summaryrefslogtreecommitdiff
path: root/src
diff options
context:
space:
mode:
Diffstat (limited to 'src')
-rw-r--r--src/Simplex_tree/example/simple_simplex_tree.cpp13
-rw-r--r--src/Simplex_tree/include/gudhi/Simplex_tree.h6
-rw-r--r--src/Simplex_tree/test/CMakeLists.txt6
-rw-r--r--src/Simplex_tree/test/simplex_tree_make_filtration_non_decreasing_unit_test.cpp148
-rw-r--r--src/Simplex_tree/test/simplex_tree_unit_test.cpp84
-rw-r--r--src/python/CMakeLists.txt5
-rw-r--r--src/python/doc/point_cloud.rst8
-rwxr-xr-xsrc/python/example/alpha_complex_from_points_example.py8
-rwxr-xr-xsrc/python/example/rips_complex_from_points_example.py5
-rwxr-xr-xsrc/python/example/simplex_tree_example.py9
-rw-r--r--src/python/gudhi/point_cloud/__init__.py0
-rw-r--r--src/python/gudhi/point_cloud/timedelay.py95
-rw-r--r--src/python/gudhi/simplex_tree.pxd26
-rw-r--r--src/python/gudhi/simplex_tree.pyx52
-rw-r--r--src/python/include/Simplex_tree_interface.h64
-rwxr-xr-xsrc/python/test/test_alpha_complex.py5
-rwxr-xr-xsrc/python/test/test_euclidean_witness_complex.py6
-rwxr-xr-xsrc/python/test/test_rips_complex.py6
-rwxr-xr-xsrc/python/test/test_simplex_tree.py25
-rwxr-xr-xsrc/python/test/test_tangential_complex.py3
-rwxr-xr-xsrc/python/test/test_time_delay.py43
21 files changed, 467 insertions, 150 deletions
diff --git a/src/Simplex_tree/example/simple_simplex_tree.cpp b/src/Simplex_tree/example/simple_simplex_tree.cpp
index 4353939f..47ea7e36 100644
--- a/src/Simplex_tree/example/simple_simplex_tree.cpp
+++ b/src/Simplex_tree/example/simple_simplex_tree.cpp
@@ -166,10 +166,19 @@ int main(int argc, char* const argv[]) {
// ++ GENERAL VARIABLE SET
std::cout << "********************************************************************\n";
- // Display the Simplex_tree - Can not be done in the middle of 2 inserts
std::cout << "* The complex contains " << simplexTree.num_simplices() << " simplices\n";
std::cout << " - dimension " << simplexTree.dimension() << "\n";
- std::cout << "* Iterator on Simplices in the filtration, with [filtration value]:\n";
+ std::cout << "* Iterator on simplices, with [filtration value]:\n";
+ for (Simplex_tree::Simplex_handle f_simplex : simplexTree.complex_simplex_range()) {
+ std::cout << " "
+ << "[" << simplexTree.filtration(f_simplex) << "] ";
+ for (auto vertex : simplexTree.simplex_vertex_range(f_simplex)) std::cout << "(" << vertex << ")";
+ std::cout << std::endl;
+ }
+
+ std::cout << "********************************************************************\n";
+ // Can not be done in the middle of 2 inserts
+ std::cout << "* Iterator on simplices sorted by filtration values, with [filtration value]:\n";
for (auto f_simplex : simplexTree.filtration_simplex_range()) {
std::cout << " "
<< "[" << simplexTree.filtration(f_simplex) << "] ";
diff --git a/src/Simplex_tree/include/gudhi/Simplex_tree.h b/src/Simplex_tree/include/gudhi/Simplex_tree.h
index 76608008..7b39a500 100644
--- a/src/Simplex_tree/include/gudhi/Simplex_tree.h
+++ b/src/Simplex_tree/include/gudhi/Simplex_tree.h
@@ -1317,6 +1317,8 @@ class Simplex_tree {
* \post Some simplex tree functions require the filtration to be valid. `make_filtration_non_decreasing()`
* function is not launching `initialize_filtration()` but returns the filtration modification information. If the
* complex has changed , please call `initialize_filtration()` to recompute it.
+ *
+ * If a simplex has a `NaN` filtration value, it is considered lower than any other defined filtration value.
*/
bool make_filtration_non_decreasing() {
bool modified = false;
@@ -1347,7 +1349,9 @@ class Simplex_tree {
});
Filtration_value max_filt_border_value = filtration(*max_border);
- if (simplex.second.filtration() < max_filt_border_value) {
+ // Replacing if(f<max) with if(!(f>=max)) would mean that if f is NaN, we replace it with the max of the children.
+ // That seems more useful than keeping NaN.
+ if (!(simplex.second.filtration() >= max_filt_border_value)) {
// Store the filtration modification information
modified = true;
simplex.second.assign_filtration(max_filt_border_value);
diff --git a/src/Simplex_tree/test/CMakeLists.txt b/src/Simplex_tree/test/CMakeLists.txt
index 8b9163f5..cf2b0153 100644
--- a/src/Simplex_tree/test/CMakeLists.txt
+++ b/src/Simplex_tree/test/CMakeLists.txt
@@ -28,3 +28,9 @@ if (TBB_FOUND)
target_link_libraries(Simplex_tree_ctor_and_move_test_unit ${TBB_LIBRARIES})
endif()
gudhi_add_boost_test(Simplex_tree_ctor_and_move_test_unit)
+
+add_executable ( Simplex_tree_make_filtration_non_decreasing_test_unit simplex_tree_make_filtration_non_decreasing_unit_test.cpp )
+if (TBB_FOUND)
+ target_link_libraries(Simplex_tree_make_filtration_non_decreasing_test_unit ${TBB_LIBRARIES})
+endif()
+gudhi_add_boost_test(Simplex_tree_make_filtration_non_decreasing_test_unit)
diff --git a/src/Simplex_tree/test/simplex_tree_make_filtration_non_decreasing_unit_test.cpp b/src/Simplex_tree/test/simplex_tree_make_filtration_non_decreasing_unit_test.cpp
new file mode 100644
index 00000000..4697ec05
--- /dev/null
+++ b/src/Simplex_tree/test/simplex_tree_make_filtration_non_decreasing_unit_test.cpp
@@ -0,0 +1,148 @@
+/* This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
+ * See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
+ * Author(s): Vincent Rouvreau
+ *
+ * Copyright (C) 2020 Inria
+ *
+ * Modification(s):
+ * - YYYY/MM Author: Description of the modification
+ */
+
+#include <iostream>
+#include <limits> // for NaN
+#include <cmath> // for isNaN
+
+#define BOOST_TEST_DYN_LINK
+#define BOOST_TEST_MODULE "simplex_tree_make_filtration_non_decreasing"
+#include <boost/test/unit_test.hpp>
+#include <boost/mpl/list.hpp>
+
+// ^
+// /!\ Nothing else from Simplex_tree shall be included to test includes are well defined.
