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-rwxr-xr-xscripts/concatenate_utils_readme.sh4
-rw-r--r--src/Alpha_complex/utilities/CMakeLists.txt65
-rw-r--r--src/Alpha_complex/utilities/README172
-rw-r--r--src/Alpha_complex/utilities/alpha_complex_3d_helper.h (renamed from src/Persistent_cohomology/example/alpha_complex_3d_helper.h)0
-rw-r--r--src/Alpha_complex/utilities/alpha_complex_3d_persistence.cpp (renamed from src/Persistent_cohomology/example/alpha_complex_3d_persistence.cpp)83
-rw-r--r--src/Alpha_complex/utilities/alpha_complex_persistence.cpp (renamed from src/Persistent_cohomology/example/alpha_complex_persistence.cpp)63
-rw-r--r--src/Alpha_complex/utilities/exact_alpha_complex_3d_persistence.cpp (renamed from src/Persistent_cohomology/example/exact_alpha_complex_3d_persistence.cpp)83
-rw-r--r--src/Alpha_complex/utilities/periodic_alpha_complex_3d_persistence.cpp (renamed from src/Persistent_cohomology/example/periodic_alpha_complex_3d_persistence.cpp)95
-rw-r--r--src/Alpha_complex/utilities/weighted_alpha_complex_3d_persistence.cpp (renamed from src/Persistent_cohomology/example/weighted_alpha_complex_3d_persistence.cpp)99
-rw-r--r--src/Alpha_complex/utilities/weighted_periodic_alpha_complex_3d_persistence.cpp (renamed from src/Persistent_cohomology/example/weighted_periodic_alpha_complex_3d_persistence.cpp)0
-rw-r--r--src/Bitmap_cubical_complex/doc/Gudhi_Cubical_Complex_doc.h2
-rw-r--r--src/Bitmap_cubical_complex/example/CMakeLists.txt26
-rw-r--r--src/Bitmap_cubical_complex/utilities/Bitmap_cubical_complex.cpp (renamed from src/Bitmap_cubical_complex/example/Bitmap_cubical_complex.cpp)0
-rw-r--r--src/Bitmap_cubical_complex/utilities/Bitmap_cubical_complex_periodic_boundary_conditions.cpp (renamed from src/Bitmap_cubical_complex/example/Bitmap_cubical_complex_periodic_boundary_conditions.cpp)0
-rw-r--r--src/Bitmap_cubical_complex/utilities/CMakeLists.txt29
-rw-r--r--src/Bitmap_cubical_complex/utilities/README24
-rw-r--r--src/Bottleneck_distance/example/CMakeLists.txt34
-rw-r--r--src/Bottleneck_distance/example/README19
-rw-r--r--src/Bottleneck_distance/utilities/CMakeLists.txt16
-rw-r--r--src/Bottleneck_distance/utilities/README10
-rw-r--r--src/Bottleneck_distance/utilities/bottleneck_read_file.cpp (renamed from src/Bottleneck_distance/example/bottleneck_read_file_example.cpp)2
-rw-r--r--src/Contraction/example/CMakeLists.txt3
-rw-r--r--src/Contraction/example/Garland_heckbert.cpp5
-rw-r--r--src/Doxyfile3
-rw-r--r--src/Persistent_cohomology/doc/Intro_persistent_cohomology.h28
-rw-r--r--src/Persistent_cohomology/example/CMakeLists.txt73
-rw-r--r--src/Persistent_cohomology/example/README121
-rw-r--r--src/Persistent_cohomology/example/rips_persistence_step_by_step.cpp59
-rw-r--r--src/Rips_complex/utilities/CMakeLists.txt21
-rw-r--r--src/Rips_complex/utilities/README67
-rw-r--r--src/Rips_complex/utilities/rips_distance_matrix_persistence.cpp (renamed from src/Persistent_cohomology/example/rips_distance_matrix_persistence.cpp)0
-rw-r--r--src/Rips_complex/utilities/rips_persistence.cpp (renamed from src/Persistent_cohomology/example/rips_persistence.cpp)0
-rw-r--r--src/Simplex_tree/example/CMakeLists.txt10
-rw-r--r--src/Simplex_tree/example/cech_complex_cgal_mini_sphere_3d.cpp234
-rw-r--r--src/Simplex_tree/example/example_alpha_shapes_3_simplex_tree_from_off_file.cpp2
-rw-r--r--src/Simplex_tree/include/gudhi/Simplex_tree.h32
-rw-r--r--src/Witness_complex/doc/Witness_complex_doc.h14
-rw-r--r--src/Witness_complex/example/CMakeLists.txt32
-rw-r--r--src/Witness_complex/example/example_strong_witness_complex_off.cpp8
-rw-r--r--src/Witness_complex/example/example_witness_complex_off.cpp6
-rw-r--r--src/Witness_complex/example/example_witness_complex_sphere.cpp4
-rw-r--r--src/Witness_complex/include/gudhi/Strong_witness_complex.h6
-rw-r--r--src/Witness_complex/utilities/CMakeLists.txt28
-rw-r--r--src/Witness_complex/utilities/README72
-rw-r--r--src/Witness_complex/utilities/strong_witness_persistence.cpp (renamed from src/Witness_complex/example/example_strong_witness_persistence.cpp)6
-rw-r--r--src/Witness_complex/utilities/weak_witness_persistence.cpp (renamed from src/Witness_complex/example/example_witness_complex_persistence.cpp)6
-rw-r--r--src/common/doc/file_formats.h15
-rw-r--r--src/common/doc/main_page.h116
-rw-r--r--src/common/include/gudhi/graph_simplicial_complex.h63
-rw-r--r--src/common/utilities/README26
-rw-r--r--src/cython/cython/simplex_tree.pyx128
-rw-r--r--src/cython/include/Simplex_tree_interface.h4
-rwxr-xr-xsrc/cython/test/test_simplex_tree.py27
53 files changed, 1484 insertions, 561 deletions
diff --git a/scripts/concatenate_utils_readme.sh b/scripts/concatenate_utils_readme.sh
new file mode 100755
index 00000000..f5390044
--- /dev/null
+++ b/scripts/concatenate_utils_readme.sh
@@ -0,0 +1,4 @@
+#!/bin/bash
+
+rm README_FOR_UTILITIES.txt
+locate utilities/README | grep `svn info | grep '^URL:' | egrep -o '(tags|branches)/[^/]+|trunk' | egrep -o '[^/]+$'` | xargs cat -- >> README_FOR_UTILITIES.txt \ No newline at end of file
diff --git a/src/Alpha_complex/utilities/CMakeLists.txt b/src/Alpha_complex/utilities/CMakeLists.txt
new file mode 100644
index 00000000..79d9e7dd
--- /dev/null
+++ b/src/Alpha_complex/utilities/CMakeLists.txt
@@ -0,0 +1,65 @@
+cmake_minimum_required(VERSION 2.6)
+project(Alpha_complex_utilities)
+
+if(CGAL_FOUND)
+ add_executable(alpha_complex_3d_persistence alpha_complex_3d_persistence.cpp)
+ target_link_libraries(alpha_complex_3d_persistence ${CGAL_LIBRARY} ${Boost_PROGRAM_OPTIONS_LIBRARY})
+ add_executable(exact_alpha_complex_3d_persistence exact_alpha_complex_3d_persistence.cpp)
+ target_link_libraries(exact_alpha_complex_3d_persistence ${CGAL_LIBRARY} ${Boost_PROGRAM_OPTIONS_LIBRARY})
+ add_executable(weighted_alpha_complex_3d_persistence weighted_alpha_complex_3d_persistence.cpp)
+ target_link_libraries(weighted_alpha_complex_3d_persistence ${CGAL_LIBRARY} ${Boost_PROGRAM_OPTIONS_LIBRARY})
+
+ if (TBB_FOUND)
+ target_link_libraries(alpha_complex_3d_persistence ${TBB_LIBRARIES})
+ target_link_libraries(exact_alpha_complex_3d_persistence ${TBB_LIBRARIES})
+ target_link_libraries(weighted_alpha_complex_3d_persistence ${TBB_LIBRARIES})
+ endif(TBB_FOUND)
+
+ add_test(NAME Alpha_complex_utilities_alpha_complex_3d_persistence COMMAND $<TARGET_FILE:alpha_complex_3d_persistence>
+ "${CMAKE_SOURCE_DIR}/data/points/tore3D_300.off" "-p" "2" "-m" "0.45")
+ add_test(NAME Alpha_complex_utilities_exact_alpha_complex_3d COMMAND $<TARGET_FILE:exact_alpha_complex_3d_persistence>
+ "${CMAKE_SOURCE_DIR}/data/points/tore3D_300.off" "-p" "2" "-m" "0.45")
+ add_test(NAME Alpha_complex_utilities_weighted_alpha_complex_3d COMMAND $<TARGET_FILE:weighted_alpha_complex_3d_persistence>
+ "${CMAKE_SOURCE_DIR}/data/points/tore3D_300.off" "${CMAKE_SOURCE_DIR}/data/points/tore3D_300.weights" "-p" "2" "-m" "0.45")
+
+ install(TARGETS alpha_complex_3d_persistence DESTINATION bin)
+ install(TARGETS exact_alpha_complex_3d_persistence DESTINATION bin)
+ install(TARGETS weighted_alpha_complex_3d_persistence DESTINATION bin)
+
+ if (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.7.0)
+ add_executable (alpha_complex_persistence alpha_complex_persistence.cpp)
+ target_link_libraries(alpha_complex_persistence ${CGAL_LIBRARY} ${Boost_PROGRAM_OPTIONS_LIBRARY})
+
+ add_executable(periodic_alpha_complex_3d_persistence periodic_alpha_complex_3d_persistence.cpp)
+ target_link_libraries(periodic_alpha_complex_3d_persistence ${CGAL_LIBRARY} ${Boost_PROGRAM_OPTIONS_LIBRARY})
+
+ if (TBB_FOUND)
+ target_link_libraries(alpha_complex_persistence ${TBB_LIBRARIES})
+ target_link_libraries(periodic_alpha_complex_3d_persistence ${TBB_LIBRARIES})
+ endif(TBB_FOUND)
+ add_test(NAME Alpha_complex_utilities_alpha_complex_persistence COMMAND $<TARGET_FILE:alpha_complex_persistence>
+ "${CMAKE_SOURCE_DIR}/data/points/tore3D_300.off" "-p" "2" "-m" "0.45")
+ add_test(NAME Alpha_complex_utilities_periodic_alpha_complex_3d_persistence COMMAND $<TARGET_FILE:periodic_alpha_complex_3d_persistence>
+ "${CMAKE_SOURCE_DIR}/data/points/grid_10_10_10_in_0_1.off" "${CMAKE_SOURCE_DIR}/data/points/iso_cuboid_3_in_0_1.txt" "-p" "2" "-m" "0")
+
+ install(TARGETS alpha_complex_persistence DESTINATION bin)
+ install(TARGETS periodic_alpha_complex_3d_persistence DESTINATION bin)
+
+ endif (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.7.0)
+
+ if (NOT CGAL_VERSION VERSION_LESS 4.11.0)
+ add_executable(weighted_periodic_alpha_complex_3d_persistence weighted_periodic_alpha_complex_3d_persistence.cpp)
+ target_link_libraries(weighted_periodic_alpha_complex_3d_persistence ${CGAL_LIBRARY})
+ if (TBB_FOUND)
+ target_link_libraries(weighted_periodic_alpha_complex_3d_persistence ${TBB_LIBRARIES})
+ endif(TBB_FOUND)
+
+ add_test(NAME Persistent_cohomology_example_weigted_periodic_alpha_complex_3d COMMAND $<TARGET_FILE:weighted_periodic_alpha_complex_3d_persistence>
+ "${CMAKE_SOURCE_DIR}/data/points/grid_10_10_10_in_0_1.off" "${CMAKE_SOURCE_DIR}/data/points/grid_10_10_10_in_0_1.weights"
+ "${CMAKE_SOURCE_DIR}/data/points/iso_cuboid_3_in_0_1.txt" "3" "1.0")
+
+ install(TARGETS weighted_periodic_alpha_complex_3d_persistence DESTINATION bin)
+
+ endif (NOT CGAL_VERSION VERSION_LESS 4.11.0)
+
+endif(CGAL_FOUND)
diff --git a/src/Alpha_complex/utilities/README b/src/Alpha_complex/utilities/README
new file mode 100644
index 00000000..c3dd170b
--- /dev/null
+++ b/src/Alpha_complex/utilities/README
@@ -0,0 +1,172 @@
+# Alpha_complex #
+
+## `alpha_complex_3d_persistence` ##
+This program computes the persistent homology with coefficient field Z/pZ of the 3D alpha complex built from a 3D point cloud. The output diagram contains one bar per line, written with the convention:
+
+`p dim b d`
+
+where `dim` is the dimension of the homological feature, `b` and `d` are respectively the birth and death of the feature, and `p` is the characteristic of the field *Z/pZ* used for homology coefficients (`p` must be a prime number).
+
+**Usage**
+`alpha_complex_3d_persistence [options] <OFF input file>`
+
+**Allowed options**
+* `-h [ --help ]` Produce help message
+* `-o [ --output-file ]` Name of file in which the persistence diagram is written. Default print in standard output.
+* `-p [ --field-charac ]` (default=11) Characteristic p of the coefficient field Z/pZ for computing homology.
+* `-m [ --min-persistence ]` (default = 0) Minimal lifetime of homology feature to be recorded. Enter a negative value to see zero length intervals.
+
+**Example**
+`alpha_complex_3d_persistence ../../data/points/tore3D_300.off -p 2 -m 0.45`
+
+outputs:
+```
+Simplex_tree dim: 3
+2 0 0 inf
+2 1 0.0682162 1.0001
+2 1 0.0934117 1.00003
+2 2 0.56444 1.03938
+```
+
+Here we retrieve expected Betti numbers on a tore 3D:
+```
+Betti numbers[0] = 1
+Betti numbers[1] = 2
+Betti numbers[2] = 1
+```
+
+N.B.:
+* `alpha_complex_3d_persistence` only accepts OFF files in dimension 3.
+* Filtration values are alpha square values.
+
+
+
+## `exact_alpha_complex_3d_persistence` ##
+Same as `alpha_complex_3d_persistence`, but using exact computation. It is slower, but it is necessary when points are on a grid for instance.
+
+
+
+## `weighted_alpha_complex_3d_persistence` ##
+Same as `alpha_complex_3d_persistence`, but using weighted points.
+
+**Usage**
+`weighted_alpha_complex_3d_persistence [options] <OFF input file> <weights input file>`
+
+**Allowed options**
+* `-h [ --help ]` Produce help message
+* `-o [ --output-file ]` Name of file in which the persistence diagram is written. Default print in standard output.
+* `-p [ --field-charac ]` (default=11) Characteristic p of the coefficient field Z/pZ for computing homology.
+* `-m [ --min-persistence ]` (default = 0) Minimal lifetime of homology feature to be recorded. Enter a negative value to see zero length intervals.
+
+**Example**
+`weighted_alpha_complex_3d_persistence ../../data/points/tore3D_300.off ../../data/points/tore3D_300.weights -p 2 -m 0.45`
+
+outputs:
+```
+Simplex_tree dim: 3
+2 0 -1 inf
+2 1 -0.931784 0.000103311
+2 1 -0.906588 2.60165e-05
+2 2 -0.43556 0.0393798
+```
+
+N.B.:
+* Weights values are explained on CGAL [Alpha shape](https://doc.cgal.org/latest/Alpha_shapes_3/index.html#title0)
+and [Regular triangulation](https://doc.cgal.org/latest/Triangulation_3/index.html#Triangulation3secclassRegulartriangulation) documentation.
+* Filtration values are alpha square values.
+
+
+## `periodic_alpha_complex_3d_persistence` ##
+Same as `alpha_complex_3d_persistence`, but using periodic alpha shape 3d.
+
+**Usage**
+`periodic_alpha_complex_3d_persistence <input OFF file> <cuboid file> <p> <min_persistence>`
+where
+`<input OFF file>` is the path to the input point cloud in OFF format.
+`<cuboid file>` is the path to the file describing the periodic domain. It must be in the format described [here](http://gudhi.gforge.inria.fr/doc/latest/fileformats.html#FileFormatsIsoCuboid).
+`<p>` is the characteristic p of the coefficient field *Z/pZ* for computing homology. It must be a stricly positive integer.
+`<min_persistence>` is the minimal lifetime of homology feature to be recorded. Enter a negative value to see zero length intervals.
+
+**Usage**
+`./periodic_alpha_complex_3d_persistence [options] input-file cuboid-file`
+
+**Allowed options**
+* `-h [ --help ]` Produce help message
+* `-o [ --output-file ]` Name of file in which the persistence diagram is written. Default print in standard output.
+* `-p [ --field-charac ]` (default=11) Characteristic p of the coefficient field Z/pZ for computing homology.
+* `-m [ --min-persistence ]` (default = 0) Minimal lifetime of homology feature to be recorded. Enter a negative value to see zero length intervals
+
+
+**Example**
+`periodic_alpha_complex_3d_persistence ../../data/points/grid_10_10_10_in_0_1.off ../../data/points/iso_cuboid_3_in_0_1.txt -p 3 -m 1.0`
+
+outputs:
+```
+Periodic Delaunay computed.
+Simplex_tree dim: 3
+3 0 0 inf
+3 1 0.0025 inf
+3 1 0.0025 inf
+3 1 0.0025 inf
+3 2 0.005 inf
+3 2 0.005 inf
+3 2 0.005 inf
+3 3 0.0075 inf
+```
+
+Here we retrieve expected Betti numbers on an 3D iso-oriented cuboids:
+```
+Betti numbers[0] = 1
+Betti numbers[1] = 3
+Betti numbers[2] = 3
+Betti numbers[3] = 1
+```
+
+N.B.:
+* Cuboid file must be in the format described [here](http://gudhi.gforge.inria.fr/doc/latest/fileformats.html#FileFormatsIsoCuboid).
+* Filtration values are alpha square values.
+
+
+
+
+## `alpha_complex_persistence` ##
+This program computes the persistent homology with coefficient field Z/pZ of the dD alpha complex built from a dD point cloud. The output diagram contains one bar per line, written with the convention:
+
+`p dim b d`
+
+where `dim` is the dimension of the homological feature, `b` and `d` are respectively the birth and death of the feature, and `p` is the characteristic of the field *Z/pZ* used for homology coefficients (`p` must be a prime number).
+
+**Usage**
+`alpha_complex_persistence [options] <OFF input file>`
+
+**Allowed options**
+
+* `-h [ --help ]` Produce help message
+* `-o [ --output-file ]` Name of file in which the persistence diagram is written. Default print in standard output.
+* `-r [ --max-alpha-square-value ]` (default = inf) Maximal alpha square value for the Alpha complex construction.
+* `-p [ --field-charac ]` (default = 11) Characteristic p of the coefficient field Z/pZ for computing homology.
+* `-m [ --min-persistence ]` (default = 0) Minimal lifetime of homology feature to be recorded. Enter a negative value to see zero length intervals.
+
+**Example**
+`alpha_complex_persistence -r 32 -p 2 -m 0.45 ../../data/points/tore3D_300.off`
+
+outputs:
+```
+Alpha complex is of dimension 3 - 9273 simplices - 300 vertices.
+Simplex_tree dim: 3
+2 0 0 inf
+2 1 0.0682162 1.0001
+2 1 0.0934117 1.00003
+2 2 0.56444 1.03938
+```
+
+Here we retrieve expected Betti numbers on a tore 3D:
+```
+Betti numbers[0] = 1
+Betti numbers[1] = 2
+Betti numbers[2] = 1
+```
+
+N.B.:
+* `alpha_complex_persistence` only accepts OFF files in dimension d.
