void get_projection(em2d::Image *img, const ParticlesTemp &ps,
const RegistrationResult ®,
const ProjectingOptions &options, MasksManagerPtr masks,
String name) {
IMP_LOG_VERBOSE("Generating projection in a em2d::Image" << std::endl);
if (masks == MasksManagerPtr()) {
masks = MasksManagerPtr(
new MasksManager(options.resolution, options.pixel_size));
masks->create_masks(ps);
IMP_LOG_VERBOSE("Masks generated from get_projection()" << std::endl);
}
algebra::Vector3D translation = options.pixel_size * reg.get_shift_3d();
algebra::Rotation3D R = reg.get_rotation();
do_project_particles(ps, img->get_data(), R, translation, options, masks);
if (options.normalize) em2d::do_normalize(img, true);
reg.set_in_image(img->get_header());
img->get_header().set_object_pixel_size(options.pixel_size);
if (options.save_images) {
if (name.empty()) {
IMP_THROW("get_projection: File name string is empty ", IOException);
}
if (options.srw == Pointer<ImageReaderWriter>()) {
IMP_THROW(
"The options class does not have an "
"ImageReaderWriter assigned. Create an ImageReaderWriter "
"and assigned to the srw member of ProjectingOptions.",
IOException);
}
img->write(name, options.srw);
}
}
std::string create_temporary_file_name(std::string prefix, std::string suffix) {
char *env = getenv("IMP_BUILD_ROOT");
std::string imp_tmp;
if (env) {
imp_tmp = internal::get_concatenated_path(env, "build/tmp");
}
#if defined _MSC_VER
std::string tpathstr;
if (imp_tmp.empty()) {
TCHAR tpath[MAX_PATH];
DWORD dwRetVal = GetTempPath(MAX_PATH, tpath);
if (dwRetVal > MAX_PATH || (dwRetVal == 0)) {
IMP_THROW("Unable to find temporary path", IOException);
}
tpathstr = tpath;
} else {
tpathstr = imp_tmp;
}
char filename[MAX_PATH];
if (GetTempFileName(tpathstr.c_str(), prefix.c_str(), 0, filename) == 0) {
IMP_THROW("Unable to create temp file in " << tpathstr, IOException);
}
return std::string(filename) + suffix;
#else
std::string pathprefix;
if (imp_tmp.empty()) {
pathprefix = "/tmp";
} else {
pathprefix = imp_tmp;
}
std::string templ =
internal::get_concatenated_path(pathprefix, prefix + ".XXXXXX");
boost::scoped_array<char> filename;
filename.reset(new char[templ.size() + suffix.size() + 1]);
std::copy(templ.begin(), templ.end(), filename.get());
#ifdef __APPLE__
std::copy(suffix.begin(), suffix.end(), filename.get() + templ.size());
filename[templ.size() + suffix.size()] = '\0';
int fd = mkstemps(filename.get(), suffix.size());
if (fd == -1) {
IMP_THROW("Unable to create temporary file: " << filename.get(),
IOException);
}
close(fd);
#else
filename[templ.size()] = '\0';
int fd = mkstemp(filename.get());
if (fd == -1) {
IMP_THROW("Unable to create temporary file: " << filename.get(),
IOException);
}
close(fd);
std::copy(suffix.begin(), suffix.end(), filename.get() + templ.size());
filename[templ.size() + suffix.size()] = '\0';
#endif
return std::string(filename.get());
#endif
}
bool MSConnectivityScore::check_assignment(NNGraph &G, unsigned int node_handle,
Assignment const &assignment,
EdgeSet &picked) const {
MSConnectivityRestraint::ExperimentalTree::Node const *node =
tree_.get_node(node_handle);
MSConnectivityRestraint::ExperimentalTree::Node::Label const &lb =
node->get_label();
Vector<Tuples> new_tuples;
Ints empty_vector;
for (unsigned int i = 0; i < lb.size(); ++i) {
int prot_count = lb[i].second;
