void GeospatialBoundingBox::exportInformationFile() {
FILE *file_ptr = fopen(_format("%s.info",file_name.c_str()).c_str(), "w");
fprintf(file_ptr, "centroid: %f %f %f\n", centroid(0), centroid(1), centroid(2));
fprintf(file_ptr, "resolution: %f %f %f\n",resolution(0), resolution(1), resolution(2));
fprintf(file_ptr, "min_pt: %f %f %f\n", min_pt(0), min_pt(1), min_pt(2));
fprintf(file_ptr, "max_pt: %f %f %f\n", max_pt(0), max_pt(1), max_pt(2));
fprintf(file_ptr, "points: %d\n", number_of_points);
fclose(file_ptr);
return;
}
void particleScene::draw(float x, float y, float scale){
// moved here for convenience
if (bGenerate) {
for (int i = 0; i < flow->features.size(); i++) {
if (flow->motion[i + flow->motion.size()/2].lengthSquared() > threshold) {
ofVec2f featMapped;
featMapped.x = ((flow->features[i].x - 160) * scale + 160 + x);
featMapped.y = ((flow->features[i].y - 120) * scale + 120 + y);
ofVec2f featVel;
featVel.x = flow->motion[i + flow->motion.size()/2].x * scale;
featVel.y = flow->motion[i + flow->motion.size()/2].y * scale;
particles.add(featMapped, featVel * velMult);
}
}
}
else {
if (flow->motion.size() > 0) {
for (int i = 0; i < particles.particles.size(); i++) {
ofVec2f featVel;
featVel.x = flow->motion[i + flow->motion.size()/2].x * scale;
featVel.y = flow->motion[i + flow->motion.size()/2].y * scale;
if (bReverse) featVel *= -1;
particles.particles[i]->vel+= featVel * velMult;
}
}
}
ofVec2f centroid(0,0);
for (int i = 0; i < flow->features.size(); i++) {
centroid+=flow->features[i];
}
centroid/=flow->features.size();
particles.update(centroid.x, centroid.y);
particles.draw(particleColor);
///draw
//
// ofPushMatrix();
// ofTranslate(x, y);
// ofTranslate(160, 120);
// ofScale(scale, scale);
// ofTranslate(-160, -120);
// ofPopMatrix();
// if (bDebug) {
// for (int i = 0; i < particles.particles.size(); i++) {
// cout << "particle[" << i << "].pos = " << particles.particles[i]->pos << endl;
// }
// bDebug = false;
// }
// bDebug = false;
}
tetra* step(const tetra *t, const point *p, std::vector<tetra*> &branches) {
tetra *step = nullptr;
point centroid((t->p[0]->x + t->p[1]->x + t->p[2]->x + t->p[3]->x)/4,
(t->p[0]->y + t->p[1]->y + t->p[2]->y + t->p[3]->y)/4,
(t->p[0]->z + t->p[1]->z + t->p[2]->z + t->p[3]->z)/4
);
for (unsigned int i = 0; i < 4; ++i) {
if (!t->ngb[i])
continue;
unsigned int included = fast_triangle_ray_inclusion(t->f[i], ¢roid, p);
if (included != 0) {
if (!step)
step = t->ngb[i];
else
branches.push_back(t->ngb[i]);
}
}
return step;
}
/*!
