private static IEnumerable <PredictionInfo> GetRefinedCandidates(IEnumerable <CsccContextInfo> baseCandidates,
CsccContextInfo currentContext)
{
// Hamming distance closeness
var similarities = new List <PredictionInfo>();
foreach (var baseCandidate in baseCandidates)
{
similarities.Add(new PredictionInfo(baseCandidate, baseCandidate.Similarity(currentContext)));
}
// Sort by Hamming distance
similarities.Sort();
// Take k = 200 most similar candidate contexts
var refinedCandidates = similarities.Take(_maximumRefinedCandidates).ToList();
for (var i = 0; i < refinedCandidates.Count; i++)
{
refinedCandidates[i].ExtendedSimilarity = refinedCandidates[i].Context.NormalizedLCS(currentContext);
refinedCandidates[i].LocalSimilarity = refinedCandidates[i].Context.LevenshteinSimilarity(currentContext);
if (!refinedCandidates[i].IsSimilar())
{
refinedCandidates.RemoveAt(i);
}
}
refinedCandidates.Sort();
return(refinedCandidates);
}
public List <string> GetPredictions(CsccContextInfo currentContext, string type)
{
var refinedCandidates = GetRefinedCandidates(GetBaseCandidates(type), currentContext);
var predictions = new List <string>();
foreach (var refinedCandidate in refinedCandidates)
{
if (!predictions.Contains(refinedCandidate.Context.Invocation))
{
predictions.Add(refinedCandidate.Context.Invocation);
}
if (predictions.Count == _maximumPredictions)
{
break;
}
}
return(predictions);
}
public bool IsSimilar(CsccContextInfo context)
{
return(LocalSimilarity(context) >= LowerThreshold ||
ExtendedSimilarity(context) >= LowerThreshold);
}
public float Similarity(CsccContextInfo context)
{
return(Math.Max(LocalSimilarity(context), ExtendedSimilarity(context)));
}
