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scvt-mpi.cpp
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scvt-mpi.cpp
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//**************************************************
// scvt-mpi.cpp
//
// Purpose:
//
// mpi-scvt.cpp is used to compute spherical centroidal Voronoi tessellations using a modified Lloyd's algorithm
// in parallel.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 02 February 2012
//
// Author:
//
// Doug Jacobsen
// Geoff Womeldorff
//
//**************************************************
// Enable _DEBUG for output of routines. Useful for debugging any issues in mpi.
// All messages from turning this flag on are written to cerr
// #define _DEBUG
#include <stdlib.h>
#include <inttypes.h>
#include <iostream>
#include <fstream>
#include <tr1/unordered_set>
#include <vector>
#include <math.h>
#include <assert.h>
#ifdef USE_NETCDF
#include <netcdfcpp.h>
#endif
#include <boost/mpi.hpp>
#include <boost/serialization/vector.hpp>
#include "Triangle/triangle.h"
#include "triangulation.h"
#define SEED 3729
// Uses boost mpi to make use of serialization routines for packing and unpacking of classes
namespace mpi = boost::mpi;
typedef boost::optional<mpi::status> optional;
// Uses namespaces std and tr1. tr1 is used for unordered_set which gives unique triangulation at the end.
using namespace std;
using namespace tr1;
class bpt {/*{{{*/
public:
struct bisect_hasher {/*{{{*/
size_t operator()(const pair<int,int> &p) const {
uint32_t hash;
size_t i, key[2] = { (size_t)p.first, (size_t)p.second};
for(hash = i = 0; i < sizeof(key); ++i) {
hash += ((uint8_t *)key)[i];
hash += (hash << 10);
hash ^= (hash >> 6);
}
hash += (hash << 3);
hash ^= (hash >> 11);
hash += (hash << 15);
return hash;
}
};/*}}}*/
};/*}}}*/
class region{/*{{{*/
private:
friend class boost::serialization::access;
template<class Archive>
void serialize(Archive & ar, const unsigned int version)
{
ar & center;
ar & radius;
ar & input_radius;
ar & triangles;
ar & neighbors;
ar & neighbors1;
ar & neighbors2;
ar & boundary_points;
ar & loop_start;
ar & loop_stop;
}
public:
pnt center;
double radius;
double input_radius;
vector<pnt> points;
vector<tri> triangles;
vector<int> neighbors; // First Level of Neighbors
vector<int> neighbors1; // First Level of Neighbors + Self
vector<int> neighbors2; // Second Level of Neighbors + First Level of Neighbors + Self
vector<pnt> boundary_points;
vector<int> loop_start; // beginning point in loop
vector<int> loop_stop; // ending point in loop
};/*}}}*/
struct int_hasher {/*{{{*/
size_t operator()(const int v) const { return v; }
};/*}}}*/
class mpi_timer{/*{{{*/
public:
mpi::timer my_timer;
double total_time;
int num_calls;
string name;
mpi_timer() : total_time(0), num_calls(0), name("Default") { };
mpi_timer(string in_name) : total_time(0), num_calls(0), name(in_name) { };
mpi_timer operator+(const mpi_timer &t) const {/*{{{*/
mpi_timer nt;
nt.init("Sum");
nt.num_calls = t.num_calls;
nt.total_time = t.total_time + total_time;
return nt;
}/*}}}*/
void init(string in_name){/*{{{*/
total_time = 0.0;
num_calls = 0;
name = in_name;
}/*}}}*/
void init(){/*{{{*/
total_time = 0;
num_calls = 0;
}/*}}}*/
void start(){/*{{{*/
my_timer.restart();
}/*}}}*/
void stop(){/*{{{*/
total_time += my_timer.elapsed();
num_calls++;
}/*}}}*/
};/*}}}*/
inline std::ostream & operator<<(std::ostream &os, const mpi_timer &t){/*{{{*/
if(t.num_calls > 0){
os << t.name << ": " << t.total_time*1e3 << " (ms), " << (t.total_time/t.num_calls)*1e3 << " (ms). Called " << t.num_calls << " times." << endl;
} else {
os << t.name << ": Never called. Time = 0.0 (ms)" << endl;
}
return os;
}/*}}}*/
// Triangles input flags
string flags_str = "QBPIOYYiz";
char * flags;
//Processor information and global communicator
const int master = 0;
int id, num_procs;
mpi::communicator world;
// Message tags for sending and receiving non-blocking messages
enum {msg_points, msg_tri_print , msg_restart, msg_ave, msg_max, msg_l1};
// Sort types
enum {sort_dot, sort_vor};
// Global constants
int points_begin = 0;
int num_pts = 162;
int num_bdry = 0;
int max_it = 100;
int max_it_no_proj = 100;
int max_it_scale_alpha = 0;
int div_levs = 1;
int num_bisections = 0;
int conv = 0;
int restart = 0;
int sort_method = sort_dot;
double min_bdry_angle = 1.0;
double eps = 1.0E-10;
double proj_alpha;
double max_resolution = 4.0;
//gw: restart mode type and variable (move to a header?)
