def test_missing_data_idx(self):
with pytest.raises(InputError):
model_data = {(): [1, 0.05],
3: [2, 0.05],
4: [3, 0.05]}
GaussianLink3D(model_parameters=model_parameters_3D,
model_data=model_data)
def test_ext_mod_data_list(self):
data_list = [[(1, 2), [1, 0.05]],
[3, [2, 0.05]],
[4, [3, 0.05]]]
modellink_obj = GaussianLink3D(model_parameters=model_parameters_3D,
model_data=data_list)
repr(modellink_obj)
def test_ext_mod_data_dict(self):
data_dict = {(1, 2): [1, 0.05],
3: [2, 0.05],
4: [3, 0.05]}
modellink_obj = GaussianLink3D(model_parameters=model_parameters_3D,
model_data=data_dict)
repr(modellink_obj)
def test_invalid_data_spc(self):
with pytest.raises(ValueError):
model_data = {1: [1, 0.05],
3: [2, 0.05],
4: [3, 0.05, 'A']}
GaussianLink3D(model_parameters=model_parameters_3D,
model_data=model_data)
def pipe_GUI(tmpdir_factory):
# Get paths to files
model_data = path.join(DIR_PATH,
'../../tests/data/data_gaussian_single.txt')
model_parameters_3D = path.join(
DIR_PATH, '../../tests/data/parameters_gaussian_3D.txt')
# Create PolyLink object
modellink_obj = GaussianLink3D(model_parameters=model_parameters_3D,
model_data=model_data)
# Create Pipeline object
tmpdir = tmpdir_factory.mktemp('test_GUI')
root_dir = path.dirname(tmpdir.strpath)
working_dir = path.basename(tmpdir.strpath)
prism_dict = {
'n_sam_init': 150,
'proj_res': 5,
'proj_depth': 15,
'base_eval_sam': 400,
'l_corr': 0.3,
'impl_cut': [4.0, 3.5, 3.2],
'criterion': None,
'method': 'full',
'use_regr_cov': False,
'poly_order': 3,
'n_cross_val': 5,
'do_active_anal': True,
'freeze_active_par': True,
'pot_active_par': None,
'use_mock': True
}
pipe = Pipeline(modellink_obj,
root_dir=root_dir,
working_dir=working_dir,
prism_par=prism_dict)
# Construct the first and second iteration of the emulator
pipe.construct(1)
pipe.construct(2, analyze=False)
# Return pipe
return (pipe)
def test_n_model_data(self):
with pytest.raises(ValueError):
GaussianLink3D(model_parameters=model_parameters_3D)
def test_n_model_par(self):
with pytest.raises(e13.InputError):
par_dict = {'A': [1, 5, 2.5]}
GaussianLink3D(model_parameters=par_dict)
def test_data_input_types(self):
modellink_obj = GaussianLink3D(model_parameters=model_parameters_3D,
model_data=model_data_types)
repr(modellink_obj)
def test_double_errors(self):
modellink_obj = GaussianLink3D(model_parameters=model_parameters_3D,
model_data=model_data_double)
repr(modellink_obj)