moves and rotates the quad such that it enables us to
use components of ef's
*/
void localize_quad_for_ef( VerdictVector node_pos[4])
{
VerdictVector centroid(node_pos[0]);
centroid += node_pos[1];
centroid += node_pos[2];
centroid += node_pos[3];
centroid /= 4.0;
node_pos[0] -= centroid;
node_pos[1] -= centroid;
node_pos[2] -= centroid;
node_pos[3] -= centroid;
VerdictVector rotate = node_pos[1] + node_pos[2] - node_pos[3] - node_pos[0];
rotate.normalize();
double cosine = rotate.x();
double sine = rotate.y();
double xnew;
for (int i=0; i < 4; i++)
{
xnew = cosine * node_pos[i].x() + sine * node_pos[i].y();
node_pos[i].y( -sine * node_pos[i].x() + cosine * node_pos[i].y() );
node_pos[i].x(xnew);
}
}
double_xy calculateCentroid( tBlob& bo ) {
struct centroid {
uint32_t icount;
uint32_t xsum;
uint32_t ysum;
centroid(): icount( 0 ), xsum( 0 ), ysum( 0 ) {}
void operator()( tStreak const& s ) {
int l = s.length();
// -- add y coordinates
ysum += s.y() * l;
// -- add x coordinates
int ix = s.x();
icount += l;
while( l-- ) {
xsum += ix;
ix++;
}
}
};
centroid const& s = for_each( bo.streaks().begin(), bo.streaks().end(), centroid() );
double x = static_cast<double>(s.xsum) / static_cast<double>(s.icount);
double y = static_cast<double>(s.ysum) / static_cast<double>(s.icount);
bo._centerOfMass = double_xy( x, y );
return bo._centerOfMass;
}
/*!
* \brief BestFitPlane::setUpResult
* \param plane
* \return
*/
bool BestFitPlane::setUpResult(Plane &plane){
//get and check input observations
if(!this->inputElements.contains(0) || this->inputElements[0].size() < 3){
emit this->sendMessage(QString("Not enough valid observations to fit the plane %1").arg(plane.getFeatureName()), eWarningMessage);
return false;
}
QList<QPointer<Observation> > inputObservations;
foreach(const InputElement &element, this->inputElements[0]){
if(!element.observation.isNull() && element.observation->getIsSolved() && element.observation->getIsValid()
&& element.shouldBeUsed){
inputObservations.append(element.observation);
this->setIsUsed(0, element.id, true);
continue;
}
this->setIsUsed(0, element.id, false);
}
if(inputObservations.size() < 3){
emit this->sendMessage(QString("Not enough valid observations to fit the plane %1").arg(plane.getFeatureName()), eWarningMessage);
return false;
}
//centroid
OiVec centroid(4);
foreach(const QPointer<Observation> &obs, inputObservations){
centroid = centroid + obs->getXYZ();
}
Vector3 Winding::centroid(const Plane3& plane) const
{
Vector3 centroid(0,0,0);
float area2 = 0, x_sum = 0, y_sum = 0;
const ProjectionAxis axis = projectionaxis_for_normal(plane.normal());
const indexremap_t remap = indexremap_for_projectionaxis(axis);
for (std::size_t i = size() - 1, j = 0; j < size(); i = j, ++j)
{
const float ai = (*this)[i].vertex[remap.x]
* (*this)[j].vertex[remap.y] - (*this)[j].vertex[remap.x]
* (*this)[i].vertex[remap.y];
area2 += ai;
x_sum += ((*this)[j].vertex[remap.x] + (*this)[i].vertex[remap.x]) * ai;
y_sum += ((*this)[j].vertex[remap.y] + (*this)[i].vertex[remap.y]) * ai;
}
centroid[remap.x] = x_sum / (3 * area2);
centroid[remap.y] = y_sum / (3 * area2);
{
Ray ray(Vector3(0, 0, 0), Vector3(0, 0, 0));
ray.origin[remap.x] = centroid[remap.x];
ray.origin[remap.y] = centroid[remap.y];
ray.direction[remap.z] = 1;
centroid[remap.z] = ray.getDistance(plane);
}
return centroid;
}
float Correlator::yforx(float x) {
