def divide_edges(gph, divs=4):
ret = []
t_vals = (Interval() / divs)[1:]
for spt, epts in gph.edges.items():
for ept in epts:
ret.extend([Point.interpolate(spt, ept, t) for t in t_vals])
return ret
"""
SpatialGraph Inflation Routine
Constructs and successively divides a SpatialGraph, reconstructing its edges based on proximity at each step.
"""
point_cloud = [Point.random(Interval(0, 10)) for n in range(4)]
graph = SpatialGraph(point_cloud)
add_proximity_connections(graph)
count = 3
for n in range(count):
inflated_graph = SpatialGraph(graph.nodes)
for pt in divide_edges(graph):
inflated_graph.add_node(pt)
add_proximity_connections(inflated_graph)
graph = inflated_graph
for spt, epts in graph.edges.items():
outie.put([Segment(spt, ept) for ept in epts])
outie.draw()
import decodes
from decodes.core import *
from decodes.extensions.graph import SpatialGraph
edges = [[Point(), Point(0, 1)], [Point(0, 1), Point(1, 1)],
[Point(1, 1), Point()]]
gph = SpatialGraph([Point()])
for spt, ept in edges:
gph.add_edge(spt, ept)
print gph
import decodes
from decodes.core import *
from decodes.extensions.graph import SpatialGraph
edges = [
[Point(),Point(0,1)],
[Point(0,1),Point(1,1)],
[Point(1,1),Point()]
]
gph = SpatialGraph([Point()])
for spt,ept in edges:
gph.add_edge(spt,ept)
print gph
ret = []
t_vals = (Interval() / divs)[1:]
for spt, epts in gph.edges.items():
for ept in epts:
ret.extend([Point.interpolate(spt, ept, t) for t in t_vals])
return ret
"""
SpatialGraph Inflation Routine
Constructs and successively divides a SpatialGraph, reconstructing its edges based on proximity at each step.
"""
point_cloud = [Point.random(Interval(0, 10)) for n in range(4)]
graph = SpatialGraph(point_cloud)
add_proximity_connections(graph)
count = 3
for n in range(count):
inflated_graph = SpatialGraph(graph.nodes)
for pt in divide_edges(graph):
inflated_graph.add_node(pt)
add_proximity_connections(inflated_graph)
graph = inflated_graph
for spt, epts in graph.edges.items():
outie.put([Segment(spt, ept) for ept in epts])
outie.draw()
