TypeError when using SLSQP solver in PyOpt library

Question

I'm getting TypeErrors when trying to run the optimization library pyOpt. The code I'm trying to run is the basic example given here (I'm only testing for the SLSQP solver).

I'm getting the following error during the execution of the solver

la = numpy.array([max(m,1)], numpy.int) gg = numpy.zeros([la], numpy.float) TypeError: only integer scalar arrays can be converted to a scalar index

I suspect the error is due to changes in numpy because of the answer given here. If that is the case, what are my options to make the library work? I can think of downgrading numpy but I don't want any unforseen changes to the other libraries in my system.

Using Python 2.7 with numpy 1.12.1 on Ubuntu 14.04.

Sohrab T · Accepted Answer · 2017-07-04 15:50:45Z

1

replace lz with lz[0] - the issue is with version of numpy as you noted.

/usr/local/lib/python2.7/dist-packages/pyOpt/pySLSQP/pySLSQP.py

I got it to run by changing lines

374     gg = numpy.zeros([la[0]], numpy.float)
377     dg = numpy.zeros([la[0],n+1], numpy.float)
401     w = numpy.zeros([lw[0]], numpy.float)
404     jw = numpy.zeros([ljw[0]], numpy.intc)

I ended up encountering errors during execution that were not python errors but rather errors encountered during operation of the compiled code, so I just switched to using pyGMO2 and I am satisfied.

edited Jul 4, 2017 at 15:50

answered Jul 4, 2017 at 0:43

Sohrab T

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