constraints_handler.py 文件源码

def _get_bounds(self, ib, dimension):
        """ib == 0/1 means lower/upper bound, return a vector of length
        `dimension` """
        sign_ = 2 * ib - 1
        assert sign_**2 == 1
        if self.bounds is None or self.bounds[ib] is None:
            return np.array(dimension * [sign_ * np.Inf])
        res = []
        for i in range(dimension):
            res.append(self.bounds[ib][min([i, len(self.bounds[ib]) - 1])])
            if res[-1] is None:
                res[-1] = sign_ * np.Inf
        return np.array(res)