// float a=angle();
float g=grad();
V2d cen=centroid();
float b=cen.y-g*cen.x;
return g*x+b;
}
//-------------------------------------------------------------------------
// Purpose :
//
// Special Notes :
//
// Creator : Jason Kraftcheck
//
// Creation Date : 05/10/04
//-------------------------------------------------------------------------
CubitStatus PartitionBody::mass_properties( CubitVector& result, double& volume )
{
DLIList<Lump*> lump_list;
lumps( lump_list );
DLIList<PartitionLump*> part_list;
CAST_LIST( lump_list, part_list, PartitionLump );
if (part_list.size() < lump_list.size())
return real_body()->mass_properties( result, volume );
CubitVector centroid(0.0, 0.0, 0.0), tmp_centroid;
volume = 0.0;
double tmp_volume;
for (int i = part_list.size(); i--; )
{
if (CUBIT_FAILURE ==
part_list.get_and_step()->mass_properties( tmp_centroid, tmp_volume ))
return CUBIT_FAILURE;
centroid += tmp_volume * tmp_centroid;
volume += tmp_volume;
}
if (volume > CUBIT_RESABS)
{
result = centroid / volume;
}
else
{
result.set( 0.0, 0.0, 0.0 );
volume = 0.0;
}
return CUBIT_SUCCESS;
}
// Computes the centroid of a given cloud
Eigen::Vector4f compute_centroid(pcl::PointCloud<pcl::PointXYZ> cloud)
{
Eigen::Vector4f centroid(4);
centroid.setZero ();
// For each point in the cloud
int cp = 0;
// If the data is dense, we don't need to check for NaN
if (cloud.is_dense)
{
for (size_t i = 0; i < cloud.points.size (); ++i)
centroid += cloud.points[i].getVector4fMap ();
centroid[3] = 0;
centroid /= cloud.points.size ();
}
// NaN or Inf values could exist => check for them
else
{
for (size_t i = 0; i < cloud.points.size (); ++i)
{
// Check if the point is invalid
if (!pcl_isfinite (cloud.points[i].x) ||
!pcl_isfinite (cloud.points[i].y) ||
!pcl_isfinite (cloud.points[i].z))
continue;
centroid += cloud.points[i].getVector4fMap ();
cp++;
}
centroid[3] = 0;
centroid /= cp;
}
return centroid;
}
Garbage * GarbageHistoric::guessPosition(){
//assumes linear movement using last known delta/position
std::vector<int> newCentroid (2,0);
std::vector<int> centroid (this->garbage->getCentroid());
std::vector<int> delta (this->deltaPos);
int factor=(this->age - this->lastAppeareance);
if(factor<=1){
return this->garbage;
}
int deltax=(factor-1)*delta[0];
int deltay=(factor-1)*delta[1];
newCentroid[0]=centroid[0] +deltax;
newCentroid[1]=centroid[1] +deltay;
MinimalBoundingRectangle * oldMbr=this->garbage->boundingBox();
int x=oldMbr->x;
int y=oldMbr->y;
int h=oldMbr->getHeight();
int w=oldMbr->getWidth();
MinimalBoundingRectangle * mbr= new MinimalBoundingRectangle(x+deltax,y+deltay,w,h);
Garbage * newGarbage=new Garbage(mbr,newCentroid);
//benchmark purposes
newGarbage->isFocused=this->garbage->isFocused;
newGarbage->isPredicted=this->garbage->isPredicted;
newGarbage->isVisualized=this->garbage->isVisualized;
return newGarbage;
}
void
MoGES::missing::sortCircular
(
std::vector<Point>& pointsA
)
{
// Compute the center of gravity.
Point centroidL = centroid(pointsA);
// Copy points to the more suitable list container and make them mean free.
std::list<Point> pointsL;
for
( std::vector<Point>::const_iterator pointItL = pointsA.begin();
pointItL < pointsA.end();
++pointItL )
{
pointsL.push_back(*pointItL - centroidL);
}
// Sort points counter-clockwise.
pointsL.sort(smallerAngleToXAxis<Point>);
// Copy points to vector and restore their original position in space.
