def test_doubles(self):
x = np.arange(1, 11, 1, dtype=np.double)
z = np.array(
(41.2, 40.2, 39.7, 39.2, 40.1, 38.3, 39.1, 40.0, 41.1, 40.3),
dtype=np.double)
bins = np.arange(1, 11, 1, dtype=np.double)
gamma, bin_centres = variogram.estimate_unstructured(z, bins, x)
self.assertAlmostEqual(gamma[0], .4917, places=4)
def test_mixed(self):
x = np.arange(1, 11, 1, dtype=np.double)
z = np.array(
(41.2, 40.2, 39.7, 39.2, 40.1, 38.3, 39.1, 40.0, 41.1, 40.3),
dtype=np.double)
bins = np.arange(1, 11, 1, dtype=int)
gamma, bin_centres = variogram.estimate_unstructured(z, bins, x)
self.assertAlmostEqual(gamma[0], .4917, places=4)
x = np.arange(1, 5, 1, dtype=np.double)
z = np.array((10, 20, 30, 40), dtype=LONGTYPE)
bins = np.arange(1, 11, 1, dtype=int)
gamma, bin_centres = variogram.estimate_unstructured(z, bins, x)
self.assertAlmostEqual(gamma[0], 50., places=4)
x = np.arange(1, 5, 1, dtype=np.double)
z = np.array((10, 20, 30, 40), dtype=LONGTYPE)
bins = np.arange(1, 11, 1, dtype=np.double)
gamma, bin_centres = variogram.estimate_unstructured(z, bins, x)
self.assertAlmostEqual(gamma[0], 50., places=4)
def test_sampling_1d(self):
x = np.linspace(0., 100., 21000)
rng = np.random.RandomState(1479373475)
field = rng.rand(len(x))
bins = np.arange(0, 100, 10)
gamma, bin_centres = variogram.estimate_unstructured(
field, bins, x, sampling_size=5000)
var = 1. / 12.
self.assertAlmostEqual(gamma[0], var, places=2)
self.assertAlmostEqual(gamma[len(gamma) // 2], var, places=2)
self.assertAlmostEqual(gamma[-1], var, places=2)
def test_uncorrelated_2d(self):
x_c = np.linspace(0., 100., 60)
y_c = np.linspace(0., 100., 60)
x, y = np.meshgrid(x_c, y_c)
x = np.reshape(x, len(x_c) * len(y_c))
y = np.reshape(y, len(x_c) * len(y_c))
rng = np.random.RandomState(1479373475)
field = rng.rand(len(x))
bins = np.arange(0, 100, 10)
gamma, bin_centres = variogram.estimate_unstructured(field, bins, x, y)
var = 1. / 12.
self.assertAlmostEqual(gamma[0], var, places=2)
self.assertAlmostEqual(gamma[len(gamma) // 2], var, places=2)
self.assertAlmostEqual(gamma[-1], var, places=2)
def test_np_int(self):
x = np.arange(1, 5, 1, dtype=np.int)
z = np.array((10, 20, 30, 40), dtype=np.int)
bins = np.arange(1, 11, 1, dtype=np.int)
gamma, bin_centres = variogram.estimate_unstructured(z, bins, x)
self.assertAlmostEqual(gamma[0], 50., places=4)