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-rwxr-xr-xsrc/cython/test/test_alpha_complex.py86
-rwxr-xr-xsrc/cython/test/test_cubical_complex.py86
-rwxr-xr-xsrc/cython/test/test_mini_simplex_tree.py50
-rwxr-xr-xsrc/cython/test/test_rips_complex.py65
-rwxr-xr-xsrc/cython/test/test_simplex_tree.py98
-rwxr-xr-xsrc/cython/test/test_subsampling.py133
-rwxr-xr-xsrc/cython/test/test_tangential_complex.py52
-rwxr-xr-xsrc/cython/test/test_witness_complex.py55
8 files changed, 625 insertions, 0 deletions
diff --git a/src/cython/test/test_alpha_complex.py b/src/cython/test/test_alpha_complex.py
new file mode 100755
index 00000000..b08ac0d7
--- /dev/null
+++ b/src/cython/test/test_alpha_complex.py
@@ -0,0 +1,86 @@
+from gudhi import AlphaComplex, SimplexTree
+
+"""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): Vincent Rouvreau
+
+ Copyright (C) 2016 INRIA
+
+ 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/>.
+"""
+
+__author__ = "Vincent Rouvreau"
+__copyright__ = "Copyright (C) 2016 INRIA"
+__license__ = "GPL v3"
+
+
+def test_empty_alpha():
+ alpha_complex = AlphaComplex(points=[[0,0]])
+ assert alpha_complex.__is_defined() == True
+
+def test_infinite_alpha():
+ point_list = [[0, 0], [1, 0], [0, 1], [1, 1]]
+ alpha_complex = AlphaComplex(points=point_list)
+ assert alpha_complex.__is_defined() == True
+
+ simplex_tree = alpha_complex.create_simplex_tree()
+ assert simplex_tree.__is_persistence_defined() == False
+
+ assert simplex_tree.num_simplices() == 11
+ assert simplex_tree.num_vertices() == 4
+
+ assert simplex_tree.get_filtered_tree() == \
+ [([0], 0.0), ([1], 0.0), ([2], 0.0), ([3], 0.0),
+ ([0, 1], 0.25), ([0, 2], 0.25), ([1, 3], 0.25),
+ ([2, 3], 0.25), ([1, 2], 0.5), ([0, 1, 2], 0.5),
+ ([1, 2, 3], 0.5)]
+ assert simplex_tree.get_star_tree([0]) == \
+ [([0], 0.0), ([0, 1], 0.25), ([0, 1, 2], 0.5),
+ ([0, 2], 0.25)]
+ assert simplex_tree.get_coface_tree([0], 1) == \
+ [([0, 1], 0.25), ([0, 2], 0.25)]
+
+ assert point_list[0] == alpha_complex.get_point(0)
+ assert point_list[1] == alpha_complex.get_point(1)
+ assert point_list[2] == alpha_complex.get_point(2)
+ assert point_list[3] == alpha_complex.get_point(3)
+ assert alpha_complex.get_point(4) == []
+ assert alpha_complex.get_point(125) == []
+
+def test_filtered_alpha():
+ point_list = [[0, 0], [1, 0], [0, 1], [1, 1]]
+ filtered_alpha = AlphaComplex(points=point_list)
+
+ simplex_tree = filtered_alpha.create_simplex_tree(max_alpha_square=0.25)
+
+ assert simplex_tree.num_simplices() == 8
+ assert simplex_tree.num_vertices() == 4
+
+ assert point_list[0] == filtered_alpha.get_point(0)
+ assert point_list[1] == filtered_alpha.get_point(1)
+ assert point_list[2] == filtered_alpha.get_point(2)
+ assert point_list[3] == filtered_alpha.get_point(3)
+ assert filtered_alpha.get_point(4) == []
+ assert filtered_alpha.get_point(125) == []
+
+ assert simplex_tree.get_filtered_tree() == \
+ [([0], 0.0), ([1], 0.0), ([2], 0.0), ([3], 0.0),
+ ([0, 1], 0.25), ([0, 2], 0.25), ([1, 3], 0.25),
+ ([2, 3], 0.25)]
+ assert simplex_tree.get_star_tree([0]) == \
+ [([0], 0.0), ([0, 1], 0.25), ([0, 2], 0.25)]
+ assert simplex_tree.get_coface_tree([0], 1) == \
+ [([0, 1], 0.25), ([0, 2], 0.25)]
diff --git a/src/cython/test/test_cubical_complex.py b/src/cython/test/test_cubical_complex.py
new file mode 100755
index 00000000..c8df8089
--- /dev/null
+++ b/src/cython/test/test_cubical_complex.py
@@ -0,0 +1,86 @@
+from gudhi import CubicalComplex
+
+"""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): Vincent Rouvreau
+
+ Copyright (C) 2016 INRIA
+
+ 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/>.
