#f = revf.gaussian_diff_multimodal4_positive_max
#test_function_shape(f, -r, r,dim)
#dim =2
lb = [0 for i in range(dim)]
ub = [r for i in range(dim)]
# alh = SwarmPackagePy.z_bfoa_general_v1_max(100, f, lb, ub, 2, 100, 8, 8, 4, 12, 0.1, 0.25, 0.1, 0.2, 0.1, 10, 100, 0.03, 'none', 'none', 'false', 'discrete','max')
#alh = SwarmPackagePy.z_bfoa_general_v1_max(100, f, lb, ub, dim, 100, 8, 8, 4, 12, 0.1, 0.25, 0.1, 0.2, 0.1, 10, 100, 0.03, 'none', 'none', 'false', 'discrete','max')
#alh = SwarmPackagePy.z_bfoa_general_v1_max(100, f, lb, ub, dim, 100, 8, 16, 4, 12, 0.1, 0.25, 0.1, 0.2, 0.1, 10, 100, 0.03, 'none', 'none', 'false', 'discrete','max')
alh = SwarmPackagePy.z_bfoa_general_v1_max(100, f, lb, ub, dim, 100, 16, 16, 4,
12, 0.1, 0.25, 0.1, 0.2, 0.1, 10,
100, 0.03, 'none', 'none', 'false',
'discrete', 'max')
print('Maximum Revenue : ', revf.MaxRev)
print('Optimum Allocation : ', revf.OptAlloc)
#print('Max Revenue : ',revf.OptAlloc)
fits = alh._get_jfits()
plt.plot(fits, 'b', label='J-fit')
jcclist = alh._get_jcclist()
plt.plot(jcclist, 'r', label='J-cc')
jarlist = alh._get_jarlist()
plt.plot(jarlist, 'g', label='J-ar')
#NICE WOW
#alh = SwarmPackagePy.z_bfoa_general_v1(100, f, lb, ub, 2, 100, 8, 8, 4, 12, 0.1, 0.25, 0.1, 0.2, 0.1, 10, 100, 0.03, 'none', 'swarm2', 'false', search_type='discrete')
#WOW BEST SO FAR - CELLULAR AUTOMATUM
#alh = SwarmPackagePy.z_bfoa_general_v1(100, f, lb, ub, 2, 100, 8, 8, 4, 12, 0.1, 0.25, 0.1, 0.2, 0.1, 10, 100, 0.03, 'none', 'none', 'false', search_type='discrete')
#GOOD BUT NOT VERY MUCH. BEST VALUE VARY
#alh = SwarmPackagePy.z_bfoa_general_v1(100, f, lb, ub, 2, 100, 8, 8, 4, 12, 0.1, 0.25, 0.1, 0.2, 0.1, 10, 100, 0.03, 'none', 'swarm1', 'false', search_type='discrete')
#alh = SwarmPackagePy.z_bfoa_general_v1(100, f, lb, ub, 2, 100, 8, 8, 4, 12, 0.1, 0.25, 0.1, 0.2, 0.1, 10, 100, 0.03, 'none', 'swarm2', 'false', search_type='discrete')
#alh = SwarmPackagePy.z_bfoa_general_v1_max(100, f, lb, ub, 2, 100, 8, 8, 4, 12, 0.1, 0.25, 0.1, 0.2, 0.1, 10, 100, 0.03, 'none', 'swarm1', 'false', 'discrete','max')
#alh = SwarmPackagePy.z_bfoa_general_v1_max(100, f, lb, ub, 2, 100, 8, 8, 4, 12, 0.1, 0.25, 0.1, 0.2, 0.1, 10, 100, 0.03, 'none', 'none', 'false', 'discrete','max')
alh = SwarmPackagePy.z_bfoa_general_v1_max(100, f, lb, ub, 2, 100, 8, 8, 4, 12,
0.1, 0.25, 0.1, 0.2, 0.1, 10, 100,
0.03, 'adaptive1', 'swarm2',
'false', 'continuous', 'min')
#TEST CASES
########################################################################
#DAMN WORSE - Lets change SOme Parametr Nc = 4
'''
n =100 #50
r = 20
lamda = 100
f = tf.gaussian_diff_multimodal_positive
dim =2
alh = SwarmPackagePy.z_bfoa(100, f, -r, r, 2, 100, 8, 8, 12, 12, 0.1, 0.25, 0.1, 0.2, 0.1, 10, 100, 0.03, 'none', 'swarm1', 'false')
'''