std::list<Point>::const_iterator pointItL = pointsL.begin();
std::vector<Point>::iterator resultItL = pointsA.begin();
while (pointItL != pointsL.end())
{
*resultItL = *pointItL + centroidL;
++resultItL; ++pointItL;
}
}
Sym3x3 ComputeWeightedCovariance( int n, Vec3 const* points, float const* weights, Vec3::Arg metric )
{
// compute the centroid
float total = 0.0f;
Vec3 centroid( 0.0f );
for( int i = 0; i < n; ++i )
{
total += weights[i];
centroid += weights[i]*points[i];
}
centroid /= total;
// accumulate the covariance matrix
Sym3x3 covariance( 0.0f );
for( int i = 0; i < n; ++i )
{
Vec3 a = (points[i] - centroid) * metric;
Vec3 b = weights[i]*a;
covariance[0] += a.X()*b.X();
covariance[1] += a.X()*b.Y();
covariance[2] += a.X()*b.Z();
covariance[3] += a.Y()*b.Y();
covariance[4] += a.Y()*b.Z();
covariance[5] += a.Z()*b.Z();
}
// return it
return covariance;
}
double YARPOrientation::Apply(const YARPImageOf<YarpPixelMono> &image)
{
double
x = 0.0,
y = 0.0 ;
centroid(image, x, y) ;
double
argsin = 0.0,
argcos = 0.0 ;
arguments(image, x, y, argsin, argcos) ;
double
angle = 0.0 ;
if (argsin > 0.0 && argcos > 0.0)
angle = (asin(argsin)) / 2.0 ;
else if (argsin > 0.0 && argcos < 0.0)
angle = (acos(argcos)) / 2.0 ;
else if (argsin < 0.0 && argcos < 0.0)
angle = (-1.0) * (acos(argcos)) / 2.0;
else if (argsin < 0.0 && argcos > 0.0)
angle = (asin(argsin)) / 2.0 ;
#ifdef __WIN32__
return angle == numeric_limits<double>::signaling_NaN() ? 0 : - angle ;
#else
//should check for error using ERRNO kind of stuff.
return -angle;
#endif
}
void
FeatureFloodCount::flood(const DofObject * dof_object, unsigned long current_idx, FeatureData * feature)
{
if (dof_object == nullptr)
return;
// Retrieve the id of the current entity
auto entity_id = dof_object->id();
// Has this entity already been marked? - if so move along
if (_entities_visited[current_idx].find(entity_id) != _entities_visited[current_idx].end())
return;
// Mark this entity as visited
_entities_visited[current_idx][entity_id] = true;
// Determine which threshold to use based on whether this is an established region
auto threshold = feature ? _step_connecting_threshold : _step_threshold;
// Get the value of the current variable for the current entity
Real entity_value;
if (_is_elemental)
{
const Elem * elem = static_cast<const Elem *>(dof_object);
std::vector<Point> centroid(1, elem->centroid());
_subproblem.reinitElemPhys(elem, centroid, 0);
entity_value = _vars[current_idx]->sln()[0];
}
else
entity_value = _vars[current_idx]->getNodalValue(*static_cast<const Node *>(dof_object));
// This node hasn't been marked, is it in a feature? We must respect
// the user-selected value of _use_less_than_threshold_comparison.
if (_use_less_than_threshold_comparison && (entity_value < threshold))
return;
if (!_use_less_than_threshold_comparison && (entity_value > threshold))
return;
/**
* If we reach this point (i.e. we haven't returned early from this routine),
* we've found a new mesh entity that's part of a feature.
