def add_world_topography(world_id, global_state_dict, global_lock):
numeric_seed = int(world_id, 16)
w = world_one.generate_world(seed=numeric_seed, total_cells_desired=3000)
t = geography.topography_from_geography(geography.geography_from_everett_world(w))
# for a in range(30):
# logger.debug(u"Waiting for {} seconds...".format(a))
# time.sleep(1)
global_lock.acquire()
global_state_dict[world_id].topography = t
global_state_dict[world_id].everett = w
global_lock.release()
import matplotlib.pyplot as plt
from everett.features.climate import whittaker
from everett.features import terrain
from everett.worldgenerators import world_one
if __name__ == '__main__':
def print_node(n):
if n is not None:
print(u"Node at: {}".format(n.location))
print(u"Biome: {}".format(n.biome))
print(u"Node has neighbours: {}".format(", ".join([str(neighbour.location) for neighbour in n.neighbours])))
print(u"Downwind neighbour: {}".format(n.downwind_neighbour.location if n.downwind_neighbour.location is not None else None))
print(u"Features: {}".format(n.features))
w = world_one.generate_world()
interrogation = ""
n = None
n_list = []
while interrogation != "quit":
interrogation = raw_input("Query the world: ")
if interrogation == "current cell":
print_node(n)
elif interrogation == "random cell":
print(random.choice(w.all_cells))
elif interrogation == "random node":
n = random.choice(w.all_boundary_nodes)
print_node(n)
elif "," in interrogation:
try:
