Refactor audioparam-testing.js

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

-var sampleRate = 44100;
-
-// Information about the starting/ending times and starting/ending values for
-// each time interval.
-var timeValueInfo;
-
-// The difference between starting values between each time interval.
-var startingValueDelta;
-
-// For any automation function that has an end or target value, the end value is
-// based the starting value of the time interval.  The starting value will be
-// increased or decreased by |startEndValueChange|. We choose half of
-// |startingValueDelta| so that the ending value will be distinct from the
-// starting value for next time interval.  This allows us to detect where the
-// ramp begins and ends.
-var startEndValueChange;
-
-// Default threshold to use for detecting discontinuities that should appear at
-// each time interval.
-var discontinuityThreshold;
-
-// Time interval between value changes.  It is best if 1 / numberOfTests is not
-// close to timeInterval.
-var timeInterval = .03;
-
-// Some suitable time constant so that we can see a significant change over a
-// timeInterval.  This is only needed by setTargetAtTime() which needs a time
-// constant.
-var timeConstant = timeInterval / 3;
-
-var gainNode;
-
-var context;
-
-// Make sure we render long enough to capture all of our test data.
-function renderLength(numberOfTests) {
-  return timeToSampleFrame((numberOfTests + 1) * timeInterval, sampleRate);
-}
-
-// Create a constant reference signal with the given |value|.  Basically the
-// same as |createConstantBuffer|, but with the parameters to match the other
-// create functions.  The |endValue| is ignored.
-function createConstantArray(startTime, endTime, value, endValue, sampleRate) {
-  var startFrame = timeToSampleFrame(startTime, sampleRate);
-  var endFrame = timeToSampleFrame(endTime, sampleRate);
-  var length = endFrame - startFrame;
-
-  var buffer = createConstantBuffer(context, length, value);
-
-  return buffer.getChannelData(0);
-}
-
-function getStartEndFrames(startTime, endTime, sampleRate) {
-  // Start frame is the ceiling of the start time because the ramp starts at or
-  // after the sample frame.  End frame is the ceiling because it's the
-  // exclusive ending frame of the automation.
-  var startFrame = Math.ceil(startTime * sampleRate);
-  var endFrame = Math.ceil(endTime * sampleRate);
-
-  return {startFrame: startFrame, endFrame: endFrame};
-}
-
-// Create a linear ramp starting at |startValue| and ending at |endValue|.  The
-// ramp starts at time |startTime| and ends at |endTime|.  (The start and end
-// times are only used to compute how many samples to return.)
-function createLinearRampArray(
-    startTime, endTime, startValue, endValue, sampleRate) {
-  var frameInfo = getStartEndFrames(startTime, endTime, sampleRate);
-  var startFrame = frameInfo.startFrame;
-  var endFrame = frameInfo.endFrame;
-  var length = endFrame - startFrame;
-  var array = new Array(length);
-
-  var step =
-      Math.fround((endValue - startValue) / (endTime - startTime) / sampleRate);
-  var start = Math.fround(
-      startValue +
-      (endValue - startValue) * (startFrame / sampleRate - startTime) /
-          (endTime - startTime));
-
-  var slope = (endValue - startValue) / (endTime - startTime);
-
-  // v(t) = v0 + (v1 - v0)*(t-t0)/(t1-t0)
-  for (k = 0; k < length; ++k) {
-    // array[k] = Math.fround(start + k * step);
-    var t = (startFrame + k) / sampleRate;
-    array[k] = startValue + slope * (t - startTime);
-  }
-
-  return array;
-}
-
-// Create an exponential ramp starting at |startValue| and ending at |endValue|.
-// The ramp starts at time |startTime| and ends at |endTime|.  (The start and
-// end times are only used to compute how many samples to return.)
-function createExponentialRampArray(
-    startTime, endTime, startValue, endValue, sampleRate) {
-  var deltaTime = endTime - startTime;
-
-  var frameInfo = getStartEndFrames(startTime, endTime, sampleRate);
-  var startFrame = frameInfo.startFrame;
-  var endFrame = frameInfo.endFrame;
-  var length = endFrame - startFrame;
-  var array = new Array(length);
-
-  var ratio = endValue / startValue;
-
-  // v(t) = v0*(v1/v0)^((t-t0)/(t1-t0))
-  for (var k = 0; k < length; ++k) {
-    var t = Math.fround((startFrame + k) / sampleRate);
-    array[k] =
-        Math.fround(startValue * Math.pow(ratio, (t - startTime) / deltaTime));
-  }
-
-  return array;
-}
-
-function discreteTimeConstantForSampleRate(timeConstant, sampleRate) {
-  return 1 - Math.exp(-1 / (sampleRate * timeConstant));
-}
-
-// Create a signal that starts at |startValue| and exponentially approaches the
-// target value of |targetValue|, using a time constant of |timeConstant|.  The
-// ramp starts at time |startTime| and ends at |endTime|.  (The start and end
-// times are only used to compute how many samples to return.)
