TEST(qpsContainerModel, vectorPodEmpty)
{
using Ints = qps::ContainerModel< QVector, int >;
Ints ints;
EXPECT_EQ( ints.rowCount(), 0 );
EXPECT_EQ( ints.getItemCount(), 0 );
}
void Fragment::set_residue_indexes(kernel::Model *m, kernel::ParticleIndex pi,
Ints o) {
if (o.empty()) {
set_residue_indexes(m, pi, IntPairs());
return;
}
std::sort(o.begin(), o.end());
o.erase(std::unique(o.begin(), o.end()), o.end());
IntPairs pairs;
int begin = 0;
for (unsigned int i = 1; i < o.size(); ++i) {
if (o[i] != o[i - 1] + 1) {
pairs.push_back(IntPair(o[begin], o[i - 1] + 1));
begin = i;
}
}
pairs.push_back(IntPair(o[begin], o.back() + 1));
set_residue_indexes(m, pi, pairs);
using IMP::operator<<;
IMP_IF_CHECK(USAGE) {
for (unsigned int i = 0; i < o.size(); ++i) {
IMP_INTERNAL_CHECK(Fragment(m, pi).get_contains_residue(o[i]),
"Residue index not found after addition: "
<< o << " became " << pairs);
}
}
}
IMPMULTIFITEXPORT
IntsList get_anchor_indices_matching_secondary_structure(
const AnchorsData &ad, const atom::SecondaryStructureResidues &match_ssrs,
Float max_rmsd) {
atom::SecondaryStructureResidues anchor_ssrs =
ad.get_secondary_structure_particles();
IMP_USAGE_CHECK(anchor_ssrs.size() == ad.points_.size(),
"Anchors do not have enough SSEs set");
// double loop unfortunately: for each match_ps check all anchors
IntsList all_matches;
for (atom::SecondaryStructureResidues::const_iterator it_match =
match_ssrs.begin();
it_match != match_ssrs.end(); ++it_match) {
Ints matches;
int count = 0;
for (atom::SecondaryStructureResidues::const_iterator it_anchor =
anchor_ssrs.begin();
it_anchor != anchor_ssrs.end(); ++it_anchor) {
float match_score =
atom::get_secondary_structure_match_score(*it_anchor, *it_match);
if (match_score < max_rmsd) matches.push_back(count);
count++;
}
all_matches.push_back(matches);
}
return all_matches;
}
IMPEM2D_BEGIN_NAMESPACE
Ints ClusterSet::get_clusters_below_cutoff(double cutoff) const {
Ints clusters;
std::vector<bool> is_active(steps_, true);
for (int i = steps_ - 1; i >= 0; --i) {
if (is_active[i] == true && cluster_distances_[i] < cutoff) {
clusters.push_back(get_id_for_cluster_at_step(i));
// Deactivate all the members of the linkage matrix that contain
// the elements of this cluster
Ints to_deactivate;
unsigned int id1 = joined_ids1_[i];
unsigned int id2 = joined_ids2_[i];
if (id1 >= n_elements_) to_deactivate.push_back(id1);
if (id2 >= n_elements_) to_deactivate.push_back(id2);
while (to_deactivate.size() > 0) {
int id = to_deactivate.back();
to_deactivate.pop_back();
int j = get_step_from_id(id); // new row to deactivate
is_active[j] = false;
unsigned int jid1 = joined_ids1_[j];
unsigned int jid2 = joined_ids2_[j];
if (jid1 >= n_elements_) to_deactivate.push_back(jid1);
if (jid2 >= n_elements_) to_deactivate.push_back(jid2);
}
}
is_active[i] = false; // deactivate after considering it
}
return clusters;
}
void ClusterSet::do_join_clusters(unsigned int cluster_id1,
unsigned int cluster_id2,
double distance_between_clusters) {
IMP_LOG_VERBOSE("Joining clusters " << cluster_id1 << " and " << cluster_id2
<< std::endl);
joined_ids1_.push_back(cluster_id1);
joined_ids2_.push_back(cluster_id2);