*/
auto map_num = _single_map_mode ? decltype(current_idx)(0) : current_idx;
// New Feature (we need to create it and add it to our data structure)
if (!feature)
_partial_feature_sets[map_num].emplace_back(current_idx);
// Get a handle to the feature we will update (always the last feature in the data structure)
feature = &_partial_feature_sets[map_num].back();
// Insert the current entity into the local ids map
feature->_local_ids.insert(entity_id);
if (_is_elemental)
visitElementalNeighbors(static_cast<const Elem *>(dof_object), current_idx, feature, /*expand_halos_only =*/false);
else
visitNodalNeighbors(static_cast<const Node *>(dof_object), current_idx, feature, /*expand_halos_only =*/false);
}
void Enumerator::create_partition(std::vector<Plane>& partition, Plane& left) {
if (left.size() == 0) {
Plane cen = centroid(partition);
double costs = evaluate_partition(partition, cen, fix_costs);
if (costs < best_costs) {
best_costs = costs;
best_sites = cen;
best_partition = partition;
//std::cout << "current best value = " << costs << std::endl;
}
return;
}
Point current = left.back();
left.pop_back();
// insert into each existing subset
for (unsigned int i = 0; i < partition.size(); ++i) {
if ((int) partition[i].size() < capacity) { //only if <capacity
partition[i].push_back(current);
create_partition(partition, left);
partition[i].pop_back();
}
}
// deal with case: new subset for current element
partition.push_back(Plane());
partition.back().push_back(current);
create_partition(partition, left);
partition.pop_back();
// restore
left.push_back(current);
}
void Polygon::normalize() {
// Assume centroid at point 0,0
Vector2d centroid(0,0);
double area = 0;
const double three_inverse = 1/3;
// For each triangle
for(int i = 0;i<vertex_count;i++)
{
Vector2d p1(vertices[i]);
int j = i + 1 <vertex_count ? i+1 :0;
Vector2d p2(vertices[j]);
double d = cross(p1,p2);
// Calculate triangle area
double triangle_area = 0.5 * d;
area += triangle_area;
// http://www.seas.upenn.edu/~sys502/extra_materials/Polygon%20Area%20and%20Centroid.pdf
centroid += triangle_area * three_inverse * (p1+p2);
}
centroid *= 1 / area;
// Correct vertices
for(int i = 0;i<vertex_count;i++)
vertices[i]-=centroid;
}
int main(int argc, char ** argv)
{
#ifdef QUESO_HAS_MPI
MPI_Init(&argc, &argv);
QUESO::FullEnvironment env(MPI_COMM_WORLD, "", "", NULL);
#else
QUESO::FullEnvironment env("", "", NULL);
#endif
QUESO::VectorSpace<> paramSpace1(env, "param1_", 4, NULL);
QUESO::VectorSpace<> paramSpace2(env, "param2_", 2, NULL);
QUESO::GslVector paramMins1(paramSpace1.zeroVector());
paramMins1[0] = 1e2;
paramMins1[1] = -1e5;
paramMins1[2] = 4e-3;
paramMins1[3] = 1;
QUESO::GslVector paramMaxs1(paramSpace1.zeroVector());
paramMaxs1[0] = 2e2;
paramMaxs1[1] = 1e5;
paramMaxs1[2] = 6e-3;
paramMaxs1[3] = 11;
QUESO::BoxSubset<> paramDomain1("", paramSpace1, paramMins1, paramMaxs1);
QUESO::GslVector paramMins2(paramSpace2.zeroVector());
paramMins2[0] = -1e5;
paramMins2[1] = 2e-3;
QUESO::GslVector paramMaxs2(paramSpace2.zeroVector());
paramMaxs2[0] = 1e5;
paramMaxs2[1] = 4e-3;
QUESO::BoxSubset<> paramDomain2("", paramSpace2, paramMins2, paramMaxs2);
QUESO::VectorSpace<> paramSpace(env, "param_", 6, NULL);
QUESO::ConcatenationSubset<QUESO::GslVector,QUESO::GslMatrix>
paramDomain("",paramSpace,paramDomain1,paramDomain2);
