如何用Python计算gurobi中的2范数约束？

import gurobipy as gp
from gurobipy import GRB
import numpy as np

model = gp.Model("2_norm_constraint")

x = model.addVars(n, lb=-GRB.INFINITY, vtype=GRB.CONTINUOUS, name="x")

obj = # 定义目标函数
model.setObjective(obj, GRB.MINIMIZE)

A = # 定义约束矩阵
b = # 定义约束向量

norm_constraint = model.addConstr(gp.quicksum(A[i,j]*x[j] for j in range(n)) <= b[i] for i in range(m))

model.optimize()

if model.status == GRB.OPTIMAL:
    solution = model.getAttr('x', x)
    print("Optimal solution:")
    for i in range(n):
        print(f"x[{i}] = {solution[i]}")