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)
city_hi_seg.generate_mixed_seg([[("a", 0)], [("a", 1), "b"]])
city_all = city.City(groups_all, 16)
city_all.generate_segregated()
city_all_seg = city.City(groups_all, 16)
city_all_seg.generate_segregated_seg()
cities = [
city_no, city_no_seg, city_lo, city_lo_seg, city_hi, city_hi_seg,
city_all, city_all_seg
]
# cities = [city_no_seg, city_lo_seg, city_hi_seg, city_all_seg]
for c in cities:
print("{:.4f} {:.4f}".format(analyzer.entropy_index(c),
analyzer.entropy_index(c, True)))
# print(c.matrix)
visualizer.plot(c)
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"]])
# print(analyzer.entropy_index(city1, True))