b4d968066572b1092b1bb220eae9635c21e01842,spynnaker/pyNN/models/neuron/synapse_types/synapse_type_exponential.py,SynapseTypeExponential,get_values,#SynapseTypeExponential#Any#Any#Any#,64

Before Change

    @overrides(AbstractSynapseType.get_values, additional_arguments={"ts"})
    def get_values(self, parameters, state_variables, ts):

        decay = lambda x: int(numpy.exp(-ts / x) * ulfract)  // noqa E731
        init = lambda x: (x / ts) * (1.0 - numpy.exp(-ts / x))  // noqa E731

        // Add the rest of the data
        return [parameters[TAU_SYN_E].apply_operation(decay),
                parameters[TAU_SYN_E].apply_operation(init),
                parameters[TAU_SYN_I].apply_operation(decay),
                parameters[TAU_SYN_I].apply_operation(init),
                state_variables[ISYN_EXC], state_variables[ISYN_INH]]

    @overrides(AbstractSynapseType.read_data)
    def update_values(self, values, parameters, state_variables):

After Change

    def has_variable(self, variable):
        return variable in UNITS

    @inject_items({"ts": "MachineTimeStep"})
    @overrides(AbstractSynapseType.get_values, additional_arguments={"ts"})
    def get_values(self, parameters, state_variables, vertex_slice, ts):

        decay = lambda x: int(numpy.exp(-ts / x) * ulfract)  // noqa E731
        init = lambda x: (x / ts) * (1.0 - numpy.exp(-ts / x))  // noqa E731

        // Add the rest of the data
        return [parameters[TAU_SYN_E].apply_operation(decay),
                parameters[TAU_SYN_E].apply_operation(init),
                parameters[TAU_SYN_I].apply_operation(decay),
                parameters[TAU_SYN_I].apply_operation(init),
                state_variables[ISYN_EXC], state_variables[ISYN_INH]]

    @overrides(AbstractSynapseType.read_data)
    def update_values(self, values, parameters, state_variables):

        // Read the data
        (_decay_E, _init_E, _decay_I, _init_I, isyn_exc, isyn_inh) = values

        state_variables[ISYN_EXC] = isyn_exc
        state_variables[ISYN_INH] = isyn_inh

Instances