LCOV - code coverage report
Current view: top level - analysis - ReadDissimilarityMatrix.cpp (source / functions) Hit Total Coverage
Test: plumed test coverage Lines: 51 62 82.3 %
Date: 2024-10-11 08:09:47 Functions: 12 16 75.0 %

          Line data    Source code
       1             : /* +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
       2             :    Copyright (c) 2015-2023 The plumed team
       3             :    (see the PEOPLE file at the root of the distribution for a list of names)
       4             : 
       5             :    See http://www.plumed.org for more information.
       6             : 
       7             :    This file is part of plumed, version 2.
       8             : 
       9             :    plumed is free software: you can redistribute it and/or modify
      10             :    it under the terms of the GNU Lesser General Public License as published by
      11             :    the Free Software Foundation, either version 3 of the License, or
      12             :    (at your option) any later version.
      13             : 
      14             :    plumed is distributed in the hope that it will be useful,
      15             :    but WITHOUT ANY WARRANTY; without even the implied warranty of
      16             :    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
      17             :    GNU Lesser General Public License for more details.
      18             : 
      19             :    You should have received a copy of the GNU Lesser General Public License
      20             :    along with plumed.  If not, see <http://www.gnu.org/licenses/>.
      21             : +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ */
      22             : #include "AnalysisBase.h"
      23             : #include "ReadAnalysisFrames.h"
      24             : #include "reference/ReferenceConfiguration.h"
      25             : #include "reference/MetricRegister.h"
      26             : #include "core/PlumedMain.h"
      27             : #include "core/ActionSet.h"
      28             : #include "core/ActionRegister.h"
      29             : #include "core/ActionSetup.h"
      30             : #include "tools/IFile.h"
      31             : 
      32             : //+PLUMEDOC ANALYSIS READ_DISSIMILARITY_MATRIX
      33             : /*
      34             : Read a matrix of dissimilarities between a trajectory of atomic configurations from a file.
      35             : 
      36             : \par Examples
      37             : 
      38             : */
      39             : //+ENDPLUMEDOC
      40             : 
      41             : namespace PLMD {
      42             : namespace analysis {
      43             : 
      44             : class ReadDissimilarityMatrix : public AnalysisBase {
      45             : private:
      46             :   unsigned nnodes;
      47             :   std::vector<DataCollectionObject> fake_data;
      48             :   std::string fname, wfile;
      49             : //  Matrix<double> dissimilarities;
      50             :   std::vector<std::vector<double> > dissimilarities;
      51             :   std::vector<double> weights;
      52             : public:
      53             :   static void registerKeywords( Keywords& keys );
      54             :   explicit ReadDissimilarityMatrix( const ActionOptions& ao );
      55             :   unsigned getNumberOfDataPoints() const override;
      56             : // Return the index of the data point in the base class
      57             :   unsigned getDataPointIndexInBase( const unsigned& idata ) const override;
      58             : /// This gives an error as if we read in the matrix we dont have the coordinates
      59             :   DataCollectionObject& getStoredData( const unsigned& idata, const bool& calcdist ) override;
      60             : /// Tell everyone we have dissimilarities
      61          11 :   bool dissimilaritiesWereSet() const override { return true; }
      62             : /// Get the dissimilarity between two data points
      63             :   double getDissimilarity( const unsigned&, const unsigned& ) override;
      64             : /// Get the weight from the input file
      65             :   double getWeight( const unsigned& idata ) override;
      66             : /// Just tell plumed to stop
      67             :   void update() override;
      68             : /// Read in the dissimilarity matrix
      69             :   void runFinalJobs() override;
      70             : /// This does nothing
      71           0 :   void performAnalysis() override {};
      72             : /// Overwrite virtual function in base class
      73           0 :   void performTask( const unsigned&, const unsigned&, MultiValue& ) const override { plumed_error(); }
      74             : };
      75             : 
      76       10423 : PLUMED_REGISTER_ACTION(ReadDissimilarityMatrix,"READ_DISSIMILARITY_MATRIX")
      77             : 
      78           3 : void ReadDissimilarityMatrix::registerKeywords( Keywords& keys ) {
      79           3 :   AnalysisBase::registerKeywords( keys );
      80           6 :   keys.add("compulsory","FILE","an input file containing the matrix of dissimilarities");