cluster_distances_.push_back(distance_between_clusters);
Ints ids;
ids.push_back(cluster_id1);
ids.push_back(cluster_id2);
Ints new_cluster;
for (unsigned int i = 0; i < 2; ++i) {
if ((unsigned int)ids[i] < n_elements_) {
new_cluster.push_back(ids[i]);
} else {
unsigned int s = get_step_from_id(ids[i]);
new_cluster.insert(new_cluster.end(), clusters_elements_[s].begin(),
clusters_elements_[s].end());
}
}
clusters_elements_.push_back(new_cluster);
steps_++;
}
/// For algorithm details, see http://wiki.openstreetmap.org/wiki/Relation:multipolygon/Algorithm
void MultipolygonProcessor::process() {
bool allClosed = true;
// NOTE do not count multipolygon tag itself
bool hasNoTags = relation_.tags.size() < 2;
Ints outerIndecies;
Ints innerIndecies;
CoordinateSequences sequences;
for (const auto &member : members_) {
if (member.type!="w")
continue;
Coordinates coordinates;
auto wayPair = context_.wayMap.find(member.refId);
if (wayPair!=context_.wayMap.end()) {
coordinates = wayPair->second->coordinates;
} else {
auto areaPair = context_.areaMap.find(member.refId);
if (areaPair!=context_.areaMap.end()) {
coordinates = areaPair->second->coordinates;
// NOTE make coordinates to be closed ring
coordinates.push_back(coordinates[0]);
// NOTE merge tags to relation
// hasNoTags prevents the case where relation has members with their own tags
// which should be processed independently (geometry reusage)
if (member.role=="outer" && hasNoTags)
mergeTags(areaPair->second->tags);
} else {
auto relationPair = context_.relationMap.find(member.refId);
if (relationPair==context_.relationMap.end())
return; // NOTE cannot fill relation: incomplete data
resolve_(*relationPair->second);
}
}
if (coordinates.empty())
continue;
if (member.role=="outer")
outerIndecies.push_back(static_cast<int>(sequences.size()));
else if (member.role=="inner")
innerIndecies.push_back(static_cast<int>(sequences.size()));
else
continue;
auto sequence = std::make_shared<CoordinateSequence>(member.refId, coordinates);
if (!sequence->isClosed())
allClosed = false;
sequences.push_back(sequence);
}
if (outerIndecies.size()==1 && allClosed)
simpleCase(sequences, outerIndecies, innerIndecies);
else
complexCase(sequences);
}
void Test_example_KeepIf_performance()
{
using namespace fplus;
typedef std::vector<int> Ints;
auto run_loop = [&](const Ints values)
{
Ints odds;
for (int x : values)
if (is_odd_int(x))
odds.push_back(x);
return odds;
};
auto run_stl = [&](const Ints values)
{
Ints odds;
std::copy_if(std::begin(values), std::end(values),
std::back_inserter(odds), is_odd_int);
return odds;
};
auto run_FunctionalPlus = [&](const Ints values)
{ return keep_if(is_odd_int, values); };
// make debug runs faster
#if defined NDEBUG || defined _DEBUG
std::size_t numRuns = 10;
#else
std::size_t numRuns = 20000;
#endif
Ints values = generate<Ints>(rand, 5000);
run_n_times(run_loop, numRuns, "Hand-written for loop", values);
run_n_times(run_stl, numRuns, "std::copy_if", values);
run_n_times(run_FunctionalPlus, numRuns, "FunctionalPlus::keep_if", values);
}
void KMCentersNode::compute_close_centers(const Ints &candidate_centers_inds,
Ints *close_centers_inds) {
const KMPoint *l, *h;
