A Python wrapper to the CUTEst optimization test environment
Project description
PyCUTEst is a Python interface to CUTEst, a Fortran package for testing optimization software. It is based on the interface originally developed for CUTEr by Prof. Arpad Buermen.
Requirements
PyCUTEst requires the following software to be installed:
Python 2.7 or Python 3 (http://www.python.org/)
CUTEst (see below)
Additionally, the following python packages should be installed (these will be installed automatically if using pip, see Installation using pip):
NumPy 1.11 or higher (http://www.numpy.org/)
SciPy 0.18 or higher (http://www.scipy.org/)
Installing CUTEst on Linux
These instructions do not include installation of the MATLAB interface. You will need to install four packages: archdefs, SIFDecode, CUTEst and MASTSIF. To keep things simple, install all four packages in the same directory:
$ mkdir cutest $ cd cutest $ git clone https://github.com/ralna/ARCHDefs ./archdefs $ git clone https://github.com/ralna/SIFDecode ./sifdecode $ git clone https://github.com/ralna/CUTEst ./cutest $ git clone https://bitbucket.org/optrove/sif ./mastsif
Note that mastsif
contains all the test problem definitions and
is therefore quite large. If you’re short on space you may want to copy
only the *.SIF files for the problems you wish to test on.
Next set the following environment variables in your ~/.bashrc
to point to the installation directories used above:
# CUTEst export ARCHDEFS=/path/to/cutest/archdefs/ export SIFDECODE=/path/to/cutest/sifdecode/ export MASTSIF=/path/to/cutest/mastsif/ export CUTEST=/path/to/cutest/cutest/ export MYARCH="pc64.lnx.gfo"
Now we are ready to install CUTEst in double precision (requires gfortran
and gcc
):
$ cd ./cutest $ ${ARCHDEFS}/install_optrove Do you wish to install CUTEst (Y/n)? Y Do you require the CUTEst-Matlab interface (y/N)? N Select platform: 6 # PC with generic 64-bit processor Select operating system: 2 # Linux Would you like to review and modify the system commands (y/N)? N Select fortran compiler: 2 # GNU gfortran compiler Would you like to review and modify the fortran compiler settings (y/N)? N Select C compiler: 2 # generic GCC Would you like to compile SIFDecode (Y/n)? Y Would you like to compile CUTEst (Y/n)? Y CUTEst may be compiled in (S)ingle or (D)ouble precision or (B)oth. Which precision do you require for the installed subset (D/s/b) ? D
And CUTEst should run from here.
Installing CUTEst on Mac
To use CUTEst on Mac you will first need to install the Homebrew package manager:
$ cd ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
Then you can easily install CUTEst:
$ brew tap optimizers/cutest $ brew install cutest --without-single --with-matlab # if using Matlab interface $ brew install mastsif # if you want all the test problems $ for f in "archdefs" "mastsif" "sifdecode" "cutest"; do \ $ echo ". $(brew --prefix $f)/$f.bashrc" >> ~/.bashrc; \ $ done
Installation using pip
For easy installation, use pip as root:
$ [sudo] pip install pycutest
or alternatively easy_install:
$ [sudo] easy_install pycutest
If you do not have root privileges or you want to install PyCUTEst for your private use, you can use:
$ pip install --user pycutest
which will install PyCUTEst in your home directory.
Note that if an older install of PyCUTEst is present on your system you can use:
$ [sudo] pip install --upgrade pycutest
to upgrade PyCUTEst to the latest version.
You will then need to create a folder which will store all your compiled problems:
$ mkdir pycutest_cache
And set an environment variable to tell PyCUTEst about this directory, by adding to your ~/.bashrc
file:
export PYCUTEST_CACHE="/path/to/pycutest_cache" export PYTHONPATH="${PYCUTEST_CACHE}:${PYTHONPATH}"
Manual installation
Alternatively, you can download the source code from Github and unpack as follows:
$ git clone https://github.com/jfowkes/pycutest $ cd pycutest
PyCUTEst is written in pure Python and requires no compilation. It can be installed using:
$ [sudo] pip install .
If you do not have root privileges or you want to install PyCUTEst for your private use, you can use:
$ pip install --user .
which will install PyCUTEst in your home directory.
Don’t forget to set up your cache and associated environment variable (see above).
To upgrade PyCUTEst to the latest version, navigate to the top-level directory (i.e. the one containing setup.py
) and rerun the installation using pip
, as above:
$ git pull $ [sudo] pip install . # with root privileges
Testing
If you installed PyCUTEst manually, you can test your installation by running:
$ python setup.py test
Uninstallation
If PyCUTEst was installed using pip you can uninstall as follows:
$ [sudo] pip uninstall pycutest
otherwise you have to remove the installed files by hand (located in your python site-packages directory).
Bugs
Please report any bugs using GitHub’s issue tracker.
License
This algorithm is released under the GNU GPL license.
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