_constraints.py 文件源码

def _is_feasible(kind, enforce_feasibility, f0):
    keyword = kind[0]
    if keyword == "equals":
        lb = np.asarray(kind[1], dtype=float)
        ub = np.asarray(kind[1], dtype=float)
    elif keyword == "greater":
        lb = np.asarray(kind[1], dtype=float)
        ub = np.full_like(lb, np.inf, dtype=float)
    elif keyword == "less":
        ub = np.asarray(kind[1], dtype=float)
        lb = np.full_like(ub, -np.inf, dtype=float)
    elif keyword == "interval":
        lb = np.asarray(kind[1], dtype=float)
        ub = np.asarray(kind[2], dtype=float)
    else:
        raise RuntimeError("Never be here.")

    return ((lb[enforce_feasibility] <= f0[enforce_feasibility]).all()
            and (f0[enforce_feasibility] <= ub[enforce_feasibility]).all())