--- /dev/null
+/*
+ * matrixoutputcommand.cpp
+ * Mothur
+ *
+ * Created by Sarah Westcott on 5/20/09.
+ * Copyright 2009 Schloss Lab UMASS Amherst. All rights reserved.
+ *
+ */
+
+#include "matrixoutputcommand.h"
+#include "subsample.h"
+
+//**********************************************************************************************************************
+vector<string> MatrixOutputCommand::setParameters(){
+ try {
+ CommandParameter pshared("shared", "InputTypes", "", "", "none", "none", "none",false,true); parameters.push_back(pshared);
+ CommandParameter plabel("label", "String", "", "", "", "", "",false,false); parameters.push_back(plabel);
+ CommandParameter psubsample("subsample", "String", "", "", "", "", "",false,false); parameters.push_back(psubsample);
+ CommandParameter pgroups("groups", "String", "", "", "", "", "",false,false); parameters.push_back(pgroups);
+ CommandParameter pcalc("calc", "Multiple", "sharedsobs-sharedchao-sharedace-jabund-sorabund-jclass-sorclass-jest-sorest-thetayc-thetan-kstest-sharednseqs-ochiai-anderberg-kulczynski-kulczynskicody-lennon-morisitahorn-braycurtis-whittaker-odum-canberra-structeuclidean-structchord-hellinger-manhattan-structpearson-soergel-spearman-structkulczynski-speciesprofile-hamming-structchi2-gower-memchi2-memchord-memeuclidean-mempearson", "jclass-thetayc", "", "", "",true,false); parameters.push_back(pcalc);
+ CommandParameter poutput("output", "Multiple", "lt-square", "lt", "", "", "",false,false); parameters.push_back(poutput);
+ CommandParameter pprocessors("processors", "Number", "", "1", "", "", "",false,false); parameters.push_back(pprocessors);
+ CommandParameter piters("iters", "Number", "", "1000", "", "", "",false,false); parameters.push_back(piters);
+ CommandParameter pinputdir("inputdir", "String", "", "", "", "", "",false,false); parameters.push_back(pinputdir);
+ CommandParameter poutputdir("outputdir", "String", "", "", "", "", "",false,false); parameters.push_back(poutputdir);
+
+ vector<string> myArray;
+ for (int i = 0; i < parameters.size(); i++) { myArray.push_back(parameters[i].name); }
+ return myArray;
+ }
+ catch(exception& e) {
+ m->errorOut(e, "MatrixOutputCommand", "setParameters");
+ exit(1);
+ }
+}
+//**********************************************************************************************************************
+string MatrixOutputCommand::getHelpString(){
+ try {
+ string helpString = "";
+ ValidCalculators validCalculator;
+ helpString += "The dist.shared command parameters are shared, groups, calc, output, processors, subsample, iters and label. shared is a required, unless you have a valid current file.\n";
+ helpString += "The groups parameter allows you to specify which of the groups in your groupfile you would like included used.\n";
+ helpString += "The group names are separated by dashes. The label parameter allows you to select what distance levels you would like distance matrices created for, and is also separated by dashes.\n";
+ helpString += "The iters parameter allows you to choose the number of times you would like to run the subsample.\n";
+ helpString += "The subsample parameter allows you to enter the size pergroup of the sample or you can set subsample=T and mothur will use the size of your smallest group.\n";
+ helpString += "The dist.shared command should be in the following format: dist.shared(groups=yourGroups, calc=yourCalcs, label=yourLabels).\n";
+ helpString += "The output parameter allows you to specify format of your distance matrix. Options are lt, and square. The default is lt.\n";
+ helpString += "Example dist.shared(groups=A-B-C, calc=jabund-sorabund).\n";
+ helpString += "The default value for groups is all the groups in your groupfile.\n";
+ helpString += "The default value for calc is jclass and thetayc.\n";
+ helpString += validCalculator.printCalc("matrix");
+ helpString += "The dist.shared command outputs a .dist file for each calculator you specify at each distance you choose.\n";
+ helpString += "Note: No spaces between parameter labels (i.e. groups), '=' and parameters (i.e.yourGroups).\n";
+ return helpString;
+ }
+ catch(exception& e) {
+ m->errorOut(e, "MatrixOutputCommand", "getHelpString");
+ exit(1);
+ }
+}
+//**********************************************************************************************************************
+MatrixOutputCommand::MatrixOutputCommand(){
+ try {
+ abort = true; calledHelp = true;
+ setParameters();
+ vector<string> tempOutNames;
+ outputTypes["phylip"] = tempOutNames;
+ }
+ catch(exception& e) {
+ m->errorOut(e, "MatrixOutputCommand", "MatrixOutputCommand");
+ exit(1);
+ }
+}
+//**********************************************************************************************************************
+
+MatrixOutputCommand::MatrixOutputCommand(string option) {
+ try {
+ abort = false; calledHelp = false;
+ allLines = 1;
+
+ //allow user to run help
+ if(option == "help") { help(); abort = true; calledHelp = true; }
+ else if(option == "citation") { citation(); abort = true; calledHelp = true;}
+
+ else {
+ vector<string> myArray = setParameters();
+
+ OptionParser parser(option);
+ map<string,string> parameters = parser.getParameters();
+ map<string,string>::iterator it;
+
+ ValidParameters validParameter;
+
+ //check to make sure all parameters are valid for command
+ for (it = parameters.begin(); it != parameters.end(); it++) {
+ if (validParameter.isValidParameter(it->first, myArray, it->second) != true) { abort = true; }
+ }
+
+ //initialize outputTypes
+ vector<string> tempOutNames;
+ outputTypes["phylip"] = tempOutNames;
+
+ //if the user changes the input directory command factory will send this info to us in the output parameter
+ string inputDir = validParameter.validFile(parameters, "inputdir", false);
+ if (inputDir == "not found"){ inputDir = ""; }
+ else {
+ string path;
+ it = parameters.find("shared");
+ //user has given a template file
+ if(it != parameters.end()){
+ path = m->hasPath(it->second);
+ //if the user has not given a path then, add inputdir. else leave path alone.
