def test_rectangleMesh():
plane = pgf.plane(pgf.var_vec3((0., 0., 0.)), pgf.var_vec3((1., 1., 0.)))
box = pgf.box2(pgf.var_vec2((0., 0.)), pgf.var_vec2((15., 12.)))
edgeLn = pgf.var_float(1.)
rect = pgf.rectangleMesh(plane, box, edgeLn)
area = pgf.area(rect)
nfaces = pgf.numFaces(rect)
nverts = pgf.numVertices(rect)
assert 360 == pgf.read(nfaces)
assert 208 == pgf.read(nverts)
assert tu.equalf(180., pgf.read(area))
def test_cachedOffsetDataRegression():
# This tests for a regression (lack of) happened while working on PR # 53.
pt = pgf.var_vec3((0., 0., 0.))
norm = pgf.var_vec3((0., 0., 1.))
plane = pgf.plane(pt, norm)
minpt = pgf.var_vec3((-.5, -.5, 0.))
maxpt = pgf.var_vec3((.5, .5, 0.))
box2 = pgf.box2(pgf.var_vec2((-.5, -.5)), pgf.var_vec2((.5, .5)))
box3 = pgf.box3(minpt, maxpt)
npts = pgf.var_int(4)
cloud = pgf.randomPointsInBox(box3, npts)
edgeLen = pgf.var_float(1)
rect = pgf.rectangleMesh(plane, box2, edgeLen)
distances = pgf.distance(pgf.graft(pgf.vertices(rect)), cloud)
pdists = pgf.read(pgf.flatten(distances))
assert len(pdists) == 16
import pygalfunc as pgf
import pygalview as pgv
pt = pgf.var_vec3((0., 0., 0.))
norm = pgf.var_vec3((0., 0., 1.))
plane = pgf.plane(pt, norm)
minpt = pgf.var_vec3((-.5, -.5, 0.))
maxpt = pgf.var_vec3((.5, .5, 0.))
box2 = pgf.box2(pgf.var_vec2((-.5, -.5)), pgf.var_vec2((.5, .5)))
box3 = pgf.box3(minpt, maxpt)
npts = pgv.slideri32("Point count", 5, 50, 25)
cloud = pgf.randomPointsInBox(box3, npts)
edgeLen = pgf.var_float(.01)
rect = pgf.rectangleMesh(plane, box2, edgeLen)
distances = pgf.distance(pgf.graft(pgf.vertices(rect)), cloud)
sortedDists = pgf.sort(distances, distances)
maxDist = pgf.listItem(sortedDists, pgf.sub(pgf.listLength(sortedDists), pgf.var_int(1)))
scheme = pgf.var_vec3([
(0., 0., 1.),
(0., 1., 0.),
(1., 1., 0.),
(1., 0., 0.)
])
colors = pgf.mapValueToColor(maxDist, pgf.var_vec2((.5, 1.2)), scheme)
colored = pgf.meshWithVertexColors(rect, colors)
circ, *_ = pgf.boundingCircle(cloud)