enum restart_mode_type { RESTART_OVERWRITE, RESTART_RETAIN };
restart_mode_type restart_mode = RESTART_OVERWRITE;
enum fileio_mode_type { FILEIO_TXT, FILEIO_NETCDF, FILEIO_BOTH };
fileio_mode_type fileio_mode = FILEIO_TXT;
//Define variable for quadrature rules
int quad_rule = 2;
string quad_names[6] = {"Centroid Rule", "Vertex Rule", "Midpoint Rule", "7 Point Rule", "13 Point Rule", "19 Point Rule"};
double *wq, *q;
double wq7[7], q7[4];
double wq13[13], q13[8];
double wq19[19], q19[12];
//Define timers for performance studies
const int num_timers = 8;
const int num_global_timers = 4;
mpi_timer my_timers[num_timers];
mpi_timer global_timers[num_global_timers];
string names[num_timers] = {"Total", "Iteration", "Triangulation", "Integration", "Metrics", "Communication", "Convergence Check", "Sort"};
string global_names[num_global_timers] = {"Global Time", "Final Gather", "Final Triangulation", "Final Bisection"};
//Each processor has a copy of all points, and has a n_points (new points) vector for which points it should update.
vector<pnt> points;
vector<pnt> n_points;
vector<pnt>::iterator point_itr;
vector<pnt> boundary_points;
vector<pnt>::iterator boundary_itr;
vector<int> loop_start;
vector<int> loop_stop;
//Each processor has a list of all regions, as well as it's own regions (only one per processor currently)
vector<region> my_regions;
vector<region> regions;
vector<region>::iterator region_itr;
vector<tri> all_triangles;
//Region neighbors hold the connectivity of neighbors, for communication purposes.
vector<unordered_set<int, int_hasher> > region_neighbors;
unordered_set<int, int_hasher>::iterator region_neigh_itr;
//Iterators for neighbors and triangles.