+#include "gudhi/Simplex_tree.h"
+
+using namespace Gudhi;
+
+typedef boost::mpl::list<Simplex_tree<>, Simplex_tree<Simplex_tree_options_fast_persistence>> list_of_tested_variants;
+
+BOOST_AUTO_TEST_CASE_TEMPLATE(make_filtration_non_decreasing, typeST, list_of_tested_variants) {
+ typeST st;
+
+ st.insert_simplex_and_subfaces({2, 1, 0}, 2.0);
+ st.insert_simplex_and_subfaces({3, 0}, 2.0);
+ st.insert_simplex_and_subfaces({3, 4, 5}, 2.0);
+
+ /* Inserted simplex: */
+ /* 1 */
+ /* o */
+ /* /X\ */
+ /* o---o---o---o */
+ /* 2 0 3\X/4 */
+ /* o */
+ /* 5 */
+
+ std::cout << "Check default insertion ensures the filtration values are non decreasing" << std::endl;
+ BOOST_CHECK(!st.make_filtration_non_decreasing());
+
+ // Because of non decreasing property of simplex tree, { 0 } , { 1 } and { 0, 1 } are going to be set from value 2.0
+ // to 1.0
+ st.insert_simplex_and_subfaces({0, 1, 6, 7}, 1.0);
+
+ // Inserted simplex:
+ // 1 6
+ // o---o
+ // /X\7/
+ // o---o---o---o
+ // 2 0 3\X/4
+ // o
+ // 5
+
+ std::cout << "Check default second insertion ensures the filtration values are non decreasing" << std::endl;
+ BOOST_CHECK(!st.make_filtration_non_decreasing());
+
+ // Copy original simplex tree
+ typeST st_copy = st;
+
+ // Modify specific values for st to become like st_copy thanks to make_filtration_non_decreasing
+ st.assign_filtration(st.find({0,1,6,7}), 0.8);
+ st.assign_filtration(st.find({0,1,6}), 0.9);
+ st.assign_filtration(st.find({0,6}), 0.6);
+ st.assign_filtration(st.find({3,4,5}), 1.2);
+ st.assign_filtration(st.find({3,4}), 1.1);
+ st.assign_filtration(st.find({4,5}), 1.99);
+
+ std::cout << "Check the simplex_tree is rolled back in case of decreasing filtration values" << std::endl;
+ BOOST_CHECK(st.make_filtration_non_decreasing());
+ BOOST_CHECK(st == st_copy);
+
+ // Other simplex tree
+ typeST st_other;
+ st_other.insert_simplex_and_subfaces({2, 1, 0}, 3.0); // This one is different from st
+ st_other.insert_simplex_and_subfaces({3, 0}, 2.0);
+ st_other.insert_simplex_and_subfaces({3, 4, 5}, 2.0);
+ st_other.insert_simplex_and_subfaces({0, 1, 6, 7}, 1.0);
+
+ // Modify specific values for st to become like st_other thanks to make_filtration_non_decreasing
+ st.assign_filtration(st.find({2}), 3.0);
+ // By modifying just the simplex {2}
+ // {0,1,2}, {1,2} and {0,2} will be modified
+
+ std::cout << "Check the simplex_tree is repaired in case of decreasing filtration values" << std::endl;
+ BOOST_CHECK(st.make_filtration_non_decreasing());
+ BOOST_CHECK(st == st_other);
+
+ // Modify specific values for st still to be non-decreasing
+ st.assign_filtration(st.find({0,1,2}), 10.0);
+ st.assign_filtration(st.find({0,2}), 9.0);
+ st.assign_filtration(st.find({0,1,6,7}), 50.0);
+ st.assign_filtration(st.find({0,1,6}), 49.0);
+ st.assign_filtration(st.find({0,1,7}), 48.0);
+ // Other copy simplex tree
+ typeST st_other_copy = st;
+
+ std::cout << "Check the simplex_tree is not modified in case of non-decreasing filtration values" << std::endl;
+ BOOST_CHECK(!st.make_filtration_non_decreasing());
+ BOOST_CHECK(st == st_other_copy);
+
+}
+
+BOOST_AUTO_TEST_CASE_TEMPLATE(make_filtration_non_decreasing_on_nan_values, typeST, list_of_tested_variants) {
+ typeST st;
+
+ st.insert_simplex_and_subfaces({2, 1, 0}, std::numeric_limits<double>::quiet_NaN());
+ st.insert_simplex_and_subfaces({3, 0}, std::numeric_limits<double>::quiet_NaN());
+ st.insert_simplex_and_subfaces({3, 4, 5}, std::numeric_limits<double>::quiet_NaN());
+
+ /* Inserted simplex: */
+ /* 1 */
+ /* o */
+ /* /X\ */
+ /* o---o---o---o */
+ /* 2 0 3\X/4 */
+ /* o */
+ /* 5 */
+
+ std::cout << "SPECIFIC CASE:" << std::endl;
+ std::cout << "Insertion with NaN values does not ensure the filtration values are non decreasing" << std::endl;
+ st.make_filtration_non_decreasing();
+
+ std::cout << "Check all filtration values are NaN" << std::endl;
+ for (auto f_simplex : st.complex_simplex_range()) {
+ BOOST_CHECK(std::isnan(st.filtration(f_simplex)));
+ }
+
+ st.assign_filtration(st.find({0}), 0.);
+ st.assign_filtration(st.find({1}), 0.);
+ st.assign_filtration(st.find({2}), 0.);
+ st.assign_filtration(st.find({3}), 0.);
+ st.assign_filtration(st.find({4}), 0.);
+ st.assign_filtration(st.find({5}), 0.);
+
+ std::cout << "Check make_filtration_non_decreasing is modifying the simplicial complex" << std::endl;
