SF.net SVN: matplotlib:[5856] trunk/matplotlib/unit/memleak_transforms.py

[<ef...@us...>]

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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