vector<int>::iterator neighbor_itr;
vector<tri>::iterator tri_itr;
/* ***** Setup Routines *****{{{*/
void readParamsFile();
void buildRegions();
void printRegions();
void readBoundaries();
/*}}}*/
/* ***** Bisect Edges Routines *****{{{*/
void bisectEdges(int end);
void bisectTriangulation(int output);
/*}}}*/
/* ***** Point Init Routines ***** {{{*/
void readPoints();
void makeMCPoints(int n);
void makeGeneralizedSpiralPoints(int n);
void makeFibonacciGridPoints(int n);
/*}}}*/
/* ***** Integration Routines ***** {{{*/
void divideIntegrate(const int levs, const pnt &A, const pnt &B, const pnt &C, pnt &Top, double &bot);
void init_quadrature();
void quadrature(const pnt &A, const pnt &B, const pnt &C, pnt &top, double &bot);
void quadratureCR(const pnt &A, const pnt &B, const pnt &C, pnt &top, double &bot);
void quadratureVR(const pnt &A, const pnt &B, const pnt &C, pnt &top, double &bot);
void quadratureMP(const pnt &A, const pnt &B, const pnt &C, pnt &top, double &bot);
void quadrature7P(const pnt &A, const pnt &B, const pnt &C, pnt &top, double &bot);
void quadrature13P(const pnt &A, const pnt &B, const pnt &C, pnt &top, double &bot);
void quadrature19P(const pnt &A, const pnt &B, const pnt &C, pnt &top, double &bot);
/*}}}*/
/* ***** Generic Region Routines *****{{{ */
void sortPoints(int sort_type, vector<region> ®ion_vec);
void sortBoundaryPoints(vector<region> ®ion_vec);
void triangulateRegions(vector<region> ®ion_vec);
void integrateRegions(vector<region> ®ion_vec);
void computeMetrics(double &ave, double &max, double &l1);
void clearRegions(vector<region> ®ion_vec);
void makeFinalTriangulations(vector<region> ®ion_vec);
void projectToBoundary(vector<region> ®ion_vec);
/*}}}*/
/* ***** Specific Region Routines ***** {{{ */
void printAllFinalTriangulation();
void printMyFinalTriangulation();
void storeMyFinalTriangulation();
/*}}}*/
/* ***** Communication Routines ***** {{{*/
void transferUpdatedPoints();
void gatherAllUpdatedPoints();
/*}}}*/
/* ***** Routines for Points *****{{{*/
void writePointsAsRestart(const int it, const restart_mode_type restart_mode, const fileio_mode_type fileio_mode);
#ifdef USE_NETCDF
int writeRestartFileOverwriteNC( const int it, const vector<pnt> &points );
int writeRestartFileRetainNC( const int it, const vector<pnt> &points );
#endif
int writeRestartFileOverwriteTXT( const int it );
int writeRestartFileRetainTXT( const int it );
double density(const pnt &p);
double ellipse_density(const pnt &p, double lat_c, double lon_c, double lat_width, double lon_width);
/*}}}*/
int main(int argc, char **argv){
int bisection;
int it, i;
int stop, do_proj;
int ave_points, my_points;
mpi::request *ave_comms, *max_comms, *l1_comms;
double *my_ave, *my_max, *my_l1;
double glob_ave, glob_max, glob_l1;
optional ave_opti, max_opti, l1_opti;
pnt p;
flags = new char[flags_str.size()+1];
strcpy(flags,flags_str.c_str());
for(i = 0; i < num_global_timers; i++){
global_timers[i] = mpi_timer(global_names[i]);
}
global_timers[0].start(); // Global Time Timer
mpi::environment env(argc, argv);
id = world.rank();
num_procs = world.size();
my_ave = new double[num_procs];
my_max = new double[num_procs];
my_l1 = new double[num_procs];
ave_comms = new mpi::request[num_procs];
max_comms = new mpi::request[num_procs];
l1_comms = new mpi::request[num_procs];
// Read in parameters and regions. Setup initial point set
if(id == master){
readParamsFile();
cout << "Using " << quad_names[quad_rule] << " for integration." << endl;
cout << "Writing restart files every " << restart << " steps." << endl;
if (points_begin == 0){
cout <<"Points being read in from SaveVertices." << endl;
readPoints();
} else if(points_begin == 1){
cout << "Points being created with Monte Carlo." << endl;
makeMCPoints(num_pts);
} else if(points_begin == 2){
cout << "Points being created with Generalized Spiral." << endl;
makeGeneralizedSpiralPoints(num_pts);
} else if(points_begin == 3){
cout << "Points being created with Fibonacci Grid." << endl;
makeFibonacciGridPoints(num_pts);
}
readBoundaries();
buildRegions();
ofstream pts_out("point_initial.dat");
for(point_itr = points.begin(); point_itr != points.end(); ++point_itr){
pts_out << (*point_itr) << endl;
}
pts_out.close();
}
// Each processor needs to setup the quadrature rules.
init_quadrature();
// Broadcast parameters, regions, and initial point set to each processor.