-function createExponentialApproachArray(
-    startTime, endTime, startValue, targetValue, sampleRate, timeConstant) {
-  var startFrameFloat = startTime * sampleRate;
-  var frameInfo = getStartEndFrames(startTime, endTime, sampleRate);
-  var startFrame = frameInfo.startFrame;
-  var endFrame = frameInfo.endFrame;
-  var length = Math.floor(endFrame - startFrame);
-  var array = new Array(length);
-  var c = discreteTimeConstantForSampleRate(timeConstant, sampleRate);
-
-  var delta = startValue - targetValue;
-
-  // v(t) = v1 + (v0 - v1) * exp(-(t-t0)/tau)
-  for (var k = 0; k < length; ++k) {
-    var t = (startFrame + k) / sampleRate;
-    var value = targetValue + delta * Math.exp(-(t - startTime) / timeConstant);
-    array[k] = value;
-  }
-
-  return array;
-}
-
-// Create a sine wave of the specified duration.
-function createReferenceSineArray(
-    startTime, endTime, startValue, endValue, sampleRate) {
-  // Ignore |startValue| and |endValue| for the sine wave.
-  var curve = createSineWaveArray(
-      endTime - startTime, freqHz, sineAmplitude, sampleRate);
-  // Sample the curve appropriately.
-  var frameInfo = getStartEndFrames(startTime, endTime, sampleRate);
-  var startFrame = frameInfo.startFrame;
-  var endFrame = frameInfo.endFrame;
-  var length = Math.floor(endFrame - startFrame);
-  var array = new Array(length);
-
-  // v(t) = linearly interpolate between V[k] and V[k + 1] where k =
-  // floor((N-1)/duration*(t - t0))
-  var f = (length - 1) / (endTime - startTime);
-
-  for (var k = 0; k < length; ++k) {
-    var t = (startFrame + k) / sampleRate;
-    var indexFloat = f * (t - startTime);
-    var index = Math.floor(indexFloat);
-    if (index + 1 < length) {
-      var v0 = curve[index];
-      var v1 = curve[index + 1];
-      array[k] = v0 + (v1 - v0) * (indexFloat - index);
+(function(global) {
+
+  // Information about the starting/ending times and starting/ending values for
+  // each time interval.
+  let timeValueInfo;
+
+  // The difference between starting values between each time interval.
+  let startingValueDelta;
+
+  // For any automation function that has an end or target value, the end value
+  // is based the starting value of the time interval.  The starting value will
+  // be increased or decreased by |startEndValueChange|. We choose half of
+  // |startingValueDelta| so that the ending value will be distinct from the
+  // starting value for next time interval.  This allows us to detect where the
+  // ramp begins and ends.
+  let startEndValueChange;
+
+  // Default threshold to use for detecting discontinuities that should appear
+  // at each time interval.
+  let discontinuityThreshold;
+
+  // Time interval between value changes.  It is best if 1 / numberOfTests is
+  // not close to timeInterval.
+  let timeIntervalInternal = .03;
+
+  let context;
+
+  // Make sure we render long enough to capture all of our test data.
+  function renderLength(numberOfTests) {
+    return timeToSampleFrame((numberOfTests + 1) * timeInterval, sampleRate);
+  }
+
+  // Create a constant reference signal with the given |value|.  Basically the
+  // same as |createConstantBuffer|, but with the parameters to match the other
+  // create functions.  The |endValue| is ignored.
+  function createConstantArray(
+      startTime, endTime, value, endValue, sampleRate) {
+    let startFrame = timeToSampleFrame(startTime, sampleRate);
+    let endFrame = timeToSampleFrame(endTime, sampleRate);
+    let length = endFrame - startFrame;
+
+    let buffer = createConstantBuffer(context, length, value);
+
+    return buffer.getChannelData(0);
+  }
+
+  function getStartEndFrames(startTime, endTime, sampleRate) {
+    // Start frame is the ceiling of the start time because the ramp starts at
+    // or after the sample frame.  End frame is the ceiling because it's the
+    // exclusive ending frame of the automation.
+    let startFrame = Math.ceil(startTime * sampleRate);
+    let endFrame = Math.ceil(endTime * sampleRate);
+
+    return {startFrame: startFrame, endFrame: endFrame};
+  }
+
+  // Create a linear ramp starting at |startValue| and ending at |endValue|. The
+  // ramp starts at time |startTime| and ends at |endTime|.  (The start and end
+  // times are only used to compute how many samples to return.)
