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-rw-r--r--src/Simplex_tree/include/gudhi/Simplex_tree.h113
-rw-r--r--src/python/gudhi/simplex_tree.pxd2
-rw-r--r--src/python/gudhi/simplex_tree.pyx18
-rwxr-xr-xsrc/python/test/test_simplex_tree.py86
4 files changed, 215 insertions, 4 deletions
diff --git a/src/Simplex_tree/include/gudhi/Simplex_tree.h b/src/Simplex_tree/include/gudhi/Simplex_tree.h
index 76608008..42cf4246 100644
--- a/src/Simplex_tree/include/gudhi/Simplex_tree.h
+++ b/src/Simplex_tree/include/gudhi/Simplex_tree.h
@@ -125,6 +125,8 @@ class Simplex_tree {
private:
typedef typename Dictionary::iterator Dictionary_it;
typedef typename Dictionary_it::value_type Dit_value_t;
+ double minval_;
+ double maxval_;
struct return_first {
Vertex_handle operator()(const Dit_value_t& p_sh) const {
@@ -1465,6 +1467,117 @@ class Simplex_tree {
}
}
+ /** \brief Retrieve good values for extended persistence, and separate the
+ * diagrams into the ordinary, relative, extended+ and extended- subdiagrams.
+ * Need extend_filtration to be called first!
+ * @param[in] dgm Persistence diagram obtained after calling this->extend_filtration
+ * and this->get_persistence.
+ * @return A vector of four persistence diagrams. The first one is Ordinary, the
+ * second one is Relative, the third one is Extended+ and the fourth one is Extended-.
+ */
+ std::vector<std::vector<std::pair<int, std::pair<double, double>>>> compute_extended_persistence_subdiagrams(const std::vector<std::pair<int, std::pair<double, double>>>& dgm){
+ std::vector<std::vector<std::pair<int, std::pair<double, double>>>> new_dgm(4);
+ double x, y;
+ for(unsigned int i = 0; i < dgm.size(); i++){
+ int h = dgm[i].first;
+ double px = dgm[i].second.first;
+ double py = dgm[i].second.second;
+ if(std::isinf(py)) continue;
+ else{
+ if ((px <= -1) & (py <= -1)){
+ x = minval_ + (maxval_-minval_)*(px + 2);
+ y = minval_ + (maxval_-minval_)*(py + 2);
+ new_dgm[0].push_back(std::make_pair(h, std::make_pair(x,y)));
+ }
+ if ((px >= 1) & (py >= 1)){
+ x = minval_ - (maxval_-minval_)*(px - 2);
+ y = minval_ - (maxval_-minval_)*(py - 2);
+ new_dgm[1].push_back(std::make_pair(h, std::make_pair(x,y)));
+ }
+ if ((px <= -1) & (py >= 1)){
+ x = minval_ + (maxval_-minval_)*(px + 2);
+ y = minval_ - (maxval_-minval_)*(py - 2);
+ if (x <= y){
+ new_dgm[2].push_back(std::make_pair(h, std::make_pair(x,y)));
+ }
+ else{
+ new_dgm[3].push_back(std::make_pair(h, std::make_pair(x,y)));
+ }
+ }
+ }
+ }
+ return new_dgm;
+ }
+
+ /** \brief Extend filtration for computing extended persistence.
+ * This function only uses the filtration values at the 0-dimensional simplices,
+ * and computes the extended persistence diagram induced by the lower-star filtration
+ * computed with these values. Note that after calling this function, the filtration
+ * values are actually modified. The function compute_extended_persistence_subdiagrams
+ * retrieves the original values and separates the extended persistence diagram points
+ * w.r.t. their types (Ord, Rel, Ext+, Ext-) and should always be called after
+ * computing the persistent homology of the extended simplicial complex.