+ if (path == "") { parameters["shared"] = inputDir + it->second; }
+ }
+ }
+
+ sharedfile = validParameter.validFile(parameters, "shared", true);
+ if (sharedfile == "not found") {
+ //if there is a current shared file, use it
+ sharedfile = m->getSharedFile();
+ if (sharedfile != "") { m->mothurOut("Using " + sharedfile + " as input file for the shared parameter."); m->mothurOutEndLine(); }
+ else { m->mothurOut("You have no current sharedfile and the shared parameter is required."); m->mothurOutEndLine(); abort = true; }
+ }else if (sharedfile == "not open") { sharedfile = ""; abort = true; }
+ else { m->setSharedFile(sharedfile); }
+
+ //if the user changes the output directory command factory will send this info to us in the output parameter
+ outputDir = validParameter.validFile(parameters, "outputdir", false); if (outputDir == "not found"){
+ outputDir = "";
+ outputDir += m->hasPath(sharedfile); //if user entered a file with a path then preserve it
+ }
+
+ //check for optional parameter and set defaults
+ // ...at some point should added some additional type checking...
+ label = validParameter.validFile(parameters, "label", false);
+ if (label == "not found") { label = ""; }
+ else {
+ if(label != "all") { m->splitAtDash(label, labels); allLines = 0; }
+ else { allLines = 1; }
+ }
+
+ output = validParameter.validFile(parameters, "output", false); if(output == "not found"){ output = "lt"; }
+ if ((output != "lt") && (output != "square")) { m->mothurOut(output + " is not a valid output form. Options are lt and square. I will use lt."); m->mothurOutEndLine(); output = "lt"; }
+
+ groups = validParameter.validFile(parameters, "groups", false);
+ if (groups == "not found") { groups = ""; }
+ else {
+ m->splitAtDash(groups, Groups);
+ m->setGroups(Groups);
+ }
+
+ string temp = validParameter.validFile(parameters, "processors", false); if (temp == "not found"){ temp = m->getProcessors(); }
+ m->setProcessors(temp);
+ m->mothurConvert(temp, processors);
+
+ calc = validParameter.validFile(parameters, "calc", false);
+ if (calc == "not found") { calc = "jclass-thetayc"; }
+ else {
+ if (calc == "default") { calc = "jclass-thetayc"; }
+ }
+ m->splitAtDash(calc, Estimators);
+ if (m->inUsersGroups("citation", Estimators)) {
+ ValidCalculators validCalc; validCalc.printCitations(Estimators);
+ //remove citation from list of calcs
+ for (int i = 0; i < Estimators.size(); i++) { if (Estimators[i] == "citation") { Estimators.erase(Estimators.begin()+i); break; } }
+ }
+
+ temp = validParameter.validFile(parameters, "iters", false); if (temp == "not found") { temp = "1000"; }
+ m->mothurConvert(temp, iters);
+
+ temp = validParameter.validFile(parameters, "subsample", false); if (temp == "not found") { temp = "F"; }
+ if (m->isNumeric1(temp)) { m->mothurConvert(temp, subsampleSize); subsample = true; }
+ else {
+ if (m->isTrue(temp)) { subsample = true; subsampleSize = -1; } //we will set it to smallest group later
+ else { subsample = false; }
+ }
+
+ if (subsample == false) { iters = 1; }
+
+ if (abort == false) {
+
+ ValidCalculators validCalculator;
+
+ int i;
+ for (i=0; i<Estimators.size(); i++) {
+ if (validCalculator.isValidCalculator("matrix", Estimators[i]) == true) {
+ if (Estimators[i] == "sharedsobs") {
+ matrixCalculators.push_back(new SharedSobsCS());
+ }else if (Estimators[i] == "sharedchao") {
+ matrixCalculators.push_back(new SharedChao1());
+ }else if (Estimators[i] == "sharedace") {
+ matrixCalculators.push_back(new SharedAce());
+ }else if (Estimators[i] == "jabund") {
+ matrixCalculators.push_back(new JAbund());
+ }else if (Estimators[i] == "sorabund") {
+ matrixCalculators.push_back(new SorAbund());
+ }else if (Estimators[i] == "jclass") {
+ matrixCalculators.push_back(new Jclass());
+ }else if (Estimators[i] == "sorclass") {
+ matrixCalculators.push_back(new SorClass());
+ }else if (Estimators[i] == "jest") {
