Added docs for StaticCohomologyPersistence + ImagePersistence + circular.smooth + minor fixes in adaptor.py
#include <topology/rips.h>
#include <topology/filtration.h>
#include <topology/static-persistence.h>
#include <topology/dynamic-persistence.h>
#include <topology/persistence-diagram.h>
#include <utilities/containers.h> // for BackInsertFunctor
#include <fstream>
#include <boost/archive/binary_oarchive.hpp>
#include <boost/serialization/map.hpp>
// Trivial example of size() points on a line with integer coordinates
struct Distances
{
typedef int IndexType;
typedef double DistanceType;
DistanceType operator()(IndexType a, IndexType b) const { return std::abs(a - b); }
size_t size() const { return 2000; }
IndexType begin() const { return 0; }
IndexType end() const { return size(); }
};
//typedef Rips<ExplicitDistances<Distances> > Generator;
typedef Rips<Distances> Generator;
typedef Generator::Simplex Smplx;
typedef Filtration<Smplx> Fltr;
typedef StaticPersistence<> Persistence;
// typedef DynamicPersistenceChains<> Persistence;
typedef PersistenceDiagram<> PDgm;
int main(int argc, char* argv[])
{
#ifdef LOGGING
rlog::RLogInit(argc, argv);
stdoutLog.subscribeTo( RLOG_CHANNEL("error") );
stdoutLog.subscribeTo( RLOG_CHANNEL("info") );
//stdoutLog.subscribeTo( RLOG_CHANNEL("rips/info") );
//stdoutLog.subscribeTo( RLOG_CHANNEL("rips/debug") );
#endif
Distances distances;
// Storing ExplicitDistances speeds up the computation (at the price of memory)
//ExplicitDistances<Distances> explicit_distances(distances);
Generator rips(distances);
Generator::Evaluator size(distances);
Fltr f;
// Generate 2-skeleton of the Rips complex for epsilon = 50
rips.generate(2, 10, make_push_back_functor(f));
rInfo("Generated complex of size: %d", f.size());
// Generate filtration with respect to distance and compute its persistence
f.sort(Generator::Comparison(distances));
Persistence p(f);
p.pair_simplices();
rInfo("Simplices paired");
Persistence::SimplexMap<Fltr> m = p.make_simplex_map(f);
// Record the persistence intervals in the persistence diagrams
std::map<Dimension, PDgm> dgms;
init_diagrams(dgms, p.begin(), p.end(),
evaluate_through_map(m, size),
evaluate_through_map(m, Smplx::DimensionExtractor()));
// Serialize the diagrams to a file
std::ofstream ofs("rips-diagrams");
boost::archive::binary_oarchive oa(ofs);
oa << dgms;
// Output cycles
for (Persistence::iterator cur = p.begin(); cur != p.end(); ++cur)
{
const Persistence::Cycle& cycle = cur->cycle;
if (!cur->sign()) // only negative simplices have non-empty cycles
{
Persistence::OrderIndex birth = cur->pair; // the cycle that cur killed was born when we added birth (another simplex)
const Smplx& b = m[birth];
const Smplx& d = m[cur];
if (b.dimension() != 1) continue;
std::cout << "Pair: (" << size(b) << ", " << size(d) << ")" << std::endl;
} else if (cur->unpaired()) // positive could be unpaired
{
const Smplx& b = m[cur];
if (b.dimension() != 1) continue;
std::cout << "Unpaired birth: " << size(b) << std::endl;
// cycle = cur->chain;
}
// Iterate over the cycle
for (Persistence::Cycle::const_iterator si = cycle.begin(); si != cycle.end(); ++si)
{
const Smplx& s = m[*si];
//std::cout << s.dimension() << std::endl;
const Smplx::VertexContainer& vertices = s.vertices(); // std::vector<Vertex> where Vertex = Distances::IndexType
AssertMsg(vertices.size() == s.dimension() + 1, "dimension of a simplex is one less than the number of its vertices");
std::cout << vertices[0] << " " << vertices[1] << std::endl;
}
}
}