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- from __future__ import division, print_function, absolute_import
- import scipy.special as sc
- import numpy as np
- from numpy.testing import assert_, assert_equal, assert_allclose
- def test_zeta():
- assert_allclose(sc.zeta(2,2), np.pi**2/6 - 1, rtol=1e-12)
- def test_zeta_1arg():
- assert_allclose(sc.zeta(2), np.pi**2/6, rtol=1e-12)
- assert_allclose(sc.zeta(4), np.pi**4/90, rtol=1e-12)
- def test_zetac():
- assert_equal(sc.zetac(0), -1.5)
- assert_equal(sc.zetac(1.0), np.inf)
- # Expected values in the following were computed using
- # Wolfram Alpha `Zeta[x] - 1`:
- rtol = 1e-12
- assert_allclose(sc.zetac(-2.1), -0.9972705002153750, rtol=rtol)
- assert_allclose(sc.zetac(0.8), -5.437538415895550, rtol=rtol)
- assert_allclose(sc.zetac(0.9999), -10000.42279161673, rtol=rtol)
- assert_allclose(sc.zetac(9), 0.002008392826082214, rtol=rtol)
- assert_allclose(sc.zetac(50), 8.881784210930816e-16, rtol=rtol)
- assert_allclose(sc.zetac(75), 2.646977960169853e-23, rtol=rtol)
- def test_zetac_negative_even():
- pts = [-2, -50, -100]
- for p in pts:
- assert_equal(sc.zetac(p), -1)
- def test_zetac_inf():
- assert_equal(sc.zetac(np.inf), 0.0)
- assert_(np.isnan(sc.zetac(-np.inf)))
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