def print_highest_plurality(experiment_id): def normalizing_func(shade): shade /= 100 shade = 1 - shade return shade def reversed_func(arg): arg = 1 - arg arg *= 100 return arg def marker_func(shade): if shade == 0: return 'x' return "o" #[print(reversed_func(i)) for i in [0.25, 0.5, 0.75, 1.]] custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) xticklabels = list(['100', '75', '50', '25', '0']) pr.print_2d(experiment_id, mask=True, saveas="highest_plurality", ms=16, values="highest_plurality", normalizing_func=normalizing_func, xticklabels=xticklabels, marker_func=marker_func, cmap=custom_map, tex=True, black=True)
def print_crazy(experiment_id): def normalizing_func(shade): shade -= 1 #shade = 1. - shade return shade def reversed_func(arg): arg *= 900 return arg [print(reversed_func(i)) for i in [0.25, 0.5, 0.75, 1.]] custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) #custom_map = mo.custom_div_cmap(colors=["yellow", "orange", "red", "purple", "blue"]) xticklabels = list(['900', '800', '700', '600', '500']) pr.print_2d(experiment_id, saveas="scores/map_crazy", ms=16, values="crazy", normalizing_func=normalizing_func, xticklabels=xticklabels, cmap=custom_map, black=True, levels=True)
def print_highest_dodgson_10(experiment_id): def normalizing_func(shade): if shade != 0: shade = math.log(shade) / 2 return shade def reversed_func(arg): return math.e**(arg * 2) def marker_func(shade): if shade == 0: return 'x' return "o" [print(reversed_func(i)) for i in [0.25, 0.5, 0.75, 1.]] custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) xticklabels = list(['0', '1', '3', '5', '8+']) pr.print_2d(experiment_id, saveas="scores/map_highest_dodgson_10", ms=16, values="highest_dodgson", normalizing_func=normalizing_func, xticklabels=xticklabels, marker_func=marker_func, cmap=custom_map, black=True, levels=True)
def print_highest_borda_10(experiment_id): def normalizing_func(shade): if shade == -1: return 1 shade -= 500. shade /= 400. shade = 1. - shade return shade def reversed_func(arg): arg = 1. - arg arg *= 400 arg += 500 return arg [print(reversed_func(i)) for i in [0.25, 0.5, 0.75, 1.]] custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) xticklabels = list(['900', '800', '700', '600', '500']) pr.print_2d(experiment_id, saveas="scores/map_highest_borda_10", ms=16, values="highest_borda", normalizing_func=normalizing_func, xticklabels=xticklabels, cmap=custom_map, black=True, magic=2)
def print_highest_copeland_10(experiment_id): def normalizing_func(shade): shade /= 9 shade = 1 - shade shade *= 2 return shade def reversed_func(arg): arg /= 2 arg = 1 - arg arg *= 9 return arg def marker_func(shade): if shade == 0: return 'x' return "o" [print(reversed_func(i)) for i in [0.25, 0.5, 0.75, 1.]] custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) #xticklabels = list(['99', '95.6', '92.8', '89.1', '86.6']) xticklabels = list(['9', '8', '7', '6', '5-']) pr.print_2d(experiment_id, saveas="scores/map_highest_copeland_10", ms=16, values="highest_copeland", normalizing_func=normalizing_func, xticklabels=xticklabels, marker_func=marker_func, cmap=custom_map, black=True, levels=True)
def print_distance_from_diameter_ilp_6(experiment_id): def normalizing_func(shade): #shade /= metr.map_diameter_unid(6) # shade -= 1 # shade *= 10 shade /= 1.5 return shade def reversed_func(arg): # arg /= 10 # arg += 1 # arg *= metr.map_diameter(10) arg *= 1.5 return arg #print(metr.map_diameter_unid(6)) [print(reversed_func(i)) for i in [0., 0.25, 0.5, 0.75, 1.]] custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) xticklabels = list(['0', '0.375', '0.75', '1.125', '1.5+']) pr.print_2d(experiment_id, saveas="distances/map_distance_from_diameter_ilp_6", ms=16, values="diameter_ilp", normalizing_func=normalizing_func, xticklabels=xticklabels, cmap=custom_map, black=True, levels=True)
def print_highest_plurality_10(experiment_id): def normalizing_func(shade): shade -= 10 shade /= 90 shade = 1 - shade return shade def reversed_func(arg): arg = 1 - arg arg *= 90 arg += 10 return arg [print(reversed_func(i)) for i in [0., 0.25, 0.5, 0.75, 1.]] custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) xticklabels = list(['100', '77.5', '55', '32.5', '10']) pr.print_2d(experiment_id, saveas="scores/map_highest_plurality_10", ms=16, values="highest_plurality", normalizing_func=normalizing_func, xticklabels=xticklabels, cmap=custom_map, black=True, magic=2)