mpi::broadcast(world,num_pts,master);
mpi::broadcast(world,max_it,master);
mpi::broadcast(world,restart,master);
mpi::broadcast(world,sort_method,master);
mpi::broadcast(world,max_it_no_proj,master);
mpi::broadcast(world,max_it_scale_alpha,master);
mpi::broadcast(world,num_bisections,master);
mpi::broadcast(world,div_levs,master);
mpi::broadcast(world,conv,master);
mpi::broadcast(world,eps,master);
mpi::broadcast(world,quad_rule,master);
mpi::broadcast(world,regions,master);
mpi::broadcast(world,points,master);
mpi::broadcast(world,boundary_points,master);
//printRegions();
// Setup timers
for(i = 0; i < num_timers; i++){
my_timers[i] = mpi_timer(names[i]);
}
// Each processor clears my_regions (to make sure it's empty) and add it's own region into it's list.
// If there is only 1 processor, that processor takes all regions, which is a serial computation.
my_regions.clear();
if(num_procs > 1){
my_regions.push_back(regions.at(id));
if(num_procs != regions.size()){
cout << "Region error ---- Region size must equal number of processors." << endl;
cout << " Or you must only use 1 processor" << endl;
assert(num_procs == regions.size());
}
} else {
for(region_itr = regions.begin(); region_itr != regions.end(); ++region_itr){
my_regions.push_back((*region_itr));
}
}
sortBoundaryPoints(my_regions);
// Loop over bisections
for(bisection = 0; bisection <= num_bisections; bisection++){
// Clear loop timers
for(i = 0; i < num_timers; i++){
my_timers[i].init();
}
// Start loop timer
my_timers[0].start();
stop = 0;
do_proj = 1;
for(it = 0; it < max_it && !stop; it++){
glob_ave = 0.0;
glob_max = 0.0;
glob_l1 = 0.0;
for(i = 0; i < num_procs; i++){
my_ave[i] = 0.0;
my_max[i] = 0.0;
my_l1[i] = 0.0;
}
my_timers[1].start(); // Iteration Timer
clearRegions(my_regions);
my_timers[2].start(); // Triangulation Timer
my_timers[7].start(); // Sort Timer
sortPoints(sort_method, my_regions);
my_timers[7].stop(); // Sort Timer
triangulateRegions(my_regions);
my_timers[2].stop();
my_timers[3].start(); // Integration Timer
integrateRegions(my_regions);
my_timers[3].stop();
if(it > max_it_no_proj){
proj_alpha = max((double)(it-max_it_no_proj), 0.0)/max((double)max_it_scale_alpha, 1.0);
projectToBoundary(my_regions);
}
my_timers[4].start(); // Metrics Timer
computeMetrics(my_ave[id],my_max[id], my_l1[id]);
// Start non-blocking sends and receives of metrics
if(id == master){
for(i = 1; i < num_procs; i++){
ave_comms[i] = world.irecv(i,msg_ave,my_ave[i]);
max_comms[i] = world.irecv(i,msg_max,my_max[i]);
l1_comms[i] = world.irecv(i,msg_l1,my_l1[i]);
}
} else {
ave_comms[id] = world.isend(master,msg_ave,my_ave[id]);
max_comms[id] = world.isend(master,msg_max,my_max[id]);
l1_comms[id] = world.isend(master,msg_l1,my_l1[id]);
}
my_timers[4].stop();
my_timers[5].start(); // Communication Timer
transferUpdatedPoints();
my_timers[5].stop();
my_timers[6].start();
// Finish metrics sends and receives, check for convergence and broadcast a stop request to all processors.
