Source code for spynnaker8.models.connectors.one_to_one_connector

# 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 pyNN.random import RandomDistribution
from pyNN.connectors import OneToOneConnector as PyNNOneToOneConnector
from spynnaker.pyNN.models.neural_projections.connectors import (
    OneToOneConnector as

[docs]class OneToOneConnector(CommonOneToOneConnector, PyNNOneToOneConnector): """ Where the pre- and postsynaptic populations have the same size, connect\ cell *i* in the presynaptic population to cell *i* in the postsynaptic\ population for all *i*. """ __slots__ = [] def __init__(self, safe=True, callback=None): """ :param bool safe: if True, check that weights and delays have valid values. If False, this check is skipped. :param callable callback: a function that will be called with the fractional progress of the connection routine. An example would be `progress_bar.set_level`. .. note:: Not supported by sPyNNaker. """ CommonOneToOneConnector.__init__( self, safe=safe, random_number_class=RandomDistribution) PyNNOneToOneConnector.__init__(self, safe=safe, callback=callback)