On Mon, Sep 27, 2010 at 5:48 PM, Marco Gallotta ma...@gallotta.co.zawrote:
We received a grant from Google to reach 1,000 kids in South Africa
with our course in 2011. People have also shown interest in running
the course in Croatia, Poland and Egypt. We're also eyeing developing
African
Changes by Piet Delport [EMAIL PROTECTED]:
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keywords: +patch
Added file: http://bugs.python.org/file10060/reset_globs.patch
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Tracker [EMAIL PROTECTED]
http://bugs.python.org/issue2604
Piet Delport [EMAIL PROTECTED] added the comment:
Related: #643841 (new-style special method lookup)
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Tracker [EMAIL PROTECTED]
http://bugs.python.org/issue2605
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Python-bugs-list
Piet Delport [EMAIL PROTECTED] added the comment:
Somewhat related: #2605 (descriptor __get__/__set__/__delete__)
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nosy: +pjd
Tracker [EMAIL PROTECTED]
http://bugs.python.org/issue643841
Piet Delport [EMAIL PROTECTED] added the comment:
If any of the variables in test.globs are changed by the test (e.g.
appending to a list), then rerunning the test will not necessarily give
the same result.
This is true, but modifying the globals such that subsequent runs of the
same test can
Piet Delport [EMAIL PROTECTED] added the comment:
Well, whether that code is wrong depends on whether your project policy
wants repeatable tests or not. A repeatable and arguably more idiomatic
way of writing that example is to give DocFileSuite a setUp function
which initializes any special
New submission from Piet Delport [EMAIL PROTECTED]:
Short version: __get__/__set__/__delete__ attributes on descriptor objects
(as opposed to their types) are treated inconsistently as part of the
descriptor
protocol: the documentation and support code includes them; the core
implementation
New submission from Piet Delport [EMAIL PROTECTED]:
DocTestCase.tearDown destructively clears its DocTest instance's globs,
preventing the test from being run repeatedly (such as with trial
--until-failure).
There's a fix for this in zope.testing's version of doctest, which
resets the globs
Piet Delport [EMAIL PROTECTED] added the comment:
Addendum: This appears to be a regression in r36809 (Python 2.4+).
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Tracker [EMAIL PROTECTED]
http://bugs.python.org/issue2604
On Mar 17, 1:49 am, Diez B. Roggisch [EMAIL PROTECTED] wrote:
I doubt that. AFAIK both arrays and lists are continuous memory-areas,
that double (at least to a certain threshold or so) when reaching the
capacity limit.
For what it's worth, lists over-allocate by ~1/8, and arrays by ~1/16.
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