+* Filtration values are alpha square values.
diff --git a/src/Persistent_cohomology/example/alpha_complex_3d_helper.h b/src/Alpha_complex/utilities/alpha_complex_3d_helper.h
index 6b3b7d5d..6b3b7d5d 100644
--- a/src/Persistent_cohomology/example/alpha_complex_3d_helper.h
+++ b/src/Alpha_complex/utilities/alpha_complex_3d_helper.h
diff --git a/src/Persistent_cohomology/example/alpha_complex_3d_persistence.cpp b/src/Alpha_complex/utilities/alpha_complex_3d_persistence.cpp
index 26196a6f..0a021a0f 100644
--- a/src/Persistent_cohomology/example/alpha_complex_3d_persistence.cpp
+++ b/src/Alpha_complex/utilities/alpha_complex_3d_persistence.cpp
@@ -20,6 +20,7 @@
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
+#include <boost/program_options.hpp>
#include <boost/variant.hpp>
#include <gudhi/Simplex_tree.h>
@@ -77,30 +78,23 @@ using Simplex_tree_vector_vertex = std::vector<Simplex_tree_vertex>;
using Persistent_cohomology =
Gudhi::persistent_cohomology::Persistent_cohomology<ST, Gudhi::persistent_cohomology::Field_Zp>;
-void usage(const std::string& progName) {
- std::cerr << "Usage: " << progName
- << " path_to_the_OFF_file coeff_field_characteristic[integer > 0] min_persistence[float >= -1.0]\n";
- exit(-1);
-}
+void program_options(int argc, char *argv[], std::string &off_file_points, std::string &output_file_diag,
+ int &coeff_field_characteristic, Filtration_value &min_persistence);
-int main(int argc, char* const argv[]) {
- // program args management
- if (argc != 4) {
- std::cerr << "Error: Number of arguments (" << argc << ") is not correct\n";
- usage(argv[0]);
- }
+int main(int argc, char **argv) {
+ std::string off_file_points;
+ std::string output_file_diag;
+ int coeff_field_characteristic;
+ Filtration_value min_persistence;
- int coeff_field_characteristic = atoi(argv[2]);
- Filtration_value min_persistence = strtof(argv[3], nullptr);
+ program_options(argc, argv, off_file_points, output_file_diag, coeff_field_characteristic, min_persistence);
- // Read points from file
- std::string offInputFile(argv[1]);
// Read the OFF file (input file name given as parameter) and triangulate points
- Gudhi::Points_3D_off_reader<Point_3> off_reader(offInputFile);
+ Gudhi::Points_3D_off_reader<Point_3> off_reader(off_file_points);
// Check the read operation was correct
if (!off_reader.is_valid()) {
- std::cerr << "Unable to read file " << offInputFile << std::endl;
- usage(argv[0]);
+ std::cerr << "Unable to read file " << off_file_points << std::endl;
+ exit(-1);
}
// Retrieve the triangulation
@@ -229,7 +223,58 @@ int main(int argc, char* const argv[]) {
pcoh.compute_persistent_cohomology(min_persistence);
- pcoh.output_diagram();
+ // Output the diagram in filediag
+ if (output_file_diag.empty()) {
+ pcoh.output_diagram();
+ } else {
+ std::cout << "Result in file: " << output_file_diag << std::endl;
+ std::ofstream out(output_file_diag);
+ pcoh.output_diagram(out);
+ out.close();
+ }
return 0;
}
+
+void program_options(int argc, char *argv[], std::string &off_file_points, std::string &output_file_diag,
+ int &coeff_field_characteristic, Filtration_value &min_persistence) {
+ namespace po = boost::program_options;
+ po::options_description hidden("Hidden options");
+ hidden.add_options()("input-file", po::value<std::string>(&off_file_points),
+ "Name of file containing a point set. Format is one point per line: X1 ... Xd ");
+
+ po::options_description visible("Allowed options", 100);
+ visible.add_options()("help,h", "produce help message")(
+ "output-file,o", po::value<std::string>(&output_file_diag)->default_value(std::string()),
+ "Name of file in which the persistence diagram is written. Default print in std::cout")(
+ "field-charac,p", po::value<int>(&coeff_field_characteristic)->default_value(11),
+ "Characteristic p of the coefficient field Z/pZ for computing homology.")(
+ "min-persistence,m", po::value<Filtration_value>(&min_persistence),
+ "Minimal lifetime of homology feature to be recorded. Default is 0. Enter a negative value to see zero length "
+ "intervals");
+
+ po::positional_options_description pos;
+ pos.add("input-file", 1);
+
+ po::options_description all;
+ all.add(visible).add(hidden);
+
+ po::variables_map vm;
+ po::store(po::command_line_parser(argc, argv).options(all).positional(pos).run(), vm);
+ po::notify(vm);
+
+ if (vm.count("help") || !vm.count("input-file")) {
+ std::cout << std::endl;
+ std::cout << "Compute the persistent homology with coefficient field Z/pZ \n";
+ std::cout << "of a 3D Alpha complex defined on a set of input points.\n \n";
+ std::cout << "The output diagram contains one bar per line, written with the convention: \n";
+ std::cout << " p dim b d \n";
+ std::cout << "where dim is the dimension of the homological feature,\n";
+ std::cout << "b and d are respectively the birth and death of the feature and \n";
+ std::cout << "p is the characteristic of the field Z/pZ used for homology coefficients." << std::endl << std::endl;
+
+ std::cout << "Usage: " << argv[0] << " [options] input-file" << std::endl << std::endl;
+ std::cout << visible << std::endl;
+ std::abort();
+ }
+}
diff --git a/src/Persistent_cohomology/example/alpha_complex_persistence.cpp b/src/Alpha_complex/utilities/alpha_complex_persistence.cpp
index 9e84e91f..2105220a 100644
--- a/src/Persistent_cohomology/example/alpha_complex_persistence.cpp
+++ b/src/Alpha_complex/utilities/alpha_complex_persistence.cpp
@@ -14,12 +14,9 @@
using Simplex_tree = Gudhi::Simplex_tree<>;
using Filtration_value = Simplex_tree::Filtration_value;
-void program_options(int argc, char * argv[]
- , std::string & off_file_points
- , std::string & output_file_diag
- , Filtration_value & alpha_square_max_value
- , int & coeff_field_characteristic
- , Filtration_value & min_persistence);
+void program_options(int argc, char *argv[], std::string &off_file_points, std::string &output_file_diag,
+ Filtration_value &alpha_square_max_value, int &coeff_field_characteristic,
+ Filtration_value &min_persistence);
int main(int argc, char **argv) {
std::string off_file_points;
@@ -28,13 +25,13 @@ int main(int argc, char **argv) {
int coeff_field_characteristic;
Filtration_value min_persistence;
- program_options(argc, argv, off_file_points, output_file_diag, alpha_square_max_value,
- coeff_field_characteristic, min_persistence);
+ program_options(argc, argv, off_file_points, output_file_diag, alpha_square_max_value, coeff_field_characteristic,
+ min_persistence);
// ----------------------------------------------------------------------------
// Init of an alpha complex from an OFF file
// ----------------------------------------------------------------------------
- using Kernel = CGAL::Epick_d< CGAL::Dynamic_dimension_tag >;
+ using Kernel = CGAL::Epick_d<CGAL::Dynamic_dimension_tag>;
Gudhi::alpha_complex::Alpha_complex<Kernel> alpha_complex_from_file(off_file_points);
Simplex_tree simplex;
@@ -42,17 +39,16 @@ int main(int argc, char **argv) {
// ----------------------------------------------------------------------------
// Display information about the alpha complex
// ----------------------------------------------------------------------------
- std::cout << "Simplicial complex is of dimension " << simplex.dimension() <<
- " - " << simplex.num_simplices() << " simplices - " <<
- simplex.num_vertices() << " vertices." << std::endl;
+ std::cout << "Simplicial complex is of dimension " << simplex.dimension() << " - " << simplex.num_simplices()
+ << " simplices - " << simplex.num_vertices() << " vertices." << std::endl;
// Sort the simplices in the order of the filtration
simplex.initialize_filtration();
std::cout << "Simplex_tree dim: " << simplex.dimension() << std::endl;
// Compute the persistence diagram of the complex
- Gudhi::persistent_cohomology::Persistent_cohomology< Simplex_tree,
- Gudhi::persistent_cohomology::Field_Zp > pcoh(simplex);
+ Gudhi::persistent_cohomology::Persistent_cohomology<Simplex_tree, Gudhi::persistent_cohomology::Field_Zp> pcoh(
+ simplex);
// initializes the coefficient field for homology
pcoh.init_coefficients(coeff_field_characteristic);
@@ -72,30 +68,26 @@ int main(int argc, char **argv) {
return 0;
}
-void program_options(int argc, char * argv[]
- , std::string & off_file_points
- , std::string & output_file_diag
- , Filtration_value & alpha_square_max_value
- , int & coeff_field_characteristic
- , Filtration_value & min_persistence) {
+void program_options(int argc, char *argv[], std::string &off_file_points, std::string &output_file_diag,
+ Filtration_value &alpha_square_max_value, int &coeff_field_characteristic,
+ Filtration_value &min_persistence) {
namespace po = boost::program_options;
po::options_description hidden("Hidden options");
- hidden.add_options()
- ("input-file", po::value<std::string>(&off_file_points),
- "Name of file containing a point set. Format is one point per line: X1 ... Xd ");
+ hidden.add_options()("input-file", po::value<std::string>(&off_file_points),
+ "Name of file containing a point set. Format is one point per line: X1 ... Xd ");
po::options_description visible("Allowed options", 100);
- visible.add_options()
- ("help,h", "produce help message")
- ("output-file,o", po::value<std::string>(&output_file_diag)->default_value(std::string()),
- "Name of file in which the persistence diagram is written. Default print in std::cout")
- ("max-alpha-square-value,r",
- po::value<Filtration_value>(&alpha_square_max_value)->default_value(std::numeric_limits<Filtration_value>::infinity()),
- "Maximal alpha square value for the Alpha complex construction.")
- ("field-charac,p", po::value<int>(&coeff_field_characteristic)->default_value(11),
- "Characteristic p of the coefficient field Z/pZ for computing homology.")
- ("min-persistence,m", po::value<Filtration_value>(&min_persistence),
- "Minimal lifetime of homology feature to be recorded. Default is 0. Enter a negative value to see zero length intervals");
+ visible.add_options()("help,h", "produce help message")(
+ "output-file,o", po::value<std::string>(&output_file_diag)->default_value(std::string()),
+ "Name of file in which the persistence diagram is written. Default print in std::cout")(
+ "max-alpha-square-value,r", po::value<Filtration_value>(&alpha_square_max_value)
+ ->default_value(std::numeric_limits<Filtration_value>::infinity()),
+ "Maximal alpha square value for the Alpha complex construction.")(
+ "field-charac,p", po::value<int>(&coeff_field_characteristic)->default_value(11),
+ "Characteristic p of the coefficient field Z/pZ for computing homology.")(
+ "min-persistence,m", po::value<Filtration_value>(&min_persistence),
+ "Minimal lifetime of homology feature to be recorded. Default is 0. Enter a negative value to see zero length "
+ "intervals");
po::positional_options_description pos;
pos.add("input-file", 1);
@@ -104,8 +96,7 @@ void program_options(int argc, char * argv[]
all.add(visible).add(hidden);
po::variables_map vm;
- po::store(po::command_line_parser(argc, argv).
- options(all).positional(pos).run(), vm);
+ po::store(po::command_line_parser(argc, argv).options(all).positional(pos).run(), vm);
po::notify(vm);
if (vm.count("help") || !vm.count("input-file")) {
diff --git a/src/Persistent_cohomology/example/exact_alpha_complex_3d_persistence.cpp b/src/Alpha_complex/utilities/exact_alpha_complex_3d_persistence.cpp
index 2e2bfd2f..9a266418 100644
--- a/src/Persistent_cohomology/example/exact_alpha_complex_3d_persistence.cpp
+++ b/src/Alpha_complex/utilities/exact_alpha_complex_3d_persistence.cpp
@@ -20,6 +20,7 @@
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
+#include <boost/program_options.hpp>
#include <boost/variant.hpp>
#include <gudhi/Simplex_tree.h>
@@ -78,30 +79,23 @@ using Simplex_tree_vector_vertex = std::vector<Simplex_tree_vertex>;
using Persistent_cohomology =
Gudhi::persistent_cohomology::Persistent_cohomology<ST, Gudhi::persistent_cohomology::Field_Zp>;
-void usage(const std::string& progName) {
- std::cerr << "Usage: " << progName
- << " path_to_the_OFF_file coeff_field_characteristic[integer > 0] min_persistence[float >= -1.0]\n";
- exit(-1);
-}
+void program_options(int argc, char *argv[], std::string &off_file_points, std::string &output_file_diag,
+ int &coeff_field_characteristic, Filtration_value &min_persistence);
-int main(int argc, char* const argv[]) {
- // program args management
- if (argc != 4) {
- std::cerr << "Error: Number of arguments (" << argc << ") is not correct\n";
- usage(argv[0]);
- }
+int main(int argc, char **argv) {
+ std::string off_file_points;
+ std::string output_file_diag;
+ int coeff_field_characteristic;
+ Filtration_value min_persistence;
- int coeff_field_characteristic = atoi(argv[2]);
- Filtration_value min_persistence = strtof(argv[3], nullptr);
+ program_options(argc, argv, off_file_points, output_file_diag, coeff_field_characteristic, min_persistence);
- // Read points from file
- std::string offInputFile(argv[1]);
// Read the OFF file (input file name given as parameter) and triangulate points
- Gudhi::Points_3D_off_reader<Point_3> off_reader(offInputFile);
+ Gudhi::Points_3D_off_reader<Point_3> off_reader(off_file_points);
// Check the read operation was correct
if (!off_reader.is_valid()) {
- std::cerr << "Unable to read file " << offInputFile << std::endl;
- usage(argv[0]);
+ std::cerr << "Unable to read file " << off_file_points << std::endl;
+ exit(-1);
}
// Retrieve the triangulation
@@ -231,7 +225,58 @@ int main(int argc, char* const argv[]) {
pcoh.compute_persistent_cohomology(min_persistence);
- pcoh.output_diagram();
+ // Output the diagram in filediag
+ if (output_file_diag.empty()) {
+ pcoh.output_diagram();
+ } else {
+ std::cout << "Result in file: " << output_file_diag << std::endl;
+ std::ofstream out(output_file_diag);
+ pcoh.output_diagram(out);
+ out.close();
+ }
return 0;
}
+
+void program_options(int argc, char *argv[], std::string &off_file_points, std::string &output_file_diag,
+ int &coeff_field_characteristic, Filtration_value &min_persistence) {
+ namespace po = boost::program_options;
+ po::options_description hidden("Hidden options");
+ hidden.add_options()("input-file", po::value<std::string>(&off_file_points),
+ "Name of file containing a point set. Format is one point per line: X1 ... Xd ");
+
+ po::options_description visible("Allowed options", 100);
+ visible.add_options()("help,h", "produce help message")(
+ "output-file,o", po::value<std::string>(&output_file_diag)->default_value(std::string()),
+ "Name of file in which the persistence diagram is written. Default print in std::cout")(
+ "field-charac,p", po::value<int>(&coeff_field_characteristic)->default_value(11),
+ "Characteristic p of the coefficient field Z/pZ for computing homology.")(
+ "min-persistence,m", po::value<Filtration_value>(&min_persistence),
+ "Minimal lifetime of homology feature to be recorded. Default is 0. Enter a negative value to see zero length "
+ "intervals");
+
+ po::positional_options_description pos;
+ pos.add("input-file", 1);
+
+ po::options_description all;
+ all.add(visible).add(hidden);
+
+ po::variables_map vm;
+ po::store(po::command_line_parser(argc, argv).options(all).positional(pos).run(), vm);
+ po::notify(vm);
+
+ if (vm.count("help") || !vm.count("input-file")) {
+ std::cout << std::endl;
+ std::cout << "Compute the persistent homology with coefficient field Z/pZ \n";
+ std::cout << "of a 3D Alpha complex defined on a set of input points.\n \n";
+ std::cout << "The output diagram contains one bar per line, written with the convention: \n";
+ std::cout << " p dim b d \n";
+ std::cout << "where dim is the dimension of the homological feature,\n";
+ std::cout << "b and d are respectively the birth and death of the feature and \n";
+ std::cout << "p is the characteristic of the field Z/pZ used for homology coefficients." << std::endl << std::endl;
+
+ std::cout << "Usage: " << argv[0] << " [options] input-file" << std::endl << std::endl;
+ std::cout << visible << std::endl;
+ std::abort();
+ }
+}
diff --git a/src/Persistent_cohomology/example/periodic_alpha_complex_3d_persistence.cpp b/src/Alpha_complex/utilities/periodic_alpha_complex_3d_persistence.cpp
index c6d3e236..186a58f8 100644
--- a/src/Persistent_cohomology/example/periodic_alpha_complex_3d_persistence.cpp
+++ b/src/Alpha_complex/utilities/periodic_alpha_complex_3d_persistence.cpp
@@ -20,6 +20,7 @@
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
+#include <boost/program_options.hpp>
#include <boost/variant.hpp>
#include <gudhi/Simplex_tree.h>
@@ -83,40 +84,35 @@ using Simplex_tree_vector_vertex = std::vector<Simplex_tree_vertex>;
using Persistent_cohomology =
Gudhi::persistent_cohomology::Persistent_cohomology<ST, Gudhi::persistent_cohomology::Field_Zp>;
-void usage(const std::string& progName) {
- std::cerr << "Usage: " << progName << " path_to_the_OFF_file path_to_iso_cuboid_3_file "
- "coeff_field_characteristic[integer > 0] min_persistence[float >= -1.0]\n";
- exit(-1);
-}
+void program_options(int argc, char *argv[], std::string &off_file_points, std::string &cuboid_file,
+ std::string &output_file_diag, int &coeff_field_characteristic, Filtration_value &min_persistence);
-int main(int argc, char* const argv[]) {
- // program args management
- if (argc != 5) {
- std::cerr << "Error: Number of arguments (" << argc << ") is not correct\n";
- usage(argv[0]);
- }
+int main(int argc, char **argv) {
+ std::string off_file_points;
+ std::string cuboid_file;
+ std::string output_file_diag;
+ int coeff_field_characteristic;
+ Filtration_value min_persistence;
- int coeff_field_characteristic = atoi(argv[3]);
- Filtration_value min_persistence = strtof(argv[4], nullptr);
+ program_options(argc, argv, off_file_points, cuboid_file, output_file_diag, coeff_field_characteristic,
+ min_persistence);
- // Read points from file
- std::string offInputFile(argv[1]);
// Read the OFF file (input file name given as parameter) and triangulate points
- Gudhi::Points_3D_off_reader<Point_3> off_reader(offInputFile);
+ Gudhi::Points_3D_off_reader<Point_3> off_reader(off_file_points);
// Check the read operation was correct
if (!off_reader.is_valid()) {
- std::cerr << "Unable to read file " << offInputFile << std::endl;
- usage(argv[0]);
+ std::cerr << "Unable to read OFF file " << off_file_points << std::endl;
+ exit(-1);
}
// Read iso_cuboid_3 information from file
- std::ifstream iso_cuboid_str(argv[2]);
+ std::ifstream iso_cuboid_str(cuboid_file);
double x_min, y_min, z_min, x_max, y_max, z_max;
if (iso_cuboid_str.good()) {
iso_cuboid_str >> x_min >> y_min >> z_min >> x_max >> y_max >> z_max;
} else {
- std::cerr << "Unable to read file " << argv[2] << std::endl;
- usage(argv[0]);
+ std::cerr << "Unable to read file " << cuboid_file << std::endl;
+ exit(-1);
}
// Retrieve the triangulation
@@ -251,7 +247,62 @@ int main(int argc, char* const argv[]) {
pcoh.compute_persistent_cohomology(min_persistence);
- pcoh.output_diagram();
+ // Output the diagram in filediag
+ if (output_file_diag.empty()) {
+ pcoh.output_diagram();
+ } else {
+ std::cout << "Result in file: " << output_file_diag << std::endl;
+ std::ofstream out(output_file_diag);
+ pcoh.output_diagram(out);
+ out.close();
+ }
return 0;
}
+
+void program_options(int argc, char *argv[], std::string &off_file_points, std::string &cuboid_file,
+ std::string &output_file_diag, int &coeff_field_characteristic,
+ Filtration_value &min_persistence) {
+ namespace po = boost::program_options;
+ po::options_description hidden("Hidden options");
+ hidden.add_options()("input-file", po::value<std::string>(&off_file_points),
+ "Name of file containing a point set. Format is one point per line: X1 ... Xd ")(
+ "cuboid-file", po::value<std::string>(&cuboid_file),
+ "Name of file describing the periodic domain. Format is: min_hx min_hy min_hz\nmax_hx max_hy max_hz");
+
+ po::options_description visible("Allowed options", 100);
+ visible.add_options()("help,h", "produce help message")(
+ "output-file,o", po::value<std::string>(&output_file_diag)->default_value(std::string()),
+ "Name of file in which the persistence diagram is written. Default print in std::cout")(
+ "field-charac,p", po::value<int>(&coeff_field_characteristic)->default_value(11),
+ "Characteristic p of the coefficient field Z/pZ for computing homology.")(
+ "min-persistence,m", po::value<Filtration_value>(&min_persistence),
+ "Minimal lifetime of homology feature to be recorded. Default is 0. Enter a negative value to see zero length "
+ "intervals");
+
+ po::positional_options_description pos;
+ pos.add("input-file", 1);
+ pos.add("cuboid-file", 2);
+
+ po::options_description all;
+ all.add(visible).add(hidden);
+
+ po::variables_map vm;
+ po::store(po::command_line_parser(argc, argv).options(all).positional(pos).run(), vm);
+ po::notify(vm);
+
+ if (vm.count("help") || !vm.count("input-file") || !vm.count("cuboid-file")) {
+ std::cout << std::endl;
+ std::cout << "Compute the persistent homology with coefficient field Z/pZ \n";
+ std::cout << "of a periodic 3D Alpha complex defined on a set of input points.\n \n";
+ std::cout << "The output diagram contains one bar per line, written with the convention: \n";
+ std::cout << " p dim b d \n";
+ std::cout << "where dim is the dimension of the homological feature,\n";
+ std::cout << "b and d are respectively the birth and death of the feature and \n";
+ std::cout << "p is the characteristic of the field Z/pZ used for homology coefficients." << std::endl << std::endl;
+
+ std::cout << "Usage: " << argv[0] << " [options] input-file cuboid-file" << std::endl << std::endl;
+ std::cout << visible << std::endl;
+ std::abort();
+ }
+}
diff --git a/src/Persistent_cohomology/example/weighted_alpha_complex_3d_persistence.cpp b/src/Alpha_complex/utilities/weighted_alpha_complex_3d_persistence.cpp
index 249a7ece..0e73a99b 100644
--- a/src/Persistent_cohomology/example/weighted_alpha_complex_3d_persistence.cpp
+++ b/src/Alpha_complex/utilities/weighted_alpha_complex_3d_persistence.cpp
@@ -20,6 +20,7 @@
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
+#include <boost/program_options.hpp>
#include <boost/variant.hpp>
#include <gudhi/Simplex_tree.h>
@@ -103,37 +104,32 @@ using Simplex_tree_vector_vertex = std::vector<Simplex_tree_vertex>;
using Persistent_cohomology =
Gudhi::persistent_cohomology::Persistent_cohomology<ST, Gudhi::persistent_cohomology::Field_Zp>;
-void usage(const std::string& progName) {
- std::cerr << "Usage: " << progName << " path_to_the_OFF_file path_to_weight_file coeff_field_characteristic[integer > "
- "0] min_persistence[float >= -1.0]\n";
- exit(-1);
-}
+void program_options(int argc, char *argv[], std::string &off_file_points, std::string &weight_file,
+ std::string &output_file_diag, int &coeff_field_characteristic, Filtration_value &min_persistence);
-int main(int argc, char* const argv[]) {
- // program args management
- if (argc != 5) {
- std::cerr << "Error: Number of arguments (" << argc << ") is not correct\n";
- usage(argv[0]);
- }
+int main(int argc, char **argv) {
+ std::string off_file_points;
+ std::string weight_file;
+ std::string output_file_diag;
+ int coeff_field_characteristic;
+ Filtration_value min_persistence;
- int coeff_field_characteristic = atoi(argv[3]);
- Filtration_value min_persistence = strtof(argv[4], nullptr);
+ program_options(argc, argv, off_file_points, weight_file, output_file_diag, coeff_field_characteristic,
+ min_persistence);
- // Read points from file
- std::string offInputFile(argv[1]);
// Read the OFF file (input file name given as parameter) and triangulate points
- Gudhi::Points_3D_off_reader<Point_3> off_reader(offInputFile);
+ Gudhi::Points_3D_off_reader<Point_3> off_reader(off_file_points);
// Check the read operation was correct
if (!off_reader.is_valid()) {
- std::cerr << "Unable to read file " << offInputFile << std::endl;
- usage(argv[0]);
+ std::cerr << "Unable to read OFF file " << off_file_points << std::endl;
+ exit(-1);
}
// Retrieve the triangulation
std::vector<Point_3> lp = off_reader.get_point_cloud();
// Read weights information from file
- std::ifstream weights_ifstr(argv[2]);
+ std::ifstream weights_ifstr(weight_file);
std::vector<Weighted_point_3> wp;
if (weights_ifstr.good()) {
double weight = 0.0;
@@ -145,12 +141,12 @@ int main(int argc, char* const argv[]) {
index++;
}
if (index != lp.size()) {
- std::cerr << "Bad number of weights in file " << argv[2] << std::endl;
- usage(argv[0]);
+ std::cerr << "Bad number of weights in file " << weight_file << std::endl;
+ exit(-1);
}
} else {
- std::cerr << "Unable to read file " << argv[2] << std::endl;
- usage(argv[0]);
+ std::cerr << "Unable to read weights file " << weight_file << std::endl;
+ exit(-1);
}
// alpha shape construction from points. CGAL has a strange behavior in REGULARIZED mode.
