def test_noncentral_chisquare(self):
rnd.seed(self.seed, self.brng)
actual = rnd.noncentral_chisquare(df=5, nonc=5, size=(3, 2))
desired = np.array([[5.871334619375055, 8.756238913383225],
[17.29576535176833, 3.9028417087862177],
[5.1315133729432505, 9.942717979531027]])
np.testing.assert_array_almost_equal(actual, desired, decimal=7)
actual = rnd.noncentral_chisquare(df=.5, nonc=.2, size=(3, 2))
desired = np.array([[0.0008971007339949436, 0.08948578998156566],
[0.6721835871997511, 2.8892645287699352],
[5.0858149962761007e-05, 1.7315797643658821]])
np.testing.assert_array_almost_equal(actual, desired, decimal=7)
def test_non_central_chi_squared_df_one(self):
a = rnd.noncentral_chisquare(df=1.0, nonc=2.3, size=10**4)
assert (a.min() > 0.0)