public void TestAdd()
{
List <MutableAggregation> aggregations =
new List <MutableAggregation>()
{
MutableSum.Create(),
MutableCount.Create(),
MutableMean.Create(),
MutableDistribution.Create(BUCKET_BOUNDARIES),
MutableLastValue.Create(),
};
List <double> values = new List <double>()
{
-1.0, 1.0, -5.0, 20.0, 5.0
};
foreach (double value in values)
{
foreach (MutableAggregation aggregation in aggregations)
{
aggregation.Add(value);
}
}
foreach (MutableAggregation aggregation in aggregations)
{
aggregation.Match <object>(
(arg) =>
{
Assert.InRange(arg.Sum, 20.0 - TOLERANCE, 20.0 + TOLERANCE);
return(null);
},
(arg) =>
{
Assert.Equal(5, arg.Count);
return(null);
},
(arg) =>
{
Assert.InRange(arg.Mean, 4.0 - TOLERANCE, 4.0 + TOLERANCE);
Assert.InRange(arg.Max, 20.0 - TOLERANCE, 20 + TOLERANCE);
Assert.InRange(arg.Min, -5.0 - TOLERANCE, -5.0 + TOLERANCE);
return(null);
},
(arg) =>
{
Assert.Equal(new long[] { 0, 2, 2, 1 }, arg.BucketCounts);
return(null);
},
(arg) =>
{
Assert.InRange(arg.LastValue, 5.0 - TOLERANCE, 5.0 + TOLERANCE);
return(null);
}
);
}
}
public void TestCombine_SumCountMean()
{
// combine() for Mutable Sum, Count and Mean will pick up fractional stats
List <MutableAggregation> aggregations1 =
new List <MutableAggregation>()
{
MutableSum.Create(), MutableCount.Create(), MutableMean.Create()
};
List <MutableAggregation> aggregations2 =
new List <MutableAggregation>()
{
MutableSum.Create(), MutableCount.Create(), MutableMean.Create()
};
foreach (double val in new List <double>()
{
-1.0, -5.0
})
{
foreach (MutableAggregation aggregation in aggregations1)
{
aggregation.Add(val);
}
}
foreach (double val in new List <double>()
{
10.0, 50.0
})
{
foreach (MutableAggregation aggregation in aggregations2)
{
aggregation.Add(val);
}
}
List <MutableAggregation> combined =
new List <MutableAggregation>()
{
MutableSum.Create(), MutableCount.Create(), MutableMean.Create()
};
double fraction1 = 1.0;
double fraction2 = 0.6;
for (int i = 0; i < combined.Count; i++)
{
combined[i].Combine(aggregations1[i], fraction1);
combined[i].Combine(aggregations2[i], fraction2);
}
Assert.InRange(((MutableSum)combined[0]).Sum, 30 - TOLERANCE, 30 + TOLERANCE);
Assert.Equal(3, ((MutableCount)combined[1]).Count);
Assert.InRange(((MutableMean)combined[2]).Mean, 10 - TOLERANCE, 10 + TOLERANCE);
}
public void TestMatch()
{
List <MutableAggregation> aggregations =
new List <MutableAggregation>()
{
MutableSum.Create(),
MutableCount.Create(),
MutableMean.Create(),
MutableDistribution.Create(BUCKET_BOUNDARIES),
MutableLastValue.Create(),
};
List <String> actual = new List <String>();
foreach (MutableAggregation aggregation in aggregations)
{
actual.Add(
aggregation.Match(
(arg) =>
{
return("SUM");
},
(arg) =>
{
return("COUNT");
},
(arg) =>
{
return("MEAN");
},
(arg) =>
{
return("DISTRIBUTION");
},
(arg) =>
{
return("LASTVALUE");
}
)
);
}
Assert.Equal(new List <string>()
{
"SUM", "COUNT", "MEAN", "DISTRIBUTION", "LASTVALUE"
}, actual);
}
public void CreateAggregationData()
{
IBucketBoundaries bucketBoundaries = BucketBoundaries.Create(new List <double>()
{
-1.0, 0.0, 1.0
});
List <MutableAggregation> mutableAggregations =
new List <MutableAggregation>()
{
MutableCount.Create(),
MutableMean.Create(),
MutableDistribution.Create(bucketBoundaries)
};
List <IAggregationData> aggregates = new List <IAggregationData>
{
MutableViewData.CreateAggregationData(MutableSum.Create(), MEASURE_DOUBLE),
MutableViewData.CreateAggregationData(MutableSum.Create(), MEASURE_LONG),
MutableViewData.CreateAggregationData(MutableLastValue.Create(), MEASURE_DOUBLE),
MutableViewData.CreateAggregationData(MutableLastValue.Create(), MEASURE_LONG)
};
foreach (MutableAggregation mutableAggregation in mutableAggregations)
{
aggregates.Add(MutableViewData.CreateAggregationData(mutableAggregation, MEASURE_DOUBLE));
}
List <IAggregationData> expected = new List <IAggregationData>()
{
SumDataDouble.Create(0),
SumDataLong.Create(0),
LastValueDataDouble.Create(double.NaN),
LastValueDataLong.Create(0),
CountData.Create(0),
MeanData.Create(0, 0, double.MaxValue, double.MinValue),
DistributionData.Create(
0,
0,
double.PositiveInfinity,
double.NegativeInfinity,
0,
new List <long>()
{
0L, 0L, 0L, 0L
})
};
Assert.Equal(expected, aggregates);
}
public void TestCreateEmpty()
{
Assert.InRange(MutableSum.Create().Sum, 0 - TOLERANCE, 0 + TOLERANCE);
Assert.Equal(0, MutableCount.Create().Count);
Assert.InRange(MutableMean.Create().Mean, 0 - TOLERANCE, 0 + TOLERANCE);
Assert.True(Double.IsNaN(MutableLastValue.Create().LastValue));
IBucketBoundaries bucketBoundaries = BucketBoundaries.Create(new List <double>()
{
0.1, 2.2, 33.3
});
MutableDistribution mutableDistribution = MutableDistribution.Create(bucketBoundaries);
Assert.InRange(mutableDistribution.Mean, 0, TOLERANCE);
Assert.Equal(0, mutableDistribution.Count);
Assert.Equal(double.PositiveInfinity, mutableDistribution.Min);
Assert.Equal(double.NegativeInfinity, mutableDistribution.Max);
Assert.InRange(mutableDistribution.SumOfSquaredDeviations, 0 - TOLERANCE, 0 + TOLERANCE);
Assert.Equal(new long[4], mutableDistribution.BucketCounts);
}
