Sortie Print

mport numpy as nt
import matplotlib.pyplot as plt
class FoncOptim():
#    
    def __init__(soi,h,a,b,N):
        soi.a=a
        soi.b=b
        soi.N=N
        soi.h=h
#
    def h(soi,x):
        y=1.0+5.0*(x**4-x**2)*nt.exp(-x**2)
        return y
#
    def Max_min(soi,A):
        
        #
           MV=A[0]; mv=A[0] 
           n=len(A) 
        #
           for i in nt.arange(1,n):
        #    
               if (MV < A[i]):
                    MV=A[i]
        #      
               if (mv > A[i]):
                    mv=A[i]
        #
           return(MV,mv)
#
    def func_opt(soi,a,b,N): 
      x=nt.zeros(N+1) 
      y=nt.zeros(N+1)  
    # 
      dx=(b-a)/N
      for i in nt.arange(0,N+1):
               x[i]=a+i*dx
               y[i]=h(x[i])
               plt.plot([x[i],x[i]],[0,y[i]],'r')
    #    
      MAX,min=Max_min(y)
    #
      plt.plot(x,y,'b')
      plt.xlabel('x')  
      plt.title('Fonction étudiée')
      plt.ylabel('y')
      plt.grid() 
    #  
    #
      XMAX=[]; xmin=[]
      for j in nt.arange(0,N+1):
    #    
         if (nt.absolute(y[j]-MAX) < 0.00001):
                XMAX.append(x[j])
    #            
         if (nt.absolute(y[j]-min) < 0.00001):
                xmin.append(x[j])           
    #            
      print("Le total des valeurs maximales est %3d" % len(XMAX))
    #    
      for val in XMAX:
          print("La valeur maximale de %f se situe à x=%f" % (MAX,val))
    #        
      print(" \nLe total des valeurs minimales est %3d" % len(xmin))      
    # 
      for val in xmin:
          print("La valeur minimale de %f se situe à x=%f" % (min,val))
    #        
    #      
      return (MAX,min)  
opti=FoncOptim(h,-1,5,150)
print('a=',opti.a)
print('b=',opti.b)
print('N=',opti.N)
a= -1
b= 5
N= 150
ti.
print(opti.Max_min([2,4,7,9,10,5]))
(10, 2)
opti.func_opt(-1,5,150)
---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-471-1156f43b0e96> in <module>
----> 1 opti.func_opt(-1,5,150)

<ipython-input-466-a900159e460a> in func_opt(soi, a, b, N)
     37                plt.plot([x[i],x[i]],[0,y[i]],'r')
     38     #
---> 39       MAX,min=Max_min(y)
     40     #
     41       plt.plot(x,y,'b')

NameError: name 'Max_min' is not defined