+ BOOST_CHECK(st.make_filtration_non_decreasing());
+
+ std::cout << "Check all filtration values are now defined" << std::endl;
+ for (auto f_simplex : st.complex_simplex_range()) {
+ BOOST_CHECK(!std::isnan(st.filtration(f_simplex)));
+ }
+} \ No newline at end of file
diff --git a/src/Simplex_tree/test/simplex_tree_unit_test.cpp b/src/Simplex_tree/test/simplex_tree_unit_test.cpp
index 58bfa8db..e739ad0a 100644
--- a/src/Simplex_tree/test/simplex_tree_unit_test.cpp
+++ b/src/Simplex_tree/test/simplex_tree_unit_test.cpp
@@ -791,90 +791,6 @@ BOOST_AUTO_TEST_CASE(non_contiguous) {
BOOST_CHECK(++i == std::end(b));
}
-BOOST_AUTO_TEST_CASE(make_filtration_non_decreasing) {
- std::cout << "********************************************************************" << std::endl;
- std::cout << "MAKE FILTRATION NON DECREASING" << std::endl;
- typedef Simplex_tree<> typeST;
- typeST st;
-
- st.insert_simplex_and_subfaces({2, 1, 0}, 2.0);
- st.insert_simplex_and_subfaces({3, 0}, 2.0);
- st.insert_simplex_and_subfaces({3, 4, 5}, 2.0);
-
- /* Inserted simplex: */
- /* 1 */
- /* o */
- /* /X\ */
- /* o---o---o---o */
- /* 2 0 3\X/4 */
- /* o */
- /* 5 */
-
- std::cout << "Check default insertion ensures the filtration values are non decreasing" << std::endl;
- BOOST_CHECK(!st.make_filtration_non_decreasing());
-
- // Because of non decreasing property of simplex tree, { 0 } , { 1 } and { 0, 1 } are going to be set from value 2.0
- // to 1.0
- st.insert_simplex_and_subfaces({0, 1, 6, 7}, 1.0);
-
- // Inserted simplex:
- // 1 6
- // o---o
- // /X\7/
- // o---o---o---o
- // 2 0 3\X/4
- // o
- // 5
-
- std::cout << "Check default second insertion ensures the filtration values are non decreasing" << std::endl;
- BOOST_CHECK(!st.make_filtration_non_decreasing());
-
- // Copy original simplex tree
- typeST st_copy = st;
-
- // Modify specific values for st to become like st_copy thanks to make_filtration_non_decreasing
- st.assign_filtration(st.find({0,1,6,7}), 0.8);
- st.assign_filtration(st.find({0,1,6}), 0.9);
- st.assign_filtration(st.find({0,6}), 0.6);
- st.assign_filtration(st.find({3,4,5}), 1.2);
- st.assign_filtration(st.find({3,4}), 1.1);
- st.assign_filtration(st.find({4,5}), 1.99);
-
- std::cout << "Check the simplex_tree is rolled back in case of decreasing filtration values" << std::endl;
- BOOST_CHECK(st.make_filtration_non_decreasing());
- BOOST_CHECK(st == st_copy);
-
- // Other simplex tree
- typeST st_other;
- st_other.insert_simplex_and_subfaces({2, 1, 0}, 3.0); // This one is different from st
- st_other.insert_simplex_and_subfaces({3, 0}, 2.0);
- st_other.insert_simplex_and_subfaces({3, 4, 5}, 2.0);
- st_other.insert_simplex_and_subfaces({0, 1, 6, 7}, 1.0);
-
- // Modify specific values for st to become like st_other thanks to make_filtration_non_decreasing
- st.assign_filtration(st.find({2}), 3.0);
- // By modifying just the simplex {2}
- // {0,1,2}, {1,2} and {0,2} will be modified
-
- std::cout << "Check the simplex_tree is repaired in case of decreasing filtration values" << std::endl;
- BOOST_CHECK(st.make_filtration_non_decreasing());
- BOOST_CHECK(st == st_other);
-
- // Modify specific values for st still to be non-decreasing
- st.assign_filtration(st.find({0,1,2}), 10.0);
- st.assign_filtration(st.find({0,2}), 9.0);
- st.assign_filtration(st.find({0,1,6,7}), 50.0);
- st.assign_filtration(st.find({0,1,6}), 49.0);
- st.assign_filtration(st.find({0,1,7}), 48.0);
- // Other copy simplex tree
- typeST st_other_copy = st;
-
- std::cout << "Check the simplex_tree is not modified in case of non-decreasing filtration values" << std::endl;
- BOOST_CHECK(!st.make_filtration_non_decreasing());
- BOOST_CHECK(st == st_other_copy);
-
-}
-
typedef boost::mpl::list<boost::adjacency_list<boost::setS, boost::vecS, boost::directedS,
boost::property<vertex_filtration_t, double>,
diff --git a/src/python/CMakeLists.txt b/src/python/CMakeLists.txt
index 20e72a5f..22af3ec9 100644
--- a/src/python/CMakeLists.txt
+++ b/src/python/CMakeLists.txt
@@ -56,6 +56,7 @@ if(PYTHONINTERP_FOUND)
# Modules that should not be auto-imported in __init__.py
set(GUDHI_PYTHON_MODULES_EXTRA "${GUDHI_PYTHON_MODULES_EXTRA}'representations', ")
set(GUDHI_PYTHON_MODULES_EXTRA "${GUDHI_PYTHON_MODULES_EXTRA}'wasserstein', ")
+ set(GUDHI_PYTHON_MODULES_EXTRA "${GUDHI_PYTHON_MODULES_EXTRA}'point_cloud', ")