l = bnd_box_.get_point(0);
h = bnd_box_.get_point(1);
// first we calculate the center that is closest to the middle of the
// bounding box
int mid_center_ind = mid_center(candidate_centers_inds);
KMPoint *mid_cen = (*centers_)[mid_center_ind];
double box_dot = 0.; // holds (p-c').(c-c')
double cc_dot = 0.; // holds (c-c').(c-c')
for (Ints::const_iterator it = candidate_centers_inds.begin();
it != candidate_centers_inds.end(); it++) {
if (*it == mid_center_ind) {
close_centers_inds->push_back(*it);
} else {
KMPoint *cand_cen = (*centers_)[*it];
KMPoint closest_vertex = bnd_box_.find_closest_vertex(*cand_cen);
box_dot = 0.;
cc_dot = 0.;
for (int d = 0; d < bnd_box_.get_dim(); d++) {
double cc_comp = (*cand_cen)[d] - (*mid_cen)[d];
cc_dot += cc_comp * cc_comp; // increment dot product
if (cc_comp > 0) {
box_dot += cc_comp * ((*h)[d] - (*mid_cen)[d]);
} else {
box_dot += cc_comp * ((*l)[d] - (*mid_cen)[d]);
}
}
if (cc_dot < 2 * box_dot) {
close_centers_inds->push_back(*it);
}
}
}
}
FrameHandles FrameHandle::get_children() const {
Ints children = get_shared_data()->get_children(get_frame_id());
FrameHandles ret(children.size());
for (unsigned int i = 0; i < ret.size(); ++i) {
ret[i] = FrameHandle(children[i], get_shared_data());
}
return ret;
}
Ints ReplicaExchange::create_exarray()
{
Ints exarray;
for(int i=0;i<nproc_-1;++i) {
exarray.push_back(0);
}
return exarray;
}
int main() {
Ints t;
cout << t.sum() << endl;
cout << t.sum(1) << endl;
cout << t.sum(1, 2) << endl;
cout << t.sum(1, 2, 3) << endl;
return 0;
}
// see http://wiki.openstreetmap.org/wiki/Relation:multipolygon/Algorithm
void MultipolygonProcessor::process()
{
bool allClosed = true;
Ints outerIndecies;
Ints innerIndecies;
CoordinateSequences sequences;
for (const auto& member : members_) {
if (member.type != "way")
continue;
Coordinates coordinates;
auto wayPair = context_.wayMap.find(member.refId);
if (wayPair != context_.wayMap.end()) {
coordinates = wayPair->second->coordinates;
}
else {
auto areaPair = context_.areaMap.find(member.refId);
if (areaPair != context_.areaMap.end()) {
coordinates = areaPair->second->coordinates;
// NOTE merge tags to relation
if (member.role == "outer")
mergeTags(areaPair->second->tags);
}
else {
auto relationPair = context_.relationMap.find(member.refId);
if (relationPair == context_.relationMap.end())
return; // NOTE cannot fill relation: incomplete data
resolve_(*relationPair->second);
}
}
if (coordinates.empty())
continue;
if (member.role == "outer")
outerIndecies.push_back(static_cast<int>(sequences.size()));
else if (member.role == "inner")
innerIndecies.push_back(static_cast<int>(sequences.size()));
else
continue;
auto sequence = std::make_shared<CoordinateSequence>(member.refId, coordinates);
if (!sequence->isClosed())
allClosed = false;
sequences.push_back(sequence);
}
if (outerIndecies.size() == 1 && allClosed)
simpleCase(sequences, outerIndecies, innerIndecies);
else
complexCase(sequences);
}
Ints Fragment::get_residue_indexes() const {
IntPairs ranges = get_residue_index_ranges();
Ints ret;
for (unsigned int i = 0; i < ranges.size(); ++i) {
for (int j = ranges[i].first; j < ranges[i].second; ++j) {
ret.push_back(j);
}
