public void Probability_Simple_Test()
{
var Inputs = InputBuilder.CreateInputs(MinInputs, MaxInputs, MinWeight, MaxWeight);
var Selector = new WeightedSelector<string>();
Selector.Add(Inputs);
var Helper = new ProbabilityHelpers(Selector, Inputs, Trials, AcceptableDeviation);
Console.WriteLine("Running {0} trials with {1} items (total weight: {2})",
Trials,
Selector.ReadOnlyItems.Count,
Selector.TotalWeight());
var ResultCounter = Helper.RunTrialsAndCountResults();
foreach (var Key in ResultCounter.Keys)
Helper.ExamineMetricsForKey(Key);
Assert.IsTrue(ResultCounter.Keys.Count == Inputs.Count,
string.Format("Expected {0} outputs, actual: {1}. Details: {2}",
Inputs.Count,
ResultCounter.Keys.Count,
Helper.GetErrorMessage()));
}
public void Probability_Simple_Test()
{
var Inputs = InputBuilder.CreateInputs(MinInputs, MaxInputs, MinWeight, MaxWeight);
var Selector = new WeightedSelector <string>();
Selector.Add(Inputs);
var Helper = new ProbabilityHelpers(Selector, Inputs, Trials, AcceptableDeviation);
Console.WriteLine("Running {0} trials with {1} items (total weight: {2})",
Trials,
Selector.ReadOnlyItems.Count,
Selector.TotalWeight());
var ResultCounter = Helper.RunTrialsAndCountResults();
foreach (var Key in ResultCounter.Keys)
{
Helper.ExamineMetricsForKey(Key);
}
Assert.IsTrue(ResultCounter.Keys.Count == Inputs.Count,
string.Format("Expected {0} outputs, actual: {1}. Details: {2}",
Inputs.Count,
ResultCounter.Keys.Count,
Helper.GetErrorMessage()));
}
public void Probability_ExtremeInputs_Test()
{
var Inputs = InputBuilder.CreateInputs(MinInputs, MaxInputs, MinWeight, MaxWeight);
var Selector = new WeightedSelector <string>();
Selector.Add(Inputs);
var Helper = new ProbabilityHelpers(Selector, Inputs, Trials, AcceptableDeviation);
Console.WriteLine("Running {0} trials with {1} items (total weight: {2})",
Trials,
Selector.ReadOnlyItems.Count,
Selector.TotalWeight());
var ResultCounter = Helper.RunTrialsAndCountResults();
foreach (var Key in ResultCounter.Keys)
{
Helper.ExamineMetricsForKey(Key);
}
//Note that in this test, a ton of items will never be selected because there are so many.
//If we did tens of millions of trials that would counter it, but it might take 30s+, which is
//unecessary.
Console.WriteLine("Expected {0} outputs, actual: {1}. Details: {2}",
Inputs.Count,
ResultCounter.Keys.Count,
Helper.GetErrorMessage());
}
public void Probability_ExtremeInputs_Test()
{
var Inputs = InputBuilder.CreateInputs(MinInputs, MaxInputs, MinWeight, MaxWeight);
var Selector = new WeightedSelector<string>();
Selector.Add(Inputs);
var Helper = new ProbabilityHelpers(Selector, Inputs, Trials, AcceptableDeviation);
Console.WriteLine("Running {0} trials with {1} items (total weight: {2})",
Trials,
Selector.ReadOnlyItems.Count,
Selector.TotalWeight());
var ResultCounter = Helper.RunTrialsAndCountResults();
foreach (var Key in ResultCounter.Keys)
Helper.ExamineMetricsForKey(Key);
//Note that in this test, a ton of items will never be selected because there are so many.
//If we did tens of millions of trials that would counter it, but it might take 30s+, which is
//unecessary.
Console.WriteLine("Expected {0} outputs, actual: {1}. Details: {2}",
Inputs.Count,
ResultCounter.Keys.Count,
Helper.GetErrorMessage());
}
private decimal GetSelectionProportion(string key)
{
//Over all of our tests, how many times did we select this key?
var Total = Selector.TotalWeight();
var Item = (from WeightedItem <string> W in Selector.ReadOnlyItems
where W.Value == key
select W).First();
return(((decimal)Item.Weight / Total) * 100);
}