def test_draw_from_empirical_distribution(self):
expected = 2
computed = utils.draw_from_empirical_distribution(
data_points=[2, 2, 2, 2, 2], nbins=1)
self.assertEqual(expected, np.round(computed))
def test_draw_from_empirical_distribution_raises_when_too_many_nbins(self):
with self.assertRaises(ValueError):
utils.draw_from_empirical_distribution(data_points=[1, 2, 3],
nbins=4)
def test_draw_from_empirical_distribution_raises_when_empty_data_points(
self):
with self.assertRaises(ValueError):
utils.draw_from_empirical_distribution(data_points=[], nbins=2)
def test_draw_from_empirical_distribution_raises_when_not_positive_nbins(
self):
with self.assertRaises(ValueError):
utils.draw_from_empirical_distribution([1, 2, 3], nbins=-2)