def test_delta_evaluations(x1, x2):
k = Delta()
n1 = B.shape(B.uprank(x1))[0]
n2 = B.shape(B.uprank(x2))[0]
# Check uniqueness checks.
allclose(k(x1), B.eye(n1))
allclose(k(x1, x2), B.zeros(n1, n2))
# Standard tests:
standard_kernel_tests(k)
# Test `Unique` inputs.
assert isinstance(k(Unique(x1), Unique(x1.copy())), Zero)
assert isinstance(k(Unique(x1), Unique(x1)), Diagonal)
assert isinstance(k(Unique(x1), x1), Zero)
assert isinstance(k(x1, Unique(x1)), Zero)
allclose(k.elwise(Unique(x1), Unique(x1.copy())), B.zeros(n1, 1))
allclose(k.elwise(Unique(x1), Unique(x1)), B.ones(n1, 1))
allclose(k.elwise(Unique(x1), x1), B.zeros(n1, 1))
allclose(k.elwise(x1, Unique(x1)), B.zeros(n1, 1))
def test_delta_evaluations(x1, w1, x2, w2):
k = Delta()
n1 = num_elements(x1)
n2 = num_elements(x2)
# Check uniqueness checks.
approx(k(x1), B.eye(n1))
approx(k(x1, x2), B.zeros(n1, n2))
# Standard tests:
standard_kernel_tests(k)
# Test `Unique` inputs.
assert isinstance(k(Unique(x1), Unique(x1.copy())), Zero)
assert isinstance(k(Unique(x1), Unique(x1)), Diagonal)
assert isinstance(k(Unique(x1), x1), Zero)
assert isinstance(k(x1, Unique(x1)), Zero)
approx(k.elwise(Unique(x1), Unique(x1.copy())), B.zeros(n1, 1))
approx(k.elwise(Unique(x1), Unique(x1)), B.ones(n1, 1))
approx(k.elwise(Unique(x1), x1), B.zeros(n1, 1))
# Test `WeightedUnique` inputs.
assert isinstance(k(WeightedUnique(x1, w1), WeightedUnique(x1.copy(), w1)),
Zero)
assert isinstance(k(WeightedUnique(x1, w1), WeightedUnique(x1, w1)),
Diagonal)
assert isinstance(k(WeightedUnique(x1, w1), x1), Zero)
assert isinstance(k(x1, WeightedUnique(x1, w1)), Zero)
approx(k.elwise(WeightedUnique(x1, w1), WeightedUnique(x1.copy(), w1)),
B.zeros(n1, 1))
approx(k.elwise(WeightedUnique(x1, w1), WeightedUnique(x1, w1)),
B.ones(n1, 1))
approx(k.elwise(WeightedUnique(x1, w1), x1), B.zeros(n1, 1))
approx(k.elwise(x1, WeightedUnique(x1, w1)), B.zeros(n1, 1))
approx(k.elwise(x1, WeightedUnique(x1, w1)), B.zeros(n1, 1))
