Martin v. Löwis v.loewis.de> writes:
> If you want others to help you in finding the bug, you
> need to provide more detail, e.g. a specific piece of
> code that reproducibly wastes memory. If you want to
> study how Python objects are allocated and released,
> you need to create a debug build of
I have a class that does MCMC sampling (Python 2.5) that uses decorators
-- one in particular called _add_to_post that appends the output of the
decorated method to a class attribute. However, when I
subclass this base class, the decorator no longer works:
Traceback (most recent call last):
F
I have a script set up to perform UPDATE commands on an sqlite database
using the sqlite3 module. Everything appears to run fine (there are no error
messages), except that none of the UPDATE commands appear to have actually
updated the table. If I run each command on its own in a sqlite session, t
class called MCMCTest that
is a sublcass of unttest.TestCase, which in turn contains a test
method. Yet, unittest seems not to be aware of it. Is there anything I
am forgetting?
Thanks,
Chris
--
Chris Fonnesbeck + Atlanta, GA + http://trichech.us
--
http://mail.python.org/mailman/listinfo/python
told the "from foo import *" syntax is to be avoided.
Any idea why this is not working as expected?C.-- Chris Fonnesbeck + Atlanta, GA + http://trichech.us
--
http://mail.python.org/mailman/listinfo/python-list
.main()I appear to be subclassing appropriately, and the only method begins with "test", so I do not see the problem. Can anyone help me out?
Thanks,C.-- Chris Fonnesbeck + Atlanta, GA + http://trichech.us
--
http://mail.python.org/mailman/listinfo/python-list
method in : runTest
I have no idea why this is happening. My TestCase class begins with
"test", the method begins with "test", yet no tests are seen. Also, I
do not get the runTest ValueError. I assumed that you get this method
for free win TestCase. The examples certainly do not h
I thought I knew how to do error handling in python, but apparently I
dont. I have a bunch of code to calculate statistical likelihoods, and
use error handling to catch invalid parameters. For example, for the
bernoulli distribution, I have:
def bernoulli_like(self, x, p, name='bernoulli'):
I have been developing a python module for Markov chain Monte Carlo
estimation, in which I frequently compare variable values with a very
large number, that I arbitrarily define as:
inf = 1e1
However, on Windows (have tried on Mac, Linux) I get the following behaviour:
>>> inf = 1e1
>>>