unsigned int id = lb[i].first;
while (new_tuples.size() < id)
new_tuples.push_back(Tuples(empty_vector, 0));
if (prot_count > 0) {
if (!assignment[id].empty()) {
Ints const &configuration = assignment[id].get_tuple();
if (prot_count > int(configuration.size())) {
IMP_THROW("Experimental tree is inconsistent",
IMP::ValueException);
}
new_tuples.push_back(Tuples(configuration, prot_count));
} else {
IMP_THROW("Experimental tree is inconsistent",
IMP::ValueException);
}
} else
new_tuples.push_back(Tuples(empty_vector, 0));
}
while (new_tuples.size() <
restraint_.particle_matrix_.get_number_of_classes())
new_tuples.push_back(Tuples(empty_vector, 0));
Assignment new_assignment(new_tuples);
if (new_assignment.empty()) return false;
do {
NNGraph ng = build_subgraph_from_assignment(G, new_assignment);
if (is_connected(ng)) {
EdgeSet n_picked;
bool good = true;
for (unsigned int i = 0; i < node->get_number_of_children(); ++i) {
unsigned int child_handle = node->get_child(i);
if (!check_assignment(ng, child_handle, new_assignment, n_picked)) {
good = false;
break;
}
}
if (good) {
add_edges_to_set(ng, n_picked);
picked.insert(n_picked.begin(), n_picked.end());
return true;
}
}
} while (new_assignment.next());
return false;
}
void
KinematicForest::add_edge(Joint* joint)
{
joint->set_owner_kf( this );
IMP::core::RigidBody parent_rb = joint->get_parent_node();
IMP::core::RigidBody child_rb = joint->get_child_node();
KinematicNode parent_kn, child_kn;
// decorate parent and store here
kernel::Particle* parent_p = parent_rb.get_particle();
if(!KinematicNode::get_is_setup( parent_p ) ) {
parent_kn = KinematicNode::setup_particle( parent_p, this );
nodes_.insert( parent_kn );
roots_.insert( parent_kn );
} else {
parent_kn = KinematicNode( parent_p );
if( parent_kn.get_owner() != this ) {
IMP_THROW( "the parent rigid body " << parent_rb
<< " in the joint " << joint
<< " was already stored in a different kinematic forest -"
<< " this IMP version does not support such switching",
IMP::base::ValueException );
}
}
// decorate child and store here
kernel::Particle* child_p = child_rb.get_particle();
if(!KinematicNode::get_is_setup( child_p ) ) {
child_kn = KinematicNode::setup_particle( child_p, this, joint );
nodes_.insert( child_kn );
} else {
child_kn = KinematicNode( child_p );
if( child_kn.get_owner() != this ){
IMP_THROW( "the child rigid body " << child_rb
<< " in the joint " << joint
<< " was already stored in a different kinematic forest -"
<< " this IMP version does not support such switching",
IMP::base::ValueException );
}
if( roots_.find( child_kn) != roots_.end() ) {
roots_.erase( child_kn ); // will no longer be a root
} else {
IMP_THROW( "IMP currently does not support switching of "
<< " parents in a kinematic tree",
IMP::base::ValueException );
}
}
// store joint
parent_kn.add_out_joint( joint );
child_kn.set_in_joint( joint );
joints_.push_back( joint);
}
void MultivariateFNormalSufficient::set_W(const MatrixXd& W)
{
if (W.rows() != W_.rows() || W.cols() != W_.cols() || W != W_)
{
if (W.cols() != W.rows()) {
IMP_THROW("need a square matrix!", ModelException);
}
if (W.rows() != M_) {
IMP_THROW("size mismatch for W!" , ModelException);
}
W_ = W;
IMP_LOG(TERSE, "MVN: set W to new matrix"<< std::endl);
flag_PW_ = false;
}
flag_W_ = true;
}
MatrixXd MultivariateFNormalSufficient::evaluate_second_derivative_FM_FM()