add_gudhi_debug_info("Python version ${PYTHON_VERSION_STRING}")
add_gudhi_debug_info("Cython version ${CYTHON_VERSION}")
@@ -226,6 +227,7 @@ if(PYTHONINTERP_FOUND)
file(COPY "gudhi/persistence_graphical_tools.py" DESTINATION "${CMAKE_CURRENT_BINARY_DIR}/gudhi")
file(COPY "gudhi/representations" DESTINATION "${CMAKE_CURRENT_BINARY_DIR}/gudhi/")
file(COPY "gudhi/wasserstein.py" DESTINATION "${CMAKE_CURRENT_BINARY_DIR}/gudhi")
+ file(COPY "gudhi/point_cloud" DESTINATION "${CMAKE_CURRENT_BINARY_DIR}/gudhi")
add_custom_command(
OUTPUT gudhi.so
@@ -404,6 +406,9 @@ if(PYTHONINTERP_FOUND)
add_gudhi_py_test(test_representations)
endif()
+ # Time Delay
+ add_gudhi_py_test(test_time_delay)
+
# Documentation generation is available through sphinx - requires all modules
if(SPHINX_PATH)
if(MATPLOTLIB_FOUND)
diff --git a/src/python/doc/point_cloud.rst b/src/python/doc/point_cloud.rst
index d668428a..c0d4b303 100644
--- a/src/python/doc/point_cloud.rst
+++ b/src/python/doc/point_cloud.rst
@@ -20,3 +20,11 @@ Subsampling
:members:
:special-members:
:show-inheritance:
+
+TimeDelayEmbedding
+------------------
+
+.. autoclass:: gudhi.point_cloud.timedelay.TimeDelayEmbedding
+ :members:
+ :special-members: __call__
+
diff --git a/src/python/example/alpha_complex_from_points_example.py b/src/python/example/alpha_complex_from_points_example.py
index 844d7a82..73faf17c 100755
--- a/src/python/example/alpha_complex_from_points_example.py
+++ b/src/python/example/alpha_complex_from_points_example.py
@@ -46,8 +46,14 @@ if simplex_tree.find([4]):
else:
print("[4] Not found...")
+# Some insertions, simplex_tree needs to initialize filtrations
+simplex_tree.initialize_filtration()
+
print("dimension=", simplex_tree.dimension())
-print("filtrations=", simplex_tree.get_filtration())
+print("filtrations=")
+for simplex_with_filtration in simplex_tree.get_filtration():
+ print("(%s, %.2f)" % tuple(simplex_with_filtration))
+
print("star([0])=", simplex_tree.get_star([0]))
print("coface([0], 1)=", simplex_tree.get_cofaces([0], 1))
diff --git a/src/python/example/rips_complex_from_points_example.py b/src/python/example/rips_complex_from_points_example.py
index 59d8a261..c05703c6 100755
--- a/src/python/example/rips_complex_from_points_example.py
+++ b/src/python/example/rips_complex_from_points_example.py
@@ -22,6 +22,9 @@ rips = gudhi.RipsComplex(points=[[0, 0], [1, 0], [0, 1], [1, 1]], max_edge_lengt
simplex_tree = rips.create_simplex_tree(max_dimension=1)
-print("filtrations=", simplex_tree.get_filtration())
+print("filtrations=")
+for simplex_with_filtration in simplex_tree.get_filtration():
+ print("(%s, %.2f)" % tuple(simplex_with_filtration))
+
print("star([0])=", simplex_tree.get_star([0]))
print("coface([0], 1)=", simplex_tree.get_cofaces([0], 1))
diff --git a/src/python/example/simplex_tree_example.py b/src/python/example/simplex_tree_example.py
index 30de00da..34833899 100755
--- a/src/python/example/simplex_tree_example.py
+++ b/src/python/example/simplex_tree_example.py
@@ -38,8 +38,15 @@ else:
print("dimension=", st.dimension())
+print("simplices=")
+for simplex_with_filtration in st.get_simplices():
+ print("(%s, %.2f)" % tuple(simplex_with_filtration))
+
st.initialize_filtration()
-print("filtration=", st.get_filtration())
+print("filtration=")
+for simplex_with_filtration in st.get_filtration():
+ print("(%s, %.2f)" % tuple(simplex_with_filtration))
+
print("filtration[1, 2]=", st.filtration([1, 2]))
print("filtration[4, 2]=", st.filtration([4, 2]))
diff --git a/src/python/gudhi/point_cloud/__init__.py b/src/python/gudhi/point_cloud/__init__.py
new file mode 100644
index 00000000..e69de29b
--- /dev/null
+++ b/src/python/gudhi/point_cloud/__init__.py
diff --git a/src/python/gudhi/point_cloud/timedelay.py b/src/python/gudhi/point_cloud/timedelay.py
new file mode 100644
index 00000000..f01df442
--- /dev/null
+++ b/src/python/gudhi/point_cloud/timedelay.py
@@ -0,0 +1,95 @@
+# This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
+# See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
+# Author(s): Martin Royer, Yuichi Ike, Masatoshi Takenouchi
+#
+# Copyright (C) 2020 Inria, Copyright (C) 2020 Fujitsu Laboratories Ltd.
+# Modification(s):
+# - YYYY/MM Author: Description of the modification
+
+import numpy as np
+
+
+class TimeDelayEmbedding:
+ """Point cloud transformation class.
