var ffti = new Float32Array(fftSize);
-    fft.rfft(timeData, fftr, ffti);
-
-    // Compute the magnitude of the expected result.
-    var expected = new Float32Array(fftSize / 2);
-    for (var k = 0; k < expected.length; ++k)
-        expected[k] = Math.hypot(fftr[k], ffti[k]) / fftSize;
-
-    return expected;
+  // Compute the expected frequency response.  First, apply the window.
+  // Compute the forward FFT.
+  applyWindow(timeData);
+
+  let fft = new FFT(order);
+  let fftSize = Math.pow(2, order);
+  let fftr = new Float32Array(fftSize);
+  let ffti = new Float32Array(fftSize);
+  fft.rfft(timeData, fftr, ffti);
+
+  // Compute the magnitude of the expected result.
+  let expected = new Float32Array(fftSize / 2);
+  for (let k = 0; k < expected.length; ++k)
+    expected[k] = Math.hypot(fftr[k], ffti[k]) / fftSize;
+
+  return expected;
 }
 
 // Convert dB value to linear value.
 function dbToLinear(x) {
-    return Math.pow(10, x / 20);
+  return Math.pow(10, x / 20);
 }
 
 // Convert linear value to dB.
 function linearToDb(x) {
-    return 20 * Math.log10(x);
+  return 20 * Math.log10(x);
 }
 
 // Clip the FFT magnitude so that values below |limit| are set to |limit|.  The
 // FFT must be in dB.  The input array is clipped in place.
 function clipMagnitude(limit, x) {
-    for (var k = 0; k < x.length; ++k)
-        x[k] = Math.max(limit, x[k])
+  for (let k = 0; k < x.length; ++k)
+    x[k] = Math.max(limit, x[k])
 }
 
-// Compare the float frequency data in dB, |freqData|, against the expected value,
-// |expectedFreq|. |options| is a dictionary with the property |floatRelError| for setting the
-// comparison threshold and |precision| for setting the printed precision.  Setting |precision| to
-// |undefined| means printing all digits.  If |options.precision} doesn't exist, use a default
+// Compare the float frequency data in dB, |freqData|, against the expected
+// value, |expectedFreq|. |options| is a dictionary with the property
+// |floatRelError| for setting the comparison threshold and |precision| for
+// setting the printed precision.  Setting |precision| to |undefined| means
+// printing all digits.  If |options.precision} doesn't exist, use a default
 // precision.
 function compareFloatFreq(message, freqData, expectedFreq, should, options) {
-    // Any dB values below -100 is pretty much in the noise due to round-off in
-    // the (single-precisiion) FFT, so just clip those values to -100.
-    var lowerLimit = -100;
-    clipMagnitude(lowerLimit, expectedFreq);
-
-    var actual = freqData;
-    clipMagnitude(lowerLimit, actual);
-
-    var success = should(actual, message)
-        .beCloseToArray(expectedFreq, {
-            relativeThreshold: options.floatRelError || 0,
-        });
-
-    return {
-        success: success,
-        expected: expectedFreq
-    };
+  // Any dB values below -100 is pretty much in the noise due to round-off in
+  // the (single-precisiion) FFT, so just clip those values to -100.
+  let lowerLimit = -100;
+  clipMagnitude(lowerLimit, expectedFreq);
+
+  let actual = freqData;
+  clipMagnitude(lowerLimit, actual);
+
+  let success = should(actual, message).beCloseToArray(expectedFreq, {
+    relativeThreshold: options.floatRelError || 0,
+  });
+
+  return {success: success, expected: expectedFreq};
 }
 
 // Apply FFT smoothing, accumulating the result in |oldFreqData| with the new
 // data in |newFreqData|.  The smoothing time constant is |smoothingTime|
 function smoothFFT(oldFreqData, newFreqData, smoothingTime) {
-    for (var k = 0; k < oldFreqData.length; ++k) {
-        var value = smoothingTime * oldFreqData[k] + (1 - smoothingTime) *
-            newFreqData[k];
-        oldFreqData[k] = value;
-    }
+  for (let k = 0; k < oldFreqData.length; ++k) {
+    let value =
+        smoothingTime * oldFreqData[k] + (1 - smoothingTime) * newFreqData[k];
+    oldFreqData[k] = value;
+  }
 }
 
 // Convert the float frequency data, |floatFreqData|, to byte values using the
 // dB limits |minDecibels| and |maxDecibels|.  The new byte array is returned.
 function convertFloatToByte(floatFreqData, minDecibels, maxDecibels) {
-    var scale = 255 / (maxDecibels - minDecibels);
+  let scale = 255 / (maxDecibels - minDecibels);
 
-    return floatFreqData.map(function (x) {
-        var value = Math.floor(scale * (x - minDecibels));
-        return Math.min(255, Math.max(0, value));
-    });
+  return floatFreqData.map(function(x) {
+    let value = Math.floor(scale * (x - minDecibels));
+    return Math.min(255, Math.max(0, value));
+  });
 }