public void Execute(IAlgorithmData data)
{
while (this.queue.Count > 0)
{
this.queue.Dequeue().Execute(data);
}
}
public void Execute(IAlgorithmData data)
{
DataTEST dt = (DataTEST)data;
foreach (var item in dt.tokens)
{
dt.ngram.TryAdd(item, 0);
}
foreach (var item in dt.tokens)
{
dt.ngram[item] = dt.ngram[item] + 1;
}
dt.tokens = dt.tokens.Distinct().ToList <string>();
foreach (var item in dt.tokens)
{
dt.ngram[item] /= dt.ngram.Count();
}
Console.Write("Dictionary: ");
foreach (var item in dt.tokens)
{
if (dt.ngram[item].ToString().Length > 6)
{
Console.Write("|" + item + " " + dt.ngram[item].ToString().Substring(0, 6));
}
else
{
Console.Write("|" + item + " " + dt.ngram[item].ToString());
}
}
Console.WriteLine();
Console.Write("Dictionary size: " + dt.ngram.Count());
Console.WriteLine();
}
public StoredProceduresController(ILogger <StoredProceduresController> logger, ILabData labData, IPatientInformation patientInformation, IContactNetworkFactory contact, IAlgorithmData algorithm, IPatinet_Stay patinet_Stay)
{
_logger = logger;
_labData = labData;
_patientInformation = patientInformation;
_contact = contact;
_algorithm = algorithm;
_patinet_Stay = patinet_Stay;
}
public void Execute(IAlgorithmData data)
{
DataTEST dt = (DataTEST)data;
Console.WriteLine("Original: " + dt.data);
dt.normalized = dt.data.ToLower();
dt.normalized = dt.normalized.Replace(" ", "");
dt.normalized = dt.normalized.Replace(".", "");
dt.normalized = dt.normalized.Replace(",", "");
Console.WriteLine("Normalized: " + dt.normalized);
}
public void Execute(IAlgorithmData data)
{
DataTEST dt = (DataTEST)data;
for (int i = 0; i < dt.normalized.Length - 1; i++)
{
dt.tokens.Add(dt.normalized[i].ToString() + dt.normalized[i + 1].ToString());
}
Console.Write("Tokens: ");
foreach (var item in dt.tokens)
{
Console.Write(item + " ");
}
Console.WriteLine();
}
public void RefreshPage()
{
if (_context.PreferencesChanged)
{
_model.Initialize();
}
AlgorithmOptions.Clear();
AlgorithmElements.Clear();
for (int i = 0; i < _context.GetAlgorithms.Count; i++)
{
IAlgorithmData data = _context.GetAlgorithms[i];
_model.VisitAlgorithm(i,
(x) => RefreshGaleShapley(data.Name, i),
(x) => RefreshGenetic(data.Name, i, x.Settings));
}
OnPropertyChanged("AlgorithmOptions");
}
public double Distance(IAlgorithmData data1, IAlgorithmData data2)
{
double temp = 0;
DataTEST dt1 = (DataTEST)data1;
DataTEST dt2 = (DataTEST)data2;
foreach (var item in dt1.ngram)
{
if (dt2.ngram.ContainsKey(item.Key))
{
temp += Math.Abs(item.Value - dt2.ngram[item.Key]);
}
else
{
temp += item.Value;
}
}
Console.WriteLine("Distance from " + dt1.name + " to " + dt2.name + " = " + temp);
return(temp);
}
public SoundexAlgorithm(IAlgorithmData data, IAlgorithm algorithm)
{
soundexData = data;
_algorithm = algorithm;
}
public SoundexAlgorithm(IAlgorithmData data)
{
_algorithm = new SoundexAlgorithm();
soundexData = data;
}
public SoundexAlgorithm()
{
soundexData = new SoundexData();
}
public SoundexAlgorithmTests()
{
soundexData = new SoundexData();
soundex = new SoundexAlgorithm(soundexData);
}
public void DoStep(IAlgorithmData data)
{
this.queue.Dequeue().Execute(data);
}
public void Init()
{
soundexData = new SoundexData();
soundex = new SoundexAlgorithm(soundexData);
}