+ Embeds time-series data in the R^d according to [Takens' Embedding Theorem]
+ (https://en.wikipedia.org/wiki/Takens%27s_theorem) and obtains the
+ coordinates of each point.
+
+ Parameters
+ ----------
+ dim : int, optional (default=3)
+ `d` of R^d to be embedded.
+ delay : int, optional (default=1)
+ Time-Delay embedding.
+ skip : int, optional (default=1)
+ How often to skip embedded points.
+
+ Example
+ -------
+
+ Given delay=3 and skip=2, a point cloud which is obtained by embedding
+ a scalar time-series into R^3 is as follows::
+
+ time-series = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ point cloud = [[1, 4, 7],
+ [3, 6, 9]]
+
+ Given delay=1 and skip=1, a point cloud which is obtained by embedding
+ a 2D vector time-series data into R^4 is as follows::
+
+ time-series = [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9]]
+ point cloud = [[0, 1, 2, 3],
+ [2, 3, 4, 5],
+ [4, 5, 6, 7],
+ [6, 7, 8, 9]]
+ """
+
+ def __init__(self, dim=3, delay=1, skip=1):
+ self._dim = dim
+ self._delay = delay
+ self._skip = skip
+
+ def __call__(self, ts):
+ """Transform method for single time-series data.
+
+ Parameters
+ ----------
+ ts : Iterable[float] or Iterable[Iterable[float]]
+ A single time-series data, with scalar or vector values.
+
+ Returns
+ -------
+ point cloud : n x dim numpy arrays
+ Makes point cloud from a single time-series data.
+ """
+ return self._transform(np.array(ts))
+
+ def fit(self, ts, y=None):
+ return self
+
+ def _transform(self, ts):
+ """Guts of transform method."""
+ if ts.ndim == 1:
+ repeat = self._dim
+ else:
+ assert self._dim % ts.shape[1] == 0
+ repeat = self._dim // ts.shape[1]
+ end = len(ts) - self._delay * (repeat - 1)
+ short = np.arange(0, end, self._skip)
+ vertical = np.arange(0, repeat * self._delay, self._delay)
+ return ts[np.add.outer(short, vertical)].reshape(len(short), -1)
+
+ def transform(self, ts):
+ """Transform method for multiple time-series data.
+
+ Parameters
+ ----------
+ ts : Iterable[Iterable[float]] or Iterable[Iterable[Iterable[float]]]
+ Multiple time-series data, with scalar or vector values.
+
+ Returns
+ -------
+ point clouds : list of n x dim numpy arrays
+ Makes point cloud from each time-series data.
+ """
+ return [self._transform(np.array(s)) for s in ts]
diff --git a/src/python/gudhi/simplex_tree.pxd b/src/python/gudhi/simplex_tree.pxd
index 96d14079..82f155de 100644
--- a/src/python/gudhi/simplex_tree.pxd
+++ b/src/python/gudhi/simplex_tree.pxd
@@ -21,6 +21,22 @@ cdef extern from "Simplex_tree_interface.h" namespace "Gudhi":
cdef cppclass Simplex_tree_options_full_featured:
pass
+ cdef cppclass Simplex_tree_simplex_handle "Gudhi::Simplex_tree_interface<Gudhi::Simplex_tree_options_full_featured>::Simplex_handle":
+ pass
+
+ cdef cppclass Simplex_tree_simplices_iterator "Gudhi::Simplex_tree_interface<Gudhi::Simplex_tree_options_full_featured>::Complex_simplex_iterator":
+ Simplex_tree_simplices_iterator()
+ Simplex_tree_simplex_handle& operator*()
+ Simplex_tree_simplices_iterator operator++()
+ bint operator!=(Simplex_tree_simplices_iterator)
+
+ cdef cppclass Simplex_tree_skeleton_iterator "Gudhi::Simplex_tree_interface<Gudhi::Simplex_tree_options_full_featured>::Skeleton_simplex_iterator":
+ Simplex_tree_skeleton_iterator()
+ Simplex_tree_simplex_handle& operator*()
+ Simplex_tree_skeleton_iterator operator++()
+ bint operator!=(Simplex_tree_skeleton_iterator)
+
+
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)
@@ -34,8 +50,6 @@ cdef extern from "Simplex_tree_interface.h" namespace "Gudhi":
bool find_simplex(vector[int] simplex)
bool insert_simplex_and_subfaces(vector[int] simplex,
double filtration)
- vector[pair[vector[int], double]] get_filtration()
- vector[pair[vector[int], double]] get_skeleton(int dimension)
vector[pair[vector[int], double]] get_star(vector[int] simplex)
vector[pair[vector[int], double]] get_cofaces(vector[int] simplex,
int dimension)
@@ -43,6 +57,14 @@ cdef extern from "Simplex_tree_interface.h" namespace "Gudhi":
void remove_maximal_simplex(vector[int] simplex)
bool prune_above_filtration(double filtration)
bool make_filtration_non_decreasing()
+ # Iterators over Simplex tree
+ pair[vector[int], double] get_simplex_and_filtration(Simplex_tree_simplex_handle f_simplex)
+ Simplex_tree_simplices_iterator get_simplices_iterator_begin()
+ Simplex_tree_simplices_iterator get_simplices_iterator_end()
+ vector[Simplex_tree_simplex_handle].const_iterator get_filtration_iterator_begin()
+ vector[Simplex_tree_simplex_handle].const_iterator get_filtration_iterator_end()
+ Simplex_tree_skeleton_iterator get_skeleton_iterator_begin(int dimension)
+ Simplex_tree_skeleton_iterator get_skeleton_iterator_end(int dimension)
cdef extern from "Persistent_cohomology_interface.h" namespace "Gudhi":
cdef cppclass Simplex_tree_persistence_interface "Gudhi::Persistent_cohomology_interface<Gudhi::Simplex_tree<Gudhi::Simplex_tree_options_full_featured>>":
diff --git a/src/python/gudhi/simplex_tree.pyx b/src/python/gudhi/simplex_tree.pyx
index b18627c4..c01cc905 100644
--- a/src/python/gudhi/simplex_tree.pyx
+++ b/src/python/gudhi/simplex_tree.pyx
@@ -7,6 +7,7 @@
# Modification(s):
# - YYYY/MM Author: Description of the modification
+from cython.operator import dereference, preincrement
from libc.stdint cimport intptr_t
from numpy import array as np_array
cimport simplex_tree
@@ -207,22 +208,34 @@ cdef class SimplexTree:
return self.get_ptr().insert_simplex_and_subfaces(csimplex,
<double>filtration)
- def get_filtration(self):
- """This function returns a list of all simplices with their given
+ def get_simplices(self):
+ """This function returns a generator with simplices and their given
filtration values.
