解包值太多报错（自定义函数参数太多）

在进行最小二乘法曲线拟合时报错参数太多
import numpy as np
from numpy import pi
from scipy.optimize import leastsq

def func(p,x):
    A,k,theta = p
    return A*np.sin(2*k*np.pi*x+theta)

def residuals(x,y,p): 
    return fun(p,x)-y

x=np.linspace(0,-2*pi,100)
A,k,theta=10,0.34,np.pi/6
y1=func(x,[A,k,theta]) 
y2=y1+2*np.random.randn(len(x))
p0=[7,0.2,0]

#曲线拟合
plsq=leastsq(residuals,p0,args(y2,x))

out:ValueError: 第15行y1=func(x,[A,k,theta]) ：too many values to unpack (expected 3)