QUESO::GslVector centroid(paramSpace.zeroVector());
paramDomain.centroid(centroid);
const char *msg = "ConcatenationSubset centroid is incorrect";
queso_require_less_equal_msg(std::abs(centroid[0]-1.5e2), TOL, msg);
queso_require_less_equal_msg(std::abs(centroid[1]), TOL, msg);
queso_require_less_equal_msg(std::abs(centroid[2]-5e-3), TOL, msg);
queso_require_less_equal_msg(std::abs(centroid[3]-6), TOL, msg);
queso_require_less_equal_msg(std::abs(centroid[4]), TOL, msg);
queso_require_less_equal_msg(std::abs(centroid[5]-3e-3), TOL, msg);
#ifdef QUESO_HAS_MPI
MPI_Finalize();
#endif
return 0;
}
float Correlator::crossesyxoutliers() {
float g=bestgradxoutliers();
// y=Ax+b b=y-Ax x=-b/A
V2d cen=centroid();
float b=cen.y-g*cen.x;
float x=-b/g;
return x;
}
void Face::update(){
if(upToDate){
return;
}
double x0, y0, x1, y1;
x0 = (*vertexA)(0);
y0 = (*vertexA)(1);
x1 = (*vertexB)(0);
y1 = (*vertexB)(1);
area = sqrt(pow2(x1 - x0) + pow2(y1 - y0));
centroid(0) = (x0 + x1)/2;
centroid(1) = (y0 + y1)/2;
//upToDate = true;
}
// None of the rest has been compensated for weighting
float Correlator::crossesy() {
float g=grad();
// y=Ax+b b=y-Ax x=-b/A
V2d cen=centroid();
float b=cen.y-g*cen.x;
float x=-b/g;
return x;
}
inline Point return_centroid(Geometry const& geometry)
{
concept::check_concepts_and_equal_dimensions<Point, Geometry const>();
Point c;
centroid(geometry, c);
return c;
}
float3 FaceCenter(const Face & face)
{
float3 centroid(0,0,0); // ok not really, but ill make a better routine later!
for(unsigned int i=0;i<face.vertex.size();i++) {
centroid = centroid + face.vertex[i];
}
return centroid/(float)face.vertex.size();
}
bool TextStyleBuilder::addFeatureCommon(const Feature& _feat, const DrawRule& _rule, bool _iconText) {
TextStyle::Parameters params = applyRule(_rule, _feat.props, _iconText);
Label::Type labelType;
if (_feat.geometryType == GeometryType::lines) {
labelType = Label::Type::line;
params.wordWrap = false;
} else {
labelType = Label::Type::point;
}
// Keep start position of new quads
size_t quadsStart = m_quads.size();
size_t numLabels = m_labels.size();
if (!prepareLabel(params, labelType)) { return false; }
if (_feat.geometryType == GeometryType::points) {
for (auto& point : _feat.points) {
auto p = glm::vec2(point);
addLabel(params, Label::Type::point, { p, p });
}
} else if (_feat.geometryType == GeometryType::polygons) {
for (auto& polygon : _feat.polygons) {
if (_iconText) {
auto p = centroid(polygon);
addLabel(params, Label::Type::point, { p, p });
} else {
for (auto& line : polygon) {
for (auto& point : line) {
auto p = glm::vec2(point);
addLabel(params, Label::Type::point, { p });
}
}
}
}
} else if (_feat.geometryType == GeometryType::lines) {
if (_iconText) {
for (auto& line : _feat.lines) {
for (auto& point : line) {
auto p = glm::vec2(point);
addLabel(params, Label::Type::point, { p });
}
}
} else {
addLineTextLabels(_feat, params);
}
}
if (numLabels == m_labels.size()) {
// Drop quads when no label was added
m_quads.resize(quadsStart);
}
return true;
}
float Correlator::angerror(float a) {
V2d ctr=centroid();
float error=0;
for (int i=1;i<=xs.len;i++) {
V2d v=V2d(xs.num(i),ys.num(i))-ctr;
error+=sqrt(square(v.x*sin(a)+v.y*cos(a)))*ws.num(i);
}
return error/totalweight();
}
