f47485cc4a21fb18564ede7ab0cc9001dbd0f1d9,chaospy/descriptives/sensitivity/total.py,,Sens_t,#Any#Any#,9

Before Change

    dim = len(dist)
    poly = setdim(poly, dim)

    zero = [1]*dim
    out = numpy.zeros((dim,) + poly.shape, dtype=float)
    V = Var(poly, dist, **kws)
    for i in range(dim):
        zero[i] = 0
        out[i] = ((V-Var(E_cond(poly, zero, dist, **kws), dist, **kws)) /
                  (V+(V == 0))**(V!=0))
        zero[i] = 1
    return out

After Change

        return out

    out[:] = variance
    for idx, unit_vec in enumerate(numpy.eye(dim, dtype=int)):
        conditional = E_cond(poly, 1-unit_vec, dist, **kws)
        out[idx] -= Var(conditional, dist, **kws)
        out[idx] /= variance

    return out

Instances