@@ -276,7 +272,62 @@ int main(int argc, char* const argv[]) {
pcoh.compute_persistent_cohomology(min_persistence);
- pcoh.output_diagram();
+ // Output the diagram in filediag
+ if (output_file_diag.empty()) {
+ pcoh.output_diagram();
+ } else {
+ std::cout << "Result in file: " << output_file_diag << std::endl;
+ std::ofstream out(output_file_diag);
+ pcoh.output_diagram(out);
+ out.close();
+ }
return 0;
}
+
+void program_options(int argc, char *argv[], std::string &off_file_points, std::string &weight_file,
+ std::string &output_file_diag, int &coeff_field_characteristic,
+ Filtration_value &min_persistence) {
+ namespace po = boost::program_options;
+ po::options_description hidden("Hidden options");
+ hidden.add_options()("input-file", po::value<std::string>(&off_file_points),
+ "Name of file containing a point set. Format is one point per line: X1 ... Xd ")(
+ "weight-file", po::value<std::string>(&weight_file),
+ "Name of file containing a point weights. Format is one weigt per line: W1\n...\nWn ");
+
+ po::options_description visible("Allowed options", 100);
+ visible.add_options()("help,h", "produce help message")(
+ "output-file,o", po::value<std::string>(&output_file_diag)->default_value(std::string()),
+ "Name of file in which the persistence diagram is written. Default print in std::cout")(
+ "field-charac,p", po::value<int>(&coeff_field_characteristic)->default_value(11),
+ "Characteristic p of the coefficient field Z/pZ for computing homology.")(
+ "min-persistence,m", po::value<Filtration_value>(&min_persistence),
+ "Minimal lifetime of homology feature to be recorded. Default is 0. Enter a negative value to see zero length "
+ "intervals");
+
+ po::positional_options_description pos;
+ pos.add("input-file", 1);
+ pos.add("weight-file", 2);
+
+ po::options_description all;
+ all.add(visible).add(hidden);
+
+ po::variables_map vm;
+ po::store(po::command_line_parser(argc, argv).options(all).positional(pos).run(), vm);
+ po::notify(vm);
+
+ if (vm.count("help") || !vm.count("input-file") || !vm.count("weight-file")) {
+ std::cout << std::endl;
+ std::cout << "Compute the persistent homology with coefficient field Z/pZ \n";
+ std::cout << "of a weighted 3D Alpha complex defined on a set of input points.\n \n";
+ std::cout << "The output diagram contains one bar per line, written with the convention: \n";
+ std::cout << " p dim b d \n";
+ std::cout << "where dim is the dimension of the homological feature,\n";
+ std::cout << "b and d are respectively the birth and death of the feature and \n";
+ std::cout << "p is the characteristic of the field Z/pZ used for homology coefficients." << std::endl << std::endl;
+
+ std::cout << "Usage: " << argv[0] << " [options] input-file weight-file" << std::endl << std::endl;
+ std::cout << visible << std::endl;
+ std::abort();
+ }
+}
diff --git a/src/Persistent_cohomology/example/weighted_periodic_alpha_complex_3d_persistence.cpp b/src/Alpha_complex/utilities/weighted_periodic_alpha_complex_3d_persistence.cpp
index 13634ff7..13634ff7 100644
--- a/src/Persistent_cohomology/example/weighted_periodic_alpha_complex_3d_persistence.cpp
+++ b/src/Alpha_complex/utilities/weighted_periodic_alpha_complex_3d_persistence.cpp
diff --git a/src/Bitmap_cubical_complex/doc/Gudhi_Cubical_Complex_doc.h b/src/Bitmap_cubical_complex/doc/Gudhi_Cubical_Complex_doc.h
index 5963caa3..daba15a4 100644
--- a/src/Bitmap_cubical_complex/doc/Gudhi_Cubical_Complex_doc.h
+++ b/src/Bitmap_cubical_complex/doc/Gudhi_Cubical_Complex_doc.h
@@ -144,7 +144,7 @@ namespace cubical_complex {
* Indicate that we have imposed periodic boundary conditions in the direction x, but not in the direction y.
* \section BitmapExamples Examples
- * End user programs are available in example/Bitmap_cubical_complex folder.
+ * End user programs are available in example/Bitmap_cubical_complex and utilities/Bitmap_cubical_complex folders.
*
* \copyright GNU General Public License v3.
*/
diff --git a/src/Bitmap_cubical_complex/example/CMakeLists.txt b/src/Bitmap_cubical_complex/example/CMakeLists.txt
index a0401619..99304aa4 100644
--- a/src/Bitmap_cubical_complex/example/CMakeLists.txt
+++ b/src/Bitmap_cubical_complex/example/CMakeLists.txt
@@ -1,17 +1,6 @@
cmake_minimum_required(VERSION 2.6)
project(Bitmap_cubical_complex_examples)
-add_executable ( Bitmap_cubical_complex Bitmap_cubical_complex.cpp )
-if (TBB_FOUND)
- target_link_libraries(Bitmap_cubical_complex ${TBB_LIBRARIES})
-endif()
-
-add_test(NAME Bitmap_cubical_complex_example_persistence_one_sphere COMMAND $<TARGET_FILE:Bitmap_cubical_complex>
- "${CMAKE_SOURCE_DIR}/data/bitmap/CubicalOneSphere.txt")
-
-add_test(NAME Bitmap_cubical_complex_example_persistence_two_sphere COMMAND $<TARGET_FILE:Bitmap_cubical_complex>
- "${CMAKE_SOURCE_DIR}/data/bitmap/CubicalTwoSphere.txt")
-
add_executable ( Random_bitmap_cubical_complex Random_bitmap_cubical_complex.cpp )
if (TBB_FOUND)
target_link_libraries(Random_bitmap_cubical_complex ${TBB_LIBRARIES})
@@ -19,19 +8,4 @@ endif()
add_test(NAME Bitmap_cubical_complex_example_random COMMAND $<TARGET_FILE:Random_bitmap_cubical_complex>
"2" "100" "100")
-add_executable ( Bitmap_cubical_complex_periodic_boundary_conditions Bitmap_cubical_complex_periodic_boundary_conditions.cpp )
-if (TBB_FOUND)
- target_link_libraries(Bitmap_cubical_complex_periodic_boundary_conditions ${TBB_LIBRARIES})
-endif()
-
-add_test(NAME Bitmap_cubical_complex_example_periodic_boundary_conditions_2d_torus
- COMMAND $<TARGET_FILE:Bitmap_cubical_complex_periodic_boundary_conditions>
- "${CMAKE_SOURCE_DIR}/data/bitmap/2d_torus.txt")
-
-add_test(NAME Bitmap_cubical_complex_example_periodic_boundary_conditions_3d_torus
- COMMAND $<TARGET_FILE:Bitmap_cubical_complex_periodic_boundary_conditions>
- "${CMAKE_SOURCE_DIR}/data/bitmap/3d_torus.txt")
-
-install(TARGETS Bitmap_cubical_complex DESTINATION bin)
install(TARGETS Random_bitmap_cubical_complex DESTINATION bin)
-install(TARGETS Bitmap_cubical_complex_periodic_boundary_conditions DESTINATION bin)
diff --git a/src/Bitmap_cubical_complex/example/Bitmap_cubical_complex.cpp b/src/Bitmap_cubical_complex/utilities/Bitmap_cubical_complex.cpp
index 9d1bc08c..9d1bc08c 100644
--- a/src/Bitmap_cubical_complex/example/Bitmap_cubical_complex.cpp
+++ b/src/Bitmap_cubical_complex/utilities/Bitmap_cubical_complex.cpp
diff --git a/src/Bitmap_cubical_complex/example/Bitmap_cubical_complex_periodic_boundary_conditions.cpp b/src/Bitmap_cubical_complex/utilities/Bitmap_cubical_complex_periodic_boundary_conditions.cpp
index c812cb3a..c812cb3a 100644
--- a/src/Bitmap_cubical_complex/example/Bitmap_cubical_complex_periodic_boundary_conditions.cpp
+++ b/src/Bitmap_cubical_complex/utilities/Bitmap_cubical_complex_periodic_boundary_conditions.cpp
diff --git a/src/Bitmap_cubical_complex/utilities/CMakeLists.txt b/src/Bitmap_cubical_complex/utilities/CMakeLists.txt
new file mode 100644
index 00000000..f0f80059
--- /dev/null
+++ b/src/Bitmap_cubical_complex/utilities/CMakeLists.txt
@@ -0,0 +1,29 @@
+cmake_minimum_required(VERSION 2.6)
+project(Bitmap_cubical_complex_utilities)
+
+add_executable ( Bitmap_cubical_complex Bitmap_cubical_complex.cpp )
+if (TBB_FOUND)
+ target_link_libraries(Bitmap_cubical_complex ${TBB_LIBRARIES})
+endif()
+
+add_test(NAME Bitmap_cubical_complex_utility_persistence_one_sphere COMMAND $<TARGET_FILE:Bitmap_cubical_complex>
+ "${CMAKE_SOURCE_DIR}/data/bitmap/CubicalOneSphere.txt")
+
+add_test(NAME Bitmap_cubical_complex_utility_persistence_two_sphere COMMAND $<TARGET_FILE:Bitmap_cubical_complex>
+ "${CMAKE_SOURCE_DIR}/data/bitmap/CubicalTwoSphere.txt")
+
+add_executable ( Bitmap_cubical_complex_periodic_boundary_conditions Bitmap_cubical_complex_periodic_boundary_conditions.cpp )
+if (TBB_FOUND)
+ target_link_libraries(Bitmap_cubical_complex_periodic_boundary_conditions ${TBB_LIBRARIES})
+endif()
+
+add_test(NAME Bitmap_cubical_complex_utility_periodic_boundary_conditions_2d_torus
+ COMMAND $<TARGET_FILE:Bitmap_cubical_complex_periodic_boundary_conditions>
+ "${CMAKE_SOURCE_DIR}/data/bitmap/2d_torus.txt")
+
+add_test(NAME Bitmap_cubical_complex_utility_periodic_boundary_conditions_3d_torus
+ COMMAND $<TARGET_FILE:Bitmap_cubical_complex_periodic_boundary_conditions>
+ "${CMAKE_SOURCE_DIR}/data/bitmap/3d_torus.txt")
+
+install(TARGETS Bitmap_cubical_complex DESTINATION bin)
+install(TARGETS Bitmap_cubical_complex_periodic_boundary_conditions DESTINATION bin)
diff --git a/src/Bitmap_cubical_complex/utilities/README b/src/Bitmap_cubical_complex/utilities/README
new file mode 100644
index 00000000..d9085635
--- /dev/null
+++ b/src/Bitmap_cubical_complex/utilities/README
@@ -0,0 +1,24 @@
+# Bitmap_cubical_complex #
+
+## `Bitmap_cubical_complex` ##
+This program computes persistent homology, by using the Bitmap_cubical_complex class, of cubical complexes provided in text files in Perseus style. The only number in the first line is a dimension D of a bitmap. In the lines I between 2 and D+1 there are numbers of top dimensional cells in the direction I. Let N denote product of the numbers in the lines between 2 and D. In the lines D+2 to D+2+N there are filtrations of top dimensional cells. We assume that the cells are in the lexicographical order.
+
+Examples:
+
+* Create a Cubical Complex from the Perseus style file CubicalOneSphere.txt, computes Persistence cohomology from it and writes the results in a persistence file:
+`Bitmap_cubical_complex data/bitmap/CubicalOneSphere.txt`
+
+* Create a Cubical Complex from the Perseus style file CubicalTwoSphere.txt, computes Persistence cohomology from it and writes the results in a persistence file:
+`Bitmap_cubical_complex data/bitmap/CubicalTwoSphere.txt`
+
+## `Bitmap_cubical_complex_periodic_boundary_conditions` ##
+
+Same as above, but with periodic boundary conditions.
+
+Examples:
+
+* Create a Periodical Cubical Complex from the Perseus style file 2d_torus.txt, computes Persistence cohomology from it and writes the results in a persistence file:
+`Bitmap_cubical_complex_periodic_boundary_conditions.exe data/bitmap/2d_torus.txt`
+
+* Create a Periodical Cubical Complex from the Perseus style file 3d_torus.txt, computes Persistence cohomology from it and writes the results in a persistence file:
+`Bitmap_cubical_complex_periodic_boundary_conditions.exe data/bitmap/3d_torus.txt`
diff --git a/src/Bottleneck_distance/example/CMakeLists.txt b/src/Bottleneck_distance/example/CMakeLists.txt
index eac617db..6095d6eb 100644
--- a/src/Bottleneck_distance/example/CMakeLists.txt
+++ b/src/Bottleneck_distance/example/CMakeLists.txt
@@ -2,37 +2,21 @@ cmake_minimum_required(VERSION 2.6)
project(Bottleneck_distance_examples)
if (NOT CGAL_VERSION VERSION_LESS 4.8.1)
- add_executable (bottleneck_read_file_example bottleneck_read_file_example.cpp)
add_executable (bottleneck_basic_example bottleneck_basic_example.cpp)
+ add_executable (alpha_rips_persistence_bottleneck_distance alpha_rips_persistence_bottleneck_distance.cpp)
+ target_link_libraries(alpha_rips_persistence_bottleneck_distance ${Boost_PROGRAM_OPTIONS_LIBRARY})
if (TBB_FOUND)
- target_link_libraries(bottleneck_read_file_example ${TBB_LIBRARIES})
+ target_link_libraries(alpha_rips_persistence_bottleneck_distance ${TBB_LIBRARIES})
target_link_libraries(bottleneck_basic_example ${TBB_LIBRARIES})
endif(TBB_FOUND)
-
+
add_test(NAME Bottleneck_distance_example_basic COMMAND $<TARGET_FILE:bottleneck_basic_example>)
-
- add_test(NAME Bottleneck_read_file_example
- COMMAND $<TARGET_FILE:bottleneck_read_file_example>
- "${CMAKE_SOURCE_DIR}/data/persistence_diagram/first.pers" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/second.pers")
-
- install(TARGETS bottleneck_read_file_example DESTINATION bin)
- install(TARGETS bottleneck_basic_example DESTINATION bin)
-
-endif (NOT CGAL_VERSION VERSION_LESS 4.8.1)
-
-# Eigen3 and CGAL > 4.7.0 is required for alpha complex
-# CGAL > 4.8.1 is required for bottleneck distance =>
-if (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.8.1)
- add_executable (alpha_rips_persistence_bottleneck_distance alpha_rips_persistence_bottleneck_distance.cpp)
- target_link_libraries(alpha_rips_persistence_bottleneck_distance ${Boost_PROGRAM_OPTIONS_LIBRARY})
-
add_test(NAME Bottleneck_distance_example_alpha_rips_persistence_bottleneck
- COMMAND $<TARGET_FILE:alpha_rips_persistence_bottleneck_distance>
- "${CMAKE_SOURCE_DIR}/data/points/tore3D_1307.off" "-r" "0.15" "-m" "0.12" "-d" "3" "-p" "3")
+ COMMAND $<TARGET_FILE:alpha_rips_persistence_bottleneck_distance>
+ "${CMAKE_SOURCE_DIR}/data/points/tore3D_1307.off" "-r" "0.15" "-m" "0.12" "-d" "3" "-p" "3")
+ install(TARGETS bottleneck_basic_example DESTINATION bin)
install(TARGETS alpha_rips_persistence_bottleneck_distance DESTINATION bin)
- if (TBB_FOUND)
- target_link_libraries(alpha_rips_persistence_bottleneck_distance ${TBB_LIBRARIES})
- endif(TBB_FOUND)
-endif (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.8.1)
+
+endif (NOT CGAL_VERSION VERSION_LESS 4.8.1)
diff --git a/src/Bottleneck_distance/example/README b/src/Bottleneck_distance/example/README
new file mode 100644
index 00000000..0e314608
--- /dev/null
+++ b/src/Bottleneck_distance/example/README
@@ -0,0 +1,19 @@
+# Bottleneck_distance #
+
+## `alpha_rips_persistence_bottleneck_distance` ##
+This program computes the persistent homology with coefficient field Z/pZ of a Rips complex defined on a set of input points. The output diagram contains one bar per line, written with the convention:
+
+`p dim b d`
+
+where `dim` is the dimension of the homological feature, `b` and `d` are respectively the birth and death of the feature, and `p` is the characteristic of the field *Z/pZ* used for homology coefficients.
+
+Usage:
+`alpha_rips_persistence_bottleneck_distance [options] <OFF input file>`
+
+Allowed options:
+
+* `-h [ --help ]` Produce help message
+* `-r [ --max-edge-length ]` (default = inf) Maximal length of an edge for the Rips complex construction.`
+* `-d [ --cpx-dimension ]` (default = 1) Maximal dimension of the Rips complex we want to compute.`
+* `-p [ --field-charac ]` (default = 11) Characteristic p of the coefficient field Z/pZ for computing homology.
