public void CalculateVectorAverage_With_No_Samples_Returns_Zero()
{
var samples = new WorkoutSamples(0);
IAthlete athlete = new Athlete();
var workoutCalculator = new WorkoutSamplesCalculator(samples, athlete);
var average = workoutCalculator.GetAverageCadence();
Assert.Equal(0, average);
}
public void TestAverageCadence()
{
Initialise();
var calc = new PWXDataExtractor(_test);
var workoutSample = calc.ExtractData();
IAthlete athlete = new Athlete();
var workoutCalculator = new WorkoutSamplesCalculator(workoutSample, athlete);
var myCadAverage = workoutCalculator.GetAverageCadence();
var pwxSummaryCadAverage = _test.workout[0].summarydata.cad.avg;
myCadAverage = Math.Round(myCadAverage);
Assert.Equal(myCadAverage, 77);
}
public void CalculateVectorAverage_With_No_Samples_Returns_Zero()
{
var samples = new WorkoutSamples(0);
IAthlete athlete = new Athlete();
var workoutCalculator = new WorkoutSamplesCalculator(samples, athlete);
var average = workoutCalculator.GetAverageCadence();
Assert.Equal(0, average);
}
public void TestAverageCadence()
{
Initialise();
var calc = new PWXDataExtractor(_test);
var workoutSample = calc.ExtractData();
IAthlete athlete = new Athlete();
var workoutCalculator = new WorkoutSamplesCalculator(workoutSample,athlete);
var myCadAverage = workoutCalculator.GetAverageCadence();
var pwxSummaryCadAverage = _test.workout[0].summarydata.cad.avg;
myCadAverage = Math.Round(myCadAverage);
Assert.Equal(myCadAverage, 77);
}
