test_zeta.py 1.2 KB

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