def initialize()

in datasets/ClassPrioritySampler.py [0:0]


    def initialize(self, init_weights):
        """Initialize the tree."""

        # Rescale the fixed_weights if it is not zero
        self.fixed_scale_init = self.fixed_scale
        if self.fixed_weights.sum() > 0 and init_weights.sum() > 0:
            self.fixed_scale_init *= init_weights.sum() / self.fixed_weights.sum()
            self.fixed_weights *= self.fixed_scale * init_weights.sum() \
                                / self.fixed_weights.sum()
        print('FixedWeights: {}'.format(self.fixed_weights.sum()))

        self.update_whole(init_weights + self.fixed_weights)
        self._initialized = True