+"""
+
+__author__ = "Vincent Rouvreau"
+__copyright__ = "Copyright (C) 2016 INRIA"
+__license__ = "GPL v3"
+
+
+def test_empty_constructor():
+ # Try to create an empty CubicalComplex
+ cub = CubicalComplex()
+ assert cub.__is_defined() == False
+ assert cub.__is_persistence_defined() == False
+
+def test_non_existing_perseus_file_constructor():
+ # Try to open a non existing file
+ cub = CubicalComplex(perseus_file='pouetpouettralala.toubiloubabdou')
+ assert cub.__is_defined() == False
+ assert cub.__is_persistence_defined() == False
+
+def test_dimension_or_perseus_file_constructor():
+ # Create test file
+ test_file = open('CubicalOneSphere.txt', 'w')
+ test_file.write('2\n3\n3\n0\n0\n0\n0\n100\n0\n0\n0\n0\n')
+ test_file.close()
+ # CubicalComplex can be constructed from dimensions and
+ # top_dimensional_cells OR from a perseus file style name.
+ cub = CubicalComplex(dimensions=[3, 3],
+ top_dimensional_cells = [1,2,3,4,5,6,7,8,9],
+ perseus_file='CubicalOneSphere.txt')
+ assert cub.__is_defined() == False
+ assert cub.__is_persistence_defined() == False
+
+ cub = CubicalComplex(top_dimensional_cells = [1,2,3,4,5,6,7,8,9],
+ perseus_file='CubicalOneSphere.txt')
+ assert cub.__is_defined() == False
+ assert cub.__is_persistence_defined() == False
+
+ cub = CubicalComplex(dimensions=[3, 3],
+ perseus_file='CubicalOneSphere.txt')
+ assert cub.__is_defined() == False
+ assert cub.__is_persistence_defined() == False
+
+def test_dimension_constructor():
+ cub = CubicalComplex(dimensions=[3, 3],
+ top_dimensional_cells = [1,2,3,4,5,6,7,8,9])
+ assert cub.__is_defined() == True
+ assert cub.__is_persistence_defined() == False
+ assert cub.persistence() == [(1, (0.0, 100.0)), (0, (0.0, 1.8446744073709552e+19))]
+ assert cub.__is_persistence_defined() == True
+ assert cub.betti_numbers() == [1, 0]
+ assert cub.persistent_betti_numbers(0, 1000) == [0, 0]
+
+def test_dimension_constructor():
+ # Create test file
+ test_file = open('CubicalOneSphere.txt', 'w')
+ test_file.write('2\n3\n3\n0\n0\n0\n0\n100\n0\n0\n0\n0\n')
+ test_file.close()
+ cub = CubicalComplex(perseus_file='CubicalOneSphere.txt')
+ assert cub.__is_defined() == True
+ assert cub.__is_persistence_defined() == False
+ assert cub.persistence() == [(1, (0.0, 100.0)), (0, (0.0, 1.8446744073709552e+19))]
+ assert cub.__is_persistence_defined() == True
+ assert cub.betti_numbers() == [1, 0, 0]
+ assert cub.persistent_betti_numbers(0, 1000) == [1, 0, 0]
diff --git a/src/cython/test/test_mini_simplex_tree.py b/src/cython/test/test_mini_simplex_tree.py
new file mode 100755
index 00000000..e44bfdbc
--- /dev/null
+++ b/src/cython/test/test_mini_simplex_tree.py
@@ -0,0 +1,50 @@
+from gudhi import MiniSimplexTree
+
+"""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): Vincent Rouvreau
+
+ Copyright (C) 2016 INRIA
+
+ 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/>.
