Fix one to one performance

spynnaker/pyNN/models/neural_projections/connectors/one_to_one_connector.py

@@ -200,14 +200,8 @@ def get_connected_vertices(
             s_info.partition_id)
 
         # If doing a view, we must be single dimensional, so use old method
-        if s_info.prepop_is_view or s_info.postpop_is_view:
-
-            # Check again here in case the rules change elsewhere
-            if (len(s_info.pre_vertex.atoms_shape) > 1 or
-                    len(s_info.post_vertex.atoms_shape) > 1):
-                raise ConfigurationException(
-                    "The OneToOneConnector does not support PopulationView "
-                    "connections between vertices with more than 1 dimension")
+        if (len(s_info.pre_vertex.atoms_shape) == 1 and
+                len(s_info.post_vertex.atoms_shape) == 1):
 
             pre_lo = 0
             pre_hi = source_vertex.n_atoms - 1
@@ -225,6 +219,13 @@ def get_connected_vertices(
                           s_vert, pre_lo, pre_hi, t_vert, post_lo, post_hi)])
                     for t_vert in tgt_vtxs]
 
+        if s_info.prepop_is_view or s_info.postpop_is_view:
+
+            # Check again here in case the rules change elsewhere
+            raise ConfigurationException(
+                "The OneToOneConnector does not support PopulationView "
+                "connections between vertices with more than 1 dimension")
+
         # Check for cross over of pre- and post- rasters, as that is how the
         # connector works
         return [(t_vert,

unittests/model_tests/neuron/test_synaptic_manager.py

@@ -83,7 +83,7 @@ def write_memory(
         return (-1, -1)
 
     @overrides(Transceiver.get_region_base_address)
-    def get_region_base_address(self, x: int, y: int, p: int):
+    def get_region_base_address(self, x: int, y: int, p: int) -> int:
         return 0
 
     @overrides(MockableTransceiver.read_memory)