def test_smooth_uniform(self, setup):
g = Grid(0.1, sc=[[2, 0, 0], [0, 2, 0], [0, 0, 2]])
g[10, 10, 10] = 1
# With a radius of 0.7 Ang, that single value should be propagated
# to the whole grid
smoothed = g.smooth(r=1., method='uniform')
assert not np.any(smoothed.grid == 0)
# With a sigma of 0.1 Ang, borders should still be 0
smoothed = g.smooth(r=0.9, method='uniform')
assert np.any(smoothed.grid == 0)
def test_smooth_gaussian(self, setup):
g = Grid(0.1, sc=[[2, 0, 0], [0, 2, 0], [0, 0, 2]])
g[10, 10, 10] = 1
# With a sigma of 0.3 Ang, that single value should be propagated
# to the whole grid
smoothed = g.smooth(r=0.7, truncate=4)
assert not np.any(smoothed.grid == 0)
# With a sigma of 0.2 Ang, borders should be still 0
smoothed = g.smooth(r=0.1, truncate=4)
assert np.any(smoothed.grid == 0)
