Re: weblogsping.py error handling patch

> Correct me if I'm wrong, but I think the email at that link 
> is talking about type checking versus using a try/except 
> block as opposed to using a try/except block versus not using one.

It is, which is why I included my code...

> What version of Python are you using?  I'm using Python 2.3 
> on an ibook G4 (800 mhz) with Mac OS 10.3 and I get:
>     10000 took 7.8344 seconds
>     10000 took 10.9729 seconds

Pythonwin on a Dell PentiumD (2.8 GHz dual-core).

On my OSX box (Mac Mini, Dual Core):
10000 took 1.7110 seconds
10000 took 2.4135 seconds

(The 10 times as many run was:
 10000 took 17.0197 seconds
 10000 took 23.6113 seconds
 to the surprise of no-one.)

Either way, it's all close to the same factor of slowness:
>>> 10.9729/7.8344
1.4006050239967325
>>> 1.7450/1.2830
1.3600935307872177
>>> 13.6610/9.5540
1.4298723047938036

So raising an exception is approximately 1.4 times slower than
doing an addition...  I still don't think that's too slow.

> with the code you posted.  That seems pretty significant to 
> me.  We use callbacks in a few places where the runtime is 
> O(n) where n is the number of blog entries you have.  If you 
> have several plugins on the same callback, then that becomse 
> O(m * n) where m is the number of plugins and n is the number 
> of entries, though m is likely < 10.
> 
> Does that sound right?

I'ld buy your math, but I'ld love to see some actual numbers.  I've
got 280 posts, and 16 plugins, for a total of 4480.  Does anyone
have any better numbers?  Will, would you like to re-run my tests
with some more realistic values?  (Say 20 plugins, and 10,000
entries?  25 plugins and 5,000 entries?)

I guess my point is that even at 3 seconds, you're talking about
20 plugins and 500,000 entries.  So if it scales linearly you're
looking at a 0.06 second slowdown for 20 plugins and 10,000 entries;
0.75 seconds for 25 plugins and 10,000 entries; and so on...

Hmm, maybe what I'm trying to say is:
We should run some benchmarks before and after the change, and see
if the actual implementation is too slow.

Later,
Blake.

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