int
main() {
const size_t N = 1000;
std::list<Point_d> points;
points.push_back(Point_d(0,0));
Tree tree;
Random_points_iterator rpg;
//inserting N points one-by-one, thus the use of "reserve" is recommended, and we use it
tree.reserve(N);
//to test wether the tree.capacity() function works properly.
if( tree.capacity() < N)
{
std::cerr << "ERROR: Something is wrong with allocating points memory." << std::endl;
return -1;
}
for(size_t i = 0; i < N; i++)
{
tree.insert(*rpg++);
}
std::list<Point_d> result;
// define range query
Point_d p(0.2, 0.2);
Point_d q(0.7, 0.7);
// Searching an exact range
// using default value 0.0 for epsilon fuzziness parameter
// Fuzzy_box exact_range(r); replaced by
Fuzzy_iso_box exact_range(p,q);
std::cout << "tree.search(..)" << std::endl;
//tree.report_all_points(std::ostream_iterator<Point>(std::cout,"\n"));
tree.search( std::back_inserter( result ), exact_range);
std::cout << "The points in the box [0.2,0.7]x[0.2,0.7] are: " << std::endl;
std::copy (result.begin(), result.end(), std::ostream_iterator<Point_d>(std::cout,"\n") );
std::cout << std::endl;
result.clear();
// Searching a fuzzy range
// using value 0.1 for fuzziness paramater
Fuzzy_iso_box approximate_range(p, q, 0.1);
tree.search(std::back_inserter( result ), approximate_range);
std::cout << "The points in the fuzzy box [<0.1-0.3>,<0.6-0.9>]x[<0.1-0.3>,<0.6-0.9>] are: "
<< std::endl;
std::copy (result.begin(), result.end(), std::ostream_iterator<Point_d>(std::cout,"\n") );
std::cout << std::endl;
return 0;
}
int main() {
const int N=1000;
// generator for random data points in the square ( (-1,-1), (1,1) )
Random rnd(0);
Random_points_iterator rpit(1.0, rnd);
// Insert also the N points in the tree
Tree tree(N_Random_points_iterator(rpit,0),
N_Random_points_iterator(N));
// define exact circular range query
Point center(0.2, 0.2);
Fuzzy_circle exact_range(center, 0.2);
std::list<Point> result;
tree.search(std::back_inserter( result ), exact_range);
std::cout << "\nPoints in cirle with center " << center << " and radius 0.2" << std::endl;
std::list<Point>::iterator it;
for (it=result.begin(); (it != result.end()); ++it) {
std::cout << *it << std::endl;
}
result.clear();
// approximate range searching using value 0.1 for fuzziness parameter
Fuzzy_circle approximate_range(center, 0.2, 0.1);
tree.search(std::back_inserter( result ), approximate_range);
std::cout << "\n\nPoints in cirle with center " << center << " and fuzzy radius [0.1,0.3]" << std::endl;
for (it=result.begin(); (it != result.end()); ++it) {
std::cout << *it << std::endl;
}
std::cout << "\ndone" << std::endl;
return 0;
}
int
main() {
const int N = 1000;
std::list<Point_d> points;
points.push_back(Point_d(0,0));
Tree tree;
Random_points_iterator rpg;
for(int i = 0; i < N; i++){
tree.insert(*rpg++);
}
std::list<Point_d> result;
// define range query
Point_d p(0.2, 0.2);
Point_d q(0.7, 0.7);
// Searching an exact range
// using default value 0.0 for epsilon fuzziness paramater
Fuzzy_iso_box exact_range(p,q);
tree.search( std::back_inserter( result ), exact_range);
std::cout << "The points in the box [0.2, 0.7]^2 are: " << std::endl;
std::copy (result.begin(), result.end(), std::ostream_iterator<Point_d>(std::cout,"\n") );
std::cout << std::endl;
result.clear();
// Searching a fuzzy range
// using value 0.1 for fuzziness paramater
Fuzzy_iso_box approximate_range(p, q, 0.1);
tree.search(std::back_inserter( result ), approximate_range);
std::cout << "The points in the fuzzy box [[0.1, 0.3], [0.6, 0.9]]^2 are: " << std::endl;
std::copy (result.begin(), result.end(), std::ostream_iterator<Point_d>(std::cout,"\n") );
std::cout << std::endl;
return 0;
}
