#include "mothur.h"
#include "command.hpp"
-#include "alignment.hpp"
+//#include "alignment.hpp"
#include "classify.h"
//KNN and Bayesian methods modeled from algorithms in
class ClassifySeqsCommand : public Command {
public:
- ClassifySeqsCommand(string);
+ ClassifySeqsCommand(string);
+ ClassifySeqsCommand();
~ClassifySeqsCommand();
+ vector<string> getRequiredParameters();
+ vector<string> getValidParameters();
+ vector<string> getRequiredFiles();
+ map<string, vector<string> > getOutputFiles() { return outputTypes; }
int execute();
void help();
private:
struct linePair {
- int start;
- int numSeqs;
- linePair(int i, int j) : start(i), numSeqs(j) {}
+ unsigned long int start;
+ unsigned long int end;
+ linePair(unsigned long int i, unsigned long int j) : start(i), end(j) {}
};
+
vector<int> processIDS; //processid
vector<linePair*> lines;
vector<string> fastaFileNames;
vector<string> namefileNames;
- map<string, int> nameMap;
- map<string, int>::iterator itNames;
+ vector<string> groupfileNames;
+ vector<string> outputNames;
+ map<string, vector<string> > nameMap;
+ map<string, vector<string> >::iterator itNames;
+ map<string, vector<string> > outputTypes;
Classify* classify;
- string fastaFileName, templateFileName, distanceFileName, namefile, search, method, taxonomyFileName, outputDir;
+ string fastaFileName, templateFileName, distanceFileName, namefile, search, method, taxonomyFileName, outputDir, groupfile;
int processors, kmerSize, numWanted, cutoff, iters;
float match, misMatch, gapOpen, gapExtend;
bool abort, probs;
int driver(linePair*, string, string, string);
void appendTaxFiles(string, string);
- void createProcesses(string, string, string);
+ int createProcesses(string, string, string);
string addUnclassifieds(string, int);
+
+ int MPIReadNamesFile(string);
+ #ifdef USE_MPI
+ int driverMPI(int, int, MPI_File&, MPI_File&, MPI_File&, vector<unsigned long int>&);
+ #endif
};
#endif