+* `-m [ --min-persistence ]` (default = 0) Minimal lifetime of homology feature to be recorded. Enter a negative value to see zero length intervals.
diff --git a/src/Bottleneck_distance/utilities/CMakeLists.txt b/src/Bottleneck_distance/utilities/CMakeLists.txt
new file mode 100644
index 00000000..063b6ae3
--- /dev/null
+++ b/src/Bottleneck_distance/utilities/CMakeLists.txt
@@ -0,0 +1,16 @@
+cmake_minimum_required(VERSION 2.6)
+project(Bottleneck_distance_utilities)
+
+if (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.8.1)
+ add_executable (bottleneck_read_file bottleneck_read_file.cpp)
+ if (TBB_FOUND)
+ target_link_libraries(bottleneck_read_file ${TBB_LIBRARIES})
+ endif(TBB_FOUND)
+
+ add_test(NAME Bottleneck_distance_utilities_Bottleneck_read_file
+ COMMAND $<TARGET_FILE:bottleneck_read_file>
+ "${CMAKE_SOURCE_DIR}/data/persistence_diagram/first.pers" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/second.pers")
+
+ install(TARGETS bottleneck_read_file DESTINATION bin)
+
+endif (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.8.1)
diff --git a/src/Bottleneck_distance/utilities/README b/src/Bottleneck_distance/utilities/README
new file mode 100644
index 00000000..d9fdd252
--- /dev/null
+++ b/src/Bottleneck_distance/utilities/README
@@ -0,0 +1,10 @@
+# Bottleneck_distance #
+
+## `bottleneck_read_file_example` ##
+This program computes the Bottleneck distance between two persistence diagram files.
+
+Usage:
+`bottleneck_read_file_example <file_1.pers> <file_2.pers> [<tolerance>]`
+where
+`<file_1.pers>` and `<file_2.pers>` must be in the format described [here](http://gudhi.gforge.inria.fr/doc/latest/fileformats.html#FileFormatsPers).
+`<tolerance>` is an error bound on the bottleneck distance (set by default to the smallest positive double value).
diff --git a/src/Bottleneck_distance/example/bottleneck_read_file_example.cpp b/src/Bottleneck_distance/utilities/bottleneck_read_file.cpp
index 24d73c57..9dd52b31 100644
--- a/src/Bottleneck_distance/example/bottleneck_read_file_example.cpp
+++ b/src/Bottleneck_distance/utilities/bottleneck_read_file.cpp
@@ -31,7 +31,7 @@
int main(int argc, char** argv) {
if (argc < 3) {
std::cout << "To run this program please provide as an input two files with persistence diagrams. Each file" <<
- " should contain a birth-death pair per line. Third, optional parameter is an error bound on a bottleneck" <<
+ " should contain a birth-death pair per line. Third, optional parameter is an error bound on the bottleneck" <<
" distance (set by default to the smallest positive double value). If you set the error bound to 0, be" <<
" aware this version is exact but expensive. The program will now terminate \n";
return -1;
diff --git a/src/Contraction/example/CMakeLists.txt b/src/Contraction/example/CMakeLists.txt
index 83594c0e..a92d1685 100644
--- a/src/Contraction/example/CMakeLists.txt
+++ b/src/Contraction/example/CMakeLists.txt
@@ -1,9 +1,10 @@
cmake_minimum_required(VERSION 2.6)
project(Contraction_examples)
-
add_executable(RipsContraction Rips_contraction.cpp)
+
add_executable(GarlandHeckbert Garland_heckbert.cpp)
+target_link_libraries(GarlandHeckbert ${Boost_TIMER_LIBRARY})
add_test(NAME Contraction_example_tore3D_0.2 COMMAND $<TARGET_FILE:RipsContraction>
"${CMAKE_SOURCE_DIR}/data/points/tore3D_1307.off" "0.2")
diff --git a/src/Contraction/example/Garland_heckbert.cpp b/src/Contraction/example/Garland_heckbert.cpp
index f0cde95e..2b0dc973 100644
--- a/src/Contraction/example/Garland_heckbert.cpp
+++ b/src/Contraction/example/Garland_heckbert.cpp
@@ -29,7 +29,6 @@
#include <gudhi/Edge_contraction.h>
#include <gudhi/Skeleton_blocker.h>
#include <gudhi/Off_reader.h>
-#include <gudhi/Clock.h>
#include <iostream>
@@ -165,8 +164,6 @@ int main(int argc, char *argv[]) {
int num_contractions = atoi(argv[3]);
- Gudhi::Clock contraction_chrono("Time to simplify and enumerate simplices");
-
// constructs the contractor object with Garland Heckbert policies.
Complex_contractor contractor(complex,
new GH_cost(complex),
@@ -182,8 +179,6 @@ int main(int argc, char *argv[]) {
complex.num_edges() << " edges and " <<
complex.num_triangles() << " triangles." << std::endl;
- std::cout << contraction_chrono;
-
// write simplified complex
Gudhi::skeleton_blocker::Skeleton_blocker_off_writer<Complex> off_writer(argv[2], complex);
diff --git a/src/Doxyfile b/src/Doxyfile
index 1eb099e5..39dcad7b 100644
--- a/src/Doxyfile
+++ b/src/Doxyfile
@@ -819,7 +819,8 @@ EXCLUDE_SYMBOLS =
# command).
EXAMPLE_PATH = biblio/ \
- example/
+ example/ \
+ utilities/
# If the value of the EXAMPLE_PATH tag contains directories, you can use the
# EXAMPLE_PATTERNS tag to specify one or more wildcard pattern (like *.cpp and
diff --git a/src/Persistent_cohomology/doc/Intro_persistent_cohomology.h b/src/Persistent_cohomology/doc/Intro_persistent_cohomology.h
index 6400116b..62bbbfc5 100644
--- a/src/Persistent_cohomology/doc/Intro_persistent_cohomology.h
+++ b/src/Persistent_cohomology/doc/Intro_persistent_cohomology.h
@@ -143,8 +143,8 @@ namespace persistent_cohomology {
We provide several example files: run these examples with -h for details on their use, and read the README file.
-\li <a href="_persistent_cohomology_2rips_persistence_8cpp-example.html">
-Persistent_cohomology/rips_persistence.cpp</a> computes the Rips complex of a point cloud and outputs its persistence
+\li <a href="_rips_complex_2rips_persistence_8cpp-example.html">
+Rips_complex/rips_persistence.cpp</a> computes the Rips complex of a point cloud and outputs its persistence
diagram.
\code $> ./rips_persistence ../../data/points/tore3D_1307.off -r 0.25 -m 0.5 -d 3 -p 3 \endcode
\code The complex contains 177838 simplices
@@ -158,12 +158,12 @@ diagram.
Persistent_cohomology/rips_multifield_persistence.cpp</a> computes the Rips complex of a point cloud and outputs its
persistence diagram with a family of field coefficients.
-\li <a href="_persistent_cohomology_2rips_distance_matrix_persistence_8cpp-example.html">
-Persistent_cohomology/rips_distance_matrix_persistence.cpp</a> computes the Rips complex of a distance matrix and
+\li <a href="_rips_complex_2rips_distance_matrix_persistence_8cpp-example.html">
+Rips_complex/rips_distance_matrix_persistence.cpp</a> computes the Rips complex of a distance matrix and
outputs its persistence diagram.
-\li <a href="_persistent_cohomology_2alpha_complex_3d_persistence_8cpp-example.html">
-Persistent_cohomology/alpha_complex_3d_persistence.cpp</a> computes the persistent homology with
+\li <a href="_alpha_complex_2alpha_complex_3d_persistence_8cpp-example.html">
+Alpha_complex/alpha_complex_3d_persistence.cpp</a> computes the persistent homology with
\f$\mathbb{Z}/2\mathbb{Z}\f$ coefficients of the alpha complex on points sampling from an OFF file.
\code $> ./alpha_complex_3d_persistence ../../data/points/tore3D_300.off 2 0.45 \endcode
\code Simplex_tree dim: 3
@@ -172,8 +172,8 @@ Persistent_cohomology/alpha_complex_3d_persistence.cpp</a> computes the persiste
2 1 0.0934117 1.00003
2 2 0.56444 1.03938 \endcode
-\li <a href="_persistent_cohomology_2exact_alpha_complex_3d_persistence_8cpp-example.html">
-Persistent_cohomology/exact_alpha_complex_3d_persistence.cpp</a> computes the persistent homology with
+\li <a href="_alpha_complex_2exact_alpha_complex_3d_persistence_8cpp-example.html">
+Alpha_complex/exact_alpha_complex_3d_persistence.cpp</a> computes the persistent homology with
\f$\mathbb{Z}/2\mathbb{Z}\f$ coefficients of the alpha complex on points sampling from an OFF file.
Here, as CGAL computes the exact values, it is slower, but it is necessary when points are on a grid
for instance.
@@ -182,8 +182,8 @@ for instance.
2 0 0 inf
2 2 0.0002 0.2028 \endcode
-\li <a href="_persistent_cohomology_2weighted_alpha_complex_3d_persistence_8cpp-example.html">
-Persistent_cohomology/weighted_alpha_complex_3d_persistence.cpp</a> computes the persistent homology with
+\li <a href="_alpha_complex_2weighted_alpha_complex_3d_persistence_8cpp-example.html">
+Alpha_complex/weighted_alpha_complex_3d_persistence.cpp</a> computes the persistent homology with
\f$\mathbb{Z}/2\mathbb{Z}\f$ coefficients of the weighted alpha complex on points sampling from an OFF file
and a weights file.
\code $> ./weighted_alpha_complex_3d_persistence ../../data/points/tore3D_300.off
@@ -194,8 +194,8 @@ and a weights file.
2 1 -0.906588 2.60165e-05
2 2 -0.43556 0.0393798 \endcode
-\li <a href="_persistent_cohomology_2alpha_complex_persistence_8cpp-example.html">
-Persistent_cohomology/alpha_complex_persistence.cpp</a> computes the persistent homology with
+\li <a href="_alpha_complex_2alpha_complex_persistence_8cpp-example.html">
+Alpha_complex/alpha_complex_persistence.cpp</a> computes the persistent homology with
\f$\mathbb{Z}/p\mathbb{Z}\f$ coefficients of the alpha complex on points sampling from an OFF file.
\code $> ./alpha_complex_persistence -r 32 -p 2 -m 0.45 ../../data/points/tore3D_300.off \endcode
\code Alpha complex is of dimension 3 - 9273 simplices - 300 vertices.
@@ -205,8 +205,8 @@ Simplex_tree dim: 3
2 1 0.0934117 1.00003
2 2 0.56444 1.03938 \endcode
-\li <a href="_persistent_cohomology_2periodic_alpha_complex_3d_persistence_8cpp-example.html">
-Persistent_cohomology/periodic_alpha_complex_3d_persistence.cpp</a> computes the persistent homology with
+\li <a href="_alpha_complex_2periodic_alpha_complex_3d_persistence_8cpp-example.html">
+Alpha_complex/periodic_alpha_complex_3d_persistence.cpp</a> computes the persistent homology with
\f$\mathbb{Z}/2\mathbb{Z}\f$ coefficients of the periodic alpha complex on points sampling from an OFF file.
\code $> ./periodic_alpha_complex_3d_persistence ../../data/points/grid_10_10_10_in_0_1.off
../../data/points/iso_cuboid_3_in_0_1.txt 3 1.0 \endcode
diff --git a/src/Persistent_cohomology/example/CMakeLists.txt b/src/Persistent_cohomology/example/CMakeLists.txt
index e82ef04c..18e2913b 100644
--- a/src/Persistent_cohomology/example/CMakeLists.txt
+++ b/src/Persistent_cohomology/example/CMakeLists.txt
@@ -5,12 +5,6 @@ add_executable(plain_homology plain_homology.cpp)
add_executable(persistence_from_simple_simplex_tree persistence_from_simple_simplex_tree.cpp)
-add_executable(rips_distance_matrix_persistence rips_distance_matrix_persistence.cpp)
-target_link_libraries(rips_distance_matrix_persistence ${Boost_PROGRAM_OPTIONS_LIBRARY})
-
-add_executable(rips_persistence rips_persistence.cpp)
-target_link_libraries(rips_persistence ${Boost_PROGRAM_OPTIONS_LIBRARY})
-
add_executable(rips_persistence_step_by_step rips_persistence_step_by_step.cpp)
target_link_libraries(rips_persistence_step_by_step ${Boost_PROGRAM_OPTIONS_LIBRARY})
@@ -23,8 +17,6 @@ target_link_libraries(persistence_from_file ${Boost_PROGRAM_OPTIONS_LIBRARY})
if (TBB_FOUND)
target_link_libraries(plain_homology ${TBB_LIBRARIES})
target_link_libraries(persistence_from_simple_simplex_tree ${TBB_LIBRARIES})
- target_link_libraries(rips_distance_matrix_persistence ${TBB_LIBRARIES})
- target_link_libraries(rips_persistence ${TBB_LIBRARIES})
target_link_libraries(rips_persistence_step_by_step ${TBB_LIBRARIES})
target_link_libraries(rips_persistence_via_boundary_matrix ${TBB_LIBRARIES})
target_link_libraries(persistence_from_file ${TBB_LIBRARIES})
@@ -33,10 +25,6 @@ endif()
add_test(NAME Persistent_cohomology_example_plain_homology COMMAND $<TARGET_FILE:plain_homology>)
add_test(NAME Persistent_cohomology_example_from_simple_simplex_tree COMMAND $<TARGET_FILE:persistence_from_simple_simplex_tree>
"1" "0")
-add_test(NAME Persistent_cohomology_example_from_rips_distance_matrix COMMAND $<TARGET_FILE:rips_distance_matrix_persistence>
- "${CMAKE_SOURCE_DIR}/data/distance_matrix/full_square_distance_matrix.csv" "-r" "1.0" "-d" "3" "-p" "3" "-m" "0")
-add_test(NAME Persistent_cohomology_example_from_rips_on_tore_3D COMMAND $<TARGET_FILE:rips_persistence>
- "${CMAKE_SOURCE_DIR}/data/points/tore3D_1307.off" "-r" "0.25" "-m" "0.5" "-d" "3" "-p" "3")
add_test(NAME Persistent_cohomology_example_from_rips_step_by_step_on_tore_3D COMMAND $<TARGET_FILE:rips_persistence_step_by_step>
"${CMAKE_SOURCE_DIR}/data/points/tore3D_1307.off" "-r" "0.25" "-m" "0.5" "-d" "3" "-p" "3")
add_test(NAME Persistent_cohomology_example_via_boundary_matrix COMMAND $<TARGET_FILE:rips_persistence_via_boundary_matrix>
@@ -48,8 +36,6 @@ add_test(NAME Persistent_cohomology_example_from_file_3_3_100 COMMAND $<TARGET_F
install(TARGETS plain_homology DESTINATION bin)
install(TARGETS persistence_from_simple_simplex_tree DESTINATION bin)
-install(TARGETS rips_distance_matrix_persistence DESTINATION bin)
-install(TARGETS rips_persistence DESTINATION bin)
install(TARGETS rips_persistence_step_by_step DESTINATION bin)
install(TARGETS rips_persistence_via_boundary_matrix DESTINATION bin)
install(TARGETS persistence_from_file DESTINATION bin)
@@ -69,75 +55,16 @@ if(GMP_FOUND)
endif(GMP_FOUND)
if(CGAL_FOUND)
- add_executable(alpha_complex_3d_persistence alpha_complex_3d_persistence.cpp)
- target_link_libraries(alpha_complex_3d_persistence ${CGAL_LIBRARY})
- add_executable(exact_alpha_complex_3d_persistence exact_alpha_complex_3d_persistence.cpp)
- target_link_libraries(exact_alpha_complex_3d_persistence ${CGAL_LIBRARY})
-
- if (TBB_FOUND)
- target_link_libraries(alpha_complex_3d_persistence ${TBB_LIBRARIES})
- target_link_libraries(exact_alpha_complex_3d_persistence ${TBB_LIBRARIES})
- endif(TBB_FOUND)
- add_test(NAME Persistent_cohomology_example_alpha_complex_3d COMMAND $<TARGET_FILE:alpha_complex_3d_persistence>
- "${CMAKE_SOURCE_DIR}/data/points/tore3D_300.off" "2" "0.45")
- add_test(NAME Persistent_cohomology_example_exact_alpha_complex_3d COMMAND $<TARGET_FILE:exact_alpha_complex_3d_persistence>
- "${CMAKE_SOURCE_DIR}/data/points/tore3D_300.off" "2" "0.45")
-
- install(TARGETS alpha_complex_3d_persistence DESTINATION bin)
- install(TARGETS exact_alpha_complex_3d_persistence DESTINATION bin)
-
if (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.7.0)
- add_executable (alpha_complex_persistence alpha_complex_persistence.cpp)
- target_link_libraries(alpha_complex_persistence
- ${CGAL_LIBRARY} ${Boost_PROGRAM_OPTIONS_LIBRARY})
-
- add_executable(periodic_alpha_complex_3d_persistence periodic_alpha_complex_3d_persistence.cpp)
- target_link_libraries(periodic_alpha_complex_3d_persistence ${CGAL_LIBRARY})
-
add_executable(custom_persistence_sort custom_persistence_sort.cpp)
target_link_libraries(custom_persistence_sort ${CGAL_LIBRARY})
if (TBB_FOUND)
- target_link_libraries(alpha_complex_persistence ${TBB_LIBRARIES})
- target_link_libraries(periodic_alpha_complex_3d_persistence ${TBB_LIBRARIES})
target_link_libraries(custom_persistence_sort ${TBB_LIBRARIES})
endif(TBB_FOUND)
- add_test(NAME Persistent_cohomology_example_alpha_complex COMMAND $<TARGET_FILE:alpha_complex_persistence>
- "${CMAKE_SOURCE_DIR}/data/points/tore3D_300.off" "-p" "2" "-m" "0.45")
- add_test(NAME Persistent_cohomology_example_periodic_alpha_complex_3d COMMAND $<TARGET_FILE:periodic_alpha_complex_3d_persistence>
- "${CMAKE_SOURCE_DIR}/data/points/grid_10_10_10_in_0_1.off" "${CMAKE_SOURCE_DIR}/data/points/iso_cuboid_3_in_0_1.txt" "3" "1.0")
add_test(NAME Persistent_cohomology_example_custom_persistence_sort COMMAND $<TARGET_FILE:custom_persistence_sort>)
- install(TARGETS alpha_complex_persistence DESTINATION bin)
- install(TARGETS periodic_alpha_complex_3d_persistence DESTINATION bin)
install(TARGETS custom_persistence_sort DESTINATION bin)
endif (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.7.0)
-
- if (NOT CGAL_VERSION VERSION_LESS 4.11.0)
- add_executable(weighted_periodic_alpha_complex_3d_persistence weighted_periodic_alpha_complex_3d_persistence.cpp)
- target_link_libraries(weighted_periodic_alpha_complex_3d_persistence ${CGAL_LIBRARY})
- if (TBB_FOUND)
- target_link_libraries(weighted_periodic_alpha_complex_3d_persistence ${TBB_LIBRARIES})
- endif(TBB_FOUND)
-
- add_test(NAME Persistent_cohomology_example_weigted_periodic_alpha_complex_3d COMMAND $<TARGET_FILE:weighted_periodic_alpha_complex_3d_persistence>
- "${CMAKE_SOURCE_DIR}/data/points/grid_10_10_10_in_0_1.off" "${CMAKE_SOURCE_DIR}/data/points/grid_10_10_10_in_0_1.weights"
- "${CMAKE_SOURCE_DIR}/data/points/iso_cuboid_3_in_0_1.txt" "3" "1.0")
-
- install(TARGETS weighted_periodic_alpha_complex_3d_persistence DESTINATION bin)
-
- endif (NOT CGAL_VERSION VERSION_LESS 4.11.0)
-
- add_executable(weighted_alpha_complex_3d_persistence weighted_alpha_complex_3d_persistence.cpp)
- target_link_libraries(weighted_alpha_complex_3d_persistence ${CGAL_LIBRARY})
- if (TBB_FOUND)
- target_link_libraries(weighted_alpha_complex_3d_persistence ${TBB_LIBRARIES})
- endif(TBB_FOUND)
-
- install(TARGETS weighted_alpha_complex_3d_persistence DESTINATION bin)
-
- add_test(NAME Persistent_cohomology_example_weighted_alpha_complex_3d COMMAND $<TARGET_FILE:weighted_alpha_complex_3d_persistence>
- "${CMAKE_SOURCE_DIR}/data/points/tore3D_300.off" "${CMAKE_SOURCE_DIR}/data/points/tore3D_300.weights" "2" "0.45")
-
endif(CGAL_FOUND)
diff --git a/src/Persistent_cohomology/example/README b/src/Persistent_cohomology/example/README
index 794b94ae..f39d9584 100644
--- a/src/Persistent_cohomology/example/README
+++ b/src/Persistent_cohomology/example/README
@@ -1,43 +1,14 @@
-To build the example, run in a Terminal:
+To build the examples, run in a Terminal:
-cd /path-to-example/
+cd /path-to-examples/
cmake .
make
***********************************************************************************************************************
Example of use of RIPS:
-Computation of the persistent homology with Z/2Z coefficients of the Rips complex on points
-sampling a Klein bottle:
-
-./rips_persistence ../../data/points/tore3D_1307.off -r 0.25 -m 0.5 -d 3 -p 2
-
-output:
-2 0 0 inf
-2 1 0.0983494 inf
-2 1 0.104347 inf
-2 2 0.138335 inf
-
-
-Every line is of this format: p1*...*pr dim b d
-where
- p1*...*pr is the product of prime numbers pi such that the homology feature exists in homology with Z/piZ coefficients.
