suzanne.soy/geosolver
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made performance test a bit more configurable

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This commit is contained in:
kwikrick 2012-08-23 20:15:46 +00:00
parent 6f4ebe93d4
commit 6b26a009f1
1 changed files with 21 additions and 23 deletions
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44
test/test_performance.py
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@ -14,10 +14,10 @@ from geosolver.intersections import distance_2p, angle_3p
from time import time from time import time
# create statistics for solving time # create statistics for solving time
def stats_solving(): def stats_solving(minsize, maxsize, repeats):
print "size \t # \t time \t result" print "size \t # \t time \t result"
for size in range(4,31): for size in range(minsize,maxsize+1):
for i in range(1,10): for i in range(1,repeats+1):
problem = random_triangular_problem_3D(size,10.0,0.0,0.0) problem = random_triangular_problem_3D(size,10.0,0.0,0.0)
t1 = time() t1 = time()
solver = GeometricSolver(problem) solver = GeometricSolver(problem)
@ -27,11 +27,11 @@ def stats_solving():
print size,"\t",i,"\t",t,"\t",result print size,"\t",i,"\t",t,"\t",result
# create statistics for incremental solving time # create statistics for incremental solving time
def stats_incremental(): def stats_incremental(minsize, maxsize, repeats):
#diag_select("clsolver.remove") #diag_select("clsolver.remove")
print "size \t # \t time \t result" print "size \t # \t time \t result"
for size in range(4,31): for size in range(minsize,maxsize+1):
for i in range(1,10): for i in range(1,repeats+1):
problem = random_triangular_problem_3D(size,10.0,0.0,0.0) problem = random_triangular_problem_3D(size,10.0,0.0,0.0)
solver = GeometricSolver(problem) solver = GeometricSolver(problem)
t1 = time() t1 = time()
@ -44,33 +44,28 @@ def stats_incremental():
print size,"\t",i,"\t",t,"\t",result print size,"\t",i,"\t",t,"\t",result
# create statistics for parametric change # create statistics for parametric change
def stats_parametric_incremental(): def stats_parametric_incremental(minsize, maxsize, repeats):
#diag_select("clsolver.remove") #diag_select("clsolver.remove")
print "size \t # \t time \t result" print "size \t # \t time \t result"
for size in range(4,31): for size in range(minsize,maxsize+1):
for i in range(1,10): for i in range(1,repeats+1):
problem = random_triangular_problem_3D(size,10.0,0.0,0.0) problem = random_triangular_problem_3D(size,10.0,0.0,0.0)
solver = GeometricSolver(problem) solver = GeometricSolver(problem)
constraint = random.choice(problem.cg.constraints()) constraint = random.choice(problem.cg.constraints())
#problem.rem_constraint(constraint)
#problem.add_constraint(constraint)
#problem.rem_constraint(constraint)
#problem.add_constraint(constraint)
t1 = time() t1 = time()
#problem.rem_constraint(constraint) problem.rem_constraint(constraint)
#problem.add_constraint(constraint) problem.add_constraint(constraint)
#constraint.set_parameter(constraint.get_parameter())
result = solver.get_status() result = solver.get_status()
t2 = time() t2 = time()
t = t2-t1 t = t2-t1
print size,"\t",i,"\t",t,"\t",result print size,"\t",i,"\t",t,"\t",result
# create statistics for parametric change # create statistics for parametric change
def stats_parametric(): def stats_parametric(minsize, maxsize, repeats):
#diag_select("clsolver.remove") #diag_select("clsolver.remove")
print "size \t # \t time \t result" print "size \t # \t time \t result"
for size in range(4,31): for size in range(minsize,maxsize+1):
for i in range(1,10): for i in range(1,repeats+1):
problem = random_triangular_problem_3D(size,10.0,0.0,0.0) problem = random_triangular_problem_3D(size,10.0,0.0,0.0)
solver = GeometricSolver(problem) solver = GeometricSolver(problem)
constraint = random.choice(problem.cg.constraints()) constraint = random.choice(problem.cg.constraints())
@ -82,10 +77,13 @@ def stats_parametric():
print size,"\t",i,"\t",t,"\t",result print size,"\t",i,"\t",t,"\t",result
def runstats(): def runstats():
stats_solving() minsize = 4
stats_incremental() maxsize = 10
stats_parametric_incremental() repeats = 1
stats_parametric() stats_solving(minsize, maxsize, repeats)
stats_incremental(minsize, maxsize, repeats)
stats_parametric_incremental(minsize, maxsize, repeats)
stats_parametric(minsize, maxsize, repeats)
if __name__ == "__main__": if __name__ == "__main__":
runstats() runstats()