X-Git-Url: https://git.donarmstrong.com/?a=blobdiff_plain;f=unifracweightedcommand.cpp;h=4c387da9332c6ca280a9359105cf8dfa837cd0a9;hb=0486bc2eed084ac387d2f59b6d23d13b2382daf7;hp=5a2a5ec5c504796869b7f0392e6709e66eb62e9f;hpb=dd173a49e37f6bae73a63c32dd7c98d317bb4a79;p=mothur.git diff --git a/unifracweightedcommand.cpp b/unifracweightedcommand.cpp index 5a2a5ec..4c387da 100644 --- a/unifracweightedcommand.cpp +++ b/unifracweightedcommand.cpp @@ -9,15 +9,66 @@ #include "unifracweightedcommand.h" +//********************************************************************************************************************** +vector UnifracWeightedCommand::getValidParameters(){ + try { + string Array[] = {"groups","iters","distance","random","processors","outputdir","inputdir"}; + vector myArray (Array, Array+(sizeof(Array)/sizeof(string))); + return myArray; + } + catch(exception& e) { + m->errorOut(e, "UnifracWeightedCommand", "getValidParameters"); + exit(1); + } +} +//********************************************************************************************************************** +UnifracWeightedCommand::UnifracWeightedCommand(){ + try { + abort = true; calledHelp = true; + vector tempOutNames; + outputTypes["weighted"] = tempOutNames; + outputTypes["wsummary"] = tempOutNames; + outputTypes["phylip"] = tempOutNames; + outputTypes["column"] = tempOutNames; + } + catch(exception& e) { + m->errorOut(e, "UnifracWeightedCommand", "UnifracWeightedCommand"); + exit(1); + } +} +//********************************************************************************************************************** +vector UnifracWeightedCommand::getRequiredParameters(){ + try { + vector myArray; + return myArray; + } + catch(exception& e) { + m->errorOut(e, "UnifracWeightedCommand", "getRequiredParameters"); + exit(1); + } +} +//********************************************************************************************************************** +vector UnifracWeightedCommand::getRequiredFiles(){ + try { + string Array[] = {"tree","group"}; + vector myArray (Array, Array+(sizeof(Array)/sizeof(string))); + + return myArray; + } + catch(exception& e) { + m->errorOut(e, "UnifracWeightedCommand", "getRequiredFiles"); + exit(1); + } +} /***********************************************************/ UnifracWeightedCommand::UnifracWeightedCommand(string option) { try { globaldata = GlobalData::getInstance(); - abort = false; + abort = false; calledHelp = false; Groups.clear(); //allow user to run help - if(option == "help") { help(); abort = true; } + if(option == "help") { help(); abort = true; calledHelp = true; } else { //valid paramters for this command @@ -34,6 +85,13 @@ UnifracWeightedCommand::UnifracWeightedCommand(string option) { if (validParameter.isValidParameter(it->first, myArray, it->second) != true) { abort = true; } } + //initialize outputTypes + vector tempOutNames; + outputTypes["weighted"] = tempOutNames; + outputTypes["wsummary"] = tempOutNames; + outputTypes["phylip"] = tempOutNames; + outputTypes["column"] = tempOutNames; + if (globaldata->gTree.size() == 0) {//no trees were read m->mothurOut("You must execute the read.tree command, before you may execute the unifrac.weighted command."); m->mothurOutEndLine(); abort = true; } @@ -55,9 +113,13 @@ UnifracWeightedCommand::UnifracWeightedCommand(string option) { itersString = validParameter.validFile(parameters, "iters", false); if (itersString == "not found") { itersString = "1000"; } convert(itersString, iters); - string temp = validParameter.validFile(parameters, "distance", false); if (temp == "not found") { temp = "false"; } - phylip = m->isTrue(temp); - + string temp = validParameter.validFile(parameters, "distance", false); + if (temp == "not found") { phylip = false; outputForm = ""; } + else{ + if ((temp == "lt") || (temp == "column") || (temp == "square")) { phylip = true; outputForm = temp; } + else { m->mothurOut("Options for distance are: lt, square, or column. Using lt."); m->mothurOutEndLine(); phylip = true; outputForm = "lt"; } + } + temp = validParameter.validFile(parameters, "random", false); if (temp == "not found") { temp = "F"; } random = m->isTrue(temp); @@ -72,7 +134,7 @@ UnifracWeightedCommand::UnifracWeightedCommand(string option) { tmap = globaldata->gTreemap; sumFile = outputDir + m->getSimpleName(globaldata->getTreeFile()) + ".wsummary"; m->openOutputFile(sumFile, outSum); - outputNames.push_back(sumFile); + outputNames.push_back(sumFile); outputTypes["wsummary"].push_back(sumFile); util = new SharedUtil(); string s; //to make work with setgroups @@ -96,11 +158,12 @@ UnifracWeightedCommand::UnifracWeightedCommand(string option) { void UnifracWeightedCommand::help(){ try { m->mothurOut("The unifrac.weighted command can only be executed after a successful read.tree command.