def test_fixed_delta():
noises = B.rand(3)
k = FixedDelta(noises)
# Verify that the kernel has the right properties.
assert k.stationary
assert k.var == 1
assert k.length_scale == 0
assert k.period == np.inf
assert str(k) == 'FixedDelta()'
# Check equality.
assert FixedDelta(noises) == FixedDelta(noises)
assert FixedDelta(noises) != FixedDelta(2 * noises)
assert FixedDelta(noises) != EQ()
# Standard tests:
standard_kernel_tests(k)
# Check correctness.
x1 = B.randn(5)
x2 = B.randn(5)
allclose(k(x1), B.zeros(5, 5))
allclose(k.elwise(x1), B.zeros(5, 1))
allclose(k(x1, x2), B.zeros(5, 5))
allclose(k.elwise(x1, x2), B.zeros(5, 1))
x1 = B.randn(3)
x2 = B.randn(3)
allclose(k(x1), B.diag(noises))
allclose(k.elwise(x1), B.uprank(noises))
allclose(k(x1, x2), B.zeros(3, 3))
allclose(k.elwise(x1, x2), B.zeros(3, 1))
def test_fixed_delta():
noises = B.rand(3)
k = FixedDelta(noises)
# Verify that the kernel has the right properties.
assert k.stationary
assert str(k) == "FixedDelta()"
# Check equality.
assert FixedDelta(noises) == FixedDelta(noises)
assert FixedDelta(noises) != FixedDelta(2 * noises)
assert FixedDelta(noises) != EQ()
# Standard tests:
standard_kernel_tests(k)
# Check correctness.
x1 = B.randn(5)
x2 = B.randn(5)
approx(k(x1), B.zeros(5, 5))
approx(k.elwise(x1), B.zeros(5, 1))
approx(k(x1, x2), B.zeros(5, 5))
approx(k.elwise(x1, x2), B.zeros(5, 1))
x1 = B.randn(3)
x2 = B.randn(3)
approx(k(x1), B.diag(noises))
approx(k.elwise(x1), B.uprank(noises))
approx(k(x1, x2), B.zeros(3, 3))
approx(k.elwise(x1, x2), B.zeros(3, 1))
