d738388c3ac14684d384b05d7e03417a0edffdd1,dit/multivariate/dilworth.py,,dilworth,#,7

Before Change

    
    rvs, crvs, rv_mode = normalize_rvs(dist, rvs, crvs, rv_mode)

    one = sum([H(dist, rv, crvs, rv_mode=rv_mode) for rv in rvs])
    two = H(dist, set().union(*rvs), crvs, rv_mode=rv_mode)
    T = one - two

    return T

After Change

        b = entropy(dist, crvs=crvs)
        return a - b

    J = min( I_P(p) for p in partitions(map(tuple, rvs)) if len(p) > 1 )

    return J

Instances