optimization test

import os
import ipdb;
import numpy as np
from my_optimization import *

def tb_simple(x):
    f = np.sum(np.abs(x[1:]))+x[0]
    return f



# OPTIMIZATION

size_x = 3
bound_i = (-5.12,5.12)
bounds = []
for i in range (0, size_x):
      bounds.append(bound_i)

x0 = 5*np.ones(size_x)

maxiter = 2000
step = 0.1
args = []


res = my_hillclimbing(tb_simple, x0, bounds, maxiter, step, args)
print("Final x: [",)
print("%f" % res.x[0],)
for i in range(1,len(res.x)):
    print(", %f" % res.x[i],)

print("]\n",)
#print res.x
print("Final cost: %f \n" % res.cost)