// [Ignore("The update from 864f7a491e2ea0e938161bd390c1c931ecbdf63c possibly broke this test and I do not know how to repair it.
// TODO @towsey")]
public void TwoOscillationTests()
{
{
var sourceRecording = PathHelper.ResolveAsset("Recordings", "BAC2_20071008-085040.wav");
// 1. get the config dictionary
var configDict = Oscillations2014.GetDefaultConfigDictionary(sourceRecording);
// 2. Create temp directory to store output
if (!this.outputDirectory.Exists)
{
this.outputDirectory.Create();
}
// 3. Generate the FREQUENCY x OSCILLATIONS Graphs and csv data
var tuple = Oscillations2014.GenerateOscillationDataAndImages(sourceRecording, configDict, true);
// construct name of expected image file to save
var sourceName = Path.GetFileNameWithoutExtension(sourceRecording.Name);
var stem = sourceName + ".FreqOscilSpectrogram";
// construct name of expected matrix osc spectrogram to save file
var expectedMatrixFile = PathHelper.ResolveAsset("Oscillations2014", stem + ".Matrix.EXPECTED.csv");
// SAVE THE OUTPUT if true
// WARNING: this will overwrite fixtures
if (false)
{
// 1: save image of oscillation spectrogram
string imageName = stem + ".EXPECTED.png";
string imagePath = Path.Combine(PathHelper.ResolveAssetPath("Oscillations2014"), imageName);
tuple.Item1.Save(imagePath, ImageFormat.Png);
// 2: Save matrix of oscillation data stored in freqOscilMatrix1
//Csv.WriteMatrixToCsv(expectedMatrixFile, tuple.Item2);
Binary.Serialize(expectedMatrixFile, tuple.Item2);
}
// Run two tests. Have to deserialise the expected data files
// 1: Compare image files - check that image dimensions are correct
Assert.AreEqual(350, tuple.Item1.Width);
Assert.AreEqual(675, tuple.Item1.Height);
// 2. Compare matrix data
var expectedMatrix = Binary.Deserialize <double[, ]>(expectedMatrixFile);
//TODO Following test fails when using CSV reader because the reader cuts out first line of the matrix
//var expectedMatrix = Csv.ReadMatrixFromCsv<double>(expectedMatrixFile);
CollectionAssert.That.AreEqual(expectedMatrix, tuple.Item2, 0.000001);
}
}
public void TwoOscillationTests()
{
{
var sourceRecording = PathHelper.ResolveAsset("Recordings", "BAC2_20071008-085040.wav");
var configFile = PathHelper.ResolveAsset("Oscillations2014", "Towsey.Sonogram.yml");
// 1. get the config dictionary
var configDict = Oscillations2014.GetConfigDictionary(configFile, true);
configDict[ConfigKeys.Recording.Key_RecordingCallName] = sourceRecording.FullName;
configDict[ConfigKeys.Recording.Key_RecordingFileName] = sourceRecording.Name;
// 2. Create temp directory to store output
if (!this.outputDirectory.Exists)
{
this.outputDirectory.Create();
}
// 3. Generate the FREQUENCY x OSCILLATIONS Graphs and csv data
var tuple = Oscillations2014.GenerateOscillationDataAndImages(sourceRecording, configDict, true);
// Calculate the sample length i.e. number of frames spanned to calculate oscillations per second
int sampleLength = Oscillations2014.DefaultSampleLength;
if (configDict.ContainsKey(AnalysisKeys.OscilDetection2014SampleLength))
{
sampleLength = int.Parse(configDict[AnalysisKeys.OscilDetection2014SampleLength]);
}
// construct name of expected image file to save
var sourceName = Path.GetFileNameWithoutExtension(sourceRecording.Name);
var stem = sourceName + ".FreqOscilSpectrogram_" + sampleLength;
// construct name of expected matrix osc spectrogram to save file
var expectedMatrixFile = PathHelper.ResolveAsset("Oscillations2014", stem + ".Matrix.EXPECTED.bin");
// construct name of expected matrix osc spectrogram to save file
var expectedSpectrumFile = PathHelper.ResolveAsset("Oscillations2014", stem + ".Vector.EXPECTED.bin");
// Run this once to generate expected image and data files (############ IMPORTANT: remember to move saved files OUT of bin/Debug directory!)
// SAVE THE OUTPUT if true
if (false)
{
// 1: save image of oscillation spectrogram
string imageName = stem + ".EXPECTED.png";
string imagePath = Path.Combine(this.outputDirectory.FullName, imageName);
tuple.Item1.Save(imagePath, ImageFormat.Png);
// 2: Save matrix of oscillation data stored in freqOscilMatrix1
// Acoustics.Shared.Csv.Csv.WriteMatrixToCsv(expectedMatrixFile.FullName, tuple.Item2);
Binary.Serialize(expectedMatrixFile, tuple.Item2);
// 3: save oscillationsSpectrum OR the OSC spectral index.
// Acoustics.Shared.Csv.Csv.WriteToCsv(spectralFile, tuple.Item3);
// Json.Serialise(expectedSpectrumFile, tuple.Item3);
Binary.Serialize(expectedSpectrumFile, tuple.Item3);
}
// Run three tests. Have to deserialise the expected data files
// 1: Compare image files - check that image dimensions are correct
Assert.AreEqual(356, tuple.Item1.Width);
Assert.AreEqual(678, tuple.Item1.Height);
// 2. Compare matrix data
var expectedMatrix = Binary.Deserialize <double[, ]>(expectedMatrixFile);
CollectionAssert.AreEqual(expectedMatrix, tuple.Item2);
// 3. Compare OSC spectral index
// var expectedVector = Json.Deserialise<double[]>(expectedSpectrumFile);
var expectedVector = Binary.Deserialize <double[]>(expectedSpectrumFile);
CollectionAssert.AreEqual(expectedVector, tuple.Item3);
}
}