+ matrixCalculators.push_back(new Jest());
+ }else if (Estimators[i] == "sorest") {
+ matrixCalculators.push_back(new SorEst());
+ }else if (Estimators[i] == "thetayc") {
+ matrixCalculators.push_back(new ThetaYC());
+ }else if (Estimators[i] == "thetan") {
+ matrixCalculators.push_back(new ThetaN());
+ }else if (Estimators[i] == "kstest") {
+ matrixCalculators.push_back(new KSTest());
+ }else if (Estimators[i] == "sharednseqs") {
+ matrixCalculators.push_back(new SharedNSeqs());
+ }else if (Estimators[i] == "ochiai") {
+ matrixCalculators.push_back(new Ochiai());
+ }else if (Estimators[i] == "anderberg") {
+ matrixCalculators.push_back(new Anderberg());
+ }else if (Estimators[i] == "kulczynski") {
+ matrixCalculators.push_back(new Kulczynski());
+ }else if (Estimators[i] == "kulczynskicody") {
+ matrixCalculators.push_back(new KulczynskiCody());
+ }else if (Estimators[i] == "lennon") {
+ matrixCalculators.push_back(new Lennon());
+ }else if (Estimators[i] == "morisitahorn") {
+ matrixCalculators.push_back(new MorHorn());
+ }else if (Estimators[i] == "braycurtis") {
+ matrixCalculators.push_back(new BrayCurtis());
+ }else if (Estimators[i] == "whittaker") {
+ matrixCalculators.push_back(new Whittaker());
+ }else if (Estimators[i] == "odum") {
+ matrixCalculators.push_back(new Odum());
+ }else if (Estimators[i] == "canberra") {
+ matrixCalculators.push_back(new Canberra());
+ }else if (Estimators[i] == "structeuclidean") {
+ matrixCalculators.push_back(new StructEuclidean());
+ }else if (Estimators[i] == "structchord") {
+ matrixCalculators.push_back(new StructChord());
+ }else if (Estimators[i] == "hellinger") {
+ matrixCalculators.push_back(new Hellinger());
+ }else if (Estimators[i] == "manhattan") {
+ matrixCalculators.push_back(new Manhattan());
+ }else if (Estimators[i] == "structpearson") {
+ matrixCalculators.push_back(new StructPearson());
+ }else if (Estimators[i] == "soergel") {
+ matrixCalculators.push_back(new Soergel());
+ }else if (Estimators[i] == "spearman") {
+ matrixCalculators.push_back(new Spearman());
+ }else if (Estimators[i] == "structkulczynski") {
+ matrixCalculators.push_back(new StructKulczynski());
+ }else if (Estimators[i] == "speciesprofile") {
+ matrixCalculators.push_back(new SpeciesProfile());
+ }else if (Estimators[i] == "hamming") {
+ matrixCalculators.push_back(new Hamming());
+ }else if (Estimators[i] == "structchi2") {
+ matrixCalculators.push_back(new StructChi2());
+ }else if (Estimators[i] == "gower") {
+ matrixCalculators.push_back(new Gower());
+ }else if (Estimators[i] == "memchi2") {
+ matrixCalculators.push_back(new MemChi2());
+ }else if (Estimators[i] == "memchord") {
+ matrixCalculators.push_back(new MemChord());
+ }else if (Estimators[i] == "memeuclidean") {
+ matrixCalculators.push_back(new MemEuclidean());
+ }else if (Estimators[i] == "mempearson") {
+ matrixCalculators.push_back(new MemPearson());
+ }
+ }
+ }
+
+ }
+ }
+
+ }
+ catch(exception& e) {
+ m->errorOut(e, "MatrixOutputCommand", "MatrixOutputCommand");
+ exit(1);
+ }
+}
+
+//**********************************************************************************************************************
+
+MatrixOutputCommand::~MatrixOutputCommand(){}
+
+//**********************************************************************************************************************
+
+int MatrixOutputCommand::execute(){
+ try {
+
+ if (abort == true) { if (calledHelp) { return 0; } return 2; }
+
+ //if the users entered no valid calculators don't execute command
+ if (matrixCalculators.size() == 0) { m->mothurOut("No valid calculators."); m->mothurOutEndLine(); return 0; }
+
+ input = new InputData(sharedfile, "sharedfile");
+ lookup = input->getSharedRAbundVectors();
+ string lastLabel = lookup[0]->getLabel();
+
+ //if the users enters label "0.06" and there is no "0.06" in their file use the next lowest label.
