8df87625c7514476035b37b16b8700aa7c83fb1e,arviz/stats/diagnostics.py,,ks_summary,#Any#,472

Before Change

    
    _numba_flag = Numba.numba_flag
    if _numba_flag:
        kcounts = histogram(pareto_tail_indices)
    else:
        kcounts, _ = np.histogram(pareto_tail_indices, bins=[-np.Inf, 0.5, 0.7, 1, np.Inf])
    kprop = kcounts / len(pareto_tail_indices) * 100
    df_k = pd.DataFrame(

After Change

    
    _numba_flag = Numba.numba_flag
    if _numba_flag:
        bins = np.asarray([-np.Inf, 0.5, 0.7, 1, np.Inf])
        kcounts, _ = histogram(pareto_tail_indices, bins)
    else:
        kcounts, _ = np.histogram(pareto_tail_indices, bins=[-np.Inf, 0.5, 0.7, 1, np.Inf])
    kprop = kcounts / len(pareto_tail_indices) * 100
    df_k = pd.DataFrame(

Instances