def test_should_correctly_update_domain(self):
# Given
pa = self._make_2d_grid()
ip = Interpolator([pa], num_points=1000)
p = ip.interpolate('p')
# When.
ip.set_domain((0.0, 1.0, 0.0, 1.0, 0.0, 0.0), (11, 11, 1))
p = ip.interpolate('p')
# Then.
expect = np.ones_like(p) * 2.0
self.assertTrue(np.allclose(p, expect))
def test_should_correctly_update_domain(self):
# Given
pa = self._make_2d_grid()
ip = Interpolator([pa], num_points=1000)
p = ip.interpolate('p')
# When.
ip.set_domain((0.0, 1.0, 0.0, 1.0, 0.0, 0.0), (11, 11, 1))
p = ip.interpolate('p')
# Then.
expect = np.ones_like(p)*2.0
self.assertTrue(np.allclose(p, expect))
def test_should_correctly_update_domain(self):
# Given
pa = self._make_2d_grid()
ip = Interpolator([pa], num_points=1000, domain_manager=self._domain)
p = ip.interpolate('p')
# When.
ip.set_domain((0.1, 1.0, 0.1, 1.0, 0.0, 0.0), (11, 11, 1))
p = ip.interpolate('p')
# Then.
expect = np.sin(ip.x * np.pi)
print(p - expect)
np.testing.assert_allclose(p, expect, atol=5e-3)
