How to use the jupyter.Timo.own.mfl_sensing_simplelib.basic_LiuWestResampler function in jupyter

# a valid property.
        self.particle_locations = np.zeros((0, model.n_modelparams))
        self.particle_weights = np.zeros((0,))

        # Initialize metadata on resampling performance.
        self._resample_count = 0

        self.model = model
        self.prior = prior

        # check for how verbose the code should be
        self._debug_resampling = debug_resampling

        self.resample_thresh = resample_thresh

        self.resampler = basic_LiuWestResampler(a=resample_a)

        # Initialize properties to hold information about the history.
        self._just_resampled = False
        self._data_record = []
        self._normalization_record = []

        self._zero_weight_policy = zero_weight_policy
        self._zero_weight_thresh = (
            zero_weight_thresh
            if zero_weight_thresh is not None else
            10 * np.spacing(1)
        )

        ## PARTICLE INITIALIZATION ##
        self.reset(n_particles)