787ab0ec8b8b510c503cac87706f453b9083a5cb,Orange/classification/majority.py,MajorityLearner,fit_storage,#MajorityLearner#Any#,25

Before Change

        else:
            dist.fill(1 / len(dist))

        if all(np.array(dist) == dist[0]):
            unif_maj = int(sha1(bytes(dat.Y)).hexdigest(), 16) % len(dist)
        else:
            unif_maj = None

After Change

            dist.fill(1 / len(dist))

        probs = np.array(dist)
        ties = np.flatnonzero(probs == probs.max())
        if len(ties) > 1:
            random_idx = int(sha1(bytes(dat.Y)).hexdigest(), 16) % len(ties)
            unif_maj = ties[random_idx]
        else:

Instances