Source code for spynnaker.pyNN.models.neuron.synapse_dynamics.abstract_static_synapse_dynamics

# 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 .abstract_synapse_dynamics import AbstractSynapseDynamics

[docs]class AbstractStaticSynapseDynamics( AbstractSynapseDynamics, metaclass=AbstractBase): """ Dynamics which don't change over time. """ # pylint: disable=too-many-arguments __slots__ = ()
[docs] @abstractmethod def get_n_words_for_static_connections(self, n_connections): """ Get the number of 32-bit words for `n_connections` in a single row. :param int n_connections: :rtype: int """
[docs] @abstractmethod def get_static_synaptic_data( self, connections, connection_row_indices, n_rows, post_vertex_slice, n_synapse_types, max_n_synapses): """ Get the fixed-fixed data for each row, and lengths for the\ fixed-fixed parts of each row. Data is returned as an array made up of an array of 32-bit words for\ each row for the fixed-fixed region. The row into which connection\ should go is given by `connection_row_indices`, and the total number\ of rows is given by `n_rows`. Lengths are returned as an array made up of an integer for each row,\ for the fixed-fixed region. :param ~numpy.ndarray connections: The connections to get data for :param ~numpy.ndarray connection_row_indices: The row into which each connection should go :param int n_rows: The number of rows to write :param ~pacman.model.graphs.common.Slice post_vertex_slice: The slice of the post vertex to generate for :param int n_synapse_types: The number of synapse types :param int max_n_synapses: The maximum number of synapses to generate :return: (ff_data, ff_size) :rtype: tuple(list(~numpy.ndarray), ~numpy.ndarray) """
[docs] @abstractmethod def get_n_static_words_per_row(self, ff_size): """ Get the number of bytes to be read per row for the static data\ given the size that was written to each row. :param ~numpy.ndarray ff_size: :rtype: ~numpy.ndarray """
[docs] @abstractmethod def get_n_synapses_in_rows(self, ff_size): """ Get the number of synapses in the rows with sizes `ff_size`. :param ~numpy.ndarray ff_size: :rtype: ~numpy.ndarray """
[docs] @abstractmethod def read_static_synaptic_data( self, post_vertex_slice, n_synapse_types, ff_size, ff_data): """ Read the connections from the words of data in `ff_data`. :param ~pacman.model.graphs.common.Slice post_vertex_slice: :param int n_synapse_types: :param ~numpy.ndarray ff_size: :param list(~numpy.ndarray) ff_data: """