public void Classification_GivenADecibalValue_ReturnsExpectedClassification(int value,
HearingLoss expectedClassification)
{
var result = AudiogramDatapoint.Build(value);
var interp = new AudiogramDataPointClassification(result);
Assert.Equal(expectedClassification, interp.Classification);
}
public static Interval <int> GetRange(
HearingLoss classification)
{
if (classification == HearingLoss.None)
{
return(new Interval <int>(0, 20));
}
if (classification == HearingLoss.Mild)
{
return(new Interval <int>(21, 40));
}
if (classification == HearingLoss.Moderate)
{
return(new Interval <int>(41, 60));
}
return(classification == HearingLoss.Severe
? new Interval <int>(61, 80)
: new Interval <int>(81, 200));
}
public void Classify_GivenAValueAboveNormal_ReturnsCorrectClassification(int testValue,
HearingLoss expectedClassification)
{
var rand = new Random();
var audiogramSet = AudiogramDatasetBuilder
.Initialize()
.Set125HertzDataPoint(SetValueInEitherNormalRangeOrToTestValue(rand, testValue))
.Set250HertzDataPoint(SetValueInEitherNormalRangeOrToTestValue(rand, testValue))
.Set500HertzDataPoint(SetValueInEitherNormalRangeOrToTestValue(rand, testValue))
.Set1000HertzDataPoint(SetValueInEitherNormalRangeOrToTestValue(rand, testValue))
.Set2000HertzDataPoint(SetValueInEitherNormalRangeOrToTestValue(rand, testValue))
.Set3000HertzDataPoint(testValue) // Always have at least one trigger
.Set4000HertzDataPoint(SetValueInEitherNormalRangeOrToTestValue(rand, testValue))
.Set6000HertzDataPoint(SetValueInEitherNormalRangeOrToTestValue(rand, testValue))
.Set8000HertzDataPoint(SetValueInEitherNormalRangeOrToTestValue(rand, testValue))
.Build();
var result = audiogramSet;
var interp = new AudiogramDatasetClassification(result);
Assert.Equal(expectedClassification, interp.Classification);
}
public void Classification_GivenOneWorseSide_ReturnsCorrectLateralityAndClassification(int leftVal,
int rightVal, Laterality expectedLaterality, HearingLoss expectedHearingLoss)
{
var leftSet = new AudiogramDatasetBuilder()
.Set500HertzDataPoint(leftVal)
.Build();
var rightSet = new AudiogramDatasetBuilder()
.Set1000HertzDataPoint(rightVal)
.Build();
var result = new AudiogramClassification(Audiogram.Build(leftSet, rightSet)).Classification;
Assert.Equal(expectedLaterality, result.Laterality);
Assert.Equal(expectedHearingLoss, result.Classification);
}
public AudiogramClassificationResult(HearingLoss classification, Laterality laterality, Laterality worseSide)
{
Classification = classification;
Laterality = laterality;
WorseSide = worseSide;
}