+"""
+
+__author__ = "Vincent Rouvreau"
+__copyright__ = "Copyright (C) 2016 INRIA"
+__license__ = "GPL v3"
+
+
+def test_mini():
+ triangle012 = [0, 1, 2]
+ edge03 = [0, 3]
+ mini_st = MiniSimplexTree()
+ assert mini_st.__is_defined() == True
+ assert mini_st.__is_persistence_defined() == False
+ assert mini_st.insert(triangle012) == True
+ assert mini_st.insert(edge03) == True
+ # FIXME: Remove this line
+ mini_st.set_dimension(2)
+
+ edge02 = [0, 2]
+ assert mini_st.find(edge02) == True
+ assert mini_st.get_coface_tree(edge02, 1) == \
+ [([0, 1, 2], 0.0)]
+
+ # remove_maximal_simplex test
+ assert mini_st.get_coface_tree(triangle012, 1) == []
+ mini_st.remove_maximal_simplex(triangle012)
+ assert mini_st.find(edge02) == True
+ assert mini_st.find(triangle012) == False
diff --git a/src/cython/test/test_rips_complex.py b/src/cython/test/test_rips_complex.py
new file mode 100755
index 00000000..877289cf
--- /dev/null
+++ b/src/cython/test/test_rips_complex.py
@@ -0,0 +1,65 @@
+from gudhi import RipsComplex
+
+"""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): Vincent Rouvreau
+
+ Copyright (C) 2016 INRIA
+
+ 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/>.
+"""
+
+__author__ = "Vincent Rouvreau"
+__copyright__ = "Copyright (C) 2016 INRIA"
+__license__ = "GPL v3"
+
+
+def test_empty_rips():
+ rips_complex = RipsComplex()
+ assert rips_complex.__is_defined() == True
+ assert rips_complex.__is_persistence_defined() == False
+
+def test_rips():
+ point_list = [[0, 0], [1, 0], [0, 1], [1, 1]]
+ rips_complex = RipsComplex(points=point_list, max_dimension=1,
+ max_edge_length=42)
+ assert rips_complex.__is_defined() == True
+ assert rips_complex.__is_persistence_defined() == False
+
+ assert rips_complex.num_simplices() == 10
+ assert rips_complex.num_vertices() == 4
+
+ assert rips_complex.get_filtered_tree() == \
+ [([0], 0.0), ([1], 0.0), ([2], 0.0), ([3], 0.0),
+ ([0, 1], 1.0), ([0, 2], 1.0), ([1, 3], 1.0),
+ ([2, 3], 1.0), ([1, 2], 1.4142135623730951),
+ ([0, 3], 1.4142135623730951)]
+ assert rips_complex.get_star_tree([0]) == \
+ [([0], 0.0), ([0, 1], 1.0), ([0, 2], 1.0),
+ ([0, 3], 1.4142135623730951)]
+ assert rips_complex.get_coface_tree([0], 1) == \
+ [([0, 1], 1.0), ([0, 2], 1.0),
+ ([0, 3], 1.4142135623730951)]
+
+def test_filtered_rips():
+ point_list = [[0, 0], [1, 0], [0, 1], [1, 1]]
+ filtered_rips = RipsComplex(points=point_list, max_dimension=1,
+ max_edge_length=1.0)
+ assert filtered_rips.__is_defined() == True
+ assert filtered_rips.__is_persistence_defined() == False
+
+ assert filtered_rips.num_simplices() == 8
+ assert filtered_rips.num_vertices() == 4
diff --git a/src/cython/test/test_simplex_tree.py b/src/cython/test/test_simplex_tree.py
new file mode 100755
index 00000000..0b9899f8
--- /dev/null
+++ b/src/cython/test/test_simplex_tree.py
@@ -0,0 +1,98 @@
+from gudhi import SimplexTree
+
+"""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): Vincent Rouvreau
+
+ Copyright (C) 2016 INRIA
+
+ 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/>.
