2957144417620c5f24282051414ec44201c827a9,batchflow/sampler.py,HistoSampler,sample,#HistoSampler#Any#,500

Before Change

        np.ndarray
            array of shape (size, histo dimension).
        
        return sample_histodd((self.bins, self.edges), size, self.state)

    def update(self, points):
         Update bins of sampler"s histogram by throwing in additional points.

After Change

            array of shape (size, histo dimension).
        
        // Choose bins to use according to non-zero probabilities
        bin_nums = np.random.choice(self.nonzero_probs_idx, p=self.nonzero_probs, size=size)

        // uniformly generate samples from selected boxes
        low, high = self.l_all[bin_nums], self.h_all[bin_nums]
        return self.state_sampler(low=low, high=high)

    def update(self, points):
         Update bins of sampler"s histogram by throwing in additional points.

Instances