def random_problem_2D(numpoints, radius=10.0, roundoff=0.0, angleratio=0.5):
"""Generate a random problem with given number of points, a roundoff
value for the prototype points, a radius for the cloud of prototype points
and a ratio of angle constraints over distance constraints"""
group = {}
problem = GeometricProblem(dimension=2)
i = 0
while i < numpoints:
aname = 'p' + str(i)
apoint = vector([
_round(random.uniform(-radius, radius), roundoff),
_round(random.uniform(-radius, radius), roundoff)
])
unique = True
for v in group:
p = group[v]
if tol_eq(apoint[0], p[0]) and tol_eq(apoint[1], p[1]):
unique = False
break
if unique:
problem.add_point(aname, apoint)
group[aname] = apoint
i = i + 1
#next
_constraint_group(problem, group, None, angleratio)
return problem
def random_distance_problem_3D(npoints, radius, roundoff):
"""creates a 3D problem with random distances"""
problem = GeometricProblem(dimension=3)
for i in range(npoints):
# add point
newvar = 'v' + str(i)
newpoint = vector([
_round(random.uniform(-radius, radius), roundoff),
_round(random.uniform(-radius, radius), roundoff),
_round(random.uniform(-radius, radius), roundoff)
])
sellist = list(problem.cg.variables())
problem.add_point(newvar, newpoint)
# add distance constraints
for j in range(min(3, len(sellist))):
index = random.randint(0, len(sellist) - 1)
var = sellist.pop(index)
point = problem.get_point(var)
dist = distance_2p(point, newpoint)
problem.add_constraint(DistanceConstraint(var, newvar, dist))
return problem
