def test_set_observer(self):
"""Test set_observer"""
import numpy as np
observer1 = MockObserver("Obs1")
observer2 = MockObserver("Obs2")
pts = ((0, 0, 0), (10, 0, 1), (10, 10, 2), (0, 10, 3))
tris = (0, 1, 3, 1, 2, 3)
interp = InterpIdw(pts, tris)
# Non-Observer Type
with self.assertRaises(TypeError) as context:
interp.set_observer("xyz")
err = context.exception
self.assertIn("SetObserver(): incompatible function arguments.",
str(err))
interp.set_observer(observer1)
interp.interpolate_to_points(np.random.rand(100000, 3) + 5)
self.assertGreater(observer1.status['percent_complete'], 0.0)
self.assertGreater(observer1.status['elapsed_seconds'], 0.0)
interp.set_observer(observer2)
interp.interpolate_to_points(np.random.rand(100000, 3) + 5)
self.assertGreater(observer2.status['percent_complete'], 0.0)
self.assertGreater(observer2.status['elapsed_seconds'], 0.0)
def test_interp_to_pts(self):
"""Interpolate to multiple points"""
pts = ((0, 0, 0), (10, 0, 1), (10, 10, 2), (0, 10, 3))
interp = InterpIdw(pts)
ret = interp.interpolate_to_points(
np.array([(2.0, 1.0, 0.0), (5.0, 10.0, 2.5)]))
np.testing.assert_array_almost_equal((0.02681550197303295, 2.5), ret)
def test_interp_to_pts_numpy(self):
"""Interpolate to multiple points"""
import numpy as np
pts = np.array([(0, 0, 0), (10, 0, 1), (10, 10, 2), (0, 10, 3)])
interp = InterpIdw(pts)
ret = interp.interpolate_to_points(
np.array(((2.0, 1.0, 0.0), (5.0, 10.0, 2.5))))
self.assertIsInstance(ret, np.ndarray)
np.testing.assert_array_equal(np.array([0.02681550197303295, 2.5]),
ret)