+  function createLinearRampArray(
+      startTime, endTime, startValue, endValue, sampleRate) {
+    let frameInfo = getStartEndFrames(startTime, endTime, sampleRate);
+    let startFrame = frameInfo.startFrame;
+    let endFrame = frameInfo.endFrame;
+    let length = endFrame - startFrame;
+    let array = new Array(length);
+
+    let step = Math.fround(
+        (endValue - startValue) / (endTime - startTime) / sampleRate);
+    let start = Math.fround(
+        startValue +
+        (endValue - startValue) * (startFrame / sampleRate - startTime) /
+            (endTime - startTime));
+
+    let slope = (endValue - startValue) / (endTime - startTime);
+
+    // v(t) = v0 + (v1 - v0)*(t-t0)/(t1-t0)
+    for (k = 0; k < length; ++k) {
+      // array[k] = Math.fround(start + k * step);
+      let t = (startFrame + k) / sampleRate;
+      array[k] = startValue + slope * (t - startTime);
+    }
+
+    return array;
+  }
+
+  // Create an exponential ramp starting at |startValue| and ending at
+  // |endValue|. The ramp starts at time |startTime| and ends at |endTime|.
+  // (The start and end times are only used to compute how many samples to
+  // return.)
+  function createExponentialRampArray(
+      startTime, endTime, startValue, endValue, sampleRate) {
+    let deltaTime = endTime - startTime;
+
+    let frameInfo = getStartEndFrames(startTime, endTime, sampleRate);
+    let startFrame = frameInfo.startFrame;
+    let endFrame = frameInfo.endFrame;
+    let length = endFrame - startFrame;
+    let array = new Array(length);
+
+    let ratio = endValue / startValue;
+
+    // v(t) = v0*(v1/v0)^((t-t0)/(t1-t0))
+    for (let k = 0; k < length; ++k) {
+      let t = Math.fround((startFrame + k) / sampleRate);
+      array[k] = Math.fround(
+          startValue * Math.pow(ratio, (t - startTime) / deltaTime));
+    }
+
+    return array;
+  }
+
+  function discreteTimeConstantForSampleRate(timeConstant, sampleRate) {
+    return 1 - Math.exp(-1 / (sampleRate * timeConstant));
+  }
+
+  // Create a signal that starts at |startValue| and exponentially approaches
+  // the target value of |targetValue|, using a time constant of |timeConstant|.
+  // The ramp starts at time |startTime| and ends at |endTime|.  (The start and
+  // end times are only used to compute how many samples to return.)
+  function createExponentialApproachArray(
+      startTime, endTime, startValue, targetValue, sampleRate, timeConstant) {
+    let startFrameFloat = startTime * sampleRate;
+    let frameInfo = getStartEndFrames(startTime, endTime, sampleRate);
+    let startFrame = frameInfo.startFrame;
+    let endFrame = frameInfo.endFrame;
+    let length = Math.floor(endFrame - startFrame);
+    let array = new Array(length);
+    let c = discreteTimeConstantForSampleRate(timeConstant, sampleRate);
+
+    let delta = startValue - targetValue;
+
+    // v(t) = v1 + (v0 - v1) * exp(-(t-t0)/tau)
+    for (let k = 0; k < length; ++k) {
+      let t = (startFrame + k) / sampleRate;
+      let value =
+          targetValue + delta * Math.exp(-(t - startTime) / timeConstant);
+      array[k] = value;
+    }
+
+    return array;
+  }
+
+  // Create a sine wave of the specified duration.
+  function createReferenceSineArray(
+      startTime, endTime, startValue, endValue, sampleRate) {
+    // Ignore |startValue| and |endValue| for the sine wave.
+    let curve = createSineWaveArray(
+        endTime - startTime, freqHz, sineAmplitude, sampleRate);
+    // Sample the curve appropriately.
+    let frameInfo = getStartEndFrames(startTime, endTime, sampleRate);
+    let startFrame = frameInfo.startFrame;
+    let endFrame = frameInfo.endFrame;
+    let length = Math.floor(endFrame - startFrame);
+    let array = new Array(length);
+
+    // v(t) = linearly interpolate between V[k] and V[k + 1] where k =
+    // floor((N-1)/duration*(t - t0))
+    let f = (length - 1) / (endTime - startTime);
+
+    for (let k = 0; k < length; ++k) {
+      let t = (startFrame + k) / sampleRate;
+      let indexFloat = f * (t - startTime);
+      let index = Math.floor(indexFloat);
+      if (index + 1 < length) {
+        let v0 = curve[index];
+        let v1 = curve[index + 1];
+        array[k] = v0 + (v1 - v0) * (indexFloat - index);
+      } else {
+        array[k] = curve[length - 1];
+      }
+    }
+
+    return array;
+  }
+
+  // Create a sine wave of the given frequency and amplitude.  The sine wave is
+  // offset by half the amplitude so that result is always positive.
