public void SameQueryHashGeneratesMultipleTrackMatches()
{
var groupedQueryResults = new GroupedQueryResults(10d, DateTime.Now);
var random = new Random(1);
int runs = 100;
int[] counts = new int[runs];
var trackRef = new ModelReference <uint>(1);
int k = 0;
Parallel.For(0, runs, i =>
{
counts[i] = random.Next(5, 10);
var queryPoint = new HashedFingerprint(new int[25], (uint)i, i * 1.48f, Array.Empty <byte>());
for (int j = 0; j < counts[i]; ++j)
{
var dbPoint = new SubFingerprintData(new int[25], (uint)k, k * 0.01f, new ModelReference <uint>((uint)Interlocked.Increment(ref k)), trackRef);
groupedQueryResults.Add(queryPoint, dbPoint, i);
}
});
var allMatches = groupedQueryResults.GetMatchesForTrack(trackRef).ToList();
Assert.AreEqual(counts.Sum(), allMatches.Count);
Assert.AreEqual(runs, allMatches.Select(m => m.QuerySequenceNumber).Distinct().Count());
}
private GroupedQueryResults GetSimilaritiesUsingNonBatchedStrategy(IEnumerable <HashedFingerprint> queryFingerprints, QueryConfiguration configuration, IModelService modelService)
{
var hashedFingerprints = queryFingerprints.ToList();
var groupedResults = new GroupedQueryResults(hashedFingerprints);
int hashesPerTable = configuration.FingerprintConfiguration.HashingConfig.NumberOfMinHashesPerTable;
Parallel.ForEach(hashedFingerprints, queryFingerprint =>
{
var subFingerprints = modelService.ReadSubFingerprints(queryFingerprint.HashBins, configuration);
foreach (var subFingerprint in subFingerprints)
{
int hammingSimilarity = similarityUtility.CalculateHammingSimilarity(queryFingerprint.HashBins, subFingerprint.Hashes, hashesPerTable);
groupedResults.Add(queryFingerprint, subFingerprint, hammingSimilarity);
}
});
return(groupedResults);
}
private GroupedQueryResults GetSimilaritiesUsingBatchedStrategy(IEnumerable <HashedFingerprint> queryFingerprints, QueryConfiguration configuration, IModelService modelService)
{
var hashedFingerprints = queryFingerprints as List <HashedFingerprint> ?? queryFingerprints.ToList();
var allCandidates = modelService.ReadSubFingerprints(hashedFingerprints.Select(querySubfingerprint => querySubfingerprint.HashBins), configuration);
var groupedResults = new GroupedQueryResults(hashedFingerprints);
int hashesPerTable = configuration.FingerprintConfiguration.HashingConfig.NumberOfMinHashesPerTable;
Parallel.ForEach(hashedFingerprints, queryFingerprint =>
{
var subFingerprints = allCandidates.Where(candidate => queryMath.IsCandidatePassingThresholdVotes(queryFingerprint, candidate, configuration.ThresholdVotes));
foreach (var subFingerprint in subFingerprints)
{
int hammingSimilarity = similarityUtility.CalculateHammingSimilarity(queryFingerprint.HashBins, subFingerprint.Hashes, hashesPerTable);
groupedResults.Add(queryFingerprint, subFingerprint, hammingSimilarity);
}
});
return(groupedResults);
}
public IEnumerable <Coverage> GetCoverages(TrackData trackData, GroupedQueryResults groupedQueryResults, QueryConfiguration configuration)
{
var fingerprintConfiguration = configuration.FingerprintConfiguration;
var matches = groupedQueryResults.GetMatchesForTrackOrderedByQueryAt(trackData.TrackReference);
double queryLength = groupedQueryResults.GetQueryLength(fingerprintConfiguration);
if (configuration.AllowMultipleMatchesOfTheSameTrackInQuery)
{
var sequences = longestIncreasingTrackSequence.FindAllIncreasingTrackSequences(matches);
var filtered = OverlappingRegionFilter.FilterOverlappingSequences(sequences);
return(filtered.Select(matchedSequence => GetCoverage(matchedSequence, queryLength, fingerprintConfiguration.FingerprintLengthInSeconds)));
}
return(new List <Coverage>
{
GetCoverage(matches, queryLength, fingerprintConfiguration.FingerprintLengthInSeconds)
});
}
public void ShouldCalculateQueryLengthCorrectly()
{
var configuration = new DefaultFingerprintConfiguration();
float delta = 0.05f;
int runs = 1000;
var bag = new ConcurrentBag <HashedFingerprint>();
Parallel.For(0, runs, i =>
{
var hashed = new HashedFingerprint(new int[0], (uint)i, i * delta, new string[0]);
bag.Add(hashed);
});
var groupedQueryResult = new GroupedQueryResults(bag);
double length = groupedQueryResult.GetQueryLength(configuration);
Assert.AreEqual(length, delta * (runs - 1) + configuration.FingerprintLengthInSeconds, 0.0001);
}
private GroupedQueryResults GetSimilaritiesUsingBatchedStrategy(IEnumerable <HashedFingerprint> queryFingerprints, QueryConfiguration configuration, DateTime relativeTo, IModelService modelService)
{
var hashedFingerprints = queryFingerprints as List <HashedFingerprint> ?? queryFingerprints.ToList();
var result = modelService.Query(hashedFingerprints.Select(hashedFingerprint => hashedFingerprint.HashBins), configuration);
