687ce44db115ab1c5af604af84b7ab6059e4cfff,spynnaker/pyNN/models/neuron/neuron_models/neuron_model_izh.py,NeuronModelIzh,__init__,#NeuronModelIzh#Any#Any#Any#Any#Any#Any#Any#Any#,50

Before Change

            "i_offset": "nA"}

        self._n_neurons = n_neurons
        self._a = utility_calls.convert_param_to_numpy(a, n_neurons)
        self._b = utility_calls.convert_param_to_numpy(b, n_neurons)
        self._c = utility_calls.convert_param_to_numpy(c, n_neurons)
        self._d = utility_calls.convert_param_to_numpy(d, n_neurons)
        self._v_init = utility_calls.convert_param_to_numpy(v_init, n_neurons)
        self._u_init = utility_calls.convert_param_to_numpy(u_init, n_neurons)
        self._i_offset = utility_calls.convert_param_to_numpy(
            i_offset, n_neurons)

After Change

class NeuronModelIzh(AbstractNeuronModel, AbstractContainsUnits):

    def __init__(self, n_neurons, a, b, c, d, v_init, u_init, i_offset):
        AbstractNeuronModel.__init__(self)
        AbstractContainsUnits.__init__(self)

        self._units = {
            A: "ms",
            B: "ms",
            C: "mV",
            D: "mV/ms",
            V_INIT: "mV",
            U_INIT: "mV/ms",
            I_OFFSET: "nA"}

        self._n_neurons = n_neurons
        self._data = RangeDictionary(size=n_neurons)
        self._data[A] = a
        self._data[B] = b
        self._data[C] = c
        self._data[D] = d
        self._data[V_INIT] = v_init
        self._data[U_INIT] = u_init
        self._data[I_OFFSET] = i_offset

    @property
    def a(self):

Instances