def print_greedy_removal(): def marker_func(shade): if shade == 0.5: return 'x' return "o" def normalizing_func(shade): if shade > 0.05: shade = 0.05 if shade < -0.05: shade = -0.05 if shade != 0: shade = 0.5 + shade * 10 else: shade = 0.5 return shade experiment_id = "testbed_100_100" custom_map = pr.custom_div_cmap( colors=["darkred", "red", "grey", "blue", "darkblue"]) xticklabels = list(['1.05+', '1.025', '1', '1.025', '1.05+']) pr.print_2d(experiment_id, mask=True, saveas="greedy_removal", ms=16, values="greedy_removal", normalizing_func=normalizing_func, xticklabels=xticklabels, cmap=custom_map, marker_func=marker_func, tex=True, black=True)
def print_highest_dodgson(experiment_id): def normalizing_func(shade): if shade != 0: shade = math.log(shade) / 5.5 return shade def reversed_func(arg): return math.e**(arg * 5.5) def marker_func(shade): if shade == 0: return 'x' return "o" #[print(reversed_func(i)) for i in [0.25, 0.5, 0.75, 1.]] custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) xticklabels = list(['0', '4', '16', '62', '245+']) pr.print_2d(experiment_id, mask=True, saveas="highest_dodgson", ms=16, values="highest_dodgson", normalizing_func=normalizing_func, xticklabels=xticklabels, marker_func=marker_func, cmap=custom_map, tex=True, black=True)
def print_distance_from_dwa_sery_10(experiment_id): def normalizing_func(shade): shade -= 27 if shade < 0: print("LLLOOOOWWWW") shade /= 12 return shade def reversed_func(arg): arg *= 12 arg += 27 return arg [print(reversed_func(i)) for i in [0., 0.25, 0.5, 0.75, 1.]] custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) xticklabels = list(['27', '30', '33', '36', '39+']) pr.print_2d(experiment_id, saveas="scores/map_dwa_sery_10", ms=16, values="dwa_sery", normalizing_func=normalizing_func, xticklabels=xticklabels, cmap=custom_map, black=True, levels=True)
def print_zip(): def normalizing_func(shade): return shade def reversed_func(arg): return arg def marker_func(shade): if shade == 0: return 'x' return "o" print(reversed_func(0)) #[print(reversed_func(i)) for i in [0.25, 0.5, 0.75, 1.]] experiment_id = "testbed_100_100" custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) #custom_map = mo.custom_div_cmap(colors=["yellow", "orange", "red", "purple", "blue"]) xticklabels = list(['0', '0.25', '0.5', '0.75', '1']) pr.print_2d(experiment_id, mask=True, saveas="zip_size", ms=16, values="zip_size", normalizing_func=normalizing_func, xticklabels=xticklabels, marker_func=marker_func, cmap=custom_map, tex=True, black=True)
def print_hb_time(): def normalizing_func(shade): shade -= 2 shade = math.log(shade) shade /= 4.58 # shade *= 100 #shade = math.log(shade) # shade /= 5 return shade def reversed_func(arg): arg *= 4.58 arg = math.e**arg arg += 2 return arg def marker_func(shade): if shade == 0: return 'x' return "o" [print(reversed_func(i)) for i in [0.25, 0.5, 0.75, 1.]] experiment_id = "testbed_100_100" #custom_map = mo.custom_div_cmap(colors=["lightgreen", "yellow", "orange", "red", "black"]) custom_map = pr.custom_div_cmap(colors=["white", "purple"]) custom_map = pr.custom_div_cmap( colors=["bisque", "orange", "red", "purple", "black"]) custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) #custom_map = mo.custom_div_cmap(colors=["#ffe4ff", "purple"]) xticklabels = list(['2s', '5s', '12s', '33s', '100s+']) pr.print_2d(experiment_id, mask=True, saveas="hb_time", ms=16, values="hb_time", normalizing_func=normalizing_func, xticklabels=xticklabels, marker_func=marker_func, cmap=custom_map, tex=True, black=True)
def print_sharp_levels_c10(experiment_id, num_levels=5): def normalizing_func(shade): shade /= map_diameter(10) shade *= num_levels shade = math.floor(shade) shade /= num_levels return shade custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) xticklabels = list(['0', '8.25', '16.5', '24.75', '33']) pr.print_2d(experiment_id, saveas="scores/map_sharp_levels_10_l" + str(num_levels), ms=16, values="levels", normalizing_func=normalizing_func, xticklabels=xticklabels, cmap=custom_map, black=True, levels=True, magic=2)
def print_distance_from_rand_point_10(experiment_id, rand_id=-1, nice_name=''): def normalizing_func(shade): shade /= 25 return shade def reversed_func(arg): arg *= 25 return arg [print(reversed_func(i)) for i in [0., 0.25, 0.5, 0.75, 1.]] custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) xticklabels = list(['0', '6.25', '12.5', '18.75', '25+']) pr.print_2d(experiment_id, saveas="distances/map_rand_point_" + str(nice_name), ms=16, values="rand_point_" + str(nice_name), normalizing_func=normalizing_func, xticklabels=xticklabels, cmap=custom_map, black=True, levels=True)
