Source code for spynnaker.pyNN.models.neuron.plasticity.stdp.timing_dependence.abstract_timing_dependence

# 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, abstractproperty)

[docs]class AbstractTimingDependence(object, metaclass=AbstractBase): __slots__ = ()
[docs] @abstractmethod def is_same_as(self, timing_dependence): """ Determine if this timing dependence is the same as another :param AbstractTimingDependence timing_dependence: :rtype: bool """
@abstractproperty def vertex_executable_suffix(self): """ The suffix to be appended to the vertex executable for this rule :rtype: str """ @abstractproperty def pre_trace_n_bytes(self): """ The number of bytes used by the pre-trace of the rule per neuron :rtype: int """
[docs] @abstractmethod def get_parameters_sdram_usage_in_bytes(self): """ Get the amount of SDRAM used by the parameters of this rule :rtype: int """
@abstractproperty def n_weight_terms(self): """ The number of weight terms expected by this timing rule :rtype: int """
[docs] @abstractmethod def write_parameters(self, spec, weight_scales): """ Write the parameters of the rule to the spec :param ~data_specification.DataSpecificationGenerator spec: :param weight_scales: (unused?) :type weight_scales: dict(SynapseInformation, float) """
@abstractproperty def synaptic_structure(self): """ Get the synaptic structure of the plastic part of the rows :rtype: AbstractSynapseStructure """
[docs] @abstractmethod def get_parameter_names(self): """ Return the names of the parameters supported by this timing\ dependency model. :rtype: iterable(str) """
[docs] def get_provenance_data(self, pre_population_label, post_population_label): """ Get any provenance data :param str pre_population_label: label of pre. :param str post_population_label: label of post. :rtype: iterable(~spinn_front_end_common.utilities.utility_objs.ProvenanceDataItem) """ # pylint: disable=unused-argument return []