merged in master

spynnaker/pyNN/models/spike_source/spike_source_poisson_machine_vertex.py

@@ -195,13 +195,6 @@ class POISSON_SPIKE_SOURCE_REGIONS(IntEnum):
         0: "TIMER",
         1: "PROB_FUNC"}
 
-    class EXTRA_PROVENANCE_DATA_ENTRIES(IntEnum):
-        """
-        Entries for the provenance data generated by standard neuron models.
-        """
-        #: The number of pre-synaptic events
-        TDMA_MISSED_SLOTS = 0
-
     # The maximum timestep - this is the maximum value of a uint32
     _MAX_TIMESTEP = 0xFFFFFFFF
 
@@ -242,7 +235,7 @@ def _provenance_region_id(self):
     @property
     @overrides(ProvidesProvenanceDataFromMachineImpl._n_additional_data_items)
     def _n_additional_data_items(self):
-        return 1
+        return 0
 
     @overrides(AbstractReceiveBuffersToHost.get_recorded_region_ids)
     def get_recorded_region_ids(self):
@@ -261,15 +254,6 @@ def get_profile_data(self, placement):
             self.POISSON_SPIKE_SOURCE_REGIONS.PROFILER_REGION,
             self.PROFILE_TAG_LABELS, placement)
 
-    @overrides(ProvidesProvenanceDataFromMachineImpl.
-               parse_extra_provenance_items)
-    def parse_extra_provenance_items(self, label, x, y, p, provenance_data):
-        n_times_tdma_fell_behind = provenance_data[
-            self.EXTRA_PROVENANCE_DATA_ENTRIES.TDMA_MISSED_SLOTS]
-
-        yield self._app_vertex.get_tdma_provenance_item(
-            x, y, p, label, n_times_tdma_fell_behind)
-
     @overrides(AbstractHasAssociatedBinary.get_binary_file_name)
     def get_binary_file_name(self):
         return "spike_source_poisson.aplx"