Source code for spynnaker8.models.connectors.array_connector

# Copyright (c) 2017-2021 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 spynnaker.pyNN.models.neural_projections.connectors import (
    ArrayConnector as _BaseClass)
from spynnaker.pyNN.utilities.utility_calls import moved_in_v6

[docs]class ArrayConnector(_BaseClass): """ Make connections using an array of integers based on the IDs\ of the neurons in the pre- and post-populations. .. deprecated:: 6.0 Use :py:class:`spynnaker.pyNN.models.neural_projections.connectors.ArrayConnector` instead. """ __slots__ = [] def __init__( self, array, safe=True, callback=None, verbose=False): """ :param array: an array of integers :type array: ~numpy.ndarray(2, ~numpy.uint8) :param bool safe: Whether to check that weights and delays have valid values. If False, this check is skipped. :param callable callback: if given, a callable that display a progress bar on the terminal. .. note:: Not supported by sPyNNaker. :param bool verbose: Whether to output extra information about the connectivity to a CSV file """ moved_in_v6("spynnaker8.models.connectors.ArrayConnector", "spynnaker.pyNN.models.neural_projections.connectors" ".ArrayConnector") super(ArrayConnector, self).__init__( array=array, safe=safe, callback=callback, verbose=verbose)