+  function createSineWaveArray(durationSeconds, freqHz, amplitude, sampleRate) {
+    let length = timeToSampleFrame(durationSeconds, sampleRate);
+    let signal = new Float32Array(length);
+    let omega = 2 * Math.PI * freqHz / sampleRate;
+    let halfAmplitude = amplitude / 2;
+
+    for (let k = 0; k < length; ++k) {
+      signal[k] = halfAmplitude + halfAmplitude * Math.sin(omega * k);
+    }
+
+    return signal;
+  }
+
+  // Return the difference between the starting value and the ending value for
+  // time interval |timeIntervalIndex|.  We alternate between an end value that
+  // is above or below the starting value.
+  function endValueDelta(timeIntervalIndex) {
+    if (timeIntervalIndex & 1) {
+      return -startEndValueChange;
     } else {
-      array[k] = curve[length - 1];
-    }
-  }
-
-  return array;
-}
-
-// Create a sine wave of the given frequency and amplitude.  The sine wave is
-// offset by half the amplitude so that result is always positive.
-function createSineWaveArray(durationSeconds, freqHz, amplitude, sampleRate) {
-  var length = timeToSampleFrame(durationSeconds, sampleRate);
-  var signal = new Float32Array(length);
-  var omega = 2 * Math.PI * freqHz / sampleRate;
-  var halfAmplitude = amplitude / 2;
-
-  for (var k = 0; k < length; ++k) {
-    signal[k] = halfAmplitude + halfAmplitude * Math.sin(omega * k);
-  }
-
-  return signal;
-}
-
-// Return the difference between the starting value and the ending value for
-// time interval |timeIntervalIndex|.  We alternate between an end value that is
-// above or below the starting value.
-function endValueDelta(timeIntervalIndex) {
-  if (timeIntervalIndex & 1) {
-    return -startEndValueChange;
-  } else {
-    return startEndValueChange;
-  }
-}
-
-// Relative error metric
-function relativeErrorMetric(actual, expected) {
-  return (actual - expected) / Math.abs(expected);
-}
-
-// Difference metric
-function differenceErrorMetric(actual, expected) {
-  return actual - expected;
-}
-
-// Return the difference between the starting value at |timeIntervalIndex| and
-// the starting value at the next time interval.  Since we started at a large
-// initial value, we decrease the value at each time interval.
-function valueUpdate(timeIntervalIndex) {
-  return -startingValueDelta;
-}
-
-// Compare a section of the rendered data against our expected signal.
-function comparePartialSignals(
-    should, rendered, expectedFunction, startTime, endTime, valueInfo,
-    sampleRate, errorMetric) {
-  var startSample = timeToSampleFrame(startTime, sampleRate);
-  var expected = expectedFunction(
-      startTime, endTime, valueInfo.startValue, valueInfo.endValue, sampleRate,
-      timeConstant);
-
-  var n = expected.length;
-  var maxError = -1;
-  var maxErrorIndex = -1;
-
-  for (var k = 0; k < n; ++k) {
-    // Make sure we don't pass these tests because a NaN has been generated in
-    // either the
-    // rendered data or the reference data.
-    if (!isValidNumber(rendered[startSample + k])) {
-      maxError = Infinity;
-      maxErrorIndex = startSample + k;
+      return startEndValueChange;
+    }
+  }
+
+  // Relative error metric
+  function relativeErrorMetric(actual, expected) {
+    return (actual - expected) / Math.abs(expected);
+  }
+
+  // Difference metric
+  function differenceErrorMetric(actual, expected) {
+    return actual - expected;
+  }
+
+  // Return the difference between the starting value at |timeIntervalIndex| and
+  // the starting value at the next time interval.  Since we started at a large
+  // initial value, we decrease the value at each time interval.
+  function valueUpdate(timeIntervalIndex) {
+    return -startingValueDelta;
+  }
+
+  // Compare a section of the rendered data against our expected signal.
+  function comparePartialSignals(
+      should, rendered, expectedFunction, startTime, endTime, valueInfo,
+      sampleRate, errorMetric) {
+    let startSample = timeToSampleFrame(startTime, sampleRate);
+    let expected = expectedFunction(
+        startTime, endTime, valueInfo.startValue, valueInfo.endValue,
+        sampleRate, timeConstant);
+
+    let n = expected.length;
+    let maxError = -1;
+    let maxErrorIndex = -1;
+
+    for (let k = 0; k < n; ++k) {
+      // Make sure we don't pass these tests because a NaN has been generated in
+      // either the
+      // rendered data or the reference data.
+      if (!isValidNumber(rendered[startSample + k])) {
+        maxError = Infinity;
+        maxErrorIndex = startSample + k;
+        should(
+            isValidNumber(rendered[startSample + k]),
+            'NaN or infinity for rendered data at ' + maxErrorIndex)
+            .beTrue();
+        break;
+      }
+      if (!isValidNumber(expected[k])) {
+        maxError = Infinity;
+        maxErrorIndex = startSample + k;
+        should(
+            isValidNumber(expected[k]),
+            'NaN or infinity for rendered data at ' + maxErrorIndex)
+            .beTrue();
+        break;
+      }
+      let error = Math.abs(errorMetric(rendered[startSample + k], expected[k]));
+      if (error > maxError) {
+        maxError = error;
+        maxErrorIndex = k;
+      }
+    }
+
+    return {maxError: maxError, index: maxErrorIndex, expected: expected};
+  }
+
+  // Find the discontinuities in the data and compare the locations of the
+  // discontinuities with the times that define the time intervals. There is a
+  // discontinuity if the difference between successive samples exceeds the
+  // threshold.
