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-rw-r--r--src/Simplex_tree/include/gudhi/Simplex_tree.h30
-rw-r--r--src/Simplex_tree/test/simplex_tree_unit_test.cpp47
-rw-r--r--src/python/gudhi/simplex_tree.pxd1
-rw-r--r--src/python/gudhi/simplex_tree.pyx10
-rwxr-xr-xsrc/python/test/test_simplex_tree.py25
5 files changed, 111 insertions, 2 deletions
diff --git a/src/Simplex_tree/include/gudhi/Simplex_tree.h b/src/Simplex_tree/include/gudhi/Simplex_tree.h
index 889dbd00..adc8e801 100644
--- a/src/Simplex_tree/include/gudhi/Simplex_tree.h
+++ b/src/Simplex_tree/include/gudhi/Simplex_tree.h
@@ -1667,6 +1667,36 @@ class Simplex_tree {
return sh; // None of its faces has the same filtration.
}
+ public:
+ /** \brief This function resets filtration value until a given dimension.
+ * @param[in] filt_value The new filtration value.
+ * @param[in] max_dim The maximal dimension.
+ */
+ void reset_filtration(Filtration_value filt_value, int max_dim) {
+ for (auto& simplex : root_.members()) {
+ simplex.second.assign_filtration(filt_value);
+ if (has_children(&simplex) && max_dim > 0) {
+ rec_reset_filtration(simplex.second.children(), filt_value, (max_dim - 1));
+ }
+ }
+ clear_filtration(); // Drop the cache.
+ }
+
+ private:
+ /** \brief Recursively resets filtration value until a given dimension.
+ * @param[in] sib Siblings to be parsed.
+ * @param[in] filt_value The new filtration value.
+ * @param[in] max_dim The maximal dimension.
+ */
+ void rec_reset_filtration(Siblings * sib, Filtration_value filt_value, int max_dim) {
+ for (auto& simplex : sib->members()) {
+ simplex.second.assign_filtration(filt_value);
+ if (has_children(&simplex) && max_dim > 0) {
+ rec_reset_filtration(simplex.second.children(), filt_value, (max_dim - 1));
+ }
+ }
+ }
+
private:
Vertex_handle null_vertex_;
/** \brief Total number of simplices in the complex, without the empty simplex.*/
diff --git a/src/Simplex_tree/test/simplex_tree_unit_test.cpp b/src/Simplex_tree/test/simplex_tree_unit_test.cpp
index 9b5fa8fe..9780f5b0 100644
--- a/src/Simplex_tree/test/simplex_tree_unit_test.cpp
+++ b/src/Simplex_tree/test/simplex_tree_unit_test.cpp
@@ -940,3 +940,50 @@ BOOST_AUTO_TEST_CASE_TEMPLATE(generators, typeST, list_of_tested_variants) {
BOOST_CHECK(st.edge_with_same_filtration(st.find({1,5}))==st.find({1,5}));
}
}
+
+BOOST_AUTO_TEST_CASE_TEMPLATE(simplex_tree_reset_filtration, typeST, list_of_tested_variants) {
+ std::clog << "********************************************************************" << std::endl;
+ std::clog << "TEST RESET FILTRATION" << std::endl;
+ typeST st;
+
+ st.insert_simplex_and_subfaces({2, 1, 0}, 3.);
+ st.insert_simplex_and_subfaces({3, 0}, 2.);
+ st.insert_simplex_and_subfaces({3, 4, 5}, 3.);
+ st.insert_simplex_and_subfaces({0, 1, 6, 7}, 4.);
+
+ /* Inserted simplex: */
+ /* 1 6 */
+ /* o---o */
+ /* /X\7/ */
+ /* o---o---o---o */
+ /* 2 0 3\X/4 */
+ /* o */
+ /* 5 */
+
+ for (auto f_simplex : st.skeleton_simplex_range(3)) {
+ std::clog << "vertex = (";
+ for (auto vertex : st.simplex_vertex_range(f_simplex)) {
+ std::clog << vertex << ",";
+ }
+ std::clog << ") - filtration =" << st.filtration(f_simplex) << std::endl;
+ BOOST_CHECK(st.filtration(f_simplex) >= 2.);
