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Hello Herb,<br>
<br>
Thank you for pointing out these issues.<br>
I don't get this error on my windows machine. <br>
It looks like the error occurs somewhere between lines 528-530 of
'cyipopt.pyx'. Currently I don't see why the code should throw this
kind of error. Maybe it has to do with the numpy version? (I use
numpy 1.6.0)<br>
<br>
I will try to setup a linux machine with ipopt and see if I can
reproduce the problem.<br>
<br>
Thanks,<br>
Amit<br>
<br>
On 28/09/2011 17:07, Herb Schilling wrote:
<blockquote cite="mid:BFCC61D4-65EE-4CC8-AD87-0E77FC5272B2@nasa.gov"
type="cite">Hello Amit,
<div><br>
<div>
<div>On Sep 27, 2011, at 4:27 PM, Amit Aides wrote:</div>
<br class="Apple-interchange-newline">
<blockquote type="cite">
<div>Hello,<br>
<br>
I have written a new python wrapper for Ipopt. It is
called cyipopt and <br>
can be downloaded from:<br>
<a moz-do-not-send="true"
href="http://code.google.com/p/cyipopt/">http://code.google.com/p/cyipopt/</a><br>
<br>
It is similar to pyipopt. Likewise it makes use of the
Ipopt C <br>
interface. But it uses a different calling convention,
more similar to <br>
the Matlab interface. I include two examples under the
folder 'test'. <br>
One is the classic hs071 problem and the other one is a
translation of <br>
the lasso example from the Matlab interface. The
matplotlib package is <br>
needed for running the lasso example.<br>
<br>
Another difference is that it is written using Cython,
which makes it <br>
much easier to develop and maintain. It also enables the
implementation <br>
of some convenience features, e.g. if no jacobian/hessian
structure <br>
callbacks are defined than the jacobian/hessian are
assumed to be dense. <br>
Other convenience examples are:<br>
1) It figures out the number of non zero values by calling
the structure <br>
callbacks.<br>
2) Missing boundaries (on the optimization variables and
constraints) <br>
are set to infinity.<br>
It is also possible to add support for scipy.sparse
matrices if needed.<br>
<br>
I have tested cyipopt on Win 7 32/64 bit. I will be happy
to know if <br>
someone is able to use it on linux machines.<br>
</div>
</blockquote>
<div><br>
</div>
<div><br>
</div>
<div>Thanks for writing this and sharing it with the mailing
list. </div>
<div><br>
</div>
<div>I tried it on Red Hat Linux and :</div>
<div><br>
</div>
<div>1. I had to edit the setup.py file to make the
installation work. Here are the parts I had to change. Some
of this is specific to my computer, obviously! The one thing
I would recommend is that you use forward slashes for path
delimiters. From <a moz-do-not-send="true"
href="http://docs.python.org/distutils/setupscript.html">http://docs.python.org/distutils/setupscript.html</a> </div>
<div><br>
</div>
</div>
</div>
<blockquote class="webkit-indent-blockquote" style="margin: 0 0 0
40px; border: none; padding: 0px;">
<blockquote class="webkit-indent-blockquote" style="margin: 0 0
0 40px; border: none; padding: 0px;">
<div>
<div>
<div><b>Note that any pathnames (files or directories)
supplied in the setup script
should be written using the Unix convention, i.e.
slash-separated. The
Distutils will take care of converting this
platform-neutral representation into
whatever is appropriate on your current platform
before actually using the
pathname. This makes your setup script portable across
operating systems, which
of course is one of the major goals of the Distutils.
In</b></div>
</div>
</div>
</blockquote>
</blockquote>
<div>
<div>
<div><br>
</div>
<div>
<div>PACKAGE_NAME = 'ipopt'</div>
<div>IPOPT_ICLUDE_DIR=r'/home/hschilli/local/include/coin'</div>
<div>IPOPT_LIB='ipopt'</div>
<div>IPOPT_LIB_DIR=r'/home/hschilli/local/lib/coin'</div>
<div>IPOPT_DLL='libipopt.so'</div>
<div><br>
</div>
<div>
<div> ext_modules = [</div>
<div> Extension(</div>
<div> PACKAGE_NAME + '.' + 'cyipopt',</div>
<div> [r'src/cyipopt.pyx'],</div>
<div> include_dirs=[IPOPT_ICLUDE_DIR,
np.get_include()],</div>
<div>
libraries=[IPOPT_LIB,'coinhsl','coinlapack','coinblas','coinmumps','coinmetis'],</div>
<div>
library_dirs=[IPOPT_LIB_DIR,'/home/hschilli/local/lib/coin/ThirdParty']</div>
<div> )</div>
<div> ],</div>
</div>
<div><br>
</div>
<div><br>
</div>
</div>
<div><br>
</div>
<div>2. The lasso example worked fine. But the other example
generated this output. I haven't had time to look into what
the problem is there. </div>
<div><br>
</div>
<div>
<div>(devenv)[659]cyipopt(dev) > python
test/examplehs071.py </div>
<div><br>
</div>
<div>******************************************************************************</div>
<div>This program contains Ipopt, a library for large-scale
nonlinear optimization.</div>
<div> Ipopt is released as open source code under the
Eclipse Public License (EPL).</div>
<div> For more information visit <a
moz-do-not-send="true"
href="http://projects.coin-or.org/Ipopt">http://projects.coin-or.org/Ipopt</a></div>
<div>******************************************************************************</div>
<div><br>
</div>
<div>This is Ipopt version 3.9.2, running with linear solver
ma27.</div>
<div><br>
</div>
<div>Exception ValueError: 'The truth value of an array with
more than one element is ambiguous. Use a.any() or
a.all()' in 'ipopt.cyipopt.jacobian_cb' ignored</div>
<div>Exception of type: ERROR_IN_TNLP_DERIVATIVE_TEST in
file "IpTNLPAdapter.cpp" at line 2526:</div>
<div> Exception message: retval evaluated false: In TNLP
derivative test: Jacobian structure could not be
evaluated.</div>
<div><br>
</div>
<div>EXIT: Some uncaught Ipopt exception encountered.</div>
<div>Solution of the primal variables: x=array([ 1., 5.,
5., 1.])</div>
<div><br>
</div>
<div>Solution of the dual variables: lambda=array([ 0.,
0.])</div>
<div><br>
</div>
<div>Objective=0.0</div>
<div><br>
</div>
<div><br>
</div>
<div><br>
</div>
</div>
<div><br>
</div>
<br>
<blockquote type="cite">
<div><br>
I will appreciate any feedback: bugs, feature requests
etc.<br>
<br>
Thank you,<br>
Amit Aides<br>
<br>
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</div>
</blockquote>
</div>
<br>
<div>
<div style="font-family: Helvetica; font-size: 12px; ">-----------------------</div>
<div style="font-family: Helvetica; font-size: 12px; ">Herb
Schilling</div>
<div style="font-family: Helvetica; font-size: 12px; "><span
class="Apple-style-span" style="font-family: Helvetica;
font-size: 12px; "><a moz-do-not-send="true"
href="mailto:hschilling@nasa.gov">hschilling@nasa.gov</a></span></div>
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class="khtml-block-placeholder">
</div>
<span class="Apple-style-span" style="font-family: Helvetica;
font-size: 12px; "><br class="Apple-interchange-newline">
</span>
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