+  function verifyDiscontinuities(should, values, times, threshold) {
+    let n = values.length;
+    let success = true;
+    let badLocations = 0;
+    let breaks = [];
+
+    // Find discontinuities.
+    for (let k = 1; k < n; ++k) {
+      if (Math.abs(values[k] - values[k - 1]) > threshold) {
+        breaks.push(k);
+      }
+    }
+
+    let testCount;
+
+    // If there are numberOfTests intervals, there are only numberOfTests - 1
+    // internal interval boundaries. Hence the maximum number of discontinuties
+    // we expect to find is numberOfTests - 1. If we find more than that, we
+    // have no reference to compare against. We also assume that the actual
+    // discontinuities are close to the expected ones.
+    //
+    // This is just a sanity check when something goes really wrong.  For
+    // example, if the threshold is too low, every sample frame looks like a
+    // discontinuity.
+    if (breaks.length >= numberOfTests) {
+      testCount = numberOfTests - 1;
+      should(breaks.length, 'Number of discontinuities')
+          .beLessThan(numberOfTests);
+      success = false;
+    } else {
+      testCount = breaks.length;
+    }
+
+    // Compare the location of each discontinuity with the end time of each
+    // interval. (There is no discontinuity at the start of the signal.)
+    for (let k = 0; k < testCount; ++k) {
+      let expectedSampleFrame = timeToSampleFrame(times[k + 1], sampleRate);
+      if (breaks[k] != expectedSampleFrame) {
+        success = false;
+        ++badLocations;
+        should(breaks[k], 'Discontinuity at index')
+            .beEqualTo(expectedSampleFrame);
+      }
+    }
+
+    if (badLocations) {
+      should(badLocations, 'Number of discontinuites at incorrect locations')
+          .beEqualTo(0);
+      success = false;
+    } else {
       should(
-          isValidNumber(rendered[startSample + k]),
-          'NaN or infinity for rendered data at ' + maxErrorIndex)
-          .beTrue();
-      break;
-    }
-    if (!isValidNumber(expected[k])) {
-      maxError = Infinity;
-      maxErrorIndex = startSample + k;
+          breaks.length + 1,
+          'Number of tests started and ended at the correct time')
+          .beEqualTo(numberOfTests);
+    }
+
+    return success;
+  }
+
+  // Compare the rendered data with the expected data.
+  //
+  // testName - string describing the test
+  //
+  // maxError - maximum allowed difference between the rendered data and the
+  // expected data
+  //
+  // rendererdData - array containing the rendered (actual) data
+  //
+  // expectedFunction - function to compute the expected data
+  //
+  // timeValueInfo - array containing information about the start and end times
+  // and the start and end values of each interval.
+  //
+  // breakThreshold - threshold to use for determining discontinuities.
+  function compareSignals(
+      should, testName, maxError, renderedData, expectedFunction, timeValueInfo,
+      breakThreshold, errorMetric) {
+    let success = true;
+    let failedTestCount = 0;
+    let times = timeValueInfo.times;
+    let values = timeValueInfo.values;
+    let n = values.length;
+    let expectedSignal = [];
+
+    success =
+        verifyDiscontinuities(should, renderedData, times, breakThreshold);
+
+    for (let k = 0; k < n; ++k) {
+      let result = comparePartialSignals(
+          should, renderedData, expectedFunction, times[k], times[k + 1],
+          values[k], sampleRate, errorMetric);
+
+      expectedSignal =
+          expectedSignal.concat(Array.prototype.slice.call(result.expected));
+
       should(
-          isValidNumber(expected[k]),
-          'NaN or infinity for rendered data at ' + maxErrorIndex)
-          .beTrue();
-      break;
-    }
-    var error = Math.abs(errorMetric(rendered[startSample + k], expected[k]));
-    if (error > maxError) {
-      maxError = error;
-      maxErrorIndex = k;
-    }
-  }
-
-  return {maxError: maxError, index: maxErrorIndex, expected: expected};
-}
-
-// Find the discontinuities in the data and compare the locations of the
-// discontinuities with the times that define the time intervals. There is a
-// discontinuity if the difference between successive samples exceeds the
-// threshold.
-function verifyDiscontinuities(should, values, times, threshold) {
-  var n = values.length;
-  var success = true;
-  var badLocations = 0;
-  var breaks = [];
-
-  // Find discontinuities.