- dim is the dimension of the homological feature,
- b and d are respectively the birth and death of the feature and
-
-
-
-with Z/3Z coefficients:
-
-./rips_persistence ../../data/points/tore3D_1307.off -r 0.25 -m 0.5 -d 3 -p 3
-
-output:
-3 0 0 inf
-3 1 0.0983494 inf
-3 1 0.104347 inf
-3 2 0.138335 inf
-
-and the computation with Z/2Z and Z/3Z coefficients simultaneously:
+Computation of the persistent homology with Z/2Z and Z/3Z coefficients simultaneously of the Rips complex
+on points sampling a 3D torus:
./rips_multifield_persistence ../../data/points/tore3D_1307.off -r 0.25 -m 0.12 -d 3 -p 2 -q 3
@@ -53,7 +24,13 @@ output:
6 0 0 0.12047
6 0 0 0.120414
-and finally the computation with all Z/pZ for 2 <= p <= 71 (20 first prime numbers):
+Every line is of this format: p1*...*pr dim b d
+where
+ p1*...*pr is the product of prime numbers pi such that the homology feature exists in homology with Z/piZ coefficients.
+ dim is the dimension of the homological feature,
+ b and d are respectively the birth and death of the feature and
+
+and the computation with all Z/pZ for 2 <= p <= 71 (20 first prime numbers):
./rips_multifield_persistence ../../data/points/Kl.off -r 0.25 -m 0.5 -d 3 -p 2 -q 71
@@ -70,82 +47,6 @@ output:
557940830126698960967415390 0 0 0.120414
***********************************************************************************************************************
-Example of use of ALPHA:
-
-For a more verbose mode, please run cmake with option "DEBUG_TRACES=TRUE" and recompile the programs.
-
-1) 3D special case
-------------------
-Computation of the persistent homology with Z/2Z coefficients of the alpha complex on points
-sampling a torus 3D:
-
-./alpha_complex_3d_persistence ../../data/points/tore3D_300.off 2 0.45
-
-output:
-Simplex_tree dim: 3
-2 0 0 inf
-2 1 0.0682162 1.0001
-2 1 0.0934117 1.00003
-2 2 0.56444 1.03938
-
-Here we retrieve expected Betti numbers on a tore 3D:
-Betti numbers[0] = 1
-Betti numbers[1] = 2
-Betti numbers[2] = 1
-
-N.B.: - alpha_complex_3d_persistence accepts only OFF files in 3D dimension.
- - filtration values are alpha square values
-
-2) d-Dimension case
--------------------
-Computation of the persistent homology with Z/2Z coefficients of the alpha complex on points
-sampling a torus 3D:
-
-./alpha_complex_persistence -r 32 -p 2 -m 0.45 ../../data/points/tore3D_300.off
-
-output:
-Alpha complex is of dimension 3 - 9273 simplices - 300 vertices.
-Simplex_tree dim: 3
-2 0 0 inf
-2 1 0.0682162 1.0001
-2 1 0.0934117 1.00003
-2 2 0.56444 1.03938
-
-Here we retrieve expected Betti numbers on a tore 3D:
-Betti numbers[0] = 1
-Betti numbers[1] = 2
-Betti numbers[2] = 1
-
-N.B.: - alpha_complex_persistence accepts OFF files in d-Dimension.
- - filtration values are alpha square values
-
-3) 3D periodic special case
----------------------------
-./periodic_alpha_complex_3d_persistence ../../data/points/grid_10_10_10_in_0_1.off ../../data/points/iso_cuboid_3_in_0_1.txt 3 1.0
-
-output:
-Periodic Delaunay computed.
-Simplex_tree dim: 3
-3 0 0 inf
-3 1 0.0025 inf
-3 1 0.0025 inf
-3 1 0.0025 inf
-3 2 0.005 inf
-3 2 0.005 inf
-3 2 0.005 inf
-3 3 0.0075 inf
-
-Here we retrieve expected Betti numbers on a tore 3D:
-Betti numbers[0] = 1
-Betti numbers[1] = 3
-Betti numbers[2] = 3
-Betti numbers[3] = 1
-
-N.B.: - periodic_alpha_complex_3d_persistence accepts only OFF files in 3D dimension. In this example, the periodic cube
-is hard coded to { x = [0,1]; y = [0,1]; z = [0,1] }
- - filtration values are alpha square values
-
-***********************************************************************************************************************
Example of use of PLAIN HOMOLOGY:
This example computes the plain homology of the following simplicial complex without filtration values:
diff --git a/src/Persistent_cohomology/example/rips_persistence_step_by_step.cpp b/src/Persistent_cohomology/example/rips_persistence_step_by_step.cpp
index 554eeba6..c1de0ef8 100644
--- a/src/Persistent_cohomology/example/rips_persistence_step_by_step.cpp
+++ b/src/Persistent_cohomology/example/rips_persistence_step_by_step.cpp
@@ -45,14 +45,7 @@
using Simplex_tree = Gudhi::Simplex_tree<Gudhi::Simplex_tree_options_fast_persistence>;
using Vertex_handle = Simplex_tree::Vertex_handle;
using Filtration_value = Simplex_tree::Filtration_value;
-using Graph_t = boost::adjacency_list < boost::vecS, boost::vecS, boost::undirectedS
-, boost::property < vertex_filtration_t, Filtration_value >
-, boost::property < edge_filtration_t, Filtration_value >
->;
-using Edge_t = std::pair< Vertex_handle, Vertex_handle >;
-
-template< typename InputPointRange, typename Distance >
-Graph_t compute_proximity_graph(InputPointRange &points, Filtration_value threshold, Distance distance);
+using Proximity_graph = Gudhi::Proximity_graph<Simplex_tree>;
using Field_Zp = Gudhi::persistent_cohomology::Field_Zp;
using Persistent_cohomology = Gudhi::persistent_cohomology::Persistent_cohomology<Simplex_tree, Field_Zp >;
@@ -81,8 +74,9 @@ int main(int argc, char * argv[]) {
Points_off_reader off_reader(off_file_points);
// Compute the proximity graph of the points
- Graph_t prox_graph = compute_proximity_graph(off_reader.get_point_cloud(), threshold
- , Gudhi::Euclidean_distance());
+ Proximity_graph prox_graph = Gudhi::compute_proximity_graph<Simplex_tree>(off_reader.get_point_cloud(),
+ threshold,
+ Gudhi::Euclidean_distance());
// Construct the Rips complex in a Simplex Tree
Simplex_tree st;
@@ -170,48 +164,3 @@ void program_options(int argc, char * argv[]
std::abort();
}
}
-
-/** Output the proximity graph of the points.
- *
- * If points contains n elements, the proximity graph is the graph
- * with n vertices, and an edge [u,v] iff the distance function between
- * points u and v is smaller than threshold.
- *
- * The type PointCloud furnishes .begin() and .end() methods, that return
- * iterators with value_type Point.
- */
-template< typename InputPointRange, typename Distance >
-Graph_t compute_proximity_graph(InputPointRange &points, Filtration_value threshold, Distance distance) {
- std::vector< Edge_t > edges;
- std::vector< Filtration_value > edges_fil;
-
- Vertex_handle idx_u, idx_v;
- Filtration_value fil;
- idx_u = 0;
- for (auto it_u = points.begin(); it_u != points.end(); ++it_u) {
- idx_v = idx_u + 1;
- for (auto it_v = it_u + 1; it_v != points.end(); ++it_v, ++idx_v) {
- fil = distance(*it_u, *it_v);
- if (fil <= threshold) {
- edges.emplace_back(idx_u, idx_v);
- edges_fil.push_back(fil);
- }
- }
- ++idx_u;
- }
-
- Graph_t skel_graph(edges.begin()
- , edges.end()
- , edges_fil.begin()
- , idx_u); // number of points labeled from 0 to idx_u-1
-
- auto vertex_prop = boost::get(vertex_filtration_t(), skel_graph);
-
- boost::graph_traits<Graph_t>::vertex_iterator vi, vi_end;
- for (std::tie(vi, vi_end) = boost::vertices(skel_graph);
- vi != vi_end; ++vi) {
- boost::put(vertex_prop, *vi, 0.);
- }
-
- return skel_graph;
-}
diff --git a/src/Rips_complex/utilities/CMakeLists.txt b/src/Rips_complex/utilities/CMakeLists.txt
new file mode 100644
index 00000000..baa571fa
--- /dev/null
+++ b/src/Rips_complex/utilities/CMakeLists.txt
@@ -0,0 +1,21 @@
+cmake_minimum_required(VERSION 2.6)
+project(Rips_complex_utilities)
+
+add_executable(rips_distance_matrix_persistence rips_distance_matrix_persistence.cpp)
+target_link_libraries(rips_distance_matrix_persistence ${Boost_PROGRAM_OPTIONS_LIBRARY})
+
+add_executable(rips_persistence rips_persistence.cpp)
+target_link_libraries(rips_persistence ${Boost_PROGRAM_OPTIONS_LIBRARY})
+
+if (TBB_FOUND)
+ target_link_libraries(rips_distance_matrix_persistence ${TBB_LIBRARIES})
+ target_link_libraries(rips_persistence ${TBB_LIBRARIES})
+endif()
+
+add_test(NAME Rips_complex_utility_from_rips_distance_matrix COMMAND $<TARGET_FILE:rips_distance_matrix_persistence>
+ "${CMAKE_SOURCE_DIR}/data/distance_matrix/full_square_distance_matrix.csv" "-r" "1.0" "-d" "3" "-p" "3" "-m" "0")
+add_test(NAME Rips_complex_utility_from_rips_on_tore_3D COMMAND $<TARGET_FILE:rips_persistence>
+ "${CMAKE_SOURCE_DIR}/data/points/tore3D_1307.off" "-r" "0.25" "-m" "0.5" "-d" "3" "-p" "3")
+
+install(TARGETS rips_distance_matrix_persistence DESTINATION bin)
+install(TARGETS rips_persistence DESTINATION bin)
diff --git a/src/Rips_complex/utilities/README b/src/Rips_complex/utilities/README
new file mode 100644
index 00000000..ca10424d
--- /dev/null
+++ b/src/Rips_complex/utilities/README
@@ -0,0 +1,67 @@
+# Rips_complex #
+
+## `rips_persistence` ##
+This program computes the persistent homology with coefficient field *Z/pZ* of a Rips complex defined on a set of input points. The output diagram contains one bar per line, written with the convention:
+
+`p dim b d`
+
+where `dim` is the dimension of the homological feature, `b` and `d` are respectively the birth and death of the feature, and `p` is the characteristic of the field *Z/pZ* used for homology coefficients (`p` must be a prime number).
+
+**Usage**
+`rips_persistence [options] <OFF input file>`
+
+**Allowed options**
+
+* `-h [ --help ]` Produce help message
+* `-o [ --output-file ]` Name of file in which the persistence diagram is written. Default print in standard output.
+* `-r [ --max-edge-length ]` (default = inf) Maximal length of an edge for the Rips complex construction.
+* `-d [ --cpx-dimension ]` (default = 1) Maximal dimension of the Rips complex we want to compute.
+* `-p [ --field-charac ]` (default = 11) Characteristic p of the coefficient field Z/pZ for computing homology.
+* `-m [ --min-persistence ]` (default = 0) Minimal lifetime of homology feature to be recorded. Enter a negative value to see zero length intervals.
+
+**Example 1 with Z/2Z coefficients**
+`rips_persistence ../../data/points/tore3D_1307.off -r 0.25 -m 0.5 -d 3 -p 2`
+
+outputs:
+```
+2 0 0 inf
+2 1 0.0983494 inf
+2 1 0.104347 inf
+2 2 0.138335 inf
+```
+
+**Example 2 with Z/3Z coefficients**
+
+rips_persistence ../../data/points/tore3D_1307.off -r 0.25 -m 0.5 -d 3 -p 3
+
+outputs:
+```
+3 0 0 inf
+3 1 0.0983494 inf
+3 1 0.104347 inf
+3 2 0.138335 inf
+```
+
+
+
+
+## `rips_distance_matrix_persistence` ##
+Same as `rips_persistence` but taking a distance matrix as input.
+
+**Example**
+`rips_distance_matrix_persistence data/distance_matrix/full_square_distance_matrix.csv -r 15 -d 3 -p 3 -m 0`
+
+outputs:
+```
+The complex contains 46 simplices
+ and has dimension 3
+3 0 0 inf
+3 0 0 8.94427
+3 0 0 7.28011
+3 0 0 6.08276
+3 0 0 5.83095
+3 0 0 5.38516
+3 0 0 5
+3 1 11 12.0416
+3 1 6.32456 6.7082
+```
diff --git a/src/Persistent_cohomology/example/rips_distance_matrix_persistence.cpp b/src/Rips_complex/utilities/rips_distance_matrix_persistence.cpp
index d38808c7..d38808c7 100644
--- a/src/Persistent_cohomology/example/rips_distance_matrix_persistence.cpp
+++ b/src/Rips_complex/utilities/rips_distance_matrix_persistence.cpp
diff --git a/src/Persistent_cohomology/example/rips_persistence.cpp b/src/Rips_complex/utilities/rips_persistence.cpp
index d504798b..d504798b 100644
--- a/src/Persistent_cohomology/example/rips_persistence.cpp
+++ b/src/Rips_complex/utilities/rips_persistence.cpp
diff --git a/src/Simplex_tree/example/CMakeLists.txt b/src/Simplex_tree/example/CMakeLists.txt
index 8bc4ad53..b33b2d05 100644
--- a/src/Simplex_tree/example/CMakeLists.txt
+++ b/src/Simplex_tree/example/CMakeLists.txt
@@ -34,6 +34,16 @@ if(GMP_FOUND AND CGAL_FOUND)
"${CMAKE_SOURCE_DIR}/data/points/bunny_5000.off")
install(TARGETS Simplex_tree_example_alpha_shapes_3_from_off DESTINATION bin)
+
+ add_executable ( Simplex_tree_example_cech_complex_cgal_mini_sphere_3d cech_complex_cgal_mini_sphere_3d.cpp )
+ target_link_libraries(Simplex_tree_example_cech_complex_cgal_mini_sphere_3d ${Boost_PROGRAM_OPTIONS_LIBRARY} ${CGAL_LIBRARY})
+ if (TBB_FOUND)
+ target_link_libraries(Simplex_tree_example_cech_complex_cgal_mini_sphere_3d ${TBB_LIBRARIES})
+ endif()
+ add_test(NAME Simplex_tree_example_cech_complex_cgal_mini_sphere_3d COMMAND $<TARGET_FILE:Simplex_tree_example_cech_complex_cgal_mini_sphere_3d>
+ "${CMAKE_SOURCE_DIR}/data/points/tore3D_300.off" -r 0.3 -d 3)
+
+ install(TARGETS Simplex_tree_example_alpha_shapes_3_from_off DESTINATION bin)
endif()
add_executable ( Simplex_tree_example_graph_expansion_with_blocker graph_expansion_with_blocker.cpp )
diff --git a/src/Simplex_tree/example/cech_complex_cgal_mini_sphere_3d.cpp b/src/Simplex_tree/example/cech_complex_cgal_mini_sphere_3d.cpp
new file mode 100644
index 00000000..217e251f
--- /dev/null
+++ b/src/Simplex_tree/example/cech_complex_cgal_mini_sphere_3d.cpp
@@ -0,0 +1,234 @@
+/* This file is part of the Gudhi Library. The Gudhi library
+ * (Geometric Understanding in Higher Dimensions) is a generic C++
+ * library for computational topology.
+ *
+ * Author(s): Clément Maria
+ *
+ * Copyright (C) 2014 INRIA Sophia Antipolis-Méditerranée (France)
+ *
+ * This program is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#include <gudhi/graph_simplicial_complex.h>
+#include <gudhi/distance_functions.h>
+#include <gudhi/Simplex_tree.h>
+#include <gudhi/Points_off_io.h>
+
+#include <CGAL/Epick_d.h>
+#include <CGAL/Min_sphere_of_spheres_d.h>
+#include <CGAL/Min_sphere_of_points_d_traits_d.h>
+
+#include <boost/program_options.hpp>
+
+#include <string>
+#include <vector>
+#include <limits> // infinity
+#include <utility> // for pair
+#include <map>
+
+// -------------------------------------------------------------------------------
+// cech_complex_cgal_mini_sphere_3d is an example of each step that is required to
+// build a Cech over a Simplex_tree. Please refer to cech_persistence to see
+// how to do the same thing with the Cech_complex wrapper for less detailed
+// steps.
+// -------------------------------------------------------------------------------
+
+// Types definition
+using Simplex_tree = Gudhi::Simplex_tree<>;
+using Vertex_handle = Simplex_tree::Vertex_handle;
+using Simplex_handle = Simplex_tree::Simplex_handle;
+using Filtration_value = Simplex_tree::Filtration_value;
+using Siblings = Simplex_tree::Siblings;
+using Graph_t = boost::adjacency_list < boost::vecS, boost::vecS, boost::undirectedS
+, boost::property < Gudhi::vertex_filtration_t, Filtration_value >
+, boost::property < Gudhi::edge_filtration_t, Filtration_value >
+>;
+using Edge_t = std::pair< Vertex_handle, Vertex_handle >;
+
+using Kernel = CGAL::Epick_d< CGAL::Dimension_tag<3> >;
+using Point = Kernel::Point_d;
+using Traits = CGAL::Min_sphere_of_points_d_traits_d<Kernel,Filtration_value,3>;
+using Min_sphere = CGAL::Min_sphere_of_spheres_d<Traits>;
+
+using Points_off_reader = Gudhi::Points_off_reader<Point>;
+
+class Cech_blocker {
+ public:
+ bool operator()(Simplex_handle sh) {
+ std::vector<Point> points;
+#if DEBUG_TRACES
+ std::cout << "Cech_blocker on [";
+#endif // DEBUG_TRACES
+ for (auto vertex : simplex_tree_.simplex_vertex_range(sh)) {
+ points.push_back(point_cloud_[vertex]);
+#if DEBUG_TRACES
+ std::cout << vertex << ", ";
+#endif // DEBUG_TRACES
+ }
+ Min_sphere ms(points.begin(),points.end());
+ Filtration_value radius = ms.radius();
+#if DEBUG_TRACES
+ std::cout << "] - radius = " << radius << " - returns " << (radius > threshold_) << std::endl;
+#endif // DEBUG_TRACES
+ simplex_tree_.assign_filtration(sh, radius);
+ return (radius > threshold_);
+ }
+ Cech_blocker(Simplex_tree& simplex_tree, Filtration_value threshold, const std::vector<Point>& point_cloud)
+ : simplex_tree_(simplex_tree),
+ threshold_(threshold),
+ point_cloud_(point_cloud) { }
+ private:
+ Simplex_tree simplex_tree_;
+ Filtration_value threshold_;
+ std::vector<Point> point_cloud_;
+};
+
+template< typename InputPointRange>
+Graph_t compute_proximity_graph(InputPointRange &points, Filtration_value threshold);
+
+void program_options(int argc, char * argv[]
+ , std::string & off_file_points
+ , Filtration_value & threshold
+ , int & dim_max);
+
+int main(int argc, char * argv[]) {
+ std::string off_file_points;
+ Filtration_value threshold;
+ int dim_max;
+
+ program_options(argc, argv, off_file_points, threshold, dim_max);
+
+ // Extract the points from the file filepoints
+ Points_off_reader off_reader(off_file_points);
+
+ // Compute the proximity graph of the points
+ Graph_t prox_graph = compute_proximity_graph(off_reader.get_point_cloud(), threshold);
+
+ //Min_sphere sph1(off_reader.get_point_cloud()[0], off_reader.get_point_cloud()[1], off_reader.get_point_cloud()[2]);
+ // Construct the Rips complex in a Simplex Tree
+ Simplex_tree st;
+ // insert the proximity graph in the simplex tree
+ st.insert_graph(prox_graph);
+ // expand the graph until dimension dim_max
+ st.expansion_with_blockers(dim_max, Cech_blocker(st, threshold, off_reader.get_point_cloud()));
+
+ std::cout << "The complex contains " << st.num_simplices() << " simplices \n";
+ std::cout << " and has dimension " << st.dimension() << " \n";
+
+ // Sort the simplices in the order of the filtration
+ st.initialize_filtration();
+
+#if DEBUG_TRACES
+ std::cout << "********************************************************************\n";
+ // Display the Simplex_tree - Can not be done in the middle of 2 inserts
+ std::cout << "* The complex contains " << st.num_simplices() << " simplices - dimension=" << st.dimension() << "\n";
+ std::cout << "* Iterator on Simplices in the filtration, with [filtration value]:\n";
+ for (auto f_simplex : st.filtration_simplex_range()) {
+ std::cout << " " << "[" << st.filtration(f_simplex) << "] ";
+ for (auto vertex : st.simplex_vertex_range(f_simplex)) {
+ std::cout << static_cast<int>(vertex) << " ";
+ }
+ std::cout << std::endl;
+ }
+#endif // DEBUG_TRACES
+ return 0;
+}
+
+void program_options(int argc, char * argv[]
+ , std::string & off_file_points
+ , Filtration_value & threshold
+ , int & dim_max) {
+ namespace po = boost::program_options;
+ po::options_description hidden("Hidden options");
+ hidden.add_options()
+ ("input-file", po::value<std::string>(&off_file_points),
+ "Name of an OFF file containing a 3d point set.\n");
+
+ po::options_description visible("Allowed options", 100);
+ visible.add_options()
+ ("help,h", "produce help message")
+ ("max-edge-length,r",
+ po::value<Filtration_value>(&threshold)->default_value(std::numeric_limits<Filtration_value>::infinity()),
+ "Maximal length of an edge for the Cech complex construction.")
