def test_boolean_ellipsoids_overlap():
r"""Test to make sure that boolean objects (ellipsoids, overlap)
behave the way we expect.
Test overlapping ellipsoids.
"""
ds = fake_amr_ds()
ell1 = ds.ellipsoid([0.45]*3, 0.05, 0.05, 0.05, np.array([0.1]*3), 0.1)
ell2 = ds.ellipsoid([0.55]*3, 0.05, 0.05, 0.05, np.array([0.1]*3), 0.1)
# Get indices of both.
i1 = ell1["index","morton_index"]
i2 = ell2["index","morton_index"]
# Make some booleans
bo1 = ell1 & ell2
bo2 = ell1 - ell2
bo3 = ell1 | ell2
bo4 = ds.union([ell1, ell2])
bo5 = ds.intersection([ell1, ell2])
# Now make sure the indices also behave as we expect.
overlap = np.intersect1d(i1, i2)
diff = np.setdiff1d(i1, i2)
both = np.union1d(i1, i2)
b1 = bo1["index","morton_index"]
b1.sort()
b2 = bo2["index","morton_index"]
b2.sort()
b3 = bo3["index","morton_index"]
b3.sort()
assert_array_equal(b1, overlap)
assert_array_equal(b2, diff)
assert_array_equal(b3, both)
b4 = bo4["index","morton_index"]
b4.sort()
b5 = bo5["index","morton_index"]
b5.sort()
assert_array_equal(b3, b4)
assert_array_equal(b1, b5)
bo6 = ell1 ^ ell2
b6 = bo6["index", "morton_index"]
b6.sort()
assert_array_equal(b6, np.setxor1d(i1, i2))
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