def set_up_patches():
string = 'G.set_of_patches = list(product('
for x in G.DIM_SIZE:
string = string + 'range(' + str(x) + '),'
string = string[:-1] + '))'
exec string
set_of_patches = G.set_of_patches
setup_loc_arr()
G.hills = tuple([Hills(dim) for dim in G.HILL_DIM])
G.peaks = set([x._location[:x._num_dim] for x in G.hills])
# For Gaussian hills, deactive the For loop and until the next for loop (ie until "for patch...")
# for hill in G.hills:
# try:
# starting_patches = hill._starting_patches & starting_patches
# sig_patches = sig_patches | hill._sig_patches
# except:
# starting_patches = hill._starting_patches
# sig_patches = hill._sig_patches
# G.starting_patches = starting_patches
# G.sig_patches_loc = sig_patches
# G.sig_patches = len(sig_patches)
for patch in set_of_patches:
temp = Patches(patch)
G.patches_sig[patch] = temp._sig
G.patches_vis[patch] = 0
G.total_significance = float(scipy_sum(G.patches_sig))
#Finding neighborhood and neighborhood significance
arr_size = G.arr_size
patches_loc = G.patches_loc
patches_sig = G.patches_sig
patches_nhbd = [neighborhood(x) for x in patches_loc]
G.patches_nhbd_sig = [[patches_sig[x] for x in patches_nhbd[i]] for i in range(arr_size)]
G.patches_nhbd = patches_nhbd
def progress():
patches_sig = G.patches_sig
patches_vis = G.patches_vis
sig_per_turtle_p = []
sig_per_turtle_n = []
total_explored = set()
sum_n = 0
for turtle in G.turtles:
# explored = turtle._explored
explored = turtle._explored - total_explored
total_explored = total_explored | explored
# This sig_per_turtle is calculated as a percentage of total significance on hill
turtle_sig_p = sum([patches_sig[x] for x in explored])
sig_per_turtle_p.append(turtle_sig_p/G.total_significance)
# This sig_per_turtle is calculated as a percentage of significant patches
# turtle_sig_n = len([x for x in explored if patches_sig[x] > 0])
turtle_sig_n = len(explored & G.sig_patches_loc)
sum_n += turtle_sig_n
sig_per_turtle_n.append(float(turtle_sig_n)/G.sig_patches)
G.sig_per_turtle_p = sig_per_turtle_p
G.sig_per_turtle_n = sig_per_turtle_n
G.percent_progress = sum(patches_sig[patches_vis != 0])/G.total_significance
G.total_prog = G.count_patches[0]/Decimal(G.arr_size)
G.wasted_effort = scipy_sum(patches_vis) - len(where(patches_vis > 0)[0])