+ ("cpx-dimension,d", po::value<int>(&dim_max)->default_value(1),
+ "Maximal dimension of the Cech complex we want to compute.");
+
+ po::positional_options_description pos;
+ pos.add("input-file", 1);
+
+ po::options_description all;
+ all.add(visible).add(hidden);
+
+ po::variables_map vm;
+ po::store(po::command_line_parser(argc, argv).
+ options(all).positional(pos).run(), vm);
+ po::notify(vm);
+
+ if (vm.count("help") || !vm.count("input-file")) {
+ std::cout << std::endl;
+ std::cout << "Construct a Cech complex defined on a set of input points.\n \n";
+
+ std::cout << "Usage: " << argv[0] << " [options] input-file" << std::endl << std::endl;
+ std::cout << visible << std::endl;
+ std::abort();
+ }
+}
+
+/** Output the proximity graph of the points.
+ *
+ * If points contains n elements, the proximity graph is the graph
+ * with n vertices, and an edge [u,v] iff the distance function between
+ * points u and v is smaller than threshold.
+ *
+ * The type PointCloud furnishes .begin() and .end() methods, that return
+ * iterators with value_type Point.
+ */
+template< typename InputPointRange>
+Graph_t compute_proximity_graph(InputPointRange &points, Filtration_value threshold) {
+ std::vector< Edge_t > edges;
+ std::vector< Filtration_value > edges_fil;
+
+ Kernel k;
+ Vertex_handle idx_u, idx_v;
+ Filtration_value fil;
+ idx_u = 0;
+ for (auto it_u = points.begin(); it_u != points.end(); ++it_u) {
+ idx_v = idx_u + 1;
+ for (auto it_v = it_u + 1; it_v != points.end(); ++it_v, ++idx_v) {
+ fil = k.squared_distance_d_object()(*it_u, *it_v);
+ // For Cech Complex, threshold is a radius (distance /2)
+ fil = std::sqrt(fil) / 2.;
+ if (fil <= threshold) {
+ edges.emplace_back(idx_u, idx_v);
+ edges_fil.push_back(fil);
+ }
+ }
+ ++idx_u;
+ }
+
+ Graph_t skel_graph(edges.begin()
+ , edges.end()
+ , edges_fil.begin()
+ , idx_u); // number of points labeled from 0 to idx_u-1
+
+ auto vertex_prop = boost::get(Gudhi::vertex_filtration_t(), skel_graph);
+
+ boost::graph_traits<Graph_t>::vertex_iterator vi, vi_end;
+ for (std::tie(vi, vi_end) = boost::vertices(skel_graph);
+ vi != vi_end; ++vi) {
+ boost::put(vertex_prop, *vi, 0.);
+ }
+
+ return skel_graph;
+}
diff --git a/src/Simplex_tree/example/example_alpha_shapes_3_simplex_tree_from_off_file.cpp b/src/Simplex_tree/example/example_alpha_shapes_3_simplex_tree_from_off_file.cpp
index ff2eebcb..d8289ba9 100644
--- a/src/Simplex_tree/example/example_alpha_shapes_3_simplex_tree_from_off_file.cpp
+++ b/src/Simplex_tree/example/example_alpha_shapes_3_simplex_tree_from_off_file.cpp
@@ -28,6 +28,8 @@
#include <CGAL/Exact_predicates_inexact_constructions_kernel.h>
#include <CGAL/Delaunay_triangulation_3.h>
#include <CGAL/Alpha_shape_3.h>
+#include <CGAL/Alpha_shape_vertex_base_3.h>
+#include <CGAL/Alpha_shape_cell_base_3.h>
#include <CGAL/iterator.h>
#include <fstream>
diff --git a/src/Simplex_tree/include/gudhi/Simplex_tree.h b/src/Simplex_tree/include/gudhi/Simplex_tree.h
index 836e0612..cb6ab309 100644
--- a/src/Simplex_tree/include/gudhi/Simplex_tree.h
+++ b/src/Simplex_tree/include/gudhi/Simplex_tree.h
@@ -761,8 +761,12 @@ class Simplex_tree {
return &root_;
}
- /** Set a dimension for the simplicial complex. */
+ /** \brief Set a dimension for the simplicial complex.
+ * \details This function must be used with caution because it disables dimension recomputation when required
+ * (this recomputation can be triggered by `remove_maximal_simplex()` or `prune_above_filtration()`).
+ */
void set_dimension(int dimension) {
+ dimension_to_be_lowered_ = false;
dimension_ = dimension;
}
@@ -1145,7 +1149,7 @@ class Simplex_tree {
Siblings * new_sib = new Siblings(siblings, // oncles
simplex->first, // parent
boost::adaptors::reverse(intersection)); // boost::container::ordered_unique_range_t
- std::vector<Simplex_handle> blocked_new_sib_list;
+ std::vector<Vertex_handle> blocked_new_sib_vertex_list;
// As all intersections are inserted, we can call the blocker function on all new_sib members
for (auto new_sib_member = new_sib->members().begin();
new_sib_member != new_sib->members().end();
@@ -1153,17 +1157,19 @@ class Simplex_tree {
bool blocker_result = block_simplex(new_sib_member);
// new_sib member has been blocked by the blocker function
// add it to the list to be removed - do not perform it while looping on it
- if (blocker_result)
- blocked_new_sib_list.push_back(new_sib_member);
- }
- bool removed = false;
- for (auto& blocked_new_sib_member : blocked_new_sib_list){
- removed = removed || remove_maximal_simplex(blocked_new_sib_member);
+ if (blocker_result) {
+ blocked_new_sib_vertex_list.push_back(new_sib_member->first);
+ }
}
- if (removed) {
+ if (blocked_new_sib_vertex_list.size() == new_sib->members().size()) {
+ // Specific case where all have to be deleted
+ delete new_sib;
// ensure the children property
simplex->second.assign_children(siblings);
} else {
+ for (auto& blocked_new_sib_member : blocked_new_sib_vertex_list) {
+ new_sib->members().erase(blocked_new_sib_member);
+ }
// ensure recursive call
simplex->second.assign_children(new_sib);
siblings_expansion_with_blockers(new_sib, max_dim, k - 1, block_simplex);
@@ -1338,16 +1344,14 @@ class Simplex_tree {
public:
/** \brief Remove a maximal simplex.
* @param[in] sh Simplex handle on the maximal simplex to remove.
- * @return a boolean value that is an implementation detail, and that the user is supposed to ignore
* \pre Please check the simplex has no coface before removing it.
* \exception std::invalid_argument In debug mode, if sh has children.
- * \post Be aware that removing is shifting data in a flat_map (`initialize_filtration()` to be done).
+ * \post Be aware that removing is shifting data in a flat_map (initialize_filtration to be done).
* \post Note that the dimension of the simplicial complex may be lower after calling `remove_maximal_simplex()`
* than it was before. However, `upper_bound_dimension()` will return the old value, which remains a valid upper
* bound. If you care, you can call `dimension()` to recompute the exact dimension.
- * \internal @return true if the leaf's branch has no other leaves (branch's children has been re-assigned), false otherwise.
*/
- bool remove_maximal_simplex(Simplex_handle sh) {
+ void remove_maximal_simplex(Simplex_handle sh) {
// Guarantee the simplex has no children
GUDHI_CHECK(!has_children(sh),
std::invalid_argument("Simplex_tree::remove_maximal_simplex - argument has children"));
@@ -1365,9 +1369,7 @@ class Simplex_tree {
delete child;
// dimension may need to be lowered
dimension_to_be_lowered_ = true;
- return true;
}
- return false;
}
private:
diff --git a/src/Witness_complex/doc/Witness_complex_doc.h b/src/Witness_complex/doc/Witness_complex_doc.h
index 171a185f..5d5c0735 100644
--- a/src/Witness_complex/doc/Witness_complex_doc.h
+++ b/src/Witness_complex/doc/Witness_complex_doc.h
@@ -90,8 +90,9 @@ int main(int argc, char * const argv[]) {
Gudhi::Points_off_reader<Point_d> off_reader(file_name);
point_vector = Point_vector(off_reader.get_point_cloud());
- // Choose landmarks
- Gudhi::subsampling::pick_n_random_points(point_vector, nbL, std::back_inserter(landmarks));
+ // Choose landmarks (one can choose either of the two methods below)
+ // Gudhi::subsampling::pick_n_random_points(point_vector, nbL, std::back_inserter(landmarks));
+ Gudhi::subsampling::choose_n_farthest_points(K(), point_vector, nbL, Gudhi::subsampling::random_starting_point, std::back_inserter(landmarks));
// Compute witness complex
Witness_complex witness_complex(landmarks,
@@ -107,7 +108,14 @@ int main(int argc, char * const argv[]) {
Here is an example of constructing a strong witness complex filtration and computing persistence on it:
- \include Witness_complex/example_strong_witness_persistence.cpp
+ \include Witness_complex/strong_witness_persistence.cpp
+
+ \section witnessexample3 Example3: Computing relaxed witness complex persistence from a distance matrix
+
+ In this example we compute the relaxed witness complex persistence from a given matrix of closest landmarks to each witness.
+ Each landmark is given as the couple (index, distance).
+
+ \include Witness_complex/example_nearest_landmark_table.cpp
\copyright GNU General Public License v3.
diff --git a/src/Witness_complex/example/CMakeLists.txt b/src/Witness_complex/example/CMakeLists.txt
index cbc53902..a8231392 100644
--- a/src/Witness_complex/example/CMakeLists.txt
+++ b/src/Witness_complex/example/CMakeLists.txt
@@ -13,39 +13,23 @@ install(TARGETS Witness_complex_example_nearest_landmark_table DESTINATION bin)
# CGAL and Eigen3 are required for Euclidean version of Witness
if (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.6.0)
add_executable( Witness_complex_example_off example_witness_complex_off.cpp )
- add_executable( Witness_complex_example_strong_off example_strong_witness_complex_off.cpp )
add_executable ( Witness_complex_example_sphere example_witness_complex_sphere.cpp )
-
- add_executable ( Witness_complex_example_witness_persistence example_witness_complex_persistence.cpp )
- target_link_libraries(Witness_complex_example_witness_persistence ${Boost_PROGRAM_OPTIONS_LIBRARY})
-
- add_executable ( Witness_complex_example_strong_witness_persistence example_strong_witness_persistence.cpp )
- target_link_libraries(Witness_complex_example_strong_witness_persistence ${Boost_PROGRAM_OPTIONS_LIBRARY})
-
- if (TBB_FOUND)
- target_link_libraries(Witness_complex_example_witness_persistence ${TBB_LIBRARIES})
- target_link_libraries(Witness_complex_example_strong_witness_persistence ${TBB_LIBRARIES})
- endif()
+
+ add_executable( Witness_complex_example_strong_off example_strong_witness_complex_off.cpp )
+ target_link_libraries(Witness_complex_example_strong_off)
add_test(NAME Witness_complex_example_off_test_torus
COMMAND $<TARGET_FILE:Witness_complex_example_off>
"${CMAKE_SOURCE_DIR}/data/points/tore3D_1307.off" "20" "1.0" "3")
+ add_test(NAME Witness_complex_example_test_sphere_10
+ COMMAND $<TARGET_FILE:Witness_complex_example_sphere> "10")
add_test(NAME Witness_complex_example_strong_off_test_torus
COMMAND $<TARGET_FILE:Witness_complex_example_strong_off>
"${CMAKE_SOURCE_DIR}/data/points/tore3D_1307.off" "20" "1.0" "3")
- add_test(NAME Witness_complex_example_test_sphere_10
- COMMAND $<TARGET_FILE:Witness_complex_example_sphere> "10")
- add_test(NAME Witness_complex_example_test_torus_persistence
- COMMAND $<TARGET_FILE:Witness_complex_example_witness_persistence>
- "${CMAKE_SOURCE_DIR}/data/points/tore3D_1307.off" "-l" "20" "-a" "0.5")
- add_test(NAME Witness_complex_example_strong_test_torus_persistence
- COMMAND $<TARGET_FILE:Witness_complex_example_strong_witness_persistence>
- "${CMAKE_SOURCE_DIR}/data/points/tore3D_1307.off" "-l" "20" "-a" "0.5")
-
+
install(TARGETS Witness_complex_example_off DESTINATION bin)
- install(TARGETS Witness_complex_example_strong_off DESTINATION bin)
install(TARGETS Witness_complex_example_sphere DESTINATION bin)
- install(TARGETS Witness_complex_example_witness_persistence DESTINATION bin)
- install(TARGETS Witness_complex_example_strong_witness_persistence DESTINATION bin)
+ install(TARGETS Witness_complex_example_strong_off DESTINATION bin)
+
endif (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.6.0)
diff --git a/src/Witness_complex/example/example_strong_witness_complex_off.cpp b/src/Witness_complex/example/example_strong_witness_complex_off.cpp
index 0ee9ee90..bc069654 100644
--- a/src/Witness_complex/example/example_strong_witness_complex_off.cpp
+++ b/src/Witness_complex/example/example_strong_witness_complex_off.cpp
@@ -23,6 +23,7 @@
#include <gudhi/Simplex_tree.h>
#include <gudhi/Euclidean_strong_witness_complex.h>
#include <gudhi/pick_n_random_points.h>
+#include <gudhi/choose_n_farthest_points.h>
#include <gudhi/Points_off_io.h>
#include <CGAL/Epick_d.h>
@@ -63,9 +64,10 @@ int main(int argc, char * const argv[]) {
std::cout << "Successfully read " << point_vector.size() << " points.\n";
std::cout << "Ambient dimension is " << point_vector[0].dimension() << ".\n";
- // Choose landmarks
- Gudhi::subsampling::pick_n_random_points(point_vector, nbL, std::back_inserter(landmarks));
-
+ // Choose landmarks (decomment one of the following two lines)
+ // Gudhi::subsampling::pick_n_random_points(point_vector, nbL, std::back_inserter(landmarks));
+ Gudhi::subsampling::choose_n_farthest_points(K(), point_vector, nbL, Gudhi::subsampling::random_starting_point, std::back_inserter(landmarks));
+
// Compute witness complex
start = clock();
Witness_complex witness_complex(landmarks,
diff --git a/src/Witness_complex/example/example_witness_complex_off.cpp b/src/Witness_complex/example/example_witness_complex_off.cpp
index b36dac0d..be11c955 100644
--- a/src/Witness_complex/example/example_witness_complex_off.cpp
+++ b/src/Witness_complex/example/example_witness_complex_off.cpp
@@ -4,6 +4,7 @@
#include <gudhi/Simplex_tree.h>
#include <gudhi/Euclidean_witness_complex.h>
#include <gudhi/pick_n_random_points.h>
+#include <gudhi/choose_n_farthest_points.h>
#include <gudhi/Points_off_io.h>
#include <CGAL/Epick_d.h>
@@ -44,8 +45,9 @@ int main(int argc, char * const argv[]) {
std::cout << "Successfully read " << point_vector.size() << " points.\n";
std::cout << "Ambient dimension is " << point_vector[0].dimension() << ".\n";
- // Choose landmarks
- Gudhi::subsampling::pick_n_random_points(point_vector, nbL, std::back_inserter(landmarks));
+ // Choose landmarks (decomment one of the following two lines)
+ // Gudhi::subsampling::pick_n_random_points(point_vector, nbL, std::back_inserter(landmarks));
+ Gudhi::subsampling::choose_n_farthest_points(K(), point_vector, nbL, Gudhi::subsampling::random_starting_point, std::back_inserter(landmarks));
// Compute witness complex
start = clock();
diff --git a/src/Witness_complex/example/example_witness_complex_sphere.cpp b/src/Witness_complex/example/example_witness_complex_sphere.cpp
index 124fd99b..a66da3f9 100644
--- a/src/Witness_complex/example/example_witness_complex_sphere.cpp
+++ b/src/Witness_complex/example/example_witness_complex_sphere.cpp
@@ -25,6 +25,7 @@
#include <gudhi/Simplex_tree.h>
#include <gudhi/Euclidean_witness_complex.h>
#include <gudhi/pick_n_random_points.h>
+#include <gudhi/choose_n_farthest_points.h>
#include <gudhi/reader_utils.h>
#include <CGAL/Epick_d.h>
@@ -75,7 +76,8 @@ int main(int argc, char * const argv[]) {
// Choose landmarks
start = clock();
- Gudhi::subsampling::pick_n_random_points(point_vector, number_of_landmarks, std::back_inserter(landmarks));
+ // Gudhi::subsampling::pick_n_random_points(point_vector, number_of_landmarks, std::back_inserter(landmarks));
+ Gudhi::subsampling::choose_n_farthest_points(K(), point_vector, number_of_landmarks, Gudhi::subsampling::random_starting_point, std::back_inserter(landmarks));
// Compute witness complex
Witness_complex witness_complex(landmarks,
diff --git a/src/Witness_complex/include/gudhi/Strong_witness_complex.h b/src/Witness_complex/include/gudhi/Strong_witness_complex.h
index c18335d3..b3d00b11 100644
--- a/src/Witness_complex/include/gudhi/Strong_witness_complex.h
+++ b/src/Witness_complex/include/gudhi/Strong_witness_complex.h
@@ -34,7 +34,8 @@ namespace Gudhi {
namespace witness_complex {
-/* \private
+ /**
+ * \private
* \class Strong_witness_complex
* \brief Constructs strong witness complex for a given table of nearest landmarks with respect to witnesses.
* \ingroup witness_complex
@@ -130,6 +131,8 @@ class Strong_witness_complex {
return true;
}
+ //@}
+
private:
/* \brief Adds recursively all the faces of a certain dimension dim-1 witnessed by the same witness.
* Iterator is needed to know until how far we can take landmarks to form simplexes.
@@ -170,7 +173,6 @@ class Strong_witness_complex {
simplex.pop_back();
}
}
- //@}
};
} // namespace witness_complex
diff --git a/src/Witness_complex/utilities/CMakeLists.txt b/src/Witness_complex/utilities/CMakeLists.txt
new file mode 100644
index 00000000..125a41ff
--- /dev/null
+++ b/src/Witness_complex/utilities/CMakeLists.txt
@@ -0,0 +1,28 @@
+cmake_minimum_required(VERSION 2.6)
+project(Witness_complex_utilities)
+
+# CGAL and Eigen3 are required for Euclidean version of Witness
+if (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.6.0)
+
+ add_executable ( Witness_complex_strong_witness_persistence strong_witness_persistence.cpp )
+ target_link_libraries(Witness_complex_strong_witness_persistence ${Boost_PROGRAM_OPTIONS_LIBRARY})
+
+ add_executable ( Witness_complex_weak_witness_persistence weak_witness_persistence.cpp )
+ target_link_libraries(Witness_complex_weak_witness_persistence ${Boost_PROGRAM_OPTIONS_LIBRARY})
+
+ if (TBB_FOUND)
+ target_link_libraries(Witness_complex_strong_witness_persistence ${TBB_LIBRARIES})
+ target_link_libraries(Witness_complex_weak_witness_persistence ${TBB_LIBRARIES})
+ endif()
+
+ add_test(NAME Witness_complex_strong_test_torus_persistence
+ COMMAND $<TARGET_FILE:Witness_complex_strong_witness_persistence>
+ "${CMAKE_SOURCE_DIR}/data/points/tore3D_1307.off" "-l" "20" "-a" "0.5")
+ add_test(NAME Witness_complex_weak_test_torus_persistence
+ COMMAND $<TARGET_FILE:Witness_complex_weak_witness_persistence>
+ "${CMAKE_SOURCE_DIR}/data/points/tore3D_1307.off" "-l" "20" "-a" "0.5")
+
+ install(TARGETS Witness_complex_strong_witness_persistence DESTINATION bin)
+ install(TARGETS Witness_complex_weak_witness_persistence DESTINATION bin)
+
+endif (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.6.0)
diff --git a/src/Witness_complex/utilities/README b/src/Witness_complex/utilities/README
new file mode 100644
index 00000000..d8dc9ca7
--- /dev/null
+++ b/src/Witness_complex/utilities/README
@@ -0,0 +1,72 @@
+# Witness_complex #
+
+## `weak_witness_persistence` ##
+This program computes the persistent homology with coefficient field *Z/pZ* of a Weak witness complex defined on a set of input points. The output diagram contains one bar per line, written with the convention:
+
+`p dim b d`
+
+where `dim` is the dimension of the homological feature, `b` and `d` are respectively the birth and death of the feature, and `p` is the characteristic of the field *Z/pZ* used for homology coefficients.
