rosenbrock function

from random import uniform
L = [-0.5, 0.5]
U = [1.5, 2.5]


def f(x,y):
        return (1-x)**2 + 100*(y-x**2)**2

def randomSearch(L, U, N=1000):
        Y, P = [], []
        for k in range(N): # uwaga, zdefiniować N
                R = [uniform(0,1) for k in range(2)]
                #X = [l+r*(u-l) for l,u,r in zip(L,U,R)]
                X = list(map(lambda l,r,u: l+r*(u-l), L,U,R))
                Y.append(f(X[0], X[1]))
                P.append(X)
        fMin = Y[0]
        fMinId = 0
        for k in range(len(Y)):
                if fMin > Y[k]:
                        fMin = Y[k]
                        fMinId = k
        pMin = P[fMinId]

        return fMin, pMin

val = randomSearch(L,U,N=100)
print("Wynik dla N = 100")
print(val)
val = randomSearch(L,U,N=1000)
print("Wynik dla N = 1000")
print(val)
val = randomSearch(L,U,N=10000)
print("Wynik dla N = 10000")
print(val)
val = randomSearch(L,U,N=100000)
print("Wynik dla N = 100000")
print(val)