使用numba.jit加快了右手端计算odeint从scipy.integrate正常工作：
from scipy.integrate import ode, odeint
from numba import jit
@jit
def rhs(t, X):
return 1
X = odeint(rhs, 0, np.linspace(0, 1, 11))
但是这样使用integrate.ode：
solver = ode(rhs)
solver.set_initial_value(0, 0)
while solver.successful() and solver.t < 1:
solver.integrate(solver.t + 0.1)
装饰器产生以下错误@jit：
capi_return is NULL
Call-back cb_f_in_dvode__user__routines failed.
Traceback (most recent call last):
File "sandbox/numba_cubic.py", line 15, in <module>
solver.integrate(solver.t + 0.1)
File "/home/pgermann/Software/anaconda3/lib/python3.4/site-packages/scipy/integrate/_ode.py", line 393, in integrate
self.f_params, self.jac_params)
File "/home/pgermann/Software/anaconda3/lib/python3.4/site-packages/scipy/integrate/_ode.py", line …