• composition.py

  mods to docstring

• test_composition.py
  - test_remove_node(): uncomment conditions

psyneulink/core/compositions/composition.py

@@ -333,12 +333,13 @@
 ^^^^^^^^^^^^
 
 `BIAS` `NodeRole` can be used to implement BIAS Nodes, which add a bias (constant value) to the input of another
-Node, that can also be modified by `learning <Composition_Learning>`. A bias Node is implemented by adding a
-`ProcessingMechanism` to the Composition and requiring it to have the `BIAS` `NodeRole`. The ProcessingMechanims
-cannot have any afferent Projections, and should project to the `InputPort` containing the values to be biased. If
-the bias is to be learned, the `learnable <MappingProjection.learnable>` attribute of the MappingProjeciton
-should be set to True. The value of the bias, and how it is applied to the values being biased are specified as
-described below:
+Node, that can also be modified by `learning <Composition_Learning>`. A BIAS Node is implemented by adding a
+`ProcessingMechanism` to the Composition and requiring it to have the `BIAS` `NodeRole`. This can be done using
+any of the methods described `above <Composition_Nodes>` for assigning `NodeRoles <NodeRole>` tp a Node. The
+ProcessingMechanism cannot have any afferent Projections, and should project to the `InputPort` of the Node with
+the values to be biased. If the bias is to be learned, the `learnable <MappingProjection.learnable>` attribute of
+the MappingProjeciton should be set to True. The value of the bias, and how it is applied to the values being biased
+are specified as described below:
 
     *Single bias value*. To apply a single scalar bias value to all elements of the array being biased, the
     `default_variable <Component_Variable>` of the BIAS Node should be specified as a scalar value, and the `matrix

tests/composition/test_composition.py

@@ -8139,11 +8139,11 @@ def test_danglingControlledMech(self):
     @pytest.mark.parametrize(
         'removed_nodes, expected_dependencies',
         [
-            # (['A'], {'B': set(), 'C': set('B'), 'D': set('C'), 'E': set('C')}),
-            # (['C'], {'A': set(), 'B': set(), 'D': set(), 'E': set()}),
-            # (['E'], {'A': set(), 'B': set(), 'C': {'A', 'B'}, 'D': set('C')}),
-            # (['A', 'B'], {'C': set(), 'D': set('C'), 'E': set('C')}),
-            # (['D', 'E'], {'A': set(), 'B': set(), 'C': {'A', 'B'}}),
+            (['A'], {'B': set(), 'C': set('B'), 'D': set('C'), 'E': set('C')}),
+            (['C'], {'A': set(), 'B': set(), 'D': set(), 'E': set()}),
+            (['E'], {'A': set(), 'B': set(), 'C': {'A', 'B'}, 'D': set('C')}),
+            (['A', 'B'], {'C': set(), 'D': set('C'), 'E': set('C')}),
+            (['D', 'E'], {'A': set(), 'B': set(), 'C': {'A', 'B'}}),
             (['A', 'B', 'C', 'D', 'E'], {}),
         ]
     )