def timeVoronoiSegs(Nmax, segtype=1):
far = 1
vd = ovd.VoronoiDiagram(far, int( math.floor( math.sqrt(2)*math.sqrt(Nmax) ) ) )
vd.reset_vertex_count()
print "waiting for ",Nmax," random segments..",
sys.stdout.flush()
t_before = time.time()
segs=[]
if segtype==1:
segs = ovdgenerators.randomSegments(far,Nmax,seed=1)
elif segtype==2:
segs = ovdgenerators.randomSegments2(far,Nmax,seed=1)
t_after = time.time()
print ".done in {0:.3f} seconds".format( (t_after - t_before) )
#print " first seg is ", segs[0]
id_list = []
t_before = time.time()
for s in segs:
segid=[]
segid.append( vd.addVertexSite( s[0] ) )
segid.append( vd.addVertexSite( s[1] ) )
id_list.append( segid )
t_after = time.time()
point_site_time = (t_after - t_before)
# insert linesegs
t_before = time.time()
for s in id_list:
vd.addLineSite( s[0], s[1] )
t_after = time.time()
line_site_time = (t_after - t_before)
return [point_site_time , line_site_time]
def timeVoronoiSegs(Nmax, segtype=1):
far = 1
vd = ovd.VoronoiDiagram(far,
int(math.floor(math.sqrt(2) * math.sqrt(Nmax))))
vd.reset_vertex_count()
print "waiting for ", Nmax, " random segments..",
sys.stdout.flush()
t_before = time.time()
segs = []
if segtype == 1:
segs = gens.randomSegments(far, Nmax, seed=1)
elif segtype == 2:
segs = gens.randomSegments2(far, Nmax, seed=1)
t_after = time.time()
print ".done in {0:.3f} seconds".format((t_after - t_before))
#print " first seg is ", segs[0]
id_list = []
t_before = time.time()
for s in segs:
segid = []
segid.append(vd.addVertexSite(s[0]))
segid.append(vd.addVertexSite(s[1]))
id_list.append(segid)
t_after = time.time()
point_site_time = (t_after - t_before)
# insert linesegs
t_before = time.time()
for s in id_list:
vd.addLineSite(s[0], s[1])
t_after = time.time()
line_site_time = (t_after - t_before)
return [point_site_time, line_site_time]
import openvoronoi as ovd
import time
import math
import sys
import pickle
import gzip
import ovdgenerators as gens
if __name__ == "__main__":
print ovd.version()
far = 1
Nmax = int(math.pow(2,10)) # number of line-segments to generate
print "waiting for ",Nmax," segments..",
sys.stdout.flush()
t_before = time.time()
segs = gens.randomSegments(far,Nmax)
t_after = time.time()
print ".done in {0:.3f} s.".format( t_after-t_before )
filename = "randomsegments_{0}.pickle.gz".format(Nmax)
pstring = pickle.dumps( segs, 2 ) # 2 is binary format
f = gzip.open(filename, 'wb')
f.write(pstring)
f.close()
print "PYTHON All DONE."
# Nmax = 256
# Nmax = 512
# Nmax = 1024
# Nmax = 2048
# Nmax = 4096
# Nmax = 8192
# Nmax = 16384
# Nmax = 32768
# 1024, 1.247sec, 398 SPLIT verts
linesegs = 1 # switch to turn on/off line-segments
print("waiting for %s segments.." % Nmax)
sys.stdout.flush()
t_before = time.time()
segs = gens.randomSegments(
far, Nmax) # uncomment this to generate segments on the fly
"""
filename = "../src/test/data/randomsegments_{0}.pickle.gz".format(Nmax) # or use this to load pre-computed segments
# (produced with lineseg_dataset_generator.py)
f = gzip.open(filename, 'rb')
pstring = f.read()
segs = pickle.loads( pstring )
f.close()
"""
"""
print "waiting for ",Nmax," segments..",
sys.stdout.flush()
t_before = time.time()
segs = gens.randomSegments2(1,Nmax,1)
"""
import openvoronoi as ovd
import time
import math
import sys
import pickle
import gzip
import ovdgenerators as gens
if __name__ == "__main__":
print(ovd.version())
far = 1
Nmax = int(math.pow(2, 10)) # number of line-segments to generate
print("waiting for %s segments.." % Nmax)
sys.stdout.flush()
t_before = time.time()
segs = gens.randomSegments(far, Nmax)
t_after = time.time()
print(".done in {0:.3f} s.".format(t_after - t_before))
filename = "randomsegments_{0}.pickle.gz".format(Nmax)
pstring = pickle.dumps(segs, 2) # 2 is binary format
f = gzip.open(filename, 'wb')
f.write(pstring)
f.close()
print("PYTHON All DONE.")
# Nmax = 256
# Nmax = 512
# Nmax = 1024
# Nmax = 2048
# Nmax = 4096
# Nmax = 8192
# Nmax = 16384
# Nmax = 32768
# 1024, 1.247sec, 398 SPLIT verts
linesegs = 1 # switch to turn on/off line-segments
print "waiting for ",Nmax," segments..",
sys.stdout.flush()
t_before = time.time()
segs = gens.randomSegments(far,Nmax) # uncomment this to generate segments on the fly
"""
filename = "../src/test/data/randomsegments_{0}.pickle.gz".format(Nmax) # or use this to load pre-computed segments
# (produced with lineseg_dataset_generator.py)
f = gzip.open(filename, 'rb')
pstring = f.read()
segs = pickle.loads( pstring )
f.close()
"""
"""
print "waiting for ",Nmax," segments..",
sys.stdout.flush()
t_before = time.time()
segs = gens.randomSegments2(1,Nmax,1)