+ */
+ void extend_filtration() {
+
+ // Compute maximum and minimum of filtration values
+ int maxvert = -std::numeric_limits<int>::infinity();
+ std::vector<double> filt;
+ for (auto sh : this->complex_simplex_range()) {
+ if (this->dimension(sh) == 0){
+ filt.push_back(this->filtration(sh));
+ maxvert = std::max(*this->simplex_vertex_range(sh).begin(), maxvert);
+ }
+ }
+ minval_ = *std::min_element(filt.begin(), filt.end());
+ maxval_ = *std::max_element(filt.begin(), filt.end());
+ maxvert += 1;
+
+ // Compute vectors of integers corresponding to the Simplex handles
+ std::vector<std::vector<int> > splxs;
+ for (auto sh : this->complex_simplex_range()) {
+ std::vector<int> vr;
+ for (auto vh : this->simplex_vertex_range(sh)){
+ vr.push_back(vh);
+ }
+ splxs.push_back(vr);
+ }
+
+ // Add point for coning the simplicial complex
+ int count = this->num_simplices();
+ std::vector<int> cone;
+ cone.push_back(maxvert);
+ auto ins = this->insert_simplex(cone, -3);
+ this->assign_key(ins.first, count);
+ count++;
+
+ // For each simplex
+ for (auto vr : splxs){
+ // Create cone on simplex
+ auto sh = this->find(vr); vr.push_back(maxvert);
+ if (this->dimension(sh) == 0){
+ // Assign ascending value between -2 and -1 to vertex
+ double v = this->filtration(sh);
+ this->assign_filtration(sh, -2 + (v-minval_)/(maxval_-minval_));
+ // Assign descending value between 1 and 2 to cone on vertex
+ auto ins = this->insert_simplex(vr, 2 - (v-minval_)/(maxval_-minval_));
+ this->assign_key(ins.first, count);
+ }
+ else{
+ // Assign value -3 to simplex and cone on simplex
+ this->assign_filtration(sh, -3);
+ auto ins = this->insert_simplex(vr, -3);
+ this->assign_key(ins.first, count);
+ }
+ count++;
+ }
+
+ this->make_filtration_non_decreasing();
+ this->initialize_filtration();
+
+ }
+
+
private:
Vertex_handle null_vertex_;
/** \brief Total number of simplices in the complex, without the empty simplex.*/
diff --git a/src/python/gudhi/simplex_tree.pxd b/src/python/gudhi/simplex_tree.pxd
index 96d14079..7aa16926 100644
--- a/src/python/gudhi/simplex_tree.pxd
+++ b/src/python/gudhi/simplex_tree.pxd
@@ -43,6 +43,8 @@ cdef extern from "Simplex_tree_interface.h" namespace "Gudhi":
void remove_maximal_simplex(vector[int] simplex)
bool prune_above_filtration(double filtration)
bool make_filtration_non_decreasing()
+ void extend_filtration()
+ vector[vector[pair[int, pair[double, double]]]] compute_extended_persistence_subdiagrams(vector[pair[int, pair[double, double]]])
cdef extern from "Persistent_cohomology_interface.h" namespace "Gudhi":
cdef cppclass Simplex_tree_persistence_interface "Gudhi::Persistent_cohomology_interface<Gudhi::Simplex_tree<Gudhi::Simplex_tree_options_full_featured>>":
diff --git a/src/python/gudhi/simplex_tree.pyx b/src/python/gudhi/simplex_tree.pyx
index b18627c4..e429e28a 100644
--- a/src/python/gudhi/simplex_tree.pyx
+++ b/src/python/gudhi/simplex_tree.pyx
@@ -386,6 +386,24 @@ cdef class SimplexTree:
"""
return self.get_ptr().make_filtration_non_decreasing()
+ def extend_filtration(self):
+ """ Extend filtration for computing extended persistence. This function only uses the filtration values at the 0-dimensional simplices, and computes the extended persistence diagram induced by the lower-star filtration computed with these values. Note that after calling this function, the filtration values are actually modified. The function :func:`compute_extended_persistence_subdiagrams()<gudhi.SimplexTree.compute_extended_persistence_subdiagrams>` retrieves the original values and separates the extended persistence diagram points w.r.t. their types (Ord, Rel, Ext+, Ext-) and should always be called after computing the persistent homology of the extended simplicial complex.
+ """
+ return self.get_ptr().extend_filtration()
+
+ def compute_extended_persistence_subdiagrams(self, dgm):
+ """This function retrieves good values for extended persistence, and separate the diagrams into the ordinary, relative, extended+ and extended- subdiagrams.
