LCOV - code coverage report
Current view: top level - adjmat - ClusteringBase.cpp (source / functions) Hit Total Coverage
Test: plumed test coverage Lines: 29 31 93.5 %
Date: 2020-11-18 11:20:57 Functions: 8 10 80.0 %

          Line data    Source code
       1             : /* +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
       2             :    Copyright (c) 2015-2019 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 "ClusteringBase.h"
      23             : #include "AdjacencyMatrixBase.h"
      24             : #include "AdjacencyMatrixVessel.h"
      25             : 
      26             : namespace PLMD {
      27             : namespace adjmat {
      28             : 
      29          19 : void ClusteringBase::registerKeywords( Keywords& keys ) {
      30          19 :   ActionWithInputMatrix::registerKeywords( keys );
      31          19 : }
      32             : 
      33          17 : ClusteringBase::ClusteringBase(const ActionOptions&ao):
      34             :   Action(ao),
      35             :   ActionWithInputMatrix(ao),
      36          34 :   number_of_cluster(-1)
      37             : {
      38          17 :   if( getAdjacencyVessel() ) {
      39          15 :     cluster_sizes.resize(getNumberOfNodes()); which_cluster.resize(getNumberOfNodes());
      40          15 :     if( getNumberOfNodeTypes()!=1 ) error("should only be running clustering with one base multicolvar in function");
      41          15 :     if( !getAdjacencyVessel()->undirectedGraph() ) error("input contact matrix is incompatible with clustering");
      42             :   }
      43          34 :   if( keywords.exists("MATRIX") ) {
      44          15 :     std::vector<AtomNumber> fake_atoms; setupMultiColvarBase( fake_atoms );
      45             :   }
      46          17 : }
      47             : 
      48           8 : void ClusteringBase::turnOnDerivatives() {
      49             :   // Check base multicolvar isn't density probably other things shouldn't be allowed here as well
      50          16 :   if( (getAdjacencyVessel()->getMatrixAction())->getNumberOfBaseMultiColvars()>0 ) {
      51           7 :     if( getBaseMultiColvar(0)->isDensity() ) error("DFS clustering cannot be differentiated if base multicolvar is DENSITY");
      52             :   }
      53             : 
      54             :   // Ensure that derivatives are turned on in base classes
      55           8 :   ActionWithInputMatrix::turnOnDerivatives();
      56           8 : }
      57             : 
      58          26 : void ClusteringBase::calculate() {
      59             :   // All the clusters have zero size initially
      60       32824 :   for(unsigned i=0; i<cluster_sizes.size(); ++i) { cluster_sizes[i].first=0; cluster_sizes[i].second=i; }
      61             :   // Do the clustering bit
      62          26 :   performClustering();
      63             :   // Order the clusters in the system by size (this returns ascending order )
      64             :   std::sort( cluster_sizes.begin(), cluster_sizes.end() );
      65          26 : }
      66             : 
      67          74 : void ClusteringBase::retrieveAtomsInCluster( const unsigned& clust, std::vector<unsigned>& myatoms ) const {
      68         148 :   unsigned n=0; myatoms.resize( cluster_sizes[cluster_sizes.size() - clust].first );
      69       90500 :   for(unsigned i=0; i<getNumberOfNodes(); ++i) {
      70      184843 :     if( which_cluster[i]==cluster_sizes[cluster_sizes.size() - clust].second ) { myatoms[n]=i; n++; }
      71             :   }
      72          74 : }
      73             : 
      74           0 : bool ClusteringBase::areConnected( const unsigned& iatom, const unsigned& jatom ) const {
      75           0 :   return getAdjacencyVessel()->nodesAreConnected( iatom, jatom );
      76             : }
      77             : 
      78           8 : double ClusteringBase::getCutoffForConnection() const {
      79           8 :   return getAdjacencyVessel()->getCutoffForConnection();
      80             : }
      81             : 
      82             : }
      83        4839 : }

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