def test_too_few_points_for_polyfit_warning():
"""Test that the correct warning is raised if data is not enough to fit."""
fac = PolyFactory(X_VALS, order=2)
fac._instack = [
{
"scale_factor": 1.0,
"shots": 100
},
{
"scale_factor": 2.0,
"shots": 100
},
]
fac._outstack = [1.0, 2.0]
with warns(
ExtrapolationWarning,
match=r"The extrapolation fit may be ill-conditioned.",
):
fac.reduce()
# test also the static "extrapolate" method.
with warns(
ExtrapolationWarning,
match=r"The extrapolation fit may be ill-conditioned.",
):
PolyFactory.extrapolate([1.0, 2.0], [1.0, 2.0], order=2)
def test_too_few_points_for_polyfit_error():
"""Test that the correct error is raised if data is not enough to fit."""
fac = PolyFactory(X_VALS, order=2)
fac._instack = [
{
"scale_factor": 1.0,
"shots": 100
},
{
"scale_factor": 2.0,
"shots": 100
},
]
fac._outstack = [1.0, 2.0]
with raises(ValueError, match=r"Extrapolation order is too high."):
fac.reduce()
