def test_one_prefmap_tree(simple_ds):
prefmap = Prefmap(ds=simple_ds)
pc = PrefmapController(prefmap)
test = TestOneNode(one_model=pc)
test.configure_traits(view=dummy_view(prefmap_nodes))
),
# _traitsui.Item('controller.model_struct', style='simple', label='Model'),
label='Select data set',
show_border=True,
)
conjoint_plugin_view = make_plugin_view('Conjoint', conjoint_nodes,
selection_view, conjoint_view)
if __name__ == '__main__':
print("Conjoint GUI test start")
from tests.conftest import conjoint_dsc
from dataset_container import get_ds_by_name
one_branch = False
dsc = conjoint_dsc()
if one_branch:
d = get_ds_by_name('Tine yogurt design', dsc)
l = get_ds_by_name('Odour-flavor', dsc)
c = get_ds_by_name('Consumers', dsc)
cj = Conjoint(design=d, liking=l, consumers=c)
cjc = ConjointController(cj)
test = TestOneNode(one_model=cjc)
test.configure_traits(view=dummy_view(conjoint_nodes))
else:
conjoint = CalcContainer(dsc=conjoint_dsc())
cpc = ConjointPluginController(conjoint)
cpc.configure_traits(view=conjoint_plugin_view)
def test_one_pca_tree(simple_ds):
pca = Pca(ds=simple_ds)
pc = PcaController(pca)
test = TestOneNode(one_model=pc)
test.configure_traits(view=dummy_view(pca_nodes))
prefmap_plugin_view = make_plugin_view(
'Prefmap', prefmap_nodes, selection_view, prefmap_view)
if __name__ == '__main__':
print("Prefmap GUI test start")
from tests.conftest import imp_ds
one_branch = False
# Folder, File name, Display name, DS type
ds_C_meta = ('Cheese', 'ConsumerLiking.txt',
'Cheese liking', 'Consumer liking')
ds_S_meta = ('Cheese', 'SensoryData.txt',
'Cheese profiling', 'Descriptive analysis / sensory profiling')
C = imp_ds(ds_C_meta)
S = imp_ds(ds_S_meta)
if one_branch:
prefmap = Prefmap(ds_C=C, ds_S=S)
pc = PrefmapController(prefmap)
test = TestOneNode(one_model=pc)
test.configure_traits(view=dummy_view(prefmap_nodes))
else:
dsc = DatasetContainer()
dsc.add(C)
dsc.add(S)
prefmap = PrefmapCalcContainer(dsc=dsc)
ppc = PrefmapPluginController(prefmap)
ppc.configure_traits(
view=prefmap_plugin_view)
selection_view = _traitsui.Group(
_traitsui.Item(
'controller.selected_ds',
editor=_traitsui.CheckListEditor(name='controller.available_ds'),
style='custom',
show_label=False,
width=200,
height=200,
),
label='Select data set',
show_border=True,
)
pca_plugin_view = make_plugin_view('Pca', pca_nodes, selection_view, pca_view)
if __name__ == '__main__':
print("PCA GUI test start")
from tests.conftest import iris_ds, synth_dsc, zero_var_ds
one_branch = False
if one_branch:
tds = zero_var_ds()
pca = Pca(ds=tds)
pc = PcaController(pca)
test = TestOneNode(one_model=pc)
test.configure_traits(view=dummy_view(pca_nodes))
else:
pcap = PcaCalcContainer(dsc=synth_dsc())
ppc = PcaPluginController(pcap)
ppc.configure_traits(view=pca_plugin_view)
selection_view = _traitsui.Group(
_traitsui.Item(
'controller.selected_ds',
editor=_traitsui.CheckListEditor(name='controller.available_ds'),
style='custom',
show_label=False,
width=200,
height=200,
),
label='Select data set',
show_border=True,
)
bs_plugin_view = make_plugin_view('Basic Statistics', bs_nodes, selection_view,
bs_view)
if __name__ == '__main__':
print("Basic stat GUI test start")
from tests.conftest import all_dsc, synth_dsc, discrete_ds
one_branch = False
if one_branch:
bs = BasicStat(ds=discrete_ds())
bsc = BasicStatController(bs)
tods = TestOneNode(one_model=bsc)
tods.configure_traits(view=dummy_view(bs_nodes))
else:
bsp = BasicStatCalcContainer(dsc=all_dsc())
bspc = BasicStatPluginController(bsp)
bspc.configure_traits(view=bs_plugin_view)