      81           6 :   keys.add("optional","WFILE","input file containing weights of points");
      82           6 :   keys.reset_style("USE_OUTPUT_DATA_FROM","optional");
      83           3 : }
      84             : 
      85           2 : ReadDissimilarityMatrix::ReadDissimilarityMatrix( const ActionOptions& ao ):
      86             :   Action(ao),
      87             :   AnalysisBase(ao),
      88           2 :   nnodes(1)
      89             : {
      90           2 :   setStride(1); // Set the stride equal to one to ensure we don't get stuck in an infinite loop
      91           2 :   std::vector<ActionSetup*> setupActions=plumed.getActionSet().select<ActionSetup*>();
      92           2 :   if( my_input_data && (plumed.getActionSet().size()-setupActions.size())!=1 ) error("should only be this action and the READ_ANALYSIS_FRAMES command in the input file");
      93           2 :   if( !my_input_data && plumed.getActionSet().size()!=0 ) error("read dissimilarity matrix command must be at top of input file");
      94             : 
      95           2 :   parse("FILE",fname);
      96           2 :   log.printf("  reading dissimilarity matrix from file %s \n",fname.c_str() );
      97           4 :   parse("WFILE",wfile);
      98             : 
      99           2 :   if( wfile.length()>0 ) log.printf("  reading weights of nodes from file named %s \n",wfile.c_str() );
     100           2 :   else log.printf("  setting weights of all nodes equal to one\n");
     101           2 : }
     102             : 
     103           7 : void ReadDissimilarityMatrix::update() { if(!my_input_data) plumed.stop(); }
     104             : 
     105           2 : void ReadDissimilarityMatrix::runFinalJobs() {
     106           2 :   IFile mfile; mfile.open(fname);
     107             :   // Read in first line
     108           2 :   std::vector<std::string> words; nnodes=0;
     109           4 :   while( nnodes==0 ) {
     110           2 :     Tools::getParsedLine( mfile, words );
     111           2 :     nnodes=words.size();
     112             :   }
     113             : 
     114           2 :   std::vector<double> tmpdis( nnodes );
     115          20 :   for(unsigned j=0; j<nnodes; ++j) Tools::convert( words[j], tmpdis[j] );
     116           2 :   dissimilarities.push_back( tmpdis );
     117             : 
     118          18 :   while( Tools::getParsedLine( mfile, words ) ) {
     119          16 :     if( words.size()!=nnodes ) error("bad formatting in matrix file");
     120         192 :     for(unsigned j=0; j<nnodes; ++j) Tools::convert( words[j], tmpdis[j] );
     121          16 :     dissimilarities.push_back( tmpdis );
     122             :   }
     123           2 :   mfile.close();
     124           2 :   if( my_input_data && dissimilarities.size()!=getNumberOfDataPoints() ) {
     125           0 :     error("mismatch between number of data points in trajectory and the dimensions of the dissimilarity matrix");
     126             :   }
     127           2 :   if( !my_input_data ) fake_data.resize( dissimilarities.size() );
     128             : 
     129           2 :   weights.resize( dissimilarities.size() );
     130           2 :   if( wfile.length()>0 ) {
     131           0 :     IFile wfilef; wfilef.open(wfile);
     132           0 :     for(unsigned i=0; i<weights.size(); ++i) {
     133           0 :       Tools::getParsedLine( wfilef, words ); Tools::convert( words[0], weights[i] );
     134             :     }
     135           0 :     wfilef.close();
     136           0 :   } else {
     137           2 :     weights.assign(weights.size(),1.0);
     138             :   }
     139           2 : }
     140             : 
     141         257 : unsigned ReadDissimilarityMatrix::getNumberOfDataPoints() const {
     142         302 :   if( my_input_data ) return AnalysisBase::getNumberOfDataPoints();
     143         212 :   return dissimilarities.size();
     144             : }
     145             : 
     146           0 : unsigned ReadDissimilarityMatrix::getDataPointIndexInBase( const unsigned& idata ) const {
     147           0 :   return idata;
     148             : }
     149             : 
     150         334 : double ReadDissimilarityMatrix::getDissimilarity( const unsigned& iframe, const unsigned& jframe ) {
     151         334 :   return dissimilarities[iframe][jframe]*dissimilarities[iframe][jframe];
     152             : }
     153             : 
     154           5 : DataCollectionObject& ReadDissimilarityMatrix::getStoredData( const unsigned& idata, const bool& calcdist ) {
     155           5 :   plumed_massert( !calcdist, "cannot calc dist as this data was read in from input");
     156          10 :   if( my_input_data ) return AnalysisBase::getStoredData( idata, calcdist );
     157           0 :   return fake_data[idata];
     158             : }
     159             : 
     160          18 : double ReadDissimilarityMatrix::getWeight( const unsigned& idata ) {
     161          18 :   plumed_assert( idata<dissimilarities.size() ); return weights[idata];
     162             : }
     163             : 
     164             : }
     165             : }

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