public DateStatistics(int numberOfSamples, string name, CorrelationFactory correlationFactory, Func <Person, int, Tuple <string, DateTime?, DateTime?> > getter) : base(numberOfSamples, name, correlationFactory, calculateValueForStatistic: null)
{
_numberOfSamples = numberOfSamples;
_name = name;
_correlationFactory = correlationFactory;
DateDifference = new Dictionary <string, DiscreteStatistic>();
CalculateValueForStatistic = GetValueAsDouble(getter);
}
public StatisticsContainer(string sessionId, int numberOfSamplesToTake, int ageQuants, int?ageQuantLevel)
{
AgeQuants = ageQuants;
AgeQuantLevel = ageQuantLevel;
SessionId = sessionId;
NumberOfSamplesToTake = numberOfSamplesToTake;
CorrelationFactory = new CorrelationFactory();
Statistics = new Dictionary <string, Statistic>();
CustomModels = new Dictionary <string, ISetStatistics>();
_howManyTaken = 0;
}
private NetMQTimer CreateInitTimer()
{
var guid = CorrelationFactory.GetNextCorrelation();
var rnd = new Random(guid.GetHashCode());
var randomStart = TimeSpan.FromMilliseconds(rnd.Next(500, 1000)); // Prevent self similar behaviour
var result = new NetMQTimer(randomStart);
result.Elapsed += (sender, args) =>
{
args.Timer.Enable = false; // one shot only
};
return(result);
}
public void Update(Person p, int ageQuant)
{
var value = GetValue(p, ageQuant, true);
if (!value.HasValue)
{
return;
}
var valueToInsert = value.Value;
CorrelationFactory?.Round1(Name, valueToInsert);
Update(value);
}
public Statistic(int howManySamplesToTake, string name, CorrelationFactory correlationFactory, Func <Person, int, double?> calculateValueForStatisticx)
: this(howManySamplesToTake, name)
{
CorrelationFactory = correlationFactory;
CalculateValueForStatistic = (p, a, b) => calculateValueForStatisticx(p, a);
}
public BooleanStatistic(int howManySamplesToTake, string name, CorrelationFactory correlationFactory, Func <Person, int, double?> calculateValueForStatistic) : base(howManySamplesToTake, name, correlationFactory, calculateValueForStatistic)
{
IsBoolean = true;
}
public void CorrelationFactory_GivenElement_FirstElementContainsCorr()
{
nodeScript = AssignNodeScript(nodeScript, path);
Assert.IsTrue(CorrelationFactory.GetCorrelations(nodeScript)[0].Rule.Contains("corr"));
}
public void CorrelationFactory_GivenElement_ReturnsCorrelationArray_NonEmpty()
{
nodeScript = AssignNodeScript(nodeScript, path);
Assert.IsTrue(CorrelationFactory.GetCorrelations(nodeScript).Length > 0);
}
public void CorrelationFactory_GivenElement_ReturnsCorrelationArrayType()
{
nodeScript = AssignNodeScript(nodeScript, path);
Assert.IsInstanceOfType(CorrelationFactory.GetCorrelations(nodeScript), typeof(Correlation[]));
}
public void CorrelationFactory_GivenElement_IsNotNull()
{
nodeScript = AssignNodeScript(nodeScript, path);
Assert.IsNotNull(CorrelationFactory.GetCorrelations(nodeScript));
}
public DiscreteStringStatistics(int howManySamplesToTake, int?ageQuantLevel, string name, CorrelationFactory correlationFactory, Func <Person, int, string> calculateValueForStatistic) : base(howManySamplesToTake, name, correlationFactory, calculateValueForStatistic: null)
{
_ageQuantLevel = ageQuantLevel;
Stats = new Dictionary <string, DiscreteStringStatisticElement>
{
{ _emptyString, new DiscreteStringStatisticElement()
{
Count = 0
} }
};
IsDiscrete = true;
CalculateValueForStatistic = GetValueAsDouble(calculateValueForStatistic);
}
// To be made private
// temporary
public JoinNetwork EmitJoinNetwork()
{
return(new JoinNetwork(Identity, CorrelationFactory.GetNextCorrelation()));
}
public DiscreteStatistic(int howManySamplesToTake, string name, CorrelationFactory correlationFactory, Func <Person, int, double?> calculateValueForStatistic) : base(howManySamplesToTake, name, correlationFactory, calculateValueForStatistic)
{
_stats = new Dictionary <int, int>();
IsDiscrete = true;
}
