def METHOD_NAME(spike_train, censored_period):
    indices_of_duplicates = numba.typed.List()
    N = len(spike_train)
    for i in range(N - 1, 0, -1):
        if i in indices_of_duplicates:
            continue
        for j in range(i - 1, -1, -1):
            if spike_train[i] - spike_train[j] > censored_period:
                break
            indices_of_duplicates.append(j)
    return np.asarray(indices_of_duplicates)