-  for (var k = 1; k < n; ++k) {
-    if (Math.abs(values[k] - values[k - 1]) > threshold) {
-      breaks.push(k);
-    }
-  }
-
-  var testCount;
-
-  // If there are numberOfTests intervals, there are only numberOfTests - 1
-  // internal interval boundaries. Hence the maximum number of discontinuties we
-  // expect to find is numberOfTests - 1. If we find more than that, we have no
-  // reference to compare against. We also assume that the actual
-  // discontinuities are close to the expected ones.
-  //
-  // This is just a sanity check when something goes really wrong.  For example,
-  // if the threshold is too low, every sample frame looks like a discontinuity.
-  if (breaks.length >= numberOfTests) {
-    testCount = numberOfTests - 1;
-    should(breaks.length, 'Number of discontinuities')
-        .beLessThan(numberOfTests);
-    success = false;
-  } else {
-    testCount = breaks.length;
-  }
-
-  // Compare the location of each discontinuity with the end time of each
-  // interval. (There is no discontinuity at the start of the signal.)
-  for (var k = 0; k < testCount; ++k) {
-    var expectedSampleFrame = timeToSampleFrame(times[k + 1], sampleRate);
-    if (breaks[k] != expectedSampleFrame) {
-      success = false;
-      ++badLocations;
-      should(breaks[k], 'Discontinuity at index')
-          .beEqualTo(expectedSampleFrame);
-    }
-  }
-
-  if (badLocations) {
-    should(badLocations, 'Number of discontinuites at incorrect locations')
+          result.maxError,
+          'Max error for test ' + k + ' at offset ' +
+              (result.index + timeToSampleFrame(times[k], sampleRate)))
+          .beLessThanOrEqualTo(maxError);
+    }
+
+    should(
+        failedTestCount,
+        'Number of failed tests with an acceptable relative tolerance of ' +
+            maxError)
         .beEqualTo(0);
-    success = false;
-  } else {
-    should(
-        breaks.length + 1,
-        'Number of tests started and ended at the correct time')
-        .beEqualTo(numberOfTests);
-  }
-
-  return success;
-}
-
-// Compare the rendered data with the expected data.
-//
-// testName - string describing the test
-//
-// maxError - maximum allowed difference between the rendered data and the
-// expected data
-//
-// rendererdData - array containing the rendered (actual) data
-//
-// expectedFunction - function to compute the expected data
-//
-// timeValueInfo - array containing information about the start and end times
-// and the start and end values of each interval.
-//
-// breakThreshold - threshold to use for determining discontinuities.
-function compareSignals(
-    should, testName, maxError, renderedData, expectedFunction, timeValueInfo,
-    breakThreshold, errorMetric) {
-  var success = true;
-  var failedTestCount = 0;
-  var times = timeValueInfo.times;
-  var values = timeValueInfo.values;
-  var n = values.length;
-  var expectedSignal = [];
-
-  success = verifyDiscontinuities(should, renderedData, times, breakThreshold);
-
-  for (var k = 0; k < n; ++k) {
-    var result = comparePartialSignals(
-        should, renderedData, expectedFunction, times[k], times[k + 1],
-        values[k], sampleRate, errorMetric);
-
-    expectedSignal =
-        expectedSignal.concat(Array.prototype.slice.call(result.expected));
-
-    should(
-        result.maxError,
-        'Max error for test ' + k + ' at offset ' +
-            (result.index + timeToSampleFrame(times[k], sampleRate)))
-        .beLessThanOrEqualTo(maxError);
-  }
-
-  should(
-      failedTestCount,
-      'Number of failed tests with an acceptable relative tolerance of ' +
-          maxError)
-      .beEqualTo(0);
-}
-
-// Create a function to test the rendered data with the reference data.
-//
-// testName - string describing the test
-//
-// error - max allowed error between rendered data and the reference data.
-//
-// referenceFunction - function that generates the reference data to be compared
-// with the rendered data.
-//
-// jumpThreshold - optional parameter that specifies the threshold to use for
-// detecting discontinuities.  If not specified, defaults to
-// discontinuityThreshold.
-//
-function checkResultFunction(
-    task, should, testName, error, referenceFunction, jumpThreshold,
-    errorMetric) {
-  return function(event) {
-    var buffer = event.renderedBuffer;
-    renderedData = buffer.getChannelData(0);
-
-    var threshold;
-
-    if (!jumpThreshold) {
-      threshold = discontinuityThreshold;
-    } else {
-      threshold = jumpThreshold;
-    }
-
-    compareSignals(
-        should, testName, error, renderedData, referenceFunction, timeValueInfo,
-        threshold, errorMetric);
-    task.done();
-  }
-}
-
-// Run all the automation tests.
-//
-// numberOfTests - number of tests (time intervals) to run.
-//
-// initialValue - The initial value of the first time interval.