\n"); - m->mothurOut("The unifrac.weighted command parameters are groups, iters, distance and random. No parameters are required.\n"); + m->mothurOut("The unifrac.weighted command parameters are groups, iters, distance, processors and random. No parameters are required.\n"); m->mothurOut("The groups parameter allows you to specify which of the groups in your groupfile you would like analyzed. You must enter at least 2 valid groups.\n"); m->mothurOut("The group names are separated by dashes. The iters parameter allows you to specify how many random trees you would like compared to your tree.\n"); m->mothurOut("The distance parameter allows you to create a distance file from the results. The default is false.\n"); m->mothurOut("The random parameter allows you to shut off the comparison to random trees. The default is false, meaning don't compare your trees with randomly generated trees.\n"); + m->mothurOut("The processors parameter allows you to specify the number of processors to use. The default is 1.\n"); m->mothurOut("The unifrac.weighted command should be in the following format: unifrac.weighted(groups=yourGroups, iters=yourIters).\n"); m->mothurOut("Example unifrac.weighted(groups=A-B-C, iters=500).\n"); m->mothurOut("The default value for groups is all the groups in your groupfile, and iters is 1000.\n"); @@ -117,7 +180,7 @@ void UnifracWeightedCommand::help(){ int UnifracWeightedCommand::execute() { try { - if (abort == true) { return 0; } + if (abort == true) { if (calledHelp) { return 0; } return 2; } int start = time(NULL); @@ -125,13 +188,10 @@ int UnifracWeightedCommand::execute() { userData.resize(numComp,0); //data[0] = weightedscore AB, data[1] = weightedscore AC... randomData.resize(numComp,0); //data[0] = weightedscore AB, data[1] = weightedscore AC... - //create new tree with same num nodes and leaves as users - randT = new Tree(); - //get weighted scores for users trees for (int i = 0; i < T.size(); i++) { - if (m->control_pressed) { delete randT; outSum.close(); for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } return 0; } + if (m->control_pressed) { outSum.close(); for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } return 0; } counter = 0; rScores.resize(numComp); //data[0] = weightedscore AB, data[1] = weightedscore AC... @@ -140,18 +200,12 @@ int UnifracWeightedCommand::execute() { if (random) { output = new ColumnFile(outputDir + m->getSimpleName(globaldata->getTreeFile()) + toString(i+1) + ".weighted", itersString); outputNames.push_back(outputDir + m->getSimpleName(globaldata->getTreeFile()) + toString(i+1) + ".weighted"); + outputTypes["weighted"].push_back(outputDir + m->getSimpleName(globaldata->getTreeFile()) + toString(i+1) + ".weighted"); } userData = weighted->getValues(T[i], processors, outputDir); //userData[0] = weightedscore - if (m->control_pressed) { - delete randT; - if (random) { delete output; } - outSum.close(); - for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } - return 0; - } - + if (m->control_pressed) { if (random) { delete output; } outSum.close(); for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } return 0; } //save users score for (int s=0; s sums = weighted->getBranchLengthSums(T[i]); //calculate number of comparisons i.e. with groups A,B,C = AB, AC, BC = 3; vector< vector > namesOfGroupCombos; for (int a=0; a groups; groups.push_back(globaldata->Groups[a]); groups.push_back(globaldata->Groups[l]); namesOfGroupCombos.push_back(groups); } } - + + lines.clear(); + #if defined (__APPLE__) || (__MACH__) || (linux) || (__linux) if(processors != 1){ int numPairs = namesOfGroupCombos.size(); @@ -184,7 +239,7 @@ int UnifracWeightedCommand::execute() { if(i == processors - 1){ numPairsPerProcessor = numPairs - i * numPairsPerProcessor; } - lines.push_back(new linePair(startPos, numPairsPerProcessor)); + lines.push_back(linePair(startPos, numPairsPerProcessor)); } } #endif @@ -192,25 +247,24 @@ int UnifracWeightedCommand::execute() { //get scores for random trees for (int j = 0; j < iters; j++) { - + #if defined (__APPLE__) || (__MACH__) || (linux) || (__linux) if(processors == 1){ - driver(T[i], randT, namesOfGroupCombos, 0, namesOfGroupCombos.size(), sums, rScores); + driver(T[i], namesOfGroupCombos, 