def test_filter_nodes(self):
criteriaA = nodetools.get_criteria_func([(self.complete_feature_keys, operator.lt, 0.5)], True)
criteriaB = nodetools.get_criteria_func([(self.sparse_feature_keys, operator.ge, 0.3)], True)
filtered_nodes = nodetools.filter_nodes_by_criteria(self.nodes, [criteriaA, criteriaB], True)
# Has some nodes
self.assertGreater(len(filtered_nodes), 0)
# Does not have all nodes
self.assertGreater(len(filtered_nodes), 0)
def refine_coastlines(seed, world):
# Want to find all coastal nodes with an altitude between -0.01 and 0.01, and use
# the latitude and longtiude of these points as locations to refine. This increases coastal
# smoothness. Warning! Reset random.seed before both altitude generation routines, or
# the extra cells we just generated will no longer be on the coast.
coastal_test = nodetools.get_criteria_func([
(["terrain", "altitude"], operator.lt, 0.02),
(["terrain", "altitude"], operator.gt, -0.02),
])
locations_to_refine = map(lambda n: (n.latitude, n.longitude),
filter(coastal_test, world.all_boundary_nodes)
)
print("Coastal locations to refine: %d" % len(locations_to_refine))
world.refine_voronoi_nodes_around_locations(locations_to_refine)
random.seed(seed)
weight = 1
nodetools.set_all_nodes_feature_with_funcs(nodes=world.all_boundary_nodes,
feature=["terrain", "altitude"],
valuators=[(nodeval.get_simplex_noise_valuator(seed), weight)],
criteria_funcs=[])