+
+*Usage*
+`weak_witness_persistence [options] <OFF input file>`
+
+*Allowed options*
+
+* `-h [ --help ]` Produce help message
+* `-l [ --landmarks ]` Number of landmarks to choose from the point cloud.
+* `-o [ --output-file ]` Name of file in which the persistence diagram is written. By default, print in std::cout.
+* `-a [ --max-sq-alpha ]` (default = inf) Maximal squared relaxation parameter.
+* `-p [ --field-charac ]` (default = 11) Characteristic p of the coefficient field Z/pZ for computing homology.
+* `-m [ --min-persistence ]` (default = 0) Minimal lifetime of homology feature to be recorded. Enter a negative value to see zero length intervals.
+* `-d [ --cpx-dimension ]` (default = 2147483647) Maximal dimension of the weak witness complex we want to compute.
+
+*Example*
+`weak_witness_persistence data/points/tore3D_1307.off -l 20 -a 0.5 -m 0.006`
+
+outputs:
+```
+Successfully read 1307 points.
+Ambient dimension is 3.
+The complex contains 732 simplices and has dimension 8
+11 0 0 inf
+11 1 0 inf
+11 2 0.0275251 0.0534586
+11 1 0 0.0239952
+```
+
+N.B.: output is random as the 20 landmarks are chosen randomly.
+
+## `strong_witness_persistence` ##
+This program computes the persistent homology with coefficient field *Z/pZ* of a Strong witness complex defined on a set of input points. The output diagram contains one bar per line, written with the convention:
+
+`p dim b d`
+
+where `dim` is the dimension of the homological feature, `b` and `d` are respectively the birth and death of the feature, and `p` is the characteristic of the field *Z/pZ* used for homology coefficients.
+
+*Usage*
+`strong_witness_persistence [options] <OFF input file>`
+
+*Allowed options*
+
+* `-h [ --help ]` Produce help message
+* `-l [ --landmarks ]` Number of landmarks to choose from the point cloud.
+* `-o [ --output-file ]` Name of file in which the persistence diagram is written. By default, print in std::cout.
+* `-a [ --max-sq-alpha ]` (default = inf) Maximal squared relaxation parameter.
+* `-p [ --field-charac ]` (default = 11) Characteristic p of the coefficient field Z/pZ for computing homology.
+* `-m [ --min-persistence ]` (default = 0) Minimal lifetime of homology feature to be recorded. Enter a negative value to see zero length intervals.
+* `-d [ --cpx-dimension ]` (default = 2147483647) Maximal dimension of the weak witness complex we want to compute.
+
+*Example*
+`strong_witness_persistence data/points/tore3D_1307.off -l 20 -a 0.5 -m 0.06`
+
+outputs:
+```
+Successfully read 1307 points.
+Ambient dimension is 3.
+The complex contains 1836 simplices and has dimension 8
+11 0 0 inf
+11 1 0.00674748 inf
+11 2 0.0937751 0.235354
+```
+
+N.B.: output is random as the 20 landmarks are chosen randomly.
diff --git a/src/Witness_complex/example/example_strong_witness_persistence.cpp b/src/Witness_complex/utilities/strong_witness_persistence.cpp
index f786fe7b..e3e0c1ee 100644
--- a/src/Witness_complex/example/example_strong_witness_persistence.cpp
+++ b/src/Witness_complex/utilities/strong_witness_persistence.cpp
@@ -25,6 +25,7 @@
#include <gudhi/Persistent_cohomology.h>
#include <gudhi/Points_off_io.h>
#include <gudhi/pick_n_random_points.h>
+#include <gudhi/choose_n_farthest_points.h>
#include <boost/program_options.hpp>
@@ -76,8 +77,9 @@ int main(int argc, char * argv[]) {
std::cout << "Successfully read " << witnesses.size() << " points.\n";
std::cout << "Ambient dimension is " << witnesses[0].dimension() << ".\n";
- // Choose landmarks from witnesses
- Gudhi::subsampling::pick_n_random_points(witnesses, nbL, std::back_inserter(landmarks));
+ // Choose landmarks (decomment one of the following two lines)
+ // Gudhi::subsampling::pick_n_random_points(point_vector, nbL, std::back_inserter(landmarks));
+ Gudhi::subsampling::choose_n_farthest_points(K(), witnesses, nbL, Gudhi::subsampling::random_starting_point, std::back_inserter(landmarks));
// Compute witness complex
Strong_witness_complex strong_witness_complex(landmarks,
diff --git a/src/Witness_complex/example/example_witness_complex_persistence.cpp b/src/Witness_complex/utilities/weak_witness_persistence.cpp
index a1146922..a63b0837 100644
--- a/src/Witness_complex/example/example_witness_complex_persistence.cpp
+++ b/src/Witness_complex/utilities/weak_witness_persistence.cpp
@@ -25,6 +25,7 @@
#include <gudhi/Persistent_cohomology.h>
#include <gudhi/Points_off_io.h>
#include <gudhi/pick_n_random_points.h>
+#include <gudhi/choose_n_farthest_points.h>
#include <boost/program_options.hpp>
@@ -76,8 +77,9 @@ int main(int argc, char * argv[]) {
std::cout << "Successfully read " << witnesses.size() << " points.\n";
std::cout << "Ambient dimension is " << witnesses[0].dimension() << ".\n";
- // Choose landmarks from witnesses
- Gudhi::subsampling::pick_n_random_points(witnesses, nbL, std::back_inserter(landmarks));
+ // Choose landmarks (decomment one of the following two lines)
+ // Gudhi::subsampling::pick_n_random_points(point_vector, nbL, std::back_inserter(landmarks));
+ Gudhi::subsampling::choose_n_farthest_points(K(), witnesses, nbL, Gudhi::subsampling::random_starting_point, std::back_inserter(landmarks));
// Compute witness complex
Witness_complex witness_complex(landmarks,
diff --git a/src/common/doc/file_formats.h b/src/common/doc/file_formats.h
index d715aa4d..3b3d9248 100644
--- a/src/common/doc/file_formats.h
+++ b/src/common/doc/file_formats.h
@@ -53,6 +53,21 @@ namespace Gudhi {
Such files can be generated with `Gudhi::persistent_cohomology::Persistent_cohomology::output_diagram()` and read with
`Gudhi::read_persistence_intervals_and_dimension()`, `Gudhi::read_persistence_intervals_grouped_by_dimension()` or
`Gudhi::read_persistence_intervals_in_dimension()`.
+
+
+ \section FileFormatsIsoCuboid Iso-cuboid
+
+ Such a file describes an iso-oriented cuboid with diagonal opposite vertices (min_hx, min_hy, min_hz,...) and (max_hx, max_hy, max_hz, ...). The format is:<br>
+ \verbatim
+ min_hx min_hy [min_hz ...]
+ max_hx max_hy [max_hz ...]
+ \endverbatim
+
+ Here is a simple sample file in the 3D case:
+ \verbatim
+ -1. -1. -1.
+ 1. 1. 1.
+ \endverbatim
*/
} // namespace Gudhi
diff --git a/src/common/doc/main_page.h b/src/common/doc/main_page.h
index 34bf6c22..34d3893d 100644
--- a/src/common/doc/main_page.h
+++ b/src/common/doc/main_page.h
@@ -287,30 +287,38 @@ make doxygen
* Having CGAL version 4.4.0 or higher installed is recommended. The procedure to install this library according to
* your operating system is detailed here http://doc.cgal.org/latest/Manual/installation.html
*
- * The following examples require the <a target="_blank" href="http://www.cgal.org/">Computational Geometry Algorithms
+ * The following examples/utilities require the <a target="_blank" href="http://www.cgal.org/">Computational Geometry Algorithms
* Library</a> (CGAL \cite cgal:eb-15b) and will not be built if CGAL is not installed:
- * \li <a href="_persistent_cohomology_2alpha_complex_3d_persistence_8cpp-example.html">
- * Persistent_cohomology/alpha_complex_3d_persistence.cpp</a>
- * \li <a href="_persistent_cohomology_2exact_alpha_complex_3d_persistence_8cpp-example.html">
- * Persistent_cohomology/exact_alpha_complex_3d_persistence.cpp</a>
- * \li <a href="_persistent_cohomology_2weighted_alpha_complex_3d_persistence_8cpp-example.html">
- * Persistent_cohomology/weighted_alpha_complex_3d_persistence.cpp</a>
+ * \li <a href="_alpha_complex_2alpha_complex_3d_persistence_8cpp-example.html">
+ * Alpha_complex/alpha_complex_3d_persistence.cpp</a>
+ * \li <a href="_alpha_complex_2exact_alpha_complex_3d_persistence_8cpp-example.html">
+ * Alpha_complex/exact_alpha_complex_3d_persistence.cpp</a>
+ * \li <a href="_alpha_complex_2weighted_alpha_complex_3d_persistence_8cpp-example.html">
+ * Alpha_complex/weighted_alpha_complex_3d_persistence.cpp</a>
* \li <a href="_simplex_tree_2example_alpha_shapes_3_simplex_tree_from_off_file_8cpp-example.html">
* Simplex_tree/example_alpha_shapes_3_simplex_tree_from_off_file.cpp</a>
*
- * The following example requires CGAL version &ge; 4.6.0:
- * \li <a href="_witness_complex_2witness_complex_sphere_8cpp-example.html">
- * Witness_complex/witness_complex_sphere.cpp</a>
- *
+ * The following examples/utilities require CGAL version &ge; 4.6.0:
+ * \li <a href="_witness_complex_2strong_witness_persistence_8cpp-example.html">
+ * Witness_complex/strong_witness_persistence.cpp</a>
+ * \li <a href="_witness_complex_2weak_witness_persistence_8cpp-example.html">
+ * Witness_complex/weak_witness_persistence.cpp</a>
+ * \li <a href="_witness_complex_2example_strong_witness_complex_off_8cpp-example.html">
+ * Witness_complex/example_strong_witness_complex_off.cpp</a>
+ * \li <a href="_witness_complex_2example_witness_complex_off_8cpp-example.html">
+ * Witness_complex/example_witness_complex_off.cpp</a>
+ * \li <a href="_witness_complex_2example_witness_complex_sphere_8cpp-example.html">
+ * Witness_complex/example_witness_complex_sphere.cpp</a>
+ *
* The following example requires CGAL version &ge; 4.7.0:
* \li <a href="_alpha_complex_2_alpha_complex_from_off_8cpp-example.html">
* Alpha_complex/Alpha_complex_from_off.cpp</a>
* \li <a href="_alpha_complex_2_alpha_complex_from_points_8cpp-example.html">
* Alpha_complex/Alpha_complex_from_points.cpp</a>
- * \li <a href="_persistent_cohomology_2alpha_complex_persistence_8cpp-example.html">
- * Persistent_cohomology/alpha_complex_persistence.cpp</a>
- * \li <a href="_persistent_cohomology_2periodic_alpha_complex_3d_persistence_8cpp-example.html">
- * Persistent_cohomology/periodic_alpha_complex_3d_persistence.cpp</a>
+ * \li <a href="_alpha_complex_2alpha_complex_persistence_8cpp-example.html">
+ * Alpha_complex/alpha_complex_persistence.cpp</a>
+ * \li <a href="_alpha_complex_2periodic_alpha_complex_3d_persistence_8cpp-example.html">
+ * Alpha_complex/periodic_alpha_complex_3d_persistence.cpp</a>
* \li <a href="_persistent_cohomology_2custom_persistence_sort_8cpp-example.html">
* Persistent_cohomology/custom_persistence_sort.cpp</a>
*
@@ -319,8 +327,8 @@ make doxygen
* Bottleneck_distance/alpha_rips_persistence_bottleneck_distance.cpp.cpp</a>
* \li <a href="_bottleneck_distance_2bottleneck_basic_example_8cpp-example.html">
* Bottleneck_distance/bottleneck_basic_example.cpp</a>
- * \li <a href="_bottleneck_distance_2bottleneck_read_file_example_8cpp-example.html">
- * Bottleneck_distance/bottleneck_read_file_example.cpp</a>
+ * \li <a href="_bottleneck_distance_2bottleneck_read_file_8cpp-example.html">
+ * Bottleneck_distance/bottleneck_read_file.cpp</a>
* \li <a href="_spatial_searching_2example_spatial_searching_8cpp-example.html">
* Spatial_searching/example_spatial_searching.cpp</a>
* \li <a href="_subsampling_2example_choose_n_farthest_points_8cpp-example.html">
@@ -341,18 +349,18 @@ make doxygen
* <a target="_blank" href="http://eigen.tuxfamily.org/">Eigen3</a> is a C++ template library for linear algebra:
* matrices, vectors, numerical solvers, and related algorithms.
*
- * The following example requires the <a target="_blank" href="http://eigen.tuxfamily.org/">Eigen3</a> and will not be
+ * The following examples/utilities require the <a target="_blank" href="http://eigen.tuxfamily.org/">Eigen3</a> and will not be
* built if Eigen3 is not installed:
* \li <a href="_alpha_complex_2_alpha_complex_from_off_8cpp-example.html">
* Alpha_complex/Alpha_complex_from_off.cpp</a>
* \li <a href="_alpha_complex_2_alpha_complex_from_points_8cpp-example.html">
* Alpha_complex/Alpha_complex_from_points.cpp</a>
+ * \li <a href="_alpha_complex_2alpha_complex_persistence_8cpp-example.html">
+ * Alpha_complex/alpha_complex_persistence.cpp</a>
+ * \li <a href="_alpha_complex_2periodic_alpha_complex_3d_persistence_8cpp-example.html">
+ * Alpha_complex/periodic_alpha_complex_3d_persistence.cpp</a>
* \li <a href="_bottleneck_distance_2alpha_rips_persistence_bottleneck_distance_8cpp-example.html">
* Bottleneck_distance/alpha_rips_persistence_bottleneck_distance.cpp.cpp</a>
- * \li <a href="_persistent_cohomology_2alpha_complex_persistence_8cpp-example.html">
- * Persistent_cohomology/alpha_complex_persistence.cpp</a>
- * \li <a href="_persistent_cohomology_2periodic_alpha_complex_3d_persistence_8cpp-example.html">
- * Persistent_cohomology/periodic_alpha_complex_3d_persistence.cpp</a>
* \li <a href="_persistent_cohomology_2custom_persistence_sort_8cpp-example.html">
* Persistent_cohomology/custom_persistence_sort.cpp</a>
* \li <a href="_spatial_searching_2example_spatial_searching_8cpp-example.html">
@@ -369,6 +377,16 @@ make doxygen
* Tangential_complex/example_basic.cpp</a>
* \li <a href="_tangential_complex_2example_with_perturb_8cpp-example.html">
* Tangential_complex/example_with_perturb.cpp</a>
+ * \li <a href="_witness_complex_2strong_witness_persistence_8cpp-example.html">
+ * Witness_complex/strong_witness_persistence.cpp</a>
+ * \li <a href="_witness_complex_2weak_witness_persistence_8cpp-example.html">
+ * Witness_complex/weak_witness_persistence.cpp</a>
+ * \li <a href="_witness_complex_2example_strong_witness_complex_off_8cpp-example.html">
+ * Witness_complex/example_strong_witness_complex_off.cpp</a>
+ * \li <a href="_witness_complex_2example_witness_complex_off_8cpp-example.html">
+ * Witness_complex/example_witness_complex_off.cpp</a>
+ * \li <a href="_witness_complex_2example_witness_complex_sphere_8cpp-example.html">
+ * Witness_complex/example_witness_complex_sphere.cpp</a>
*
* \subsection tbb Threading Building Blocks
* <a target="_blank" href="https://www.threadingbuildingblocks.org/">Intel&reg; TBB</a> lets you easily write parallel
@@ -377,21 +395,27 @@ make doxygen
*
* Having Intel&reg; TBB installed is recommended to parallelize and accelerate some GUDHI computations.
