The script below reports stats on the current tree (starting from the
level of the currently selected node on down).
For example, for leoPyRef.leo:
@shadow-test: 25
@thin: 33
@shadow-test-lax: 2
@@test: 18
@test: 486
@suite: 8
@@@test: 6
@@first: 1
(list truncated for brevity)
and then
ALL
avgbodychrs: 4375
collapsed: 1514
bodychrs: 3183454
visible: 7
headchrs: 127984
avgheadchrs: 170
nodes: 6360
@@button (7)
avgbodychrs: 1391
collapsed: 4
bodychrs: 10595
headchrs: 450
avgheadchrs: 86
nodes: 26
@thin (33)
avgbodychrs: 7184
collapsed: 1160
bodychrs: 2787902
headchrs: 101789
avgheadchrs: 185
nodes: 4986
etc. etc.
I wrote it because I also am finding the qt GUI sluggish, I suspect
part of the issue is hardware
*-cpu
product: AMD Athlon(tm) XP 1800+
size: 1500MHz
width: 32 bits
clock: 66MHz
description: L1 cache
size: 128KiB
description: L2 cache
size: 256KiB
*-memory
size: 1009MiB
not the speediest.
Anyway, the script is kind of pointless for evaluating qt because
anyone can test against leoPyRef or similar, but might be useful for
other things, here it is:
from collections import defaultdict
dat = defaultdict(lambda: defaultdict(lambda: 0))
def treestat(dat, p, at, exp):
hs = p.headString()
bs = p.bodyString()
if hs.strip().startswith('@'):
at = hs.split(None,1)[0]
dat[None][at] += 1
for i in dat['ALL'], dat[at]:
i['headchrs'] += len(hs)
i['bodychrs'] += len(bs)
i['nodes'] += 1
i['avgheadchrs'] += len(hs) / float(i['nodes'])
i['avgbodychrs'] += len(bs) / float(i['nodes'])
if exp:
i['visible'] += 1
if p.hasChildren():
if p.isExpanded():
i['expanded'] += 1
else:
i['collapsed'] += 1
for child in p.children_iter():
treestat(dat, child, at, exp and p.isExpanded())
for x in p.self_and_siblings_iter():
treestat(dat, x, 'PLAIN', True)
print
for at in dat[None]:
print '% 15s: %d' % (at, dat[None][at])
for at in dat:
if at is None: continue
if at.startswith('@'):
print at, '(%d)' % dat[None][at]
else:
print at
for k in dat[at]:
print ' % 15s: %d' % (k, dat[at][k])
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