at compile time: use PBGetCatInfoSync() to get FInfo data in stead of
GetFInfo. The latter doesn't work for folders. The former does, at
least on OSX, and insofar the info makes sense for a folder.
setup.py (indirectly) script to build the standard dynamically loaded
modules, the errno module is being made static so it will always be
available.
Closes SF bug #591205 (needed on trunk only).
1) Do not attempt to exec a file which does not exist
just to find out what error the operating system
returns. This is an exploitable race on all platforms
that support symbolic links.
2) Immediately re-raise the exception if we get an
error other than errno.ENOENT or errno.ENOTDIR. This
may need to be adapted for other platforms.
(As a security issue, this should be considered for 2.1
and 2.2 as well as 2.3.)
where it was: it is really a configuration file, not a normal module.
By moving it into Mac/Lib we can now also store the location of bgen
itself in there, which is needed because bgen isn't installed.
on Windows. The test_sequence() ERROR is easily repaired if we're
willing to add an os.unlink() line to mhlib's updateline(). The
test_listfolders FAIL I gave up on -- I don't remember enough about Unix
link esoterica to recall why a link count of 2 is something a well-
written program should be keenly interested in <wink>.
Builder carbon NIB files from Python. As-is, I may need to twiddle a few
things as he donated this long ago.
Donovan is now one of the four people in the world who know how to drive
bgen!
- steer people away from installing with sudo
- warn that fink-installed software may cause trouble
- explain why you might want a framework build and point people to
Mac/OSX/README.
directly when no comparison function is specified. This saves a layer
of function call on every compare then. Measured speedups:
i 2**i *sort \sort /sort 3sort +sort %sort ~sort =sort !sort
15 32768 12.5% 0.0% 0.0% 100.0% 0.0% 50.0% 100.0% 100.0% -50.0%
16 65536 8.7% 0.0% 0.0% 0.0% 0.0% 0.0% 12.5% 0.0% 0.0%
17 131072 8.0% 25.0% 0.0% 25.0% 0.0% 14.3% 5.9% 0.0% 0.0%
18 262144 6.3% -10.0% 12.5% 11.1% 0.0% 6.3% 5.6% 12.5% 0.0%
19 524288 5.3% 5.9% 0.0% 5.6% 0.0% 5.9% 5.4% 0.0% 2.9%
20 1048576 5.3% 2.9% 2.9% 5.1% 2.8% 1.3% 5.9% 2.9% 4.2%
The best indicators are those that take significant time (larger i), and
where sort doesn't do very few compares (so *sort and ~sort benefit most
reliably). The large numbers are due to roundoff noise combined with
platform variability; e.g., the 14.3% speedup for %sort at i=17 reflects
a printed elapsed time of 0.18 seconds falling to 0.17, but a change in
the last digit isn't really meaningful (indeed, if it really took 0.175
seconds, one electron having a lazy nanosecond could shift it to either
value <wink>). Similarly the 25% at 3sort i=17 was a meaningless change
from 0.05 to 0.04. However, almost all the "meaningless changes" were
in the same direction, which is good. The before-and-after times for
*sort are clearest:
before after
0.18 0.16
0.25 0.23
0.54 0.50
1.18 1.11
2.57 2.44
5.58 5.30
