On Jan 29, 2012, at 8:08 PM, Yun Tao wrote:

> I've been leaning FiPy in hope to solve a coupled system of stochastic pde's 
> that are representations of animal migration mechanisms. So far I've found 
> just one recent thread related to the topic: 
> http://comments.gmane.org/gmane.comp.python.fipy/2329
> Regarding the response by Jonathan Guyer, I'm hoping to know whether the 
> major release mentioned therein, or at least its simultaneous solutions 
> solver, is currently available.

FiPy with coupled solutions has not been released yet, as we have been trying 
to resolve a few edge cases that cause test failures in certain configurations.

FiPy's development code, as you found, is always available *without support* 
via svn and can be viewed at http://matforge.org/fipy/browser. The code in 
trunk/ is always what we intend to eventually release.


> On a similar note, I found a wonderful script for coupled system written by 
> Jonathan: 
> http://matforge.org/fipy/browser/trunk/examples/cahnHilliard/mesh2D-coupled.py

Actually, I think Daniel wrote that, despite my name appearing first.

> Since it is the only example I can find of this class of problems, I've been 
> trying to understand it to the fullest extent. However, I've been having 
> trouble running through the program myself and wonder whether the link above 
> refers to the finalized, working version.
> 
> Minor hiccup wise, on ln 81, the ".value" after the GaussianNoiseVariable 
> seems to unnecessarily reduce the variable "noise" to an array of zeros.
> 
> A more serious complication is when executing the program through ln 145 
> repeatedly yields the following error message:
> TypeError: __init__() got an unexpected keyword argument 'var'

Both issues would appear to be due to your running an example from FiPy's 
trunk/ with an older FiPy installation (presumably 2.1.x). You would need to 
install all of FiPy's code from SVN trunk/ in order to run this example.


> Thank you all for having been so incredibly helpful. Long live FiPy!

We're happy to help.


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