为什么同一问题的以下两个版本会给出不同的结果 y_phi，而所有参数都相同，并且随机值在两个版本中都以相同的值作为种子？我知道 Version_1 给出了正确的结果，而 Version_2 给出了错误的结果，为什么会这样？我在哪里犯了 Version_2 错误？
版本_1：
from numpy import *
import random
from scipy.integrate import odeint
def f(phi, t, alpha):
v_phi = zeros(x*y, float)
for n in range(x*y):
cmean = cos(phi[n])
smean = sin(phi[n])
v_phi[n] = smean*cos(phi[n]+alpha)-cmean*sin(phi[n]+alpha)
return v_phi
x = 5
y = 5
N = x*y
PI = pi
alpha = 0.2*PI
random.seed(1010)
phi = zeros(x*y, float)
for i in range(x*y):
phi[i] = random.uniform(0.0, 2*PI)
t = arange(0.0, 100.0, 0.1)
y = odeint(f, phi, t, args=(alpha,))
y_phi = [y[len(t)-1, i] for i in range(N)]
print y_phi
版本_2：
def f(phi, t, alpha, cmean, smean):
v_phi = zeros(x*y, float)
for n in range(x*y):
v_phi[n] = smean[n]*cos(phi[n]+alpha)-cmean[n]*sin(phi[n]+alpha)
return v_phi
x = 5
y = 5
N = x*y
PI = pi
alpha = 0.2*PI
random.seed(1010)
phi = zeros(x*y, float)
for i in range(x*y):
phi[i] = random.uniform(0.0, 2*PI)
t = arange(0.0, 100.0, 0.1)
cmean = []
smean = []
for l in range(x*y):
cmean.append(cos(phi[l]))
smean.append(sin(phi[l]))
y = odeint(f, phi, t, args=(alpha, cmean, smean,))
y_phi = [y[len(t)-1, i] for i in range(N)]
print y_phi