如何在gurobi-python中使用点积进行目标函数？

import gurobipy as gp
import numpy as np

model = gp.Model()

x = model.addVars(3, lb=0, ub=1, vtype=gp.GRB.CONTINUOUS, name="x")

c = np.array([1, 2, 3])  # 目标函数系数
obj = np.dot(c, x)  # 点积运算
model.setObjective(obj, gp.GRB.MAXIMIZE)  # 设置目标函数为最大化

model.addConstr(x[0] + x[1] + x[2] <= 2, "c0")

model.optimize()

if model.status == gp.GRB.OPTIMAL:
    print('Optimal objective value: %g' % model.objVal)
    for v in model.getVars():
        print('%s = %g' % (v.varName, v.x))
else:
    print('Optimization failed. Status code: %d' % model.status)