def migration(self):
s = 0
for x in range(0, settings.worldx):
for y in range(0, settings.worldy):
my_sol = self.map[x][y].pop.standard_of_living
best_neighbor = [x, y, my_sol]
neighbors = []
for i in range(-1*settings.migration_range, settings.migration_range):
for j in range(-1*settings.migration_range, settings.migration_range):
neighbors.append([x+i, y+j, -9999])
for n, neighbor in enumerate(neighbors):
if neighbor[0] >= 0 and neighbor[0]< settings.worldx and neighbor[1] >= 0 and neighbor[1] < settings.worldy:
nx = neighbor[0]
ny = neighbor[1]
neighbors[n][2] = self.map[nx][ny].pop.standard_of_living * random.random()*settings.migration_randomness - settings.migration_randomness * 0.5
if neighbors[n][2] > best_neighbor[2]:
best_neighbor = neighbors[n]
sol_diff = best_neighbor[2] - my_sol
if sol_diff > 0.0001:
n = settings.migration_coefficient * sol_diff / (my_sol + best_neighbor[2]) * self.map[x][y].pop.n
s += n
self.migrate_tiles([x, y], [best_neighbor[0], best_neighbor[1]], n)
print str(s)+" MIGRATING"
print "TOTAL POP: "+str(world_queries.total_pop())
def migration(self):
s = 0
for x in range(0, settings.worldx):
for y in range(0, settings.worldy):
my_sol = self.map[x][y].pop.standard_of_living
best_neighbor = [x, y, my_sol]
neighbors = []
for i in range(-1 * settings.migration_range,
settings.migration_range):
for j in range(-1 * settings.migration_range,
settings.migration_range):
neighbors.append([x + i, y + j, -9999])
for n, neighbor in enumerate(neighbors):
if neighbor[0] >= 0 and neighbor[
0] < settings.worldx and neighbor[
1] >= 0 and neighbor[1] < settings.worldy:
nx = neighbor[0]
ny = neighbor[1]
neighbors[n][2] = self.map[nx][
ny].pop.standard_of_living * random.random(
) * settings.migration_randomness - settings.migration_randomness * 0.5
if neighbors[n][2] > best_neighbor[2]:
best_neighbor = neighbors[n]
sol_diff = best_neighbor[2] - my_sol
if sol_diff > 0.0001:
n = settings.migration_coefficient * sol_diff / (
my_sol + best_neighbor[2]) * self.map[x][y].pop.n
s += n
self.migrate_tiles([x, y],
[best_neighbor[0], best_neighbor[1]], n)
print str(s) + " MIGRATING"
print "TOTAL POP: " + str(world_queries.total_pop())
def world():
d = world_queries.total_pop()
return render_response(d)
def world():
d = world_queries.total_pop()
return render_response(d)