0, namesOfGroupCombos.size(), rScores); }else{ - createProcesses(T[i], randT, namesOfGroupCombos, sums, rScores); + createProcesses(T[i], namesOfGroupCombos, rScores); } #else - driver(T[i], randT, namesOfGroupCombos, 0, namesOfGroupCombos.size(), sums, rScores); + driver(T[i], namesOfGroupCombos, 0, namesOfGroupCombos.size(), rScores); #endif if (m->control_pressed) { delete output; outSum.close(); for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } return 0; } //report progress - m->mothurOut("Iter: " + toString(j+1)); m->mothurOutEndLine(); +// m->mothurOut("Iter: " + toString(j+1)); m->mothurOutEndLine(); } - - for (int i = 0; i < lines.size(); i++) { delete lines[i]; } lines.clear(); - + lines.clear(); + //find the signifigance of the score for summary file for (int f = 0; f < numComp; f++) { //sort random scores @@ -241,7 +295,7 @@ int UnifracWeightedCommand::execute() { } - if (m->control_pressed) { delete randT; outSum.close(); for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } return 0; } + if (m->control_pressed) { outSum.close(); for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } return 0; } printWSummaryFile(); @@ -250,7 +304,6 @@ int UnifracWeightedCommand::execute() { //clear out users groups globaldata->Groups.clear(); - delete randT; if (m->control_pressed) { for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } @@ -274,11 +327,10 @@ int UnifracWeightedCommand::execute() { } /**************************************************************************************************/ -int UnifracWeightedCommand::createProcesses(Tree* t, Tree* randT, vector< vector > namesOfGroupCombos, vector& sums, vector< vector >& scores) { +int UnifracWeightedCommand::createProcesses(Tree* t, vector< vector > namesOfGroupCombos, vector< vector >& scores) { try { #if defined (__APPLE__) || (__MACH__) || (linux) || (__linux) int process = 1; - int num = 0; vector processIDS; EstOutput results; @@ -291,35 +343,40 @@ int UnifracWeightedCommand::createProcesses(Tree* t, Tree* randT, vector< vector processIDS.push_back(pid); //create map from line number to pid so you can append files in correct order later process++; }else if (pid == 0){ - driver(t, randT, namesOfGroupCombos, lines[process]->start, lines[process]->num, sums, scores); + driver(t, namesOfGroupCombos, lines[process].start, lines[process].num, scores); //pass numSeqs to parent ofstream out; string tempFile = outputDir + toString(getpid()) + ".weightedcommand.results.temp"; m->openOutputFile(tempFile, out); - for (int i = lines[process]->start; i < (lines[process]->start + lines[process]->num); i++) { out << scores[i][(scores[i].size()-1)] << '\t'; } out << endl; + for (int i = lines[process].start; i < (lines[process].start + lines[process].num); i++) { out << scores[i][(scores[i].size()-1)] << '\t'; } out << endl; out.close(); exit(0); - }else { m->mothurOut("unable to spawn the necessary processes."); m->mothurOutEndLine(); 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); + } } - driver(t, randT, namesOfGroupCombos, lines[0]->start, lines[0]->num, sums, scores); + driver(t, namesOfGroupCombos, lines[0].start, lines[0].num, scores); //force parent to wait until all the processes are done for (int i=0;i<(processors-1);i++) { int temp = processIDS[i]; wait(&temp); } - + //get data created by processes for (int i=0;i<(processors-1);i++) { + ifstream in; string s = outputDir + toString(processIDS[i]) + ".weightedcommand.results.temp"; m->openInputFile(s, in); double tempScore; - for (int i = lines[process]->start; i < (lines[process]->start + lines[process]->num); i++) { in >> tempScore; scores[i].push_back(tempScore); } + for (int j = lines[(i+1)].start; j < (lines[(i+1)].start + lines[(i+1)].num); j++) { in >> tempScore; scores[j].push_back(tempScore); } in.close(); remove(s.c_str()); } @@ -334,11 +391,12 @@ int UnifracWeightedCommand::createProcesses(Tree* t, Tree* randT, vector< vector } /**************************************************************************************************/ -int UnifracWeightedCommand::driver(Tree* t, Tree* randT, vector< vector > namesOfGroupCombos, int start, int num, vector& sums, vector< vector >& scores) { +int UnifracWeightedCommand::driver(Tree* t, vector< vector > namesOfGroupCombos, int start, int num, vector< vector >& scores) { try { - + Tree* randT = new Tree(); + for (int h = start; h < (start+num); h++) { - cout << "doing " << h << endl; + if (m->control_pressed) { return 0; } //initialize weighted score @@ -353,16 +411,17 @@ int