const
{
if (N_!=1) IMP_THROW("not implemented when N>1", ModelException);
MatrixXd ret(get_P()/IMP::square(factor_));
return ret;
}
IMPINTEGRATIVEDOCKING_BEGIN_INTERNAL_NAMESPACE
void ResidueContent::read_content_file(const std::string& file_name) {
std::ifstream in_file(file_name.c_str());
if (!in_file) {
IMP_THROW("Can't open file " << file_name, IMP::IOException);
}
std::string line;
while (!in_file.eof()) {
getline(in_file, line);
boost::trim(line); // remove all spaces
// skip comments
if (line[0] == '#' || line[0] == '\0') continue;
std::vector<std::string> split_results;
boost::split(split_results, line, boost::is_any_of("\t "),
boost::token_compress_on);
if (split_results.size() != 2) continue;
int counter = atoi(split_results[1].c_str());
IMP::atom::ResidueType residue_type =
IMP::atom::ResidueType(split_results[0]);
residue_content_[residue_type] = counter;
}
in_file.close();
}
SettingsData *read_settings(const char *filename) {
std::fstream in;
in.open(filename, std::fstream::in);
if (!in.good()) {
IMP_THROW("Problem opening file " << filename << " for reading "
<< std::endl,
ValueException);
}
std::string line;
IMP_NEW(SettingsData, header, ());
getline(in, line); // skip header line
int status = 0;
while (!in.eof()) {
getline(in, line); // skip header line
std::vector<std::string> line_split;
boost::split(line_split, line, boost::is_any_of("|"));
if ((line_split.size() == 10) && (status == 0)) { // protein line
IMP_LOG_VERBOSE("parsing component line:" << line << std::endl);
header->add_component_header(parse_component_line(filename, line));
} else if (status == 0) { // map header line
status = 1;
} else if (status == 1) { // map line
IMP_LOG_VERBOSE("parsing EM line:" << line << std::endl);
header->set_assembly_header(parse_assembly_line(filename, line));
status = 2;
} else if (line.length() > 0) { // don't warn about empty lines
IMP_WARN("the line was not parsed:" << line << "| with status:" << status
<< std::endl);
}
}
in.close();
header->set_assembly_filename(filename);
header->set_data_path(".");
return header.release();
}
void ProjectionFinder::set_projections(const em2d::Images &projections) {
IMP_LOG_TERSE("ProjectionFinder: Setting projections" << std::endl);
if(projections.size()==0) {
IMP_THROW("Passing empty set of projections",ValueException);
}
if(polar_params_.get_is_setup() == false) {
polar_params_.setup(projections[0]->get_data().rows,
projections[0]->get_data().cols);
polar_params_.set_estimated_number_of_angles(
projections[0]->get_header().get_number_of_columns());
polar_params_.create_maps_for_resampling();
}
projections_.resize(projections.size());
unsigned int n_projections = projections_.size();
PROJECTIONS_POLAR_AUTOC_.clear();
PROJECTIONS_POLAR_AUTOC_.resize(n_projections);
projections_cog_.resize(n_projections);
boost::timer preprocessing_timer;
for (unsigned int i = 0; i < n_projections; ++i) {
projections_[i] = projections[i]; // does not copy
std::ostringstream oss;
oss << "Projection" << i;
projections_[i]->set_name(oss.str());
do_preprocess_projection(i);
}
preprocessing_time_ = preprocessing_timer.elapsed();
IMP_LOG_TERSE("ProjectionFinder: Projections set: "
<< projections_.size() << std::endl);
}
void ProjectionFinder::set_subjects(const em2d::Images &subjects) {