+ :returns: The simplices.
+ :rtype: generator with tuples(simplex, filtration)
+ """
+ cdef Simplex_tree_simplices_iterator it = self.get_ptr().get_simplices_iterator_begin()
+ cdef Simplex_tree_simplices_iterator end = self.get_ptr().get_simplices_iterator_end()
+ cdef Simplex_tree_simplex_handle sh = dereference(it)
+
+ while it != end:
+ yield self.get_ptr().get_simplex_and_filtration(dereference(it))
+ preincrement(it)
+
+ def get_filtration(self):
+ """This function returns a generator with simplices and their given
+ filtration values sorted by increasing filtration values.
+
:returns: The simplices sorted by increasing filtration values.
- :rtype: list of tuples(simplex, filtration)
+ :rtype: generator with tuples(simplex, filtration)
"""
- cdef vector[pair[vector[int], double]] filtration \
- = self.get_ptr().get_filtration()
- ct = []
- for filtered_complex in filtration:
- v = []
- for vertex in filtered_complex.first:
- v.append(vertex)
- ct.append((v, filtered_complex.second))
- return ct
+ cdef vector[Simplex_tree_simplex_handle].const_iterator it = self.get_ptr().get_filtration_iterator_begin()
+ cdef vector[Simplex_tree_simplex_handle].const_iterator end = self.get_ptr().get_filtration_iterator_end()
+
+ while it != end:
+ yield self.get_ptr().get_simplex_and_filtration(dereference(it))
+ preincrement(it)
def get_skeleton(self, dimension):
"""This function returns the (simplices of the) skeleton of a maximum
@@ -233,15 +246,12 @@ cdef class SimplexTree:
:returns: The (simplices of the) skeleton of a maximum dimension.
:rtype: list of tuples(simplex, filtration)
"""
- cdef vector[pair[vector[int], double]] skeleton \
- = self.get_ptr().get_skeleton(<int>dimension)
- ct = []
- for filtered_simplex in skeleton:
- v = []
- for vertex in filtered_simplex.first:
- v.append(vertex)
- ct.append((v, filtered_simplex.second))
- return ct
+ cdef Simplex_tree_skeleton_iterator it = self.get_ptr().get_skeleton_iterator_begin(dimension)
+ cdef Simplex_tree_skeleton_iterator end = self.get_ptr().get_skeleton_iterator_end(dimension)
+
+ while it != end:
+ yield self.get_ptr().get_simplex_and_filtration(dereference(it))
+ preincrement(it)
def get_star(self, simplex):
"""This function returns the star of a given N-simplex.
diff --git a/src/python/include/Simplex_tree_interface.h b/src/python/include/Simplex_tree_interface.h
index 06f31341..4a7062d6 100644
--- a/src/python/include/Simplex_tree_interface.h
+++ b/src/python/include/Simplex_tree_interface.h
@@ -33,7 +33,10 @@ class Simplex_tree_interface : public Simplex_tree<SimplexTreeOptions> {
using Simplex_handle = typename Base::Simplex_handle;
using Insertion_result = typename std::pair<Simplex_handle, bool>;
using Simplex = std::vector<Vertex_handle>;
- using Filtered_simplices = std::vector<std::pair<Simplex, Filtration_value>>;
+ using Simplex_and_filtration = std::pair<Simplex, Filtration_value>;
+ using Filtered_simplices = std::vector<Simplex_and_filtration>;
+ using Skeleton_simplex_iterator = typename Base::Skeleton_simplex_iterator;
+ using Complex_simplex_iterator = typename Base::Complex_simplex_iterator;
public:
bool find_simplex(const Simplex& vh) {
@@ -82,29 +85,12 @@ class Simplex_tree_interface : public Simplex_tree<SimplexTreeOptions> {
Base::initialize_filtration();
}
- Filtered_simplices get_filtration() {
- Base::initialize_filtration();
- Filtered_simplices filtrations;
- for (auto f_simplex : Base::filtration_simplex_range()) {
- Simplex simplex;
- for (auto vertex : Base::simplex_vertex_range(f_simplex)) {
- simplex.insert(simplex.begin(), vertex);
- }
- filtrations.push_back(std::make_pair(simplex, Base::filtration(f_simplex)));
- }
- return filtrations;
- }
-
- Filtered_simplices get_skeleton(int dimension) {
- Filtered_simplices skeletons;
- for (auto f_simplex : Base::skeleton_simplex_range(dimension)) {
- Simplex simplex;
- for (auto vertex : Base::simplex_vertex_range(f_simplex)) {
- simplex.insert(simplex.begin(), vertex);
- }
- skeletons.push_back(std::make_pair(simplex, Base::filtration(f_simplex)));
+ Simplex_and_filtration get_simplex_and_filtration(Simplex_handle f_simplex) {
+ Simplex simplex;
+ for (auto vertex : Base::simplex_vertex_range(f_simplex)) {
+ simplex.insert(simplex.begin(), vertex);
}
- return skeletons;
+ return std::make_pair(std::move(simplex), Base::filtration(f_simplex));
}
Filtered_simplices get_star(const Simplex& simplex) {
@@ -135,6 +121,38 @@ class Simplex_tree_interface : public Simplex_tree<SimplexTreeOptions> {
Base::initialize_filtration();
pcoh = new Gudhi::Persistent_cohomology_interface<Base>(*this);