}
return ret;
}
void Paver::pave(const SearchType search) {
temp_.resize(nvars());
Ints certainties;
certainties.assign(nrels() + flags_, -1);
search_ = search;
cert_ = 0;
paving_.clear_boxes();
bandb(paving_, certainties, varbox_.box());
paving_.set_varbox(varbox_);
paving_.set_type(search_);
}
domino::SubsetFilter* ExampleSubsetFilterTable::get_subset_filter(
const domino::Subset& cur_subset,
const domino::Subsets& prior_subsets) const {
IMP_OBJECT_LOG;
Ints its = get_indexes(cur_subset, prior_subsets);
if (its.size() != ps_.size()) {
// either the subset doesn't contain the needed particles or the prior does
return nullptr;
} else {
IMP_NEW(ExampleSubsetFilter, ret, (its, max_diff_));
// remember to release
return ret.release();
}
}
em::DensityMap* remove_background(em::DensityMap *dmap,
float threshold,float edge_threshold) {
DensitySegmentationByCommunities ds(dmap,threshold);
ds.build_density_graph(edge_threshold);
IntsList cc_inds=ds.calculate_connected_components();
//get the largest cc:
Ints sizes;
int max_ind=0;
for(int i=0;i<(int)cc_inds.size();i++) {
sizes.push_back(cc_inds[i].size());
if (i>1){if (sizes[i]>sizes[max_ind]) max_ind=i;}
}
return get_segment_by_indexes(dmap,cc_inds[max_ind]);
}
void NeuNetUI::selectedNets(Ints & netIds) const {
netIds.clear();
for (QTableWidgetItem *item : ui->nets->selectedItems())
if (item && tuteNow.contains(item->row()))
throw AlreadyTute();
for (QTableWidgetItem *item : ui->nets->selectedItems()) {
if (item && item->column() == 0) {
int index = item->row();
netIds.append(index);
}
item->setSelected(false);
}
}
void KMCentersTree::get_assignments(Ints &close_center)
{
IMP_LOG(VERBOSE,"KMCentersTree::get_assignments for "
<< centers_->get_number_of_centers() << " centers "<<std::endl);
close_center.clear();
Ints candidate_centers;
for (int j = 0; j < centers_->get_number_of_centers(); j++) {
candidate_centers.push_back(j);
}
close_center.clear();
for(int i=0;i<data_points_->get_number_of_points();i++) {
close_center.push_back(0);
}
root_->get_assignments(candidate_centers,close_center);
}
bool PymolWriter::handle_polygon(PolygonGeometry *g, Color color,
std::string name) {
setup(name, TRIANGLES);
if (!open_type_) {
get_stream() << "BEGIN, TRIANGLES, ";
open_type_ = TRIANGLES;
}
Ints tris = internal::get_triangles(g);
algebra::Vector3Ds normals = internal::get_normals(tris, g->get_geometry());
for (unsigned int i = 0; i < tris.size() / 3; ++i) {
write_triangle(tris.begin() + 3 * i, tris.begin() + 3 * i + 3,
g->get_geometry(), normals, color, get_stream());
}
return true;
}
IntPairs Fragment::get_residue_index_ranges() const {
if (!get_model()->get_has_attribute(get_begins_key(), get_particle_index())) {
return IntPairs();
}
Ints begins =
get_model()->get_attribute(get_begins_key(), get_particle_index());
Ints ends = get_model()->get_attribute(get_ends_key(), get_particle_index());
IMP_INTERNAL_CHECK(begins.size() == ends.size(),
"The fragment residues are corrupted.");
IntPairs ret(begins.size());
for (unsigned int i = 0; i < ret.size(); ++i) {
ret[i] = IntPair(begins[i], ends[i]);
}
return ret;
}
void RestraintCache::save_cache(const kernel::ParticlesTemp &particle_ordering,
