/// <summary>
/// Builds an index from the DNA dataset
/// </summary>
public static void DnaIndex()
{
DateTime startTime = DateTime.Now;
Util.NormalizationHandler = new Util.Normalize(Util.MeanZero_Normalization);
const string DATA_FILE = @"M:\Datasets\DNA\Dna2Ts\isax2.0experiment\16.mat.dat";
Index <Meta2DataFormat> si = new Index <Meta2DataFormat>(0, new IndexOptions("root"));
DataLoader dl = new DnaDataLoader(si, DATA_FILE);
InsertTimeSeries(dl);
Index <Meta2DataFormat> .Save(Globals.IndexRootDir, si);
Index <Meta2DataFormat> si2 = Index <Meta2DataFormat> .Load(Globals.IndexRootDir);
DateTime endConstructionTime = DateTime.Now;
Console.WriteLine("Index Construction Time: {0}", endConstructionTime - startTime);
}
public static void DnaExperiment()
{
Util.NormalizationHandler = new Util.Normalize(Util.MeanZero_Normalization);
// in-memory data, referenced by the index
const string DATAFOLDER = @"K:\Datasets\DNA\Dna2Ts\Monkey_Binary";
// load index
Index <Meta2DataFormat> si = Index <Meta2DataFormat> .Load(Globals.IndexRootDir);
// populate in-memory data
DnaDataLoader.LoadDnaToMetaBuffer(DATAFOLDER);
// generate queries
DateTime queryStart = DateTime.Now;
int numQueries = 0;
string[] humanChrs = Directory.GetFiles(@"K:\Datasets\DNA\Dna2Ts\Human_Binary", "*.dat");
Array.Sort(humanChrs, new NaturalStringComparer());
Dictionary <string, DnaChrResult> queryResult = new Dictionary <string, DnaChrResult>(humanChrs.Length);
for (int chrNo = 0; chrNo < humanChrs.Length; ++chrNo)
{
string chrFile = humanChrs[chrNo];
GC.Collect();
using (BinaryReader br = new BinaryReader(new FileStream(chrFile, FileMode.Open, FileAccess.Read)))
{
List <DnaSearchResult> qResults = new List <DnaSearchResult>();
// List<Meta2DataFormat> _queryApproxRes = new List<Meta2DataFormat>();
// List<double> _dists = new List<double>();
// List<int> _queryPos = new List<int>();
long fileLength = br.BaseStream.Length / sizeof(int);
int posShift = Globals.TimeSeriesLength / 4; // shift by quarters
double[] dnaChr = new double[(int)Math.Floor((fileLength / sizeof(int)) / (double)DnaDataLoader.SAMPLERATE)];
Console.WriteLine("F:{0} OrigLen:{1} newLen:{2} Shift:{3}", chrFile, fileLength, dnaChr.Length, posShift);
// downsample
int count = 0;
double sum = 0;
for (int i = 0; i < dnaChr.Length; ++i)
{
sum = 0;
count = 0;
while (count < DnaDataLoader.SAMPLERATE)
{
sum += br.ReadInt32();
count++;
}
dnaChr[i] = sum / DnaDataLoader.SAMPLERATE;
}
double[] ts = new double[Globals.TimeSeriesLength];
for (int pos = 0; pos < dnaChr.Length - Globals.TimeSeriesLength; pos += posShift)
{
numQueries += 2;
Array.Copy(dnaChr, pos, ts, 0, Globals.TimeSeriesLength);
double mean = Util.Mean(ts, 0, ts.Length - 1);
for (int k = 0; k < ts.Length; ++k)
{
ts[k] = ts[k] - mean;
}
TermEntry tEntry = si.ApproximateSearch(ts);
List <Meta2DataFormat> termNodeEntries = si.ReturnDataFormatFromTermEntry(tEntry);
double bsfDist = Double.MaxValue;
Meta2DataFormat bsfMeta = new Meta2DataFormat();
foreach (Meta2DataFormat m in termNodeEntries)
{
double dist = Util.EuclideanDistance(Util.NormalizationHandler(m.GetTimeSeries()), ts);
if (dist < bsfDist)
{
bsfDist = dist;
bsfMeta = m;
}
}
qResults.Add(new DnaSearchResult()
{
dist = bsfDist,
matchingChr = bsfMeta._chrNo,
matchingPos = bsfMeta._pos,
queryChr = chrNo,
queryPos = pos,
});
// reverse
ts = ts.Reverse().ToArray();
tEntry = si.ApproximateSearch(ts);
termNodeEntries = si.ReturnDataFormatFromTermEntry(tEntry);
bsfDist = Double.MaxValue;
bsfMeta = new Meta2DataFormat();
foreach (Meta2DataFormat m in termNodeEntries)
{
double dist = Util.EuclideanDistance(Util.NormalizationHandler(m.GetTimeSeries()), ts);
if (dist < bsfDist)
{
bsfDist = dist;
bsfMeta = m;
}
}
qResults.Add(new DnaSearchResult()
{
dist = bsfDist,
matchingChr = bsfMeta._chrNo,
matchingPos = bsfMeta._pos,
queryChr = chrNo,
queryPos = pos,
});
}
queryResult.Add(chrFile, new DnaChrResult()
{
results = qResults
});
}
}
DateTime queryStop = DateTime.Now;
Console.WriteLine("{0} Queries, {1} TimeElapsed.", numQueries, queryStop - queryStart);
//// print results
using (StreamWriter sw = new StreamWriter(Path.Combine(Globals.IndexRootDir, "queryOutput.txt")))
{
foreach (KeyValuePair <string, DnaChrResult> kvp in queryResult)
{
// Console.WriteLine("HumanChromosome:{0}", kvp.Key);
// Console.WriteLine("AverageDistance:{0}", kvp.Value.AverageDistance);
// Console.WriteLine();
foreach (DnaSearchResult sr in kvp.Value.results)
{
sw.WriteLine(sr.ToString());
}
}
}
//using (StreamWriter sw = new StreamWriter(Path.Combine(Globals.IndexRootDir, "queryOutputTop.txt")))
//{
// foreach (KeyValuePair<string, DnaChrResult> kvp in queryResult)
// {
// // Console.WriteLine("HumanChromosome:{0}", kvp.Key);
// // Console.WriteLine("AverageDistance:{0}", kvp.Value.AverageDistance);
// // Console.WriteLine();
// List<DnaSearchResult>sr = kvp.Value.results;
// sr.Sort();
// sr = sr.GetRange(0, 10);
// Console.WriteLine("For Human Chr:{0}", kvp.Key);
// var counts = from q in sr
// group q by q.matchingChr into g
// select new { Chr = g.Key, NumHits = g.Count() };
// foreach (var v in counts)
// Console.WriteLine("{0} : {1}", v.Chr, v.NumHits);
// }
// // //{
// // // for (int i = 0; i < kvp.Value.queryTs.Count; ++i)
// // // {
// // // sw.WriteLine(Util.ArrayToString(kvp.Value.queryTs[i]));
// // // sw.WriteLine(Util.ArrayToString(Util.NormalizationHandler(kvp.Value.queryApproxRes[i].GetTimeSeries())));
// // // }
// // // //foreach (double[] d in kvp.Value.queryTs)
// // // // sw.WriteLine(Util.ArrayToString(d));
//}
}