Edit Domain: Add option to remove compute_value

Orange/widgets/data/oweditdomain.py

@@ -95,6 +95,7 @@ class Categorical(
         ("name", str),
         ("categories", Tuple[str, ...]),
         ("annotations", AnnotationsType),
+        ("linked", bool)
     ])): pass
 
 
@@ -104,20 +105,23 @@ class Real(
         # a precision (int, and a format specifier('f', 'g', or '')
         ("format", Tuple[int, str]),
         ("annotations", AnnotationsType),
+        ("linked", bool)
     ])): pass
 
 
 class String(
     _DataType, NamedTuple("String", [
         ("name", str),
         ("annotations", AnnotationsType),
+        ("linked", bool)
     ])): pass
 
 
 class Time(
     _DataType, NamedTuple("Time", [
         ("name", str),
         ("annotations", AnnotationsType),
+        ("linked", bool)
     ])): pass
 
 
@@ -175,10 +179,14 @@ def __call__(self, var):
         return var._replace(annotations=self.annotations)
 
 
-Transform = Union[Rename, CategoriesMapping, Annotate]
-TransformTypes = (Rename, CategoriesMapping, Annotate)
+class Unlink(_DataType, namedtuple("Unlink", [])):
+    """Unlink variable from its source, that is, remove compute_value"""
 
-CategoricalTransformTypes = (CategoriesMapping, )
+
+Transform = Union[Rename, CategoriesMapping, Annotate, Unlink]
+TransformTypes = (Rename, CategoriesMapping, Annotate, Unlink)
+
+CategoricalTransformTypes = (CategoriesMapping, Unlink)
 
 
 # Reinterpret vector transformations.
@@ -221,7 +229,7 @@ def __call__(self, vector: DataVector) -> StringVector:
         if isinstance(var, String):
             return vector
         return StringVector(
-            String(var.name, var.annotations),
+            String(var.name, var.annotations, False),
             lambda: as_string(vector.data()),
         )
 
@@ -241,19 +249,19 @@ def data() -> MArray:
                 a = categorical_to_string_vector(d, var.values)
                 return MArray(as_float_or_nan(a, where=a.mask), mask=a.mask)
             return RealVector(
-                Real(var.name, (6, 'g'), var.annotations), data
+                Real(var.name, (6, 'g'), var.annotations, var.linked), data
             )
         elif isinstance(var, Time):
             return RealVector(
-                Real(var.name, (6, 'g'), var.annotations),
+                Real(var.name, (6, 'g'), var.annotations, var.linked),
                 lambda: vector.data().astype(float)
             )
         elif isinstance(var, String):
             def data():
                 s = vector.data()
                 return MArray(as_float_or_nan(s, where=s.mask), mask=s.mask)
             return RealVector(
-                Real(var.name, (6, "g"), var.annotations), data
+                Real(var.name, (6, "g"), var.annotations, var.linked), data
             )
         raise AssertionError
 
@@ -266,22 +274,10 @@ def __call__(self, vector: DataVector) -> CategoricalVector:
         var, _ = vector
         if isinstance(var, Categorical):
             return vector
-        if isinstance(var, Real):
-            data, values = categorical_from_vector(vector.data())
-            return CategoricalVector(
-                Categorical(var.name, values, var.annotations),
-                lambda: data
-            )
-        elif isinstance(var, Time):
+        if isinstance(var, (Real, Time, String)):
             data, values = categorical_from_vector(vector.data())
             return CategoricalVector(
-                Categorical(var.name, values, var.annotations),
-                lambda: data
-            )
-        elif isinstance(var, String):
-            data, values = categorical_from_vector(vector.data())
-            return CategoricalVector(
-                Categorical(var.name, values, var.annotations),
+                Categorical(var.name, values, var.annotations, var.linked),
                 lambda: data
             )
         raise AssertionError
@@ -295,7 +291,7 @@ def __call__(self, vector: DataVector) -> TimeVector:
             return vector
         elif isinstance(var, Real):
             return TimeVector(
-                Time(var.name, var.annotations),
+                Time(var.name, var.annotations, var.linked),
                 lambda: vector.data().astype("M8[us]")
             )
         elif isinstance(var, Categorical):
@@ -305,15 +301,15 @@ def data():
                 dt = pd.to_datetime(s, errors="coerce").values.astype("M8[us]")
                 return MArray(dt, mask=d.mask)
             return TimeVector(
-                Time(var.name, var.annotations), data
+                Time(var.name, var.annotations, var.linked), data
             )
         elif isinstance(var, String):
             def data():
                 s = vector.data()
                 dt = pd.to_datetime(s, errors="coerce").values.astype("M8[us]")
                 return MArray(dt, mask=s.mask)
             return TimeVector(
-                Time(var.name, var.annotations), data
+                Time(var.name, var.annotations, var.linked), data
             )
         raise AssertionError
 