if(id == master){
glob_ave = my_ave[id];
glob_max = my_max[id];
glob_l1 = my_l1[id];
for(i = 1; i < num_procs; i++){
ave_opti = ave_comms[i].test();
max_opti = max_comms[i].test();
l1_opti = l1_comms[i].test();
if(!ave_opti) ave_comms[i].wait();
if(!max_opti) max_comms[i].wait();
if(!l1_opti) l1_comms[i].wait();
glob_ave += my_ave[i];
glob_max = std::max(glob_max, my_max[i]);
glob_l1 += my_l1[i];
}
glob_ave = sqrt(glob_ave)/points.size();
glob_l1 = glob_l1/points.size();
cout << it << " " << glob_ave << " " << glob_l1 << " " << glob_max << endl;
if(conv == 1 && glob_ave < eps){
cout << "Converged on average movement." << endl;
stop = 1;
} else if(conv == 2 && glob_max < eps){
cout << "Converged on maximum movement." << endl;
stop = 1;
}
}
mpi::broadcast(world,stop,master);
my_timers[6].stop();
my_timers[1].stop();
if(restart > 0 && it > 0){
if(it%restart == 0){
writePointsAsRestart(it, restart_mode, fileio_mode);
}
}
}
// Finish loop timer
my_timers[0].stop();
// Bisect if needed
if(bisection < num_bisections){
bisectTriangulation(0);
} else {
if(id == master){
cout << "No more bisections for convergence" << endl;
}
}
//Print out loop timers
if(id == master){
cout << endl << endl;
for(i = 0; i < num_timers; i++){
cout << my_timers[i];
}
cout << endl;
}
}
//Compute average points per region for diagnostics
ave_points = 0;
my_points = 0;
clearRegions(my_regions);
sortPoints(sort_method, my_regions);
for(region_itr = my_regions.begin(); region_itr != my_regions.end(); ++region_itr){
my_points += (*region_itr).points.size();
}
mpi::reduce(world, my_points, ave_points, std::plus<int>(), master);
ave_points = ave_points / regions.size();
if(id == master){
cout << endl;
cout << "Average points per region: " << ave_points << endl;
cout << endl;
}
global_timers[0].stop();
//Gather all updated points onto master processor, for printing to end_points.dat
global_timers[1].start(); // Global Gather Timer
gatherAllUpdatedPoints();
global_timers[1].stop();
// Compute final triangulation by merging all triangulations from each processor into an
// unordered_set, and then ordering them ccw before printing them out.
// write triangles to triangles.dat
global_timers[2].start(); // Final Triangulation Timer
clearRegions(my_regions);
sortPoints(sort_dot, my_regions);
triangulateRegions(my_regions);
makeFinalTriangulations(my_regions);
printMyFinalTriangulation();
global_timers[2].stop();
if(id == master){
ofstream end_pts("end_points.dat");
ofstream pt_dens("point_density.dat");
ofstream bdry_pts("boundary_points.dat");
for(point_itr = points.begin(); point_itr != points.end(); ++point_itr){
end_pts << (*point_itr) << endl;
pt_dens << density((*point_itr)) << endl;
}
for(boundary_itr = boundary_points.begin(); boundary_itr != boundary_points.end(); boundary_itr++){
bdry_pts << (*boundary_itr) << endl;
}
end_pts.close();
pt_dens.close();
bdry_pts.close();
}
//Bisect all edges of all triangles to give an extra point set at the end, bisected_points.dat
global_timers[3].start(); // Final Bisection Timer
bisectTriangulation(1);
global_timers[3].stop();
//Print out final timers, for global times.
if(id == master){
cout << endl << " ---- Final Timers ---- " << endl;
for(i = 0; i < num_global_timers; i++){
cout << global_timers[i];
}
}
return 0;
}
/* ***** Setup Routines ***** {{{*/
void readParamsFile(){/*{{{*/
//Read in parameters from Params.
