# Source code for spynnaker.pyNN.models.neural_projections.delay_afferent_application_edge

# Copyright (c) 2017-2019 The University of Manchester
#
# This program is free software: you can redistribute it and/or modify
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.

from spinn_utilities.overrides import overrides
from pacman.model.graphs.application import ApplicationEdge
from pacman.model.partitioner_interfaces import AbstractSlicesConnect

[docs]class DelayAfferentApplicationEdge(ApplicationEdge, AbstractSlicesConnect):
__slots__ = ()

def __init__(self, pre_vertex, delay_vertex, label=None):
"""
:param AbstractPopulationVertex pre_vertex:
:param DelayExtensionVertex delay_vertex:
:param str label:
"""
super().__init__(pre_vertex, delay_vertex, label=label)

[docs]    @overrides(AbstractSlicesConnect.could_connect)
def could_connect(self, pre_slice, post_slice):
return ((pre_slice.lo_atom == post_slice.lo_atom) and
(post_slice.hi_atom == pre_slice.hi_atom))