IMP_LOG_TERSE("ProjectionFinder: Setting subject images" << std::endl);
if (subjects.size() == 0) {
IMP_THROW("Passing empty set of subjects", ValueException);
}
if (polar_params_.get_is_setup() == false) {
polar_params_.setup(subjects[0]->get_data().rows,
subjects[0]->get_data().cols);
polar_params_.set_estimated_number_of_angles(
subjects[0]->get_header().get_number_of_columns());
polar_params_.create_maps_for_resampling();
}
boost::timer preprocessing_timer;
subjects_.resize(subjects.size());
unsigned int n_subjects = subjects_.size();
registration_results_.clear();
registration_results_.resize(n_subjects);
SUBJECTS_.clear();
SUBJECTS_.resize(n_subjects);
SUBJECTS_POLAR_AUTOC_.clear();
SUBJECTS_POLAR_AUTOC_.resize(n_subjects);
subjects_cog_.resize(n_subjects);
for (unsigned int i = 0; i < n_subjects; ++i) {
subjects_[i] = subjects[i]; // doesn't not deep copy
std::ostringstream oss;
oss << "Image subject " << i;
subjects_[i]->set_name(oss.str());
subjects_[i]->set_was_used(true);
do_preprocess_subject(i);
}
preprocessing_time_ = preprocessing_timer.elapsed();
IMP_LOG_TERSE("ProjectionFinder: Subject images set" << std::endl);
}
ResidueType get_residue_type(char c) {
if (rp_map.find(c) == rp_map.end()) {
IMP_THROW("Residue name not found " << c, ValueException);
} else {
return rp_map.find(c)->second;
}
}
double get_volume_from_residue_type(ResidueType rt) {
typedef std::pair<ResidueType, double> RP;
static const RP radii[]={RP(ResidueType("ALA"), 2.516),
RP(ResidueType("ARG"), 3.244),
RP(ResidueType("ASN"), 2.887),
RP(ResidueType("ASP"), 2.866),
RP(ResidueType("CYS"), 2.710),
RP(ResidueType("GLN"), 3.008),
RP(ResidueType("GLU"), 2.997),
RP(ResidueType("GLY"), 2.273),
RP(ResidueType("HIS"), 3.051),
RP(ResidueType("ILE"), 3.047),
RP(ResidueType("LEU"), 3.052),
RP(ResidueType("LYS"), 3.047),
RP(ResidueType("MET"), 3.068),
RP(ResidueType("PHE"), 3.259),
RP(ResidueType("PRO"), 2.780),
RP(ResidueType("SER"), 2.609),
RP(ResidueType("THR"), 2.799),
RP(ResidueType("TRP"), 3.456),
RP(ResidueType("TYR"), 3.318),
RP(ResidueType("VAL"), 2.888)};
static const IMP::base::map<ResidueType, double> radii_map(radii,
radii
+sizeof(radii)
/sizeof(RP));
if (radii_map.find(rt) == radii_map.end()) {
IMP_THROW( "Can't approximate volume of non-standard residue "
<< rt, ValueException);
}
double r= radii_map.find(rt)->second;
IMP_INTERNAL_CHECK(r>0, "Read garbage r for "<< rt);
return algebra::get_volume(algebra::Sphere3D(algebra::get_zero_vector_d<3>(),
r));
}
em2d::Images get_projections(const ParticlesTemp &ps,
const RegistrationResults ®istration_values,
int rows, int cols,
const ProjectingOptions &options, Strings names) {
IMP_LOG_VERBOSE("Generating projections from registration results"
<< std::endl);
if (options.save_images && (names.size() < registration_values.size())) {
IMP_THROW("get_projections: Insufficient number of image names provided",
IOException);
}
unsigned long n_projs = registration_values.size();
em2d::Images projections(n_projs);
// Precomputation of all the possible projection masks for the particles
MasksManagerPtr masks(
new MasksManager(options.resolution, options.pixel_size));
masks->create_masks(ps);
for (unsigned long i = 0; i < n_projs; ++i) {
IMP_NEW(em2d::Image, img, ());
img->set_size(rows, cols);
img->set_was_used(true);
String name = "";
if (options.save_images) name = names[i];