*
- * The following examples are using Intel&reg; TBB if installed:
+ * The following examples/utilities are using Intel&reg; TBB if installed:
* \li <a href="_alpha_complex_2_alpha_complex_from_off_8cpp-example.html">
* Alpha_complex/Alpha_complex_from_off.cpp</a>
* \li <a href="_alpha_complex_2_alpha_complex_from_points_8cpp-example.html">
* Alpha_complex/Alpha_complex_from_points.cpp</a>
+ * \li <a href="_alpha_complex_2alpha_complex_3d_persistence_8cpp-example.html">
+ * Alpha_complex/alpha_complex_3d_persistence.cpp</a>
+ * \li <a href="_alpha_complex_2alpha_complex_persistence_8cpp-example.html">
+ * Alpha_complex/alpha_complex_persistence.cpp</a>
+ * \li <a href="_alpha_complex_2exact_alpha_complex_3d_persistence_8cpp-example.html">
+ * Alpha_complex/exact_alpha_complex_3d_persistence.cpp</a>
+ * \li <a href="_alpha_complex_2periodic_alpha_complex_3d_persistence_8cpp-example.html">
+ * Alpha_complex/periodic_alpha_complex_3d_persistence.cpp</a>
+ * \li <a href="_alpha_complex_2weighted_alpha_complex_3d_persistence_8cpp-example.html">
+ * Alpha_complex/weighted_alpha_complex_3d_persistence.cpp</a>
* \li <a href="_bitmap_cubical_complex_2_bitmap_cubical_complex_8cpp-example.html">
* Bitmap_cubical_complex/Bitmap_cubical_complex.cpp</a>
* \li <a href="_bitmap_cubical_complex_2_bitmap_cubical_complex_periodic_boundary_conditions_8cpp-example.html">
* Bitmap_cubical_complex/Bitmap_cubical_complex_periodic_boundary_conditions.cpp</a>
* \li <a href="_bitmap_cubical_complex_2_random_bitmap_cubical_complex_8cpp-example.html">
* Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp</a>
- * \li <a href="_persistent_cohomology_2alpha_complex_3d_persistence_8cpp-example.html">
- * Persistent_cohomology/alpha_complex_3d_persistence.cpp</a>
- * \li <a href="_persistent_cohomology_2alpha_complex_persistence_8cpp-example.html">
- * Persistent_cohomology/alpha_complex_persistence.cpp</a>
* \li <a href="_simplex_tree_2simple_simplex_tree_8cpp-example.html">
* Simplex_tree/simple_simplex_tree.cpp</a>
* \li <a href="_simplex_tree_2example_alpha_shapes_3_simplex_tree_from_off_file_8cpp-example.html">
@@ -412,27 +436,31 @@ make doxygen
* Persistent_cohomology/persistence_from_simple_simplex_tree.cpp</a>
* \li <a href="_persistent_cohomology_2plain_homology_8cpp-example.html">
* Persistent_cohomology/plain_homology.cpp</a>
- * \li <a href="_persistent_cohomology_2rips_distance_matrix_persistence_8cpp-example.html">
- * Persistent_cohomology/rips_distance_matrix_persistence.cpp</a>
* \li <a href="_persistent_cohomology_2rips_multifield_persistence_8cpp-example.html">
* Persistent_cohomology/rips_multifield_persistence.cpp</a>
- * \li <a href="_persistent_cohomology_2rips_persistence_8cpp-example.html">
- * Persistent_cohomology/rips_persistence.cpp</a>
* \li <a href="_persistent_cohomology_2rips_persistence_step_by_step_8cpp-example.html">
* Persistent_cohomology/rips_persistence_step_by_step.cpp</a>
* \li <a href="_persistent_cohomology_2exact_alpha_complex_3d_persistence_8cpp-example.html">
* Persistent_cohomology/exact_alpha_complex_3d_persistence.cpp</a>
* \li <a href="_persistent_cohomology_2weighted_alpha_complex_3d_persistence_8cpp-example.html">
* Persistent_cohomology/weighted_alpha_complex_3d_persistence.cpp</a>
- * \li <a href="_persistent_cohomology_2periodic_alpha_complex_3d_persistence_8cpp-example.html">
- * Persistent_cohomology/periodic_alpha_complex_3d_persistence.cpp</a>
* \li <a href="_persistent_cohomology_2custom_persistence_sort_8cpp-example.html">
* Persistent_cohomology/custom_persistence_sort.cpp</a>
* \li <a href="_rips_complex_2example_one_skeleton_rips_from_points_8cpp-example.html">
* Rips_complex/example_one_skeleton_rips_from_points.cpp</a>
* \li <a href="_rips_complex_2example_rips_complex_from_off_file_8cpp-example.html">
* Rips_complex/example_rips_complex_from_off_file.cpp</a>
- *
+ * \li <a href="_rips_complex_2rips_distance_matrix_persistence_8cpp-example.html">
+ * Rips_complex/rips_distance_matrix_persistence.cpp</a>
+ * \li <a href="_rips_complex_2rips_persistence_8cpp-example.html">
+ * Rips_complex/rips_persistence.cpp</a>
+ * \li <a href="_witness_complex_2strong_witness_persistence_8cpp-example.html">
+ * Witness_complex/strong_witness_persistence.cpp</a>
+ * \li <a href="_witness_complex_2weak_witness_persistence_8cpp-example.html">
+ * Witness_complex/weak_witness_persistence.cpp</a>
+ * \li <a href="_witness_complex_2example_nearest_landmark_table_8cpp-example.html">
+ * Witness_complex/example_nearest_landmark_table.cpp</a>
+ *
* \section Contributions Bug reports and contributions
* Please help us improving the quality of the GUDHI library. You may report bugs or suggestions to:
* \verbatim Contact: gudhi-users@lists.gforge.inria.fr \endverbatim
@@ -456,9 +484,14 @@ make doxygen
/*! @file Examples
* @example Alpha_complex/Alpha_complex_from_off.cpp
* @example Alpha_complex/Alpha_complex_from_points.cpp
+ * @example Alpha_complex/alpha_complex_3d_persistence.cpp
+ * @example Alpha_complex/alpha_complex_persistence.cpp
+ * @example Alpha_complex/exact_alpha_complex_3d_persistence.cpp
+ * @example Alpha_complex/periodic_alpha_complex_3d_persistence.cpp
+ * @example Alpha_complex/weighted_alpha_complex_3d_persistence.cpp
* @example Bottleneck_distance/alpha_rips_persistence_bottleneck_distance.cpp
* @example Bottleneck_distance/bottleneck_basic_example.cpp
- * @example Bottleneck_distance/bottleneck_read_file_example.cpp
+ * @example Bottleneck_distance/bottleneck_read_file.cpp
* @example Bitmap_cubical_complex/Bitmap_cubical_complex.cpp
* @example Bitmap_cubical_complex/Bitmap_cubical_complex_periodic_boundary_conditions.cpp
* @example Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp
@@ -466,22 +499,17 @@ make doxygen
* @example common/example_CGAL_points_off_reader.cpp
* @example Contraction/Garland_heckbert.cpp
* @example Contraction/Rips_contraction.cpp
- * @example Persistent_cohomology/alpha_complex_3d_persistence.cpp
- * @example Persistent_cohomology/alpha_complex_persistence.cpp
* @example Persistent_cohomology/rips_persistence_via_boundary_matrix.cpp
- * @example Persistent_cohomology/exact_alpha_complex_3d_persistence.cpp
- * @example Persistent_cohomology/weighted_alpha_complex_3d_persistence.cpp
- * @example Persistent_cohomology/periodic_alpha_complex_3d_persistence.cpp
* @example Persistent_cohomology/persistence_from_file.cpp
* @example Persistent_cohomology/persistence_from_simple_simplex_tree.cpp
* @example Persistent_cohomology/plain_homology.cpp
* @example Persistent_cohomology/rips_multifield_persistence.cpp
- * @example Persistent_cohomology/rips_distance_matrix_persistence.cpp
- * @example Persistent_cohomology/rips_persistence.cpp
* @example Persistent_cohomology/custom_persistence_sort.cpp
* @example Persistent_cohomology/rips_persistence_step_by_step.cpp
* @example Rips_complex/example_one_skeleton_rips_from_points.cpp
* @example Rips_complex/example_rips_complex_from_off_file.cpp
+ * @example Rips_complex/rips_persistence.cpp
+ * @example Rips_complex/rips_distance_matrix_persistence.cpp
* @example Simplex_tree/mini_simplex_tree.cpp
* @example Simplex_tree/simple_simplex_tree.cpp
* @example Simplex_tree/example_alpha_shapes_3_simplex_tree_from_off_file.cpp
@@ -499,9 +527,9 @@ make doxygen
* @example Tangential_complex/example_with_perturb.cpp
* @example Witness_complex/example_nearest_landmark_table.cpp
* @example Witness_complex/example_strong_witness_complex_off.cpp
- * @example Witness_complex/example_strong_witness_persistence.cpp
* @example Witness_complex/example_witness_complex_off.cpp
- * @example Witness_complex/example_witness_complex_persistence.cpp
* @example Witness_complex/example_witness_complex_sphere.cpp
+ * @example Witness_complex/weak_witness_persistence.cpp
+ * @example Witness_complex/strong_witness_persistence.cpp
*/
diff --git a/src/common/include/gudhi/graph_simplicial_complex.h b/src/common/include/gudhi/graph_simplicial_complex.h
index 5fe7c826..d84421b2 100644
--- a/src/common/include/gudhi/graph_simplicial_complex.h
+++ b/src/common/include/gudhi/graph_simplicial_complex.h
@@ -28,6 +28,9 @@
#include <utility> // for pair<>
#include <vector>
#include <map>
+#include <tuple> // for std::tie
+
+namespace Gudhi {
/* Edge tag for Boost PropertyGraph. */
struct edge_filtration_t {
@@ -39,4 +42,64 @@ struct vertex_filtration_t {
typedef boost::vertex_property_tag kind;
};
+template <typename SimplicialComplexForProximityGraph>
+using Proximity_graph = typename boost::adjacency_list < boost::vecS, boost::vecS, boost::undirectedS
+, boost::property < vertex_filtration_t, typename SimplicialComplexForProximityGraph::Filtration_value >
+, boost::property < edge_filtration_t, typename SimplicialComplexForProximityGraph::Filtration_value >>;
+
+/** \brief Computes the proximity graph of the points.
+ *
+ * If points contains n elements, the proximity graph is the graph with n vertices, and an edge [u,v] iff the
+ * distance function between points u and v is smaller than threshold.
+ *
+ * \tparam ForwardPointRange furnishes `.begin()` and `.end()` methods.
+ *
+ * \tparam Distance furnishes `operator()(const Point& p1, const Point& p2)`, where
+ * `Point` is a point from the `ForwardPointRange`, and that returns a `Filtration_value`.
+ */
+template< typename SimplicialComplexForProximityGraph
+ , typename ForwardPointRange
+ , typename Distance >
+Proximity_graph<SimplicialComplexForProximityGraph> compute_proximity_graph(
+ const ForwardPointRange& points,
+ typename SimplicialComplexForProximityGraph::Filtration_value threshold,
+ Distance distance) {
+ using Vertex_handle = typename SimplicialComplexForProximityGraph::Vertex_handle;
+ using Filtration_value = typename SimplicialComplexForProximityGraph::Filtration_value;
+
+ std::vector<std::pair< Vertex_handle, Vertex_handle >> edges;
+ std::vector< Filtration_value > edges_fil;
+ std::map< Vertex_handle, Filtration_value > vertices;
+
+ Vertex_handle idx_u, idx_v;
+ Filtration_value fil;
+ idx_u = 0;
+ for (auto it_u = points.begin(); it_u != points.end(); ++it_u) {
+ idx_v = idx_u + 1;
+ for (auto it_v = it_u + 1; it_v != points.end(); ++it_v, ++idx_v) {
+ fil = distance(*it_u, *it_v);
+ if (fil <= threshold) {
+ edges.emplace_back(idx_u, idx_v);
+ edges_fil.push_back(fil);
+ }
+ }
+ ++idx_u;
+ }
+
+ // Points are labeled from 0 to idx_u-1
+ Proximity_graph<SimplicialComplexForProximityGraph> skel_graph(edges.begin(), edges.end(), edges_fil.begin(), idx_u);
+
+ auto vertex_prop = boost::get(vertex_filtration_t(), skel_graph);
+
+ typename boost::graph_traits<Proximity_graph<SimplicialComplexForProximityGraph>>::vertex_iterator vi, vi_end;
+ for (std::tie(vi, vi_end) = boost::vertices(skel_graph);
+ vi != vi_end; ++vi) {
+ boost::put(vertex_prop, *vi, 0.);
+ }
+
+ return skel_graph;
+}
+
+} // namespace Gudhi
+
#endif // GRAPH_SIMPLICIAL_COMPLEX_H_
diff --git a/src/common/utilities/README b/src/common/utilities/README
index dc841521..18fa8cc4 100644
--- a/src/common/utilities/README
+++ b/src/common/utilities/README
@@ -1,19 +1,19 @@
-======================= off_file_from_shape_generator ==================================
+# Pointset generator #
-Example of use :
+## `off_file_from_shape_generator` ##
-*** on|in sphere|cube|curve|torus|klein generator
+Generates a pointset and save it in an OFF file. Command-line is:
+`off_file_from_shape_generator on|in sphere|cube|curve|torus|klein <filename> <num_points> <dimension> <parameter1> <parameter2>...`
-./off_file_from_shape_generator on sphere onSphere.off 1000 3 15.2
+Warning: "on cube" generator is not available!
- => generates a onSphere.off file with 1000 points randomized on a sphere of dimension 3 and radius 15.2
+Examples:
-./off_file_from_shape_generator in sphere inSphere.off 100 2
+* Generate an onSphere.off file with 1000 points randomized on a sphere of dimension 3 and radius 15.2:
+`off_file_from_shape_generator on sphere onSphere.off 1000 3 15.2`
+
+* Generate an inSphere.off file with 100 points randomized in a sphere of dimension 2 (circle) and radius 1.0 (default):
+`off_file_from_shape_generator in sphere inSphere.off 100 2`
- => generates a inSphere.off file with 100 points randomized in a sphere of dimension 2 (circle) and radius 1.0 (default)
-
-./off_file_from_shape_generator in cube inCube.off 10000 3 5.8
-
- => generates a inCube.off file with 10000 points randomized in a cube of dimension 3 and side 5.8
-
-!! Warning: hypegenerator on cube is not available !!
+* Generates a inCube.off file with 10000 points randomized in a cube of dimension 3 and side 5.8:
+`off_file_from_shape_generator in cube inCube.off 10000 3 5.8`
diff --git a/src/cython/cython/simplex_tree.pyx b/src/cython/cython/simplex_tree.pyx
index 32b91028..8a436619 100644
--- a/src/cython/cython/simplex_tree.pyx
+++ b/src/cython/cython/simplex_tree.pyx
@@ -37,11 +37,13 @@ cdef extern from "Simplex_tree_interface.h" namespace "Gudhi":
cdef cppclass Simplex_tree_interface_full_featured "Gudhi::Simplex_tree_interface<Gudhi::Simplex_tree_options_full_featured>":
Simplex_tree()
double simplex_filtration(vector[int] simplex)
+ void assign_simplex_filtration(vector[int] simplex, double filtration)
void initialize_filtration()
int num_vertices()
int num_simplices()
void set_dimension(int dimension)
int dimension()
+ int upper_bound_dimension()
bint find_simplex(vector[int] simplex)
bint insert_simplex_and_subfaces(vector[int] simplex,
double filtration)
@@ -50,8 +52,9 @@ cdef extern from "Simplex_tree_interface.h" namespace "Gudhi":
vector[pair[vector[int], double]] get_star(vector[int] simplex)
vector[pair[vector[int], double]] get_cofaces(vector[int] simplex,
int dimension)
- void remove_maximal_simplex(vector[int] simplex)
void expansion(int max_dim)
+ void remove_maximal_simplex(vector[int] simplex)
+ bool prune_above_filtration(double filtration)
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>>":
@@ -113,15 +116,31 @@ cdef class SimplexTree:
"""
return self.thisptr.simplex_filtration(simplex)
+ def assign_filtration(self, simplex, filtration):
+ """This function assigns the simplicial complex filtration value for a
+ given N-simplex.
+
+ :param simplex: The N-simplex, represented by a list of vertex.
+ :type simplex: list of int.
+ :param filtration: The simplicial complex filtration value.
+ :type filtration: float
+ """
+ self.thisptr.assign_simplex_filtration(simplex, filtration)
+
def initialize_filtration(self):
"""This function initializes and sorts the simplicial complex
filtration vector.
.. note::
- This function must be launched before persistence, betti_numbers,
- persistent_betti_numbers or get_filtration after inserting or
- removing simplices.
+ This function must be launched before
+ :func:`persistence()<gudhi.SimplexTree.persistence>`,
+ :func:`betti_numbers()<gudhi.SimplexTree.betti_numbers>`,
+ :func:`persistent_betti_numbers()<gudhi.SimplexTree.persistent_betti_numbers>`,
+ or :func:`get_filtration()<gudhi.SimplexTree.get_filtration>`
+ after :func:`inserting<gudhi.SimplexTree.insert>` or
+ :func:`removing<gudhi.SimplexTree.remove_maximal_simplex>`
+ simplices.
"""
self.thisptr.initialize_filtration()
@@ -148,21 +167,42 @@ cdef class SimplexTree:
:returns: the simplicial complex dimension.
:rtype: int
+
+ .. note::
+
+ This function is not constant time because it can recompute
+ dimension if required (can be triggered by
+ :func:`remove_maximal_simplex()<gudhi.SimplexTree.remove_maximal_simplex>`
+ or
+ :func:`prune_above_filtration()<gudhi.SimplexTree.prune_above_filtration>`
+ methods).
"""
return self.thisptr.dimension()
- def set_dimension(self, dimension):
- """This function sets the dimension of the simplicial complex.
+ def upper_bound_dimension(self):
+ """This function returns a valid dimension upper bound of the
+ simplicial complex.
- insert and remove_maximal_simplex functions do not update dimension
- value of the `SimplexTree`.
+ :returns: an upper bound on the dimension of the simplicial complex.
+ :rtype: int
+ """
+ return self.thisptr.upper_bound_dimension()
- `AlphaComplex`, `RipsComplex`, `TangentialComplex` and `WitnessComplex`
- automatically sets the correct dimension in their `create_simplex_tree`
- functions.
+ def set_dimension(self, dimension):
+ """This function sets the dimension of the simplicial complex.
:param dimension: The new dimension value.
:type dimension: int.
+
+ .. note::
+
+ This function must be used with caution because it disables
+ dimension recomputation when required
+ (this recomputation can be triggered by
+ :func:`remove_maximal_simplex()<gudhi.SimplexTree.remove_maximal_simplex>`
+ or
+ :func:`prune_above_filtration()<gudhi.SimplexTree.prune_above_filtration>`
+ ).
"""
self.thisptr.set_dimension(<int>dimension)
@@ -286,9 +326,57 @@ cdef class SimplexTree:
:param simplex: The N-simplex, represented by a list of vertex.
:type simplex: list of int.
+
+ .. note::
+
+ Be aware that removing is shifting data in a flat_map
+ (:func:`initialize_filtration()<gudhi.SimplexTree.initialize_filtration>` to be done).
+
+ .. note::
+
+ The dimension of the simplicial complex may be lower after calling
+ remove_maximal_simplex than it was before. However,
+ :func:`upper_bound_dimension()<gudhi.SimplexTree.upper_bound_dimension>`
+ method will return the old value, which
+ remains a valid upper bound. If you care, you can call
+ :func:`dimension()<gudhi.SimplexTree.dimension>`
+ to recompute the exact dimension.
"""
self.thisptr.remove_maximal_simplex(simplex)
+ def prune_above_filtration(self, filtration):
+ """Prune above filtration value given as parameter.
+
+ :param filtration: Maximum threshold value.
+ :type filtration: float.
+ :returns: The filtration modification information.
+ :rtype: bint
+
+
+ .. note::
+
+ Some simplex tree functions require the filtration to be valid.
+ prune_above_filtration function is not launching
+ :func:`initialize_filtration()<gudhi.SimplexTree.initialize_filtration>`
+ but returns the filtration modification
+ information. If the complex has changed , please call
+ :func:`initialize_filtration()<gudhi.SimplexTree.initialize_filtration>`
+ to recompute it.
+
+ .. note::
+
+ Note that the dimension of the simplicial complex may be lower
+ after calling
+ :func:`prune_above_filtration()<gudhi.SimplexTree.prune_above_filtration>`
+ than it was before. However,
+ :func:`upper_bound_dimension()<gudhi.SimplexTree.upper_bound_dimension>`
+ will return the old value, which remains a
+ valid upper bound. If you care, you can call
+ :func:`dimension()<gudhi.SimplexTree.dimension>`
+ method to recompute the exact dimension.
+ """
+ return self.thisptr.prune_above_filtration(filtration)
+
def expansion(self, max_dim):
"""Expands the Simplex_tree containing only its one skeleton
until dimension max_dim.
@@ -336,8 +424,9 @@ cdef class SimplexTree:
:returns: The Betti numbers ([B0, B1, ..., Bn]).
:rtype: list of int
- :note: betti_numbers function requires persistence function to be
- launched first.
+ :note: betti_numbers function requires
+ :func:`persistence()<gudhi.SimplexTree.persistence>`
+ function to be launched first.
"""
cdef vector[int] bn_result
if self.pcohptr != NULL:
@@ -361,7 +450,8 @@ cdef class SimplexTree:
:returns: The persistent Betti numbers ([B0, B1, ..., Bn]).
:rtype: list of int
- :note: persistent_betti_numbers function requires persistence
+ :note: persistent_betti_numbers function requires
+ :func:`persistence()<gudhi.SimplexTree.persistence>`
function to be launched first.
"""
cdef vector[int] pbn_result
@@ -381,8 +471,9 @@ cdef class SimplexTree:
:returns: The persistence intervals.
:rtype: list of pair of float
- :note: intervals_in_dim function requires persistence function to be
- launched first.
+ :note: intervals_in_dim function requires
+ :func:`persistence()<gudhi.SimplexTree.persistence>`
+ function to be launched first.
"""
cdef vector[pair[double,double]] intervals_result
if self.pcohptr != NULL:
@@ -399,8 +490,9 @@ cdef class SimplexTree:
:param persistence_file: The specific dimension.
:type persistence_file: string.
- :note: intervals_in_dim function requires persistence function to be
- launched first.
+ :note: intervals_in_dim function requires
+ :func:`persistence()<gudhi.SimplexTree.persistence>`
+ function to be launched first.
"""
if self.pcohptr != NULL:
if persistence_file != '':
diff --git a/src/cython/include/Simplex_tree_interface.h b/src/cython/include/Simplex_tree_interface.h
index 09e7e992..54a4f824 100644
--- a/src/cython/include/Simplex_tree_interface.h
+++ b/src/cython/include/Simplex_tree_interface.h
@@ -52,6 +52,10 @@ class Simplex_tree_interface : public Simplex_tree<SimplexTreeOptions> {
return (Base::find(vh) != Base::null_simplex());
}
+ void assign_simplex_filtration(const Simplex& vh, Filtration_value filtration) {
+ Base::assign_filtration(Base::find(vh), filtration);
+ }
+
bool insert(const Simplex& simplex, Filtration_value filtration = 0) {
Insertion_result result = Base::insert_simplex_and_subfaces(simplex, filtration);
return (result.second);
diff --git a/src/cython/test/test_simplex_tree.py b/src/cython/test/test_simplex_tree.py
index 801d52b7..6dec5d94 100755
--- a/src/cython/test/test_simplex_tree.py
+++ b/src/cython/test/test_simplex_tree.py
@@ -134,3 +134,30 @@ def test_expansion():
([1, 2], 0.5), ([0, 1, 2], 0.5), ([1, 2, 3], 0.5), ([5], 0.6), ([6], 0.6),
([5, 6], 0.6), ([4], 0.7), ([2, 4], 0.7), ([0, 3], 0.8), ([0, 1, 3], 0.8),
([0, 2, 3], 0.8), ([0, 1, 2, 3], 0.8), ([4, 6], 0.9), ([3, 6], 1.0)]
+
+def test_automatic_dimension():
+ st = SimplexTree()
+ assert st.__is_defined() == True
+ assert st.__is_persistence_defined() == False
+
+ # insert test
+ assert st.insert([0,1,3], filtration=0.5) == True
+ assert st.insert([0,1,2], filtration=1.) == True
+
+ assert st.num_vertices() == 4
+ assert st.num_simplices() == 11
+
+ assert st.dimension() == 2
+ assert st.upper_bound_dimension() == 2
+
+ assert st.prune_above_filtration(0.6) == True
+ assert st.dimension() == 2
+ assert st.upper_bound_dimension() == 2
+
+ st.assign_filtration([0, 1, 3], 0.7)
+ assert st.filtration([0, 1, 3]) == 0.7
+
+ st.remove_maximal_simplex([0, 1, 3])
+ assert st.upper_bound_dimension() == 2
+ assert st.dimension() == 1
+ assert st.upper_bound_dimension() == 1