+ set<string> processedLabels;
+ set<string> userLabels = labels;
+
+ if (lookup.size() < 2) { m->mothurOut("You have not provided enough valid groups. I cannot run the command."); m->mothurOutEndLine(); delete input; for (int i = 0; i < lookup.size(); i++) { delete lookup[i]; } return 0;}
+
+ if (subsample) {
+ if (subsampleSize == -1) { //user has not set size, set size = smallest samples size
+ subsampleSize = lookup[0]->getNumSeqs();
+ for (int i = 1; i < lookup.size(); i++) {
+ int thisSize = lookup[i]->getNumSeqs();
+
+ if (thisSize < subsampleSize) { subsampleSize = thisSize; }
+ }
+ }else {
+ m->clearGroups();
+ Groups.clear();
+ vector<SharedRAbundVector*> temp;
+ for (int i = 0; i < lookup.size(); i++) {
+ if (lookup[i]->getNumSeqs() < subsampleSize) {
+ m->mothurOut(lookup[i]->getGroup() + " contains " + toString(lookup[i]->getNumSeqs()) + ". Eliminating."); m->mothurOutEndLine();
+ delete lookup[i];
+ }else {
+ Groups.push_back(lookup[i]->getGroup());
+ temp.push_back(lookup[i]);
+ }
+ }
+ lookup = temp;
+ m->setGroups(Groups);
+ }
+
+ if (lookup.size() < 2) { m->mothurOut("You have not provided enough valid groups. I cannot run the command."); m->mothurOutEndLine(); m->control_pressed = true; delete input; return 0; }
+ }
+
+ numGroups = lookup.size();
+ lines.resize(processors);
+ for (int i = 0; i < processors; i++) {
+ lines[i].start = int (sqrt(float(i)/float(processors)) * numGroups);
+ lines[i].end = int (sqrt(float(i+1)/float(processors)) * numGroups);
+ }
+
+ if (m->control_pressed) { delete input; for (int i = 0; i < lookup.size(); i++) { delete lookup[i]; } m->clearGroups(); return 0; }
+
+ //as long as you are not at the end of the file or done wih the lines you want
+ while((lookup[0] != NULL) && ((allLines == 1) || (userLabels.size() != 0))) {
+
+ if (m->control_pressed) { outputTypes.clear(); delete input; for (int i = 0; i < lookup.size(); i++) { delete lookup[i]; } for (int i = 0; i < outputNames.size(); i++) { m->mothurRemove(outputNames[i]); } m->clearGroups(); return 0; }
+
+ if(allLines == 1 || labels.count(lookup[0]->getLabel()) == 1){
+ m->mothurOut(lookup[0]->getLabel()); m->mothurOutEndLine();
+ process(lookup);
+
+ processedLabels.insert(lookup[0]->getLabel());
+ userLabels.erase(lookup[0]->getLabel());
+ }
+
+ if ((m->anyLabelsToProcess(lookup[0]->getLabel(), userLabels, "") == true) && (processedLabels.count(lastLabel) != 1)) {
+ string saveLabel = lookup[0]->getLabel();
+
+ for (int i = 0; i < lookup.size(); i++) { delete lookup[i]; }
+ lookup = input->getSharedRAbundVectors(lastLabel);
+
+ m->mothurOut(lookup[0]->getLabel()); m->mothurOutEndLine();
+ process(lookup);
+
+ processedLabels.insert(lookup[0]->getLabel());
+ userLabels.erase(lookup[0]->getLabel());
+
+ //restore real lastlabel to save below
+ lookup[0]->setLabel(saveLabel);
+ }
+
+ lastLabel = lookup[0]->getLabel();
+
+ //get next line to process
+ for (int i = 0; i < lookup.size(); i++) { delete lookup[i]; }
+ lookup = input->getSharedRAbundVectors();
+ }
+
+ if (m->control_pressed) { outputTypes.clear(); delete input; for (int i = 0; i < outputNames.size(); i++) { m->mothurRemove(outputNames[i]); } m->clearGroups(); return 0; }
+
+ //output error messages about any remaining user labels
+ set<string>::iterator it;
+ bool needToRun = false;
+ for (it = userLabels.begin(); it != userLabels.end(); it++) {
+ m->mothurOut("Your file does not include the label " + *it);
+ if (processedLabels.count(lastLabel) != 1) {
+ m->mothurOut(". I will use " + lastLabel + "."); m->mothurOutEndLine();
