UsesDefaults

spynnaker/pyNN/external_devices_models/munich_spinnaker_link_motor_device.py

@@ -21,12 +21,12 @@
     AbstractOneAppOneMachineVertex)
 from spinn_front_end_common.abstract_models import (
     AbstractVertexWithEdgeToDependentVertices)
-from spynnaker.pyNN.models.defaults import defaults
+from spynnaker.pyNN.models.defaults import defaults, UsesDefaults
 from spynnaker.pyNN.models.common import PopulationApplicationVertex
 from .machine_munich_motor_device import MachineMunichMotorDevice
 
 
-class _MunichMotorDevice(ApplicationSpiNNakerLinkVertex):
+class _MunichMotorDevice(ApplicationSpiNNakerLinkVertex, UsesDefaults):
     __slots__ = ()
 
     def __init__(self, spinnaker_link_id, board_address=None):

spynnaker/pyNN/models/defaults.py

@@ -20,11 +20,22 @@
 import logging
 from types import MappingProxyType
 from typing import Any, Callable, FrozenSet, Iterable, List, Mapping, Optional
+from spinn_utilities.abstract_base import abstractmethod
 from spinn_utilities.log import FormatAdapter
 
 logger = FormatAdapter(logging.getLogger(__name__))
 
 
+class UsesDefaults(object):
+    """" foo bar"""
+
+    @property
+    @abstractmethod
+    def default_parameters(self):
+        """
+        Will be filled in with the parameters in the init bu @defaults
+        """
+
 def _check_args(
         args_to_find: FrozenSet[str], default_args: List[str],
         init_method: Callable):

spynnaker/pyNN/models/neuron/builds/eif_cond_alpha_isfa_ista.py

@@ -13,12 +13,13 @@
 # limitations under the License.
 
 from spynnaker.pyNN.exceptions import SpynnakerException
-from spynnaker.pyNN.models.defaults import defaults, default_initial_values
+from spynnaker.pyNN.models.defaults import (
+    defaults, default_initial_values, UsesDefaults)
 
 
 # pylint: disable=wrong-spelling-in-docstring
 @defaults
-class EIFConductanceAlphaPopulation(object):
+class EIFConductanceAlphaPopulation(UsesDefaults):
     """
     Exponential integrate and fire neuron with spike triggered and
     sub-threshold adaptation currents (isfa, ista reps.)

spynnaker/pyNN/models/neuron/builds/hh_cond_exp.py

@@ -13,11 +13,12 @@
 # limitations under the License.
 
 from spynnaker.pyNN.exceptions import SpynnakerException
-from spynnaker.pyNN.models.defaults import defaults, default_initial_values
+from spynnaker.pyNN.models.defaults import (
+    defaults, default_initial_values, UsesDefaults)
 
 
 @defaults
-class HHCondExp(object):
+class HHCondExp(UsesDefaults):
     """
     Single-compartment Hodgkin-Huxley model with exponentially decaying
     current input.

spynnaker/pyNN/models/neuron/builds/if_cond_alpha.py

@@ -13,11 +13,12 @@
 # limitations under the License.
 
 from spynnaker.pyNN.exceptions import SpynnakerException
-from spynnaker.pyNN.models.defaults import defaults, default_initial_values
+from spynnaker.pyNN.models.defaults import (
+    defaults, default_initial_values, UsesDefaults)
 
 
 @defaults
-class IFCondAlpha(object):
+class IFCondAlpha(UsesDefaults):
     """
     Leaky integrate and fire neuron with an alpha-shaped current input.
 

spynnaker/pyNN/models/neuron/builds/if_facets_hardware1.py

@@ -13,11 +13,12 @@
 # limitations under the License.
 
 from spynnaker.pyNN.exceptions import SpynnakerException
-from spynnaker.pyNN.models.defaults import defaults, default_initial_values
+from spynnaker.pyNN.models.defaults import (
+    defaults, default_initial_values, UsesDefaults)
 
 
 @defaults
-class IFFacetsConductancePopulation(object):
+class IFFacetsConductancePopulation(UsesDefaults):
     """
     Leaky integrate and fire neuron with conductance-based synapses and
     fixed threshold as it is resembled by the FACETS Hardware Stage 1.

unittests/model_tests/neuron/test_abstract_neuron_impl.py

@@ -19,12 +19,13 @@
 from spynnaker.pyNN.models.abstract_pynn_model import AbstractPyNNModel
 from spynnaker.pyNN.models.neuron.abstract_pynn_neuron_model import (
     AbstractPyNNNeuronModel)
-from spynnaker.pyNN.models.defaults import default_initial_values, defaults
+from spynnaker.pyNN.models.defaults import (
+    default_initial_values, defaults, UsesDefaults)
 from spynnaker.pyNN.exceptions import SpynnakerException
 
 
 @defaults
-class _MyPyNNModelImpl(AbstractPyNNModel):
+class _MyPyNNModelImpl(AbstractPyNNModel, UsesDefaults):
 
     default_population_parameters = {}
 

unittests/model_tests/neuron/test_defaults.py

@@ -15,7 +15,7 @@
 from spinn_utilities.abstract_base import AbstractBase, abstractmethod
 from spynnaker.pyNN.config_setup import unittest_setup
 from spynnaker.pyNN.models.defaults import (
-    defaults, default_parameters, default_initial_values)
+    defaults, default_parameters, default_initial_values, UsesDefaults)
 from testfixtures import LogCapture  # type: ignore[import]
 import re
 # pylint: disable=no-member
@@ -25,7 +25,7 @@ def test_nothing():
     unittest_setup()
 
     @defaults
-    class _AClass(object):
+    class _AClass(UsesDefaults):
         def __init__(self, param_1=1, param_2=2, param_3=3):
             pass
     assert (_AClass.default_parameters == {
@@ -37,7 +37,7 @@ def test_parameters():
     unittest_setup()
 
     @defaults
-    class _AClass(object):
+    class _AClass(UsesDefaults):
 
         @default_parameters({"param_1"})
         def __init__(self, param_1=1, param_2=2, param_3=3):
@@ -50,7 +50,7 @@ def test_state_variables():
     unittest_setup()
 
     @defaults
-    class _AClass(object):
+    class _AClass(UsesDefaults):
 
         @default_initial_values({"param_1"})
         def __init__(self, param_1=1, param_2=2, param_3=3):
@@ -63,15 +63,15 @@ def test_both():
     unittest_setup()
 
     @defaults
-    class _AClass(object):
+    class _AClass(UsesDefaults):
 
         @default_parameters({"param_1"})
         @default_initial_values({"param_2"})
         def __init__(self, param_1=1, param_2=2, param_3=3):
             pass
 
     @defaults
-    class _AnotherClass(object):
+    class _AnotherClass(UsesDefaults):
 
         @default_initial_values({"param_1"})
         @default_parameters({"param_2"})
@@ -101,7 +101,7 @@ def default_initial_values():
             pass
 
     @defaults
-    class _AClass(BaseClass):
+    class _AClass(BaseClass, UsesDefaults):
 
         default_parameters = None
         default_initial_values = None