Show memleak_transforms.py syntax highlighted
import os, sys, time, gc
from matplotlib.numerix import array, asarray, alltrue
from matplotlib.numerix.mlab import rand
from matplotlib.transforms import Point, Bbox, Value, Affine
from matplotlib.transforms import multiply_affines
from matplotlib.transforms import Func, IDENTITY, LOG10, POLAR, FuncXY
from matplotlib.transforms import SeparableTransformation
from matplotlib.transforms import identity_transform, unit_bbox
from matplotlib.transforms import get_bbox_transform
from matplotlib.transforms import transform_bbox, inverse_transform_bbox
from matplotlib.transforms import bbox_all
from matplotlib.transforms import copy_bbox_transform, blend_xy_sep_transform
def report_memory(i):
pid = os.getpid()
if sys.platform=='sunos5':
command = 'ps -p %d -o rss,osz' % pid
else:
'ps -p %d -o rss,sz' % pid
a2 = os.popen(command).readlines()
print i, ' ', a2[1],
return int(a2[1].split()[1])
# make some random bbox transforms and test inversion
def rand_point():
xy = rand(2)
return Point( Value(xy[0]), Value(xy[1]) )
def rand_bbox():
ll = rand_point()
ur = rand_point()
return Bbox(ll, ur)
def rand_transform():
b1 = rand_bbox()
b2 = rand_bbox()
return get_bbox_transform(b1, b2)
class Line:
def __init__(self):
self._transform = identity_transform()
def set_transform(self, t):
self._transform = t
x, y = rand(2,10000)
indStart, indEnd = 30, 350
for i in range(indEnd):
for j in range(20):
l = Line()
t1 = rand_transform()
t2 = rand_transform()
trans = blend_xy_sep_transform( t1, t2)
l.set_transform(trans)
xt, yt = trans.numerix_x_y(x, y)
xytup = tuple(rand(2))
txytup = trans.xy_tup(xytup)
ixytup = trans.inverse_xy_tup(xytup)
seqt = trans.seq_xy_tups(zip(x,y))
gc.collect()
val = report_memory(i)
if i==indStart: start = val # wait a few cycles for memory usage to stabilize
end = val
print 'Average memory consumed per loop: %1.4fk bytes\n' % ((end-start)/float(indEnd-indStart))
See more files for this project here