# 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
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# 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 <http://www.gnu.org/licenses/>.

from spynnaker.pyNN.models.neuron.plasticity.stdp.timing_dependence import (
    TimingDependenceSpikeNearestPair as
    _BaseClass)

_defaults = _BaseClass.default_parameters


class TimingDependenceSpikeNearestPair(_BaseClass):
    __slots__ = [
        "__a_plus",
        "__a_minus"]

    def __init__(
            self, tau_plus=_defaults['tau_plus'],
            tau_minus=_defaults['tau_minus'],
            A_plus=0.01, A_minus=0.01):
        super(TimingDependenceSpikeNearestPair, self).__init__(
            tau_plus=tau_plus, tau_minus=tau_minus)

        self.__a_plus = A_plus
        self.__a_minus = A_minus

    @property
    def A_plus(self):
        return self.__a_plus

    @A_plus.setter
    def A_plus(self, new_value):
        self.__a_plus = new_value

    @property
    def A_minus(self):
        return self.__a_minus

    @A_minus.setter
    def A_minus(self, new_value):
        self.__a_minus = new_value
