// This file is a part of Framsticks SDK. http://www.framsticks.com/ // Copyright (C) 1999-2016 Maciej Komosinski and Szymon Ulatowski. // See LICENSE.txt for details. #include #include "common/loggers/loggertostdout.h" #include "frams/_demos/genotypeloader.h" #include "frams/genetics/preconfigured.h" #include "common/virtfile/stdiofile.h" #include "frams/model/similarity/simil_model.h" using namespace std; /** Computes a matrix of distances between all genotypes in the specified .gen file, using the matching and measure weights as specified in the command line. */ int main(int argc, char *argv[]) { LoggerToStdout messages_to_stdout(LoggerBase::Enable); typedef double *pDouble; int iCurrParam = 0; // index of the currently processed parameter char *szCurrParam = NULL; ModelSimil M; // similarity computing object bool bPrintNames = false; // specifies if names of genotypes are to be printed int nResult = 0; // a temporary result if (argc < 7) { printf("Too few parameters!\n"); printf("Command line: [-names] \n\n"); printf("Parameters:\n"); printf(" name of a file with genotypes\n"); printf(" weight of the difference in the number of parts\n"); printf(" weight of the difference in degrees of matched parts\n"); printf(" weight of the difference in neurons of matched parts\n"); printf(" weight of the distance of matched parts\n"); printf(" should the 'z' (vertical) coordinate be fixed during the alignment? (0 or 1)\n\n"); printf("Switches:\n"); printf(" -names specifies that the number and names of genotypes are to be printed to output\n"); printf(" before the distance matrix; by default the number and names are not printed\n\n"); printf("Outputs a symmetric distance matrix in the format:\n"); printf(" (columns in a row are separated by TABs)\n"); printf(" ...\n"); printf(" \n"); return -1; } // prepare output parameters from .gen file vector pvGenos; vector pvNames; // check if there is a switch iCurrParam = 1; szCurrParam = argv[iCurrParam]; if (strcmp(szCurrParam, "-names") == 0) { // switch "-names" was given; print names also bPrintNames = true; // pass to the next parameter iCurrParam++; } // check the parameters // get name from command line char *szFileName = argv[iCurrParam]; // initially set measure components' weights to invalid values (negative) for (int i = 0; i < M.GetNOFactors(); i++) { M.m_adFactors[i] = -1.0; } const char *params[] = { "", "", "", "" }; for (int i = 0; i < M.GetNOFactors(); i++) { iCurrParam++; szCurrParam = argv[iCurrParam]; nResult = sscanf(szCurrParam, " %lf ", &M.m_adFactors[i]); if (nResult != 1) { // is not a number -- error printf("%s", params[i]); printf(" should be a number\n"); return -1; } else { // is a number; check if nonnegative if (M.m_adFactors[i] < 0.0) { printf("%s", params[i]); printf(" should be a nonnegative number\n"); return -1; } } } iCurrParam++; szCurrParam = argv[iCurrParam]; nResult = sscanf(szCurrParam, " %d", &M.fixedZaxis); if (nResult != 1) { // is not a number -- error printf(" should be a number\n"); return -1; } else if (M.fixedZaxis != 0 && M.fixedZaxis != 1) { printf("=%d. should be equal to 0 or 1\n", M.fixedZaxis); return -1; } // read the input file // prepare loading of genotypes from a .gen file // create some basic genotype converters PreconfiguredGenetics genetics; StdioFileSystem_autoselect stdiofilesys; long count = 0, totalsize = 0; GenotypeMiniLoader loader(szFileName); GenotypeMini *loaded; while (loaded = loader.loadNextGenotype()) { // while a valid genotype was loaded count++; totalsize += loaded->genotype.len(); // create a Geno object based on the MiniGenotype Geno *pNextGenotype = new Geno(loaded->genotype); if ((pNextGenotype != NULL) && (pNextGenotype->isValid())) { pvGenos.push_back(pNextGenotype); char *szNewName = new char[loaded->name.len() + 1]; strcpy(szNewName, loaded->name.c_str()); pvNames.push_back(szNewName); } else { printf("Genotype %2li is not valid\n", count); if (pNextGenotype != NULL) delete pNextGenotype; } } if (loader.getStatus() == GenotypeMiniLoader::OnError) { printf("Error: %s", loader.getError().c_str()); } double dSimilarity = 0.0; double **aaSimil = NULL; // array of similarities // create the empty array of similarities aaSimil = new pDouble[pvGenos.size()]; for (unsigned int k = 0; k < pvGenos.size(); k++) { aaSimil[k] = new double[pvGenos.size()]; for (unsigned int l = 0; l < pvGenos.size(); l++) aaSimil[k][l] = 0.0; } // compute and remember similarities for (unsigned int i = 0; i < pvGenos.size(); i++) { for (unsigned int j = 0; j < pvGenos.size(); j++) { dSimilarity = M.EvaluateDistance(pvGenos.operator[](i), pvGenos.operator[](j)); aaSimil[i][j] = dSimilarity; } } if (bPrintNames) { // if "-names" switch was given, print the number of genotypes and their names printf("%li\n", pvGenos.size()); for (unsigned int iGen = 0; iGen < pvNames.size(); iGen++) { printf("%s\n", pvNames.at(iGen)); } } // print out the matrix of similarities for (unsigned int i = 0; i < pvGenos.size(); i++) { for (unsigned int j = 0; j < pvGenos.size(); j++) { printf("%.2lf\t", aaSimil[i][j]); } printf("\n"); } // delete vectors and arrays for (unsigned int i = 0; i < pvGenos.size(); i++) { delete pvGenos.operator[](i); delete[] pvNames.operator[](i); delete[] aaSimil[i]; } delete[] aaSimil; return 0; }