get_projection(img, ps, registration_values[i], options, masks, name);
projections[i] = img;
}
return projections;
}
double GaussianProcessInterpolationRestraint::get_logdet_hessian() const {
// compute ldlt
IMP_Eigen::LDLT<IMP_Eigen::MatrixXd, IMP_Eigen::Upper> ldlt(get_hessian());
if (!ldlt.isPositive())
IMP_THROW("Hessian matrix is not positive definite!", ModelException);
return ldlt.vectorD().array().abs().log().sum();
}
NNGraph MSConnectivityScore::find_threshold() const {
double max_dist = 1.1 * restraint_.particle_matrix_.max_distance(),
min_dist = restraint_.particle_matrix_.min_distance();
NNGraph g = create_nn_graph(min_dist);
{
std::set<std::pair<unsigned int, unsigned int> > picked;
if (perform_search(g, picked)) {
return pick_graph(picked);
}
g = create_nn_graph(max_dist);
if (!perform_search(g, picked)) {
IMP_THROW("Cannot build a nearest neighbor graph",
IMP::ValueException);
}
}
EdgeSet picked;
while (max_dist - min_dist > eps_) {
double dist = 0.5 * (max_dist + min_dist);
g = create_nn_graph(dist);
EdgeSet tmp_picked;
if (perform_search(g, tmp_picked)) {
picked.swap(tmp_picked);
max_dist = dist;
} else
min_dist = dist;
}
return pick_graph(picked);
}
double GaussianProcessInterpolationRestraintSparse::unprotected_evaluate(
DerivativeAccumulator *accum) const
{
//check if the functions have changed
const_cast<GaussianProcessInterpolationRestraintSparse*>(this)->
update_mean_and_covariance();
double ene = mvn_->evaluate();
if (accum)
{
cholmod_dense *dmv = mvn_->evaluate_derivative_FM();
if (dmv->xtype != CHOLMOD_REAL)
IMP_THROW("matrix type is not real, update code here first",
ModelException);
double *dmvx=(double*) dmv->x;
//derivatives for mean particles
for (size_t i=0; i<M_; i++)
{
DerivativeAccumulator a(*accum, dmvx[i]);
gpi_->mean_function_->add_to_derivatives(gpi_->x_[i], a);
}
cholmod_free_dense(&dmv, c_);
//derivatives for covariance particles
cholmod_sparse *tmp(mvn_->evaluate_derivative_Sigma());
cholmod_triplet *dmvS = cholmod_sparse_to_triplet(tmp, c_);
cholmod_free_sparse(&tmp, c_);
if ((dmvS->itype != CHOLMOD_INT) && (dmvS->xtype != CHOLMOD_REAL))
IMP_THROW("matrix type is not real or coefficients are not int!",
ModelException);
int *dmvi=(int*) dmvS->i;
int *dmvj=(int*) dmvS->j;
dmvx=(double*) dmvS->x;
for (size_t p=0; p<dmvS->nzmax; ++p)
{
int i=dmvi[p];
int j=dmvj[p];
double val=dmvx[p];
DerivativeAccumulator a(*accum, val);
gpi_->covariance_function_->add_to_derivatives(
gpi_->x_[i],gpi_->x_[j], a);
}
cholmod_free_triplet(&dmvS,c_);
}
return ene;
}
VectorXd MultivariateFNormalSufficient::get_FM() const
{
if (!flag_FM_)
{
IMP_THROW("FM was not set!", ModelException);
}
return FM_;
}
void MSConnectivityRestraint::ExperimentalTree::connect(unsigned int parent,
unsigned int child) {
if (finalized_)
IMP_THROW("Cannot add new edges to finalized tree",
IMP::ValueException);
nodes_[parent].children_.push_back(child);
nodes_[child].parents_.push_back(parent);
}
MatrixXd MultivariateFNormalSufficient::get_Sigma() const
{
if (!flag_Sigma_)
{
IMP_THROW("Sigma was not set!", ModelException);
}
return Sigma_;
}
void MultivariateFNormalSufficientSparse::set_FX(const MatrixXd& FX,
double cutoff)
{
if (FX.rows() != FX_.rows() || FX.cols() != FX_.cols() || FX != FX_){
if (FX.rows() != N_) {
IMP_THROW("size mismatch for FX in the number of repetitions: got "
