a5f32c41b01f8e058c414668d2f9b578300f45b0,dit/multivariate/entropy.py,,entropy,#,9

Before Change

            rvs = list(range(dist.outcome_length()))
            rv_mode = RV_MODES.INDICES
        if crvs is None:
            crvs = []
    else:
        return shannon_entropy(dist)

    return conditional_entropy(dist, rvs, crvs, rv_mode=rv_mode)

After Change

    
    if dist.is_joint():
        rvs, crvs, rv_mode = normalize_rvs(dist, rvs, crvs, rv_mode)
        rvs = list(flatten(rvs))
        H = conditional_entropy(dist, rvs, crvs, rv_mode=rv_mode)
    else:
        H = shannon_entropy(dist)

    return H

Instances