const kernel::RestraintsTemp &restraints,
RMF::HDF5::Group group,
unsigned int max_entries) {
RMF::HDF5::FloatDataSet1Ds scores;
RMF::HDF5::IntDataSet2Ds assignments;
base::map<kernel::Restraint *, int> restraint_index;
ParticleIndex particle_index = get_particle_index(particle_ordering);
Orders orders = get_orders(known_restraints_, restraints, particle_ordering);
// create data sets for restraints
for (unsigned int i = 0; i < restraints.size(); ++i) {
kernel::Restraint *r = restraints[i];
RestraintID rid =
get_restraint_id(particle_index, known_restraints_.find(r)->second,
restraint_index_.find(r)->second);
RMF::HDF5::Group g = group.add_child_group(r->get_name());
g.set_attribute<RMF::HDF5::IndexTraits>(
"restraint", RMF::HDF5::Indexes(1, rid.get_restraint_index()));
g.set_attribute<RMF::HDF5::IndexTraits>(
"particles", RMF::HDF5::Indexes(rid.get_particle_indexes().begin(),
rid.get_particle_indexes().end()));
scores.push_back(g.add_child_data_set<RMF::HDF5::FloatTraits, 1>("scores"));
assignments.push_back(
g.add_child_data_set<RMF::HDF5::IntTraits, 2>("assignments"));
restraint_index[r] = i;
}
// finally start saving them
unsigned int count = 0;
for (Cache::ContentIterator it = cache_.contents_begin();
it != cache_.contents_end(); ++it) {
int ri = restraint_index.find(it->key.get_restraint())->second;
Ints ord = orders[ri].get_list_ordered(it->key.get_assignment());
double score = it->value;
RMF::HDF5::DataSetIndexD<2> asz = assignments[ri].get_size();
RMF::HDF5::DataSetIndexD<1> row(asz[0]);
asz[1] = ord.size();
++asz[0];
assignments[ri].set_size(asz);
assignments[ri].set_row(row, RMF::HDF5::Ints(ord.begin(), ord.end()));
RMF::HDF5::DataSetIndexD<1> ssz = scores[ri].get_size();
RMF::HDF5::DataSetIndexD<1> nsz = ssz;
++nsz[0];
scores[ri].set_size(nsz);
scores[ri].set_value(ssz, score);
++count;
if (count > max_entries) break;
}
}
void KMCentersTree::skeleton_tree(const Ints &p_id,
KMPoint *bb_lo,KMPoint *bb_hi) {
//TODO: where do get n from ?
IMP_INTERNAL_CHECK(data_points_ != nullptr,
"Points must be supplied to construct tree.");
if (p_id.size() == 0) {
for (int i = 0; i < data_points_->get_number_of_points(); i++)
p_id_.push_back(i);
}
else {
for (int i = 0; i < data_points_->get_number_of_points(); i++)
p_id_.push_back(p_id[i]);
}
if (bb_lo == nullptr || bb_hi == nullptr) {
bnd_box_ = bounding_rectangle(0,data_points_->get_number_of_points()-1);;
}
// if points are provided, use it
if (bb_lo != nullptr) {
copy_point(bb_lo,bnd_box_->get_point(0));
}
if (bb_hi != nullptr) {
copy_point(bb_hi,bnd_box_->get_point(1));
}
root_ = nullptr;
}
void AnchorsData::set_secondary_structure_probabilities(
const Particles &ssres_ps, const Ints &indices) {
IMP_USAGE_CHECK(secondary_structure_ps_.size() == points_.size(),
"Secondary structure has not been set up, "
"run AnchorsData::setup_secondary_structure() first");
int anum;
for (int ssnum = 0; ssnum < (int)ssres_ps.size(); ssnum++) {
IMP_USAGE_CHECK(
atom::SecondaryStructureResidue::get_is_setup(ssres_ps[ssnum]),
"SSE Particles must be decorated as"
"SecondaryStructureResidues");
if (indices.size() == 0)
anum = ssnum;
else
anum = indices[ssnum];
