def test_from_model_normal_run(self, adata_cflare: AnnData):
m = create_model(adata_cflare).prepare(adata_cflare.var_names[0],
"1").fit()
m.predict()
m.confidence_interval()
fm = FittedModel.from_model(m)
assert fm.prepared
assert fm._gene == m._gene
assert fm._lineage == m._lineage
np.testing.assert_array_equal(fm.x_test, m.x_test)
assert fm.x_test is not m.x_test
np.testing.assert_array_equal(fm.y_test, m.y_test)
assert fm.y_test is not m.y_test
np.testing.assert_array_equal(fm.conf_int, m.conf_int)
assert fm.conf_int is not m.conf_int
np.testing.assert_array_equal(fm.x_all, m.x_all)
assert fm.x_all is not m.x_all
np.testing.assert_array_equal(fm.y_all, m.y_all)
assert fm.y_all is not m.y_all
np.testing.assert_array_equal(fm.w_all, m.w_all)
assert fm.y_all is not m.w_all
def test_from_model_not_fitted_model(self, adata_cflare: AnnData):
m = create_model(adata_cflare).prepare(adata_cflare.var_names[0], "1")
with pytest.raises(ValueError):
FittedModel.from_model(m)
def from_model_wrong_type(self, adata_cflare):
m = create_model(adata_cflare)
with pytest.raises(TypeError):
FittedModel.from_model(m.model)