diff options
Diffstat (limited to 'qualityattenuation/qualityattenuation_test.go')
| -rw-r--r-- | qualityattenuation/qualityattenuation_test.go | 44 |
1 files changed, 22 insertions, 22 deletions
diff --git a/qualityattenuation/qualityattenuation_test.go b/qualityattenuation/qualityattenuation_test.go index 975cbf3..4746364 100644 --- a/qualityattenuation/qualityattenuation_test.go +++ b/qualityattenuation/qualityattenuation_test.go @@ -11,23 +11,23 @@ func TestBasicSimpleQualityAttenuation(t *testing.T) { qa.AddSample(1.0) qa.AddSample(2.0) qa.AddSample(3.0) - assert.Equal(t, qa.Number_of_samples, int64(3)) - assert.Equal(t, qa.Number_of_losses, int64(0)) - assert.InEpsilon(t, 1.0, qa.Minimum_latency, 0.000001) - assert.InEpsilon(t, 3.0, qa.Maximum_latency, 0.000001) - assert.InEpsilon(t, 5.7, qa.Offset_sum, 0.000001) - assert.InEpsilon(t, 12.83, qa.Offset_sum_of_squares, 0.000001) - assert.InEpsilon(t, 1.0, qa.EmpiricalDistribution.Quantile(0.1), 0.000001) - assert.InEpsilon(t, 2.0, qa.EmpiricalDistribution.Quantile(0.5), 0.000001) - assert.InEpsilon(t, 3.0, qa.EmpiricalDistribution.Quantile(0.9), 0.000001) + assert.Equal(t, qa.numberOfSamples, int64(3)) + assert.Equal(t, qa.numberOfLosses, int64(0)) + assert.InEpsilon(t, 1.0, qa.minimumLatency, 0.000001) + assert.InEpsilon(t, 3.0, qa.maximumLatency, 0.000001) + assert.InEpsilon(t, 5.7, qa.offsetSum, 0.000001) + assert.InEpsilon(t, 12.83, qa.offsetSumOfSquares, 0.000001) + assert.InEpsilon(t, 1.0, qa.empiricalDistribution.Quantile(0.1), 0.000001) + assert.InEpsilon(t, 2.0, qa.empiricalDistribution.Quantile(0.5), 0.000001) + assert.InEpsilon(t, 3.0, qa.empiricalDistribution.Quantile(0.9), 0.000001) //Test the get functions assert.Equal(t, qa.GetNumberOfSamples(), int64(3)) assert.Equal(t, qa.GetNumberOfLosses(), int64(0)) assert.InEpsilon(t, 1.0, qa.GetMinimum(), 0.000001) assert.InEpsilon(t, 3.0, qa.GetMaximum(), 0.000001) assert.InEpsilon(t, 2.0, qa.GetAverage(), 0.000001) - assert.InEpsilon(t, 0.666667, qa.GetVariance(), 0.000001) - assert.InEpsilon(t, 0.816496, qa.GetStandardDeviation(), 0.000001) + assert.InEpsilon(t, 1.000000, qa.GetVariance(), 0.000001) + assert.InEpsilon(t, 1.000000, qa.GetStandardDeviation(), 0.000001) assert.InEpsilon(t, 2.0, qa.GetMedian(), 0.000001) assert.InEpsilon(t, 1.0, qa.GetLossPercentage()+1.000000000, 0.000001) assert.InEpsilon(t, 30, qa.GetRPM(), 0.000001) @@ -42,23 +42,23 @@ func TestManySamples(t *testing.T) { for i := 1; i < 160000; i++ { qa.AddSample(float64(i) / 10000.0) //Linear ramp from 0.0001 to 16.0 } - assert.Equal(t, qa.Number_of_samples, int64(160000-1)) - assert.Equal(t, qa.Number_of_losses, int64(10000-1)) //Samples from 15.0001 to 16.0 are lost - assert.InEpsilon(t, 0.0001, qa.Minimum_latency, 0.000001) - assert.InEpsilon(t, 15.0000, qa.Maximum_latency, 0.000001) - assert.InEpsilon(t, 1110007.5, qa.Offset_sum, 0.000001) - assert.InEpsilon(t, 11026611.00024998, qa.Offset_sum_of_squares, 0.000001) - assert.InEpsilon(t, 1.50005, qa.EmpiricalDistribution.Quantile(0.1), 0.000001) - assert.InEpsilon(t, 7.500049, qa.EmpiricalDistribution.Quantile(0.5), 0.000001) - assert.InEpsilon(t, 13.50005, qa.EmpiricalDistribution.Quantile(0.9), 0.000001) + assert.Equal(t, qa.numberOfSamples, int64(160000-1)) + assert.Equal(t, qa.numberOfLosses, int64(10000-1)) //Samples from 15.0001 to 16.0 are lost + assert.InEpsilon(t, 0.0001, qa.minimumLatency, 0.000001) + assert.InEpsilon(t, 15.0000, qa.maximumLatency, 0.000001) + assert.InEpsilon(t, 1110007.5, qa.offsetSum, 0.000001) + assert.InEpsilon(t, 11026611.00024998, qa.offsetSumOfSquares, 0.000001) + assert.InEpsilon(t, 1.50005, qa.empiricalDistribution.Quantile(0.1), 0.000001) + assert.InEpsilon(t, 7.500049, qa.empiricalDistribution.Quantile(0.5), 0.000001) + assert.InEpsilon(t, 13.50005, qa.empiricalDistribution.Quantile(0.9), 0.000001) //Test the get functions assert.Equal(t, qa.GetNumberOfSamples(), int64(160000-1)) assert.Equal(t, qa.GetNumberOfLosses(), int64(10000-1)) assert.InEpsilon(t, 0.0001, qa.GetMinimum(), 0.000001) assert.InEpsilon(t, 15.0000, qa.GetMaximum(), 0.000001) assert.InEpsilon(t, 7.500049, qa.GetAverage(), 0.000001) - assert.InEpsilon(t, 18.749750, qa.GetVariance(), 0.001) - assert.InEpsilon(t, 4.330098, qa.GetStandardDeviation(), 0.001) + assert.InEpsilon(t, 18.750120, qa.GetVariance(), 0.000001) + assert.InEpsilon(t, 4.330141, qa.GetStandardDeviation(), 0.000001) assert.InEpsilon(t, 7.500049, qa.GetMedian(), 0.000001) assert.InEpsilon(t, 6.249414, qa.GetLossPercentage(), 0.000001) assert.InEpsilon(t, 7.999947, qa.GetRPM(), 0.000001) |