def test_nominal(self):
"""Checks the nominal evaluation is accurate
"""
df_res = gr.eval_nominal(self.model_2d)
## Accurate
self.assertTrue(gr.df_equal(self.df_2d_nominal, df_res))
## Pass-through
self.assertTrue(
gr.df_equal(
self.df_2d_nominal.drop(["f", "g"], axis=1),
gr.eval_nominal(self.model_2d, skip=True),
))
def test_ev_nominal(self):
"""Check ev_nominal()
"""
df_res = gr.eval_nominal(self.model_default, df_det="nom")
self.assertTrue(
gr.df_equal(df_res,
self.model_default >> gr.ev_nominal(df_det="nom")))
def test_nominal(self):
"""Checks the implementation of nominal values"""
md = gr.Model() >> gr.cp_bounds(
x0=[-1, +1], x1=[0.1, np.Inf], x2=[-np.Inf, -0.1],
)
df_true = gr.df_make(x0=0.0, x1=+0.1, x2=-0.1)
df_res = gr.eval_nominal(md, df_det="nom", skip=True)
self.assertTrue(gr.df_equal(df_res, df_true))
def test_nominal(self):
"""Checks the nominal evaluation is accurate
"""
df_res = gr.eval_nominal(self.model_2d)
## Accurate
self.assertTrue(gr.df_equal(self.df_2d_nominal, df_res))
## Invariant checks
self.inv_test.md_arg(gr.eval_nominal, df_arg="df_det")
self.inv_test.df_arg(gr.eval_nominal,
df_arg="df_det",
shortcut=True,
acc_none="var_det")
## Pass-through
self.assertTrue(
gr.df_equal(
self.df_2d_nominal.drop(["f", "g"], axis=1),
gr.eval_nominal(self.model_2d, skip=True),
))
def test_empty_functions(self):
md = gr.Model() >> gr.cp_bounds(x=[-1, +1])
with self.assertRaises(ValueError):
gr.eval_nominal(md)