atom::SecondaryStructureResidue(secondary_structure_ps_[anum])
.set_prob_helix(
atom::SecondaryStructureResidue(ssres_ps[ssnum]).get_prob_helix());
atom::SecondaryStructureResidue(secondary_structure_ps_[anum])
.set_prob_strand(atom::SecondaryStructureResidue(ssres_ps[ssnum])
.get_prob_strand());
atom::SecondaryStructureResidue(secondary_structure_ps_[anum])
.set_prob_coil(
atom::SecondaryStructureResidue(ssres_ps[ssnum]).get_prob_coil());
}
}
void KNNData::fill_nearest_neighbors_v(const algebra::VectorKD &g,
unsigned int k,
double eps,
Ints &ret) const {
VectorWithIndex d(std::numeric_limits<int>::max(), g);
RealRCTree::
K_neighbor_search search(dynamic_cast<RealRCTree*>(tree_.get())
->tree,
d, k, eps);
IMP_IF_CHECK(base::USAGE_AND_INTERNAL) {
int nump=std::distance(dynamic_cast<RealRCTree*>(tree_.get())
->tree.begin(),
dynamic_cast<RealRCTree*>(tree_.get())
->tree.end());
int realk=std::min<int>(nump, k);
IMP_CHECK_VARIABLE(realk);
IMP_INTERNAL_CHECK(std::distance(search.begin(), search.end())
== static_cast<int>(realk),
"Got the wrong number of points out from CGAL neighbor"
<< " search. Expected " << realk
<< " got "
<< std::distance(search.begin(), search.end()));
}
Ints::iterator rit = ret.begin();
for ( RealRCTree::K_neighbor_search::iterator it = search.begin();
it != search.end(); ++it) {
*rit= it->first;
++rit;
}
}
void KMCentersNodeSplit::get_neighbors(const Ints &cands, KMPointArray *sums,
KMPoint *sum_sqs, Ints *weights) {
if (cands.size() == 1) {
IMP_LOG_VERBOSE("KMCentersNodeSplit::get_neighbors the data points are"
<< " associated to center : " << cands[0] << std::endl);
// post points as neighbors
post_neighbor(sums, sum_sqs, weights, cands[0]);
}
// get cloest candidate to the box represented by the node
else {
Ints new_cands;
IMP_LOG_VERBOSE(
"KMCentersNodeSplit::get_neighbors compute close centers for node:\n");
IMP_LOG_WRITE(VERBOSE, show(IMP_STREAM));
compute_close_centers(cands, &new_cands);
for (unsigned int i = 0; i < new_cands.size(); i++) {
IMP_LOG_VERBOSE(new_cands[i] << " | ");
}
IMP_LOG_VERBOSE("\nKMCentersNodeSplit::get_neighbors call left child with "
<< new_cands.size() << " candidates\n");
children_[0]->get_neighbors(new_cands, sums, sum_sqs, weights);
IMP_LOG_VERBOSE("KMCentersNodeSplit::get_neighbors call right child with "
<< new_cands.size() << " candidates\n");
children_[1]->get_neighbors(new_cands, sums, sum_sqs, weights);
}
}
Hierarchy create_protein(Model *m, std::string name, double resolution,
int number_of_residues, int first_residue_index,
double volume, bool ismol) {
double mass =
atom::get_mass_from_number_of_residues(number_of_residues) / 1000;
if (volume < 0) {
volume = atom::get_volume_from_mass(mass * 1000);
}
// assume a 20% overlap in the beads to make the protein not too bumpy
double overlap_frac = .2;
std::pair<int, double> nr = compute_n(volume, resolution, overlap_frac);
Hierarchy pd = Hierarchy::setup_particle(new Particle(m));
Ints residues;
for (int i = 0; i < number_of_residues; ++i) {
residues.push_back(i + first_residue_index);
}
atom::Fragment::setup_particle(pd, residues);
if (ismol) Molecule::setup_particle(pd);
pd->set_name(name);
for (int i = 0; i < nr.first; ++i) {