+"""
+
+__author__ = "Vincent Rouvreau"
+__copyright__ = "Copyright (C) 2016 INRIA"
+__license__ = "GPL v3"
+
+
+def test_insertion():
+ st = SimplexTree()
+ assert st.__is_defined() == True
+ assert st.__is_persistence_defined() == False
+
+ # insert test
+ assert st.insert([0, 1]) == True
+ assert st.insert([0, 1, 2], filtration=4.0) == True
+ # FIXME: Remove this line
+ st.set_dimension(2)
+ assert st.num_simplices() == 7
+ assert st.num_vertices() == 3
+
+ # find test
+ assert st.find([0, 1, 2]) == True
+ assert st.find([0, 1]) == True
+ assert st.find([0, 2]) == True
+ assert st.find([0]) == True
+ assert st.find([1]) == True
+ assert st.find([2]) == True
+ assert st.find([3]) == False
+ assert st.find([0, 3]) == False
+ assert st.find([1, 3]) == False
+ assert st.find([2, 3]) == False
+
+ # filtration test
+ st.set_filtration(5.0)
+ st.initialize_filtration()
+ assert st.get_filtration() == 5.0
+ assert st.filtration([0, 1, 2]) == 4.0
+ assert st.filtration([0, 2]) == 4.0
+ assert st.filtration([1, 2]) == 4.0
+ assert st.filtration([2]) == 4.0
+ assert st.filtration([0, 1]) == 0.0
+ assert st.filtration([0]) == 0.0
+ assert st.filtration([1]) == 0.0
+
+ # skeleton_tree test
+ assert st.get_skeleton_tree(2) == \
+ [([0, 1, 2], 4.0), ([0, 1], 0.0), ([0, 2], 4.0),
+ ([0], 0.0), ([1, 2], 4.0), ([1], 0.0), ([2], 4.0)]
+ assert st.get_skeleton_tree(1) == \
+ [([0, 1], 0.0), ([0, 2], 4.0), ([0], 0.0),
+ ([1, 2], 4.0), ([1], 0.0), ([2], 4.0)]
+ assert st.get_skeleton_tree(0) == \
+ [([0], 0.0), ([1], 0.0), ([2], 4.0)]
+
+ # remove_maximal_simplex test
+ assert st.get_coface_tree([0, 1, 2], 1) == []
+ st.remove_maximal_simplex([0, 1, 2])
+ assert st.get_skeleton_tree(2) == \
+ [([0, 1], 0.0), ([0, 2], 4.0), ([0], 0.0),
+ ([1, 2], 4.0), ([1], 0.0), ([2], 4.0)]
+ assert st.find([0, 1, 2]) == False
+ assert st.find([0, 1]) == True
+ assert st.find([0, 2]) == True
+ assert st.find([0]) == True
+ assert st.find([1]) == True
+ assert st.find([2]) == True
+
+ st.initialize_filtration()
+ assert st.persistence() == [(1, (4.0, float('inf'))), (0, (0.0, float('inf')))]
+ assert st.__is_persistence_defined() == True
+ assert st.betti_numbers() == [1, 1]
+ assert st.persistent_betti_numbers(-0.1, 10000.0) == [0, 0]
+ assert st.persistent_betti_numbers(0.0, 10000.0) == [1, 0]
+ assert st.persistent_betti_numbers(3.9, 10000.0) == [1, 0]
+ assert st.persistent_betti_numbers(4.0, 10000.0) == [1, 1]
+ assert st.persistent_betti_numbers(9999.0, 10000.0) == [1, 1]
diff --git a/src/cython/test/test_subsampling.py b/src/cython/test/test_subsampling.py
new file mode 100755
index 00000000..2caf4ddb
--- /dev/null
+++ b/src/cython/test/test_subsampling.py
@@ -0,0 +1,133 @@
+import gudhi
+
+"""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): Vincent Rouvreau
+
+ Copyright (C) 2016 INRIA
+
+ 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/>.