+ }
+
+ // dimension until 5 even if simplex tree is of dimension 3 to test the limits
+ for(int dimension = 0; dimension < 6; dimension ++) {
+ st.reset_filtration(0., dimension);
+ for (auto f_simplex : st.skeleton_simplex_range(3)) {
+ std::clog << "vertex = (";
+ for (auto vertex : st.simplex_vertex_range(f_simplex)) {
+ std::clog << vertex << ",";
+ }
+ std::clog << ") - filtration =" << st.filtration(f_simplex) << std::endl;
+ if (st.dimension(f_simplex) > dimension)
+ BOOST_CHECK(st.filtration(f_simplex) >= 1.);
+ else
+ BOOST_CHECK(st.filtration(f_simplex) == 0.);
+ }
+ }
+
+}
+
diff --git a/src/python/gudhi/simplex_tree.pxd b/src/python/gudhi/simplex_tree.pxd
index 75e94e0b..3b494ba3 100644
--- a/src/python/gudhi/simplex_tree.pxd
+++ b/src/python/gudhi/simplex_tree.pxd
@@ -58,6 +58,7 @@ cdef extern from "Simplex_tree_interface.h" namespace "Gudhi":
void compute_extended_filtration() nogil
vector[vector[pair[int, pair[double, double]]]] compute_extended_persistence_subdiagrams(vector[pair[int, pair[double, double]]] dgm, double min_persistence) nogil
Simplex_tree_interface_full_featured* collapse_edges(int nb_collapse_iteration) nogil
+ void reset_filtration(double filtration, int dimension) nogil
# Iterators over Simplex tree
pair[vector[int], double] get_simplex_and_filtration(Simplex_tree_simplex_handle f_simplex) nogil
Simplex_tree_simplices_iterator get_simplices_iterator_begin() nogil
diff --git a/src/python/gudhi/simplex_tree.pyx b/src/python/gudhi/simplex_tree.pyx
index dfb1d985..b7682693 100644
--- a/src/python/gudhi/simplex_tree.pyx
+++ b/src/python/gudhi/simplex_tree.pyx
@@ -358,6 +358,16 @@ cdef class SimplexTree:
"""
return self.get_ptr().make_filtration_non_decreasing()
+ def reset_filtration(self, filtration, max_dim):
+ """This function resets filtration value until a given dimension.
+
+ :param filtration: New threshold value.
+ :type filtration: float.
+ :param max_dim: The maximal dimension.
+ :type max_dim: int.
+ """
+ self.get_ptr().reset_filtration(filtration, max_dim)
+
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
diff --git a/src/python/test/test_simplex_tree.py b/src/python/test/test_simplex_tree.py
index 83be0602..6f1d01cc 100755
--- a/src/python/test/test_simplex_tree.py
+++ b/src/python/test/test_simplex_tree.py
@@ -356,5 +356,26 @@ def test_collapse_edges():
st.collapse_edges()
assert st.num_simplices() == 9
assert st.find([1, 3]) == False
- for simplex in st.get_skeleton(0):
- assert simplex[1] == 1.
+ for simplex in st.get_skeleton(0):
+ assert simplex[1] == 1.
+
+def test_reset_filtration():
+ st = SimplexTree()
+
+ assert st.insert([0, 1, 2], 3.) == True
+ assert st.insert([0, 3], 2.) == True
+ assert st.insert([3, 4, 5], 3.) == True
+ assert st.insert([0, 1, 6, 7], 4.) == True
+
+ for simplex in st.get_simplices():
+ assert st.filtration(simplex[0]) >= 0.
+
+ # dimension until 5 even if simplex tree is of dimension 3 to test the limits
+ for dimension in range(0, 6):
+ st.reset_filtration(0., dimension)
+ for simplex in st.get_skeleton(3):
+ print(simplex)
+ if len(simplex[0]) > (dimension + 1):
+ assert st.filtration(simplex[0]) >= 1.
+ else:
+ assert st.filtration(simplex[0]) == 0.