<< FX.rows() << " instead of "<<N_, ModelException);
}
if (FX.cols() != M_) {
IMP_THROW("size mismatch for FX in the number of variables: got "
<<FX.cols() << " instead of "<<M_, ModelException);
}
FX_=FX;
IMP_LOG(TERSE, "MVNsparse: set FX to new matrix"<< std::endl);
compute_sufficient_statistics(cutoff);
}
}
double HybridMonteCarlo::do_evaluate(const kernel::ParticleIndexes &) const
{
if (get_use_incremental_scoring_function())
IMP_THROW("Incremental scoring not supported", ModelException);
double ekin = md_->get_kinetic_energy();
double epot = get_scoring_function()->evaluate(false);
return ekin + epot;
}
VectorXd MultivariateFNormalSufficient::get_Sigma_eigenvalues() const
{
Eigen::SelfAdjointEigenSolver<MatrixXd> eigensolver(get_Sigma(),
Eigen::EigenvaluesOnly);
if (eigensolver.info() != Eigen::Success)
IMP_THROW("Could not determine eigenvalues!", ModelException);
return eigensolver.eigenvalues();
}
MatrixXd MultivariateFNormalSufficient::get_FX() const
{
if (!flag_FX_)
{
IMP_THROW("FX was not set!", ModelException);
}
return FX_;
}
MatrixXd MultivariateFNormalSufficient::evaluate_second_derivative_FM_Sigma(
unsigned k) const
{
if (N_!=1) IMP_THROW("not implemented when N>1", ModelException);
MatrixXd P(get_P());
VectorXd Peps(get_Peps());
MatrixXd ret(P.transpose().col(k)*Peps.transpose());
return ret/IMP::square(factor_);
}
void ImageHeader::write(const String& filename, bool force_reversed) {
std::ofstream f;
f.open(filename.c_str(), std::ios::out | std::ios::binary);
if (f.fail()) {
IMP_THROW("ImageHeader::write: file " + filename + " not found",
IOException);
}
write(f, force_reversed);
f.close();
}
double RigidBodyUmbrella::unprotected_evaluate(DerivativeAccumulator
* accum) const {
if (accum) IMP_THROW("Derivatives not implemented", ModelException);
kernel::ParticleIndexes pis(1, pi_);
internal::Coord x(internal::get_coordinates_from_rbs(get_model(), pis,
ref_));
double d2 = internal::get_squared_distance(x, x0_, k_);
double score = 0.5 * alpha_ * d2;
return score;
}
Writer *create_writer(std::string name) {
typedef std::pair<std::string, boost::shared_ptr<internal::WriterFactory> >
MP;
IMP_FOREACH(MP mp, internal::get_writer_factory_table()) {
if (boost::algorithm::ends_with(name, mp.first)) {
return mp.second->create(name);
}
}
IMP_THROW("No writer found for file " << name, ValueException);
}
double CollisionCrossSection::get_ccs() const {
if (particles_set_) {
return collision_cross_section_;
} else {
IMP_THROW(
"CollisionCrossSection: Can't recover the value, "
"the model particles are not set.",
ValueException);
}
}
void ProjectionFinder::set_fast_mode(unsigned int n) {
if(n>projections_.size() || n==0) {
IMP_THROW("ProjectionFinder fast mode: requested zero projections or "
"more than available",ValueException);
}
number_of_optimized_projections_ = n;
fast_optimization_mode_ = true;
IMP_LOG_TERSE("ProjectionFinder: Fast mode, optimizing "
<< n << " results of the coarse registration " << std::endl);
}
double Optimizer::optimize(unsigned int max_steps) {
IMP_OBJECT_LOG;
set_has_required_score_states(true);
if (!get_model()) {
IMP_THROW("Must give the optimizer a model to optimize",
base::ValueException);
}
set_was_used(true);
set_is_optimizing_states(true);
double ret;
IMP_THREADS((ret, max_steps), ret = do_optimize(max_steps););