+"""
+
+__author__ = "Vincent Rouvreau"
+__copyright__ = "Copyright (C) 2016 INRIA"
+__license__ = "GPL v3"
+
+
+def test_write_off_file_for_tests():
+ file = open("subsample.off", "w")
+ file.write("nOFF\n")
+ file.write("2 7 0 0\n")
+ file.write("1.0 1.0\n")
+ file.write("7.0 0.0\n")
+ file.write("4.0 6.0\n")
+ file.write("9.0 6.0\n")
+ file.write("0.0 14.0\n")
+ file.write("2.0 19.0\n")
+ file.write("9.0 17.0\n")
+ file.close()
+
+def test_simple_choose_n_farthest_points_with_a_starting_point():
+ point_set = [[0,1], [0,0], [1,0], [1,1]]
+ i = 0
+ for point in point_set:
+ # The iteration starts with the given starting point
+ sub_set = gudhi.choose_n_farthest_points(points = point_set, nb_points = 1, starting_point = i)
+ assert sub_set[0] == point_set[i]
+ i = i + 1
+
+ # The iteration finds then the farthest
+ sub_set = gudhi.choose_n_farthest_points(points = point_set, nb_points = 2, starting_point = 1)
+ assert sub_set[1] == point_set[3]
+ sub_set = gudhi.choose_n_farthest_points(points = point_set, nb_points = 2, starting_point = 3)
+ assert sub_set[1] == point_set[1]
+ sub_set = gudhi.choose_n_farthest_points(points = point_set, nb_points = 2, starting_point = 0)
+ assert sub_set[1] == point_set[2]
+ sub_set = gudhi.choose_n_farthest_points(points = point_set, nb_points = 2, starting_point = 2)
+ assert sub_set[1] == point_set[0]
+
+ # Test the limits
+ assert gudhi.choose_n_farthest_points(points = [], nb_points = 0, starting_point = 0) == []
+ assert gudhi.choose_n_farthest_points(points = [], nb_points = 1, starting_point = 0) == []
+ assert gudhi.choose_n_farthest_points(points = [], nb_points = 0, starting_point = 1) == []
+ assert gudhi.choose_n_farthest_points(points = [], nb_points = 1, starting_point = 1) == []
+
+ # From off file test
+ for i in range (0, 7):
+ assert len(gudhi.choose_n_farthest_points(off_file = 'subsample.off', nb_points = i, starting_point = i)) == i
+
+def test_simple_choose_n_farthest_points_randomed():
+ point_set = [[0,1], [0,0], [1,0], [1,1]]
+ # Test the limits
+ assert gudhi.choose_n_farthest_points(points = [], nb_points = 0) == []
+ assert gudhi.choose_n_farthest_points(points = [], nb_points = 1) == []
+ assert gudhi.choose_n_farthest_points(points = point_set, nb_points = 0) == []
+
+ # Go furter than point set on purpose
+ for iter in range(1,10):
+ sub_set = gudhi.choose_n_farthest_points(points = point_set, nb_points = iter)
+ for sub in sub_set:
+ found = False
+ for point in point_set:
+ if point == sub:
+ found = True
+ # Check each sub set point is existing in the point set
+ assert found == True
+
+ # From off file test
+ for i in range (0, 7):
+ assert len(gudhi.choose_n_farthest_points(off_file = 'subsample.off', nb_points = i)) == i
+
+def test_simple_pick_n_random_points():
+ point_set = [[0,1], [0,0], [1,0], [1,1]]
+ # Test the limits
+ assert gudhi.pick_n_random_points(points = [], nb_points = 0) == []
+ assert gudhi.pick_n_random_points(points = [], nb_points = 1) == []
+ assert gudhi.pick_n_random_points(points = point_set, nb_points = 0) == []
+
+ # Go furter than point set on purpose
+ for iter in range(1,10):
+ sub_set = gudhi.pick_n_random_points(points = point_set, nb_points = iter)
+ print(5)
+ for sub in sub_set:
+ found = False
+ for point in point_set:
+ if point == sub:
+ found = True
+ # Check each sub set point is existing in the point set
+ assert found == True
+
+ # From off file test
+ for i in range (0, 7):
+ assert len(gudhi.pick_n_random_points(off_file = 'subsample.off', nb_points = i)) == i
+
+def test_simple_sparsify_points():
+ point_set = [[0,1], [0,0], [1,0], [1,1]]
+ # Test the limits
+ # assert gudhi.sparsify_point_set(points = [], min_squared_dist = 0.0) == []
+ # assert gudhi.sparsify_point_set(points = [], min_squared_dist = 10.0) == []
+ assert gudhi.sparsify_point_set(points = point_set, min_squared_dist = 0.0) == point_set
+ assert gudhi.sparsify_point_set(points = point_set, min_squared_dist = 1.0) == point_set
+ assert gudhi.sparsify_point_set(points = point_set, min_squared_dist = 2.0) == [[0,1], [1,0]]
+ assert gudhi.sparsify_point_set(points = point_set, min_squared_dist = 2.01) == [[0,1]]
+
+ assert len(gudhi.sparsify_point_set(off_file = 'subsample.off', min_squared_dist = 0.0)) == 7
+ assert len(gudhi.sparsify_point_set(off_file = 'subsample.off', min_squared_dist = 30.0)) == 5
+ assert len(gudhi.sparsify_point_set(off_file = 'subsample.off', min_squared_dist = 40.0)) == 4
+ assert len(gudhi.sparsify_point_set(off_file = 'subsample.off', min_squared_dist = 90.0)) == 3
+ assert len(gudhi.sparsify_point_set(off_file = 'subsample.off', min_squared_dist = 100.0)) == 2
+ assert len(gudhi.sparsify_point_set(off_file = 'subsample.off', min_squared_dist = 325.0)) == 2
+ assert len(gudhi.sparsify_point_set(off_file = 'subsample.off', min_squared_dist = 325.01)) == 1
diff --git a/src/cython/test/test_tangential_complex.py b/src/cython/test/test_tangential_complex.py
new file mode 100755
index 00000000..429fc0d0
--- /dev/null
+++ b/src/cython/test/test_tangential_complex.py
@@ -0,0 +1,52 @@
+from gudhi import TangentialComplex, SimplexTree
+
+"""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): Vincent Rouvreau
+
+ Copyright (C) 2016 INRIA
+
+ 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/>.