UnifracWeightedCommand::driver(Tree* t, Tree* randT, vector< vector if (m->control_pressed) { delete randT; return 0; } - //get wscore of random tree - EstOutput randomData = weighted->getValues(randT, groupA, groupB, sums); - + EstOutput randomData = weighted->getValues(randT, groupA, groupB); + if (m->control_pressed) { delete randT; return 0; } //save scores scores[h].push_back(randomData[0]); } - + + delete randT; + return 0; } @@ -414,16 +473,16 @@ void UnifracWeightedCommand::printWSummaryFile() { if (WScoreSig[count] > (1/(float)iters)) { outSum << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(itersString.length()) << WScoreSig[count] << endl; cout << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(itersString.length()) << WScoreSig[count] << endl; - m->mothurOutJustToLog(toString(i+1) +"\t" + groupComb[j] +"\t" + toString(utreeScores[count]) +"\t" + toString(WScoreSig[count])); m->mothurOutEndLine(); + m->mothurOutJustToLog(toString(i+1) +"\t" + groupComb[j] +"\t" + toString(utreeScores[count]) +"\t" + toString(WScoreSig[count]) + "\n"); }else{ outSum << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(itersString.length()) << "<" << (1/float(iters)) << endl; cout << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << setprecision(itersString.length()) << "<" << (1/float(iters)) << endl; - m->mothurOutJustToLog(toString(i+1) +"\t" + groupComb[j] +"\t" + toString(utreeScores[count]) +"\t<" + toString((1/float(iters)))); m->mothurOutEndLine(); + m->mothurOutJustToLog(toString(i+1) +"\t" + groupComb[j] +"\t" + toString(utreeScores[count]) +"\t<" + toString((1/float(iters))) + "\n"); } }else{ outSum << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << "0.00" << endl; cout << setprecision(6) << i+1 << '\t' << groupComb[j] << '\t' << utreeScores[count] << '\t' << "0.00" << endl; - m->mothurOutJustToLog(toString(i+1) +"\t" + groupComb[j] +"\t" + toString(utreeScores[count]) +"\t0.00"); m->mothurOutEndLine(); + m->mothurOutJustToLog(toString(i+1) +"\t" + groupComb[j] +"\t" + toString(utreeScores[count]) +"\t0.00\n"); } count++; } @@ -442,14 +501,23 @@ void UnifracWeightedCommand::createPhylipFile() { //for each tree for (int i = 0; i < T.size(); i++) { - string phylipFileName = outputDir + m->getSimpleName(globaldata->getTreeFile()) + toString(i+1) + ".weighted.dist"; - outputNames.push_back(phylipFileName); + string phylipFileName; + if ((outputForm == "lt") || (outputForm == "square")) { + phylipFileName = outputDir + m->getSimpleName(globaldata->getTreeFile()) + toString(i+1) + ".weighted.phylip.dist"; + outputNames.push_back(phylipFileName); outputTypes["phylip"].push_back(phylipFileName); + }else { //column + phylipFileName = outputDir + m->getSimpleName(globaldata->getTreeFile()) + toString(i+1) + ".weighted.column.dist"; + outputNames.push_back(phylipFileName); outputTypes["column"].push_back(phylipFileName); + } + ofstream out; m->openOutputFile(phylipFileName, out); - //output numSeqs - out << globaldata->Groups.size() << endl; - + if ((outputForm == "lt") || (outputForm == "square")) { + //output numSeqs + out << globaldata->Groups.size() << endl; + } + //make matrix with scores in it vector< vector > dists; dists.resize(globaldata->Groups.size()); for (int i = 0; i < globaldata->Groups.size(); i++) { @@ -458,7 +526,7 @@ void UnifracWeightedCommand::createPhylipFile() { //flip it so you can print it for (int r=0; rGroups.size(); r++) { - for (int l = r+1; l < globaldata->Groups.size(); l++) { + for (int l = 0; l < r; l++) { dists[r][l] = utreeScores[count]; dists[l][r] = utreeScores[count]; count++; @@ -472,11 +540,30 @@ void UnifracWeightedCommand::createPhylipFile() { if (name.length() < 10) { //pad with spaces to make compatible while (name.length() < 10) { name += " "; } } - out << name << '\t'; - //output distances - for (int l = 0; l < r; l++) { out << dists[r][l] << '\t'; } - out << endl; + if (outputForm == "lt") { + out << name << '\t'; + + //output distances + for (int l = 0; l < r; l++) { out << dists[r][l] << '\t'; } + out << endl; + }else if (outputForm == "square") { + out << name << '\t'; + + //output distances + for (int l = 0; l < globaldata->Groups.size(); l++) { out << dists[r][l] << '\t'; } + out << endl; + }else{ + //output distances + for (int l = 0; l < r; l++) { + string otherName = globaldata->Groups[l]; + if (otherName.length() < 10) { //pad with spaces to make compatible + while (otherName.length() < 10) { otherName += " "; } + } + + out << name << '\t' << otherName << dists[r][l] << endl; + } + } } out.close(); }