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""" 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
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 test_torus():
assert _points.torus(n_samples = 64, dim = 3, sample = 'random').shape == (64, 6)
assert _points.torus(n_samples = 64, dim = 3, sample = 'grid').shape == (64, 6)
assert _points.torus(n_samples = 10, dim = 4, sample = 'random').shape == (10, 8)
assert _points.torus(n_samples = 10, dim = 4, sample = 'grid').shape == (1, 8)
with pytest.raises(ValueError):
_points.torus(n_samples = 10, dim = 4, sample = 'other')
def test_torus_full_python():
assert points.torus(n_samples = 64, dim = 3, sample = 'random').shape == (64, 6)
assert points.torus(n_samples = 64, dim = 3, sample = 'grid').shape == (64, 6)
assert points.torus(n_samples = 10, dim = 4, sample = 'random').shape == (10, 8)
assert points.torus(n_samples = 10, dim = 4, sample = 'grid').shape == (1, 8)
with pytest.raises(ValueError):
points.torus(n_samples = 10, dim = 4, sample = 'other')
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