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authorvrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2018-10-02 11:19:32 +0000
committervrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2018-10-02 11:19:32 +0000
commit5baf83e454becb00ea13ad1a4c5f18c495a573f3 (patch)
tree2e1c2eca7b0b52f24857c176ed552652e5faa324
parentcae07e49a1700613bf709f7d0bbf3d1c640d4a2c (diff)
parentcae907acde52894ea1a20f3a0c0c22538c1b4128 (diff)
Merge of last modifications on Nerve_GIC branch
git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/trunk@3923 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 785b87581429e8973b9660db0940b9dfb5d37827
-rw-r--r--src/Nerve_GIC/include/gudhi/GIC.h88
-rw-r--r--src/cython/cython/nerve_gic.pyx30
2 files changed, 98 insertions, 20 deletions
diff --git a/src/Nerve_GIC/include/gudhi/GIC.h b/src/Nerve_GIC/include/gudhi/GIC.h
index fea0b861..30f89d65 100644
--- a/src/Nerve_GIC/include/gudhi/GIC.h
+++ b/src/Nerve_GIC/include/gudhi/GIC.h
@@ -226,7 +226,25 @@ class Cover_complex {
void set_mask(int nodemask) { mask = nodemask; }
public:
- /** \brief Reads and stores the input point cloud.
+
+
+ /** \brief Reads and stores the input point cloud from vector stored in memory.
+ *
+ * @param[in] cloud input vector representing the point cloud. Each row is a point and each coordinate is a vector.
+ *
+ */
+ template <class InputRange>
+ void set_point_cloud_from_range(InputRange const & cloud) {
+ n = cloud.size(); data_dimension = cloud[0].size(); point_cloud_name = "matrix";
+ for(int i = 0; i < n; i++){
+ point_cloud.emplace_back(cloud[i].begin(), cloud[i].begin() + data_dimension);
+ boost::add_vertex(one_skeleton_OFF);
+ vertices.push_back(boost::add_vertex(one_skeleton));
+ cover.emplace_back();
+ }
+ }
+
+ /** \brief Reads and stores the input point cloud from .(n)OFF file.
*
* @param[in] off_file_name name of the input .OFF or .nOFF file.
*
@@ -371,6 +389,28 @@ class Cover_complex {
distances[index[boost::source(*ei, one_skeleton)]][index[boost::target(*ei, one_skeleton)]]);
}
+ public:
+ /** \brief Reads and stores the distance matrices from vector stored in memory.
+ *
+ * @param[in] distance_matrix input vector representing the distance matrix.
+ *
+ */
+ template <class InputRange>
+ void set_distances_from_range(InputRange const & distance_matrix) {
+ if(point_cloud.size() == 0){
+ n = distance_matrix.size();
+ point_cloud_name = "matrix";
+ data_dimension = 0;
+ for(int i = 0; i < n; i++){
+ point_cloud.emplace_back();
+ boost::add_vertex(one_skeleton_OFF);
+ vertices.push_back(boost::add_vertex(one_skeleton));
+ cover.emplace_back();
+ }
+ }
+ distances = distance_matrix;
+ }
+
public: // Pairwise distances.
/** \private \brief Computes all pairwise distances.
*/
@@ -500,9 +540,17 @@ class Cover_complex {
*
*/
void set_function_from_coordinate(int k) {
- for (int i = 0; i < n; i++) func.push_back(point_cloud[i][k]);
- functional_cover = true;
- cover_name = "coordinate " + std::to_string(k);
+ if(point_cloud[0].size() > 0){
+ for (int i = 0; i < n; i++) func.push_back(point_cloud[i][k]);
+ functional_cover = true;
+ cover_name = "coordinate " + std::to_string(k);
+ }
+ else{
+ std::cout << "Only pairwise distances provided---cannot access " << k << "th coordinate; returning null vector instead" << std::endl;
+ for (int i = 0; i < n; i++) func.push_back(0.0);
+ functional_cover = true;
+ cover_name = "null";
+ }
}
public: // Set function from vector.
@@ -953,9 +1001,17 @@ class Cover_complex {
*
*/
void set_color_from_coordinate(int k = 0) {
- for (int i = 0; i < n; i++) func_color.push_back(point_cloud[i][k]);
- color_name = "coordinate ";
- color_name.append(std::to_string(k));
+ if(point_cloud[0].size() > 0){
+ for (int i = 0; i < n; i++) func_color.push_back(point_cloud[i][k]);
+ color_name = "coordinate ";
+ color_name.append(std::to_string(k));
+ }
+ else{
+ std::cout << "Only pairwise distances provided---cannot access " << k << "th coordinate; returning null vector instead" << std::endl;
+ for (int i = 0; i < n; i++) func.push_back(0.0);
+ functional_cover = true;
+ cover_name = "null";
+ }
}
public: // Set color from vector.
@@ -964,7 +1020,7 @@ class Cover_complex {
* @param[in] color input vector of values.
*
*/
- void set_color_from_vector(std::vector<double> color) {
+ void set_color_from_range(std::vector<double> color) {
for (unsigned int i = 0; i < color.size(); i++) func_color.push_back(color[i]);
}
@@ -1108,7 +1164,7 @@ class Cover_complex {
/** \brief Computes the extended persistence diagram of the complex.