+ needToRun = true;
+ }else {
+ m->mothurOut(". Please refer to " + lastLabel + "."); m->mothurOutEndLine();
+ }
+ }
+
+ if (m->control_pressed) { outputTypes.clear(); delete input; for (int i = 0; i < outputNames.size(); i++) { m->mothurRemove(outputNames[i]); } m->clearGroups(); return 0; }
+
+ //run last label if you need to
+ if (needToRun == true) {
+ for (int i = 0; i < lookup.size(); i++) { if (lookup[i] != NULL) { delete lookup[i]; } }
+ lookup = input->getSharedRAbundVectors(lastLabel);
+
+ m->mothurOut(lookup[0]->getLabel()); m->mothurOutEndLine();
+ process(lookup);
+ for (int i = 0; i < lookup.size(); i++) { delete lookup[i]; }
+ }
+
+ if (m->control_pressed) { outputTypes.clear(); delete input; for (int i = 0; i < outputNames.size(); i++) { m->mothurRemove(outputNames[i]); } m->clearGroups(); return 0; }
+
+ //reset groups parameter
+ m->clearGroups();
+
+ //set phylip file as new current phylipfile
+ string current = "";
+ itTypes = outputTypes.find("phylip");
+ if (itTypes != outputTypes.end()) {
+ if ((itTypes->second).size() != 0) { current = (itTypes->second)[0]; m->setPhylipFile(current); }
+ }
+
+ m->mothurOutEndLine();
+ m->mothurOut("Output File Names: "); m->mothurOutEndLine();
+ for (int i = 0; i < outputNames.size(); i++) { m->mothurOut(outputNames[i]); m->mothurOutEndLine(); }
+ m->mothurOutEndLine();
+
+
+ return 0;
+ }
+ catch(exception& e) {
+ m->errorOut(e, "MatrixOutputCommand", "execute");
+ exit(1);
+ }
+}
+/***********************************************************/
+void MatrixOutputCommand::printSims(ostream& out, vector< vector<double> >& simMatrix) {
+ try {
+
+ out.setf(ios::fixed, ios::floatfield); out.setf(ios::showpoint);
+
+ //output num seqs
+ out << simMatrix.size() << endl;
+
+ if (output == "lt") {
+ for (int m = 0; m < simMatrix.size(); m++) {
+ out << lookup[m]->getGroup() << '\t';
+ for (int n = 0; n < m; n++) {
+ out << simMatrix[m][n] << '\t';
+ }
+ out << endl;
+ }
+ }else{
+ for (int m = 0; m < simMatrix.size(); m++) {
+ out << lookup[m]->getGroup() << '\t';
+ for (int n = 0; n < simMatrix[m].size(); n++) {
+ out << simMatrix[m][n] << '\t';
+ }
+ out << endl;
+ }
+ }
+ }
+ catch(exception& e) {
+ m->errorOut(e, "MatrixOutputCommand", "printSims");
+ exit(1);
+ }
+}
+/***********************************************************/
+int MatrixOutputCommand::process(vector<SharedRAbundVector*> thisLookup){
+ try {
+ vector< vector< vector<seqDist> > > calcDistsTotals; //each iter, one for each calc, then each groupCombos dists. this will be used to make .dist files
+ vector< vector<seqDist> > calcDists; calcDists.resize(matrixCalculators.size());
+
+ for (int thisIter = 0; thisIter < iters; thisIter++) {
+
+ vector<SharedRAbundVector*> thisItersLookup = thisLookup;
+
+ if (subsample) {
+ SubSample sample;
+ vector<string> tempLabels; //dont need since we arent printing the sampled sharedRabunds
+
+ //make copy of lookup so we don't get access violations
+ vector<SharedRAbundVector*> newLookup;
+ for (int k = 0; k < thisItersLookup.size(); k++) {
+ SharedRAbundVector* temp = new SharedRAbundVector();
+ temp->setLabel(thisItersLookup[k]->getLabel());
+ temp->setGroup(thisItersLookup[k]->getGroup());
+ newLookup.push_back(temp);
+ }
+
+ //for each bin
+ for (int k = 0; k < thisItersLookup[0]->getNumBins(); k++) {
+ if (m->control_pressed) { for (int j = 0; j < newLookup.size(); j++) { delete newLookup[j]; } return 0; }
+ for (int j = 0; j < thisItersLookup.size(); j++) { newLookup[j]->push_back(thisItersLookup[j]->getAbundance(k), thisItersLookup[j]->getGroup()); }