}
+
+ // Iterator over the simplex tree
+ Complex_simplex_iterator get_simplices_iterator_begin() {
+ // this specific case works because the range is just a pair of iterators - won't work if range was a vector
+ return Base::complex_simplex_range().begin();
+ }
+
+ Complex_simplex_iterator get_simplices_iterator_end() {
+ // this specific case works because the range is just a pair of iterators - won't work if range was a vector
+ return Base::complex_simplex_range().end();
+ }
+
+ typename std::vector<Simplex_handle>::const_iterator get_filtration_iterator_begin() {
+ // Base::initialize_filtration(); already performed in filtration_simplex_range
+ // this specific case works because the range is just a pair of iterators - won't work if range was a vector
+ return Base::filtration_simplex_range().begin();
+ }
+
+ typename std::vector<Simplex_handle>::const_iterator get_filtration_iterator_end() {
+ // this specific case works because the range is just a pair of iterators - won't work if range was a vector
+ return Base::filtration_simplex_range().end();
+ }
+
+ Skeleton_simplex_iterator get_skeleton_iterator_begin(int dimension) {
+ // this specific case works because the range is just a pair of iterators - won't work if range was a vector
+ return Base::skeleton_simplex_range(dimension).begin();
+ }
+
+ Skeleton_simplex_iterator get_skeleton_iterator_end(int dimension) {
+ // this specific case works because the range is just a pair of iterators - won't work if range was a vector
+ return Base::skeleton_simplex_range(dimension).end();
+ }
};
} // namespace Gudhi
diff --git a/src/python/test/test_alpha_complex.py b/src/python/test/test_alpha_complex.py
index 3761fe16..77121302 100755
--- a/src/python/test/test_alpha_complex.py
+++ b/src/python/test/test_alpha_complex.py
@@ -40,7 +40,7 @@ def test_infinite_alpha():
assert simplex_tree.num_simplices() == 11
assert simplex_tree.num_vertices() == 4
- assert simplex_tree.get_filtration() == [
+ assert list(simplex_tree.get_filtration()) == [
([0], 0.0),
([1], 0.0),
([2], 0.0),
@@ -53,6 +53,7 @@ def test_infinite_alpha():
([0, 1, 2], 0.5),
([1, 2, 3], 0.5),
]
+
assert simplex_tree.get_star([0]) == [
([0], 0.0),
([0, 1], 0.25),
@@ -105,7 +106,7 @@ def test_filtered_alpha():
else:
assert False
- assert simplex_tree.get_filtration() == [
+ assert list(simplex_tree.get_filtration()) == [
([0], 0.0),
([1], 0.0),
([2], 0.0),
diff --git a/src/python/test/test_euclidean_witness_complex.py b/src/python/test/test_euclidean_witness_complex.py
index c18d2484..f3664d39 100755
--- a/src/python/test/test_euclidean_witness_complex.py
+++ b/src/python/test/test_euclidean_witness_complex.py
@@ -40,7 +40,7 @@ def test_witness_complex():
assert landmarks[1] == euclidean_witness_complex.get_point(1)
assert landmarks[2] == euclidean_witness_complex.get_point(2)
- assert simplex_tree.get_filtration() == [
+ assert list(simplex_tree.get_filtration()) == [
([0], 0.0),
([1], 0.0),
([0, 1], 0.0),
@@ -78,13 +78,13 @@ def test_strong_witness_complex():
assert landmarks[1] == euclidean_strong_witness_complex.get_point(1)
assert landmarks[2] == euclidean_strong_witness_complex.get_point(2)
- assert simplex_tree.get_filtration() == [([0], 0.0), ([1], 0.0), ([2], 0.0)]
+ assert list(simplex_tree.get_filtration()) == [([0], 0.0), ([1], 0.0), ([2], 0.0)]
simplex_tree = euclidean_strong_witness_complex.create_simplex_tree(
max_alpha_square=100.0
)
- assert simplex_tree.get_filtration() == [
+ assert list(simplex_tree.get_filtration()) == [
([0], 0.0),
([1], 0.0),
([2], 0.0),
diff --git a/src/python/test/test_rips_complex.py b/src/python/test/test_rips_complex.py
index b02a68e1..b86e7498 100755
--- a/src/python/test/test_rips_complex.py
+++ b/src/python/test/test_rips_complex.py
@@ -32,7 +32,7 @@ def test_rips_from_points():
assert simplex_tree.num_simplices() == 10
assert simplex_tree.num_vertices() == 4
- assert simplex_tree.get_filtration() == [
+ assert list(simplex_tree.get_filtration()) == [
([0], 0.0),
([1], 0.0),
([2], 0.0),
@@ -44,6 +44,7 @@ def test_rips_from_points():
([1, 2], 1.4142135623730951),
([0, 3], 1.4142135623730951),
]
+
assert simplex_tree.get_star([0]) == [
([0], 0.0),
([0, 1], 1.0),
@@ -95,7 +96,7 @@ def test_rips_from_distance_matrix():
assert simplex_tree.num_simplices() == 10
assert simplex_tree.num_vertices() == 4
- assert simplex_tree.get_filtration() == [
+ assert list(simplex_tree.get_filtration()) == [
([0], 0.0),
([1], 0.0),
([2], 0.0),
@@ -107,6 +108,7 @@ def test_rips_from_distance_matrix():
([1, 2], 1.4142135623730951),
([0, 3], 1.4142135623730951),
