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attempt to keep position and orientation of problem with no fixes closest to prototype

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This commit is contained in:
kwikrick 2012-08-25 22:29:03 +00:00
parent 53d95d4a34
commit a1d5cc0187
3 changed files with 41 additions and 19 deletions
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16
geosolver/clsolver.py
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@ -12,7 +12,7 @@ from multimethod import MultiVariable, MultiMethod
from cluster import *
from configuration import Configuration
from gmatch import gmatch
from method import OrMethod
from method import OrMethod,SetMethod
from incremental import MutableSet,Union,Filter
# --------------------------------------------------
@ -521,8 +521,10 @@ class ClusterSolver(Notifier):
diag_print("keep top-level: "+str(cluster),"clsolver")
# add method to determine root-variable
self._add_root_method(merge.input_clusters(),merge.outputs()[0])
if hasattr(merge,"noremove") and merge.noremove == True:
self._add_root_false(merge.outputs()[0])
else:
self._add_root_method(merge.input_clusters(),merge.outputs()[0])
# add solution selection methods, only if information increasing
if infinc:
output2 = self._add_prototype_selector(merge)
@ -542,6 +544,14 @@ class ClusterSolver(Notifier):
# make sure its deleted when cluster is deleted
self._add_dependency(outcluster, method)
def _add_root_false(self,outcluster):
outroot = rootname(outcluster)
method = SetMethod(outroot, False)
# add method
self._add_method(method)
# make sure its deleted when cluster is deleted
self._add_dependency(outcluster, method)
# -- removing objects

24
geosolver/geometric.py
View File

@ -119,7 +119,7 @@ class GeometricProblem (Notifier, Listener):
return self.has_variable(variable)
def set_point(self, variable, prototype):
"""deprictaed - use set_prototype"""
"""depricated - use set_prototype"""
return self.set_prototype(variable, prototype)
def get_point(self, variable):
@ -326,6 +326,12 @@ class GeometricSolver (Listener):
# add constraints
toadd = set(self.cg.constraints())
# add coincidences first. Prevents re-mapping of primitves and re-solving of problem
for con in list(toadd):
if isinstance(con, CoincidenceConstraint):
self._add_constraint(con)
toadd.remove(con)
# add selection constraints first. Prevents re-evaluation
for con in list(toadd):
if isinstance(con, SelectionConstraint):
@ -649,11 +655,17 @@ class GeometricSolver (Listener):
v0 = vars[0]
v1 = vars[1]
dist = con.get_parameter()
p0 = vector.vector([0.0,0.0])
p1 = vector.vector([dist,0.0])
if self.dimension == 3:
p0.append(0.0)
p1.append(0.0)
#p0 = vector.vector([0.0,0.0])
#p1 = vector.vector([dist,0.0])
# use prototype to orient rigid - minimize difference solution and prototype
p0 = self.problem.get_prototype(v0)
v = self.problem.get_prototype(v1) - p0
if vector.norm(v) != 0:
v = v / vector.norm(v)
else:
v = vector.vector([0.0 for i in range(self.dimension)])
v[0] = 1.0
p1 = p0+v*dist
conf = Configuration({v0:p0,v1:p1})
self.dr.set(rig, [conf])
assert con.satisfied(conf.map)

20
test/test_3d.py
View File

@ -357,19 +357,19 @@ def selection_problem():
def test3d():
#diag_select("clsolver")
test(double_tetrahedron_problem())
test(ada_tetrahedron_problem())
test(double_banana_problem())
test(double_banana_plus_one_problem())
test(random_triangular_problem_3D(10,10.0,0.0,0.5))
test(random_distance_problem_3D(10,1.0,0.0))
#test(double_tetrahedron_problem())
#test(ada_tetrahedron_problem())
#test(double_banana_problem())
#test(double_banana_plus_one_problem())
#test(random_triangular_problem_3D(10,10.0,0.0,0.5))
#test(random_distance_problem_3D(10,1.0,0.0))
test(fix1_problem_3d())
test(fix2_problem_3d())
test(fix3_problem_3d())
test(selection_problem())
selection_test()
test(overconstrained_tetra())
test(diamond_3d())
#test(selection_problem())
#selection_test()
#test(overconstrained_tetra())
#test(diamond_3d())
if __name__ == "__main__":
test3d()