+ }
+
+ tempLabels = sample.getSample(newLookup, subsampleSize);
+ thisItersLookup = newLookup;
+ }
+
+ if(processors == 1){
+ driver(thisItersLookup, 0, numGroups, calcDists);
+ }else{
+ int process = 1;
+ vector<int> processIDS;
+
+ #if defined (__APPLE__) || (__MACH__) || (linux) || (__linux) || (__linux__) || (__unix__) || (__unix)
+ //loop through and create all the processes you want
+ while (process != processors) {
+ int pid = fork();
+
+ if (pid > 0) {
+ processIDS.push_back(pid);
+ process++;
+ }else if (pid == 0){
+
+ driver(thisItersLookup, lines[process].start, lines[process].end, calcDists);
+
+ string tempdistFileName = m->getRootName(m->getSimpleName(sharedfile)) + toString(getpid()) + ".dist";
+ ofstream outtemp;
+ m->openOutputFile(tempdistFileName, outtemp);
+
+ for (int i = 0; i < calcDists.size(); i++) {
+ outtemp << calcDists[i].size() << endl;
+
+ for (int j = 0; j < calcDists[i].size(); j++) {
+ outtemp << calcDists[i][j].seq1 << '\t' << calcDists[i][j].seq2 << '\t' << calcDists[i][j].dist << endl;
+ }
+ }
+ outtemp.close();
+
+ exit(0);
+ }else {
+ m->mothurOut("[ERROR]: unable to spawn the necessary processes."); m->mothurOutEndLine();
+ for (int i = 0; i < processIDS.size(); i++) { kill (processIDS[i], SIGINT); }
+ exit(0);
+ }
+ }
+
+ //parent do your part
+ driver(thisItersLookup, lines[0].start, lines[0].end, calcDists);
+
+ //force parent to wait until all the processes are done
+ for (int i = 0; i < processIDS.size(); i++) {
+ int temp = processIDS[i];
+ wait(&temp);
+ }
+
+ for (int i = 0; i < processIDS.size(); i++) {
+ string tempdistFileName = m->getRootName(m->getSimpleName(sharedfile)) + toString(processIDS[i]) + ".dist";
+ ifstream intemp;
+ m->openInputFile(tempdistFileName, intemp);
+
+ for (int k = 0; k < calcDists.size(); k++) {
+ int size = 0;
+ intemp >> size; m->gobble(intemp);
+
+ for (int j = 0; j < size; j++) {
+ int seq1 = 0;
+ int seq2 = 0;
+ float dist = 1.0;
+
+ intemp >> seq1 >> seq2 >> dist; m->gobble(intemp);
+
+ seqDist tempDist(seq1, seq2, dist);
+ calcDists[k].push_back(tempDist);
+ }
+ }
+ intemp.close();
+ m->mothurRemove(tempdistFileName);
+ }
+ #else
+ //////////////////////////////////////////////////////////////////////////////////////////////////////
+ //Windows version shared memory, so be careful when passing variables through the distSharedData struct.
+ //Above fork() will clone, so memory is separate, but that's not the case with windows,
+ //Taking advantage of shared memory to pass results vectors.
+ //////////////////////////////////////////////////////////////////////////////////////////////////////
+
+ vector<distSharedData*> pDataArray;
+ DWORD dwThreadIdArray[processors-1];
+ HANDLE hThreadArray[processors-1];
+
+ //Create processor worker threads.
+ for( int i=1; i<processors; i++ ){
+
+ //make copy of lookup so we don't get access violations
+ vector<SharedRAbundVector*> newLookup;
+ for (int k = 0; k < thisItersLookup.size(); k++) {
+ SharedRAbundVector* temp = new SharedRAbundVector();
+ temp->setLabel(thisItersLookup[k]->getLabel());
+ temp->setGroup(thisItersLookup[k]->getGroup());
+ newLookup.push_back(temp);
+ }
+
+ //for each bin
+ for (int k = 0; k < thisItersLookup[0]->getNumBins(); k++) {
+ if (m->control_pressed) { for (int j = 0; j < newLookup.size(); j++) { delete newLookup[j]; } return 0; }
+ for (int j = 0; j < thisItersLookup.size(); j++) { newLookup[j]->push_back(thisItersLookup[j]->getAbundance(k), thisItersLookup[j]->getGroup()); }
+ }
+
+ // Allocate memory for thread data.