]
+
assert simplex_tree.get_star([0]) == [
([0], 0.0),
([0, 1], 1.0),
diff --git a/src/python/test/test_simplex_tree.py b/src/python/test/test_simplex_tree.py
index 1822c43b..f7848379 100755
--- a/src/python/test/test_simplex_tree.py
+++ b/src/python/test/test_simplex_tree.py
@@ -55,7 +55,7 @@ def test_insertion():
assert st.filtration([1]) == 0.0
# skeleton test
- assert st.get_skeleton(2) == [
+ assert list(st.get_skeleton(2)) == [
([0, 1, 2], 4.0),
([0, 1], 0.0),
([0, 2], 4.0),
@@ -64,7 +64,7 @@ def test_insertion():
([1], 0.0),
([2], 4.0),
]
- assert st.get_skeleton(1) == [
+ assert list(st.get_skeleton(1)) == [
([0, 1], 0.0),
([0, 2], 4.0),
([0], 0.0),
@@ -72,12 +72,12 @@ def test_insertion():
([1], 0.0),
([2], 4.0),
]
- assert st.get_skeleton(0) == [([0], 0.0), ([1], 0.0), ([2], 4.0)]
+ assert list(st.get_skeleton(0)) == [([0], 0.0), ([1], 0.0), ([2], 4.0)]
# remove_maximal_simplex test
assert st.get_cofaces([0, 1, 2], 1) == []
st.remove_maximal_simplex([0, 1, 2])
- assert st.get_skeleton(2) == [
+ assert list(st.get_skeleton(2)) == [
([0, 1], 0.0),
([0, 2], 4.0),
([0], 0.0),
@@ -126,7 +126,8 @@ def test_expansion():
assert st.num_vertices() == 7
assert st.num_simplices() == 17
- assert st.get_filtration() == [
+
+ assert list(st.get_filtration()) == [
([2], 0.1),
([3], 0.1),
([2, 3], 0.1),
@@ -151,7 +152,7 @@ def test_expansion():
assert st.num_simplices() == 22
st.initialize_filtration()
- assert st.get_filtration() == [
+ assert list(st.get_filtration()) == [
([2], 0.1),
([3], 0.1),
([2, 3], 0.1),
@@ -248,3 +249,15 @@ def test_make_filtration_non_decreasing():
assert st.filtration([3, 4, 5]) == 2.0
assert st.filtration([3, 4]) == 2.0
assert st.filtration([4, 5]) == 2.0
+
+def test_simplices_iterator():
+ st = SimplexTree()
+
+ assert st.insert([0, 1, 2], filtration=4.0) == True
+ assert st.insert([2, 3, 4], filtration=2.0) == True
+
+ for simplex in st.get_simplices():
+ print("simplex is: ", simplex[0])
+ assert st.find(simplex[0]) == True
+ print("filtration is: ", simplex[1])
+ assert st.filtration(simplex[0]) == simplex[1]
diff --git a/src/python/test/test_tangential_complex.py b/src/python/test/test_tangential_complex.py
index e650e99c..8668a2e0 100755
--- a/src/python/test/test_tangential_complex.py
+++ b/src/python/test/test_tangential_complex.py
@@ -37,7 +37,7 @@ def test_tangential():
assert st.num_simplices() == 6
assert st.num_vertices() == 4
- assert st.get_filtration() == [
+ assert list(st.get_filtration()) == [
([0], 0.0),
([1], 0.0),
([2], 0.0),
@@ -45,6 +45,7 @@ def test_tangential():
([3], 0.0),
([1, 3], 0.0),
]
+
assert st.get_cofaces([0], 1) == [([0, 2], 0.0)]
assert point_list[0] == tc.get_point(0)
diff --git a/src/python/test/test_time_delay.py b/src/python/test/test_time_delay.py
new file mode 100755
index 00000000..1ead9bca
--- /dev/null
+++ b/src/python/test/test_time_delay.py
@@ -0,0 +1,43 @@
+from gudhi.point_cloud.timedelay import TimeDelayEmbedding
+import numpy as np
+
+
+def test_normal():
+ # Sample array
+ ts = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+ # Normal case.
+ prep = TimeDelayEmbedding()
+ pointclouds = prep(ts)
+ assert (pointclouds[0] == np.array([1, 2, 3])).all()
+ assert (pointclouds[1] == np.array([2, 3, 4])).all()
+ assert (pointclouds[2] == np.array([3, 4, 5])).all()
+ assert (pointclouds[3] == np.array([4, 5, 6])).all()
+ assert (pointclouds[4] == np.array([5, 6, 7])).all()
+ assert (pointclouds[5] == np.array([6, 7, 8])).all()
+ assert (pointclouds[6] == np.array([7, 8, 9])).all()
+ assert (pointclouds[7] == np.array([8, 9, 10])).all()
+ # Delay = 3
+ prep = TimeDelayEmbedding(delay=3)
+ pointclouds = prep(ts)
+ assert (pointclouds[0] == np.array([1, 4, 7])).all()
+ assert (pointclouds[1] == np.array([2, 5, 8])).all()
+ assert (pointclouds[2] == np.array([3, 6, 9])).all()
+ assert (pointclouds[3] == np.array([4, 7, 10])).all()
+ # Skip = 3
+ prep = TimeDelayEmbedding(skip=3)
+ pointclouds = prep(ts)
+ assert (pointclouds[0] == np.array([1, 2, 3])).all()
+ assert (pointclouds[1] == np.array([4, 5, 6])).all()
+ assert (pointclouds[2] == np.array([7, 8, 9])).all()
+ # Delay = 2 / Skip = 2
+ prep = TimeDelayEmbedding(delay=2, skip=2)
+ pointclouds = prep(ts)
+ assert (pointclouds[0] == np.array([1, 3, 5])).all()
+ assert (pointclouds[1] == np.array([3, 5, 7])).all()
+ assert (pointclouds[2] == np.array([5, 7, 9])).all()
+
+ # Vector series
+ ts = np.arange(0, 10).reshape(-1, 2)
+ prep = TimeDelayEmbedding(dim=4)
+ prep.fit([ts])
+ assert (prep.transform([ts])[0] == [[0, 1, 2, 3], [2, 3, 4, 5], [4, 5, 6, 7], [6, 7, 8, 9]]).all()