+
+ :param dgm: Persistence diagram obtained after calling :func:`extend_filtration()<gudhi.SimplexTree.extend_filtration>` and :func:`persistence()<gudhi.SimplexTree.persistence>`.
+ :returns: A vector of four persistence diagrams. The first one is Ordinary, the second one is Relative, the third one is Extended+ and the fourth one is Extended-.
+
+ .. note::
+
+ This function should be called only after calling :func:`extend_filtration()<gudhi.SimplexTree.extend_filtration>` and :func:`persistence()<gudhi.SimplexTree.persistence>`.
+ """
+ return self.get_ptr().compute_extended_persistence_subdiagrams(dgm)
+
+
def persistence(self, homology_coeff_field=11, min_persistence=0, persistence_dim_max = False):
"""This function returns the persistence of the simplicial complex.
diff --git a/src/python/test/test_simplex_tree.py b/src/python/test/test_simplex_tree.py
index 1822c43b..7e3d843e 100755
--- a/src/python/test/test_simplex_tree.py
+++ b/src/python/test/test_simplex_tree.py
@@ -244,7 +244,85 @@ def test_make_filtration_non_decreasing():
assert st.filtration([0, 1, 6]) == 1.0
assert st.filtration([0, 1]) == 1.0
assert st.filtration([0]) == 1.0
- assert st.filtration([1]) == 1.0
- assert st.filtration([3, 4, 5]) == 2.0
- assert st.filtration([3, 4]) == 2.0
- assert st.filtration([4, 5]) == 2.0
+
+def test_extend_filtration():
+
+ # Inserted simplex:
+ # 5 4
+ # o o
+ # / \ /
+ # o o
+ # /2\ /3
+ # o o
+ # 1 0
+
+ st = SimplexTree()
+ st.insert([0,2])
+ st.insert([1,2])
+ st.insert([0,3])
+ st.insert([2,5])
+ st.insert([3,4])
+ st.insert([3,5])
+ st.assign_filtration([0], 1.)
+ st.assign_filtration([1], 2.)
+ st.assign_filtration([2], 3.)
+ st.assign_filtration([3], 4.)
+ st.assign_filtration([4], 5.)
+ st.assign_filtration([5], 6.)
+
+ assert st.get_filtration() == [
+ ([0, 2], 0.0),
+ ([1, 2], 0.0),
+ ([0, 3], 0.0),
+ ([3, 4], 0.0),
+ ([2, 5], 0.0),
+ ([3, 5], 0.0),
+ ([0], 1.0),
+ ([1], 2.0),
+ ([2], 3.0),
+ ([3], 4.0),
+ ([4], 5.0),
+ ([5], 6.0)
+ ]
+
+
+ st.extend_filtration()
+
+ assert st.get_filtration() == [
+ ([6], -3.0),
+ ([0], -2.0),
+ ([1], -1.8),
+ ([2], -1.6),
+ ([0, 2], -1.6),
+ ([1, 2], -1.6),
+ ([3], -1.4),
+ ([0, 3], -1.4),
+ ([4], -1.2),
+ ([3, 4], -1.2),
+ ([5], -1.0),
+ ([2, 5], -1.0),
+ ([3, 5], -1.0),
+ ([5, 6], 1.0),
+ ([4, 6], 1.2),
+ ([3, 6], 1.4),
+ ([3, 4, 6], 1.4),
+ ([3, 5, 6], 1.4),
+ ([2, 6], 1.6),
+ ([2, 5, 6], 1.6),
+ ([1, 6], 1.8),
+ ([1, 2, 6], 1.8),
+ ([0, 6], 2.0),
+ ([0, 2, 6], 2.0),
+ ([0, 3, 6], 2.0)
+ ]
+
+
+ dgm = st.persistence()
+ L = st.compute_extended_persistence_subdiagrams(dgm)
+ assert L == [
+ [(0, (1.9999999999999998, 2.9999999999999996))],
+ [(1, (5.0, 4.0))],
+ [(0, (1.0, 6.0))],
+ [(1, (6.0, 1.0))]
+ ]
+