+ distSharedData* tempSum = new distSharedData(m, lines[i].start, lines[i].end, Estimators, newLookup);
+ pDataArray.push_back(tempSum);
+ processIDS.push_back(i);
+
+ hThreadArray[i-1] = CreateThread(NULL, 0, MyDistSharedThreadFunction, pDataArray[i-1], 0, &dwThreadIdArray[i-1]);
+ }
+
+ //parent do your part
+ driver(thisItersLookup, lines[0].start, lines[0].end, calcDists);
+
+ //Wait until all threads have terminated.
+ WaitForMultipleObjects(processors-1, hThreadArray, TRUE, INFINITE);
+
+ //Close all thread handles and free memory allocations.
+ for(int i=0; i < pDataArray.size(); i++){
+ for (int j = 0; j < pDataArray[i]->thisLookup.size(); j++) { delete pDataArray[i]->thisLookup[j]; }
+
+ for (int k = 0; k < calcDists.size(); k++) {
+ int size = pDataArray[i]->calcDists[k].size();
+ for (int j = 0; j < size; j++) { calcDists[k].push_back(pDataArray[i]->calcDists[k][j]); }
+ }
+
+ CloseHandle(hThreadArray[i]);
+ delete pDataArray[i];
+ }
+
+ #endif
+ }
+
+ calcDistsTotals.push_back(calcDists);
+
+ if (subsample) {
+
+ //clean up memory
+ for (int i = 0; i < thisItersLookup.size(); i++) { delete thisItersLookup[i]; }
+ thisItersLookup.clear();
+ for (int i = 0; i < calcDists.size(); i++) { calcDists[i].clear(); }
+ }
+ }
+
+ if (iters != 1) {
+ //we need to find the average distance and standard deviation for each groups distance
+
+ vector< vector<seqDist> > calcAverages; calcAverages.resize(matrixCalculators.size());
+ for (int i = 0; i < calcAverages.size(); i++) { //initialize sums to zero.
+ calcAverages[i].resize(calcDistsTotals[0][i].size());
+
+ for (int j = 0; j < calcAverages[i].size(); j++) {
+ calcAverages[i][j].seq1 = calcDists[i][j].seq1;
+ calcAverages[i][j].seq2 = calcDists[i][j].seq2;
+ calcAverages[i][j].dist = 0.0;
+ }
+ }
+
+ for (int thisIter = 0; thisIter < iters; thisIter++) { //sum all groups dists for each calculator
+ for (int i = 0; i < calcAverages.size(); i++) { //initialize sums to zero.
+ for (int j = 0; j < calcAverages[i].size(); j++) {
+ calcAverages[i][j].dist += calcDistsTotals[thisIter][i][j].dist;
+ }
+ }
+ }
+
+ for (int i = 0; i < calcAverages.size(); i++) { //finds average.
+ for (int j = 0; j < calcAverages[i].size(); j++) {
+ calcAverages[i][j].dist /= (float) iters;
+ }
+ }
+
+ //find standard deviation
+ vector< vector<seqDist> > stdDev; stdDev.resize(matrixCalculators.size());
+ for (int i = 0; i < stdDev.size(); i++) { //initialize sums to zero.
+ stdDev[i].resize(calcDistsTotals[0][i].size());
+
+ for (int j = 0; j < stdDev[i].size(); j++) {
+ stdDev[i][j].seq1 = calcDists[i][j].seq1;
+ stdDev[i][j].seq2 = calcDists[i][j].seq2;
+ stdDev[i][j].dist = 0.0;
+ }
+ }
+
+ for (int thisIter = 0; thisIter < iters; thisIter++) { //compute the difference of each dist from the mean, and square the result of each
+ for (int i = 0; i < stdDev.size(); i++) {
+ for (int j = 0; j < stdDev[i].size(); j++) {
+ stdDev[i][j].dist += ((calcDistsTotals[thisIter][i][j].dist - calcAverages[i][j].dist) * (calcDistsTotals[thisIter][i][j].dist - calcAverages[i][j].dist));
+ }
+ }
+ }
+
+ for (int i = 0; i < stdDev.size(); i++) { //finds average.
