pyOpt - Building and Installing
===============================
Copyright (c) 2008-2014, pyOpt Developers


Requirements
------------
pyOpt has the following dependencies:

    * Python 2.4+
    * Numpy 1.0+
    * Swig 1.3+
    * c/FORTRAN compiler (compatible with f2py)
    
Further dependencies to take advantage 
of parallel computing capabilities are:

    * mpi4py

Notes:

    * In Windows with python x86 and numpy-win32 MinGW is recommended if c/FORTRAN compilers are not available.
    * In Windows with python x86-64 and numpy-amd64 MinGW-W64 is recommended if c/FORTRAN compilers are not available.
    * In Linux, the python header files (python-dev) and numpy header files (numpy-dev) are also required.
    * In OpenSUSE systems, install as superuser and modify package execution permission for non-superusers.


Installation
------------
To install the pyOpt package in a folder on the Python search path 
(usually in site-packages/) run:
    
>>> python setup.py install


Alternatively, to use pyOpt from the current directory without
installing it run:
    
>>> python setup.py inplace

this will compile all available optimizers and place the libraries in the corresponding directory.


Notes:
    
    * You may want to uninstall any previous version of pyOpt before installing a new 
      version, as there may be conflicts.
    * Some optimizers are licensed and their sources are not included with this distribution. 
      To use them, please request their sources from the authors as indicated in the optimizer 
      LICENSE files, and place them in their respective source folders before installing the package.
    * In Windows, if MinGW is used make sure to install for it the C, C++, and Fortran compilers and run:
      
      >>> python setup.py install --compiler=mingw32
      
    * Installing to site-packages/ requires root privileges on Linux.
    * By default pyOpt will attempt to use compilers available on the system. To get a list of 
      available compilers and their corresponding flag on a specific system use:
      
      >>> python setup.py compilers