groups_lo = [
group.Group("a", 320 * 3, .1),
group.Group("a", 640 * 3, .1, 1),
group.Group("b", 320 * 3, .2)
]
groups_hi = [
group.Group("a", 640 * 3, .1),
group.Group("a", 320 * 3, .1, 1),
group.Group("b", 320 * 3, .2)
]
groups_all = [group.Group("a", 960 * 3, .1), group.Group("b", 320 * 3, .2)]
city_no = city.City(groups_no, 16)
city_no.generate_uniform()
city_no_seg = city.City(groups_no, 16)
city_no_seg.generate_uniform_seg()
city_lo = city.City(groups_lo, 16)
city_lo.generate_mixed([[("a", 0)], [("a", 1), "b"]])
city_lo_seg = city.City(groups_lo, 16)
city_lo_seg.generate_mixed_seg([[("a", 0)], [("a", 1), "b"]])
city_hi = city.City(groups_hi, 16)
city_hi.generate_mixed([[("a", 0)], [("a", 1), "b"]])
city_hi_seg = city.City(groups_hi, 16)
from massey import analyzer
from massey import group
from massey import city
from massey import visualizer
if __name__ == "__main__":
groups0 = [group.Group("humans", 20, .5), group.Group("elves", 20, 0)]
groups1 = [
group.Group("humans", 1800, .3),
group.Group("elves", 600, 0),
group.Group("orcs", 1200, .5)
]
city0 = city.City(groups0, 5)
city0.generate_segregated_seg()
print(analyzer.entropy_index(city0, True))
# print(analyzer.entropy_score_city(city0, True))
# print(city0.generate_segregated())
city1 = city.City(groups1, 120)
# print(city1.generate_uniform())
# print(city1.generate_segregated())
# print("")
# print(city1.generate_mixed([["humans"], ["elves", "orcs"]]))
# print(city1.generate_mixed_seg([["humans"], ["elves", "orcs"]]))
city1.generate_mixed_seg([["humans"], ["elves", "orcs"]])