@@ -532,6 +528,17 @@ def __init__(self, parent=None, **kwargs):
         )
         form.addRow("Name:", self.name_edit)
 
+        self.unlink_var_cb = QCheckBox(
+            "Unlink variable from its source variable", self,
+            toolTip="Make Orange forget that the variable is derived from "
+                    "another.\n"
+                    "Use this for instance when you want to consider variables "
+                    "with the same name but from different sources as the same "
+                    "variable."
+        )
+        self.unlink_var_cb.toggled.connect(self._set_unlink)
+        form.addRow("", self.unlink_var_cb)
+
         vlayout = QVBoxLayout(margin=0, spacing=1)
         self.labels_edit = view = QTreeView(
             objectName="annotation-pairs-edit",
@@ -616,17 +623,23 @@ def set_data(self, var, transform=()):
         if var is not None:
             name = var.name
             annotations = var.annotations
+            unlink = False
             for tr in transform:
                 if isinstance(tr, Rename):
                     name = tr.name
                 elif isinstance(tr, Annotate):
                     annotations = tr.annotations
+                elif isinstance(tr, Unlink):
+                    unlink = True
             self.name_edit.setText(name)
             self.labels_model.set_dict(dict(annotations))
             self.add_label_action.actionGroup().setEnabled(True)
+            self.unlink_var_cb.setChecked(unlink)
         else:
             self.add_label_action.actionGroup().setEnabled(False)
 
+        self.unlink_var_cb.setDisabled(var is None or not var.linked)
+
     def get_data(self):
         """Retrieve the modified variable.
         """
@@ -639,6 +652,8 @@ def get_data(self):
             tr.append(Rename(name))
         if self.var.annotations != labels:
             tr.append(Annotate(labels))
+        if self.var.linked and self.unlink_var_cb.isChecked():
+            tr.append(Unlink())
         return self.var, tr
 
     def clear(self):
@@ -647,6 +662,7 @@ def clear(self):
         self.var = None
         self.name_edit.setText("")
         self.labels_model.setRowCount(0)
+        self.unlink_var_cb.setChecked(False)
 
     @Slot()
     def on_name_changed(self):
@@ -661,6 +677,10 @@ def on_label_selection_changed(self):
         selected = self.labels_edit.selectionModel().selectedRows()
         self.remove_label_action.setEnabled(bool(len(selected)))
 
+    def _set_unlink(self, unlink):
+        self.unlink_var_cb.setChecked(unlink)
+        self.variable_changed.emit()
+
 
 class GroupItemsDialog(QDialog):
     """
@@ -1157,7 +1177,7 @@ def __init__(self, *args, **kwargs):
         hlayout.addStretch(10)
         vlayout.addLayout(hlayout)
 
-        form.insertRow(1, "Values:", vlayout)
+        form.insertRow(2, "Values:", vlayout)
 
         QWidget.setTabOrder(self.name_edit, self.values_edit)
         QWidget.setTabOrder(self.values_edit, button1)
@@ -2030,23 +2050,32 @@ def state(i):
                     model.data(midx, TransformRole))
 
         state = [state(i) for i in range(model.rowCount())]
-        if all(tr is None or not tr for _, tr in state) \
-                and self.output_table_name in ("", data.name):
+        input_vars = data.domain.variables + data.domain.metas
+        if self.output_table_name in ("", data.name) \
+                and not any(requires_transform(var, trs)
+                            for var, (_, trs) in zip(input_vars, state)):
             self.Outputs.data.send(data)
             self.info.set_output_summary(len(data),
                                          format_summary_details(data))
             return
 