double queryLength = hashedFingerprints.QueryLength(configuration.FingerprintConfiguration);
var groupedResults = new GroupedQueryResults(queryLength, relativeTo);
Parallel.ForEach(hashedFingerprints, queryFingerprint =>
{
var subFingerprints = result.Where(queryResult => QueryMath.IsCandidatePassingThresholdVotes(queryFingerprint.HashBins, queryResult.Hashes, configuration.ThresholdVotes));
foreach (var subFingerprint in subFingerprints)
{
double score = scoreAlgorithm.GetScore(queryFingerprint, subFingerprint, configuration);
groupedResults.Add(queryFingerprint, subFingerprint, score);
}
});
return(groupedResults);
}
public IEnumerable <Coverage> GetCoverages(TrackData trackData, GroupedQueryResults groupedQueryResults, QueryConfiguration configuration)
{
var fingerprintConfiguration = configuration.FingerprintConfiguration;
var matches = groupedQueryResults.GetMatchesForTrack(trackData.TrackReference).ToList();
if (!matches.Any())
{
return(Enumerable.Empty <Coverage>());
}
double queryLength = groupedQueryResults.QueryLength;
if (configuration.AllowMultipleMatchesOfTheSameTrackInQuery)
{
return(matches.EstimateIncreasingCoverages(queryLength, trackData.Length,
fingerprintConfiguration.FingerprintLengthInSeconds, configuration.PermittedGap));
}
return(new[] { matches.EstimateCoverage(queryLength, trackData.Length, fingerprintConfiguration.FingerprintLengthInSeconds, configuration.PermittedGap) });
}
public void MatchesShouldBeOrderedByQueryAt()
{
int runs = 1000;
var groupedQueryResults = new GroupedQueryResults(Enumerable.Empty <HashedFingerprint>());
var reference = new ModelReference <int>(1);
Parallel.For(0, runs, i =>
{
var hashed = new HashedFingerprint(new int[0], (uint)i, i, new string[0]);
var candidate = new SubFingerprintData(new int[0], (uint)i, runs - i, new ModelReference <uint>((uint)i), reference);
groupedQueryResults.Add(hashed, candidate, i);
});
var matchedWith = groupedQueryResults.GetMatchesForTrackOrderedByQueryAt(reference);
var ordered = matchedWith.Select(with => (int)with.QueryAt).ToList();
CollectionAssert.AreEqual(Enumerable.Range(0, runs), ordered);
}
public void ShouldAccumulateResults()
{
int runs = 1000;
var groupedQueryResults = new GroupedQueryResults(Enumerable.Empty <HashedFingerprint>());
var references = new[] { 1, 2, 3, 4, 5 }.Select(id => new ModelReference <int>(id)).ToArray();
Parallel.For(0, runs, i =>
{
var hashed = new HashedFingerprint(new int[0], (uint)i, i * 0.05f, new string[0]);
var candidate = new SubFingerprintData(new int[0], (uint)i, i * 0.07f, new ModelReference <uint>((uint)i), references[i % references.Length]);
groupedQueryResults.Add(hashed, candidate, i);
});
Assert.IsTrue(groupedQueryResults.ContainsMatches);
for (int i = 0; i < references.Length; ++i)
{
int pertrack = runs / references.Length;
int ham = (pertrack - 1) * runs / 2 + pertrack * i;
Assert.AreEqual(ham, groupedQueryResults.GetHammingSimilaritySumForTrack(references[i]));
}
var modelReferences = groupedQueryResults.GetTopTracksByHammingSimilarity(references.Length * 2).ToList();
for (int i = 0; i < references.Length; ++i)
{
Assert.AreEqual(references[references.Length - i - 1], modelReferences[i]);
}
var bestMatch = groupedQueryResults.GetBestMatchForTrack(references.Last());
Assert.AreEqual((runs - 1) * 0.05f, bestMatch.QueryAt, 0.000001);
Assert.AreEqual((runs - 1) * 0.07f, bestMatch.ResultAt, 0.000001);
for (int i = 0; i < references.Length; ++i)
{
var matchedWith = groupedQueryResults.GetMatchesForTrackOrderedByQueryAt(references[i]).ToList();
Assert.AreEqual(runs / references.Length, matchedWith.Count);
}
}
public IEnumerable <Coverage> GetCoverages(TrackData trackData, GroupedQueryResults groupedQueryResults, QueryConfiguration configuration)
{
var fingerprintConfiguration = configuration.FingerprintConfiguration;
var matches = groupedQueryResults.GetMatchesForTrack(trackData.TrackReference).ToList();
if (!matches.Any())
{
return(Enumerable.Empty <Coverage>());
}
double queryLength = groupedQueryResults.QueryLength;
if (configuration.AllowMultipleMatchesOfTheSameTrackInQuery)
{
double allowedGap = Math.Min(trackData.Length, queryLength);
var sequences = longestIncreasingTrackSequence.FindAllIncreasingTrackSequences(matches, allowedGap);
return(sequences.Select(sequence => new Coverage(sequence, queryLength, trackData.Length, fingerprintConfiguration.FingerprintLengthInSeconds, configuration.PermittedGap)));
}
return(new[] { matches.EstimateCoverage(queryLength, trackData.Length, fingerprintConfiguration.FingerprintLengthInSeconds, configuration.PermittedGap) });
}