-//
-// setValueFunction - function that sets the specified value at the start of a
-// time interval.
-//
-// automationFunction - function that sets the end value for the time interval.
-// It specifies how the value approaches the end value.
-//
-// An object is returned containing an array of start times for each time
-// interval, and an array giving the start and end values for the interval.
-function doAutomation(
-    numberOfTests, initialValue, setValueFunction, automationFunction) {
-  var timeInfo = [0];
-  var valueInfo = [];
-  var value = initialValue;
-
-  for (var k = 0; k < numberOfTests; ++k) {
-    var startTime = k * timeInterval;
-    var endTime = (k + 1) * timeInterval;
-    var endValue = value + endValueDelta(k);
-
-    // Set the value at the start of the time interval.
-    setValueFunction(value, startTime);
-
-    // Specify the end or target value, and how we should approach it.
-    automationFunction(endValue, startTime, endTime);
-
-    // Keep track of the start times, and the start and end values for each time
-    // interval.
-    timeInfo.push(endTime);
-    valueInfo.push({startValue: value, endValue: endValue});
-
-    value += valueUpdate(k);
-  }
-
-  return {times: timeInfo, values: valueInfo};
-}
-
-// Create the audio graph for the test and then run the test.
-//
-// numberOfTests - number of time intervals (tests) to run.
-//
-// initialValue - the initial value of the gain at time 0.
-//
-// setValueFunction - function to set the value at the beginning of each time
-// interval.
-//
-// automationFunction - the AudioParamTimeline automation function
-//
-// testName - string indicating the test that is being run.
-//
-// maxError - maximum allowed error between the rendered data and the reference
-// data
-//
-// referenceFunction - function that generates the reference data to be compared
-// against the rendered data.
-//
-// jumpThreshold - optional parameter that specifies the threshold to use for
-// detecting discontinuities.  If not specified, defaults to
-// discontinuityThreshold.
-//
-function createAudioGraphAndTest(
-    task, should, numberOfTests, initialValue, setValueFunction,
-    automationFunction, testName, maxError, referenceFunction, jumpThreshold,
-    errorMetric) {
-  // Create offline audio context.
-  context = new OfflineAudioContext(2, renderLength(numberOfTests), sampleRate);
-  var constantBuffer =
-      createConstantBuffer(context, renderLength(numberOfTests), 1);
-
-  // We use an AudioGainNode here simply as a convenient way to test the
-  // AudioParam automation, since it's easy to pass a constant value through the
-  // node, automate the .gain attribute and observe the resulting values.
-
-  gainNode = context.createGain();
-
-  var bufferSource = context.createBufferSource();
-  bufferSource.buffer = constantBuffer;
-  bufferSource.connect(gainNode);
-  gainNode.connect(context.destination);
-
-  // Set up default values for the parameters that control how the automation
-  // test values progress for each time interval.
-  startingValueDelta = initialValue / numberOfTests;
-  startEndValueChange = startingValueDelta / 2;
-  discontinuityThreshold = startEndValueChange / 2;
-
-  // Run the automation tests.
-  timeValueInfo = doAutomation(
-      numberOfTests, initialValue, setValueFunction, automationFunction);
-  bufferSource.start(0);
-
-  context.oncomplete = checkResultFunction(
-      task, should, testName, maxError, referenceFunction, jumpThreshold,
-      errorMetric || relativeErrorMetric);
-  context.startRendering();
-}
+  }
+
+  // Create a function to test the rendered data with the reference data.
+  //
+  // testName - string describing the test
+  //
+  // error - max allowed error between rendered data and the reference data.
+  //
+  // referenceFunction - function that generates the reference data to be
+  // compared with the rendered data.
+  //
+  // jumpThreshold - optional parameter that specifies the threshold to use for
+  // detecting discontinuities.  If not specified, defaults to
+  // discontinuityThreshold.
+  //
+  function checkResultFunction(
+      task, should, testName, error, referenceFunction, jumpThreshold,
+      errorMetric) {
+    return function(event) {
+      let buffer = event.renderedBuffer;
+      renderedData = buffer.getChannelData(0);
+
+      let threshold;
+
+      if (!jumpThreshold) {
+        threshold = discontinuityThreshold;
+      } else {
+        threshold = jumpThreshold;
+      }
+
+      compareSignals(
+          should, testName, error, renderedData, referenceFunction,
+          timeValueInfo, threshold, errorMetric);
+      task.done();
+    }
+  }
+
+  // Run all the automation tests.
+  //
+  // numberOfTests - number of tests (time intervals) to run.
+  //
+  // initialValue - The initial value of the first time interval.
+  //
+  // setValueFunction - function that sets the specified value at the start of a
+  // time interval.
+  //
+  // automationFunction - function that sets the end value for the time
+  // interval. It specifies how the value approaches the end value.
+  //
+  // An object is returned containing an array of start times for each time
+  // interval, and an array giving the start and end values for the interval.