-        output_vars = []
-        input_vars = data.domain.variables + data.domain.metas
         assert all(v_.vtype.name == v.name
                    for v, (v_, _) in zip(input_vars, state))
+        output_vars = []
+        unlinked_vars = []
+        unlink_domain = False
         for (_, tr), v in zip(state, input_vars):
             if tr:
                 var = apply_transform(v, data, tr)
+                if requires_unlink(v, tr):
+                    unlinked_var = var.copy(compute_value=None)
+                    unlink_domain = True
+                else:
+                    unlinked_var = var
             else:
-                var = v
+                unlinked_var = var = v
             output_vars.append(var)
+            unlinked_vars.append(unlinked_var)
 
         if len(output_vars) != len({v.name for v in output_vars}):
             self.Error.duplicate_var_name()
@@ -2058,15 +2087,23 @@ def state(i):
         nx = len(domain.attributes)
         ny = len(domain.class_vars)
 
-        Xs = output_vars[:nx]
-        Ys = output_vars[nx: nx + ny]
-        Ms = output_vars[nx + ny:]
-        # Move non primitive Xs, Ys to metas (if they were changed)
-        Ms += [v for v in Xs + Ys if not v.is_primitive()]
-        Xs = [v for v in Xs if v.is_primitive()]
-        Ys = [v for v in Ys if v.is_primitive()]
-        domain = Orange.data.Domain(Xs, Ys, Ms)
+        def construct_domain(vars_list):
+            # Move non primitive Xs, Ys to metas (if they were changed)
+            Xs = [v for v in vars_list[:nx] if v.is_primitive()]
+            Ys = [v for v in vars_list[nx: nx + ny] if v.is_primitive()]
+            Ms = vars_list[nx + ny:] + \
+                 [v for v in vars_list[:nx + ny] if not  v.is_primitive()]
+            return Orange.data.Domain(Xs, Ys, Ms)
+
+        domain = construct_domain(output_vars)
         new_data = data.transform(domain)
+        if unlink_domain:
+            unlinked_domain = construct_domain(unlinked_vars)
+            new_data = new_data.from_numpy(
+                unlinked_domain,
+                new_data.X, new_data.Y, new_data.metas, new_data.W,
+                new_data.attributes, new_data.ids
+            )
         if self.output_table_name:
             new_data.name = self.output_table_name
         self.Outputs.data.send(new_data)
@@ -2236,7 +2273,7 @@ def i(text):
     def text(text):
         return "<span>{}</span>".format(escape(text))
     assert trs
-    rename = annotate = catmap = None
+    rename = annotate = catmap = unlink = None
     reinterpret = None
 
     for tr in trs:
@@ -2246,6 +2283,8 @@ def text(text):
             annotate = tr
         elif isinstance(tr, CategoriesMapping):
             catmap = tr
+        elif isinstance(tr, Unlink):
+            unlink = tr
         elif isinstance(tr, ReinterpretTransformTypes):
             reinterpret = tr
 
@@ -2258,6 +2297,8 @@ def text(text):
         header = "{} → {}".format(var.name, rename.name)
     else:
         header = var.name
+    if unlink is not None:
+        header += "(unlinked from source)"
 
     values_section = None
     if catmap is not None:
@@ -2323,14 +2364,15 @@ def abstract(var):
         (key, str(value))
         for key, value in var.attributes.items()
     ))
+    linked = var.compute_value is not None
     if isinstance(var, Orange.data.DiscreteVariable):
-        return Categorical(var.name, tuple(var.values), annotations)
+        return Categorical(var.name, tuple(var.values), annotations, linked)
     elif isinstance(var, Orange.data.TimeVariable):
-        return Time(var.name, annotations)
+        return Time(var.name, annotations, linked)
     elif isinstance(var, Orange.data.ContinuousVariable):
-        return Real(var.name, (var.number_of_decimals, 'f'), annotations)
+        return Real(var.name, (var.number_of_decimals, 'f'), annotations, linked)
     elif isinstance(var, Orange.data.StringVariable):
-        return String(var.name, annotations)
+        return String(var.name, annotations, linked)
     else:
         raise TypeError
 
@@ -2359,6 +2401,17 @@ def apply_transform(var, table, trs):
         return var
 
 
+def requires_unlink(var: Orange.data.Variable, trs: List[Transform]) -> bool:
+    return trs is not None \
+           and any(isinstance(tr, Unlink) for tr in trs) \
+           and (var.compute_value is not None or len(trs) > 1)
+
+
+def requires_transform(var: Orange.data.Variable, trs: List[Transform]) -> bool:
+    return trs and not all (isinstance(tr, Unlink) for tr in trs) \
+        or requires_unlink(var, trs)
+
+
 @singledispatch
 def apply_transform_var(var, trs):
     # type: (Orange.data.Variable, List[Transform]) -> Orange.data.Variable