def _get_tree_line(self, wall, verts, indices):
v1, v2 = wall
# We want to draw back to front, so larger y value first
if v1.y < v2.y:
v1, v2 = v2, v1
Dx, Dy = v2.x - v1.x, v2.y - v1.y
sparsity = 20.0
density = sqrt(distance_squared(v1, v2)) / sparsity
if not density:
return
dy, dx = Dy / density, Dx / density
x, y = v1
x_going_right = (dx > 0)
while y > v2.y and ((x < v2.x) == x_going_right):
jitter = gauss(0, 0.25)
indices.extend(self._triangle_indices(len(verts)))
verts.extend(
self._mesh_box(
self._choose_tex(),
x + jitter * dy,
y + jitter * dx,
scale=0.3
)
)
x, y = x + dx, y + dy
def __init__(self, margin=60, dims=WINDOW_SIZE):
self.dims = Size(*dims)
self.min_distance = sum(dims) / 18
self.margin = margin
points = [
Coords(floor(x) + self.margin, floor(y) + self.margin) for x, y in
sample_poisson_uniform(self.dims.w - self.margin * 2,
self.dims.h - self.margin * 2,
self.min_distance,
# Sample points for Poisson, arbitrary
30)
]
self.graph = nx.Graph()
self.graph.add_nodes_from(points)
for triangle in computeDelaunayTriangulation(points):
self.graph.add_edges_from(chain(*[
[(points[firstIndex], points[secondIndex]),
(points[secondIndex], points[firstIndex])]
for firstIndex, secondIndex in combinations(triangle, 2)
]))
wall_crossings, self.wall_dict = self.computeWalls()
self.walls = [cross.wall for cross in wall_crossings]
self.removeMultiWallEdges()
self.addCrossings(wall_crossings)
# can't use edges_iter here since we're modifying it
dist_squared = self.min_distance ** 2
for v1, v2, attrs in self.graph.edges(data=True):
if distance_squared(v1, v2) > 2 * dist_squared:
self.graph.remove_edge(v1, v2)
if not nx.is_connected(self.graph):
self.graph.add_edge(v1, v2, attrs)