+ for (int j = 0; j < stdDev[i].size(); j++) {
+ stdDev[i][j].dist /= (float) iters;
+ stdDev[i][j].dist = sqrt(stdDev[i][j].dist);
+ }
+ }
+
+ //print results
+ for (int i = 0; i < calcDists.size(); i++) {
+ vector< vector<double> > matrix; //square matrix to represent the distance
+ matrix.resize(thisLookup.size());
+ for (int k = 0; k < thisLookup.size(); k++) { matrix[k].resize(thisLookup.size(), 0.0); }
+
+ vector< vector<double> > stdmatrix; //square matrix to represent the stdDev
+ stdmatrix.resize(thisLookup.size());
+ for (int k = 0; k < thisLookup.size(); k++) { stdmatrix[k].resize(thisLookup.size(), 0.0); }
+
+
+ for (int j = 0; j < calcAverages[i].size(); j++) {
+ int row = calcAverages[i][j].seq1;
+ int column = calcAverages[i][j].seq2;
+ float dist = calcAverages[i][j].dist;
+ float stdDist = stdDev[i][j].dist;
+
+ matrix[row][column] = dist;
+ matrix[column][row] = dist;
+ stdmatrix[row][column] = stdDist;
+ stdmatrix[column][row] = stdDist;
+ }
+
+ string distFileName = outputDir + m->getRootName(m->getSimpleName(sharedfile)) + matrixCalculators[i]->getName() + "." + thisLookup[0]->getLabel() + "." + output + ".ave.dist";
+ outputNames.push_back(distFileName); outputTypes["phylip"].push_back(distFileName);
+ ofstream outAve;
+ m->openOutputFile(distFileName, outAve);
+ outAve.setf(ios::fixed, ios::floatfield); outAve.setf(ios::showpoint);
+
+ printSims(outAve, matrix);
+
+ outAve.close();
+
+ distFileName = outputDir + m->getRootName(m->getSimpleName(sharedfile)) + matrixCalculators[i]->getName() + "." + thisLookup[0]->getLabel() + "." + output + ".std.dist";
+ outputNames.push_back(distFileName); outputTypes["phylip"].push_back(distFileName);
+ ofstream outSTD;
+ m->openOutputFile(distFileName, outSTD);
+ outSTD.setf(ios::fixed, ios::floatfield); outSTD.setf(ios::showpoint);
+
+ printSims(outSTD, stdmatrix);
+
+ outSTD.close();
+
+ }
+ }else {
+
+ for (int i = 0; i < calcDists.size(); i++) {
+ if (m->control_pressed) { break; }
+
+ //initialize matrix
+ vector< vector<double> > matrix; //square matrix to represent the distance
+ matrix.resize(thisLookup.size());
+ for (int k = 0; k < thisLookup.size(); k++) { matrix[k].resize(thisLookup.size(), 0.0); }
+
+ for (int j = 0; j < calcDists[i].size(); j++) {
+ int row = calcDists[i][j].seq1;
+ int column = calcDists[i][j].seq2;
+ double dist = calcDists[i][j].dist;
+
+ matrix[row][column] = dist;
+ matrix[column][row] = dist;
+ }
+
+ string distFileName = outputDir + m->getRootName(m->getSimpleName(sharedfile)) + matrixCalculators[i]->getName() + "." + thisLookup[0]->getLabel() + "." + output + ".dist";
+ outputNames.push_back(distFileName); outputTypes["phylip"].push_back(distFileName);
+ ofstream outDist;
+ m->openOutputFile(distFileName, outDist);
+ outDist.setf(ios::fixed, ios::floatfield); outDist.setf(ios::showpoint);
+
+ printSims(outDist, matrix);
+
+ outDist.close();
+ }
+ }
+
+ return 0;
+ }
+ catch(exception& e) {
+ m->errorOut(e, "MatrixOutputCommand", "process");
+ exit(1);
+ }
+}
+/**************************************************************************************************/
+int MatrixOutputCommand::driver(vector<SharedRAbundVector*> thisLookup, int start, int end, vector< vector<seqDist> >& calcDists) {
+ try {
+ vector<SharedRAbundVector*> subset;
+ for (int k = start; k < end; k++) { // pass cdd each set of groups to compare
+
+ for (int l = 0; l < k; l++) {
+
+ if (k != l) { //we dont need to similiarity of a groups to itself
+ subset.clear(); //clear out old pair of sharedrabunds
+ //add new pair of sharedrabunds
+ subset.push_back(thisLookup[k]); subset.push_back(thisLookup[l]);
+
+ for(int i=0;i<matrixCalculators.size();i++) {
+
+ //if this calc needs all groups to calculate the pair load all groups
+ if (matrixCalculators[i]->getNeedsAll()) {
+ //load subset with rest of lookup for those calcs that need everyone to calc for a pair
+ for (int w = 0; w < thisLookup.size(); w++) {
+ if ((w != k) && (w != l)) { subset.push_back(thisLookup[w]); }
+ }
+ }
+
+ vector<double> tempdata = matrixCalculators[i]->getValues(subset); //saves the calculator outputs
+
+ if (m->control_pressed) { return 1; }
+
+ seqDist temp(l, k, tempdata[0]);
+ calcDists[i].push_back(temp);
+ }
+ }
+ }
+ }
+
+ return 0;
+ }
+ catch(exception& e) {
+ m->errorOut(e, "MatrixOutputCommand", "driver");
+ exit(1);
+ }
+}
+/***********************************************************/
+
+
+
projects / mothur.git / blobdiff