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)