def test__fit_sample_size(self):
distribution = GaussianKDE(sample_size=3)
distribution._fit(np.array([1, 2, 3, 4]))
assert len(distribution._params['dataset']) == 1
assert len(distribution._params['dataset'][0]) == 3
def test__fit(self):
distribution = GaussianKDE()
distribution._fit(np.array([1, 2, 3, 4]))
assert distribution._params == {
'dataset': [1, 2, 3, 4],
}
