def __init__(self,
allow_self_connections=True,
safe=True,
verbose=None,
callbacks=None):
"""
:param 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.
:type allow_self_connections: bool
:param safe: if True, check that weights and delays have valid\
values. If False, this check is skipped.
:param verbose:
:param callbacks:
"""
CommonAllToAllConnector.__init__(
self,
allow_self_connections=allow_self_connections,
safe=safe,
verbose=verbose)
PyNNAllToAllConnector.__init__(
self,
allow_self_connections=allow_self_connections,
safe=safe,
callback=callbacks)
def __init__(self,
allow_self_connections=True,
safe=True,
verbose=None,
callback=None):
"""
: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: if True, 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 callable callback:
if given, a callable that display a progress bar on the terminal.
.. note::
Not supported by sPyNNaker.
"""
moved_in_v6(
"spynnaker8.models.connectors.AllToAllConnector",
"spynnaker.pyNN.models.neural_projections.connectors"
".AllToAllConnector")
_BaseClass.__init__(self,
allow_self_connections=allow_self_connections,
safe=safe,
verbose=verbose,
callback=callback)