Source code for spynnaker.pyNN.models.neural_projections.delayed_application_edge
# Copyright (c) 2016 The University of Manchester
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import annotations
from collections.abc import Iterable
from typing import List, Optional, Union, cast, TYPE_CHECKING
from spinn_utilities.overrides import overrides
from pacman.model.graphs.application import ApplicationEdge
if TYPE_CHECKING:
from spynnaker.pyNN.models.neuron import AbstractPopulationVertex
from spynnaker.pyNN.models.utility_models.delays import (
DelayExtensionVertex)
from spynnaker.pyNN.models.neural_projections import (
SynapseInformation, ProjectionApplicationEdge)
class DelayedApplicationEdge(ApplicationEdge):
"""
The Edge from a delay vertex to a Population vertex.
"""
__slots__ = (
"__synapse_information",
"__undelayed_edge")
def __init__(
self, pre_vertex: DelayExtensionVertex,
post_vertex: AbstractPopulationVertex,
synapse_information: Union[
SynapseInformation, Iterable[SynapseInformation]],
undelayed_edge: ProjectionApplicationEdge,
label: Optional[str] = None):
"""
:param DelayExtensionVertex pre_vertex:
The delay extension at the start of the edge
:param AbstractPopulationVertex post_vertex:
The target of the synapses
:param synapse_information:
The synapse information on this edge
:type synapse_information:
SynapseInformation or iterable(SynapseInformation)
:param ProjectionApplicationEdge undelayed_edge:
The edge that is used for projections without extended delays
:param str label:
The edge label
"""
super().__init__(pre_vertex, post_vertex, label=label)
if isinstance(synapse_information, Iterable):
self.__synapse_information = list(synapse_information)
else:
self.__synapse_information = [synapse_information]
self.__undelayed_edge = undelayed_edge
@property
@overrides(ApplicationEdge.pre_vertex)
def pre_vertex(self) -> DelayExtensionVertex:
return cast('DelayExtensionVertex', super().pre_vertex)
@property
@overrides(ApplicationEdge.post_vertex)
def post_vertex(self) -> AbstractPopulationVertex:
return cast('AbstractPopulationVertex', super().post_vertex)
@property
def synapse_information(self) -> List[SynapseInformation]:
"""
:rtype: list(SynapseInformation)
"""
return self.__synapse_information
@property
def undelayed_edge(self) -> ProjectionApplicationEdge:
"""
The edge for projections without extended delays.
:rtype: ProjectionApplicationEdge
"""
return self.__undelayed_edge