Tue Apr 15 02:40:01 CDT 2008
Could this simply be because you are running the example file from bvp
By the way, I translated a couple of examples from the MATLAB's bvp4c
tutorial to python: you can find them here:
On Tue, Apr 15, 2008 at 7:15 AM, Agile Aspect <email@example.com>
> Hi - I tried version 0.2.2 using Python 2.4.2 from the command
> line and it works great!
> I have a related question which may be off topic.
> When I run this test script from inside Eclipse using Python/Qt4
> (the same C based Python I used to test bvp from the command
> line) it generates the following error
> Traceback (most recent call last):
> "/home/ken/projects/workspace/cpp/bvp/src/test/ex1.py", line 24, in ?
> solution = bvp.colnew.solve(
> AttributeError: 'module' object has no attribute 'colnew'
> Any ideas as to what might be causing this problem?
> Is this permission problem? Would it be possible to use reflection
> to get around it?
> I've been using Eclipse/Python/Q4t for a couple of years and this
> is the first time I've had this problem.
> Any help would be greatly appreciated.
> -- Ken
> Pauli Virtanen wrote:
> > Hi Nils,
> > Fri, 11 Apr 2008 20:03:24 +0200, Nils Wagner wrote:
> >> I installed bvp using the mercurial repository
> >> hg clone static-http://www.iki.fi/pav/hg/bvp.hg bvp.hg
> >> The second example doesn't work for me. Here is the output
> >> /usr/bin/python -i ex2.py
> >> 1.0
> >> unexpected array size: new_size=1, got array with arr_size=0
> >> Traceback (most recent call last):
> >> File "ex2.py", line 61, in ?
> >> coarsen_initial_guess_mesh=True)
> >> File "/usr/lib/python2.4/site-packages/bvp/colnew.py",
> >> line 522, in solve
> >> vectorized_guess)
> >> _colnew.error: failed in converting 8th argument `fixpnt' of
> >> _colnew.colnew to C/Fortran array
> > Should also be fixed in 0.2.2 and current bvp.hg. (And yep, it was also
> > caught by automated tests.)
> > The cause is that apperently something changed in f2py between numpy
> > 1.0.4 and 1.0.5: in colnew.pyf I have
> > integer, dimension(11), intent(in) :: ipar
> > double precision, dimension(ipar), intent(in) :: fixpnt
> > However, f2py bugs out with the "failed in converting" if ipar == 0
> > and fixpnt.size == 0, which I don't think it did in 1.0.3 or 1.0.4. If
> > fixed this by making fixpnt a shape = (1,) array even for ipar == 0,
> > and it appears to work on numpy 1.0.2, 1.0.4, 1.0.5, even though I don't
> > know whether it should.
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