def test_equal_reference():
clss = (TxRef, RxRef)
refs = (dict(forward=txref_forward_reference,
adjoint_x=txref_adjoint_x_reference,
),
dict(forward=rxref_forward_reference,
adjoint_x=rxref_adjoint_x_reference,
),
)
Ls = (13, 13, 13)
Ms = (37, 37, 10)
Ns = (13, 64, 27)
Rs = (1, 2, 3)
sdtypes = (np.float32, np.complex128)
np.random.seed(1)
for (cls, ref), (L, M, N), R, sdtype in itertools.product(
zip(clss, refs), zip(Ls, Ms, Ns), Rs, sdtypes
):
model = cls(L=L, M=M, N=N, R=R, precision=sdtype)
# forward operation
fun = model.forward
reffun = ref['forward']
s = get_random_oncircle(model.sshape, model.sdtype)
x = get_random_uniform(model.xshape, model.xydtype)
y = np.zeros(model.yshape, model.xydtype)
callable_test = check_equal_reference(fun, reffun, (s, x, y))
callable_test.description = callable_test.description.format(
L, M, N, R, np.dtype(sdtype).str
)
yield callable_test
# adjoint_x operation
fun = model.adjoint_x
reffun = ref['adjoint_x']
y = get_random_uniform(model.yshape, model.xydtype)
s = get_random_oncircle(model.sshape, model.sdtype)
x = np.zeros(model.xshape, model.xydtype)
callable_test = check_equal_reference(fun, reffun, (y, s, x))
callable_test.description = callable_test.description.format(
L, M, N, R, np.dtype(sdtype).str
)
yield callable_test
def check_adjointness(cls, L, M, N, R, sdtype):
s = get_random_oncircle((L,), sdtype)
s = s/np.linalg.norm(s)
model = cls(L=L, M=M, N=N, R=R, precision=sdtype)
op = model(s=s)
err_msg = '{0} and {1} are not adjoints, with max error of {2}'
def call():
errs = adjointness_error(op, its=100)
np.testing.assert_array_almost_equal(
errs, 0, err_msg=err_msg.format(
op.A.__name__, op.As.__name__, np.max(np.abs(errs)),
)
)
call.description = '{5}: L={0}, M={1}, N={2}, R={3}, {4}'.format(
L, M, N, R, np.dtype(sdtype).str, cls.__name__,
)
return call
def check_opnorm(cls, L, M, N, R, sdtype):
s = get_random_oncircle((L,), sdtype)
s = s/np.linalg.norm(s)
model = cls(L=L, M=M, N=N, R=R, precision=sdtype)
op = model(s=s)
true_Anorm = 1
true_Asnorm = 1
err_msg = 'Estimated {0} norm ({1}) does not match true {0} norm ({2})'
def call():
Anorm, Asnorm, v = opnorm(op, reltol=1e-10, abstol=1e-8, maxits=100)
np.testing.assert_allclose(Anorm, true_Anorm, rtol=1e-4, atol=1e-2,
err_msg=err_msg.format('forward', Anorm, true_Anorm))
np.testing.assert_allclose(Asnorm, true_Asnorm, rtol=1e-4, atol=1e-2,
err_msg=err_msg.format('adjoint', Asnorm, true_Asnorm))
call.description = '{5}: L={0}, M={1}, N={2}, R={3}, {4}'.format(
L, M, N, R, np.dtype(sdtype).str, cls.__name__,
)
return call
