static void labeledStorageTest()
{
LabeledStorage<string> testing = new LabeledStorage<string>();
testing.Add("A", "letter", "uppercase", "a");
testing.Add("C", "letter", "uppercase", "c");
testing.Add("B", "letter", "uppercase", "b");
testing.Add("b", "letter", "lowercase", "b");
testing.Add("D", "letter", "uppercase", "d");
testing.Add("e", "letter", "lowercase", "e");
testing.Add("f", "letter", "lowercase", "f");
testing.Add("F", "letter", "uppercase", "f");
testing.Add("g", "letter", "lowercase", "g");
testing["g"].PrintToOutputWindow();
testing.LookupValue("uppercase").PrintToOutputWindow();
//Debug.Print(string.Concat(testing.LookupValue("uppercase").Select(i => i.ToString() + "\n")));
}
static void Main(string[] args)
{
//Open some input object
//Generate heuristics from that input object (possibly do some iterations)
//Add the input object and labels to dictionary
//Perform a probabilistic lookup against the library
LabeledStorage<string> testing = new LabeledStorage<string>();
//SignalGenerator.GaussianDistribution(10000).GetHistogram(.1).Graph();
//SignalGenerator.PowerLawDistribution(100000).GetHistogram(10).GraphLogLog();
//Random rand = new Random();
//Signal randomNumbers = new Signal();
//for(int i=0; i< 100000; i++){
// randomNumbers.Add(rand.NextDouble());
//}
//randomNumbers.GetHistogram(.0005).GetSignal().GetHistogram(1).Graph();
}
