print_start = true;
start = time(NULL);
- ifstream in;
- openInputFile(distfile, in);
- string firstName, secondName;
- float distance;
-
- cluster = new HCluster(rabund, list, method);
+ //ifstream in;
+ //openInputFile(distfile, in);
+
+ cluster = new HCluster(rabund, list, method, distfile, globaldata->nameMap, cutoff);
vector<seqDist> seqs; seqs.resize(1); // to start loop
while (seqs.size() != 0){
- seqs = cluster->getSeqs(in, globaldata->nameMap, cutoff);
+ seqs = cluster->getSeqs();
for (int i = 0; i < seqs.size(); i++) { //-1 means skip me
- if (print_start && isTrue(timing)) {
- mothurOut("Clustering (" + tag + ") dist " + toString(distance) + "/"
- + toString(roundDist(distance, precision))
- + "\t(precision: " + toString(precision) + ")");
- cout.flush();
- print_start = false;
- }
-
-
if (seqs[i].seq1 != seqs[i].seq2) {
- cluster->update(seqs[i].seq1, seqs[i].seq2, seqs[i].dist);
+ bool clustered = cluster->update(seqs[i].seq1, seqs[i].seq2, seqs[i].dist);
float rndDist = roundDist(seqs[i].dist, precision);
-
- if((previousDist <= 0.0000) && (seqs[i].dist != previousDist)){
- printData("unique");
- }
- else if((rndDist != rndPreviousDist)){
- printData(toString(rndPreviousDist, length-1));
+
+ if (clustered) {
+ if((previousDist <= 0.0000) && (seqs[i].dist != previousDist)){
+ printData("unique");
+ }
+ else if((rndDist != rndPreviousDist)){
+ printData(toString(rndPreviousDist, length-1));
+ }
}
previousDist = seqs[i].dist;
}
}
- in.close();
+ //in.close();
- if (print_start && isTrue(timing)) {
- //mothurOut("Clustering (" + tag + ") for distance " + toString(previousDist) + "/" + toString(rndPreviousDist)
- //+ "\t(precision: " + toString(precision) + ", Nodes: " + toString(matrix->getNNodes()) + ")");
- cout.flush();
- print_start = false;
- }
-
if(previousDist <= 0.0000){
printData("unique");
}