*
*/
- void compute_PD() {
+ Persistence_diagram compute_PD() {
Simplex_tree st;
// Compute max and min
@@ -1121,15 +1177,18 @@ class Cover_complex {
// Build filtration
for (auto const& simplex : simplices) {
- std::vector<int> splx = simplex; splx.push_back(-2);
+ std::vector<int> splx = simplex;
+ splx.push_back(-2);
st.insert_simplex_and_subfaces(splx, -3);
}
for (std::map<int, double>::iterator it = cover_std.begin(); it != cover_std.end(); it++) {
int vertex = it->first; float val = it->second;
int vert[] = {vertex}; int edge[] = {vertex, -2};
- st.assign_filtration(st.find(vert), -2 + (val - minf)/(maxf - minf));
- st.assign_filtration(st.find(edge), 2 - (val - minf)/(maxf - minf));
+ if(st.find(vert) != st.null_simplex()){
+ st.assign_filtration(st.find(vert), -2 + (val - minf)/(maxf - minf));
+ st.assign_filtration(st.find(edge), 2 - (val - minf)/(maxf - minf));
+ }
}
st.make_filtration_non_decreasing();
@@ -1159,6 +1218,7 @@ class Cover_complex {
if (verbose) std::cout << " [" << birth << ", " << death << "]" << std::endl;
}
}
+ return PD;
}
public:
@@ -1184,7 +1244,7 @@ class Cover_complex {
Cboot.point_cloud.push_back(this->point_cloud[id]); Cboot.cover.emplace_back(); Cboot.func.push_back(this->func[id]);
boost::add_vertex(Cboot.one_skeleton_OFF); Cboot.vertices.push_back(boost::add_vertex(Cboot.one_skeleton));
}
- Cboot.set_color_from_vector(Cboot.func);
+ Cboot.set_color_from_range(Cboot.func);
for (int j = 0; j < n; j++) {
std::vector<double> dist(n);
@@ -1230,7 +1290,7 @@ class Cover_complex {
unsigned int N = distribution.size();
double level = 1;
for (unsigned int i = 0; i < N; i++)
- if (distribution[i] > d){ level = i * 1.0 / N; break; }
+ if (distribution[i] >= d){ level = i * 1.0 / N; break; }
if (verbose) std::cout << "Confidence level of distance " << d << " is " << level << std::endl;
return level;
}
diff --git a/src/cython/cython/nerve_gic.pyx b/src/cython/cython/nerve_gic.pyx
index 30a14d3b..5f01b379 100644
--- a/src/cython/cython/nerve_gic.pyx
+++ b/src/cython/cython/nerve_gic.pyx
@@ -38,14 +38,14 @@ cdef extern from "Nerve_gic_interface.h" namespace "Gudhi":
double compute_distance_from_confidence_level(double alpha)
void compute_distribution(int N)
double compute_p_value()
- void compute_PD()
+ vector[pair[double, double]] compute_PD()
void find_simplices()
void create_simplex_tree(Simplex_tree_interface_full_featured* simplex_tree)
bool read_point_cloud(string off_file_name)
double set_automatic_resolution()
void set_color_from_coordinate(int k)
void set_color_from_file(string color_file_name)
- void set_color_from_vector(vector[double] color)
+ void set_color_from_range(vector[double] color)
void set_cover_from_file(string cover_file_name)
void set_cover_from_function()
void set_cover_from_Euclidean_Voronoi(int m)
@@ -67,6 +67,8 @@ cdef extern from "Nerve_gic_interface.h" namespace "Gudhi":
void write_info()
void plot_DOT()
void plot_OFF()
+ void set_point_cloud_from_range(vector[vector[double]] cloud)
+ void set_distances_from_range(vector[vector[double]] distance_matrix)
# CoverComplex python interface
cdef class CoverComplex:
@@ -102,6 +104,22 @@ cdef class CoverComplex:
"""
return self.thisptr != NULL
+ def set_point_cloud_from_range(self, cloud):
+ """ Reads and stores the input point cloud from a vector stored in memory.
+
+ :param cloud: Input vector containing the point cloud.
+ :type cloud: vector[vector[double]]
+ """
+ return self.thisptr.set_point_cloud_from_range(cloud)
+
+ def set_distances_from_range(self, distance_matrix):
+ """ Reads and stores the input distance matrix from a vector stored in memory.
+
+ :param distance_matrix: Input vector containing the distance matrix.
+ :type distance_matrix: vector[vector[double]]
+ """
+ return self.thisptr.set_distances_from_range(distance_matrix)
+
def compute_confidence_level_from_distance(self, distance):
"""Computes the confidence level of a specific bottleneck distance
threshold.
@@ -145,7 +163,7 @@ cdef class CoverComplex:
def compute_PD(self):
"""Computes the extended persistence diagram of the complex.
"""
- self.thisptr.compute_PD()
+ return self.thisptr.compute_PD()
def create_simplex_tree(self):
"""
@@ -162,7 +180,7 @@ cdef class CoverComplex:
self.thisptr.find_simplices()
def read_point_cloud(self, off_file):
- """Reads and stores the input point cloud.
+ """Reads and stores the input point cloud from .(n)OFF file.
:param off_file: Name of the input .OFF or .nOFF file.
:type off_file: string
@@ -206,14 +224,14 @@ cdef class CoverComplex:
else:
print("file " + color_file_name + " not found.")
- def set_color_from_vector(self, color):
+ def set_color_from_range(self, color):
"""Computes the function used to color the nodes of the simplicial
complex from a vector stored in memory.
:param color: Input vector of values.
:type color: vector[double]
"""
- self.thisptr.set_color_from_vector(color)
+ self.thisptr.set_color_from_range(color)
def set_cover_from_file(self, cover_file_name):
"""Creates the cover C from a file containing the cover elements of