def generateRandom(self):
## first do as if File->New was selected
self.new()
## then show randomProblemDialog
#ui = Ui_randomProblemDialog()
#dialog = QtDialog()
## create random problem
(numpoints, ratio, size, rounding) = (10, 0.0, 100.0, 0.0)
problem = randomproblem.random_triangular_problem_3D(numpoints, size, rounding, ratio)
prototypeManager = PrototypeManager()
prototypeManager.setProblem(problem)
self.viewportManager.updateViewports()
def stats_solving(minsize, maxsize, repeats):
print "times for solving problems from scratch"
print "size \t # \t time \t result"
for size in range(minsize, maxsize + 1):
for i in range(1, repeats + 1):
problem = random_triangular_problem_3D(size, 10.0, 0.0, 0.0)
t1 = time()
solver = GeometricSolver(problem)
result = solver.get_status()
t2 = time()
t = t2 - t1
print size, "\t", i, "\t", t, "\t", result
def generateRandom(self):
## first do as if File->New was selected
self.new()
## then show randomProblemDialog
#ui = Ui_randomProblemDialog()
#dialog = QtDialog()
## create random problem
(numpoints, ratio, size, rounding) = (10, 0.0, 100.0, 0.0)
problem = randomproblem.random_triangular_problem_3D(numpoints, size, rounding, ratio)
prototypeManager = PrototypeManager()
prototypeManager.setProblem(problem)
self.viewportManager.updateViewports()
def stats_solving(minsize, maxsize, repeats):
print "times for solving problems from scratch"
print "size \t # \t time \t result"
for size in range(minsize,maxsize+1):
for i in range(1,repeats+1):
problem = random_triangular_problem_3D(size,10.0,0.0,0.0)
t1 = time()
solver = GeometricSolver(problem)
result = solver.get_status()
t2 = time()
t = t2-t1
print size,"\t",i,"\t",t,"\t",result
def stats_parametric(minsize, maxsize, repeats):
#diag_select("clsolver.remove")
print "times for parameteric updates (one constraint parameter)"
print "size \t # \t time \t result"
for size in range(minsize, maxsize + 1):
for i in range(1, repeats + 1):
problem = random_triangular_problem_3D(size, 10.0, 0.0, 0.0)
solver = GeometricSolver(problem)
constraint = random.choice(problem.cg.constraints())
t1 = time()
constraint.set_parameter(constraint.get_parameter())
result = solver.get_status()
t2 = time()
t = t2 - t1
print size, "\t", i, "\t", t, "\t", result
def stats_parametric(minsize, maxsize, repeats):
#diag_select("clsolver.remove")
print "times for parameteric updates (one constraint parameter)"
print "size \t # \t time \t result"
for size in range(minsize,maxsize+1):
for i in range(1,repeats+1):
problem = random_triangular_problem_3D(size,10.0,0.0,0.0)
solver = GeometricSolver(problem)
constraint = random.choice(problem.cg.constraints())
t1 = time()
constraint.set_parameter(constraint.get_parameter())
result = solver.get_status()
t2 = time()
t = t2-t1
print size,"\t",i,"\t",t,"\t",result
def stats_incremental(minsize, maxsize, repeats):
#diag_select("clsolver.remove")
print "times for incremental re-solving (one constraint removed and re-added)"
print "size \t # \t time \t result"
for size in range(minsize, maxsize + 1):
for i in range(1, repeats + 1):
problem = random_triangular_problem_3D(size, 10.0, 0.0, 0.0)
solver = GeometricSolver(problem)
t1 = time()
constraint = random.choice(problem.cg.constraints())
problem.rem_constraint(constraint)
problem.add_constraint(constraint)
result = solver.get_status()
t2 = time()
t = t2 - t1
print size, "\t", i, "\t", t, "\t", result
def stats_incremental(minsize, maxsize, repeats):
#diag_select("clsolver.remove")
print "times for incremental re-solving (one constraint removed and re-added)"
print "size \t # \t time \t result"
for size in range(minsize,maxsize+1):
for i in range(1,repeats+1):
problem = random_triangular_problem_3D(size,10.0,0.0,0.0)
solver = GeometricSolver(problem)
t1 = time()
constraint = random.choice(problem.cg.constraints())
problem.rem_constraint(constraint)
problem.add_constraint(constraint)
result = solver.get_status()
t2 = time()
t = t2-t1
print size,"\t",i,"\t",t,"\t",result