def print_smooth_levels_c10(experiment_id): def normalizing_func(shade): shade /= metr.map_diameter(10) return shade def reversed_func(arg): arg *= metr.map_diameter(10) return arg [print(reversed_func(i)) for i in [0., 0.25, 0.5, 0.75, 1.]] custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) xticklabels = list(['0', '8.25', '16.5', '24.75', '33']) pr.print_2d(experiment_id, saveas="scores/map_smooth_levels_10", ms=16, values="levels", normalizing_func=normalizing_func, xticklabels=xticklabels, cmap=custom_map, black=True, levels=True)
def print_distance_from_idun(experiment_id, magic=1): def normalizing_func(shade): return shade def reversed_func(arg): arg *= 25 return arg [print(reversed_func(i)) for i in [0., 0.25, 0.5, 0.75, 1.]] custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) xticklabels = list(['0', '6.25', '12.5', '18.75', '25+']) pr.print_2d(experiment_id, saveas="distances/map_distance_from_idun", ms=16, values='idun', magic=magic, normalizing_func=normalizing_func, xticklabels=xticklabels, cmap=custom_map, black=True)
def print_condorcet(experiment_id, magic=1): def normalizing_func(shade): shade /= 7 return shade custom_map = pr.custom_div_cmap(colors=[(1, 0.8, 0), (0.95, 0.7, 0), (1, 0.5, 0), (1, 0, 0), (0.85, 0, 0.75), (0.625, 0, 0.57), (0.4, 0, 0.4), (0, 0, 0)], num_colors=8) ticks = [i / 8 + 1 / 16 for i in range(8)] print(ticks) xticklabels = list(['0', '1', '2', '3', '4', '5', '6', '7']) pr.print_2d(experiment_id, saveas="distances/map_condorcet", values='map_10', magic=magic, normalizing_func=normalizing_func, xticklabels=xticklabels, cmap=custom_map, tex=True, ms=12, ticks=ticks)
def print_distance_from_guardian(experiment_id, guradian, magic=1): def normalizing_func(shade): shade /= 100 """ if shade > 300: shade = 1 elif shade > 200: shade = 0.75 elif shade > 100: shade = 0.5 elif shade > 0: shade = 0.25 else: shade = 0 """ return shade def reversed_func(arg): arg *= 25 return arg [print(reversed_func(i)) for i in [0., 0.25, 0.5, 0.75, 1.]] custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) xticklabels = list(['0', '6.25', '12.5', '18.75', '25+']) pr.print_2d(experiment_id, saveas="distances/map_distance_from_" + guradian, ms=16, values=guradian, magic=magic, normalizing_func=normalizing_func, xticklabels=xticklabels, cmap=custom_map, black=True, levels=True)
def print_highest_dodgson_time(): # log scale. def normalizing_func(shade): shade /= 600 return shade def reversed_func(arg): return arg * 600 def marker_func(shade): if shade == 0: return 'x' return "o" [print(reversed_func(i)) for i in [0.25, 0.5, 0.75, 1.]] experiment_id = "testbed_100_100" #custom_map = mo.custom_div_cmap(colors=["lightgreen", "yellow", "orange", "red", "black"]) custom_map = pr.custom_div_cmap( colors=["bisque", "orange", "red", "purple", "black"]) custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) #custom_map = mo.custom_div_cmap(colors=["#ffe4ff", "purple"]) xticklabels = list(['0', '150', '300', '400', '600+']) pr.print_2d(experiment_id, mask=True, saveas="highest_dodgson_time", ms=16, values="highest_dodgson_time", normalizing_func=normalizing_func, xticklabels=xticklabels, marker_func=marker_func, cmap=custom_map, tex=True, black=True)
def print_highest_borda(experiment_id): def normalizing_func(shade): shade -= 5000. shade /= 4900. shade = 1. - shade return shade def reversed_func(arg): arg = 1. - arg arg *= 4900 arg += 5000 return arg def marker_func(shade): if shade == 0: return 'x' return "o" #[print(reversed_func(i)) for i in [0.25, 0.5, 0.75, 1.]] custom_map = pr.custom_div_cmap( colors=["lightgreen", "yellow", "orange", "red", "black"]) #custom_map = mo.custom_div_cmap(colors=["yellow", "orange", "red", "purple", "blue"]) xticklabels = list(['9900', '8675', '7450', '6225', '5000']) pr.print_2d(experiment_id, mask=True, saveas="highest_borda", ms=16, values="highest_borda", normalizing_func=normalizing_func, xticklabels=xticklabels, marker_func=marker_func, cmap=custom_map, tex=True, black=True)
def print_2d(experiment_id, **kwargs): pr.print_2d(experiment_id, **kwargs)
def print_main_map(): experiment_id = "testbed_100_100" pr.print_2d(experiment_id, mask=True, saveas="main_map", ms=16, tex=True)