public void AccumulateHammingSimilarity(IEnumerable <SubFingerprintData> candidates, HashedFingerprint expected, ConcurrentDictionary <IModelReference, ResultEntryAccumulator> accumulator)
{
foreach (var subFingerprint in candidates)
{
byte[] signature = hashConverter.ToBytes(subFingerprint.Hashes, expected.SubFingerprint.Length);
int hammingSimilarity = CalculateHammingSimilarity(expected.SubFingerprint, signature);
SubFingerprintData fingerprint = subFingerprint;
accumulator.AddOrUpdate(
subFingerprint.TrackReference,
reference => new ResultEntryAccumulator(expected, fingerprint, hammingSimilarity),
(reference, entryAccumulator) => entryAccumulator.Add(expected, fingerprint, hammingSimilarity));
}
}
public IList <HashedFingerprint> ReadHashedFingerprintsByTrackReference(IModelReference trackReference)
{
return(this.PrepareStoredProcedure(SpReadSubFingerprintsByTrackId)
.WithParameter("TrackId", trackReference.Id, DbType.Int32)
.Execute()
.AsListOfModel <SubFingerprintDTO>()
.Select(dto =>
{
var hashes = GetHashes(dto);
byte[] signature = hashConverter.ToBytes(hashes, 100);
return new HashedFingerprint(signature, hashes, dto.SequenceNumber, dto.SequenceAt, string.IsNullOrEmpty(dto.Clusters) ? Enumerable.Empty <string>() : dto.Clusters.Split(','));
}).ToList());
}
private HashedFingerprint GetHashedFingerprint(SubFingerprintDTO subFingerprintDto)
{
long[] hashBins = dictionaryToHashConverter.FromSolrDictionaryToHashes(subFingerprintDto.Hashes);
byte[] signature = hashConverter.ToBytes(hashBins, fingerprintLength);
return(new HashedFingerprint(signature, hashBins, subFingerprintDto.SequenceNumber, subFingerprintDto.SequenceAt, subFingerprintDto.Clusters));
}