def test_tran_md(self):
md = models.make_test()
## Check for identical responses
df = gr.df_make(x0=1, x1=1, x2=1)
df_ev = gr.eval_df(md, df=df)
df_tf = gr.tran_md(df, md=md)
self.assertTrue(gr.df_equal(df_ev, df_tf))
def setUp(self):
self.md = models.make_test()
self.df_mc = gr.eval_monte_carlo(self.md, df_det="nom")
self.df_mc_skip = gr.eval_monte_carlo(self.md, df_det="nom", skip=True)
self.df_sinew = gr.eval_sinews(self.md, n_density=2, n_sweeps=1, df_det="nom")
self.df_sinew_skip = gr.eval_sinews(
self.md,
n_density=2,
n_sweeps=1,
df_det="nom",
skip=True
)
def setUp(self):
self.md = models.make_test()
self.md_mixed = (
gr.Model()
>> gr.cp_function(fun=lambda x: x[0], var=3, out=1)
>> gr.cp_bounds(x2=(0, 1))
>> gr.cp_marginals(
x0={"dist": "uniform", "loc": 0, "scale": 1},
x1={"dist": "uniform", "loc": 0, "scale": 1},
)
>> gr.cp_copula_independence()
)
def test_make(self):
## Models build
md_cantilever_beam = models.make_cantilever_beam()
md_ishigami = models.make_ishigami()
md_linear_normal = models.make_linear_normal()
md_plane_laminate = models.make_composite_plate_tension([0])
md_plate_buckling = models.make_plate_buckle()
md_poly = models.make_poly()
md_test = models.make_test()
md_trajectory_linear = models.make_trajectory_linear()
## Models evaluate
df_cantilever = md_cantilever_beam >> gr.ev_nominal(df_det="nom")
df_ishigami = md_ishigami >> gr.ev_nominal(df_det="nom")
df_ln = md_linear_normal >> gr.ev_nominal(df_det="nom")
df_plane = md_plane_laminate >> gr.ev_nominal(df_det="nom")
df_plate = md_plate_buckling >> gr.ev_nominal(df_det="nom")
df_poly = md_poly >> gr.ev_nominal(df_det="nom")
df_test = md_test >> gr.ev_nominal(df_det="nom")
df_traj = md_trajectory_linear >> gr.ev_nominal(df_det="nom")
def setUp(self):
self.model = models.make_test()
def setUp(self):
self.model_default = models.make_test()
self.df_test = models.df_test_input
def setUp(self):
self.model = models.make_test()
self.df = gr.df_make(x=1)