//If Params doesn't exist, write out Params with a default set of parameters
string junk;
ifstream params("Params");
int temp_restart_mode;
int temp_fileio_mode;
if(!params){
cout << "Error opening Params file." << endl;
cout << "Writing a default Params file." << endl;
cout << "Exiting, please set up Params, and rerun." << endl;
ofstream pout("Params");
pout << "How do you want the points created? (0 - Read from SaveVertices.dat, 1 - Monte Carlo, 2 - Generalized Spiral, 3 - Fibonacci Grid Points)" << endl;
pout << "0" << endl;
pout << "If you want them generated, how many points do you want?" << endl;
pout << "162" << endl;
pout << "How many iterations do you want to run for, if convergence isn't reached?" << endl;
pout << "1000" << endl;
pout << "How often, in iterations, do you want the point set written to a file? (Longer is better)" << endl << 500 << endl;
pout << "How many iterations do you want to run without projection onto the boundary?" << endl;
pout << "10000" << endl;
pout << "How many iterations do you want with a variable projection distance? (Minimum of 1)" << endl;
pout << "0" << endl;
pout << "How many sub-triangle divisions would you like? (Minimum of 1, Causes every triangle to be divided into 4^n triangles)" << endl;
pout << "1" << endl;
pout << "How many bisections do you want until your final point set? (Each bisection maps n -> 4*n-6)" << endl;
pout << "0" << endl;
pout << "What do you want to check convergence on? (0 - Max Iterations, "
<< "1 - Average Generator Movement, 2 - Maximum Generator Movement)" << endl;
pout << "0" << endl;
pout << "What do you want your convergence criteria to be? (eps = 1E-10)" << endl;
pout << "1E-10" << endl;
pout << "What Quadrature Rule do you want to use? (0 - Centroid, 1 - Vertex, 2 - Midpoint, 3 - 7 Point, 4 - 13 Point, 5 - 19 Point)" << endl;
pout << "2" << endl;
pout << "What sorting method do you want to use? (0 - dot product, 1 - voronoi)" << endl;
pout << "0" << endl;
pout << "What is the maximum allowable distance between boundary points? (Given in km)" << endl;
pout << "4.0" << endl;
pout << "Which format for restart files would you like? (0 - text, 1 - netcdf, 2 - both, 0 will be selected if netcdf is not linked)" << endl;
pout << "0" << endl;
pout << "Would you like one restart file, or a series? (0 - overwrite, 1 - retain, ignored if restart files are disabled above)" << endl;
pout << "0" << endl;
pout.close();
exit(1);
}
getline(params,junk);
params >> points_begin;
params.ignore(10000,'\n');
getline(params,junk);
params >> num_pts;
params.ignore(10000,'\n');
getline(params,junk);
params >> max_it;
params.ignore(10000,'\n');
getline(params,junk);
params >> restart;
params.ignore(10000,'\n');
getline(params,junk);
params >> max_it_no_proj;
params.ignore(10000,'\n');
getline(params,junk);
params >> max_it_scale_alpha;
params.ignore(10000,'\n');
getline(params,junk);
params >> div_levs;
div_levs = std::max(1,div_levs);
params.ignore(10000,'\n');
getline(params,junk);
params >> num_bisections;
params.ignore(10000,'\n');
getline(params,junk);
params >> conv;
params.ignore(10000,'\n');
getline(params,junk);
params >> eps;
params.ignore(10000,'\n');
getline(params,junk);
params >> quad_rule;
params.ignore(10000,'\n');
getline(params,junk);
params >> sort_method;
params.ignore(10000,'\n');
getline(params,junk);
// params >> min_bdry_angle;
params >> max_resolution;
params.ignore(10000,'\n');
getline(params,junk);
params >> temp_fileio_mode;
params.ignore(10000,'\n');
getline(params,junk);
params >> temp_restart_mode;
params.ignore(10000,'\n');
switch (temp_fileio_mode) {
case 0:
fileio_mode = FILEIO_TXT;
break;
case 1:
fileio_mode = FILEIO_NETCDF;
break;
case 2:
fileio_mode = FILEIO_BOTH;
break;
default:
