def test_opt_params_poly_factory(order):
"""Tests that optimal parameters are stored after calling the reduce method.
"""
fac = PolyFactory(scale_factors=np.linspace(1, 10, 10), order=order)
assert fac.opt_params == []
fac.iterate(apply_seed_to_func(f_non_lin, seed=SEED))
zne_value = fac.reduce()
assert len(fac.opt_params) == order + 1
assert np.isclose(fac.opt_params[-1], zne_value)
def test_poly_extr():
"""Test of polynomial extrapolator."""
# test (order=1)
fac = PolyFactory(X_VALS, order=1)
fac.iterate(f_lin)
assert np.isclose(fac.reduce(), f_lin(0, err=0), atol=CLOSE_TOL)
# test that, for some non-linear functions,
# order=1 is bad while order=2 is better.
seeded_f = apply_seed_to_func(f_non_lin, SEED)
fac = PolyFactory(X_VALS, order=1)
fac.iterate(seeded_f)
assert not np.isclose(fac.reduce(), seeded_f(0, err=0), atol=NOT_CLOSE_TOL)
seeded_f = apply_seed_to_func(f_non_lin, SEED)
fac = PolyFactory(X_VALS, order=2)
fac.iterate(seeded_f)
assert np.isclose(fac.reduce(), seeded_f(0, err=0), atol=CLOSE_TOL)