Не получается минимизировать функцию потерь

import numpy as np
from scipy import stats
from scipy.optimize import minimize
x = [1,2,3,4,5]
def oro(theta, x):
    norma = 0 
    b = 1
    u = theta[0]
    o = theta[1]
    x = np.array(x)
    x0 = 0
    f0 = -(((1/(o*(2*3.14)**(0.5)))*(2.718)**-(((x0-u)**2)/(2*(o**2))))**b)**-1
    for i in range(x.size):
        f = (1/(o*(2*3.14)**(0.5)))*(2.718)**-(((x[i]-u)**2)/(2*(o**2)))**b
        norma += f0*f
    return norma
theta_init = [0, 1]
res = minimize(oro, theta_init, args=x)
res

<ipython-input-81-ee81472a023a>:8: RuntimeWarning: divide by zero encountered in double_scalars
  f0 = -(((1/(o*(2*3.14)**(0.5)))*(2.718)**-(((x0-u)**2)/(2*(o**2))))**b)**-1
<ipython-input-81-ee81472a023a>:11: RuntimeWarning: invalid value encountered in double_scalars
  norma += f0*f
<ipython-input-81-ee81472a023a>:8: RuntimeWarning: divide by zero encountered in double_scalars
  f0 = -(((1/(o*(2*3.14)**(0.5)))*(2.718)**-(((x0-u)**2)/(2*(o**2))))**b)**-1
<ipython-input-81-ee81472a023a>:11: RuntimeWarning: invalid value encountered in double_scalars
  norma += f0*f
<ipython-input-81-ee81472a023a>:8: RuntimeWarning: divide by zero encountered in double_scalars
  f0 = -(((1/(o*(2*3.14)**(0.5)))*(2.718)**-(((x0-u)**2)/(2*(o**2))))**b)**-1
<ipython-input-81-ee81472a023a>:11: RuntimeWarning: invalid value encountered in double_scalars
  norma += f0*f
      fun: nan
 hess_inv: array([[9.57096191e+02, 2.41349815e+01],
       [2.41349815e+01, 8.33412317e-01]])
      jac: array([nan, nan])
  message: 'Desired error not necessarily achieved due to precision loss.'
     nfev: 357
      nit: 4
     njev: 119
   status: 2
  success: False
        x: array([165623.69347712,   1751.95100725])