Source code for spynnaker8.models.connectors.fixed_number_post_connector

# Copyright (c) 2017-2021 The University of Manchester
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from spynnaker.pyNN.models.neural_projections.connectors import (
    FixedNumberPostConnector as _BaseClass)
from spynnaker.pyNN.utilities.utility_calls import moved_in_v6


[docs]class FixedNumberPostConnector(_BaseClass): """ PyNN connector that puts a fixed number of connections on each of the\ post neurons. .. deprecated:: 6.0 Use :py:class:`spynnaker.pyNN.models.neural_projections.connectors.FixedNumberPostConnector` instead. """ __slots__ = [] def __init__( self, n, allow_self_connections=True, safe=True, verbose=False, with_replacement=False, rng=None, callback=None): """ :param int n: number of random post-synaptic neurons connected to pre-neurons :param bool allow_self_connections: if the connector is used to connect a Population to itself, this flag determines whether a neuron is allowed to connect to itself, or only to other neurons in the Population. :param bool safe: Whether to check that weights and delays have valid values; if False, this check is skipped. :param bool verbose: Whether to output extra information about the connectivity to a CSV file :param bool with_replacement: if False, once a connection is made, it can't be made again; if True, multiple connections between the same pair of neurons are allowed :param rng: random number generator :type rng: ~pyNN.random.NumpyRNG or None :param callable callback: if given, a callable that display a progress bar on the terminal. .. note:: Not supported by sPyNNaker. """ # pylint: disable=too-many-arguments moved_in_v6("spynnaker8.models.connectors" ".FixedNumberPostConnector", "spynnaker.pyNN.models.neural_projections.connectors" ".FixedNumberPostConnector") super(FixedNumberPostConnector, self).__init__( n=n, allow_self_connections=allow_self_connections, with_replacement=with_replacement, safe=safe, verbose=verbose, rng=rng)