"""
Test the penalties for n3fit hyperopt
"""
from types import SimpleNamespace
from n3fit.hyper_optimization.penalties import integrability, patience, saturation
from n3fit.model_gen import generate_pdf_model
[docs]def test_saturation():
"""Check that the saturation penalty runs and returns a float"""
fake_fl = [
{"fl": i, "largex": [0, 1], "smallx": [1, 2]}
for i in ["u", "ubar", "d", "dbar", "c", "g", "s", "sbar"]
]
pdf_model = generate_pdf_model(
nodes=[8], activations=["linear"], seed=0, flav_info=fake_fl, fitbasis="FLAVOUR"
)
assert isinstance(saturation(pdf_model, 5)[0], float)
[docs]def test_patience():
"""Check that the patience penalty runs and returns a float"""
fake_stopping = SimpleNamespace(
e_best_chi2=1000, stopping_patience=500, total_epochs=5000, vl_chi2=2.42
)
res = patience(stopping_object=fake_stopping, alpha=1e-4)
assert isinstance(res, float)
[docs]def test_integrability_numbers():
"""Check that the integrability penalty runs and returns a float"""
fake_fl = [
{"fl": i, "largex": [0, 1], "smallx": [1, 2]}
for i in ["u", "ubar", "d", "dbar", "c", "g", "s", "sbar"]
]
pdf_model = generate_pdf_model(
nodes=[8], activations=["linear"], seed=0, flav_info=fake_fl, fitbasis="FLAVOUR"
)
assert isinstance(integrability(pdf_model), float)