class Inputs:
train_data = Input('训练数据(Train Data)',
DataLoader,
default=True,
replaces=['Data'])
test_data = Input('测试数据(Test Data)', DataLoader, replaces=['Data'])
model = Input('模型(Model)', nn.Module, replaces=['Model'])
def test_init(self):
with patch("Orange.widgets.utils.signals._Signal.get_flags",
return_value=42) as getflags:
signal = Input("a name", int, "an id", "a doc", ["x"])
self.assertEqual(signal.name, "a name")
self.assertEqual(signal.type, int)
self.assertEqual(signal.id, "an id")
self.assertEqual(signal.doc, "a doc")
self.assertEqual(signal.replaces, ["x"])
self.assertEqual(signal.flags, 42)
getflags.assert_called_with(False, False, False, False)
Input("a name", int, "an id", "a doc", ["x"], multiple=True)
getflags.assert_called_with(True, False, False, False)
Input("a name", int, "an id", "a doc", ["x"], default=True)
getflags.assert_called_with(False, True, False, False)
Input("a name", int, "an id", "a doc", ["x"], explicit=True)
getflags.assert_called_with(False, False, True, False)
def test_decorate(self):
input = Input("a name", int)
self.assertEqual(input.handler, "")
@input
def foo():
pass
self.assertEqual(input.handler, "foo")
with self.assertRaises(ValueError):
@input
def bar():
pass
class Inputs:
tree = Input("Tree", TreeModel)
class Inputs:
data = Input("Data", Table)
class Inputs:
# Had different input names before merging from
# Classification/Regression tree variants
tree = Input("Tree", TreeModel, replaces=["Classification Tree", "Regression Tree"])
class Inputs(_OWGeneSets.OWGeneSets.Inputs):
reference = Input("Reference Genes", Table)
class Inputs:
data = Input("数据(Data)", Table, replaces=['Data'])
reference = Input("参考(Reference)", Table, replaces=['Reference'])
class Inputs:
data_table = Input('Data', Table)
custom_sets = Input('Custom Gene Sets', Table)
class Inputs:
data = Input("Epoch data", mne.Epochs)
class Inputs:
data = Input("数据(Data)", Table, replaces=["Data"])
preprocessor = Input("预处理器(Preprocessor)", Preprocess, replaces=["Preprocessor"])
class Inputs:
random_forest = Input("Random Forest",
RandomForestModel,
replaces=["Random forest"])
class Inputs:
graph = Input("Graph", nx.Graph)
class Inputs:
markers = Input("EEG Markers", EEGMarker, multiple=True)
data = Input("Epoch data", mne.Epochs)
class Inputs:
data = Input("数据(Data)", Table, replaces=['Data'])
class Inputs:
data = Input('数据(Data)', Table, default=True, replaces=['Data'])
class Inputs:
data = Input("数据", Table)
class Inputs:
corpus = Input("Corpus", Corpus)
class Inputs:
data = Input("Data", Table)
reference = Input("Reference", Table)
class Inputs:
genes = Input("Genes", Table)
class Inputs:
tree = Input("树(Tree)", TreeModel, replaces=['Tree'])
class Inputs:
data = Input("Data", Table, default=True)
class Inputs:
data_table = Input("Data", Table)
class Inputs:
network = Input("Network", network.Graph)
class Inputs:
random_forest = Input("随机森林(Random forest)",
RandomForestModel,
replaces=['Data'])
class Inputs:
data = Input("Data", Table, default=True)
genes = Input("Genes", Table)
class Inputs:
data = Input("Data", Table)
preprocessor = Input("Preprocessor", Preprocess)
class Inputs:
data = Input('Data', ImageDataBunch, default=True)
class Inputs:
data = Input('Data', Table, default=True)
class Inputs:
random_forest = Input("Random forest", RandomForestModel)