+"""
+
+__author__ = "Vincent Rouvreau"
+__copyright__ = "Copyright (C) 2016 INRIA"
+__license__ = "GPL v3"
+
+
+def test_tangential():
+ point_list = [[0.0, 0.0], [1.0, 0.0], [0.0, 1.0], [1.0, 1.0]]
+ tc = TangentialComplex(points=point_list)
+ assert tc.__is_defined() == True
+ assert tc.num_vertices() == 4
+
+ st = tc.create_simplex_tree()
+ assert st.__is_defined() == True
+ assert st.__is_persistence_defined() == False
+
+ assert st.num_simplices() == 6
+ assert st.num_vertices() == 4
+
+ assert st.get_filtered_tree() == \
+ [([0], 0.0), ([1], 0.0), ([2], 0.0), ([0, 2], 0.0), ([3], 0.0), ([1, 3], 0.0)]
+ assert st.get_coface_tree([0], 1) == [([0, 2], 0.0)]
+
+ assert point_list[0] == tc.get_point(0)
+ assert point_list[1] == tc.get_point(1)
+ assert point_list[2] == tc.get_point(2)
+ assert point_list[3] == tc.get_point(3)
+ assert tc.get_point(4) == []
+ assert tc.get_point(125) == []
diff --git a/src/cython/test/test_witness_complex.py b/src/cython/test/test_witness_complex.py
new file mode 100755
index 00000000..a55e80d7
--- /dev/null
+++ b/src/cython/test/test_witness_complex.py
@@ -0,0 +1,55 @@
+from gudhi import WitnessComplex
+
+"""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): Vincent Rouvreau
+
+ Copyright (C) 2016 INRIA
+
+ 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/>.
+"""
+
+__author__ = "Vincent Rouvreau"
+__copyright__ = "Copyright (C) 2016 INRIA"
+__license__ = "GPL v3"
+
+
+def test_empty_witness_complex():
+ witness = WitnessComplex()
+ assert witness.__is_defined() == False
+
+def test_witness_complex():
+ point_list = [[0, 0], [1, 0], [0, 1], [1, 1]]
+ witness = WitnessComplex(points=point_list, number_of_landmarks=10)
+ assert witness.__is_defined() == True
+
+ # FIXME: Remove this line
+ witness.set_dimension(2)
+
+ assert witness.num_simplices() == 13
+ assert witness.num_vertices() == 10
+ witness.initialize_filtration()
+"""
+ assert witness.get_filtered_tree() == \
+ [([0], 0.0), ([1], 0.0), ([0, 1], 0.0), ([2], 0.0), ([1, 2], 0.0),
+ ([3], 0.0), ([2, 3], 0.0), ([4], 0.0), ([5], 0.0), ([6], 0.0),
+ ([7], 0.0), ([8], 0.0), ([9], 0.0)]
+
+
+ assert witness.get_coface_tree([2], 1) == [([1, 2], 0.0), ([2, 3], 0.0)]
+ assert witness.get_star_tree([2]) == \
+ [([1, 2], 0.0), ([2], 0.0), ([2, 3], 0.0)]
+"""