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author | Hind-M <hind.montassif@gmail.com> | 2021-11-22 16:45:50 +0100 |
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committer | Hind-M <hind.montassif@gmail.com> | 2021-11-22 16:45:50 +0100 |
commit | 8b6d8660cedcfe9b95d6edf18ae85358c787226a (patch) | |
tree | 984405cdedcf97cc53b3ce420592b599b1645c26 /src/python/test/test_datasets_generators.py | |
parent | bb07d2bb439e827f232a7504fc2144a4ba5a2478 (diff) | |
parent | 61416d47f1d4fd96694ae58a83d29505b637d421 (diff) |
Merge remote-tracking branch 'upstream/master' into gspr/exact-betti-curve
Diffstat (limited to 'src/python/test/test_datasets_generators.py')
-rwxr-xr-x | src/python/test/test_datasets_generators.py | 39 |
1 files changed, 39 insertions, 0 deletions
diff --git a/src/python/test/test_datasets_generators.py b/src/python/test/test_datasets_generators.py new file mode 100755 index 00000000..91ec4a65 --- /dev/null +++ b/src/python/test/test_datasets_generators.py @@ -0,0 +1,39 @@ +""" 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): Hind Montassif + + Copyright (C) 2021 Inria + + Modification(s): + - YYYY/MM Author: Description of the modification +""" + +from gudhi.datasets.generators import points + +import pytest + +def test_sphere(): + assert points.sphere(n_samples = 10, ambient_dim = 2, radius = 1., sample = 'random').shape == (10, 2) + + with pytest.raises(ValueError): + points.sphere(n_samples = 10, ambient_dim = 2, radius = 1., sample = 'other') + +def _basic_torus(impl): + assert impl(n_samples = 64, dim = 3, sample = 'random').shape == (64, 6) + assert impl(n_samples = 64, dim = 3, sample = 'grid').shape == (64, 6) + + assert impl(n_samples = 10, dim = 4, sample = 'random').shape == (10, 8) + + # Here 1**dim < n_samples < 2**dim, the output shape is therefore (1, 2*dim) = (1, 8), where shape[0] is rounded down to the closest perfect 'dim'th power + assert impl(n_samples = 10, dim = 4, sample = 'grid').shape == (1, 8) + + with pytest.raises(ValueError): + impl(n_samples = 10, dim = 4, sample = 'other') + +def test_torus(): + for torus_impl in [points.torus, points.ctorus]: + _basic_torus(torus_impl) + # Check that the two versions (torus and ctorus) generate the same output + assert points.ctorus(n_samples = 64, dim = 3, sample = 'random').all() == points.torus(n_samples = 64, dim = 3, sample = 'random').all() + assert points.ctorus(n_samples = 64, dim = 3, sample = 'grid').all() == points.torus(n_samples = 64, dim = 3, sample = 'grid').all() + assert points.ctorus(n_samples = 10, dim = 3, sample = 'grid').all() == points.torus(n_samples = 10, dim = 3, sample = 'grid').all() |