public void SourceConverter_RiseAndFall()
{
var nextFrame = new VisualizationDataFrame(
testFrame.Time.Value.Add(testFrame.Duration),
testFrame.Duration,
ScalarData.Create(Enumerable.Repeat <float>(1.0f, (int)expectedChannelCount).ToArray()),
ScalarData.Create(Enumerable.Repeat <float>(2.0f, (int)expectedChannelCount).ToArray()),
SpectrumData.Create(
Enumerable.Repeat <float>(1.0f, (int)(expectedChannelCount * expectedFrequencyCount)).ToArray(), expectedChannelCount, ScaleType.Linear, ScaleType.Linear, expectedMinFrequency, expectedMaxFrequency)
);
sut.SpectrumRiseTime = TimeSpan.FromMilliseconds(100);
sut.SpectrumFallTime = TimeSpan.FromMilliseconds(50);
sut.RmsRiseTime = TimeSpan.FromMilliseconds(80);
sut.RmsFallTime = TimeSpan.FromMilliseconds(40);
sut.PeakRiseTime = TimeSpan.FromMilliseconds(20);
sut.PeakFallTime = TimeSpan.FromMilliseconds(200);
var data = sut.GetData();
testSource.Frame = nextFrame;
data = sut.GetData();
Assert.IsNotNull(data.RMS);
Assert.IsNotNull(data.Peak);
Assert.IsNotNull(data.Spectrum);
}
public void VisualizationDataFrame_ctor()
{
var rms = ScalarData.CreateEmpty(2);
var peak = ScalarData.CreateEmpty(2);
var spectrum = SpectrumData.CreateEmpty(2, 100, ScaleType.Linear, ScaleType.Linear, 0, 20000.0f);
var frame = new VisualizationDataFrame(TimeSpan.FromSeconds(1), TimeSpan.FromSeconds(1.0 / 60.0), rms, peak, spectrum);
Assert.IsNotNull(frame);
Assert.AreEqual(TimeSpan.FromSeconds(1), frame.Time);
Assert.AreEqual(TimeSpan.FromSeconds(1.0 / 60.0), frame.Duration);
Assert.AreSame(rms, frame.RMS);
Assert.AreSame(peak, frame.Peak);
Assert.AreSame(spectrum, frame.Spectrum);
}
public void TestInit()
{
sut = new SourceConverter();
testSource = new FakeVisualizationSource();
testSource.ExpectedChannels = expectedChannelCount;
sut.Source = testSource;
testFrame = new VisualizationDataFrame(
TimeSpan.Zero,
TimeSpan.FromMilliseconds(16.7),
ScalarData.CreateEmpty(expectedChannelCount),
ScalarData.CreateEmpty(expectedChannelCount),
SpectrumData.CreateEmpty(expectedChannelCount, 10, ScaleType.Linear, ScaleType.Linear, 0, 10000));
testSource.Frame = testFrame;
}
public void SourceConverter_CombineChannels_WoMap(uint inputChannels, uint outChannels, float [] expectedRms)
{
float[] input = new float[inputChannels];
float value = 1.0f;
for (int index = 0; index < inputChannels; index++, value *= 2.0f)
{
input[index] = value;
}
var inputFrame = new VisualizationDataFrame(TimeSpan.Zero, TimeSpan.FromMilliseconds(16), ScalarData.Create(input), null, null);
testSource.ExpectedChannels = inputChannels;
testSource.Frame = inputFrame;
sut.ChannelCount = outChannels;
var outFrame = sut.GetData();
CollectionAssert.AreEqual(expectedRms, outFrame.RMS.ToArray());
}
public void TestInit()
{
sut = new SourceConverter();
testSource = new FakeVisualizationSource();
sut.Source = testSource;
testFrame = new VisualizationDataFrame(
expectedTime,
expectedDuration,
ScalarData.CreateEmpty(expectedChannelCount),
ScalarData.CreateEmpty(expectedChannelCount),
SpectrumData.CreateEmpty(expectedChannelCount, expectedFrequencyCount, ScaleType.Linear, ScaleType.Linear, expectedMinFrequency, expectedMaxFrequency)
);
otherFrame = new VisualizationDataFrame(
expectedTime.Add(expectedDuration),
expectedDuration,
ScalarData.CreateEmpty(expectedChannelCount),
ScalarData.CreateEmpty(expectedChannelCount),
SpectrumData.CreateEmpty(expectedChannelCount, expectedFrequencyCount, ScaleType.Linear, ScaleType.Linear, expectedMinFrequency, expectedMaxFrequency)
);
testSource.Frame = testFrame;
}