cout << "Restart file format has incorrect value in params file. Should be one of {0,1,2}.";
exit(1);
}
switch (temp_restart_mode) {
case 0:
restart_mode = RESTART_OVERWRITE;
break;
case 1:
restart_mode = RESTART_RETAIN;
break;
default:
cout << "Restart mode (overwrite/retain) has incorrect value in params file. Should be one of {0,1}";
exit(1);
}
// min_bdry_angle = min_bdry_angle * M_PI/180.0;
params.close();
}/*}}}*/
void readBoundaries(){/*{{{*/
int i, j, n_pts;
int count_count, bdry_count, fill_count, bdry_total;
int add_count;
int count_start, count_stop;
int cur_loop_start, cur_loop_length;
int p0_idx, p1_idx;
//pnt p;
//pnt p_b, p_e;
double bdry_lon, bdry_lat;
double dtr = M_PI/180.0;
double point_delta;
double add_spacing;
double denom;
double c0, c1;
double t, omega;
double r_earth = 6371.0; //avg radius in km
// gw: read boundary points file
bdry_count = 0;
ifstream bdry_in("SaveBoundaries");
if(!bdry_in)
return;
while(!bdry_in.eof()){
bdry_in >> bdry_lon >> bdry_lat;
bdry_in.ignore(10000,'\n');
if(bdry_in.good()){
bdry_lon *= dtr;
bdry_lat *= dtr;
pnt p = pntFromLatLon(bdry_lat, bdry_lon);
p.normalize();
p.idx = j;
p.isBdry = 0;
bdry_count++;
boundary_points.push_back(p);
} // end if input good
} // end while not eof
bdry_in.close();
// gw: read loop counts file
count_count = 0;
ifstream count_in("SaveLoopCounts");
if(!count_in)
return;
while(!count_in.eof()){
count_in >> count_start >> count_stop;
count_in.ignore(10000,'\n');
if(count_in.good()){
loop_start.push_back(count_start);
loop_stop.push_back(count_stop);
count_count++;
} // end if input good
} // end while not eof
count_in.close();
// gw: loop over loops
fill_count = 0;
for(int cur_loop = 0; cur_loop < count_count; cur_loop++){
cur_loop_start = loop_start.at(cur_loop) - 1;
cur_loop_length = loop_stop.at(cur_loop) - cur_loop_start;
// gw: loop over point pairs in current loop
for(int cur_pair = 0; cur_pair < cur_loop_length; cur_pair++){
p0_idx = cur_loop_start + cur_pair;
p1_idx = cur_loop_start + (cur_pair+1)%cur_loop_length;
pnt p0 = boundary_points.at(p0_idx);
pnt p1 = boundary_points.at(p1_idx);
point_delta = p1.dotForAngle(p0);
// gw: if distance between pair is greater than allowed amount
// then add some additional points
if ( (point_delta * r_earth) > max_resolution ) {
// gw: figure out how many points to added
add_count = (int)ceil( (point_delta * r_earth) ) / max_resolution;
add_spacing = 1.0 / ((double)add_count + 1);
denom = sin( point_delta );
bdry_lat = p1.getLat() - p0.getLat();
bdry_lon = p1.getLon() - p0.getLon();
// gw: loop for adding point(s)
for(int cur_add = 0; cur_add <= add_count; cur_add++){
/* Slerp - Doesn't work for constant lat, lon curves
// http://en.wikipedia.org/wiki/Slerp
t = add_spacing * ( (double)cur_add + 1 );
c0 = sin( (1.0 - t) * point_delta ) / denom;
c1 = sin( t * point_delta ) / denom;
pnt temp_point = c0 * p0 + c1 * p1; // */
// Linear interpolation, using Lat Lon.
pnt temp_point = pntFromLatLon( p0.getLat() + cur_add * add_spacing * bdry_lat,
p0.getLon() + cur_add * add_spacing * bdry_lon);
temp_point.normalize();
temp_point.idx = bdry_count + fill_count;
boundary_points.push_back(temp_point);
fill_count++;
}
} // end if need to add fill points
} // end loop over point pairs in current loop
} // end loop over loops
cout << "Read in " << bdry_count << " boundary points." << endl;
cout << "Made " << fill_count << " fill points." << endl;
cout << "There are " << boundary_points.size() << " boundary points total." << endl;
num_bdry = boundary_points.size();
}/*}}}*/
void buildRegions(){/*{{{*/
//Read in region centers, and connectivity (triangulation) from files
//RegionList, and RegionTriangulation
//From these, regions are setup to have a center and a radius.