+  function doAutomation(
+      numberOfTests, initialValue, setValueFunction, automationFunction) {
+    let timeInfo = [0];
+    let valueInfo = [];
+    let value = initialValue;
+
+    for (let k = 0; k < numberOfTests; ++k) {
+      let startTime = k * timeInterval;
+      let endTime = (k + 1) * timeInterval;
+      let endValue = value + endValueDelta(k);
+
+      // Set the value at the start of the time interval.
+      setValueFunction(value, startTime);
+
+      // Specify the end or target value, and how we should approach it.
+      automationFunction(endValue, startTime, endTime);
+
+      // Keep track of the start times, and the start and end values for each
+      // time interval.
+      timeInfo.push(endTime);
+      valueInfo.push({startValue: value, endValue: endValue});
+
+      value += valueUpdate(k);
+    }
+
+    return {times: timeInfo, values: valueInfo};
+  }
+
+  // Create the audio graph for the test and then run the test.
+  //
+  // numberOfTests - number of time intervals (tests) to run.
+  //
+  // initialValue - the initial value of the gain at time 0.
+  //
+  // setValueFunction - function to set the value at the beginning of each time
+  // interval.
+  //
+  // automationFunction - the AudioParamTimeline automation function
+  //
+  // testName - string indicating the test that is being run.
+  //
+  // maxError - maximum allowed error between the rendered data and the
+  // reference data
+  //
+  // referenceFunction - function that generates the reference data to be
+  // compared against the rendered data.
+  //
+  // jumpThreshold - optional parameter that specifies the threshold to use for
+  // detecting discontinuities.  If not specified, defaults to
+  // discontinuityThreshold.
+  //
+  function createAudioGraphAndTest(
+      task, should, numberOfTests, initialValue, setValueFunction,
+      automationFunction, testName, maxError, referenceFunction, jumpThreshold,
+      errorMetric) {
+    // Create offline audio context.
+    context =
+        new OfflineAudioContext(2, renderLength(numberOfTests), sampleRate);
+    let constantBuffer =
+        createConstantBuffer(context, renderLength(numberOfTests), 1);
+
+    // We use an AudioGainNode here simply as a convenient way to test the
+    // AudioParam automation, since it's easy to pass a constant value through
+    // the node, automate the .gain attribute and observe the resulting values.
+
+    gainNode = context.createGain();
+
+    let bufferSource = context.createBufferSource();
+    bufferSource.buffer = constantBuffer;
+    bufferSource.connect(gainNode);
+    gainNode.connect(context.destination);
+
+    // Set up default values for the parameters that control how the automation
+    // test values progress for each time interval.
+    startingValueDelta = initialValue / numberOfTests;
+    startEndValueChange = startingValueDelta / 2;
+    discontinuityThreshold = startEndValueChange / 2;
+
+    // Run the automation tests.
+    timeValueInfo = doAutomation(
+        numberOfTests, initialValue, setValueFunction, automationFunction);
+    bufferSource.start(0);
+
+    context.oncomplete = checkResultFunction(
+        task, should, testName, maxError, referenceFunction, jumpThreshold,
+        errorMetric || relativeErrorMetric);
+    context.startRendering();
+  }
+
+  // Export local references to global scope. All the new objects in this file
+  // must be exported through this if it is to be used in the actual test HTML
+  // page.
+  let exports = {
+    'sampleRate': 44100,
+    'gainNode': null,
+    'timeInterval': timeIntervalInternal,
+
+    // Some suitable time constant so that we can see a significant change over
+    // a timeInterval.  This is only needed by setTargetAtTime() which needs a
+    // time constant.
+    'timeConstant': timeIntervalInternal / 3,
+
+    'renderLength': renderLength,
+    'createConstantArray': createConstantArray,
+    'getStartEndFrames': getStartEndFrames,
+    'createLinearRampArray': createLinearRampArray,
+    'createExponentialRampArray': createExponentialRampArray,
+    'discreteTimeConstantForSampleRate': discreteTimeConstantForSampleRate,
+    'createExponentialApproachArray': createExponentialApproachArray,
+    'createReferenceSineArray': createReferenceSineArray,
+    'createSineWaveArray': createSineWaveArray,
+    'endValueDelta': endValueDelta,
+    'relativeErrorMetric': relativeErrorMetric,
+    'differenceErrorMetric': differenceErrorMetric,
+    'valueUpdate': valueUpdate,
+    'comparePartialSignals': comparePartialSignals,
+    'verifyDiscontinuities': verifyDiscontinuities,
+    'compareSignals': compareSignals,
+    'checkResultFunction': checkResultFunction,
+    'doAutomation': doAutomation,
+    'createAudioGraphAndTest': createAudioGraphAndTest
+  };
+
+  for (let reference in exports) {
+    global[reference] = exports[reference];
+  }
+
+})(window);