Source code for spynnaker.pyNN.models.abstract_models.abstract_max_spikes

# Copyright (c) 2017-2019 The University of Manchester
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# 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
# 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 <>.

from spinn_utilities.abstract_base import AbstractBase, abstractmethod
from spinn_utilities.require_subclass import require_subclass
from pacman.model.graphs.machine import MachineVertex

[docs]@require_subclass(MachineVertex) class AbstractMaxSpikes(object, metaclass=AbstractBase): """ Indicates a class (a \ :py:class:`~pacman.model.graphs.machine.MachineVertex`) \ that can describe the maximum rate that it sends spikes. The :py:class:`~.SynapticManager` assumes that all machine vertexes share the same synapse_information will have the same rates. """ __slots__ = ()
[docs] @abstractmethod def max_spikes_per_ts(self): """ Get maximum expected number of spikes per timestep :rtype: int """
[docs] @abstractmethod def max_spikes_per_second(self): """ Get maximum expected number of spikes per second :param str variable: the variable to find units from :return: the units as a string. :rtype: str """