def test_cov_exp(self):
self.assertTrue(
np.allclose(ipol.cov_exp([0., 5., 10.]),
np.array([1., 6.73794700e-03, 4.53999298e-05])))
self.assertTrue(
np.allclose(ipol.cov_exp([0., 5., 10.], sill=2., rng=10.),
np.array([2., 1.21306132, 0.73575888])))
def test_cov_exp(self):
assert np.allclose(
ipol.cov_exp([0.0, 5.0, 10.0]),
np.array([1.0, 6.73794700e-03, 4.53999298e-05]),
)
assert np.allclose(
ipol.cov_exp([0.0, 5.0, 10.0], sill=2.0, rng=10.0),
np.array([2.0, 1.21306132, 0.73575888]),
)
def test_parse_covariogram(self):
cov_model = '1.0 Exp(10.5) + 2.3 Sph(20.4) + 5.0 Nug(0.)'
h = 5.0
c = ipol.parse_covariogram(cov_model)
ci = sum([ipol.cov_exp(h, 1., 10.5),
ipol.cov_sph(h, 2.3, 20.4),
ipol.cov_nug(h, 5.0, 0.)])
self.assertTrue(c(h) == ci)
def test_parse_covariogram(self):
cov_model = '1.0 Exp(10.5) + 2.3 Sph(20.4) + 5.0 Nug(0.)'
h = 5.0
c = ipol.parse_covariogram(cov_model)
ci = sum([ipol.cov_exp(h, 1., 10.5),
ipol.cov_sph(h, 2.3, 20.4),
ipol.cov_nug(h, 5.0, 0.)])
self.assertTrue(c(h) == ci)
def test_parse_covariogram(self):
cov_model = "1.0 Exp(10.5) + 2.3 Sph(20.4) + 5.0 Nug(0.)"
h = 5.0
c = ipol.parse_covariogram(cov_model)
ci = sum([
ipol.cov_exp(h, 1.0, 10.5),
ipol.cov_sph(h, 2.3, 20.4),
ipol.cov_nug(h, 5.0, 0.0),
])
assert c(h) == ci
def test_cov_exp(self):
self.assertTrue(np.allclose(ipol.cov_exp([0., 5., 10.]), np.array(
[1., 6.73794700e-03, 4.53999298e-05])))
self.assertTrue(
np.allclose(ipol.cov_exp([0., 5., 10.], sill=2., rng=10.),
np.array([2., 1.21306132, 0.73575888])))