human
I wrote the below code

    def _check_args(beta, delta):
        cond1 = ((beta > 0) and (beta <= 1) and (delta > 0) and (delta <= 1))
        cond2 = ((beta < 0) and (delta < 0))
        return (cond1 | cond2)
    if (not np.all(_check_args(beta, delta))):
        raise ValueError('invalid    args')
    def _integrant(w):
        term1 = (((1 - beta) * np.power(w, (- beta))) * (1 - t))
        term2 = (((1 - delta) * np.power((1 - w), (- delta))) * t)
        np.maximum(term1, term2)
    from scipy.integrate import quad
    transf = quad(_integrant, 0, 1)
    return transf

What's a good function header?

Here's a good function header?
assistant
#Here's a good function header.

def transform_bilogistic(t, beta, delta):