ifstream region_list("RegionList");
ifstream region_connectivity("RegionTriangulation");
unordered_set<int, int_hasher> neighbors1, neighbors2;
unordered_set<int, int_hasher>::iterator neigh_itr;
vector<int>::iterator cur_neigh_itr;
region r;
pnt p;
double loc_radius, max_radius;
double alpha, beta;
int min_connectivity;
int t1, t2, t3;
int i;
alpha = 2.0/3.0;
beta = 4;
#ifdef _DEBUG
cerr << "Building regions " << id << endl;
#endif
if(!region_list){
cout << "Failed to open file RegionList." << endl;
exit(1);
}
// Read in region centers
i = 0;
while(!region_list.eof()){
region_list >> p;
p.idx = i;
i++;
p.normalize();
r.center = p;
r.radius = 0.0;
if(region_list.good()){
regions.push_back(r);
}
}
region_list.close();
region_neighbors.resize(regions.size());
if(!region_connectivity){
cout << "Failed to open file RegionTriangulation" << endl;
exit(1);
}
//Read in region triangulation, and insert into hash table to get unique connectivity.
min_connectivity = regions.size();
while(!region_connectivity.eof()){
region_connectivity >> t1 >> t2 >> t3;
if(t1 < min_connectivity)
min_connectivity = t1;
if(t2 < min_connectivity)
min_connectivity = t2;
if(t3 < min_connectivity)
min_connectivity = t3;
}
region_connectivity.close();
region_connectivity.open("RegionTriangulation");
while(!region_connectivity.eof()){
region_connectivity >> t1 >> t2 >> t3;
t1 = t1 - min_connectivity;
t2 = t2 - min_connectivity;
t3 = t3 - min_connectivity;
if(region_connectivity.good()){
region_neighbors[t1].insert(t2);
region_neighbors[t1].insert(t3);
region_neighbors[t2].insert(t1);
region_neighbors[t2].insert(t3);
region_neighbors[t3].insert(t1);
region_neighbors[t3].insert(t2);
}
}
region_connectivity.close();
//Compute region radii by dotting with each neighbor, and taking the max distance.
for(region_itr = regions.begin(); region_itr != regions.end(); ++region_itr){
max_radius = 0.0;
loc_radius = 0.0;
neighbors1.insert((*region_itr).center.idx);
for(region_neigh_itr = region_neighbors[(*region_itr).center.idx].begin();
region_neigh_itr != region_neighbors[(*region_itr).center.idx].end();
++region_neigh_itr){
loc_radius = (*region_itr).center.dotForAngle(regions[(*region_neigh_itr)].center);
if(loc_radius > max_radius){
max_radius = loc_radius;
}
(*region_itr).neighbors.push_back((*region_neigh_itr));
}
(*region_itr).radius = std::min(max_radius,M_PI);
(*region_itr).input_radius = std::min(max_radius,M_PI);
(*region_itr).points.clear();
(*region_itr).triangles.clear();
(*region_itr).boundary_points.clear();
}
// Build first and second levels of neighbors, for use in more complicated sort method.
for(region_itr = regions.begin(); region_itr != regions.end(); ++region_itr){
neighbors1.clear();
neighbors2.clear();
neighbors1.insert((*region_itr).center.idx);
neighbors2.insert((*region_itr).center.idx);
for(cur_neigh_itr = (*region_itr).neighbors.begin(); cur_neigh_itr != (*region_itr).neighbors.end(); ++cur_neigh_itr){
neighbors1.insert((*cur_neigh_itr));
neighbors2.insert((*cur_neigh_itr));
for(neighbor_itr = regions.at((*cur_neigh_itr)).neighbors.begin();
neighbor_itr != regions.at((*cur_neigh_itr)).neighbors.end(); ++neighbor_itr){
neighbors2.insert((*neighbor_itr));
}
}
for(neigh_itr = neighbors1.begin(); neigh_itr != neighbors1.end(); ++neigh_itr){
(*region_itr).neighbors1.push_back((*neigh_itr));
}
for(neigh_itr = neighbors2.begin(); neigh_itr != neighbors2.end(); ++neigh_itr){
(*region_itr).neighbors2.push_back((*neigh_itr));
}
}
region_neighbors.clear();
}/*}}}*/
void printRegions(){/*{{{*/