void GeospatialBoundingBox::load(int index, std::string *base_file_name) {
if (base_file_name) {
file_name = (*base_file_name);
}
else {
file_name = _format("geo_bbox_%d.xyz.info",index);
}
FILE *file_ptr = fopen(file_name.c_str(), "r");
fscanf(file_ptr,"centroid: %f %f %f\n",¢roid(0), ¢roid(1), ¢roid(2));
fscanf(file_ptr,"resolution: %f %f %f\n",&resolution(0), &resolution(1), &resolution(2));
fscanf(file_ptr,"min_pt: %f %f %f\n",&min_pt(0), &min_pt(1), &min_pt(2));
fscanf(file_ptr,"max_pt: %f %f %f\n",&max_pt(0), &max_pt(1), &max_pt(2));
fscanf(file_ptr,"points: %d\n", &number_of_points);
fclose(file_ptr);
return;
}
void
GrainTracker::updateFieldInfo()
{
for (unsigned int map_num = 0; map_num < _maps_size; ++map_num)
_feature_maps[map_num].clear();
_halo_ids.clear();
std::map<unsigned int, Real> tmp_map;
MeshBase & mesh = _mesh.getMesh();
for (std::map<unsigned int, MooseSharedPointer<FeatureData> >::iterator grain_it = _unique_grains.begin(); grain_it != _unique_grains.end(); ++grain_it)
{
unsigned int curr_var = grain_it->second->_var_idx;
unsigned int map_idx = (_single_map_mode || _condense_map_info) ? 0 : curr_var;
if (grain_it->second->_status == INACTIVE)
continue;
for (std::set<dof_id_type>::iterator entity_it = grain_it->second->_local_ids.begin();
entity_it != grain_it->second->_local_ids.end(); ++entity_it)
{
// Highest variable value at this entity wins
Real entity_value = -std::numeric_limits<Real>::max();
if (_is_elemental)
{
const Elem * elem = mesh.elem(*entity_it);
std::vector<Point> centroid(1, elem->centroid());
_fe_problem.reinitElemPhys(elem, centroid, 0);
entity_value = _vars[curr_var]->sln()[0];
}
else
{
Node & node = mesh.node(*entity_it);
entity_value = _vars[curr_var]->getNodalValue(node);
}
if (tmp_map.find(*entity_it) == tmp_map.end() || entity_value > tmp_map[*entity_it])
{
// TODO: Add an option for EBSD Reader
_feature_maps[map_idx][*entity_it] = _ebsd_reader ? _unique_grain_to_ebsd_num[grain_it->first] : grain_it->first;
if (_var_index_mode)
_var_index_maps[map_idx][*entity_it] = grain_it->second->_var_idx;
tmp_map[*entity_it] = entity_value;
}
}
for (std::set<dof_id_type>::const_iterator entity_it = grain_it->second->_halo_ids.begin();
entity_it != grain_it->second->_halo_ids.end(); ++entity_it)
_halo_ids[*entity_it] = grain_it->second->_var_idx;
for (std::set<dof_id_type>::const_iterator entity_it = grain_it->second->_ghosted_ids.begin();
entity_it != grain_it->second->_ghosted_ids.end(); ++entity_it)
_ghosted_entity_ids[*entity_it] = grain_it->first;
}
}
inline Point return_centroid(Geometry const& geometry, Strategy const& strategy)
{
//BOOST_CONCEPT_ASSERT( (geometry::concept::CentroidStrategy<Strategy>) );
concept::check_concepts_and_equal_dimensions<Point, Geometry const>();
Point c;
centroid(geometry, c, strategy);
return c;
}
Line2d line() {
// Region::list=NULL;
Blob::remakelist();
float a=angle();
// printf("%f\n",a);
V2d v=V2d(sin(a+pi/2.0),cos(a+pi/2.0))*(float)sqrt(Region::list->len);
V2d c=centroid();
// printf("Made proper line length %f List %i\n",v.mod(),Region::list->len);
return Line2d(c-v,c+v);
}
dof_id_type
PartitionerWeightTest::computeSideWeight(Elem & elem, unsigned int side)
{
auto side_elem = elem.build_side_ptr(side);
auto centroid = side_elem->centroid();
if (centroid(0) == 0.5)
return 20;
else
return 1;
}