Particle *pc;
if (nr.first > 1) {
pc = new Particle(m);
std::ostringstream oss;
oss << name << "-" << i;
pc->set_name(oss.str());
atom::Fragment pcd = atom::Fragment::setup_particle(pc);
Ints indexes;
for (int j = i * (number_of_residues / nr.first) + first_residue_index;
j < (i + 1) * (number_of_residues / nr.first) + first_residue_index;
++j) {
indexes.push_back(j);
}
pcd.set_residue_indexes(indexes);
pd.add_child(pcd);
} else {
pc = pd;
}
core::XYZR xyzd = core::XYZR::setup_particle(pc);
xyzd.set_radius(nr.second);
atom::Mass::setup_particle(pc, mass / nr.first);
}
IMP_INTERNAL_CHECK(pd.get_is_valid(true), "Invalid hierarchy produced "
<< pd);
return pd;
}
TEST(qpsContainerModel, vectorPtrData)
{
using Ints = qps::ContainerModel< QVector, int >;
Ints ints;
ints.append( 42 );
ints.append( 43 );
ints.append( 44 );
QVariant v = ints.data( ints.index( 0 ) );
EXPECT_EQ( v.toString(), "42" );
using QObjects = qps::ContainerModel< QVector, QObject* >;
QObjects objects;
QObject* o = new QObject();
objects.append( o );
EXPECT_EQ( objects.data( objects.index( 0 ), QObjects::ItemRole ), QVariant::fromValue<QObject*>( o ) );
//EXPECT_EQ( objects.data( objects.index( 0 ) ), QVariant( "Item #0" ) );
}
bool PymolWriter::handle_surface(SurfaceMeshGeometry *g, Color color,
std::string name) {
setup(name, TRIANGLES);
if (!open_type_) {
get_stream() << "BEGIN, TRIANGLES, ";
open_type_ = TRIANGLES;
}
Ints triangles = internal::get_triangles(g);
algebra::Vector3Ds normals =
internal::get_normals(triangles, g->get_vertexes());
IMP_INTERNAL_CHECK(triangles.size() % 3 == 0,
"The returned triangles aren't triangles");
for (unsigned int i = 0; i < triangles.size() / 3; ++i) {
write_triangle(triangles.begin() + 3 * i, triangles.begin() + 3 * i + 3,
g->get_vertexes(), normals, color, get_stream());
}
return true;
}
PartitionalClustering *
RecursivePartitionalClusteringMetric::create_full_clustering(
PartitionalClustering *center_cluster) {
IMP::base::Vector<Ints> clusters(center_cluster->get_number_of_clusters());
Ints reps(clusters.size());
for (unsigned int i = 0; i < clusters.size(); ++i) {
Ints outer = center_cluster->get_cluster(i);
reps[i] = clustering_->get_cluster_representative(
center_cluster->get_cluster_representative(i));
for (unsigned int j = 0; j < outer.size(); ++j) {
Ints inner = clustering_->get_cluster(outer[j]);
clusters[i].insert(clusters[i].end(), inner.begin(), inner.end());
}
}
IMP_NEW(internal::TrivialPartitionalClustering, ret, (clusters, reps));
validate_partitional_clustering(ret, metric_->get_number_of_items());
return ret.release();
}
Hierarchy create_protein(Model *m, std::string name, double resolution,
const Ints db) {
Hierarchy root = Hierarchy::setup_particle(new Particle(m));
Domain::setup_particle(root, IntRange(db.front(), db.back()));
for (unsigned int i = 1; i < db.size(); ++i) {
std::ostringstream oss;
oss << name << "-" << i - 1;
Hierarchy cur = create_protein(
m, oss.str(), resolution, db[i] - db[i - 1], db[i - 1],
atom::get_volume_from_mass(
atom::get_mass_from_number_of_residues(db[i] - db[i - 1])),
false);
root.add_child(cur);
}
Molecule::setup_particle(root);
root->set_name(name);
return root;
}
