Revision: 5856
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=5856&view=rev
Author: efiring
Date: 2008-07-24 22:37:03 +0000 (Thu, 24 Jul 2008)
Log Message:
-----------
Deleted obsolete memleak_transforms.py
Removed Paths:
-------------
trunk/matplotlib/unit/memleak_transforms.py
Deleted: trunk/matplotlib/unit/memleak_transforms.py
===================================================================
--- trunk/matplotlib/unit/memleak_transforms.py 2008-07-24 22:35:06 UTC (rev
5855)
+++ trunk/matplotlib/unit/memleak_transforms.py 2008-07-24 22:37:03 UTC (rev
5856)
@@ -1,73 +0,0 @@
-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))
-
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